bluuebunny/crossref_metadata_2025_split huggingface dataset:
Virtual control contraction metrics: Convex nonlinear feedback design via behavioral embedding
Authors: Wang Ruigang , Tóth Roland , Koelewijn Patrick J. W. , Manchester Ian R. 
Published: April 2024

AbstractThis article presents a systematic approach to nonlinear state‐feedback control design that has three main advantages: (i) it ensures exponential stability and ‐gain performance with respect to a user‐defined set of reference trajectories, (ii) it provides constructive conditions based on convex optimization and a path‐integral‐based control realization, and (iii) it is less restrictive than previous similar approaches. In the proposed approach, first a virtual representation of the nonlinear dynamics is constructed for which a behavioral (parameter‐varying) embedding is generated. Then, by introducing a virtual control contraction metric, a convex control synthesis formulation is derived. Finally, a control realization with a virtual reference generator is computed, which is guaranteed to achieve exponential stability and ‐gain performance for all trajectories of the targeted reference behavior. We show that the proposed methodology is a unified generalization of the two distinct categories of linear‐parameter‐varying (LPV) state‐feedback control approaches: global and local methods. Moreover, it provides rigorous stability and performance guarantees as a method for nonlinear tracking control, while such properties are not guaranteed for tracking control using standard LPV approaches. Code is available at
https://github.com/ruigangwang7/VCCM.
Distributed optimal output synchronization of heterogeneous multiagent systems with communication delays
Authors: Zhao Wei , Zhang Huaipin , Yu Wenwu 
Published: April 2024

AbstractThe optimal output synchronization problem of heterogeneous multi‐agent systems (HMASs) with communication delays is studied in this article. In order to compensate for communication delays actively, we employ networked data‐driven predictive control method to predict the agents' outputs. Then the output synchronization issue of HAMSs is transformed into the stabilization issue of the local pseudo systems, and model‐free off‐policy reinforcement learning technique is used to learn optimal control policies of the local systems. Combined predicted output information with optimal control policies, we develop a distributed data‐driven optimal output policy for each follower. Finally, a numerical example is given to show the effectiveness of our results.
Ultrasmall and Highly Dispersed Pt Entities Deposited on Mesoporous N‐doped Carbon Nanospheres by Pulsed CVD for Improved HER
Authors: Küspert Sven , Campbell Ian E. , Zeng Zhiqiang , Balaghi S. Esmael , Ortlieb Niklas , Thomann Ralf , Knäbbeler‐Buß Markus , Allen Christopher S. , Mohney Suzanne E. , Fischer Anna 
Published: April 2024

AbstractVapor‐based deposition techniques are emerging approaches for the design of carbon‐supported metal powder electrocatalysts with tailored catalyst entities, sizes, and dispersions. Herein, a pulsed CVD (Pt‐pCVD) approach is employed to deposit different Pt entities on mesoporous N‐doped carbon (MPNC) nanospheres to design high‐performance hydrogen evolution reaction (HER) electrocatalysts. The influence of consecutive precursor pulse number (50‐250) and deposition temperature (225–300 °C) are investigated. The Pt‐pCVD process results in highly dispersed ultrasmall Pt clusters (≈1 nm in size) and Pt single atoms, while under certain conditions few larger Pt nanoparticles are formed. The best MPNC‐Pt‐pCVD electrocatalyst prepared in this work (250 pulses, 250 °C) reveals a Pt HER mass activity of 22.2 ± 1.2 A mg−1Pt at ‐50 mV versus the reversible hydrogen electrode (RHE), thereby outperforming a commercially available Pt/C electrocatalyst by 40% as a result of the increased Pt utilization. Remarkably, after optimization of the Pt electrode loading, an ultrahigh Pt mass activity of 56 ± 2 A mg−1Pt at ‐50 mV versus RHE is found, which is among the highest Pt mass activities of Pt single atom and cluster‐based electrocatalysts reported so far.
Synergistic Regulation of Targeted Organelles in Tumor Cells to Promote Photothermal‐Immunotherapy Using Intelligent Core‐Satellite‐Like Nanoparticles for Effective Treatment of Breast Cancer
Authors: Chang Xiaowei , Tang Xiaoyu , Tang Wenjun , Weng Lin , Liu Tao , Zhu Zeren , Liu Jie , Zhu Man , Zhang Yanmin , Chen Xin 
Published: April 2024

