bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reduced expression of alanyl aminopeptidase is a robust biomarker of non‐familial adenomatous polyposis and non‐hereditary nonpolyposis colorectal cancer syndrome early‐onset colorectal cancer
Authors: Ha Ye Jin , Shin Yun Jae , Tak Ka Hee , Park Jong Lyul , Kim Jeong Hwan , Lee Jong Lyul , Yoon Yong Sik , Kim Chan Wook , Kim Seon Young , Kim Jin Cheon 
Published: February 2023

AbstractBackgroundEarly‐onset colorectal cancer (EOCRC) has been increasing in incidence worldwide but its genomic pathogenesis is mostly undetermined. This study aimed to identify robust EOCRC‐specific gene expression patterns in non‐familial adenomatous polyposis (FAP) and non‐hereditary nonpolyposis colorectal cancer syndrome (HNPCC) EOCRC.MethodWe first performed gene expression profiling analysis using RNA sequencing of discovery cohort comprised of 49 EOCRC (age <50) and 50 late‐onset colorectal cancer (LOCRC) (age >70) specimens. To obtain robust gene expression data from this analysis, we validated differentially expressed genes (DEGs) through TCGA cohort (EOCRC:59 samples, LOCRC:229 samples) and our validation cohort (EOCRC:72 samples, LOCRC:43 samples) using real‐time RT‐PCR. After the validation of DEGs, we validated the selected gene at protein levels using Western blotting. To identify whether genomic methylation regulates the expression of a particular gene, we selected methylation sites using The Cancer Genome Atlas (TCGA) datasets and validated them by pyrosequencing in our validation cohort.ResultsThe EOCRC patients included in this study had significantly more prominent family history of cancer than the LOCRC patients (23 [46.9%] vs. 13 [26%], p = 0.050). Alanyl aminopeptidase (ANPEP) was significantly downregulated in the EOCRC tissues (FC = 1.78, p = 0.0007) and was also commonly downregulated in the TCGA cohort (FC = −1.08, p = 0.0021). Moreover, the ANPEP mRNA and protein expression levels were significantly downregulated in the EOCRC tissues of our validation cohort (p = 0.037 and 0.027). In comparisons of the normal and tumor tissues in public datasets, the ANPEP level was significantly lower in the tumor tissue in the TCGA dataset (p < 2.2 × 10−16) and GSE196006 dataset (p = 0.0005). Furthermore, the ANPEP expression level did not show a decreasing tendency at a young age in the normal colon tissue of the GTEx dataset. Lastly, the hypermethylation of cg26222247 in ANPEP was identified to be weakly associated with reduced ANPEP expression in our EOCRC cohort.ConclusionThe reduced expression of ANPEP was identified as a novel biomarker of non‐FAP and non‐HNPCC EOCRC.
Analysis of Bitter Almonds and Processed Products Based on HPLC‐Fingerprints and Chemometry
Authors: Zhang Guoqin , Liu Meiqi , Ma Zicheng , Wang Meng , Sun Lili , Liu Yanan , Ren Xiaoliang 
Published: February 2023

AbstractIn the processing field, there is a saying that “seed drugs be stir‐fried”. Bitter almond (BA) is a kind of seed Chinese medicine. BA need be used after being fried. To distinguish raw bitter almonds (RBA) from processed products and prove the rationality of “seed drugs be stir‐fried”, we analyzed the RBA and five processed products (scalded bitter almonds, fried bitter almonds, honey fried bitter almonds, bran fried bitter almonds, bitter almonds cream) using RP‐HPLC fingerprints and chemometric methods. The similarity between RBA and processed products was 0.733∼0.995. Hierarchically clustered heatmap was used to evaluate the changes in components. Principal component analysis (PCA) was used for classification, and all samples are distinguished according to RBA and five processing methods. Six chemical markers were obtained by partial least squares discriminant analysis (PLS‐DA). The content and degradation rate of amygdalin and β‐glucosidase activity were determined. Compared with RBA, the content and degradation rate of amygdalin, and β‐glucosidase activity were increased in bitter almonds cream. The content and degradation rate were decreased, and β‐glucosidase was inactivated in other processed products. The above results showed that stir‐frying had the best effect. The results showed that processing can ensure the stability of RBA quality, and the saying “seed drugs be stir‐fried” is reasonable.
Copper‐Phthalocyanine‐based Covalent Organic Polymers for Electrocatalytic Ambient Ammonia Synthesis
Authors: Jiang Cheng , Xue Hairong , Wang Tao , He Jianping 
Published: February 2023

