bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robinin Isolated From Solanum Asperum Exhibits Pharmacological Actions in the Central Nervous System of Adult Zebrafish (Danio rerio)
Authors: Lemos Cecília Guimarães , Wlisses da Silva Antonio , Maciel Jéssica Bezerra , Ferreira Maria Kueirislene Amâncio , Nunes da Rocha Matheus , Marinho Márcia Machado , Marinho Emmanuel Silva , Pinto Francisco das Chagas Lima , Loiola Otília Deusdênia , de Castro Gomes Andreia Ferreira , de Menezes Jane Eire Silva Alencar , dos Santos Hélcio Silva 
Published: December 2024

ABSTRACTThis study investigated the anxiolytic, anticonvulsant and memory preservation effects of the flavonoid robinin. The compound, administered at doses of 4, 20 and 40 mg/kg, did not show toxicity after 96 h of monitoring. In behavioural experiments with zebrafish, robinin did not cause significant changes in motor functions, but it impairs locomotor activity and demonstrates anxiolytic properties, evidenced by the increase in the time spent in the clean zone of the protector. A minimum effective dose (4 mg/kg) was blocked by flumazenil (FMZ), providing interaction with GABAA receptors and decreasing an anxiolytic profile similar to that of diazepam, without causing sedation. In addition, a dose of 40 mg/kg was able to reverse seizures, increasing the latency to enter the seizure stages, an effect that was also blocked by FMZ. Robinin (40 mg/kg) also prevented memory variation in an inhibitory avoidance test. In silico absorption, distribution, metabolism and excretion tests indicated that robinine presents gradual intestinal absorption and low distribution in the central nervous system. In molecular docking, the compound was exposed in the layer with CAII and GABAA receptors, corroborating the anxiolytic and anticonvulsant effects. The results suggest that robinine has therapeutic potential in the treatment of anxiety and seizures, in addition to offering memory protection, representing an advantageous alternative to benzodiazepines, with a promising neuroprotective potential for the pharmaceutical industry.
Quadruplex DNA Hybrid Catalysts for Enantioselective Reactions
Authors: Wang Zixiao , Dong Xingchen , Chen Yashao , Wang Changhao 
Published: December 2024

AbstractBeyond the pivotal genetic roles of DNA, its duplex structures as chiral scaffolds interacting with metal complexes give rise to DNA hybrid catalysts for a set of aqueous‐phase enantioselective reactions. Besides DNA duplex, DNA quadruplexes including G‐quadruplex and i‐motif show tunable structures with variable non‐canonical base pairs. In this concept, based on the interaction between metal species and DNA, we classify the construction strategies of quadruplex DNA hybrid catalysts into supramolecular, covalent and coordinative modes. Furthermore, we analyze the relationship between DNA quadruplexes and their enantioselective catalytic performance. Finally, we summarize the current challenges and look forward to the future directions in DNA‐based enantioselective catalysis.
An Upgraded Solid‐Phase Assembly of Chelators (DOTA and NOTA) Enabled Bacterial Uptake Studies of Radiolabeled Peptide
Authors: Pati Bibekananda , Kumar Anuj , Chowdhury Arnab , Tripathi Nitesh Mani , Gour Vinod , Mukherjee Archana , Bandyopadhyay Anupam 
Published: December 2024

AbstractAmong popular radio metal chelators, DOTA and NOTA have been remarkably considered in radionuclide therapy and imaging studies due to several advantages in pharmacology. Here, we developed a practical and general method for assembling DOTA and NOTA in the solid phase peptide (pseudo‐dilute conditions) using a wide range of solvents with easily accessible and economical feedstocks, which mitigated unprecedented challenges associated with previously reported methods. This upgraded approach enabled an efficient installation of these two chelators on various bioactive peptide sequences. Finally, we assessed the antimicrobial activity of the DOTA‐ and NOTA‐attached Combi peptides to B. subtilis, which was intact. The authenticity of the assembled DOTA framework was assessed by labeling 177Lu and in vitro bacterial uptake in E. coli and S. aureus. 177Lu‐labeled DOTA‐Combi peptide exhibited promising uptake for developing a bacterial infection imaging agent while negligible hemolysis activity even at >200 μM. This contribution will be valued for developing peptide radiopharmaceuticals with operational simplicity and economic approaches.
Gender‐Based Specificities of Fractional Flow Reserve Measurement
Authors: Mangiacapra Fabio , Toth Gabor G. , Paolucci Luca , Wyffels Eric , Bartunek Jozef , Vanderheyden Marc , De Bruyne Bernard , Barbato Emanuele 
Published: December 2024

