bluuebunny/crossref_metadata_2025_split huggingface dataset:
Annual exposure to PM10 is related to cerebral small vessel disease in general adult population
Authors: Jeong Han-Yeong , Kim Hyun-Jin , Nam Ki-Woong , Jeong Su-Min , Kwon Hyuktae , Park Jin-Ho , Kwon Hyung-Min 
Published: November 2022

AbstractAmbient air pollution is one of the most important global health issues. Although several studies have been reported the associations between air pollution and brain function or structure, impact of the air pollution on cerebral small vessel disease (cSVD) have rarely been explored in Asian adult population. We evaluated the association between exposure to air pollutants and cSVD in Korean asymptomatic adults. This cross-sectional study included 3257 participants of a health screening program from January 2006 to December 2013. All participants performed brain magnetic resonance imaging. To assess the cSVD, we considered three features such as white matter hyperintensities (WMH), silent lacunar infarction (SLI), and cerebral microbleeds (CMBs). The annual average exposure to air pollutants [particulate matter ≤ 10 μm in aerodynamic diameter (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)] was generated. The mean [standard deviation (SD)] age of the total 3257 participants was 56.5 (9.5) years, and 54.0% of them were male. Among all the included participants, 273 (8.4%) had SLI and 135 (4.1%) had CMBs. The mean volume (± SD) of WMH was 2.72 ± 6.57 mL. In result of linear regression analysis, the volume of WMH was associated with various potential factors including age, height, weight, smoking and alcohol consumption status, blood pressure (BP), hypertension, and diabetes mellitus. SLI-positive group, compared to the SLI-negative group, was older, shorter, and had higher BP as well as higher frequency of hypertension and diabetes mellitus. After adjusting for covariates, the annual average concentration of PM10 was significantly associated with the volume of WMH [β (95% CI) for Model 1 = 0.082 (0.038- 0.125), p < 0.001; β (95% CI) for Model 2 = 0.060 (0.013, 0.107), p = 0.013]. CMBs were not associated with the annual average concentration of PM10. No significant associations of NO2, SO2, and CO with cSVD were observed. In conclusion, PM10 exposure is associated with significant increases in brain WMH’ volume and silent lacunar infarcts in asymptomatic adults.
Understanding Mendelian errors in SNP arrays data using a Gochu Asturcelta pig pedigree: genomic alterations, family size and calling errors
Authors: Arias Katherine D. , Álvarez Isabel , Gutiérrez Juan Pablo , Fernandez Iván , Menéndez Juan , Menéndez-Arias Nuria A. , Goyache Félix 
Published: November 2022

AbstractUp to 478 Gochu Asturcelta pig parents-offspring trios (61 different families) were genotyped using the Axiom_PigHDv1 Array to identify the causes of Mendelian errors (ME). Up to 545,364 SNPs were retained. Up to 40,540 SNPs gathering 292,297 allelic mismatches were identified and were overlapped with SINEs and LINEs (Sscrofa genome 11.1). Copy number variations (CNV) were called using PennCNV. ME were classified into eight different classes according to the trio member (“Trio” meaning no assignment) and the allele on which ME was identified: TrioA/B, FatherA/B, MotherA/B, OffspringA/B. Most ME occurred due to systematic causes: (a) those assigned to the Father, Mother or Offspring occurred by null or partial null alleles characterized by heterozygote deficiency, varied with family size, involved a low number of loci (6506), and gathered most mismatches (228,145); (b) TrioB errors varied with family size, covaried with SINEs, LINEs and CNV, and involved most ME loci (33,483) and mismatches (65,682); and (c) TrioA errors were non-systematic ME with no sampling bias involving 1.2% of mismatches only and a low number of loci (1939). The influence of TrioB errors on the overall genotyping quality may be low and, since CNV vary among populations, their removal should be considered in each particular dataset. ME assignable to the Father, Mother or Offspring may be consistent within technological platforms and may bias severely linkage or association studies. Most ME caused by null or partial null alleles can be removed using heterozygote deficiency without affecting the size of the datasets.
Sparse identification for model predictive control to support long‐term voltage stability
Authors: Tran Minh‐Quan , Tran Trung Thai , Nguyen Phuong H. , Pemen Guus 
Published: November 2022

