bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Characterization of the Impact Toughness of Hot-rolled HSLA Steel
Authors: Hamryszczak Tomasz , Śleboda Tomasz , Lypchanskyi Oleksandr , Pańcikiewicz Krzysztof 
Published: January 2025

Due to the wide use of HSLA steels in difficult conditions, e.g. at low temperatures, it is extremely important to test the impact strength of these steels. This is equally important because most of those structures are made by welding these steels, and the welding process itself has a significant impact on the properties of joints and welding zones. In this work, the authors analyzed two selected representative HSLA steels rolled in the Krakow branch of ArcelorMittal Poland S.A. – the only place in Poland where HSLA steels in the form of hot-rolled strips can be produced on an industrial scale. Impact tests were performed in accordance with technical acceptance standards, and then the fracture surfaces after impact tests were characterized using light and scanning microscopy. In the next part of the work, a set of previously gathered data were analyzed to determine the influence of thermomechanical rolling process parameters on the level of impact strength and the influence of chemical composition on it.
Genetic determinants of COVID-19 severity and mortality: ACE1 Alu 287 bp polymorphism and ACE1, ACE2, TMPRSS2 expression in hospitalized patients
Authors: de Araújo João Locke Ferreira , Rossi Átila Duque , de Almeida Jessica Maciel , Alves Hugo José , Leitão Isabela de Carvalho , de Ávila Renata Eliane , Castiñeiras Anna Carla Pinto , Oliveira Jéssica da Silva , Galliez Rafael Mello , Tonini Marlon Daniel Lima , Faffe Débora Souza , Barroso Shana Priscila Coutinho Barroso , Resende Gustavo Gomes , Gonçalves Cássia Cristina Alves , Castiñeiras Terezinha Marta Pereira Pinto , Tanuri Amilcar , Teixeira Mauro Martins , Aguiar Renato Santana , Cardoso Cynthia Chester , de Souza Renan Pedra 
Published: January 2025

Background
The angiotensin-converting enzyme 2 (ACE2) and the transmembrane serine protease 2 (TMPRSS2) are central human molecules in the SARS-CoV-2 virus-host interaction. Evidence indicates that ACE1 may influence ACE2 expression. This study aims to determine whether ACE1, ACE2, and TMPRSS2 mRNA expression levels, along with the ACE1 Alu 287 bp polymorphism (rs4646994), contribute to the severity and mortality of COVID-19.

Methods
Swabs were collected in two Brazilian cities in 2020: Belo Horizonte (n = 134) and Rio de Janeiro (n = 41). A swab of mild patients in Rio de Janeiro who were not hospitalized (n = 172) was also collected. All analyzed biological material was obtained from residual diagnostic samples in 2020, prior to the emergence of SARS-CoV-2 variants of concern. ACE1, ACE2, TMPRSS2, and B2M (reference gene) expression levels were evaluated in 40 cycles of quantitative PCR. ACE1 Alu 287 bp polymorphism was genotyped using the FastStart Universal SYBR Green Master kit.

Results
The median age differed between clinical sites (p = 0.016), but no difference in median days of hospitalization was observed (p = 0.329). Age was associated with severity (p = 0.014) and mortality (p = 0.014) in the Belo Horizonte cohort. No alteration in ACE1, ACE2 and TMPRSS2 expression was associated with severity or mortality. ACE1 polymorphism rs4646994 did not influence the likelihood of either outcome. A meta-analysis including available data from the literature showed significant effects: the D-allele conferred risk (OR = 1.39; 95% CI [1.12–1.72]).
Insights in biomarkers complexity and routine clinical practice for the diagnosis of thyroid nodules and cancer
Authors: de Matos Maria de Lurdes Godinho , Pinto Mafalda , Gonçalves Ana , Canberk Sule , Bugalho Maria João Martins , Soares Paula 
Published: January 2025

Background
The differential diagnosis between benign and malignant thyroid nodules continues to be a major challenge in clinical practice. The rising incidence of thyroid neoplasm and the low incidence of aggressive thyroid carcinoma, urges the exploration of strategies to improve the diagnostic accuracy in a pre-surgical phase, particularly for indeterminate nodules, and to prevent unnecessary surgeries. Only in 2022, the 5th WHO Classification of Endocrine and Neuroendocrine Tumors, and in 2023, the 3rd Bethesda System for Reporting Thyroid Cytopathology and the European Thyroid Association included biomarkers in their guidelines. In this review, we discuss the integration of biomarkers within the routine clinical practice for diagnosis of thyroid nodules and cancer.

