bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hinderliche und förderliche Faktoren in der Arbeit mit Menschen mit kognitiven Beeinträchtigungen und herausfordernden Verhaltensweisen
Authors: Myszor Franziska , Reuter Judith Marie , Steinhart Ingmar , Sappok Tanja 
Published: January 2025

Zusammenfassung

Ziel der Studie
Überblick über die spezifischen hinderlichen und förderlichen Faktoren, denen Mitarbeitende begegnen, die mit Menschen mit kognitiven Beeinträchtigungen und herausfordernden Verhaltensweisen arbeiten.

Methodik
Rapid Review im Mai 2023 zu den Schlagworten Kognitive Beeinträchtigung und Herausforderndes Verhalten. Es wurden sowohl quantitative als auch qualitative Studien und Expert:innenberichte eingeschlossen, die der Hauptkategorie Mitarbeitende zugeordnet werden konnten. Die Ergebnisse wurden mittels differenziertem Kategoriensystem extrahiert und tabellarisch sowie auch grafisch dargestellt.

Ergebnisse
Von den insgesamt 38 eingeschlossenen Artikeln waren 25 forschungs- und 13 expert:innenbasiert. Hinderliche und förderliche Faktoren werden systematisch dargestellt bzgl. 1) Interaktion (Team, Leitung, Klient:in, Angehörige), 2) Arbeitsbedingungen und -organisation, 3) Kompetenzen bzw. Qualifikationen der Mitarbeitenden. Handlungssicherheit bringende Elemente wie die gelungene Beziehung und Kommunikation der beteiligten Akteure (Leistungserbringer, -berechtigte und Angehörige) sowie die gesundheitsförderliche Gestaltung der Arbeitsbedingungen und -prozesse konnten als zentrale Wirkfaktoren identifiziert werden.

Schlussfolgerung
Die herausgearbeiteten Faktoren stehen in Zusammenhang mit der Arbeitszufriedenheit, psychischen Gesundheit und Handlungsfähigkeit der Mitarbeitenden und bilden konkrete Handlungsfelder für betriebliche Akteur/-innen aus den Bereichen Leitung und Steuerung, Gesundheitsmanagement und Weiterbildung.
Experimental investigation of the precursor characteristics and early warning of coal burst based on quantitative analysis of acoustic emission signals
Authors: Zhao Xiaoling , Liao Zhiyi , Zhang Xiufeng , Shen Cong , Zhu Jianbo 
Published: January 2025

Abstract
Coal burst is one of the most frequent and destructive dynamic disasters encountered during underground mining engineering. However, the understanding of quantitative precursor characteristics of coal burst is still in its infancy, rendering it difficult to provide effective early warning of disaster. In this study, to quantitatively study precursor characteristics and warning signs of coal burst, the coal burst experiments were carried out on coal-rock combination with a crack. The acoustic emission (AE) technique was employed to quantitatively analyse the precursor information during coal burst process. Testing results indicated that coal burst process is classified into three stages based on evolution in AE energy, i.e., early incubation stage, late incubation stage and occurrence stage. The first significant increase in AE energy could be identified as the beginning of the late incubation stage of coal burst, accompanying by the phenomenon of macro-failure initiation. AE signals during the whole process could be classified as five types according to their dominant frequency and amplitude characteristics, i.e., HF-HA, LF-HA, EHF-LA, HF-LA and LF-LA respectively. The dramatic increase in number proportion of HF-HA and LF-HA signals is highly correlated with occurrence of coal burst. In addition, a comprehensive classification criterion for the coal burst prediction was proposed under a quantitative analysis of three AE parameters, i.e., first energy index (FEI), coal burst risk indicator based on AE energy (CRI

E
) and frequency spectrum (CRI

F−A
). The findings in this study could facilitate accurate coal burst prediction.
Theoretical Framework for Developing a Full Vehicle Hybrid Model to Predict Tire Characteristics Using Receptance Coupling Technique
Authors: Hamedi Behzad , Taheri Saied 
Published: January 2025

Abstract

Purpose
This paper introduces a theoretical framework for developing an effective hybrid model of a full vehicle to predict tire characteristics. The primary goal is to establish a foundation for employing reduced-order modeling techniques for complex dynamic systems.