AbstractAccurate structure‐designed single‐metal‐atom doped covalent organic polymers (COPs) are expected to be one of the most promising nitrogen reduction reaction (NRR) electrocatalysts due to their adjustable metal center coordination environment.[1–3] However, pyrolysis of the material is often required to overcome the intrinsically low conductivity of COPs materials, resulting in undesirable structural changes.[4,5] Moreover, the ligand portion connected to the monomer can modulate the electronic state of the catalytic center of the monomer to achieve enhanced kinetics parts of the reaction.[6–8] To overcome this shortcoming, this study reports hybrid electrocatalysts formed by self‐assembling pristine covalent organic polymers (COPs) with oxidized carbon nanotubes (O‐CNT). The electrical conductivity of the hybridized COP/O‐CNT materials can be increased by the O‐CNT. The catalyst attains a FE of 26.8 % and a large NH3 yield rate of 12.3 ug−1 h−1 cm−2 at −0.3 V versus a reversible hydrogen electrode. DFT calculations show that the NRR process tends to choose alternation paths. Therefore, the synthesized PCuPc/O‐CNT as a stable, high‐efficiency NRR catalyst offers a valuable reference for single‐atom COPs electrocatalyst research in electrochemical nitrogen fixation.
Facile Synthesis of Tetraphenylethene (TPE)‐Based Fluorophores Derived by π‐Extended Systems: Opposite Mechanofluorochromism, Anti‐Counterfeiting and Bioimaging
Authors: Xiao Yufeng , Zheng Kaibo , Zhang Nuonuo , Wang Yanlan , Yan Jiaying , Wang Dong , Liu Xiang 
Published: February 2023

AbstractAlthough remarkable progresses are achieved in the design and development of the mono‐shift in photoluminescence for mechanofluorochromic materials, it is still a severe challenge to explore the opposite mechanofluorochromic materials with both blue‐ and red‐shifted photoluminescence. Herein, two unprecedented 4,5‐bis(TPE)‐1H‐imidazole fused pyridine or quinoline‐based fluorophores X‐1 and X‐2 were designed and synthesized, and X‐1 and X‐2, exhibit completely opposite mechanofluorochromic behavior. Under UV lamp, the color of pristine X‐1 changed from blue to green with reversible redshifted 27 nm in fluorescence emission spectra after ground, while the color of pristine X‐2 changed from red to yellow with reversible blue‐shifted 74 nm after ground. The detailed characterizations (including PXRD, SEM and DSC) confirmed that this opposite mechanofluorochromism was attributed to the transformation of order‐crystalline and amorphous states. The crystal structure analysis and theoretical calculation further explain that opposite mechanofluorochromic behavior take into account different π–π stacking mode by induced π‐extended systems. In addition, these TPE‐based fluorophores (X‐1 and X‐2) exhibited excellent bio‐compatibility and fluorescence properties for bio‐imaging, writable data storage and anti‐counterfeiting materials.
Bioinspired Design of an Uncharged Ambipolar Helical Scaffold To Achieve Efficient Solid‐State Proton Conduction
Authors: Aggarwal Himanshu , Gaikwad Pradip A. , Dahat Anjali , Narayan Ghosh Swapnendu , Mehra Palak , Paul Amit , Talukder Santanu , Srivastava Aasheesh 
Published: February 2023

