bluuebunny/crossref_metadata_2025_split huggingface dataset:
CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression
Authors: Bougourzi Fares , Dornaika Fadi , Barrena Nagore , Distante Cosimo , Taleb-Ahmed Abdelmalik 
Published: August 2022

AbstractIn recent years, estimating beauty of faces has attracted growing interest in the fields of computer vision and machine learning. This is due to the emergence of face beauty datasets (such as SCUT-FBP, SCUT-FBP5500 and KDEF-PT) and the prevalence of deep learning methods in many tasks. The goal of this work is to leverage the advances in Deep Learning architectures to provide stable and accurate face beauty estimation from static face images. To this end, our proposed approach has three main contributions. To deal with the complicated high-level features associated with the FBP problem by using more than one pre-trained Convolutional Neural Network (CNN) model, we propose an architecture with two backbones (2B-IncRex). In addition to 2B-IncRex, we introduce a parabolic dynamic law to control the behavior of the robust loss parameters during training. These robust losses are ParamSmoothL1, Huber, and Tukey. As a third contribution, we propose an ensemble regression based on five regressors, namely Resnext-50, Inception-v3 and three regressors based on our proposed 2B-IncRex architecture. These models are trained with the following dynamic loss functions: Dynamic ParamSmoothL1, Dynamic Tukey, Dynamic ParamSmoothL1, Dynamic Huber, and Dynamic Tukey, respectively. To evaluate the performance of our approach, we used two datasets: SCUT-FBP5500 and KDEF-PT. The dataset SCUT-FBP5500 contains two evaluation scenarios provided by the database developers: 60-40% split and five-fold cross-validation. Our approach outperforms state-of-the-art methods on several metrics in both evaluation scenarios of SCUT-FBP5500. Moreover, experiments on the KDEF-PT dataset demonstrate the efficiency of our approach for estimating facial beauty using transfer learning, despite the presence of facial expressions and limited data. These comparisons highlight the effectiveness of the proposed solutions for FBP. They also show that the proposed Dynamic robust losses lead to more flexible and accurate estimators.
A nested primal–dual FISTA-like scheme for composite convex optimization problems
Authors: Bonettini S. , Prato M. , Rebegoldi S. 
Published: August 2022

AbstractWe propose a nested primal–dual algorithm with extrapolation on the primal variable suited for minimizing the sum of two convex functions, one of which is continuously differentiable. The proposed algorithm can be interpreted as an inexact inertial forward–backward algorithm equipped with a prefixed number of inner primal–dual iterations for the proximal evaluation and a “warm–start” strategy for starting the inner loop, and generalizes several nested primal–dual algorithms already available in the literature. By appropriately choosing the inertial parameters, we prove the convergence of the iterates to a saddle point of the problem, and provide anO(1/n) convergence rate on the primal–dual gap evaluated at the corresponding ergodic sequences. Numerical experiments on some image restoration problems show that the combination of the “warm–start” strategy with an appropriate choice of the inertial parameters is strictly required in order to guarantee the convergence to the real minimum point of the objective function.
Altruistic Foreign Aid and Climate Change Mitigation
Authors: Goussebaïle Arnaud , Bommier Antoine , Goerger Amélie , Nicolaï Jean-Philippe 
Published: August 2022

AbstractThis paper considers one altruistic developed country and several heterogeneous developing countries. We demonstrate that the lack of coordination between countries in tackling climate change finds an optimal solution if developing countries can expect to receive development aid transfers from the developed country. The mechanism requires a sufficiently high level of altruism and specific timing, but a global coalition is not necessary. We also show that the developed country may democratically assign a delegate who is more altruistic than its median voter in order to benefit from the efficiency gain generated by positive development aid transfers.
Teachers’ Beliefs About Inclusive Education and Insights on What Contributes to Those Beliefs: a Meta-analytical Study
Authors: Dignath Charlotte , Rimm-Kaufman Sara , van Ewijk Reyn , Kunter Mareike 
Published: August 2022