Methodology
The literature search for this review was performed through Pub Med, Science Direct, and Google Scholar. We selected 156 publications with significant contributions to this topic, with the majority (86, or 55.1%) published between January 2019 and March 2024, including some publications from our group during those periods. The inclusion criteria were based on articles published in recognized scientific journals with high contributions to the proposed topic. We excluded articles not emphasizing molecular biomarkers in refine the pre-surgical diagnosis of thyroid nodules.

Results
We explored genetic biomarkers, considering the division of thyroid neoplasm into BRAF-like tumor and RAS-like tumor. The specificity of BRAF mutation in the diagnosis of papillary thyroid carcinoma (PTC) is nearly 100% but its sensitivity is below 35%. RAS mutations are found in a broad spectrum of thyroid neoplasm, from benign to malignant follicular-patterned tumors, but do not increase the ability to distinguish benign from malignant lesions. The overexpression of miRNAs is correlated with tumor aggressiveness, high tumor node metastasis (TMN) stage, and recurrence, representing a real signature of thyroid cancer, particularly PTC. In addition, associations between the expression levels of selected miRNAs and the presence of specific genetic mutations have been related with aggressiveness and worse prognosis.

Conclusions
The knowledge of genetic and molecular biomarkers has achieved a high level of complexity, and the difficulties related to its applicability determine that their implementation in clinical practice is not yet a reality. More studies with larger series are needed to optimize their use in routine practice. Additionally, the improvement of new techniques, such as liquid biopsy and/or artificial intelligence, may be the future for a better understanding of molecular biomarkers in thyroid nodular disease.
Preexposure Prophylaxis to Prevent Acquisition of HIV
Authors:   US Preventive Services Task Force, Barry Michael J. , Nicholson Wanda K. , Silverstein Michael , Chelmow David , Coker Tumaini Rucker , Davis Esa M. , Donahue Katrina E. , Jaén Carlos Roberto , Kubik Marti , Li Li , Ogedegbe Gbenga , Rao Goutham , Ruiz John M. , Stevermer James J. , Tsevat Joel , Underwood Sandra Millon , Wong John B. 
Published: August 2023

ImportanceAn estimated 1.2 million persons in the US currently have HIV, and more than 760 000 persons have died of complications related to HIV since the first cases were reported in 1981. Although treatable, HIV is not curable and has significant health consequences. Therefore, effective strategies to prevent HIV are an important public health and clinical priority.ObjectiveThe US Preventive Services Task Force (USPSTF) commissioned a systematic review to evaluate the benefits and harms of preexposure prophylaxis with antiretroviral therapy for the prevention of HIV acquisition, and the diagnostic accuracy of risk assessment tools to identify persons at increased risk of HIV acquisition.PopulationAdolescents and adults who do not have HIV and are at increased risk of HIV.Evidence AssessmentThe USPSTF concludes with high certainty that there is a substantial net benefit from the use of effective antiretroviral therapy to reduce the risk of acquisition of HIV in persons at increased risk of acquiring HIV.RecommendationThe USPSTF recommends that clinicians prescribe preexposure prophylaxis using effective antiretroviral therapy to persons at increased risk of HIV acquisition to decrease the risk of acquiring HIV. (A recommendation)
Effects of Bending on Nucleation and Injection of Oxygen Vacancies into the Bulk Lattice of Li‐Rich Layered Cathodes
Authors: Peng Haoyang , Zhuo Haoxiang , Xia Fanjie , Zeng Weihao , Sun Congli , Wu Jinsong 
Published: August 2023

