bluuebunny/crossref_metadata_2025_split huggingface dataset:
Driving eco‐friendly product purchases through social media: How does peer influence work?
Authors: Chen Chiyin , Li Zhen , Yang Shuai , Cao Dongmei 
Published: September 2024

AbstractSocial media platforms expose individuals to both peer and marketer influences. While these influences have garnered significant research attention regarding their impact on consumer behaviors, the findings have been a subject of debate. This research examines how peer influence from user‐generated content (UGC) differs from marketer influence from marketer‐generated content (MGC) in its effect on consumers' eco‐friendly product (EFP) purchases and how peer influence takes place. Study 1 uses online field data from an e‐commerce company and suggests that peer influence is associated with more sales, whereas there is no empirical evidence to support a similar effect for marketer influence. Utilizing online survey data collected from social media users, Study 2 further reveals that informational and normative peer influences significantly increase consumers' purchase intention via environmental self‐efficacy and positive moral emotion. Notably, tie strength with the influencing peer plays a crucial role in moderating the relationship between different peer influences, the mediators, and the mediation paths. Our research advances knowledge of peer influence on EFP consumer behaviors, extends the UGC literature through the lens of peer influence and tie strength, and offers practical implications for social media marketers and policymakers promoting eco‐friendly products.
In Silico and In Vivo Evaluation of Anti‐Arthritic Effects of Bakuchiol from Psoralea corylifolia Seeds in Experimental Rat Model
Authors: Saini Kamal , Chauhan Samrat , Dar Mohammad Ovais , Gupta Sumeet , Singh Inder Pal , Rawal Ravindra K. , Gupta Nidhi 
Published: September 2024

AbstractRheumatoid arthritis is an autoimmune disease mainly affecting the joints categorized by inflammation, swelling of the synovium and decrease in the joint movement. Bakuchiol, a meroterpene class of natural product present in Psoralea corylifolia known to possess anti‐inflammatory effects by a variety of mechanisms. However, its effects in rheumatoid arthritis still remain unclear. In the present investigation, we studied the anti‐arthritic effects of bakuchiol via in silico and in vivo experiments. It also showed antioxidant effects measured using DPPH assay where it showed free radical scavenging activity with IC50 value 468.26 μg/ml. Molecular Docking studies carried out on COX‐1 (PDB ID: 3 N8Z), COX‐2 (PDB ID: 4PH9) and TNF‐α (PDB ID: 7JRA), proteins involved in inflammation in arthritis. Bakuchiol showed the maximum binding affinity for TNF‐α with binding affinity score is −7.29 kcal/moland less affinity was observed for COX‐1 and 2. In vivo antiarthritic effects were studied in arthritic female wistar rats model prepared by intradermal injection of freund's complete adjuvant. Bakuchiol was administered orally at dose of 10,20 and 40 mg/kg for 21 days. Our treatment showed that bakuchiol at 20 and 40 mg/kg exhibited significant anti‐inflammatory effects (p<0.001) showed by significant decrease in paw volume, paw diameter, spleen and thymus weight and increase in pain threshold and body weight in arthritic rat model. A significant decrease in hematological parameters such as total leukocyte count (TLC), platelet count, CRP and rheumatoid arthritis factor (RF) and increase in red blood cells count, ESR and hemoglobin further demonstrated that bakuchiol treatment suppresses the progression of adjuvant induced arthritis (AIA) in arthritic rat model. Histological analysis further revealed that bakuchiol ameliorates the pathological manifestations of AIA and reverse the abnormality induced by AIA in rats shown by protection against bone necrosis involved with low influx of inflammatory cells. Therefore, in silico and in vivo results revealed that bakuchiol has the potential to be developed as potent antiarthritic agent.
Design, Synthesis, Antibacterial, and Antifungal Evaluation of a New Series of Quinazoline – Thiazole and/or Quinazoline – Triazole Hybrids as Bioactive Heterocycles
Authors: El‐Shahat Mahmoud , Tawfek Nashwa , El‐Sofany Walaa I. 
Published: September 2024

