bluuebunny/crossref_metadata_2025 huggingface dataset:
Metabolic Profiling of Female Tg2576 Mouse Brains Provides Novel Evidence Supporting Intranasal Low-Dose Pioglitazone for Long-Term Treatment at an Early Stage of Alzheimer’s Disease
Authors: Wong Ling Rong , Wong Peiyan , Ho Paul Chi-Lui
Published: December 2020

Accumulating evidence suggests that disruptions in brain energy metabolism may be a key player in the pathogenesis of Alzheimer’s disease (AD). Pioglitazone (PIO) has been found to exert beneficial effects on metabolic dysfunction in many AD preclinical studies. However, limited success in clinical trials remains an obstacle to its development for the treatment of AD. PIO’s poor brain penetration was often cited as a contributing factor to the lack of clinical benefit. In this study, we prepared PIO-loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles and administered them as suspended nanoparticles via nebulization. Preliminary investigation of drug distribution to the brain revealed comparatively reduced systemic exposure after administering PIO nanoparticles via the intranasal route. In vitro, extracellular flux analysis showed significantly raised spare respiratory capacity when cells were treated with low-dose PIO nanoparticles. Tg2576 transgenic mice treated with low-dose PIO nanoparticles over four months exhibited an overall trend of reduced hyperactivity in open field tests but did not show any visible effect on alternation rates in the Y-maze task. Subsequent 1H NMR-based metabolic profiling of their plasma and different brain regions revealed differences in metabolic profiles in the cerebellum, cortex, and hippocampus of Tg2576 mice after long-term PIO treatment, but not in their midbrain and plasma. In particular, the specificity of PIO’s treatment effects on perturbed amino acid metabolism was observed in the cortex of transgenic mice with increases in alanine and N-acetylaspartate levels, supporting the notion that PIO treatment exerts beneficial effects on impaired energy metabolism associated with AD. In conclusion, inhalation exposure to PIO nanoparticles presents an exciting opportunity that this drug could be administered intranasally at a much lower dose while achieving a sufficient level in the brain to elicit metabolic benefits at an early stage of AD but with reduced systemic exposure.
Authentication of Primary Murine Cell Lines by a Microfluidics-Based Lab-On-Chip System
Authors: Hong Yingfen , Singh Nikita , Bamopoulos Stefanos , Gjerga Enio , Schmalbrock Laura K. , Balabanian Karl , Schick Markus , Keller Ulrich , Wirth Matthias
Published: December 2020

The reliable authentication of cell lines is a prerequisite for the reproducibility and replicability of experiments. A common method of cell line authentication is the fragment length analysis (FLA) of short-tandem repeats (STR) by capillary electrophoresis. However, this technique is not always accessible and is often costly. Using a microfluidic electrophoresis system, we analyzed the quality and integrity of different murine cell lines by STR profiling. As a proof of concept, we isolated and immortalized hematopoietic progenitor cells (HPC) of various genotypes through retroviral transduction of the fusion of the estrogen receptor hormone-binding domain with the coding sequence of HoxB8. Cell lines were maintained in the HPC state with Flt3 ligand (FL) and estrogen treatment and could be characterized upon differentiation. In a validation cohort, we applied this technique on primary mutant Kras-driven pancreatic cancer cell lines, which again allowed for clear discrimination. In summary, our study provides evidence that FLA of STR-amplicons by microfluidic electrophoresis allows for stringent quality control and the tracking of cross-contaminations in both genetically stable HPC lines and cancer cell lines, making it a simple and cost-efficient alternative to traditional capillary electrophoresis.
Mitochondrial Dysfunction in Parkinson’s Disease: Focus on Mitochondrial DNA
Authors: Buneeva Olga , Fedchenko Valerii , Kopylov Arthur , Medvedev Alexei
Published: December 2020

Mitochondria, the energy stations of the cell, are the only extranuclear organelles, containing their own (mitochondrial) DNA (mtDNA) and the protein synthesizing machinery. The location of mtDNA in close proximity to the oxidative phosphorylation system of the inner mitochondrial membrane, the main source of reactive oxygen species (ROS), is an important factor responsible for its much higher mutation rate than nuclear DNA. Being more vulnerable to damage than nuclear DNA, mtDNA accumulates mutations, crucial for the development of mitochondrial dysfunction playing a key role in the pathogenesis of various diseases. Good evidence exists that some mtDNA mutations are associated with increased risk of Parkinson’s disease (PD), the movement disorder resulted from the degenerative loss of dopaminergic neurons of substantia nigra. Although their direct impact on mitochondrial function/dysfunction needs further investigation, results of various studies performed using cells isolated from PD patients or their mitochondria (cybrids) suggest their functional importance. Studies involving mtDNA mutator mice also demonstrated the importance of mtDNA deletions, which could also originate from abnormalities induced by mutations in nuclear encoded proteins needed for mtDNA replication (e.g., polymerase γ). However, proteomic studies revealed only a few mitochondrial proteins encoded by mtDNA which were downregulated in various PD models. This suggests nuclear suppression of the mitochondrial defects, which obviously involve cross-talk between nuclear and mitochondrial genomes for maintenance of mitochondrial functioning.
The Effect of Sub-Concussive Impacts during a Rugby Tackling Drill on Brain Function
Authors: McNabb Colm , Reha Tahere , Georgieva Julia , Jacques Angela , Netto Kevin , Lavender Andrew
Published: December 2020

