bluuebunny/crossref_metadata_2025_split huggingface dataset:
Einflussfaktoren auf das Einnahmeverhalten von Analgetika bei Patient*innen mit chronischen tumorassoziierten Schmerzen
Authors: Zugaj Marco Richard , Züger Andrea , Keßler Jens 
Published: November 2023

Zusammenfassung
Hintergrund
Patient*innen überleben eine Tumorerkrankung durch die Verbesserung der tumorspezifischen Therapie immer länger. Schmerzen sind ein häufiges Symptom. Goldstandard bei tumorassoziierten chronischen Schmerzen ist die multimodale Therapie. Nonadhärenz verursacht hohe Kosten und bringt unter Umständen Patient*innen in Gefahr.
Ziel dieser Studie war es, das Einnahmeverhalten und die subjektive Therapietreue von Patient*innen mit tumorassoziierten chronischen Schmerzen zu untersuchen. Dabei sollte die Perspektive der Patient*innen im Mittelpunkt stehen. Verschiedenen Medikamentengruppen, wie Nicht-Opioid-Analgetika (NOPA), Opioide, Ko-Analgetika und Cannabinoide, aber auch nichtmedikamentöse Verfahren wurden in die Betrachtung eingeschlossen.

Methode
Im Rahmen eines qualitativen Forschungsansatzes wurden semistrukturierte Leitfadeninterviews mit 10 Patient*innen mit chronischen tumorassoziierten Schmerzen durchgeführt. Das gesprochene Wort wurde aufgenommen und transkribiert. Die Auswertung erfolgte im Sinne einer fokussierten inhaltlich strukturierenden Interviewanalyse nach Kuckartz und Rädiker.

Ergebnisse
Es konnten fünf Hauptkategorien definiert werden. Die zentrale Kategorie anhand der Forschungsfrage bildete das „Adhärenzverhalten aus Patient*innensicht“. Den Rahmen der Untersuchung bildete die Kategorie „Medikamentöse Therapie“. Weitere Hauptkategorien waren: „Krankheitsgeschichte“, „Verhältnis zu den Behandelnden“ und „Einstellungen und Überzeugungen“. Insgesamt wurden weitere 77 Unterkategorien gebildet und interpretiert. Das Adhärenzverhalten aus Patient*innensicht unterschied sich zwischen den verschiedenen Medikamentengruppen. Ein palliatives Setting beeinflusste Therapieentscheidungen und Therapieadhärenz. Die angewendeten Medikamentenschemata waren komplex und dynamisch, gerade auch bei mehreren beteiligten Behandelnden. Weiterhin bestand Unklarheit bei der Anwendung von Cannabinoiden. Nichtmedikamentöse Therapien wurden von den Patient*innen marginalisiert. Aus Sicht der befragten Patient*innen waren es weniger die Behandelnden, die Einfluss auf ihr Adhärenzverhalten nahmen, als vielmehr eigene Erfahrungen, Einstellungen und Überzeugungen

Diskussion
Die Untersuchung bezog ergänzend zu bisheriger Literatur in einem qualitativen Setting alle Medikamentengruppen und auch nichtmedikamentöse Therapien gleichgestellt mit ein. Aus der bisherigen Forschung bekannte Adhärenzfaktoren spiegelten sich auch in der subjektiven Wahrnehmung der Gruppe der Patient*innen mit chronifizierten Schmerzen nach Tumorerkrankungen wider. Eine Marginalisierung nichtmedikamentöser Verfahren könnte damit erklärt werden, dass in der Phase einer Chronifizierung multimodale Therapieansätze zu selten konsequent eingesetzt und kontrolliert werden. Medikamentöse und nichtmedikamentöse Therapien sollten daher noch konsequenter auch bei Patient*innen mit tumorassoziierten Schmerzen gleichberechtigt angewendet werden.
Perspectives of patients with metastatic breast cancer on physical exercise programs: results from a survey in five European countries
Authors: Sweegers Maike G. , Depenbusch Johanna , Kampshoff Caroline S. , Aaronson Neil K. , Hiensch Anouk , Wengström Yvonne , Backman Malin , Gunasekara Nadira , Clauss Dorothea , Pelaez Mireia , Lachowicz Milena , May Anne M. , Steindorf Karen , Stuiver Martijn M. ,   the PERSPECTIVE survey group, Arrieta Haritz , Toribio María Gutiérrez , Santillan María López , Tol Jolien , Malter Wolfram , Puppe Julian 
Published: November 2023

