bluuebunny/crossref_metadata_2025 huggingface dataset:
Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques
Authors: Hussain Ali , Choi Hee-Eun , Kim Hyo-Jung , Aich Satyabrata , Saqlain Muhammad , Kim Hee-Cheol
Published: May 2021

Preventing exacerbation and seeking to determine the severity of the disease during the hospitalization of chronic obstructive pulmonary disease (COPD) patients is a crucial global initiative for chronic obstructive lung disease (GOLD); this option is available only for stable-phase patients. Recently, the assessment and prediction techniques that are used have been determined to be inadequate for acute exacerbation of chronic obstructive pulmonary disease patients. To magnify the monitoring and treatment of acute exacerbation COPD patients, we need to rely on the AI system, because traditional methods take a long time for the prognosis of the disease. Machine-learning techniques have shown the capacity to be effectively used in crucial healthcare applications. In this paper, we propose a voting ensemble classifier with 24 features to identify the severity of chronic obstructive pulmonary disease patients. In our study, we applied five machine-learning classifiers, namely random forests (RF), support vector machine (SVM), gradient boosting machine (GBM), XGboost (XGB), and K-nearest neighbor (KNN). These classifiers were trained with a set of 24 features. After that, we combined their results with a soft voting ensemble (SVE) method. Consequently, we found performance measures with an accuracy of 91.0849%, a precision of 90.7725%, a recall of 91.3607%, an F-measure of 91.0656%, and an AUC score of 96.8656%, respectively. Our result shows that the SVE classifier with the proposed twenty-four features outperformed regular machine-learning-based methods for chronic obstructive pulmonary disease (COPD) patients. The SVE classifier helps respiratory physicians to estimate the severity of COPD patients in the early stage, consequently guiding the cure strategy and helps the prognosis of COPD patients.
Cell Adhesion Molecule 1 (CADM1) Is an Independent Prognostic Factor in Patients with Cutaneous Squamous Cell Carcinoma
Authors: Saito-Sasaki Natsuko , Sawada Yu , Okada Etsuko , Nakamura Motonobu
Published: May 2021

Cell adhesion molecular 1 (CADM1) is a multifunctional cell adhesion molecule belonging to the immunoglobulin superfamily, which suppresses malignant solid tumor development. However, the correlation between CADM1 expression and prognosis in cutaneous squamous cell carcinoma (cSCC) patients remains unclear. In a retrospective analysis of 88 patients diagnosed with cSCC at our institution between January 2006 and December 2016, the degree of CADM1 expression in tumor cells was evaluated by immunostaining. Fifty-five and 33 patients had tumors with high and low CADM1 expression, respectively. Low CADM1 expression on the tumor was associated with poor differentiation, whereas the Kaplan–Meier curve and log-lank test indicated a favorable prognosis with high CADM1 expression. Multivariate analysis excluding the effect of the degree of differentiation and clinical stages showed that the hazard ratio (HR) of survival was significantly increased with low CADM1 expression. Thus, CADM1 expression is an independent prognostic factor for cSCC patients.
Role of 11C-Methionine PET/CT in 99mTc-Sestamibi-Negative Parathyroid Adenoma: A Case Report
Authors: Yoo Jang , Cheon Miju
Published: May 2021

We report a case of 16-year-old female primary hyperparathyroidism patient who underwent cervical ultrasonography and 99mTc-sestamibi single photon emission computed tomography/computed tomography, both of which were negative for parathyroid adenoma. Subsequent 11C-methionine positron emission tomography/CT showed positive focal uptake suggesting parathyroid adenoma, which then was confirmed pathologically.
Fatigue in Kidney Transplantation: A Systematic Review and Meta-Analysis
Authors: Bossola Maurizio , Arena Maria , Urciuolo Federica , Antocicco Manuela , Pepe Gilda , Calabrò Giovanna Elisa , Cianfrocca Claudia , Stasio Enrico Di
Published: May 2021

Fatigue is still present in up to 40–50% of kidney transplant recipients (KTR), the results of studies comparing the prevalence among patients on hemodialysis (HD) and KTR led to conflicting results. Fatigue correlates include inflammation, symptoms of depression, sleep disorders and obesity. Fatigue in KTR leads to significant functional impairment, it is common among KTR poorly adherent to immunosuppressive therapy and is associated with a serious deterioration of quality of life. The following databases were searched for relevant studies up to November 2020: Medline, PubMed, Web of Science and the Cochrane Library. Several studies have compared the prevalence and severity of fatigue between KTR and hemodialysis or healthy patients. They have shown that fatigue determines a significant functional deterioration with less chance of having a paid job and a significant change in quality of life. The aim of the review is to report methods to assess fatigue and its prevalence in KTR patients, compared to HD subjects and define the effects of fatigue on health status and daily life. There is no evidence of studies on the treatment of this symptom in KTR. Efforts to identify and treat fatigue should be a priority to improve the quality of life of KTR.
Exploring Feelings of Worry and Sources of Stress during COVID-19 Pandemic among Parents of Children with Disability: A Sample from Arab Countries
Authors: Abdelfattah Faisal , Rababah Ahmad , Alqaryouti Ibrahim , Alsartawi Zaidan , Khlaifat Dareen , Awamleh Abdullah
Published: May 2021