Concussion is known to detrimentally affect brain health. Rugby tackles commonly occur with high collision force between tackler and ball carrier, and low impact head contact is not uncommon. Cognitive deficits following a bout of soccer ball heading has been attributed to the impact and termed sub-concussion. Although soccer ball heading studies provide evidence for acute effects of sub-concussion, it is unknown whether this phenomenon occurs following rugby tackles. This study investigates the acute effects of rugby tackles on brain function and balance in rugby players. Twenty-six volunteers were assigned to either the ball carrier (9), tackler (9) or control (8) group. Controls performed running without the tackle. Outcome measures included corticomotor function using transcranial magnetic brain stimulation (TMS) and balance was assessed by a series of tasks performed on a NeuroCom Balance Master before and immediately after a tackle training drill. Following the tackling bout, the cortical silent period (cSP) increased for the tacklers with no change for ball carrier and control groups, and no differences between groups for balance measures were observed. Lengthening of cSP observed in the tacklers following the bout has been reported in studies of concussion and may indicate long term detrimental effects.
The Association between the Usage of Non-Steroidal Anti-Inflammatory Drugs and Cognitive Status: Analysis of Longitudinal and Cross-Sectional Studies from the Global Alzheimer’s Association Interactive Network and Transcriptomic Data
Authors: Morris Robert , Armbruster Kyle , Silva Julianna , Widell Daniel James , Cheng Feng
Published: December 2020

The degenerative cognitive and physical decline of Alzheimer patients, coupled with the extensive psychological and economic tolls imposed on family members that serve as caretakers, necessitate the discovery of effective cures and preventative measures for age-related cognitive depreciation. In the journey of Alzheimer’s disease treatment discovery, several cross-sectional and longitudinal studies have delineated a noticeable association between the use of nonsteroidal anti-inflammatory drugs (NSAIDs), a class of low-cost drugs with minimal side effects, and the alleviation of age-related memory impairment. In this study, four datasets (two cross-sectional and two longitudinal studies) derived from the Global Alzheimer’s Association Interactive Network (GAAIN) were analyzed. The significant association between the usage of NSAIDs and better cognitive status was observed. The results agree with the findings of previous studies that the use of NSAIDs may be beneficial in the early stages of Alzheimer’s disease. Transcriptomic data show that ibuprofen treatment results in upregulation of several genes involved in arachidonic acid metabolism including PPARγ, Cyp4a12b, Cyp2c66, and Cyp2c37 in the hippocampus. The increase in conversion of arachidonic acid into anti-inflammatory 16C and 18C dicarboxylic acids as well as epoxyeicosatrienoic acids may play a role in reducing the risk of Alzheimer’s disease development.
Indian Medicinal Herbs and Formulations for Alzheimer’s Disease, from Traditional Knowledge to Scientific Assessment
Authors: Mehla Jogender , Gupta Pooja , Pahuja Monika , Diwan Deepti , Diksha Diksha
Published: December 2020

Cognitive impairment, associated with ageing, stress, hypertension and various neurodegenerative disorders including Parkinson’s disease and epilepsy, is a major health issue. The present review focuses on Alzheimer’s disease (AD), since it is the most important cause of cognitive impairment. It is characterized by progressive memory loss, language deficits, depression, agitation, mood disturbances and psychosis. Although the hallmarks of AD are cholinergic dysfunction, β-amyloid plaques and neurofibrillary tangle formation, it is also associated with derangement of other neurotransmitters, elevated levels of advanced glycation end products, oxidative damage, neuroinflammation, genetic and environmental factors. On one hand, this complex etiopathology makes a response to commonly used drugs such as donepezil, rivastigmine, galantamine and memantine less predictable and often unsatisfactory. On the other hand, it supports the use of herbal medicines due to their nonspecific antioxidant and anti-inflammatory activity and specific cholinesterase inhibitory activity. The popularity of herbal medicines is also increasing due to their perceived effectiveness, safety and affordability. In the present article, the experimental and clinical evidence have been reviewed for various Indian herbal medicines such as Centella asiatica, Bacopa monnieri, Curcuma longa, Clitoria ternatea, Withania somnifera, Celastrus paniculatus, Evolvulus alsinoides, Desmodium gangeticum, Eclipta alba, Moringa oleifera and Convolvulus pluricaulis, which have shown potential in cognitive impairment. Some commonly available herbal formulations for memory impairment in India have also been reviewed.
Cognitive Functioning, Life Satisfaction, and Their Relationship with the Financial Attitudes of Older Individuals Who Participate in an Active Aging Program
Authors: Idárraga-Cabrera Claudia , Dueñas Jorge-Manuel , Martínez-González Marina-Begoña , Navarro-Blanco Regina , Denegri-Coria Marianela , Pino Mariana
Published: December 2020