AbstractTeachers’ belief systems about the inclusion of students with special needs may explain gaps between policy and practice. We investigated three inter-related aspects of teachers’ belief systems: teachers’ cognitive appraisals (e.g., attitudes), emotional appraisal (e.g., feelings), and self-efficacy (e.g., agency to teach inclusive classrooms). To date, research in this field has produced contradictory findings, resulting in a sparse understanding of why teachers differ in their belief systems about inclusive education, and how teachers’ training experiences contribute to their development of professional beliefs. We used meta-analysis to describe the level and range of teachers’ beliefs about inclusive education, and examine factors that contribute to variation in teachers’ beliefs, namely (1) the point in teachers’ career (pre-service versus in-service), (2) training in special versus regular education, and (3) the effects of specific programs and interventions. We reviewed 102 papers (2000–2020) resulting in 191 effect sizes based on research with 40,898 teachers in 40 countries. On average, teachers’ cognitive appraisals, emotional appraisals, and efficacy about inclusion were found to be in the mid-range of scales, indicating room for growth. Self-efficacy beliefs were higher for preservice (M = 3.69) than for in-service teachers (M = 3.13). Teachers with special education training held more positive views about inclusion than regular education teachers (d = 0.41). Training and interventions related to improved cognitive appraisal (d = 0.63), emotional appraisal (d = 0.63), and self-efficacy toward inclusive practices (d = 0.93). The training was particularly effective in encouraging reflection of beliefs and, eventually, facilitating belief change when teachers gained practical experience in inclusive classrooms. Six key findings direct the next steps.
Assessing the subjective quality of smartphone anterior segment photography: a non-inferiority study
Authors: Goel Raghav , Macri Carmelo , Bahrami Bobak , Casson Robert , Chan Weng Onn 
Published: August 2022

Abstract
Purpose
To assess the subjective quality of anterior segment photos taken from a smartphone camera adapted to the slit lamp compared to a commercial inbuilt slit-lamp camera.

Methods
Non-inferiority study. Five paired images of the anterior segment of normal eyes were taken using an iPhone 11 (Apple, Inc., Calif., USA) camera attached to a universal slit-lamp adaptor and a commercial inbuilt slit-lamp camera (Haag-Streit Diagnostics, Bern, Switzerland). Images were collated into a survey in which ophthalmology students, residents, registrars, and consultants participated to select the image taken from the inbuilt slit-lamp camera. If the image quality was subjectively indistinguishable, we expected a 50:50 split for each photograph that was presented. We selected a 10% non-inferiority margin, with the hypothesis that no less than 40% of images believed to be from the conventional camera were in fact from the smartphone camera.

Results
There were 27 respondents in the survey: ophthalmology consultants (n = 7), registrars (n = 10), residents (n = 7), intern (n = 1) and students (n = 2). The mean correct identification across the respondents was 11.3 out of 25 (45.2%) images. Overall, the smartphone camera was non-inferior to the inbuilt slit-lamp camera (p < 0.001). The non-inferiority of the smartphone camera was significant for consultants (47.4%, p < 0.01), registrars (47.6%, p < 0.001) and residents (37.7%, p < 0.0001).

Conclusions
Anterior segment images obtained with a smartphone camera were non-inferior to the commercial inbuilt slit-lamp camera. Smartphone cameras may be a non-inferior tool for communication of anterior segment images having implications for the ease of access to quality telehealth consultations.
Algebraic Effects for Extensible Dynamic Semantics
Authors: Grove Julian , Bernardy Jean-Philippe 
Published: August 2022

