bluuebunny/crossref_metadata_2025 huggingface dataset:
Cognition, Behavior, Sexuality, and Autonomic Responses of Women with Hypothalamic Amenorrhea
Authors: Pruneti Carlo , Guidotti Sara
Published: October 2022

(1) Background: Functional Hypothalamic Amenorrhea (FHA) can be caused by the hyper activation of neuro-endocrine responses to stress. Among other endocrine factors and hypothalamic dysfunctions, the psychophysiological stress response can very frequently lead to an inhibition of the gonadal–pituitary axis. The aim of this study was to investigate the level of neurovegetative activation in a group of young women affected by this condition. (2) Methods: Twenty-five women (mean age = 21.1 ± 4.34) with FHA were consecutively recruited. Information on psycho-physiological distress was collected through a Psychopathological assessment (with the administration of three psychometric tests) and the Psychophysiological Stress Profile (PSP). Their data were compared with a control group. (3) Results: In the PSP, the patients displayed significantly higher values compared to controls in terms of the parameters of muscle tension (sEMG), skin conductance (SCL/SCR), heart rate (HR), and peripheral temperature (PT). Furthermore, autonomic hyper-activation at rest, marked reactivity to stress, and reduced recovery were seen. Moreover, a condition characterized by psychological distress (anxiety and somatic complaints, depressed and irritable mood, obsessive-compulsive traits) emerged. (4) Conclusions: The results highlight autonomic hyper-activation in FHA, which is also associated with psychological distress. Considering that FHA is a condition that affects multiple systems between mind and body, a multimodal, multidimensional, and multidisciplinary assessment of stress is becoming an emerging need.
Design and Fabrication of Flexible Copper Sensor Decorated with Bismuth Micro/Nanodentrites to Detect Lead and Cadmium in Noninvasive Samples of Sweat
Authors: de Campos Anderson M. , Silva Robson R. , Calegaro Marcelo L. , Raymundo-Pereira Paulo A.
Published: October 2022

The use of economic methods to design and fabricate flexible copper sensors decorated with bismuth micro/nanodentrites for the detection of lead and cadmium in sweat is demonstrated. The flexible copper sensors were constructed with simple and cost-effective materials; namely, flexible and adhesive conductive copper tape, adhesive label containing the design of a three-electrode electrochemical system, and nail polish or spray as a protective layer. The flexible copper device consisted of a working electrode decorated with bismuth micro/nanodentrites using an electrodeposition technique, a copper pseudo-reference and copper counter electrodes. Under optimal experimental conditions, the flexible sensing platform showed excellent performance toward the detection of lead and cadmium using differential pulse anodic stripping voltammetry (DPAdSV) in a wide linear range from 2.0 μM to 50 μM with acceptable reproducibility and repeatability, and limits of detection and quantification of 5.36 and 17.9 μM for Cd2+ ions and 0.76 μM and 2.5 for Pb2+ ions. Studies of addition and recovery in spiked artificial sweat sample were performed, with a recovery of 104.6%. The flexible copper device provides a great opportunity for application in wearable perspiration-based healthcare systems or portable sensors to detect toxic metals in biological samples.
Characterization of Rotavirus Infection in Hospitalized Children under 5 with Acute Gastroenteritis 5 Years after Introducing the Rotavirus Vaccines in South Korea
Authors: Yoon Hye Sun , Sohn Yong-Hak , Chae Jeong Don , Lim Jiseun , Kim Seung Yeon
Published: October 2022

We herein characterized rotavirus infection in hospitalized children under 5 years of age with gastroenteritis after introducing rotavirus vaccines in South Korea from 20 February 2012, to 31 March 2013. Enzyme-linked fluorescent immunoassay was performed to detect rotavirus antigens. G and P genotyping was performed using nested multiplex PCR. For the failed PCR samples, sequencing was conducted. We performed a test-negative case-control study to estimate vaccine effectiveness. Vaccine effectiveness was measured using a multivariate logistic regression model. Rotavirus was detected in 16 (13.2%) of the 121 patients, with a seasonal peak in April 2012. The dominant genotypes detected were G3P[8] (33.3%) and G4P[6] (26.7%), and vaccine effectiveness against rotavirus hospitalization was 84.9% [95% CI: 23.2–97.0] in the complete vaccinated group. A higher prevalence of rotavirus infection was observed among children with siblings than those without siblings (p < 0.001). Also, the presence of siblings was significantly associated with a history of nonvaccination (p < 0.001). In conclusion, the prevalence of rotavirus followed a decreasing trend, and there was no evidence of emergences of nonvaccine-type strains. Vaccine effectiveness against rotavirus hospitalization was 84.9%. Although children with siblings were more susceptible to rotavirus infection, they were less likely to receive vaccination against rotavirus.
Accounting for Intraindividual Profiles in the Wechsler Intelligence Scales Improves the Prediction of School Performance
Authors: Lenhard Alexandra , Daseking Monika
Published: October 2022