The study sought to explore feelings of worry and sources of stress-affected parents of children with disabilities, as well as describing the negative feelings and how resources helped them overcome stress due to the outbreak of the Coronavirus. Furthermore, we sought to assess the level of general satisfaction with the services they have obtained remotely. Methodology: A sample of 623 parents of children with disabilities filled out an electronic self-report questionnaire during the period June 4th to June 20th, 2020. Results: The parents reported a high level of worry regarding the possibility of their child getting infected. Parents continue to worry about losing their child’s care and treatment. Parents who hold a bachelor’s degree feel the sources of stress at a higher level compared to parents with lower than high school education. A proportion of 59% of parents reported not receiving services from special education centers during the pandemic, and 41% of parents were satisfied with the services provided by the center of special education. Parents with a bachelor’s degree or higher were less satisfied with the center’s services. Parents with a higher qualification than secondary school use several sources to overcome the pressure associated with educating a child with a disability. Conclusion: Mental health fears were associated with pandemic restrictions. The study recommends special education centers implement strategies that support parents with special education children.
Model for Vehicle to Home System with Additional Energy Storage for Households
Authors: Hinov Nikolay , Dimitrov Vladimir , Vacheva Gergana
Published: May 2021

Smart integration of the upcoming proliferation of electric forms of transport in our energy system is the key in order to make it more robust and ready for a greener future. As such, technologies as Vehicle to Home are key in order to optimize the house consumption on an individual level. This paper develops the key blocks of a modified Vehicle to Home system, where in addition to the EV, a stationary battery pack is added. The paper presents models for household consumption, bidirectional AC/DC converter, its control system, dc/dc controllers, and their controllers. The goal is to design a system capable of consuming a desired power over time from the AC grid. Any energy difference is used to charge or discharge the available energy sources. As such, optimal control strategies are developed for the control of both the charging/discharging process. The presented optimized models allow for system level simulation for several weeks on a typical computer. Using this model some allows bot sizing the dc energy storage needed, along with comparison of different control algorithms for the power converters.
Efficient Circuit Structure Analysis for Automatic Behavioral Model Generation in Mixed-Signal System Simulation
Authors: Song Ling-Yen , Lou Yu-Kang , Lin Ching-Ho , Liu Chien-Nan , Huang Juinn-Dar , Jou Jing-Yang , Lee Meng-Jung , Lo Yu-Lan
Published: May 2021

For mixed-signal systems, identifying the analog and digital circuit blocks in the transistor-level netlist has many benefits for system analysis and verification. However, existing approaches still have difficulty handling large mixed-signal designs with millions of transistors, especially when multiple analog structure patterns are included. In this paper, we propose an efficient structure recognition methodology to support analyzing highly complex designs with various circuit structures and different devices. In order to tackle the complexity of real cases, a hierarchical partition-based analysis methodology and an encoding-based fast screening technique are proposed in this work. To correctly ascertain the boundary of analog and digital structures, we propose an enhanced direct current connection (DCC) partition method and combine it with the analog structure analysis flow. The non-transistor devices, such as resistors and capacitors, are also included in our recognition flow to improve the recognition capability and accuracy. As demonstrated with two industrial cases, the behavioral models generated from the structure recognition results do help to improve the efficiency of the AMS system verification.
EnGe-CSNet: A Trainable Image Compressed Sensing Model Based on Variational Encoder and Generative Networks
Authors: Zheng Bowen , Zhang Jianping , Sun Guiling , Ren Xiangnan
Published: May 2021

The present study primarily investigates the topic of image reconstruction at high compression rates. As proven from compressed sensing theory, an appropriate algorithm is capable of reconstructing natural images from a few measurements since they are sparse in several transform domains (e.g., Discrete Cosine Transform and Wavelet Transform). To enhance the quality of reconstructed images in specific applications, this paper builds a trainable deep compressed sensing model, termed as EnGe-CSNet, by combining Convolution Generative Adversarial Networks and a Variational Autoencoder. Given the significant structural similarity between a certain type of natural images collected with image sensors, deep convolutional networks are pre-trained on images that are set to learn the low dimensional manifolds of high dimensional images. The generative network is employed as the prior information, and it is used to reconstruct images from compressed measurements. As revealed from the experimental results, the proposed model exhibits a better performance than competitive algorithms at high compression rates. Furthermore, as indicated by several reconstructed samples of noisy images, the model here is robust to pattern noise. The present study is critical to facilitating the application of image compressed sensing.
Real-Time On-Board Deep Learning Fault Detection for Autonomous UAV Inspections
Authors: Ayoub Naeem , Schneider-Kamp Peter
Published: May 2021

Inspection of high-voltage power lines using unmanned aerial vehicles is an emerging technological alternative to traditional methods. In the Drones4Energy project, we work toward building an autonomous vision-based beyond-visual-line-of-sight (BVLOS) power line inspection system. In this paper, we present a deep learning-based autonomous vision system to detect faults in power line components. We trained a YOLOv4-tiny architecture-based deep neural network, as it showed prominent results for detecting components with high accuracy. For running such deep learning models in a real-time environment, different single-board devices such as the Raspberry Pi 4, Nvidia Jetson Nano, Nvidia Jetson TX2, and Nvidia Jetson AGX Xavier were used for the experimental evaluation. Our experimental results demonstrated that the proposed approach can be effective and efficient for fully automatic real-time on-board visual power line inspection.
The Impact of System Integration on System Costs of a Neighborhood Energy and Water System
Authors: van der Roest Els , Fens Theo , Bloemendal Martin , Beernink Stijn , van der Hoek Jan Peter , van Wijk Ad J. M.
Published: May 2021

