bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contrast-enhanced CT-based Radiomics for the Differentiation of Anaplastic or Poorly Differentiated Thyroid Carcinoma from Differentiated Thyroid Carcinoma: A Pilot Study
Authors: Moon Jayoung , Lee Jeong Hoon , Roh Jin , Lee Da Hyun , Ha Eun Ju 
Published: October 2022

Abstract
Differential diagnosis of anaplastic thyroid carcinoma/poorly differentiated thyroid carcinoma (ATC/PDTC) from differentiated thyroid carcinoma (DTC) is crucial in patients with large thyroid malignancies. This study creates a predictive model using radiomics feature analysis to differentiate ATC/PDTC from DTC. We compared the clinicoradiological characteristics and radiomics features extracted from a volume of interest on contrast-enhanced computed tomography (CT) between the groups. Estimations of variable importance and variable selection were performed via modeling using the random forest quantile classifier. The diagnostic performance of the model with radiomics features alone had the area under the receiver operating characteristic (AUROC) curve value of 0.883. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were 81.7%, 93.3%, 97.7%, 64.5%, and 84.6%, respectively, for the differential diagnosis of ATC/PDTC and DTC. The model with both radiomics and clinicoradiological information showed the AUROC of 0.908, with sensitivity, specificity, PPV, NPV, and accuracy of 82.9%, 97.6%, 99.2%, 67.1%, and 86.5% respectively. Distant metastasis, moment, shape, age, and gray-level size zone matrix features were the most useful factors for differential diagnosis. Therefore, we concluded that a radiomics approach based on contrast-enhanced CT features can potentially differentiate ATC/PDTC from DTC in patients with large thyroid malignancies.
Neutrophil gelatinase-associated lipocalin discloses acute tubular injury after surgery in canine patients
Authors: Teran Karla Alejandra Hidalgo- , Carvalho Marileda Bonafim , Junior Alceu Afonso Jordão , de Nardi Andrigo Barboza , Tovar Ana Maria Fernanda Ramires- 
Published: October 2022

Abstract
Canine patients needing surgical intervention are at risk of developing acute kidney injury, whose clinical manifestation it's late. The search for early diagnostic methods revealed the Neutrophil gelatinase-associated lipocalin (NGAL) as a novel biomarker for detecting acute tubular injury (ATI). Considering the hypothesis that dogs with cancer are more likely to develop ATI, related to the different interventions throughout the surgical process, a prospective longitudinal study (from the preoperative to the immediate postoperative period) of 17 clinically stable dogs indicated for surgical procedure. The serum creatinine, urinary density, and urinary protein-to-creatinine ratio, which are traditional indicators for kidney disease, the serum, and urine NGAL biomarkers, were evaluated. The sample collections were performed three times: 12 to 24 hours before surgery, 48 hours, and 96 hours after surgery. The results showed a significant increase in urinary NGAL in 11 of 17 dogs, 48 hours after surgery, while traditional markers showed no significant change, and no related clinical signs were observed. Thus, confirming the study's hypothesis, NGAL proved helpful for the early detection of silent events of attacks on renal tubular integrity.
A Prospective Pharmacogenetic Phase 3 Clinical Trial of Low-Dose Ondansetron (A 5-HT3 Antagonist) to Treat Heavy and Very Heavy Drinkers With Alcohol Use Disorder
Authors: Johnson Bankole , Alho Hannu , Addolorato Giovanni , Lesch Otto , Reich Jack , Liu Lei , Schuyler Vinzant 
Published: October 2022

AbstractThis 6-month, double-blind, randomized, Phase-3 clinical trial of individuals with Alcohol Use Disorder (AUD) assessed the efficacy of ondansetron 0.33 mg/twice daily (AD04) vs placebo at reducing the Percentage of Heavy Drinking Days (PHDD) among a genetic subgroup with variations at the serotonin transporter and 5-HT3A/5-HT-3B receptors who consumed <10 Standard Drinks/Drinking Day (DDD) (heavy drinkers) or ≥10 DDD (very heavy drinkers) at baseline. At Month 6, the least square (LS) mean change in PHDD from baseline was 8.5% greater in the AD04 group compared with placebo (LS mean (SD): -46.7% (2.7%), 95%CI: -52.1% to -41.2% vs. -38.1% (2.9%), 95%CI: -43.8% to -32.5%; p=0.03) with an almost significant effect (LS mean difference: 7.0%, p=0.07) for Months 5 and 6 combined. At Month 6, for the ADO4 group compared with the placebo group, heavy drinkers had improved psychosocial function (OR=3.4, 95% CI: 1.03-11.45, p=0.04), and fewer AUD symptoms (Mild: AD04 group 33% vs. placebo group 39%; Severe: AD04 group 10% vs. placebo group 24%) (p=0.05). This study showed promise for AD04 as a precision medicine treatment for heavy drinkers with a genetic subtype of AUD.
Micropropagation of iraca palm ( Carludovica palmata Ruiz y Pav)using a temporary immersion system
Authors: Minchala Nube , Hoyos Rodrigo , Correa Guillermo 
Published: October 2022

