bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing fluency and productivity in human-robot collaboration through online scaling of dynamic safety zones
Authors: Scalera Lorenzo , Giusti Andrea , Vidoni Renato , Gasparetto Alessandro 
Published: July 2022

AbstractIndustrial collaborative robotics is promising for manufacturing activities where the presence of a robot alongside a human operator can improve operator’s working conditions, flexibility, and productivity. A collaborative robotic application has to guarantee not only safety of the human operator, but also fluency in the collaboration, as well as performance in terms of productivity and task time. In this paper, we present an approach to enhance fluency and productivity in human-robot collaboration through online scaling of dynamic safety zones. A supervisory controller runs online safety checks between bounding volumes enclosing robot and human to identify possible collision dangers. To optimize the sizes of safety zones enclosing the manipulator, the method minimizes the time of potential stop trajectories considering the robot dynamics and its torque constraints, and leverages the directed speed of the robot parts with respect to the human. Simulations and experimental tests on a seven-degree-of-freedom robotic arm verify the effectiveness of the proposed approach, and collaborative fluency metrics show the benefits of the method with respect to existing approaches.
Cultivable microbial diversity in speleothems using MALDI-TOF spectrometry and DNA sequencing from Krem Soitan, Krem Lawbah, Krem Mawpun, Khasi Hills, Meghalaya, India
Authors: Mudgil Devender , Paul Dhiraj , Baskar Sushmitha , Baskar Ramanathan , Shouche Yogesh S. 
Published: July 2022

AbstractThe microbial diversity in the Indian caves is inadequately characterized. This study reports on the culturable microbial communities in caves from the Indian sub-continent. This study aims to expand the current understanding of bacterial diversity in the speleothems and wall deposits from Krem Soitan, Krem Lawbah, Krem Mawpun in Khasi Hills, Meghalaya, India. A culture-dependent approach was employed for elucidating the community structure in the caves using MALDI-TOF spectrometry and 16S rRNA gene sequencing. A high bacterial diversity and a greater bacterial taxonomic diversity is reported using MALDI-TOF spectrometry and 16S rRNA gene sequencing. High microbial enumerations were observed on dilute nutrient agar (5.3 × 103 to 8.8 × 105) followed by M9 minimal medium (4 × 104 to 1.7 × 105) and R2A medium (1.0 × 104 to 5.7 × 105). A total of 826 bacterial isolates were selected and preserved for the study. 295 bacterial isolates were identified using MALDI-TOF spectrometry and the isolates which showed no reliable peaks were further identified by 16S rRNA gene sequencing. A total 91% of the bacterial diversity was dominated by Proteobacteria (61%) and Actinobacteria (30%). In addition, bacterial phyla include Firmicutes (7.45%), Deinococcus-Thermus (0.33%) and Bacteroidetes (0.67%) were found in the samples. At the genus level, Pseudomonas (55%) and Arthrobacter (23%) were ubiquitous followed by Acinetobacter, Bacillus, Brevundimonas, Deinococcus, Flavobacterium, Paenibacillus, Pseudarthrobacter. Multivariate statistical analysis indicated that the bacterial genera formed separate clusters depending on the geochemical constituents in the spring waters suitable for their growth and metabolism. To the best of our knowledge, there are no previous geomicrobiological investigations in these caves and this study is a pioneering culture dependent study of the microbial community with many cultured isolates.
Almost positive kernels on compact Riemannian manifolds
Authors: Gariboldi Bianca , Gigante Giacomo 
Published: July 2022

AbstractWe show how to build a kernel $$ K_X(x,y)=\sum _{m=0}^Xh(\lambda _m/{\lambda _X})\varphi _m(x)\overline{\varphi _m(y)} $$

K
X

(
x
,
y
)

=

∑

m
=
0

X

h

(

λ
m

/

λ
X

)

φ
m

(
x
)

φ
m

(
y
)

¯

on a compact Riemannian manifold $${{\,\mathrm{\mathcal {M}}\,}}$$

M

, which is positive up to a negligible error and such that $$K_X(x,x)\approx X$$

K
X

(
x
,
x
)

≈
X

. Here $$0=\lambda _0^2\le \lambda _1^2\le \cdots $$

0
=

λ
0
2

≤

λ
1
2

≤
⋯

are the eigenvalues of the Laplace–Beltrami operator on $${{\,\mathrm{\mathcal {M}}\,}}$$

