bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intrinsisch photosensitive retinale Ganglienzellen
Authors: Kinder Leonie , Palumaa Teele , Lindner Moritz 
Published: August 2021

Zusammenfassung
Hintergrund
Melanopsin exprimierende, intrinsisch-photosensitive retinale Ganglienzellen (ipRGCs) bilden neben Stäbchen und Zapfen die dritte Klasse von retinalen Photorezeptoren. Diese kleine, heterogene Zellfamilie vermittelt ein weites Spektrum an Aufgaben überwiegend des nicht-bildformenden Sehens.

Fragestellung
Diese Arbeit soll einen Einblick in das aktuelle Verständnis der Funktion und der funktionellen Diversität der ipRGCs geben sowie klinisch und translational relevante Aspekte beleuchten.

Material und Methoden
Narrative Übersichtsarbeit.

Ergebnisse
ipRGCs machen etwa 1–2 % aller retinalen Ganglienzellen aus und bilden dabei 6 spezialisierte Subtypen. Mit ihrem Photopigment Melanopsin sind sie in der Lage, unabhängig von synaptischem Input Lichtinformationen an das Gehirn weiterzuleiten oder lichtabhängig zu modifizieren. Je nach Subtyp vermitteln sie so nichtvisuelle Aufgaben wie die Synchronisation der inneren Uhr oder den Pupillenreflex, greifen aber auch in das bildformende System ein. ipRGCs weisen eine differenzielle Widerstandskraft gegenüber Optikusschädigung auf, was sie zu einem attraktiven Studienobjekt für die Entwicklung neuroprotektiver Therapieansätze macht. Melanopsin rückt zudem als optogenetisches Werkzeug, etwa in der prosthetischen Gentherapie, in den Fokus.

Schlussfolgerungen
Häufige klinische Beobachtungen lassen sich nur mit Kenntnis des ipRGC-Systems verstehen. Ihre neuronale Vernetzung und die intrazelluläre Signalverarbeitung sind Gegenstand aktiver Forschung, die neue translationale Ansätze hervorbringt.
A clinical decision support system in back pain helps to find the diagnosis: a prospective correlation study
Authors: Benditz Achim , Pulido Loreto C. , Grifka Joachim , Ripke Fabian , Jansen Petra 
Published: August 2021

AbstractThe aim of this study is to show the concordance of an app-based decision support system and the diagnosis given by spinal surgeons in cases of back pain. 86 patients took part within 2 months. They were seen by spine surgeons in the daily routine and then completed an app-based questionnaire that also led to a diagnosis independently. The results showed a Cramer’s V = .711 (p < .001), which can be taken as a strong relation between the tool and the diagnosis of the medical doctor. Besides, in 67.4% of the cases, the diagnosis was concordant. An overestimation of the severity of the diagnosis occurred more often than underestimation (15.1% vs. 7%). The app-based tool is a safe tool to support healthcare professionals in back pain diagnosis.
A proposed division of the family Picornaviridae into subfamilies based on phylogenetic relationships and functional genomic organization
Authors: Zell Roland , Knowles Nick J. , Simmonds Peter 
Published: August 2021

AbstractThe highly diverse virus family Picornaviridae presently comprises 68 approved genera with 158 species plus many unassigned viruses. In order to better match picornavirus taxonomy to the functional and genomic groupings between genera, the establishment of five subfamilies (Caphthovirinae, Kodimesavirinae, Ensavirinae, Paavivirinae and Heptrevirinae) is proposed. The subfamilies are defined by phylogenetic analyses of 3CD (precursor of virus-encoded proteinase and polymerase) and P1 (capsid protein precursor) coding sequences and comprise between 7 and 22 currently approved virus genera. Due to the high within-subfamily and between-subfamily divergences of the picornavirus genera, p-distance estimates are unsuited for the demarcation of subfamilies. Members of the proposed subfamilies typically show some commonalities in their genome organisations, including VP1/2A cleavage mechanisms and possession of leader proteins. Other features, such as internal ribosomal entry site types, are more variable within and between members of genera. Some subfamilies are characterised by homology of proteins 1A, 2A, 2B and 3A encoded by members, which do not belong to the canon of orthologous picornavirus proteins. The proposed addition of a subfamily layer to the taxonomy of picornaviruses provides a valuable additional organisational level to the family that acknowledges the existence of higher-level evolutionary groupings of its component genera.
Metal-dependent electrochemical discrimination of DNA quadruplex sequences
Authors: Escher Daniela , Hossain M. Nur , Kraatz Heinz-Bernhard , Müller Jens 
Published: August 2021