AbstractThis work demonstrates highly efficient solid‐state proton conduction in helical organic scaffolds inspired by the biomolecule gramicidin A. The scaffold, 1, derived from a pyridine‐2,6‐dicarboxamide (PDC) residue adopts a helical conformation that is stabilized by a network of strong bifurcated intramolecular H‐bonds between the polar residues that align the inner (concave) face of the molecule, while the aromatic units in 1 are oriented outwards. As a result, the helix attains an ambipolar nature just like gramicidin A. Two different solid forms of 1 could be isolated: a yellow solid from high‐polarity solvents and an orange solid from low‐polarity solvents. Single‐crystal X‐ray diffraction (SCXRD) studies showed that in the former, molecules of 1 are stacked in a homochiral fashion, while in the latter heterochiral stacks of 1 were present. The yellow form exhibited an almost ∼300‐fold higher conductivity (of up to 0.12 mS cm−1 at 95 °C and 95 % relative humidity) than the orange form as a result of closer intermolecular proximity and lower activation energy of 0.098 eV, thus indicating a Grotthus mechanism of proton transport. This study establishes the key role of bioinspired design and controlled stereo‐organization of such discrete uncharged organic molecules in achieving efficient solid‐state proton conduction.
Systematic Potency and Property Assessment of VHL Ligands and Implications on PROTAC Design
Authors: Krieger Johannes , Sorrell Fiona J. , Wegener Ansgar A. , Leuthner Birgitta , Machrouhi‐Porcher Fouzia , Hecht Martin , Leibrock Eva M. , Müller Juliane E. , Eisert Jonathan , Hartung Ingo V. , Schlesiger Sarah 
Published: February 2023

AbstractHerein, we describe a systematic SAR‐ and SPR‐investigation of the peptidomimetic hydroxy‐proline based VHL‐ligand VH032, from which most to‐date published VHL‐targeting PROTACs have been derived. This study provides for the first time a consistent data set which allows for direct comparison of structural variations including those which were so far hidden in patent literature. The gained knowledge about improved VHL binders was used to design a small library of highly potent BRD4‐degraders comprising different VHL exit vectors. Newly designed degraders showed favorable molecular properties and significantly improved degradation potency compared to MZ1.
Using dynamic voltage frequency scaling and service‐level agreement to reduce energy consumption in cloud datacenters based on distance
Authors: Khatibi Arezoo , Khatibi Omid 
Published: February 2023

AbstractEnergy consumption in cloud is an important topic. Previous works have reduced energy consumption, but have not consider and optimal selection of servers in a datacenter. In our paper, we try to elicit optimal selection of servers in a datacenter. We will modify the architecture of the system and the proposed algorithm using service‐level agreement (SLA) for datacenter servers in this selection, we consider the distance between the servers and the job and if there is a violation of SLA, the migration of virtual machines (VMs) occurs. On the other hand, unnecessary migration of VMs increases energy consumption. So we provide an algorithm for migrating VMs, and because we need task scheduling to perform tasks in the cloud, we will also provide algorithms for tasks migrating. Energy consumption is important for us, we use dynamic voltage frequency scaling to reduce energy consumption. On the other hand, the selection of service providers is done in the SLA management, and these service providers are located on different datacenters, we consider the parameter of the distance to the service consumer in selecting the appropriate datacenter.
Cover cropping history affects cotton boll distribution, lint yields, and fiber quality
Authors: Billman Eric D. , Campbell B. Todd 
Published: February 2023