AbstractHerein, a one‐pot reaction between cyclohexanone, thiourea, and 2,5‐dimethoxybenzaldehyde allowed to prepare hexahydroquinazoline‐2(1H)‐thione4 firstly, which followed by reacting with hydrazine hydrate to produce the corresponding 2‐hydrazinylhexahydroquinazoline 6. Interesting analogs of thiazolo[3,2‐a]quinazoline 713 where obtained when hexahydroquinazoline‐2(1H)‐thione 4 reacted with 1,2‐dibromoethane, chloroacetyl chloride, bromoacetic acid, bromoacetic acid/4‐chlorobenzaldehyde, 2‐bromopropionic acid, ethyl bromo cyanoacetate, and/or bromomalononitrile; respectively. While triazolo[4,3‐a] quinazoline 14–16 were created when 2‐hydrazinylhexahydroquinazoline 6 reacted with triethyl orthoformate, acetic anhydride, and carbon disulfide respectively. Numerous spectroscopy tests, including FT‐IR, NMR (1H &13 C), and MS spectrum, proved all the newly produced analogs. Additionally, the new analogs were examined for their antibacterial and antifungal properties against Escherichia coli, Staphylococcus aureus, and Candida albicans. It was discovered that triazolo[4,3‐a] quinazoline analogs 14–16 have superior bacterial and fungal activity when compared to the corresponding conventional doses of Streptomycin andGriseofulvin. Towards Candida albicans; compounds 14, 15, and 16 increase activity with 1.14 %, 1.15 %, and 1.21 %, respectively more than griseofulvin.While, for Staphylococcus aureus; compounds 14, 15, and 16 increase activity with 1.5 %, 1.5 %, and 1.7 %, respectively more than streptomycin. Morever, for Escherichia coli; compounds 14, 15, and 16 increase activity with 1.19 %, 1.21 %, and 1.22 %, respectively more than streptomycin. Finally, structure activity relationships show that quinazoline derivatives exhibit higher activity when fused to pyrazole ring 14–16 as compared when fused thiophene ring 7–13.
What Can Really Be Considered a Syndrome? An Insight Based on 16p11.2 Microduplication
Authors: Mergener Rafaella , Nascimento Lívia Polisseni Cotta , Böttcher Ana Kalise , Nunes Marcela Rodrigues , Zen Paulo Ricardo Gazzola 
Published: September 2024

ABSTRACTWhat is the definition of Syndrome? Since the beginning of studies in genetics, certain terminologies have been created and used to define groups of diseases or alterations. With the advancement of knowledge and the emergence of new technologies, the use of basic concepts is being done in a mistaken or often confusing way. Because of this, revisiting and readjusting the old terms becomes imminent. Here, we explore these concepts and their use, through a literature compilation of an already well‐defined genetic alteration (16q11.2 microduplication). We bring comparisons in clinical and molecular scope of the alteration itself and its diagnostic methods, to improve the report of cases, rescuing terminologies and their applicability nowadays.
Targeting SARS‐CoV‐2 Proteins: In Silico Investigation with Polypyridyl‐Based Zn(II)‐Curcumin Complexes
Authors: Gawande Vedant , Kushwaha Rajesh , Mandal Arif Ali , Banerjee Samya 
Published: September 2024

AbstractHerein, we have selected eight Zn(II)‐based complexes viz., [Zn(bpy)(acac)Cl] (1), [Zn(phen)(acac)Cl] (2), [Zn(dppz)(acac)Cl] (3), [Zn(dppn)(acac)Cl] (4), [Zn(bpy)(cur)Cl] (5), [Zn(phen)(cur)Cl] (6), [Zn(dppz)(cur)Cl] (7), [Zn(dppn)(cur)Cl] (8), where bpy=2,2′‐bipyridine, phen=1,10‐phenanthroline, dppz=benzo[i]dipyrido[3,2‐a:2′,3′‐c]phenazine, dppn=naphtho[2,3‐i]dipyrido[3,2‐a:2′,3′‐c]phenazine, acac=acetylacetonate, cur=curcumin and performed in silico molecular docking studies with the viral proteins, i. e., spike protein (S), Angiotensin‐converting enzyme II Receptor protein (ACE2), nucleocapsid protein (N), main protease protein (Mpro), and RNA‐dependent RNA polymerase protein (RdRp) of SARS‐CoV‐2. The binding energy calculations, visualization of the docking orientation, and analysis of the interactions revealed that these complexes could be potential inhibitors of the viral proteins. Among complexes 1–8, complex 6 showed the strongest binding affinity with S and ACE2 proteins. 4 exerted better binding affinity in the case of the N protein, whereas 8 presented the highest binding affinities with Mpro and RdRp among all the complexes. Overall, the study indicated that Zn(II) complexes have the potential as alternative and viable therapeutic solutions for COVID‐19.
Recent Advances of In Situ Insights into CO2 Reduction toward Fuels
Authors: Chen Liang , Zhang Chengbin , Jiao Xingchen 
Published: September 2024

