bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urinary microRNA-210-3p as a novel and non-invasive biomarker for the detection of pancreatic cancer, including intraductal papillary mucinous carcinoma
Authors: Imamura Taisuke , Komatsu Shuhei , Nishibeppu Keiji , Kiuchi Jun , Ohashi Takuma , Konishi Hirotaka , Shiozaki Atsushi , Yamamoto Yusuke , Moriumura Ryo , Ikoma Hisashi , Ochiai Toshiya , Otsuji Eigo 
Published: June 2023

Abstract
This study aims to explore novel microRNAs in urine for screening and predicting clinical characteristics in pancreatic cancer (PC) patients using a microRNA array-based approach. (1) Four oncogenic microRNAs (miR-744-5p, miR-572, miR-210-3p, and miR-575) that were highly upregulated in the urine of PC patients compared to healthy individuals were identified by comprehensive microRNA array analysis. (2) Test-scale analysis by quantitative RT-PCR for each group of 20 cases showed that miR-210-3p was significantly upregulated in the urine of PC patients compared to healthy individuals (P = 0.009). (3) Validation analysis (58 PC patients and 35 healthy individuals) confirmed that miR-210-3p was significantly upregulated in the urine of PC patients compared to healthy individuals (P < 0.001, area under the receiver operating characteristic curve = 0.79, sensitivity: 0.828, specificity: 0.743). We differentiated PCs into invasive ductal carcinoma (IDCa) and intraductal papillary mucinous carcinoma (IPMC) groups. In addition to urinary miR-210-3p levels being upregulated in IDCa over healthy individuals (P = 0.009), urinary miR-210-3p levels were also elevated in IPMC over healthy individuals (P = 0.0018). Urinary miR-210-3p can differentiate IPMC from healthy individuals by a cutoff of 8.02 with an AUC value of 0.762, sensitivity of 94%, and specificity of 63%. (4) To test whether urinary miR210-3p levels reflected plasma miR-210-3p levels, we examined the correlation between urinary and plasma levels. Spearman's correlation analysis showed a moderate positive correlation (ρ = 0.64, P = 0.005) between miR-210-3p expression in plasma and urine. Urine miR-210-3p is a promising, non-invasive diagnostic biomarker of PC, including IPMC.
On-farm managed trials and machine learning approaches for understanding variability in soybean yield in Northern Ghana
Authors: Buernor Alfred Balenor , Kabiru Muhammad Rabiu , Chaouni Bouchra , Akley Edwin K. , Raklami Anas , Silatsa Francis B. T. , Asante Michael , Dahhani Sara , Bouraqqadi Anis , Hafidi Mohamed , Jibrin Jibrin Mohammed , Jemo Martin 
Published: June 2023

Abstract

Background and aim : Soybean seeds inoculation with effective rhizobia (Rh) strains and phosphorus (P) application are agricultural best practices that enhance grain yield. However, in Northern Ghana, where these practices are progressively under adoption, unpredictable yield, and poor understanding of factors of yield variation often limit its potential. We assessed the influencing factors to soybean yield variability from biophysical and managed input variables (Rh inoculants, P rates, and sources). Methods On-station and on-farm soybean plots were inoculated with three Rh inoculants (Rh1, Rh2, and Rh3), treated with two P rates (0 and 30 kg P ha-1), and two P sources [rock phosphate and Triple superphosphate forms]. Yield data was predicted using the random forest (RF) model, and factors of yield variability were assessed using the linear mixed models and the forward redundancy analysis (rda). Results The yield prediction accuracy was greater for the on-station experiment compared to the on-farm dataset with a trained coefficient of determination (R2) of 0.77 and 0.66, respectively. The top variables of yield prediction were the Rh × P fertilizer, P sources, Rh strains, and exchangeable soil Mg2+concentrations. The Rh × P treatment increased soybean grain yield by 3.0 and 3.9 folds for the on-farm and on-station trials respectively, compared to the control. Conclusion The RF model and the forward rda unearthed a significant contribution of the soil exchangeable Mg2+to the yield variation. The mechanisms underlying the role of Mg on soybean growth deserve further research investigations to increase soybean production in Ghana sustainably.
Utility of the Minimum Apparent Diffusion Coefficient in Decreasing Unnecessary Biopsy Rates for Suspected Breast Magnetic Resonance Imaging Lesions: A Single-Centre, Retrospective Study
Authors: Wu Fang , Xu Fangyi , Su Dongying , Song Xia , He Jie , Hu Hongjie 
Published: June 2023

