bluuebunny/crossref_metadata_2025_split huggingface dataset:
Blockchain technology as an enabler for sustainable business ecosystems: A comprehensive roadmap for socioenvironmental and economic sustainability
Authors: Ghobakhloo Morteza , Iranmanesh Mohammad , Mubarik Muhammad Shujaat , Mubarak Muhammad Faraz , Amran Azlan , Khanfar Ahmad A. A. 
Published: November 2023

AbstractBlockchain technology is a core technology expected to play a highly instrumental role in competing with socioenvironmental challenges. The literature hypothesizes various blockchain functions for building a sustainable business ecosystem. This study unifies these diverse perspectives into an interpretive strategy roadmap that provides a holistic overview of how blockchain should be leveraged to deliver sustainability functions optimally. The study first identified the sustainability functions of blockchain through a content‐centric literature review. The study applied interpretive structural modeling (ISM) and drew on experts' opinions to model how and in which order blockchain delivers these sustainability functions. The study further drew on the ISM output and interpretive logic‐knowledge base to develop the promised roadmap. Results revealed that blockchain promotes a decentralized decision system that facilitates automation and real‐time information sharing (RIS) across supply chains. Blockchain introduces traceability and transparency into supply chain operations. These conditions offer monitoring of business operations and the development of trust across value‐chain stakeholders. These driver functions lead to value chain optimization and circularity integration into business and supply chain operations. When these necessary functional conditions are met, businesses can further draw on blockchain to promote economic and environmental aspects of sustainability through more complex functions enabling resource efficiency, cost reduction, pollution prevention, and higher profit margins. The order in which businesses can leverage these functions would define blockchain sustainability performance. Each function is uniquely valuable to sustainability, and none of them can be overlooked.
Electrocatalytic Functionalized Specialty Paper as Low‐Cost Porous Transport Layer Material in CO2‐Electrolysis
Authors: Stamatelos Ilias , Rentzsch Michael , Liu Chengyu , Bauer Franziska , Barwe Stefan , Robert Marc 
Published: November 2023

AbstractThe development of low‐cost and efficient electrolyzer components is crucial for practical electrochemical carbon dioxide reduction (ECR). In this study, facile non‐woven cellulose‐based porous transport layers (PTLs) were developed for high current density CO2‐to‐CO conversion. By depositing a cobalt phthalocyanine (CoPc) catalyst‐layer over the PTLs, we fabricated ECR‐functioning gas‐diffusion‐electrodes (GDEs) for both flow‐cell and zero‐gap electrolyzers. Under optimal conditions, the Faradaic efficiency of CO (FECO) reached 92 % at a high current density of 200 mA cm−2. Furthering the architecture of the GDEs, CoPc was incorporated into the initial PTL slurry, forming ECR‐active PTLs without the need for an additional catalyst‐layer. The new GDE‐architecture favored the CoPc‐distribution by enhancing the contact and interactions with the carbon substrate and demonstrated a stable electrolysis process for over 50 h in a zero‐gap cell at 200 mA cm−2 with a FECO of 80 %.
Women's preferences for NIPT as a first‐line test in England and France: Challenges for genetic counseling practices
Authors: Perrot Adeline , Clarke Angus , Vassy Carine , Horn Ruth 
Published: November 2023

AbstractNon‐invasive prenatal testing (NIPT) is provided in the private and public sectors worldwide as a first‐ or second‐tier test. In England and France, NIPT is fully funded and offered as a contingent strategy with different probability cut‐offs (1:150 and 1:1000). These different approaches to define the target population for NIPT have implications for how women experience their antenatal care. The paper explores and compares the perceptions and difficulties of women in England and France who took NIPT as a second‐tier screening test. It is based on a semi‐structured qualitative interview study with 17 women in England and France conducted between September 2021 and May 2022. The interviews were cross‐analyzed using thematic analysis. Our findings show that most women express a preference for the offer of NIPT as a first‐line screening test. Some issues with the contingent model, related to the access to information and termination of pregnancy (TOP), the disparities of NIPT uptake, and risks of generating anxiety with combined first‐trimester screening (cFTS), could be addressed by a universal strategy for T21, T13, and T18. Nevertheless, this strategy could present some challenges for genetic counseling due to: women's understanding and expectations of NIPT; adequate information and counseling about the scope and limits of NIPT; concerns about the routinization of NIPT in the first‐line offer; limitations and uncertainties associated with the provision of expanded NIPT in France; the remaining importance of other screening tests; and associated costs.
Deep Learning k‐Space‐to‐Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion‐Weighted Imaging Breast MRI
Authors: Sauer Stephanie Tina , Christner Sara Aniki , Lois Anna‐Maria , Woznicki Piotr , Curtaz Carolin , Kunz Andreas Steven , Weiland Elisabeth , Benkert Thomas , Bley Thorsten Alexander , Baeßler Bettina , Grunz Jan‐Peter 
Published: November 2023

