bluuebunny/crossref_metadata_2025_split huggingface dataset:
The High Efficiency fast-Response GAmma (HERGA) detector based on SiPM readout
Authors: Altomare C. , Cerasole D. , Di Venere L. , Fanchini E. , Gargano F. , Giordano F. , Loparco F. , Loporchio S. , Mastroserio A. , Morichi M. , Pantaleo F.R. , Serini D. , Spinelli P. , Swiderski L. 
Published: November 2023

Gamma-ray spectroscopy and gamma-ray imaging are two complementary techniques used for the localization and the identification of radioactive sources containing gamma-ray emitting radioisotopes. The radioactivity monitoring is focused on the detection of both artificial and environmental radioactive sources like Naturally Occurring Radioactive Materials (NORM). This kind of contamination becomes dangerous when the detection of the unwanted substances exhibits a concentration significantly above the environmental radioactive background radiation levels. For this purpose, we have developed, tested and shown a High Efficiency fast-Response GAmma (HERGA) detector useful for the identification of radionuclides and for gamma-ray imaging. A first version of the gamma detector prototype was composed of 16 CsI(Tl) scintillating crystals of 3x3x10 cm3 size, arranged in 4x4 matrix coupled with standard Photomultiplier tubes (PMTs). An image reconstruction of a radioactive gamma emitter source is possible using the coded mask technique, in which a 7x7 mask, made of Plastic and Tungsten tiles, is placed in front of the detector and a pattern recognition algorithm based on classical statistical methods (Kolmogorov Smirnov) is used to reconstruct the source position. The measurements carried out showed a point spread function (PSF) of a few mrad for pointlike sources. The Minimum Detectable Activity (MDA) was also determined in the case of pointlike radioactive sources. In this contribution we will present an update of the HERGA detector prototype in which Silicon Photomultipliers (SiPMs) are used in place of the PMTs. SiPMs provide similar or even better performance compared to the standard PMT sand provide benefits in terms of lower power consumption and reduced cost and compactness. The advantages of the SiPM technology are also characterized by the robustness of the photosensor that makes the new prototype compact, portable, ideal for in-situ and real-time. We will show a comparison between the results obtained with the newest SiPM read-out technology with respect to those obtained with the PMT one, in terms of energy and spatial resolution. The imaging performance is also in phase of testing in order to localize extended radioactive sources such as for example
NORM samples or to detect inaccessible or hidden nuclear waste.
Sulfur-Mediated ipso-Cyclization of 4-(p-Methoxyaryl)alk-1-ynes Leading to 3-Thiospiro[4.5]deca-1,6,9-trien-8-ones
Authors: Li Pingfan , Han Meng 
Published: November 2023

AbstractA new method for the intramolecular electrophilic ipso-cyclization of alkynes with triflic anhydride-activated sulfoxides, followed by demethylation with triethylamine in one pot, is described for the synthesis of 3-thiospiro[4.5]-decatrienones in moderate to good yields. This method provides a facile strategy for assembling the sulfur-substituted spirocyclic compounds.
Radial Midcarpal Instability Treated with Radioscaphocapitate Ligament Recession: A Case Report
Authors: Chin-Yi Liao Janice , Meng Kiat Tan David 
Published: November 2023

Abstract
Background Midcarpal instability is an uncommon entity characterized by pain and clunking as the wrist moves from radial deviation to ulnar deviation. Management is primarily nonoperative. In patients with persistent symptoms, operative treatments are divided into soft tissue reconstruction and limited midcarpal arthrodesis.
Case Description We present a rare case of radial midcarpal instability associated with radioscaphocapitate (RSC) ligament injury. A 20-year-old man presented with radial-sided wrist pain and clunking with radial deviation after a fall. Wrist arthroscopy confirmed the pathology of an RSC ligament injury resulting in an extended posture of the scaphoid and a catch-up clunk from sudden flexion of the scaphoid in radial deviation. His RSC ligament was recessed and he had excellent outcome at 1 year follow-up.
Literature Review Midcarpal instability was reported by Lichtman et al as a painful wrist click in ulnar deviation and classified according to the direction of the subluxation. Radial midcarpal instability was later described by Caputo et al in patients with rotatory subluxation of the scaphoid. We present a previously unreported form of radial midcarpal instability as it does not quite fit into the type III midcarpal instability with ligament laxity of the scaphotrapeziotrapezoid joint and type IV with scapholunate ligament disruption. The painful wrist click occurs in radial deviation as the result of an RSC ligament injury.
Clinical Relevance We performed arthroscopic thermal capsulorrhaphy of the ulnar arcuate ligaments and dorsal capsule and an open proximal recession of the RSC ligament. The elimination of pain and clunking accompanied by the restoration of scaphoid flexion and return to load-bearing activities validates the pathology and suggests the potential of this soft tissue procedure in the treatment of radial midcarpal instability.
Understanding and Addressing the Individualized Emotional Impact of Aphasia: A Framework for Speech-Language Pathologists
Authors: Harmon Tyson G. 
Published: November 2023