Abstract
Purpose: Apparent diffusion coefficient (ADC) helps identify malignant breast lesions and reduce unnecessary breast biopsies. However, previous research has primarily focused on the mean ADC (ADCmean) rather than the minimum ADC (ADCmin). Therefore, this study aimed to evaluate ADCmin’s ability to decrease unnecessary biopsy rates and determine the threshold of the ADCmin for clinical implementation.
Methods: In this single-centre, retrospective study, we included 497 patients with 548 magnetic resonance imaging (MRI)-detected Breast Imaging Reporting and Data System (BI-RADS) 3, 4, or 5 lesions. Using a negative likelihood ratio of 0.1, we selected the ADC value with the highest specificity as the ADC threshold (ADCnl, including ADCnl-min and ADCnl-mean). Diagnostic performance indices were calculated using the receiver operating characteristic curve analysis. Differences in the area under the curves were assessed using the Hanley and McNeil test. Contingency table analysis was employed to compare the biopsy rate reduction efficacy.
Results: The ADCmin showed comparable diagnostic performance to the ADCmean. The ADCmin and ADCmean values of 1.39×10−3 mm2/s and 1.52×10−3 mm2/s, respectively, were determined as thresholds. Upon applying the ADCnl-min and ADCnl-mean to the validation cohort, unnecessary biopsies of BI-RADS 4 and 5 lesions were reduced by 26.2% and 26.7%, respectively. The reduction in biopsies did not differ significantly between the ADCnl-min and ADCnl-mean.
Conclusion: The ADCmin has the same ability to reduce unnecessary biopsies as the ADCmean. An ADCnl-min of 1.39×10−3 mm2/s or an ADCnl-mean of 1.52×10−3 mm2/s may help avoid one-quarter of unnecessary biopsies classified as BI-RADS 4 and 5 lesions.
Prediction of hourly PM10 concentration through a hybrid deep learning-based method
Authors: Molaei Sahar Nasabpour , Salajegheh Ali , Khosravi Hassan , Nasiri Amin , abadi Abbas Ranjbar Saadat 
Published: June 2023

Abstract
Air pollution can have detrimental effects on human health as well as the environment. Particulate Matter (PM), as a global issue, is a type of air pollution that consists of small particles suspended in the air. Therefore, it is crucial to estimate and monitor levels of PM in the air in order to protect public health and the environment. This study proposed a novel hybrid method to apply the capability of two various deep learning models, namely, the encoder-decoder convolutional neural network and the Long Short-Term Memory (LSTM) model for PM10 prediction. The first model was utilized as a data argumentation method to enhance dataset diversity, and the LSTM model employed meteorological parameters and spatiotemporal factors to estimate the PM10 levels. The proposed technique achieved performance resulting in a coefficient of determination value of 0.88 and a mean absolute error value of 7.24. The results confirm that the developed hybrid method as an effective tool of PM prediction can be used to inform decision-making about policies and actions to reduce PM levels.
Construction and Optimization of a Biocatalytic Route for Menthone Amination
Authors: Zhu HuiJue , Pan Jiang , Li ChunXiu , Chen FeiFei , Xu JianHe 
Published: June 2023

Abstract
(+)-Neomenthylamine is an important industrial precursor used to synthesize high value-added chemicals. Here, we report a novel biocatalytic route to synthesize (+)- neomenthylamine by amination of readily available (−)-menthone substrate using ω-transaminase. By screening a panel of ω-transaminases, an ω-transaminase from Vibrio fluvialis JS17 was identified with considerable amination activity to (−)-menthone, and then characterization of enzymatic properties was conducted for the enzyme. Under optimized conditions, 10 mM (−)-menthone was transformed in a mild aqueous phase with 4.7 mM product yielded in 24 h. All raw materials were cheap and by-products were easily removed. This method underscores the potential of biocatalysts in the synthesis of unnatural terpenoid amine derivatives.
Assessment of the New Kinetically Limited Linear Driving Force Model for Predicting Diffusion Limited Adsorption Breakthrough Curves
Authors: Adegunju Sulaimon A. , Amalraj Pravin B. C. A. , Holland Charles E. , Nicholson Marjorie J. , Ebner Armin D. , Ritter James A. 
Published: June 2023