BackgroundFor time‐consuming diffusion‐weighted imaging (DWI) of the breast, deep learning‐based imaging acceleration appears particularly promising.PurposeTo investigate a combined k‐space‐to‐image reconstruction approach for scan time reduction and improved spatial resolution in breast DWI.Study TypeRetrospective.Population133 women (age 49.7 ± 12.1 years) underwent multiparametric breast MRI.Field Strength/Sequence3.0T/T2 turbo spin echo, T1 3D gradient echo, DWI (800 and 1600 sec/mm2).AssessmentDWI data were retrospectively processed using deep learning‐based k‐space‐to‐image reconstruction (DL‐DWI) and an additional super‐resolution algorithm (SRDL‐DWI). In addition to signal‐to‐noise ratio and apparent diffusion coefficient (ADC) comparisons among standard, DL‐ and SRDL‐DWI, a range of quantitative similarity (e.g., structural similarity index [SSIM]) and error metrics (e.g., normalized root mean square error [NRMSE], symmetric mean absolute percent error [SMAPE], log accuracy error [LOGAC]) was calculated to analyze structural variations. Subjective image evaluation was performed independently by three radiologists on a seven‐point rating scale.Statistical TestsFriedman's rank‐based analysis of variance with Bonferroni‐corrected pairwise post‐hoc tests. P < 0.05 was considered significant.ResultsBoth DL‐ and SRDL‐DWI allowed for a 39% reduction in simulated scan time over standard DWI (5 vs. 3 minutes). The highest image quality ratings were assigned to SRDL‐DWI with good interreader agreement (ICC 0.834; 95% confidence interval 0.818–0.848). Irrespective of b‐value, both standard and DL‐DWI produced superior SNR compared to SRDL‐DWI. ADC values were slightly higher in SRDL‐DWI (+0.5%) and DL‐DWI (+3.4%) than in standard DWI. Structural similarity was excellent between DL‐/SRDL‐DWI and standard DWI for either b value (SSIM ≥ 0.86). Calculation of error metrics (NRMSE ≤ 0.05, SMAPE ≤ 0.02, and LOGAC ≤ 0.04) supported the assumption of low voxel‐wise error.Data ConclusionDeep learning‐based k‐space‐to‐image reconstruction reduces simulated scan time of breast DWI by 39% without influencing structural similarity. Additionally, super‐resolution interpolation allows for substantial improvement of subjective image quality.Evidence Level4Technical EfficacyStage 1
Prognostic value of preoperative De Ritis ratio on oncological outcomes in patients with muscle‐invasive bladder cancer
Authors: Sretenovic Milan , Lisicic Nikola , Bulat Petar , Radisavcevic Djordje , Bumbasirevic Uros , Cegar Bojan , Milojevic Isidora Grozdic , Grujicic Sandra Sipetic , Milojevic Bogomir 
Published: November 2023

AbstractObjectiveWe aimed to assess the prognostic value of De Ritis ratio on oncological outcomes in patients suffering from urothelial bladder cancer and undergoing radical cystectomy (RC).Patients and MethodsAnalytical cohort comprised a single‐center series of 367 patients treated between January 2015 and December 2018. Patients were classified into two groups based on De Ritis ratio (<1.3 [normal] vs. ≥1.3 [high]). Along with the Kaplan‐Meier survival probability, cox proportional hazard regression models were used.ResultsA total of 299 patients were included, 60.5% of them having a De Ritis ratio of <1.3% and 39.5% with a De Ritis ratio of ≥1.3. Preoperative increased De Ritis ratio was associated with age (p = 0.001), gender (p = 0.044), cancer‐related death (p = 0.001), overall death (p = 0.001), and tumor stage (p = 0.001). Multivariate analysis implied that preoperative De Ritis ratio was a significant independent prognosticator of overall survival (HR 0.461; 95% CI 0.335–0.633; p < 0.001) and CSS (HR 0.454; 95% CI 0.330–0.623; p < 0.001). Only tumor stage (HR 1.953; 95% CI 1. 106–3.448; p = 0.021) was independently associated with recurrence‐free survival (RFS). De Ritis ratio was not independently associated with RFS in multivariate analyses. During the follow up, a total of 198 (66.2%) patients died, including 173 (57.9%) from BC, 5‐year CSS was 45.8%.ConclusionsDe Ritis ratio is an independent prognostic factor of cancer specific and overall survival in patients treated with RC for urothelial BC. RC patients may benefit from the use of the De Ritis ratio as a valid predictive biomarker.
Tuning the hydrogen storage capacity of MOF‐650 by Mg2+/Ca2+ substitution and B, N co‐doped atoms: Grand canonical Monte Carlo simulation and periodic density functional theory
Authors: Prasetyo Niko , Oktavian Rama , Sirrullah Ahmad 
Published: November 2023

