bluuebunny/crossref_metadata_2025_split huggingface dataset:
A practitioner's guide to meta‐analysis
Authors: Durlak Joseph A. , Lipsey Mark W. 
Published: August 2022

ConclusionMeta‐analysis can be a powerful and useful technique. In the short term, the results of meta‐analysis can increase understanding and influence the future endeavors of researchers interested in a particular field. Over the long term, meta‐analysis provides a vehicle by which large bodies of research can be integrated and focused on public policy issues.Administrative structures currently exist to foster the relationship between research findings and public policy. As one example, Saxe (1986) has described the activities of the Office of Technology Assessment (OTA) established by Congress to provide lawmakers with scientific information in such a way as to be useful for policy decision‐making. OTA is commissioned by Congress to provide assessments of scientific findings, and meta‐analyses are an ideal resource in this regard. Saxe (1986) notes “In almost all cases, the emphasis is on making sense of already collected data, thus literature reviews and methods for synthesizing research results are relied upon” (pp. 61–62).Whether meta‐analysis actually plays an important role in public policy depends on many factors, not the least of which is the care with which meta‐analyses are conducted. Hopefully, our comments here will help investigators conduct methodologically rigorous meta‐analyses of research relevant to the field of community psychology.
Reactions of phosphoric acid in the autoxidation of fats
Authors: Privett O. S. , Quackenbush F. W. 
Published: August 2022

SummaryAt the elevated temperatures used in accelerated stability tests phosphoric acid was shown to react with fatty peroxides in such a manner as to prevent their estimation by the usual iodometric methods. A dark, phosphorus‐containing precipitate formed, which was apparently polymeric in nature.Phosphoric acid also reacted with oxidized fat to form an undisassociated fat‐soluble complex but did not react with fresh unsaturated fatty esters.In addition to the well known sparing action of phosphoric acid ona‐tocopherol, it was shown thata‐tocopherol and quinone also exerted a marked sparing action on the phosphoric acid.
Zoo of holographic moving mirrors
Authors: Akal Ibrahim , Kawamoto Taishi , Ruan Shan-Ming , Takayanagi Tadashi , Wei Zixia 
Published: August 2022

Abstract
We systematically study moving mirror models in two-dimensional conformal field theory (CFT). By focusing on their late-time behavior, we separate the mirror profiles into four classes, named type A (timelike) mirrors, type B (escaping) mirrors, type C (chasing) mirrors, and type D (terminated) mirrors. We analytically explore the characteristic features of the energy flux and entanglement entropy for each type and work out their physical interpretation. Moreover, we construct their gravity duals for which end-of-the-world (EOW) branes play a crucial role. Depending on the mirror type, the profiles of the EOW branes show distinct behaviors. In addition, we also provide a criterion that decides whether the replica method in CFTs computes entanglement entropy or pseudo entropy in moving mirror models.
Evolutions in first-order viscous hydrodynamics
Authors: Bantilan Hans , Bea Yago , Figueras Pau 
Published: August 2022

Abstract
Motivated by the physics of the quark-gluon plasma created in heavy-ion collision experiments, we use holography to study the regime of applicability of various theories of relativistic viscous hydrodynamics. Using the microscopic description provided by holography of a system that relaxes to equilibrium, we obtain initial data with which we perform real-time evolutions in 2+1 dimensional conformal fluids using the first-order viscous relativistic hydrodynamics theory of Bemfica, Disconzi, Noronha and Kovtun (BDNK), BRSSS and ideal hydrodynamics. By initializing the hydrodynamics codes at different times, we can check the constitutive relations and assess the predictive power and accuracy of each of these theories.
Identifying Calcaneal Anatomical Regions of Interest (ROI) for Quantitative Ultrasound Application in Subadults
Authors: Blythe Connor S. , Reynolds Mikaela S. , Gregory Laura S. 
Published: August 2022

