bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular modeling of C1‐inhibitor as SARS‐CoV‐2 target identified from the immune signatures of multiple tissues: An integrated bioinformatics study
Authors: Sekaran Karthik , Polachirakkal Varghese Rinku , Gnanasambandan R. , Karthik G. , Ramya I. , George Priya Doss C. 
Published: December 2022

AbstractThe expeditious transmission of the severe acute respiratory coronavirus 2 (SARS‐CoV‐2), a strain of COVID‐19, crumbled the global economic strength and caused a veritable collapse in health infrastructure. The molecular modeling of the novel coronavirus research sounds promising and equips more evidence about the pragmatic therapeutic options. This article proposes a machine‐learning framework for identifying potential COVID‐19 transcriptomic signatures. The transcriptomics data contains immune‐related genes collected from multiple tissues (blood, nasal, and buccal) with accession number: GSE183071. Extensive bioinformatics work was carried out to identify the potential candidate markers, including differential expression analysis, protein interactions, gene ontology, and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment studies. The overlapping investigation found SERPING1, the gene that encodes a glycosylated plasma protein C1‐INH, in all three datasets. Furthermore, the immuno‐informatics study was conducted on the C1‐INH protein. 5DU3, the protein identifier of C1‐INH, was fetched to identify the antigenicity, major histocompatibility (MHC) Class I and II binding epitopes, allergenicity, toxicity, and immunogenicity. The screening of peptides satisfying the vaccine‐design criteria based on the metrics mentioned above is performed. The drug–gene interaction study reported that Rhucin is strongly associated with SERPING1. HSIC‐Lasso (Hilbert–Schmidt independence criterion‐least absolute shrinkage and selection operator), a model‐free biomarker selection technique, was employed to identify the genes having a nonlinear relationship with the target class. The gene subset is trained with supervised machine learning models by a leave‐one‐out cross‐validation method. Explainable artificial intelligence techniques perform the model interpretation analysis.
Template‐Directed Incorporation of Functional Molecules into DNA
Authors: Kanlidere Zeynep 
Published: December 2022

AbstractWe report a versatile method for the incorporation of functional molecules into oligonucleotides carrying reactive groups by using a template‐directed postsynthetic approach in the solution phase. For this purpose, we prepared oligonucleotides carrying an amino group on the backbone by using an acylic threoninol scaffold. The resulting oligonucleotides could be used to introduce almost any molecule carrying aldehyde, which can be, among other things, a metal‐binding ligand or a fluorophore. In our study, we incorporated aldehyde‐bearing phenanthroline, a metal‐binding ligand, into oligonucleotides by template‐directed reversible conjugation. We observed that the use of an abasic sugar site instead of a natural nucleobase in the template strand increased the yield of conjugation and induced selective incorporation of the phenanthroline. This method could lead progress in the development of probes for the recognition of abasic regions in duplex DNA. Moreover, template‐directed formation of metal ligand‐oligonucleotide conjugates might have potential applications in hybrid biocatalysis for enantioselective transformations.
Zustandsmonitoring struktureller Silikonklebungen mit faseroptischen Sensoren
Authors: Wachter Nicolas , Ganß Martin , Baudone Tommaso , Baitinger Mascha , Teich Martien , Thiel Torsten 
Published: December 2022

AbstractIm Glas‐ und Fassadenbau nutzt man Silikonklebstoffe, um Glas mit metallischen Profilen oder Halterungssystemen lasttragend zu verbinden. Meist werden zusätzlich mechanische Sicherungssysteme eingesetzt und/oder die Klebfugen überdimensioniert, da Langzeiterfahrungen fehlen oder Restriktionen durch Richtlinien und Normen bestehen, die hohe pauschale Sicherheitsfaktoren nach sich ziehen. Um diese Hindernisse zu überwinden und zukünftig Klebfugen und Sicherungselement zu reduzieren, sind integrierte Sensoren und Monitoringverfahren erforderlich, die den Dehnungs‐ und Schädigungszustand der Klebung erfassen. Im Beitrag werden die Möglichkeiten der Integration und Nutzung faseroptischer Sensoren zur Zustandserfassung von Silikonklebverbindungen vorgestellt. Diesbezüglich werden die eingesetzten faseroptischen Messtechniken und das methodische Vorgehen sowie Ergebnisse an Kleinteilproben und einem Demonstrator diskutiert.Measuring methods of structural silicone bonded joints with fibre‐optic sensors. In glass and facade construction, silicone adhesives are used to connect glass to metal profiles or mounting systems in a load‐bearing manner. In this case, however, additional mechanical safety systems are usually used and/or the glued joints are oversized, because of a lack of long‐term experience or there are restrictions by guidelines and standards that result in high general safety. In order to overcome these obstacles and to reduce the number of glued joints and securing elements in the future, embedded sensors and measuring methods are required for monitoring the deformation and damage status of the joints. In the article, the possibilities and challenges of in the adhesive embedded fibreoptic sensors for condition monitoring of the silicone joints are presented. In this regard, the used fiber‐optic measurement techniques and the methodical approach as well as results from laboratory samples and a demonstrator are discussed.
N,N‐Diphenyl Dihydrophenazines: Using π‐Extension to Access Dicationic Multifunctional Materials
Authors: Dosso Jacopo , Prato Maurizio 
Published: December 2022

