bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of rapid fecal calprotectin assay using particle enhanced turbidimetric immunoassay for inflammatory bowel disease
Authors: Oka Akihiko , Kawashima Kousaku , Kishimoto Kenichi , Kotani Satoshi , Fukunaga Mai , Fukuba Nobuhiko , Mishima Yoshiyuki , Oshima Naoki , Ishimura Norihisa , Awoniyi Muyiwa , Ishihara Shunji 
Published: January 2024

AbstractFecal calprotectin (FC) is a promising biomarker for diagnosis and treatment of inflammatory bowel disease, ulcerative colitis (UC), and Crohn’s disease. An enzyme immunoassay (EIA) is widely used for FC detection, though the considerable lag time, up to several days, causes clinical management delay. This study was performed to examine the new rapid kit fCAL-turbo, which is based on a particle-enhanced turbidimetric immunoassay (15 min), by comparing FC values with other EIAs (EliA, PhiCal, Bühlmann) and endoscopic scores. Using 94 samples, fCAL-turbo showed strong significant positive correlations with the other kits (Spearman’s r = 0.9178–0.9886). Of 74 UC patients, 69 underwent an endoscopy and fCAL-turbo reflected endoscopic activity with a moderate correlation with Mayo endoscopic subscore (MES) (r = 0.6945, others r = 0.6682–0.7013). Receiver operating characteristic analyses based on MES 0 versus 1–3 showed a similar efficacy as compared to the other kits (cut-off and area under the curve: 89.70 µg/g and 0.8592, respectively, others 62.35–138.4 µg/g and 0.8280–0.8611, respectively). Furthermore, multiple regression analysis confirmed that fCAL-turbo results significantly contributed to prediction of MES 0 with a higher t-value as compared to the other biomarkers. fCAL-turbo showed strong correlations with the other kits and also demonstrated excellent performance for predicting endoscopic remission of UC.
Development and validation of web-based nomograms for predicting survival status in patients with intrahepatic cholangiocarcinoma depending on the surgical status: a SEER database analysis
Authors: Liu Yao-Ge , Jiang Shi-Tao , Zhang Jun-Wei , Zhang Lei , Zhao Hai-Tao , Sang Xin-Ting , Lu Xin , Xu Yi-Yao 
Published: January 2024

AbstractThis study aimed to develop and validate prognostic nomograms that can estimate the probability of 1-, 3- and 5-year overall survival (OS) as well as cancer-specific survival (CSS) for Intrahepatic cholangiocarcinoma (ICCA) patients. Clinical data of 1446 patients diagnosed with ICCA between 2010 and 2017 from the Surveillance, Epidemiology, and End Results (SEER) database were analyzed. In both the OS and the CSS group, the training cohort and validation cohort were divided into a 7:3 ratio. Age, sex, AJCC T stage, AJCC N stage, AJCC M stage, surgical status, and tumor grade were selected as independent prognostic risk factors to build the nomograms. To compare the efficacy of predicting 1-, 3-, and 5-year OS and CSS rates of the nomogram with the 8th edition of the American Joint Committee on Cancer (AJCC) staging system, we evaluated the Harrell’s index of concordance (C-index), area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) in both cohorts. The results showed the nomogram for 1-, 3-, and 5-year OS and CSS prediction performed better than the AJCC staging system. In the subgroup analysis for patients could not receive surgery as the primary treatment. We developed two nomograms for predicting the 1-, and 2-year OS and CSS rates following the same analysis procedure. Results indicate that the performance of both nomograms, which contained sex, AJCC T stage, AJCC M stage, chemotherapy, and tumor grade and prognostic factors, was also superior to the AJCC staging system. Meanwhile, four dynamic network-based nomograms were published. The survival analysis showed the survival rate of patients classified as high-risk based on the nomogram score was significantly lower compared to those categorized as low-risk (P < 0.0001). Finally, accurate and convenient nomograms were established to assist clinicians in making more personalized prognosis predictions for ICCA patients.
Environmental and health values, beliefs, norms and compatibility on intention to adopt hydroponic farming among unemployed youth
Authors: Gao Jingzu , Al Mamun Abdullah , Yang Qing , Rahman Muhammad Khalilur , Masud Muhammad Mehedi 
Published: January 2024

