bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis and characterization of degradation impurities of Flucloxacillin and Dicloxacillin
Authors: Pindi Santhosh Reddy , Reddy Aaramadaka Sunil Kumar , Gollapalli Venkateswara Rao , Sanasi Paul Douglas , Nandi Sukumar , Velugula Siva Rama Kasibabu , Chavakula Ramadas 
Published: January 2023

AbstractA series of degradation impurities of Flucloxacillin and Dicloxacillin were synthesized. The formation and a facile synthesis of each impurity were presented in detail, namely penicilloic acids of Dicloxacillin (3) (Ph.Eur. Impurity‐A), Dicloxacillin glycine analog (4), Dicloxacillin penilloic acids (5) (Ph.Eur. Impurity‐B), Dicloxacillin Pencillamide (6), N‐Acetylated penicilloic acid of Dicloxacillin (7), DCMICAA adduct of Dicloxacillin penicilloic acid (8), Flucloxacillin glycine analog (Ph.Eur. Impurity‐F) (9), penicilloic acids of Flucloxacillin (10), penilloic acids of Flucloxacillin (11), CFMICAA adduct of Flucloxacillin penicilloic acid (Flucloxacillin Ph.Eur. Impurity‐H) (12), Flucloxacillin Penicillamide (Flucloxacillin Ph.Eur. Impurity‐E) (13), and N‐Acetylated penicilloic acid of Flucloxacillin (14). These impurities are extensively characterized by various analytical techniques.
Comparison of Dynamic Contrast‐Enhanced MRI and Non‐Mono‐Exponential Model‐Based Diffusion‐Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics
Authors: Zhang Lan , Zhou Xin‐Xiang , Liu Lu , Liu Ao‐Yu , Zhao Wen‐Juan , Zhang Hong‐Xia , Zhu Yue‐Min , Kuai Zi‐Xiang 
Published: January 2023

BackgroundDynamic contrast‐enhanced (DCE) MRI and non‐mono‐exponential model‐based diffusion‐weighted imaging (NME‐DWI) that does not require contrast agent can both characterize breast cancer. However, which technique is superior remains unclear.PurposeTo compare the performances of DCE‐MRI, NME‐DWI and their combination as multiparametric MRI (MP‐MRI) in the prediction of breast cancer prognostic biomarkers and molecular subtypes based on radiomics.Study TypeProspective.PopulationA total of 477 female patients with 483 breast cancers (5‐fold cross‐validation: training/validation, 80%/20%).Field Strength/SequenceA 3.0 T/DCE‐MRI (6 dynamic frames) and NME‐DWI (13 b values).AssessmentAfter data preprocessing, high‐throughput features were extracted from each tumor volume of interest, and optimal features were selected using recursive feature elimination method. To identify ER+ vs. ER−, PR+ vs. PR−, HER2+ vs. HER2−, Ki‐67+ vs. Ki‐67−, luminal A/B vs. nonluminal A/B, and triple negative (TN) vs. non‐TN, the following models were implemented: random forest, adaptive boosting, support vector machine, linear discriminant analysis, and logistic regression.Statistical TestsStudent's t, chi‐square, and Fisher's exact tests were applied on clinical characteristics to confirm whether significant differences exist between different statuses (±) of prognostic biomarkers or molecular subtypes. The model performances were compared between the DCE‐MRI, NME‐DWI, and MP‐MRI datasets using the area under the receiver‐operating characteristic curve (AUC) and the DeLong test. P < 0.05 was considered significant.ResultsWith few exceptions, no significant differences (P = 0.062–0.984) were observed in the AUCs of models for six classification tasks between the DCE‐MRI (AUC = 0.62–0.87) and NME‐DWI (AUC = 0.62–0.91) datasets, while the model performances on the two imaging datasets were significantly poorer than on the MP‐MRI dataset (AUC = 0.68–0.93). Additionally, the random forest and adaptive boosting models (AUC = 0.62–0.93) outperformed other three models (AUC = 0.62–0.90).Data ConclusionNME‐DWI was comparable with DCE‐MRI in predictive performance and could be used as an alternative technique. Besides, MP‐MRI demonstrated significantly higher AUCs than either DCE‐MRI or NME‐DWI.Evidence Level2.Technical EfficacyStage 2.
Animal host range of mpox virus
Authors: Li Kangxin , Yuan Yupei , Jiang Lu , Liu Yuwen , Liu Yihan , Zhang Leiliang 
Published: January 2023

