bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of functional groups on lithium salt dispersion and mobility in polymer electrolytes
Authors: Foran Gabrielle Y. , St‐Antoine Caroline , Lepage David , Cui Mengyang , Zheng Runze , Prébé Arnaud , Goward Gillian R. , Dollé Mickaël 
Published: August 2024

AbstractSolid Polymer electrolytes are versatile, highly processible and electrochemically compatible with solid electrode materials. The versatility of these materials is a result of the existence of many possible conductive polymer‐salt, polymer‐polymer and salt‐salt combinations. Despite the wide array of available lithium salts, most polymer electrolyte materials are made using lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) due to its long history of achieving relatively high ionic conductivities in polymer electrolyte systems with the most famous being poly(ethylene oxide) (PEO). It is however possible that better ionic conductivities can be achieved with different salts and/or in polymer matrices containing different functional groups. This is because ionic conductivity in polymer electrolytes is partially based on the ability of the polymer matrix to dissolve and bond to the salt. These interactions impact local‐scale ion mobility which can be measured via NMR spectroscopy using pulsed field gradient experiments. In this work, polymer electrolytes are prepared using PEO, hydrogenated nitrile butadiene rubber and poly(propylene) carbonate. Ion mobility, lithium conductivity and salt‐polymer interactions are investigated to compare interactions between LiTFSI and lithium cyano(trifluorosulfonyl)imide in polymers with common salt‐dissociating functional groups such as ethyl, nitrile and carbonate to determine the impact of these interactions on ionic conductivity.
Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy
Authors: Saitta Cesare , Paciotti Marco , Lughezzani Giovanni , Garofano Giuseppe , Meagher Margaret F. , Yuen Kit L. , Fasulo Vittorio , Contieri Roberto , Avolio Pier Paolo , Piccolini Andrea , Arena Paola , Mantovani Matilde , Beatrici Edoardo , Calatroni Marta , Reggiani Francesco , Hurle Rodolfo F. , Lazzeri Massimo , Saita Alberto , Casale Paolo , Derweesh Ithaar H. , Buffi Nicolò M. 
Published: August 2024

AbstractPurposeThe purpose of this study is to investigate the impact of Mayo Adhesive Probability (MAP) score and body mass index (BMI) on renal function decline after robotic assisted partial nephrectomy (RAPN).MethodsWe queried our prospective database for patients who underwent RAPN between January 2018 and December 2023. Outcomes were development of de novo CKD‐S3 (estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m2). Multivariable analysis (MVA) via Cox regression identified predictors for CKD‐S3. Kaplan–Meier Analyses was fitted for survival assessment. Finally, multivariable linear regression was utilized to identify predictors of delta eGFR at last follow‐up (preoperative eGFR—last eGFR).ResultsTwo‐hundred fifty‐eight patients were analysed (obese n = 49 [19%]; MAP score 0–2 = 135 [52.33%]; MAP score 3–5 = 123 [47.6%]) with a median follow‐up of 33 (IQR 20–42) months. MVA revealed, high MAP score (HR 2.29, p = 0.019), increasing RENAL score (HR 1.26, p = 0.009), increasing age (HR 1.04, p = 0.003), obesity (HR 2.38, p = 0.006) and diabetes mellitus (HR 2.38, p = 0.005) as associated with increased risk of development of CKD‐S3, while trifecta achievement was not (p = 0.63). Comparing low MAP score versus high MAP score 4‐year CKD‐S3 free survival was 87.8% versus 56.1% (p < 0.001). Multivariable linear regression showed that high MAP score (coefficient 6.64, p = 0.001) and BMI (coefficient 0.51, p = 0.011) were significantly associated with increased delta eGFR at last follow up.ConclusionsMAP score and increasing BMI are predictor for long term renal functional detrimental. These insights may call consideration for closer follow‐up or greater medical scrutiny prior surgery in obese patients and with elevated MAP score. Further investigations are requisite.
The moderating role of board gender diversity in ESG and firm performance: Empirical evidence from Gulf countries
Authors: Alahdal Waleed M. , Hashim Hafiza Aishah , Almaqtari Faozi A. , Salleh Zalailah , Pandey Dharen Kumar 
Published: August 2024