AbstractThe objective of this study was to examine the relationships among environmental and health values, ecological worldview, perception of consequences, the ascription of responsibility, and personal norms in the context of the value-belief-norm (VBN) model and how compatibility influences the intentions and behaviors of Chinese youth regarding the use of hydroponic farming technology. The study employed a survey questionnaire to collect data from the target population. The sample size was determined through a power analysis to ensure sufficient statistical power for the analysis. A total of 727 potential respondents' responses were analyzed using SmartPLS (4.0) to perform structural equation modeling. The results confirmed that environmental, emotional, and health values significantly associated with individuals' ecological worldviews. There was an interconnection between ecological worldview, awareness of consequences, and ascription of responsibility, and all three significantly influenced personal norms. The key determinants of the intentions and behaviors to adopt hydroponic farming technology are personal norms and technology compatibility. Therefore, to promote and motivate the interest and intention to use hydroponics among unemployed youth, government agencies, and related companies should focus on providing technology-related and pro-environmental information and training. This is expected to increase the acceptance and awareness of hydroponics among this group, thus increasing the adoption rate of hydroponics.
How much we know about precipitation climatology over Tianshan Mountains––the Central Asian water tower
Authors: Jin Chunhan , Wang Bin , Cheng Tat Fan , Dai Lun , Wang Tianyi 
Published: January 2024

AbstractTianshan Mountains are the headwater regions for the central Asia rivers, providing water resources for ecological protection and economic development in semiarid regions. Due to scarce observations, the hydroclimatic characteristics of the Tianshan Mountains Precipitation (TMP) measured over highland (>1500 m) regions remain to be revealed. Here, we show the TMP belongs to a monsoon-like climate regime, with a distinct annual range and a high ratio of summer-to-yearly rainfall, and exhibits six abrupt changes, dividing the annual cycle into six precipitation sub-seasons. Over the past 60 years, the yearly TMP has significantly increased by 17.3%, with a dramatic increase in winter (135.7%). The TMP displays a significant 40-day climatological intra-seasonal oscillation (CISO) in summer. The TMP CISO’s wet phase results from the confrontation of the eastward propagating mid-tropospheric Balkhash Lake Low and the southward migrating Mongolian High. The sudden changes in the two climatological circulation systems trigger TMP’s changes, shaping the 40-day CISO. Emerging scientific issues are also discussed.
A modular chemoenzymatic cascade strategy for the structure-customized assembly of ganglioside analogs
Authors: Jin Xuefeng , Cheng Hanchao , Chen Xiaohui , Cao Xuefeng , Xiao Cong , Ding Fengling , Qu Huirong , Wang Peng George , Feng Yan , Yang Guang-Yu 
Published: January 2024

AbstractGangliosides play vital biological regulatory roles and are associated with neurological system diseases, malignancies, and immune deficiencies. They have received extensive attention in developing targeted drugs and diagnostic markers. However, it is difficult to obtain enough structurally defined gangliosides and analogs especially at an industrial-relevant scale, which prevent exploring structure-activity relationships and identifying drug ingredients. Here, we report a highly modular chemoenzymatic cascade assembly (MOCECA) strategy for customized and large-scale synthesis of ganglioside analogs with various glycan and ceramide epitopes. We typically accessed five gangliosides with therapeutic promising and systematically prepared ten GM1 analogs with diverse ceramides. Through further process amplification, we achieved industrial production of ganglioside GM1 in the form of modular assembly at hectogram scale. Using MOCECA-synthesized GM1 analogs, we found unique ceramide modifications on GM1 could enhance the ability to promote neurite outgrowth. By comparing the structures with synthetic analogs, we further resolved the problem of contradicting descriptions for GM1 components in different pharmaceutical documents by reinterpreting the exact two-component structures of commercialized GM1 drugs. Because of its applicability and stability, the MOCECA strategy can be extended to prepare other glycosphingolipid structures, which may pave the way for developing new glycolipid drugs.
Research on assessment of air traffic control operation quality based on track data
Authors: Sun Fanrong , Zhang Yue , Chen Yujun , Xu Xueji 
Published: January 2024

