bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing Nigrosome‐1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging
Authors: Wang Chenglong , He Naying , Zhang Youmin , Li Yan , Huang Pei , Liu Yu , Jin Zhijia , Cheng Zenghui , Liu Yun , Wang Yida , Zhang Chengxiu , Haacke E. Mark , Chen Shengdi , Yan Fuhua , Yang Guang 
Published: January 2024

BackgroundNigrosome 1 (N1), the largest nigrosome region in the ventrolateral area of the substantia nigra pars compacta, is identifiable by the “N1 sign” in long echo time gradient echo MRI. The N1 sign's absence is a vital Parkinson's disease (PD) diagnostic marker. However, it is challenging to visualize and assess the N1 sign in clinical practice.PurposeTo automatically detect the presence or absence of the N1 sign from true susceptibility weighted imaging by using deep‐learning method.Study TypeProspective.Population/Subjects453 subjects, including 225 PD patients, 120 healthy controls (HCs), and 108 patients with other movement disorders, were prospectively recruited including 227 males and 226 females. They were divided into training, validation, and test cohorts of 289, 73, and 91 cases, respectively.Field Strength/Sequence3D gradient echo SWI sequence at 3T; 3D multiecho strategically acquired gradient echo imaging at 3T; NM‐sensitive 3D gradient echo sequence with MTC pulse at 3T.AssessmentA neuroradiologist with 5 years of experience manually delineated substantia nigra regions. Two raters with 2 and 36 years of experience assessed the N1 sign on true susceptibility weighted imaging (tSWI), QSM with high‐pass filter, and magnitude data combined with MTC data. We proposed NINet, a neural model, for automatic N1 sign identification in tSWI images.Statistical TestsWe compared the performance of NINet to the subjective reference standard using Receiver Operating Characteristic analyses, and a decision curve analysis assessed identification accuracy.ResultsNINet achieved an area under the curve (AUC) of 0.87 (CI: 0.76–0.89) in N1 sign identification, surpassing other models and neuroradiologists. NINet localized the putative N1 sign within tSWI images with 67.3% accuracy.Data ConclusionOur proposed NINet model's capability to determine the presence or absence of the N1 sign, along with its localization, holds promise for enhancing diagnostic accuracy when evaluating PD using MR images.Level of Evidence2Technical EfficacyStage 1
Pregnancy outcomes after frozen‐thawed embryo transfer in women with COVID‐19 history: A prospective cohort study
Authors: Huang Jialyu , Liu Yuxin , Wang Jiawei , Xu Dingfei , Huang Zhihui , Li Mengxi , Huang Lingling , Fan Lu , Liu Peipei , Xie Qiqi , Li Zengming , Wu Qiongfang , Lin Jiaying , Xia Leizhen , Tian Lifeng 
Published: January 2024

AbstractThe clinical effect of Coronavirus disease 2019 (COVID‐19) on endometrial receptivity and embryo implantation remains unclear. Herein, we aim to investigate whether a COVID‐19 history adversely affect female pregnancy outcomes after frozen‐thawed embryo transfer (FET). This prospective cohort study enrolled 230 women who underwent FET cycles from December 2022 to April 2023 in an academic fertility center. Based on the history of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection before FET, women were divided into the infected group (n = 136) and the control group (n = 94). The primary outcome was the clinical pregnancy rate per cycle. Multivariate logistic regression analysis was conducted to adjust for potential confounders, while subgroup analysis and restricted cubic splines were used to depict the effect of postinfection time interval on FET. The results showed that the clinical pregnancy rate was 59.6% in the infected group and 63.9% in the control group (p = 0.513). Similarly, the two groups were comparable in the rates of biochemical pregnancy (69.1% vs. 76.6%; p = 0.214) and embryo implantation (51.7% vs. 54.5%; p = 0.628). After adjustment, the nonsignificant association remained between prior infection and clinical pregnancy (OR = 0.78, 95% CI: 0.42–1.46). However, the odds for clinical pregnancy were significantly lower in the ≤30 days subgroup (OR = 0.15, 95% CI: 0.03–0.77), while no statistical significance was detected for 31–60 days and >60 days subgroups compared with the uninfected women. In conclusion, our findings suggested that SARS‐CoV‐2 infection in women had no significant effect on subsequent FET treatment overall, but pregnancy rates tended to be decreased if vitrified‐thawed embryos were transferred within 30 days after infection. A 1‐month postponement should be rationally recommended, while further studies with larger sample groups and longer follow‐up periods are warranted for confirmation.
Novel serum biomarker of Golgi protein 73 for the diagnosis of clinically significant portal hypertension in patients with compensated cirrhosis
Authors: Liu Shanghao , Ma Jianzhong , Chen Ping , Liu Shirong , Guo Ying , Tan Mingjie , Guo Xiaoqing , Feng Yinong , Wang Qinghui , Li Wenhua , Yang Chengchen , Gao Bo , Hua Yongli , Liu Ning , Song Haolin , He Ruiling , Wang Ruiying , Gao Qi , Liu Chuan , Qi Xiaolong 
Published: January 2024