AbstractThe conversion of CO2 into valuable chemical fuels addresses both environmental pollution and energy scarcity. However, understanding reaction mechanisms and the dynamic catalyst evolution during CO2 reduction remains a challenge to data. In this review, we present a detailed description of recent advanced in situ characterization techniques, which provide a reliable means of monitoring the intermediate evolution during CO2 reduction and the dynamic evolution of the catalyst, respectively. Finally, we provide an outlook on the development of in situ characterization techniques.
Selective Synthesis of 3D Aligned VO2 and V2O5 Carbon Nanotube Hybrid Materials by Chemical Vapor Deposition
Authors: Dönges Inga , Yadav Sandeep , Trouillet Vanessa , Schneider Jörg J. 
Published: September 2024

Abstract3D carbon nanotube hybrid materials containing VO2 and V2O5 evenly distributed onto vertically aligned carbon nanotubes (VACNTs) is reported. Adjustable loading of particles in controllable sizes and shapes onto the VACNTs was developed via a stepwise chemical vapour deposition (CVD) approach. Solid VO(acac)2 is chosen as vanadium source. CO2 acts as reactive gas for the pre‐functionalisation of the VACNTs. The process temperature was identified as key parameter to control the deposited vanadium oxide phase. A temperature of 550 °C results in monoclinic VO2, while 600 °C results in the deposition of V2O5 onto the VACNT support. The morphology and the amount of deposited material was found to be dependent on the reactor dimensions and the degree of functionalisation of the carbon support. An increase of the D/G ratio of the VACNT from 0.75 to 1.08 caused by a CO2 treatment step within the process led to an increase of the particle coverage from a scarce coverage without prior CO2 treatment to a dense coverage of the VACNT support after 15 min of CO2 exposure time. Size and crystallinity of the as deposited particles can be further adjusted by a controlled heat treatment after VO(acac)2 precursor deposition.
Is There a Need for Sex‐Tailored Lipoprotein(a) Cut‐Off Values for Coronary Artery Disease Risk Stratification?
Authors: Yurtseven Ece , Ural Dilek , Gursoy Erol , Cunedioglu Bekay Omer , Guler Orhan Ulas , Baysal Kemal , Aytekin Saide , Aytekin Vedat , Kayikcioglu Meral 
Published: September 2024

ABSTRACTBackgroundLipoprotein(a) [Lp(a)] plasma level is a well‐known risk factor for coronary artery disease (CAD). Existing data regarding the influence of sex on the Lp(a)‐CAD relationship are inconsistent.ObjectiveTo investigate the relationship between Lp(a) and CAD in men and women and to elucidate any sex‐specific differences that may exist.MethodsData of patients with Lp(a) measurements who were admitted to a tertiary university hospital, Koc University Hospital, were analyzed. The relationship between Lp(a) levels and CAD was explored in all patients and in subgroups created by sex. Two commonly accepted Lp(a) thresholds ≥ 30 and ≥ 50 mg/dL were analyzed.ResultsA total of 1858 patients (mean age 54 ± 17 years; 53.33% females) were included in the analysis. Lp(a) was an independent predictor of CAD according to the multivariate regression model for the entire cohort. In all cohort, both cut‐off values (≥ 30 and ≥ 50 mg/dL) were detected as independent predictors of CAD (p < 0.001). In sex‐specific analysis, an Lp(a) ≥ 30 mg/dL was an independent predictor of CAD only in women (p < 0.001), but Lp(a) ≥ 50 mg/dL was a CAD predictor both in men and women (men, p = 0.004; women, p = 0.047).ConclusionThe findings of this study may suggest that different thresholds of Lp(a) level can be employed for risk stratification in women compared to men.
Risk scores predicting disease progression in early‐stage chronic lymphocytic leukemia: Comparative analysis and usefulness of IGHV subset #2 to improve their accuracy
Authors: Arguello‐Tomas Miguel , Mozas Pablo , Albiol Nil , López‐Esteban Miguel , Sierra Jorge , Nomdedéu Josep , Martinez‐Laperche Carolina , Moga Esther , Piñeyroa Juan A. , Delgado Julio , Osorio Santiago , Moreno Carol 
Published: September 2024

