bluuebunny/crossref_metadata_2025_split huggingface dataset:
Familienbildung meets Gesundheitsförderung!?
Authors: Lentz-Becker Anja , Bräutigam Barbara , Müller Matthias 
Published: March 2023

Zusammenfassung
Hintergrund
Familienbildungsangebote unterstützen nicht nur familiale Interessen, sondern dienen auch der Gesundheitsförderung. Aktuelle Elternforschungen zeigen, dass Eltern durch das breite an sie gerichtete Anforderungsspektrum unter Druck geraten und sich belastet fühlen, was wiederum Auswirkungen auf das gesamte familiale Wohlbefinden haben kann. Um stressassoziierten Erkrankungen im Zusammenhang mit Überforderungserleben entgegenzuwirken, brauchen Eltern, wie alle anderen Familienmitglieder auch, günstige Rahmenbedingungen und Ressourcen.

Ziel
Im Rahmen eines Landesmodellprojekts Fachstelle für Familienbildung – ALFA (Alles ist Familie – Familie ist alles) in Mecklenburg-Vorpommern wurden Potenziale und Mechanismen präventiver Familienbildungsangebote untersucht, welche Eltern in ihren Kompetenzen als auch in der Förderung ihrer Gesundheit unterstützen können.

Methode
In leitfadengestützten Gruppeninterviews wurden Teilnehmer:innen von Familienbildungsangeboten im Übergang zur Elternschaft befragt. Die Datenanalyse und Theoriebildung erfolgte nach der Grounded-theory-Methodik, um so Wirkungszusammenhänge tiefergehender zu verstehen.

Ergebnisse
Familienbildungsangebote stärken Er- und Beziehungskompetenzen auf Eltern-Kind-Ebene und fördern ein breites Spektrum an psychischen und sozialen Ressourcen. Familienbildung wirkt präventiv und fördert darüber hinaus salutogenetische Dynamiken durch Anregung psychosozialer Regulationsprozesse. Die von den Nutzer:innen erlernten Fähigkeiten und psychosozialen Ressourcen sind sowohl für die Herstellung eines gelingenden Familienalltages sowie zur Förderung individueller und familialer Gesundheit relevant.

Schlussfolgerung
Die empirischen Ergebnisse unterstreichen, dass es sinnvoll ist, Angebote zur Familienbildung und psychosozialer Gesundheitsförderung trägerübergreifend zu gestalten, da beide Bereiche sich auf die Förderung elterlicher Ressourcen und Gesundheitskompetenzen beziehen. Dabei sind Wirkweisen, Schnittmengen sowie Abgrenzungen in der Gestaltung gesundheits- und familienbezogener Präventionsangebote tiefergehend zu untersuchen.
Robot-assisted general surgery is safe during the learning curve: a 5-year Australian experience
Authors: Nann Silas , Rana Abdul , Karatassas Alex , Eteuati Jimmy , Tonkin Darren , McDonald Christopher 
Published: March 2023

AbstractRobot-assisted general surgery has become increasingly common in the Australian public sector since 2003. It provides significant technical advantages compared to laparoscopic surgery. Currently, it is estimated that the learning curve for surgeons starting off with robotic surgery is complete after 15 cases. This is a retrospective case series, following the progress of four surgeons with minimal robotic experience over 5 years. Patients undergoing colorectal procedures and hernia repairs were included. 303 robotic cases were included in this study, 193 colorectal surgeries and 110 hernia repairs. 20.2% of colorectal patients experienced an adverse event and 10.0% of hernia patients had a complication. The learning curve was correlated to the average docking time, and it was found that this was complete after 2 years, or after a minimum of 12 to 15 cases. Patient length of stay decreases as surgeon experience increases. Robotic surgery is a safe approach to colorectal surgery and hernia repairs with some potential benefits in terms of patient outcomes as surgeon experience increases.
Mercury and artisanal and small-scale gold mining: Review of global use estimates and considerations for promoting mercury-free alternatives
Authors: Keane Susan , Bernaudat Ludovic , Davis Kenneth J. , Stylo Malgorzata , Mutemeri Nellia , Singo Patience , Twala Pontsho , Mutemeri Itai , Nakafeero Anne , Etui Imelda Dossou 
Published: March 2023