ABSTRACTBackgroundThe relationship between angiographic findings and fractional flow reserve (FFR) according to gender is currently unknown.AimsTo examine gender‐based differences in the concordance between angiographic and functional assessment of coronary stenosis severity.MethodsWe examined 3770 coronary stenoses of stable patients undergoing both quantitative coronary angiography and FFR measurements in at least one coronary stenosis.ResultsMedian FFR values were higher in female as compared with male patients (0.84 vs. 0.81, p < 0.001) in the overall cohort and in the first three quartiles of diameter stenosis (DS). At receiver operator characteristics (ROC) analysis, DS was effective in predicting ischemic FFR values in both men and women. A 50% DS was the optimal cut off to identify functionally significant stenoses in the entire cohort and in male patients. In females, a higher DS threshold (≥ 59%) significantly improved lesions classification (69.4% vs. 72.4%, p = 0.034), yet at the cost of an increased false negatives rate (10.5% vs. 20.8%, p < 0.001). A lower cut‐off of 50% showed a superior diagnostic accuracy for ischemic FFR values (i.e., FFR values ≤ 0.80, AUC: 0.697 vs. 0.661, p = 0.006). Female gender was independently associated with a reduced risk of ischemic FFR (OR 0.51 95% CI [0.43−0.61]).ConclusionsFemale patients show higher FFR values across different DS thresholds compared to male patients. A DS ≥ 50% is the best threshold to identify ischemic FFR in both males and females. A higher threshold of DS (≥ 59%) is associated with a significant improvement in lesion classification, despite leading to increased false negatives rate.
Silicon‐Based Linkers for Tunable Acid‐Sensitive Drug Release from Polymeric Nanoparticles
Authors: Timmers Matt , Kong Marco , Schuckman Peter , Meulemans Tommi , Rijcken Cristianne , Hennink Wim E. , Vermonden Tina , Liskamp Rob M. J. 
Published: December 2024

AbstractActive Pharmaceutical Ingredients (APIs) may benefit from a carrier to improve their pharmacokinetic and pharmacodynamic properties. Core‐crosslinked polymeric micelles (CCPMs) are carriers for hydrophobic small molecule APIs. In CCPMs, APIs are generally covalently coupled to the core of the micelles by use of a linker, which can be tailored to adjust the release rate of the API. Acid triggered release is promising because of local acidic environment in the tissue of interest, and expected uptake via endocytosis. In the present study, silyl‐based linkers were synthesized, and attached to gemcitabine as model API to investigate the tunability of release by introduction of different substituents. Attachment was achieved via an Si ether bond, with the linker coupled to the primary alcohol functionality on gemcitabine. By varying the substituents on the silyl atom, we could vary the release half‐life (t1/2) of native gemcitabine from <1 hour–>96 hours at pH 5.0 at 37 °C, compared to a t1/2 of 24–>240 hours at pH 7.4 at 37 °C, respectively. The steric hinderance caused by substituents contributed to an increase of t1/2 at pH 5.0, as the largest substituents resulted in the slowest release. Extension to other APIs and other carriers is clearly possible.
A Pair of Dinuclear Fe(II) Enantiomers: Syntheses and Structures of ΛΔ/ΔΛ‐Bis(Dihydridoborate) Complexes
Authors: Kaur Urminder , Gayen Sourav , Sharma Himanshu , Vanka Kumar , Ghosh Sundargopal 
Published: December 2024