IQ scores are often used to predict school performance. However, for children with learning disabilities, the predictive validity of IQ scores appears to be low. In the fourth and fifth versions of the Wechsler Intelligence Scales for Children (WISC), new ancillary indices were introduced. The General Ability Index (GAI) is a broad measure of fluid reasoning with verbal, visual–spatial, and figural test items. By contrast, the Cognitive Proficiency Index (CPI) combines different executive functions known to be frequently affected in children with dyslexia, ADHD, or combined learning disorders. To date, there is little evidence to demonstrate that these measures improve the prediction of school performance beyond the Full-scale IQ (FSIQ). We therefore used lasso regression to explore the predictive validity of these measures for school grades. The analyzed samples were taken from the German standardization samples of the WISC-IV and the WISC-V. In most cases, the prediction of school performance was not considerably improved by taking the GAI or the CPI into account. However, when the individual discrepancy between the CPI and the GAI was high, the FSIQ lost its predictive validity in elementary school. In this subgroup of children, reading and writing skills were best predicted by the CPI, whereas math skills were limited by the lowest score (i.e., the minimum out of the CPI and the GAI).
COVID-19 Co-Infection May Promote Development of Sinusitis Complication in Children
Authors: Szewczyk Anna K. , Mitosek-Szewczyk Krystyna
Published: October 2022

Background: The olfactory dysfunction that occurs during a COVID-19 infection has sparked much debate about its similarity to sinusitis. Up to 65% of COVID-19 pediatric patients may be asymptomatic; however, when symptoms are observed, fever and cough are the most common. Nasal congestion and discharge as well as headaches can also be seen, which makes both entities, i.e., COVID-19 and sinusitis, similar to each other. Methods: In this review, we present the clinical case of a teenager with a history of acute sinusitis and COVID-19 co-infection followed by purulent meningoencephalitis. We aim to summarize available findings on the association between COVID-19, sinusitis, and possible common complications of both diseases. Results: Differentiating between COVID-19 and sinusitis can be confusing because presented symptoms may overlap or mimic each other. Increased risk of complications, especially in patients with bacterial sinusitis co-infected with SARS-CoV-2, should prompt physicians to monitor young patients and inform parents about disturbing symptoms and possible complications. Conclusions: Acute sinusitis and COVID-19 co-infection may lead to numerous complications and should be included among the factors predisposing to worse prognosis. It is especially related to patients with high risk factors and even more important in children as they often pass the infection asymptomatically and its complications can lead to loss of health or life.
Value of Dual-Energy CT Perfusion Analysis in Patients with Acute Pancreatitis: Correlation and Discriminative Diagnostic Accuracy with Varying Disease Severity
Authors: Mahmoudi Scherwin , Martin Simon , Koch Vitali , Gruenewald Leon David , Bernatz Simon , D’Angelo Tommaso , Vogl Thomas J. , Booz Christian , Yel Ibrahim
Published: October 2022

Background: This study investigates the correlation and discriminative diagnostic accuracy of dual-energy CT (DECT)-derived imaging biomarkers in patients with acute pancreatitis of varying severity. Methods: In this retrospective study, we included 51 patients with acute pancreatitis who had undergone portal-venous phase DECT of the abdomen. Three blinded readers independently performed region-of-interest measurements on DECT images in the inflammatory pancreatic parenchyma. The correlation between modified CT severity index (CTSI) and quantitative imaging parameters was investigated using Pearson correlation coefficient. We performed receiver operator curve (ROC) analysis to assess diagnostic accuracy of the quantitative image parameters for the differentiation between mild/moderate versus severe acute pancreatitis. The optimal discriminative cut-off value to diagnose severe acute pancreatitis was determined using the Youden index. Results: Moderate correlations were found between CTSI scores and iodine density (Pearson’s correlation coefficient r = −0.65; p < 0.001), as well as attenuation (r = −0.55; p < 0.001) and normalized iodine uptake (r = −0.50; p < 0.001). ROC curve analysis revealed highest ability to differentiate mild/moderate from severe acute pancreatitis for iodine density (AUC = 0.86, 95% confidence interval 0.75 to 0.97). An optimal iodine density threshold of ≤1.63 mg/mL was found to indicate severe acute pancreatitis with a sensitivity of 81.3% and specificity of 77.1%. Conclusion: DECT-derived iodine density correlates with acute pancreatitis severity and may facilitate prediction of severe acute pancreatitis.
Long-Term Sequalae of Undiagnosed Intrusion of a Primary Tooth
Authors: Bani-Hani Thikrayat , Leith Rona , O’Connell Anne C.
Published: October 2022

Aims: This case demonstrates the adverse sequelae that can follow a traumatic dental injury at a young age. It also highlights the importance of taking a full history and undertaking a thorough exam, independent of the information in the referral. Case presentation: A 9-year-old boy was referred for treatment of “an extra tooth” and “hypoplastic and non-vital” maxillary left permanent incisors. Examination revealed a sinus tract labial to these incisors (21,22) with increased probing depth. However, the teeth were otherwise normal. The child sustained a fall as a baby and lost one of his primary teeth that was never recovered. Information collected suggested the most likely diagnosis was an undiagnosed complete intrusion of a primary incisor, with subsequent hypoplasia and malalignment in the developing teeth. Management included the removal of the intruded primary tooth and monitoring of the hypoplastic permanent incisors until complete eruption and root maturation. Aesthetic restorations were then provided. The patient was referred for orthodontic correction of the malalignment. Conclusion: Misdiagnosis and inappropriate management of dental trauma can cause additional damage. In this case, endodontic therapy in the permanent incisors was avoided by correct diagnosis. Clinicians have to correctly assess and justify their decisions on each individual case.
A Distributed Task Rescheduling Method for UAV Swarms Using Local Task Reordering and Deadlock-Free Task Exchange
Authors: Li Jie , Chen Runfeng , Peng Ting
Published: October 2022