AbstractThis study used periodic density functional theory and grand canonical Monte Carlo simulations to investigate the effects of the co‐doping of B and N atoms and substituting Zn2+ with Mg2+ or Ca2+ in the organic linker groups of MOF‐650. The functionalization increased the polarity of the organic groups, stabilizing the interaction between the MOF and hydrogen molecules. The highest average binding energy of the adsorbed hydrogen in MOF‐650 NB‐C7‐azulene‐Mg was calculated to be −4.75 to 5.40 kcal/mol for the α adsorption sites. Using the substitution of NB azulene and metal cations being Mg2+ or Ca2+, The hydrogen storage capacity of functionalized MOF‐650 was increased to 22 mg/g at 90 bar/298 K, implying the modification strategy of MOF‐650 would strengthen the interaction between MOF frameworks and hydrogen molecules.
Modulating the thermoelectric transport properties of the novel material Er2Te3 via strain
Authors: Xia Yuhong , Yang Zhenqing , Zhou Lulu , Shao Changjin 
Published: November 2023

AbstractThe rare‐earth chalcogenide Er2Te3, characterized by its low lattice thermal conductivity, represents a highly promising and innovative thermoelectric material. However, there have been limited studies exploring its thermoelectric properties in depth. Additionally, it has been discovered that strain engineering is an effective method for enhancing thermoelectric properties, a technique successfully applied to relevant materials. In this study, we employed a first‐principles approach in conjunction with the semi‐classical Boltzmann transport theory to investigate the thermoelectric properties of Er2Te3 materials under −4% to 4% strain. The results indicate that applying compressive strain modulates thermoelectric properties more effectively than tensile strain for Er2Te3. Under strain modulation, the maximum power factor for both p‐type and n‐type Er2Te3 increases significantly, from 0.9 to 2.5 mW m−1 K−2 and from 14 to 18 mW m−1 K−2 at 300 K, respectively. Moreover, the figure of merit (ZT) for p‐type and n‐type Er2Te3 improves notably, from 0.15 to 0.25 and from 1.15 to 1.35, respectively, under −4% strain. Consequently, the thermoelectric properties of Er2Te3 materials can be significantly enhanced through strain application, with n‐type Er2Te3 demonstrating substantial potential as a thermoelectric material.
Establishing Ultralow Self‐Discharge Zn‐I2 Battery by Optimizing ZnSO4 Electrolyte Concentration
Authors: Wang Hanbing , Liu Xuan , Zhong Junsen , Du Lingyu , Yun Shan , Zhang Xiaolong , Gao Yanfeng , Kang Litao 
Published: November 2023

AbstractAs one of promising candidates for large‐scale energy‐storage systems, Zn‐I2 aqueous battery exhibits multifaceted advantages including low cost, high energy/powder density, and intrinsic operational safety, but also suffers from fast self‐discharge and short cycle/shelf lifespan associating with I3− shuttle, Zn dendrite growth, and corrosion. In this paper, the battery's self‐discharge rate is successfully suppressed down to an unprecedent level of 17.1% after an ultralong shelf‐time of 1 000 h (i.e., 82.9% capacity retention after 41 days open‐circuit storage), by means of manipulating solvation structures of traditional ZnSO4 electrolyte via simply adjusting electrolyte concentration. Better yet, the optimized 2.7 m ZnSO4 electrolyte further prolongs the cycle lifespan of the battery up to >10 000 and 43 000 cycles at current density of 1 and 5 A g−1, respectively, thanks to the synthetic benefits from reduced free water content, modified solvation structure and lowered I2 dissolution in the electrolyte. With both long lifespan and ultralow self‐discharge, this reliable and affordable Zn‐I2 battery may provide a feasible alternative to the centuries‐old lead‐acid battery.
New families of scale separated vacua
Authors: Carrasco Rafael , Coudarchet Thibaut , Marchesano Fernando , Prieto David 
Published: November 2023