AbstractBackgroundTo successfully implement exercise programs for patients with metastatic breast cancer (MBC), services and patient education should consider patients’ knowledge, preferences, values, and goals. Hence, gaining insight into their perspectives on exercise and exercise programming is important.MethodIn this cross-sectional survey, we recruited patients with MBC from the Netherlands, Germany, Poland, Spain, and Sweden. We collected data on patients’ knowledge and skills about exercise and outcome expectations. We identified barriers to and facilitators of participation in exercise programs, and patients’ preferences for program content and modes of exercise delivery.ResultsA total of 420 patients participated in the survey. Respondents were, on average, 56.5 years old (SD 10.8) and 70% had bone metastases. Sixty-eight percent reported sufficient skills to engage in aerobic exercise, but only 35% did so for resistance exercise. Respondents expected exercise to have multiple physical benefits, but a few patients expected exercise to worsen their pain (5%). Not having access to an exercise program for cancer patients (27%), feeling too tired (23%), and/or weak (23%) were the most often reported barriers. Facilitators for exercising regularly were previous positive physical (72%) and emotional (68%) experiences with exercising, and receiving personalized advice from a physiotherapist or sport/fitness instructor (62%). Patients were most interested in walking and preferred exercising at a public gym, although there were differences by country. Fifty-seven percent did not know whether their insurance company reimburses exercise programs and only 9% would be willing to pay more than €50 per month to participate.ConclusionA large percentage of patients with MBC lack the skills to engage in regular exercise as recommended by exercise guidelines for people with cancer. Patients may benefit from personalized advice and appropriate training facilities to overcome barriers. When implementing exercise interventions, attention should be given to reimbursement and the relatively low willingness-to-pay.
Facile and optimal evaluation model of intelligent waste collection systems based on the Internet of Things: a new approach toward sustainability
Authors: Hezam Ibrahim M. , Gamal Abduallah , Abdel-Basset Mohamed , Sallam Karam 
Published: November 2023

AbstractWaste management is a difficult and complicated issue. Since this waste may constitute a threat to persons and the environment, it is vital to guarantee that it is adequately collected. Therefore, new waste collection technologies that adopt modern technology and the Internet of Things (IoT) are the appropriate alternative. Determining the optimal intelligent technology for waste management and tuning its priorities is a complicated task that requires taking into account the dimensions of environmental, economic, and social sustainability. Thus, this paper introduces a hybrid methodology for multi-criteria decision-making (MCDM) that assesses intelligent waste management technologies utilizing IoT, taking into account multiple criteria. First, eleven decision-making criteria are determined to give a realistic approach. Second, the researchers demonstrated the innovative decision approach established on the combination of the Measurement of Alternatives and Ranking according to the COmpromise Solution (MARCOS) method and the Indifference Threshold-based Attribute Ratio Analysis (ITARA) method, called T2NN-ITARA, under a type-2 neutrosophic numbers (T2NNs) environment. This approach has been used to define the criteria’s relative significance. Also, T2NN-MARCOS approach has been established to evaluate and classify intelligent waste management technologies based on IoT and to reveal the most sustainable solution. An illustrative case study evaluating four intelligent waste management technologies based on IoT is presented to prove the validity of the applied methodology. The findings show that the criteria of sustainability and standardization are the two most influential criteria in the evaluation and classification of intelligent waste management technologies based on IoT. It has also been determined that the RFID and GPRS blend for waste management is the most suitable intelligent technology for garbage management. Sensitivity and comparison analyzes were also accomplished to illustrate the stability, strength, and robustness of the suggested approach. The research provides significant information for government and waste practitioners.
Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems
Authors: Varriale Vincenzo , Cammarano Antonello , Michelino Francesca , Caputo Mauro 
Published: November 2023

AbstractScientific research on emerging technologies underscored the advantages of their implementation within production systems, with a particular focus on artificial intelligence (AI). In particular, the integration of AI with other cutting-edge technologies is a relevant topic which can potentially lead to huge impacts in terms of business performance. Yet, literature on the subject, although rich, is still fragmented, limited to specific cases and applications, but lacking in a comprehensive classification framework. Therefore, using a systematic literature review, this study provides an overview of how the combination of AI and other cutting-edge technologies could potentially improve market and organisational performance in business functions and processes. By classifying the literature of case studies and real-world applications into specific taxonomies, the research considers an indicator, the co-occurrence ratio, highlighting the most significant and emerging combinations between AI and other cutting-edge technologies, also specifying the contexts in which they are used. The study shows that AI is strongly interconnected with other cutting-edge technologies, suggesting a research agenda in which the integration of AI with other emerging technologies is promising within specific production systems contexts, providing benefits and opportunities for companies.
Knot homologies and generalized quiver partition functions
Authors: Ekholm Tobias , Kucharski Piotr , Longhi Pietro 
Published: November 2023

AbstractWe introduce generalized quiver partition functions of a knot K and conjecture a relation to generating functions of symmetrically colored HOMFLY-PT polynomials and corresponding HOMFLY-PT homology Poincaré polynomials. We interpret quiver nodes as certain basic holomorphic disks in the resolved conifold, with boundary on the knot conormal $$L_K$$

