bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scalable Task Allocation with Communications Connectivity for Flying Ad-Hoc Networks
Authors: Leong Wai Lun , Cao Jiawei , Teo Rodney 
Published: February 2024

AbstractTask allocation enables heterogeneous agents to execute heterogeneous tasks in the domain of unmanned aerial vehicles, while responding to dynamic changes in the environment and available resources to complete complex, multi-objective missions, leading to swarm intelligence. We propose a bio-inspired approach using digital pheromones to perform scalable task allocation when the number of agents, tasks, and the diameter of the communications graph increase. The resulting emergent behaviour also enables idle agents in the swarm to provide periodic or continuous connectivity between disconnected parts of the swarm. We validate our results through simulation and demonstrate the feasibility of our approach by applying it to the 3D coverage and patrol problem.
Re-exploring the antecedents of proactivity at work
Authors: Hawthorne Bruce N. 
Published: February 2024

AbstractThis paper reports two studies that utilized full structural equation modeling to explore the antecedents of proactivity at work. It was motivated by observations from a recent replication of a leading proactivity model, Parker et al. (J Appl Psychol 91(3):636–652, 2006. https://doi.org/10.1037/0021-9010.91.3.636) in which the replication model failed to confirm multiple previously reported variable relationships and manifested significant evidence of omitted variable bias (correlation between exogenous predictor variables and the disturbance term of the model’s dependent variable). Study 1 revisited the antecedents of proactivity in light of the unexpected replication model results. Utilizing the same diverse dataset (N = 521), it analyzed the relationships among all of the original model variables, together with a new contextual information availability variable, and constructed a new model (the “Modified Model”) consisting of the path relationships that were observed as statistically significant. The Modified Model differs from the original model in multiple respects: (i) it removes four of eight original variable path relationships, which could not be replicated as statistically significant, (ii) it removes a posited proactivity antecedent, flexible role orientation, whose path relationship with its predictor, co-worker trust, was observed as significant, but negative, (iii) it adds a direct path relationship between proactive personality and proactivity at work, (iv) it respecifies co-worker trust from an exogenous to an endogenous proactivity antecedent of proactivity at work, and (v) it specifies CI availability as new exogenous antecedent of co-worker trust. The Modified Model achieved good model fit and high explained variance (R2 = 0.64). In addition, the Modified Model did not manifest the evidence of omitted variable bias that was observed for the original model utilizing the same dataset. Study 2 was undertaken to cross-verify both of the prior studies using a fresh dataset (N = 479), and both prior studies were confirmed. Re-replication of the Parker et al. (J Appl Psychol 91(3):636–652, 2006. https://doi.org/10.1037/0021-9010.91.3.636) model again manifested evidence of omitted variable bias and provided evidence that corresponded with the results of the initial replication—significant differences from the observations reported by the original study. On the other hand, replication of the Modified Model again manifested no evidence of omitted variable bias, and resulted in observations that confirmed the Study1 observations used to construct the Modified Model. Taken together, Studies 1 and 2 provide evidence of the overall validity of the Modified Model of the antecedents of proactivity at work.
Xylodon lanatus complex and other additions to Xylodon
Authors: Yurchenko Eugene , Riebesehl Janett , Viner Ilya , Motato-Vásquez Viviana , Miettinen Otto 
Published: February 2024