AbstractArtisanal and small-scale gold mining (ASGM) is present in over 80 countries, employing about 15 million miners and serving as source of livelihood for millions more. The sector is estimated to be the largest emitter of mercury globally. The Minamata Convention on Mercury seeks to reduce and, where feasible, eliminate mercury use in the ASGM. However, the total quantity of mercury used in ASGM globally is still highly uncertain, and the adoption of mercury-free technologies has been limited. This paper presents an overview of new data, derived from Minamata ASGM National Action Plan submissions, that can contribute to refining estimates of mercury use in ASGM, and then assesses technologies that can support the phase out mercury use in ASGM while increasing gold recovery. The paper concludes with a discussion of social and economic barriers to adoption of these technologies, illustrated by a case study from Uganda.
Radiological and surgical aspects of polymorphous low-grade neuroepithelial tumor of the young (PLNTY)
Authors: Armocida Daniele , Berra Luigi Valentino , Frati Alessandro , Santoro Antonio 
Published: March 2023

Abstract
Background
Polymorphous low-grade neuroepithelial tumor of the young (PLNTY) is a low-grade epilepsy-associated tumor recently introduced in WHO 2021 classification. Since it has been recognized as an independent nosological entity, PLNTY has been mainly studied from a genetic and molecular perspective, not recognizing unique characteristic clinical and radiological features.

Methods
A systematic literature research has been conducted aiming to identify all relevant studies about the radiological, clinical and surgical features of PLNTY. We described a representative case of a 45-year-old man treated with awake-surgery with confirmed diagnosis of PLNTY, reporting the radiological and surgical characteristics through imaging and intra-operative video. We performed a statistical meta-analysis attempting to assess the presence of relationships between surgical and radiologic tumor characteristics and clinical outcome and type of surgery.

Results
A total of 16 studies were included in the systematic review. The final cohort was composed of 51 patients. Extent of resection (EOR) and outcome are not significantly associated with the different genetic profiling (p = 1), the presence of cystic intralesional component, calcification (p = 0.85), contrast-enhancing and lesion boundaries (p = 0.82). No significant correlation there is between EOR and remission or better control of epilepsy-related symptoms (p = 0.38). The contrast enhancement in the tumor is significantly associated with recurrence or poor control of epileptic symptoms (p = 0.07).

Conclusions
In PLNTYs, contrast enhancement seems to impact prognosis, recurrence, and seizure control much more than radiological features, genetic features and type of resection of the tumor.
Selective quantum ensemble learning inspired by improved AdaBoost based on local sample information
Authors: Niu Xufeng , Ma Wenping 
Published: March 2023

AbstractIn ensemble learning, random subspace technology not only easily loses some important features but also easily produces some redundant subspaces, inevitably leading to the decline of ensemble learning performance. In order to overcome the shortcomings, we propose a new selective quantum ensemble learning model inspired by improved AdaBoost based on local sample information (SELA). Firstly, SELA combines information entropy and random subspace to ensure that the important features of the classification task in each subspace are preserved. Then, we select the base classifier that can balance accuracy and diversity among a group of base classifiers generated based on local AdaBoost in each iteration. Finally, we utilize the quantum genetic algorithm to search optimal weights for base learners in the label prediction process. We use UCI datasets to analyze the impact of important parameters in SELA on classification performance and verify that SELA is usually superior to other competitive algorithms.
A co-evolutionary algorithm with elite archive strategy for generating diverse high-quality satellite range schedules
Authors: Xiong Minghui , Xiong Wei , Liu Zheng 
Published: March 2023