AbstractThe degradation of Li‐ and Mn‐rich (LMR) cathodes primarily results from the thermodynamic instability of lattice oxygen and the resulting oxygen release. This is promoted by localized lattice strain, which develops dynamically during electrochemical reactions involving repeated Li‐ion intercalation and extraction. However, the role of chemomechanical strain in degrading lattice oxygen's stability is not yet well‐understood. Here, the research indicates that uneven strain distribution causes bending, resulting in lower activation energy for oxygen vacancy creation and injection into particle interiors at bending points. Combining in situ transmission electron microscopy and theoretical simulations, it is shown that the largest O─O interaction occurs at the maximum curvature point, reducing Mn─O bonding strength, promoting oxygen dimer formation, and eventually initiating oxygen release from LMR. As a result, a process is designed to adjust the Li‐content and the distribution of the two‐phase structure, achieving better cycling stability in LMR cathodes with a more balanced distribution of strain. These results provide insights into enhancing LMR cycling stability while utilizing their high capacity.
Ambient‐Stable 2D Dion–Jacobson Phase Tin Halide Perovskite Field‐Effect Transistors with Mobility over 1.6 Cm2 V−1 s−1
Authors: Qiu Xincan , Xia Jiangnan , Liu Yu , Chen Ping‐An , Huang Lanyu , Wei Huan , Ding Jiaqi , Gong Zhenqi , Zeng Xi , Peng Chengyuan , Chen Chen , Wang Xiao , Jiang Lang , Liao Lei , Hu Yuanyuan 
Published: August 2023

AbstractSolution‐processed metal halide perovskites hold immense potential for the advancement of next‐generation field‐effect transistors (FETs). However, the instability of perovskite‐based transistors has impeded their progress and practical applications. Here, ambient‐stable high‐performance FETs based on 2D Dion–Jacobson phase tin halide perovskite BDASnI4, which has high film quality and excellent electrical properties, are reported. The perovskite channels are established by engineering the film crystallization process via the employment of ammonium salt interlayers and the incorporation of NH4SCN additives within the precursor solution. The refined FETs demonstrate field‐effect hole mobilities up to 1.61 cm2 V−1 s−1 and an on/off ratio surpassing 106. Moreover, the devices show impressive operational and environmental stability and retain their functional performance even after being exposed to ambient conditions with a temperature of 45 °C and humidity of 45% for over 150 h.
Selective Monoarylation of Ammonium Triflate with Aryl Chlorides Catalyzed by [Pd(β‐MeNAP)Br]2 and AdBrettPhos
Authors: Xue Bingxiang , Shen Jie , Manna Sourav , Doppiu Angelino , Gooßen Lukas J. 
Published: August 2023

AbstractThe selective introduction of a primary amino group into aromatic compounds is a desirable transformation, but is challenging due to competing double arylation. A catalyst generated from β‐methylnaphthyl (MeNAP) palladium bromide and the bulky ligand biphenyl‐diadamantylphosphine (AdBrettPhos) has been found to promote the amination even of non‐activated aryl chlorides with ammonium triflate within 30 min at 80 °C to the primary anilines. The efficiency of the protocol was evaluated in comparative experiments, its versatility documented by the synthesis of various primary anilines including drug‐like molecules.
Promote Stable Lithium Deposition by Curvature Optimization Using Lithiophilic Ni Nano‐starfish@Al Structured Current Collector
Authors: Hu Wang , Ju Shenghong , Huang Xiang , Li Feifei , Li Ming , Wu Yunwen 
Published: August 2023

AbstractLithium(Li) metal is an anode candidate for rechargeable batteries due to its ultra‐high theoretical capacity and extremely low standard potential. However, the dendritic Li and dead Li have hindered the practical application of next‐generation batteries. Constructing 3D anode current collectors can not only decrease the local current density but also relieve the volume expansion. Herein, the 3D Ni nano‐starfish@Al(NSA) is synthesized as anode current collectors. Compared with the 3D Ni nano‐cone@Al(NCA) with sharp cone tips, the NSA shows a superior cycle performance, especially at high current density. This is because the NSA has a more uniform surface curvature than NCA, which makes the electric field distribution more homogeneous and reduces the local electric field, thereby inducing the even deposition of Li and suppressing the growth of Li dendrites. The NSA@Li anode gives superior cycling performance over 2800 h at a current density of 4 mA cm−2 in a symmetric cell. A full cell paired with LiFePO4 cathode shows high Coulombic efficiency of 96.8% approaching 200 cycle‐life at 0.5 °C. This work provides a view of the microstructure design of current collectors for achieving better performance Li metal batteries.
Magnetic Manganese‐Based Micromotors MnFe2O4@Fe3O4/graphite and Mn2O3@Fe2O3@Fe3O4/graphite for Organic Pollutant Degradation
Authors: Kichatov Boris , Korshunov Alexey , Sudakov Vladimir , Golubkov Alexandr , Smovzh Dmitriy , Sakhapov Salavat , Skirda Mikhail 
Published: August 2023

