bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mental health needs assessment for youth in out of school programs: A scoping review
Authors: Brodkin Sabrina , Sibalis Annabel , Bedard Anne‐Claude V. , Deluca Anthony , Suri Anjali , Balter Alice‐Simone , Racine Nicole , Al‐Khooly Dina , Sylvestre Desiree , Andrade Brendan F. 
Published: August 2024

AbstractOut‐of‐school programs are an accessible option to bolster the mental well‐being of youth, who may be at risk of developing further emotional and behavioural concerns. Developing a more nuanced understanding of the tools and methods available to understand youth mental health needs, in the context of out‐of‐school programs is needed to provide relevant services. However, many out‐of‐school programs do not include such an assessment. One barrier to doing so may be a lack of knowledge regarding the tools that can be used in this specialised context. The present scoping review was conducted to identify the tools that have been used to determine the emotional and behavioural needs of youth attending out‐of‐school programs and to synthesise information regarding the context in which these tools have been used. Fifty‐seven articles met the criteria for the review, and within these articles, 69 unique measures of emotional and behavioural needs were identified. The measures were sorted into six thematic categories (self‐concept, emotion and behaviour regulation, mood, general mental health, social skills and resilience) and relevant characteristics were described. The findings of the present review may be helpful to out‐of‐school programs as a step to best meet the needs of participating youth. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement.
Antibacterial Properties and Application of Bi2Sn2O7/ZnO Composite Photocatalytic Materials
Authors: Ji Yuhao , Li Jingmei , Xian Baitao , Liu Jianlai , Qu Deye , Han Deming 
Published: August 2024

AbstractIn this experiment, Bi2Sn2O7/ZnO composite photocatalytic materials were synthesized by a hydrothermal method and characterized by XRD, SEM, and EDS, etc. The prepared Bi2Sn2O7/ZnO has a nanorod structure and high phase purity. The photocatalytic antimicrobial performance of Bi2Sn2O7/ZnO against bacteria and fungi under visible light was significantly better than that of single Bi2Sn2O7 and ZnO. In particular, 1000 mg/L 1 : 3 Bi2Sn2O7/ZnO showed an antimicrobial rate of more than 97 % against Escherichia coli, Staphylococcus aureus, and Candida albicans, which are widely present in the nature. The free radical trapping experiments were selected and the antimicrobial mechanism was investigated, and the results showed that the antimicrobial process of the Bi2Sn2O7/ZnO system was regulated by the free radicals such as ⋅OH, h+, and e−, which were generated by its unique photocatalytic activity. Finally, MTT cytotoxicity experiments demonstrated that the Bi₂Sn₂O₇/ZnO composite was not toxic to cells. In addition, the antimicrobial performance of Bi2Sn2O7/ZnO on real livestock wastewater and the real‐life application of the prepared Bi2Sn2O7/ZnO PCL composite antibiotic film for antimicrobial treatment of freshly cut fruits’ surfaces under visible light were experimentally investigated. This study provides a new idea for Bi2Sn2O7/ZnO as a photocatalytic antimicrobial agent.
Biotemplated Platinum Nanozymes: Synthesis, Catalytic Regulation and Biomedical Applications
Authors: Lei Yanli , Yu Lihong , Yang Zeyang , Quan Ke , Qing Zhihe 
Published: August 2024

AbstractPlatinum (Pt) nanozymes with multiple intrinsic enzyme‐mimicking activities have attracted extensive attention in biomedical fields due to their high catalytic activity, ease of modification, and convenient storage. However, the Pt nanozymes synthesized by the traditional method often suffer from uncontrollable morphology and poor stability under physicochemical conditions, resulting in unsatisfactory catalytic behavior in practical applications. To optimize the catalytic ability, biological templates have been introduced recently, which can guide the deposition of platinum ions on their surface to form specific morphologies and then stabilize the resulting Pt nanozymes. Given the promising potential of biotemplated Pt nanozymes in practical applications, it is essential to conduct a systematic and comprehensive review to summarize their recent research progress. In this review, we first categorize the biological templates and discuss the mechanisms as well as characteristics of each type of biotemplate in directing the growth of Pt nanozyme. Factors that impact the growth of biotemplated Pt nanozymes are then analyzed, followed by summarizing their biomedical applications. Finally, the challenges and opportunities in this field are outlined. This review article aims to provide theoretical guidance for developing Pt nanozymes with robust functionalities in biomedical applications.
A collision tumor of basal cell carcinoma and atypical fibroxanthoma: A case report
Authors: Suzuki‐Ueno Mariko , Fujikawa Yoshiaki , Hamaoka Dai , Umemura Kaoru , Ohnishi Takamasa 
Published: August 2024

