bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Drama of Expertise About Bipolar Disorder Online
Authors: Egher Claudia 
Published: December 2022

AbstractThis chapter describes how expertise about bipolar disorder is performed byThe National Institute of Mental HealthandLa Haute Autorité de Santé. Using an innovative methodological approach which combines insights from Latour (Science in Action. How to Follow Scientists and Engineers Through Society, Cambridge, MA, Harvard University Press, 1987) and media studies with a dramaturgical perspective (Goffman,The Presentation of Self in Everyday Life, London, Penguin, 1959/1990), it is argued that both institutions perform expertise in a conservative fashion, which allows them to articulate knowledge on bipolar disorder as stable and precise. While both institutions use similar performative techniques, they adapt them to subtly redefine bipolar disorder in ways that are aligned to the priorities characterizing their national health system and their institutional prerogatives and goals.
Tactical Re-appraisals and Digitally Informed Hypotheses About the Treatment for Bipolar Disorder
Authors: Egher Claudia 
Published: December 2022

AbstractThis chapter explores the Internet’s democratizing potential by considering how people diagnosed with bipolar disorder re-appropriate medical perspectives and combine them with personal insights to contribute to the development of new knowledge. Using de Certeau’s theory (1988) of creative tactics in everyday life, it is argued that through their online interactions, people diagnosed move beyond the performance of lay expertise and collectively generate “digitally informed hypotheses” about the effectiveness of treatment for bipolar disorder. Even though the Internet affords individuals diagnosed a voice, it is one which can have a broad epistemic impact only when heard and taken seriously by researchers.
Globalization and Sustainability: De Jure and De Facto Approach
Authors: Nabeshima Kaoru 
Published: December 2022

AbstractThis chapter covers sustainability issues from the industrial development and international trade perspectives. Issues covered can be broadly regarded as Goal 12: “Ensure sustainable consumption and production patterns” but touches upon various goals. In pursuing the goal of sustainability in economic activities, the society can take two different approaches. One is based on laws (including international agreements), de jure approach. The other is based more on the market force, such as based on Voluntary Sustainability Standards (VSS), de facto approach. Within the de jure approach, the chapter will cover efforts at global level (international agreements) and efforts at domestic levels. At the international levels, the chapter introduces some of the key areas and the motivations behind these agreements. For the discussions on the domestic levels, the chapter introduces the differences between the production-based environmental regulations and the product-related environmental regulations, and how this has influenced the industrial activities and international trade. In the part for VSS, the chapter will focus mainly on private standards with third-party certification schemes and how these diffuse across countries through trade linkages and implications to producers especially in developing countries. Finally, the chapter touches upon the governance issues related to regulations and private standards.
Defects in scalar field theories, RG flows and dimensional disentangling
Authors: Rodriguez-Gomez D. , Russo J. G. 
Published: December 2022

Abstract
We consider defect operators in scalar field theories in dimensions d = 4 − ϵ and d = 6 − ϵ with self-interactions given by a general marginal potential. In a double scaling limit, where the bulk couplings go to zero and the defect couplings go to infinity, the bulk theory becomes classical and the quantum defect theory can be solved order by order in perturbation theory. We compute the defect β functions to two loops and study the Renormalization Group flows. The defect fixed points can move and merge, leading to fixed point annihilation; and they exhibit a remarkable factorization property where the c-dependence gets disentangled from the coupling dependence.
CP violation in η(′) → π+π−μ+μ− decays
Authors: Zillinger Maximilian , Kubis Bastian , Sánchez-Puertas Pablo 
Published: December 2022

Abstract
It has been pointed out recently that a certain set of dimension-6 scalar P- and CP-violating light-quark-muon operators may be tested in η and η′ decays to various final states involving μ+μ− pairs, at a level not yet excluded by constraints from electric dipole moments. We here work out the hadronic matrix elements required for the predictions for the decays η, η′ → π+π−μ+μ−. We relate a new asymmetry in the angular distribution between the dipion and dimuon decay planes to the corresponding Wilson coefficients. Despite the advantage of not requiring the measurement of muon polarization, the projected sensitivities are shown to be moderate due to a combination of small phase space and chiral suppression. Such sensitivity studies are most timely in view of upcoming or planned high-statistics η(′) experiments such as the JLab eta factory or REDTOP.
Are trajectories of social isolation from childhood to mid-adulthood associated with adult depression or suicide outcomes
Authors: Lay-Yee Roy , Matthews Timothy , Moffitt Terrie , Poulton Richie , Caspi Avshalom , Milne Barry 
Published: December 2022

Abstract
Purpose
Social isolation has been shown to have negative effects on mental health outcomes though little is known about trajectories across the life course. We examined the relationship between trajectory groups and selected mental health outcomes in mid-adulthood.

