bluuebunny/crossref_metadata_2025_split huggingface dataset:
New methods for computing fuzzy eigenvalues and fuzzy eigenvectors of fuzzy matrices using nonlinear programming approach
Authors: khosravi Somaye , Hosseinzadeh Ali Asghar , Kanafi armin Ghane , Sheikhani amir hosein Refahi 
Published: August 2022

Abstract
In this paper, we propose a new method to obtain eigenvalues and fuzzy triangular eigenvectors of a fuzzy triangular matrix (Ã), which are the elements of the given fuzzy triangular matrix . To this purpose, we solve the 1 − cut of a fuzzy triangular matrix (Ã) to obtain the 1 − cut of eigenvalues and eigenvectors. Then, based on the results obtained in a 1 − cut mode, we use three new models to determine the left and right widths for those eigenvalues and eigenvectors. So, after some manipulation, in each of the models, the fully fuzzy linear systems (FFLSs) transformed to 2n crisp linear equations and some crisp linear non-equations (that, the first model includes 2(n + 1), the second model includes 2(n + 3) and the third model includes 6n + 2 crisp linear non-equation). Then, we suggest a nonlinear programming problem (NLP) to calculation simultaneous equations and non-equations. Furthermore, we define three other new eigenvalues (namely, fuzzy escribed eigenvalue, fuzzy peripheral eigenvalue, and fuzzy approximate eigenvalue) for a fuzzy triangular matrix (Ã) that does not have any suitable solution. the fuzzy escribed eigenvalue which is placed in a tolerable fuzzy triangular eigenvalue set (TTFES), the fuzzy peripheral eigenvalue placed in a controllable fuzzy triangular eigenvalue set (CTFES), and the fuzzy approximate eigenvalue placed in an approximate fuzzy triangular eigenvalue set (ATFES). Finally, numerical examples are presented to illustrate the proposed method.
OCTA detects and analyzes retinal vascular density changes from diabetes to diabetic retinopathy
Authors: Chen Kaichuan , Lv Xiao , Li Min , Han Wenting , Wang Xin , Bi Yanlong 
Published: August 2022

AbstractBackground To detect various indicators of retinal vascular plexus through optical coherence tomography angiography (OCTA) in non-diabetics and diabetics at various stages, and to analyze the characteristics of retinal microcirculation during each stage of diabetes. Methods OCTA was used to detect the four groups, namely non-diabetic, non-diabetic retinopathy (NDR), non-proliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR). Furthermore, it was also used to measure the retinal vascular density (VD) of the fovea, parafovea, and perifovea areas of the superficial capillary plexus (SCP) and deep capillary plexus (DCP). Results The logarithm of the minimum angle of resolution (LogMAR) visual acuity of the four groups of patients revealed a gradual upward trend, and a significant statistical difference (P < 0.001). The VD of Whole, Parafovea and Perifovea of SCP and DCP were compared between the control group, NDR group, NPDR group and PDR group, respectively, and the differences were statistically significant (P < 0.001). There was no significant difference in VD between the SCP and DCP of the fovea in the four groups (P > 0.001). The whole blood vessel density of the superficial retina and deep retina was significantly negatively correlated with LogMAR visual acuity (P < 0.001); There was no significant correlation observed between the superficial and deep fovea VD and LogMAR vision (P > 0.001). The superficial and deep parafovea VD exhibited a significant negative correlation with LogMAR vision (P < 0.001). The superficial and deep perifovea VD was significantly negatively correlated with LogMAR visual acuity (P < 0.001). Conclusion OCTA is a potential non-invasive imaging tool that can assist in monitoring the development of diabetic retinopathy, and the longer the disease period, the more obvious the decrease of retinal VD in patients.
Incomplete Multi-View Clustering Based on Low-rank Representation with Adaptive Graph Regularization
Authors: Zhang Kaiwu , Liu Baokai , Du Shiqiang , Yu Yao , Song Jinmei 
Published: August 2022