Abstract
The new kinetically limited linear driving force (KLLDF) model was assessed against the traditional LDF model in the prediction of twelve different ternary and quaternary experimental breakthrough curves. These breakthrough curves comprised mixtures of CO2, N2 and CH4 in He adsorbed on carbon molecular sieve MSC 3K 172 and were conducted at various pressures (30, 50 and 100 psia) and at ambient temperature. The LDF and KLLDF models were implemented in the dynamic adsorption process simulator (DAPS) with the loading dependent LDF mass transfer coefficients and the single gas equilibrium adsorption isotherms measured independently with gravimetric uptake experiments. To make the comparison between the LDF and the KLLDF models as fair as possible, they utilized the same set of thermodynamic and kinetic parameters in DAPS, with no adjustments to any of them. Both the LDF and KLLDF models provided reasonable predictions of the experimental breakthrough curves and in-bed temperature histories, with general trends of no CH4 uptake, gradual N2 uptake and fast CO2 uptake. However, the KLLDF model always provided better predictions, especially when CO2 was present. The results revealed that the traditional LDF model led to depressed adsorbed phase loadings of CO2, thereby underpredicting its breakthrough time in all cases. This depression stemmed from the equilibrium loading in the LDF driving force of the LDF model depending on the gas phase partial pressure of each component outside the pore structure. In contrast, the KLLDF model corrects this issue by making the equilibrium loading in its LDF driving force dependent on the actual loading of each component inside the pore structure. In conjunction with the extended mixed gas Langmuir model, the KLLDF model is perhaps the more appropriate model to use instead of the LDF model for any multicomponent adsorbate-adsorbent systems, whether diffusion limited or not, since it reduces to the LDF model for systems that do not exhibit significant diffusional limitations.
Emergent superconductivity in doped ferroelectric hafnia
Authors: Duan Xu , Liu Shi 
Published: June 2023

Abstract
Superconductivity and ferroelectricity, representing two distinct forms of ordered states, are typically not found together in the same system, making it even more difficult to create a connection between them. Here, supported by first-principles calculations, we propose that Anderson-Blount’s ferroelectric-like metal can be manifested in electron-doped ferroelectric Pca21 HfO2. In this system, polar phonons and consequently ferroelectricity are not affected by the presence of itinerant electrons. We find that a nonpolar optical phonon, being strongly coupled to doped electrons, can acquire a pronounced electron-phonon coupling strength to activate conventional Bardeen-Cooper-Schrieffer superconductivity. The displacements of polar oxygen atoms in Pca21 HfO2 create a link between ferroelectricity and superconductivity, enabling a tunable superconducting temperature ranging approximately from 10 to 30 Kelvin. Owing to hafnia's compatibility with silicon, we suggest HfO2-based ferroelectric superconductors present an opportunity to construct high-performing hybrid integrated systems utilizing switchable quantum states.
Non-aureus staphylococci and mammaliicocci isolated from dairy cow milk and their relationships with the presence of mastitis: a retrospective investigation
Authors: Addis Maria Filippa , Locatelli Clara , Penati Martina , Poli Sara Fusar , Monistero Valentina , Zingale Lucia , Rota Nicola , Gusmara Claudia , Piccinini Renata , Moroni Paolo , Bronzo Valerio 
Published: June 2023