Methods
We previously created a typology of social isolation based on onset during the life course and persistence into adulthood, using group-based trajectory analysis of longitudinal data from a New Zealand birth cohort. The typology comprises four groups: ‘never-isolated’, ‘adult-only’, ‘child-only’, and ‘persistent (child–adult) isolation’. We undertook logistic regression analyses of three mental health outcomes with trajectory group as the predictor, adjusting for sex and a range of familial and child-behavioural factors.

Results
Lifetime suicide attempt, and depression and suicide ideation in mid-adulthood were each associated with adult-only but not child-only social isolation. Depression in mid-adulthood was also associated with persistent child–adult social isolation.

Conclusion
Although our findings are associational and not causal, they indicate that interrupting persistent social isolation may help to prevent adult depression whereas halting adult social isolation may ameliorate both depression and suicide outcomes.
Reasoning about responsibility in autonomous systems: challenges and opportunities
Authors: Yazdanpanah Vahid , Gerding Enrico H. , Stein Sebastian , Dastani Mehdi , Jonker Catholijn M. , Norman Timothy J. , Ramchurn Sarvapali D. 
Published: December 2022

AbstractEnsuring the trustworthiness of autonomous systems and artificial intelligence is an important interdisciplinary endeavour. In this position paper, we argue that this endeavour will benefit from technical advancements in capturing various forms of responsibility, and we present a comprehensive research agenda to achieve this. In particular, we argue that ensuring the reliability of autonomous system can take advantage of technical approaches for quantifying degrees of responsibility and for coordinating tasks based on that. Moreover, we deem that, in certifying the legality of an AI system, formal and computationally implementable notions of responsibility, blame, accountability, and liability are applicable for addressing potential responsibility gaps (i.e. situations in which a group is responsible, but individuals’ responsibility may be unclear). This is a call to enable AI systems themselves, as well as those involved in the design, monitoring, and governance of AI systems, to represent and reason about who can be seen as responsible in prospect (e.g. for completing a task in future) and who can be seen as responsible retrospectively (e.g. for a failure that has already occurred). To that end, in this work, we show that across all stages of the design, development, and deployment of trustworthy autonomous systems (TAS), responsibility reasoning should play a key role. This position paper is the first step towards establishing a road map and research agenda on how the notion of responsibility can provide novel solution concepts for ensuring the reliability and legality of TAS and, as a result, enables an effective embedding of AI technologies into society.
Addressing topology optimization with overhang constraints for structures subjected to self-weight loads
Authors: Garaigordobil Alain , Ansola Rubén , Canales Javier , Borinaga Roque 
Published: December 2022

AbstractThis paper investigates the topology optimization of structures subjected to self-weight loads with self-supporting constraints for additive manufacturing. The integration of topology optimization procedures and additive manufacturing techniques can make the most of their advantages, and there is significant interest today in integrating both approaches. Imposing overhang constraints in topology optimization has been addressed, but primarily for classical topology optimization problems with fixed external loads, not design-dependent loads. This work combines an effective numerical procedure for contour evaluation with a modified version of the power-law model for low densities to eliminate the problems that arise when self-weight loads are considered. The overhang edge detection is based on the Smallest Univalue Segment Assimilating Nucleus (SUSAN) method, and a variable mask size technique is used to avoid eventual dripping problems. The proposed constraint function evaluates the overhang globally and allows control of the formation of unsupported contours for maximum stiffness design problems when self-weight loads are present. Several numerical experiments demonstrate the proposed method's effectiveness and robustness.
Mismatch between trochlear coronal alignment of arthritic knees and currently available prosthesis: a morphological analysis of 4116 knees and 45 implant designs
Authors: Rosa Sergio Barroso , Hazratwala Kaushik , Wilkinson Matthew P. R. 
Published: December 2022

Abstract
Purpose
In up to a fifth of total knee replacements (TKR), surgeons are not capable of achieving good clinical and functional results. Despite comprehensive diagnostic workup, an underlying cause is not always identified in these patients. The purpose of this study is to compare native and prosthetic trochlear anatomies, to evaluate a potential source of morphologic mismatch and theoretically, of poor clinical outcomes.