AbstractThe study aims to analyze the impact of environmental, social, and governance performance (ESGP) on firm performance (FP) in the Gulf countries. Furthermore, this study examines how the number of female members on the board affects the relationship between ESGP and FP. This study uses balanced panel data of 424 firm‐year observations from 106 Gulf non‐financial listed firms from 2018 to 2021. The results show that the effect of ESGP and social performance (SP) on return on equity (ROE) is positive and statistically significant. SP and governance performance (GP) reveal a positive impact on ROE. However, a negative impact is exhibited instead for Tobin's Q (TQ). Conversely, environmental performance (EP) positively affects both ROE and TQ. Besides that, the diversity of board gender significantly and positively strengthens the relationships of ESGP, EP, SP, and GP with FP. The study concludes that policymakers in the Gulf countries and public company executives can use the suggestions from this research to change existing corporate governance rules to encourage more ESG performance and board diversity. We also emphasize the need to consider ESG performance and the diversity of the board when making plans to meet societal expectations and reach business goals. To the best of our knowledge, this study is among only a few that have investigated the effect of board gender diversity on the impact of ESGP on FP in the context of Gulf countries.
CNN‐based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma
Authors: Islam Tobibul , Hoque Md Enamul , Ullah Mohammad , Islam Toufiqul , Nishu Nabila Akter , Islam Rabiul 
Published: August 2024

AbstractObjectiveBreast cancer is one of the leading cancer causes among women worldwide. It can be classified as invasive ductal carcinoma (IDC) or metastatic cancer. Early detection of breast cancer is challenging due to the lack of early warning signs. Generally, a mammogram is recommended by specialists for screening. Existing approaches are not accurate enough for real‐time diagnostic applications and thus require better and smarter cancer diagnostic approaches. This study aims to develop a customized machine‐learning framework that will give more accurate predictions for IDC and metastasis cancer classification.MethodsThis work proposes a convolutional neural network (CNN) model for classifying IDC and metastatic breast cancer. The study utilized a large‐scale dataset of microscopic histopathological images to automatically perceive a hierarchical manner of learning and understanding.ResultsIt is evident that using machine learning techniques significantly (15%–25%) boost the effectiveness of determining cancer vulnerability, malignancy, and demise. The results demonstrate an excellent performance ensuring an average of 95% accuracy in classifying metastatic cells against benign ones and 89% accuracy was obtained in terms of detecting IDC.ConclusionsThe results suggest that the proposed model improves classification accuracy. Therefore, it could be applied effectively in classifying IDC and metastatic cancer in comparison to other state‐of‐the‐art models.
Regulating the Electronic Structure of Pd Nanoparticles on NH3‐Pretreated Nano‐Flake TiO2 for Efficient Hydrogenation of Nitrile Butadiene Rubber
Authors: Wang Shidong , Fan Benwei , Ge Bingqing , Zhang Hongwei , Hu Cejun , Cui Qinyang , Bao Xiaojun , Yuan Pei 
Published: August 2024

AbstractThe heterogeneous selective hydrogenation of nitrile butadiene rubber (NBR) is an efficient method to generate high value‐added hydrogenated NBR. Nevertheless, the inherent large molecular size and high spatial hindrance of polymers lead to poor activity and metal loss. Herein, we report a simple support ammonia pretreatment strategy for the synthesis of efficient N‐doped Pd catalyst and applied for the NBR hydrogenation. The results reveal that N doping enhances electron transfer from the support to Pd more effectively than oxygen‐rich vacancy support, thereby substantially enhancing the electron cloud density and stability of the Pd sites. The formation of more electron‐rich Pd sites not only significantly enhances the adsorption‐activation ability of C=C and H2, but also lowers the apparent activation energy of the reaction. As a result, the Pd/N‐TiO2‐R demonstrates best activity with a hydrogenation degree (HD) of 98 % and a TOF value of 335 h−1, significantly higher than that of Pd/TiO2−R (HD=83 %, 282 h−1) and Pd/TiO2 (HD=74 %, 204 h−1). This strategy will provide new inspiration to improve the activity and stability of Pd/TiO2 catalysts for the hydrogenation of unsaturated polymers.
Access to Diverse Carbonyl Compounds by Catalyst‐Free and Photoinduced Aerobic Cleavage of C=N Bonds
Authors: Xia Dingding , Wang Weijie , Xu Xike , Zhu Yanping , Li Qiannan , Wang Jinxin , Zhang Yu , Zhang Wei‐Dong 
Published: August 2024