The fossil-based energy system is transitioning towards a renewable energy system. One important aspect is the spatial and temporal mismatch between intermitted supply and continuous demand. To ensure a reliable and affordable energy system, we propose an integrated system approach that integrates electricity production, mobility, heating of buildings and water management with a major role for storage and conversion. The minimization of energy transport in such an integrated system indicates the need for local optimization. This study focuses on a comparison between different novel system designs for neighborhood energy and water systems with varying modes of system integration, including all-electric, power-to-heat and power-to-hydrogen. A simulation model is developed to determine the energy and water balance and carry out economic analysis to calculate the system costs of various scenarios. We show that system costs are the lowest in a scenario that combines a hydrogen boiler and heat pumps for household heating; or a power-to-X system that combines power-to-heat, seasonal heat storage, and power-to-hydrogen (2070 €/household/year). Scenarios with electricity as the main energy carrier have higher retrofitting costs for buildings (insulation + heat pump), which leads to higher system costs (2320–2370 €/household/year) than more integrated systems. We conclude that diversification in energy carriers can contribute to a smooth transition of existing residential areas.
Novel Shape-Stabilized Phase Change Material with Cascade Character: Synthesis, Performance and Shaping Evaluation
Authors: Salgado-Pizarro Rebeca , Padilla Jose Antonio , Xuriguera Elena , Barreneche Camila , Fernández Ana Inés
Published: May 2021

Thermal Energy Storage (TES) materials, such as Phase Change Materials (PCMs) are proven to enhance the energy efficiency in many fields, such as automotive and building sectors, which correspond to the most energy intensive ones. Shape-stabilized PCM and cascade PCM are procedures to overcome the most important barriers when PCMs are applied since PCMs need to be encapsulated for their technical use: the leakage of the liquid phase, corrosion, low heat transfer and narrow temperature of application. In the present study, a novel shape stabilized PCM with cascade performance (cascade shape stabilized phase change material, CSS-PCM) is synthesized via dissolution, which allows up to 60 wt.% of a paraffin-PCM in the final composition. The novel CSS-PCM is based on a biopolymer, the polycaprolactone (PCL), a low melting temperature polyester as polymeric matrix and RT27 and Micronal DS 5040 acting as PCM. To evaluate the performance of the new TES materials developed, several techniques have been used: Differential Scanning Calorimetry (DSC), and Fourier-Transformed Infrared (FT-IR) spectroscopy were used to evaluate the thermophysical properties and the chemical properties of the different formulations. The CSS-PCM show an increment of storage capacity by increasing the PCM content, and the thermal reliability was also tested: some of the CSS-PCM formulations were stable for up to 500 thermal cycles. Finally, as a potential application of the new polymeric-based PCM 3D, a printing attempt was performed in order to analyze the viability of the formulations to be used as 3D printing material as a first proof of concept.
Research on Crop Growing Factory: Focusing on Lighting and Environmental Control with Technological Proposal
Authors: Kim Ki-Youn , Huh Jun-Ho , Ko Han-Jong
Published: May 2021

Recently, the interest in the plant factory-based crop production technologies is rising following the application of the smart farm technology to the agricultural arena. A lettuce production system platform is proposed in this study considering the effects of indoor environmental conditions and artificial light sources. The spectral characteristics of a visible ray according to growth performances were analyzed first to develop a control algorithm that can stimulate the plant’s growth for the proposal. Secondly, an imaging system was designed to analyze the plant’s growth characteristics based on the images and set up the system configuration. Lastly, a crop production system was proposed by using an experimental crop production group for environmental control and monitoring.
A New High-Gain DC-DC Converter with Continuous Input Current for DC Microgrid Applications
Authors: Ahmad Javed , Zaid Mohammad , Sarwar Adil , Lin Chang-Hua , Asim Mohammed , Yadav Raj Kumar , Tariq Mohd , Satpathi Kuntal , Alamri Basem
Published: May 2021

The growth of renewable energy in the last two decades has led to the development of new power electronic converters. The DC microgrid can operate in standalone mode, or it can be grid-connected. A DC microgrid consists of various distributed generation (DG) units like solar PV arrays, fuel cells, ultracapacitors, and microturbines. The DC-DC converter plays an important role in boosting the output voltage in DC microgrids. DC-DC converters are needed to boost the output voltage so that a common voltage from different sources is available at the DC link. A conventional boost converter (CBC) suffers from the problem of limited voltage gain, and the stress across the switch is usually equal to the output voltage. The output from DG sources is low and requires high-gain boost converters to enhance the output voltage. In this paper, a new high-gain DC-DC converter with quadratic voltage gain and reduced voltage stress across switching devices was proposed. The proposed converter was an improvement over the CBC and quadratic boost converter (QBC). The converter utilized only two switched inductors, two capacitors, and two switches to achieve the gain. The converter was compared with other recently developed topologies in terms of stress, the number of passive components, and voltage stress across switching devices. The loss analysis also was done using the Piecewise Linear Electrical Circuit Simulation (PLCES). The experimental and theoretical analyses closely agreed with each other.
Greening Energy Finance of Multilateral Development Banks: Review of the World Bank’s Energy Project Investment (1985–2019)
Authors: Kim Jeong Won , Lee Jae-Seung
Published: May 2021