Key Clinical MessageAn 83‐year‐old man presented an elevated skin lesion in the left temporal area. The resected specimen was identified between a basal cell carcinoma and an atypical fibroxanthoma. A final diagnosis of basal cell carcinoma and atypical fibroxanthoma was made. This study reports a rare case of a cutaneous collision.
Cholestatic hepatitis in acute Epstein–Barr virus infection: A case report
Authors: Joshi Amey , Jha Divij , Wari Eki , Saeed Moiz , Hussain Murtaza , Hiatt Tadd Kaeo 
Published: August 2024

Key Clinical MessageCholestatic hepatitis is a rare complication of Epstein–Barr virus infection and is often self‐limiting. Systemic signs, including viral prodrome and lymphadenopathy, can provide crucial diagnostic cues and avoid unnecessary invasive investigations or aggressive medical therapy unless indicated.
Ruthenium Catalyzed Additive‐Free N‐Formylation of Amines with CO2 and H2: Exploring Carbon Neutral Hydrogen Cycle
Authors: Rahman Mohammad Misbahur , Dutta Indranil , Gholap Sandeep Suryabhan , Ngô Giao N. , Rachuri Yadagiri , Alrais Lujain , Huang Kuo‐Wei 
Published: August 2024

AbstractThe N‐formylation of amines using CO2 hydrogenation, conducted under additive‐free conditions, represents a crucial methodology in organic synthesis. Herein, we demonstrated a highly efficient ruthenium pincer complex for the selective conversion of a wide array of amines into their corresponding formamides under additive‐free condition with a turnover number (TON) of 980,000 within a single‐batch. Controlled studies suggested the initial reduction of CO2 to ammonium formate, followed by dehydration to generate formamide. NMR experiments revealed the potential intermediates and indicated the involvement of metal‐ligand cooperativity of catalyst during substrate activation. In addition, this methodology was examined to establish a carbon neutral hydrogen storage cycle by capitalizing on the reversible transformation of formamides.
Nickel Hydroxysulfide Electrocatalyst Promotes Urea Oxidation for Energy‐Saving Hydrogen Production
Authors: Li Huamei , Li Mengyuan , Xiang Kun , You Wen , Xie Mingjiang 
Published: August 2024

AbstractThe occurrence of oxygen evolution reaction (OER) almost consumes most of the electric energy of hydrogen production by electrocatalytic water splitting. The energy required in the process of electrochemical hydrogen production can be reduced by choosing urea oxidation reaction (UOR) instead of OER. In this work, nickel hydroxysulfide is synthesized on nickel foam (NiSOH/NF) and its electrocatalytic performance was tested in UOR. Experimental results show that the vulcanization catalyst requires a low potential of 1.38 V (vs RHE) to achieve a current density of 100 mA cm−2 in an electrolyte containing 0.5 M urea, which is 270 mV lower than the conventional OER process. This innovative approach has yielded a substantial reduction in the cell voltage necessary for overall water splitting under two electrode system, thereby enhancing its efficiency and feasibility.
Non‐Enzymatic Detection of Cardiac Troponin‐I with Graphene Oxide Quenched Fluorescent Iron Nanoclusters (FeNCs)
Authors: Ibrahim Shkhair Ali , Madanan Anju S. , Varghese Susan , Abraham Merin K. , Indongo Geneva , Rajeevan Greeshma , Arathy B. K. , Muneer Abbas Sara , George Sony 
Published: August 2024