AbstractHepatic venous pressure gradient (HVPG) is the gold standard for evaluating clinically significant portal hypertension (CSPH). However, reliable noninvasive methods are limited. Our study aims to investigate the diagnostic value of serum Golgi protein 73 (GP73) for CSPH in patients with compensated cirrhosis. The study enrolled 262 consecutive patients with compensated cirrhosis from three centers in China from February 2021 to September 2023, who underwent both serum GP73 tests and HVPG measurements. CSPH was defined as HVPG ≥ 10 mmHg. Diagnostic accuracy was evaluated using the areas under the receiver operating characteristic curve (AUC). The prevalence of CSPH was 56.9% (n = 149). There were significant differences between the CSPH and non‐CSPH groups in the median serum GP73 level (126.8 vs. 73.1 ng/mL, p < 0.001). GP73 level showed a significant positive linear correlation with HVPG (r = 0.459, p < 0.001). The AUC for the diagnosis of CSPH using serum GP73 alone was 0.75 (95% confidence interval [CI] 0.68–0.81). Multivariate logistic regression analysis determined that the levels of GP73, platelets and international normalized ratio were independently associated with CSPH. The combination of these three markers was termed “IP73” score with an AUC value of 0.85 (95% CI 0.80–0.89) for CSPH. Using 0 as a cut‐off value, the specificity and sensitivity of IP73 score were 77.9% and 81.9%, respectively. The IP73 score offers a novel, simple and noninvasive method of assessing CSPH in patients with compensated cirrhosis. A cut‐off value of the IP73 score at 0 can distinguish patients with or without CSPH.
Role of chromium reductases, antioxidants, and biosorption against oxidative damage of metals by Bacillus cereus
Authors: Wani Parvaze A. , Olusebi Yusuff K. , Wani Uzma , Rafi Nusrat , Khan Mohd Sajjad Ahmad 
Published: January 2024

AbstractCurrent research was performed to look for the performance of Bacillus cereus PY3 for metal detoxification. Strain PY3 was recognized as B. cereus using 16 S rRNA. Higher rate of removal of Zn and Cr (VI) by PY3 was obtained between pH 6–8 and 100–500 µg/mL in 24 h. Highest removal of Cr6+ by strain PY3 was achieved at acidic, neutral, and alkaline atmosphere, 100–300 µg Cr6+/mL and 25–35°C. Supernatant of PY3 detoxified Cr6+ into Cr3+ then cell pellet (debris) adsorbed them. The mechanism of metal removal was due to the release of cytolic extracts. Release of antioxidants and bio‐film played a protective role against cell damage. Metals increased antioxidants and bio‐film formation. SEM images showed the smooth external structure of PY3 when cells were exposed to metals thus confirming the role of cells for detoxification. Results Above facts conclude that PY3 can remove metallic pollution in polluted soil.
Size‐dependent community patterns differ between microbial eukaryotes and bacteria in a permafrost lake–river–sea continuum
Authors: Blais Marie‐Amélie , Matveev Alex , Lovejoy Connie , Vincent Warwick F. 
Published: January 2024