AbstractThere has been limited introduction of new cover crop species into cotton (Gossypium hirsutum L.) production within the last 30 years. Mounting evidence shows that traditional cover cropping species may be detrimental to cotton production, either by depleting soil fertility with crop removal, immobilizing minerals from high carbon residue, or excessive quantity of residue remaining at planting. The objective of this study was to determine the effects of growing a novel cover crop species, carinata (Brassica carinata A. Braun), as a winter annual cover crop for cotton rotation in the southeastern Coastal Plain. Over a 2‐year period, carinata, winter wheat (Triticum aestivum L.), and fallow covers were maintained over winter months, then rotated into cotton. Each year, seedcotton and lint yields were collected, along with subsamples for ginning and subsequent fiber quality analyses. Additionally, end‐of‐season plant mapping was conducted on plants from 1 m of row per plot to determine cover crop effects on boll formation, retention, and distribution, as well as canopy architecture. Results indicated that seedcotton and lint yield of cotton following carinata was greater than cotton following winter wheat, and lint yields of cotton following wheat were lower than cotton after fallow. Fiber quality was largely unaffected by preceding cover crop. End‐of‐season plant mapping indicated that cotton grown after carinata had more position 2 bolls, which correlated to greater lint yields. These results indicate that carinata can potentially serve as a new, more effective cover crop than winter wheat for cotton rotations in Coastal Plain soils.
The impact of ESG factors on financial efficiency: An empirical analysis for the selection of sustainable firm portfolios
Authors: Iazzolino Gianpaolo , Bruni Maria Elena , Veltri Stefania , Morea Donato , Baldissarro Giovanni 
Published: February 2023

AbstractEnvironmental, Social, and Governance (ESG) factors are increasingly at the center of corporate and investment decisions. In this context, the aim of the paper was to test whether ESG factors impact on financial efficiency of a sample of firms belonging to different European sectors. This study enriches the literature of the field through a multi‐sectoral analysis. The Data Envelopment Analysis was used as widely considered in empirical and financial studies. Research findings showed that ESGs impact on firm efficiency differently over sectors: some of them are more sensitive than others to ESG factors. Furthermore, for most sensitive sectors the risk‐return characteristics related to ESGs were represented in order to provide insights for investors aiming to construct efficient and sustainable firm portfolios to invest in.
Net gain: Low‐cost, trawl‐associated eDNA samplers upscale ecological assessment of marine demersal communities
Authors: Maiello Giulia , Talarico Lorenzo , Brodie Chris , Carpentieri Paolo , Sbrana Alice , Shum Peter , Mariani Stefano , Russo Tommaso 
Published: February 2023

AbstractMarine biodiversity stewardship requires costly and time‐consuming capture‐based monitoring techniques, which limit our understanding of the distribution and status of marine populations. Here, we reconstruct catch and demersal community composition in a set of 24 fishing sites in the central Tyrrhenian Sea by gathering environmental DNA (eDNA) aboard commercial bottom‐trawl fishing vessels. We collected genetic material from two sources: the water draining from the net after the end of hauling operations (“slush”), and custom‐made rolls of gauze tied to a hollow perforated sphere placed inside the fishing net (“metaprobe”). Species inventories were generated using a combination of fish‐specific (Tele02 12S) and universal metazoan (COI) molecular markers. DNA metabarcoding data recovered over 90% of the caught taxa and accurately reconstructed the overall structure of the assemblages of the examined sites, reflecting expected differences linked to major drivers of community structure in Mediterranean demersal ecosystems, such as depth, distance from the coast, and fishing effort. eDNA also returned a “biodiversity bonus” mostly consisting of pelagic species not catchable by bottom trawl but present in the surrounding environment. Overall, the “metaprobe” gauzes showed a greater biodiversity detection power as compared to “slush” water, both qualitatively and quantitatively, strengthening the idea that these low‐cost sampling devices can play a major role in upscaling the gathering of data on both catch composition and the broader ecological characteristics of marine communities sustaining trawling activities. This approach has the potential to drastically expand the reach of ecological monitoring, whereby fishing vessels operating across the oceans may serve as opportunistic scientific platforms to increase the strength and granularity of marine biodiversity data.
Towards Green Reductions in Bio‐Derived Solvents
Authors: Perrone Serena , Messa Francesco , Salomone Antonio 
Published: February 2023

