bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and evaluation of smart drugs with integrated functions for identifying and treating oxidative microenvironments associated with cellular ferroptosis
Authors: Zhang Yibo , Cai Rui , Ding Yu , Zhang Jiangye , Ning Changxu , Zeng Jiangcheng , Zhou Zhongxiang , Wang Shisheng , Li Yueqing , Guo Xiuhan 
Published: October 2024

AbstractFerroptosis is a novel form of cell death driven by oxidative damage, and is implicated in various pathological conditions, including neurodegenerative diseases, retinal damage, and ischemia‐reperfusion injury of organs. Inhibiting ferroptosis has shown great promise as a therapeutic strategy for these diseases, underscoring the urgent need to develop effective ferroptosis inhibitors. Although Ferrostatin‐1 (Fer‐1) is a potent ferroptosis inhibitor, its susceptibility to oxidation and metabolic inactivation limits its clinical utility. In this study, the accumulation of peroxides and the resulting oxidative damage in the cellular microenvironment during ferroptosis were utilized to design Ferrostatin‐1 prodrugs with reactive oxygen species‐responsive features. This approach led to the development of a series of ferroptosis inhibitors that were capable of recognizing oxidative damage in diseased areas, allowing for targeted release and improved stability. The novel compounds demonstrated significant inhibitory effects and selectivity against RSL‐3‐induced ferroptosis in HK‐2 cells, with compound a1 exhibiting an EC50 of 15.4 ± 0.7 μM, outperforming Fer‐1. These compounds effectively identify the oxidative microenvironment associated with ferroptosis, enabling the targeted release of Fer‐1, which prevents lipid peroxide accumulation and inhibits ferroptosis. This strategy holds promise for treating diseases related to ferroptosis, offering a targeted and intelligent therapeutic approach.
A NIR light activated self‐reporting carbon dots assembly as phototheranostics for tumor photodynamic therapy
Authors: Zhao Ziyu , Chen Tiejin , Li Jian , Xue Xiaokuang , Ge Jiechao , Wang Pengfei 
Published: October 2024

AbstractPhotodynamic therapy (PDT) has emerged as a promising protocol for cancer therapy. However, real‐time monitoring of PDT progress and accurate determination of the optimal treatment timing remain challenges. In this work, we selected carbon dots (CDs) and new indocyanine green (IR820) as building units to fabricate a smart nanotheranostics (CDs‐IR820 assembly) with the characteristics of controlled release and real‐time imaging to solve the time gap between diagnosis and treatment. The fabricated CDs‐IR820 assembly locked the photosensitivity of the CDs and could degrade under 750 nm laser irradiation to achieve controlled release of the CDs, thus used for cell imaging and producing single oxygen under the white light. Besides, the released CDs could migrate from the mitochondria to the nucleus during the PDT process, indicating the cell activity, which facilitated the regulation of treatment parameters to achieve the precise PDT for cancer.
Performance of self‐compacting alkali‐activated slag concrete‐filled cold‐formed steel tubular stub columns
Authors: Kumar Shivam , Gupta Pramod Kumar , Iqbal Mohd. Ashraf 
Published: October 2024

AbstractThis study comprehensively investigates the self‐compacting alkali‐activated slag concrete‐filled cold‐formed steel tubes (SACFST) stub columns under axial compression. The innovative combination of alkali‐activated slag concrete (AASC) with concrete‐filled steel tubes (CFST) enhances both sustainability and structural performance. AASC, known for its eco‐friendly benefits compared to conventional concrete, was developed using industrial wastes, contributing to green construction practices. Based on Taguchi's L‐9 orthogonal array, nine mixes of self‐compacting alkali‐activated slag concrete (SASC) were developed, achieving impressive flowability exceeding 700 mm and compressive strengths ranging from 48 to 69 MPa. Additionally, split‐tensile strengths between 3.8 and 5.7 MPa, flexural strengths from 6.3 to 8.2 MPa, and a modulus of elasticity between 27.6 and 32.9 GPa were observed. Nine circular CFSTs containing SASC mixes were tested under axial compression, and a finite element model was developed to simulate their results. The experimental results were compared with standards from ACI 318, AIJ‐97, AISC‐360, AS 5100, and EC‐4, to evaluate the accuracy of axial capacity predictions. Among these standards, EC‐4 and AS 5100 provided the closest estimates, with mean PTest/PEC4 and PTest/P5100 ratios of 1.03 and 1.04, respectively, indicating a high level of accuracy. These findings highlight the potential of SACFST in advancing sustainable and resilient construction practices, laying the groundwork for future applications in structural engineering.
How to steer evolution of a system‐of‐systems
Authors: Fendali Mohamed Hichem , Borne Isabelle , Meslati Djamel , Souici‐Meslati Labiba 
Published: October 2024

