bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of Ni‐Based MOFs Catalyst in Oxidative Coupling Reaction of Benzylamine
Authors: Nguyen Oanh Thi Kim , Tran Huy Duc Hoang , Van Huynh Tien , Nguyen Vinh Huu , Ha Hiep Quang 
Published: October 2024

AbstractNanoparticles made of porous coordination polymers, known as metal‐organic frameworks (MOFs), are becoming increasingly popular in nanomaterials research, especially in catalytic applications. With their intricate architectures, MOFs make it possible to incorporate metal nodes, encapsulate substrates, and use functional linkers, all of which contribute to synergistic engineering. A Ni‐based metal‐organic framework sample was prepared by the solvothermal method with NiCl2.6H2O as a precursor of Ni metal and terephthalic (H2BDC) acid as a linker. The as‐synthesized NiBDC was verified by X‐ray diffraction (XRD), Fourier‐transform infrared spectroscopy (FT‐IR), scanning electron microscopy (SEM), scanning electron microscopy with energy dispersive X‐ray spectroscopy (SEM‐EDX), transmission electron microscopy (TEM), and N2 adsorption/desorption isotherms. Based on these findings, we applied the as‐synthesized NiBDC to the oxidative coupling reaction of benzylamine. The results revealed that with NiBDC as a heterogeneous catalyst, the oxidative coupling reaction of benzylamine achieved a performance of 92%. Furthermore, the catalyst maintains good stability after four catalytic cycles, with an efficiency of approximately 82%.
Resveratrol‐Loaded Silver Nanoparticles as an Effective Strategy for Targeted Breast Cancer Therapy
Authors: Topçu Ege , Hepokur Ceylan , Afşin Kariper İ. , Emre Öksüz Kerim , Yaylim İlhan 
Published: October 2024

AbstractThe AgNPs‐Rsvl complex was investigated for its anti‐cancer effects on human breast cancer cell lines. The UV–vis spectrophotometer was used to perform synthesized AgNPs‐Rsvl binding analyses. The size and morphology of the AgNPs were determined by field emission gun‐transmission electron microscopy (FEG‐TEM). The surface chemical signatures of AgNPs nanocomposites were assessed using FT‐IR spectroscopy, and the zeta potential (ζ potential) of various AgNPs colloids was measured using the Zetasizer Nano ZS analyzer. Cell proliferation was analyzed using the XTT method and cell apoptosis was analyzed using the AnnexinV‐fluorescein isothiocyanate (FITC)/PI method. The effects of resveratrol were evaluated on human breast cancer cell lines (MDA‐MB‐231 and MCF‐7). As a result of flow cytometry, a decrease in viability was observed in the MDA‐MB‐231 cells, and an increase in early apoptotic, late apoptotic, and necrotic values was observed. Resveratrol arrests the cell cycle in the G0/G1 phase but when used with AgNPs, the cell cycle arrests at the S phase. The combination of resveratrol and AgNPs exhibited a cytotoxic effect on cancer cells, with MDA‐MB‐231 breast cancer cells being the most sensitive to AgNPs‐Rsvl. Resveratrol and AgNPs arrested the cell cycle and increased apoptosis, indicating their potential use in breast cancer treatment.
Poly(Acrylic Acid)‐Based Polymer Binders for High‐Performance Lithium‐Ion Batteries: From Structure to Properties
Authors: Zhong Liu , Sun Yongrong , Shen Kuangyu , Li Fayong , Liu Hailu , Sun Luyi , Xie Dong 
Published: October 2024

AbstractPoly(acrylic acid) (PAA) and its derivatives have emerged as promising candidates for enhancing the electrochemical performance of lithium‐ion batteries (LIBs) as binder materials. Recent research has focused on evaluating their ability to improve adhesion with silicon (Si) particles and facilitate ion transport while maintaining electrode integrity. Various strategies, including mixing modifications and copolymerization methods, are highlighted and the structural and physicochemical properties of these binders are examined. Additionally, the interaction mechanisms between PAA‐based binders and active materials and their impact on key electrochemical properties such as initial Coulombic efficiency (ICE) and cycle stability are discussed. The findings underscore the efficacy of tailored PAA‐based binders in enhancing the electrochemical properties of LIBs, offering insights into the design principles and practical implications for advanced battery materials. These advancements hold promise for developing high‐performance lithium batteries capable of meeting future energy storage demands.
Sustainable Processing of Ultralow‐Cost Petroleum Cokes Into Ultrastable Self‐Doped Fe3C@CNT Catalysts for High‐Efficiency HER
Authors: Zhu Fei , Li Shijie , Bu Xudong , Ge Jianbang , Song Wei‐Li , Wang Mingyong , Jiao Shuqiang 
Published: October 2024

