bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trajectory planning and tracking control for 6‐DOF Stanford manipulator based on adaptive sliding mode multi‐stage switching control
Authors: Hu Qingxi , Zhang Dianfeng , Wu Zhaojing 
Published: June 2021

AbstractThis article intends to investigate the trajectory planning and tracking control for six‐degrees‐of‐freedom (6‐DOF) Stanford manipulator consisting of 3‐DOF mechanical arm and 3‐DOF spherical wrist. By using Denavit–Hartenberg (DH) method, the Euler–Lagrange equations of motion of mechanical arm subsystem and spherical wrist subsystem are established, respectively. A new version of backstepping‐based adaptive sliding mode controller is proposed for trajectory tracking of each subsystem. In order to grasp an object from one point to another, a special smooth continuous trajectory is planned by inverse kinematics analysis which transforms the position of the end‐effector in the task space to the joint position in the joint space. After that, a multi‐stage switching control strategy is proposed to achieve trajectory tracking control. Simulation results are provided to demonstrate the performance of the proposed control strategy.
Coordination and Redox Dual‐Responsive Mesoporous Organosilica Nanoparticles Amplify Immunogenic Cell Death for Cancer Chemoimmunotherapy
Authors: Zhang Fan , Chen Fangman , Yang Chao , Wang Lei , Hu Hanze , Li Xuezhao , Zheng Xiao , Wang Zheng , Chang Zhimin , Li Tianyu , Li Li , Ge Mingfeng , Du Jinzhi , Sun Wen , Dong Wen‐fei , Shao Dan 
Published: June 2021

AbstractAmplifying the chemotherapy‐driven immunogenic cell death (ICD) for efficient and safe cancer chemoimmunotherapy remains a challenge. Here, a potential ICD nanoamplifier containing diselenide‐bridged mesoporous organosilica nanoparticles (MONs) and chemotherapeutic ruthenium compound (KP1339) to achieve cancer chemoimmunotherapy is tailored. KP1339‐loaded MONs show controlled drug release profiles via glutathione (GSH)‐responsive competitive coordination and matrix degradation. High concentration of MONs selectively evoked reactive oxygen species production, GSH depletion, and endoplasmic reticulum stress in cancer cells, thus amplifying the ICD of KP1339 and boosting robust antitumor immunological responses. After the combination of PD‐L1 checkpoint blockade, cancer cell membrane‐cloaked KP1339‐loaded MONs not only regress primary tumor growth with low systemic toxicity, but also inhibit distant tumor growth and pulmonary metastasis of breast cancer. The results have shown the potential of coordination and redox dual‐responsive MONs boosting amplified ICD for cancer chemoimmunotherapy.
Investigations of water/oxide interfaces by molecular dynamics simulations
Authors: Wang Ruiyu , Klein Michael L. , Carnevale Vincenzo , Borguet Eric 
Published: June 2021

AbstractWater/oxide interfaces are ubiquitous on earth and show significant influence on many chemical processes. For example, understanding water and solute adsorption as well as catalytic water splitting can help build better fuel cells and solar cells to overcome our looming energy crisis; the interaction between biomolecules and water/oxide interfaces is one hypothesis to explain the origin of life. However, knowledge in this area is still limited due to the difficulty of studying water/solid interfaces. As a result, research using increasingly sophisticated experimental techniques and computational simulations has been carried out in recent years. Although it is difficult for experimental techniques to provide detailed microscopic structural information, molecular dynamics (MD) simulations have satisfactory performance. In this review, we discuss classical and ab initio MD simulations of water/oxide interfaces. Generally, we are interested in the following questions: How do solid surfaces perturb interfacial water structure? How do interfacial water molecules and adsorbed solutes affect solid surfaces and how do interfacial environments affect solvent and solute behavior? Finally, we discuss progress in the application of neural network potential based MD simulations, which offer a promising future because this approach has already enabled ab initio level accuracy for very large systems and long trajectories.This article is categorized under:
Theoretical and Physical Chemistry > Spectroscopy
Molecular and Statistical Mechanics > Molecular Interactions
Structure and Mechanism > Molecular Structures
Infrared renormalons in kinematic distributions for hadron collider processes
Authors: Ravasio Silvia Ferrario , Limatola Giovanni , Nason Paolo 
Published: June 2021