AbstractXylodon lanatus and closely related species were studied with molecular and morphological means. This species complex contains six species, two of which we describe as new. Species in the complex have minutely odontioid hymenophore projections that consist of encrusted, firm-walled hyphae and ellipsoid spores. We assign an epitype for X. lanatus, for which ITS and 28S rDNA sequences were obtained, and amend the concept of X. pseudolanatus. The two new species, both well supported in our phylogenetic analyses, are X. afromontanus, found in Eastern Africa, and X. mantiqueirensis, found in southeastern Brazil. We show the phylogenetic affinity of X. echinatus with X. lanatus for the first time, and according to new data the range of the previous species extends to Sunda Archipelago. We provide scanning electron microscopy illustrations of the crystalline deposits on projecting hyphae for the above-mentioned species. The sixth member of the complex is X. kunmingensis. Outside the X. lanatus complex, we report additional sequenced specimens of X. hyphodontinus. A new species, X. neotropicus from South America, related to X. hyphodontinus, is described. We also describe X. gloeocystidiifer from Ecuador as new species. It is characterised by globose/broadly ellipsoid spores, gloeocystidia and capitate cystidia with a resinous cap. The heterotypic names Hyphodontia yunnanensis and Xylodon yunnanensis are considered. We suggest the previous one is a synonym of the latter.
Luzide Trauminduktion mittels Wake-up-back-to-bed stand-alone im Home-Setting: ein Onlineversuch
Authors: Klofat Beate , Steingen Ulrich , Abrantes Vanessa Henriques , Metz Celvin , Pabst Katharina Lea , Palme Johannes Justus 
Published: February 2024

Zusammenfassung
Hintergrund
Luzide Träume (LD) sind mit verschiedenen Techniken induzierbar, jedoch nicht zuverlässig. Erfolg versprechend sind Methoden, die mit Wake-up-back-to-bed (WBTB), d. h. einer Schlafunterbrechung kombiniert werden. Studien konzentrieren sich auf Schlaflaborsettings und erfahrene luzide Träumer. Wake-up-back-to-bed wurde noch nicht alleinstehend und in natürlicher Schlafumgebung untersucht.

Zielsetzung
Es sollte erprobt werden, ob WBTB stand-alone (SA) im Home-Setting umsetzbar und zur LD-Induktion geeignet ist.

Methoden
Um die Effektivität von WBTB-SA ohne Erwartungs‑/Kombinationseffekte zu erfassen, wurde es ohne Hinweise auf LD eingesetzt. Hierzu wurden für ein Onlineexperiment 153 v. a. studentische Probanden (Pbn) rekrutiert. Das Protokoll sah eine Weckzeit nach 5 h mit 30 min Schlafunterbrechung vor, während der ein detailreicher Text für eine Gedächtnisaufgabe zu lesen war. Am Morgen wurden Daten zu Protokolladhärenz, Schlaf, Träumen, LD-Vorerfahrung und LD in der Nacht erhoben.

Ergebnisse
Von den Pbn hatten 63 % Vorerfahrung mit LD, 5 % träumten in der Studiennacht luzide, alle 8 LD-vorerfahren. Einer nutzte eine weitere Induktionstechnik, einer war vor dem WBTB luzide. Zehn Pbn (7 %), davon 3 unerfahren, waren unsicher, ob sie luzid geträumt hatten. Die sichere LD-Rate lag bei 6/138 = 4,3 % in der WBTB-Nacht.
Für Binomialtests wurden individuelle Vorerfahrungsraten zum Vergleich herangezogen. Eine erwartete LD-Spontanrate von 2,5–4,3 % ergab keinen signifikanten Effekt von WBTB-SA. Ein Steigerungseffekt auf die Traumerinnerungsrate (DRF) konnte hingegen belegt werden. Als Nebenwirkung zeigten sich (Wieder‑)Einschlafstörungen.

Diskussion
Wake-up-back-to-bed stand-alone ist im häuslichen Schlafumfeld anwendbar. Offen bleibt, ob damit LD induzierbar sind und ob dies allein über die Steigerung der DRF geschieht.
RPN1 promotes the proliferation and invasion of breast cancer cells by activating the PI3K/AKT/mTOR signaling pathway
Authors: Shen Wei-juan , Zhang Yi 
Published: February 2024

