bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regulating Organic Modifiers on Metal‐Based Catalysts for Enhanced Electrocatalytic CO2 Reduction
Authors: Li Qingchao , Zheng Xiaoli , Zhu Zhengkai , Ma Fuxiao , Kong Weiqian , Zhang Yunpeng , Xu Qun 
Published: December 2024

AbstractElectrochemical CO2 reduction reaction (CO2RR) has been proved as a promising pathway for valuable chemical production and sustainable carbon cycling. Various regulatory strategies have been explored to boost CO2RR performance. Among these, metal‐based electrocatalytic CO2RR systems regulated by organic modifiers have been shown to play a pivotal role in regulating the complex catalytic processes. Herein, we provide an overview of the recent effective research for regulating the organic modifiers on metal‐based catalyst to enhance CO2RR performance. Two main fundamental mechanisms of enhanced CO2RR with organic modifiers are discussed, including controlling the local microenvironment (local concentration of reactant/intermediate, local pH, interface electric field) at the electrode surface and modulating intrinsic catalytic activity (crystal and electronic structure). Moreover, effective strategies to preserve a stable organic modifier/catalysts interface are also reviewed. Finally, the challenges and prospects faced by organic modifiers regulated metal‐based catalysts in CO2RR are proposed. We hope this review will provide a systematic and comprehensive understanding of the actual impacts of organic modifiers on the development of efficient CO2RR catalysts with favorable activity, selectivity, and stability.
Assessing a Hierarchical Structure for Circular Supply Chain Management Performance: Improving Firms' Eco‐Innovation and Technological Performance
Authors: Kurrahman Taufik , Tsai Feng Ming , Sethanan Kanchana , Chen Chih‐Cheng , Tseng Ming‐Lang 
Published: December 2024

ABSTRACTThis study develops and assesses the validity of a hierarchical structure for circular supply chain management performance (CSCMP) in the semiconductor industry. Previous studies have focused on synchronizing technological performance with eco‐innovation to enhance the circular operations, financial benefits, environmental advantages, and social benefits of CSCMP. This study employs a hybrid data–driven approach that combines qualitative and quantitative techniques to develop a hierarchical structure and determine the ranks of various attributes, thereby providing decision‐makers with valuable insights and practical guidance. Content and bibliographic analyses, the entropy‐weighted method, the fuzzy Delphi method, exploratory factor analysis, fuzzy decision‐making trials, evaluation laboratories, and fuzzy analytic network processes are incorporated in this data‐driven approach. The findings of this research suggest that stakeholders must collaborate to improve eco‐innovation and technological performance with the goal of enhancing CSCMP. Decision‐makers must prioritize stakeholder engagement, risk and responsibility sharing, and collaboration within the circular supply chain. Additionally, service innovations and network innovations can enhance the circularity model.
Understanding the Role of Consumers for a Sustainable Future: Empirical Evidence From a Three‐Stage Hybrid Analysis Incorporating Bibliometrics, PLS‐SEM, and ANN
Authors: Armutcu Barış , Ramadani Veland , Tan Ahmet , Appolloni Andrea 
Published: December 2024

ABSTRACTThis present study aims to provide ways to surmount the barriers to sustainable green consumption by identifying the main antecedents influencing consumers' green apparel purchasing intentions with Asian, Middle Eastern, and European consumption cultures. The study expands the TPB model (attitude, subjective norms, and perceived behavioral control) by adding the variables of altruism, openness to change, and receptivity to green communication within the framework of the value–attitude–behavior hierarchy (VABH). It makes significant contributions to the sector along with the relevant literature. In this regard, the green apparel literature was first reviewed using the bibliometrics (R and VOSviewer) method. Secondly, the data collected by the questionnaire method from 440 participants who were conscious of green apparel consumption were analyzed using the structural equation modeling (PLS‐SEM). Finally, the findings obtained from SEM were confirmed with the analysis method using the artificial neural network (PLS‐ANN). Moreover, within the framework of the VABH, attitude mediates the relationship between altruism and consumers' green apparel purchase intentions. The findings obtained from SEM revealed that the most determining factors in consumers' green apparel purchase intentions are behavioral control, altruism, attitude, and subjective norms, respectively. These findings are similar to and confirmed by the ANN analysis results.
Clinical Outcomes Following Optical Coherence Tomographic Versus Intravascular Ultrasound‐Guided Percutaneous Coronary Intervention: A Meta‐Analysis of Randomized Controlled Trials
Authors: Dodoo Sheriff N. , Ibrahim Sammudeen , Osman Abdul‐Fatawu , Balaji Nivedha , Salih Rayan , Kilaru Vikas , Ampadu Dennis K. , Dodoo Afia S. , Egolum Ugochukwu , Toleva Olga , Ghasemzadeh Nima , Ramadan Ronnie , Giugliano Gregory , Henry Glen , Ibebuogu Uzoma , Samady Habib 
Published: December 2024