Abstract
Most of the existing traditional multi-view clustering algorithms succeed based on the assumption that the multi-view dataset is complete. However, in practical applications, complete data samples rarely exist and incomplete data are more common. To be able to deal with the incomplete information problem, this paper proposes an incomplete multi-view clustering algorithm based on graph regularized low-rank representations. Specifically, we first combine distance regularization terms and non-negative constraints based on low-rank representations to learn graphs with global and local data structures. Then, spectral clustering is used to obtain the corresponding low-dimensional representation of the graph. Finally, a new weighted fusion mechanism is introduced into the model to learn a consistent representation of all views, and the K-means algorithm is used to obtain the final clustering result. Experimental results on six incomplete multi-view datasets demonstrate that our proposed method achieves the best performance compared with the existing state-of-the-art methods.
Analytically evaluating the profile shift on the mesh stiffness and dynamic load of cracked spur gears
Authors: Wang Jinhai , Li Bolong , Lin Yunlei , Liu Changdong , Xing Lulu , Yang Jianwei 
Published: August 2022

Abstract
Profile shift is a powerful tool for increasing the gear tooth thickness and enhancing bending fatigue strength. However, it is one-sided to only improve the bending fatigue life of positive profile-shifted spur gear by strengthening the gear tooth body. Furthermore, the current research has not revealed the effect of profile shift on the dynamic load of the gear system with tooth root crack. Therefore, this paper establishes a novel analytical model. Based on the revised tooth shape, the model considers bending, shear, axial compressive, contact Hertzian, and fillet foundation potential energies. The results show that the negative profile shift is more sensitive to the root mean square value (RMS) of time-varying meshing stiffness (TVMS) than the positive. The negative profile-shifted gear provides high TVMS due to the high contact ratio under the health state. In comparison, it loses more TVMS with the crack propagation. Moreover, the positive profile-shifted gear has a lower effective meshing force and vibration intensity value in crack propagation than the negative. Overall, the positive profile shift can increase gear tooth life because it thickens the gear tooth and simultaneously decreases the dynamic load.
Characterization of the high temperature oxidation behaviour of Inconel 625 ® fabricated by additive manufacturing and conventional methods
Authors: Pineda-Arriaga Karen Y. , Ramírez-Ramírez Javier H. , Pérez-González Francisco A. , Alvardo-Orozco Juan M. , Colás Rafael , Garza-Montes-de-Oca Nelson F. 
Published: August 2022

Abstract
The differences between the oxidation behaviour of Inconel 625® superalloy fabricated by additive manufacturing and wrought conditions are presented. At 900 and 1000°C, the oxidation kinetics of the specimens exposed to synthetic dry air followed the parabolic rate law, the activation energy being 174 and 139 kJ/mol for the alloys fabricated by additive manufacturing and wrought conditions, respectively. For both alloys, chromia Cr2O3 was the primary oxide found on the surface of the alloy, together with nodules of NiCr2O4 spinel. Metallographic cross-sections of the specimens revealed the development of alumina Al2O3 and rutile TiO2 as internal oxides. The surface and subsurface oxidation of the alloys depended on their microstructures and the presence of the δ-Ni3Nb phase.
The relevance of wall roughness modeling for simulation of powder flows in laser metal deposition nozzles
Authors: Haghshenas Armin , Bohlen Annika , Tyralla Dieter , Groll Rodion 
Published: August 2022

Abstract
Point-particle large-eddy simulations and high-speed imaging are used to investigate effects of wall roughness and particle size on characteristics of a powder flow issuing from a vertical, round nozzle. Wall roughness effects on dynamics of particles can be characterized by the standard deviation of the roughness angle distribution $\Delta \gamma$, which is a hybrid roughness parameter that represents a combination of amplitude and spacing roughness parameters. We optically scan the inner nozzle surface to obtain the two-dimensional roughness profile, using which $\Delta \gamma$ is estimated. We adopt a stochastic approach in the numerical simulations to model the wall roughness. We find that this modeling is essential to obtain a good agreement between simulation and experimental results. The wall roughness is found to enhance the transverse dispersion of particles and to eliminate the preferential accumulation of particles in the near-wall region, giving rise to reduction of the mean particle velocity within the nozzle and to clustering of the particles in the nozzle core. Results also reveal that an increase in the particle size (characterized by Stokes number) and in the wall roughness leads to a reduction of the particle velocity and to an enhancement of the particle scattering throughout the jet region. However, a saturation behavior is observed in the particle scattering with the Stokes number. All this dependence is rationalized by the fact that the Stokes number and the wall roughness determine the correlation between two phases and the inelastic particle-wall collision frequency, respectively.
Prevalence and Factors associated with Caregivers' Hesitancy in Immunizing Dependent Older Adults with COVID-19 Vaccines: A Cross-Sectional Survey
Authors: Thanapluetiwong Saran , Chansirikarnjana Sirintorn , Charernwat Piangporn , Saranburut Krittika , Ittasakul Pichai 
Published: August 2022