AbstractWastewater pollution with organic compounds poses a serious threat to human health. One of the possible methods for solving these problems can be the use of micro/nanomotors. Among them, manganese‐based micro/nanomotors have a number of important advantages related to high catalytic activity, powerful motion, and low cost. Due to their mobility, micro/nanomotors promote an increase in the intensity of mass transfer in the reacting system. When introducing ferromagnetic elements into manganese‐based micro/nanomotors, it is possible not only to increase their motion speed, but also to make their motion more controllable. Herein, for the first time it demonstrates a synthesis method for MnFe2O4@Fe3O4/graphite and Mn2O3@Fe2O3@Fe3O4/graphite magnetic catalytic micromotors, which have remarkable photocatalytic properties. Micromotors are clusters of nanoparticles whose motion in a hydrogen peroxide solution in a non‐uniform magnetic field is caused by the action of magnetic force and self‐diffusiophoresis. Nanoparticles are synthesized by the plasma‐arc method with subsequent annealing in the air. When changing the annealing temperature, the catalytic and magnetic properties of nanoparticles can vary within a wide range of values. Micromotors MnFe2O4@Fe3O4/graphite have the most optimal catalytic and magnetic properties. The results of the research show that these micromotors are effective catalysts in the decomposition of methylene blue.
RETRACTED: A Stress Self‐Adaptive Silicon/Carbon “Ordered Structures” to Suppress the Electro‐Chemo‐Mechanical Failure: Piezo‐Electrochemistry and Piezo‐Ionic Dynamics
Authors: Zhao Hongshun , Liang Kang , Wang Shijie , Ding Zhengping , Huang Xiaobing , Chen Wenkai , Ren Yurong , Li Jianbin 
Published: August 2023

AbstractConstruction of ordered structures that respond rapidly to environmental stimuli has fascinating possibilities for utilization in energy storage, wearable electronics, and biotechnology. Silicon/carbon (Si/C) anodes with extremely high energy densities have sparked widespread interest for lithium‐ion batteries (LIBs), while their implementation is constrained via mechanical structure deterioration, continued growth of the solid electrolyte interface (SEI), and cycling instability. In this study, a piezoelectric Bi0.5Na0.5TiO3 (BNT) layer is facilely deposited onto Si/C@CNTs anodes to drive piezoelectric fields upon large volume expansion of Si/C@CNTs electrode materials, resulting in the modulation of interfacial Li+ kinetics during cycling and providing an electrochemical reaction with a mechanically robust and chemically stable substrate. In‐depth investigations into theoretical computation, multi‐scale in/ex situ characterizations, and finite element analysis reveal that the improved structural stability, suppressed volume variations, and controlled ion transportation are responsible for the improvement mechanism of BNT decorating. These discoveries provide insight into the surface coupling technique between mechanical and electric fields to control the interfacial Li+ kinetics behavior and improve structural stability for alloy‐based anodes, which will also spark a great deal attention from researchers and technologists in multifunctional surface engineering for electrochemical systems.
Project DREAM: Iterative development of an afterschool program with an emphasis on youth–adult relationships
Authors: Hurd Noelle M. , Billingsley Janelle 
Published: August 2023

AbstractThe current manuscript describes the iterative development of an afterschool intervention aimed at fostering supportive relationships between adolescents and adults from their everyday lives. Project DREAM (Developing Resourcefulness, Engagement, Acceptance, and Mentoring) is a novel afterschool preventive intervention aimed at promoting youths' improved academic outcomes via gains in social and emotional development and their connectedness with nonparental adults. The purpose of the iterative development process was to improve the intervention to make it maximally usable and acceptable to the intended users and participants. The iterative development process was informed by data collected from advisory boards, focus groups, interviews, and observations of program sessions. In the current article, we describe the methods implemented as part of this process and fully describe the resulting intervention revisions completed across the 2‐year period. We also summarize lessons learned.
Fabrication of NiCo2O4@polyaniline heterostructure as positive electrode for asymmetrical supercapacitor
Authors: Li Xinxiu , Xie Haidong , Feng Yong , Qu Yuqing , Zhai Lidong , Sun Hehang , Liu Xiongfei , Hou Chunping 
Published: August 2023