ABSTRACTBackgroundOptical coherence tomography (OCT) and intravascular ultrasound (IVUS) are adjunctive intracoronary imaging modalities used to optimize coronary stent implantation. However, the impact of OCT versus IVUS on clinical outcomes and periprocedural complications is unclear.AimsTo perform a meta‐analysis of all vetted randomized controlled trials comparing OCT‐guided versus IVUS‐guided percutaneous coronary intervention.MethodsWe queried MEDLINE, Cochrane Library, Scopus, and clinicalTrials.gov databases from their commencement to February 2024 for all randomized controlled trials that compared OCT‐guided versus IVUS‐guided percutaneous coronary interventions. The primary endpoint was major adverse periprocedural events (MAPE), a composite of stent thrombosis (ST), distal embolization (DE), and distal edge dissection (DED) at 30 days. The secondary endpoints included ST, DE, DED, major adverse cardiac events (MACE)—(a composite of cardiac death, target vessel myocardial infarction TVMI], and target vessel revascularization [TVR]), all‐cause mortality, cardiac death, TVMI, TVR, and nonfatal stroke at 1 year. The odds ratio (OR) with a 95% confidence interval (CI) was analyzed using a random‐effect model.ResultsSeven randomized controlled trials were included in the analysis, and 4446 patients were enrolled. OCT was associated with lower MAPE (OR: 0.65, CI: 0.47–0.91, p = 0.01) compared to IVUS. ST, DE, and DED were similar between OCT and IVUS at 30 days. There were no significant differences in MACE (OR: 0.86, CI: 0.64–1.16, p = 0.32), all‐cause mortality (OR: 0.83, CI: 0.42–1.66, p = 0.60), Cardiac death (OR:0.62, CI: 0.20–1.89, p = 0.40), TVMI (OR: 0.69, CI: 0.33–1.46, p = 0.33), TVR, (OR: 1.09, CI: 0.70–1.71, p = 0.70), and Nonfatal stroke (OR: 1.82, CI: 0.67–4.95, p = 0.24) 1 year following the index procedure.ConclusionOptical coherence tomographic‐guided PCI was associated with lower MAPE, defined as a composite of ST, DE, and DED, compared to IVUS‐guided PCI at 30 days of the index procedure. However, there was no difference in overall MACE, TVMI, TVR, and nonfatal stroke at 1 year.
Solid‐State Sodium‐Ion Batteries: Theories, Challenges and Perspectives
Authors: Si Hanjie , Ma Jun , Xia Xiao , Wang Qingmei , Geng Shuo , Fu Lin 
Published: December 2024

