bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inteligencia emocional y calidad de vida en período de aislamiento social, preventivo y obligatorio durante la pandemia por COVID-19
Authors: Pallotto Natalia Jimena , De Grandis María C. , Gago-Galvagno Lucas G. 
Published: October 2021

Se propuso describir los niveles de las variables inteligencia emocional (IE) y calidad de vida (CV) en sujetos afectados por el contexto del aislamiento social, preventivo y obligatorio en Argentina a raíz de la pandemia por COVID-19, evaluar si existen relaciones significativas entre ellas y analizar si presentan diferencias en función de variables sociodemográficas. Se trabajó con una muestra conformada por 923 personas de géneros femenino y masculino, mayores de 18 años, de población general. Para el relevamiento de datos se utilizó un cuestionario sociodemográfico confeccionado ad hoc, la Trait Meta-Mood Scale (TMMS-24) —una escala para evaluar la inteligencia emocional percibida— y el Multicultural Quality of Life Index (MQLI), o índice multicultural de calidad de vida. La muestra fue contactada virtualmente entre el 29 de marzo y el 6 de julio de 2020. Los resultados arrojaron que la correlación entre las variables IE y CV fue significativa. Las dimensiones de dichas variables presentaron una fuerza de relación débil entre sí, exceptuando atención emocional, que correlacionó con una fuerza de vínculo fuerte con plenitud espiritual y apoyo social-emocional, y moderadamente con funcionamiento interpersonal. Los niveles de la variable CV se describen como buenos para la mayoría de los sujetos de la muestra. Los niveles de IE se describen como adecuados para ambos géneros en casi todas las subescalas exceptuando la dimensión claridad emocional, resultando poca para el masculino y adecuada para el femenino. Respecto al vínculo de IE y CV en función de variables sociodemográficas, se obtuvieron diferencias significativas entre grupos; y el grupo etario 71-80 años, quienes no consumen sustancias psicoactivas suscriptas por un profesional y los que poseen una red de contención recreativa obtuvieron mayores puntuaciones. En conclusión, si bien se encontraron asociaciones, los resultados sugieren la necesidad de estudios longitudinales que contemplen las diferentes fases de la cuarentena
Por uma ética da alteridade em tempos de pandemia
Authors: Vargas Jackson Luís Santos de , Ferraro José Luís Schifino 
Published: October 2021

O presente ensaio aborda a pandemia do SARS-Cov-2, causador da Covid-19, e o pensamento contraditório em relação as medidas de isolamento social adotadas pelos governos estaduais no Brasil à luz da filosofia de Emmanuel Levinas. Nesse sentido, o trabalho objetiva trazer outra mirada sobre essa crise, destacando a ética da alteridade como filosofia primeira para o enfrentamento da crise sanitária. No episódio analisado observou-se que a busca por interesses próprios não considera os do outro, não atentando para cuidados relacionados à sua integridade física e mental. O argumento econômico aparece como elemento central para a quebra do isolamento horizontal sobrepondo-se às vidas. A normalização das mortes como resultado da análise de riscos que não considera a condição humana, produzindo a falsa impressão de que a verticalidade do isolamento seria suficiente para a gestão da crise. Nesse sentido, enfatizamos a necessidade de uma percepção de mundo a partir da ética da alteridade que evidencia e enfatiza a responsabilidade do mesmo com o outro e, principalmente, a necessária preservação da vida como prioridade, acima de quaisquer interesses possíveis.
Montserrat Corretger & Oriol Teixell (eds.), «Literatura catalana contemporània: patrimoni i identitat», Barcelona, Institut d’Estudis Catalans / Universitat Rovira i Virgili, 2019, 251 p. // Josep Camps Arbós & Maria Dasca (eds.), «La narrativa catalana al segle XXI, balanç crític», Barcelona, Institut d’Estudis Catalans, 2019, 139 p.
Authors: Hernàndez i Garcia Xavier 
Published: October 2021

Ressenyes sobre els llibres següents:
Montserrat Corretger & Oriol Teixell (eds.), Literatura catalana contemporània: patrimoni i identitat, Barcelona, Institut d’Estudis Catalans / Universitat Rovira i Virgili, 2019, 251 p., ISBN: 978-84-9965-456-0.
Josep Camps Arbós & Maria Dasca (eds.), La narrativa catalana al segle xxi, balanç crític, Barcelona, Institut d’Estudis Catalans, 2019, 139 p., ISBN: 978-84-9965-464-5.
The Demonstration Society
Authors: Rosental Claude 
Published: October 2021