Abstract
Infrared renormalons in Quantum Chromodynamics are associated with non-perturbative corrections to short distance observables. Linear renormalons, i.e. such that the associated non-perturbative corrections scale like one inverse power of the hard scale, can affect at a non-negligible level even the very high-energy phenomena studied at the Large Hadron Collider. Using an Abelian model, we study the presence of linear renormalons in the transverse momentum distribution of a neutral vector boson Z produced in hadronic collisions. We consider a process where the Z transverse momentum is balanced by a sizable recoil against a coloured final state particle. One may worry that such a colour configuration, not being azimuthally symmetric, could generate unbalanced soft radiation, associated in turn with linear infrared renormalons affecting the transverse momentum distribution of the vector boson. We performed a numerical calculation of the renormalon effects for this process in the so-called large b0 limit. We found no evidence of linear renormalons in the transverse momentum distribution of the Z in the large transverse-momentum region, irrespective of rapidity cuts.
Employing nucleon decay as a fingerprint of SUSY GUT models using SusyTCProton
Authors: Antusch Stefan , Hohl Christian , Susič Vasja 
Published: June 2021

Abstract
While the observation of nucleon decay would be a smoking gun of Grand Unified Theories (GUTs) in general, the ratios between the decay rates of the various channels carry rich information about the specific GUT model realization. To investigate this fingerprint of GUT models in the context of supersymmetric (SUSY) GUTs, we present the software tool SusyTCProton, which is an extension of the module SusyTC to be used with the REAP package. It allows to calculate nucleon decay rates from the relevant dimension five GUT operators specified at the GUT scale, including the full loop-dressing at the SUSY scale. As an application, we investigate the fingerprints of two example GUT toy models with different flavor structures, performing an MCMC analysis to include the experimental uncertainties for the charged fermion masses and CKM mixing parameters. While both toy models provide equally good fits to the low energy data, we show how they could be distinguished via their predictions of ratios for nucleon decay rates. Together with SusyTCProton we also make the additional module ProtonDecay public. It can be used independently from REAP and allows to calculate nucleon decay rates from given D = 5 and D = 6 operator coefficients (accepting the required SUSY input for the D = 5 case in SLHA format). The D = 6 functionality can also be used to calculate nucleon decay in non-SUSY GUTs.
4-d Chern-Simons theory: higher gauge symmetry and holographic aspects
Authors: Zucchini Roberto 
Published: June 2021

AbstractWe present and study a 4-d Chern-Simons (CS) model whose gauge symmetry is encoded in a balanced Lie group crossed module. Using the derived formal set-up recently found, the model can be formulated in a way that in many respects closely parallels that of the familiar 3-d CS one. In spite of these formal resemblance, the gauge invariance properties of the 4-d CS model differ considerably. The 4-d CS action is fully gauge invariant if the underlying base 4-fold has no boundary. When it does, the action is gauge variant, the gauge variation being a boundary term. If certain boundary conditions are imposed on the gauge fields and gauge transformations, level quantization can then occur. In the canonical formulation of the theory, it is found that, depending again on boundary conditions, the 4-d CS model is characterized by surface charges obeying a non trivial Poisson bracket algebra. This is a higher counterpart of the familiar WZNW current algebra arising in the 3-d model. 4-d CS theory thus exhibits rich holographic properties. The covariant Schroedinger quantization of the 4-d CS model is performed. A preliminary analysis of 4-d CS edge field theory is also provided. The toric and Abelian projected models are described in some detail.
Extraction of neutrino Yukawa parameters from displaced vertices of sneutrinos
Authors: Chakraborty Amit , Moretti Stefano , Shepherd-Themistocleous Claire H. , Waltari Harri 
Published: June 2021