AbstractEmotion plays an integral role in communication and has long been considered relevant to aphasia rehabilitation. Speech-language pathologists (SLPs), however, may sometimes wonder how or whether to address emotional responses. The purpose of this article was to (1) present a framework that clinicians can use to understand individualized emotional responses in aphasia and (2) discuss examples of how the framework informs practical strategies that SLPs can use to provide emotional support to people with aphasia (PWA). Drawing upon a cognitive–motivational–relational theory of emotions perspective combined with emerging research in aphasia, I show that emotion impacts and is impacted by both language processing and social participation, but this impact should be interpreted in light of individual variability. Personal characteristics, environmental conditions, and cognitive appraisal, considered within a specific cultural context, help account for individualized emotional responses. SLPs should consider interactions among emotional response, language processing, and social participation in aphasia while recognizing each person's unique perception of the situation and resources to cope with it. Additionally, the presented framework provides insights about how SLPs could offer emotional support to PWA. Specific examples related to harnessing situational demands to improve communication, employing active listening, facilitating reappraisal, and strengthening social support are discussed.
Association between Sleep Quality and Cardiac Autonomic Modulation in Adolescents: A Cross Sectional Study
Authors: Lins-Filho Ozeas de Lima , Andrade-Lima Aluisio , Torres Auguste Daniel , Oliveira Luciano Machado , Luiz do-Prado Wagner , Ritti-Dias Raphael , Christofaro Diego Giulliano Destro , Farah Breno Quintella 
Published: November 2023

Abstract
Objective To analyze the impact of sleep quality/duration on cardiac autonomic modulation on physically active adolescents with obesity.
Materials and Methods The present cross-sectional study included 1,150 boys with a mean age of 16.6 ± 1.2 years. The assessment of cardiac functions included the frequency domain of heart rate variability (HRV; low frequency – LF; high frequency – HF; and the ratio between these bands –LF/HF –, defined as the sympathovagal balance), and each parameter was categorized as low/high. Physical activity levels and sleep quality/duration were obtained by questionnaires. Abdominal obesity was assessed and defined as waist circumference > 80th percentile.
Results Poor sleep quality resulted in lower HF (odds ratio [OR]: 1.8; 95% confidence interval [95%CI]: 1.01–3.21]) regardless of physical activity and abdominal obesity. Moreover, the study found no association between sleep duration and HRV parameters in adolescents.
Conclusion Sleep quality, not sleep duration, reduces parasympathetic cardiac modulation apart from other factors such as physical activity and abdominal obesity in adolescents.
Performance of the NOSE Questionnaire in Mask Selection for Home CPAP Titration
Authors: Blanco Magalí , Ernst Glenda , Rabino Alberto , Salvado Alejandro , Borsini Eduardo Enrique 
Published: November 2023

