bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phosphorus Doping Heterostructure La(OH) 3 @CuO @NF as Advanced Electrocatalysts for Oxygen Reduction Reaction
Authors: LIANG Dandan , HOU Weili , ZHANG Ying , SHANG Jihua , REN Haibo , SUN Yufeng 
Published: June 2024

Abstract

Due to the prevailing energy shortages, the quest for new alternative energy sources is growing increasingly urgent. Hydrogen production through water electrolysis has become a crucial method. However, the slow four-electron reaction in oxygen evolution reaction (OER) becomes the main rate-limiting step. In this study, we propose obtaining heterostructure La(OH)3@CuO-P after composite phosphatisation using nickel foam (NF) as the substrate material. The experimental results demonstrate that the heterostructure La(OH)3@CuO exhibits an overpotential of 365mV at a current density of 10mA/cm2 , and displays a Tafel slope value of 114.02mF/dec, a bilayer capacitance of 1.853mF/cm2 for OER in a 1 M KOH solution. After phosphating, the heterostructure La(OH)3@CuO-P exhibits exceptional catalytic performance with only 215 mV overpotential, a Tafel slope value of 79.36 mV/dec, and a bilayer capacitance of 34.73mF/cm2 at a current density of 10mA/cm2 . Moreover, it also exhibits relatively stable performance during cyclic voltammetry testing for up to1000 cycles. Analyses suggest that the formation of a heterojunction structure in La(OH)3@CuO-P effectively addresses the issues of insufficient conductivity of La(OH)3 and tendency for CuO monomer aggregation while maintaining excellent properties for each component. The substitutional P atom doping not only adjusts the electronic structure and optimizes the adsorption free energy of -OH but also reduces sample size and increases catalytic active sites, thereby further enhancing the OER performance of the material.
Neuropsychological and Psychosocial Assessment of Small and Non- Small Lung Cancer Patients: A Study Protocol
Authors: Capetti Benedetta , Conti Lorenzo Conti , Marzorati Chiara , Chiari Matteo , Casiraghi Monica , Grasso Roberto , Pravettoni Gabriella 
Published: June 2024

Abstract

Background
Early diagnosis and effective treatments have favored the survival of cancer patients, but have also generated adverse consequences including cognitive impairment and psychological distress, which are related to both disease progression and the side effects of pharmacological agents. However, there is little data in the literature concerning such adverse effects in patients with lung cancer. This study protocol will investigate the occurrence of cognitive impairment in patients with non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) undergoing adjuvant therapies or surgery in the year following enrollment.
Methods
This longitudinal study will recruit around 200 lung cancer patients (NSCLC and SCLC patients). To explore the cognitive profile pre- and post-oncological treatment, a cognitive evaluation will be administered to each lung cancer patient at baseline (T0), 4 (T1), and 12 months (T2) after the end of treatments. A cognitive screening will be assessed with the Montreal Cognitive Assessment and Mini-Mental State Examination. Executive functions will be investigated with the Frontal Assessment Battery, the Stroop Color Word test, the phonemic fluency test, and the Modified Five-point Test. Memory and learning will be examined with Rey's auditory verbal learning test, whereas working memory will be assessed with the Digit Span test and the Corsi Block-tapping Test. Finally, attention will be investigated with the Trail Making Test and the Symbol Digit Modalities Test. In addition, perceived cognitive impairment, anxious and depressive symptoms, cognitive reserve, sleep patterns, and patient's quality of life will be also investigated using self-report tools. The cognitive impairment will be identified by adopting the criteria proposed by the International Cognition and Cancer Task Force (2 + test scores ≤ − 1.5 SDs or 1 + test score ≤ − 2.0 SDs, from the normative mean).
Discussion
The results could have relevant implications for managing cognitive impairment and its impact on the quality of life of lung cancer patients. Through a systematic cognitive assessment and its associated risk factors, this study aims to provide valuable insights into clinical practice, enhancing the development of neuropsychological protocols.
The research on the surface discharge intensity and its damage to the pressboard in oil-paper insulation under different hydraulic pressures
Authors: Hu Guangcai , Yang Daiwen , Zhou Jianbing , Tan Yifang , Wu Jie , Mou Shirong , Lu Qifu , Zhu Xinyu 
Published: June 2024