To effectively mitigate global greenhouse gas emissions, both industrialized and developing countries should participate in the energy transition that to replace fossil fuels with renewable energy. Multilateral development banks (MDBs) have been scaling up their renewable energy finance to developing countries to help them achieve their renewable energy targets. This study examines the evolution of energy financing of the World Bank, the oldest and largest MDB, by reviewing and estimating its sector-specific energy investments made over the last 35 years (1985–2019). The results confirm that the World Bank is on the right track supporting energy transition in developing countries, overall; however, limitations exist. While the share of investments in non-hydro renewable energy (NHRE) in the World Bank’s total energy finance was expanded from 1% (1985–1990) to 16.5% (2011–2019), the share of fossil fuels contracted from 51.8% (1985–1990) to 15.2% (2011–2019). However, commitments to fossil fuels have been sustained, but financing for NHRE—US$1.2 billion per year after the adoption of the Paris Agreement—is still insufficient to meet demand. Moreover, NHRE finance tended to be concentrated in middle-income developing countries. To accelerate the energy transition in developing countries, the World Bank needs to increase NHRE finance with more support for low-income countries while reducing fossil fuel finance.
History, Geology, In Situ Stress Pattern, Gas Content and Permeability of Coal Seam Gas Basins in Australia: A Review
Authors: Salmachi Alireza , Rajabi Mojtaba , Wainman Carmine , Mackie Steven , McCabe Peter , Camac Bronwyn , Clarkson Christopher
Published: May 2021

Coal seam gas (CSG), also known as coalbed methane (CBM), is an important source of gas supply to the liquefied natural gas (LNG) exporting facilities in eastern Australia and to the Australian domestic market. In late 2018, Australia became the largest exporter of LNG in the world. 29% of the country’s LNG nameplate capacity is in three east coast facilities that are supplied primarily by coal seam gas. Six geological basins including Bowen, Sydney, Gunnedah, Surat, Cooper and Gloucester host the majority of CSG resources in Australia. The Bowen and Surat basins contain an estimated 40Tcf of CSG whereas other basins contain relatively minor accumulations. In the Cooper Basin of South Australia, thick and laterally extensive Permian deep coal seams (>2 km) are currently underdeveloped resources. Since 2013, gas production exclusively from deep coal seams has been tested as a single add-on fracture stimulation in vertical well completions across the Cooper Basin. The rates and reserves achieved since 2013 demonstrate a robust statistical distribution (>130 hydraulic fracture stages), the mean of which, is economically viable. The geological characteristics including coal rank, thickness and hydrogeology as well as the present-day stress pattern create favourable conditions for CSG production. Detailed analyses of high-resolution borehole image log data reveal that there are major perturbations in maximum horizontal stress (SHmax) orientation, both spatially and with depth in Australian CSG basins, which is critical in hydraulic fracture stimulation and geomechanical modelling. Within a basin, significant variability in gas content and permeability may be observed with depth. The major reasons for such variabilities are coal rank, sealing capacity of overlying formations, measurement methods, thermal effects of magmatic intrusions, geological structures and stress regime. Field studies in Australia show permeability may enhance throughout depletion in CSG fields and the functional form of permeability versus reservoir pressure is exponential, consistent with observations in North American CSG fields.
Understanding the Potential of Wind Farm Exploitation in Tropical Island Countries: A Case for Indonesia
Authors: Fauzy Annas , Yue Cheng-Dar , Tu Chien-Cheng , Lin Ta-Hui
Published: May 2021

Countries worldwide must dramatically reduce their emissions to achieve the goal of limiting temperature increases in line with the Paris Agreement. Involving developing countries in global actions on emission reduction will greatly enhance the effectiveness of global warming mitigation. This study investigated the feasibility of establishing a wind farm at four onshore and three offshore sites in Indonesia. Installing wind turbines with the highest hub height, largest rotor diameter, and lowest cut-in and rated wind speed in an identified area off Wetar Island presented the highest time-based availability and a capacity factor of 46%, as well as the highest power-based availability at 76%. The levelized cost of electricity at 0.082 USD/kWh was comparable to that of power generated from fossil fuels, which ranges from 0.07 to 0.15 USD/kWh in Indonesia. Increasing the feed-in-tariff for wind power from the current 0.08 USD/kWh would provide sufficient incentive for investment. Moving subsidies from fossil fuels toward renewables would facilitate the transition to low-carbon renewables without increasing the financial burden on the country.
Density Profile Analysis of Laminated Beech Veneer Lumber (BauBuche)
Authors: Engehausen Nick , Benthien Jan T. , Nopens Martin , Ressel Jörg B.
Published: May 2021