Abstract
Massive type IIA flux compactifications of the form AdS4 × X6, where X6 admits a Calabi-Yau metric and O6-planes wrapping three-cycles, display families of vacua with parametric scale separation between the compactification scale and the AdS4 radius, generated by an overall rescaling of internal four-form fluxes. For toroidal orbifolds one can perform two T-dualities and map this background to an orientifold of massless type IIA compactified on an SU(3)-structure manifold with fluxes. Via a 4d EFT analysis, we generalise this last construction and embed it into new branches of supersymmetric and non-supersymmetric vacua with similar features. We apply our results to propose new infinite families of vacua based on elliptic fibrations with metric fluxes. Parametric scale separation is achieved by an asymmetric flux rescaling which, however, in general is not a simple symmetry of the 4d equations of motion. At this level of approximation the vacua are stable but, unlike in the Calabi-Yau case, they display a non-universal mass spectrum of light fields.
The $$ {D}_3^{(2)} $$ spin chain and its finite-size spectrum
Authors: Frahm Holger , Gehrmann Sascha , Nepomechie Rafael I. , Retore Ana L. 
Published: November 2023

Abstract
Using the analytic Bethe ansatz, we initiate a study of the scaling limit of the quasi-periodic $$ {D}_3^{(2)} $$

D
3

2

spin chain. Supported by a detailed symmetry analysis, we determine the effective scaling dimensions of a large class of states in the parameter regime γ ∈ (0,$$ \frac{\pi }{4} $$

π
4

). Besides two compact degrees of freedom, we identify two independent continuous components in the finite-size spectrum. The influence of large twist angles on the latter reveals also the presence of discrete states. This allows for a conjecture on the central charge of the conformal field theory describing the scaling limit of the lattice model.
Peripheral and ocular microvascular alterations in systemic sclerosis: observations from capillaroscopic assessments, perfusion peripheral analysis, and optical coherence tomography angiography
Authors: Cutolo Carlo Alberto , Cere Andrea , Toma Paola , Cannavacciuolo Tommaso , Toma Chiara , Balito Serena , Gerli Veronica , Smith Vanessa , Sulli Alberto , Paolino Sabrina , Gotelli Emanuele , Traverso Carlo Enrico , Nicolò Massimo , Cutolo Maurizio , Hysa Elvis 
Published: November 2023

AbstractTo investigate the correlations between finger microvascular morphology and function in patients with systemic sclerosis (SSc) and the status of ocular microcirculation, as detected by nailfold videocapillaroscopy (NVC), laser speckle contrast analysis (LASCA), and optical coherence tomography angiography (OCTA). The enrollment included 32 SSc patients, classified according to the 2013 ACR/EULAR criteria, and 27 sex- and age-matched healthy controls. The participants underwent comprehensive rheumatological and ophthalmological examinations, as well as NVC, LASCA, and OCTA analysis on the same day at a single center from March to October 2022. SSc patients receiving intravenous prostanoids cycles were assessed at least 1 month after infusion. Statistical analysis was conducted using Stata® 15.1. Significant direct correlations were observed between the mean capillary number (at NVC) and the mean perfusion of fingers (at LASCA) with the retinal and choroidal perfusion (at OCTA) (all p < 0.05). In addition, a significantly reduced retinal and choroidal perfusion was detected in SSc patients vs controls (all p < 0.05). Interestingly, diffuse cutaneous SSc (dcSSc) patients exhibited a lower choroidal perfusion (p = 0.03) but an increased choroidal thickness (CT) than limited cutaneous SSc patients (p < 0.001). CT was increased also in patients with positive Scl70 antibodies and with a history of digital ulcers directly correlating with disease duration (r = 0.67, p = 0.001). Finally, the combination of LASCA and OCTA parameters showed a significant discrimination capacity between SSc patients and controls, with an area under the curve of 0.80 [95% CI (0.74, 0.87)]. Peripheral microvascular damage is correlated with impaired ocular microcirculation in SSc. The increased choroidal thickness observed in dcSSc may be related to local sub-endothelial extracellular matrix deposition. The combined analysis of choroidal and fingertip perfusion offers preliminary insights that may complement traditional diagnostic methods for SSc.
Identification of gene expression biomarkers to predict clinical response to methotrexate in patients with rheumatoid arthritis
Authors: Palmowski Andriko , Strehl Cindy , Pfeiffenberger Moritz , Häupl Thomas , Schad Martina , Kallarackal Jim , Prothmann Ulrich , Dammann Denise , Bonin Mark , Brandt Andreas , Schneider Udo , Gaber Timo , Buttgereit Frank 
Published: November 2023

Abstract
Objectives
To identify biomarkers at the gene expression level to predict response to methotrexate (MTX) in patients with rheumatoid arthritis (RA).