AbstractWhilst quantitative ultrasound can be reliably used to assess bone health in adults, the fixed location of the transducers in current devices may result in inaccurate and unreliable measurements in bone assessment in children due to the variation in foot size during growth. To improve positioning for paediatric assessment, Jaworski et al. (1995) created an anatomical method to identify the region of interest (ROI), however, there have been no medical imaging studies to confirm that the Jaworski method results in consistent placement of the transducer on the centre of the calcaneal body to avoid edge artefacts. In this study, computed tomography scans of the tarsus were collected from 498 individuals (258 females; 240 males) aged 2 to 20 years and used to create three novel anatomical methods to identify ROI on the calcaneus using palpable landmarks. In addition, the established Jaworski method was applied to the same scans and compared to our novel methods. The maximum ROI significantly increased with age with males having significantly greater diameters, supporting the recommendation that ½ inch diameter transducers should be used on individuals younger than 7 years of age. We identified that 79% of the ‘Jaworski points’ lied anterosuperior to the ROI centre point identified in this study, with 10% of the points lying outside the ROI. Of the three novel methods, only the calcaneal insertion method demonstrated small measurement variance between individuals of the same age in each sex and is therefore the preferred method for ultrasound clinical application.
Symptoms in women with fibromyalgia after performing physical activity: the role of pain catastrophizing and disease impact
Authors: López-Gómez Irene , Velasco Lilian , Gutiérrez Lorena , Écija Carmen , Catalá Patricia , Peñacoba Cecilia 
Published: August 2022

Abstract

Introduction
Walking is an effective treatment for symptoms’ management in patients with fibromyalgia. However, despite its benefits, fibromyalgia patients face a variety of obstacles that result in reduced ability to sustain physical exercise. The main goal of the study was to analyze the role of pain catastrophizing and fibromyalgia impact in the relationship between regular walking behavior and pain and fatigue experienced after a laboratory walking test.

Method
The study has an observational analytical laboratory design. A total of 100 women were contacted by the research team. Seventy-six women diagnosed with fibromyalgia aged 18 years and older (mean age = 55.05, SD = 7.69) participated.

Results
Significant correlations were found among regular walking behavior, pain catastrophizing, impact of fibromyalgia, pain intensity after walking, and fatigue intensity after walking. The serial multiple mediation analyses confirmed that pain catastrophizing and impact of fibromyalgia mediated the relationship between regular walking behavior and the level of pain (beta B = 0.044, 95% CI = [0.01–0.012]) and fatigue (beta B = 0.028, 95% CI = [0.01–0.08]) after the laboratory walking test. Also, the participants that walked less regularly experienced more pain and fatigue after the 6-Minute Walk Test.

Conclusions
Considering cognitive variables alongside the impact of fibromyalgia will help understand the inhibitors of engaging in physical activity. Therapeutic walking programs must be tailored to patients with fibromyalgia to reduce pain and fatigue related to physical activity and to promote better functioning and quality of life.

Key Points• Regular walking behavior was associated with fibromyalgia impact, pain catastrophizing, and less pain and fatigue after physical activity.• When patients catastrophize pain, they usually interpret physical activity as threatening, which generates more pain and fatigue after doing exercise.• Therapeutic programs should be designed to reduce pain catastrophizing and fibromyalgia impact.
Observing the nature of relationships in male bottlenose dolphins
Authors: Fellner Wendi , Harley Heidi E. , Losch Barbara A. 
Published: August 2022