AbstractFunctional group interconversion is of great significance in organic synthesis. However, aerobic cleavage of C=N bonds to access carbonyl compounds still suffered from some limitations such as harsh reaction conditions, stoichiometric oxidants, poor substrate scope and use of toxic reagents. Herein, we report a catalyst‐free and photo‐induced aerobic cleavage of C=N bonds to afford diverse carbonyl compounds using oxygen from air as green oxidant. This mild methodology permits N‐tosylhydrazones converted into the corresponding carbonyl compounds including ketones, aldehydes and carboxylic acids, showing broad functional group tolerance and compatibility. Moreover, the gram‐scale reaction and post‐modification of complicated molecules proved the applicability and efficiency of this strategy. Finally, a plausible mechanism was proposed based on spectroscopic investigations and detailed mechanistic studies.
Use of molecular simulation to design modification of a chromium‐based MOF for adsorptive removal of inhalation anaesthetic agents
Authors: Haeri‐Nejad Masoud , Eic Mladen 
Published: August 2024

AbstractMIL‐101‐Cr‐X (X = OH−, F−) has been reported to be the most suitable material so far for adsorptive removal of inhalation anaesthetic agents (IAA) sevoflurane and desflurane at the working conditions in hospital operation rooms. To further enhance its affinity and uptake capacity towards IAA, several structural modifications were proposed, and their isotherms were predicted using our molecular simulation approach adopted in our previous publication for the case of the pristine MIL‐101‐Cr (X = F−, OH−) structure. The proposed modifications include (1) grafting the metal‐cluster site with coordinated NH3 ligands to produce MIL‐101‐Cr@NH3 (X = F−, OH−), (2) anion exchange of the fluorine atom bonded to chromium with chlorine to synthesize MIL‐101‐Cr (X = Cl−), and (3) functionalization of the benzene rings of the ligand linkers in the MOFs with amino‐ and nitro‐ groups in order to form NH2‐MIL‐101‐Cr (X = Cl−) and NO2‐MIL‐101‐Cr (X = Cl), respectively. Simulated adsorption isotherms of IAA on these modifications were verified by the experimental results using the standard volumetric technique and they clearly demonstrated that MIL‐101‐Cr@NH3 (X = F−, OH−) possesses the highest equilibrium capacity for IAA. This observation can be attributed to the electron‐transfer contribution of the coordinated ammonium molecules to the unsaturated coordinated sites of the MOF while doing away with steric hindrance inside the pore cages. The new compound can significantly enhance the economy of adsorptive removal of IAA from vented gas mixtures.
CRISPR/Cas9 effectively generate chromosome structural variations in rice protoplasts
Authors: Sun Jiaying , Wang Yating , Guo Chenchu , Ge Ruiyun , Naren Tuya , Jiang Linjian 
Published: August 2024

AbstractChromosome structural variations (SVs), such as deletion, duplication, inversion, and translocation, are important contributors to genetic diversification and crop improvement. Using genome editing tools such as clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR‐associated nuclease (Cas9), desired SVs involving large DNA fragments have been created in rice (Oryza sativa L.), maize (Zea mays L.), and Arabidopsis (Arabidopsis thaliana L.). However, it is still uncertain whether the size of DNA fragment involved could be a prohibiting factor to generate Cas9‐mediated SVs. In this study, we constructed five CRISPR/Cas9 vectors, each expressing two single‐guide RNAs (sgRNAs), to cut two sites spacing at 0.5, 5, 10, 20, and 30 Mb on rice chromosome 4 (Chr4), respectively. Meanwhile, another CRISPR/Cas9 vector cutting two sites, one on Chr4 and the other on Chr1, was also constructed for creation of chromosomal translocation between Chr1 and Chr4. These vectors were transfected into rice protoplasts by polyethylene glycol–mediated transformation. Specific primers were designed to detect desired SV events. The results showed that all designed SVs could be effectively generated by CRISPR/Cas9 in rice protoplasts. This study suggested that the size of DNA fragment involved is unlikely a prohibiting factor for creation of desired SV events.
Floodlight or spotlight? Public attention and corporate social responsibility decoupling
Authors: He Ling , Gan Shengdao 
Published: August 2024

AbstractRecently, there has been a surge of criticism against corporate social responsibility (CSR) decoupling due to its detrimental implications for both business and society. Thus, reducing this disconnect and fostering the consistency between firms' talk and walk has become an urgent priority. We employ a fixed‐effects model to examine the impact of public attention on CSR decoupling using 5633 annual observations from Chinese A‐share listed firms spanning 2011–2020. Our results show that firms subjected to heightened public attention tend to engage less in CSR decoupling. Further dividing into “greenwashing” and “brownwashing” types, we discover that public attention significantly curbs the occurrence of “greenwashing” decoupling. Channel tests indicate that public attention effectively inhabits CSR decoupling through information and supervision channels. We also document that a lower level of CSR decoupling for firms with intensive public attention results in lower reputational crisis and superior financial performance, highlighting the benefits of aligning CSR talk with CSR walk. These findings provide evidence supporting the imperative role of public oversight in curbing corporate misconduct and contribute to the ongoing scholarly debate on CSR decoupling.
Porous Wood Composite as a Green Approach for Enhancing Electrochemical Performance of Gel Polymer Electrolytes for Supercapacitors
Authors: Hou Pu , Liu Yue , Gao Zunchang , Liu Yang , Gu Jiyou , Dong Jidong , Huo Pengfei 
Published: August 2024