M

, listed with repetitions, and $$\varphi _0,\,\varphi _1,\ldots $$

φ
0

,

φ
1

,
…

an associated system of eigenfunctions, forming an orthonormal basis of $$L^2({{\,\mathrm{\mathcal {M}}\,}})$$

L
2

(

M

)

. The function h is smooth up to a certain minimal degree, even, compactly supported in $$[-1,1]$$

[
-
1
,
1
]

with $$h(0)=1$$

h
(
0
)
=
1

, and $$K_X(x,y)$$

K
X

(
x
,
y
)

turns out to be an approximation to the identity.
The Patient Concerns Inventory in head and neck oncology: a structured review of its development, validation and clinical implications
Authors: Kanatas Anastasios , Lowe Derek , Rogers Simon N. 
Published: July 2022

Abstract
Introduction
The Patient Concerns Inventory (PCI) is a condition specific prompt list that was initially developed for head and neck cancer (HNC) and is referred to as the PCI–HN. There have been numerous publications regarding the PCI–HN, since it was first published in 2009. To date, there has not been a review of its development, validation and clinical implications. A collation of relevant papers into key sections allows multidisciplinary teams and researchers to have an overview of the PCI–HN’s background, evaluation and utility. This is essential if colleagues are to have confidence in the tool and be able to reflect on how to optimise its use in clinical practice.

Methods
Five search engines were used: EMBASE, Medline, PubMed, CINAHL and Handle-on-QOL for the specific term ‘Patient Concerns Inventory’ up to and including 1st February 2022. In addition, an accumulation of PCI–HN data of 507 HNC patients was drawn from previous studies in Liverpool and Leeds between 2007 and 2020 and was analysed specifically for this paper.

Results
54 papers relating to the PCI–HN were identified. The review is structured into eight sections: (1) What is the PCI–HN and how does it work; (2) Feasibility and acceptability; (3) Psychometrics; (4) Items selected and frequency (5) Associations with Health-Related Quality of Life (HRQOL) and casemix; (6) Other observational studies; (7) Randomised trial evaluation; (8) General discussion and further research.

Conclusions
As the term PCI is quite ubiquitous and produces many hits when searching the literature, this review provides a very concise and convenient historical context for the PCI–HN and collates the current literature.
The complex relationship between antibody titers and clinical outcome in botulinum toxin type A long-term treated patients with cervical dystonia
Authors: Hefter Harald , Ürer Beyza , Brauns Raphaela , Rosenthal Dietmar , Meuth Sven G. , Lee John-Ih , Albrecht Philipp , Samadzadeh Sara 
Published: July 2022

Abstract
Background
Repeated injections with abo- or onabotulinumtoxin type A (aboBoNT/A, onaBoNT/A) may lead to induction of neutralizing antibodies (NABs) and/or a secondary treatment failure (STF). The relation between NABs and STF is still unclear.

Aim of the study
To demonstrate that a significant improvement can be observed in patients with STF after abo- or onaBoNT/A-treatment when switched to incobotulinumtoxin type A (incoBoNT/A) and that in NAB-positive patients without STF abo- or onaBoNT/A-treatment can be continued without significant worsening.

Methods
Paralysis times (PT) of the mouse hemidiaphragm assay (MHDA) and clinical outcome (TSUI-score) was analyzed in 60 patients with cervical dystonia (CD) and STF after abo- or onaBoNT/A-treatment (STF-group) who were switched to incobotulinumtoxin type A (incoBoNT/A). These data were compared to those of 34 patients who were exclusively treated with incoBoNT/A (INCO-group). Furthermore, PTs and TSUI-scores were followed up over 7 years in 9 patients with NABs but without STF who were switched to inco-BoNT/A (SWI-group) and 9 other patients with NABs who remained on their previous BoNT/A preparation (NO-SWI-group).

Results
In the STF-group, a significant improvement of TSUI-scores could be detected after switch to incoBoNT/A. This improvement was less pronounced than in the INCO-group. There was no significant difference in long-term outcome between the SWI- and NO-SWI-group.