AbstractBackgroundOverall, the prognosis of patients with chronic lymphocytic leukemia (CLL) in the early phase of the disease (Rai 0, Binet A) is favorable; some patients never require therapy. However, some patients require intervention shortly after diagnosis. In the past decade, several risk scores (RS) have been developed to predict disease progression, yet some patients are misclassified. On the other hand, IGHV subset 2 (IGHV2) predicts poor outcomes.MethodsA retrospective and multicentric study was conducted to compare the accuracy of five different RS (IPS‐E, CR0, AIPS‐E, CLL‐IPI, and Barcelona‐Brno) to predict disease progression in 781 stage A previously untreated patients with CLL. As an exploratory analysis, it was further investigated whether the inclusion of the IGHV2 as a poor prognostic parameter improved the accuracy of RS.ResultsAll the scores identified a similar group of patients with CLL in early stage with low‐, intermediate‐, and high‐risk progression. Discrimination was high and similar in all RS (c‐index = 0.74–0.79, area under the curve = 0.7–0.75), as well as calibration (p = .98) and parsimony, although CLL‐IPI showed the best results (Akaike information criterion = 441). A total of 34.4% of patients were categorized within the same RS and concordance was at least moderate between RS.ConclusionMoreover, the results suggest that IGHV2 may improve the accuracy of RS.
In‐Situ and Green Synthesis of Silk Fibroin‐Silver Nanoparticles Composite Microfibers for Enhanced Antibacterial Applications
Authors: Zhang Rui , Luo Dandan , Jaber Mohammad , Zhang Han , Kong Xiangdong 
Published: September 2024

AbstractThe antibacterial properties of modified silk fibroin microfibers (SF MFs) have been widely studied. Among various modifications, integration of silver nanoparticles (Ag NPs) and SF MFs has garnered significant attention due to the broad‐spectrum antibacterial activities and long‐term antibacterial effect of Ag nanomaterials. However, the traditional introduction of reducing agents or other additives during the synthesis of Ag‐SF composite MFs potentially affects their structure and antibacterial properties. Facile, green and effective methods for the preparation of Ag‐SF MFs with enhanced antibacterial properties are therefore highly desired. In this study, Ag NPs were uniformly in‐situ deposited onto the optimized SF MFs by adjusting the pH and duration conditions under the guidance of green chemistry. The loaded Ag NPs have a good dispersibility and an average size of ~10 nm. The stability of SF MFs after the deposition of Ag NPs and the crystalline features of the loaded Ag NPs have been carefully investigated. Moreover, antibacterial experiments confirmed that Ag‐SF MFs exhibited superior antibacterial activities. After co‐incubating Ag‐SF MFs with L929 cells, the cell viability reached 90 %, demonstrating the great biocompatibility of the modified fibers. This green in‐situ synthetic method will promote the further medical use of Ag‐SF MFs in antibacterial fields.
An Efficient Fluorescence‐Activated Protoplast Sorting (FAPS) and Regeneration Protocol for Canola (Brassica napus)
Authors: Sahab Sareena , Hayden Matthew J , Mason John , Spangenberg German 
Published: September 2024

AbstractProtoplast sorting and purification methods are powerful tools enabling the enrichment of cellular subpopulations for basic and applied studies in plant sciences. Fluorescence‐activated protoplast sorting (FAPS) is an efficient method to isolate specific protoplast populations based on innate features (size and autofluorescence) or expression of fluorescent proteins. FAPS‐based methods have recently been deployed in single‐cell purification for single‐cell RNA sequencing–based transcriptional profiling studies. Protoplast sorting methods integrated with the ability to culture and recover whole plants add value to functional genomics and gene editing applications. Enriching cells expressing nucleases linked to fluorescent proteins can maximize knockout or knockin editing efficiencies and minimize toxic and off‐target effects. Here, we report the protocol for protoplast preparation, sterile cell sorting, culture, and downstream regeneration of plants from canola protoplasts. This protocol can be successfully applied to all totipotent protoplast methods that can regenerate into whole plants. © 2024 Wiley Periodicals LLC.Basic Protocol 1: Preparation of transfected canola protoplasts for sortingBasic Protocol 2: Fluorescence‐activated protoplast sortingBasic Protocol 3: Bead culture of sorted protoplasts and recovery of plantlets
Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials
Authors: Carroll Matthew E. , Riera Luis G. , Miller Bradley A. , Dixon Philip M. , Ganapathysubramanian Baskar , Sarkar Soumik , Singh Asheesh K. 
Published: September 2024