Methods
The framework emphasizes two structured coupling schemes: multi-step and single-step approaches, expanding upon the concept of coupling two subsystems. These methods aim to decompose intricate dynamic systems into integrated subsystems identified by selected points and a limited number of degrees of freedom at interfaces and internal regions. By combining receptance functions of individual disassembled subsystems using the frequency-based substructuring technique, the response of the coupled dynamic system can be predicted. This structured method utilizes a set of explicit equations governing interactions between subsystems, enabling the integration of both experimental and analytical data sources for frequency response functions (FRFs). The FRF encompasses a comprehensive range of substructure properties, including stiffness, mass, and damping, facilitating the development of reduced-order models and ensuring a simpler, more reliable, and collaborative modeling approach.

Results
The substructuring approach enables the determination of the entire dynamic system receptance matrix and vibrational response based on a minimal number of measurements conducted under decoupled subsystem conditions. This is achieved through a set of explicit equations developed based on compatibility and equilibrium principles at the connection points. Moreover, it provides flexibility to predict the receptance matrix and response at non-accessible points, facilitating the analysis of transferred vibrations through the load path among subsystems compared to traditional methods.

Conclusion
This theoretical framework facilitates the development of modular, hybrid, and reduced-order models for predicting system responses. By integrating independent subsystems and leveraging the combined receptance functions, it enables the creation of effective vehicle dynamic models for performance prediction, target setting, and target cascading during the early stages of development.
Recent progress in tsunami deposit investigations in Taiwan
Authors: Yu Neng-Ti , Yen Jiun-Yee , Chyi Shyh-Jeng , Lu Cheng-Hao , Matsuta Nobuhisa Matta , Yen I-Chin 
Published: January 2025

Abstract
Identifying deposits of modern/historical and prehistorical tsunamis in Taiwan has been successful in the past two decades and has substantially increased the extant tsunami catalogs, which have been limited in the past four centuries due to scarce and ambiguous historical accounts. In this review, the initiation of the investigation is briefly discussed, partly in response to the latest catastrophic tsunamis in the Indo-Pacific and the stimulated public concern in Taiwan. Major developments and results of the investigation include the onset of the first stage before 2010, with findings in Keelung, the eastern coast, and Lanyu Island, and the second/ongoing stage after 2013, with findings in the northern and eastern coasts and Penghu Islands. These findings contributed to validating the debated historical events, expanding the event number and time span of the tsunami catalog, and elaborating on tsunami processes, which collectively enabled the delineation of the recurrence time intervals between events. Limitations, uncertainty, further contributions, and feedback are discussed including insights into the regional western Pacific hazards of tsunamis, earthquakes, and volcanic eruptions; the principles of recognizing tsunami deposits and processes; and the propositions of future studies and hazard mitigations in Taiwan.
Correlates of Early Voting
Authors: Martinez i Coma Ferran , Smith Rodney 
Published: January 2025

AbstractThis article presents and tests a new approach to early voting that pays attention to its institutional, political and demographic determinants. Using Australia's compulsory voting system as our case, we can compare early voting and election-day voting without having to consider the possibility of voter abstention that arises in voluntary voting systems. The research uses aggregate-level data from six national elections (2004 to 2019), as well as individual-level data drawn from Australian Electoral Study surveys of 2016 and 2019. The results show that institutional factors (density of polling places), political factors (level of competition between parties) and socioeconomic factors (age) all contribute to variations in early versus election-day voting. Levels of early voting are affected not simply by the characteristics of individual citizens but also by the institutional and political contexts within which those citizens vote.
Ottomans in the Caucasian Highlands: Recruitment of the Circassians and the Ottoman Mission in Anapa, 1812–1828
Authors: Başıbek Tuna 
Published: January 2025