Conclusion
The best strategy is to avoid the induction of NABs. A switch to incoBoNT/A may lead to improvement in patients with STF. However, in some patients with NABs without STF, BoNT/A-treatment can be continued without significant worsening.
Effects of semaglutide on cardiovascular risk factors and eating behaviors in type 2 diabetes
Authors: Di Folco Ugo , Vallecorsa Noemi , Nardone Maria Rosaria , Pantano Angelo Lauria , Tubili Claudio 
Published: July 2022

Abstract

Aims
Aim of the present study was to evaluate the impact of once-weekly semaglutide on different end-points indicative of metabolic control, cardiovascular risk, dietary behavior, and treatment satisfaction in T2DM.

Methods
This was a retrospective observational study conducted in a diabetes clinic. Changes in HbA1c, fasting blood glucose (FBG), weight, blood pressure, lipid profile, and number of antihypertensive drugs at 32 weeks (T1) after the first prescription of semaglutide (T0) were analyzed. Furthermore, at T1 patients were asked to fill-in the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and the Control of Eating Questionnaire (COEQ).

Results
Overall, 104 patients were identified (mean age 63.6 ± 10.4 years, 58.7% men, diabetes duration 12.7 ± 8.7 years). After 32 weeks of treatment with semaglutide, HbA1c levels were reduced by 1.38%, FBG by − 56.53 mg/dl, weight by 6.03 kg. Systolic and diastolic blood pressure, total, HDL-, LDL-, and non –HDL cholesterol, and triglycerides significantly improved. The number of glucose-lowering and antihypertensive drugs also decreased. At T1, DTSQ score was 32.23 ± 1.44, whereas COEQ indicated low levels of hunger and good control of eating.

Conclusions
The study documented benefits of semaglutide on metabolic control and multiple CV risk factors, simplification of therapeutic schemes and high satisfaction with diabetes treatment, and eating behaviors indicative of healthy diet and reduced food intake.
The Universal Program of Nonlinear Hyperelasticity
Authors: Yavari Arash , Goriely Alain 
Published: July 2022

AbstractFor a given class of materials, universal deformations are those that can be maintained in the absence of body forces by applying only boundary tractions. Universal deformations play a crucial role in nonlinear elasticity. To date, their classification has been accomplished for homogeneous isotropic solids following Ericksen’s seminal work, and homogeneous anisotropic solids and inhomogeneous isotropic solids in our recent works. In this paper we study universal deformations for inhomogeneous anisotropic solids defined as materials whose energy function depends on position. We consider both compressible and incompressible transversely isotropic, orthotropic, and monoclinic solids. We show that the universality constraints—the constraints that are dictated by the equilibrium equations and the arbitrariness of the energy function—for inhomogeneous anisotropic solids include those of inhomogeneous isotropic and homogeneous anisotropic solids. For compressible solids, universal deformations are homogeneous and the material preferred directions are uniform. For each of the three classes of anisotropic solids we find the corresponding universal inhomogeneities—those inhomogeneities that are consistent with the universality constraints. For incompressible anisotropic solids we find the universal inhomogeneities for each of the six known families of universal deformations. This work provides a systematic approach to study analytically functionally-graded fiber-reinforced elastic solids.
Barriers to blockchain adoption for supply chain finance: the case of Indian SMEs
Authors: Kaur Jaspreet , Kumar Satish , Narkhede Balkrishna E. , Dabić Marina , Rathore Ajay Pal Singh , Joshi Rohit 
Published: July 2022

AbstractSmall and medium enterprises (SMEs) in India are suffering from the long-standing challenges related to asymmetric information, high transaction costs, SMEs’ opacity and limited access to credit. Blockchain technology, which is still in its infancy in terms of adoption in India, can facilitate SMEs to counter these challenges. Fuelled by this motivation, the study aims to investigate the significant barriers to blockchain adoption in supply chain finance practices by Indian SMEs. Using fuzzy-analytic hierarchy process, sensitivity analysis, and fuzzy-decision-making trial and evaluation laboratory this paper identifies the blockchain barriers, prioritises them and examine their cause and effect relationships. The results of the study indicate that technology barriers are the most influential barriers that impede blockchain adoption. The findings will help the policymakers and practitioners to take suitable measures to overcome these barriers and fuel the adoption of blockchain in Indian SMEs.
Students’ critical reflections on learning across contexts in career education in Norway
Authors: Røise Petra 
Published: July 2022