AbstractFilms of four different DNA quadruplex-forming (G4) sequences (c-KIT, c-MYC, HTelo, and BCL2) on gold surfaces were investigated by electrochemical impedance spectroscopy (EIS) to evaluate whether they evoke unique electrochemical responses that can be used for their identification. This could render EIS an alternative means for the determination of G4 sequences of unknown structure. Towards, this end, cation-dependent topology changes in the presence of either K+, K+ in combination with Li+, or Pb2+ in the presence of Li+ were first evaluated by circular dichroism (CD) spectroscopy, and electrochemical studies were performed subsequently. As a result, G4-sequence specific charge transfer resistance (RCT) patterns were in fact observed for each G4 sequence, allowing their discrimination by EIS.
Graphic abstract
The factitious/malingering continuum and its burden on public health costs: a review and experience in an Italian neurology setting
Authors: Onofrj Marco , Digiovanni Anna , Ajdinaj Paola , Russo Mirella , Carrarini Claudia , Di Giannantonio Massimo , Martinotti Giovanni , Sensi Stefano L. 
Published: August 2021

AbstractFactitious disorder is classified as one of the five aspects of somatic symptom disorders. The fundamental element of factitious disorder is deception, i.e., pretending to have a medical or psychiatric disorder, but the enactment of deception is considered unconscious. Indeed, volition, i.e., the perception of deliberate deception, is blurred in patients presenting with factitious disorder. In the USA and the UK, factitious disorder has received constant media attention because of its forensic implications and outrageous costs for the National Health Systems. Unfortunately, a comparable level of attention is not present in Italian National Health System or the Italian mass media. The review analyzes the classifications, disorder mechanisms, costs, and medico-legal implications in the hope of raising awareness on this disturbing issue. Moreover, the review depicts 13 exemplification cases, anonymized and fictionalized by expert writers. Finally, our paper also evaluates the National Health System’s expenditures for each patient, outlandish costs in the range between 50,000 and 1 million euros.
PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments
Authors: De Martino Graziella , Pio Gianvito , Ceci Michelangelo 
Published: August 2021

AbstractIn an era characterized by fast technological progress that introduces new unpredictable scenarios every day, working in the law field may appear very difficult, if not supported by the right tools. In this respect, some systems based on Artificial Intelligence methods have been proposed in the literature, to support several tasks in the legal sector. Following this line of research, in this paper we propose a novel method, called PRILJ, that identifies paragraph regularities in legal case judgments, to support legal experts during the redaction of legal documents. Methodologically, PRILJ adopts a two-step approach that first groups documents into clusters, according to their semantic content, and then identifies regularities in the paragraphs for each cluster. Embedding-based methods are adopted to properly represent documents and paragraphs into a semantic numerical feature space, and an Approximated Nearest Neighbor Search method is adopted to efficiently retrieve the most similar paragraphs with respect to the paragraphs of a document under preparation. Our extensive experimental evaluation, performed on a real-world dataset provided by EUR-Lex, proves the effectiveness and the efficiency of the proposed method. In particular, its ability of modeling different topics of legal documents, as well as of capturing the semantics of the textual content, appear very beneficial for the considered task, and make PRILJ very robust to the possible presence of noise in the data.
The Influence of Spiritual Traditions on the Interplay of Subjective and Normative Interpretations of Meaningful Work
Authors: Vu Mai Chi , Burton Nicholas 
Published: August 2021