AbstractAs long-term studies reveal, bottlenose dolphin communities comprise a complex network of individual relationships. Individuals form strong bonds (e.g., mother-calf or male partnerships), transient relationships, and also compete against each other for resources. Evidence of bonded partnerships is typically revealed by the years-long study of associations with repeated sightings. However, quickly determining which individuals have close affiliations would benefit both field researchers working to describe individual behavior as they engage in cognitive activities such as cooperative foraging as well as caregivers in zoos who must decide which individuals should be housed together. Observations in aquariums are well-suited for collecting long-term, detailed information on how pairs interact because subjects can always be found and their behavior both above and below the water can be seen well. These are conditions that are rare for most (but not all) ocean-based studies. We used multiple measures to detect affiliated behavior across several dimensions of pairwise affiliation. Specifically, we used association indices to measure the frequency of affiliative behavior, the symmetry of the partnership, the tenor of interactions, and the stability of which partners were strongly affiliated from year to year. Synchronous behavior and reciprocity in proximity-seeking are two examples of potential markers of an affiliative relationship where individual choices–to join, to move together, and to leave–are visible to observers. We found that the combined measures were effective at identifying one pair that maintained a strong, stable relationship across years, one individual that formed a moderately strong trio relationship with both members of the most-affiliated pair, and one individual who was more variable in his relationships. These social markers provide a means of rapidly identifying bonded males in both aquarium and ocean settings, particularly when long-term knowledge of individual histories is not available.
Quantifying the contribution of fines production during refining to the resulting paper strength
Authors: Mandlez Daniel , Koller Sarah , Eckhart Rene , Kulachenko Artem , Bauer Wolfgang , Hirn Ulrich 
Published: August 2022

AbstractPulp refining is an essential process step prior to paper production. The contribution of fines production during refining to the resulting paper strength so far has mostly been considered qualitatively. A quantitative and experimental evaluation regarding their effect has not yet been published. Unbleached softwood kraft pulp was refined using a PFI mill and a disc refiner at different refining intensities. Prior to handsheet forming, fines were removed in a lab scale pressure screen from one part of the refined and unrefined samples in order to investigate the difference in tensile strength between sheets with and without fines, which were furthermore produced with and without additional wet pressing. It was found, that fines formed in a disc refiner at 250 kWh/t are responsible for up to 25% of the breaking length increase, while the PFI mill at 10,000 revolutions fines only contribute to a maximum of 12%. In terms of fines efficiency, the disc refiner was able to achieve higher results compared to the PFI mill, which however might be attributed to the higher fibre flexibilization in the PFI mill. Thus fines formed in the refining process are of high importance for strength development especially for the disc refiner.
Simplicity conditions for binary orthogonal arrays
Authors: Carlet Claude , Kiss Rebeka , Nagy Gábor P. 
Published: August 2022

AbstractIt is known that correlation-immune (CI) Boolean functions used in the framework of side channel attacks need to have low Hamming weights. The supports of CI functions are (equivalently) simple orthogonal arrays, when their elements are written as rows of an array. The minimum Hamming weight of a CI function is then the same as the minimum number of rows in a simple orthogonal array. In this paper, we use Rao’s Bound to give a sufficient condition on the number of rows, for a binary orthogonal array (OA) to be simple. We apply this result for determining the minimum number of rows in all simple binary orthogonal arrays of strengths 2 and 3; we show that this minimum is the same in such case as for all OA, and we extend this observation to some OA of strengths 4 and 5. This allows us to reply positively, in the case of strengths 2 and 3, to a question raised by the first author and X. Chen on the monotonicity of the minimum Hamming weight of 2-CI Boolean functions, and to partially reply positively to the same question in the case of strengths 4 and 5.
Enabling Fairness in Healthcare Through Machine Learning
Authors: Grote Thomas , Keeling Geoff 
Published: August 2022

AbstractThe use of machine learning systems for decision-support in healthcare may exacerbate health inequalities. However, recent work suggests that algorithms trained on sufficiently diverse datasets could in principle combat health inequalities. One concern about these algorithms is that their performance for patients in traditionally disadvantaged groups exceeds their performance for patients in traditionally advantaged groups. This renders the algorithmic decisions unfair relative to the standard fairness metrics in machine learning. In this paper, we defend the permissible use of affirmative algorithms; that is, algorithms trained on diverse datasets that perform better for traditionally disadvantaged groups. Whilst such algorithmic decisions may be unfair, the fairness of algorithmic decisions is not the appropriate locus of moral evaluation. What matters is the fairness of final decisions, such as diagnoses, resulting from collaboration between clinicians and algorithms. We argue that affirmative algorithms can permissibly be deployed provided the resultant final decisions are fair.
Automated Design Error Debugging of Digital VLSI Circuits
Authors: Moness Mohammed , Gaber Lamya , Hussein Aziza I. , Ali Hanafy M. 
Published: August 2022