AbstractThe normal operation of organelles is critical for tumor growth and metastasis. Herein, an intelligent nanoplatform (BMAEF) is fabricated to perform on‐demand destruction of mitochondria and golgi apparatus, which also generates the enhanced photothermal‐immunotherapy, resulting in the effective inhibition of primary and metastasis tumor. The BMAEF has a core of mesoporous silica nanoparticles loaded with brefeldin A (BM), which is connected to ethylenebis(oxyethylenenitrilo)tetraacetic acid (EGTA) and folic acid co‐modified gold nanoparticles (AEF). During therapy, the BMAEF first accumulates in tumor cells via folic acid‐induced targeting. Subsequently, the schiff base/ester bond cleaves in lysosome to release brefeldin A and AEF with exposed EGTA. The EGTA further captures Ca2+ to block ion transfer among mitochondria, endoplasmic reticulum, and golgi apparatus, which not only induced dysfunction of mitochondria and golgi apparatus assisted by brefeldin A to suppress both energy and material metabolism against tumor growth and metastasis, but causes AEF aggregation for tumor‐specific photothermal therapy and photothermal assisted immunotherapy. Moreover, the dysfunction of these organelles also stops the production of BMI1 and heat shock protein 70 to further enhance the metastasis inhibition and photothermal therapy, which meanwhile triggers the escape of cytochrome C to cytoplasm, leading to additional apoptosis of tumor cells.
Cobalt‐Ion Superhygroscopic Hydrogels Serve as Chip Heat Sinks Achieving a 5 °C Temperature Reduction via Evaporative Cooling
Authors: Xi Mufeng , Zhang Xiaohu , Liu Hong , Xu Bolin , Zheng Yongliang , Du Yujie , Yang Lin , Ravi Sai Kishore 
Published: April 2024

AbstractIn the rapidly advancing semiconductor sector, thermal management of chips remains a pivotal concern. Inherent heat generation during their operation can lead to a range of issues such as potential thermal runaway, diminished lifespan, and current leakage. To mitigate these challenges, the study introduces a superhygroscopic hydrogel embedded with metal ions. Capitalizing on intrinsic coordination chemistry, the metallic ions in the hydrogel form robust coordination structures with non‐metallic nitrogen and oxygen through empty electron orbitals and lone electron pairs. This unique structure serves as an active site for water adsorption, beginning with a primary layer of chemisorbed water molecules and subsequently facilitating multi‐layer physisorption via Van der Waals forces. Remarkably, the cobalt‐integrated hydrogel demonstrates the capability to harvest over 1 and 5 g g−1 atmospheric water at 60% RH and 95% RH, respectively. Furthermore, the hydrogel efficiently releases the entirety of its absorbed water at a modest 40°C, enabling its recyclability. Owing to its significant water absorption capacity and minimal dehydration temperature, the hydrogel can reduce chip temperatures by 5°C during the dehydration process, offering a sustainable solution to thermal management in electronics.
Influence of enzyme activity on domestic wastewater amelioration in a hybrid subsurface flow constructed wetland
Authors: Rani Neetu , Pohekar Karuna N. , Sehrawat Anirudh , Gupta N. C. 
Published: April 2024