AbstractIn our effort to establish a direct synthetic approach for bis(dihydridoborate) complexes of first‐row transition metals, we have investigated the reactivity of [Cp*Fe(dppe)Cl] (dppe =1,2‐bis(diphenylphosphino)ethane) with Na[BH3L] (L =2‐mercaptopyridine (mp) and 2‐mercaptobenzothiazole (mbz)) that led to the formation of iron(II) dihydridoborate complexes, [Cp*Fe{κ3‐S,H,H‐(H2BH(L))}] 1 a‐b (L=mp (1 a) and L=mbz (1 b)). Further, in an attempt to isolate the bis(dihydridoborate) complex of iron by the insertion of borane into the κ2‐N,S‐chelated iron complex, [(dppe)Fe{κ2‐N,S‐(mp)}2] (2), we have isolated and structurally characterized a rare example of dimeric iron bis(dihydridoborate) complex, [Fe{κ3‐S,H,H‐(H2BH(mp))}2]2, ΛΔ/ΔΛ‐3 as pair of enantiomers. Interestingly, these enantiomers ΛΔ/ΔΛ‐3 have two trans‐[Fe{κ3‐S,H,H‐(H2BH(mp))}2] moieties bridged through sulfur atoms of 2‐mercaptopyridinyl ligands, where the iron centres are hepta‐coordinated. The natural bond‐orbital (NBO) analyses of ΛΔ‐3 and ΔΛ‐3 show considerable electron donation from the filled σB‐H bonding orbital to vacant
orbital of iron with a substantial contribution from the hydrogen atoms. The localized orbital bonding analysis (LOBA) method suggests that all the iron centres are in +2 oxidation state.
Protocol: Machine learning for selecting moderators in meta‐analysis: A systematic review of methods and their applications, and an evaluation using data on tutoring interventions
Authors: Dietrichson Jens , Klokker Rasmus , Filges Trine , Bengtsen Elizabeth , Pigott Therese D. 
Published: December 2024

AbstractObjectivesThis is the protocol for a Campbell systematic review. The objectives are as follows: The first objective is to find and describe machine and statistical learning (ML) methods designed for moderator meta‐analysis. The second objective is to find and describe applications of such ML methods in moderator meta‐analyses of health, medical, and social science interventions. These two parts of the meta‐review will primarily involve a systematic review and will be conducted according to guidelines specified by the Campbell Collaboration (MECCIR guidelines). The outcomes will be a list of ML methods that are designed for moderator meta‐analysis (first objective), and a description of how (some of) these methods have been applied in the health, medical, and social sciences (second objective). The third objective is to examine how the ML methods identified in the meta‐review can help researchers formulate new hypotheses or select among existing ones, and compare the identified methods to one another and to regular meta‐regression methods for moderator analysis. To compare the performance of different moderator meta‐analysis methods, we will apply the methods to data on tutoring interventions from two systematic reviews of interventions to improve academic achievement for students with or at risk‐of academic difficulties, and to an independent test sample of tutoring studies published after the search period in the two reviews.
PROTOCOL: Financial coaching for enhancing household finances and health/well‐being: A systematic review and meta‐analysis
Authors: Birkenmaier Julie , Maynard Brandy R. , Shanks Hannah , Greer Elizabeth 
Published: December 2024

AbstractThis is the protocol for a Campbell systematic review. The objectives are as follows. The primary objective of this review is to answer the following research questions: (1) What is the extent of financial coaching intervention research? (2) What are the effects on financial outcomes of financial coaching embedded within community settings? (3) What are the effects on financial outcomes of financial coaching embedded within healthcare settings? (4) What are the effects on health/well‐being‐related outcomes of financial coaching embedded within community settings? (5) What are the effects on health/well‐being‐related outcomes of financial coaching embedded within healthcare settings? (6) What study or intervention characteristics are associated with variation in the effects of financial coaching (i.e., design (RCT and QED), publication status (published or unpublished), dosage and duration of financial coaching intervention (continuous variable), age, financial coaching elements, and setting of intervention (healthcare or non‐healthcare)?
Salt/Co‐Crystal Discrimination Made Easy by 17O Solid‐State NMR
Authors: Grosu Ioana‐Georgeta , Iuga Dinu , Tatman Ben P. , Miclaus Maria O. , Brown Steven P. , Filip Claudiu 
Published: December 2024

AbstractA 17O solid‐state NMR method for salt/co‐crystal discrimination in binary compounds of carboxylic acids is presented. The method incorporates a quick and relatively inexpensive labelling protocol for mechanochemical 17O enrichment of the carboxyl oxygen positions, as previously described by Metro et al. Angew. Chem. 2017, 56, 6803, followed by a visual interpretation of the recorded 17O solid‐state magic‐angle spinning (MAS) NMR spectra in terms of the nature of the enriched oxygen sites in the prepared binary compound. Care must be taken where variable‐temperature changes in the 17O MAS spectra are observed. Nevertheless, we observe that, at low temperatures, the averaging effect of chemical exchange of the carboxyl/carboxylate moieties can be avoided and two well separated 17O lines are obtained for a carboxylic acid, whereas the almost equivalent carboxylate oxygen sites give rise to a single NMR signal. The method is illustrated in two cases, one in which salts can be identified also from their 1H solid‐state NMR spectra by the absence of high ppm resonances due to hydrogen bonding, and another one, the more general case of organic crystals with multiple hydrogen bonding, where only 17O solid‐state NMR spectra can be employed for salt/co‐crystal discrimination. A quantitative analysis of 17O solid‐state NMR spectral parameters can provide useful information in structural studies by NMR crystallography approaches.
Federal Cervical Cancer Collaborative: Improving cervical cancer prevention through vaccination, screening, and management in safety‐net settings of care
Authors: Hendrix Ellen L. , Chollette Veronica Y. , Wentzensen Nicolas , Loukissas Jennifer K. , McGee‐Avila Jennifer K. , Tookmanian Elise , Temkin Sarah M. , Douthard Regine A. , Rossy Madeline , Donald Cheryl , Kobrin Sarah C. , Segebrecht Jane W. 
Published: December 2024