Abstract
We study displaced signatures of sneutrino pairs potentially emerging at the Large Hadron Collider (LHC) in a Next-to-Minimal Supersymmetric Standard Model supplemented with right-handed neutrinos triggering a Type-I seesaw mechanism. We show how such signatures can be established through a heavy Higgs portal, the sneutrinos then decaying to charged leptons and charginos giving rise to further leptons or hadrons. We finally illustrate how the Yukawa parameters of neutrinos can be extracted by measuring the lifetime of the sneutrino from the displaced vertices, thereby characterising the dynamics of the underlying mechanism of neutrino mass generation. We show our numerical results for the case of both the current and High-Luminosity LHC.
Fifty years of a public cassava breeding program: evolution of breeding objectives, methods, and decision-making processes
Authors: Ceballos Hernán , Hershey Clair , Iglesias Carlos , Zhang Xiaofei 
Published: June 2021

AbstractThis paper reviews and analyzes key features from cassava breeding at the International Center for Tropical Agriculture (CIAT) over 50 years and draws lessons for public breeding efforts broadly. The breeding team, jointly with national program partners and the private processing sector, defined breeding objectives and guiding business plans. These have evolved through the decades and currently focus on four global product profiles. The recurrent selection method also evolved and included innovations such as estimation of phenotypic breeding values, increasing the number of locations in the first stage of agronomic evaluations, gradual reduction of the duration of breeding cycles (including rapid cycling for high-heritability traits), the development of protocols for the induction of flowering, and the introduction of genome-wide predictions. The impact of cassava breeding depends significantly on the type of target markets. When roots are used for large processing facilities for starch, animal feeding or ethanol production (such as in SE Asia), the adoption of improved varieties is nearly universal and productivity at the regional scale increases significantly. When markets and relevant infrastructure are weak or considerable proportion of the production goes for local artisanal processing and on-farm consumption, the impact has been lower. The potential of novel breeding tools needs to be properly assessed for the most effective allocation of resources. Finally, a brief summary of challenges and opportunities for the future of cassava breeding is presented. The paper describes multiple ways that public and private sector breeding programs can learn from each other to optimize success.
Osteotomies around the knee lead to corresponding frontal realignment of the ankle
Authors: Konrads Christian , Eis Alexander , Ahmad Sufian S. , Stöckle Ulrich , Döbele Stefan 
Published: June 2021

Abstract
Introduction
Despite the fact that osteotomies around the knee represent well-established treatment options for the redistribution of loads and forces within and around the knee joint, unforeseen effects of these osteotomies on the ankle are still to be better understood. It was therefore the aim of this study to determine the influence of osteotomies around the knee on the coronal alignment of the ankle. We hypothesize that osteotomies around the knee for correction of genu varum or valgum lead to a change of the ankle orientation in the frontal plane by valgisation or varisation.

Materials and methods
Long-leg standing radiographs of 154 consecutive patients undergoing valgisation or varisation osteotomy around the knee in 2017 were obtained and utilized for the purpose of this study. Postoperative radiographs were obtained after union at the osteotomy site. The hip knee ankle angle (HKA), the mechanical lateral distal femur angle (mLDFA), the mechanical medial proximal tibia angle (mMPTA) and five angles around the ankle were measured. Comparison between means was performed using the Wilcoxon-Mann–Whitney test.

Results
One hundred fifty-four patients (96 males, 58 females) underwent osteotomies around the knee for coronal realignment. The mean age was 51 ± 11 years. Correction osteotomies consisted of 73 HTO, 54 DFOs, and 27 double level osteotomies. Of all osteotomies, 118 were for valgisation and 36 for varisation. For valgisation osteotomies, the mean HKA changed from 5.8° ± 2.9° preoperatively to − 0.9° ± 2.5° postoperatively, whereas the mMPTA changed from 85.9° ± 2.7° to 90.7° ± 3.1° and the malleolar-horizontal-orientation-angle (MHA) changed from 16.4° ± 4.2° to 10.9° ± 4.2°. For varisation osteotomies, the mean HKA changed from − 4.3° ± 3.7° to 1.1° ± 2.2° postoperatively, whereas the mLDFA changed from 85.7° ± 2.2° to 89.3° ± 2.3° and the MHA changed from 8.8° ± 5.1° to 11.2° ± 3.2°.