Life expectancy has increased in many countries throughout the world over recent years, leading to new challenges related to aging. A large part of the population is over 60 years old, and therefore studies that focus on financial autonomy and active aging are necessary. In this paper, we analyze the relationship between cognitive functioning and life satisfaction in relation to financial attitudes in a sample of 251 elderly adults (71% women) participating in an active aging program (M = 67.5, SD = 4.5). We used the Mini-Mental State Examination, the Satisfaction with Life scale, and a questionnaire about financial attitudes to gather data. Our results show that cognitive functioning and life satisfaction are related to certain financial attitudes. We also observed differences associated with gender, education level, and financial independence. According to our findings, life satisfaction should be taken into account when the financial attitudes of older adults are evaluated. The importance of support groups for the elderly is highlighted as well as of all those recreation and health programs, since they constitute a means of promoting well-being.
Two Scenarios of Dechlorination of the Chlorinated Hydrocarbons over Nickel-Alumina Catalyst
Authors: Mishakov Ilya V. , Vedyagin Aleksey A. , Bauman Yury I. , Potylitsyna Arina R. , Kadtsyna Anastasiya S. , Chesnokov Vladimir V. , Nalivaiko Anton Yu. , Gromov Alexander A. , Buyanov Roman A.
Published: December 2020

Dechlorination processes attract great interest since they are involved in environmental protection and waste disposal technologies. In this paper, the process of gas-phase dechlorination of 1,2-dichloroethane, chloroform, and chlorobenzene over Ni/Al2O3 catalyst (90 wt% Ni) prepared by a coprecipitation technique was investigated. The reduction behavior of the oxide precursor NiO/Al2O3 was studied by thermogravimetric analysis in a hydrogen medium. A thermodynamic assessment of the conditions under which metallic nickel undergoes deactivation due to the formation of nickel chloride was performed. The dechlorination of chlorinated substrates was studied using a gravimetric flow-through system equipped with McBain balances in a wide range of temperatures (350–650 °C) and hydrogen concentrations (0–98 vol%). The impact of these parameters on selectivity towards the products of hydrodechlorination (C2H4, C2H6, and C6H6) and catalytic pyrolysis (carbon nanomaterial and CH4) was explored. The relationship between the mechanisms of the catalytic hydrodechlorination and the carbide cycle was discussed, and the specific reaction conditions for the implementation of both scenarios were revealed. According to the electron microscopy data, the carbonaceous products deposited on nickel particles during catalytic pyrolysis are represented by nanofibers with a disordered structure formed due to the peculiarity of the process including the side carbon methanation reaction.
Rational Surface Modification of Carbon Nanomaterials for Improved Direct Electron Transfer-Type Bioelectrocatalysis of Redox Enzymes
Authors: Xia Hongqi , Zeng Jiwu
Published: December 2020

Interfacial electron transfer between redox enzymes and electrodes is a key step for enzymatic bioelectrocatalysis in various bioelectrochemical devices. Although the use of carbon nanomaterials enables an increasing number of redox enzymes to carry out bioelectrocatalysis involving direct electron transfer (DET), the role of carbon nanomaterials in interfacial electron transfer remains unclear. Based on the recent progress reported in the literature, in this mini review, the significance of carbon nanomaterials on DET-type bioelectrocatalysis is discussed. Strategies for the oriented immobilization of redox enzymes in rationally modified carbon nanomaterials are also summarized and discussed. Furthermore, techniques to probe redox enzymes in carbon nanomaterials are introduced.
The Spatiotemporal Patterns of Climate Asymmetric Warming and Vegetation Activities in an Arid and Semiarid Region
Authors: Heng Tong , Feng Gary , Ouyang Ying , He Xinlin
Published: December 2020

Asymmetric warming was bound to have a major impact on terrestrial ecosystems in arid regions during global warming. Further study was necessary to reveal the spatiotemporal patterns of asymmetric warming in Xinjiang; this study analyzed the climate and normalized difference vegetation index (NDVI) data (2000–2020). The change trends of the day and nighttime warming (DNW), seasonal warming, and the diurnal temperature range in northern Xinjiang (S1) and southern Xinjiang (S2) were determined. The findings indicated that the DNW rate showed a significant (p < 0.05) upward trend, especially in winter. The nighttime warming rate (0.65 °C (decade)−1) was faster than the daytime warming rate (0.4 °C (decade)−1), and the diurnal temperature range between daytime and nighttime exhibited a decreasing trend. The diurnal temperature range was the highest in spring and the lowest in winter. Extreme values of the diurnal temperature range appeared in autumn (48.6 °C) and winter (12.3 °C) and both in S1. The Tmin in S1 had an abruption trend in 2006–2017, the Tmax in S2 had an abruption trend in 2005–2011, and the probability of spatial abruption in S1 was higher than that in S2. The partial correlation between the NDVI and Tmin was significantly higher than that between the NDVI and Tmax in the area where the significance test passed; therefore, asymmetric nighttime warming had a greater impact on the NDVI than the asymmetric daytime warming.
Environmental Factors Causing the Development of Microorganisms on the Surfaces of National Cultural Monuments Made of Mineral Building Materials—Review
Authors: Stanaszek-Tomal Elżbieta
Published: December 2020