Abstract
The present article is a study of Ottoman military recruitment attempts of Circassians in the northwestern Caucasus. It examines the process of realizing a Circassian highlander army and the administration of the Anapa fortress during the time of two different fortress commanders. Focusing on the deeds of these two pashas regarding Circassian recruitment and their social background, this study highlights the Ottoman-Circassian relations and the dynamics of loyalty and pragmatism. Specifically, the role of provincial networks in ruling the border fortresses and regional politics in the Eastern Black Sea have been underlined within the context of the Russian-Ottoman rivalry over the Caucasus. Rebutting the importance of the origins of Ottoman officers for Ottoman borderland politics, this study argues that the contribution of provincial notables to the Ottoman civilizing mission and the Circassian army project in the early nineteenth century has been indispensable to the realization of Ottoman establishment in the Caucasus.
Sentience and Beyond—A Representative Interview With Peter Singer AI
Authors: Ghose Sankalpa , Häyry Matti , Singer Peter 
Published: January 2025

Abstract
This interview with Peter Singer AI serves a dual purpose. It is an exploration of certain—utilitarian and related—views on sentience and its ethical implications. It is also an exercise in the emerging interaction between natural and artificial intelligence, presented not as just ethics of AI but perhaps more importantly, as ethics with AI. The one asking the questions—Matti Häyry—is a person, in the contemporary sense of the word, sentient and self-aware, whereas Peter Singer AI is an artificial intelligence persona, created by Sankalpa Ghose, a person, through dialogue with Peter Singer, a person, to programmatically model and incorporate the latter’s writings, presentations, recipes, and character qualities as a renowned philosopher. The interview indicates some subtle differences between natural perspectives and artificial representation, suggesting directions for further development. PSai, as the project is also known, is available to anyone to chat with, anywhere in the world, on almost any topic, in almost any language, at www.petersinger.ai
Patient and caregiver experiences of palliative care co-management in oncology
Authors: Brooks Joanna Veazey , Formagini Taynara , Poague Claire , Sinclair Christian T. , Porter-Williamson Karin 
Published: January 2025

Abstract

Objectives
Historically, patients with cancer were referred to palliative care near the end of life. In recent years, the increased integration of palliative care throughout the entire trajectory of illness has helped patients with cancer better manage their symptoms and improve QOL. However, it is unknown how patients think about the presence and role of earlier, integrated palliative care. This study explored how patients and caregivers experience cancer care in the context of palliative care co-management with oncology.

Methods
We conducted interviews with 18 patients and 13 caregivers to investigate perspectives, attitudes, and experiences surrounding cancer care, specifically with their experiences of co-management with a palliative care outpatient clinic and oncology. Using grounded theory, we identified a typology of patient and caregiver approaches when discussing the care they received and/or desired.

Results
Our data revealed 3 approaches to thinking about palliative care in cancer care. While some participants embraced the “Cure Centrality” approach, caring only about fighting the disease, others adopted a “Quality-of-Life (QOL) Centrality” approach, desiring their health-care team to prioritize a broader range of concerns. A third approach, The “Dual Centrality” approach, espoused values from both approaches.

Significance of results
While co-management of palliative care and oncology is complementary by design, our data suggest that patients and caregivers take a variety of approaches to their copresence. For some patients, palliative care served as an important legitimizing resource for patients desiring expanded priorities in their care (e.g. higher value on QOL and symptom management) and enabling patient-centered care.
E.L. Mascall and the Great Divorce: Human Agency and the Eschaton
Authors: Collister C. P. 
Published: January 2025

AbstractThis article argues that E.L. Mascall develops the eschatology of C.S. Lewis to answer three common critiques of the consensual doctrine of hell. First, Mascall argues that human persons are capable of refusing the love of God because their potential reciprocal love depends on a freedom to give the self, or refuse to do so, in an indissoluble union. Second, the perfection of the new heavens and new earth is not a numerical perfection, and the numerical imperfection of finite creation demonstrates that this is not God’s goal in creation. Third, human nature and Christian revelation reveal that persons are made with the capacity to receive grace and participate in glory, but this reception and participation cannot be coerced. In order to test the plausibility of this position, I present David Bentley Hart’s critique of Lewis’s particularism and Mascall’s answer to such objections.
Glimpses of Hope: Reflections on Journeying with Survivors of Clergy Sexual Abuse
Authors: Williams Mark J. , Zollner Hans 
Published: January 2025