AbstractWastewater treatment in a constructed wetland is achieved by the presence of plant species, the metabolism of microorganisms, and the enzyme activities. Three small‐scale hybrid subsurface flow constructed wetlands (HSFCWs) planted with Arundo donax and one unplanted HSFCW were constructed near a water resource recovery facility at Guru Gobind Singh Indraprastha University. The purpose of the study was to determine the correlation between soil enzymatic activities and the removal of contaminants from domestic wastewater. Enzyme activity of phosphatase, protease, urease, and cellulase increased with an increase in temperature. A strong correlation between enzyme activities and TKN and surfactant removal was observed, whereas moderate correlation was observed with phosphate in planted HSFCW during the study. The correlation between COD removal and enzyme activities was low to moderate. In unplanted HSFCW, the correlation between enzyme activities and COD removal was negative, negligible to moderate to strong in the case of TKN, low to moderate in the case of phosphate, and negligible to low in the case of surfactants. The increased removal efficiency of the planted system compared with that of the unplanted system indicated a positive impact on enzyme activities with the growth of plants and their roots.Practitioner PointsProtease, urease, and cellulase activities:
Planted HSFCW exhibited higher protease, urease, and cellulase activities than unplanted, signifying enhanced breakdown.
July displayed maximum enzyme activities, correlating with heightened biological breakdown in both systems.
Fluctuations in enzyme activities reflected seasonal changes, influencing nutrient degradation rates.
Planted HSFCW consistently showed higher enzymatic activities across protease, urease, and cellulase than unplanted.
Determining climate classifications and producing climate border maps with GIS of Muğla province on the southern Aegean Sea coast of Türkiye
Authors: Arca Deniz , Keskin Citiroglu Hulya 
Published: April 2024

AbstractClimate is defined by the average of meteorological events observed over an extended period in a region, expressing the weather conditions of that area. Numerous scientists have developed various climate classifications. The fundamental purpose of these classifications is to distinguish different types of climates and thereby reveal similarities between regions. Such classifications can be based on factors like temperature and precipitation patterns. Understanding climate characteristics enables us to determine the boundaries of different climate types. This, in turn, is crucial for ensuring the sustainable use of regional resources and shaping land use plans. This study evaluates the process of creating climate boundary maps for Muğla province. Various climate classification methods, including Thornthwaite, Trewartha, Erinç, De Martonne, Köppen─Geiger, and Köppen, are comprehensively examined and compared. Our findings indicate that each method offers different approaches to defining Muğla’s climate, each with its unique advantages and limitations. For instance, while the Thornthwaite method provides detailed data, the Köppen─Geiger method offers a more generalized approach. The results suggest that combining various climate classification methods helps in more accurately and comprehensively mapping the climate boundaries of Muğla province. This study underscores the importance of integrating these diverse methods to contribute to the determination of climate boundaries and regional planning processes.
Fluctuations in population size and migration of two species of crossbills in relation to seed crop size of spruce and pine: asymmetric importance of alternative food resources
Authors: Dale Svein , Edvardsen Øyvind Meland 
Published: April 2024

AbstractBird species depending on seeds from masting trees face large temporal and spatial variation in food availability and perform nomadic or irruptive movements to locate food. In northern Europe, the Common Crossbill (Loxia curvirostra) is specialized on seeds from Norway Spruce (Picea abies) which usually has peak years followed by crop failure. Common Crossbills breed in mast years and emigrate when spruce seeds are no longer available. On the other hand, the Parrot Crossbill (L. pytyopsittacus) is specialized on seeds from Scots Pine (Pinus sylvestris) in which seed production is more stable from year to year. The Parrot Crossbill is therefore thought to be more sedentary. However, both species may switch food if there is low abundance of their 'own' seed type, but little is known about the relative importance of crop size of the two tree species on breeding population size and migration of the two crossbill species. Here, we analyse time series (up to 36 years) of crossbills and crop size of spruce and pine in Norway and Sweden to investigate this. We found that breeding population sizes of both species were positively related to spruce crop size. Surprisingly, pine crop size had no positive influence, not even on the Parrot Crossbill. Emigration of both crossbill species (based on autumn migration counts in southern Sweden) increased when there were small seed crops of spruce, but pine crop size had no influence, not even on the Parrot Crossbill. There was no influence of population size on emigration. These results suggest that alternative food resources had an asymmetric effect, only influencing the Parrot Crossbill. This asymmetry explains why the two crossbill species often have synchronous eruptions despite being specialized on different tree species with different seed crop size dynamics.
The intersection of diet, class, and sex during the Eastern Zhou (770–221 BCE): Bioarchaeological evidence from the Dahan cemetery, China
Authors: Zhang Qian , Liu Yanchang , Xiao Yuni , Hao Daohua , Wang Long , Halcrow Siân E. , Zhao Yongsheng , Dong Yu 
Published: April 2024