The ability of microorganisms to degrade building materials depends on several factors. Biological corrosion occurs in close dependence with chemical and physical factors affecting microorganisms. The growth and development of microorganisms is stimulated by external stimuli, i.e., environmental factors. Microorganisms have a relatively large tolerance range for changes in environmental conditions. Under the right conditions, microorganisms thrive very well. The adverse effects may cause the inhibition of cell growth, damage, or lead to the death of the microorganism. Considering the impact of environmental factors on microorganisms, it is not possible to identify the most important of them. The result effect of overlapping factors determines the possibility of the growth of certain microorganisms. The main factors affecting the growth are temperature, humidity, hydrogen ion concentration in the environment, oxidoreductive potential, water activity in the environment, and hydrostatic pressure. This article provides a comprehensive overview of the factors causing biodeterioration. The influence of external/internal environment on the surface of cultural monuments made of mineral building materials, i.e., stone, concrete, mortar, etc., is presented.
Investigation of the Influence of Microdroplets on the Coatings Nanolayer Structure
Authors: Grigoriev Sergey , Vereschaka Alexey , Milovich Filipp , Sitnikov Nikolay , Andreev Nikolay , Bublikov Jury , Sotova Catherine , Sadov Ilya
Published: December 2020

The paper presents the results of studies focused on the specific features typical for the formation of the shape and structure of microdroplets embedded into the structure of the Ti–TiN–(Ti,Cr,Mo,Al)N and Ti–TiN–(Ti,Al,Nb,Zr)N coatings during their deposition. Three main microdroplet shapes—a sphere, a tear, and a lens—have been considered. The specific features typical for the formation of secondary layered structures on the surface of some microdroplets have also been examined. As a result of the conducted investigations, with the use of scanning and transmission electron microscopy, the influence of microdroplets on the distortion of the nanolayer structure of the coatings was studied. A hypothesis has been proposed concerning a relationship between the microdroplet shape and the presence or absence of secondary structures and the microdroplet sizes and weight, as well as the conditions in the unit chamber during the movement of a microdroplet from a cathode to the deposition surface. Based on the study focused on the shape of the microdroplet core and the specific features typical for the formation of the secondary structure around it, a hypothesis has been proposed, according to which, for some microdroplets, it takes much more time than previously assumed for the movement from a cathode to the deposition surface.
Elastic Coefficients of β-HMX as Functions of Pressure and Temperature from Molecular Dynamics
Authors: Pereverzev Andrey , Sewell Tommy
Published: December 2020

The isothermal second-order elastic stiffness tensor and isotropic moduli of β-1,3,5,7- tetranitro-1,3,5,7-tetrazoctane (β-HMX) were calculated, using the P21/n space group convention, from molecular dynamics for hydrostatic pressures ranging from 10−4 to 30 GPa and temperatures ranging from 300 to 1100 K using a validated all-atom flexible-molecule force field. The elastic stiffness tensor components were calculated as derivatives of the Cauchy stress tensor components with respect to linear strain components. These derivatives were evaluated numerically by imposing small, prescribed finite strains on the equilibrated β-HMX crystal at a given pressure and temperature and using the equilibrium stress tensors of the strained cells to obtain the derivatives of stress with respect to strain. For a fixed temperature, the elastic coefficients increase substantially with increasing pressure, whereas, for a fixed pressure, the elastic coefficients decrease as temperature increases, in accordance with physical expectations. Comparisons to previous experimental and computational results are provided where possible.
An Integrated Design Strategy for the Urban Regeneration of West Bay, Business District of Doha (State of Qatar)
Authors: Al-Thani Sarah M. , Furlan Raffaello
Published: December 2020

Emergent communities have integrated land use and transportation plan based on transit-oriented developments (TODs) and light rail transit with the sole purpose to enliven and redevelop the constructed environment. Doha has undergone some major transformation in urban growth context due to surge in the economy instigated by oil and gas production. It is noticed that the rapid growth has led to negative impacts in terms of urban design, connectivity, and transportation. It is essential to understand the impact of the TOD model with regards to the challenges and approaches in terms of planning procedures and tactics. The purpose of TOD module is to facilitate access for public transportation and to enable transit commutation which is a missing aspect in the current setting. TODs support and enable sustainable urbanism by revitalizing the livability through integration of land use schemes in the city. This paper focuses on bringing together TOD livability approaches within West Bay, the business district of Doha and its adjacent surroundings. The objective of this research is to assess the livability in West Bay with the implementation of the TOD model. The research findings help to revisit the design and application of TOD models and to enhance the livable conditions for its occupants. The finding suggests a design model based on livability, compactness, public realms, walkability, and accessibility.
Dysgerminoma with a Somatic Exon 17 KIT Mutation and SHH Pathway Activation in a Girl with Turner Syndrome
Authors: Gawrychowska Ada , Iżycka-Świeszewska Ewa , Lipska-Ziętkiewicz Beata S. , Kuleszo Dominika , Bautembach-Minkowska Joanna , Łosin Marcin , Stefanowicz Joanna
Published: December 2020

This article reports a case of a 7-year-old girl with Turner syndrome, treated with growth hormone (GH), who developed ovarian dysgerminoma. The patient karyotype was mosaic for chromosome Xq deletion: 46,X,del(X)(q22)/45,X. No Y chromosome sequences were present. Molecular studies revealed the presence of a driving mutation in exon 17 of the KIT gene in the neoplastic tissue, as well as Sonic-hedgehog (SHH) pathway activation at the protein level. The patient responded well to chemotherapy and remained in complete remission. This is the first case of dysgerminoma in a Turner syndrome patient with such oncogenic pathway.
Cone-Beam CT-Guided Lung Biopsies: Results in 94 Patients
Authors: Gulias-Soidan Daniel , Crus-Sanchez Nilfa Milena , Fraga-Manteiga Daniel , Cao-González Juan Ignacio , Balboa-Barreiro Vanesa , González-Martín Cristina
Published: December 2020