AbstractSatellite range scheduling, a multi-constrained combinatorial optimization problem, is crucial to guaranteeing the normal operation and application of onboard satellites. Traditional methods are dedicated to finding one optimal schedule, having ignored the problem may process multiple high-quality schedules. To provide a set of alternative schedules while maintaining the solution quality, we propose a co-evolutionary algorithm with elite archive strategy (COEAS) in this article. In COEAS, two populations are evolved to solve the original and relaxed problem in terms of schedule quality and diversity, respectively. During the evolution, the populations maintain a weak cooperation and only share the information in offspring combination phase. Further, an elite archive strategy is derived to identify and preserve potential stagnated and optimal individuals. In this strategy, the promising individuals would further participate in parent mating and offspring replacement for the dual purpose of maintaining potential optima recovery and fine-tuning the population. The experimental results show that the proposed algorithm is better than comparison algorithms in terms of efficacy (obtaining higher quality schedule), diversity (locating more optimal schedules) and flexibility (providing better alternatives).
Effects of stabilizer magnesium nirate on CMIT/MIT-induced respiratory toxicity
Authors: Song Mi-Kyung , Baek Yong-Wook , Kim Dong Im , Yoon Sung-Hoon , Lee Kyuhong 
Published: March 2023

AbstractDespite a humidifier disinfectant (HD) product containing chloromethylisothiazolinone (CMIT) and methylisothiazolinone (MIT) with approximately 22% magnesium nitrate as a stabilizer, no report on the effects of magnesium nitrate on the respiratory toxicity of CMIT/MIT is available. In this study, Kathon CG and Proclin 200, containing approximately 1.5% CMIT/MIT with different magnesium nitrate concentrations (22.6% and 3%, respectively), were used to compare respiratory effects after intratracheal instillation (ITI) in C57BL/6 mice. C57BL/6 mice were randomized into groups of saline control, magnesium nitrate, Kathon CG, and Proclin 200 with 1.14 mg/kg of CMIT/MIT as the active ingredient, and administration was performed 6 times in a 2–3 day-interval in 2 weeks in all groups. Differential cell count analysis, cytokine analysis, and histological analysis of lung tissue were performed to characterize the injury features. Both Kathon and Proclin 200 induced an increase in inflammatory cell levels in the bronchoalveolar lavage (BAL) fluid, in particular, eosinophils and type 2 T helper cell (Th2)-secreted cytokines. All histopathological changes including granulomatous inflammation, mixed inflammatory cell infiltration, mucous cell hyperplasia, eosinophil infiltration, and pulmonary fibrosis were induced with similar frequency and severity in Kathon CG and Proclin 200 groups. Our results suggested that magnesium nitrate did not affect CMIT/MIT-induced lung injury in the intratracheally instilled model. Further inhalation studies are needed to determine the distribution and toxicity differences of CMIT/MIT in the lungs according to the magnesium nitrate concentration.
The Collapse of Nationalist China
Authors: Coble Parks M. 
Published: March 2023

When World War II ended Chiang Kai-shek seemed at the height of his power-the leader of Nationalist China, one of the victorious Allied Powers in 1945 and with the financial backing of the US. Yet less than four years later, he lost the China's civil war against the communists. Offering an insightful chronological treatment of the years 1944–1949, Parks Coble addresses why Chiang was unable to win the war and control hyperinflation. Using newly available archival sources, he reveals the critical weakness of Chiang's style of governing, the fundamental structural flaws in the Nationalist government, bitter personal rivalries and Chiang's personal lack of interest in finance. This major work of revisionist scholarship will engage all those interested in the shaping of twentieth-century history.
Comparison of RECAT-EU and ICAO wake turbulence category on the Point Merge System
Authors: Demirel S. 
Published: March 2023

AbstractThis study presents a mathematical model that schedules arrival aircraft regarding RECAT-EU that is new categorisation for applying separation minima and analyses its effect on the performance of the Point Merge System (PMS) at Sabiha Gökcen International Airport (LTFJ). There are two main scenarios: one of them uses RECAT-EU and the other employs the ICAO wake turbulence category. Both scenarios have ten different test problems to examine the mathematical model. The model applies RECAT-EU wake turbulence categories and compares the outcome with the ICAO wake turbulence categories. The model aims to minimise flight duration on the sequencing leg and ground delay in the departure queue using the RECAT-EU and ICAO wake turbulence categories individually. The results were analysed to reveal the PMS performance using the two different approaches to turbulence categories. Statistical analysis was also carried out to compare the means of the two groups in the model.
Evaluation of score parameters for severity assessment of surgery and liver cirrhosis in rats
Authors: Krueger Johanne C , Habigt Moriz A , Helmedag Marius J , Uhlig Moritz , Moss Michaela , Bleich André , Tolba René H , Rossaint Rolf , Hein Marc , Mechelinck Mare 
Published: March 2023