AbstractResearch in dynamic semantics has made strides by studying various aspects of discourse in terms of computational effect systems, for example, monads (Shan, 2002; Charlow, 2014), Barker and 2014), (Maršik, 2016). We provide a system, based on graded monads, that synthesizes insights from these programs by formalizing individual discourse phenomena in terms of separate effects, or grades. Included are effects for introducing and retrieving discourse referents, non-determinism for indefiniteness, and generalized quantifier meanings. We formalize the behavior of individual effects, as well as the interactions between effects, in terms of algebraic laws tailored to the relevant discourse phenomena. The system we propose is thus modular and suggests a novel approach to integrating formal accounts of distinct semantic phenomena. Finally, we give an interpretation of the system into pure $$ \lambda $$
λ
-calculus that respects the laws. Future work will aim to integrate more discourse phenomena using the same methodology, for example, presupposition and conventional implicature.
Effect of a Wireless Vital Sign Monitoring System on the Rapid Response System in the General Ward
Authors: Han Won Ho , Sohn Dae Kyung , Hwangbo Yul , Park Hee Jung , Kim Mijung , Choi Yoona , Shin Il Won , Lee Jung Min , Jeon Heungki , Ryu Ki Chung , Yoon Taesik , Kim Jee Hee 
Published: August 2022

AbstractWhile wireless vital sign monitoring is expected to reduce the vital sign measurement time (thus reducing the nursing workload), its impact on the rapid response system is unclear. This study compared the time from vital sign measurement to recording and rapid response system activation between wireless and conventional vital sign monitoring in the general ward, to investigate the impact of wireless vital sign monitoring system on the rapid response system. The study divided 249 patients (age > 18 years; female: 47, male: 202) admitted to the general ward into non-wireless (n = 101) and wireless (n = 148) groups. Intervals from vital sign measurement to recording and from vital sign measurement to rapid response system activation were recorded. Effects of wireless system implementation for vital sign measurement on the nursing workload were surveyed in 30 nurses. The interval from vital sign measurement to recording was significantly shorter in the wireless group than in the non-wireless group (4.3 ± 2.9 vs. 44.7 ± 14.4 min, P < 0.001). The interval from vital sign measurement to rapid response system activation was also significantly lesser in the wireless group than in the non-wireless group (27.5 ± 12.9 vs. 41.8 ± 19.6 min, P = 0.029). The nursing workload related to vital sign measurement significantly decreased from 3 ± 0.87 to 2.4 ± 9.7 (P = 0.021) with wireless system implementation. Wireless vital sign monitoring significantly reduced the time to rapid response system activation by shortening the time required to measure the vital signs. It also significantly reduced the nursing workload.
Computer-generated structured electronic medical records are preferable to conventional medical records for patients with acute abdominal pain - a prospective, double-blinded study
Authors: Saaristo Leena , Ukkonen Mika T. , Wirta Erkki-Ville , Kotaluoto Sannamari , Lammi Matleena , Laukkarinen Johanna M. , Pauniaho Satu-Liisa K. 
Published: August 2022

Abstract
Objectives
Structured medical records improve readability and ensure the inclusion of information necessary for correct diagnosis and treatment. This is the first study to assess the quality of computer-generated structured medical records by comparing them to conventional medical records on patients with acute abdominal pain.

Materials and methods
A prospective double-blinded study was conducted in a tertiary referral center emergency department between January 2018 and June 2018. Patients were examined by emergency department physicians and by experience and inexperienced researcher. The researchers used a new electronical medical records system, which gathered data during the examination and the system generate structured medical records containing natural language. Conventional medical records dictated by physician and computer-generated medical records were compared by a group of independent clinicians.

Results
Ninety-nine patients were included. The overall quality of the computer-generated medical records was better than the quality of conventional human-generated medical records – the structure was similar or better in 99% of cases and the readability was similar or better in 86% of cases, p < 0.001. The quality of medical history, current illness, and findings of physical examinations were likewise better with the computer-generated recording. The results were similar when patients were examined by experienced or inexperienced researcher using the computer-generated recording.

Discussion
The quality of computer-generated structured medical records was superior to that of conventional medical records. The quality remained similar regardless of the researcher’s level of experience. The system allows automatic risk scoring and easy access for quality control of patient care. We therefore consider that it would be useful in wider practice.
Mapping the use of knowledge in policymaking: barriers and facilitators from a subjectivist perspective (1990–2020)
Authors: Capano Giliberto , Malandrino Anna 
Published: August 2022