Today, as in the past, public demonstrations are not only tools to prove, persuade, and promote, but also fundamental forms of social interaction and exchange.
YouTube demos of makeup products by famous influencers, demonstrations of strength during street protests, demonstrations of military might in North Korea: public demonstrations are omnipresent in social life. Yet they are often perceived as isolated events, unworthy of systematic examination. In The Demonstration Society, Claude Rosental explores the underlying dynamics of what he calls a “demonstration society.” He shows how, both in today's world and historically, public demonstrations constitute not only tools to prove, persuade, and promote, but fundamental forms of interaction and exchange, and, in some cases, attempts to lead the world.
Rosental compares demos with other forms of public demonstrations, drawing out both their peculiarities and common features. He analyzes the processes through which demonstrations are conceived and carried out, as well as the skills of their producers. He also compares contemporary demos with historical demonstrations including theaters of machines in the Renaissance, public demonstrations of natural philosophy in the seventeenth century, and demonstrations of the magic lantern in the nineteenth century. Above and beyond the entertainment they sometimes provide, demonstrations are experienced as intense moments that broadly involve alliances, material and symbolic goods, and, more generally, the future of individuals and collectives. Rosental elucidates the many ways in which we live today, as in the past, in a society of demonstration.
Dissection of Progressive Disease Patterns for a Modified Classification for Immunotherapy
Authors: Saal Jonas , Eckstein Markus , Ritter Manuel , Brossart Peter , Luetkens Julian , Ellinger Jörg , Grünwald Viktor , Hölzel Michael , Klümper Niklas 
Published: December 2024

ImportanceProgressive disease (PD) in patients treated with immune checkpoint inhibitors (ICIs) varies widely in outcomes according to the Response Evaluation Criteria in Solid Tumors (RECIST), version 1.1. Efforts to modify RECIST for ICI treatment have not resolved the heterogeneity in PD patterns, posing a clinical challenge.ObjectiveTo develop and validate a modified PD classification based on PD patterns and evaluate its association with postprogression survival (PPOS) in patients treated with the programmed cell death protein ligand 1 antibody atezolizumab across various solid tumors.Design, Setting, and ParticipantsThis study analyzed data from 5 phase 3 trials (IMmotion151, IMvigor211, OAK, Impower133, and IMspire150) involving patients treated with atezolizumab for renal cell carcinoma (RCC), urothelial carcinoma, small cell lung cancer, non–small cell lung cancer, and melanoma. This post hoc analysis was conducted from March to September 2024.ExposureTreatment with atezolizumab.Main Outcomes and MeasuresThe primary outcome was the association of PD patterns with PPOS. Seven PD patterns were identified based on the enlargement of target and nontarget lesions or new lesions and their combinations.ResultsA total of 1377 patients were analyzed across the 5 trials. In RCC, 7 PD patterns significantly affected prognosis. The 6-month PPOS probability ranged from 26% for progression in target and nontarget lesions plus new lesions to 90% for progression in either target or nontarget lesions alone. A modified PD classification was developed that categorized PD into 3 risk levels: low risk (progression of existing lesions), intermediate risk (new lesions without progression of existing lesions), and high risk (progression of existing lesions plus new lesions). This score was associated with PPOS in ICI-treated RCC, with hazard ratios of 0.23 (95% CI, 0.13-0.41; P &amp;lt; .001) and 0.39 (95% CI, 0.23-0.66; P &amp;lt; .001) for low-risk and intermediate-risk PD compared with high-risk PD, respectively. Validation in additional trials confirmed the score’s applicability across various tumors.Conclusions and RelevanceIn this study, a survival score was developed based on PD patterns. The risk classification was associated with PPOS across various solid tumors treated with immunotherapy and may therefore enhance prognostication and clinical decision-making, potentially providing a valuable tool for treating patients with PD who are receiving immunotherapy.
Enhancing Computing Capacity via Reconfigurable MoS2‐Based Artificial Synapse with Dual Feature Strategy for Wide Reservoir Computing
Authors: Lee Hyeonji , Oh Jungyeop , Ahn Wonbae , Kang Mingu , Park Seohak , Kim Hyunmin , Yoo Seungsun , Jang Byung Chul , Choi Sung‐Yool 
Published: December 2024