AbstractThis paper argues that the principles of spiritual traditions provide normative ‘standards of goodness’ within which practitioners evaluate meaningful work. Our comparative study of practitioners in the Buddhist and Quaker traditions provide a fine-grained analysis to illuminate, that meaningfulness is deeply connected to particular tradition-specific philosophical and theological ideas. In the Buddhist tradition, meaningfulness is temporal and rooted in Buddhist principles of non-attachment, impermanence and depending-arising, whereas in the Quaker tradition, the Quaker testimonies and theological ideas frame meaningfulness as eternal. Surprisingly, we find that when faced with unethical choices and clashes between organizational normativity and spiritual normativity, Buddhist practitioners acknowledge the temporal character of meaningfulness and compromise their moral values, whereas in contrast, Quaker practitioners morally disengage from meaningless work. Our study highlights how normative commitments in different spiritual traditions can influence different levels of adaptability in finding work meaningful and stresses the central importance of normative commitments in meaningful work. Our study concludes with practical implications and future pathways for inter-disciplinary research.
Multiple annotation for biodiversity: developing an annotation framework among biology, linguistics and text technology
Authors: Lücking Andy , Driller Christine , Stoeckel Manuel , Abrami Giuseppe , Pachzelt Adrian , Mehler Alexander 
Published: August 2021

AbstractBiodiversity information is contained in countless digitized and unprocessed scholarly texts. Although automated extraction of these data has been gaining momentum for years, there are still innumerable text sources that are poorly accessible and require a more advanced range of methods to extract relevant information. To improve the access to semantic biodiversity information, we have launched the BIOfid project (www.biofid.de) and have developed a portal to access the semantics of German language biodiversity texts, mainly from the 19th and 20th century. However, to make such a portal work, a couple of methods had to be developed or adapted first. In particular, text-technological information extraction methods were needed, which extract the required information from the texts. Such methods draw on machine learning techniques, which in turn are trained by learning data. To this end, among others, we gathered thebiotext corpus, which is a cooperatively built resource, developed by biologists, text technologists, and linguists. A special feature ofbiois its multiple annotation approach, which takes into account both general and biology-specific classifications, and by this means goes beyond previous, typically taxon- or ontology-driven proper name detection. We describe the design decisions and the genuineAnnotation Hub Frameworkunderlying thebioannotations and present agreement results. The tools used to create the annotations are introduced, and the use of the data in the semantic portal is described. Finally, some general lessons, in particular with multiple annotation projects, are drawn.
Surrogate-based Bayesian comparison of computationally expensive models: application to microbially induced calcite precipitation
Authors: Scheurer Stefania , Schäfer Rodrigues Silva Aline , Mohammadi Farid , Hommel Johannes , Oladyshkin Sergey , Flemisch Bernd , Nowak Wolfgang 
Published: August 2021

AbstractGeochemical processes in subsurface reservoirs affected by microbial activity change the material properties of porous media. This is a complex biogeochemical process in subsurface reservoirs that currently contains strong conceptual uncertainty. This means, several modeling approaches describing the biogeochemical process are plausible and modelers face the uncertainty of choosing the most appropriate one. The considered models differ in the underlying hypotheses about the process structure. Once observation data become available, a rigorous Bayesian model selection accompanied by a Bayesian model justifiability analysis could be employed to choose the most appropriate model, i.e. the one that describes the underlying physical processes best in the light of the available data. However, biogeochemical modeling is computationally very demanding because it conceptualizes different phases, biomass dynamics, geochemistry, precipitation and dissolution in porous media. Therefore, the Bayesian framework cannot be based directly on the full computational models as this would require too many expensive model evaluations. To circumvent this problem, we suggest to perform both Bayesian model selection and justifiability analysis after constructing surrogates for the competing biogeochemical models. Here, we will use the arbitrary polynomial chaos expansion. Considering that surrogate representations are only approximations of the analyzed original models, we account for the approximation error in the Bayesian analysis by introducing novel correction factors for the resulting model weights. Thereby, we extend the Bayesian model justifiability analysis and assess model similarities for computationally expensive models. We demonstrate the method on a representative scenario for microbially induced calcite precipitation in a porous medium. Our extension of the justifiability analysis provides a suitable approach for the comparison of computationally demanding models and gives an insight on the necessary amount of data for a reliable model performance.
ANN-MATOPT hybrid algorithm: determination of kinetic and non-kinetic parameters in different reaction mechanisms
Authors: Canedo Alonso M. M. , González Cuadra Jaime , González-Hernández J. L. 
Published: August 2021