AbstractDrawing on Roman Catholic and ecumenical expertise, this article takes an honest look at the experiences and hopes of those abused. Many in the churches assume that victims seek financial compensation or legal redress. However, research indicates that many victims primarily seek truth and justice as a means of closure and that their struggles with church leadership arise when truth and justice are repeatedly withheld. This makes forgiveness near-impossible and often results in the victim being re-traumatized by the systemic re-abuse they experience. Ultimately, there is no substitute for full and genuine meeting with victims, which requires the church to lay aside its power and authority and engage with humility and proper deference to the victims abused at the hands of the church. Without such openness, the victims cannot move on, and neither can the churches.
Tolerance of Cotton to Herbicide-Coated Fertilizers
Authors: Linn Summer L. , Norsworthy Jason K. , Carvalho-Moore Pamela , Avent Tristen H. , Barber Tom , Roberts Trenton L. , Thrash Ben 
Published: January 2025

Abstract
Cotton producers need residual herbicides that can safely and practically be applied postemergence (POST). Herbicide-coated fertilizers could allow for simultaneous application of residual herbicides and a bulk fertilizer blend. Therefore, a study was conducted in 2022 and 2023 in Fayetteville, AR, to evaluate cotton tolerance to 12 herbicide treatments coated onto a fertilizer blend and applied over cotton. Herbicides and rates evaluated included: diuron at 840 g ai ha-1, florpyrauxifen-benzyl at 29 g ai ha-1, flumioxazin at 105 g ai ha-1, flumioxazin plus pyroxasulfone at 70 + 90 g ai ha-1, fluridone at 168 g ai ha-1, fluometuron at 840 g ai ha-1, fomesafen at 280 g ai ha-1, pyroxasulfone at 128 g ai ha-1, saflufenacil at 66 g ai ha-1, saflufenacil plus dimethenamid-P at 25 + 219 g ai ha-1, saflufenacil plus pyroxasulfone at 44 + 91 g ai ha-1, and S-metolachlor at 1388 g ai ha-1. In both years, fluridone, fluometuron, diuron, and S-metolachlor caused less than 10% injury at 7 d after treatment (DAT). Higher injury levels were observed in 2022 (19 to 30%) compared to 2023 (4 to 12%) for flumioxazin, fomesafen, saflufenacil, saflufenacil plus dimethenamid-P, and saflufenacil plus pyroxasulfone. The elevated injury in one of two years was attributed to the presence of dew when the herbicide-coated fertilizer was applied. The initial injury was transient, as the cotton generally had recovered by 28 DAT for all herbicides. No differences in seed cotton yield or groundcover among the herbicide treatments occurred either year. These results highlight the potential of using several POST-applied, residual herbicides coated on fertilizer that are not currently registered for over-the-top use in cotton.
Rapid detection of acetolactate synthase inhibitor–resistant weeds using novel full-spectrum imaging and a hyperparameter-tuned convolutional neural network
Authors: Estrada Pauline Victoria , Estrada John Benedict , Valdez-Herrera Jennifer , Shrestha Anil 
Published: January 2025

Abstract
Herbicide-resistant weeds are fast becoming a substantial global problem, causing significant crop losses and food insecurity. Late detection of resistant weeds leads to increasing economic losses. Traditionally, genetic sequencing and herbicide dose-response studies are used to detect herbicide-resistant weeds, but these are expensive and slow processes. To address this problem, an artificial intelligence (AI)-based herbicide-resistant weed identifier program (HRIP) was developed to quickly and accurately distinguish common chickweed plants that are resistant to acetolactate synthase (ALS) inhibitor herbicides and those that are susceptible to ALS inhibitors. A regular camera was converted to capture light wavelengths from 300 to 1,100 nm. Full-spectrum images from a 2-yr experiment were used to develop a hyperparameter-tuned convolutional neural network model using a “train from scratch” approach. This novel approach exploits the subtle differences in the spectral signature of ALS inhibitor-resistant and ALS inhibitor-susceptible common chickweed plants as they react differently to the ALS-inhibiting herbicide treatments. The HRIP was able to identify ALS-inhibitor–resistant common chickweed as early as 72 h after treatment at an accuracy of 88%. It has broad applicability due to its ability to distinguish common chickweed plants that are resistant to ALS-inhibitor herbicides from those that are susceptible to becoming resistant to them regardless of the type of ALS herbicide or dose used. Using tools such as the HRIP will allow farmers to make timely interventions to prevent the herbicide-escape plants from completing their life cycle and adding to the weed seedbank.
Form and Function of Floodplain Secondary Channels in a Lowland Meandering River System
Authors: Shukla Tanya , Rhoads Bruce L. 
Published: January 2025