Abstract
Non-aureus staphylococci and mammaliicocci (NASM) have been associated with bovine mastitis and increased milk somatic cell count (SCC) but their relationships with mammary gland health at the species level are not completely understood. The implementation of MALDI-TOF MS in milk microbiology is generating large and dependable datasets with the potential of providing useful information in this respect. We present the retrospective analysis of 17,213 milk samples sent to our laboratory in 2021–2022, including 13,146 quarter samples from cows with subclinical (SCM) or clinical mastitis (CM) from 104 farms, and 4,067 composite herd survey (HS) samples from 21 farms. NASM were isolated from 21.12% of SCM, 11.49% of CM, and 15.59% of HS milk samples. The three most frequently identified NASM in SCM milk were Staphylococcus chromogenes (33.33%), S. haemolyticus (26.07%), and S. epidermidis (10.65%); these were significantly associated with the presence of SCM (p < 0.05) together with S. microti and S. hyicus. The three most frequently identified NASM in CM milk were S. chromogenes (31.69%), S. haemolyticus (21.42%), and Mammaliicoccus sciuri (18.38%); however, no significant associations were found between NASM species and CM. The three most frequently identified NASM in HS milk were S. chromogenes (44.49%), S. epidermidis (17.84%), and S. haemolyticus (17.23%), with S. chromogenes being isolated in all the farms sending HS milk (100%). In conclusion, this retrospective study contributes to expanding our knowledge on the epidemiology of NASM at the species level and provides further insights on their relationships with mammary gland health in modern dairy farms.
Ultra-precision milling and grinding for large-sagittal MgF2 aspheric optical elements
Authors: Wei Qiancai , Lei Pengli , Fan Fei , Zhong Bo , Zhou Lian , Wang Zhenzhong , Zheng Nan , Ma Houcai , Zhang Hao 
Published: June 2023

Abstract
Ultra-precision machining for large-sagittal aspheric optical elements has become one of the research hotspots in the world's processing and manufacturing field in recent years. This paper mainly studies the processing of large-sagittal MgF2 aspheric optical components, analyzes the grinding tracks of two different grinding methods, and seeks the best grinding method. Experimental research was carried out on three milling modes in the rigid grinding process. In the processing method of pressed milling, the rotational speed of the workpiece has the most significant effect on the surface roughness. The surface roughness Ra can be reduced by reducing the grain size of the grinding wheel and adjusting the processing parameters. Through the cylindrical milling method, the surface roughness Ra measured with the D46 grinding wheel in the direction of rotation can reach the minimum, which is 0.7–0.8µm. In the fine grinding stage, the circumferential grinding and endface grinding models are established, and the simulation analysis and experimental verification of the trajectory of the abrasive particles in the two grinding methods are carried out. The comparison shows that with endface grinding, the surface of the component is removed evenly in both directions. When the grain size is 28µm, the surface roughness Ra∥ and Ra⊥ of face grinding are the smallest. Among them, Ra∥ is 0.0458 µm, and Ra⊥ is 0.0369 µm. This study is of great significance in improving the machining efficiency and accuracy of large-sagittal aspheric optical elements.
Impact of COVID-19 lockdowns on pediatric injury attendances in different population groups in Israel: an interrupted time-series analysis, 2018-2022.
Authors: Bernstine Tomer , Edelstein Michael , Krupik Danna 
Published: June 2023

Abstract
Background
Lockdowns and quarantines during the COVID-19 pandemic influenced healthcare services’ usage patterns such as emergency department (ED) attendances. During the pandemic, Israel issued three lockdowns (March-May 2020, September-October 2020, December 2020-February 2021) to mitigate the spread of COVID-19. Little is known about the impact of these lockdowns on ED attendance for injuries in the diverse population of Northern Israel.
Methods
We conducted a retrospective time series analysis. We extracted data from medical records of all northern Israeli children aged 0–17 years old who attended Ziv Medical Center (ZMC) emergency department (ED) due to injury, between 01/01/2018 and 10/02/2022. We compared volume and characteristics of ED attendances during lockdown periods to the same time periods in the 2 years before the pandemic and 1 year after the lockdowns, using chi-square tests.
Results
7,619 northern children attended ZMC ED during the time periods of the study for injuries and were analyzed. Mean attendance numbers during lockdowns decreased compared to previous years, with an increase in injuries proportion (67.8% (1502/2216) vs. 52.7% (2038/3868) p < 0.001). The proportion of 0–4 years old attending for injuries during the lockdown increased compared to pre-pandemic (39.68% vs. 30.7%, p < 0.0001). Minority populations attendances decreased (27.47% vs. 30.71% p = 0.02). Hospitalization rates increased (13.21% vs. 10.65% p = 0.01). Post-lockdown periods saw a return to the pre-pandemic age and ethnicity distribution.
Conclusions
Compared to previous years, the volume of injuries was lower during lockdowns for all ages. Older children’s injuries may have been prevented by lockdowns, possibly because of restrictions on outdoor activities. A lower proportion of attendance from minority groups suggest different health seeking behavior patterns during emergencies compared to the general population. Understanding these differences will help better plan for future emergencies.
Scaling Analysis of Droplet Forces in Electrocoalescence: Effect of Frequency and Waveform on Dehydration Efficiency
Authors: Esteves Bárbara de F. , Castor Carlos , Pinto José C. , de Souza Marcio Nele 
Published: June 2023