AbstractNiCo2O4, as a low‐cost and high‐performance binary transition metal oxide material, has been widely used in the fabrication of supercapacitor electrodes. However, the low energy density of binary metal oxides limits their large‐scale practical applications in supercapacitors, so it is highly desirable to design the structure of the NiCo2O4‐based supercapacitor. Therefore, in this paper, NiCo2O4 is compounded with polyaniline (PANI) to improve its electrochemical performance by exploiting the synergistic effect. The NiCo2O4@PANI composite electrode exhibits a specific capacitance of 561.2 F/g at 10 mV/s. In this study, asymmetric supercapacitors are assembled with NiCo2O4@PANI as the positive electrode and MXene as the negative electrode. The NiCo2O4@PANI‐CC//MXene‐CC supercapacitor has a specific capacitance of 31.95 F/g at a scan rate of 10 mV/s and a good cycle retention capacity of 86.2% after 3000 cycles. The excellent electrochemical performances are attributed to the dynamic equilibrium and fast redox kinetics of the two electrodes.
Dynamic cooperative learning control of output‐feedback systems with output constraints
Authors: Zhang Weiguang , Weng Zhi , Xie Jin , Gao Fei 
Published: August 2023

AbstractThis paper investigates the dynamic cooperative learning control for high‐order output‐feedback systems under the output constraints. To avoid complex computation, we use a system transformation strategy in control design. Only one neural network (NN) is employed to approximate the unknown synthetic function for each agent. Subsequently, a NN‐based cooperative learning control mechanism is designed by introducing the barrier Lyapunov function (BLF). The proposed mechanism expands the NN approximation domain of the transformed systems, and the output of all subsystems remains constrained. Further, the NNs on identified uncertain system dynamics are used to construct the experience‐based controllers to carry out same control tasks. Finally, the theoretical authenticity is demonstrated by a numerical example.
Prediction of the hand function part of the Fugl‐Meyer scale after stroke using an automatic quantitative assessment system
Authors: Chen Shugeng , Lin Xiaolei , Fu Jianghong , Qian Yeye , Chen Zihang , Huang Zhanbo , Liu Qiang , Lu Xiaofeng , Jia Jie 
Published: August 2023

AbstractHand function assessment is an essential component of the process of stroke rehabilitation because of the high incidence of hand motor dysfunction. In terms of the manual evaluation of hand function, the Fugl‐Meyer scale is a recommended scale with high reliability and validity. However, the need for accurate assessments and increasing developments in technology has led to the promotion of automatic quantitative assessment systems for the hand. In this study, we collected quantitative data on hand function with an automatic system and the upper limb Fugl‐Meyer assessment (FMA) from 79 people with stroke. We developed decision tree (DT) and gradient‐boosted decision tree (GBDT) predictive models for the Fugl‐Meyer score using features extracted from the Hand Automatic Quantitative Assessment System (HAQAS). Predictive performances were compared between these models regarding the predictive accuracy and Cohen's kappa. There were high correlations between features automatically collected by the HAQAS and the Fugl‐Meyer scale in all the sub‐items, with the maximal correlations all being over 0.5, indicating the high validity of the HAQAS in automatic FMA prediction. Hand functions were more highly correlated (average correlation coefficient 0.90) with HAQAS features than wrist functions (average correlation coefficient 0.54), and the GBDT achieved higher predictive accuracies and agreement than the DT algorithm. We conclude that the HAQAS is feasible for stroke patients with hand dysfunction and convenient for clinicians and therapists. This study was registered in the Chinese Clinical Trial Registry (ChiCTR1800019098).
Why do (some) German car manufacturers go electric? The role of dynamic capabilities and cognitive frames
Authors: Loder Julia , Rinscheid Adrian , Wüstenhagen Rolf 
Published: August 2023

AbstractAfter the internal combustion engine was the dominant technology in the automotive industry for more than a century, a transition to electric cars is now under way. However, not all car manufacturers seem equally determined to move away from fossil fuels. Based on a comparative case study of German automakers, we discuss some underlying factors associated with variation in electrification strategies. Conceptually, we focus on firms' dynamic capabilities—in particular, their ability to sense low‐carbon risks and opportunities in a changing business environment. Building on qualitative interviews, we gauge sensing capabilities through industry executives' cognitive frames. Our analysis reveals striking differences in the way executives perceive the opportunities and risks associated with electric mobility. In particular, firms' dynamic capabilities to shape the low‐carbon transition are tied to their conceptions of consumer preferences and the economics of the transition, their perception of network embeddedness, prior experiences with technological innovation, and leadership.