AbstractThe Eastern Zhou (770–221 BCE) was an important period of social transformation in ancient China. The development of class- and gender-based stratification of this period had profound effects on human diet. We aim to examine the relationships among diet, class, and sex (as a proxy for gender) during this period through comparative investigations of noble individuals and sacrificial human companions. We analyzed the stable carbon and nitrogen isotope values of bone collagen of 61 human (26 nobles and 35 sacrificial companions) and 32 faunal samples from the Dahan (大韩) cemetery (an Eastern Zhou archaeological site). There are statistically significant class-based dietary differences, with the nobles consuming more socially valued foods (high protein food and millets) compared with sacrificial companions, which is also supported by paleopathological evidence. Sex-based differences were specific to class, with no significant dietary differences found in the nobles, whereas males may have had better diets than females in the lower classes. Our dietary analysis suggests that some sacrificial companions may have benefited from the resources of their noble masters, however, most sacrificial companions had a poorer diet. In addition, one noble individual possibly experienced social mobility in his lifetime, as shown by the discrepancy in his burial treatment and his long-term diet. This cemetery-wide study of dietary differences between nobles and sacrificial companions allows for novel insight into the intersection of class, gender, and diet during the Eastern Zhou period.
Motorisches Lernen mit digitalen Medien im Sportunterricht – Ein digitalbasiertes methodisches Unterrichtskonzept zur Implementierung visuellen Feedbacks
Authors: Mödinger Moritz , Woll Alexander , Wagner Ingo 
Published: April 2024

ZusammenfassungUmfangreiche außerschulische Erkenntnisse bezüglich der Verwendung von Videoanalysen zur Förderung motorischen Lernens stehen einer überschaubaren Studienlage zur Implementierung von Videoanalysen in die schulische Unterrichtspraxis gegenüber. Als Konsequenz fehlen bisher – trotz der auch im Bildungsbereich vorangeschrittenen Digitalisierung sowie der curricularen Verankerung auf Ebene der Bildungspläne – methodische Konzepte für die unterrichtliche Praxis. Vor diesem Hintergrund wurde ein digitalbasiertes Unterrichtskonzept entwickelt und anhand einer geschlossenen leichtathletischen Fertigkeit (Kugelstoßen) im Sportunterricht erprobt.Drei Interventionsgruppen, eine visuelle Feedbackgruppe (IG1: n = 32), eine verbale Feedbackgruppe (IG2: n = 31) sowie eine selbstorganisiert lernende Gruppe 3 (IG3: n = 32) erhielten vier Wochen Varianten des methodischen Konzepts. Technik und Weite wurden in Pretest (Woche 0), Posttest (Woche 4) und Retentionstest (Woche 11) erhoben.Das methodische Konzept vermochte die Bewegungsquantität (Weite) für alle Varianten nachhaltig zu verbessern (Huynh-Feld F (1.838, 169.110) = 73,132; p < 0,001; partielles η2 = 0,44). Auch die Bewegungsqualität (Technik) verbesserte sich für alle Varianten, wobei Post-hoc-Tests nach Games-Howell ergaben, dass IG1 (p = 0,036) und IG2 (p = 0,005) besser abschnitten als die IG3. Auch der Retentionstest wies auf signifikante Unterschiede zwischen den Gruppen hin (F (2, 92) = 3,45; p = 0,036). Hierbei zeigten Post-hoc-Tests nach Tukey jedoch nur noch Vorteile zugunsten der IG1 (p = 0,027).Somit deuten die Ergebnisse auf eine Eignung des methodischen Konzepts für die unterrichtliche Praxis hin und erweitern damit das methodische Repertoire zur Gestaltung von Sportunterricht mit digitalen Medien. Weiter unterstreichen die Ergebnisse den Mehrwert fremdgesteuerten Feedbacks im Kontext motorischen Lernens, liefern jedoch zugleich auch Hinweise, wie und unter welchen Rahmenbedingungen selbstorganisiertes Lernen zielführend in die Unterrichtspraxis implementiert werden kann.
Extractive Arabic Text Summarization Using PageRank and Word Embedding
Authors: Alselwi Ghadir , Taşcı Tuğrul 
Published: April 2024