AbstractMicrobial communities play a crucial role in ecosystem functioning, with contributions that can vary among taxonomic domains and size fractions. However, microbial assembly processes for bacteria and eukaryotes are seldom characterized together using size fractionation, especially in flowing waters. Here, we used amplicon sequencing combined with physicochemical measurements to determine how size fractionated (small fraction 0.22–3 μm; large fraction > 3 μm) community structure and diversity varied over a subarctic river continuum. We sampled the Sheldrake River, a 25 km river flowing through degrading discontinuous permafrost, from its lacustrine source through subarctic forest shrub tundra to its discharge plume in eastern Hudson Bay (Nunavik, Canada). Microbial community structure differed by size fraction and among habitats, with differences in the variables potentially driving community structure among size fractions and microbial domains. For the small size fraction, colored dissolved organic matter was a significant covariate of community variation for both bacteria and eukaryotes, consistent with the influence of landscape gradients. There were contrasting diversity patterns along the lake–river transect between bacterial size fractions. An abundance‐based approach indicated that for all communities, assembly processes were dominated by homogeneous selection, while an incidence‐based method showed dominance of heterogeneous selection for bacteria and homogenizing dispersal for microbial eukaryotes. Our findings show how different components of riverine microbial communities can have divergent patterns along the downstream continuum to the sea.
Augmented reality marketing and consumer‒brand relationships: How closeness drives brand love
Authors: Rauschnabel Philipp A. , Hüttl‐Maack Verena , Ahuvia Aaron C. , Schein Katrin E. 
Published: January 2024

AbstractMarketers use augmented reality (AR) to place virtual brand‐related information into a consumer's physical context. Grounded in the literature on AR, brand love, metaphor theory, and closeness as interpreted by the neural theory of language, the authors theorize that branded AR content can reduce the perceived physical, spatial distance between a consumer and a brand. This perceived closeness subsequently drives the closeness of the emotional relationship in the form of brand love. Two empirical studies validate this framework. Study 1 shows that using an AR app (vs. non‐AR) increases the perceived physical closeness of the brand, which in turn drives brand love (i.e., relationship closeness). Study 2 replicates this finding in a pre‐/post‐use design. Here, high levels of local presence (i.e., the extent to which consumers perceive a brand as actually being present in their physical environment) drive perceived physical closeness, which leads to brand love. We also find that AR's power to generate brand love increases when the consumer is already familiar with the brand. We discuss managerial implications for AR marketing today and in a metaverse future in which AR content might be prevalent in consumers' everyday perceptions of the real world.
Understanding crowding perceptions and their impact on place experience: Insights from a mixed‐methods study
Authors: Sanz‐Blas Silvia , Buzova Daniela , Garrigos‐Simon Fernando J. 
Published: January 2024

AbstractThe existing research on the impact of crowding on visitors' experiences has yielded mixed results, mainly due to inadequate conceptualization and measurement of the phenomenon. To address this issue, we adopted a mixed‐methods approach. We first conducted a qualitative study (Study 1, focus group based) to understand (i) how consumers perceive crowding at leisure places, (ii) the sources of crowding (spatial or social), and (iii) its effects on their experiences and future behaviors. For Study 2 we collected quantitative data through a survey (n = 537 respondents) to estimate the association between objective and subjective measures of crowding, the relative contribution of human and spatial crowding to visitors' overall crowding perceptions and its impact on satisfaction and behavioral intentions. The results indicated there is a weak association between objective and perceived human crowding, which makes subjective measures more appropriate for assessing crowdedness. A formative two‐dimensional (human and spatial) conceptualization of crowding more adequately captures visitors' perceptions. The influence of each dimension is context‐dependent, such that human crowding is more problematic for visitors to monuments, while cruise ship tourists are less tolerant of spatial crowding. The findings also revealed that crowding negatively affects visitors' satisfaction, while its impact on behavioral intentions is mostly nonsignificant for cruise ship tourists.
Key factors influencing knowledge acquisition through game‐based learning
Authors: Calza‐Perez Mauro , Perez‐Ruiz Pilar , Enri‐Peiró Sandra , Martínez‐Climent Carla , Sánchez‐García Javier 
Published: January 2024

AbstractThis research enriches the current understanding of digital marketing knowledge acquisition through game‐based learning (GBL). The study is based on a sample of 476 participants who provided data before and after playing The Ecommerce Game(™). In this serious game, players must optimize the conversion rate of an e‐commerce venture. Data on key variables measuring players' digital marketing knowledge were collected. Before playing the game, participants reported on their perceived ease of use, perceived usefulness, and attitude. After the game, participants' knowledge, motivation, enjoyment, and concentration were measured. The purpose of this study was to determine the positive impact of GBL on the professional development of participants. Participants reported that the skills acquired in GBL improved their professional performance. Thus, the results suggest that acceptance of a game can be an effective tool for players to acquire knowledge of digital marketing and e‐commerce. The motivation from gameplay was significant in aiding participants' learning experiences. Encouragingly, participants expressed a willingness to replay the game, emphasizing the enjoyableness of the learning process.
Carrier screening for spinal muscular atrophy in 22913 Chinese reproductive age women
Authors: Zhang Lijun , Mo Junluan , Zhou Lu , Xu Xiaoxin , Xu Zhiyong , Zhang Lei , Wu Weiqing 
Published: January 2024