Abstract
Background: Coronavirus disease 2019 (COVID-19) vaccinations were proven to prevent infection, hospitalization, and mortality. However, some caregivers may be hesitant to provide COVID-19 vaccine to ones under their care. Our study aimed to evaluate factors associated with caregivers' hesitancy to immunize the dependent older adults with COVID-19 vaccines.Method: We conducted a cross-sectional telephone survey about vaccine hesitancy among caregivers of dependent older patients in a geriatric clinic, Ramathibodi hospital. Caregivers were contacted and interviewed by the trained interviewers from June 20 to July 25, 2021.Results: The study had a total of 318 participants. Mean age of participants was 55.9 year. The majority of participants were the patients' offspring (86.5%). 39.9% of participants were hesitant to provide the older adults with COVID-19 vaccines. Factors associated with caregivers' vaccine hesitation were caregivers who sometimes felt uneasy, anxious, agitated, sad, or worried when they practiced social distancing, caregivers with COVID-19 vaccine refusal, and vaccine manufacturers.Conclusion: The prevalence of the caregivers' hesitancy to allow the older adults to get the COVID-19 vaccine was relatively high. Some factors were associated with higher vaccine hesitancy among the caregivers. The findings may aid in endorsing COVID-19 immunization in dependent older adults.
Design of Model-Free Adaptive Predictive Controllers with Low Online Computational Load for a Class of Discrete-Time Nonlinear Multiple-Input Multiple-Output Systems
Authors: Wang Yuan , Ma Yun , Li Meng , Li Qingxi 
Published: August 2022

Abstract
This paper proposes a novel model-free adaptive predictive control approach with low online computational load for of a class of unknown discretetime nonlinear multiple-input multiple-output systems. First, historical measurable input/output data is utilized to online construct equivalent explicit data models for control design, making the controllers model-free. Second, input structuralization where system inputs are expressed by linear combination of a few basis functions is integrated into predictive controller design for reducing online computational load. Third, a novel Kalman Filter-based regression factor computation approach is developed to predict data model parameters for realizing predictive function of controllers such that closed-loop system robustness can be enhanced when sudden changes from prescribed references are encountered. Last, numerical simulations validate that, by using much less online computational load, the proposed approach can achieve equivalent control performance compared with the existing approaches.
Agro-climatic characterization of potato production areas in Rwanda: meteorological data analysis and farmer perceptions
Authors: Nduwayezu Anastase , Didier Kouamé K. , Mamadou Chérif , Daouda Koné 
Published: August 2022

Abstract
From years ago, many climate change effects are happening in world different areas, including in Rwanda. The purpose of this study is to determine rainfall and temperature evolution trend for thirty years, in Rwandan zones growing potato. Temperature and rainfall daily data were collected from three weather stations which are Kawangire, Gikongoro and Kora recognized as respectively low, medium and high elevations. Farmers were interviewed to know their perceptions on weather conditions during past thirty years. Temperature and rainfall data were analyzed by ombrothermic diagram, Nickolson Index and graphing with generated trend equation methods. Interview data were analyzed with Chi-square test at P-Value significance < 5%. Results have shown as dry June, July and August months in low elevation; June, July and August in medium elevation and June and July in high elevation depending on decade. Rainfall was increasing (evolution trend was positive) in low and medium elevations, while it was decreasing (evolution trend was negative) in high elevation. Temperature was decreasing in low elevation area and it was positive in medium and high elevation areas. All interviewed farmers confirmed long term-shift in temperature and precipitations. 95%, 45% and 43% of farmers reported that weather was becoming wetter during last years. As conclusion, potato growing cooler and wetter conditions of high elevation are shifting to low elevation in Rwanda. For climate change mitigation, Rwanda needs to promote potato in its Eastern part, the low elevation region, in order to increase the crop production in the future.
Fault-tolerant fixed/preassigned-time synchronization control of uncertain singularly perturbed complex networks with time-varying delay and stochastic disturbances
Authors: Fan Gaofeng , Ma Yuechao 
Published: August 2022