An irreversible swelling was detected in laminated beech veneer lumber within the initial moistening. Supported by the facts that the lay-up of the glued veneers is exposed to high pressure during hot pressing, and that the density of the finished material exceeds that of solid beech, it was hypothesised that the wood substance is compressed. Laboratory X-ray density profile scans were performed to check this and to identify the part of the material cross section in which the densification has taken place. The higher density was found to be located in the area of the adhesive joints, uniformly over the cross section, while the density in the middle of the veneers corresponds to that of solid beech wood.
COL12A1 Single Nucleotide Polymorphisms rs240736 and rs970547 Are Not Associated with Temporomandibular Joint Disc Displacement without Reduction
Authors: Dalewski Bartosz , Kaczmarek Katarzyna , Jakubowska Anna , Szczuchniak Kamila , Pałka Łukasz , Sobolewska Ewa
Published: May 2021

Temporomandibular disorders (TMDs) may affect up to 25% of the population, with almost 70% of these TMD cases developing malpositioning of the disc over time in what is known as internal derangement (ID). Despite significant efforts, the molecular mechanism underlying disease progression is not yet very well known. In this study, the role of COL12A1 rs970547 and rs240736 polymorphisms as potential genetic factors regulating ID was investigated. The study included 124 Caucasian patients of both sexes after disc displacement without reduction (DDwoR) in either one or two temporomandibular joints (TMJs), either of which meet the criteria for this condition. All patients underwent clinical examination and 3D digital imaging. The COL12A1 rs970547 and rs240736 polymorphisms were evaluated. There were no statistically significant differences in the chi-square test between the study group and healthy controls. The examined COL12A1 rs240736 and rs970547 polymorphisms do not contribute to DDwoR in Polish Caucasians.
Skeletal Muscle Gene Expression Profile in Response to Caloric Restriction and Aging: A Role for SirT1
Authors: Myers Matthew J. , Shaik Fathima , Shaik Fahema , Alway Stephen E. , Mohamed Junaith S.
Published: May 2021

SirT1 plays a crucial role in the regulation of some of the caloric restriction (CR) responsive biological pathways. Aging suppresses SirT1 gene expression in skeletal muscle, suggesting that aging may affect the role of CR in muscle. To determine the role of SirT1 in the regulation of CR regulated pathways in skeletal muscle, we performed high-throughput RNA sequencing using total RNA isolated from the skeletal muscles of young and aged wild-type (WT), SirT1 knockout (SirT1-KO), and SirT1 overexpression (SirT1-OE) mice fed to 20 wk ad libitum (AL) or 40% CR diet. Our data show that aging repressed the global gene expression profile, which was restored by CR via upregulating transcriptional and translational process-related pathways. CR inhibits pathways linked to the extracellular matrix and cytoskeletal proteins regardless of aging. Mitochondrial function and muscle contraction-related pathways are upregulated in aged SirT1 KO mice following CR. SirT1 OE did not affect whole-body energy expenditure or augment skeletal muscle insulin sensitivity associated pathways, regardless of aging or diet. Overall, our RNA-seq data showed that SirT1 and CR have different functions and activation of SirT1 by its activator or exercise may enhance SirT1 activity that, along with CR, likely have a better functional role in aging muscle.
The Use of Polyurethane Injection as a Geotechnical Seismic Isolation Method in Large-Scale Applications: A Numerical Study
Authors: Gatto Michele Placido Antonio , Lentini Valentina , Castelli Francesco , Montrasio Lorella , Grassi Davide
Published: May 2021

This paper analyses the effect of polyurethane injections on the seismic surficial response of cohesionless soils. For this purpose, dynamic finite element numerical analyses were performed through GiD + OpenSees. Both the soil and the composite material, resulted after the expansion of the injected polyurethane, are modelled with a nonlinear hysteretic constitutive model. Based on the polyurethane percentage, a homogenisation of the characteristics was considered for the composite material: linear for density and damping, and exponential (experimentally calibrated) for the stiffness. An expansion coefficient quantifies how much the injected polyurethane expands: three expansion coefficients were considered, each of them related to a different polyurethane density. For the evaluation of the foam stiffness, a linear stiffness–density correlation was used, derived after impact tests. Results showed that polyurethane reduces the surficial accelerations proportionally to the ratio of its seismic impedance and volumetric percentage with respect to the soil seismic impedance and total volume. This is a preliminary indication for the design of polyurethane injections in cohesionless soils for seismic acceleration reduction.
Impulsivity, Emotion Regulation, Cognitive Distortions and Attentional Bias in a Spanish Sample of Gambling Disorder Patients: Comparison between Online and Land-Based Gambling
Authors: Sancho Marta , Bonnaire Céline , Costa Silvia , Casalé-Salayet Gemma , Vera-Igual Javier , Rodríguez Rita Cristina , Duran-Sindreu Santiago , Trujols Joan
Published: May 2021

Several risk factors have been related to the onset and maintenance of gambling disorder (GD). The aim of this study was to explore the differences in emotion dysregulation, impulsivity, cognitive distortions, and attentional bias between online and land-based gamblers. The sample consisted of 88 treatment-seeking patients from the Behavioral Addictions Unit at the Hospital de la Santa Creu i Sant Pau, Barcelona (Spain). Patients were divided into two groups by considering their main type of gambling, i.e., online (n = 26) and land-based gambling (n = 62). Online gamblers were younger, more often employed, with a higher educational level than land-based gamblers. Regarding the rest of the variables, statistically significant differences were only found in Positive Urgency, one of the UPPS-P subscales, in which the land-based gambling group scored higher than the online gambling group. In this exploratory study, individuals with online and land-based GD phenotypes did not differ either in difficulties in emotion regulation or in attentional and cognitive biases. However, land-based GD patients showed a higher tendency to succumb to strong impulses under the influence of positive emotions. These preliminary findings warrant the need to continue investigating GD phenotypes in larger patient samples.
Acute Effects of a High Volume vs. High Intensity Bench Press Protocol on Electromechanical Delay and Muscle Morphology in Recreationally Trained Women
Authors: Bartolomei Sandro , Nigro Federico , Malagoli Lanzoni Ivan , Mangia Anna Lisa , Cortesi Matteo , Ciacci Simone , Fantozzi Silvia
Published: May 2021