AbstractDihydrophenazines are receiving increasing attention due to applications in numerous fields of chemistry, from light emission to organo‐photocatalysis. Despite this growing interest and numerous works involving the preparation of radical cations based on this scaffold, the isolation and study of the aromatic dications obtained by 2 electron oxidation of dihydrophenazines is still mostly unexplored. From this point of view, along with the substitution at the N atoms generally used to tune dihydrophenazine properties, the π‐extension of the phenazine core could play a crucial role in making dicationic states accessible. This could result in an extension of the knowledge on these elusive dications and in potentially highly interesting applications ranging from material science to molecular actuators.
Iron(III) Arylhydrazone Complexes Immobilized on Amine‐Functionalized Mesoporous Silica: Catalysts for the Valorization of Biomass‐Derived Furfuryl Alcohol
Authors: Soliman Mohamed M. A. , Granadeiro Carlos M. , Balula Salete S. , Pombeiro Armando J. L. , Mahmudov Kamran T. , Alegria Elisabete C. B. A. 
Published: December 2022

AbstractThe aquasoluble FeIII complexes [Fe(H2O)3(L1)] ⋅ 4H2O (Fe1) and [Fe(H2O)3(L2)] ⋅ 3H2O (Fe2), bearing the basic forms of 5‐chloro‐3‐(2‐(4,4‐dimethyl‐2,6‐dioxocyclohexylidene)hydrazinyl)‐2‐hydroxy‐benzenesulfonic acid (H3L1) and 3‐(2‐(2,4‐dioxopentan‐3‐ylidene)hydrazinyl)‐2‐hydroxy‐5‐nitrobenzenesulfonic acid (H3L2), were incorporated for the first time into amine‐functionalized SBA‐15 support via an impregnation method. The successful preparation of the composites was confirmed by Fourier‐Transform Infrared spectroscopy (FT‐IR), powder X‐ray diffraction (XRD), scanning electron microscope (SEM/EDS), transmission electron microscopy (TEM), elemental analysis, and nitrogen adsorption‐desorption isotherms. The resulting Fe1@aptesSBA‐15 and Fe2@aptesSBA‐15 composites were tested as the first SBA‐15‐based heterogeneous catalysts for the conversion of furfuryl alcohol under mild reaction conditions (80 to 100 °C) and with an environmentally friendly oxidant (TBHP, 70 % aq. sol. with 1 : 1 oxidant/substrate molar ratio). The influence of various factors, such as reaction time, amounts of oxidant and catalyst, was investigated. The reaction time can be fairly reduced by adopting a microwave‐assisted method allowing it to reach complete conversion after 0.25 h, in the absence of any added solvent or additive. Under these conditions, a vigorous furfuryl alcohol polymerization process occurred, with furfural as a by‐product. Recycling studies were carried out for Fe2@aptesSBA‐15 and after four consecutive runs, the overall conversion of furfuryl alcohol remained high (≥99 %), without an appreciable change in the obtained yield.
Curcumin relieves corticosterone‐induced behaviour deficits via PGC‐1α‐mediated mitochondrial biogenesis and mitophagy
Authors: Zhang Wen‐yuan , Wu Ya‐jing , Guo Yu‐jin , Wang Chang‐shui , Long Xiu‐zhen , Jiang Pei 
Published: December 2022