AbstractAlong with the increased installation of distributed energy resources (DER), long‐term voltage stability can be improved if proper coordination is developed between DERs and grid controllers, for example, Load Tap Changer (LTC). In most of the proposed methods, the steady‐state voltage‐sensitivity analysis has been implemented to predict the voltage state, which is the state's dynamic evolution in abnormal operations of the grid with high shares of DERs. This paper presents a system identification‐based model predictive control (MPC), which can coordinate DERs and LTC to restore the voltage to the pre‐fault condition after emergencies. First, the online voltage evolution is predicted based on the sparse identification of the nonlinear dynamics (SINDY) technique. Then, the SINDY‐based voltage prediction is combined with an adaptive MPC in the centralized controller. In addition, the nonlinear of DERs have been modeled to avoid the MPC‐based coordination jeopardizing the local constraints of DERs. The proposed method has been tested in a modified CIGRE benchmark network. Simulation results show that the dynamic voltage is effectively estimated by the SINDY method. Furthermore, the developed MPC model smoothly supports faster voltage recovering time with the least number of control actions of LTCs.
HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning
Authors: Peng Yanfei , Tan Guozhen , Si Huaiwei 
Published: November 2022

AbstractGenerative adversarial imitation learning (GAIL) has shown good results in several research areas by taking advantage of generative adversarial networks. However, GAIL lacks a reward mechanism and usually adopts a model‐free approach based on stochastic policies, which is not ideal for solving complex, dynamically uncertain population intelligence problems, especially in the face of autonomous driving environments. In this paper, a policy framework is shaped by combining the human knowledge with GAIL (HKGAIL). HKGAIL embeds human decision models into the learning process to infer the underlying structure of expert demonstrations. The skills learned from expert demonstrations can directly guide the actions (policies) of the learning process of the agents, and the policies can be optimized through the feedback function of the discriminator. Experiments on both driving and landing tasks show that HKGAIL was able to better fit the policy close to the expert, and was 16.2% safer than GAIL for the driving task.
Electrophoretic deposited gold nanoparticle thin film on silver substrate
Authors: Hosseingholilou Samira , Dorranian Davoud 
Published: November 2022

AbstractEffects of the deposition time and voltage on the characteristics of gold nanoparticles (NPs) thin films, prepared by the electrophoretic deposition (EPD) method on the silver substrate, were investigated experimentally. Au NPs were synthesised using the pulsed laser ablation method in distilled water. The suspended solution of the gold NPs was used as the electrolyte of EPD. An irradiation was carried out by the fundamental wavelength of a Q‐switched NdYAG laser at 1064 nm and 7 ns pulse width. The electrophoretic deposition apparatus consisted of two 2 × 2 cm pieces of silver plates as the electrodes. They were immersed in parallel with a 7 mm gap in the gold NP suspension. Five samples of gold NP thin films were prepared at different deposition times and applied voltages. Results show that the roughness, thickness and surface quality of EPD prepared thin films can be strongly controlled by the deposition time and applied voltage. The thickness of deposited films was dependent on the voltage of deposition in which their roughness was increased with increasing the deposition time. Furthermore, the reflection of deposited films was affected by the surface roughness.
Defining the speed independence of the Boolean asynchronous systems
Authors: Vlad Serban E. 
Published: November 2022

A discrete time Boolean asynchronous system consists in a function Φ : {0, 1}n→ {0, 1}nwhich iterates its coordinates Φ1, ..., Φnindependently of each other. The durations of computation of Φ1, ..., Φnare supposed to be unknown. The analysis of such systems has as main challenge characterizing their dynamics in conditions of uncertainty. For this, a very cited classical paper is [1], where the fundamental concept of speed independence is introduced. The point is, like in most of these cases, that the engineers receive from such a work intuition, combined with a certain lack of rigor. Our aim is to try a mathematical reinforcement of the Muller’s theory of the asynchronous circuits, which should be a modest homage, over time, to its authors.A list of models used in asynchronous systems theory is given in [3]. The mathematical tools used in this analysis may be found in [2].
Ethische Abwägungen und Rückfragen zu
Xenotransplantationen
Authors: Kreß Hartmut 
Published: November 2022