AbstractThis paper presents a system‐theoretic study of how System‐of‐Systems (SoS) evolution can be steered towards any desirable direction. For practitioners, this is a non‐trivial undertaking because of the potential resistance to change from the independent constituents. In this paper, we highlight this subject as a gap in the literature on SoS evolution, but not only. We review the characteristics of the SoS evolution context to establish that, despite the limitations in visibility and control, a SoS will still exhibit many evolutionary tendencies and dynamics, which can be harnessed for steering its evolution. Based on that, we present a set of six 6 prescriptive heuristics which practitioners can turn to when they need a SoS to move in any desired direction. These heuristics optimize for making the best use of one's available (direct and indirect) leverages. The usefulness and broad applicability of the proposed heuristics are illustrated through case studies of two distinct real‐world SoSs, namely, the Internet and the European Rail Traffic Management System (ERTMS).
Scribbles, Spirographs, and AI, Oh My!: Postdevelopmental Sociomaterial Practices of Graphicality
Authors: Knochel Aaron 
Published: October 2024

AbstractUsing assemblage as a conceptual framework, I articulate the entangled relationality of graphicality when perceived as a postdevelopmental sociomaterial practice outside of developmental stage discourses. Considering multiple practices, from children drawing, to mark making with mechanized drawing machines, and generative artificial intelligence (AI) image platforms, I identify matters of concern that relate these varying practices in graphicality to question our conceptions of graphicality and creative expression. I consider Drawing Together, which is a series of workshops in performing techno-mechanical markmaking, questioning our ethical commitments through material engagement, and speculating on the pedagogical force of these types of techno-aesthetic making. I glean from this analysis an approach to gain perspective on the emerging sociomaterial practices of generative AI in considering issues of access, prompt engineering, and the carbon footprint of AI computing.
Artfully Integrating AI: Proceeding Responsibly With Worker-Centered Best Practices
Authors: Fox Sarah E. , Shorey Samantha 
Published: October 2024

AbstractAI’s “great acceleration” is a vital moment for intervention on behalf of the workers tasked with integrating autonomous systems. In this chapter, we draw on eight months of field research across two sites of essential work newly deploying automation, in order to examine how frontline employees—here, janitorial staff and recycling sorters—take on the supervisory responsibilities and troubleshooting required by emerging technologies. Workers are called to produce this labor on top of existing duties, attuning to the machinery’s regular mistakes and often still performing the original activities meant to be relieved by AI. We argue that a humane future with autonomous technologies cannot be secured through design alone, but requires developing processes of worker-centered integration. We offer a set of recommendations on the installation, evaluation, and maintenance of AI in essential sectors, and reflect on new governance strategies meant to regulate the promotion and use of artificial intelligence within workplaces.
Whose Mental Model? Multi-stakeholder Most Advanced Yet Acceptable (MAYA) Visions of Disruptive Autonomous Maritime Technology
Authors: Rousi Rebekah 
Published: October 2024

AbstractEfforts to develop ship fleets and maritime traffic systems that take advance of artificial intelligence to operate without the direct guidance of humans have been on planning tables for decades. There are many challenges to removing humans from direct operation. Several are bound to human-specific abilities to sense and gauge changing conditions based on years of experience and tacit knowledge that accompanies expertise. It can be argued that the transition to autonomous shipping and maritime piloting may leave traffic vulnerable to the limitations of information technology developers. Moreover, considering initiatives to create disruptive innovation, this chapter argues that perhaps imaginings of an autonomous maritime are not only outdated but misleading and amateur from the perspective of maritime professionalism. This chapter re-positions humans within intelligent maritime developments, arguing that for truly disruptive innovation that exceeds fixated design typicality, designers need to delve into the mental models of maritime experts.
A degree bound for the c-boomerang uniformity of permutation monomials
Authors: Steiner Matthias Johann 
Published: October 2024

AbstractLet $$\mathbb{F}_q$$

F
q

be a finite field of characteristic p. In this paper we prove that the c-Boomerang Uniformity, $$c \ne 0$$

c
≠
0

, for all permutation monomials $$x^d$$

x
d

, where $$d > 1$$

d
>
1

and $$p \not \mid d$$

p
∤
d

, is bounded by $$\left\{ \begin{array}{ll} d^2, & c^2 \ne 1, \\ d \cdot (d - 1), & c = - 1, \\ d \cdot (d - 2), & c = 1 \end{array} \right\} .$$

d
2

,

c
2

≠
1
,

d
·
(
d
-
1
)
,

c
=
-
1
,

d
·
(
d
-
2
)
,

c
=
1

.