Abstract
This paper focuses on the fixed-time (FXT) and preassigned-time (PAT) synchronization of uncertain singularly perturbed complex networks (SPCNs) with time-varying delay and stochastic disturbances. Firstly, the fault-tolerant quantized state feedback control strategy for the SPCNs systems to reach PAT and FXT synchronization is considered for the first time. Besides, by adopting suitable Lyapunov functional with parameter ε, with an approach of comparison system and mathematical techniques, the FXT synchronization criteria can be obtained. Next, the PAT synchronization can also be derived, which the synchronization time will be pre-designed based on the actual case. Finally, two simulation examples are presented to verify the effectiveness of the obtained results.
Whole Exome Analysis to Select Targeted Therapies for Patients with Metastatic Breast or Advanced Gynecological Cancer -A Feasibility Study-
Authors: Jaeger Bernadette Anna Sophia , Krawczyk Natalia , Japp Anna Sophia , Honisch Ellen , Köhrer Karl , Scheuring Sibylle , Petzsch Patrick , Neubauer Hans , Volkmer Anne Kathrin , Vesper Anne-Sophie , Esposito Irene , Ruckhäberle Eugen , Niederacher Dieter , Fehm Tanja 
Published: August 2022

Abstract
In this feasibility study we applied next generation sequencing (NGS) based whole exome sequencing (WES) of tumor tissue and peripheral blood of patients with metastatic breast (MBC, n = 44) or advanced gynecological cancer (AGC, n = 8). The purpose was to select targeted therapies according to “ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)”. Data interpretation was further supported by a browser-based Treatment Decision Support platform (MH Guide→, Molecular Health, Heidelberg, Germany). We identified 25 genomic alterations (GAs) with ESCAT LoE I or II in 18/32 MBC patients, which were available for evaluation: three copy number gains in ERBB2, two gBRCA1, two gBRCA2, six PIK3CA, one ESR1, three PTEN, one AKT1 and two ERBB2 mutations. In addition, five samples displayed MSI-H. In AGC we found one somatic BRCA1 mutation and one patient with a MSI-H endometrial cancer out of seven evaluable patients. Resulting treatment options were discussed in the molecular tumor board and could be recommended in a small but relevant proportion of patients with MBC (7/18). However, WES still is a technical challenge with sometimes long processing times and high costs. With a customized panel (38 genes), we want to shorten time for analyses and optimize selection of targeted therapies.
Revisiting The Environmental Kuznets Curve Hypothesis with Globalization for OECD Countries: The Role of Convergence Clubs
Authors: Bektaş Volkan , Ursavaş Neslihan 
Published: August 2022

Abstract
This paper aims to investigate the role of globalization in ecological footprint for OECD countries during the 1981–2015 period with the Environmental Kuznets Curve (EKC) framework. To do so, unlike the existing literature, we follow a different path. Firstly, we test the environmental convergence (EC) hypothesis using the Phillips and Sul (2007) methodology. Then, we examine the impact of globalization and energy consumption on ecological footprint (EF), and test the existence of EKC hypothesis using the dynamic ordinary least squares mean group (DOLSMG) estimator. The convergence test results indicate that OECD countries do not converge to same steady-state levels with regard to EF levels. However, we identify two convergence clubs that converging to a different steady-state equilibrium. The results of DOLSMG reveal that the EKC hypothesis is valid for both convergence groups. Furthermore, the impact of energy consumption and globalization on EF is higher for Club 2 which mostly includes developing countries.
Towards a pedagogy of social-ecological collaborations: engaging students and urban nonprofits for an ecology with cities
Authors: Toomey Anne , Smith Jason , Becker Cam , Palta Monica 
Published: August 2022

Abstract
The concept of ecology with cities calls for a broader scope of pedagogical and participatory research tools for engagement with and action on urban environmental issues. Projects that take an ecology with cities approach can provide gateways for diverse audiences, including students, teachers, community members, and scientists, to participate in urban ecology, thus serving as a potential steppingstone for further engagement. While there is increasing research on the value of participatory approaches for increasing ecological literacy (e.g. citizen science), less has been written on the collaborative process of such experiences, in particular the social aspects of projects that can enable the most successful outcomes and/or lessons learned. This paper describes a collaborative research project that engaged undergraduate students and community outreach staff of an urban nonprofit organization to better understand social uses and values associated with a small public park located on the Harlem River in New York City. We explore the outcomes of the project both for students and nonprofit staff and provide recommendations for educators interested in using a pedagogy of social-ecological collaborations in urban contexts. We believe that such an approach can help to prepare future generations of environmental researchers and practitioners to engage with others for an ecology with cities.
Catecholaminergic polymorphic ventricular tachycardia induced by sodium valproate due to TECRL mutation
Authors: Özçora Gül Demet Kaya , Köse Ahmet , Gürler Abdullah İhsan , Elkıran Özlem , Söbü Elif 
Published: August 2022

