bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photoelectrochemical Synthesis of Adipic Acid by Selective Oxidation of Cyclohexanone
Authors: Zhang Shanshan , Luo Lan , Yang Jiangrong , Chen Wangsong , Miao Yucong , Zhang Ruikang , Li Zhenhua , Li Rengui , Shao Mingfei , Duan Xue 
Published: January 2025

AbstractAdipic acid, an essential building stock for polymers, is conventionally synthesized through thermal oxidation of ketone−alcohol oil. However, this process requires excessive nitric acid as oxidants, causing the emission of ozone−depleting greenhouse gas nitrous oxide. Herein, a photoelectrochemical (PEC) strategy is reported for the efficient synthesize adipic acid by selective oxidation of cyclohexanone (CYC). High adipic acid selectivity (>90%) in a wide potential window (from 0.3 to 1.3 V versus RHE) is achieved under ambient conditions based on TiO2 nanorods array photoanode modified with nickel hydroxide nanosheets (Ni(OH)2/TiO2). Experimental and theoretical data reveal that a new Ni2+δ─OH* reactive center with moderate oxidation capacity is in situ generated on Ni(OH)2/TiO2 photoanode under illumination, which abstracts H atoms from Cα─H bonds in CYC to obtain 2−hydroxycyclohexanone intermediate, and thereby facilitates subsequent C─C cleavage to produce adipic acid. Moreover, the PEC synthesis of adipic acid from industrial raw material of phenol is achieved by coupling cathodic phenol reduction to CYC and photoanodic CYC oxidation to adipic acid, demonstrating a new and sustainable approach for adipic acid synthesis by directly using solar energy.
A Recombinant Antibody Against ALK2 Promotes Tissue Iron Redistribution and Contributes to Anemia Resolution in a Mouse Model of Anemia of Inflammation
Authors: Wang Chia‐Yu , Melgar‐Bermudez Emiliano , Welch Diana , Dagbay Kevin B. , Bhattacharya Seemana , Lema Evan , Daman Tyler , Sierra Olivia , Todorova Radina , Drame Papa Makhtar , Grenha Rosa , Fisher Ffolliott M. , Grayson Dena , Lerner Lorena , Cadena Samuel M. , Seehra Jasbir , Lachey Jennifer 
Published: January 2025

ABSTRACTPatients with chronic inflammation are burdened with anemia of inflammation (AI), where inflammatory cytokines inhibit erythropoiesis, impede erythropoietin production, and limit iron availability by inducing the iron regulator hepcidin. High hepcidin hinders iron absorption and recycling, thereby worsening the impaired erythropoiesis by restricting iron availability. AI management is important as anemia impacts quality of life and potentially affects morbidity and mortality. The bone morphogenetic protein (BMP)‐SMAD pathway is crucial for hepcidin regulation. Here, we characterized a research antibody against BMP receptor ALK2, RKER‐216, and investigated its mechanism in suppressing hepcidin and improving anemia in acute/chronic inflammation. Additive effects of RKER‐216 and recombinant human erythropoietin (rhEPO) on erythropoiesis and iron utilization were also explored. We showed that RKER‐216 neutralized ALK2 activity by competing with the binding of BMP6. RKER‐216 reduced hepcidin transcription in Hep3B cells, and a subcutaneous dose of RKER‐216 at 3 mg/kg suppressed serum hepcidin and increased circulating iron for 3–4 days in wildtype mice. Moreover, RKER‐216 decreased hepcidin by inhibiting SMAD1/5/9 signaling in lipopolysaccharide‐mediated inflammation and liberated iron from the recycling pathway to alleviate anemia in mice with adenine‐induced chronic kidney disease (CKD), a mouse model of AI. Finally, RKER‐216 reversed iron‐restricted erythropoiesis in CKD mice and supplied the iron requirement for complete resolution of anemia when coupled with rhEPO in addressing AI. Our data support that ALK2 is a key hepcidin regulator and that a neutralizing ALK2 antibody has the potential to restore iron homeostasis as monotherapy or in combination with rhEPO to ameliorate AI.
Neuropsychological test performance in mild cognitive impairment with Lewy bodies: A systematic review and meta‐analysis
Authors: Wyman‐Chick Kathryn A. , Bayram Ece , Gravett Stephanie , D'Antonio Fabrizia , Rodriguez‐Porcel Federico , Kane Joseph P. M. , Ferman Tanis J. , Olson‐Bullis Barbara A. , Boeve Bradley F. , Bonanni Laura , Ferreira Daniel ,   the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART) Lewy Body Dementias Professional Interest Area (LBD PIA) Prodromal Working Group
Published: January 2025