Abstract
Carludovica palmata is a neotropical plant with a promising potential for the agroindustry. It is an important source of fibers used to manufacture hand-made goods. Colombia is one of the leading countries in the production this species, however, it lacks efficient techniques for its propagation. We developed a protocol for massive micropropagation of C. palmata using Temporary Immersion Bioreactor (TIB) system. Immersion frequency, immersion times, culture medium volume, and explant density were evaluated using a split-split-plot design. The variables evaluated were number and length of shoots and roots, number of leaves, and explants dry weight. The performance of three micropropagation systems, BIT, semi-solid medium, and liquid medium, were evaluated using generalized randomized block design. Murashige and Skoog (MS) culture medium with 1,0 mg L− 1 of 6-Benzylaminopurine, 0,5 mg L− 1 of 1-Naphthaleneacetic acid, and 20 g L− 1 of sucrose added to it was used. Results obtained was frequency 12 h with immersion time 1 min improved the length of both shoots and roots, as well as the number of leaves and dry weight. Volume of 20 ml/explant was found to be adequate condition to increase the number and length of shoots, the number of leaves, and the dry weight. According to the optimization module, the factors levels that will maximize the evaluated variables are immersion frequency 12 h and immersion time 1 min, with 175 mL of culture medium per bioreactor and density of 10 explants. In conclusion, TIB was shown to be efficient for massive micropropagation of C. palmata compared with conventional methods.
Research on Key Technology of Coal and Rock Cutting State Identification
Authors: Zhang Meichen , Zhao Lijuan , Shi Baisheng 
Published: October 2022

Abstract
This paper combined the field test sampling, construction technology of complex coal seam, virtual prototype technology, bidirectional coupling technology, data processing theory, image fusion method, and the deep learning theory. It focuses on the key technologies of the coal and rock cutting state identification, such as "the acquisition and processing of the coal and rock cutting state data information set, sample expansion, identification and classification". The EDEM and RecurDyn were used to build the high-precision three-dimensional simulation model of complex coal seam and the bidirectional coupling model between shearer cutting parts, and the simulation group was set based on the actual cutting state of the shearer. Based on the simulation results of Discrete Element Method-Multi Flexible Body Dynamics (DEM-MFBD), the one-dimensional original vibration acceleration signals of the key components of the shearer cutting part were determined, including spiral drum, rocker arm shell, and square head. After transforming one-dimensional original signal data into the time-frequency images by STFT, morphological wavelet image fusion technology was used to realize the effective fusion of characteristic information of spiral drum, rocker arm shell, and square head under different working conditions. The basic database for coal and rock cutting state recognition was also constructed to provided original samples with rich and precise characteristic information for the expansion of recognition system data. Based on the deep learning theory, a DCGAN-RFCNN recognition network model with strong ability to perceive the cutting state information of coal and rock and rapid recognition and classification was constructed. Also, the experimental platform of shearer cutting coal and rock was built, where the coal and rock cutting state recognition network was trained and tested based on the migration learning theory. Through the statistical test results, the accuracy of coal and rock cutting state recognition is 98.64%, which realizes the accurate recognition of coal and rock cutting state.
Role of astronomical forcing in shaping the 41-kyr glacial cycles
before the Middle Pleistocene Transition
Authors: Watanabe Yasuto , Abe-Ouchi Ayako , Saito Fuyuki , Kino Kanon , O'ishi Ryouta , Ito Takashi , Kawamura Kenji , Chan Wing-Le 
Published: October 2022