Further, we utilize this bound to estimate the c-boomerang uniformity of a large class of generalized triangular dynamical systems, a polynomial-based approach to describe cryptographic permutations of $$\mathbb{F}_{q}^{n}$$

F

q

n

, including the well-known substitution–permutation network.
Validating effectiveness of crown-of-thorns starfish control thresholds to limit coral loss throughout the Great Barrier Reef
Authors: Rogers Jacob G. D. , Plagányi Éva E. , Blamey Laura K. , Desbiens Amelia A. 
Published: October 2024

AbstractPopulation irruptions of the Pacific crown-of-thorns starfish (CoTS, Acanthaster cf. solaris) are a key source of coral loss on Australia’s Great Barrier Reef (GBR). CoTS management currently involves their manual control (culling) to threshold densities below which net coral decline theoretically ceases based on analysis of a validated population dynamics model. Spatial variability in coral growth and community composition, and their predicted changes under continuing global warming, necessitate further consideration of current coral representation in CoTS models. Here, we consider the sensitivity of equilibrium coral-CoTS thresholds to coral growth rates and consider how the demographic composition of CoTS at a site may relate to culling thresholds. We found thresholds should be location-specific if the objective of CoTS control is coral recovery, but location-specific thresholds may not be needed if the objective is to limit coral cover loss based on coral growth and CoTS demography. The consequence of using a higher CPUE threshold than the analytical equilibrium coral-CoTS thresholds in terms of coral cover loss is suggested to be limited at coral cover < 40%, and varying control thresholds thereof may make little difference. Introducing a 0.06 CoTS.min−1 threshold for 40–60% coral cover may reduce coral loss at ~ 40% where it is likely greatest. With regional GBR coral cover averaging < 40%, this study validates the 0.04–0.08 CoTS.min−1 tiered threshold system for CoTS control and suggests methods developed from localised studies can be more broadly applicable and well-defined objectives (e.g. avoiding coral cover decline at a site) can help guide what thresholds are used and the sensitivity around these.
Investigation of iron oxide nanoparticle formation in a spray-flame synthesis process using laser-induced incandescence
Authors: Lang Peter , Kücükmeric Ece , Huber Franz J. T. , Will Stefan 
Published: October 2024

AbstractIn this work, iron-oxide nanoparticle formation in the spray-flame synthesis (SFS) process of the standardized SpraySyn 2.0 burner was investigated in situ using laser-induced incandescence (LII). For the evaluation of these measurements, prior LII-experiments within iron-oxide aerosols (Fe3O4 and α-Fe2O3) with known primary particle size distribution and morphological properties were performed to determine the thermal accommodation coefficient (TAC) α, which led to approx. α = 0.08. The applicability of the TAC results within the flame was validated using spectrally and temporally resolved measurements in the flame at 65 mm HAB employing a spectrograph. Data for a bimodal particle size distribution, obtained from Transmission Electron Microscopy (TEM), were used in the LII-evaluation. The validated TAC was then used to evaluate the primary particle size evolution from in situ Time-Resolved (TiRe) LII-measurements using PMTs along the centre axis of the burner, ranging from 10 mm to 50 mm HAB. These measurements reveal a relatively constant effective particle diameter along HAB with dp,eff ≈ 300 nm. To further investigate particle formation in SFS, 2-dimensional time-resolved LII-measurements in the SFS flame were performed, showing a clear particle formation region up to approx. 30 mm HAB, from where on a constant particle mass is observed.
Deep learning prediction of error and skill in robotic prostatectomy suturing
Authors: Sirajudeen N. , Boal M. , Anastasiou D. , Xu J. , Stoyanov D. , Kelly J. , Collins J. W. , Sridhar A. , Mazomenos E. , Francis N. K. 
Published: October 2024

Abstract
Background
Manual objective assessment of skill and errors in minimally invasive surgery have been validated with correlation to surgical expertise and patient outcomes. However, assessment and error annotation can be subjective and are time-consuming processes, often precluding their use. Recent years have seen the development of artificial intelligence models to work towards automating the process to allow reduction of errors and truly objective assessment. This study aimed to validate surgical skill rating and error annotations in suturing gestures to inform the development and evaluation of AI models.