The purpose of the present investigation was to compare the acute responses on muscle architecture, electromechanical delay (EMD) and performance following a high volume (HV: 5 sets of 10 reps at 70% of 1 repetition maximum (1RM)) and a high intensity (HI: 5 sets of 3 reps at 90% of 1RM) bench press protocol in women. Eleven recreationally trained women (age = 23.3 ± 1.8 y; body weight = 59.7 ± 6.0 kg; height = 164.0 ± 6.3 cm) performed each protocol in a counterbalanced randomized order. Muscle thickness of pectoral (PEC MT) and triceps muscles (TR MT) were collected prior to and 15 min post each trial. In addition, EMD of pectoral (PEC EMD) and triceps (TR EMD) muscles were calculated during isometric bench press maximum force tests performed at the same timepoints (IBPF). Significantly greater increases in PEC MT (p < 0.001) and TR MT (p < 0.001) were detected following HV compared to HI. PEC EMD showed a significantly greater increase following HV compared to HI (p = 0.039). Results of the present study indicate that the HV bench press protocol results in greater acute morphological and neuromuscular changes compared to a HI protocol in women. Evaluations of muscle morphology and electromechanical delay appear more sensitive to fatigue than maximum isometric force assessments.
Health Anxiety and Its Correlations with Self-Perceived Risk and Attitude on COVID-19 among Malaysian Healthcare Workers during the Pandemic
Authors: Mohd Salleh Sahimi Hajar , Azman Nazirah , Nik Jaafar Nik Ruzyanei , Mohd Daud Tuti Iryani , Baharudin Azlin , Ismail Ahmad Khaldun , Abdul Malek Akramul Zikri , Hassan Mohd Rohaizat , Mohammed Nawi Azmawati
Published: May 2021

Healthcare workers (HCW) are exposed to health-related anxiety in times of pandemic as they are considered to have a high risk of being infected whilst being the vital workforce to manage the outbreak. This study determined the factors that influence health anxiety and its extent in correlations with perceived risk, knowledge, attitude, and practice of HCW. A cross-sectional online survey was conducted on a total of 709 HCW from both public and private healthcare facilities who completed a set of questionnaires on sociodemographic data, knowledge, attitude, and practice of HCW on COVID-19, and health anxiety traits assessed using the short version Health Anxiety Inventory (HAI). Multiple linear regression (adjusted R2 = 0.06) revealed respondents with higher perceived risk for COVID-19 significantly predicted higher HAI scores (beta 1.281, p < 0.001, 95%, CI: 0.64, 1.92), and those with a higher cautious attitude towards COVID-19 significantly predicted higher HAI scores (beta 0.686, p < 0.001, 95%CI: 0.35, 1.02). Healthcare workers’ perceived risk and cautious attitude towards COVID-19 might be potentially influenced by management of the sources and approaches to the dissemination of information of the pandemic. The implementation of certain measures that minimize the infection risk and its related anxiety is important to preserve both their physical and psychological wellbeing.
Are the Physical Environments of Treatment Centres Meeting Recommendations for Patient-Centred Care? Perceptions of Haematological Cancer Patients
Authors: Clinton-McHarg Tara , Paul Christine , Sanson-Fisher Rob , Turon Heidi , Butler Michelle , Lindeman Robert
Published: May 2021

The physical environment of a treatment centre may impact the well-being of patients and their perceptions of care. Outpatients with haematological cancer may be in contact with the treatment centre over long periods and could be particularly affected. This study aimed to identify haematological cancer patients’ perceptions of supportive design elements in the hospital they attended and associations with self-reported mood or well-being. Outpatients from three large metropolitan hospitals in Australia were mailed a self-report questionnaire and responded to statements about the treatment centre concerning their sense of control over the physical surroundings; access to social support; and access to positive distractions. Participants also reported whether they felt the overall environment affected their mood or wellbeing. Of the outpatients who returned the questionnaire (n = 165), almost one-quarter (24%) agreed that the physical environment of the hospital affected their mood or well-being. Patients who disagreed that the hospital was a comfortable temperature or agreed that waiting rooms were crowded had significantly higher odds of reporting that the treatment environment affected their mood or wellbeing. Implementing systems to reduce overcrowding in waiting rooms and increasing patient control over personal temperature in clinics may be the most effective strategies to improve patient wellbeing.
The ADIPS Pilot National Diabetes in Pregnancy Benchmarking Programme
Authors: Immanuel Jincy , Flack Jeff , Wong Vincent W , Yuen Lili , Eagleton Carl , Graham Dorothy , Lagstrom Janet , Wolmarans Louise , Martin Michele , Cheung Ngai Wah , Padmanabhan Suja , Rudland Victoria , Ross Glynis , Moses Robert G , Maple-Brown Louise , Fulcher Ian , Chemmanam Julie , Nolan Christopher J , Oats Jeremy J N , Sweeting Arianne , Simmons David
Published: May 2021