AbstractReservoir computing (RC) has garnered considerable interest owing to its uncomplicated network structure and minimal training costs. Nevertheless, the computing capacity of RC systems is limited by the material‐dependent physical dynamics of reservoir devices. In this study, an efficient neuromorphic reservoir device with adjustable reservoir states, achieved through the development of an electrically tunable three‐terminal charge trap memory, is introduced. This device utilizes molybdenum disulfide (MoS2) as the channel material and a perhydropolysilazane‐based charge trap layer. Notably, the absence of a tunneling layer in the device structure enables dynamic resistive switching, characterized by outstanding endurance and an excellent memory window. Furthermore, by implementing a simple input decay and refresh scheme, a reconfigurable neuromorphic device capable of multiple feature extraction and functioning as an artificial synapse is developed. The device's efficacy is validated through device‐to‐system‐level simulations within a hardware‐based wide RC (WRC) system, resulting in an improved recognition rate in the MNIST hand‐written digit recognition task from 87.6% to 91.0%, a testament to the enhanced computing capacity. This strategic approach advances the development of hardware‐based WRC systems, marking a significant step toward energy‐efficient reservoir computing.
Stabilizing Electron‐Deficient Ru Nanoclusters via Strong Electronic Metal‐Support Interaction for Practical Anion‐Exchange Membrane Electrolyzer
Authors: Wang Haidong , Jiao Yongxin , Zhang Guanghui , Ma Wence , Fan Wenjun , Liu Xinyi , Zhao Yun , Xie Haijiao , Ma Weiguang , Zong Xu 
Published: December 2024

AbstractRuthenium (Ru)‐based hydrogen evolution reaction (HER) electrocatalysts are promising candidates for assembling high‐performance anion exchange membrane water electrolyzer (AEMWE) while their intrinsic activities are restricted due to the strong Ru─H bond strength. Herein, we present the synthesis and stabilization of electron‐deficient Ru nanoclusters on oxygen‐functionalized carbon nanotube (Ru/O‐CNT) via strong electronic metal‐support interaction (EMSI) toward highly efficient and stable alkaline HER. A scalable high‐temperature shock method is used to anchor Ru nanoclusters on O‐CNT, which suppresses the aggregation of Ru clusters and the loss of O anion during synthesis, thus strengthening the EMSI between the two components via Ru–O–C link. The strong EMSI helps to stabilize Ru at electron‐deficient state at reductive potentials and optimizes the Ru─H bond strength. Consequently, Ru/O‐CNT delivers outstanding performances for alkaline HER with a small overpotential of 10 mV at 10 mA cm−2, which is superior to the benchmark Pt/C and most reported Ru‐based electrocatalysts. More impressively, an AEMWE assembled with Ru/O‐CNT as cathode achieves high current densities of 1 and 5 A cm−2 at low cell voltages of 1.68 and 2.09 V, respectively, at a Ru mass loading of only 20 µg cm−2.
A Physically‐Based Machine Learning Approach Inspires an Analytical Model for Spider Silk Supercontraction
Authors: Fazio Vincenzo , Malay Ali D. , Numata Keiji , Pugno Nicola M. , Puglisi Giuseppe 
Published: December 2024

AbstractScientific and industrial interest in spider silk stems from its remarkable properties, including supercontraction—an activation effect induced by wetting. Understanding the underlying molecular scale mechanisms is then also crucial for biomimetic applications. In this study, it is illustrated how the effective integration of physically‐based machine learning with scientific interpretations can lead to significant physical insights and enhance the predictive power of an existing microstructure‐inspired model. A symbolic data modeling technique, known as Evolutionary Polynomial Regression (EPR), is employed, which integrates regression capabilities with the genetic programming paradigm, enabling the derivation of explicit analytical formulas for deducing structure‐function relationships emerging across different scales, to investigate the impact of protein primary structures on supercontraction. This analysis is based on recent multiscale experimental data encompassing a diverse range of scales and a wide variety of different spider silks. Specifically, this analysis reveals a correlation between supercontraction and the repeat length of the MaSp2 protein as well as the polyalanine region of MaSp1. Straightforward microstructural interpretations that align with experimental observations are proposed. The MaSp2 repeat length governs the cross‐links that stabilize amorphous chains in dry conditions. When hydrated, these cross‐links are disrupted, leading to entropic coiling and fiber contraction. Furthermore, the length of the polyalanine region in MaSp1 plays a critical role in supercontraction by restricting the extent of crystal misalignment necessary to accommodate the shortening of the soft regions. The validation of the model is accomplished by comparing experimental data from the Silkome database with theoretical predictions derived from both the machine learning and the proposed model. The enhanced model offers a more comprehensive understanding of supercontraction and establishes a link between the primary structure of silk proteins and their macroscopic behavior, thereby advancing the field of biomimetic applications.
3D‐Printed Dual‐Bionic Scaffolds to Promote Osteoconductivity and Angiogenesis for Large Segment Bone Restoration
Authors: Chen Bo , Chen Qi , Zhang Haodong , Zhang Donghui , Li Cuidi , Ma Ke , Dou Mengyue , Lu William Weijia , Qi Jin , Deng Lianfu , Liu Runhui , Cui Wenguo 
Published: December 2024