Distributed task scheduling is an ongoing concern in the field of multi-vehicles, especially in recent years; UAV swarm performing complex tasks endows it with new characteristics, such as self-organization, scalability, reconfigurability, etc. This requires the swarm to have distributed rescheduling capability to dynamically include as many unassigned tasks or new tasks as possible, while satisfying tight time constraints. As one of the most advanced rescheduling methods, the Performance Impact (PI)-MaxAss algorithm provides an important reference for this paper. However, its task exchange-based strategy faces the deadlock problem, and the task rescheduling method should not be limited to this. To this end, a new distributed rescheduling method is proposed for UAV swarms, which combines the local task reordering strategy and the improved task exchange strategy. On the one hand, based on the analysis of the fact that the scheduler is unreasonable for individuals, this paper proposes a local task reordering strategy denoted as PI-Reorder, which simply adds the reordering strategy to the recursive inclusion phase of the PI-MinAvg algorithm, so that unassigned tasks or new tasks can be included without relying on the task exchange. On the other hand, from the phenomenon that two or more vehicles occasionally get caught in an infinite cycle of exchanging the same tasks, the deadlock problem of PI-MaxAss is analyzed, which is then solved by introducing a deadlock-free task exchange strategy, where some defined counters are used to detect and isolate the deadlocks. Then, a rescue scenario is used to demonstrate the performance of the proposed methods, PI-Hybrid compared with PI-MaxAss. Monte Carlo simulation results show that, compared with PI-MaxAss, this method can not only increase the number of allocations to varying degrees, but also reduce the average waiting time, while ensuring deadlock avoidance. The methods can be used not only for the secondary optimization of the existing task exchange scheduling algorithms to escape local optima, but also for task reconfiguration of swarm tasks after adding or removing tasks.
Learning Design versus Instructional Design: A Bibliometric Study through Data Visualization Approaches
Authors: Saçak Begüm , Bozkurt Aras , Wagner Ellen
Published: October 2022

The terms instructional design and learning design have been widely used to describe a discipline concerned with improving the process of teaching and learning. However, though both terms are interchangeably used and share a common vision, both terms are used to encompass different aspects of the learning and teaching. In order to better understand the evolution, map intersections and differences of these terms, and identify emerging themes, using text mining and social network analysis approaches, a triangulated bibliometric study was carried out to analyze a total of 514 publications (326 for instructional design and 157 for learning design) indexed in the Scopus database using text mining and social network analysis. Our first round of analysis revealed four broad themes for instructional design: Theory-driven approaches; technology-informed designs; instructional design for higher education; and assessment and evaluation. A second round of analysis for learning design identified four major themes: Design thinking and user experience-driven approaches; online learning informed designs and online environments; analytical approaches for assessment and evaluation; and engagement-based learning design. The study concludes that while instructional design is about developing, assessing, and evaluating instruction, learning design is more about learner engagement and experience, which can be assessed and enhanced by analytical and technological approaches.
Specific Emitter Identification Model Based on Improved BYOL Self-Supervised Learning
Authors: Zhao Dongxing , Yang Junan , Liu Hui , Huang Keju
Published: October 2022

Specific emitter identification (SEI) is extracting the features of the received radio signals and determining the emitter individuals that generate the signals. Although deep learning-based methods have been effectively applied for SEI, their performance declines dramatically with the smaller number of labeled training samples and in the presence of significant noise. To address this issue, we propose an improved Bootstrap Your Own Late (BYOL) self-supervised learning scheme to fully exploit the unlabeled samples, which comprises the pretext task adopting contrastive learning conception and the downstream task. We designed three optimized data augmentation methods for communication signals in the former task to serve the contrastive concept. We built two neural networks, online and target networks, which interact and learn from each other. The proposed scheme demonstrates the generality of handling the small and sufficient sample cases across a wide range from 10 to 400, being labeled in each group. The experiment also shows promising accuracy and robustness where the recognition results increase at 3-8% from 3 to 7 signal-to-noise ratio (SNR). Our scheme can accurately identify the individual emitter in a complicated electromagnetic environment.
An Optoelectronic Detector with High Precision for Compact Grating Encoder Application
Authors: Mu Yusong , Hou Nanjian , Wang Chao , Zhao Yang , Chen Kaixin , Chi Yaodan
Published: October 2022

This paper presents a novel optoelectronic detection array that adopts the research idea of optical, mechanical and electrical integration. Through the design of new detectors and ASIC, the mutual restriction between high accuracy and miniaturization of the grating encoder is solved. A simulation model of the “broken line” detector structure and process was established that only meets the needs of a compact array layout but also ensures a good photoelectric conversion rate. In addition, we used a professional design program to complete the layout of the ASIC, which maximized the recovery of the signal received by the detector. The simulation and noise analysis results show that the SNRs of the output signal are greater than 60 dB with a 400 kHz response frequency.
Analysis of the Possibilities of Reduction of Exhaust Emissions from a Farm Tractor by Retrofitting Exhaust Aftertreatment
Authors: Siedlecki Maciej , Szymlet Natalia , Fuć Paweł , Kurc Beata
Published: October 2022

