bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computational Methods for Data Integration and Imputation of Missing Values in Omics Datasets
Authors: Schumann Yannis , Gocke Antonia , Neumann Julia E. 
Published: December 2024

ABSTRACTMolecular profiling of different omic‐modalities (e.g., DNA methylomics, transcriptomics, proteomics) in biological systems represents the basis for research and clinical decision‐making. Measurement‐specific biases, so‐called batch effects, often hinder the integration of independently acquired datasets, and missing values further hamper the applicability of typical data processing algorithms. In addition to careful experimental design, well‐defined standards in data acquisition and data exchange, the alleviation of these phenomena particularly requires a dedicated data integration and preprocessing pipeline. This review aims to give a comprehensive overview of computational methods for data integration and missing value imputation for omic data analyses.We provide formal definitions for missing value mechanisms and propose a novel statistical taxonomy for batch effects, especially in the presence of missing data. Based on an automated document search and systematic literature review, we describe 32 distinct data integration methods from five main methodological categories, as well as 37 algorithms for missing value imputation from five separate categories. Additionally, this review highlights multiple quantitative evaluation methods to aid researchers in selecting a suitable set of methods for their work. Finally, this work provides an integrated discussion of the relevance of batch effects and missing values in omics with corresponding method recommendations. We then propose a comprehensive three‐step workflow from the study conception to final data analysis and deduce perspectives for future research. Eventually, we present a comprehensive flow chart as well as exemplary decision trees to aid practitioners in the selection of specific approaches for imputation and data integration in their studies.
Using Air Plasma‐generated High‐Valence NOx for Olive Oil Activation to Produce High‐Performance Antimicrobial Agents
Authors: Sun Jiachen , Zhou Rusen , Zhang Jishen , Chen Jinkun , Yang Weiji , Wang Zifeng , Liu Dingxin 
Published: December 2024

ABSTRACTThis study develops a time‐ and performance‐efficient process for oil activation with enhanced bioreactivity. Instead of ozone foaming, plasma‐activated gas (PAG) bubbling has been, for the first time, employed for potent olive oil activation. A parallel system integrating dielectric barrier discharge (DBD) and gliding arc discharge (GAD) devices generates air‐PAG rich in high‐valence nitrogen oxides (NOx) and O3. By adjusting DBD and GAD power ratios, PAG composition is controlled. At a power ratio of 1:1, NOx content and the sterilization performance of thus‐obtained plasma‐activated oil (PAO) reach their peaks. Compared to traditional ozonated oil and plasma‐activated water (PAW), PAO demonstrates superior bacterial‐killing ability and extended storage stability, showing outstanding capacity in medical and food applications as a green agent.
“Production and Chemical Composition of Plasma Activated Water: A Systematic Review and Meta‐Analysis”
Authors: Montalbetti Roberto , Machala Zdenko , Gherardi Matteo , Laurita Romolo 
Published: December 2024

ABSTRACTThe physio‐chemical interplay between cold atmospheric plasma (CAP) and water confers unique chemical and biological properties to the liquid, producing plasma‐activated water (PAW). This review systematically examines various methodologies for PAW production, focusing on the effects of process parameters on reactive oxygen and nitrogen species (RONS) concentration and pH levels in PAW. It presents detailed analyses of CAP sources, working gases, and treatment conditions, showcasing their impact on PAW processes. The extracted data are reprocessed to derive parameters such as mean energy density and RONS production efficiency. Specific plasma‐water configurations exhibit notably higher production rates, indicating promising opportunities for advancing PAW generation techniques and enhancing its applicability in various fields.
Short Review on Plasma–Aerosol Interactions
Authors: Janda Mario , Stancampiano Augusto , di Natale Francesco , Machala Zdenko 
Published: December 2024