AbstractLarge segment bone defects pose a significant challenge in the field of orthopedic surgery, requiring effective and innovative approaches for restoration. However, many existing scaffolds are bioinert and do not support crucial processes such as cell adhesion, proliferation, and vascularization. In this study, a dual‐bionic 3D printing bredigite scaffold is developed, featuring a combination of physical structure and bioactive functions. Specifically, the structure‐mimetic scaffold has an isotropic single‐cell structure suitable for defects with varying load‐bearing requirements and allowing the ingrowth of vessels and bone. Meanwhile, an extracellular matrix peptide‐mimetic β‐amino acid polymer DM50CO50 and deferoxamine are modified onto the scaffold simultaneously to promote the adhesion of bone marrow mesenchymal stem cells and vascularization. The dual‐bionic scaffolds demonstrate outstanding osteogenic and angiogenic properties in a rat model with large segment bone defects to promote bone restoration, implying a promising strategy in designing scaffolds to promote osteoconductivity and angiogenesis for large segment bone restoration.
Integrating Hydrogels and Biomedical Plastics via In Situ Physical Entanglements and Covalent Bonding
Authors: Ma Zhenwei , Obuseh Favour O. , Freedman Benjamin R. , Kim Junsoo , Torre Matthew , Mooney David J. 
Published: December 2024

AbstractBoth rigid plastics and soft hydrogels find ample applications in engineering and medicine but bear their own disadvantages that limit their broader applications. Bonding these mechanically dissimilar materials may resolve these limitations, preserve their advantages, and offer new opportunities as biointerfaces. Here, a robust adhesion strategy is proposed to integrate highly entangled tough hydrogels and diverse plastics with high interfacial adhesion energy and strength. Systemic investigations on the effects of hydrogel monomer content and crosslink fraction revealed the significant contributions of both polymer physical entanglements and interfacial covalent bonding. This hybrid engineering strategy also enables the plastic‐hydrogel composite to attenuate foreign body response caused by pristine rigid plastics in vivo in mice. This versatile materials engineering approach may be broadly applicable to other polymer‐based devices commonly used in regenerative medicine and surgical robotics.
Area Selective Atomic Layer Deposition for the Use on Active Implants: An Overview of Available Process Technology
Authors: Simon Nicolai , Stieglitz Thomas , Bucher Volker 
Published: December 2024

AbstractArea‐selective atomic layer deposition (ASD) is a bottom‐up process that is of particular importance in the semiconductor industry, as it prevents edge defects and avoids cost‐intensive lithography steps. This approach not only offers immense potential for the manufacture of active implants but can also be used to improve them. This review paper presents various processes that can be used for this purpose. It also identifies aspects that shall be considered when implementing such a process for medical applications. For example, the inherent selectivity can be used to produce new biosensors, the passivated ASD can be used to encapsulate polymer‐based implants, and the activated ASD can be used to improve electrode performance. Finally, the aspects that shall be considered in a coating for active implants are highlighted. ASD therefore offers great potential for use on active implants.
An Antifreezing Scaffold‐Based Cryopreservation Platform of Stem Cells for Convenient Application in Wound Repair
Authors: Zhou Shengxi , Zhang Kun , Li Mengya , Qi Kejun , Jia Danqi , Guan Fangxia , Sui Xiaojie 
Published: December 2024