Methods
MTX-naïve patients with RA were started on MTX and followed up over three months. The disease activity score 28 (DAS28) was used to classify patients into responders and non-responders. Genome-wide gene expression analysis was performed in CD4 + and CD14 + mononuclear cells sampled from whole blood at baseline to identify differentially expressed genes in responders versus non-responders. Gene selection methods and prediction modelling obtained the most relevant differentially expressed genes. A logistic regression prediction model was subsequently constructed and validated via bootstrapping. The area under the receiver operating characteristic (AUC) curve was calculated to judge model quality.

Results
Seventy-nine patients with RA (53.4 ± 13.9 years, 74.7% females) were enrolled, and 70 finished the study with a documented treatment EULAR response (77.1% responders). Forty-six differentially expressed genes were found. The most promising genes were KRTAP4-11, LOC101927584, and PECAM1 in CD4 + cells and PSMD5 and ID1 in CD14 + cells. The final prediction model using these genes reached an AUC of 90%; the validation set’s AUC was 82%.

Conclusions
Our prediction model constructed via genome-wide gene expression analysis in CD4 + and CD14 + mononuclear cells yielded excellent predictions. Our findings necessitate confirmation in other cohorts of MTX-naïve RA patients. Especially if used in conjunction with previously identified clinical and laboratory (bio)markers, our results could help predict response to MTX in RA to guide treatment decisions.

Key Points• Patients with rheumatoid arthritis may or may not respond to treatment with methotrexate, which is the recommended first-line drug in guidelines around the world.• In non-responders, valuable time is lost until second-line treatments are started.• This study aimed at predicting response to methotrexate by identifying differentially expressed genes from peripheral blood samples.• The final prediction model yielded excellent prognostic values, but validation in other cohorts is necessary to corroborate these findings.
Divergence of separated nets with respect to displacement equivalence
Authors: Dymond Michael , Kaluža Vojtěch 
Published: November 2023

AbstractWe introduce a hierarchy of equivalence relations on the set of separated nets of a given Euclidean space, indexed by concave increasing functions $$\phi :(0,\infty )\rightarrow (0,\infty )$$

ϕ
:
(
0
,
∞
)
→
(
0
,
∞
)

. Two separated nets are called $$\phi $$
ϕ
-displacement equivalent if, roughly speaking, there is a bijection between them which, for large radii R, displaces points of norm at most R by something of order at most $$\phi (R)$$

ϕ
(
R
)

. We show that the spectrum of $$\phi $$
ϕ
-displacement equivalence spans from the established notion of bounded displacement equivalence, which corresponds to bounded $$\phi $$
ϕ
, to the indiscrete equivalence relation, corresponding to $$\phi (R)\in \varOmega (R)$$

ϕ
(
R
)
∈
Ω
(
R
)

, in which all separated nets are equivalent. In between the two ends of this spectrum, the notions of $$\phi $$
ϕ
-displacement equivalence are shown to be pairwise distinct with respect to the asymptotic classes of $$\phi (R)$$

ϕ
(
R
)

for $$R\rightarrow \infty $$

R
→
∞

. We further undertake a comparison of our notion of $$\phi $$
ϕ
-displacement equivalence with previously studied relations on separated nets. Particular attention is given to the interaction of the notions of $$\phi $$
ϕ
-displacement equivalence with that of bilipschitz equivalence.
Ionic thermoelectric effect in Cu2-δSe during phase transition
Authors: Trawiński Bartosz 
Published: November 2023

Abstract
The ionic Seebeck coefficient was studied in copper selenide with Cu1.99Se, Cu1.95Se and Cu1.8Se stoichiometry which was synthesized with a melt crystallization method. To measure the ionic Seebeck coefficient of copper ions, 0.15C6H12N4CH3I + 0.85CuI solid-state electrolyte was prepared. Electrolyte layers were pressed with copper selenide powder into a sandwich-like structure. At the temperature of 410 K, the materials have ionic Seebeck coefficient values close to each other, about 1100 μV/K. In the case of β-phase structure (Cu1.8Se material), changes in the measured Seebeck coefficient were observed—with decreasing temperature, the ionic thermopower firstly increased reaching about 1230 μV/K and then decreased to 950 μV/K at 355 K. In the Cu1.99Se material, a phase transition to the α-phase was observed during cooling. The ionic Seebeck coefficient values gradually increased from 1030 to 1220 μV/K at 370 K, when the material is in the low-temperature phase. The measured difference between the ionic thermopower of the two phases well matches calculations based on the entropy of the transition (presence part of the Seebeck coefficient) and different activation energies of ionic transport (transport part).

Graphical abstract