AbstractDelignified wood (DW) is a kind of environment‐friendly porous material, and its unique hierarchical orous structure and excellent wettability are conducive to the rapid transfer and storage of ions, which can be used as electrolyte matrix of supercapacitors. In order to solve the deficiency of mechanical properties of DW as electrolyte materials, a novel cross‐linked polyurethane (CPU) with high water absorption is designed as a reinforced matrix to improve the mechanical properties of electrolytes while maintaining high ionic conductivity. First, DW is immersed in CPU precursor solution, and the DW/CPU composite (W‐CPC) is obtained by thermal crosslinking. Finally, W‐CPC is soaked in 1 M LiClO4 aqueous electrolyte to obtain the composite gel polymer electrolyte (W‐CPC‐GPE). Benefiting from the good hydrophilicity of W‐CPC, the anisotropic vertical channels inside the DW, and the synergism of hydrogen bond and covalent bond. The highest ionic conductivity and mechanical strength of W‐CPC‐GPE are 3.5×10−2 S cm−1 and 0.67 MPa, respectively. The W‐CPC‐5‐G based supercapacitor exhibits a high specific capacitance of 146.52 F g−1 and favorable capacitance retention rate of 90.7 % after 5000 cycles. The results show that compounding with DW is an efficient and green way to develop high‐performance gel polymer electrolytes for supercapacitors.
Furandicarboxylic Acid (FDCA): Electrosynthesis and Its Facile Recovery From Polyethylene Furanoate (PEF) via Depolymerization
Authors: Dargó Gyula , Kis Dávid , Ráduly Amália , Farkas Vajk , Kupai József 
Published: August 2024

AbstractReplacing fossil fuels with renewable, bio‐based alternatives is inevitable for the modern chemical industry, in line with the 12 principles of green chemistry. 2,5‐Furandicarboxylic acid (FDCA) is a promising platform molecule that can be derived from 5‐hydroxymethyl furfural (HMF) via sustainable electrochemical oxidation. Herein, we demonstrate TEMPO‐mediated electrooxidation of HMF to FDCA in ElectraSyn 2.0 using inexpensive commercially available electrodes: graphite anode and stainless‐steel cathode, thereby avoiding the often cumbersome electrode preparation. Key parameters such as concentration of HMF, KOH, and catalyst loading were optimized by experimental design. Under the optimized conditions, using only a low amount of TEMPO (5 mol %), high yield and Faradaic efficiency of 96 % were achieved within 2.5 h. Moreover, since FDCA is a monomer of the bio‐based poly(ethylene furanoate), PEF, we aimed to investigate its recovery by depolymerization, which could be of paramount importance in the circular economy of the FDCA. For this, a new polar aprotic solvent, methyl sesamol (MeSesamol), was used, allowing the facile depolymerization of PEF at room temperature with high monomer yields (up to 85 %), while the cosolvent MeSesamol was recycled with high efficiency (95–100 %) over five reaction cycles.
NiO‐Incorporated Cu/Cu2O Nanowires for Highly Efficient Electrochemical Nitrate Reduction to Ammonia
Authors: Mo Zuohong , Ma Zhihui , Ran Yinjun , Wang Yage , Li Tianhao , Sun Wei , Hu Weihua 
Published: August 2024