AbstractSodium‐ion batteries have abundant sources of raw materials, uniform geographical distribution, and low cost, and it is considered an important substitute for lithium‐ion batteries. Thereinto, solid‐state sodium‐ion batteries have the advantages of low raw material cost, high safety, and high energy density, and it has shown great potential for application in the fields of mobile power, electric vehicles, and large‐scale energy storage systems. However, the commercial development and large‐scale application of solid‐state sodium‐ion batteries urgently need to address issues such as the low room‐temperature ionic conductivity of solid electrolytes, high interfacial charge transfer impedance, and poor compatibility and contact between the solid electrolytes and the electrodes. Herein, this paper systematically discusses the basic theories of solid‐state sodium‐ion batteries, including working principles and characteristics, electrode materials and components, and solid electrolytes. Then, focusing on solid electrolytes, the key scientific challenges faced by solid‐state sodium‐ion batteries were systematically discussed, and the application of interface modification in enhancing solid‐state electrolytes was reviewed. Finally, the future industrial development of solid‐state sodium‐ion batteries was prospected. This review helps to deepen the understanding of the interface scientific issues of solid‐state sodium‐ion batteries and provides theoretical guidance for its development and application. Furthermore, this review also provides the necessary engineering theoretical guidance to accelerate the large‐scale commercial application of solid‐state sodium‐ion batteries, which has significant scientific value and profound social significance.
Reductive Aromatization of 5,7,12,14‐Pentacenetetrone: Approach Towards Substituted Pentacenes?
Authors: Kleykamp Olaf A. , Sharikow Eugen , Stoy Andreas , Xie Xiulan , Lichtenberg Crispin , Sundermeyer Jörg 
Published: December 2024

AbstractHerein we report a convenient access to asymmetrically substituted, well soluble pentacene derivatives synthesized from commercially available 5,7,12,14‐pentacenetetrone via reductive one step functionalization. Zinc or potassium are used as reducing agents and the reduced intermediates are trapped with electrophiles such as acetyl, triisopropylsilyl or cationic methyl synthons. The reduction allows for an unsymmetric functionalization whilst one dione moiety is maintained due to partial reduction. The resulting dyes are characterized by UV/Vis and photoluminescence spectroscopy. Their redox potentials are studied by cyclic voltammetry. The experimentally determined molecular frontier orbital energies are rationalized by density functional theory. The spatial molecular packing motive in the solid state is studied as a function of the substituent size by X‐ray crystallography. Attempts of reducing the second quinone moiety towards a functionalized pentacene led to an over‐reduced 6,13‐dihydropentacene derivative, which by means of an XRD structural analysis surprisingly displays a planar molecular conformation and unique optoelectronic properties.
Sulfonatocalix[4]arene‐Based Scavengers for V‐Type Nerve Agents with Enhanced Detoxification Activity
Authors: Gaß Patrick , Casalino Sebastiano , Worek Franz , Kubik Stefan 
Published: December 2024

AbstractSynthetic small molecule scavengers that rapidly detoxify nerve agents in vivo allow (pre)treatment of nerve agent poisoning. However, scavengers that detoxify persistent V‐type nerve agents at pH 7.4 and 37 °C with sufficient efficiency are still unknown. The most promising compound to date is a monosubstituted sulfonatocalix[4]arene containing a hydroxamic acid group. This compound was used to investigate the effect of structural modifications on detoxification activity. While none of the monosubstituted calixarene derivatives considered in this context possessed higher activity than the parent compound, the disubstituted derivatives were very active, exhibiting half‐lives of detoxification under the conditions of an established in vitro assay of <1.5 min. The rate of detoxification decreased with decreasing scavenger concentration, but even at a fourfold molar excess of the scavenger, complete detoxification of 2.5 μM solutions of some nerve agents could be achieved within one hour. These disubstituted calixarene derivatives thus bring synthetic scavengers for V‐type nerve agents closer to application.
How the interaction between board gender diversity and ESG shapes dividend policy
Authors: Hampl Filip , Vágnerová Linnertová Dagmar 
Published: December 2024

AbstractThis study investigates the moderating role of ESG performance on the relationship between board gender diversity and dividend payout ratio in European listed non‐financial companies in 2014–2023. Additionally, it explores the threshold level of female directors required to influence dividend payouts and compares companies operating under Anglo‐Saxon (common law) and continental (civil law) systems. It employs two‐way fixed effects panel linear regression models on a balanced longitudinal dataset of 5230 firm‐year observations and system generalised method of moments (GMM‐SYS) GMM to address endogeneity concerns. The results suggest a negatively significant moderating role of ESG performance on the positive relationship between female board directors and companies' dividend payout ratios. Additionally, they provide evidence of a critical mass of female directors and emphasise the significance of regional variations stemming from governance norms and regulatory frameworks. The findings contribute to corporate practice and empirically enhance agency, signalling and critical mass theories.
An Ecologist‐Friendly R Workflow for Expediting Species‐Level Classification of Camera Trap Images
Authors: Petroni L. , Natucci L. , Massolo A. 
Published: December 2024