AbstractBackgroundTo determine the carrier frequency of, and evaluate a carrier screening program for, spinal muscular atrophy (SMA) in reproductive age women in Shenzhen area.MethodsA staged screening procedure was used to perform carrier screening for SMA in 22,913 Chinese reproductive age women between 2019 and 2022 in Shenzhen area of China. First, the copy number of exon 7 in the SMN1 gene were detected in women of reproductive age using real‐time quantitative polymerase chain reaction. If SMA carriers were detected, their spouses were then recommended to test. Prenatal diagnosis was carried out in couples who were both carriers.ResultsA total of 389 women were found to be SMA carriers (1.70%, 95% CI: 1.53%–1.87%), indicating the carrier prevalence was approximately 1:59. Despite the proportion of nonpregnant women increased from 37.96% in 2019 to 58.18% in 2022 (p < 0.05) among the 22,913 reproductive age women, the recall rate of spouses was still not high (62.21%, 95% CI: 57.39%–67.03%). Eight partners were found to be SMA carriers and two fetuses were determined to have SMA with no copies of the SMN1 gene.ConclusionAlthough the acceptability and awareness of SMA carrier screening in Chinese population has increased in recent years, it still fails to reach the ideal expectation. Our experience may provide a basis for and facilitate the popularization of SMA carrier screening in Shenzhen area.
Urine and Dried Blood Spots From Children and Pregnant Women Reveal Phytochemicals, Amino Acids, and Carnitine Metabolites as Cowpea Consumption Biomarkers
Authors: Tipton Madison , Baxter Bridget A. , Pfluger Brigitte A. , Sayre‐Chavez Brooke , Muñoz‐Amatriaín María , Broeckling Corey D. , Shani Issah , Steiner‐Asiedu Matilda , Manary Mark , Ryan Elizabeth P. 
Published: January 2024

ScopeLegumes consumption has been proven to promote health across the lifespan; cowpeas have demonstrated efficacy in combating childhood malnutrition and growth faltering, with an estimated malnutrition prevalence of 35.6% of children in Ghana. This cowpea feeding study aimed to identify a suite of metabolic consumption biomarkers in children and adults.Methods and ResultsUrine and dried blood spots (DBS) from 24 children (9‐21 months) and 21 pregnant women (>18 years) in Northern Ghana are collected before and after dose‐escalated consumption of four cowpea varieties for 15 days. Untargeted metabolomics identified significant increases in amino acids, phytochemicals, and lipids. The carnitine metabolism pathway is represented by 137 urine and 43 DBS metabolites, with significant changes to tiglylcarnitine and acetylcarnitine. Additional noteworthy candidate biomarkers are mansouramycin C, N‐acetylalliin, proline betaine, N2, N5‐diacetylornithine, S‐methylcysteine, S‐methylcysteine sulfoxide, and cis‐urocanate. S‐methylcysteine and S‐methylcysteine sulfoxide are targeted and quantified in urine.ConclusionThis feeding study for cowpea biomarkers supports the utility of a suite of key metabolites classified as amino acids, lipids, and phytochemicals for dietary legume and cowpea‐specific food exposures of global health importance.
An improved error cancellation method for high speed FMCW radar based on FPGA platform
Authors: Han Shuhuan , Yang Yanxi , Zhang Xinyu , Li Xinjie 
Published: January 2024

AbstractTarget detection of frequency‐modulated continuous wave radar has the problems of high noise and low detection accuracy. The reason is due to the influence of internal hardware and external environment. In response to this issue, this article uses the field programmable gate array platform to perform frequency modulation on the radar module, time‐frequency conversion, autoregression moving average model, inverse proportion function compensation, and frequency domain selection processing on the intermediate frequency in‐phase signals collected by the oscilloscope. The algorithm proposed in this article could effectively reduce noise and system errors. Compared with traditional methods before filtering and variational mode decomposition Hilbert–Huang Transform algorithm, the effective target detection rate of this method is improved by 50%.
Circularly polarized metasurface antenna based on characteristic mode analysis for microwave energy harvesting
Authors: Hui Weihua , Guo Yao , Zhao Xiaopeng 
Published: January 2024