Abstract
Severity assessment in animals is an ongoing field of research. In particular, the question of objectifiable and meaningful parameters of score-sheets, as well as their best combination, arise. This retrospective analysis investigates the suitability of a score-sheet for assessing severity and seeks to optimise it for predicting survival in 89 male Sprague Dawley rats (Rattus norvegicus), during an experiment evaluating the influence of liver cirrhosis by bile duct ligation (BDL) on vascular healing. The following five parameters were compared for their predictive power: (i) overall score; (ii) relative weight loss; (iii) general condition score; (iv) spontaneous behaviour score; and (v) the observer’s assessment whether pain might be present. Suitable cut-off values of these individual parameters and the combination of multiple parameters were investigated. A total of ten rats (11.2%; 10/89) died or had to be sacrificed at an early stage due to pre-defined humane endpoints. Neither the overall score nor any individual parameter yielded satisfactory results for predicting survival. Using retrospectively calculated cut-off values and combining the overall score with the observer’s assessment of whether the animal required analgesia (dipyrone) for pain relief resulted in an improved prediction of survival on the second post-operative day. This study demonstrates that combining score parameters was more suitable than using single ones and that experienced human judgement of animals can be useful in addition to objective parameters in the assessment of severity. By optimising the score-sheet and better understanding the burden of the model on rats, this study contributes to animal welfare.
Embedding community-engaged research principles in implementation science: The implementation science center for cancer control equity
Authors: Kruse Gina R. , Lee Rebekka M. , Aschbrenner Kelly A. , Daly James G. , Dargon-Hart Susan , Davies Madeline E. , Gundersen Daniel A. , Pelton-Cairns Leslie , Winickoff Jonathan P. , Taveras Elsie , Emmons Karen M. ,   The ISCCCE Consortium
Published: March 2023

Abstract
Gaps in the implementation of effective interventions impact nearly all cancer prevention and control strategies in the US including Massachusetts. To close these implementation gaps, evidence-based interventions must be rapidly and equitably implemented in settings serving racially, ethnically, socioeconomically, and geographically diverse populations. This paper provides a brief overview of The Implementation Science Center for Cancer Control Equity (ISCCCE) and describes how we have operationalized our commitment to a robust community-engaged center that aims to close these gaps. We describe how ISCCCE is organized and how the principles of community-engaged research are embedded across the center. Principles of community engagement have been operationalized across all components of ISCCCE. We have intentionally integrated these principles throughout all structures and processes and have developed evaluation strategies to assess whether the quality of our partnerships reflects the principles. ISCCCE is a comprehensive community-engaged infrastructure for studying efficient, pragmatic, and equity-focused implementation and adaptation strategies for cancer prevention in historically and currently disadvantaged communities with built-in methods to evaluate the quality of community engagement. This engaged research center is designed to maximize the impact and relevance of implementation research on cancer control in community health centers.
A new measure of inaccuracy for record statistics based on extropy
Authors: Hashempour Majid , Mohammadi Morteza 
Published: March 2023

AbstractWe introduce a new measure of inaccuracy based on extropy between distributions of the nth upper (lower) record value and parent random variable and discuss some properties of it. A characterization problem for the proposed extropy inaccuracy measure has been studied. It is also shown that the defined measure of inaccuracy is invariant under scale but not under location transformation. We characterize certain specific lifetime distribution functions. Nonparametric estimators based on the empirical and kernel methods for the proposed measures are also obtained. The performance of estimators is also discussed using a real dataset.
Phase transitions in biased opinion dynamics with 2-choices rule
Authors: Mukhopadhyay Arpan 
Published: March 2023