AbstractBACKGROUNDWe sought to characterize the cognitive profile among individuals with mild cognitive impairment with Lewy bodies (MCI‐LB) to help guide future clinical criteria.METHODSSystematic review and meta‐analysis included MCI‐LB studies with cognitive data from PubMed, Embase, Web of Science, and PsycINFO (January 1990 to March 2023). MCI‐LB scores were compared to controls, MCI due to Alzheimer's disease (MCI‐AD), and dementia with Lewy bodies (DLB) groups with random‐effects models.RESULTSWe included 26 studies and 2823 participants. Across all domains, the MCI‐LB group performed worse than controls and better than DLB. Compared to MCI‐AD, the MCI‐LB group performed worse in attention/processing speed (g = –0.24, 95% confidence interval [CI]: –0.35, –0.12), attention/executive (g = –0.42, 95% CI: –0.56, –0.28); better in verbal immediate recall (g = 0.37; 95% CI: 0.15, 0.59) and delayed memory (g = 0.40; 95% CI: 0.22, 0.58).DISCUSSIONThe cognitive profiles in MCI‐LB and MCI‐AD are consistent with established profiles in DLB and AD. Neuropsychological assessment may be helpful in differential diagnosis, even in early disease states.Highlights
We performed a systematic review and meta‐analysis for cognition in mild cognitive impairment with Lewy bodies (MCI‐LB).
Compared to MCI due to Alzheimer's disease (MCI‐AD), MCI‐LB had worse attention, executive function, and processing speed.
Compared to MCI‐AD, MCI‐LB had better verbal immediate and delayed recall.
The MCI‐LB group was worse on all cognitive domains than controls, and better than dementia with Lewy bodies.
Studies used different tests and there is a need for global efforts for harmonization.
Regio‐ and Enantioselective Rhodium‐Catalyzed Allylic Arylation of Racemic Allylic Carbonates with Arylboronic Acids
Authors: Wang Hu‐Chong , Shen Wen‐Jie , You Shu‐Li 
Published: January 2025

AbstractRhodium‐catalyzed regio‐ and enantioselective allylic arylation of racemic alkyl‐ and aryl‐ substituted allylic carbonates with arylboronic acids using commercially available BIBOP ligand is reported. This reaction proceeds at room temperature without base or other additive to deliver allylic arylation products in excellent yields, regio‐ and enantioselectivity (up to 95 % yield, >20 : 1 b/l, >99 % ee). Rh/BIBOP is disclosed as an efficient catalytic system for allylic substitution reaction.
Anthracene‐Based Schiff Base Allied Triazolyl Silatranes: A Comparison of Stability and Biological Activity With Open Analog Silane
Authors: Singh Gurjaspreet , Pawan  , Selvaraj Manickam , Kaur Harshbir , Mohan Brij , Kaur Amarjit , Sanchita  
Published: January 2025

ABSTRACTIn this article, we have synthesized a series of anthracene‐based triazolyl silatranes (ABSiT 1–7) using their open analogs, that is, anthracene‐based triazolyl tri‐ethoxysilanes via transesterification reaction. All synthesized compounds have been characterized using FTIR, NMR (1H and 13C), DFT techniques, and TGA/DSC analysis to identify the stability and melting temperatures. The prepared silatranes were subsequently subjected to hydrolysis to compare their stability with their open‐chain counterparts and explore their behavior under hydrolytic conditions. The data demonstrate that silatranes are about three times less prone to attack by water than organo‐triethoxysilane and are hydrolytically more stable. Moreover, the thermal stability and pH stability were checked, and it was found that silatranes are stable up to a temperature range of 400°C and at pH 9.4, thus indicating that silatranes are more stable than their corresponding silanes at higher temperatures and large pH range. Moreover, all synthesized silatranes were tested for antioxidant and cytotoxicity activities, and the results disclosed their efficacy. A molecular docking study showed interactions of silatranes with Mutant p53 antitumor protein with binding affinity in the range −8.0 to −9.0 kcal/mol and identified as potent inhibitors.
Preparation and Performance Evaluation of Nucleobase‐Mediated Hydrogels Based on Hybrid Crosslinking
Authors: Wang Qihai , Luo Zhifeng , Ren Xiaoli , Fu Haoran , Zhou Quan , Chen Keyou , Fang Shenwen 
Published: January 2025