AbstractCardiac troponin I (cTnI) is the most resorted biomarker for the detection of cardiovascular disease (CVD). The means of rapid quantification of cTnI levels in the blood can substantially minimize the risk of acute myocardial infarction and heart failure. A sensor for the non‐enzymatic evaluation of cardiac troponin‐I has been developed using fluorescent iron nanoclusters via a one‐pot synthesis employing (BSA) as the template and reducing agent, and hydrogen peroxide as the additive. The fluorescence of Iron Nanocluster is quenched with graphene oxide (GO) via fluorescence resonance energy transfer (FRET) between conjugate iron nanoclusters and graphene oxide. The sensor shows a low detection limit of 0.011 ng/mL. The benefits of utilizing a non‐enzymatic probe for detecting cardiac troponin I is that it avoids the need for enzymes and hence is economical, stable, and less impacted by environmental conditions such as temperature and pH. Non‐enzymatic probes are more useful for clinical use since they are more stable and have a longer shelf life. The developed non‐enzymatic probes are also highly selective and sensitive to the target analyte, making them suitable for the direct detection of cardiac troponin I in actual biological samples.
Diels‐Alder Reaction Mechanisms of La@C60 and Gd@C60 Studied Using Density Functional Theory
Authors: Cui Cheng‐Xing , He Jun‐Ru , Qu Ling‐Bo , Li Chun‐Xiang , Peng Jia‐Li , Maseras Feliu 
Published: August 2024

AbstractEncapsulation of transition metals represents a crucial method for modifying the electronic structure and regulating the reactivity of fullerene, thereby expanding its applications. Herein, we present calculations with density functional theory methods to investigate the mechanisms of the Diels‐Alder (DA) reactions of cyclopentadiene and La@C60 or Gd@C60 as well as their tricationic derivatives. Our findings indicate that the encapsulation of La and Gd into the C60 cage is thermodynamically favorable. The DA reactions are favored by the presence of La and Gd, with lower barriers, though the regioselectivity, favoring 6−6 bonds in the fullerene, is not affected. The effect of external electric fields has been also considered.
Recent Advances in Electrolytes for Magnesium Batteries: Bridging the gap between Chemistry and Electrochemistry
Authors: Riedel Sibylle , Wang Liping , Fichtner Maximilian , Zhao‐Karger Zhirong 
Published: August 2024

AbstractRechargeable magnesium batteries (RMBs) have the potential to provide a sustainable and long‐term solution for large‐scale energy storage due to high theoretical capacity of magnesium (Mg) metal as an anode, its competitive redox potential (Mg/Mg2+:−2.37 V vs. SHE) and high natural abundance. To develop viable magnesium batteries with high energy density, the electrolytes must meet a range of requirements: high ionic conductivity, wide electrochemical potential window, chemical compatibility with electrode materials and other battery components, favourable electrode‐electrolyte interfacial properties and cost‐effective synthesis. In recent years, significant progress in electrolyte development has been made. Herein, a comprehensive overview of these advancements is presented. Beginning with the early developments, we particularly focus on the chemical aspects of the electrolytes and their correlations with electrochemical properties. We also highlight the design of new anions for practical electrolytes, the use of electrolyte additives to optimize anode‐electrolyte interfaces and the progress in polymer electrolytes.
Glycerol as Reaction Medium for Sonogashira Couplings: A Green Approach for the Synthesis of New Triarylamine‐Based Materials with Potential Application in Optoelectronics
Authors: Raglione Venanzio , Palmeri Federica , Mattioli Giuseppe , Porcelli Francesco , Caschera Daniela , Zanotti Gloria 
Published: August 2024