AbstractWe consider a model of binary opinion dynamics where one opinion is inherently “superior” than the other, and social agents exhibit a “bias” toward the superior alternative. Specifically, it is assumed that an agent updates its choice to the superior alternative with probability α > 0 irrespective of its current opinion and opinions of other agents. With probability $1-\alpha$, it adopts majority opinion among two randomly sampled neighbors and itself. We are interested in the time it takes for the network to converge to a consensus on the superior alternative. In a complete graph of size n, we show that irrespective of the initial configuration of the network, the average time to reach consensus scales as $\Theta(n\,\log n)$ when the bias parameter α is sufficiently high, that is, $\alpha \gt \alpha_c$ where αc is a threshold parameter that is uniquely characterized. When the bias is low, that is, when $\alpha \in (0,\alpha_c]$, we show that the same rate of convergence can only be achieved if the initial proportion of agents with the superior opinion is above certain threshold $p_c(\alpha)$. If this is not the case, then we show that the network takes $\Omega(\exp(\Theta(n)))$ time on average to reach consensus.
State of broker–dealer leverage and the transmission of monetary policy
Authors: Ahmed M. Iqbal , Cassou Steven P. , Kishan Ruby P. 
Published: March 2023

AbstractThis paper investigates how responses of US macroeconomic activities to monetary policy shocks depend on the state of broker–dealer leverage. The analysis makes use of leverage data to create an indicator series that distinguishes above and below-trend leverage states for the economy which is then integrated into switching econometric models. Using state-dependent local projection methods, we find that during the below-trend leverage state, monetary policy affects the economy in a traditional fashion. However, during the above-trend leverage state, expansionary monetary policy is problematic for stimulating the economy. Additionally, during the above-trend leverage state, we find that a policy rate cut raises counterparty risks in financial markets, which in part accounts for the weaker effectiveness of the monetary policy. These findings are robust to several alternative modeling specifications and suggest that monetary policy authorities should monitor the leverage cycle when determining their policy stance on macroeconomic stability.
The “Commitment Trap” Revisited: Experimental Evidence on Ambiguous Nuclear Threats
Authors: Smetana Michal , Vranka Marek , Rosendorf Ondrej 
Published: March 2023

AbstractIn this paper, we provide an empirical test for the theoretical claim that ambiguous nuclear threats create a “commitment trap” for American leaders: when deterrence fails, supposedly they are more likely to order the use of nuclear weapons to avoid domestic audience costs for backing down. We designed an original survey experiment and fielded it to a sample of 1,000 U.S. citizens. We found no evidence of a commitment trap when ambiguous nuclear threats are made. Unlike explicit threats, ambiguous ones did not generate domestic disapproval when the leader backed down; the decision to employ nuclear weapons led to more public backlash for the leader than being caught bluffing; and the threats did not influence public preference for nuclear use across our scenarios. Our findings contribute to the scholarly literature on nuclear crisis bargaining and policy debates over the future of US declaratory policy.
Environmental and Hydrogeochemical Controls of Spicular Geyserite in Opaline Hot Spring Deposits
Authors: Munoz‐Saez C. , Gong J. , Perez‐Fodich A. , van Zuilen M. A. 
Published: March 2023

AbstractSiliceous spicules are micro‐laminated geyserite deposits, or micro‐stromatolites, found around high temperature hot‐springs and geysers, associated with intermittent splashes of water. Understanding conditions of formation of these structures will give insights of critical parameters involved in prebiotic environments and early life. We provide a new data set around two geysers from the El Tatio hydrothermal field, Atacama Desert, Chile, a modern analogue for habitable environments on early Earth and Mars. Small spicules (<5 mm diameter) dominate in the near vent areas, whereas larger spicules (>5 mm diameter) form complex columnar structures in the distal vent (>0.3 m distance from the vent). Hydrodynamics, eruption periodicity, and environmental conditions modulate the temperature and cooling patterns around vents. During geyser eruptions, the temperature of water reaching the ground decreases with the distance from the vent. Cooling is stronger during the evenings, due to strong winds and cold air temperature. Rapid water cooling drives supersaturation of amorphous silica, and therefore precipitation rates increase significantly with distance from the vent. Cooling also controls changes in the bacterial communities, from thin filaments <1 μm diameter predominating closer to the vent, to 1–2 μm diameter filaments in the distal vent. Changes in the silica precipitation rate and biota may control the growth of spicules and the transition to columns. Estimated precipitation rates of silica provide a first approximation of the longevity of these structures and the timing for the formation of internal laminations. Microlamination will form in year time‐scales closer to the vent, and weeks farther from the vent.