ABSTRACTSystems where cold atmospheric plasma interacts with liquid aerosols provide information on unexplored physico‐chemical phenomena and yield multiple advantages. Plasma‐activated aerosols show high chemical reactivity within small liquid microdroplet volumes, making them suitable for various applications and industrial processes. Plasma–aerosol interactions present complex interdisciplinary challenges that demand detailed investigations of the underlying physical, chemical, and transport mechanisms. This short review focuses on the key challenges in understanding plasma–aerosol interactions and the diagnostic hurdles in elucidating the physical and chemical mechanisms governing microdroplet interactions with plasma discharges. The scalability of plasma–aerosol systems, including high‐throughput charged water flows, are analyzed. Some “niche” applications of plasma–aerosols are identified, especially in decontamination, nitrogen fixation, and agriculture. The controversies in the field are also introduced and critically discussed. The review concludes with a proposed path and outlook for the development of plasma–aerosol technology.
Migration and Diverse Belongings in a Neighbourhood Context: Population‐Based Study of Older Russian‐Speaking Migrants in Finland
Authors: Glushkova Tatiana , Kemppainen Laura , Kouvonen Anne , Wrede Sirpa , Pietilä Ilkka , Kemppainen Teemu 
Published: December 2024

ABSTRACTBelonging is a fundamental human experience that plays a critical role in shaping individuals' connections to their communities. Establishing a sense of belonging to a destination society can be particularly challenging for older migrants. Neighbourhood factors and the broader regional context may influence one's sense of belonging to various communities. However, research exploring how neighbourhood‐level factors relate to different types of belonging remains limited. Using data from a population‐based study on older Russian‐speaking migrants in Finland (n = 1082, 57% men and 43% women; mean age 63.2 years, 36% response rate) and a postal code area database (3036 postal codes on mainland Finland, with an average of 1802 residents and an average area of 112 km2), we examined various types of belonging among Russian‐speaking migrants aged 50 years or older and how both individual and neighbourhood‐level factors were associated with the types of belonging. Categorical Principal Component Analysis (CATPCA) was employed to study types of belonging, and multilevel regression analysis was used to examine associations between the types and neighbourhood and individual factors that were identified. Three types of belonging were identified: belonging to the majority population, that is, ‘Finns’; belonging to Ingrian Finns; and belonging to Russian speakers. In neighbourhoods with a higher proportion of Russian speakers, belonging to Finns was weaker. Moreover, significant differences in belonging to Russian speakers were observed across regions of Finland. Thus, in regions located near the Finnish–Russian border, belonging to Russian speakers was stronger. Although neighbourhood characteristics were not associated with belonging to Ingrian Finns, individual‐level factors, such as being older, receiving income support, and having lower education levels were associated with this type of belonging. Additionally, good command of the local language contributed to belonging to Finns and weakened belonging to Russian speakers.
Top 10 Public Health Challenges for 2024: Charting a New Direction for Global Health Security
Authors: Lucero‐Prisno Don Eliseo , Shomuyiwa Deborah Oluwaseun , Kouwenhoven M. B. N. , Dorji Thinley , Adebisi Yusuff Adebayo , Odey Goodness Ogeyi , George Nsikakabasi Samuel , Ajayi Oluwatomisin Temidayo , Ekerin Olabode , Manirambona Emery , Xu Lin , Obnial Joseph Christian , Viola Adriana Miranda , Ogunkola Isaac Olushola , Ahmed Mohamed Mustaf , Ogaya Jerico B. , Huang Junjie , Sium Abraham Fessehaye , Suntay Marcus Lester R. , Chung William K. , De Paz Pearl Irish V. , Elmi Hassan Sh Abdirahman , Hersi Omar Osman , Gabaake Kebabonye P. , Baricaua Teresita , Dirie Najib Isse , Yepes Prose Ivy G. , Wilson Donald John , Tofaeono‐Pifeleti Rossana , Tapia Ederson Delos Trino , Wong Martin CS 
Published: December 2024

ABSTRACTAs we navigate the complex landscape of global public health in 2024, this article provides a comprehensive exploration of challenges, ranging from infectious diseases, mental health, and substance use to environmental sustainability and emerging technologies. The aftermath of the COVID‐19 pandemic underscores the critical need to strengthen health systems, increase public financing, and foster effective international collaboration. The intricacies of global geopolitics, diplomacy, and public health highlight the importance of countries that do not address shared challenges through enhanced cooperative mechanisms and joint initiatives. From the imperative of global health security to the persistence of non‐communicable diseases and health disparities, this study delves into multifaceted issues, advocating for collective action, targeted interventions, and a commitment to prioritizing public health on a global scale. Focusing on addressing root causes and fostering equity, this study emphasizes the role of sustainable practices, community engagement, and intersectionality of research in building a resilient global health landscape. In this dynamic environment, 2024 calls for a unified global vision that encourages nations to collaborate more effectively to build a healthier and more resilient global community, ultimately paving the way for a future characterized by a shared commitment to public health challenges.
An Intelligent Method of Health State Division and Assessment for Gearbox Based on Acoustic Signals
Authors: Yan Hao , Dong Enzhi , Wang Yu , Wen Liang , Cheng Zhonghua , Jia Xisheng 
Published: December 2024