AbstractThe use of knowledge and evidence in policymaking is a recurrent topic of research due to its scientific and policy relevance. The existing and expansive body of literature has been scrutinised in various ways to grasp the dimensions of knowledge utilisation in policymaking, although most of this research has a monosectoral focus and is based on very general criteria of analysis that do not completely account for the complexity of policy making. This paper overcomes this limitation by enlightening the epistemological divide in the field between an objectivist and a subjectivist perspective and by distinguishing two different focuses in this literature: a focus on knowledge for policy making and a focus on knowledge in policy making. Based on this analytical distinction, the paper presents an original and unprecedented systematic, intersectoral metareview by considering the thirty-year period between 1990 and 2020 (approximately 1,400 were selected for fine-grained analysis). This metareview offers a broader and more detailed map with a clear idea of the distribution of interest in the topic among the different policy fields, a better classification of the theoretical/empirical content and research goals that scholars adopt and a novel and, above all, more fine-grained perspective on the types of conditions that favour or disfavour a significant role of knowledge in policymaking. Ultimately, and above all, this metareview identifies three highly relevant components of policy making that can facilitate or constrain the use of knowledge in policymaking more than others: values/ideology/beliefs, actors’ relationships, and policy capacities.
Navigating the role of emotions in expertise: public framing of expertise in the Czech public controversy on birth care
Authors: Durnová Anna P. , Hejzlarová Eva M. 
Published: August 2022

AbstractDespite the abundant scholarship on sociopolitical embeddedness of expertise, its relation to emotions remains understudied. The paper fills this gap by discussing how public framings of expertise work against the inclusion of emotional contexts, affecting what kind of professional knowledge dominates in a public debate. The analysis of the Czech public debate on birth care shows that while midwives embrace emotional contexts of birthing and integrate them as an essential part of their professional expertise, obstetricians see these contexts as troubling their expertise. This professional difference is sustained by the public framing of expertise in the media, favoring obstetricians’ expertise over midwives’. The analysis shows that public framing of expertise outweighs evidential work done by midwives and legal advisors and impacts how emotional contexts are understood in the debate. Rather than referring to feelings and personal experience of the body, the “emotional” becomes a discursive label to delegitimize professional opinion. The results raise thus important questions about how the public framing of expertise impacts whether emotional context and experiences of bodily harm are seen as relevant in policy debates and policy regulations.
Impacts of Mineralogy on Petrophysical Properties
Authors: Lima Maira C. O. , Pontedeiro Elizabeth M. , Ramirez Mateus G. , Favoreto Julia , dos Santos Hélisson N. , van Genuchten Martinus Th. , Borghi Leonardo , Couto Paulo , Raoof Amir 
Published: August 2022

AbstractBecause of their extreme heterogeneity at multiple scales, carbonate rocks present a great challenge for studying and managing oil reservoirs. Depositional processes and diagenetic alterations of carbonates may have produced very complex pore structures and, consequently, variable fluid storage and flow properties of hydrocarbon reservoirs. To understand the impact of mineralogy on the pore system, we analyzed four carbonate rock samples (coquinas) from the Morro do Chaves Formation in Brazil. For this study, we used thin sections and XRD for their mineralogical characterization, together with routine core analysis, NMR, MICP and microCT for the petrophysical characterizations. The samples revealed very similar porosity values but considerably different permeabilities. Samples with a relatively high quartz content (terrigenous material) generally had lower permeabilities, mostly caused by more mineral fragmentation. Samples with little or no quartz in turn exhibited high permeabilities due to less fragmentation and more diagenetic actions (e.g., dissolution of shells). Results confirm that carbonate minerals are very susceptible to diagenesis, leading to modifications in their pore body and pore throat sizes, and creating pores classified as moldic and vug pores, or even clogging them. For one of the samples, we acquired detailed pore skeleton information based on microCT images to obtain a more complete understanding of its structural characteristics.
The combination of melatonin implants and prostaglandin F2α improves lamb production in a late-autumn mating season
Authors: Barbanoj J. , Abecia J. A. 
Published: August 2022