Abstract

Almost all of the inside conducting components of a power transformer are insulated by oil and paper, which have crucial impact on the transformer’s safety. The degradation of oil-paper insulation is caused by discharge to a major extent, which is affected by hydraulic pressure to a large extent. In this work, the surface partial discharge in oil-paper insulation under different hydraulic pressures is carried out in a set of self-designed test device for the first time. Four discharge parameters were recorded with the help of a commercial partial discharge detector. The partial discharge inception voltage (PDIV) and breakdown voltage increased with pressure, but the rising rates decreased with the increasing of pressure. The difference between the breakdown voltage and the PDIV decreased initially and then increased at a tiny rate with the hydraulic pressure. The discharge parameters tended to decrease with the increase of pressure on the whole, and the average partial discharge value and partial discharge power decreased with no exception. The superficial phenomena and microstructure were displayed and compared to demonstrate the structure destruction caused by discharge. The chemical groups and element contents were observed to deduce the underlying principle of the change on the pressboards. These results are conducive to operating and maintaining oil-paper equipment in high-altitude areas. It also lays the foundation to reduce the size and weight of oil-paper insulation equipment by adjusting hydraulic pressure inside power transformers.
Dimension compensation of desktop LCD 3D printer for high-precision microfluidic applications
Authors: Zhang Xinjie , Liu Yuyang , Bao Yang , Zheng Zixiao , Mi Jian , Tang Yuxin , Zhang Qiwen , Oseyemi Ayobami Elisha 
Published: June 2024

Abstract

Recent advances in low-cost liquid crystal display (LCD) 3D printing have popularized its use in creating microfluidic master molds and complete devices. However, the quality and precision of these fabrications often fall short of the rigorous standards required for advanced microfluidic applications. This study introduces a novel approach to enhance the dimensional accuracy of microchannels produced using a desktop LCD 3D printer. We propose a method for dimension compensation, optimize the printing parameters, and provide a straightforward post-treatment technique to ensure high-quality curing of polydimethylsiloxane (PDMS) in master molds made from photosensitive resin. Our investigation assesses the precision of 3D printing across three different scales of square cross-section microchannels by measuring their widths and heights, leading to the determination of optimal layer thicknesses that minimize fabrication errors. The fabrication errors are further reduced by introducing a series of dimension compensation factors, which correct the nominal dimensions of the microchannels by using the compensation factors in 3D printing. The printing accuracy is significantly improved after compensation even in fabricating complex microchannels of triangular cross-sections. Finally, a spiral channel of trapezoidal-like cross-section with tilted edges is fabricated for microfluidic application, and highly efficient particle separation is realized in the channel. The proposed method provides new insights for utilizing desktop LCD 3D printers to achieve high-accuracy microstructures necessary for advanced microfluidic applications.
Analyzing Creep Behavior in Overhead Conductors: Experimental Insights and Discussion
Authors: Parvizi Pooya , Tahne Behrooz Abdi , Jalilian Milad , Parvizi Hana , Farahani Ladan , Mokhtarizad Atefeh , Amidi Alireza Mohammadi , Zangeneh Mohammad Reza 
Published: June 2024

Abstract

Improving the transmission and distribution infrastructure is essential given the increasing demand for electricity from consumers, the aging infrastructure, the impacts of climate change, and the evolving requirements of new technologies. Electric utility companies are continuously exploring methods to enhance their overhead lines (OHL), either by uprating with larger conductors or by adopting high-temperature low-sag (HTLS) conductors. The deformation of conductors, known as creep, significantly influences the performance of OHL. While creep behavior is typically investigated through time-consuming and costly experimental methods, this study examines experimental creep tests on various types of HTLS Aluminum Conductor Steel Supported (ACSS) and Aluminum Conductor Steel Reinforced (ACSR) conductors. Additionally, a novel straightforward relation is proposed based on existing standards and resources to predict the creep of steel-supported conductors reasonably accurately. The proposed relation is compared against diverse test results and subsequently discussed.
Unveiling liver parasitism of Echinococcus granulosus mediated by protoscoleces-derived small extracellular vesicles
Authors: Yang Guangyou , Hua Ruiqi , Shao Guoqing , Zhu Xiaowei 
Published: June 2024