AbstractFollowing community interaction theory and drawing upon the concept of boundary crossing, this paper investigates students’ experiences of career learning across contexts when involved in placement activities. Specifically, this work focuses on students’ experiences of continuity and discontinuity in relation to tensions naturally embedded in career education. For students to experience coherent career learning in lower secondary schools, career education must help relate career activities to career choice and learning by encouraging systematic reflections during preparation and follow-up. From a continuity/discontinuity perspective, when activities in out-of-school contexts are accompanied by an educational infrastructure, it can limit students’ freedom to reflect on their experiences. Analysis results point to the emancipatory potential of collective reflection after the placement activities. Furthermore, the results highlight the unfulfilled potential of discontinuity as a source of career learning when moving across contexts.
Our Legal Borders: Interrelated Constructions of Individual and Political Bodies
Authors: Young Stephen M 
Published: July 2022

AbstractIn liberal democracies that were British colonies, law constructs the linkages and distinctions between individual and political bodies. Legality re-iterates the form of an ancient construct called the King’s Two Bodies. The legal construction of these bodies ensures that their borders are continuously and perpetually contested and transgressed, and different modalities of power have arisen to take advantage of them. Additionally, in times of mass insecurity or crisis, we might believe that we need to fix our (personal or political) borders and construct them in more solid ways. However, because other modalities of power take advantage of these borders, even if legal reconstruction can momentarily assuage concerns, it is argued here that legal processes construct borders around individual and political bodies to ensure the (re)production of those contests and crises.
Advances in cosmeceutical nanotechnology for hyperpigmentation treatment
Authors: Tangau Mason Jarius , Chong Yie Kie , Yeong Keng Yoon 
Published: July 2022

AbstractHyperpigmentation is a common and major skin problem that affects people of all skin types. Despite the availability of various depigmentation active ingredients for skin hyperpigmentation disorder, none of them are completely satisfactory due to their poor permeability through the skin layer and significant toxicity, thereby causing severe side effects such as irritative dermatitis, erythema, itching, and skin flaking. Nanotechnology plays an important role in advancing the cosmeceutical formulation by improving the solubility, stability, safety, loading efficiency, and dermal permeability of the active ingredients. The aim of this review is to offer a comprehensive discussion on the application of various nanomaterials in improving cosmeceutical formulations used to treat hyperpigmentation. Focus is placed on elucidating the advantages that nanotechnology can bring to some common hyperpigmentation active ingredients such as hydroquinone, arbutin, kojic acid, azelaic acid, and retinoic acid to improve their efficacy in treating hyperpigmentation. Lastly, a total of 44 reported patents and articles of depigmenting compounds encapsulated by nanoparticles were filed and analyzed. Overall, lipid nanoparticles were found to be the most widely used nanomaterial in treating hyperpigmentation.
Graphical abstract
Data-Driven Predictive Modeling of Lithofacies and Fe In-Situ Grade in the Assen Fe Ore Deposit of the Transvaal Supergroup (South Africa) and Implications on the Genesis of Banded Iron Formations
Authors: Nwaila Glen T. , Zhang Steven E. , Bourdeau Julie E. , Negwangwatini Elekanyani , Rose Derek H. , Burnett Mark , Ghorbani Yousef 
Published: July 2022

AbstractThe Assen Fe ore deposit is a banded iron formation (BIF)-hosted orebody, occurring in the Penge Formation of the Transvaal Supergroup, located 50 km northwest of Pretoria in South Africa. Most BIF-hosted Fe ore deposits have experienced post-depositional alteration including supergene enrichment of Fe and low-grade regional metamorphism. Unlike most of the known BIF-hosted Fe ore deposits, high-grade hematite (> 60% Fe) in the Assen Fe ore deposit is located along the lithological contacts with dolerite intrusions. Due to the variability in alteration levels, identifying the lithologies present within the various parts of the Assen Fe ore deposit, specifically within the weathering zone, is often challenging. To address this challenge, machine learning was applied to enable the automatic classification of rock types identified within the Assen Fe ore mine and to predict the in-situ Fe grade. This classification is based on geochemical analyses, as well as petrography and geological mapping. A total of 21 diamond core drill cores were sampled at 1 m intervals, covering all the lithofacies present at Assen mine. These were analyzed for major elements and oxides by means of X-ray fluorescence spectrometry. Numerous machine learning algorithms were trained, tested and cross-validated for automated lithofacies classification and prediction of in-situ Fe grade, namely (a) k-nearest neighbors, (b) elastic-net, (c) support vector machines (SVMs), (d) adaptive boosting, (e) random forest, (f) logistic regression, (g) Naïve Bayes, (h) artificial neural network (ANN) and (i) Gaussian process algorithms. Random forest, SVM and ANN classifiers yield high classification accuracy scores during model training, testing and cross-validation. For in-situ Fe grade prediction, the same algorithms also consistently yielded the best results. The predictability of in-situ Fe grade on a per-lithology basis, combined with the fact that CaO and SiO2were the strongest predictors of Fe concentration, support the hypothesis that the process that led to Fe enrichment in the Assen Fe ore deposit is dominated by supergene processes. Moreover, we show that predictive modeling can be used to demonstrate that in this case, the main differentiator between the predictability of Fe concentration between different lithofacies lies in the strength of multivariate elemental associations between Fe and other oxides. Localized high-grade Fe ore along with lithological contacts with dolerite intrusion is indicative of intra-basinal fluid circulation from an already Fe-enriched hematite. These findings have a wider implication on lithofacies classification in weathered rocks and mobility of economic valuable elements such as Fe.
Fittingness first?: Reasons to withhold belief
Authors: Lee Wooram 
Published: July 2022