AbstractTo determine the effect of the combination of melatonin implants and prostaglandin (PG) F2α on reproductive performance in the late breeding season (Dec at the northern hemisphere), 500 Lacaune ewes were divided into four groups. On day 0 (7 Nov), 150 ewes were treated with a melatonin (M) implant. From that group, 64 ewes (M + 1PGF group) were injected with 10-mg prostaglandin (PG) F2α 34 d after melatonin implantation (11 Dec). The remaining 86 ewes (M group) were treated with melatonin, only. Another group of 75 ewes (2PGF group) was treated with double injection of PGF2α (9 days between the first and second application) (2 and 11 Dec), and 75 non-treated ewes (C group) were the control group. The remaining 200 ewes of the flock were not considered in the study. Rams (n = 23) were introduced on 11 Dec. The percentage of prolificacy, lambing and fecundity rates were calculated. Lambing rate did not differ among groups (M: 79%; M + 1PGF: 78%; 2PGF: 69%; C: 71%). The M + 1PGF group had a higher % of prolificacy than the 2PGF group (P < 0.10) and the C group (P = 0.06) (M: 1.65 ± 0.07; M + 1PGF: 1.74 ± 0.09; 2PGF: 1.54 ± 0.08; C: 1.54 ± 0.07 lambs/lambing) (P < 0.05), and a higher fecundity than the 2PGF group (P < 0.05) and the C group (P < 0.10) (M: 1.30 ± 0.09; M + 1PGF: 1.36 ± 0.11; 2PGF: 1.07 ± 0.10; C: 1.08 ± 0.09 lambs/ewe). Ewes implanted with melatonin had significantly higher prolificacy (1.69 ± 0.06 lambs/lambing) (P < 0.05) and fecundity (1.33 ± 0.07 lambs/ewe) (P = 0.01) than did ewes that did not receive melatonin (1.54 ± 0.04 and 1.08 ± 0.04, resp.). In conclusion, melatonin implants increased the number of lambs born per ewe in a late-autumn mating season, and the effect was greatest if it was given in combination with PGF2α administration at ram introduction.
Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study
Authors: Teh Kevin , Armitage Paul , Tesfaye Solomon , Selvarajah Dinesh 
Published: August 2022

AbstractFunctional magnetic resonance imaging (fMRI) has been shown successfully to assess and stratify patients with painful diabetic peripheral neuropathy (pDPN). This supports the idea of using neuroimaging as a mechanism-based technique to individualise therapy for patients with painful DPN. The aim of this study was to use deep learning to predict treatment response in patients with pDPN using resting state functional imaging (rs-fMRI). We divided 43 painful pDPN patients into responders and non-responders to lidocaine treatment (responders n = 29 and non-responders n = 14). We used rs-fMRI to extract functional connectivity features, using group independent component analysis (gICA), and performed automated treatment response deep learning classification with three-dimensional convolutional neural networks (3D-CNN). Using gICA we achieved an area under the receiver operating characteristic curve (AUC) of 96.60% and F1-Score of 95% in a ten-fold cross validation (CV) experiment using our described 3D-CNN algorithm. To our knowledge, this is the first study utilising deep learning methods to classify treatment response in pDPN.
Evaluation of instantaneous vibration parameters of a snowboard with a prototype granular dissipator
Authors: Bajkowski Jacek M. , Dyniewicz Bartłomiej , Bajer Czesław I. , Bajkowski Jerzy 
Published: August 2022

AbstractA container partially filled with loose plastic granules was attached to the shovel of the snowboard to suppress large-amplitude lateral vibrations by dissipating energy through non-conservative multi-granule interactions. A custom laboratory stand allowed to evaluate the performance using a full-scale snowboard deck. The response of the system with a prototype granular dissipator was measured for free lateral vibrations of the initially deflected board and under prescribed sinusoidal base motion. The damping characteristics for different fill ratios of the container were obtained using a direct method of nonparametric identification. The applied Hilbert–Huang transform-based vibration analysis method gave more insight into the board’s damping performance than the logarithmic decrement analysis. The results show that using the granular dissipator with a predestined number of granules increases the damping capacity at large amplitudes but is less effective at small amplitudes. At best, the damping factor was 70% higher when the granular dissipator was used than when the board was damped only intrinsically.