Abstract
Antiepileptic agents especially sodium channel blockers can trigger cardiac arrhythmias or conduction disorders. Herein, we present sodium valproate induced CVPT case due to TECRL gene mutation concordance with absence epilepsy. At the second month of the Sodium valproate treatment was started, she admitted with complaints of syncope and contraction while running. Routine laboratory tests, cardiac enzymes, electrocardiogram (ECG) and echocardiography (ECHO) findings were normal. EEG was normal, epileptic activity was resolved. Exercise ECG was performed, and it was normal. While the 12-channel ECG was normal at the beginning of the exercise test , bidirectional polymorphic ventricular extrasystoles (VES) and polymorphic ventricular tachcardia (PVT) were seen by increasing the effort. Genetic analysis revealed homozygous mutation in TECRL gene (c730+ 1G>C ). Parents genetic analysis revealed heterozygous for same mutation. Therapeutic dose of sodium valproate treatment may trigger arrhythmias in cases with genetic abnormalities, and in the presence of a normal ECG or even an exercise ECG, even if there is an EEG abnormality, if the semiology does not match, we believe that CVPT should be kept in mind and genetic studies should be performed.
“New is always better”: single-center experience of over 300 cases of single-incision robotic cholecystectomy comparing the new da Vinci SP with the previous Si/Xi systems
Authors: Choi Yoo Jin , Sang Nguyen Thanh , Jo Hye-Sung , Kim Dong-Sik , Yu Young-Dong 
Published: August 2022

Abstract
Minimally invasive surgery is usually more beneficial than open surgeries in various fields of surgery. With the newly developed Single-Port (SP) robotic surgical system, even single-site surgery has become easier to access. We compared single-incision robotic cholecystectomy between the Si/Xi and SP systems. This retrospective single-center study enrolled patients who underwent single-incision robotic cholecystectomy between July 2014 and July 2021. The clinical outcomes of the da Vinci Si/Xi and SP systems were compared. In total, 334 patients underwent single-incision robotic cholecystectomy (118 Si/Xi vs. 216 SP). The SP group had more chronic or acute cholecystitis than the Si/Xi group did. There was more bile spillage in the Si/Xi group during the surgery. The total operative and docking times were significantly shorter in the SP group. There was no difference in the postoperative outcomes. The SP system is safe and feasible in terms of comparable postoperative complication rates, and is more convenient in terms of docking and techniques.
Parkinsonism originates in a discrete secondary and
dystonia in a primary motor cortical-basal ganglia subcircuit
Authors: Baron Mark , Kumbhare Deepak , Weistroffer George , Goyanaga Sofia , Huang Zi 
Published: August 2022

Abstract
Although manifesting contrasting phenotypes, Parkinson’s disease and dystonia originate from similar pathophysiology. Previously, we lesioned a discrete dorsal region in the globus pallidus (rodent equivalent to globus pallidus externa) in rats and produced parkinsonism, while lesioning a nearby ventral hotspot induced dystonia. Presently, we injected anterograde fluorescent-tagged anterograde multi-synaptic tracers into these pallidal hotspots. Viral injections in the Parkinson’s hotspot fluorescent labeled a circumscribed region in the secondary motor cortex, while injections in the dystonia hotspot labeled within the primary motor cortex. Custom probability mapping and N200 staining affirmed the segregation of the cortical territories for Parkinsonism and dystonia to the secondary and primary motor cortices. Intracortical microstimulation localized territories specifically to their respective rostral and caudal microexcitable zones. Parkinsonian features are thus explained by pathological signaling within a secondary motor subcircuit normally responsible for initiation and scaling of movement, while dystonia is explained by abnormal (and excessive) basal ganglia signaling directed at primary motor corticospinal transmission.