Conclusion
Osteotomies around the knee for correction of coronal limb alignment not only lead to lateralization or medialization of the weight-bearing line at the knee but also lead to a coronal reorientation of the ankle. This can be measured at the ankle using the MHA. When planning an osteotomy around the knee for correction of genu varum or valgum, the ankle should also be appreciated—especially in patients with preexisting deformities, ligament instabilities, or joint degeneration around the ankle.
Visual Influences on Auditory Behavioral, Neural, and Perceptual Processes: A Review
Authors: Opoku-Baah Collins , Schoenhaut Adriana M. , Vassall Sarah G. , Tovar David A. , Ramachandran Ramnarayan , Wallace Mark T. 
Published: June 2021

AbstractIn a naturalistic environment, auditory cues are often accompanied by information from other senses, which can be redundant with or complementary to the auditory information. Although the multisensory interactions derived from this combination of information and that shape auditory function are seen across all sensory modalities, our greatest body of knowledge to date centers on how vision influences audition. In this review, we attempt to capture the state of our understanding at this point in time regarding this topic. Following a general introduction, the review is divided into 5 sections. In the first section, we review the psychophysical evidence in humans regarding vision’s influence in audition, making the distinction between vision’s ability to enhance versus alter auditory performance and perception. Three examples are then described that serve to highlight vision’s ability to modulate auditory processes: spatial ventriloquism, cross-modal dynamic capture, and the McGurk effect. The final part of this section discusses models that have been built based on available psychophysical data and that seek to provide greater mechanistic insights into how vision can impact audition. The second section reviews the extant neuroimaging and far-field imaging work on this topic, with a strong emphasis on the roles of feedforward and feedback processes, on imaging insights into the causal nature of audiovisual interactions, and on the limitations of current imaging-based approaches. These limitations point to a greater need for machine-learning-based decoding approaches toward understanding how auditory representations are shaped by vision. The third section reviews the wealth of neuroanatomical and neurophysiological data from animal models that highlights audiovisual interactions at the neuronal and circuit level in both subcortical and cortical structures. It also speaks to the functional significance of audiovisual interactions for two critically important facets of auditory perception—scene analysis and communication. The fourth section presents current evidence for alterations in audiovisual processes in three clinical conditions: autism, schizophrenia, and sensorineural hearing loss. These changes in audiovisual interactions are postulated to have cascading effects on higher-order domains of dysfunction in these conditions. The final section highlights ongoing work seeking to leverage our knowledge of audiovisual interactions to develop better remediation approaches to these sensory-based disorders, founded in concepts of perceptual plasticity in which vision has been shown to have the capacity to facilitate auditory learning.
A review and experimental analysis of active learning over crowdsourced data
Authors: Sayin Burcu , Krivosheev Evgeny , Yang Jie , Passerini Andrea , Casati Fabio 
Published: June 2021

AbstractTraining data creation is increasingly a key bottleneck for developing machine learning, especially for deep learning systems. Active learning provides a cost-effective means for creating training data by selecting the most informative instances for labeling. Labels in real applications are often collected from crowdsourcing, which engages online crowds for data labeling at scale. Despite the importance of using crowdsourced data in the active learning process, an analysis of how the existing active learning approaches behave over crowdsourced data is currently missing. This paper aims to fill this gap by reviewing the existing active learning approaches and then testing a set of benchmarking ones on crowdsourced datasets. We provide a comprehensive and systematic survey of the recent research on active learning in the hybrid human–machine classification setting, where crowd workers contribute labels (often noisy) to either directly classify data instances or to train machine learning models. We identify three categories of state of the art active learning methods according to whether and how predefined queries employed for data sampling, namely fixed-strategy approaches, dynamic-strategy approaches, and strategy-free approaches. We then conduct an empirical study on their cost-effectiveness, showing that the performance of the existing active learning approaches is affected by many factors in hybrid classification contexts, such as the noise level of data, label fusion technique used, and the specific characteristics of the task. Finally, we discuss challenges and identify potential directions to design active learning strategies for hybrid classification problems.
Security assurance cases—state of the art of an emerging approach
Authors: Mohamad Mazen , Steghöfer Jan-Philipp , Scandariato Riccardo 
Published: June 2021