AbstractMpox is caused by the mpox virus, which belongs to the Orthopoxvirus genus and Poxviridae family. Animal hosts, such as African rodents, mice, prairie dogs, and non‐human primates, play important roles in the development and transmission of outbreaks. Laboratory animal infection experiments have demonstrated that some animals are susceptible to mpox virus. This review summarizes the current progress on the animal hosts for mpox virus. The surveillance of mpox virus in animal hosts will provide important insights into virus tracing, analysis of mutation evolutionary patterns, transmission mechanisms, and development of control measures.
Evaluation of biosynthesized silver nanoparticles effects on expression levels of virulence and biofilm‐related genes of multidrug‐resistantKlebsiella pneumoniaeisolates
Authors: Mousavi Seyed M. , Mousavi Seyed M. A. , Moeinizadeh Mostafa , Aghajanidelavar Mahshad , Rajabi Sajjad , Mirshekar Maryam 
Published: January 2023

AbstractThe emergence of multidrug‐resistant (MDR) strains ofKlebsiella pneumoniaeis associated with high morbidity and mortality due to limited treatment options. This study attempts to biologically synthesize silver nanoparticles (AgNPs) and investigate their effect on expression levels of virulence and biofilm‐related genes in clinically isolatedK. pneumoniae. In this study, biofilm formation ability, antibiotic resistance pattern, extended‐spectrum β‐lactamases (ESBLs), and carbapenemases production were investigated for 200 clinical isolates ofK. pneumoniaeusing phenotypic methods. Polymerase chain reaction (PCR) was used to detect virulence and biofilm‐related genes, ESBL‐encoding genes, and carbapenem resistance genes. AgNPs were synthesized using the bio‐reduction method. The antibacterial effects of AgNPs were investigated by microdilution broth. In addition, the cytotoxic effect of AgNPs on L929 fibroblast cell lines was determined. The effects of AgNPs onK. pneumoniaevirulence and biofilm‐related genes (fimH, rmpA, andmrkA) were determined using quantitative real‐time PCR. Thirty percent of the isolates produced a strong biofilm. The highest and lowest levels of resistance were observed against amoxicillin/clavulanic acid (95.4%) and tigecycline (96%), respectively. About 31% of isolates were considered positive for carbapenemases, and 75% of the isolates produced an ESBLs enzyme. Different frequencies of mentioned genes were observed. The synthesized AgNPs had a spherical morphology and varied in size. AgNPs inhibited the growth of MDRK. pneumoniaeat 128 µg/ml. In addition, AgNPs downregulated the expression offimH,rmpA, andmrkA genes by 10, 7, and 14‐fold, respectively (p < 0.05), also exerted no cytotoxic effect on L929 fibroblast cell lines. It was revealed that AgNPs lead to a decrease in expression levels of virulence and biofilm‐related genes; therefore, it was concluded that AgNPs had an excellent antibacterial effect on MDRK. pneumoniae.
Basin‐scale monthly rainfall forecasts with a data‐driven model using lagged global climate indices and future predicted rainfall of an adjacent basin
Authors: Lee Jeongwoo , Kim Chul‐Gyum , Lee Jeong Eun , Kim Nam Won , Kim Hyeonjun 
Published: January 2023

AbstractFuture long‐term rainfall forecasts are valuable for operating water supply facilities and managing unusual droughts. This study proposes a novel approach to forecast basin‐scale monthly rainfall from lagged global climate indices, antecedent historical rainfall data of a targeted basin, and forecasted rainfall data from a nearby basin using a data‐driven model. The approach is applied to the Han River basin and the Geum River basin, South Korea, for May and June, prone to drought occurrence. An artificial neural network (ANN), a widely used data‐driven model, was employed to build forecasting models for the study basins. Two types of ANN models were constructed: one uses predictors of the lagged climate indices and antecedent rainfall of a targeted basin that have been typically used in previous studies, and the other further uses the forecasted rainfall of an adjacent basin that was first attempted in this study by considering the strong concurrent relationship of monthly rainfall data between nearby basins. The optimal network architectures were determined through the Monte Carlo cross‐validation (MCCV) process in which repeated data subsampling for training datasets was carried out to reduce the output variance and obtain ensemble forecasts. The results show that the proposed ANN model in this study with input variables of the forecasted rainfall of the nearby basin and the lagged global climate indices and the past rainfall of the target basin provides better predictive performance than the model without using the adjacent basin's forecast rainfall. The categorical forecasting skill based on the proposed approach is good: the hit rates and Heidke skill scores ranged from 50.9 to 66.0% and 0.29 to 0.49, respectively. The results confirm that using rainfall forecasts of a nearby basin as an input variable can enhance the ANN model's ability to predict future monthly rainfall.
Optical Anomalies due to Volume Collective Modes of Plasmonic Metamaterials
Authors: Ben‐Haim Danielle , Ellenbogen Tal 
Published: January 2023