Methods
SAR-RARP50 open data set was blindly, independently annotated at the gesture level in Robotic-Assisted Radical Prostatectomy (RARP) suturing. Manual objective assessment tools and error annotation methodology, Objective Clinical Human Reliability Analysis (OCHRA), were used as ground truth to train and test vision-based deep learning methods to estimate skill and errors. Analysis included descriptive statistics plus tool validity and reliability.

Results
Fifty-four RARP videos (266 min) were analysed. Strong/excellent inter-rater reliability (range r = 0.70–0.89, p < 0.001) and very strong correlation (r = 0.92, p < 0.001) between objective assessment tools was demonstrated. Skill estimation of OSATS and M-GEARS had a Spearman’s Correlation Coefficient 0.37 and 0.36, respectively, with normalised mean absolute error representing a prediction error of 17.92% (inverted “accuracy” 82.08%) and 20.6% (inverted “accuracy” 79.4%) respectively. The best performing models in error prediction achieved mean absolute precision of 37.14%, area under the curve 65.10% and Macro-F1 58.97%.

Conclusions
This is the first study to employ detailed error detection methodology and deep learning models within real robotic surgical video. This benchmark evaluation of AI models sets a foundation and promising approach for future advancements in automated technical skill assessment.

Graphical abstract
Schutzgüterabwägungen unter dem Einfluss von §2 S. 2 EEG – umfassender Vorrang des Ausbaus erneuerbarer Energien als neues Soll?
Authors: Pernice-Warnke Silvia 
Published: October 2024

ZusammenfassungDer Beitrag beschäftigt sich mit Bedeutung, Anwendungsbereich und Verfassungsmäßigkeit
des durch das Gesetz zu Sofortmaßnahmen für einen beschleunigten Ausbau der erneuerbaren Energien
und weiteren Maßnahmen im Stromsektor aus dem Jahr 2022 eingeführten §2 S. 2 EEG.
Development of an Expert-Based Scoring System for Early Identification of Patients with Inborn Errors of Immunity in Primary Care Settings – the PIDCAP Project
Authors: Rivière Jacques G. , Carot-Sans Gerard , Piera-Jiménez Jordi , de la Torre Sergi ,   PIDCAP expert group, Alsina Laia , Bielsa Masdeu Ana Mª , Bosom Diumenjó Maria , Carbone Javier , Carreras Carmen , Deya-Martínez Angela , Dieli-Crimi Romina , Espiau María , Fernández Pereira Luis , González I. , Juan Manel , LLobet Pilar , Martín-Nalda Andrea , Mendez Maria , Neth Olaf , Ocejo-Vinyals J. Gonzalo , Olbrich Peter , Rodríguez J. C. , Rodríguez-Vigil Iturrate Carmen , Rodrigo Carlos , Santos Pérez Juan Luis , Cos Xavier , Serra-Picamal Xavier , Soler-Palacin Pere 
Published: October 2024

AbstractEarly diagnosis of inborn errors of immunity (IEIs) has been shown to reduce mortality, morbidity, and healthcare costs. The need for early diagnosis has led to the development of computational tools that trigger earlier clinical suspicion by physicians. Primary care professionals serve as the first line for improving early diagnosis. To this end, a computer-based tool (based on extended Jeffrey Modell Foundation (JMF) Warning Signs) was developed to assist physicians with diagnosis decisions for IEIs in the primary care setting. Two expert-guided scoring systems (one pediatric, one adult) were developed. IEI warning signs were identified and a panel of 36 experts reached a consensus on which signs to include and how they should be weighted. The resulting scoring system was tested against a retrospective registry of patients with confirmed IEI using primary care EHRs. A pilot study to assess the feasibility of implementation in primary care was conducted. The scoring system includes 27 warning signs for pediatric patients and 24 for adults, adding additional clinically relevant criteria established by expert consensus to the JMF Warning Signs. Cytopenias, ≥ 2 systemic infections, recurrent fever and bronchiectasis were the leading warning signs in children, as bronchiectasis, autoimmune diseases, cytopenias, and > 3 pneumonias were in adults. The PIDCAP (Primary Immune Deficiency “Centre d’Atenció Primària” that stands for Primary Care Center in Catalan) tool was implemented in the primary care workstation in a pilot area. The expert-based approach has the potential to lessen under-reporting and minimize diagnostic delays of IEIs. It can be seamlessly integrated into clinical primary care workstations.
Graphene Aerogel Composites with Self-Organized Nanowires-Packed Honeycomb Structure for Highly Efficient Electromagnetic Wave Absorption
Authors: You Xiao , Ouyang Huiying , Deng Ruixiang , Zhang Qiuqi , Xing Zhenzhong , Chen Xiaowu , Shan Qingliang , Yang Jinshan , Dong Shaoming 
Published: October 2024