ABSTRACTGearboxes are a crucial component of the transmission systems in many devices. Due to prolonged operation and high loads, it is inevitable that their condition will degrade over time. Therefore, intelligently dividing health state stages and conducting timely and effective health state assessments are essential for ensuring the safe and reliable operation of gearboxes. In response to the acoustic signals generated during the operation of gearboxes, a health state division and assessment method based on acoustic signals is proposed. Initially, fast Fourier transform (FFT) is utilized to convert the measured sound signal into a spectral signal that is relatively less disturbed by noise. Subsequently, the temporal convolutional autoencoder (TCAE) is proposed and constructed to encode and decode the spectrum signals at different moments, so that the trained encoder can be used to extract the deep features of the signals adaptively. After that, K‐Means clustering method was used to automatically divide the health state of the gearbox combined with the extracted deep features. Finally, the one‐dimensional convolutional neural networks (1DCNN) model is constructed and trained, and the deep features extracted by TCAE are input to identify the health state stage of the test sample, so as to realize the health state assessment of the gearbox. The experimental results show that, in the gearbox data set of three working conditions, the proposed method is closer to the health stage of manual calibration, which proves the rationality of the proposed intelligent method. The accuracy of the proposed health assessment method can reach 95%, 90%, and 90%, respectively, and the effect is obviously better than that of the more commonly used models at present, achieving effective health state assessment of the gearbox under non‐destructive testing conditions.
Distributed Cooperative Collision‐Free Tracking Control for 30 Quadrotors Under Internal and External Threats
Authors: Yang Guang , Qi Juntong , Wang Mingming , Wu Chong , Guo Jinjin , Ping Yuan , Peng Yan 
Published: December 2024

ABSTRACTThe high efficiency of multiple quadrotors coordination makes it widely used. However, the technology faces threats from internal collisions as well as external obstacles. This paper proposes a multiquadrotors distributed cooperative collision‐free tracking control framework, which consists of three parts: collision avoidance mechanism, obstacle avoidance mechanism and tracking control. First, in the face of internal and external threats, the collision avoidance function with damping is designed based on Hooke's law. And the potential energy function is designed for multiple quadrotors obstacle avoidance based on bird flock obstacle avoidance. Then, a distributed control protocol is proposed based on consensus theory. Finally, a multi‐quadrotors simulation and experiment platform with the same architecture is built. We deploy the framework on the multiple quadrotor platform and conduct collision avoidance, obstacle avoidance, and encirclement experiments with 30 quadrotors. The experimental results show that the quadrotors can perform the task well. The minimum distance between quadrotors is 0.8022 m, and the minimum distance from obstacles is 0.8866 m, all of which meet the safety distance requirements. Moreover, compared with classical and advanced methods in simulation, our proposed method has the smallest average tracking error, only 0.3019 m, and improves task time by 7.03% and 6.23%, respectively, which verifies the effectiveness and practicality of the proposed framework of distributed cooperative collision avoidance and tracking control for multiple quadrotors.
Fluconazole Functionalized Copper Oxide—Chitosan Nanocomposite for Bioengineering Applications Against Human Breast Cancer Therapies
Authors: Ringu Togam , Das Abinash , Ali Mir Sahidul , Ghosh Sampad , Pramanik Nabakumar 
Published: December 2024