AbstractThe hydrogenation processes, and all the reactions that formally add two hydrogen atoms to an unsaturated bond, are among the most used transformations in the manufacture of bulk and fine chemicals. Although their potential as powerful tool for the sustainable synthesis of organic compounds, hydrogenations, and more generally the reductions, have been typically carried out in volatile organic solvents deriving from petroleum; indeed, all studies and fascinating advances related to the catalysts’ activity or the reducing agents’ reactivity have been limited to such volatile and often toxic reaction media. In this review, recent advances in the reducing methodologies with an improved degree of sustainability have been described. In particular, a series of examples have been reported to highlight the chance to reduce an organic compound by using a benign solvent deriving from renewable sources, without waiving to the process efficiency and selectivity. Some important key points of green chemistry, such as the easiness of catalyst recovery or the simplicity of product isolation, have been considered in the choice of the described studies.
A dynamic variational multiscale method on unstructured meshes for stationary transport problems
Authors: Xu Zelu , Sahni Onkar 
Published: February 2023

SummaryThis paper presents a variational multiscale (VMS) based finite element method where the stabilization parameter is computed dynamically. The current dynamic procedure takes in a general structure/form of the stabilization parameter with unknown coefficients and computes them dynamically in a local fashion resulting in a dynamic VMS‐based finite element method. Thus, a static stabilization parameter with pre‐defined coefficients is not needed. A variational Germano identity (VGI) based local procedure suitable for unstructured meshes is developed to perform the dynamic computation in a local fashion. The local VGI based procedure is applied for each interior vertex in the mesh and unknown coefficients are first determined locally at each vertex, and subsequently, for each element a maximum value is taken over the vertices of the element. To make the current procedure practical, a coarser secondary solution is constructed from the primary coarse‐scale solution, which is done locally over a patch of elements around each interior vertex. Further, averaging steps are employed to make the local dynamic procedure robust. Currently, the new dynamic VMS formulation is applied to steady problems governed by the advection‐diffusion and incompressible Navier‐Stokes equations in both 1D and 2D to demonstrate its efficacy and effectiveness.
Construction of a three‐component regulatory network of transcribed ultraconserved regions for the identification of prognostic biomarkers in gastric cancer
Authors: Khalafiyan Anis , Emadi‐Baygi Modjtaba , Wolfien Markus , Salehzadeh‐Yazdi Ali , Nikpour Parvaneh 
Published: February 2023

AbstractAltered expression and functional roles of the transcribed ultraconserved regions (T‐UCRs), as genomic sequences with 100% conservation between the genomes of human, mouse, and rat, in the pathophysiology of neoplasms has already been investigated. Nevertheless, the relevance of the functions for T‐UCRs in gastric cancer (GC) is still the subject of inquiry. In the current study, we first used a genome‐wide profiling approach to analyze the expression of T‐UCRs in GC patients. Then, we constructed a three‐component regulatory network and investigated potential diagnostic and prognostic values of the T‐UCRs. The Cancer Genome Atlas Stomach Adenocarcinoma (TCGA‐STAD) dataset was used as a resource for the RNA‐sequencing data. FeatureCounts was utilized to quantify the number of reads mapped to each T‐UCR. Differential expression analysis was then conducted using DESeq2. In the following, interactions between T‐UCRs, microRNAs (miRNAs), and messenger RNAs (mRNAs) were combined into a three‐component network. Enrichment analyses were performed and a protein–protein interaction (PPI) network was constructed. The R Survival package was utilized to identify survival‐related significantly differentially expressed T‐UCRs (DET‐UCRs). Using an in‐house cohort of GC tissues, expression of two DET‐UCRs was furthermore experimentally verified. Our results showed that several T‐UCRs were dysregulated in TCGA‐STAD tumoral samples compared to nontumoral counterparts. The three‐component network was constructed which composed of DET‐UCRs, miRNAs, and mRNAs nodes. Functional enrichment and PPI network analyses revealed important enriched signaling pathways and gene ontologies such as “pathway in cancer” and regulation of cell proliferation and apoptosis. Five T‐UCRs were significantly correlated with the overall survival of GC patients. While no expression of uc.232 was observed in our in‐house cohort of GC tissues, uc.343 showed an increased expression, although not statistically significant, in gastric tumoral tissues. The constructed three‐component regulatory network of T‐UCRs in GC presents a comprehensive understanding of the underlying gene expression regulation processes involved in tumor development and can serve as a basis to investigate potential prognostic biomarkers and therapeutic targets.