ABSTRACTAdhesive hydrogels frequently demonstrate poor mechanical properties; therefore, it is still challenging to integrate excellent adhesiveness and self‐healing properties in one hydrogel. In this work, adenine and thymine were modified by grafting double bonds and then introduced into the structure of the polyacrylamide gel together with N, N′‐methylene bisacrylamide (MBA) using a hybrid crosslinking strategy, and then a series of hybrid cross‐linked hydrogels with adhesiveness and self‐healing properties were successfully prepared. The hybrid crosslinking hydrogel exhibited a tunable adhesive performance and strength, by varying the content of base pairs, monomer concentration, cross‐linker concentration, and initiator concentration. The recommended synthesis conditions for the P(AM‐mAT) hydrogel were as follows: mA‐mT concentration of the total monomer weight 5 wt%, total monomer concentration of 25 wt%, crosslinker (MBA) concentration of 0.5 wt%, and initiator APS concentration of 1.25 wt%. Under optimal conditions, the gel synthesized showed a hardness of 282 g and an adhesive force of 154.5 g. This hydrogel material exhibited excellent adhesion properties to materials such as plastics, glass, metals, and wood, with the best adhesion observed on glass.
Unique Research for Developing a Full Factorial Design Evaluated Liquid Chromatography Technique for Estimating Budesonide and Formoterol Fumarate Dihydrate in the Presence of Specified and Degradation Impurities in Dry Powder Inhalation
Authors: Bandaru Lova Gani Raju , Konduru Naresh , Kowtharapu Leela Prasad , Gundla Rambabu , Kanuparthy Phani Raja , Katari Naresh Kumar 
Published: January 2025

ABSTRACTA simple LC method has been developed and validated for estimating budesonide (epimer B + A) and formoterol fumarate dihydrate in dry powder inhalation. The development results of this study make it very significant. The degradation and process impurities in EP and ChP were identified in addition to budesonide and formoterol fumarate. As of yet, no one has reported all impurities using a single method. It is a unique research because it analyzes APSD (Aerodynamic Particle Size Distribution), DDU (Delivered Dose Uniformity), BU (Blend Uniformity), Assay, and cleaning test samples. It enhances the quality of medicine and separates all organic impurities and isomers through a suitable stationary phase (YMC‐Pack Pro C18, 150 × 4.6 mm × 3 μm). We optimized the chromatographic conditions: Injection volume was 20 μL, and flow rate was 1.0 mL/min. The wavelength was optimized at 220 nm. After experimental and validation results. An example is A, which contains sodium dihydrogen orthophosphate monohydrate, sodium 1‐decane sulfonate, adjusted pH 3.0, and acetonitrile at a ratio of 80:20 (v/v), and B, which contains pH 3.0 buffer and acetonitrile at a ratio of 20:80 (v/v) respectively. In addition to being optimized, the test method was validated according to ICH Q2(R2).
Brain‐Derived Neurotrophic Factor (BDNF) as a Potential Biomarker in Brain Glioma: A Systematic Review and Meta‐Analysis
Authors: Hasani Fatemeh , Masrour Mahdi , Khamaki Sina , Jazi Kimia , Ghoodjani Erfan , Teixeira Antonio L. 
Published: January 2025

ABSTRACTBackgroundThis systematic review and meta‐analysis evaluates peripheral and CNS BDNF levels in glioma patients.MethodsFollowing PRISMA guidelines, we systematically searched databases for studies measuring BDNF in glioma patients and controls. After screening and data extraction, we conducted quality assessment, meta‐analysis, and meta‐regression.ResultsEight studies were included. Meta‐analysis showed significantly reduced plasma BDNF levels in glioma patients versus controls (SMD: −1.0026; 95% CI: [−1.5284, −0.4769], p = 0.0002). High‐grade gliomas had lower plasma BDNF (p = 0.0288). Tissue BDNF levels were higher in glioma patients (SMD: 1.9513; 95% CI: [0.7365, 3.1661], p = 0.0016) and correlated with tumor grade (p = 0.0122). Plasma BDNF levels negatively correlated with patient age (p = 0.0244) and positively with female percentage (p = 0.0007).ConclusionBDNF is a promising biomarker in glioma, showing significant changes in plasma and tissue levels correlating with tumor grade, patient age, and gender.
AI‐Enabled Governance in Traditional Chinese Medicine Enterprise Clusters: A Lifecycle and Stakeholder Perspective for Sustainable Development
Authors: Liu Ying , Ho Theresa C. F. , Omar Rosmini , Ning Binyao 
Published: January 2025

