bluuebunny/crossref_metadata_2025_split huggingface dataset:
The friction mechanics model within chip-tool-workpiece dual interfaces for cutting nickel based superalloy at the cooling and lubrication conditions of the three forms oil-on-water mist in wide temperature range
Authors: Ma Furong , Tang Linhu , Zhang Jihui , Hu Yanjun , Li Baodong , Sun Yongji 
Published: July 2022

Abstract
Nickel based superalloy has been extensively applied in the critical mechanical bearing components, such as aeroengine owing to its excellent performance at high temperature, but its machinability has always been dissatisfied. In order to improve processing efficiency, reduce cost, and decrease environmental pollution, in this paper, the friction mechanics model within chip-tool-workpiece dual interfaces was established in turning of S-type difficult-to-machine nickel based superalloy Inconel 718 utilizing the PVD TiAlN coated carbide tool under the cooling and lubrication conditions of three forms oil-on-water mist in wide temperature range (-30 ℃ ~ 150 ℃)(high temperature oil-on-water mist (150 ℃), normal temperature oil-on-water mist (20 ℃), and low temperature oil-on-water mist (-30 ℃)). Meanwhile the influence law and mechanism of the cutting speed, depth of cut, and feed on the three-way cutting forces, friction coefficient between chip-tool-workpiece dual interfaces, and normal stress and tangential stress in chip-tool interface have been studied. The results showed that the lowest and highest friction coefficient within chip-tool interface was obtained at the conditions of the high temperature oil-on-water mist (HTOoW) and the normal temperature oil-on-water mist (NTOoW), respectively. The most notable influence of the low temperature oil-on-water mist (LTOoW) on the strain hardening, strain rate hardening, and thermal softening of the materials occurred.
Analysis of dynamics of fusion solitons of the generelized (3+1)-Kadomtsev–Petviashvili equation
Authors: Isah Muhammad Abubakar , Yokus Asif 
Published: July 2022

Abstract
The aim of this paper is to introduce a generalized (3+1)-Kadomtsev-Petviashvili equation which is used to describe waves in a ferromagnetic medium. The equation's bilinear form is created and an ansatz as the combination of the exponential and hyperbolic sine function based on the Hirota bilinear form is used to find numerous novel precise solutions. These accurate solutions, which are depicted in the contour, two-dimensional and three-dimensional graphs, show the evolution of periodic characteristics. The modulation instability is used to investigate the the stability of the obtained solutions. Additionally, the development of the fusion soliton is be examined, as well as the fusion phenomenon in the traveling wave solution described in the physical discussion. For this evolution equation, the study indicates new mechanical structures and various characteristics. The derived results back up the model that was proposed. These discoveries open up a new avenue for us to investigate the concept further.
Stakeholders’ perspectives of a prospective interactive wearable system for upper extremity rehabilitation following stroke: A qualitative study
Authors: Yang Chieh-ling , Chui Rochelle , Mortenson W. Ben , Servati Peyman , Servati Amir , Tashakori Arvin , Eng Janice J 
Published: July 2022

Abstract
Background: Wearable sensor technology can facilitate diagnostics and monitoring of people with upper extremity (UE) paresis after stroke. The purpose of this study is to investigate the perspectives of clinicians, people living with stroke, and their caregivers on an interactive wearable system that detects UE movements and provides feedback. Methods: This qualitative description study used semi-structured interviews relating to the perspectives of a prospective interactive wearable system including a wearable sensor to capture UE movement and a user interface to provide feedback as the means of data collection. Ten rehabilitation therapists, 9 people with stroke, and 2 caregivers participated in this study.Results: Four themes were identified (1) “Everyone is different” highlighted the need for addressing individual user’s rehabilitation goal and personal preference; (2) “The wearable system should identify UE and trunk movements” emphasized that in addition to arm, hand, and finger movements, detecting compensatory trunk movements during UE movements is also of interest; (3) “Both quality and amount of movements are necessary to measure” described the parameters related to how well and how much the user is using their affected UE that participants envisioned the system to monitor; (4) “Functional activities should be practiced by the users” outlined UE movements and activities that are of priority in designing the system.Conclusions: Narratives from clinicians, people with stroke, and their caregivers offer insight into the design of interactive wearable systems. Future studies examining the experience and acceptability of existing wearable systems from end-users are warranted to guide the adoption of this technology.
Deficits in psychological resilience and problem-solving ability in adolescents with suicidal ideation
Authors: Xu Lin , Zhou Chendi , Zhang Zhongwen , Li Gen , Lu Weicong , Tian Xinhe , Huang Hebin , Li Danping , Yuan Tifei , Yin Jie , Lin Kangguang 
Published: July 2022