Abstract
Millisecond-scale electric fields and minute-to-hour sedimentation times complicate the direct simulation of electrocoalescence. A scale analysis of the electrocoalescence process was performed, leading to the conclusion that the dielectrophoretic (DEP) force is the primary force involved. Since the dielectrophoretic force does not change direction during electrocoalescence and the electric field timescale is much smaller than droplet sedimentation, an average DEP force is proposed for analyzing the electrocoalescence process. This uncouples the dynamics of the electric field and sedimentation, simplifying the understanding of the process.As the DEP force drives droplets toward the electrodes, droplet-to-electrode coalescence becomes an important mechanism. The frequency effect on electrocoalescence was examined in light of droplet oscillation. A non-dimensional number, similar to the Deborah number, was defined for the electrocoalescence process. It was demonstrated that high frequencies enhance electrocoalescence by protecting large droplets from breaking. The theoretical derivations were successfully applied to interpret batch electrocoalescence data under various waveforms, voltages, and frequencies.
Exploitation of distant Antarctic habitats by juvenile macaroni penguins: conservation implications
Authors: Thiebot Jean-Baptiste , Bost Charles-André 
Published: June 2023

AbstractThe at-sea ecology of marine migratory species has been unevenly studied across life-cycle stages, which limits our understanding of how distant marine ecosystems may be connected. The macaroni penguinEudyptes chrysolophusis the largest avian consumer of marine resources in the world, however no at-sea distribution data are available on this species’ juvenile birds. In this study we successfully tracked nine juvenile macaroni penguins during their post-fledging dispersal from Kerguelen Is., a key population in the southern Indian Ocean. Fledglings crossed the Antarctic Polar Front to the south and unexpectedly reached the Marginal Ice Zone after two months at sea, travelling up to 2,500 km to the southeast of their colony until transmissions ceased. The fact that abundant predators such as juvenile macaroni penguins target Antarctic sea ice habitats to forage is fundamentally new for the species and has important consequences for the management of Antarctic prey resources. Our study brings new elements that clarify the species’ ecology during a critical stage of its life cycle, and expand its known connectivity to adjacent ecosystems; these findings will help refining conservation strategies for the southern Indian Ocean populations.
Myths and misconceptions about human behavior and mental processes held by introductory psychology students: A BISTOPS collaborative research project
Authors: Cameron E. Leslie , Khanna Maya 
Published: June 2023

Abstract
Many people embrace myths and misconceptions about human behavior and mental processes, and even taking a course in psychology does not necessarily reduce these misconceptions and beliefs in myths. Holding such misunderstandings can have serious consequences on the decisions people make in their lives. Most studies about psychological myths have focused on relatively small samples and single institutions. A group of researchers, unified by an enduring focus on student learning as an area of research, convened at the Biennial International Seminar on the Teaching of Psychological Science in 2018 to study this issue. We sought to explore the prevalence of these myths and misunderstandings of students who have just completed an introductory psychology course. Thus far our collaboration has generated data from over 1000 introductory psychology students at 7 institutions across the United States and we have confirmed that there is widespread endorsement of many myths. We also surveyed those students’ instructors and found a negative correlation between the amount of time faculty spend debunking myths and myth endorsement. In this paper we briefly describe the process of developing this research project and our initial findings. We also outline the future directions we plan to take, including reconsidering how the introductory course could be taught to maximize the reduction of misconceptions about human behavior and mental processes. We conclude by discussing some of the strengths, limitations and difficulties of this collaborative project.