AbstractIn this work we have applied the computational methodology based on Artificial Neural Networks (ANN) to the kinetic study of distinct reaction mechanisms to determine different types of parameters. Moreover, the problems of ambiguity or equivalence are analyzed in the set of parameters to determine in different kinetic systems when these parameters are from different natures. The ambiguity in the set of parameters show the possibility of existence of two possible set of parameter values that fit the experimental data. The deterministic analysis is applied to know beforehand if this problem occurs when rate constants of the different stages of the mechanism and the molar absorption coefficients of the species participating in the reaction are obtained together. Through the deterministic analysis we will analyze if a system is identifiable (unique solution or finite number of solutions) or if it is non-identifiable if it possesses infinite solutions. The determination of parameters of different nature can also present problems due to the different magnitude order, so we must analyze in each case the necessity to apply a second method to improve the values obtained through ANN. If necessary, an optimization mathematical method for improving the values of the parameters obtained with ANN will be used. The complete process, ANN and mathematical optimizations constitutes a hybrid algorithm ANN-MATOPT. The procedure will be applied first for the treatment of synthetic data with the purpose of checking the applicability of the method and after, it will be used in the case of experimental kinetic data.
Why Does PSM Lead to Higher Work Stress? Exploring the Role that Organizational Identity Theory has on the Relationship between Public Service Motivation and External-Related Stress among Federal Government Employees
Authors: Bright Leonard 
Published: August 2021

AbstractThis study explored the effects that organizational identity and perceptions of prestige have on the relationship between public service motivation (PSM) and public employees’ concerns regarding external-related work stressors. Using a sample of federal employees, the findings reveal that the relationship PSM has to perceptions of external-related stress were fully mediated by employee’s organizational identity (OI) and perceptions of organizational prestige (POP). Public employees with high levels of PSM were significantly more likely to report having a stronger bond with their organization and more favorable perceptions of outsider views of their organization. The implications of these findings are discussed.
Comparing the use of patient-reported outcomes in clinical studies in Europe in 2008 and 2018: a literature review
Authors: Astrup Guro Lindviksmoen , Rohde Gudrun , Rimehaug Stein Arne , Andersen Marit Helen , Bernklev Tomm , Bjordal Kristin , Falk Ragnhild Sørum , Jørgensen Nina Marie Høyning , Stavem Knut , Tollisen Anita , Amdal Cecilie Delphin ,   on behalf of PROMiNET
Published: August 2021

Abstract
Purpose
Several guidelines for the use of patient-reported outcomes (PROs) in clinical studies have been published in the past decade. This review primarily aimed to compare the number and compliance with selected PRO-specific criteria for reporting of clinical studies in Europe using PROs published in 2008 and 2018. Secondarily, to describe the study designs, PRO instruments used, patient groups studied, and countries where the clinical studies were conducted.

Methods
A literature search was conducted in MEDLINE to identify eligible publications. To assess the number of publications, all abstracts were screened for eligibility by pairs of reviewers. Compliance with PRO-specific criteria and other key characteristics was assessed in a random sample of 150 eligible full-text publications from each year. Randomized controlled trials (RCTs) were assessed according to the full CONSORT-PRO checklist.

Results
The search identified 1692 publications in 2008 and 4290 in 2018. After screening of abstracts, 1240 from 2008 and 2869 from 2018 were clinical studies using PROs. By full-text review, the proportion of studies discussing PRO-specific limitations and implications was higher in 2018 than in 2008, but there were no differences in the other selected PRO-specific criteria. In 2018, a higher proportion of studies were longitudinal/cohort studies, included ≥ 300 patients, and used electronic administration of PRO than in 2008. The most common patient groups studied were those with cancer or diseases of the musculoskeletal system or connective tissue.