ABSTRACTArtificial Intelligence (AI) has emerged as a transformative tool for enhancing governance in enterprise clusters, improving competitiveness, and advancing sustainable development goals (SDGs). Despite its potential, the effective application of AI‐enabled governance in Traditional Chinese Medicine (TCM) enterprise clusters remains underexplored, particularly given the unique challenges posed by their traditional practices, regulatory frameworks, and diverse stakeholder dynamics. Addressing this gap, this study investigates how AI‐enabled governance can optimize the integration of external enterprises into TCM enterprise clusters across different stages of the lifecycle, thereby contributing to sustainable regional development. This study employs a lifecycle model to analyze the integration of external enterprises into TCM clusters, focusing on factors such as unit product costs, policy incentives, and joint action benefits. By comparing cost dynamics before and after cluster entry, this research maps the lifecycle processes of external enterprises and identifies AI‐enabled governance tailored to the adaptation, maturity, and decline stages. The findings reveal that proactive and adaptive AI‐enabled governance enhances sustainability by reducing costs, improving efficiency, and fostering collaboration among stakeholders. This study provides a dynamic perspective on cluster integration, extending the theoretical framework of organizational research. It offers policymakers and cluster managers actionable insights for leveraging AI‐enabled governance to achieve sustainable regional development, foster innovation (SDG 9), promote economic growth (SDG 8).
Extramedullary Plasmacytoma of the Oral Cavity: A Rare Case in the Buccal Mucosa
Authors: Khaleghi Armin , Shamloo Nafise 
Published: January 2025

ABSTRACTExtramedullary plasmacytomas (EMP) are uncommon solitary tumors composed of neoplastic plasma cells occurring outside the bone. These lesions are of clinical significance due to their potential progression to multiple myeloma (MM), a more systemic and serious plasma cell malignancy. Although EMPs primarily arise in the head and neck region, cases involving the oral cavity are particularly rare. This report presents a case of EMP in a 59‐year‐old Iranian female, who developed a mass on the left buccal mucosa, an atypical site for this type of lesion. The patient presented with a 1‐month history of a painful swelling on her left buccal mucosa. Clinical examination revealed a firm, exophytic lesion with a smooth surface. Histopathological analysis, supported by immunohistochemical staining, confirmed the diagnosis of EMP. The lesion was treated successfully through a combination of surgical excision and radiotherapy at a dose of 40 Gy. This case underscores the importance of early diagnosis and treatment of EMP, particularly in rare locations, to prevent progression to MM and improve patient outcomes. Our findings contribute to the limited body of literature on EMPs in the oral cavity, highlighting the need for awareness of such presentations among clinicians.
Lattice Engineering Triggered Phase Formation of Bimetallic Thiospinels with Excellent HzOR and OER Activity for Energy‐Efficient Hydrogen Production
Authors: Raveendran Diya , Mishra Viplove , Praveen Athma E. , Roy Avishek , Basak Ananda , Chandrasekar Aditi , Mahalingam Venkataramanan 
Published: January 2025

AbstractIntroducing foreign elements into a crystal lattice could trigger phase transformation, serving as an excellent means to fabricate highly electrocatalytic phases. NiCo2S4 is a notably electrocatalytic thiospinel phase, normally synthesized via a two‐step route and rarely explored for electrocatalytic hydrazine oxidation reaction (HzOR). This work reports one‐step hydrothermal synthesis of NiCo2S4 and CuCo2S4 and their performance for HzOR and oxygen evolution reaction (OER). Time dependent syntheses suggest formation of (M, Co)9S8; M═Ni/Cu phase, followed by conversion to the respective thiospinel phase. Computational study validates that the incorporation of Ni into Co9S8 disrupts its stability and induces the formation of a stable bimetallic thiospinel phase. Even without the assistance of metal foam substrate, NiCo2S4 displayed remarkable activity for HzOR requiring potentials of 153 and 350 mV to afford current densities of 10 and 500 mA/cm2, respectively. Furthermore, NiCo2S4 showed good activity for OER, providing 10 mA/cm2 at 290 mV. For hydrazine‐assisted H2 production, the two‐electrode setup, NiCo2S4||Pt/C attained a current density of 10 mA/cm2 at 140 mV, which is 1.39 V less than that required for conventional water electrolyzer (1.53 V). Long‐term durability of NiCo2S4 for both HzOR and OER at high current densities highlights the suitability of the catalyst for practical applications.
An Efficient Strategy for Quinazolinone and Benzimidazole Synthesis Using Microwave‐Assisted Copper‐Catalyzed Aerobic Oxidation of Amines
Authors: Bera Shyamal Kanti , Irfan Muhammad , Porcheddu Andrea 
Published: January 2025