AbstractSpatial adjustments are used to improve the estimate of plot seed yield across crops and geographies. Moving means (MM) and P‐Spline are examples of spatial adjustment methods used in plant breeding trials to deal with field heterogeneity. Within the trial, spatial variability primarily comes from soil feature gradients, such as nutrients, but a study of the importance of various soil factors including nutrients is lacking. We analyzed plant breeding progeny row (PR) and preliminary yield trial (PYT) data of a public soybean breeding program across 3 years consisting of 43,545 plots. We compared several spatial adjustment methods: unadjusted (as a control), MM adjustment, P‐spline adjustment, and a machine learning‐based method called XGBoost. XGBoost modeled soil features at: (a) the local field scale for each generation and per year, and (b) all inclusive field scale spanning all generations and years. We report the usefulness of spatial adjustments at both PR and PYT stages of field testing and additionally provide ways to utilize interpretability insights of soil features in spatial adjustments. Our work shows that using soil features for spatial adjustments increased the relative efficiency by 81%, reduced the similarity of selection by 30%, and reduced the Moran's I from 0.13 to 0.01 on average across all experiments. These results empower breeders to further refine selection criteria to make more accurate selections and select for macro‐ and micro‐nutrients stress tolerance.
Unveiling the moderating role of governance mechanism on the nexus between CSR and firm performance in India: A GMM‐based dynamic panel approach
Authors: Mondal Subhas , Sahu Tarak Nath 
Published: September 2024

AbstractThis study aims to explore the nexus between corporate social responsibility (CSR) and firm performance (FP); and the moderating role of governance mechanisms on the CSR‐FP nexus. This study investigates the aforementioned nexus, based on the sample of 257 Indian non‐financial companies listed on the National Stock Exchange (NSE) 500 index, for the period 2009–10 to 2022–23. GMM‐based dynamic panel estimation technique is applied to explore the relationship. The study reveals a positive nexus between CSR and FP, and a strong positive moderating impact of board size (BS), board independence (BID), and board gender diversity (BGD) on CSR‐FP nexus. However, the study shows an inverse moderating role of ownership concentration (OC) on the CSR‐FP nexus. The study provides a brief understanding of the CSR‐FP nexus and recommends the implementation of stronger governance mechanisms for the corporations of developing nations. This initiative may increase CSR, and generate economic advantage for the firms and the whole society.
Boron Surface Treatment of Li7La3Zr2O12 Enabling Solid Composite Electrolytes for Li‐Metal Battery Applications
Authors: Cuevas Ignacio , Elbouazzaoui Kenza , Valvo Mario , Mindemark Jonas , Brandell Daniel , Edström Kristina 
Published: September 2024

AbstractDespite being promoted as a superior Li‐ion conductor, lithium lanthanum zirconium oxide (LLZO) still suffers from a number of shortcomings when employed as an active ceramic filler in composite polymer–ceramic solid electrolytes for rechargeable all‐solid‐state lithium metal batteries. One of the main limitations is the detrimental presence of Li2CO3 on the surface of LLZO particles, restricting Li‐ion transport at the polymer–ceramic interfaces. In this work, a facile way to improve this interface is presented, by purposely engineering the LLZO particle surfaces for a better compatibility with a PEO:LiTFSI solid polymer electrolyte matrix. It is shown that a surface treatment based on immersing LLZO particles in a boric acid solution can improve the LLZO surface chemistry, resulting in an enhancement in the ionic conductivity and cation transference number of the CPE with 20 wt % of boron‐treated LLZO particles compared to the analogous CPE with non‐treated LLZO. Ultimately, an improved cycling performance and stability in Li//LiFePO4 cells was also demonstrated for the modified material.
Electrochemical Nucleation and Growth Mechanism of Metals
Authors: Ait Layachi Omar , Moujib Asmaa , Khoumri El mati 
Published: September 2024

AbstractThis review provides a detailed analysis of the current transition observed in the field of electrodeposition of metals. Special emphasis is placed on the mechanism initiated by nucleation followed by diffusion‐controlled growth. The study highlights recent advances, relevant theoretical models, and practical implications of this process. Concrete examples are also discussed to illustrate the application of this method in various industrial and scientific contexts. These promising advances open new perspectives for the optimization of electrodeposition processes, paving the way for innovative applications in various technological sectors.