AbstractAs the complexity and scope of VLSI designs continue to grow, fault detection processes in the pre-silicon stage have become crucial to guaranteeing reliability in IC design. Most fault detection algorithms can be solved by transforming them into a satisfiability (SAT) problem decipherable by SAT solvers. However, SAT solvers consume significant computational time, as a result of the search space explosion problem. This ever- increasing amount of data can be handled via machine learning techniques known as deep learning algorithms. In this paper, we propose a new approach utilizing deep learning for fault detection (FD) of combinational and sequential circuits in a type of stuck-at-faults. The goal of the proposed semi-supervised FD model is to avoid the search space explosion problem by taking advantage of unsupervised and supervised learning processes. First, the unsupervised learning process attempts to extract underlying concepts of data using Deep sparse autoencoder. Then, the supervised process tends to describe rules of classification that are applied to the reduced features for detecting different stuck-at faults within circuits. The FD model proposes good performance in terms of running time about 187 × compared to other FD algorithm based on SAT solvers. In addition, it is compared to common classical machine learning models such as Decision Tree (DT), Random Forest (RF) and Gradient Boosting (GB) classifiers, in terms of validation accuracy. The results show a maximum validation accuracy of the feature extraction process at 99.93%, using Deep sparse autoencoder for combinational circuits. For sequential circuits, stacked sparse autoencoder presents 99.95% as average validation accuracy. The fault detection process delivers around 99.6% maximum validation accuracy for combinational circuits from ISCAS’85 and 99.8% for sequential circuits from ISCAS’89 benchmarks. Moreover, the proposed FD model has achieved a running time of about 1.7x, compared to DT classifier and around 1.6x, compared to RF classifier and GB machine learning classifiers, in terms of validation accuracy in detecting faults occurred in eight different digital circuits. Furthermore, the proposed model outperforms other FD models, based on Radial Basis Function Network (RBFN), achieving 97.8% maximum validation accuracy.
Inadequate Activation of γδT- and B-cells in Patient with Wiskott-Aldrich Syndrome (WAS) Portrayed by TRG and IGH Repertoire Analyses
Authors: Palevski Dahlia , Simon Amos , Lev Atar , Somech Raz , Lee Yu Nee 
Published: August 2022

Abstract
Patients with Wiskott-Aldrich syndrome (WAS) harbor mutations in the WAS gene and suffer from immunodeficiency, microthrombocytopenia, and eczema. T-cells play an important role in immune response in the skin and the γδT-cells have an important role in skin homeostasis. Since WAS patients often present with eczema, we wanted to examine whether the T-cell receptor gamma (TRG) repertoire of the γδT-cells is affected in these patients. In addition, the immunoglobulin heavy chain (IGH) repertoire from genomic DNA of WAS patients was not yet studied. Thus, we sought to determine the effects that specific WAS mutations from our patients have in shaping the TRG and IGH immune repertoires. We collected clinical and genetic data on four WAS patients, each harboring a different mutation in the WAS gene. Using next-generation sequencing (NGS), we analyzed their TRG and IGH repertoires using genomic DNA isolated from their peripheral blood. We analyzed the TRG and IGH repertoire sequences to show repertoire restriction, clonal expansions, preferential utilization of specific V genes, and unique characteristics of the antigen binding region in WAS patients with eczema compared to healthy controls. Both the TRG and IGH repertoire showed diverse repertoire comparable to healthy controls on one the hand, and on the other hand, the IGH repertoire showed increased diversity, more evenly distributed repertoire and immaturity of the antigen binding region. Thus, we demonstrate by analyzing the repertoire based on genomic DNA, the various effect that WAS mutations have in shaping the TRG and IGH adaptive immune repertoires.
Wavelet-packets for deepfake image analysis and detection
Authors: Wolter Moritz , Blanke Felix , Heese Raoul , Garcke Jochen 
Published: August 2022