AbstractCurcumin (CUR), an FDA‐approved natural product, has been found to be clinically effective in treating depression. However, the underlying mechanism remains elusive. PGC‐1α is a key factor in regulating mitochondrial health and depression. This study randomly divided C57BL/6 mice or cultured hippocampal neurons into four groups: CON, CORT, CORT + CUR and CORT + CUR + SR18292. The present study demonstrated that CUR was effective in suppressing CORT‐induced depressive‐like behaviour, as well as improving anxiety‐like behaviour and cognitive function. CUR was found to be effective in preventing oxidative stress induced by corticosterone (CORT), as evidenced by the restoration of Nrf2, NQO‐1, HO‐1, GCLC, SOD‐1 and DHE levels in cells. CUR inhibited the CORT‐induced perinuclear accumulation of mitochondria in vitro. Furthermore, CUR promoted mitochondrial biogenesis, potentially reversing the effect of CORT on NRF1, TFAM, PGC‐1α and the relative MT‐CO1/SDH‐A ratio. Lastly, the treatment of CUR normalized the CORT‐hindered mitophagy by upregulating the protein level of NIX, Beclin‐1, PINK1, Parkin and LC3II/LC3I, and enhancing the relative mt‐Keima signal. The protective effect of CUR was entirely negated by SR18292. CUR could regulate oxidative stress, mitochondrial biogenesis and mitophagy via PGC‐1α to achieve an anti‐depressive‐like function. This study would contribute to a greater understanding of how CUR alleviates depressive symptoms.
Ecological niche models reveal divergent habitat use of Pallas's cat in the Eurasian cold steppes
Authors: Lorestani Niloufar , Hemami Mahmoud‐Reza , Rezvani Azita , Ahmadi Mohsen 
Published: December 2022

AbstractIdentifying the association between the patterns of niche occupation and phylogenetic relationships among sister clades and assisting conservation planning implications are of the most important applications of species distribution models (SDMs). However, most studies have been carried out regardless of within taxon genetic differentiation and the potential of local adaptation occurring within the species level. The Pallas's cat (Otocolobus manul) is a less‐studied species with unknown biogeography and phylogenetic structure across a widespread yet isolated range from the Caucasus to eastern China. In the current study, by considering a previously proposed genetic structure and based on a cluster analysis on climatic variables, we supposed three clades for this species, including O. m. manul, O. m. ferrugineus, and O. m. nigripectus. We developed SDM for each clade separately and compared it with a general distribution model of the species to determine whether the hypothesized taxonomic resolution affects the predicted ecological niche of the within‐species structures. We assessed the effect of climate change on the future distribution of the species to detect the most sensitive clades to global warming scenarios. Our results showed that for all clades' models, the AUC and TSS were greater than the general model. Access to the preferred prey of the Pallas's cat, that is, pika, had a significant effect on the distribution of O. m. manul and O. m. ferrugineus, whereas the most influential variable affecting O. m. nigripectus habitat suitability was terrain slope. Based on our future projections, we found that future climate change likely threatens the clades O. m. ferrugineus and O. m. nigripectus more than O. m. manul, findings that were hidden in the general model. Our results highlight the proficiency of SDMs in recognizing within‐taxon habitat use of widespread species and the necessity of this procedure for implementing effective conservation planning of these species.
To treat or not to treat? Experimental pathogen exposure, treatment, and release of a threatened amphibian
Authors: Adams Andrea J. , Bushell Jessie , Grasso Robert L. 
Published: December 2022

AbstractReintroductions may mitigate the effects of severe amphibian declines, but chytridiomycosis—the often‐deadly disease caused by the fungal pathogenBatrachochytrium dendrobatidis(Bd)—can hinder these efforts. Exposing amphibians to the pathogen ex situ may improve disease outcomes post‐release. We experimentally inoculated federally threatened California red‐legged frogs (Rana draytonii) ex situ, cleared Bd infections, and then released them to the wild for monitoring in an area where Bd is present. Ex situ, previously exposed frogs had lower Bd loads than previously uninfected frogs, and all exposure groups, including previously uninfected frogs, naturally reduced their Bd loads in two independent experiments. After release to the wild, we observed no differences in field‐contracted Bd infection among exposure groups. Treating post‐metamorphicR. draytoniiex situ may not confer additional post‐release benefit to this species in terms of chytridiomycosis burden. Our results, however, do not necessarily mirror Bd susceptibility throughout the amphibian life cycle, with other source populations that may have different Bd infection histories, or responses to different Bd strains. These results provide a clearer understanding of post‐release disease responses of a threatened, Bd‐susceptible species with prior pathogen exposure. Following ex situ experiments with in situ applications can provide a more comprehensive understanding of threat outcomes for declining species in reintroduction programs and strengthen critical links between ex situ and in situ conservation partners.
Y(OTf)3‐CuI Catalyzed N‐α Alkynylation of Cyclic Imines with Alkynes
Authors: Feng Yi‐Man , Liu Chang‐Hong , Li Xin , Sun Jian‐Ting , Liu Nai‐Xuan , Wei Bang‐Guo 
Published: December 2022