Methods
Native trochlear angles of 4116 knee CTs from 360 Knee Systems database of arthritic pre-operative TKR patients were evaluated. A semi-automated tridimensional analysis was performed to define the native trochlear angle in the coronal plane (NTA) among other 142 parameters. An active search was conducted to identify currently available TKR models; prosthetic trochlear orientation in the coronal plane (PTA) was extracted from the technical data provided by manufacturers.

Results
The mean native trochlear angle (NTA) was 1.6° ± 6.6° (valgus) with a range from − 23.8° (varus) to 30.3°(valgus). A valgus NTA was present in 60.6% of the knees and 39.4% of them had a varus NTA. 89 TKR models were identified; trochlear details were available for 45 of them, of which 93% were designed with a valgus orientation of the prosthetic trochlear angle (PTA) and 6.9% showed a neutral (0°) PTA. Varus alignment of PTA was not present in any system. Angular numeric values for PTA were available for 34 models; these ranged from 0° to 15° of valgus, with a median value of 6.18° (SD ± 2.88°).

Conclusion
This study shows a significant mismatch between native and prosthetic trochlear angles. A relevant proportion of the studied knees (41.45%) fall out of the trochlear angle range of currently available implants; representing a potential source for biomechanical imbalance. While further research is warranted to fully understand the clinical implications of the present study, manufacturers may need to take these findings into account for future implant designs.

Level of evidence
Level III, retrospective cohort study.
Assessment of milling condition by image processing of the produced surfaces
Authors: Carbone Nicolas , Bernini Luca , Albertelli Paolo , Monno Michele 
Published: December 2022

AbstractThe digital industrial revolution calls for smart manufacturing plants, i.e. plants that include sensors and vision systems accompanied with artificial intelligence and advanced data analytics in order to meet the required accuracy, reliability and productivity levels. In this paper, we introduce a surface analysis and classification approach based on a deep learning algorithm. The approach is intended to let machining centres recognise the adequacy of process parameters adopted for the milling operation performed, based on the phenomenological effects left on the machined surface. Indeed, the operator will be able to understand how to change process parameters to improve workpiece quality of subsequent parts by a reverse engineering procedure that reconstructs the process parameters that generated the analysed surface. A shallow convolutional neural network was proposed to work on surface image patches based on a limited training dataset of optimal and undesired cutting conditions. The architecture consists of a series of 3 stacked convolutional blocks. The performance of the proposed solution was validated through 5-fold cross-validation, measuring the mean and standard deviation of the f1-score metric. The algorithm arrived at outperformed the best state-of-the-art approach by 4.8% when considering average classification performance.
Exponential convergence of hp FEM for spectral fractional diffusion in polygons
Authors: Banjai Lehel , Melenk Jens M. , Schwab Christoph 
Published: December 2022

AbstractFor the spectral fractional diffusion operator of order 2s, $$s \in (0,1)$$

s
∈
(
0
,
1
)

, in bounded, curvilinear polygonal domains $$\varOmega \subset {{\mathbb {R}}}^2$$

Ω
⊂

R

2

we prove exponential convergence of two classes of hp discretizations under the assumption of analytic data (coefficients and source terms, without any boundary compatibility), in the natural fractional Sobolev norm $${\mathbb {H}}^s(\varOmega )$$

H

s

(
Ω
)

. The first hp discretization is based on writing the solution as a co-normal derivative of a $$2+1$$