Abstract
Glacial cycles during the Early Pleistocene (EP) are characterized by a dominant 41-kyr periodicity and amplitudes smaller than those of glacial cycles with ~ 100-kyr periodicity during the Late Pleistocene (LP). However, it remains unclear how the 41-kyr glacial cycles during EP respond to Earth’s astronomical forcings. Here we employ a three-dimensional ice-sheet model to simulate the glacial cycles at ~ 1.6–1.2 Ma and analyse the phase angle of precession and obliquity at each deglaciation. We show that each deglaciation occurs at every other precession minimum, when obliquity is large. This behaviour is explained by a threshold mechanism determined by ice-sheet size and astronomical forcings. The lead-lag relationship between precession and obliquity controls the length of each glacial/interglacial period. The large amplitudes of obliquity and eccentricity during this period help to establish robust 41-kyr glacial cycles. These findings support the combined role of astronomical forcings common for both EP and LP.
Study on Dynamic Behavior and Vibration Reduction Performance of BPNES
Authors: Song Weizhi , Zhou Hui , Zhang Chenjun , Liu Zhien , Lu Chihua 
Published: October 2022

Abstract
Nonlinear energy sink (NES) can transfer energy efficiently and unidirectionally through target energy transfer (TET). However, its performance is sensitive to the excitation intensity. When the excitation is lower than the trigger threshold, the performance of NES will be greatly reduced. When the excitation exceeds the trigger threshold, its performance will decrease with the increase of the excitation. At the same time, strong excitation may lead to high branch response of the linear oscillator (LO) under harmonic excitation, which will make the vibration worse. In view of those, NES with negative stiffness is proposed to improve the vibration reduction performance under low disturbance. Meanwhile, 2DOF parallel nonlinear energy sink (PNES) is used to ensure the performance under strong excitation. Two important indexes of bistable NES (BNES), the threshold of the transition from intra-well periodic vibration to inter-well chaotic vibration, and the strongly modulated response (SMR) trigger threshold of BNES, are analyzed in this paper. The parameters of bistable parallel nonlinear energy sink (BPNES) are optimized, and the vibration performance of BPNES and cubic stiffness NES (CNES) is compared. The analysis results show that, the performance of BPNES is better than that of CNES under both impulse and harmonic excitation.
Spatial and temporal coupling analysis of water resources-urbanization-ecological environment in the Yellow River Basin
Authors: Dong Guanghua , Gu Xiang , Wang Lunyan , Li Huimin , Guo Yinju , Dai Boxin 
Published: October 2022

Abstract
Since the process of urbanization development is inextricably linked to water resources and ecological environment, it is necessary to explore the coupled and coordinated relationship between urbanization, water resources and ecological environment in order to realize the ecological protection and high-quality development strategy of the Yellow River Basin. This paper constructs an urbanization index system based on population, space, economy, and society, a water resources system index system based on water resources status, water supply status, and water use efficiency, and a comprehensive ecological environment index system based on ecological environment pressure, ecological environment status, and ecological environment protection, and establishes a coupled coordination degree model to study the development levels of urbanization, water resources, and ecological environment and the relationship among them in the nine provinces of the Yellow River Basin from 2009 to 2017. The results show that: 1) the water resource system in the Yellow River Basin shows a fluctuating upgrading trend, the level of urbanization is rising steadily, and the development trend of ecological environment level varies, with Shandong being the best and Qinghai the worst; 2) The overall coordination of urbanization-water resources-ecological environment in the Yellow River Basin has been on the rise, showing a distribution of “high in the east and low in the west”. This suggests that: for the upstream provinces the market needs to be mobilized for water allocation, the downstream needs to be upgraded in the water conservation segment, Qinghai, Gansu and Henan provinces need to speed up the urbanization process and make up for the shortcomings, and for the basin as a whole the efficiency of environmental management must be further improved.
Estimating the likelihood of carrying pathogenic variants in the breast and ovarian cancer susceptibility genes: a validation of the BOADICEA model
Authors: Møller Nanna Bæk , Boonen Desirée Sofie , Feldner Elisabeth Simone , Hao Qin , Larsen Martin , Lænkholm Anne-Vibeke , Borg Åke , Kvist Anders , Törngren Therese , Jensen Uffe Birk , Boonen Susanne Eriksen , Thomassen Mads , Terkelsen Thorkild 
Published: October 2022