Abstract
Introduction Many patients abandon CPAP treatment because they find the mask uncomfortable. Therefore, specialists may benefit from the predictive value of airway assessment tools.
Objective To identify nasal ventilation failure through the Nasal Obstruction Symptom Evaluation (NOSE) scale in patients with obstructive sleep apnea (OSA) who undergo home-based auto-adjusting CPAP titration and to determine whether there is a correlation between NOSE score and the type of mask selected.
Materials and Methods In this prospective correlational study, the NOSE scale was used in terms of mask selection and titration indicators. Patients were classified based on their NOSE score: > or < 50.
Results We included 303 patients; 226 men (74.5%), BMI: 33.2 ± 6.1 kg/m2, neck circumference (cm): 42.8 ± 3.6 and Epworth (ESS) score: 9.2 ± 5.6, mild OSA: 12 (3.9%), moderate OSA: 127 (41.9%), and severe OSA: 164 (54.1%). The mean NOSE score was 24.3 ± 22.8 and 42 patients (13.8%) had NOSE scores > 50. Indicators for both groups were: compliance (5.9 ± 1.3 vs. 5.8 ± 1.4 hours) p: 0.41, therapeutic pressure (9.1 ± 2.0 vs. 8.8 ± 1.6 cm of H2O) p: 0.23, residual AHI (2.3 ± 1.8 vs. 2.8 ± 2.6 events/hour) p: 0.25, and leaks (20.5 ± 10.6 vs. 21.3 ± 10.7 liters/minute) p: 0.64. According to adjusted multiple regression, a NOSE of > 50 was not a predictor of mask selection.
Conclusions A > 50 NOSE score was not a predictor of mask selection, and it was not correlated to titration performance.
Clinical Application of the Multicomponent Grading System for Sleep Apnea Classification and Incident Cardiovascular Mortality
Authors: Jorquera Jorge , Dreyse Jorge , Salas Constanza , Letelier Francisca , Weissglas Bunio , Del-Río Javiera , Henríquez-Beltrán Mario , Labarca Gonzalo , Jorquera-Díaz Jorge 
Published: November 2023

Abstract
Objective To evaluate the clinical utility of the Baveno classification in predicting incident cardiovascular mortality after five years of follow-up in a clinic-based cohort of patients with obstructive sleep apnea (OSA).
Materials and Methods We evaluated the reproducibility of the Baveno classification using data from the Santiago Obstructive Sleep Apnea (SantOSA) study. The groups were labeled Baveno A (minor symptoms and comorbidities), B (severe symptoms and minor comorbidities), C (minor symptoms and severe comorbidities), and D (severe symptoms and comorbidities). Within-group comparisons were performed using analysis of variance (ANOVA) and post hoc tests. The associations between groups and incident cardiovascular mortality were determined through the Mantel-Cox and Cox proportional hazard ratios (HRs) adjusted by covariables.
Results A total of 1,300 OSA patients were included (Baveno A: 27.7%; B: 28%; C: 16.8%; and D: 27.5%). The follow-up was of 5.4 years. Compared to Baveno A, the fully-adjusted risk of cardiovascular mortality with Baveno B presented an HR of 1.38 (95% confidence interval [95%CI]: 0.14–13.5; p = 0.78); with Baveno C, it was of 1.71 (95%CI: 0.18–16.2; p = 0.63); and, with Baveno D, of 1.04 (95%CI: 0.12–9.2; p = 0.98). We found no interactions involving Baveno group, sex and OSA severity.
Discussion Among OSA patients, the Baveno classification can describe different subgroups. However, its utility in identifying incident cardiovascular mortality is unclear. Long-term follow-up studies and the inclusion of demographic variables in the classification could improve its ability to detect a high-risk phenotype associated with cardiovascular mortality.
Conclusion The Baveno classification serves as a valuable method for categorizing varying groups of patients afflicted with OSA. Nevertheless, its precision in identifying occurrence of cardiovascular mortality is still unclear.
Considerations in Forehead Reduction for Men
Authors: Núñez-Castañeda José Miguel , Chang-Grozo Silvana Lucia 
Published: November 2023

AbstractAlthough frontal prominence is an infrequent benign defect that causes no sequelae, it gives the patient distress due to its unaesthetic visual aspect. Proper surgical recontouring of the forehead can radically change one's appearance. In consequence, different techniques have been proposed for its management and correction. The aim of this study is to describe a surgical algorithm to treat male patients with forehead reduction to soften the “forceful” look. An observational cross-sectional study was conducted at the head and neck surgery ward of a general hospital between 2019 and 2022. We performed 35 forehead reduction operations on male patients. The median age was 29 years (range, 26–32 years). The forehead reduction procedures performed was categorized as follows: 27 anterior table osteotomy and 8 anterior table osteotomy contouring. Median forehead reduction was 2.7 mm (range, 2–3.2 mm). The average medical follow-up for patients was 6 months, with an interval ranging from 4 to 8 months. Surgery of the forehead in properly selected male patients is sufficiently safe that it can be done for entirely aesthetic reasons. The choice of surgical technique depends on the presence or absence of the pneumatized frontal sinus. If the frontal sinus is not pneumatized, an anterior table contouring is performed and if the frontal sinus is pneumatized, an anterior table osteotomy is preferred.
Vietnamese online media leaders’ and citizens’ perspectives on Vietnam-US relations
Authors: Nguyễn Anh Cường 
Published: November 2023