ABSTRACTCamera trapping has become increasingly common in ecological studies, but is hindered by analyzing large datasets. Recently, artificial intelligence (deep learning models in particular) has emerged as a promising solution. However, applying deep learning for images processing is complex and often requires programming skills in Python, reducing its accessibility. Some authors addressed this issue with user‐friendly software, and a further progress was the transposition of deep learning to R, a statistical language frequently used by ecologists, enhancing flexibility and customization of deep learning models without advanced computer expertise. We aimed to develop a user‐friendly workflow based on R scripts to streamline the entire process, from selecting to classifying camera trap images. Our workflow integrates the MegaDetector object detector for labelling images and custom training of the state‐of‐the‐art YOLOv8 model, together with potential for offline image augmentation to manage imbalanced datasets. Inference results are stored in a database compatible with Timelapse for quality checking of model predictions. We tested our workflow on images collected within a project targeting medium and large mammals of Central Italy, and obtained an overall precision of 0.962, a recall of 0.945, and a mean average precision of 0.913 for a training set of only 1000 pictures per species. Furthermore, the custom model achieved 91.8% of correct species‐level classifications on a set of unclassified images, reaching 97.1% for those classified with > 90% confidence. YOLO, a fast and light deep learning architecture, enables application of the workflow even on resource‐limited machines, and integration with image augmentation makes it useful even during early stages of data collection. All R scripts and pretrained models are available to enable adaptation of the workflow to other contexts, plus further development.
Investigation on specific evaporation rates during biosolid air drying process
Authors: Li Fangtian , Zhang Xin , Ji Yun 
Published: December 2024

AbstractBiosolids, inevitable by‐products of wastewater treatment processes, can be potentially used as a biomass feedstock for energy and resource applications. These by‐products have a high moisture content, which must be reduced before they can be used for further applications. Natural air drying is an energy saving and sustainable approach, but it highly depends on local climatic conditions. We conducted biosolid air drying experiments under room temperature and winter outdoor temperature. The biosolid air drying experiment under room temperature was designed to screen four factors: wind speed, solid content, layer thickness and pan location. Wind speed and solid content were identified as primary factors, and the specific evaporation rate increased as the wind speed increased and decreased as solid content increased. The developed regression model can effectively predict the specific evaporation rate. Under winter outdoor temperature, the results revealed the surrounding temperature has a great effect on the sublimation rate.
Optimisation of Essential Oil Extraction of Lindera neesiana From Supercritical Carbon Dioxide Fluid and Comparison to Steam and Simultaneous Distillation Extraction
Authors: Shyaula Sajan L. , Ghimire Mandira , Maharjan Sajan , Gurung Khilendra 
Published: December 2024

ABSTRACTA study was performed on the fruits of Lindera neesiana (Wall. ex Nees) Kurz essential oil extracted by different methods; steam distillation (SD), simultaneous distillation extraction (SDE) and supercritical fluid extraction (SFE). The operating conditions tested achieved a maximum yield, 11.08% for supercritical CO2 extraction, 1.03% for steam distillation and 2.53% for solvent distillation. The response surface methodology was used to optimise the experiment. The extractions using supercritical CO2 were performed at different pressure 131, 140, 163, 185 and 194 bar and at temperatures 41°C to 49°C. The optimised condition for the experiment was the pressure of 162 bar and temperature of 42°C in order to get the maximum extraction yield of about 10.44% of L. neesiana oil. Total 33 compounds were identified in L. neesiana oil from the fruits by GCMS. The constituents of oil extracted by different methods were mostly similar qualitatively whereas the relative proportions of compounds identified were markedly different. In the SFE, the less volatile compounds such as myristicin, elemicin, geranic acid and caryophyllene oxide are predominant whereas, in the SDE and SD process, the high volatile compounds including sulcatone, citral, α‐pinene and eucalyptol are principal compounds. This variation in chemical composition suggests diverse potential industrial applications for the essential oils extracted by different methods. The increment of extraction yields upto 11.08% from SFE is an impressive achievement in the plant business.
Evaluation of the Nutritional Properties and Biodegradation of Novel Disposable Edible Tableware Made of Olive Pomace
Authors: Grzelczyk Joanna , Gałązka‐Czarnecka Ilona , Drożdżyński Piotr , Oracz Joanna 
Published: December 2024