2
+
1

-dimensional local, linear elliptic boundary value problem, to which an hp-FE discretization is applied. A diagonalization in the extended variable reduces the numerical approximation of the inverse of the spectral fractional diffusion operator to the numerical approximation of a system of local, decoupled, second order reaction-diffusion equations in$$\varOmega $$
Ω
. Leveraging results on robust exponential convergence of hp-FEM for second order, linear reaction diffusion boundary value problems in $$\varOmega $$
Ω
, exponential convergence rates for solutions $$u\in {\mathbb {H}}^s(\varOmega )$$

u
∈

H

s

(
Ω
)

of $$\mathcal {L}^s u = f$$

L

s

u
=
f

follow. Key ingredient in this hp-FEM are boundary fitted meshes with geometric mesh refinement towards$$\partial \varOmega $$

∂
Ω

. The second discretization is based on exponentially convergent numerical sinc quadrature approximations of the Balakrishnan integral representation of $$\mathcal {L}^{-s}$$

L

-
s

combined with hp-FE discretizations of a decoupled system of local, linear, singularly perturbed reaction-diffusion equations in$$\varOmega $$
Ω
. The present analysis for either approach extends to (polygonal subsets $${\widetilde{\mathcal {M}}}$$

M
~

of) analytic, compact 2-manifolds $${\mathcal {M}}$$
M
, parametrized by a global, analytic chart $$\chi $$
χ
with polygonal Euclidean parameter domain $$\varOmega \subset {{\mathbb {R}}}^2$$

Ω
⊂

R

2

. Numerical experiments for model problems in nonconvex polygonal domains and with incompatible data confirm the theoretical results. Exponentially small bounds on Kolmogorov n-widths of solution sets for spectral fractional diffusion in curvilinear polygons and for analytic source terms are deduced.
Accelerating the development of implantable neurochemical biosensors by using existing clinically applied depth electrodes
Authors: Macdonald Alexander R. , Charlton Francessca , Corrigan Damion K. 
Published: December 2022

AbstractIn this study, an implantable stereo-electroencephalography (sEEG) depth electrode was functionalised with an enzyme coating for enzyme-based biosensing of glucose and L-glutamate. This was done because personalised medicine could benefit from active real-time neurochemical monitoring on small spatial and temporal scales to further understand and treat neurological disorders. To achieve this, the sEEG depth electrode was characterised using cyclic voltammetry (CV), differential pulse voltammetry (DPV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS) using several electrochemical redox mediators (potassium ferri/ferrocyanide, ruthenium hexamine chloride, and dopamine). To improve performance, the Pt sensors on the sEEG depth electrode were coated with platinum black and a crosslinked gelatin-enzyme film to enable enzymatic biosensing. This characterisation work showed that producing a useable electrode with a good electrochemical response showing the expected behaviour for a platinum electrode was possible. Coating with Pt black improved the sensitivity to H2O2 over unmodified electrodes and approached that of well-defined Pt macro disc electrodes. Measured current showed good dependence on concentration, and the calibration curves report good sensitivity of 29.65 nA/cm2/μM for glucose and 8.05 nA/cm2/μM for L-glutamate with a stable, repeatable, and linear response. These findings demonstrate that existing clinical electrode devices can be adapted for combined electrochemical and electrophysiological measurement in patients and obviate the need to develop new electrodes when existing clinically approved devices and the associated knowledge can be reused. This accelerates the time to use and application of in vivo and wearable biosensing for diagnosis, treatment, and personalised medicine.
Graphical abstract
Asymptotic State Transformations of Continuous Variable Resources
Authors: Ferrari Giovanni , Lami Ludovico , Theurer Thomas , Plenio Martin B. 
Published: December 2022