AbstractEvaluating the quality of air traffic control operations is crucial for enhancing airspace management. Thus, this paper proposes a data mining approach for conducting a comprehensive assessment of control operation quality (COQ) in increasingly complex operation environments. First, the authors establish a COQ evaluation index system that combines both subjective and objective measures. Key index parameters are determined using wavelet filtering and interval estimation techniques on the basis of data mining results. Second, the authors apply an entropy‐weighted cloud model to label data samples and classify COQ into ‘excellent’, ‘good’, and ‘fair’ levels. Finally, the authors establish an support vector machine‐based COQ assessment model using XGBoost feature combinations to verify the practical feasibility and scientific validity of their approach.
Experimental validation of a low‐voltage regulator model—A case study of a Maltese low‐voltage feeder
Authors: Licari John , Staines Cyril Spiteri , Micallef Alexander , Hoppert Stefan 
Published: January 2024

AbstractSolar photovoltaics in Malta have increased substantially over the years, both at large scale and residential scale. The present installed capacity is already having a negative impact on Malta's’ grid infrastructure, causing problems due to the reverse power flows (resulting from oversupply) and related issues such as voltage rise. This paper considers the integration of a low voltage regulator in a low voltage feeder in a semi‐rural area in Malta. A thyristor‐controlled transformer‐based low voltage regulator was modelled and simulated in MATLAB/Simulink using the PLECS blockset. Experimental results were also obtained via measurements of the voltage profiles at 70% of the actual low voltage feeder that showed several instances of over and under voltage events. The outputs obtained from the simulation model strongly agreed with those obtained from the field testing thereby validating the simulation models that were developed in this study. Results show that the voltage on the feeder was successfully regulated to around the nominal voltage of 240 V. The regulator failed to correct the voltage to within ±10% in one occurrence where the load demand and hence the voltage drop was too high.
Terahertz nondestructive stratigraphic reconstruction of paper stacks based on adaptive sparse deconvolution
Authors: Zhai M. , Locquet A. , Citrin D.S. 
Published: January 2024

Characterizing the number of sheets in a stack of paper typically involves mechanical separation of the individual sheets. Here, we explore an nondestructive method that can be applied to the intact paper stack. Namely, terahertz time-of-flight tomography, together with post signal-processing technique sparse deconvolution based on a two-step iterative shrinkage-thresholding algorithm (SD/TWIST), is employed to reconstruct the stratigraphy of stacks of sheets of paper with multilayered structure in a nondestructive and noncontact manner. The double-Gaussian mixture model (DGMM) is also incorporated to suppress dispersion in the reflected THz echoes. The effectiveness and accuracy of the proposed adaptive sparse-deconvolution method are verified experimentally and numerically. Compared with the commonly used frequency wavelet-domain deconvolution (FWDD) method and previous implementations of sparse deconvolution based on an iterative-shrinkage and thresholding algorithm (SD/IST), the proposed sparse-deconvolution approach can provide a clearer and rapid stratigraphic reconstruction of the paper stacks studied, while ensuring accurate thickness information for each paper sheet in the presence of noise, revealing the potential usage of real-time THz tomographic-image processing.
1983–2023 – Vierzig Jahre Helicobacter pylori – und nun?
Authors: Schulz Christian , Schütte Kerstin , Link Alexander , Malfertheiner Peter 
Published: January 2024

ZusammenfassungNach vier Jahrzehnten seit der ersten Publikation über die Entdeckung von H. pylori sind viele Kenntnisse über dieses obligate Pathogen und die klinische Einschätzung seiner Bedeutung hinzugekommen. Diagnostische Algorithmen, Behandlungsindikationen und Therapiemodalitäten der H. pylori-Infektion haben grundlegende Veränderungen erfahren. Darüber hinaus sind Strategien zur Prävention des Magenkarzinoms in den Fokus gelangt.In vorliegendem Übersichtsartikel sollen wesentliche Entwicklungen im Management der H. pylori-Infektion im Verlauf der letzten 40 Jahre skizziert werden.
Therapeutic Effects of Tamsulosin in Nightmare Disorder: A
Randomized, Double Blind, Placebo-Controlled, Cross-Over, Pilot
Study
Authors: Naderifar Negin , Roohi Elnaz , Sharifi Ali , Jaafari Nemat , Hashemian Farshad 
Published: January 2024