AbstractMicrowave‐assisted organic synthesis (MAOS) has emerged as an effective technique for accelerating chemical reactions while enhancing efficiency and selectivity. In this study, we developed a copper‐catalyzed method for aerobic oxidative coupling to synthesize quinazolinones and benzimidazoles, using oxone as the oxidant under microwave irradiation. This method successfully couples amines with various partners, including 2‐aminobenzamides and o‐phenylenediamines. The strategy demonstrates broad substrate compatibility, exhibits good functional group tolerance, and consistently achieves moderate yields, making it a versatile and efficient approach for synthesizing heterocycles.
Microbial‐induced Synthesis of nano NiFe LDH for High‐efficiency Oxygen Evolution
Authors: Li Wei‐Wei , Wu Hai‐Fang , Li Qi‐Chang , Wang Xue‐Fei , Duan Feng , Xie Hao , Zhang Jian , Shen Qiang , Yang Xiao‐Yu , Luo Guo‐Qiang 
Published: January 2025

AbstractNiFe layered double hydroxide (LDH) currently are the most efficient catalysts for the oxygen evolution reaction (OER) in alkaline environments. However, the development of high‐performance low cost OER electrocatalysts using straightforward strategies remains a significant challenge. In this study, we describe an innovative microbial mineralization‐based method for in situ‐induced preparation of NiFe LDH nanosheets loaded on nickel foam and demonstrate that this material serves as an efficient oxygen evolution electrocatalyst. In the microbial mineralization process, bacteria adhere to electrode materials and promote the surface nucleation of nanomaterials when metal ions are present. Specifically, our findings indicate that biomineralization accelerates the formation and regulation of NiFe LDH. The new electrocatalyst displays excellent OER performance, with a small overpotential of 220 mV at 10 mA cm−2 and a Tafel slope down to 38.6 mV dec−1 in alkaline solution. The remarkable OER performance of the microbial mineralization‐derived electrocatalyst is attributed to the synergistic effect of NiFe LDH and a bacterial‐specific surface area that contains multiple active sites. This study has uncovered a new approach for the assembly of NiFe LDH that relies on biomineralization to bring about morphological and structural modification of LDH nanosheets.
Categorical color perception shown in a cross‐lingual comparison of visual search
Authors: Wakui Elley , Mylonas Dimitris , Caparos Serge , Davidoff Jules 
Published: January 2025

AbstractCategorical perception (CP) for colors entails that hues within a category look more similar than would be predicted by their perceptual distance. We examined color CP in both a UK and a remote population (Himba) for newly acquired and long‐established color terms. Previously, the Himba language used the same color term for blue and green but now they have labels that match the English terms. However, they still have no color terms for the purple areas of color space. Hence, we were able to investigate a color category boundary that exists in the Himba language but not in English as well as a boundary that is the same for both. CP was demonstrated for both populations in a visual search task for one different hue among 12 otherwise similar hues; a task that eliminated concerns of label matching. CP was found at the color‐category boundaries that are specific to each language. Alternative explanations of our data are discussed and, in particular, that it is the task‐dependent use of categorical rather than non‐categorical (perceptual) color networks which produces CP. It is suggested that categorical networks for colors are bilaterally represented and are the default choice in a suprathreshold similarity judgment.
Color Space Conversion Model From CMYK to CIELab Based on Stacking Ensemble Learning
Authors: Zhan Hongwu , Zou Yifei , Zhang Yinwei , Gong Weiwei , Xu Fang 
Published: January 2025

ABSTRACTThis paper develops a method based on a stacking ensemble learning model to achieve more accurate conversion from CMYK colors to LAB colors. The model employs tetrahedral interpolation, radial basis function (RBF) interpolation, and KAN as base learners, with linear regression as the meta‐learner. Our findings show that the stacking‐based model outperforms single models in accuracy for color conversion. In the empirical study, color blocks were printed and the collected data was measured to train and validate the stacking ensemble learning model. The results show that the stacking‐based model achieves superior accuracy in color space conversion tasks. This research has substantial practical implications for enhancing color management technology in the printing industry.
Current‐Mirror Based Filters With Reduced Circuit Complexity
Authors: Nako Julia , Psychalinos Costas , Minaei Shahram , Yuce Erkan 
Published: January 2025

ABSTRACTIn this Letter, we propose a novel current‐mirror‐based lossless integration stage. The proposed stage is derived from the lossy integration counterpart by simply incorporating an additional DC current source. The unique offered contribution is the reduction of the circuit complexity in the resulting current‐mode systems, where the introduced integrator is utilized. This is verified through the performed comparison with the corresponding stage, which is already introduced in the literature. A multiple‐output biquad filter is designed using the proposed lossless integrator, and its performance is evaluated through the utilization of the Cadence IC design suite.