ZusammenfassungXenotransplantationen sind im Licht einschlägiger medizinethischer und
-rechtlicher Kriterien sowie unter dem Vorzeichen der
Handlungsfolgenverantwortung zu erörtern. Problematisch ist, dass sie
mit Leitideen des Tierschutzes kollidieren. Andererseits ist das Anrecht von
Patient:innen auf eine dem wissenschaftlichen Stand gemäße
gesundheitliche Versorgung zu betonen. Falls die biologischen Risiken von
Xenotransplantationen beherrschbar werden sollten, könnten sie zu einem
Verfahren werden, das den Organmangel überbrückungsweise
lindert. Langfristig werden voraussichtlich andere Handlungsansätze den
Vorzug verdienen.
Lactate Clearance as an Early Prognostic Marker of Mortality for
Pediatric Trauma
Authors: Çeleğen Mehmet , Çeleğen Kübra 
Published: November 2022

AbstractBackground While lactate clearance (LC) has already been shown as a
prognostic indicator in clinical studies, its certain character needs to be
defined in pediatric trauma. This research aimed to evaluate the correlation
between early lactate clearance and mortality in pediatric trauma.Patients and
methods A retrospective cohort study was conducted in a university
hospital. Repeated LC was measured at admission, at the 2nd, 6th, and 12th hours
post-admission. The association of lactate clearance with mortality was analyzed
and using receiver operating characteristic (ROC) to determine the threshold
levels of lactate clearance and also logistic regression analysis was performed
to determine whether LC was an independent risk
factor.Results Seventy-eight patients were included and overall
mortality was 13%. LC values of the non-survivors was significantly
lower than survivors for LC0–2 h (28.60±14.26 vs
4.64±15.90), LC0–6 h (46.63±15.23 vs
3.33±18.07), LC0–12 h (56.97±15.53 vs
4.82±22.59) (p:<0.001, p:<0.001 and p:<0.001,
respectively). Areas under the curve of lactate clearance at the 2nd, 6th, and
12th hours after therapy start were a significant predictor for mortality
(p:<0.001, p:<0.001, and p:<0.001, respectively).
Threshold values of LC were 12.9, 19.5 and 29.3%,
respectively.Conclusion Lactate clearance was a beneficial tool to
estimate outcomes of pediatric trauma. Poor lactate clearance was a significant
marker for poor prognosis.
Ein Standard für Gemeindepsychiatrische Zentren in
Niedersachsen – Checkliste und Modelltreueskala
Authors: Wienberg Günther , Ostermann Jochen , Piel Ansgar , Bramesfeld Anke , Myszor Franziska , Steinhart Ingmar 
Published: November 2022

Zusammenfassung
Ziel der Studie Definition eines Standards für Strukturen und
Prozesse von Gemeindepsychiatrischen Zentren (GPZ), die eine ambulante und
mobile multiprofessionelle Komplex- und Intensivversorgung für Menschen
mit schweren psychischen Erkrankungen sicherstellen sollen.
Methodik Der Standard wurde unter fortlaufender Beteiligung aller
relevanten Stakeholder, darunter Akteurinnen/Akteure von drei
niedersächsischen GPZ-Modellprojekten sowie Expertinnen/Experten
aus Erfahrung, entwickelt und konsentiert.
Ergebnisse Der Standard umfasst eine Checkliste mit 12 binären und
obligatorischen GPZ-Merkmalen sowie eine Modelltreue-Skala mit 45 skalierten
Items in 9 Dimensionen.
Schlussfolgerungen Mit dem GPZ-Standard liegt erstmals ein an der
S3-Leitlinie „Psychosoziale Therapien“ orientierter
quantifizier- und überprüfbarer Merkmalskatalog für GPZ
vor.
Bevacizumab in combination with octreotide rescues a patient with liver cirrhosis, GAVE syndrome and refractory hemorrhage – a case report
Authors: Gairing Simon Johannes , Schleicher Eva Maria , Müller Lukas , Labenz Christian , Darstein Felix , Grimm Daniel , Sivanathan Visvakanth , Weinmann Arndt , Wörns Marcus-Alexander , Kloeckner Roman , Pitton Michael B. , Thieringer Florian , Rahman Khan Fareed , Galle Peter Robert , Schattenberg Jörn M. , Foerster Friedrich 
Published: November 2022