Abstract
Background: The Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), now a part of CanRisk, is a comprehensive risk prediction tool for breast and/or ovarian cancer (BOC) with a high accuracy to predict the likelihood of carrying pathogenic variants (PVs) in BRCA1 and BRCA2. BOADICEA version 6 also includes PVs in PALB2, CHEK2, ATM, BARD1, RAD51C and RAD51D, but the accuracy of its predictions remains to be investigated.
Methods: The study included 2,033 individuals counselled at clinical genetics departments in Denmark on suspicion of hereditary susceptibility to BOC. All counselees underwent comprehensive genetic testing by next generation sequencing of BRCA1, BRCA2, PALB2, CHEK2, ATM, BARD1, RAD51C and RAD51D. Predicted likelihoods of PVs were obtained from BOADICEA v6.1.0. The accuracy of predictions was examined by calibration using the observed-to-expected ratio (O/E) and by discrimination using the area under the receiver-operating characteristics curve (AUC).
Results: BOADICEA remained well-calibrated after addition of the additional genes. Thus, the O/E was 1.07 (95% CI 0.94-1.22) for all genes in the model combined. At sub-categories of predicted likelihood, the model performed well with only limited misestimation at the extremes of predicted likelihood. The ability to discriminate between carriers and non-carriers of PVs was acceptable with an AUC of 0.70 (95% CI 0.66-0.74), although discrimination was better for BRCA1 and BRCA2 (AUC 0.79) than for the other genes (AUC 0.59).
Conclusion: BOADICEA remains a valid decision-making aid for determining which individuals to offer comprehensive genetic testing on the suspicion of hereditary susceptibility to BOC.
Immediate word recall in cognitive assessment can predict dementia using machine learning techniques
Authors: Fayemiwo Michael Adebisi , Olowookere Toluwase Ayobami , Olaniyan Oluwabunmi Omobolanle , Ojewumi Theresa Omolayo , Oyetade Idowu Sunday , Freeman Shannon , Jackson Piper 
Published: October 2022

Abstract
Background:Dementia, one of the fastest-growing public health problems, is a cognitive disorder known to increase in prevalence as age increases. Several approaches had been used to predict dementia, especially in building machine learning (ML) models. However, previous researches showed that though most models developed had high accuracies, they suffered from considerably low sensitivities. The authors discovered that the nature and the scope of the data used in this study had not been explored to predict dementia based on cognitive assessment using ML techniques. Therefore, we hypothesized that using word-recall cognitive features could help develop models for the prediction of dementia through ML techniques and emphasized assessing the models' sensitivity performance.
Methods:Nine distinct experiments were conducted to determine which responses from either Sample Person (SP’)s or proxy’s responses in the “word-delay,” “tell-words-you-can-recall,” and “immediate-word-recall” tasks are essential in the prediction of dementia cases, and to what extent the combination of the SP’s or proxy’s responses can be helpful in the prediction of dementia. Four ML algorithms (K-Nearest Neighbours (KNN), Decision Tree, Random Forest, and Artificial Neural Networks (ANN)) were used in all the experiments to build predictive models using data from the National Health and Aging Trends Study (NHATS).
Results: In the first scenario of experiments using “word-delay” cognitive assessment, the highest sensitivity (0·60) was obtained from combining the responses from both SP and proxies trained KNN, Random Forest, and ANN models. Also, in the second scenario of experiments using the “tell-words-you-can-recall” cognitive assessment, the highest sensitivity (0·60) was obtained by combining the responses from both SP and proxies trained KNN model. From the third set of experiments performed in this study on the use of “Word-recall” cognitive assessment, it was equally discovered that the use of combined responses from both SP and proxies trained models gave the highest sensitivity of 1·00 (as obtained from all the four models).
Conclusion:It can be concluded that the combination of responses in a word recall task as obtained from the SP and proxies in the dementia study (based on the NHATS dataset) is clinically useful in predicting dementia cases. Also, the use of “word-delay” and “tell-words-you-can-recall" cannot reliably predict dementia as they resulted in poor performances in all the developed models, as shown in all the experiments. However, immediate-word-recall is reliable in predicting dementia, as seen in all the experiments. This, therefore, shows the significance of immediate-word-recall cognitive assessment in predicting dementia and the efficiency of combining responses from both SP and proxies in the immediate-word-recall task.
Age-dependent prebiotic effects of soluble corn fiber in M-SHIME® gut microbial ecosystems
Authors: Arroyo Marta Calatayud , Laurie Ieva , Rotsaert Chloë , Marzorati Massimo , Risso Davide , Karnik Kavita 
Published: October 2022