Abstract
Objectives: This study aimed to explore the characteristics and differences of psychological resilience and problem-solving ability in grade one junior middle school adolescents with or without suicidal ideation, focusing on the relationship between these factors and suicidal ideation.Methods: Ninety-nine adolescents (aged 10 to 14) were divided into Suicidal Ideation (SI, n=49) and Non-Suicidal Ideation (NSI, n=50) group by the Self-rating Idea of Suicide Scale (SIOSS). The Psychological Resilience Scale (PRS) and Tower of Hanoi task (TOH) were applied to assess psychological resilience and problem-solving ability, respectively.Results: The SI group scored significantly lower than the NSI group on PRS (p< 0.001), and performed more poorly on TOH than the NSI group, with more mistakes in the number of errors index (p< 0.001) and longer time in the task completion time index (p< 0.05). A significant negative correlation was observed between PRS and SIOSS (r = -0.413, p< 0.01). The sub-dimensions of PRS including emotional control, family support, and interpersonal assistance were significantly negatively correlated with the SIOSS total score (r = -0.361, - 0.360, - 0.382; p< 0.01).Conclusions: Our data suggest that adolescents with SI may have deficits in psychological resilience and problem-solving ability, which may serve as potential targets for intervention for suicidal ideation.
Design of Human Machine Interface through vision-based low-cost Hand Gesture Recognition system based on deep CNN
Authors: Sen Abir , Mishra Tapas Kumar , Dash Ratnakar 
Published: July 2022

Abstract
In this work, a real-time hand gesture recognition system-based human-computer interface (HCI) is presented. The system consists of six stages: (1) hand detection, (2) gesture segmentation, (3) use of six pre-trained CNN models by using the transfer-learning method, (4) building an interactive human-machine interface, (5) development of a gesture-controlled virtual mouse, (6) use of Kalman filter to estimate the hand position, based on that the smoothness of the motion of pointer is improved. Six pre-trained convolutional neural network (CNN) models such as VGG16, VGG19, ResNet50, ResNet101, Inception-V1, and MobileNet-V1 have been used to classify hand gesture images. Three multi-class datasets (two publicly and one custom) have been used to validate the models. Considering the models' performances, it is observed that Inception-V1 has significantly shown a better classification performance compared to the other five pre-trained models in terms of accuracy, precision, recall, and F-score values. The gesture recognition system is expanded and used to control some desktop applications (such as VLC player, audio player, file management, playing 2D Super-Mario-Bros game, etc.) with different customized gesture commands in real-time scenarios. The average speed of this system has reached 35 fps (frame per second), which meets the requirements for the real-time scenario. We have also shown the performance analysis of gesture-controlled applications and obtained the average response time (ms) for each control of every application in the real-time scenario. This model will be beneficial for physically disabled people interacting with the desktops.
Generalized Pareto Regression Trees for extreme event analysis
Authors: Farkas Sébastien , Heranval Antoine , Lopez Olivier , Thomas Maud 
Published: July 2022

Abstract
This papers derives finite sample results to assess the consistency of Generalized Pareto regression trees introduced by Farkas et al. [2021] as tools to perform extreme value regression for heavy-tailed distributions. This procedure allows one to constitute clusters of similar tail behaviors depending on the value of the covariates, based on a recursive partition of the sample and simple model selection rules. The results we provide are obtained from concentration inequalities, and are valid for a finite sample size. A misspecification bias that arises from the use of a Peaks over Threshold approach is also taken into account. Moreover, the derived properties legitimate the pruning strategies, that is the model selection rules, used to select a proper tree that achieves a compromise between simplicity and good fit. The methodology is illustrated through a simulation study, and a real data application in insurance against natural disasters.
Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: An initial experience
Authors: Orii Makoto , Sone Misato , Osaki Takeshi , Ueyama Yuta , Chiba Takuya , Sasaki Tadashi , Yoshioka Kunihiro 
Published: July 2022