The paper evaluates particulate matter emissions and exhaust gas components from retrofitted engines of non-road vehicles measured under actual operating conditions. The content is divided into three main parts: formation of guidelines, production of the filter and emission tests. The obtained results clearly indicate excess PM and PN emissions from the engine under actual operating conditions when compared to the limits outlined in the type approval standards. Moreover, it was observed that the actual conditions are reflected to a very small extent at the points included in the stationary homologation test cycle. Based on these observations, the authors decided to modify the stationary test cycle. The measured exhaust gas compositions and their mass flow rates were used to create the geometry of the newly developed filter. The paper contains detailed results of the relative specific exhaust emissions of particulate matter and gaseous components at individual engine operating points. The exhaust emissions analysis made it possible to draw conclusions regarding the operation of the newly designed system. One of them is that fitting a metal-support particulate filter in the exhaust system significantly contributes to reducing the exhaust emissions.
COVID-19-Associated Encephalopathy (COVEP): Basic Aspects of Neuropathology
Authors: Stoyanov George S. , Stoyanov Dimo , Ivanov Martin , Tonchev Anton B. , Popov Hristo , Petkova Lilyana
Published: October 2022

SARS-CoV-2, a member of the betacoronavirus group and causative agent of COVID-19, is a virus affecting multiple systems, not only the respiratory. One of the systems affected by the virus is the central nervous system, with neuropathological studies reporting a wide set of morphological phenomena—neuroinflammation, vascular and blood-brain barrier alterations, neurodegeneration, and accelerated aging, while contradicting data is present on the direct neuroinvasive potential of the virus and active viral replication within neurons. The depicted changes, other than an acute effect (which may contribute to the death of the patient) also have chronic sequelae in the context of post-COVID syndrome cognitive impediments, sleep, and mood disorders. The following chapter describe the basic neuropathological aspects of SARS-CoV-2 as based on the present evidence in scientific literature and propose the term COVEP—COVID-associated encephalopathy—to unite the undisputed effects of the infection on nervous system morphology and function.
Enhancement of Melanogenic Inhibitory Effects of the Leaf Skin Extracts of Aloe barbadensis Miller by the Fermentation Process
Authors: Jeon Gibeom , Ro Hyang-Sun , Kim Gyu-Rae , Lee Hyeon-Yong
Published: October 2022

This work first showed that the skin-lightening effects of the leaf skin extracts of Aloe vera were significantly increased by the fermentation of Lactobacillus plantarum BN41. The fermented extract (BF) showed much higher antioxidant activities of DPPH scavenging effects and the reduction in intracellular ROS production than the water extract (BW), and even higher than Trolox as a positive control. High efficacy of the BF results was shown from the synergistic effects of higher elution of aloesin (2.96 ± 0.09 mg/g vs. 2.03 ± 0.02 mg/g in BF and BW, respectively) and bioactive substances from the fermentation processes. The inhibition of tyrosinase activities and melanin synthesis at 0.3% (w/v) optimal dosage of BF was much better than those of arbutin and aloesin, which are commercial skin-lightening ingredients. It was also first proved that BF effectively down-regulated all microphthalmia-associated transcription factors (MITF), tyrosinase-related protein-1 (TYRP-1) and TYRP-2, and tyrosinase (TYR) gene expression (p < 0.05), proposing melanogenesis inhibitory mechanism in the MITF/TYRP-1/TYRP-2/TYR pathway. However, aloesin and arbutin selectively suppressed the expression of TRYP-1, TRYP-2 or TYR. It was clearly demonstrated that the fermentation process reduces inherent cytotoxicity of aloe, showing much less cell cytotoxicity than BW. Conclusively, 0.3% (w/v) of the BF can be utilized as a competitive and sustainable natural skin-lightening ingredient.
Effect of Potato Starch Hydrogel:Glycerol Monostearate Oleogel Ratio on the Physico-Rheological Properties of Bigels
Authors: Alves Barroso Lívia , Grossi Bovi Karatay Graziele , Dupas Hubinger Miriam
Published: October 2022

Bigel (BG) has been shown to be promising for the food industry due to the possibility to manipulate the properties of the system by adjusting the ratio of each individual phase, namely the hydrogel (H) and oleogel (O) phases. This work aimed to evaluate the influence of the O:H ratio on the physical-rheological properties of BG produced with potato starch (PS) and glycerol monostearate (GM). The hydrogel hardness (i.e., 1423.47 g) directly influenced the viscosity of the BG samples, as BG with a higher H-phase presented the highest viscosity and firmness. All BG samples presented shear-thinning behavior and structural breakdown at ~50 °C. BG with a higher O-phase had superior results for thermal stability, softer texture, and yield stress values, representative of good plasticity and spreadability, as compared to BG with less O-phase. The BG with 80% H-phase was less stable during the 21 days of storage in relation to the other BG samples. This study showed the role that the O:H ratio plays in the development of PS-GM-based BGs with tailor-made physical-rheological properties. In addition, the BG is an easily reproduced system with great potential to be used as a trans and saturated fat substitute in food applications.
Changes in Microeukaryotic Communities in the Grand Canal of China in Response to Floods
Authors: Cai Wei , Li Huiyu , Wen Xin , Huang Huang , Chen Guwang , Cheng Haomiao , Wu Hainan , Piao Zhe
Published: October 2022