AbstractPetroleum cokes are largely used as low‐cost anodes in aluminum industries and general fuels in cement industries, where large amounts of CO2 are generated. To reduce CO2 release, it is challenging to develop green strategies for processing abundant petroleum cokes into high‐value products, because there are abundant hetero‐atoms in petroleum cokes. To overcome such issues, a sustainable electrochemical approach is proposed to convert ultralow‐cost high sulfur petroleum coke and iron powders into high‐efficiency catalysts for hydrogen evolution reaction (HER). During molten‐salt electrolysis, raw petroleum cokes are converted into CNTs via heteroatom removal and the catalytic effect of Fe, forming Fe3C nanoparticles on the sulfur and nitrogen co‐dopped carbon nanotubes (Fe3C@S, N‐CNTs). The electrochemical reaction analysis using the continuum model suggested that the rate‐determining step referred to the slow transport of mobile ions inside the porous cathode. Because the self‐doped S and N atoms massively alleviated the energy barrier for H* absorption and H2 desorption (i.e., promoting HER kinetics), the as‐prepared Fe3C@S, N‐CNTs exhibited low overpotentials at 10 mA cm−2 in acidic (96 mV) and alkaline (106 mV) solutions with ultralong‐term duration (200 h). This study offers a sustainable approach to convert ultralow‐cost petroleum cokes into ultrastable catalysts for high‐efficiency HER.
Two α‐SiO2‐Related Deep‐Ultraviolet Phase‐Matchable Optical Nonlinear Beryllium Silicate Crystals Na2BeSiO4 and Li2BeSiO4 with Enhanced SHG Effect
Authors: Chen Yi‐Gang , Jiang Xingxing , Lv Hong‐Xiao , Mei Dajiang , Zhang Xia , Guo Yao , Lin Zheshuai , Zhang Xian‐Ming 
Published: October 2024

AbstractDeep‐UV, (wavelength λ < 200 nm) nonlinear‐optical (NLO) silicate crystals have long been troubled by weak second‐harmonic‐generation (SHG) effect and common non‐phase‐matchability, leading to the stagnation of silicate research, despite abundant reserves of silicates on the earth. Representative and simple α‐SiO2 is an ideal structural prototype toward improving silicate NLO performance by exploring efficient strategies. Herein, through two‐step structural modulations based on fundamental “distortion and superposition” principles of NLO response, two deep‐UV NLO crystals taking α‐SiO2 as a structural template, Na2BeSiO4 and Li2BeSiO4, are synthesized successively. By providing flexible coordination BeO4 tetrahedra for rigid tetrahedral SiO4 that induces distortion of SiO4, Na2BeSiO4 achieves significant enhancement of phase‐matchable SHG effect of 15 × α‐SiO2. Further, by introducing a low coordination number of Li+ cations that stimulates uniform orientation of SiO4, Li2BeSiO4 exhibits the strongest phase‐matchable SHG effect as large as 40 × α‐SiO2 among the universal SiO4‐governed NLO silicates. Also, computational investigations support the rationality of the structural modulations well. Such efficient structural modulations can greatly promote the exploration and rational design of NLO silicates.
Best practices in creating partnerships for transformative engaged learning experiences at a small, liberal arts, Lasallian institution
Authors: Dempsey Sarah Beth , Diaz Adeline , Giordano Samantha 
Published: October 2024

AbstractAll undergraduate students at Saint Mary's College of California, a small, private institution, are required to complete an engaged learning (EL) course or experience for graduation. This graduation requirement was established to provide students with the opportunity to learn in and from the community; an important value from the principles of the Liberal Arts and Catholic Lasallian traditions that inform the College's pedagogy. The social justice and community engagement center on campus called the Catholic Institute for Lasallian Social Action (CILSA), establishes EL partnerships with nonprofit organizations, school districts, campus departments, and other higher education institutions throughout California for EL courses, internships, place‐based work, and research projects. We value the expertise of our partners and view them as co‐educators in creating transformative learning experiences for nearly 600 students annually. In this article, we will share our process in sustaining community partnerships, our scaffolding engagement efforts, and best practices for collaborating with partners.
Changing institutional culture to change student outcomes: Grant funding, change management, and student success at small institutions
Authors: Lugg Carol , Champagne Angelina , Maldonado Heather 
Published: October 2024