Abstract
The present study aimed to compare the image quality of the coronary arteries and in-stent lumen between super-resolution deep learning reconstruction (SR-DLR) and model-based iterative reconstruction (MBIR). We prospectively enrolled 50 patients (median age, 68 years; interquartile range [IQR], 59–74 years; 34 men) who underwent coronary computed tomography angiography (CCTA) using a 320-detector row CT scanner between January and April 2022. The image noise in the ascending aorta, left atrium, and septal wall of the ventricle was measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in the proximal coronary arteries were calculated. Of the ten stents, stent strut thickness and luminal diameter were quantitatively evaluated. The image noise on SR-DLR was significantly lower than that on MBIR (median 22.1 HU; IQR, 19.1–24.5 HU vs. 27.4 HU; IQR, 24.1–31.1 HU, p < 0.01), whereas the SNR (median 16.3; IQR, 12.0–22.0 vs. 13.9; IQR, 9.8–19.2, p = 0.03) and CNR (median 25.2; IQR, 16.9–30.8 vs. 19.5; IQR, 14.5–23.7, p < 0.01) on SR-DLR were significantly higher than that on MBIR. Stent struts were significantly thinner (median, 0.66 mm; IQR, 0.61–0.72 mm vs. 0.80 mm; IQR, 0.68–0.86 mm, p < 0.01) and in-stent lumens were significantly larger (median, 1.82 mm; IQR, 1.57-1.95 mm vs. 1.34 mm; IQR, 1.26–1.60 mm, p < 0.01) on SR-DLR than on MBIR. This study’s initial experience with SR-DLR improves the image quality of the coronary arteries and in-stent lumen at CCTA compared with conventional MBIR.
Bedside zero-fluoroscopy temporary permanent pacemaker implantation in the electrical storm treatment under the guidance of EnSite 3D system: A case report
Authors: Wang Lei , Li Pengfei , li Jun , Xi Jicheng , Zhang Zhibiao , Yan Fang , Zhang Yanan , Wang Haixiong , Han Huiyuan 
Published: July 2022

Abstract
Background: Electrical storm (ES) is a clinical emergency characterized by multiple malignant ventricular arrhythmias or ICD discharges within 24 h, requiring early rational management. Case presentation: we report a 55-year-old man who underwent aortic valve replacement experienced recurrent ventricular tachycardia/ventricular fibrillation. A temporary permanent pacemaker with the EnSite system was implanted, and significant inhibition of the electrical storm, attributed to the atrial overdrive pacing, ensued. Conclusions: In emergency regarding an electrical storm, the bedside temporary permanent pacemaker implantation with the EnSite system is concluded to be feasible and safe.
Treatment of Long COVID with nirmatrelvir/ritonavir and tocilizumab in a patient with rheumatoid arthritis and SARS-CoV-2 antigen persistence: a case report
Authors: Visvabharathy Lavanya , Orban Zachary S. , Koralnik Igor J. 
Published: July 2022

Abstract
Background
Long COVID, or post-acute sequelae of SARS-CoV-2 infection (PASC) in ~ 30% of all infected individuals. Here, we present a case of PASC in a patient with rheumatoid arthritis characterized by viral persistence in the nasopharynx for 6 months after acute infection. We demonstrate transient disappearance of antigen persistence and decreased antiviral and autoimmune T cell responses after nirmatrelvir/ritonavir and tocilizumab treatment.
Case Presentation:
A 37-year-old female with a 7-year history of rheumatoid arthritis enrolled in a COVID-19 research study was found to continuously test SARS-CoV-2 antigen positive in the nasopharynx for 6 months after acute infection. She simultaneously presented with new-onset PASC symptoms including chronic occipital headache and periods of intense fatigue 8 weeks after acute infection. The patient was prescribed nirmatrelvir/ritonavir to treat SARS-CoV-2 persistence at 3.5 months post-acute infection and observed a reduction in PASC symptoms 3 weeks after completing antiviral treatment. After resurgence of PASC symptoms, she stopped treatment with tocilizumab for rheumatoid arthritis to attempt complete SARS-CoV-2 viral clearance. The severity of the patient’s PASC symptoms subsequently increased, and she developed new-onset brain fog in addition to previous symptoms, which resolved after resumption of tocilizumab treatment. Assessment of adaptive immune responses demonstrated that nirmatrelvir/ritonavir and tocilizumab treatment decreased antiviral and autoreactive T cell activation. After resuming tocilizumab treatment, the patient’s PASC symptoms were significantly reduced, but nasopharyngeal antigen positivity remained.
Conclusions
These data suggest that nirmatrelvir/ritonavir should be considered in the treatment of PASC in patients who have SARS-CoV-2 antigen persistence, though care must be taken to monitor the patient for symptom resurgence or viral reactivation. In addition, the IL-6 inhibitor tocilizumab may ameliorate PASC symptoms in patients with persistent headache, fatigue, and brain fog.
Microchemistry and magnesium isotope composition of the Purang ophiolitic chromitites (SW Tibet): New genetic inferences
Authors: Xiong Fahui , Zoheir Basem , Robinson Paul T. , Wirth Richard , Xu Xiangzhen , Qiu Tian , Sun Yi 
Published: July 2022