AbstractThe emergence of optical anomalies in 3D plasmonic metamaterials upon excitation of volume collective modes is studied. These modes engage a collective response of all the meta‐atoms across the volume of the structure and arise due to coupling of localized plasmonic modes with Bloch modes of the 3D lattice. Two types of volume collective modes are introduced; a reflective mode resilient to the plasmonic absorption, exhibiting reflection that approaches unity with extremely low loss, through a distinct high‐Q spectral locking of the response of all the constituent plasmonic resonators in the volume; in addition, a transmissive mode that supports the emergence of lattice matched scattered waves within the volume, leading to full transmission through a spectral transparency window. These attractive optical properties of the volume collective modes may lead to a breakthrough in the design of low‐loss and efficient 3D plasmonic metamaterials for novel linear and nonlinear photonic applications.
How power increases preference for experiential purchases but not for material purchases
Authors: Han Jerry J. , Smale Myungjin C. , Lee Jiyoung 
Published: January 2023

AbstractWhile recent research indicates that experiential purchases lead to greater happiness than material purchases (i.e., experiential advantage), we have a limited understanding of when and why consumers prefer experiential purchases. In this paper, we address this topic and find that consumers' feelings of power play a significant role in their preference for experiential purchases. Across four experimental studies, using multiple manipulations and stimuli, we demonstrate that feelings of high (vs. low) power lead to increased consumer preference for experiential, but not material, purchases. Mediation (Study 3) and moderation (Study 4) analyses revealed that this phenomenon is driven by greater expected happiness from experiential purchases for consumers feeling high (vs. low) power. We contribute to the experiential purchase literature by identifying consumer power as an important antecedent of consumers' preference for experiences and also add to the consumer power literature by documenting how perceived power affects consumer evaluations and decision‐making. Furthermore, our paper suggests that managers should target people in powerful positions or seek to facilitate feelings of greater power in potential customers when marketing experiential products.
Poly(acrylic acid)‐Assisted Intrafibrillar Mineralization of Type I Collagen: A Review
Authors: Chen Lei , Zeng Zhiyong , Li Wenbing 
Published: January 2023

AbstractThe mineralization of type I collagen is a biological process occurring in vertebrates by which some hard tissues such as bone and dentin are constructed. Due to the extensive clinical needs for bone defect repair and remineralization of mineral‐depleted dentin, biomimetic mineralization of collagen is attracting more and more interests. Synthetic analogs of noncollagenous proteins are necessary for directing the in vitro mineralization. In this paper, the function and mechanism of poly(acrylic acid) (PAA) in regulating the mineralization, especially intrafibrillar mineralization (IM) of collagen are reviewed. As two mineralization patterns (extrafibrillar and intrafibrillar) co‐exist in natural hard tissues, differences between them in terms of microstructure, biodegradation, cytocompatibility, osteoinduction in vitro, and performance in vivo are systematically compared. Then the roles of PAA in biomimetic collagen IM within one‐analog and two‐analog systems are discussed, respectively. Moreover, mineralization of some self‐mineralizable collagen matrices is described. Due to the interactions between collagen and PAA play a crucial role in the processes of collagen mineralization, some reference researches are also provided involving the collagen/PAA interactions in some other fields. Finally, this review is ended with an outlook for future potential improvements based on the collection of existing bottlenecks in this field.
Optimal decisions in a remanufacturing supply chain under money‐back guarantees
Authors: Tang Juan , Song An‐Lin , Liu Chang‐Yi , Liu Zhi 
Published: January 2023

