bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple myeloma and t(11;14): prognostic significance and impact of novel agents on response and survival.
Authors: Puertas Borja , González-Calle Verónica , Sobejano Eduardo , Escalante Fernando , Rey-Bua Beatriz , Padilla Irene , García-Sanz Ramón , Puig Noemí , GUTIERREZ NORMA , Manteca Maria Victoria Mateos 
Published: December 2022

Abstract
Multiple myeloma (MM) patients with t(11;14) present unique biological features and their prognosis is not well established. We report a retrospective study of 591 MM patients, 17.6% of whom had t(11;14). It was designed to determine the prognostic impact of this abnormality and the effect of novel agents on the response and outcomes. Three groups were established based on their cytogenetics: 1) t(11;14); 2) high-risk chromosomal abnormalities; and 3) standard risk (SR). After 80.1 months (1.2-273.8 months) of follow-up, no differences were observed in overall survival (OS) between the t(11;14) and SR groups (75.8 vs. 87.2 months; P = 0.438). However, in ISS-1 stage patients, MM t(11;14) individuals had shorter OS than those in the SR group (62.9 vs. 126.7 months; P = 0.004). Treatment of MM t(11;14) with novel agents did not improve their overall response rate (ORR) or complete response (CR) compared with those who received conventional therapy (ORR: 87.2% vs. 79.5%, P = 0.336; CR: 23.4% vs. 12.8%, P = 0.215). This effect translated into similar PFS (39.6 vs. 30.0 months; P = 0.450) and OS (107.6 vs. 75.7 months; P = 0.175). In summary, MM t(11;14) patients did not benefit from the introduction of novel agents as much as SR patients did, indicating that other therapies are needed if their outcome is to be improved.
Design and Fabrication of Ag 2 O@CuFe 2 O 4 @g-C 3 N 4 Photocatalysts for the Degradation of Organic Dyes Under Visible Light
Authors: WANG Jianhua 
Published: December 2022

Abstract
A new series of Ag2O@CuFe2O4@g-C3N4 composite photocatalyst has been synthesized by a facile one pot hydrothermal reaction approach using urea, g-C3N4, FeCl3 and Cu(AC)2 as precursors. Urea was decomposed over 90oC and adjusted the pH value of reaction solution over 10. In Ag2O@CuFe2O4@g-C3N4−3%, the decomposition rate of MB was 99.93% under visible light within 35 minutes. In the composites, Ag2O and CuFe2O4 have been uniformly dispersed in g-C3N4 matrix, inducing more enhanced efficiency of Ag2O@CuFe2O4@g-C3N4 heterostructure in photo-degradation methylene blue (MB) under visible light. The photocatalytic activity of Ag2O@CuFe2O4@g-C3N4 was enhanced based on the p-n structure between Ag2O, CuFe2O4 and g-C3N4. The decomposition rate of MB was reduced from 99.08–93.59% for several recycling use, thus Ag2O@CuFe2O4@g-C3N4 show high catalytic activity and excellent stability. The photocatalytic mechanism of Ag2O@CuFe2O4@g-C3N4 was discussed based on the active species •OH during photocatalytic process.
Screening for Sarcopenia - Performance of SARC-F and SARC-CalF in Older Adults from Northern Brazil
Authors: de Lima Alex Barreto , Ribeiro Gustavo dos Santos , Henriques-Neto Duarte , Gouveia Élvio Rúbio , Baptista Fátima 
Published: December 2022

Abstract
Background: To analyze the performance of SARC-F and SARC-CalF as screening tools for sarcopenia.
Methods: The sample included 312 older people community-dwelling. Sarcopenia was defined as low handgrip strength (HGS) or low gait speed (GS≤0.8m/s). HGS was measured by dynamometry and GS by the 4-meter walking speed test. For HGS, the following criteria (C) were used to identify sarcopenia in men/women: CI: <27kg/16kg; CII: <35.5kg/20.0kg; CIII: grip over body mass index <1.05/<0.79; CIV: grip strength over total body fat <1.66/<0.65; CV: grip over bodyweight <0.45/<0.34. For sarcopenia screening, the SARC-F (≥4 points) and the SARC-Calf, (≥11 points) were used.
Results: Sarcopenia was identified by SARC-F in 12.5% of men and 21.0% of women and by SARC-Calf in 27.7% of men and 40.0% of women. Taking GS and HGS as references, sarcopenia ranged between 15.2% (GS) and 75.0% (CII) for men and 27% (GS) and 66% (CIII) for women. The Kappa analysis revealed no agreement between the SARC-F and the various criteria for the identification of sarcopenia in men. The same lack of agreement was observed in women with some exceptions: CI=0.161±0.074; p=0.020; GS=0.209±0.076; p=0.003. Concerning the Cohen´s kappa between the SARC-Calf and the reference criteria of sarcopenia, the following coefficients were observed as significant for women: CI=0.201±0,069 p=0.003; CII=0.186±0,064 p=0.005; GS=0.273±0.068 p=0.0001; and for men: CII=0.139±0.053 p=0.021; GS=0.223±0.099 p=0.011. ROC curves revealed the SARC-Calf with acceptable discrimination and reasonable sarcopenia predictive capacity considering a cutoff value of 10.5 in both men (AUC:67.5%; p=0.022; Se=52.9%; Sp=76.8%) and women (AUC:72.4%; p<0.001; Se=63%; Sp=68.5%) with reference to GS.
Conclusions: The SARC-Calf showed greater performance than the SARC-F for screen-ing sarcopenia in the population ≥ 60 years of age in the Amazonas, measured through walking slowness
Effectiveness Analysis of Reconstruction of Absence of Abdominal Wall With Multi-Layer Tissue Flaps in Adult Bladder Exstrophy
Authors: Azhati Baihetiya , Dilixiati Diliyaer , Reheman Aerziguli , Yang YU 
Published: December 2022