AbstractGastric antral vascular ectasia (GAVE) syndrome is a rare but often challenging etiology
of upper gastrointestinal bleeding (UGIB).We report on a 60-year-old patient with liver cirrhosis, GAVE syndrome and recurrent and
refractory GAVE-related UGIB. During a 5-month hospital stay, the patient required a total of
82 packed red blood cells (pRBCs) and 23 gastroscopies. All endoscopic approaches, including
multiple argon plasma coagulation and band ligation sessions, remained unsuccessful.
Antrectomy was waived because of the high perioperative mortality risk in Child-Pugh B liver
cirrhosis. TIPS insertion also failed to control the bleeding. Only continuous intravenous
octreotide infusion slowed the bleeding, but this forced the patient to be hospitalized. After
144 inpatient days, administration of subcutaneous octreotide allowed the patient to be
discharged. However, the patient continued to require two pRBCs every 2–3 weeks. Based on
recently published data, we treated the patient with bevacizumab (anti-VEGF antibody)
off-label at a dose of 7.5 mg/kg body weight every three weeks in nine single doses over six
months. Since the first administration, the patient has remained transfusion-free, has not
required hospitalization, and leads an active life, working full-time. He remains on
octreotide, which has been reduced but not yet discontinued. Additionally, no adverse events
were observed.Thus, in patients with liver cirrhosis and refractory GAVE-related hemorrhage, bevacizumab
combined with subcutaneous octreotide should be considered as an effective and durable
pharmacological treatment option.
The evaluation of cochlear implant users’ acoustic change detection ability
Authors: Saraç Kaya Eylem , Türkyılmaz Meral Didem , Yaralı Mehmet 
Published: November 2022

Objectives
This study aimed to evaluate the relationship between behaviourally acquired Acoustic Change Detection Test (ACDT) responses and electrophysiologically obtained Acoustic Change Complex (ACC) responses in participants with Cochlear Implant (CI).

Methods
28 unilateral adult CI users (mean age 41) participated in the study. In behavioural test session, ACDT and speech tests were administered. In electrophysiological test session, sound onset and ACC responses of participants stimulated by/ui/speech structure were recorded and N1–P2 peak-to-peak amplitude and N1 latencies were determined.

Results
No significant correlation was found between individuals’ behavioural and electrophysiological responses but it was observed that individuals dived into two clusters in terms of ACDT responses (p < 0.05). A statistically significant difference was found between the mean ACC amplitudes of the clusters. No statistically significant difference was observed between the mean ACC N1 latency findings of the clusters, suggesting that ACC amplitude may be a better predictor than latency in auditory discrimination.

Conclusion
ACC measurement may be a potential clinical tool to evaluate auditory discrimination performance in individuals with CI, but using the electrophysiological and behavioural tests together may provide a more holistic perspective.
Enhancement of H2S sensing performance of rGO decorated CuO thin films: experimental and DFT studies
Authors: Kumar Sumit , Chaurasiya Rajneesh , Khan Mustaque A , Meng Gang , Chen Jen-Sue , Kumar Mahesh 
Published: November 2022

Abstract
We demonstrate a highly selective and sensitive Cupric oxide (CuO) thin film-based low concentration Hydrogen sulfide (H2S) sensor. The sensitivity was improved around three times by decorating with reduced graphene oxide (rGO) nanosheets. CuO thin films were deposited by Chemical Vapor Deposition followed by inter-digital electrode fabrication by a thermal evaporations system. The crystal structure of CuO was confirmed by x-ray diffraction. The sensing response of pristine CuO was found around 54% at 100 °C to 100 ppm of H2S. In contrast, the sensing response was enhanced to 167% by decorating with rGO of 1.5 mg ml−1 concentration solution. The sensing was improved due to the formation of heterojunctions between the rGO and CuO. The developed sensor was examined under various gas environments and found to be highly selective towards H2S gas. The improvement in sensing response has been attributed to increased hole concentration in CuO in the presence of rGO due to the Fermi level alignment and increased absorption of H2S molecules at the rGO/CuO heterojunction. Further, electronic structure calculations show the physisorption behavior of H2S molecules on the different adsorption sites. Detailed insight into the gas sensing mechanism is discussed based on experimental results and electronic structure calculations.
Low-pass U-Net: a segmentation method to improve strip steel defect detection
Authors: Liu Bo , Yang Bin , Zhao Yelong , Li Jianqiang 
Published: November 2022