AbstractA novel nanocomposite has been developed by combining the antifungal drug fluconazole (FCZ), copper oxide nanoparticles (CuO NPs), and a chitosan (CS) matrix. This nanocomposite assessed its enhanced anticancer activity and compatibility with biological systems. The synthesis of the nanocomposite was carried out using an in situ method. Various techniques, including X‐ray diffraction (XRD), scanning electron microscopy (SEM), Fourier‐transform infrared spectroscopy (FTIR), UV‐visible spectroscopy (UV–vis), energy‐dispersive X‐ray spectroscopy (EDX), and particle size distribution (PSD) analysis were used to characterize the material comprehensively. The FCZ‐CuO‐CS nanocomposite showed enhanced antimicrobial activity against bacterial and fungal strains, which was even more pronounced than the CuO NPs. This enhanced activity is due to the collaborative effects of FCZ, CuO NPs, and CS. Additionally, the nanocomposite was tested for its potential as an anti‐cancer agent using the tetrazolium salt, 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyl tetrazolium bromide (MTT) assay on MCF‐7 breast cancer cell lines. The results demonstrated a significant improvement in its ability to inhibit the proliferation of MCF‐7 cells compared to using fluconazole alone. These results highlight the potential of the FCZ‐CuO‐CS nanocomposite as a promising therapeutic option for treating human breast cancer.
Catalytic Pyrolysis of Moso Bamboo Over Acid‐treated Red Mud Catalyst for Bio‐Oil Production
Authors: Gu Yaxin , Wang Wenli , Zhou Chengfen , Hu Changwei 
Published: December 2024

AbstractRed mud (RM), one kind of waste from the alumina industry, was used to prepare 600‐RM catalyst and a series of xHCl‐RM catalysts. The catalytic pyrolysis of moso bamboo was conducted to evaluate the performance of the prepared catalysts. The 600‐RM catalyst showed a slight increase in the content of Fe, Al, Ca and Si, and a modest enlargement in pore volume and diameter. The xHCl‐RM catalysts exhibited well‐structured hierarchical porosity and enhanced specific surface area. After acid treatment, the contents of Fe, Al, and Si increased noticeably, with almost complete removal of Na and Ca. Thermal stability of the 600‐RM and xHCl‐RM catalysts was significantly improved compared to P‐RM. The results showed that the catalytic pyrolysis over 600‐RM enhanced high selectivity for phenols (59.81%, biomass/catalyst = 1/1 w/w) and alcohols (16.35%, biomass/catalyst = 1/1 w/w), facilitated by CaO promoting bond cleavage and free radical reactions. In addition, xHCl‐RM demonstrated enhanced activity for furans (23.11%) and carbonyl compounds (28.43%), with 4HCl‐RM performing the best. It could be attributed to the high cracking ability of Fe2O3 and Al2O3 on cellulose and hemicellulose. The biomass‐to‐catalyst mass ratio significantly affected the yield of small molecular products, showing a nonlinear trend.
Surface Modification of Starch by Isopropoxytris(ethylenediamino‐N‐ethoxy)Titanate with a Chelating Claw for Heavy Metal Removal
Authors: Rong Xuede , Man Ruojun 
Published: December 2024

AbstractIsopropoxy tris(ethylenediamino‐N‐ethoxy) titanate‐modified starch (TIS) was prepared and characterized by XPS, FTIR, SEM, and TGA. It has been used for the removal of Cu2+, Co2+, Ni2+, and Mn2+ from aqueous solutions. At an optimal pH of 7, fast adsorption was observed within 10 min of contact, and 80% of the maximum capacity was achieved. Adsorption reached equilibrium after 30 min. This course followed a pseudo‐second‐order equation with the sequence Cu2+ > Mn2+ > Co2+ > Ni2+, which is related to the substitution rates of the hydrated metal ions. A linear relationship between the pseudo‐second‐order equation constant (logk2) and substitution rate constants (logkhs) of the hydrated metal ions was established. For the isotherm, the Langmuir equation fitted well with the adsorption data, suggesting monolayer coverage of the TIS surface. The maximum adsorption capacity for metal ions followed the order of Cu2+ > Co2+ > Ni2+ > Mn2+. FTIR and thermal studies indicated the chelation of metal ions with ethylenediamino groups, in agreement with the adsorption investigations.
Palladium‐Catalyzed Regioselectivity C─H Oxidation of Aromatics Utilizing Removable Directing Group Strategy
Authors: Zhu Shuwei , Wang Yong , Yin Fumeng , Gu Yuqing , Zhu Hongjun 
Published: December 2024