AbstractIn this paper, a circularly polarized metasurface antenna for microwave energy harvesting (MEH) is proposed. First, a 4 × 4 metasurface is analyzed and integrated with the microstrip slot based on characteristic mode analysis for broadband, low profile, and high gain metasurface antenna. The measured results show that the impedance bandwidth of the metasurface antenna is 1.82 GHz, the 3 dB axial ratio bandwidth is 0.96 GHz. Subsequently, a wideband rectifier for C‐band is fabricated and measured according complex impedance compression theory. The frequency of efficiency >50% is from 5.1 to 6.3 GHz with 17 dBm input power. Finally, the novel antenna and rectifier are connected as rectenna for MEH, which shows great potential due to the tunability of the polarization mode (right‐handed CP [RHCP]/left‐handed CP [LHCP]) and the flexibility of the structure.
Deeper: A shared liquidity decentralized exchange design for low trading volume tokens to enhance average liquidity
Authors: Singh Srisht Fateh , Michalopoulos Panagiotis , Veneris Andreas 
Published: January 2024

AbstractThis paper presents Deeper, a design for a decentralized exchange that enhances liquidity via reserve sharing. By doing this, it addresses the problem of shallow liquidity in low trading volume token pairs. Shallow liquidity impairs the functioning of on‐chain markets by creating room for unwanted phenomena such as high slippage and sandwich attacks. Deeper solves this by allowing liquidity providers of multiple trading pairs against a common token to share liquidity. This is achieved by creating a common reserve pool for the shared token that is accessible by each trading pair. Independent from the shared liquidity, providers are free to add liquidity to individual token pairs without any restriction. The trading between one token pair does not affect the price of other token pairs even though the reserve of the shared token changes. The proposed design is an extension of concentrated liquidity automated market maker DEXs that is simple enough to be implemented on smart contracts. This is demonstrated by providing a template for a hook‐based smart contract that adds our custom functionality to Uniswap V4. Experiments on historical prices show that for a batch consisting of eight trading pairs, Deeper enhances liquidity by over 2.6–
. The enhancement in liquidity can be increased further by increasing the participating tokens in the shared pool. While providing shared liquidity, liquidity providers should be cautious of certain risks and pitfalls, which are described. Overall, Deeper enables the creation of fair markets for low trading volume token pairs.
The effect of metacognition and self‐directed learning readiness on learning performance of nursing students in online practice classes during the COVID‐19 pandemic period
Authors: Kim Sanghee 
Published: January 2024

AbstractAimThis study was a descriptive correlation investigation to determine the effects of metacognition and self‐directed learning readiness on learning performance of nursing students in online practice classes during the COVID‐19 pandemic.Design and MethodsIn this descriptive cross‐sectional study, 135 subjects were randomly selected from junior students of one university in South Korea.ResultsIn this study, metacognitive knowledge in nursing students showed a positive relationship with subjective learning performance (r = 0.34, p = 0.002) and objective learning performance (r = 0.38, p = 0.016). Metacognitive control in nursing students also showed a positive relationship with subjective learning performance (r = 0.37, p = 0.001) and objective learning performance (r = 0.41, p < 0.001). Self‐directed learning readiness in nursing students showed a positive relationship with subjective learning performance (r = 0.38, p = 0.011) and objective learning performance (r = 0.40, p < 0.001).ConclusionFor effective online practical education, nursing students' internal characteristics of metacognition and self‐directed learning should be identified in advance, and schools should strive to help nursing students' learning performance by developing and applying education systems or contents.
Optimal control and zero‐sum game subject to differential equations with Liu processes and random matrices
Authors: Chen Xin , Zhu Yuanguo 
Published: January 2024

AbstractThis paper presents a differential equation including both random matrices and a Liu process. Then we demonstrate that the solution to this equation exists and is unique. Under the framework of chance theory, problems of optimal control and two‐person zero‐sum game subject to differential equations are considered. An equation of optimality is provided for solving a problem of optimal control. Then equilibrium equations are proposed to identify the saddle‐point of a two‐person zero‐sum game problem. As an extension, we generalize the obtained results to the problems subject to differential equations including both random matrices and multiple Liu processes. Finally, we utilize the acquired theoretical results to analyze a portfolio selection game problem.