Background: The aim of this study was to evaluate the diagnostic capacity of Cone-Beam computed tomography (CT)-guided transthoracic percutaneous biopsies on lung lesions in our setting and to detect risk factors for possible complications. Methods: Retrospective study of 98 biopsies in 94 patients, performed between May 2017 and January 2020. To obtain them, a 17G coaxial puncture system and a Siemens Artis Zee Floor vc21 archwire were used. Descriptive data of the patients, their position at the time of puncture, location and size of the lesions, number of cylinders extracted, and complications were recorded. Additionally, the fluoroscopy time used in each case, the doses/area and the estimated total doses received by the patients were recorded. Results: Technical success was 96.8%. A total of 87 (92.5%) malignant lesions and 3 (3.1%) benign lesions were diagnosed. The sensitivity was 91.5% and the specificity was 100%. We registered three technical failures and three false negatives initially. Complications included 38 (38.8%) pneumothorax and 2 (2%) hemoptysis cases. Fluoroscopy time used in each case was 4.99 min and the product of the dose area is 11,722.4 microGy/m2. Conclusion: The transthoracic biopsy performed with Cone-Beam CT is accurate and safe in expert hands for the diagnosis of lung lesions. Complications are rare and the radiation dose used was not excessive.
A Novel Earwax Method to Measure Acute and Chronic Glucose Levels
Authors: Herane-Vives Andrés , Espinoza Susana , Sandoval Rodrigo , Ortega Lorena , Alameda Luis , Young Allan H. , Arnone Danilo , Hayes Alexander , Benöhr Jan
Published: December 2020

Diabetes is the fourth cause of death globally. To date, there is not a practical, as well as an accurate sample for reflecting chronic glucose levels. We measured earwax glucose in 37 controls. Participants provided standard serum, glycated hemoglobin (HbA1c) and earwax samples at two time-points, one month apart. The specimens measured baseline fasting glucose, a follow-up postprandial glucose level and a between sample chronic glucose, calculated using the average level on the two occasions. The baseline earwax sample was obtained using a clinical method and the follow-up using a novel self-sampling earwax device. The earwax analytic time was significantly faster using the novel device, in comparison to the clinical use of the syringe. Earwax accurately reflected glucose at both assessments with stronger correlations than HbA1c. Follow-up postprandial concentrations were more significant than their respective fasting baseline concentrations, reflecting differences in fasting and postprandial glycemia and more efficient standardization at follow up. Earwax demonstrated to be more predictable than HbA1c in reflecting systemic fasting, postprandial and long-term glucose levels, and to be less influenced by confounders. Earwax glucose measurements were approximately 60% more predictable than HbA1c in reflecting glycemia over a month. The self-sampling device provided a sample that might accurately reflect chronic glycemia.
Post-Mortem Diagnosis and Autopsy Findings in SARS-CoV-2 Infection: Forensic Case Series
Authors: Keresztesi Arthur-Atilla , Perde Filip , Ghita-Nanu Andreea , Radu Carmen-Corina , Negrea Mihai , Keresztesi Gabriela
Published: December 2020

Towards the end of 2019, a novel coronavirus was identified as the culprit for a cluster of pneumonia cases in Wuhan, China. Since then, it has rapidly spread worldwide, affecting more than 43 million people, and in March 2020, the World Health Organization (WHO) declared it a pandemic. The purpose of the study is to present the findings of 15 forensic autopsies performed in Romania, on SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) positive subjects, and to present the case of one SARS-CoV-2 infected patient who experienced a violent death, as established during their autopsy. A total of 11 male and 4 female patients were autopsied, and SARS-CoV-2 infection was diagnosed post-mortem in two cases. The most frequent symptoms before death were dry cough, dyspnoea, and fever. Hypertension, ischemic cardiac disease, and a history of stroke were the most frequent associated diseases. The mean duration from the symptoms’ debut to a RT-PCR positive SARS-CoV-2 test was 3.7 days, while the mean survival time from the RT-PCR positive test was 4.2 days. A histological examination was performed in seven cases and revealed, in most of them, hyaline membranes, and mixed inflammatory cell infiltration of the interstitium, alveoli, and perivascular areas. In addition, all of the examined cases developed small vessel thrombosis. A case of violent death was also reported, regarding a 87-year-old male subject who suffered a femur fracture (domestic fall) and was diagnosed with SARS-CoV-2 infection the following day after surgery. After transfer to a COVID-19 (coronavirus disease-19) support hospital, during an episode of behavioral disorder, the patient jumped from the first floor window. Death occurred a few days later, and the cause was established as bronchopneumonia superimposed on SARS-CoV-2 infection. In conclusion, autopsies should be conducted while providing a safe environment for professionals to perform them, because they are crucial procedures that can help gain a better understanding of the role of SARS-CoV-2 infection in thanatogenesis.
Did the Physical and Psychological States of Outpatients Receiving Rehabilitation at a Geriatric Health Services Facility Decline during the State of Emergency Caused by the COVID-19 Pandemic?
Authors: Izawa Kazuhiro P. , Oyama Masataka , Okamoto Keisuke
Published: December 2020