AbstractAn efficient approach to (2R,3S)‐3‐siloxy‐2‐phenylethynyl substituted pyrrolidines was developed through Y(OTf)3‐CuI catalyzed N‐α alkynylation of cyclic imines (1 a and 1 e) with alkynes 2 a–s. As a result, a number of trans‐2‐phenyl acetylene substituted‐3‐siloxy pyrrolidine derivatives 4 aa–as, 4 ea–ef and 4 es were synthesized in moderate to good yields with excellent diastereoselectivities (dr up to 99 : 1).
The sensory ecology of primate food perception, revisited
Authors: Veilleux Carrie C. , Dominy Nathaniel J. , Melin Amanda D. 
Published: December 2022

AbstractTwenty years ago, Dominy and colleagues published “The sensory ecology of primate food perception,” an impactful review that brought new perspectives to understanding primate foraging adaptations. Their review synthesized information on primate senses and explored how senses informed feeding behavior. Research on primate sensory ecology has seen explosive growth in the last two decades. Here, we revisit this important topic, focusing on the numerous new discoveries and lines of innovative research. We begin by reviewing each of the five traditionally recognized senses involved in foraging: audition, olfaction, vision, touch, and taste. For each sense, we provide an overview of sensory function and comparative ecology, comment on the state of knowledge at the time of the original review, and highlight advancements and lingering gaps in knowledge. Next, we provide an outline for creative, multidisciplinary, and innovative future research programs that we anticipate will generate exciting new discoveries in the next two decades.
Effects of solar tunnel drying zones and slice thickness on the drying characteristics of taro (Colocasia esculenta (L.) Schott) slice
Authors: Molla Ehtenesh Tilahun , Teka Tilahun A. , Taye Addisalem Hailu 
Published: December 2022

AbstractThis study aims to investigate the effects of slice thicknesses (2, 4, and 6 mm) and solar tunnel drying zones (zone I, zone II, and zone III) on the drying characteristics and thermal properties of taro slices, which were dried using solar tunnel drying (STD). To assess the drying characteristics of taro slices, the data from the drying kinetics were fitted with five different models. The adequacy of fit for the proposed models was evaluated using the reduced chi‐square (χ2), determination of coefficient (R2), mean relative percent error (P), and root means square error (RMSE). The results showed that, among the five drying models, the drying characteristics of taro are better expressed by the logarithmic model. The thinnest slices dried in zone III had the highest diffusivity (6.57 × 10–09 m2/s), lowest specific heat capacity (1.761 kJ/kg °C), and maximum thermal conductivity (0.268 W/m °C). It was also dried within a short period of time (5.5 h). The findings of this study provide evidence that STD zones and slice thickness have significant impact on the drying characteristics of dried taro slices.
Recommendation for imaging follow‐up strategy based on time‐specific disease failure for nasopharyngeal carcinoma
Authors: Feng Ye , Xu Yiying , Xu Ting , Hong Huiling , Chen Jiawei , Qiu Xiufang , Ding Jianming , Huang Chaoxiong , Li Li , Liu Jing , Fei Zhaodong , Chen Chuanben 
Published: December 2022

AbstractBackgroundTo develop a common follow‐up strategy for appropriate imaging examination at an appropriate time for nasopharyngeal carcinoma (NPC).MethodsIndependent prognostic factors were identified by Cox regression analysis, and a nomogram model was developed. Random survival forest (RSF) model was constructed to depict probability of disease failure during a 5‐year follow‐up and establish a reasonable risk‐based follow‐up strategy.ResultsThe nomogram model finally categorized the patients into three risk groups. RSF model demonstrated distribution trends for local and regional recurrences, bone metastasis, liver metastasis, and lung metastasis of NPC. Adequate imaging at follow‐up should be considered between 10 and 21 months for patients at moderate‐risk of recurrence or metastasis and 7–36 months for those at high‐risk.ConclusionsThe temporal distribution of incidence rates of recurrence or metastasis varied among different risk groups. We recommend implementing a focused and targeted imaging surveillance intervention at appropriate times to improve its efficiency and reduce costs.
An image processing‐based quantification of gram variability in Acinetobacter baumannii
Authors: Canciello Sofia , Parisi Miranda , Lucidi Massimiliano , Visca Paolo , Cincotti Gabriella 
Published: December 2022