AbstractThrough the lens of change management theory, this article focuses on transforming institutional culture at small institutions through grant opportunities. Federal discretionary grants, such as the Department of Education's Title III, Strengthening Institution Program (SIP), provide financial resources for new initiatives to improve student outcomes. Cultural shifts can be challenging at small institutions, where deep traditions and institutional inertia can create barriers to positive change. Initiative fatigue also can emerge, as staff and faculty carry multiple roles with limited resources while balancing increased grant reporting and recordkeeping requirements. Through an iterative assessment process resourced with grant funding, transformational cultural shifts can be leveraged while meeting grant objectives and establishing lasting change that will strengthen the institution and produce stronger student outcomes.
Improving the Behavior of Reinforced Concrete Frame Using an Innovative Metallic Shear Damper
Authors: Alahmari Turki S. 
Published: October 2024

ABSTRACTDespite the advantages of reinforced concrete (RC) frame, they are susceptible to damages under seismic loading. This is due to the fact that the main elements of the RC frame carry the gravity load in addition to the lateral loading. So imposed seismic energy is dissipated through the two ends of the beam, making the repair of the element complicated due to the gravity load. Although adding concentrically braced frames (CBFs) improves the lateral strength and stiffness, the ductility of the system is reduced. This shortcoming is due to the susceptibility of the diagonal elements to buckling. To do so, in this paper, an innovative metallic damper was investigated numerically and parametrically. The damper compound of the shear plate is surrounded by two HSS sections at two ends. The damper pertains to simplicity of construction and implementation. Also, the required equation to design and prediction of the system is presented. To investigate the behavior of the system, dynamic (to consider its suitable performance against seismic expiation) and static analyses (to determine the structural parameters) were carried out. Results revealed that the HSS section used as flanges for the shear plate not only improves the behavior of the plate but also contributes to resisting the applied load. Also, the reduction of the length to the height ratio of the damper enhances the stiffness and strength and stiffness. Subsequently, the variable Ф was defined as the ratio of the strength of the flanges to the web plate that affects the response of the damper. Although raising the Ф reduced the stiffness and ultimate strength, it is suggested to design dampers with Ф > 2 to achieve suitable overstrength in accordance with economical aspects. Also, time‐history analysis indicated that the proposed damper prevents the buckling of the CBF elements and improves the energy‐dissipating capacity of the system.
A Systematic Literature Review on the Operationalization of Usability in Urban Pluvial Flooding Climate Services and the Influence of Contextual Factors
Authors: Koers Gerben J. , Raaphorst Kevin M. C. , van der Wal Merel M. , Ellen Gerald Jan , Meijerink Sander V. 
Published: October 2024

ABSTRACTExtreme weather impacts due to climate change, such as urban pluvial flooding, necessitate adaptive measures. To support decision making in climate adaptation, climate services provide information and guidance to policy makers and other stakeholders. Effective use of climate services is prohibited by usability gaps. Some causes for these gaps originate from contextual factors. However, these factors are not well understood within academic literature. Therefore, our systematic review has two research questions: (1) What dimensions of climate service usability are considered in the design and evaluation of their use and how are these operationalized?; and (2) What contextual influences may affect these identified dimensions? To this end, we analyzed 51 articles that cover one or more urban pluvial flooding climate services. Our results show several overarching categories of usability dimensions (functionality, ease of use, reducing time and effort, reliability, matching user needs, and other). However, these dimensions are not always fully operationalized by authors. Furthermore, our results show that most contextual factors originate from the meso level (within or between organizations), and in lesser extent the macro (e.g., national policies) and micro level (individual users). Here especially organizational (e.g., Does the climate service fit organizational work approaches?); and process factors (e.g., Was the climate service co‐produced?) have been shown to affect usability. We conclude that more attention should be given to usability as a concept within the design and evaluation of climate services well as to the influence of contextual influences.
Liver and Let Die? A Retrospective Analysis of Secretarybird Mortality in European Zoos
Authors: Ings Roshan , Brereton James Edward , Dick Graeme 
Published: October 2024