Background: To test the feasibility of benchmarking the care of women with pregnancies complicated by hyperglycaemia. Methods: A retrospective audit of volunteer diabetes services in Australia and New Zealand involving singleton pregnancies resulting in live births between 2014 and 2020. Ranges are shown and compared across services. Results: The audit included 10,144 pregnancies (gestational diabetes mellitus (GDM) = 8696; type 1 diabetes (T1D) = 435; type 2 diabetes (T2D) = 1013) from 11 diabetes services. Among women with GDM, diet alone was used in 39.4% (ranging among centres from 28.8–57.3%), metformin alone in 18.8% (0.4–43.7%), and metformin and insulin in 10.1% (1.5–23.4%); when compared between sites, all p < 0.001. Birth was by elective caesarean in 12.1% (3.6–23.7%) or emergency caesarean in 9.5% (3.5–21.2%) (all p < 0.001). Preterm births (<37 weeks) ranged from 3.7% to 9.4% (p < 0.05), large for gestational age 10.3–26.7% (p < 0.001), admission to special care nursery 16.7–25.0% (p < 0.001), and neonatal hypoglycaemia (<2.6 mmol/L) 6.0–27.0% (p < 0.001). Many women with T1D and T2D had limited pregnancy planning including first trimester hyperglycaemia (HbA1c > 6.5% (48 mmol/mol)), 78.4% and 54.6%, respectively (p < 0.001). Conclusion: Management of maternal hyperglycaemia and pregnancy outcomes varied significantly. The maintenance and extension of this benchmarking service provides opportunities to identify policy and clinical approaches to improve pregnancy outcomes among women with hyperglycaemia in pregnancy.
First Responder Resiliency ECHO: Innovative Telementoring during the COVID-19 Pandemic
Authors: Katzman Joanna G. , Tomedi Laura E. , Everly George , Greenwood-Ericksen Margaret , Romero Elizabeth , Rosenbaum Nils , Medrano Jessica , Menking Paige , Archer Gaelyn R.D. , Martin Chamron , Dow Karina A. , McCoy-Hayes Shannon , Katzman Jeffrey W.
Published: May 2021

The First Responder ECHO (Extension for Community Outcomes) program was established in 2019 to provide education for first responders on self-care techniques and resiliency while establishing a community of practice to alleviate the enormous stress due to trauma and substance misuse in the community. When the SARS-CoV-2 (COVID-19) pandemic hit the United States (US) in March 2020, a tremendous strain was placed on first responders and healthcare workers, resulting in a program expansion to include stress mitigation strategies. From 31 March 2020, through 31 December 2020, 1530 unique first responders and frontline clinicians participated in the newly expanded First Responder Resiliency (FRR) ECHO. The robust curriculum included: psychological first aid, critical incident debriefing, moral distress, crisis management strategies, and self-care skills. Survey and focus group results demonstrated that, while overall stress levels did not decline, participants felt more confident using psychological first aid, managing and recognizing colleagues who needed mental health assistance, and taking time for self-care. Although first responders still face a higher level of stress as a result of their occupation, this FRR ECHO program improves stress management skills while providing weekly learning-listening sessions, social support, and a community of practice for all first responders.
The Importance of Peer Mentoring, Identity Work and Holding Environments: A Study of African American Leadership Development
Authors: Murrell Audrey J. , Blake-Beard Stacy , Porter David M.
Published: May 2021

Mentoring is well-known for its positive impact on diversity and inclusion across a wide variety of organizational contexts. Despite these demonstrated advantages, efforts to develop diverse leaders either through access to informal mentoring relationships or via formal mentoring programs are often complex, expensive, and frequently produce mixed results. We examine the unique impact of peer mentoring to support and develop African American leaders using a formalized program approach. Our findings show that peer mentoring is effective in providing a safe environment for the necessary work of identity to take place among African American leaders. This identity work takes the form of holding behaviors such as enabling perspectives, empathic acknowledgement and containment that are critical for the development, support and validation of diverse leaders. Our findings clearly show the benefit of external identity peer mentors for providing support and validation for African American leaders that can be absent within traditional hierarchical mentoring. By examining the outcomes of an actual leadership development program over time, we provide recommendations on how to enhance diverse leadership development by recognizing and cultivating the positive impact of identity-based peer mentoring.
Analysis of the Degree of Threat to Railway Infrastructure by Falling Tree Vegetation
Authors: Kučera Michal , Dobesova Zdena
Published: May 2021

The article presents a method for determining and evaluating the threat to railway infrastructure from falling trees. The main objective was to identify the degree of threat according to three parameters: the height of tree stands, species composition, and vegetation health. Identification of the threat to individual railway sections would allow the creation of measures that could increase operational safety. Evaluation should be carried out at regular intervals to assess vegetation health during certain seasons. We, therefore, recommend the use of satellite images to provide a data source and regular data updates. The potential benefit is a reduction in railway infrastructure damage and an increase in traffic flow, especially during periods of exceptional weather conditions involving high wind, ice or heavy snow. The new method presented in the paper, based on data for railway infrastructure, law and other data sources in the Czech Republic, determines a Vegetation Threat Index for Railways (VTIR). We selected the Liberec Region as an example case study because of its large spread of wooded areas around railway lines and high incidence of railway traffic accidents.
Assessing the Generalization of Machine Learning-Based Slope Failure Prediction to New Geographic Extents
Authors: Maxwell Aaron E. , Sharma Maneesh , Kite J. Steven , Donaldson Kurt A. , Maynard Shannon M. , Malay Caleb M.
Published: May 2021