AbstractNightmare disorder is associated with functional impairment, distress, and low
quality of life; however, studies on pharmacotherapy of this debilitating
disorder yielded mixed results. Prazosin, a non-selective α1
blocker is reported to be effective in treatment of post-traumatic stress
disorder-related nightmares. We aimed at investigating therapeutic effects of
tamsulosin which has higher affinity for blocking α1A and
α1D adrenoceptors in treatment of nightmare disorder. A
randomized, double blind, cross-over, placebo-controlled pilot study was
conducted. Patients were randomly assigned to receive Tamsulosin 0.4 mg
once daily or placebo for period of four weeks. Following a 2-week wash-out
period, they were crossed over to the other group and received drug or placebo
for duration of 4 additional weeks. Nightmare frequency and intensity
measurements were carried out using Disturbing Dreams and Nightmares Severity
Index (DDNSI). Blood pressure measurements were also performed. According to per
protocol analysis, mean DDNSI scores decreased following administration of
tamsulosin and a statistical trend towards significance was reported
(p=0.065, d=0.236). Results of intention to treat analysis
showed significant difference in DDNSI scores after drug use (p=0.030,
d=0.651). Additionally, DDNSI scores dropped significantly following
placebo use. However, intention to treat analysis showed no statistically
significant difference pre and post placebo period (0.064, d=0.040).
Tamsulosin may be effective in treatment of nightmare disorder. However, further
larger clinical trials are recommended to clarify the effectiveness of
tamsulosin and α1 subtypes in pharmacotherapy of
nightmares.
Regioselective Formation of Pyridines by Cycloaddition/Cycloreversion of 1,4-Oxazinone Precursors with Bisalkyne Substrates
Authors: Scheerer Jonathan R. , Andres Graydon J. , Anderson Seth E. , Kinsey Adrianne M. 
Published: January 2024

AbstractThis study explores the merged cycloaddition/cycloreversion of a 1,4-oxazinone substrate and conjugated bisalkyne precursors. Good regioselectivity in the Diels–Alder operation is observed and pyridines bearing 3-alkynyl functionality are afforded following cycloreversion and extrusion of CO2. Examples with both symmetric and nonsymmetric bisalkyne substrates are included.
The Multifaceted Role of Oxytocinergic System and OXTR Gene
Authors: Hasan Rakibul 
Published: January 2024

AbstractThe article explores the multifaceted role of the neuropeptide oxytocin in human behavior and its connection to the oxytocin receptor (OXTR) gene. Oxytocin, produced in specific brain nuclei, is implicated in emotional, social, and maternal behaviors, stress reduction, uterine contraction during childbirth, and lactation. The OXTR gene, located on chromosome 3, encodes oxytocin receptors found in various body parts, including critical brain regions associated with social behaviors. The article delves into studies on rodents, revealing correlations between OXTR gene expression and pair bonding in the prefrontal cortex and social behavior regulation in the amygdala. The discussion extends to the impact of oxytocin on social support-seeking behavior, focusing on a specific genetic variation, rs53576. The article explores how this genetic variation influences empathy, stress reactivity, and susceptibility to disorders such as autism and social anxiety. Furthermore, the article examines structural and functional changes in the brain associated with OXTR gene variations. It discusses the role of DNA methylation in influencing oxytocin receptor availability, affecting social perception and responsiveness to negative stimuli. The article also highlights the oxytocinergic system's involvement in disorders such as autism and social anxiety, emphasizing the interplay between genetics and environmental factors. The article also touches on the potential therapeutic use of exogenous oxytocin in mitigating symptoms associated with these disorders. In summary, the article underscores the intricate relationship between oxytocin, the OXTR gene, and diverse aspects of human behavior, providing insights into social bonding, perception, and the development of behavioral disorders.
Ideological representations of women in Jordanian folk proverbs from the perspective of cultural semiotics
Authors: Al-Khawaldeh Nisreen N. , Banikalef Alaeddin A. , Rababah Luqman M. , Khawaldeh Ali F. 
Published: January 2024