AbstractRibophorin I (RPN1), a part of an N-oligosaccharyl-transferase complex, plays a vital role in the development of multiple cancers. However, its biological role in breast cancer has not been completely clarified. The RPN1 expression level was measured in breast cancer tissues and breast cancer cell lines (MCF7) using RT-qPCR. After down-regulating RPN1 expression by shRNA, the effects of RPN1 on the proliferation, migration and invasion of MCF7 cells were examined. Mechanistically, we assessed the effect of RPN1 on the PI3K/ AKT/mTOR signaling pathway. We found that RPN1 level was up-regulated in breast cancer tissues and cells compared with adjacent non-tumor tissues or MCF10A cells. RPN1 knockdown induced apoptosis and attenuated the proliferation, migration, and invasion of MCF7 cells. Moreover, RPN1 knockdown lowered the levels of p-PI3K/PI3K, p-AKT/AKT, and p-mTOR/mTOR, which were rescued by 740Y-P, a PI3K activator. 740Y-P also reversed the effects of RPN1 knockdown on apoptosis, proliferation, migration, and invasion in MCF7 cells. Taken together, RPN1 promotes the proliferation, migration, and invasion of breast cancer cells via the PI3K/AKT/mTOR signaling pathway.
Human Extinction and AI: What We Can Learn from the Ultimate Threat
Authors: Lavazza Andrea , Vilaça Murilo 
Published: February 2024

AbstractHuman extinction is something generally deemed as undesirable, although some scholars view it as a potential solution to the problems of the Earth since it would reduce the moral evil and the suffering that are brought about by humans. We contend that humans collectively have absolute intrinsic value as sentient, conscious and rational entities, and we should preserve them from extinction. However, severe threats, such as climate change and incurable viruses, might push humanity to the brink of extinction. Should that occur, it might be useful to envision a successor to humans able to preserve and hand down its value. One option would be to resort to humanoid robots that reproduce our salient characteristics by imitation, thanks to AI powered by machine learning. However, the question would arise of how to select the characteristics needed for our successors to thrive. This could prove to be particularly challenging. A way out might come from an algorithm entrusted with this choice. In fact, an algorithmic selection both at the social and at the individual level could be a preferred choice than other traditional ways of making decisions. In this sense, reflecting on human extinction helps us to identify solutions that are also suitable for the problems we face today.
Influenza vaccination patterns among at-risk patients during the Covid-19 pandemic—a retrospective cross-sectional study based on claims data
Authors: Plate Andreas , Bagnoud Christophe , Rosemann Thomas , Senn Oliver , Di Gangi Stefania 
Published: February 2024

Abstract
Purpose
The Covid-19 pandemic may have encouraged at-risk patients to get vaccinated against influenza for the first time. As previous vaccinations are known predictors for further vaccinations, knowledge about individual vaccination patterns, especially in first time vaccinated patients, is of great interest. The aim of this study was to determine influenza vaccination uptake rate (VUR), individual vaccination patterns and factors associated with vaccination uptake among at-risk patients.

Methods
The study design was retrospective cross-sectional. Based on claims data, VUR was determined for four influenza seasons (2018/2019—2021/2022). In a cohort subgroup, with data available for all seasons, VUR, vaccination patterns and factors associated with uptake were determined. At-risk patients were people aged ≥ 65 and adult patients with chronic diseases.

Results
We included n = 238,461 patients in the cross-sectional analysis. Overall VUR ranged between 21.8% (2018/2019) and 29.1% (2020/2021). Cohort subgroup consisted of n = 138,526 patients. Within the cohort, 56% were never vaccinated and 11% were vaccinated in all seasons. 14.3% of previously unvaccinated patients were vaccinated for the first time in the first pandemic season (2020/2021 season). The strongest predictor for vaccination was history of vaccinations in all previous seasons (OR 56.20, 95%CI 53.62–58.90, p < 0.001).

Conclusion
Influenza VUR increased during the Covid-19 pandemic, but only a minority of previously eligible but unvaccinated at-risk patients were vaccinated for the first time in the first pandemic season. Previous vaccinations are predictors for subsequent vaccinations and health care professionals should actively address at-risk patients’ vaccination history in order to recommend vaccination in future seasons.
The Past, Present and Future of EU Copyright Flexibilities
Authors: Sganga Caterina 
Published: February 2024