AbstractEfficient cryopreservation of stem cells is crucial to fabricating off‐the‐shelf cell products for tissue engineering and regeneration medicine. However, it remains challenging due to utilization of toxic cryoprotectants for reducing ice‐related cryodamages to stem cells during freeze‐thaw cycle, stringent post‐thaw washing process, and further integration of stem cells with scaffolds to form tissue engineering constructs for downstream applications. Herein, a novel cryopreservation platform of stem cells based on an antifreezing polyvinylpyrrolidone/gellan gum/gelatin (PGG) scaffold together is reported with an L‐proline assisted cell pre‐dehydration strategy. Results show that this platform is capable of inhibiting extra‐/intracellular ice, thus can achieve high cryoprotection efficacy to stem cells (≈95%) without using any toxic cryoprotectants and eliminate traditional washing process. Meanwhile, the post‐thawed stem cells can maintain their proliferation, differentiation, and paracrine functionalities. More importantly, due to the biocompatibility and three dimensional structure of the PGG scaffold, the post‐thawed stem cell‐laden PGG scaffold can be directly used as tissue engineering constructs for wound repair by mitigating inflammation and promoting collagen deposition at regenerating tissue sites. This present work demonstrates the feasibility of antifreezing scaffold‐based cryopreservation platform of stem cells, which may advance the off‐the‐shelf stem cell‐laden tissue engineering constructs for clinical translation.
In Situ Conversion of Artificial Proton‐Rich Shell to Inorganic Maskant Toward Stable Single‐Crystal Ni‐Rich Cathode
Authors: Xue Haoyu , Liang Yongzhi , Huang Yuxiang , Ji Yuchen , Xu Zhongxing , Chen Xinhan , Wang Honghao , Liu Jiajie , Amine Khalil , Liu Tongchao , Tan Xinghua , Pan Feng 
Published: December 2024

AbstractSingle‐crystal high‐nickel oxide with an integral structure can prevent intergranular cracks and the associated detrimental reactions. Yet, its low surface‐to‐volume ratio makes surficial degradation a more critical factor in electrochemical performance. Herein, artificial proton‐rich (ammonium bicarbonate) shell is successfully introduced on the nickel‐rich LiNi0.92Co0.06Mn0.02O2 single crystals for in situ electrochemically conversing into inorganic maskant to enhance stability of cathode. The process is that the surficial enriched proton, once released from the ammonium bicarbonate shell (proton reservoir) during 1st charge, is immediately captured by LiPF6, in situ electrochemically conversing to LiF and Li3PO4 sub‐nano particle dense maskant (sub‐nano F‐&P‐maskant). The in situ formed compact nano F‐&P‐maskant significantly resists the cathode against electrolyte attack and improves the surface stability of particles during long‐term cycling. Consequently, this surface modification enables 95% capacity retention after 100 cycles at a high voltage of 4.5 V in the half cell and 83% capacity retention after 800 cycles in the full cell. This work demonstrates a strategy for reconstructing the protective layer using the rational design of surficial enriched proton shells for advanced lithium batteries.
Bipolar Modulation in a Self‐Powered Ultra‐Wide Photodetector Based on Bi2Se3/AlInAsSb Heterojunction for Wavelength‐Sensitive Imaging and Encrypted Optical Communication
Authors: Han Yajie , Jiao Shujie , Zhang Xiangyu , Rong Ping , Zhao Yue , Jiang Dongwei , He Wen , Wang Dongbo , Gao Shiyong , Wang Jinzhong 
Published: December 2024

AbstractBroadband photodetectors (PDs) have garnered significant attention due to their ability to detect optical signals across a wide wavelength range, with applications spanning military reconnaissance, environmental monitoring, and medical imaging. However, existing broadband detectors face several practical challenges, including limited detection range, uneven photoresponse, and difficult to distinguish multispectral signals. To address these limitations, this study presents a self‐powered ultra‐wide PD based on the Bi2Se3/AlInAsSb heterojunction. The device can detect signals across a wide wavelength range from 250 nm to 1900 nm, exhibiting outstanding optoelectronic performance with a maximum responsivity of 0.5 A W−1, a detectivity of 4.2 × 1012 Jones, a switching ratio of 1.1 × 104, and an external quantum efficiency of 71.4%. Furthermore, the detector achieves a detectivity greater than 1010 Jones across the entire broadband range, significantly improving photoresponse uniformity. Notably, due to the differential band alignment of the two materials across spectral ranges, this detector exhibits a photocurrent polarity reversal in the 650–680 nm range. Leveraging its broadband and bipolar characteristics, this PD successfully enables secure information encryption in communication systems. This study significantly advances broadband PD technology, enhancing its practical uses and introducing innovative solutions for secure communications, thus strengthening communication security and confidentiality.