Abstract
The detection of strip steel surface defects is critical to ensuring the quality of strip steel products. Many deep learning-based methods have been presented and can achieve outstanding performance. However, most of these methods ignore the frequency information among defect areas, which plays an important role in defect detection. This paper proposes a deep learning method to further improve defect segmentation effects based on existing methods, called low-pass U-Net. Since most defects in strip steel are located in high-frequency areas, we implement a low-pass filter before downsampling in the encoder, which prevents aliasing and separates out high-frequency information. The high-frequency feature is transferred into the decoder to assist segmentation. Following previous studies, we propose an adaptive variance Gaussian low-pass layer to generate different filters according to each spatial location of the feature map, with lower computing resource use. Furthermore, to detect defects at significantly different scales, an improved Hypercolumn module is adopted at the end of the decoder to upsample and fuse the feature maps in different resolutions, where Subpixel replaces the bilinear interpolation to refine the upsampled results. The proposed method is validated on practical datasets and achieves considerable performance improvement (with a best Dice coefficient of 0.903), which demonstrates the effectiveness of low-pass U-Net. The introduction of the adaptive variance Gaussian low-pass filter layer results in a 3% increase in Dice coefficient in a comparative inference time, which achieves a balance in performance, inference time and complexity.
Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images
Authors: Quintero Paulo , Benoit David , Cheng Yongqiang , Moore Craig , Beavis Andrew 
Published: November 2022

Abstract
Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on calculated modulation complexity metrics because of their direct relation to dose deliverability. Nevertheless, these metrics might not comprehensively represent the modulation complexity, and automatically extracted features from alternative predictors associated with modulation complexity are needed. For this reason, three convolutional neural networks (CNN) based models were trained to predict GPR values (regression and classification), using respectively three predictors: (1) the modulation maps (MM) from the multi-leaf collimator, (2) the relative monitor units per control point profile (MUcp), and (3) the composite dose image (CDI) used for portal dosimetry, from 1024 anonymized prostate plans. The models’ performance was assessed for classification and regression by the area under the receiver operator characteristic curve (AUC_ROC) and Spearman’s correlation coefficient (r). Finally, four hybrid models were designed using all possible combinations of the three predictors. The prediction performance for the CNN-models using single predictors (MM, MUcp, and CDI) were AUC_ROC = 0.84 ± 0.03, 0.77 ± 0.07, 0.75 ± 0.04, and r = 0.6, 0.5, 0.7. Contrastingly, the hybrid models (MM + MUcp, MM + CDI, MUcp+CDI, MM + MUcp+CDI) performance were AUC_ROC = 0.94 ± 0.03, 0.85 ± 0.06, 0.89 ± 0.06, 0.91 ± 0.03, and r = 0.7, 0.5, 0.6, 0.7. The MP, MUcp, and CDI are suitable predictors for dose deliverability models implementing ML methods. Additionally, hybrid models are susceptible to improving their prediction performance, including two or more input predictors.
3D Mapping and Positioning Technology of Lunar Environment Based on LiDAR
Authors: Du Shi Biao , Zhao Xin , Fu Hong Yong 
Published: November 2022

Abstract
-Using intelligent guidance system for lunar sample collection, Simultaneous lunar environment 3D mapping and localization technology (SLAM) is a key problem to be solved urgently. The lunar illumination changes dramatically and the terrain is complex. And limited computing power of the intelligent guidance system on the moon will affect the positioning accuracy of the algorithm. In view of the low positioning accuracy of LiDAR in the current lunar environment. This paper use an algorithm with higher positioning accuracy, which integrates the front-end feature extraction algorithm, the back-end optimization algorithm based on factor graph and the Scan Context loop closure detection algorithm. The simulation platform of lunar environment is built by Airsim to test the algorithm, and the robustness and accuracy of the algorithm are verified.
Research on optimization of wave glider wing plate
Authors: Wang Ganlin , Zhu Liucun , Wan Hong , Wang Jiyue , Deng Haofeng , He Congwei 
Published: November 2022

Abstract
In this study, a new wing plate was designed for the wave glider. The wing plate A and the wing plate C made of NACA0012 were extracted from the adult green sea turtle in the Pacific Ocean, and a new wing plate B was optimized by optimizing the design of the two, and set the control. Group wings D. In order to improve the utilization rate of wave energy of the wave glider, the hydrodynamic performance of the wave glider wing was studied. At the installation angle of 0-90°, the thrust FX in the forward direction of the four types of wings is simulated and calculated. The results show that at the angle of attack of 6° and 9°, the incoming flow velocity is 0.5m/s, 1m/s, 1.5 At m/s, the hydrodynamic performance of the wing plate increases with the increase of the installation angle. The hydrodynamic performance of the four kinds of wing plates is from good to bad: B-foil, A-foil, C-foil and D-foil. The research results help to understand the hydrodynamic performance of the wing plate, and provide a research basis for improving the wave energy utilization rate of the wave glider.