AbstractSecurity Assurance Cases (SAC) are a form of structured argumentation used to reason about the security properties of a system. After the successful adoption of assurance cases for safety, SAC are getting significant traction in recent years, especially in safety-critical industries (e.g., automotive), where there is an increasing pressure to be compliant with several security standards and regulations. Accordingly, research in the field of SAC has flourished in the past decade, with different approaches being investigated. In an effort to systematize this active field of research, we conducted a systematic literature review (SLR) of the existing academic studies on SAC. Our review resulted in an in-depth analysis and comparison of 51 papers. Our results indicate that, while there are numerous papers discussing the importance of SAC and their usage scenarios, the literature is still immature with respect to concrete support for practitioners on how to build and maintain a SAC. More importantly, even though some methodologies are available, their validation and tool support is still lacking.
The Torsional Quartz-Crystal Viscometer
Authors: Wakeham William A. , Richardson Stephen M. 
Published: June 2021

AbstractA complete theoretical analysis of the fluid and solid dynamics of the torsional quartz crystal viscometer is presented which for the first time, establishes a firm theoretical basis for two working equations whereby the viscosity of a fluid may be determined from measurements of the resonant frequency of the crystal and the width of the resonance when immersed in the fluid. Modern instrumentation means that it is possible to achieve higher resolution in the measurement of these two quantities than hitherto and the new theory opens the way to securing a concomitant accuracy in the determination of viscosity.
Reflecting on Responsible Conduct of Research: A Self Study of a Research-Oriented University Community
Authors: Hite Rebecca L , Shin Sungwon , Lesley Mellinee 
Published: June 2021

Abstract
Research-oriented universities are known for prolific research activity that is often supported by students in faculty-guided research. To maintain ethical standards, universities require on-going training of both faculty and students to ensure Responsible Conduct of Research (RCR). However, previous research has indicated RCR-based training is insufficient to address the ethical dilemmas that are prevalent within academic settings: navigating issues of authorship, modeling relationships between faculty and students, minimization of risk, and adequate informed consent. U.S. universities must explore ways to identify and improve RCR concerns for current (faculty) and future researchers (students). This article reports the findings of a self-study (N = 50) of research stakeholders (students and faculty) at a top tier research institution. First, we report on their perceived importance of applying RCR principles. Second, we explore relationships between stakeholder backgrounds (e.g., prior training, field, and position) and how they ranked the degree of ethical concerns in fictitious vignettes that presented different unethical issues university students could encounter when conducting research. Vignette rankings suggested concerns of inappropriate relationships, predatory authorship and IRB violations which were judged as most unethical, which was dissimilar to what sampled researchers reported in practice as the most important RCR elements to understand and adhere to for successful research. Regression models indicated there was no significant relationship between individuals’ vignette ethics scores and backgrounds, affirming previous literature suggesting that training can be ineffectual in shifting researcher judgments of ethical dilemmas. Recommendations for training are discussed.
Time-Inhomogeneous Feller-type Diffusion Process with Absorbing Boundary Condition
Authors: Giorno Virginia , Nobile Amelia G. 
Published: June 2021

AbstractA time-inhomogeneous Feller-type diffusion process with linear infinitesimal drift$$\alpha (t)x+\beta (t)$$α(t)x+β(t)and linear infinitesimal variance 2r(t)xis considered. For this process, the transition density in the presence of an absorbing boundary in the zero-state and the first-passage time density through the zero-state are obtained. Special attention is dedicated to the proportional case, in which the immigration intensity function$$\beta (t)$$β(t)and the noise intensity functionr(t) are connected via the relation$$\beta (t)=\xi \,r(t)$$β(t)=ξr(t), with$$0\le \xi <1$$0≤ξ<1. Various numerical computations are performed to illustrate the effect of the parameters on the first-passage time density, by assuming that$$\alpha (t)$$α(t),$$\beta (t)$$β(t)or both of these functions exhibit some kind of periodicity.