AbstractThis study establishes a remanufacturing supply chain (RSC) consisting of a manufacturer and a retailer, in which the retailer offers a money‐back guarantee (MBG) with a full refund for consumers, and investigates the pricing decisions in four remanufacturing cases by considering the quality of returns. Our results show that controlling remanufacturing costs can enable both members to achieve a win–win situation in most remanufacturing cases. When the consumer's acceptance level for remanufactured products is low (high), a high return rate of non‐defective returns losses (benefits) the retailer's profit but does not losses the manufacturer's profit.
High‐gain miniaturized magnetoelectric dipole antenna array for millimeter‐wave applications
Authors: Wang Kaize , Sun Yurong , Meng Wenwen , Xu Juan 
Published: January 2023

AbstractIn this paper, a miniaturized high gain magnetoelectric dipole (MED) antenna array is proposed, which is composed of a one‐to‐two‐way substrate‐integrated waveguide E‐plane T‐type waveguide power divider as the feeding network. The MED antenna consists of a pair of mirror‐symmetrical E‐patches and a pair of vertical metallized vias. The size of the antenna array is 1.2λ0× 1.6λ0× 0.17λ0. A bandwidth of 29.3% (25.6–34.4 GHz) for S11 < −10 dB can be achieved and has unidirectional radiation performance in the operating frequency band. The peak gain of the antenna reaches 11 dBi, and the average gain can reach more than 10 dBi.
Component identification of subsurface food additives by spatially offset Raman spectroscopy
Authors: Liu Qiu‐Shi , Ma Ming‐Jiang , Lv Chong , Yang Guo‐Qing , Yang Yan‐Lei , Wang Jia‐Hao , Gao Zhi‐Xing , He Hong‐Yu , Zhang Xiao‐Hua , Li Yuan‐Peng , Zhao Bao‐Zhen 
Published: January 2023

AbstractSpatially offset Raman spectroscopy (SORS) is an important branch derived from conventional Raman spectroscopy. It has the characteristics to realize the concealed component identification covered by opaque and translucent media nondestructively and rapidly. This technology gradually plays an important role in basic and applied research of numerous areas. This paper focuses on the SORS potential application in food quality and safety inspection, and a SORS detection system has been setup. The ingredients of various concealed food additives have been identified by SORS and the optimum offset distance for detection has been obtained. Meanwhile, the identification effectiveness of the system for low‐concentration additives in real foods has also been evaluated.
Ultra‐miniaturized tunable slot‐based antenna design for 5G IoT applications
Authors: Hussain Rifaqat , Aljaloud Khaled , Alhuwimel Saad 
Published: January 2023

AbstractThis paper demonstrates a compact‐size folded slot‐based antenna suitable for internet‐of‐things (IoT) applications. The antenna is composed of a folded structure meandered slot loaded with varactor diode. The novel combination of the slot and varactor diode, reactively loading the slot, lead to highly miniaturized antenna. The presented antenna operates in dual frequency bands: from 730 to 965 MHz and 1250 to 1940 MHz. Continuous frequency sweep over the two bands is achieved by the use of a single varactor diode. Due to antenna compact size, it is highly suitable for 5G IoT applications. The total board dimensions of the proposed design are 27 mm × 27 mm.
Canonical or noncanonical? Structural plasticity of serine protease‐binding loops in Kunitz‐STI protease inhibitors
Authors: Guerra Yasel , Armijos‐Jaramillo Vinicio , Pons Tirso , Tejera Eduardo , Berry Colin 
Published: January 2023

AbstractThe Kunitz‐Soybean Trypsin Inhibitor (Kunitz‐STI) family is a large family of proteins with most of its members being protease inhibitors. The versatility of the inhibitory profile and the structural plasticity of these proteins, make this family a promising scaffold for designing new multifunctional proteins. Historically, Kunitz‐STI inhibitors have been classified as canonical serine protease inhibitors, but new inhibitors with novel inhibition mechanisms have been described in recent years. Different inhibition mechanisms could be the result of different evolutionary pathways. In the present work, we performed a structural analysis of all the crystallographic structures available for Kunitz‐STI inhibitors to characterize serine protease‐binding loop structural features and locations. Our study suggests a relationship between the conformation of serine protease‐binding loops and the inhibition mechanism, their location in the β‐trefoil fold, and the plant source of the inhibitors. The classical canonical inhibitors of this family are restricted to plants from the Fabales order and bind their targets via the β4–β5 loop, whereas serine protease‐binding loops in inhibitors from other plants lie mainly in the β5–β6 and β9–β10 loops. In addition, we found that the β5–β6 loop is used to inhibit two different families of serine proteases through a steric blockade inhibition mechanism. This work will help to change the general perception that all Kunitz‐STI inhibitors are canonical inhibitors and proteins with protease‐binding loops adopting noncanonical conformations are exceptions. Additionally, our results will help in the identification of protease‐binding loops in uncharacterized or newly discovered inhibitors, and in the design of multifunctional proteins.
The gonadotropins starting dose calculator, which can be adjusted the target number of oocytes and stimulation duration days to achieve individualized controlled ovarian stimulation in Japanese patients
Authors: Kobanawa Masato 
Published: January 2023