L
K

, a positive multiple of a unique closed geodesic, and with their (infinitesimal) boundary linking density measured by the adjacency matrix of the generalized quiver. The basic holomorphic disks that are quiver nodes appear in a certain U(1)-symmetric configuration. We propose an extension of the quiver partition function to arbitrary, not U(1)-symmetric, configurations as a function with values in chain complexes. The chain complex differential is trivial at the U(1)-symmetric configuration, under deformations the complex changes, but its homology remains invariant. We also study recursion relations for the partition functions connected to knot homologies. We show that, after a suitable change of variables, any (generalized) quiver partition function satisfies the recursion relation of a single toric brane in $${\mathbb {C}}^3$$

C

3

.
Being a Direct Realist – Searle, McDowell, and Travis on ‘seeing things as they are’
Authors: Miguens Sofia 
Published: November 2023

AbstractThe aim of the present article is to identify and analyze three particular disputes among current proponents of perceptual realism which may throw light on tensions present in the history of direct realism and current discussions. Starting from John Searle’s conception of direct realism, I first set McDowell and Travis’s approaches in contrast with it. I then further compare Travis’ view with McDowell’s. I claim that differences among the three philosophers are traceable first to methodological conceptions of the approach to perceptual experience (whether philosophical naturalism implies dealing with the sub-personal level), then to what makes for the particularity of a perceptual experience (whether it involves consciousness and a task of unity or not), and finally to what makes for the determinacy of an experience of things in the world (whether such determinacy characterizes the world itself or, as such, involves language and thought).
Mass spectrometry imaging reveals flavor distribution in edible mushrooms
Authors: Vats Mudita , Cillero-Pastor Berta , Flinders Bryn , Cuypers Eva , Heeren Ron M. A. 
Published: November 2023

AbstractThe spatial distribution of molecules and compounds responsible for the flavor profile of edible button mushrooms (Agaricus bisporous) has never been determined. The food industry is interested in knowing the localization of these compounds. Such knowledge would enable extraction of flavor compounds from a particular regions of the mushroom, which is safer for consumption compared to alternatives such as synthetic flavoring agents. The present study utilizes matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI), to determine the spatial distribution of flavor compounds in a mushroom. As MALDI-MSI requires very thin sections, a sample preparation protocol was optimized and sectioning fresh frozen mushrooms at 35 µm thickness was considered the best method to evaluate the distribution of flavor compounds. Further, the effect of heat on the spatial distribution of flavor compounds was investigated by heating whole mushrooms to 140 ℃ prior to sectioning. Heating reduced the water content of the mushroom and thus enabled the generation of even-thinner 17 µm thick sections. MALDI-MSI measurements performed on underivatized and on-tissue derivatized fresh frozen and heat-treated mushroom sections elucidated the spatial distribution of several flavor-related compounds.
Mitochondrial DNA Analysis in Population Isolates: Challenges and Implications for Human Identification
Authors: Connell J. R. , Lea R. A. , Haupt L. M. , Griffiths L. R. 
Published: November 2023

Abstract
Purpose of Review
Mitochondrial DNA (mtDNA) plays an essential role in forensic science, aiding in human identification especially when dealing with degraded DNA samples or cases devoid of paternal family reference samples. Yet, the nuances of isolated populations, shaped by a small number of founders that separate from general populations due to factors such as cultural or geographic differences, and as such, often exhibit very different allele frequencies, pose challenges to its applicability.

Recent Findings
Recent investigations have determined that ignoring the presence of genetic isolates when performing forensic genetic analysis can introduce significant bias into the results ultimately leading to incorrect match probability estimates, increased false positives or false negatives, miscalculation of familial relationships, ethical and legal concerns, loss of public trust, and mistaken convictions or acquittals.

Summary
This paper offers a comprehensive review of the challenges and implications for human identification using mtDNA in isolated populations, focusing on population history and social factors; homogeneity of mtDNA; lack of representation in reference databases; and data interpretation and appropriate statistical methods.
Factors that Influence People’s Beliefs About Men’s and Women’s Jealousy Responses
Authors: Bendixen Mons , Kennair Leif Edward Ottesen 
Published: November 2023