ABSTRACTOlive pomace is a valuable source of bioactive compounds. Olive pomace is not fully utilized, so the goal was to create edible disposable tableware from the by‐products of the olive pressing process. For this purpose, a mixture was created from olive pomace, teff flour, sorghum, and lecithin (75.5/12/12/0.5), from which the vessels had various shapes were obtained. The edible dishes were analyzed for their antioxidant potential, aroma, and nutritional value, and the biodegradability of the dishes was tested. Studies have shown that the dining tableware is nutritious, protein content of 3.25 g/100 g, fiber content of 11.84 g/100 g, 2.45 mg/100 g of vitamin E, and high content of omega fatty acids. Edible dishes made of bran, corn, or leaves do not contain vitamin E and omega acids. Additionally, due to the frequent use of flour mixtures, the packages available on the market contain up to 7 g/100 g of fiber, while the protein content is similar when using flour mixtures. The edible disposable tableware was also characterized by good biodegradability. Olive pomace is a valuable source for creating edible dishes, while maintaining the principles of sustainable envelopment and sustainability.
Dual Wavelength LEDs Induce Reactive Oxygen Species and Nitric Oxide That Inhibit the Production of Dihydrotestosterone by 5‐α Reductase
Authors: Kocher Jacob , Jandick Nicole , Spragion Derry , DeSena P. Joseph , Womble T. Matthew , Crizer Katelyn , Stasko Nathan 
Published: December 2024

ABSTRACTAndrogenetic alopecia (AGA) causes balding in approximately 50% of adults. One primary cause of AGA is synthesis of dihydrotestosterone from testosterone by 5‐α reductase. Systemic pharmaceutical interventions have potentially serious side effects, necessitating development of localized interventions. One such approach is administration of red light via low level light therapy (LLLT), which has promising clinical data. However, the LLLT mechanism of action remains unclear. We investigated the ability of LLLT to stimulate nitric oxide (NO) and the role of NO in inhibition of DHT synthesis. Our results show that red and red‐orange light induce NO release in a cell‐free platform. In A549 and HEK293T cells, we demonstrate 620 and 660 nm LED‐emitted light stimulates the production of NO, reactive oxygen species (ROS), and decreases DHT synthesis. These results provide a plausible mechanism of action for LLLT employing LED‐emitted red and red‐orange wavelengths of light to treat AGA.
A Snapshot of Cytokine Dynamics: A Fine Balance Between Health and Disease
Authors: Mallick Sumit , Duttaroy Asim K. , Bose Bipasha 
Published: December 2024

ABSTRACTHealth and disease are intricately intertwined and often determined by the delicate balance of biological processes. Cytokines, a family of small signalling molecules, are pivotal in maintaining this balance, ensuring the body's immune system functions optimally. In a healthy condition, cytokines act as potent mediators of immune responses. They orchestrate the activities of immune cells, coordinating their proliferation, differentiation, and migration. This intricate role of cytokine signalling enables the body to effectively combat infections, repair damaged tissues, and regulate inflammation. However, the delicate equilibrium of cytokine production is susceptible to disruption. Excessive or abnormal cytokine levels can lead to a cascade of pathological conditions, including autoimmune diseases, chronic inflammation, infections, allergies, and even cancer. Interestingly, from the bunch of cytokines, few cytokines play an essential role in maintaining the balance between normal physiological status and diseases. In this review, we have appraised key cytokines' potential role and feedback loops in augmenting the imbalances in the body's biological functions, presenting a critical link between inflammation and disease pathology. Moreover, we have also highlighted the significance of cytokines and their molecular interplay, particularly in the recent viral pandemic COVID‐19 disease. Hence, understandings regarding the interplay between viral infection and cytokine responses are essential and fascinating for developing effective therapeutic strategies.