AbstractWith vigorous developments in nanotechnology, the elaborate regulation of microstructure shows attractive potential in the design of electromagnetic wave absorbers. Herein, a hierarchical porous structure and composite heterogeneous interface are constructed successfully to optimize the electromagnetic loss capacity. The macro–micro-synergistic graphene aerogel formed by the ice template‑assisted 3D printing strategy is cut by silicon carbide nanowires (SiCnws) grown in situ, while boron nitride (BN) interfacial structure is introduced on graphene nanoplates. The unique composite structure forces multiple scattering of incident EMWs, ensuring the combined effects of interfacial polarization, conduction networks, and magnetic-dielectric synergy. Therefore, the as-prepared composites present a minimum reflection loss value of − 37.8 dB and a wide effective absorption bandwidth (EAB) of 9.2 GHz (from 8.8 to 18.0 GHz) at 2.5 mm. Besides, relying on the intrinsic high-temperature resistance of SiCnws and BN, the EAB also remains above 5.0 GHz after annealing in air environment at 600 °C for 10 h.
The impact of anger and age on depression
Authors: Han Zhe 
Published: October 2024

Abstract
Object
This study investigates the endogenous factors of trait anger and reactive factors of life events in depression, and examines how anger expression and age influences the mechanism of depression.

Method
Eighty-nine healthy subjects were randomly selected as the reference group, and 115 outpatients with depression formed the control group. Participants completed the Life Events Scale (Selye 1969), the STAXI-2 scale, and the Beck Depression Inventory (BDI).

Results
The analysis revealed that trait anger significantly mediates the relationship between life events and depression in the control group, with a total effect confidence interval of 0.46 (95% CI 0.11, 0.81) and an indirect effect of 0.12, accounting for 26.09% of the relative mediating effect (95% CI 0.04, 0.29).

Conclusion
Trait anger has a significant complete mediating effect on depression with life events as mediators in the control group. Furthermore, anger expression and age significantly moderate the mediating effects of life events on depression.
La crise financière de 2008 et les relations de travail dans le transport aérien : le cas d’Air Canada
Authors: Bourgault Julie , Coutu Michel 
Published: October 2024

RésuméComme tous les grands transporteurs aériens, l’entreprise Air Canada a été très durement frappée par la Grande récession survenue à l’échelle mondiale en 2008. Ses activités et ses revenus ont chuté dramatiquement et, outre des mises à pied et des licenciements collectifs, l’entreprise a cherché à limiter ses coûts de main-d’œuvre en réduisant les avantages des régimes de retraite en vigueur. La présente étude s’inscrit dans le cadre d’une vaste recherche sur la grande entreprise au Canada et le déclin de la citoyenneté au travail. Elle s’intéresse plus particulièrement à l’impact de la crise financière de 2008 sur la dynamique des relations de travail et l’évolution de la citoyenneté au travail chez Air Canada : nous entendons vérifier en particulier si nos hypothèses d’une médiation des interactions entre économie et droit par le politique, d’une part, par les relations industrielles (autonomie collective), d’autre part, se confirment ou non.
Sustainability and SMEs: Opening the black box
Authors: Caputo Andrea , Pizzi Simone , Santini Erica 
Published: October 2024

AbstractIn this special issue titled ‘Sustainability and SMEs: Opening the black box’, we compile eight articles that dissect the multifaceted relationship between small- and medium-sized enterprises (SMEs) and sustainability. This special issue promoted interdisciplinary research at the intersection of the design, management, organisation, and reporting of sustainable actions in the context of SMEs. Stemming from the need to apply different theoretical and analytical lenses to the study of sustainability in SMEs than in large corporations, each paper provides unique insights into the formal and informal approaches, drivers, barriers, and enablers of sustainable practices in SMEs. The collection not only furthers the dialogue on the role of SMEs in sustainable development but also paves the way for future research directions and practical applications in this dynamic and still underexplored field.