Abstract

Long-term liver infection represents a conserved parasitism of E. granulosus in the intermediate hosts. However, mechanisms of mediators driving liver parasitism remain unclear. Here, we elucidated the characteristics and composition of small extracellular vesicles originating from E. granulosus. Further, we unveiled target capacities, regulatory roles, and pathogenic properties of protoscoleces-derived small extracellular vesicles (PSC-sEV), which displayed a key mediator contributing to the pathogenesis of E. granulosus. By utilizing single-cell RNA-seq, we identified heterogeneity in the cell subpopulations (endothelial cells, myeloid cells, NK and T cells) regulated by PSC-sEV during liver infection of E. granulosus. Finally, we proposed a potential mechanism for achieving parasite-host communication through selective internalization of PSC-sEV in target cells and manipulation of cellular functions via miRNA-TF-mRNA networks. Our work underscores intercellular crosstalk landscapes of E. granulosus and host, highlighting the necessity of targeting PSC for therapeutic intervention and potential of PSC-sEV as a diagnostic biomarker.
A Data-driven Approach for FPSO Electric Power System Modelling
Authors: Junior Daniel Araujo , Ferreira Vitor Hugo , Pessoa Arthur Alves , Fortes Marcio Zamboti , Borba Bruno Soares Moreira Cesar , Augusto Andre Abel , Pinho Andre Costa , colombini Angelo Cesar , Boas Daniel Villas , Ramos Marcos Leonardo , Mafra gabriel Queiroga , Cavaliere Carlos André Carreiro 
Published: June 2024

Abstract

Industry 4.0 adoption in the oil and gas sector has introduced numerous AI-driven decision-making tools. However, data-driven modeling for oil platform simulators using historical production data is still relatively unexplored. Floating platforms, such as FPSOs, play a critical role in oil production, particularly in Brazil. Electrical power systems design for these platforms typically employs conservative risk measures, and historical data to determine electrical equipment factors is limited. Therefore, this paper presents the FPSO Power Demand Analytics (FPDA) tool for estimating electrical equipment load on oil and gas platforms, aiding daily production improvements, and supporting the design of new FPSOs based on operational history insights. FPDA is an open-source Python tool compatible with multiple platforms and utilizes historical data analytics and machine learning for modeling. Users can generate electrical diagrams and define loads through a configurable power flow model. FPDA consists of three distinct modules: Knowledge Discovery in Databases (KDD) for preliminary data analysis, Machine Learning (ML) for model training and demand forecasting, and Power Flow (PF) for aggregating demand projections and estimating generator/transformer demand. The algorithms were assessed using data from three different FPSOs with varying sampling periods and temporal horizons. Seven ML models were trained per device to predict active power demand based on process variables, and their performance was evaluated using two test scenarios and various statistical measures. The ML algorithms offered precise projections with minimal computational time, while the power flow module delivered consistent results requiring only a few seconds for simulation, making it suitable for planning environments.
Stable Lateral Heterostructure in All-inorganic Perovskites with Suppressed Halide Ions Migration
Authors: Zhuang Xiujuan , He Junyu , Li Yang , Sun Tongqing , Chu Anshi , Li Min 
Published: June 2024

Abstract

The dangling bonds and surface defects at the grain boundaries of three-dimensional (3D) perovskite provide convenient conditions for non-radiative recombination and ion migration, which degrades the stability of perovskite materials. Herein, we prepared single-component lateral epitaxial heterostructure perovskites using a one-step solution method by rare earth Er3+ doping. Through photoluminescence (PL) and time-resolved PL spectroscopy, the erbium-doped CsPb(BrxI1−x)3 heterostructure microplate forms a stable dual-wavelength emission with enhanced PL intensity and lifetime. We find that rare earth doping can effectively suppress ion migration by improving the ion migration barrier and facilitating the intrinsic stable heterostructure formation with desired dual-wavelength emission and improved radiation recombination rate. The discovery sheds a new perspective on inhibiting ion migration by trivalent B-site doping of rare earth ions and provides a basis for the preparation of single-component heterostructure perovskite.
A single-phase ferroelectric perovskite nitride integrated on silicon
Authors: Guo Er-Jia , Choi Songhee , Jin Qiao , Zi Xian , Zhang Jinfeng , Zhang Qinghua , Li Wei , Xu Shuai , Xu Yiheng , Chen Shengru , Hong Haitao , Cui Ting , Rong Dongke , Wang Qianying , Tang Gang , Ge Chen , Wang Can , Chen Zhi-Guo , GU Lin , Wang Lingfei , Li Qian , Wang Shanmin , Hong Jiawang , Jin Kuijuan 
Published: June 2024