Floods are frequent natural disasters and could have serious impacts on aquatic environments. Eukaryotic communities in artificial canals influenced by floods remain largely unexplored. This study investigated the spatiotemporal variabilities among eukaryotes in response to floods in the Grand Canal, China. Generally, 781,078 sequence reads were obtained from 18S rRNA gene sequencing, with 304,721 and 476,357 sequence reads detected before and after flooding, respectively. Sediment samples collected after the floods exhibited a higher degree of richness and biodiversity but lower evenness than those before the floods. The eukaryotic communities changed from Fungi-dominated before floods to Stramenopile-dominated after floods. The spatial turnover of various species was the main contributor to the longitudinal construction of eukaryotes both before the floods (βSIM = 0.7054) and after the floods (βSIM = 0.6858). Some eukaryotic groups responded strongly to floods and might pose unpredictable risks to human health and environmental health. For example, Pezizomycetes, Catenulida, Glomeromycetes, Ellipura, etc. disappeared after the floods. Conversely, Lepocinclis, Synurale, Hibberdiales, Acineta, Diptera, and Rhinosporidium were all frequently detected after the floods, but not prior to the floods. Functional analyses revealed amino acid metabolism, carbohydrate metabolism, translation, and energy metabolism as the main metabolic pathways, predicting great potential for these processes in the Grand Canal.
Understanding the Dynamic Mechanism of Urban Land Use and Population Distribution Evolution from a Microscopic Perspective
Authors: Jin Min , Wang Lizhe , Ge Fudong , Xie Bing
Published: October 2022

With the advancement of urbanization, the contradiction in the man–land relationship becomes more and more difficult to ignore. Investigation of the change in urban land use, population distribution and its mechanism can provide powerful assistance for urban planning. Since the changes in urban land use and population distribution is a complex process with spatial heterogeneity, the current methods for describing them are still lacking in both interpretability and spatial differences. In this paper, we combine the expansion phenomena of urban land use and population distribution with the heat equation to understand the mechanism. The particle swarm optimization (PSO) algorithm is used to identify the diffusion coefficient to obtain the diffusion law in the city’s development. In this way, the diffusion coefficient identified from the data is directly associated with urban changes. The mechanism of changes in urban land use and population distribution can be explained with the diffusion equation and the diffusion coefficient. Our model is first validated on land use and land cover data, followed by further refinement of the spatial differences in the artificial impervious surface data. The experiment’s results imply that by applying the model to the population data, the model’s generalization ability has been significantly improved.
Differential Effects of Human Tau Isoforms to Neuronal Dysfunction and Toxicity in the Drosophila CNS
Authors: Vourkou Ergina , Paspaliaris Vassilis , Bourouliti Anna , Zerva Maria-Christina , Prifti Engie , Papanikolopoulou Katerina , Skoulakis Efthimios M. C.
Published: October 2022

Accumulation of highly post-translationally modified tau proteins is a hallmark of neurodegenerative disorders known as tauopathies, the most common of which is Alzheimer’s disease. Although six tau isoforms are found in the human brain, the majority of animal and cellular tauopathy models utilize a representative single isoform. However, the six human tau isoforms present overlapping but distinct distributions in the brain and are differentially involved in particular tauopathies. These observations support the notion that tau isoforms possess distinct functional properties important for both physiology and pathology. To address this hypothesis, the six human brain tau isoforms were expressed singly in the Drosophila brain and their effects in an established battery of assays measuring neuronal dysfunction, vulnerability to oxidative stress and life span were systematically assessed comparatively. The results reveal isoform-specific effects clearly not attributed to differences in expression levels but correlated with the number of microtubule-binding repeats and the accumulation of a particular isoform in support of the functional differentiation of these tau isoforms. Delineation of isoform-specific effects is essential to understand the apparent differential involvement of each tau isoform in tauopathies and their contribution to neuronal dysfunction and toxicity.
Clinical Characteristics of Youth with Autism or Developmental Disability during Inpatient Psychiatric Admission
Authors: Neuhaus Emily , Osuna Anthony , Tagavi Daina M , Shah-Hosseini Sina , Simmons Shannon , Gerdts Jennifer , Thompson Alysha D
Published: October 2022

Children with autism spectrum disorder and developmental disabilities (ASD/DD) often experience severe co-occurring psychological and behavioral challenges, which can warrant inpatient psychiatric care. However, very little is known about the characteristics and clinical care of children with ASD/DD within the context of inpatient psychiatric settings. In this paper, we describe factors unique to inpatients with ASD or DD, by drawing on electronic health records from over 2300 children and adolescents ages 4–17 years admitted to a pediatric psychiatric inpatient unit over a 3-year period. Patients with ASD/DD accounted for approximately 16% of inpatients and 21% of admissions, were younger, more likely to be readmitted, more likely to be male, and more likely to have Medicaid insurance, as compared to patients without ASD/DD. Clinically, those with ASD/DD more frequently had externalizing concerns documented in their records, in contrast to more frequent internalizing concerns among other patients. Within the ASD/DD group, we identified effects of patient age, sex, and race/ethnicity on multiple dimensions of clinical care, including length of stay, use of physical restraint, and patterns of medication use. Results suggest the need for psychiatric screening tools that are appropriate for ASD/DD populations, and intentional integration of anti-racist practices into inpatient care, particularly with regard to use of physical restraint among youth.
Incidence and Predictors of Cardiac Implantable Electronic Devices Malfunction with Radiotherapy Treatment
Authors: Azraai Meor , Miura Daisuke , Lin Yuan-Hong , Rodrigues Thalys Sampaio , Nadurata Voltaire
Published: October 2022