AbstractAs neural networks become able to generate realistic artificial images, they have the potential to improve movies, music, video games and make the internet an even more creative and inspiring place. Yet, the latest technology potentially enables new digital ways to lie. In response, the need for a diverse and reliable method toolbox arises to identify artificial images and other content. Previous work primarily relies on pixel-space convolutional neural networks or the Fourier transform. To the best of our knowledge, synthesized fake image analysis and detection methods based on a multi-scale wavelet-packet representation, localized in both space and frequency, have been absent thus far. The wavelet transform conserves spatial information to a degree, allowing us to present a new analysis. Comparing the wavelet coefficients of real and fake images allows interpretation. Significant differences are identified. Additionally, this paper proposes to learn a model for the detection of synthetic images based on the wavelet-packet representation of natural and generated images. Our forensic classifiers exhibit competitive or improved performance at small network sizes, as we demonstrate on the Flickr Faces High Quality, Large-scale Celeb Faces Attributes and Large-scale Scene UNderstanding source identification problems. Furthermore, we study the binary Face Forensics++ (ff++) fake-detection problem.
Moralization and Mismoralization in Public Health
Authors: Kraaijeveld Steven R. , Jamrozik Euzebiusz 
Published: August 2022

AbstractMoralization is a social-psychological process through which morally neutral issues take on moral significance. Often linked to health and disease, moralization may sometimes lead to good outcomes; yet moralization is often detrimental to individuals and to society as a whole. It is therefore important to be able to identify when moralization is inappropriate. In this paper, we offer a systematic normative approach to the evaluation of moralization. We introduce and develop the concept of ‘mismoralization’, which is when moralization is metaethically unjustified. In order to identify mismoralization, we argue that one must engage in metaethical analysis of moralization processes while paying close attention to the relevant facts. We briefly discuss one historical example (tuberculosis) and two contemporary cases related to COVID-19 (infection and vaccination status) that we contend to have been mismoralized in public health. We propose a remedy of de-moralization that begins by identifying mismoralization and that proceeds by neutralizing inapt moral content. De-moralization calls for epistemic and moral humility. It should lead us to pull away from our tendency to moralize—as individuals and as social groups—whenever and wherever moralization is unjustified.
Epistemic solidarity in medicine and healthcare
Authors: Pot Mirjam 
Published: August 2022

AbstractIn this article, I apply the concept of solidarity to collective knowledge practices in healthcare. Generally, solidarity acknowledges that people are dependent on each other in many respects, and it captures those support practices that people engage in out of concern for others in whom they recognise a relevant similarity. Drawing on the rich literature on solidarity in bioethics and beyond, this article specifically discusses the role that epistemic solidarity can play in healthcare. It thus focuses, in particular, on solidarity’s relationship with justice and injustice. In this regard, it is argued (1) that justice and solidarity are two equally important and complementary values that should both be considered in healthcare practices and institutions and (2) that solidarity often arises in unjust situations and can be a means to bring about justice. I transfer these ‘general’ insights about solidarity to knowledge practices in healthcare and link them to the discussion about epistemic injustices in healthcare and how to overcome them. I argue that epistemic solidarity can play an important role in overcoming epistemic injustices as well as—and independently from its contribution to justice—in knowledge production in medicine more generally. To demonstrate how epistemic solidarity can add to our understanding of collective knowledge practices, I discuss two examples: patients sharing their medical data for research purposes and healthcare professionals’ engagement with patients to better understand their afflictions.
A Lanczos-type procedure for tensors
Authors: Cipolla Stefano , Pozza Stefano , Redivo-Zaglia Michela , Van Buggenhout Niel 
Published: August 2022

AbstractThe solution of linear non-autonomous ordinary differential equation systems (also known as the time-ordered exponential) is a computationally challenging problem arising in a variety of applications. In this work, we present and study a new framework for the computation of bilinear forms involving the time-ordered exponential. Such a framework is based on an extension of the non-Hermitian Lanczos algorithm to 4-mode tensors. Detailed results concerning its theoretical properties are presented. Moreover, computational results performed on real-world problems confirm the effectiveness of our approach.