Abstract
Objective
To investigate and analyze the feasibility and clinical effect of multi-layer reconstruction of absence of abdominal wall of adult bladder exstrophy with flaps, and to provide a reference method for clinical treatment of similar problems.
Methods
To summarize 12 adult patients with congenital Classic bladder exstrophy were initial treatment from June 2013 to January 2020, all abdominal wall defect were treated with multi-layer reconstruction of the shallow flap pedicled by the deep abdominal fascia and the deep joint aponeurosis flap composed by anterior sheath of rectus abdominis - aponeurosis of external oblique. The area of transferred flap was (9 cm×11 cm) to (13 cm×15 cm).
Results
Abdominal wall reconstruction of 12 cases cured well with sufficient strength and satisfactory appearance recovery.
Conclusion
The multi-layer reconstruction of absence of abdominal wall of congenital classic bladder exstrophy in adults by multiple flaps could get satisfactory appearance, sufficient strength and reliable effect in initial treatment.
Morpho-anatomy and histochemistry of European mistletoe (Viscum album L. subsp. album), a semi-parasite growing on Malus domestica
Authors: de Almeida Valter Paes , Monchak Irailson Thierry , Batista João Vitor da Costa , Grazi Mirio , Ramm Hartmut , Raman Vijayasankar , Baumgartner Stephan , Holandino Carla , Manfron Jane 
Published: December 2022

Abstract

This paper provides detailed morpho-anatomical characteristics of the leaves, stems and berries ofViscum albumL. subsp.album(Santalaceae) growing on the branches ofMalus domestica.Additionally, microchemical analyses of all tissues and Energy Dispersive X-Ray Spectroscopy(EDS) analyses of the calcium oxalate crystals are provided for the first time. The plant grows as a semi-parasite on the branches of host trees and shrubs; it develops as dichasium with pseudo-dichotomous branching stems and well-developed green leaves with parallel veins; the dioecious inflorescences usually consist of three flowers, with female flowers generating white fleshy berries, in which a seed is embedded in the mucilaginous mesocarp, normally containing two embryos. The analyzed leaves were isobilateral, amphistomatic, and showed straight anticlinal epidermal cell walls, thick cuticles with epicuticular wax crystalloids, and paracytic stomata. The midrib is flat on both sides and has a single vascular bundle, whereas the petiole is concave-convex in shape and contains five bundles. The stems show a primary structure with a ring of nine vascular bundles enclosing the pith. Calcium oxalate druses and cubic and quadrangular prisms were observed in different parts of the plant. The microscopic features of the tissues and structures are illustrated with light and scanning electron micrographs.
Hybrid FGO to composite energetic materials and its “intelligent” responses to thermal stimulus
Authors: Xie Liangjun , Ren Hui , Liu Jie , Jiao Qingjie 
Published: December 2022