AbstractThe Federal Cervical Cancer Collaborative (FCCC) was established by the Health Resources and Services Administration Office of Women’s Health and its interagency partners within the U.S. Department of Health and Human Services. Its primary mission, aligned with the goals of the Cancer Moonshot (https://www.cancer.gov/research/key‐initiatives/moonshot‐cancer‐initiative/implementation/prevention‐early‐detection), is to accelerate control of cervical cancer within safety‐net settings of care. This interagency partnership works in close collaboration to reduce disparities in cervical cancer care, particularly among populations that are geographically isolated, economically challenged, and medically underserved. The FCCC bridges federal priorities of cancer research from the National Institutes of Health National Cancer Institute to health care delivery in Health Resources and Services Administration–supported and safety‐net settings of care. In this commentary, FCCC activities are discussed to improve cervical cancer prevention and control through vaccination, screening, and management of preinvasive cervical disease in safety‐net settings of care. These activities include the development and implementation of an evidence‐based, action‐oriented provider toolkit and federal opportunities report. The FCCC’s efforts to increase the readiness of safety‐net settings of care to implement the 2019 American Society for Colposcopy and Cervical Pathology Risk‐Based Management Consensus Guidelines for patients with abnormal cervical cancer screening results are discussed. Also described are the results from a survey of National Cancer Institute–designated cancer centers, designed to inform future efforts to strengthen referrals and care coordination with safety‐net settings of care.
Neuroarchitecture of the Central Complex in the Madeira Cockroach Rhyparobia maderae: Tangential Neurons
Authors: Jahn Stefanie , Althaus Vanessa , Seip Ann‐Katrin , Rotella Saron , Heckmann Jannik , Janning Mona , Kolano Juliana , Kaufmann Aurelia , Homberg Uwe 
Published: December 2024

ABSTRACTNavigating in diverse environments to find food, shelter, or mating partners is an important ability for nearly all animals. Insects have evolved diverse navigational strategies to survive in challenging and unknown environments. In the insect brain, the central complex (CX) plays an important role in spatial orientation and directed locomotion. It consists of the protocerebral bridge (PB), the central body with upper (CBU) and lower division (CBL), and the paired noduli (NO). As shown in various insect species, the CX integrates multisensory cues, including sky compass signals, wind direction, and ego‐motion to provide goal‐directed vector output used for steering locomotion and flight. While most of these data originate from studies on day‐active insects, less is known about night‐active species such as cockroaches. Following our analysis of columnar and pontine neurons, the present study complements our investigation of the cellular architecture of the CX of the Madeira cockroach by analyzing tangential neurons. Based on single‐cell tracer injections, we provide further details on the internal organization of the CX and distinguished 27 types of tangential neuron, including three types of neuron innervating the PB, six types of the CBL, and 18 types of the CBU. The anterior lip, a brain area unknown in flies and highly reduced in bees, and the crepine are strongly connected to the cockroach CBU in contrast to other insect species. One tangential neuron of the CBU revealed a direct connection between the mushroom bodies and the CBU.
TwinSec‐IDS: An Enhanced Intrusion Detection System in SDN‐Digital‐Twin‐Based Industrial Cyber‐Physical Systems
Authors: Krishnaveni S , Sivamohan S. , Jothi B. , Chen Thomas M. , Sathiyanarayanan Mithileysh 
Published: December 2024