Abstract

The integration of ferroelectrics with semiconductors is crucial for developing functional devices, such as field-effect transistors, tunnel junctions, and nonvolatile memories. However, the synthesis of high-quality single crystalline ferroelectric perovskite nitrides has been limited, hindering a comprehensive understanding of their switching dynamics and potential applications. Here we report the synthesis and characterizations of epitaxial single-phase ferroelectric cerium tantalum nitride (CeTaN3) on silicon. The atomically flat and ultrathin buffer layers provided an excellent template for the epitaxial growth of CeTaN3. The polar symmetry of CeTaN3 was confirmed through the atomic displacement of central ions with respect to the center of TaN6 octahedral and optical second harmonic generation technique. We observed an uneven distribution of ferroelectric microdomains within the films. The remanent polarization of CeTaN3 reaches 20–25 μC/cm² at room temperature, consistent with theoretical calculations. This work establishes a vital link between ferroelectric perovskite nitrides and their practical applications, paving the way for next-generation information and energy-storage devices with enhanced performance, scalability, and manufacturability.
Trampas al recuerdo, olvidos inducidos y memorias sesgadas. Representaciones sociales de hechos históricos
Authors: Villa Gómez Juan David , Mesa Norela , Barrera Machado Daniela , Quiceno Lina Marcela , Insuasty Rodríguez Alfonso 
Published: June 2024

Las representaciones sociales en torno a los hechos históricos del conflicto armado, están marcada por un sesgo cognitivo y mnémico, acompañado de olvidos y silencios y por procesos de atribución de responsabilidad en los que se asume como principal responsable y enemigo absoluto a las guerrillas, especialmente a las FARC-EP. Esto invisibiliza la responsabilidad de los otros actores (Paramilitares, Fuerza Pública y Estado), generando un olvidos convenientes e inducidos que son funcionales a los intereses de ciertos sectores sociales que ostentan el poder político, económico y mediático, que promueven impunidad y contribuyen al mantenimiento de la violencia política para detentar su poder. Estos procesos de memoria hegemónica se constituyen en barrera psicosocial para la construcción de la paz, la democracia y la reconciliación en Colombia.
Introduction to urban drainage asset management: if something exciting happens, we've done it wrong!
Authors: Cherqui Frédéric , Clemens-Meyer François , van Duin Bert , Tscheikner-Gratl Franz 
Published: June 2024

Abstract
This chapter introduces urban drainage (UD) asset management (AM) emphasizing on the scientific and practical developments over the past few decades. The book collates experiences from scientists and practitioners from around the world. A brief historical overview is provided outlining the journey from the urge for a broad application of UD systems in the 19th century born out of the awareness of public health, to the emergence of the necessity to embrace concepts as sustainability and the application of relatively new approaches that incorporate ‘building with nature’. The complexity of the tasks related to AM of urban drainage systems is briefly outlined along with an overview of the content of the remaining chapters.
Decision-making in urban drainage asset management
Authors: Scholten Lisa , Oomens Aad 
Published: June 2024

Abstract
Decision-making is at the core of urban drainage asset management (UDAM), but its importance is often underestimated, leading to a lack of improvement of decision quality in practice. Therefore, our objective is to present fundamental concepts and theories of decision-making from literature and compare them with real-world experiences of observing, supporting, and participating in UDAM decisions in the Netherlands. The observations are contrasted against selected observations from other nations to illustrate the potential impact of key factors on decision-making processes and outcomes. From this, we observe that despite the available UDAM literature and experiences suggesting otherwise, decision-making in UDAM practice tends to focus on information acquisition, cognitive processing, and judgmental processes. This can lead to known decision biases such as protection of mindset and following fragmented, path-dependent processes influenced by formal and informal structures or institutions. To improve decision-making in UDAM, it is necessary to look beyond optimization of existing assets within the pre-existing technical paradigm and instead work toward aligning it with governing structures and processes for effective decision-making at a system level. While the existing evidence – although limited and mostly anecdotal – is compelling, it does not allow for generalization or validation of theoretical propositions against practical findings and vice versa. We therefore see a need for strengthened efforts into a more systematic study of current UDAM practices that incorporates existing theories and empirical insights on decision-making from several disciplines. This will foster accumulation of knowledge and mutual learning to enhance the research and practice of UDAM decision-making.
A stepwise fast leakage localization method applying the strategy of dynamic area narrowing down for large-scale water distribution network
Authors: Li Zhirong , Han Deke , Pu Zhengheng , Wang Jiaying , Yan Hexiang , Tao Tao , Xin Kunlun 
Published: June 2024