AbstractNew petrographic and microanalytical studies of mineral inclusions in the Purang ophiolitic chromitites (SW Tibet) are used to scrutinize the evolution of the associated Cretaceous sub-oceanic lithospheric mantle section. Silicate inclusions in the chromite grains include composite and single-phase orthopyroxene, clinopyroxene, amphibole, and uvarovite. Most inclusions are sub-rounded or globular, whereas a few inclusions exhibit cubic/octahedral crystal morphologies. The latter are randomly distributed in the large chromite grains, though discrete aggregates are consistently confined to the grain centers. Abundant micrometer-scale, clinopyroxene inclusions are topotaxially aligned along crystallographic planes. Less-abundant sulfide, wüstite, apatite, and uvarovite inclusions are observed in some samples.The trace element geochemistry of the Purang chromitite evoke parental MORB- and boninite-like melts, consistent with the supra-subduction zone setting. The δ26Mg values of the high-Cr and high-Al chromitites range from –0.25 to –0.29‰ and –0.05 to –0.32‰, respectively. The associated harzburgite has nearly overlapping δ26Mg values of –0.13 to –0.37‰, but pyroxenite sills show distinct δ26Mg values (–0.61 to –0.67‰). The variable Mg isotope signatures, combined with abundant exotic, ultrahigh-pressure and super reduced (UHP-SuR) mineral inclusions in the chromite grains, suggest that recycling and recrystallization under different mantle conditions played an important role in the genesis and evolution of these rocks. Furthermore, discrete silicate, sulfide, and metal alloy inclusions in the Purang chromitites are comparable to those reported in other Tethyan ophiolites, and collectively suggest a common geodynamic evolution.
Hydrothermal fluid signatures of the Yulong porphyry Cu-Mo deposit: Clues from the composition and U-Pb dating of W-bearing rutile
Authors: Chen Qi , Wang Changming , Bagas Leon , Du Bin , Shi Kangxing , Zhu Jiaxuan 
Published: July 2022

AbstractHydrothermal rutile (TiO2) is a widely distributed accessory mineral in hydrothermal veins or alteration assemblages of porphyry deposits and provides important information for further understanding hydrothermal fluid signatures. This study determines the geochemical composition and U-Pb dates of hydrothermal rutile from the Yulong porphyry Cu-Mo deposit in east Tibet, China. Three types of TiO2 polymorphs have been identified based on their Raman spectroscopic, textural, and chemical characteristics. (1) Brookite and anatase pseudomorphs after titanite in a fine-grained matrix, indicating low-temperature hydrothermal fluids destabilizing primary Ti-bearing minerals during argillic alteration (type-I). (2) Elongated and prismatic rutile present in hydrothermal veins or in clusters in accompanying alteration envelope characterized by weak zoning (type-II). And (3) rutile intergrown with sulfides in hydrothermal veins, characterized by well-developed patchy and sector zoning (type-III). In contrast to the type-I and type-II TiO2 polymorphs, tungsten is enriched in backscattered bright patches and sector zones in type-III rutile, which is due to the substitution of W6+ in the Ti4+ octahedral site. The mechanism of the enrichment of tungsten is effectively driven by the halogen-rich (F, Cl) aqueous fluids during hydrothermal mineralization. In situ U-Pb dating of the type-III rutile yields a lower intercept age of 41.8 ± 1.2 Ma, which brackets the timing of the Cu-Mo mineralization. The relationship between rutile textures and composition indicates that W-bearing rutile can serve as a recorder of hydrothermal processes in porphyry Cu deposits.
Magnetic contributions to corundum-eskolaite and corundum-hematite phase equilibria: A DFT cluster expansion study
Authors: Pope Daniel J. , Clark Aurora E. , Prange Micah P. , Rosso Kevin M. 
Published: July 2022