AbstractResearch on graph-based automatic text summarization for Arabic, the official language of 26 nations with over 200 million speakers, as well as other prevalent languages, has recently increased due to the ability of these approaches to handle linguistic peculiarities such as complex morphological linkages. The present paper proposes a graph-based extractive Arabic text summarization (GEATS) technique that employs word embedding and PageRank algorithms for feature extraction and sentence ordering. The efficiency of the GEATS approach versus the state-of-the-art methods is analyzed based on the quality of the produced summaries over the F-measure values. The findings indicated that it outperformed the nearest alternative by an advantage of over 7.5%.
Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution
Authors: Ozcan Giyasettin , Kocak Burak , Gulbandilar Eyyup , Kocak Yilmaz 
Published: April 2024

AbstractThis study implements a set of machine learning algorithms to building material science, which predict the compressive strength of zeolite and diatomite substituting concrete mixes in sodium chloride solution. Particularly, Random Forest, Support Vector Machine, Extreme Gradient Boosting, Light Gradient Boosting, and Categorical Boosting algorithms are exploited and their optimal parameters are tuned. In the training and testing of these models, 28 day, 56 day, and 90 day compressive strength observations of 63 samples of 7 different concrete mixtures substituting Portland cement, zeolite, diatomite, zeolite + diatomite were used. Consequently, compressive strength experimentation results and machine learning predictions were compared through statistical methods such as RMSE, MAPE, and R2. Results denote that the prediction performance of machine learning is improving with tuned models. Particularly, RMSE, MAPE, R2 scores of Categorical Boosting are, respectively, 1.15, 1.45%, and 98.03% after parameter tuning design. The results denote that presented machine learning model can provide an advantage in the cost and duration of the compressive strength experiments.
The current state of the non-ore mineral deposits mining in the concept of the Ukraine reconstruction in the post-war period
Authors: Dychkovskyi Roman , Saik Pavlo , Sala Dariusz , Cabana Edgar Caceres 
Published: April 2024

AbstractThe study of quantitative and qualitative indicators of the non-metallic mineral deposits mining based on recognized methods of economic and technological assessment to determine the damages and the development of technical–technological measures for the providing the mining industry of construction and bulk materials from the crisis in the post-war period. To assess the state of non-ore mineral deposits, the authors of the article used the following research methods: critical analysis of literary sources, statistical processing of data on the mines functioning and the probability of their manifestation in specific mining and geological conditions. Based on the selected UNIDO method, which is used for the evaluation of high-budget projects, the quantitative performance indicators of the selected quarries of non-ore raw materials have been established. Systematization and visualization of the obtained results were carried out with the help of Excel calculation tables from the available software product MS Office. The main problems associated with the activity of mining enterprises that develop deposits of non-ore useful minerals are highlighted. Qualitative and quantitative values of the work of the selected mines have been prepared according to European standards, which serve as initial data for assessing the economic attractiveness and the possibility of their restructuring in the post-war period. A forecast of the development of the industry is provided on the example of individual technological units of entrepreneurial activity for the nearest period. Dependencies of changes in production capacity indicators of mining enterprises developing non-ore mineral deposits have been established. Data on the spatial distribution of reserves of construction and backfill materials (gravel, sand, clay) were studied. Using generally recognized international methods of assessing the efficiency of enterprises, changes in the priority of mine development were determined depending on the needs of the Ukrainian economy and the destruction of territories caused by military actions, that appeared due to the aggression of the RF. The effectiveness of the methodology was proposed and confirmed, which allows determining the operative parameters of mines, which are mining non-ore mineral deposits. It gives the possibility to assess the economic attractiveness of individual mines and subsequently predict the possibility of their restructuring for the introduction of the innovative equipment and technologies in accordance with generally recognized international standards.