AbstractThis study examines what beliefs people hold about other men’s and women’s reaction to infidelity and how related these beliefs are to one’s own jealousy response and to various socio-cultural influences. This novel approach was examined in a Facebook snowball sample (N = 1213) who responded to three infidelity scenarios regarding what aspect of infidelity (emotional or sexual) they believed would make men and women more jealous and then what aspect would make themselves more jealous. The results suggest that both men and women believed men would be more upset by the sexual aspect of infidelity and that women would be more upset by the emotional aspect (i.e., falling in love). Own jealousy responses in men and women were strongly associated with beliefs about same-sex responses to infidelity and showed moderate association with beliefs about opposite-sex responses. Self-reported perceptions of cues to infidelity and knowledge from various sources about what (1) may be cues to infidelity and (2) may be typical reactions to infidelity were unrelated to beliefs about men’s and women’s jealousy responses and to own jealousy responses. We discuss whether beliefs about men’s and women’s jealousy responses may be culturally transmitted or more likely involve a dual model consisting of (a) reflection of own jealousy responses with (b) some cross-sex insights into jealousy reactions in men and women. The findings suggest that there may be evolved psychological adaptations for jealousy beliefs that extend to others of same and opposite sex.
Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses
Authors: Sun Tianming , Feng Bin , Huo Jinpeng , Xiao Yu , Wang Wengan , Peng Jin , Li Zehua , Du Chengjie , Wang Wenxian , Zou Guisheng , Liu Lei 
Published: November 2023

AbstractThe recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an essential component that bridges the physical world and digital signals, flexible sensors are evolving from a single sensing element to a smarter system, which is capable of highly efficient acquisition, analysis, and even perception of vast, multifaceted data. While challenging from a manual perspective, the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm (machine learning) and the framework (artificial synapses) level. This review presents the recent progress of the emerging AI-driven, intelligent flexible sensing systems. The basic concept of machine learning and artificial synapses are introduced. The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed, which significantly advances the applications such as flexible sensory systems, soft/humanoid robotics, and human activity monitoring. As two of the most profound innovations in the twenty-first century, the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.
Structural Isomers: Small Change with Big Difference in Anion Storage
Authors: Dai Huichao , Chen Yuan , Cao Yueyue , Fu Manli , Guan Linnan , Zhang Guoqun , Gong Lei , Tang Mi , Fan Kun , Wang Chengliang 
Published: November 2023

Abstract
Organic electrode materials are promising for batteries. However, the reported organic electrodes are often facing the challenges of low specific capacity, low voltage, poor rate capability and vague charge storage mechanisms, etc. Isomers are good platform to investigate the charge storage mechanisms and enhance the performance of batteries, which, however, have not been focused in batteries. Herein, two isomers are reported for batteries. As a result, the isomer tetrathiafulvalene (TTF) could store two monovalent anions reversibly, deriving an average discharge voltage of 1.05 V and a specific capacity of 220 mAh g−1 at a current density of 2 C. On the other hand, the other isomer tetrathianaphthalene could only reversibly store one monovalent anion and upon further oxidation, it would undergo an irreversible solid-state molecular rearrangement to TTF. The molecular rearrangement was confirmed by electrochemical performances, X-ray diffraction patterns, nuclear magnetic resonance spectra, and 1H detected heteronuclear multiple bond correlation spectra. These results suggested the small structural change could lead to a big difference in anion storage, and we hope this work will stimulate more attention to the structural design for boosting the performance of organic batteries.
Identity and Justice for Argentinean-Identified Grandchildren: DNA-Testing as a Turning Point
Authors: de Baggis Cecilia , Naharro Magdalena Jiménez , Pallini Susanna 
Published: November 2023

AbstractDuring the Argentinean military dictatorship (1976–1983), 130 children ofdesaparecidos(disappeared) born during their mothers’ captivity and then kidnapped by families close to the military were identified thanks to the efforts of human rights organizations and especially of their grandparents. DNA testing was used for verifying their identity. Based on the principle of the right to identity, if the children refused DNA testing, they were forced against their right to privacy. Ten identified grandchildren were interviewed and transcripts were codified in six categories. All interviewees considered the DNA testing the turning point for their social identity. These observations support the Argentinean legislative orientation.
Zero to k Inflated Poisson Regression Models with Applications
Authors: Saboori Hadi , Doostparast Mahdi 
Published: November 2023

AbstractIn the count data set, the frequency of some points may occur more than expected under the standard data analysis models. Indeed, in many situations, the frequencies of zero and of some other points tend to be higher than those of the Poisson. Adapting existing models for analyzing inflated observations has been studied in the literature. A method for modeling the inflated data is the inflated distribution. In this paper, we extend this inflated distribution. Indeed, if inflations occur in three or more of the support point, then the previous models are not suitable. We propose a model based on zero, one,$$\ldots ,$$…,andkinflated points with probabilities$$w_{0},w_1,\ldots ,$$w0,w1,…,and$$w_{k},$$wk,respectively. By choosing the appropriate values for the weights$$w_{0},\ldots ,w_{k},$$w0,…,wk,various inflated distributions, such as the zero-inflated, zero–one-inflated, and zero–k-inflated distributions, are derived as special cases of the proposed model in this paper. Various illustrative examples and real data sets are analyzed using the obtained results.