AbstractWe study asymptotic state transformations in continuous variable quantum resource theories. In particular, we prove that monotones displaying lower semicontinuity and strong superadditivity can be used to bound asymptotic transformation rates in these settings. This removes the need for asymptotic continuity, which cannot be defined in the traditional sense for infinite-dimensional systems. We consider three applications, to the resource theories of (I) optical nonclassicality, (II) entanglement, and (III) quantum thermodynamics. In cases (II) and (III), the employed monotones are the (infinite-dimensional) squashed entanglement and the free energy, respectively. For case (I), we consider the measured relative entropy of nonclassicality and prove it to be lower semicontinuous and strongly superadditive. One of our main technical contributions, and a key tool to establish these results, is a handy variational expression for the measured relative entropy of nonclassicality. Our technique then yields computable upper bounds on asymptotic transformation rates, including those achievable under linear optical elements. We also prove a number of results which guarantee that the measured relative entropy of nonclassicality is bounded on any physically meaningful state and easily computable for some classes of states of interest, e.g., Fock diagonal states. We conclude by applying our findings to the problem of cat state manipulation and noisy Fock state purification.
Optimization of the outcome of percutaneous nephrolithotomy regarding urinary leakage, what should we do?
Authors: Abdelgawad Esam , Kadry Ahmed M. , Abdelhalim Khaled M. , Abdelwahab Hassan A. 
Published: December 2022

AbstractTo evaluate the factors affecting urinary leakage post percutaneous nephrolithotomy. To define those at high risk in whom a double J stent for 4 weeks or external ureteral catheter fixation for at least 3 days is indicated at the end of procedure. A total of 140 patients who underwent single-stage Percutaneous Nephrolithotomy (PCNL) with single or multiple accesses were included between February 2014 and March 2019. A detailed history, laboratory and radiological investigations were performed on all patients. All patients were classified according to postoperative urinary leakage into three groups. We defined leakage as a leakage from percutaneous puncture site. Group 1 (90 patients), No leakage was defined as leakage < 12 hours. In group 2 (32 patients), short-term leakage was defined as leakage 12-48 hours, and in Group 3 (18 patients), prolonged urinary leakage > 48 hours. Patients with short-term and prolonged urinary leakage had a significantly shorter access tract. Most patients (93.8%) with short-term leakage had an access tract of 71-90 mm, while > 50% of patients (55.6) with prolonged leakage had an access tract of 51-70 mm (p <0.001). Multivariate ordinal regression revealed that Operative time, length of the access tract and parenchymal thicknesses significantly predict short-term and prolonged leakage. For predicting the prolonged urinary leakage, the length of access tract and parenchymalthickness showed significant areas under the curve (AUC); 78% (95% CI: 69 – 85, p = 0.002) and 94% (95% CI: 87 – 97, p <0.001), respectively. Operative time, length of the access tract and parenchymal thickness significantly predict short-term and prolonged leakage.
Global Analyses and Latest Research Hot Spots of Adipose-Derived Stem Cells in Fat Grafting: A Bibliometric and Visualized Review
Authors: Li Tian-Hao , Li Zi-Ming , Qin Xiao-Han , Yu Nan-Ze , Huang Jiu-Zuo , Long Xiao 
Published: December 2022

Abstract
Background
Fat grafting is one of the most effective treatments for soft tissue restoration and augmentation. Adipose-derived stem cells (ASCs) supplementation is one of the foremost concerns to improve its efficiency. There have been several studies aiming at adipose-derived mesenchymal stem cells in fat grafting, but no relevant bibliometric research has conducted.

Methods
Articles about fat grafting and ASCs were retrieved in Web of Science Core Collection (WoSCC). Using VOSviewer 1.6.10.0 (Leiden University, the Netherlands) and CiteSpace 6.1.R2 (Drexel University, USA), the information of national distribution, institutions, journals, authors and keywords were evaluated and calculated.

Results
A total of 1166 papers in the field of ASCs in fat grafting were retrieved from 2002 to 2021. The USA produced the most articles, and the top 2 productive institutions were all from the USA. Researchers and institutions conducting ASCs in fat grafting research have shown a widespread and close connection. Plastic and Reconstructive Surgery published the most article on ASCs in fat grafting, and professor Rubin Peter is the most productive author. The top 10 references with the highest LCS mainly focused on applying ASCs to assist fat transplantation in plastic surgery. The most cited keywords formed 4 clusters, and “mesenchymal stem,” “mesenchymal stromal cell,” “stromal vascular fraction” and “long term” were the most recently trending keywords.

Conclusions
This article provides a summary of the current research status focusing on fat grafting and ASCs. More efforts will be made to promote the application of ASCs in fat grafting.

Level of Evidence V
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.