ABSTRACTThe secretarybird (Sagittarius serpentarius) is a threatened African raptor species, and as such requires conservation attention. While the species is managed under a European Association of Zoos and Aquaria (EAZA) Ex‐situ Programme (EEP), no studies of mortality are currently available. A retrospective mortality project was therefore conducted to identify the most common causes of death in captive secretarybirds, with a view to informing management decisions. Data were collected by requesting the postmortem reports from zoos where secretarybirds had died and combining this with the existing data recorded in the Zoological Information Management System. Overall, 167 birds were recorded as having died within the EEP population, of which post‐mortem information was available for 51 (30.54%) individuals. Trauma was the most common cause of death identified (22 birds, 13.17%), with infection appearing as the second most prevalent cause (15 birds, 8.98%). One incidental finding at postmortem was that many (9) birds showed evidence of liver damage, with reports of bacterial hepatitis, staphylococcal infection, lesions, and dark coloration. Further research into liver complications and diet composition for secretarybirds may therefore have value in reducing mortality. Similarly, investigating strategies to reduce trauma caused by other enclosure occupants or conspecifics may have value in lengthening lifespans for this endangered species.
Variable selection in macroeconomic stress test: a Bayesian quantile regression approach
Authors: Dao Mai , Nguyen Lam 
Published: October 2024

Abstract
The key assumption in stress test scenarios is that selected risk factors are useful in predicting banks’ tail risks under severe economic conditions. We argue that high-dimensional Bayesian quantile regression models with shrinkage priors are ideal for identifying those factors. We illustrate our methods by identifying key drivers for banks with different asset sizes from a high-dimensional database. We found that leverage indicators, asset prices, and labor market measures are the best predictors of banks’ performance. The usefulness of our methods is further demonstrated by a forecast comparison between the selected variables and those used in the regulatory stress tests.
SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation
Authors: Möller Hendrik , Graf Robert , Schmitt Joachim , Keinert Benjamin , Schön Hanna , Atad Matan , Sekuboyina Anjany , Streckenbach Felix , Kofler Florian , Kroencke Thomas , Bette Stefanie , Willich Stefan N. , Keil Thomas , Niendorf Thoralf , Pischon Tobias , Endemann Beate , Menze Bjoern , Rueckert Daniel , Kirschke Jan S. 
Published: October 2024

Abstract

Objectives
Introducing SPINEPS, a deep learning method for semantic and instance segmentation of 14 spinal structures (ten vertebra substructures, intervertebral discs, spinal cord, spinal canal, and sacrum) in whole-body sagittal T2-weighted turbo spin echo images.

Material and methods
This local ethics committee-approved study utilized a public dataset (train/test 179/39 subjects, 137 female), a German National Cohort (NAKO) subset (train/test 1412/65 subjects, mean age 53, 694 female), and an in-house dataset (test 10 subjects, mean age 70, 5 female). SPINEPS is a semantic segmentation model, followed by a sliding window approach utilizing a second model to create instance masks from the semantic ones. Segmentation evaluation metrics included the Dice score and average symmetrical surface distance (ASSD). Statistical significance was assessed using the Wilcoxon signed-rank test.

Results
On the public dataset, SPINEPS outperformed a nnUNet baseline on every structure and metric (e.g., an average over vertebra instances: dice 0.933 vs 0.911, p < 0.001, ASSD 0.21 vs 0.435, p < 0.001). SPINEPS trained on automated annotations of the NAKO achieves an average global Dice score of 0.918 on the combined NAKO and in-house test split. Adding the training data from the public dataset outperforms this (average instance-wise Dice score over the vertebra substructures 0.803 vs 0.778, average global Dice score 0.931 vs 0.918).

Conclusion
SPINEPS offers segmentation of 14 spinal structures in T2w sagittal images. It provides a semantic mask and an instance mask separating the vertebrae and intervertebral discs. This is the first publicly available algorithm to enable this segmentation.

Key Points

Question

No publicly available automatic approach can yield semantic and instance segmentation masks for the whole spine (including posterior elements) in T2-weighted sagittal TSE images.

Findings

Segmenting semantically first and then instance-wise outperforms a baseline trained directly on instance segmentation. The developed model produces high-resolution MRI segmentations for the whole spine.