Aims: To investigate the incidence of cardiac implantable electronic devices (CIED) malfunction with radiotherapy (RT) treatment and assess predictors of CIED malfunction. Methods: A 6-year retrospective analysis of patients who underwent RT with CIED identified through the radiation oncology electronic database. Clinical, RT (cumulative dose, dose per fraction, beam energy, beam energy dose, and anatomical area of RT) and CIED details (type, manufacturer, and device malfunction) were collected from electronic medical records. Results: We identified 441 patients with CIED who underwent RT. CIED encountered a permanent pacemaker (PPM) (78%), cardiac resynchronization therapy—pacing (CRT-P) (2%), an implantable cardioverter defibrillator (ICD) (10%), and a CRT-defibrillator (CRT-D) (10%). The mean cumulative dose of RT was 36 gray (Gy) (IQR 1.8–80 Gy) and the most common beam energy used was photon ≥10 megavolt (MV) with a median dose of 7 MV (IQR 5–18 MV). We further identified 17 patients who had CIED malfunction with RT. This group had a higher cumulative RT dose of 42.5 Gy (20–77 Gy) and a photon dose of 14 MV (12–18 MV). None of the malfunctions resulted in clinical symptoms. Using logistic regression, the predictors of CIED malfunction were photon beam energy use ≥10 MV (OR 5.73; 95% CI, 1.58–10.76), anatomical location of RT above the diaphragm (OR 5.2, 95% CI, 1.82–15.2), and having a CIED from the ICD group (OR 4.6, 95% CI, 0.75–10.2). Conclusion: Clinicians should be aware of predictors of CIED malfunction with RT to ensure the safety of patients.
Radiographic Assessment of Tibiofibular Syndesmosis Injury with Different Durations and Types of Fixation
Authors: Klepacki Krzysztof , Kowal Igor , Konieczny Grzegorz , Tomczyk Łukasz , Miękisiak Grzegorz , Morasiewicz Piotr
Published: October 2022

Introduction: There is no consensus among orthopedic surgeons on the number of cortical layers (tricortical or quadricortical fixation) involved or the duration of syndesmotic fixation after a tibiofibular syndesmosis (TFSD)-injury treatment. The purpose of this study was to assess radiographic parameters following the treatment of TFSD injuries, with various time-windows of syndesmotic screw removal and numbers of cortical layers involved. Materials and Methods: Fifty-five patients, aged from 25 to 75 years, were included in the study. The follow-up period ranged from 2 years to 4 years and 2 months. The patients were subdivided into groups based on the duration of the syndesmotic fixation (8–15 weeks—19 patients or 16–22 weeks—36 patients) and the number of cortices involved (tricortical—17 patients or quadricortical fixation—38 patients). Results: The quadricortical fixation group showed a significant development of ankle joint arthritis and subtalar joint arthritis at the final follow-up. The mean medial clear space was 2.84 mm in the tricortical fixation group and 3.5 mm in the quadricortical fixation group (p = 0.005). Both groups, with different screw removal times showed significant development of posttraumatic arthritis. A comparison of the two groups (with different time-windows of the screw removal) revealed a significant difference only in terms of the postoperative tibiofibular (TF) overlap and the observed rates of talonavicular arthritis at the final follow-up. Discussion: We found that the duration of the screw fixation had no effect on most of the evaluated radiographic parameters. Only the postoperative TF overlap was lower in the 8–15-week fixation group, and the proportion of patients with talonavicular joint arthritis at the final follow-up was higher in the 16–22-week fixation group. In addition, the number of cortices involved in the screw fixation had no effect on the radiographic outcomes in our patients, apart from the differences in one parameter—the medial clear space—at the final follow-up. Conclusion: We achieved similar radiographic results irrespective of the duration of the screw fixation and the number of cortices involved. All study subgroups showed the development of adjacent-joint arthritis following treatment. Considering the results of our study, the economic and medical aspects of treatment, and the possibility of a faster recovery, the most optimal solution seems to be the use of a tricortical fixation, with the screws being removed after 8–15 weeks.
Age-Based Tracks: A Method to Tailor Autism Diagnostic Evaluation in Large-Scale Autism Specialty Centers
Authors: Fox Emily , Gerdts Jennifer , Ahlers Kaitlyn , Kotchick Beth
Published: October 2022