Many Geriatric Health Services Facilities in Japan may have continued outpatient rehabilitation by taking measures against infection even during the state of emergency caused by Coronavirus disease 2019 (COVID-19). The present study aimed to determine differences in physical and psychological states in rehabilitation outpatients (age, 83.5 ± 8.4 years) at a Geriatric Health Services Facility between the pre- and post-nationwide state of emergency in Japan. Physical outcomes were assessed with gait speed (GS), timed up and go test (TUG), handgrip strength (HG), and maximum phonation time (MPT). We used the Japanese version of the five-level EuroQoL five-dimensional questionnaire (EQ-5D-5L) to assess patients’ quality of life (QoL) as the psychological state. The physical (GS, pre, 0.92, post, 0.92 s, p = 0.875; TUG, pre, 14.09, post, 14.14 s, p = 0.552; HG, pre, 19.42, post 19.70 kgf, p = 0.807; MPT, pre, 13.6, post, 13.8 s, p = 0.861) and psychological (EQ-5D-5L, pre, 0.73, post, 0.81, p = 0.064) states of the participants did not change significantly between the pre- and post-nationwide state of emergency. This was likely due to the continuance of outpatient rehabilitation in accordance with the facility’s policy while taking adequate safety precautions against COVID-19 infection.
Perceptions of Waterpipe Smoking among Young Adults: A Phenomenological Study
Authors: Dhillon Amraj. , Doran Tim , Aggarwal Vishal.
Published: December 2020

Background: Waterpipe tobacco smoking is becoming increasingly popular in the West among young people. Given the associated health risks of this behaviour, we aimed to investigate why young adults take up waterpipe tobacco smoking and their attitudes to the associated risks. Methods: This was a qualitative study, with a phenomenological perspective. Focus groups and face-to-face semi-structured interviews were conducted among waterpipe smokers aged 20–30 years living in London, UK. Transcripts were analysed using constant comparison and cycling between the data and analysis. Data collection continued until thematic saturation was achieved. Results: Sixteen smokers attended focus groups and face-to-face interviews. Seven main themes emerged encompassing four main dimensions relating to: lack of knowledge, perceived risk, affordability, and social addiction. Waterpipe was perceived to be safer than cigarette smoking due to the pleasant odour, fruity flavours, and belief that water filtered the toxins. The waterpipe had become a “social addiction” enhancing group atmosphere, was cheap and did not have the dangers of violence or hallucinations associated with other addictions like alcohol and drugs. Because of their intermittent smoking patterns and the lack of statutory warnings, none felt they were not at risk of any adverse side effects. Conclusions: Waterpipe smoking is a growing public health problem; the social environment associated with its use is perceived to be a positive outlet by smokers who do not consider it harmful to their health. These perceptions need to be addressed urgently by anti-smoking policies.
Hydrodynamic and Thermodynamic Nonequilibrium Effects around Shock Waves: Based on a Discrete Boltzmann Method
Authors: Lin Chuandong , Su Xianli , Zhang Yudong
Published: December 2020

A shock wave that is characterized by sharp physical gradients always draws the medium out of equilibrium. In this work, both hydrodynamic and thermodynamic nonequilibrium effects around the shock wave are investigated using a discrete Boltzmann model. Via Chapman–Enskog analysis, the local equilibrium and nonequilibrium velocity distribution functions in one-, two-, and three-dimensional velocity space are recovered across the shock wave. Besides, the absolute and relative deviation degrees are defined in order to describe the departure of the fluid system from the equilibrium state. The local and global nonequilibrium effects, nonorganized energy, and nonorganized energy flux are also investigated. Moreover, the impacts of the relaxation frequency, Mach number, thermal conductivity, viscosity, and the specific heat ratio on the nonequilibrium behaviours around shock waves are studied. This work is helpful for a deeper understanding of the fine structures of shock wave and nonequilibrium statistical mechanics.
The Economic Impact of Lockdowns: A Persistent Inoperability Input-Output Approach
Authors: Yu Krista Danielle S. , Aviso Kathleen B. , Santos Joost R. , Tan Raymond R.
Published: December 2020

The COVID-19 pandemic has forced governments around the world to implement unprecedented lockdowns, mandating businesses to shut down for extended periods of time. Previous studies have modeled the impact of disruptions to the economy at static and dynamic settings. This study develops a model to fulfil the need to account for the sustained disruption resulting from the extended shutdown of business operations. Using a persistent inoperability input-output model (PIIM), we are able to show that (1) sectors that suffer higher levels of inoperability during quarantine period may recover faster depending on their resilience; (2) initially unaffected sectors can suffer inoperability levels higher than directly affected sectors over time; (3) the economic impact on other regions not under lockdown is also significant.
Practical Controller Design of Three-Phase Dual Active Bridge Converter for Low Voltage DC Distribution System
Authors: Choi Hyun-jun , Lee Won-bin , Jung Jee-hoon
Published: December 2020