AbstractThis study focuses on the design, eco‐friendly synthesis, and characterization of several novel three‐legged triphenylamine derivatives. By performing Sonogashira couplings of functionalized aryl iodides with tris(4‐ethynylphenyl)amine in glycerol, a readily available bio‐derived solvent, we achieved the synthesis of target products in short times and high yields, up to 94 %, with consistently lower E‐factors and reduced costs compared to standard conditions using toluene as the reaction medium. The target molecules possess a D‐(π‐A)₃ or D‐(π‐D)₃ structure, where an electron‐donating core connects to three electron‐donating (D) or electron‐accepting (A) peripheral aromatic subunits through an acetylene spacer. Their main optical and electronic properties have been determined experimentally and by DFT simulations and suggest a possible implementation in energy conversion technologies such as luminescent solar concentrators (LSCs) and perovskite solar cells (PSCs).
Stacked dynamic target regularization enhanced autoencoder for soft sensor in industrial processes
Authors: Guo Xiaoping , Zhao Xiaofeng , Li Yuan 
Published: August 2024

AbstractStacked autoencoders (SAEs) have great potential in developing soft sensors due to their excellent feature extraction capabilities. However, the pre‐training stage of SAE is unsupervised and some important information related to target variables may be discarded. Meanwhile, as the depth of the network increases, reconstruction errors continue to accumulate, resulting in incomplete feature representations of the original input. In addition, the dynamic nature of the data affects the predictive results of the model. To address these issues, the stacked dynamic target regularization enhanced autoencoder (SDTR‐EAE) method is proposed, which adds the DTR and the original input information layer by layer to enhance the feature extraction. To adapt to the dynamic changes in data and extract target‐related features, entropy weight grey relational analysis (EW‐GRA) is used as the DTR term to constrain the weight matrix and suppress irrelevant features. To reduce the accumulation of information loss during the reconstruction, an information enhancement layer is introduced, where the original inputs and the information of the hidden layers of previous DTR‐EAE units are added to the follow‐up DTR‐EAE unit. Finally, in the regression process, the DTR term is used again to fully utilize depth features for quality prediction and prevent overfitting. Experimental verifications using the debutanizer column and thermal power plant are conducted to validate the effectiveness of the proposed modelling method.
Does the transparency of sustainability reports matter? A quantitative assessment
Authors: Demartini Maria Chiara , Beretta Valentina , Larisch Anna 
Published: August 2024

AbstractDespite the recognized advantages of sustainability disclosure and transparency in reducing information asymmetries, the quality of sustainability reports often falls short. Measuring sustainability disclosure transparency is challenging due to its multidimensional nature, necessitating a comprehensive approach. Moreover, the impact of sustainability reporting transparency on firm performance remains ambiguous. Therefore, this study examines 177 reports from companies listed in the Dow Jones sustainability index (DJSI) World index, manually collecting information on transparency indicators and subdimensions. Grounded on the disclosure, clarity, and accuracy (DCA) framework introduced by Schnackenberg and Tomlinson, a factor analysis is conducted to construct the transparency index, followed by testing research hypotheses using a linear regression model via ordinary least squares (OLS). By providing a quantitative assessment of sustainability report transparency, this study investigates its influence on firm performance. Our findings support existing research linking firm performance to the transparency of sustainability reports. Surprisingly, contrary to expectations, our study reveals that increased transparency efforts are associated with lower firm performance.
An efficient hybrid bat sand cat swarm optimization‐based node localization for data quality improvement in wireless sensor networks
Authors: Soundari Dasappagounden Pudur Velusamy , Chenniappan Poongodi 
Published: August 2024

SummaryNode localization in wireless sensor networks (WSNs) ensures that the collected data is contextually accurate, enabling effective monitoring and management of various applications. Recently, there has been a surge in research focused on addressing node localization within WSNs. Emerging trends in this field involve the application of metaheuristic optimization techniques to refine node location determination accuracy. However, existing techniques often struggle with balancing accuracy, energy consumption, network lifetime, and computational efficiency, particularly in challenging WSN environments. Therefore, this research introduces a novel approach called efficient hybrid bat sand cat swarm optimization (EHBSCSO) to address node localization within WSNs. The hybrid method leverages the exploration capabilities of the bat optimization algorithm and the exploitation strengths of the sand cat swarm optimization algorithm. This combination allows for efficient determination of node positions, significantly improving localization accuracy while minimizing energy consumption. The EHBSCSO utilizes the received signal strength indicator (RSSI) and time of flight (ToF) approaches to assess distances among nodes accurately. Accurate node localization directly improves data quality by ensuring spatially precise data collection, reducing communication overhead, and enhancing the overall reliability of the collected data. Compared to conventional methods, the proposed EHBSCSO algorithm demonstrates superior performance, with a mean localization error of 0.18%, energy consumption of 7.2 J, computational time of 8.9 s, and localization time of 0.19 s. These metrics underscore its efficiency and precision. The research indicates that EHBSCSO not only optimizes localization accuracy but also contributes to energy efficiency and faster computational times, addressing key challenges in WSN node localization.
Analysis of squeezing‐induced failure in a water tunnel and measure of rehabilitation: A case study of Tishreen tunnel, Syria
Authors: Mhanna Mohannad , Hussein Hussein Hadi 
Published: August 2024