AbstractAn efficient pyridine‐assisted o‐acetoxylation of 2‐phenoxypyridines has been developed using AcOH as solvent and acetoxy source through Pd(II)‐catalyzed C─H bond activation. The protocol exhibits high regioselectivity and functional group tolerance with yields up to 89%. Moreover, the 2‐pyridyloxyl and acetyl groups can be readily removed, which provides indirect access to obtain pyrocatechol. Control experiments indicate that the reaction involves free radical pathway and C─H activation may be the rate‐determining step.
Sequential Therapy for Osteosarcoma and Bone Regeneration via Chemodynamic Effect and Cuproptosis Using a 3D‐Printed Scaffold with TME‐Responsive Hydrogel
Authors: Xie Dingqi , Hu Chuan , Zhu Yutao , Yao Jia , Li Jianyi , Xia Jiechao , Ye Lin , Jin Yang , Jiang Sicheng , Hu Tingting , Lu Jingwei , Song Honghai , Tang Pan , Dai Jiayong , Xi Yongming , Hu Zhijun 
Published: December 2024

AbstractPost‐surgical recurrence and extensive bone defects pose significant challenges during osteosarcoma treatment. These issues can be addressed using a novel strategy that promotes bone repair after removing residual tumors. Therefore, a 3D‐printed porous polylactic acid (PLA) scaffold (PH‐GBS@CCP) filled with hydrogel and surface‐modified with nano‐hydroxyapatite (nHA) is designed. The hydrogel, composed of gelatin modified with methacrylic anhydride (GelMA), sodium alginate (SA), and borax, contains Cu–Cys–PEG nanoparticles (CCP) modified with cRGDfk‐PEG2K‐DSPE. It is injected into the PLA scaffold and crosslinked under UV. This hydrogel acts as a buffer medium between scaffold and bone, reducing cell abrasion, and as a carrier for the responsive release of tumor‐targeting CCP. The scaffold provides the support and microenvironment required for bone repair. In early treatment, the acidic tumor microenvironment promotes hydrogel disintegration and CCP release, depleting glutathione and converting Cu2+ to Cu+ for the Fenton‐like reaction. This generates reactive oxygen species, strengthening the proptosis effect, and killing the tumor. In later treatment, after tumor elimination, normalized pH and slow CCP release, along with scaffold nHA, promote osteogenic differentiation, providing a sustained osteogenic effect. Overall, the multifunctional composite scaffold achieved the sequential management of post‐surgical osteosarcoma through early tumor‐killing and later osteogenic effects.
Interdisciplinary Hybrid Solar‐Driven Evaporators: Theoretical Framework of Fundamental Mechanisms and Applications
Authors: Irshad Muhammad Sultan , Arshad Naila , Maqsood Ghazala , Asghar Muhammad Sohail , Wu Pan , Mushtaq Naveed , Shah M.A.K. Yousaf , Lin Liangyou , Li Xiuqiang , Ahmed Iftikhar , Mei Tao , Sabir Muhammad , Wang Hao , Pham Phuong V. , Li Hongrong , Nang Ho Xuan , Dao Van‐Duong , Guo Jinming , Wang Xianbao 
Published: December 2024

AbstractThe global water and energy crisis seems to be mitigated with promising prospects of emerging interdisciplinary hybrid solar‐driven evaporator technology (IHSE). However, the lack of numeric standards for comparison between enormously reported systems and the synergistic effects of interdisciplinary hybridization remains a significant challenge. To entice researchers from various domains to collaborate on the design of a system for realistic, large‐scale applications, this study provides a comprehensive overview of the interdisciplinary approaches to IHSE from the domains of physics, chemistry, materials science, and engineering, along with their guiding principles and underlying challenges. First, an in‐depth analysis of IHSE with the basic scientific foundations and current advancements in recent years is discussed. Then, the physical principles/scientific principles alongside the overall system improvement enhancement techniques at the macro and micro scale are highlighted. Furthermore, the review analyzes the impact of significant physical factors that alter or restrict the efficiency of IHSE, as well as their connection and potential regulation. In addition, a comprehensive study of emerging sustainable applications for insight into the design and optimization of IHSE is provided for scientists from different fields. Lastly, the current challenges and future perspectives of interdisciplinary IHSE for large‐scale applications are emphasized.