In a low voltage DC (LVDC) distribution system, isolated bi-directional DC-DC converters are key devices to control power flows. A three-phase dual-active-bridge (3P-DAB) converter is one of the suitable candidates due to inherent soft-switching capability, low conduction loss, and high-power density. However, the 3P-DAB converter requires a well-designed controller due to the influence of the equivalent series resistance (ESR) of an output filter capacitor, degrading the performance of the 3P-DAB converter in terms of high-frequency noise. Unfortunately, there is little research that considers the practical design methodology of the 3P-DAB converter’s controller because of its complexity. In this paper, the influence of the ESR on the 3P-DAB converter is presented. Additionally, the generalized average small-signal model (SSM) of the 3P-DAB converter including the ESR of the capacitive output filter is presented. Based on this model, an extended small-signal model and appropriate controller design guide, and performance comparison are presented based on the frequency domain analysis. Finally, experimental results verify the validity of the proposed controller using a 25 kW prototype 3P-DAB converter.
Full Duplex Component-Forward Cooperative Communication for a Secure Wireless Communication System
Authors: Khan Rabia , Jayakody Dushantha
Published: December 2020

The technological breakthrough in the form of Internet of Things (IoT), Big data and connected world is increasing the demand of better spectrum utilization. Half-Duplex (HD) transmission is mostly used in the earlier communication systems. The high transmission demand requires the better utilization of the existing spectrum. There are several possible ways to overcome the problem of better spectrum usage. In-Band Full Duplex (IBFD) is one of the techniques that can double the Spectral Efficiency (SE) in a Beyond 5G (B5G) communication system. In this paper, our aim is to use the spectral efficient IBFD scheme to improve the security of the system with minimum interference. The interference can be reduced by the addition of orthogonality between the transmitted and received signal of a relay. A component-forward scheme is proposed in this paper to create such orthogonality. For achieving the desired aim, IBFD is used with Device-to-Device (D2D), Artificial Noise (AN), Modulation based orthogonalization, Radio Frequency Energy Harvesting (RFEH) and proposed Full-Duplex Component Forward (FD-CF) algorithm for multiple relays. We also use non-linear harvested power as one of the sources to reuse the exiting power for evaluating the system performance. The derivation of Secrecy Outage Probability (SOP) and throughput is derived in this paper for the FD-CF cooperative communication and is explored with and without non-linear RFEH. The simulation results show the comparison between the component-forward and decode-and-forward communication with one or more relays.
SW-VHDL Co-Verification Environment Using Open Source Tools
Authors: Muñoz-Quijada Maria , Sanz Luis , Guzman-Miranda Hipolito
Published: December 2020

The verification of complex digital designs often involves the use of expensive simulators. The present paper proposes an approach to verify a specific family of complex hardware/software systems, whose hardware part, running on an FPGA, communicates with a software counterpart executed on an external processor, such as a user/operator software running on an external PC. The hardware is described in VHDL and the software may be described in any computer language that can be interpreted or compiled into a (Linux) executable file. The presented approach uses open source tools, avoiding expensive license costs and usage restrictions.
I/O Strength-Aware Credit Scheduler for Virtualized Environments
Authors: Lee Jaehak , Yu Heonchang
Published: December 2020

With the evolution of cloud technology, the number of user applications is increasing, and computational workloads are becoming increasingly diverse and unpredictable. However, cloud data centers still exhibit a low I/O performance because of the scheduling policies employed, which are based on the degree of physical CPU (pCPU) occupancy. Notably, existing scheduling policies cannot guarantee good I/O performance because of the uncertainty of the extent of I/O occurrence and the lack of fine-grained workload classification. To overcome these limitations, we propose ISACS, an I/O strength-aware credit scheduler for virtualized environments. Based on the Credit2 scheduler, ISACS provides a fine-grained workload-aware scheduling technique to mitigate I/O performance degradation in virtualized environments. Further, ISACS uses the event channel mechanism in the virtualization architecture to expand the scope of the scheduling information area and measures the I/O strength of each virtual CPU (vCPU) in the run-queue. Then, ISACS allocates two types of virtual credits for all vCPUs in the run-queue to increase I/O performance and concurrently prevent CPU performance degradation. Finally, through I/O load balancing, ISACS prevents I/O-intensive vCPUs from becoming concentrated on specific cores. Our experiments show that compared with existing virtualization environments, ISACS provides a higher I/O performance with a negligible impact on CPU performance.
An IoT Smart Environment in Support of Disease Diagnosis Decentralization
Authors: Andreadis Alessandro , Zambon Riccardo
Published: December 2020

The percentage of seniors in the global population is constantly growing and solutions in the field of fall detection and early detection of neuro-degenerative pathologies have a crucial role in order to increase life expectancy and quality of life. This study aims to extend fall detection and effective recognition of early signs of diseases to new smart environments, conceiving the decentralization of diagnostic monitoring in everyday life activities in a more pervasive paradigm. Inspiring to research outcomes, in this work an architecture is designed to detect falls in crowded indoor environments during events/exhibitions, for favoring a timely and effective intervention. It also foresees a continue monitoring of the gait for seniors during the visit, thus extracting key features which are stored on a dedicated database. The proposed solution allows third party researchers to perform analysis on the obtained gait datasets, through the adoption of advanced data-mining techniques for the detection of early signs of neuro-degenerative diseases and other pathologies. The architecture designed here aims to provide a step forward concerning the extension of smart monitoring environments for the detection of falls and early signs of pathologies in everyday life, in a more pervasive and decentralized paradigm.
Design of 300 GHz Combined Doubler/Subharmonic Mixer Based on Schottky Diodes with Integrated MMIC Based Local Oscillator
Authors: Pérez-Escudero José M. , Quemada Carlos , Gonzalo Ramón , Ederra Iñigo
Published: December 2020