AbstractAfter more than 26 years since the normalization of Vietnam-US relations, cooperation in all fields, including the most sensitive ones, such as military, security, and politics, has significantly advanced. Moreover, the political beliefs of the people and governments of the two nations have at least partially converged. Therefore, it is time for Vietnam to consider the United States’ proposal to elevate their relationship from a comprehensive partnership (2013) to a strategic one. Using qualitative and quantitative methodologies through content analysis, we first focus on particular areas of cooperation between the two countries, especially in development, and clarify the policies and desires to deepen collaboration and relations from both sides. The paper then evaluates Vietnamese public opinion regarding Vietnam-US relations by analyzing online articles in Vietnam. However, it is noteworthy that the announcement made on September 10, 2023, by the respective top leaders of the United States, President Joe Biden, and the Communist Party of Vietnam, General Secretary Nguyen Phu Trong, regarding the elevation of Vietnam-US relations to the utmost level of comprehensive strategic partnership, bypassing the intermediate stage of a strategic partner, has indeed surpassed the anticipations of the Vietnamese populace. Contrarily, this phenomenon can be considered commonplace when examining the escalating dynamics of support from political leaders and the general populace toward Vietnam-US relations.
Analysis of data for γp → f
1(1285)p photoproduction*
Authors: Wang 王 Ai-Chao 爱超 , Wei 韦 Neng-Chang 能昌 , Huang 黄 Fei 飞 
Published: November 2023

Abstract
The photoproduction of the

meson off the proton target is investigated within an effective Lagrangian approach. The t-channel ρ- and ω-exchange diagrams, u-channel nucleon-exchange diagram, generalized contact term, and s-channel pole diagrams of the nucleon and a minimal number of nucleon resonances are taken into account in constructing the reaction amplitudes to describe the experimental data. Three different models, that is, the Feynman, Regge, and interpolated Regge models, are employed, where the t-channel reaction amplitudes are constructed in Feynman, Regge, and interpolated Regge types, respectively. The results show that neither the Feynman model with two nucleon resonances nor the interpolated Regge model with one nucleon resonance can satisfactorily reproduce the available data for

. Nevertheless, in the Regge model, when any one of the

,

,

,

,

,

,

,

, and

resonances is considered, the data can be well described. The resulting resonance parameters are consistent with those advocated in the Particle Data Group (PDG) review. Further analysis shows that, in the high-energy region, the peaks of

differential cross sections at forward angles are dominated by the contributions from t-channel ρ- and ω-exchange diagrams, while in low-energy region, the s-channel pole diagrams of resonances also provide significant contributions to the

cross sections.
Attentive Simple Recurrent Unit Knowledge Tracing Based on Learning Ability
Authors: Fan Feifan , Xiahou Jianbing , Lin Fan 
Published: November 2023

Abstract
Knowledge tracing can analyze the current knowledge level of students through the data of students’ previous learning activities. However, the existing models usually consider the features of exercises, ignoring the individual differences of students. It is difficult to accurately predict students’ mastery. In this paper, we propose an attentive simple recurrent unit knowledge tracing (SRU-MAKT) based on learning ability. The experimental results show that our model is superior to the existing models, and the AUC increases by 1.6%. We also conduct visualization experiments, which show that SRU-MAKT has interpretability.
Collaborative Disturbance Rejection Voltage Control Technology for Distribution Stations under Distributed Resource Coordination
Authors: Xia Lei , Liu Zhong , Zhou Guozheng , Zhao Peizhi , Yang Lin 
Published: November 2023

Abstract
In order to improve the stability of the voltage in the distribution system, a distributed resource coordination-based coordinated anti-interference voltage control technology for distribution stations is proposed. The study analyzes the anti-interference capabilities of different types of renewable energy, energy storage, electric vehicles, and control distributed photovoltaic grid-connected inverters based on the analysis results. The objective function and constraints of voltage control are set. Voltage control is performed by adjusting the photovoltaic inverter and reactive power compensation device. The experimental results show that the proposed method can achieve stable control of system voltage under both photovoltaic output fluctuations and load fluctuations, indicating that its control effect is good.
Chemical Process Fault Diagnosis Method Based on Deep Learning
Authors: Zhang Han , Xu Bing 
Published: November 2023