AbstractPurposeTo create a gonadotropin starting dose calculator for controlled ovarian stimulation, which can adjust the target number of oocytes and stimulation duration for each facility to achieve individualized controlled ovarian stimulation among the Japanese patients.MethodsThe patients received controlled ovarian stimulation using the gonadotropin‐releasing hormone antagonist protocol, and oocytes were retrieved. Using single regression analysis, we selected age, anti‐Müllerian hormone (AMH), and initial serum follicle‐stimulating hormone as variables to predict the number of oocytes retrieved per gonadotropin dose (oocyte sensitivity index). Each variable was then analyzed using backward stepwise multiple regression.ResultsAge and AMH were selected as predictive variables from the backward stepwise multiple regression, and we developed a multiple regression equation. We decomposed the equation as the number of oocytes retrieved/(gonadotropin starting dose × stimulation duration days) and created a calculation formula to predict the gonadotropin starting dose from the target number of oocytes and stimulation duration days.ConclusionsThis is the first study to develop an individualized dosing algorithm for gonadotropins among Japanese patients. Our calculator will improve controlled ovarian stimulation performance and enable national standardization by allowing all physicians, regardless of their years of experience, to determine the appropriate starting dose of gonadotropins equally.
Is it really safe to replace decabromodiphenyl ether (BDE209) with decabromodiphenyl ethane (DBDPE)?: A perspective from hepatotoxicity
Authors: Wang Yanting , Yang Yushun , Dang Chenyuan , Lu Bin , Luo Yin , Fu Jie 
Published: January 2023

AbstractIn this paper, the hepatocytotoxicity and aryl hydrocarbon receptor (AHR) activity of decabromodiphenyl ethane (DBDPE), decabromodiphenyl ether (BDE209) and other 18 analogues were evaluated in vitro using human normal liver cell L02. These dioxin‐like compounds showed differential hepatocytotoxicity (EC50 = 0.38–17.87 mg/L) and AHR activity (EROD activity = 4.53–46.35 U/μg). In silico study indicated the distance of π‐π bonds between the benzene ring of compounds and residue Phe234 of AHR played a key role in the binding of AHR, and the substituents on the benzene ring also influenced the activity. Combining molecular biology and bioomics, the comprehensive investigations on the hepatotoxic mechanisms have demonstrated the AHR signaling pathway was the key mediation mechanism for the hepatotoxicity of DBDPE/BDE209. The cytochrome P450s (CYP2 family) mediated formation of reactive oxygenated intermediates might be the dominant toxic mechanism, which could produce oxidative stress or cause genotoxicity. Although the experimental toxicity of DBDPE was smaller relative to BDE209, the health risk of DBDPE may be much greater than we expected, due to the high potential to form a variety of dioxin‐like intermediates by microbial oxidation of ethyl group. Therefore, whether it is really safe to replace BDE209 with DBDPE is a debatable question, and more ecotoxicological and health data are needed to clarify this issue.
Understanding preferences in infancy
Authors: Choi Youjung , Luo Yuyan 
Published: January 2023

AbstractA preference is defined as a dispositional state that helps explain why a person chooses one option over another. Preference understanding is a significant part of interpreting and predicting others' behavior, which can also help to guide social encounters, for instance, to initiate interactions and even form relationships based on shared preferences. Cognitive developmental research in the past several decades has revealed that infants have relatively sophisticated understandings about others' preferences, as part of investigations into how young children make sense of others' behavior in terms of mental states such as intentions, dispositions including preferences, and epistemic states. In recent years, research on early psychological knowledge expands to including infant understanding of social situations. As such, infants are also found to use their preference understandings in their social life. They treat favorably others who share their own preferences, and they prefer prosocial and similar others (e.g., those who speak their language). In reviewing these results, we point out future directions for research and conclude with further suggestions and recommendations.This article is categorized under:Cognitive Biology > Cognitive DevelopmentPsychology > Development and Aging