Abstract
Magnetic contributions have the potential to significantly influence predicted phase stability within alloy and mineral mixing phase diagrams, yet have been historically challenging to incorporate due to a significant increase to phase space sampling. In this work, we employ a computational protocol that includes spin orientation as an additional configurational component within multi-component cluster expansions between magnetic and non-magnetic metal oxide alloys [calculated using density functional theory (DFT) and the generalized gradient approximation]. This approach was used to determine the effect of magnetic contributions to corundum-eskolaite and corundum-hematite phase equilibria from first principles.
Two-component cluster expansions of the magnetic components of eskolaite and hematite were first performed showing the ability of this method to properly calculate their respective magnetic properties. Two-component cluster expansions were then performed for non-magnetic Al(III) and ferromagnetic Cr(III) and Fe(III), and phase diagrams were calculated for later comparison. Finally, a non-magnetic Al(III) and “up” and “down” magnetic configurations for anti-ferromagnetic Cr(III) and Fe(III) were performed. Magnetic contributions to the calculated phase diagram for the corundumeskolaite system were shown to be inconsequential but are vital for accurate determination of the corundum-hematite solvus.
Simulation of flood hazard, prioritization of critical sub-catchments, and resilience study in an urban setting using PCSWMM: a case study
Authors: Manchikatla Sagar Kumar , Umamahesh N. V. 
Published: July 2022

Abstract
Due to the dual pressure of rapid urbanization and climate change, urban flooding has become more common. Thus, for effective planning and mitigation strategies, it is of paramount interest to quantify the generated runoff and prioritize the urban critical sub-catchments. The present study investigates flood inundation in Hyderabad urban setting (zone-XII, zone-IV&V) using the Personal Computer Storm Water Management Model (PCSWMM) and prioritizes the critical sub-catchments using the compromise programming method (CPM) and PCSWMM. In addition, the system resilience is examined by integrating PCSWMM with GIS. The model simulation is performed for a 264 h (11 days) rainfall event that occurred in October 2020. The outcomes from the simulation are found to be satisfactory and in agreement with the field water logging points (WLPs). The inundation map results are validated with social media markers (SMMs). The critical sub-catchments are prioritized based on PCSWMM by runoff results and CPM by considering WLPs, slope and impervious percentage of sub-catchments as input criteria. The Integrated 1D-2D PCSWMM is used to examine the inundation velocity and depth. An urban flood hazard (UFH) map is generated to identify optimal low impact developments (LIDs). Subsequently, the present study showed how storage can improve the catchment capability and resilience of urban settings to tackle the excess stormwater.
Investigation of quantitative and qualitative changes in groundwater of Ardebil plain using ensemble artificial intelligence-based modeling
Authors: Sarreshtedar Ayda , Sharghi Elnaz , Afkhaminia Amin , Nourani Vahid , Ng Anne 
Published: July 2022

Abstract
Groundwater is an essential source to supply water for various sectors. This paper aimed to predict the quantitative and qualitative changes in groundwater over time and to evaluate the efficiency of different modeling methods. This study is based on three steps. In the first step, quantitative and qualitative piezometers were clustered by the Growing Neural Gas Network (GNG) method, and the central piezometer of each cluster was used on behalf of each cluster. In the second step, four different Artificial Intelligence (AI) models were applied, namely Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), Support Vector Machine (SVM), and Emotional Artificial Neural Network (EANN). As a post-processing approach three different ensemble methods were used: simple average ensemble (SAE), weighted average ensemble (WAE), and nonlinear neural network ensemble (NNE). In the third step, the outputs of single AI models were used to enhance the evaluation results. Therefore, the results demonstrate that the NNE led to reach the better performance for three GWL, TDS, and TH parameters up to 37, 29, and 23% on average, respectively. Study results will lead to the improvement of AI applications in groundwater research and will benefit groundwater development plans.