ABSTRACTThe increasing complexity and interconnectivity of industrial cyber‐physical systems (ICPSs), while enhancing operational security and reliability, have also introduced significant cybersecurity challenges. Software‐defined networking (SDN), a transformative technology for centralized and dynamic resource management, is particularly vulnerable as centralized control planes can become single points of failure. The integration of Digital Twin technology, which creates virtual replicas of physical systems for real‐time monitoring and prediction, further exacerbates security risks. To address these issues, we present TwinSec‐IDS, an advanced intrusion detection framework designed for SDN‐Digital‐Twin‐based ICPS. TwinSec‐IDS provides comprehensive and proactive intrusion detection, thereby enhancing the resilience of industrial networks. This paper introduces an ensemble approach, leveraging hybrid deep learning models—such as Bi‐GRU‐CNN, Bi‐GRU‐LSTM, and Bi‐GRU‐LSTM‐CNN—integrated with ensemble‐based feature selection techniques. The system employs weighted majority voting to combine predictions from multiple models, improving detection accuracy. To ensure optimal feature selection, the framework incorporates explainable AI and multiple filter methods, including mutual information, chi‐square tests, and correlation coefficients, aggregated through a voting mechanism. TwinSec‐IDS demonstrates high accuracy in detecting and categorizing anomalies and effectively responds to potential threats. Extensive evaluations show that TwinSec‐IDS significantly improves the security and resilience of SDN‐Digital‐Twin‐based ICPS, addressing critical cybersecurity concerns and making industrial processes safer and more reliable.
A System of Multimodal Image‐Text Retrieval Based on Pre‐Trained Models Fusion
Authors: Li Qiang , Zhao Feng , Zhao Linlin , Liu Maokai , Wang Yubo , Zhang Shuo , Guo Yuanyuan , Wang Shunlu , Wang Weigang 
Published: December 2024

ABSTRACTThe algorithm for multimodal image‐text retrieval aims to overcome the differences between visual and textual data, enabling efficient and accurate recognition between images and text. Since manually labeled data are usually expensive, many researchers attempted to use low‐quality multimodal data obtained through network batch operations. This presents a challenge for the model's generalization performance and prediction accuracy. To address this issue, we construct a system of multimodal image‐text retrieval based on the fusion of pre‐trained models. Firstly, we enhance the diversity of the original data using the MixGen algorithm to improve the model's generalization performance. Next, we employ Chinese‐CLIP as the most suitable foundational model based on comparative experiments among three different models. Finally, we construct a comprehensive ensemble model with three base Chinese‐CLIP models based on the specific characteristics of the tasks, which includes a prediction‐based fusion model for the text‐to‐image task and a feature‐based fusion model for the image‐to‐text task. Extensive experiments show that our model outperforms state‐of‐the‐art single foundation models in generalization, especially with low‐quality image‐text pairs and small datasets in the Chinese context.
Comparative Analysis of Gut Microbiota Between Wild and Captive Guizhou Snub‐Nosed Monkey (Rhinopithecus brelichi)
Authors: Huang Xiaolong , Li Haibo , Zhang Lan , Zhang Xu , Cheng Shaochuan , Yan Yuying , Yang Wei , Meng Bingshun , Wang Zuobo , Zhao Juanjuan , Ran Jingcheng 
Published: December 2024

ABSTRACTMaintaining a healthy status is crucial for the successful captive breeding of critically endangered Rhinopithecus brelichi, it is conducive to ex situ conservation of this species and rejuvenation of its population. However, changes in the feeding environment and food can affect the composition and function of the gut microbiota in R. brelichi, ultimately impacting its health and adaptation. Herein, 16S rRNA gene sequencing was employed to determine the gut microbiota composition and functional variations between wild and captive R. brelichi populations. The results showed that the captive group had higher alpha diversity than the wild group, and significant differences were observed in their beta diversity. Captive and wild R. brelichi showed similar microbiota at the phylum level, which mainly comprised Firmicutes, Bacteroidota, and Spirochaetota, but captivity reduced the Firmicutes/Bacteroides ratio. Differential abundance analysis revealed that the relative abundance of microbiota related to cellulose degradation, such as Prevotellaceae_UCG_001, Christensenellaceae_R_7_group, Ruminococcus, and Fibrobacter, differed significantly between the two groups. Furthermore, the potential pathogens Acinetobacter and Treponema were significantly abundant in wild and captive groups, respectively. Functional predictions demonstrated that the most significant functional pathways at the second level between captive and wild monkeys were carbohydrate, amino acid, and lipid metabolisms. The captive monkeys exhibited higher digestive capacity and endocrine regulation as well as a higher risk of infectious diseases than wild monkeys. These findings can serve as a valuable theoretical basis for promoting the healthy breeding of R. brelichi and as a guide for future evaluation of the health of wild and captive monkeys.