Conclusion
The number of clinical studies from Europe using PROs was higher in 2018 than in 2008, but there was little difference in compliance with the PRO-specific criteria. The studies varied in terms of study design and PRO instruments used in both publication years.
Martingale estimation functions for Bessel processes
Authors: Hufnagel Nicole , Woerner Jeannette H. C. 
Published: August 2021

AbstractIn this paper we derive martingale estimating functions for the dimensionality parameter of a Bessel process based on the eigenfunctions of the diffusion operator. Since a Bessel process is non-ergodic and the theory of martingale estimating functions is developed for ergodic diffusions, we use the space-time transformation of the Bessel process and formulate our results for a modified Bessel process. We deduce consistency, asymptotic normality and discuss optimality. It turns out that the martingale estimating function based of the first eigenfunction of the modified Bessel process coincides with the linear martingale estimating function for the Cox Ingersoll Ross process. Furthermore, our results may also be applied to estimating the multiplicity parameter of a one-dimensional Dunkl process and some related polynomial processes.
To Do or To Listen? Student Active Learning vs. the Lecture
Authors: Opdal Pål Anders 
Published: August 2021

AbstractThis paper is a discussion of the concept ‘student active forms of learning’. It aims not at conclusions, but at a perspicuous representation—a map for future navigation and understanding of the concept. From the perspective of philosophy of education, I characterize and discuss issues relating to student active learning in the paper. The context for my discussion is higher education. Further, I contrast student active learning to a form of learning that is allegedly passive, the lecture, which traditionally is the main form of learning in higher education. I proceed by assessing arguments in favor of the two forms by way of a philosophical analysis, a main component of which is transparent exposition. Positive conclusions are not the main concern, but rather to demonstrate possibilities. Still, two results of the discussions in the paper are noteworthy: (1) ‘student active learning’ is a weak construct, it being too general or even contradictory; (2) the lecture is not passive, and astudent-centered education, consequently, should not be construed as a dismissal of lecturing.
Chest CT texture-based radiomics analysis in differentiating COVID-19 from other interstitial pneumonia
Authors: Caruso Damiano , Pucciarelli Francesco , Zerunian Marta , Ganeshan Balaji , De Santis Domenico , Polici Michela , Rucci Carlotta , Polidori Tiziano , Guido Gisella , Bracci Benedetta , Benvenga Antonella , Barbato Luca , Laghi Andrea 
Published: August 2021

Abstract
Purpose
To evaluate the potential role of texture-based radiomics analysis in differentiating Coronavirus Disease-19 (COVID-19) pneumonia from pneumonia of other etiology on Chest CT.

Materials and methods
One hundred and twenty consecutive patients admitted to Emergency Department, from March 8, 2020, to April 25, 2020, with suspicious of COVID-19 that underwent Chest CT, were retrospectively analyzed. All patients presented CT findings indicative for interstitial pneumonia. Sixty patients with positive COVID-19 real-time reverse transcription polymerase chain reaction (RT-PCR) and 60 patients with negative COVID-19 RT-PCR were enrolled.
CT texture analysis (CTTA) was manually performed using dedicated software by two radiologists in consensus and textural features on filtered and unfiltered images were extracted as follows: mean intensity, standard deviation (SD), entropy, mean of positive pixels (MPP), skewness, and kurtosis. Nonparametric Mann–Whitney test assessed CTTA ability to differentiate positive from negative COVID-19 patients. Diagnostic criteria were obtained from receiver operating characteristic (ROC) curves.

Results
Unfiltered CTTA showed lower values of mean intensity, MPP, and kurtosis in COVID-19 positive patients compared to negative patients (p = 0.041, 0.004, and 0.002, respectively). On filtered images, fine and medium texture scales were significant differentiators; fine texture scale being most significant where COVID-19 positive patients had lower SD (p = 0.004) and MPP (p = 0.004) compared to COVID-19 negative patients. A combination of the significant texture features could identify the patients with positive COVID-19 from negative COVID-19 with a sensitivity of 60% and specificity of 80% (p = 0.001).

Conclusions
Preliminary evaluation suggests potential role of CTTA in distinguishing COVID-19 pneumonia from other interstitial pneumonia on Chest CT.