Abstract
Fluorinated graphene (FGO) was a two-dimensional layered compound with thermal conductivity and hydrophobicity, Different percentage of FGO (1.00 wt.%, 3.00 wt.%, 5.00 wt.%) was added to the composite energetic system boron/potassium nitrate (B/KNO3). Through elemental analysis (EA), Fourier transform infrared spectroscopy (FTIR) and X-ray photoelectron spectroscopy (XPS), the results show that with the increase of fluorination degree, the stretching vibration peak of C-F bond was more obvious, and the contents of fluorocarbon functional groups, especially C-F2 rise. The results of synchronous thermal analysis and mass spectrometry (DSC-TG-MS) showed that the initial decomposition temperature of fluorinated graphene was around 400 ℃, the enthalpy value was about 7279 J/g− 1, and a large number of fluorine-containing gas products arising therefrom. The effect of fluorinated graphene on the thermal decomposition performance of energetic system was analyzed by DSC-MS. The results show that fluorinated graphene delayed initial exothermic peak temperature of B/KNO3 system, and promoted subsequent exothermic reaction. The service performances of B/KNO3 composites were compared with or without FGO. While adding fluorinated graphene, the moisture resistance and thermal conductivity of the B/KNO3 composites was improved, flame sensitivity was reduced, thermal safety waas improved, gaseous products and combustion heat were increased, flame duration was prolonged, and the ignition delay period was shortened. It was implied that the present of FGO made the composite energetic materials safer under lower heat and more reliable under high heat. FGO played a role of intelligent regulation and smart responds to different thermal stimuli.
Prevalnce of Smoking, Alcohol Consumtion, and Drug Abuse in Iranian adults: Results of Azar Cohort Study
Authors: Naghizadeh Sahar , Faramarzi Elnaz , Akbari Hossein , Jafari Nasrin , Sarbakhsh Parvin , Mohammadpoorasl Asghar 
Published: December 2022

Abstract
Background
As one of the world's most serious health concerns, substance abuse has major health impacts on addicts, their families and society, as a whole. The aim of the present study was to provide evidence with detailed prevalence estimates of smoking, alcohol consumption and drug abuse among the respondents of Azar cohort study, in Tabriz, Iran.
Methods
The Azar cohort study is a part of PERSIAN cohort study, aimed to examine the risk factors of common non-communicable diseases among Iranian adults. The data on 15006 subjects with 35 to 70 years of age including tobacco smoking, alcohol consumption and drug abuse and socio-demographic characteristics were analyzed. Due to the difference in the number of male and female samples, the prevalence of substance abuse for the entire sample was calculated using the direct standardization method, with a 95% confidence interval.
Results
Totally, 9.3% and 6.2% of the participants were regular cigarette smoker and heavy cigarette smoker, respectively. Also, 1.9% and 2.1% of participants were illicit drug user and alcohol drinker, respectively. Substance abuse were more prevalent among males, compared to females. There were significant differences between substance abuse, age and socio-economic variables. Also, there were strong associations between the mentioned three substance abuse behaviors.
Conclusion
Demographic and socio-economic status were contributed to smoking, alcohol consumption and drug abuse. Therefore, high-risk groups should be taken into account while designing substance abuse prevention programs. We also identified associations between the three risky behaviors, which shows the emergency of need for intervention on the group that has the three risky behaviors, simultaneously.
The influence of time domain on flood season segmentation by the Fisher optimal partition method
Authors: Li yanbin , li yubo , feng kai 
Published: December 2022

Abstract
Setting the staged flood limit water level (FLWL) through flood season staging is an important means of fully utilizing reservoir flood resources. The Fisher optimal partition method has been widely used to determine the optimal staging of a flood season. It requires a certain time-domain as the basic unit. This study aimed to analyze the influence of various selected time-domain units on the staging results and to provide a scientific time-domain selection basis for the application of the method in flood season staging. Flood season staging was conducted by taking four specific time-domains: 5, 7, 10, and 15 days as the basic units. The rationality of the flood season staging scheme was tested using the improved Cunderlik method, and the influence of specific time-domains as the basic units in the Fisher optimal partition method on the staging results was evaluated. The results showed the highest relative superiority of 0.9681 for the time-domain unit of 5 d. Therefore, it is recommended that 5 d be used as the time-domain unit. The optimal staging result was determined as June 20 for the first segmentation point and August 20 for the second. According to the results of the staged FLWL compared with a single fixed FLWL, the water level was raised by 5.2 m in the pre-flood season, 0.3 m in the main-flood season, and 3.7 m in the post-flood season. Water storage increased by 24.628 million m³ during the flood season, effectively alleviating the contradiction between water supply and storage.
Analysis of wetland ecosystem service value change and its driving forces in Haikou, China
Authors: Yang Xing , Qiu Penghua , Zhong Cairong , Fang Zanshan , Cheng Cheng , Lv Xiaobo 
Published: December 2022