ABSTRACT

Urban water distribution networks (WDNs) are facing serious leakage problems. As cities expand, the leakage localization burden on large WDNs gradually increases. Although methods have been widely researched, there is a lack of studies and successful applications for large-scale WDNs. To deal with this, a stepwise fast leakage localization Method, SFLLM, utilizing the `dynamic area narrowing down (DAND)' strategy and coupled leakage features (CLF) is proposed. The SFLLM includes a fast-and-dynamic stage using the DAND strategy to reduce the potential leakage area and an accurate localization stage. Only partial representative candidate locations are required to simulate leakages by DAND, and meantime CLF is used to analyze the leakage similarities so that the localization accuracy and efficiency can be improved. SFLLM was tested on a benchmark WDN, saving more than 88% of simulation by DAND strategy and achieving localization in 11 seconds. The results also proved the enhanced performance of CLF in ensuring the stability of the accuracy against various types of uncertainties that may occur in real WDNs. Moreover, three real burst leaks in an actual large-scale WDN were localized within 205 m in about 22 minutes by SFLLM, showing the method's reliable applicability in guiding field leak exploration.
Market instruments and institutions for reducing pollution in the Ganga River Basin
Authors: Dinesh Kumar M. , Ramdas Ambili , Vedantam Niranjan , Campling Paul , van Ermen Sofie , Mandal Saikat 
Published: June 2024

ABSTRACT
In this article, we take an integrated approach to water quality management of the Ganga River, considering the hydrological and ecological integrity of the basin and the economic viability of wastewater treatment options. This basically meant giving due consideration to the quantum and pattern of surface water flows in different river stretches, the vulnerability of groundwater to pollution, the dynamics of surface water–groundwater interactions, and prioritizing regions facing scarcity of water for competitive uses and environmental water stress as well as pollution, while devising strategies for water quality management. The use of market-based instruments and institutions for creating incentives and disincentives to affect behavioral changes was explored, following the identification of regions that are high-risk vis-à-vis groundwater pollution and river pollution.
Sprawca konieczny w przestępstwie usiłowania zawarcia małżeństwa przez duchownego. Czy prawo kościelne zabrania sprawcy koniecznemu zawarcia małżeństwa kanonicznego? Studium przypadku
Authors: Kiełpiński Krzysztof 
Published: June 2024

Przestępstwo usiłowania zawarcia małżeństwa przez osobę duchowną stanowi delicta graviora – najcięższe przestępstwo w systemie prawa kanonicznego, a ustawodawca przewidywał za nie kary latae senetntiae oraz w przypadku braku poprawy sprawcy inne kary, nie wykluczając karę wydalenia ze stanu duchownego. Główna myśl w artykule został poświęcona sprawcy koniecznemu przestępstwa – kobiecie. Rozpoczyna się on od prezentacji kazusu, który stanowi punkt wyjścia do prowadzenia dalszych analiz. Stworzona narracja pokazała sprawcę koniecznego jako podmiot przestępstwa - kanoniczne prawo karne, a zarazem osobę, która ma zamiar zawrzeć małżeństwo kanoniczne po popełnieniu przestępstwa z osobą duchowną. Istotnym element badań stanowi relacja kara kościelna a sprawca konieczny. W głównej mierze to od rodzaju kary zależy dalsza sytuacja kanoniczna sprawcy koniecznego. Przeprowadzając analizę wykorzystano przepisy prawa dawnego oraz KPK z 1917 r. i z 1983 r. z uwzględnieniem nowelizacji przepisów kanonicznego prawa karnego, przeprowadzonej przez papieża Franciszka 8 grudnia 2021 r. Użyto różnych metod badawczych (m.in. historyczno-prawnej, dogmatyczno-prawnej, filologicznej), co pozwoliło stworzyć artykuł, który pokazuje istotny problem badawczy, ważny dla kanonicznego prawa karnego jak i dla kanonicznego prawa małżeńskiego. W literaturze brak jest opracowań na temat pozycji prawno-kanonicznej sprawcy koniecznego-kobiety.