AbstractBuilding on a wealth of studies on the strengths and pitfalls of EU harmonisation in the field of copyright exceptions and limitations, and on the state of the art of the copyright balance across the Union, the H2020 projectreCreating Europeperformed an unprecedented comparative mapping of EU and national legislative acts and case law regulating copyright “flexibilities” (exceptions and limitations; definition of protectable subject-matter; terms of protection; exhaustion; judicial doctrines such as fair balance and the horizontal effects of fundamental rights on copyright law; statutory licensing schemes; paying public domain et al.). On this basis, it produced national and comparative reports, grouped into 12 homogeneous categories of permitted uses. The study aimed at (a) assessing the degree of harmonisation across the EU and the impact of their territoriality and optional nature on the proper functioning of the system; (b) mapping which “uses” and “purposes” are balanced against copyright and with what results, both in the EU and in each Member State; and (c) identifying the regulatory gaps and enablers impacting on the proper functioning of copyright flexibilities across the Union. This article will provide an overview of the background, methodology (Section 2) and main results of the research, sketching the past and present of EU copyright flexibilities (Section 3). On this basis, it will provide general and specific recommendations for future reforms (Section 4).
Highly Elastic, Bioresorbable Polymeric Materials for Stretchable, Transient Electronic Systems
Authors: Shin Jeong-Woong , Kim Dong-Je , Jang Tae-Min , Han Won Bae , Lee Joong Hoon , Ko Gwan-Jin , Yang Seung Min , Rajaram Kaveti , Han Sungkeun , Kang Heeseok , Lim Jun Hyeon , Eom Chan-Hwi , Bandodkar Amay J. , Min Hanul , Hwang Suk-Won 
Published: February 2024

AbstractSubstrates or encapsulants in soft and stretchable formats are key components for transient, bioresorbable electronic systems; however, elastomeric polymers with desired mechanical and biochemical properties are very limited compared to non-transient counterparts. Here, we introduce a bioresorbable elastomer, poly(glycolide-co-ε-caprolactone) (PGCL), that contains excellent material properties including high elongation-at-break (< 1300%), resilience and toughness, and tunable dissolution behaviors. Exploitation of PGCLs as polymer matrices, in combination with conducing polymers, yields stretchable, conductive composites for degradable interconnects, sensors, and actuators, which can reliably function under external strains. Integration of device components with wireless modules demonstrates elastic, transient electronic suture system with on-demand drug delivery for rapid recovery of post-surgical wounds in soft, time-dynamic tissues.
Molecular Mechanisms of Intracellular Delivery of Nanoparticles Monitored by an Enzyme-Induced Proximity Labeling
Authors: Ren Junji , Zhang Zibin , Geng Shuo , Cheng Yuxi , Han Huize , Fan Zhipu , Dai Wenbing , Zhang Hua , Wang Xueqing , Zhang Qiang , He Bing 
Published: February 2024

AbstractAchieving increasingly finely targeted drug delivery to organs, tissues, cells, and even to intracellular biomacromolecules is one of the core goals of nanomedicines. As the delivery destination is refined to cellular and subcellular targets, it is essential to explore the delivery of nanomedicines at the molecular level. However, due to the lack of technical methods, the molecular mechanism of the intracellular delivery of nanomedicines remains unclear to date. Here, we develop an enzyme-induced proximity labeling technology in nanoparticles (nano-EPL) for the real-time monitoring of proteins that interact with intracellular nanomedicines. Poly(lactic-co-glycolic acid) nanoparticles coupled with horseradish peroxidase (HRP) were fabricated as a model (HRP(+)-PNPs) to evaluate the molecular mechanism of nano delivery in macrophages. By adding the labeling probe biotin-phenol and the catalytic substrate H2O2 at different time points in cellular delivery, nano-EPL technology was validated for the real-time in situ labeling of proteins interacting with nanoparticles. Nano-EPL achieves the dynamic molecular profiling of 740 proteins to map the intracellular delivery of HRP (+)-PNPs in macrophages over time. Based on dynamic clustering analysis of these proteins, we further discovered that different organelles, including endosomes, lysosomes, the endoplasmic reticulum, and the Golgi apparatus, are involved in delivery with distinct participation timelines. More importantly, the engagement of these organelles differentially affects the drug delivery efficiency, reflecting the spatial–temporal heterogeneity of nano delivery in cells. In summary, these findings highlight a significant methodological advance toward understanding the molecular mechanisms involved in the intracellular delivery of nanomedicines.
Discrete element analysis of hydraulic stimulation in a slate geothermal reservoir using the ubiquitous foliation model
Authors: Weng Meng-Chia , Peng Chia-Hsun , Le Hoang-Khanh , Shiu Wen-Jie , Fang Chih-Hung 
Published: February 2024