AbstractThis study analyses the semiotics of proverbs by presenting the ideological portrayals of women in Jordanian folk proverbs. The content analysis of the proverbs shows that women are represented both positively and negatively, though they are preponderantly depicted negatively in the majority of the analysed proverbs. They are represented negatively as a symbol of feebleness, foolishness, disgrace, cunning, deception, jealousy and reproduction. Few are the proverbs that elevate the status of women, and if they do, it is on the condition that they are confined to particular restricted gender roles, such as mothers, sisters, wives and daughters providing kindness, help, motivation, and comfort to others. The findings uncover how socially dominant ideologies can influence the way power is practiced in the context of gender relations. They also show the immense significance of such proverbs as a social discourse that has been long used for perpetuating gendered roles and constructing and interpreting related realities, thus affecting social structures and relationships. The inferiority of women constitutes the basis of their assigned roles and responsibilities in various life domains. The proverbs have the ideological indexicals of underestimating women, showing their position in society and also reminding them of their roles.
Application of quantum-limited optical time transfer to space-based optical clock comparisons and coherent networks
Authors: Caldwell Emily D. , Sinclair Laura C. , Deschenes Jean-Daniel , Giorgetta Fabrizio , Newbury Nathan R. 
Published: January 2024

With the demonstration of quantum-limited optical time transfer capable of tolerating the losses associated with long ground-to-space links, two future applications of free-space time transfer have emerged: intercontinental clock comparisons for time dissemination and coherence transfer for future distributed sensing in the mm-wave region. In this paper, we estimated the projected performance of these two applications using quantum-limited optical time transfer and assuming existing low-size, low-weight, and low-power hardware. In both cases, we limit the discussion to the simplest case of a single geosynchronous satellite linked to either one or two ground stations. One important consideration for such future space-based operations is the choice of reference oscillator onboard the satellite. We find that with a modestly performing optical reference oscillator and low-power fiber-based frequency combs, quantum-limited time transfer could support intercontinental clock comparisons through a common-view node in geostationary orbit with a modified Allan deviation at the 10−16 level at 10-s averaging time, limited primarily by residual turbulence piston noise. In the second application of coherence transfer from ground-to-geosynchronous orbit, we find the system should support high short-term coherence with ∼10 millirad phase noise on a 300 GHz carrier at essentially unlimited integration times.
Unmanned aerial vehicle fault diagnosis based on ensemble deep learning model
Authors: Huang Qingnan , Liang Benhao , Dai Xisheng , Su Shan , Zhang Enze 
Published: January 2024

Abstract
To address the problems of external interference during unmanned aerial vehicle (UAV) flight and the low accuracy and weak generalization ability of the current single fault diagnosis model, this work proposes a weighted ensemble deep learning UAV fault diagnosis method. First, considering the differences in training methods and fault feature recognition principles of deep networks with different structures, three hybrid fault diagnosis models are constructed. These models are constructed by combining convolutional neural network (CNN), bidirectional long short-term memory (BiLSTM) and bidirectional gate recurrent unit (BiGRU). CNN is used to extract the features of the UAV flight data and the obtained feature information is fed into BiLSTM and BiGRU to explore the fault information inherent in the time series data. Then, the three hybrid fault diagnosis models are used as the individual model of the ensemble learning algorithm, and the weights of the three individual models are optimized using a random grid search algorithm to construct a UAV fault diagnosis model based on hybrid deep learning weighted ensemble, which further improves the fault diagnosis performance. Finally, it is demonstrated experimentally that the proposed hybrid deep learning weighted ensemble fault diagnosis model can effectively identify the fault of UAV with an accuracy of

99.22
%

and

99.62
%

on binary and multivariate classification, respectively, and reflects better generalization performance in the metrics of precision, recall, and F1 score.
On the generalization of classical Zernike system
Authors: Gonera Cezary , Gonera Joanna , Kosiński Piotr 
Published: January 2024

Abstract
We generalize the results obtained recently (Blasco et al 2023 Nonlinearity
36 1143) by providing a very simple proof of the superintegrability of the Hamiltonian

H
=

p
⃗

2

+
F
(

q
⃗

⋅

p
⃗

)

,

q
⃗

,

p
⃗

∈

R

2

, for any analytic function F. The additional integral of motion is constructed explicitly and shown to reduce to a polynomial in canonical variables for polynomial F. The generalization to the case

q
⃗

,

p
⃗

∈

R

n

is sketched.