Slope failure probabilistic models generated using random forest (RF) machine learning (ML), manually interpreted incident points, and light detection and ranging (LiDAR) digital terrain variables are assessed for predicting and generalizing to new geographic extents. Specifically, models for four Major Land Resource Areas (MLRAs) in the state of West Virginia in the United States (US) were created. All region-specific models were then used to predict withheld validation data within all four MLRAs. For all validation datasets, the model trained using data from the same MLRA provided the highest reported overall accuracy (OA), Kappa statistic, F1 Score, area under the receiver operating characteristic curve (AUC ROC), and area under the precision-recall curve (AUC PR). However, the model from the same MLRA as the validation dataset did not always provide the highest precision, recall, and/or specificity, suggesting that models extrapolated to new geographic extents tend to either overpredict or underpredict the land area of slope failure occurrence whereas they offer a better balance between omission and commission error within the region in which they were trained. This study highlights the value of developing region-specific inventories, models, and high resolution and detailed digital elevation data, since models may not generalize well to new geographic extents, potentially resulting from spatial heterogeneity in landscape and/or slope failure characteristics.
Composites of Nucleic Acids and Boron Clusters (C2B10H12) as Functional Nanoparticles for Downregulation of EGFR Oncogene in Cancer Cells
Authors: Kaniowski Damian , Ebenryter-Olbińska Katarzyna , Kulik Katarzyna , Suwara Justyna , Cypryk Wojciech , Jakóbik-Kolon Agata , Leśnikowski Zbigniew , Nawrot Barbara
Published: May 2021

Epidermal growth factor receptor (EGFR) is one of the most promising molecular targets for anticancer therapy. We used boron clusters as a platform for generation of new materials. For this, functional DNA constructs conjugated with boron clusters (B-ASOs) were developed. These B-ASOs, built from 1,2-dicarba-closo-dodecaborane linked with two anti-EGFR antisense oligonucleotides (ASOs), form with their complementary congeners torus-like nanostructures, as previously shown by atomic force microscope (AFM) and transmission electron cryo-microscopy (cryo-TEM) imaging. In the present work, deepened studies were carried out on B-ASO’s properties. In solution, B-ASOs formed four dominant complexes as confirmed by non-denaturing polyacrylamide gel electrophoresis (PAGE). These complexes exhibited increased stability in cell lysate comparing to the non-modified ASO. Fluorescently labeled B-ASOs localized mostly in the cytoplasm and decreased EGFR expression by activating RNase H. Moreover, the B-ASO complexes altered the cancer cell phenotype, decreased cell migration rate, and arrested the cells in the S phase of cell cycle. The 1,2-dicarba-closo-dodecaborane-containing nanostructures did not activate NLRP3 inflammasome in human macrophages. In addition, as shown by inductively coupled plasma mass spectrometry (ICP MS), these nanostructures effectively penetrated the human squamous carcinoma cells (A431), showing their potential applicability as anticancer agents.
2-Arachidonyl-lysophosphatidylethanolamine Induces Anti-Inflammatory Effects on Macrophages and in Carrageenan-Induced Paw Edema
Authors: Park Soo-Jin , Im Dong-Soon
Published: May 2021

2-Arachidonyl-lysophosphatidylethanolamine, shortly 2-ARA-LPE, is a polyunsaturated lysophosphatidylethanolamine. 2-ARA-LPE has a very long chain arachidonic acid, formed by an ester bond at the sn-2 position. It has been reported that 2-ARA-LPE has anti-inflammatory effects in a zymosan-induced peritonitis model. However, it’s action mechanisms are poorly investigated. Recently, resolution of inflammation is considered to be an active process driven by M2 polarized macrophages. Therefore, we have investigated whether 2-ARA-LPE acts on macrophages for anti-inflammation, whether 2-ARA-LPE modulates macrophage phenotypes to reduce inflammation, and whether 2-ARA-LPE is anti-inflammatory in a carrageenan-induced paw edema model. In mouse peritoneal macrophages, 2-ARA-LPE was found to inhibit lipopolysaccharide (LPS)-induced M1 macrophage polarization, but not induce M2 polarization. 2-ARA-LPE inhibited the inductions of inducible nitric oxide synthase and cyclooxygenase-2 in mouse peritoneal macrophages at the mRNA and protein levels. Furthermore, products of the two genes, nitric oxide and prostaglandin E2, were also inhibited by 2-ARA-LPE. However, 1-oleoyl-LPE did not show any activity on the macrophage polarization and inflammatory responses. The anti-inflammatory activity of 2-ARA-LPE was also verified in vivo in a carrageenan-induced paw edema model. 2-ARA-LPE inhibits LPS-induced M1 polarization, which contributes to anti-inflammation and suppresses the carrageenan-induced paw edema in vivo.