AbstractSqueezing phenomena can lead to severe loads in deep tunnels, especially in the presence of a low ratio of surrounding rock strength to overburden pressure. For this reason, it is highly imperative to analyze and identify a suitable methodology to estimate the squeezing potential and select a proper support system of rock mass. This study aims to reveal the causes of failure of Tishreen tunnel in the west of Syria and develop remediation measures accordingly so as to bring the tunnel back into service. The tunnel in question was subjected to successive failures such as buckling and spalling of side walls, floor heave, and extremely large convergence reaching the failure state of the tunnel lining. In this study, an effective way was demonstrated to evaluate the squeezing potential of the tunnel lining and appropriate modeling of the long‐term response of a tunnel excavated in weak rock. Specifically, the causes of failure of Tishreen tunnel were first evaluated by empirical approaches. Then, a numerical model was developed using a time‐dependent constitutive model to investigate the time‐dependent response of the tunnel lining. On this basis, this study proposed an effective reinforcement schemes including steel ribs, grout injection, ground anchors, and new lining of reinforced concrete. The results show that the Burger viscoplastic model simulates effectively the resulting deformation and creep behavior of squeezing ground. It is also observed that using a combined heavy support system can provide efficient control over squeezing deformation and maintain the serviceability of the tunnel under study.
When enough is enough: Optimising monitoring effort for large‐scale wolf population size estimation in the Italian Alps
Authors: Boiani M. V. , Dupont P. , Bischof R. , Milleret C. , Friard O. , Geary M. , Avanzinelli E. , von Hardenberg A. , Marucco F. 
Published: August 2024

AbstractThe ongoing expansion of wolf (Canis lupus) populations in Europe has led to a growing demand for up‐to‐date abundance estimates. Non‐invasive genetic sampling (NGS) is now widely used to monitor wolves, as it allows individual identification and abundance estimation without physically capturing individuals. However, NGS is resource‐intensive, partly due to the elusive behaviour and wide distribution of wolves, as well as the cost of DNA analyses. Optimisation of sampling strategies is therefore a requirement for the long‐term sustainability of wolf monitoring programs. Using data from the 2020–2021 Italian Alpine wolf monitoring, we investigate how (i) reducing the number of samples genotyped, (ii) reducing the number of transects, and (iii) reducing the number of repetitions of each search transect impacted spatial capture‐recapture population size estimates. Our study revealed that a 25% reduction in the number of transects or, alternatively, a 50% reduction in the maximum number of repetitions yielded abundance estimates comparable to those obtained using the entire dataset. These modifications would result in a 2046 km reduction in total transect length and 19,628 km reduction in total distance searched. Further reducing the number of transects resulted in up to 15% lower and up to 17% less precise abundance estimates. Reducing only the number of genotyped samples led to higher (5%) and less precise (20%) abundance estimates. Randomly subsampling genotyped samples reduced the number of detections per individual, whereas subsampling search transects resulted in a less pronounced decrease in both the total number of detections and individuals detected. Our work shows how it is possible to optimise wolf monitoring by reducing search effort while maintaining the quality of abundance estimates, by adopting a modelling framework that uses a first survey dataset. We further provide general guidelines on how to optimise sampling effort when using spatial capture‐recapture in large‐scale monitoring programmes.