Abstract
Soluble corn fiber (SCF) has demonstrated prebiotic effects in clinical studies. Using an in vitro mucosal simulator of the human intestinal microbial ecosystem (M-SHIME®) model, the effects of SCF treatment on colonic microbiota composition and metabolic activity and on host-microbiome interactions were evaluated using fecal samples from healthy donors of different ages (baby [≤ 2 years], n = 4; adult [18–45 years], n = 2; elderly [70 years], n = 1). During the 3-week treatment period, M-SHIME® systems were supplemented with SCF daily (baby, 1.5, 3, or 4.5 g/d; adult, 3 or 8.5 g/d; and elderly, 8.5 g/d). M-SHIME® supernatants were evaluated for their effect on the intestinal epithelial cell barrier and inflammatory responses in lipopolysaccharide-stimulated cells. Additionally, short-chain fatty acid (SCFA) production and microbial community composition were assessed. In the baby and adult models, M-SHIME® supernatants from SCF treated vessels protected Caco-2 membrane integrity from LPS-induced damage. SCF treatment resulted in expansion of Bacteroidetes, Firmicutes, and bifidobacterial, as well as increased SCFA production in all age groups. SCF tended to have the greatest effect on propionate production. These findings demonstrate the prebiotic potential of SCF in babies, adults, and the elderly and provide insight into the mechanisms behind the observed prebiotic effects.
Relationship between anesthesia methods and prognosis of patients with non-muscle-invasive bladder cancer
Authors: Azhati Baihetiya , Dilixiati Diliyaer , Luo Cheng , Liu Qiang , Li QIAN-Jin , Wang Jie 
Published: October 2022

Abstract
Objective
To investigate the relationship between different anesthesia methods and the prognosis of patients with non-muscle-invasive bladder cancer (NMIBC).
Methods
We retrospectively analyzed the clinical, pathological, and follow-up data of 491 patients diagnosed with NMIBC by transurethral resection of bladder tumor (TURBT) from January 2010 to December 2018 in our hospital. Patients were divided into groups according to the different methods of intraoperative anesthesia: intravenous, combined intravenous-inhalation, and local (spinal or epidural anesthesia) anesthesia groups. The recurrence-free survival was evaluated using Kaplan-Meier’s method and compared among the groups using the log-rank test. Cox multivariate analysis was used to identify the independent risk factors affecting the prognosis of patients with NIMBC.
Results
Of the 532 patients included in the study, 491 were followed up, with a follow-up rate of 92.3%. The average follow-up time was 33.5 months. There were 189 (38.5%) patients in the intravenous anesthesia group, 120 (24.4%) in the combined intravenous-inhalation anesthesia group, and 182 (37.1%) in the local anesthesia group. There was no significant difference in the clinical data among the three groups (P > 0.05). In the univariate analysis, anesthesia, previous history of bladder cancer, pathological grade, and tumor number and size were associated with the recurrence-free survival (P < 0.05). The multivariate analysis showed that anesthesia, previous history of bladder cancer, pathological grade, and tumor size and number were independent risk factors for bladder cancer recurrence (P < 0.05).
Conclusion
Intraoperative anesthesia is an independent risk factor affecting the recurrence-free survival of patients with NMIBC. Compared with local and intravenous anesthesia, combined intravenous inhalation anesthesia may increase the risk of recurrence in patients with NMIBC after TURBT.
Resource Allocation and BER Performance Analysis of NOMA Based Cooperative Networks
Authors: Olfat Ali 
Published: October 2022

Abstract
Resource sharing and management can significantly improve the performance and spectral efficiency of wireless systems. In power domain non-orthogonal multiple access (NOMA) systems, users share a common bandwidth for simultaneous data transmission and therfore, the spectral efficiency of the system will be improved at the expense of increased complexity. Provided proper power allocation, it is possible to detect symbols at receivers. In this paper, the downlink of a cellular system is considered where a base station (BS) communicates with two users using NOMA with the assistance of a decode-and-forward (DF) relay. In the proposed scheme, receivers combine received signals from direct and cooperative links, and decode symbols by employing successive interference cancellation (SIC). The bit error rate (BER) performance of the proposed scheme is analyzed and the optimal power allocation is also derived through a Min-Max optimization, and a closed form approximation solution is proposed for BPSK modulation. Furthermore, it is proved that the proposed receiver achieves full diversity order for all users for proper choice of power allocation. Simulation results also corroborate BER and diversity analysis.