AbstractRecent years have seen the rise of fittingness-first views, which take fittingness to be the most basic normative feature, in terms of which other normative features can be explained. This paper poses a serious difficulty for the fittingness-first approach by showing that existing fittingness-first accounts cannot plausibly accommodate an important class of reasons: reasons not to believe a proposition. There are two kinds of reasons not to believe a proposition: considerations that are counterevidence; and considerations that count against believing the proposition without indicating that it is false. I will argue that the fittingness-first accounts have trouble accommodating reasons of the latter kind.
Spoken Corpora of Slavic Languages
Authors: Dobrushina Nina , Sokur Elena 
Published: July 2022

AbstractSpoken corpora are collections of transcribed and annotated audio and /or video recordings of languages or language varieties. The aim of this paper is to present an overview of 51 spoken corpora currently available for Slavic languages and dialects, in particular Belarusian, Bulgarian, Croatian, Czech, Polish, Russian, Slovak, Slovenian, Trasianka, Ukrainian/Rusyn. We identify three groups of corpora according to the type of lect: corpora of standard languages (spoken mainly in an urban environment and existing in both written and oral form), dialects (spoken mainly in a rural environment and unwritten), and bilingual varieties (we call bilingual varieties spoken as L2 by people with different L1 languages, as well as all varieties that evolved in a multilingual environment). We survey the corpora in terms of text registers, transcription, and principles of linguistic and extralinguistic annotation. In conclusion, we suggest a list of features that linguists should take into consideration when developing a spoken corpus. Many spoken corpora are currently being created for various Slavic lects, and their developers may use this overview as a source of information on different designs and solutions.
Extending the VEF traces framework to model data center network workloads
Authors: Andújar Francisco J. , Sánchez de la Rosa Miguel , Escudero-Sahuquillo Jesus , Sánchez José L. 
Published: July 2022

AbstractData centers are a fundamental infrastructure in the Big-Data era, where applications and services demand a high amount of data and minimum response times. The interconnection network is an essential subsystem in the data center, as it must guarantee high communication bandwidth and low latency to the communication operations of applications, otherwise becoming the system bottleneck. Simulation is widely used to model the network functionality and to evaluate its performance under specific workloads. Apart from the network modeling, it is essential to characterize the end-nodes communication pattern, which will help identify bottlenecks and flaws in the network architecture. In previous works, we proposed the VEF traces framework: a set of tools to capture communication traffic of MPI-based applications and generate traffic traces used to feed network simulator tools. In this paper, we extend the VEF traces framework with new communication workloads such as deep-learning training applications and online data-intensive workloads.
Negotiating “women”: metalinguistic negotiations across languages
Authors: Knoll Viktoria 
Published: July 2022

AbstractThe metalinguistic approach to conceptual engineering construes disputes between (what I shall call) linguistic reformers and linguistic conservatives as metalinguistic disagreements on how best to use particular expressions. As the present paper argues, this approach has various merits. However, it was recently criticised in Cappelen’s seminalFixing Language(2018). Cappelen raises an important objection against the metalinguistic picture. According to this objection – the Babel objection, as I shall call it – the metalinguistic account cannot accommodate the intuition of disagreement between linguistic conservatives and reformers who are speaking different languages. The objection generalises to metalinguistic approaches to e.g. moral disagreements. This paper discusses the Babel objection and shows how to dispel it.