This paper describes a proposed model of diagnostic evaluation for autism spectrum disorder (ASD) at a large-scale ASD specialty center. Our center has implemented age-based diagnostic tracks within an interdisciplinary team evaluation approach to assessing ASD. Data were collected as part of a program evaluation and included responses from provider surveys as well as patient medical record reviews. The results from 803 patients were included. The diagnostic outcomes, time for evaluation, and appropriateness of referral were analyzed in patients referred to the Younger (n = 155) and Older (n = 648) diagnostic tracks. In 92.8% of cases referred to the clinic’s standard team evaluation model, the provider teams were able to make a diagnostic decision within the allotted evaluation time. The results from an additional diagnostic pathway, termed the Autism Psych Team (APT), within the older track were also presented. The intake providers had the option to triage older patients to this pathway when they anticipated that the patient might be diagnostically complex. Most patients (45.1%) triaged to the APT were referred due to psychiatric complexity. In 96% of APT cases, the APT providers felt the patient was an appropriate referral. Overall, these results suggest a method to efficiently triage patients to diagnostic models equipped to serve them within a high-volume ASD center.
Lingering Dynamics of Type 2 Diabetes Mellitus Red Blood Cells in Retinal Arteriolar Bifurcations
Authors: Long Lili , Chen Huimin , He Ying , Mu Lizhong , Luan Yong
Published: October 2022

It has been proven that the deformability of red blood cells (RBC) is reduced owing to changes in mechanical properties, such as diabetes mellitus and hypertension. To probe the effects of RBC morphological and physical parameters on the flow field in bifurcated arterioles, three types of RBC models with various degrees of biconcave shapes were built based on the in vitro experimental data. The dynamic behaviors of the RBCs in shear flow were simulated to validate the feasibility of the finite element-Arbitrary Lagrangian–Eulerian method with a moving mesh. The influences of the shear rate and viscosity ratios on RBC motions were investigated. The motion of RBCs in arteriolar bifurcations was further simulated. Abnormal variations in the morphological and physical parameters of RBCs may lead to diminished tank-tread motion and enhanced tumbling motion in shear flow. Moreover, abnormal RBC variations can result in slower RBC motion at the bifurcation with a longer transmit time and greater flow resistance, which may further cause inadequate local oxygen supply. These findings would provide useful insights into the microvascular complications in diabetes mellitus.
A Blockchain-Based Intrusion Detection System Using Viterbi Algorithm and Indirect Trust for IIoT Systems
Authors: Rathee Geetanjali , Kerrache Chaker Abdelaziz , Ferrag Mohamed Amine
Published: October 2022

The industrial internet of things (IIoT) is considered a new paradigm in the era of wireless communication for performing automatic communication in the network. However, automatic computation and data recognition may invite several security and privacy threats into the system during the sharing of information. There exist several intrusion detection systems (IDS) that have been proposed by several researchers. However, none of them is able to maintain accuracy while identifying the threats and give a high false-positive rate in the network. Further, the existing IDS are not able to recognize the new patterns or anomalies in the network. Therefore, it is necessary to propose a new IDS. The aim of this paper is to propose an IDS using the Viterbi algorithm, indirect trust, and blockchain mechanism for IIoT to ensure the required security levels. The Viterbi algorithm and indirect trust mechanism are used to measure the probability of malicious activities occurring in the network while generating, recording, and shipping products in an IIoT environment. Further, the transparency of the system is maintained by integrating blockchain mechanisms with Viterbi and indirect methods. The proposed framework is validated and analyzed against various security measures by comparing it with the existing approaches.
Planning Compact City in Rapidly Growing Cities—An Estimation of the Effects of New-Type Urbanization Planning in Hangzhou City
Authors: Wang Meng , Krstikj Aleksandra , Liu Huan
Published: October 2022

The Chinese New-type Urbanization (NTU) Plan indicated a major shift in planning towards compact development. This study developed an integrated framework to estimate the effectiveness of planning in promoting compact development in rapidly growing cities. We analyzed the coherence and conformance of planning, as well as the development outcome from a multi-dimensional perspective of compactness. Spatial data of both private and public development projects and big data of POI were employed for analysis in the case of Hangzhou. The findings indicate that land development efficiency and intensive urban functions at the local scale were significantly promoted after NTU planning’s initiation. However, the planning was inefficient in leading a more centralized development at the city scale. This could be attributed to the inability of the planning to resolve conflicts between growth pressure and compact goals, which is reflected in the incoherent control between the master and local plans. The inefficiency is further underlined by the insufficient connection between city-wide and subject plans, as well as the permanent planning of the Urban Development Boundary without specific tools. Particularly, planning performed weaker in controlling public projects due to dual-track planning institution. These conclusions suggest the urgency of enacting a planning system that dynamically links plans of different scales and functions as a crucial element for implementing compact development in rapidly growing areas.
Bacterial Communities Associated with Crude Oil Bioremediation through Composting Approaches with Indigenous Bacterial Isolate
Authors: Mukjang Nilita , Chitov Thararat , Mhuantong Wuttichai , Champreda Verawat , Pathom-aree Wasu , Sattayawat Pachara , Bovonsombut Sakunnee
Published: October 2022