In this paper the design and experimental characterization of a combined doubler-subharmonic mixer based on Schottky diodes which uses a 75 GHz MMIC based local oscillator is presented. This solution integrates in the same substrate the doubler and the mixer, which share the same metallic packaging with the local oscillator. The prototype has been fabricated and measured. For characterization, the Y-Factor technique has been used and the prototype yields a best conversion loss and equivalent noise temperature of 11 dB and 1976 K, respectively, at 305 GHz. This performance is close to the state of the art, and shows the potential of this approach, which allows a significant reduction in terms of size and volume.
Optimizing Filter-Based Feature Selection Method Flow for Intrusion Detection System
Authors: Siddiqi Murtaza Ahmed , Pak Wooguil
Published: December 2020

In recent times, with the advancement in technology and revolution in digital information, networks generate massive amounts of data. Due to the massive and rapid transmission of data, keeping up with security requirements is becoming more challenging. Machine learning (ML)-based intrusion detection systems (IDSs) are considered as one of the most suitable solutions for big data security. Despite the progress in ML, unrelated features can drastically influence the performance of an IDS. Feature selection plays a significant role in improving ML-based IDSs. However, the recent growth of dimensionality in data poses quite a challenge for current feature selection and extraction methods. Due to high data dimensionality, feature selection methods suffer in terms of efficiency and effectiveness. In this paper, we are introducing a new process flow for filter-based feature selection with the help of a transformation technique. Generally, normalization or transformation is implemented before classification. In our proposed model, we implemented and evaluated the effects of normalization before feature selection. To present a clear analysis on the effects of power transformation, five different transformations were implemented and evaluated. Furthermore, we implemented and compared different feature selection methods with the proposed process flow. Results show that compared with existing process flow and feature selection methods, our proposed process flow for feature selection can locate a more relevant set of features with high efficiency and accuracy.
New Second-Order Sliding Mode Control Design for Load Frequency Control of a Power System
Authors: Huynh Van Van , Tran Phong Thanh , Minh Bui Le Ngoc , Tran Anh Tuan , Tuan Dao Huy , Nguyen Tam Minh , Vu Phan-Tu
Published: December 2020

The implementation of the sliding mode control (SMC) for load frequency control of power networks becomes difficult due to the chattering phenomenon of high-frequency switching. This chattering problem in SMC is extremely dangerous for actuators used in power systems. In this paper, a continuous control strategy by combining a second-order mode and integral siding surface is proposed as a possible solution to this problem. The proposed second-order integral sliding mode control (SOISMC) law not only rejects chattering phenomenon in control input, but also guarantees the robustness of the multi-area power network, which has an effect on parametric uncertainties such as the load variations and the matched or mismatched parameter uncertainties. Moreover, the reporting of the simulation indicates that the proposed controller upholds the quality requirement by controlling with operating conditions in the larger range, rejects disturbance, reduces the transient response of frequency, eliminates the overshoot problem, and can better address load uncertainties compared to several previous control methods. The simulation results also show that the proposed SOISMC can be used for practical multi-area power network to lessen high parameter uncertainties and load disturbances.
PV Power Prediction, Using CNN-LSTM Hybrid Neural Network Model. Case of Study: Temixco-Morelos, México
Authors: Tovar Mario , Robles Miguel , Rashid Felipe
Published: December 2020

Due to the intermittent nature of solar energy, accurate photovoltaic power predictions are very important for energy integration into existing energy systems. The evolution of deep learning has also opened the possibility to apply neural network models to predict time series, achieving excellent results. In this paper, a five layer CNN-LSTM model is proposed for photovoltaic power predictions using real data from a location in Temixco, Morelos in Mexico. In the proposed hybrid model, the convolutional layer acts like a filter, extracting local features of the data; then the temporal features are extracted by the long short-term memory network. Finally, the performance of the hybrid model with five layers is compared with a single model (a single LSTM), a CNN-LSTM hybrid model with two layers and two well known popular benchmarks. The results also shows that the hybrid neural network model has better prediction effect than the two layer hybrid model, the single prediction model, the Lasso regression or the Ridge regression.
On the Potential of Reduced Order Models for Wind Farm Control: A Koopman Dynamic Mode Decomposition Approach
Authors: Cassamo Nassir , van Wingerden Jan-Willem
Published: December 2020

The high dimensions and governing non-linear dynamics in wind farm systems make the design of numerical optimal controllers computationally expensive. A possible pathway to circumvent this challenge lies in finding reduced order models which can accurately embed the existing non-linearities. The work presented here applies the ideas motivated by non-linear dynamical systems theory—the Koopman Operator—to an innovative algorithm in the context of wind farm systems—Input Output Dynamic Mode Decomposition (IODMD)—to improve on the ability to model the aerodynamic interaction between wind turbines in a wind farm and uncover insights into the existing dynamics. It is shown that a reduced order linear state space model can reproduce the downstream turbine generator power dynamics and reconstruct the upstream turbine wake. It is further shown that the fit can be improved by judiciously choosing the Koopman observables used in the IODMD algorithm without jeopardizing the models ability to rebuild the turbine wake. The extensions to the IODMD algorithm provide an important step towards the design of linear reduced order models which can accurately reproduce the dynamics in a wind farm.