AbstractGram staining differentiates bacteria as gram‐positive and gram‐negative, depending on their cell wall constituents, and coloring cells in violet and pink, respectively. Sometimes, a subpopulation of the same bacterial species assumes different colors, ranging from pink to violet, for reasons that are not completely understood yet. We analyze conventional brightfield images and use an automated pipeline to count pink and violet cells. The ImageJ‐based processing algorithm quantifies the gram variability in Acinetobacter baumannii ACICU in the stationary phase of growth with a percentage of 66% pink cells. Different bacterial strains and cell growth stages have been considered.Research HighlightsGram staining differentiates bacteria into gram‐positive (violet) and gram‐negative (pink). Gram variability represents an inhomogeneous distribution of pink and violet cells within the same species. We developed an ImageJ‐based pipeline for the quantification of Gram variability in Acinetobacter baumannii.
Novel algorithm for diagnosis of Arrhythmogenic cardiomyopathy and dilated cardiomyopathy: Key gene expression profiling using machine learning
Authors: Zhang Youming , Xie Jiaxi , Wu Yizhang , Zhang Baowei , Zhou Chunjiang , Gao Xiaotong , Xie Xin , Li Xiaorong , Yu Jinbo , Wang Xuecheng , Cheng Dian , Zhou Jian , Chen Zijun , Fan Fenghua , Zhou Xiujuan , Yang Bing 
Published: December 2022

AbstractBackgroundIt is difficult to distinguish between arrhythmogenic cardiomyopathy (ACM) and dilated cardiomyopathy (DCM) because of their similar clinical manifestations. This study aimed to develop a novel diagnostic algorithm for distinguishing ACM from DCM.MethodsTwo public datasets containing human ACM and DCM myocardial samples were used. Consensus clustering, non‐negative matrix factorization and principal component analysis were applied. Weighted gene co‐expression network analysis and machine learning methods, including random forest and the least absolute shrinkage and selection operator, were used to identify candidate genes. Receiver operating characteristic curves and nomograms were performed to estimate diagnostic efficacy, and Spearman's correlation analysis was used to assess the correlation between candidate genes and cardiac function indices.ResultsBoth ACM and DCM showed highly similar gene expression patterns in the clustering analyses. Hub gene modules associated with cardiomyopathy were obtained using weighted gene co‐expression network analysis. Thirteen candidate genes were selected using machine learning algorithms, and their combination showed a high diagnostic value (area under the ROC curve = 0.86) for distinguishing ACM from DCM. In addition, TATA‐box binding protein associated factor 15 showed a negative correlation with cardiac index (R = −0.54, p = 0.0054) and left ventricular ejection fraction (R = −0.48, p = 0.0015).ConclusionsOur study revealed an effective diagnostic model with key gene signatures, which indicates a potential tool to differentiate between ACM and DCM in clinical practice. In addition, we identified several genes that are highly related to cardiac function, which may contribute to our understanding of ACM and DCM.
High‐resolution mapping of sensory fibers at the healthy and post‐myocardial infarct whole transgenic hearts
Authors: Sahoglu Sevilay Goktas , Kazci Yusuf Enes , Karadogan Behnaz , Aydin Mehmet Serif , Nebol Aylin , Turhan Mehmet Ugurcan , Ozturk Gurkan , Cagavi Esra 
Published: December 2022

AbstractThe sensory nervous system is critical to maintain cardiac function. As opposed to efferent innervation, less is known about cardiac afferents. For this, we mapped the VGLUT2‐expressing cardiac afferent fibers of spinal and vagal origin by using the VGLUT2::tdTomato double transgenic mouse as an approach to visualize the whole hearts both at the dorsal and ventral sides. For comparison, we colabeled mixed‐sex transgenic hearts with either TUJ1 protein for global cardiac innervation or tyrosine hydroxylase for the sympathetic network at the healthy state or following ischemic injury. Interestingly, the nerve density for global and VGLUT2‐expressing afferents was found significantly higher on the dorsal side compared to the ventral side. From the global nerve innervation detected by TUJ1 immunoreactivity, VGLUT2 afferent innervation was detected to be 15–25% of the total network. The detailed characterization of both the atria and the ventricles revealed a remarkable diversity of spinal afferent nerve ending morphologies of flower sprays, intramuscular endings, and end‐net branches that innervate distinct anatomical parts of the heart. Using this integrative approach in a chronic myocardial infarct model, we showed a significant increase in hyperinnervation in the form of axonal sprouts for cardiac afferents at the infarct border zone, as well as denervation at distal sites of the ischemic area. The functional and physiological consequences of the abnormal sensory innervation remodeling post‐ischemic injury should be further evaluated in future studies regarding their potential contribution to cardiac dysfunction.