Abstract
To address the problem that the traditional fault diagnosis method for chemical processes under big data relies too much on expert experience and fault features are difficult to distinguish, a deep learning-based fault diagnosis method is proposed, which combines convolutional neural network (CNN), long and short-term memory (LSTM) and attention mechanism (AM). In this method, the spatial sequence features of the input signal are extracted by the CNN adaptively, while the LSTM extracts the time-series features of the signal. Finally, the model performance is enhanced by introducing the attention mechanism and using the SoftMax layer as a classifier for fault diagnosis, so that the model can notice the important features of the faults with the interference of noise. Simulation validation of the method in this paper is performed using the TE chemical process data set, and it is demonstrated that the method can be used for chemical process fault diagnosis studies. Finally, compared with other fault diagnosis methods, the method is more accurate and has certain superiority.
Detection of Pine Wood Nematode Infestation Based on Improved YOLOv5
Authors: Miao Jiaming , Zhang Chunhui , Yuan Mengfei , Gu Shenming 
Published: November 2023

Abstract
Pine wilt disease is a destructive forest disease caused by the parasitism of pine wood nematodes inside pine trees. Once infected, pine trees quickly wither and die due to the inability to drain water, hence it is also known as pine tree withering disease. It is mainly spread by pine sawyer beetles, with the characteristics of fast dissemination, rapid onset, and high mortality rate, making it a significant global plant disease. Failure to effectively control the pine wilt disease in a timely manner will result in the massive death of pine trees in a short period of time in forest areas. With the continuous development and popularization of artificial intelligence and UAV (Unmanned Aerial Vehicle) technology, combining various methods can timely detect diseased trees, and performing timely treatment and protection can greatly save the time and personnel costs of biological pest control. While it is also conducive to promoting the work of multiple related disciplines, such as bioengineering and greening engineering. In this paper, we first conducted a large number of aerial surveys on the forest area through UAV, collected relevant data, and preprocessed the obtained data, including data augmentation, cleaning, filtering, deduplication, formatting, etc., to ensure data quality and accuracy. Then, we labeled the data, and made certain improvements to the original YOLOv5. We added a new RRAM (Recurrent Residual Attention Module) to the original network model, which enables the network to timely focus on important information in redundant data, thus improving the network’s performance. Compared with the original YOLOv5, our network has a stronger performance.
Algorithm for Detecting Small Targets Based on Upgraded YOLOv5s
Authors: Tian Chengjun , Liu Haobo , Liu Zhe , Yan Yu , Zhang Jintong 
Published: November 2023

Abstract
Small targets are discovered despite the challenges posed by the limited number of features, low resolution, difficulty in extracting discriminative characteristics, and ease of interference from external influences. A modest target detection technique based on enhanced YOLOv5s is suggested in this research. First, a test storey dedicated to tiny objects is appended to the characteristic fusion part of the algorithm to help the model efficiently acquire features with smaller sensory fields; second, to help the model find features more correctly, a cooperative attention method module is integrated into the characteristic extraction section to eliminate trait redundancy without sacrificing feature information; finally, the Bi-FPN network construction is combined to help the model to locate features more accurately. With the Bi-FPN construction, the characteristic combination process is modified to strengthen the examining capability of small objectives with a characteristic combination. The experimental results demonstrate that the enhanced algorithm increases average detection accuracy over the baseline YOLOv5s method by 6.3%, while also increasing small target detection accuracy and decreasing false and missed detection situations.
The improved quantum genetic algorithm with its application in fault diagnosis
Authors: Xiang Hao 
Published: November 2023

Abstract
In this paper, by analyzing the characteristics of the simulated annealing algorithm (SA) and the real double-chain coding target gradient quantum genetic algorithm (DCQGA), the real double-chain coding target gradient quantum genetic simulated annealing algorithm (DCQGSAA) is proposed. Because the performance of LSSVR is extraordinarily sensitive to its key parameters, the proposed algorithm is used to optimize these parameters, then a hybrid non-parametric prediction model is put forward. This model is used in fault prediction of liquid rocket engine thrust. The simulation results show that the proposed model is effective for small samples and multi-dimensional fault prediction.