AbstractRelatively little is known about the geomorphological characteristics of floodplain secondary channels and the potential for floodplain flows to mobilize bed material within these channels. This study examines the geomorphological characteristics (channel form, material properties, wood jams) and bed‐material mobilization potential of secondary channels on the floodplain of a meandering river in Illinois, USA. It also compares these attributes to those of the main channel. Results show that secondary channels are at most about one‐third the size of the main channel but also vary in size over distance. Channel dimensions tend to be greatest near the proximal connection of secondary channels to the main channel, suggesting that flow from the main channel is effective in producing scour where it enters secondary channels. The beds of secondary channels consist mainly of mud in contrast to sand and gravel on the bed of the main channel, implying that secondary channels do not convey bed material from the main channel onto the floodplain. Secondary channels connected to the main channel at both ends have more abundant active wood jams than those connected only at the proximal end. Flow from the main channel enters secondary channels at sub‐bankfull stages, but maximum mobilization of cohesive bed material in secondary channels only occurs during flows that exceed the average bankfull stage in the main channel. Overall, secondary channels are active conduits of flow, sediment, and large wood on floodplains and can contribute to floodplain sediment fluxes through entrainment of bed material.
MiRNAs as major players in brain health and disease: current knowledge and future perspectives
Authors: Kapplingattu Sarika V. , Bhattacharya Sujata , Adlakha Yogita K. 
Published: January 2025

Abstract
MicroRNAs are regulators of gene expression and their dysregulation can lead to various diseases. MicroRNA-135 (MiR-135) exhibits brain-specific expression, and performs various functions such as neuronal morphology, neural induction, and synaptic function in the human brain. Dysfunction of miR-135 has been reported in brain tumors, and neurodegenerative and neurodevelopmental disorders. Several reports show downregulation of miR-135 in glioblastoma, indicating its tumor suppressor role in the pathogenesis of brain tumors. In this review, by performing in silico analysis of molecular targets of miR-135, we reveal the significant pathways and processes modulated by miR-135. We summarize the biological significance, roles, and signaling pathways of miRNAs in general, with a focus on miR-135 in different neurological diseases including brain tumors, and neurodegenerative and neurodevelopmental disorders. We also discuss methods, limitations, and potential of glioblastoma organoids in recapitulating disease initiation and progression. We highlight the promising therapeutic potential of miRNAs as antitumor agents for aggressive human brain tumors including glioblastoma.
A roadmap from the bond strength to the grain-boundary energies and macro strength of metals
Authors: Li Xin , Wu Hao , Gao Wang , Jiang Qing 
Published: January 2025

Abstract
Correlating the bond strength with the macro strength of metals is crucial for understanding mechanical properties and designing multi-principal-element alloys (MPEAs). Motivated by the role of grain boundaries in the strength of metals, we introduce a predictive model to determine the grain-boundary energies and strength of metals from the cohesive energy and atomic radius. This scheme originates from the d-band characteristics and broken-bond spirit of tight-binding models, and demonstrates that the repulsive/attractive effects play different roles in the variation of bond strength for different metals. Importantly, our framework not only applies to both pure metals and MPEAs, but also unravels the distinction of the bond strength caused by elemental compositions, lattice structures, high-entropy, and amorphous effects. These findings build a physical picture across bond strength, grain-boundary energies and strength of metals by using easily accessible material properties and provide a robust method for the design of high-strength alloys.