AbstractElectrochemical nitrate reduction to ammonia (NRA) is a promising sustainable way to synthesize ammonia (NH3) from nitrate (NO3−) contaminants. Cu‐based electrocatalysts are frequently utilized for NRA due to their strong NO3− adsorption and de‐oxygenation ability. However, this kind of catalyst usually possesses the weak water dissociation ability, resulting in insufficient proton supply in alkaline media to retard the following hydrogenation step of O‐containing intermediates (*NOx, typically NO2−) to target NH3. Herein, NiO‐incorporated Cu/Cu2O nanowires grown on nickel foam (p‐CuNi@NF, p refers to plasma treatment) were synthesized via hydrothermal growth and subsequent O2 plasma treatment for efficient NRA electrocatalysis. On this p‐CuNi@NF catalyst, NiO is able to accelerate the hydrogenation step by promoting the water dissociation to provide protons, ultimately facilitating efficient NRA. p‐CuNi@NF exhibits excellent NH3 selectivity and yield in a wide potential range and reaches a high Faradaic efficiency (FENH3) of 97.5 % and a yield (YNH3) of 470 μmol h−1 cm−2 at −0.6 V, both of which largely surpass the Cu/Cu2O catalyst.
An effective channel allocation designed using hybrid memory dragonfly with imperialist competitive algorithm in distributed mobile adhoc network
Authors: Rangasamy Suganya , Ramasamy Kanmani , Thangavel Rajesh Kumar 
Published: August 2024

SummaryThe channel availability problem reaches a higher degree in mobile ad hoc networks (MANETs) and garners a lot of attention in communication networks. Because increased mobile usage might result in a lack of channel allocation, an improved channel allocation technique is presented to tackle the availability problem. The distributed dynamic channel allocation (DDCA) model is built in this paper using the hybrid memory dragonfly with imperialist competitive (HMDIC) method. Based on optimization logic, this strategy assigns the channel to mobile hosts. The MANET provides a dispersed network within the coverage region in the absence of base station infrastructure. The HMDIC optimizer approach in this circumstance randomly begins every respective node to update and store their pbest value utilizing RAM dragonfly employing satellite images. The constraint values are then used to construct the cost function, which results in a strong kind of global optimum solution. The channels are therefore distributed in an effective manner. The HMDIC algorithm is used in this research to build a novel channel allocation system. It makes advantage of the exploration capabilities to successfully explore the individual node using MDA (Modified Dragonfly Algorithm) and locate the global best solution using imperialist competitive algorithm (ICA). Both of these combined tactics are more effective in accelerating the convergence of the allocation model. To validate the performance, the HMDIC‐based DDCA system provides promising results in terms of assigning available channels, thereby enhancing channel reuse efficiency and fractional interference.
Rationale and design of RESILIENCE: A prospective randomized clinical trial evaluating remote ischaemic conditioning for the prevention of anthracycline cardiotoxicity
Authors: Moreno‐Arciniegas Andrea , García Alberto , Kelm Malte , D'Amore Francesco , da Silva María Gomes , Sánchez‐González Javier , Sánchez Pedro L. , López‐Fernández Teresa , Córdoba Raul , Asteggiano Riccardo , Camus Vincent , Smink Jouke , Ferreira Antonio , Kersten Marie J. , Bolaños Natacha , Escalera Noemi , Pacella Elsa , Gómez‐Talavera Sandra , Quesada Antonio , Rosselló Xavier , Ibanez Borja ,   RESILIENCE Trial Investigators
Published: August 2024

AbstractAimsThere is a lack of therapies able to prevent anthracycline cardiotoxicity (AC). Remote ischaemic conditioning (RIC) has shown beneficial effects in preclinical models of AC.MethodsREmote iSchemic condItioning in Lymphoma PatIents REceiving ANthraCyclinEs (RESILIENCE) is a multinational, prospective, phase II, double‐blind, sham‐controlled, randomized clinical trial that evaluates the efficacy and safety of RIC in lymphoma patients receiving anthracyclines. Patients scheduled to undergo ≥5 chemotherapy cycles including anthracyclines and with ≥1 AC‐associated risk factors will be randomized to weekly RIC or sham throughout the chemotherapy period. Patients will undergo three multiparametric cardiac magnetic resonance (CMR) studies, at baseline, after the third cycle (intermediate CMR), and 2 months after the end of chemotherapy. Thereafter, patients will be followed up for clinical events over an anticipated median of ≥24 months. The primary endpoint is the absolute change from baseline in CMR‐based left ventricular ejection fraction (LVEF). The main secondary outcome is the incidence of AC events, defined as (1) a drop in CMR‐based LVEF of ≥10 absolute points, or (2) a drop in CMR‐based LVEF of ≥5 and <10 absolute points to a value <50%. Intermediate CMR will test the ability of T2 mapping to predict AC versus classical markers (left ventricular strain and cardiac injury biomarkers). A novel CMR sequence allowing ultrafast cine acquisition will be validated in this vulnerable population.ConclusionsThe RESILIENCE trial will test RIC (a novel non‐invasive intervention to prevent AC) in a cohort of high‐risk patients. The trial will also test candidate markers for their capacity to predict AC and will validate a novel CMR sequence reducing acquisition time in a vulnerable population.