In this study, we aim to investigate the efficiency of crude oil bioremediation through composting and culture-assisted composting. First, forty-eight bacteria were isolated from a crude oil-contaminated soil, and the isolate with the highest crude oil degradation activity, identified as Pseudomonas aeruginosa, was selected. The bioremediation was then investigated and compared between crude oil-contaminated soil (S), the contaminated soil composted with fruit-based waste (SW), and the contaminated soil composted with the same waste with the addition of the selected bacterium (SWB). Both compost-based methods showed high efficiencies of crude oil bioremediation (78.1% and 83.84% for SW and SWB, respectively). However, only a slight difference between the treatments without and with the addition of P. aeruginosa was observed. To make a clear understanding of this point, bacterial communities throughout the 4-week bioremediation period were analyzed. It was found that the community dynamics between both composted treatments were similar, which corresponds with their similar bioremediation efficiencies. Interestingly, Pseudomonas disappeared from the system after one week, which suggests that this genus was not the key degrader or only involved in the early stage of the process. Altogether, our results elaborate that fruit-based composting is an effective approach for crude oil bioremediation.
In Vitro and In Vivo Assessments of Anti-Hyperglycemic Properties of Soybean Residue Fermented with Rhizopus oligosporus and Lactiplantibacillus plantarum
Authors: Hariyanto Istiqomah , Hsieh Chia-Wen , Hsu Yueh-Han , Chen Lih-Geng , Chu ChiShih , Weng Brian Bor-Chun
Published: October 2022

Soy isoflavones possess antioxidative, anti-inflammatory, anti-diabetic and phytoestrogenic properties. Soybean residue contains a fair amount of nutrients such as glycosylated isoflavones, minerals and dietary fibers, and is a substantial waste product produced from soymilk and tofu manufacturing. A solid-state fermentation of soybean residue by Rhizopus oligosporus or co-inoculated with Lactiplantibacillus plantarum improves the availability of isoflavones and GABA content which is attributed to ameliorated hyperglycemic symptoms in STZ-induced hyperglycemic mice. The effortless solid-state fermentation with present microbial manipulation supports an anti-hyperglycemia value-added application of soybean residue for functional food development. Background: Due to an awareness of the food crisis and with a rapidly rising prevalence of diabetes, recycling the substantial fibrous soybean residue disposed from soy industries has received consideration. Methods: Lactiplantibacillus plantarum was previously screened for active glutamate decarboxylase, and β-glucosidase activities were adopted for the fermenting of soybean residue using a traditional tempeh solid-state fermenting process with fungal Rhizopus oligosporus. Fermented soybean residue was chemically analyzed and functionally assessed in in vitro and in vivo hyperglycemic conditions. Results: A 48 h longer solid-state fermentation of the soybean residue co-inoculated with R. oligosporus and L. plantarum showed improved contents of isoflavone aglycones and GABA which were attributed to augmented antioxidative capacity, lowered ROS level, improved blood biochemistry, and better blood glucose homeostasis in STZ-induced hyperglycemic mice. Conclusion: The advantages of a food industrial effortless fermentation process, and a health nutritional endorsing anti-hyperglycemic value-added property offer a practical alternative in recycled soybean residue.
The Effects of Precursors on the Morphology and Chemical Mechanical Polishing Performance of Ceria-Based Abrasives
Authors: Zheng Yuanyuan , Wang Ning , Feng Zongyu , Tan Xianmin , Zhang Zhenyu , Han Huiqing , Huang Xiaowei
Published: October 2022

Ceria-based abrasives are widely used in precision chemical mechanical polishing (CMP) fields, such as thin film transistor liquid crystal display (TFT-LCD) glass substrates and integrated circuits, because of their excellent physicochemical properties. Rare earth carbonates, as precursors of ceria-based abrasives, directly affect the morphology of ceria-based abrasives, which, in turn, affects the material removal rate (MRR) and the surface roughness (Ra) after polishing. Herein, rare earth carbonates with different morphologies were obtained by adjusting reaction parameters during precipitation, including flake, spindle, and spheroid. Moreover, the phase of precursors was analyzed, and the evolution process of morphology from precursors to ceria-based abrasives was investigated. Furthermore, the effect of precursors on the polishing performance of ceria-based abrasives was explored. The results show that the primary particles of ceria-based abrasives are near-spherical, but the morphology and dispersion of the secondary particles are obviously inherited from precursors. Among them, near-spherical ceria-based abrasives prepared by nearly monodisperse near-spherical precursors show better uniformity and higher dispersion, and they not only achieve the lowest Ra but also obtain a higher MRR of 555 nm/min (9 wt.%) for polishing TFT-LCD glass substrates. The result is significant for the further optimization and application of high-performance ceria-based abrasives.
Hydrogen Generation from Mg Wastes by Cold Rolling and Ball Milling by Hydrolysis Reaction: Elektron 21 (UNS-M12310) in Simulated Seawater
Authors: Donadey Guillaume , Caillaud Simon , Coeuret Pierre , Moussa Maria , Cuzacq Laurent , Bobet Jean-Louis
Published: October 2022

Hydrolysis is an efficient way of producing hydrogen by using Mg-based waste. In this study, H2 production is realized in simulated seawater (i.e., 3.5 wt.% NaCl) using the Elektron21 (EL21) alloy as a reagent. This alloy is a magnesium-based alloy composed of 96 wt.% Mg and 4 wt.% rare earth (approx. 3 wt.% Nd and 1 wt.% Gd). EL21 is known for its excellent corrosion resistance and high tensile strength. The impact of different mechanical treatments (ball milling, cold rolling, cryo rolling, and cryo ball milling) on the hydrolysis yield of the material was discussed. A pretreatment with cryo rolling before ball-milling treatment shows the best hydrolysis performance, with a yield of 90.5% achieved in 10 min in salted water. The ductile-to-brittle transition induced a modification of the microstructure, which explains the good hydrolysis performances.