Clinical relevance

This study introduces an automatic approach to whole spine segmentation, including posterior elements, in arbitrary fields of view T2w sagittal MR images, enabling easy biomarker extraction, automatic localization of pathologies and degenerative diseases, and quantifying analyses as downstream research.
STAT trial: stoma or intestinal anastomosis for necrotizing enterocolitis: a multicentre randomized controlled trial
Authors: Eaton Simon , Ganji Niloofar , Thyoka Mandela , Shahroor Maher , Zani Augusto , Pleasants-Terashita Hazel , Ghazzaoui Ali El , Sivaraj Jayaram , Loukogeorgakis Stavros , De Coppi Paolo , Montedonico Sandra , Sindjic-Antunovic Sanja , Lukac Marija , Hamill James , Choo Candy Suet Cheng , Nah Shireen Anne , Hulscher Jan , Emil Sherif , Petersen Aigars , Wijnen Rene , Sloots Cornelius , Sigalet David , Kiely Edward , Svensson Jan F. , Wester Tomas , Pierro Agostino 
Published: October 2024

Abstract
Purpose
The STAT trial is a multicenter randomized controlled trial in 12 centers worldwide aiming to determine the most effective operation for neonates with necrotizing enterocolitis (NEC) requiring intestinal resection: stoma formation (ST) or primary anastomosis (PA).

Methods
Infants having a primary laparotomy for NEC were randomized intraoperatively to PA or ST if the operating surgeon thought that both were viable treatment options for that patient. The primary outcome (duration of parenteral nutrition [PN]) was evaluated by Cox regression.

Results
Eighty patients were recruited from 2010 to 2019. Infants undergoing anastomosis finished PN significantly earlier than patients undergoing stoma (hazard ratio PA vs. ST 2.38, 95% CI 1.36–4.12 p = 0.004). There was no difference in mortality between the two groups (PA 4/35 vs. ST 8/38 p = 0.35) or in the rate of complications requiring further unplanned operations (p = n.s.). Multiple intestinal complications were more frequent in the stoma group compared to the anastomosis group (ST 12/26 vs. PA 5/31, p = 0.02, Fisher’s Exact test).

Conclusion
At laparotomy for NEC, when there is no disease distal to resected intestine, primary anastomosis should be performed as it enhances the recovery from NEC, reduces the risk of multiple intestinal complications and does not increase adverse outcomes.
Novel subharmonic-aided pressure estimation for identifying high-risk esophagogastric varices
Authors: Kuroda Hidekatsu , Abe Tamami , Kamiyama Naohisa , Oguri Takuma , Ito Asami , Nakaya Ippeki , Watanabe Takuya , Abe Hiroaki , Yusa Kenji , Fujiwara Yudai , Sato Hiroki , Suzuki Akiko , Endo Kei , Yoshida Yuichi , Oikawa Takayoshi , Kakisaka Keisuke , Sawara Kei , Miyasaka Akio , Matsumoto Takayuki 
Published: October 2024

Abstract

Background
Subharmonic-aided pressure estimation (SHAPE) is a technique for determining changes in ambient pressure. We aimed to analyze a novel SHAPE integrated into ultrasound diagnostic equipment to predict patients with liver cirrhosis at high risk of esophagogastric varices (EV).

Methods
This prospective study included 111 patients with liver cirrhosis diagnosed between 2020 and 2023. We obtained liver stiffness measurements (LSM) and spleen stiffness measurements (SSM) using shear wave elastography and hepatic vein-portal vein (HV-PV) gradient using the SHAPE method. The EV risk was determined either as null, low, or high by esophagoscopy and Child–Pugh stage.

Results
HV-PV gradient increased concordantly with the increase in EV risk (− 7.0 dB in null-risk, − 4.4 dB in low-risk, and − 2.0 dB in high-risk) with statistically significant difference among any two groups. The most appropriate cut-off value of the HV-PV gradient was − 3.5 dB, and sensitivity, specificity, and positive and negative predictive values were 80.0%, 89.0%, 80.0%, and 88.0%, respectively. The areas under the curve values for predicting the high-risk EV were 0.920, 0.843, and 0.824 for the HV-PV gradient, LSM, and SSM, respectively.

Conclusions
The novel SHAPE system demonstrated high accuracy in identifying patients with liver cirrhosis at a high risk of EV.