AbstractThis study employs the discrete element method for a series of coupled hydro-mechanical analyses aimed at investigating the hydraulic stimulation effect on a slate geothermal reservoir. Initially, a ubiquitous foliation model (UFM) is devised to characterize the mechanical properties of slate. The UFM consists of a foliation model for near-field discontinuity features and a ubiquitous model for far-field anisotropic rock behavior. The devised model undergoes validation through an established benchmark analysis considering isotropic conditions. The analysis is subsequently extended to investigate anisotropic shear response influenced by the foliation. In cases where the anisotropic angle equals 90°, new fractures initiate along the foliation, which leads to a concentrated and severe damage pattern. In contrast, models with the anisotropic angle of 45° and 135° exhibit minor failures due to foliation orientation hindering fracture propagation. Lastly, an anisotropic hydraulic-mechanical analysis is undertaken to assess the hydraulic stimulation influence and its consequential effects on a slate geothermal reservoir. The results indicate that higher injection rates amplify damage to the rock matrix and the propagation of fractures, which are concentrated between open fractures and adjacent foliations.
What Do JNC Youth Workers Conceive of as ‘Professional Maturity’ in Youth Work Practice
Authors: Williams Simon , Richardson Ruth 
Published: February 2024

AbstractThis research set out to take a snapshot of what JNC practitioners in youth and community work defined as ‘Professional Maturity’ and to explore if this notion impacted on practice. To achieve this, the researchers worked with the Institute for youth work, to garner responses from practitioners in the youth work sector via an online questionnaire and an online semi-structured interview. In the inductive phenomenological approach taken to data analysis, some surprising patterns emerged that will require further exploration. The result of these findings has generated an ‘in the moment’ snapshot of ‘Professional Maturity’ for youth work in the shape of a model for practice that will still require critical examination. The data generated and the subsequent analysis highlights six themes: Qualification, Professional Transference, Attributes, Values, Beyond Self, and Chameleon. The key finding of this research has shown that Professional Maturity is an ever-evolving aspect of a youth workers journey rather than a final destination. However, research respondents did appear to have different expectations on what Professional Maturity should look like and how it affects individuals practice across the field.
Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load
Authors: Boban Ammu , Pateriya Preeti , Kumar Yakshansh , Gaur Kshitij , Trivedi Ashutosh 
Published: February 2024

AbstractComputer programming-based numerical programs are firmly established in geotechnical engineering, with rapid growth of finite element modeling and machine learning techniques gaining much attention both in practice and academia. This study is intended to expedite the dissemination of advanced computer applications in terms of finite element simulation and machine learning models by investigating the dynamic response of geomaterials subjected to vibratory loads. Several trial models were built to perform the experimental investigations with a vibratory shaker, signal generator, several accelerometers, a data collection system, and other ancillary devices. The implicit integration techniques in commercialized software were adopted for numerical simulations. After data collection from numerical simulation, models were chosen, trained, and assessed to produce predictions that were then used in this study. Several technologies, including the ensemble boosted tree, squared exponential Gaussian Process Regression (GPR), Matern 5/2 GPR, exponential GPR, and decision tree architectures (fine and medium), were used to forecast the displacement of confined geomaterial. The displacement-depth ratio was found rising to 80% in the frequency range of 5 to 25 Hz, suggesting a considerable change in the behavior of the geomaterial. The Matern 5/2 GPR model showed better accuracy with an R2 value of 0.99, indicating an outstanding predictive ability. The Matern 5/2 GPR and boosted tree models could help better understand the links between displacement and its distribution along the direction of load application. The outcomes of this study based on computer-aided finite element programs can be effectively implemented in machine learning to develop computer programs. In conclusion, the computational machine learning models adopted in this study offer a new insight for uncovering hidden intrinsic laws and creating new knowledge for geotechnical researchers and practitioners.