Abstract
The development of society and changes of natural conditions have caused a serious loss of wetlands in Haikou. Evaluation of wetland ecosystem service value (ESV) and determining its drivers are important for sustainable development, which can provide a reference for the scientific basis of wetland protection and management. Based on the land use data of Haikou city from 1959 to 2018, the ESV of wetlands in Haikou were calculated by equivalent factor method, and the correlation analysis, principal component analysis and spatial autocorrelation analysis were used to identify the main factors affecting the ESV change of Haikou wetland and the spatial change of its ESV. The results indicated that: (1) From 1959 to 2018, the area of wetlands was reduced by 19,704.36 ha, with the loss rate of 21.86%. (2) The wetlands ESV decreased from 57.57 to 53.15×108 yuan, and the regulation services with the highest contribution of 60.18% to 61.53%. (3) Socio-economic development (land use degree, GDP, population, aquaculture output), with the contributing of 37.49%, is the main driving factor of wetland change in Haikou city. Followed by the climate factors (precipitation, water pressure and relative humidity) provide a contribution of 23.06%, and the contribution of agricultural factors (grain output, aquaculture area and farmland area) was 11.25%. (4) High-intensity development and utilization and population clusters in built-up areas and coastal areas are responsible for its worst loss of wetland ESV.
A Non-Negative Matrix Factorization Approach to Computing “Fingerprints” in Spectra of Nuclear Materials
Authors: Antici Jacob 
Published: December 2022

Abstract
In nuclear reactors, it is essential to track and predict the amount and type of plutonium present in order to prevent build-ups that can lead to nuclear meltdowns. When different wavelengths (from 0-1650) are run through 110 separate nitric acid solutions for ten repetitions each the resulting data matrix is 1650 x 1100. To predict the plutonium present and the nitric acid used the dimensions of the matrix must first be reduced. In this paper, we proposed a novel application to reduce the dimensions using a Non-Negative Matrix Factorization. The method currently used to reduce the dimensions is Principal Component Analysis. However, when dealing with a potentially catastrophic element multiple reduction techniques should be implored to check the prediction. In this research, the first attempt to reduce the dimensions of plutonium data using a non-negative matrix factorization approach was utilized. The results proved to be more explainable and often more accurate than principal component analysis showing that if implored instead of PCA, or in addition to PCA, this novel NMF approach can help prevent nuclear meltdowns. Additionally this article is aided with a novel supplemental proof conveying that minimizing reconstruction error is equivalent to maximizing variance in principal component analysis.
Sparse norm and Cross-gradient inversions of gravity and magnetic data sets utilizing open-source resources in Python Case study: Hematite ore body in Jalal Abad area (Iran)
Authors: Ardestani Vahid E. 
Published: December 2022

Abstract
The gravity and the magnetic data sets are utilized to model the Hematite ore body.
The cross-gradient joint inversion is used to invert the data sets simultaneously.
To discretize the model space, the advanced meshing algorithm (Octree mesh) has been
applied.
The sparse norm and cross-gradient inversion modules in Python, accessible through Simulation and Parameter Estimation in Geophysics (SimPEG, version 0.17.0) website, have been applied to the inversion process. The sparse norm inversions do not provide reasonable results, particularly for the gravity data set. The estimated density contrasts through the inversion process are very low and unrealistic and on the other hand, the north-south cross sections do not represent a real image from the subsurface sources.
The magnetic modeling results obtained through sparse norm inversion also show unrealistic characters, particularly for the 3-dimensional figure of the subsurface anomaly.
The cross-gradient inversion acts quite successfully for both gravity and magnetic models despite of high noise level in gravity data and the weak signal of magnetic data.
Carbon trade-off with crop and water productivity in intensive rice-based cropping system in Eastern India
Authors: Behera Stuti D , Garnayak Lalita Mohan , Behera Basudev , Sarangi Sukanta Kumar , Jena Jagadish , Behera Swosti D , Dwibedi Sanat Kumar 
Published: December 2022

Abstract

To achieve sustainable crop and water productivity, carbon efficiency of rice-toria-sweet corn system by the synergies of nutrient management, rice variety and establishment method oftoriaand sweet corn, a field experiment was conducted during 2018-19 and 2019-20 at Bhubaneswar, Odisha. The treatments comprising of three nutrient management [N1: 100% Soil Test Based Nitrogen Recommendation (STBNR), N2: 75% STBNR +in situgreen manuring ofDhaincha(GM) and N3: 50% STBNR + GM in rice, two rice varieties (V1: ‘Manaswini’ of 130 d duration and V2: ‘Hasanta’ of 145 d duration) and three crop establishment methods intoria viz., E1: Zero Till-Flat Bed (ZT-FB), E2: Conventional Till-Flat Bed (CT-FB) and E3: Conventional Till-Furrow Irrigated Raised Bed (CT-FIRB) were tried in split plot design with four replications. Sweet corn was grown aftertoriafollowing the same lay out. Application of 75% STBNR+GM proved to be the best with the maximum system rice equivalent yield (REY) of 21.10 t ha-1, input water productivity (IWP) of 0.44 kg REY ha-mm-1, C output of 14,484 kg ha-1, carbon efficiency (CE) of 8.58 and carbon sustainability index (CSI) of 7.58. ‘Manaswini’ rice-based system registered 4% higher REY as compared to ‘Hasanta’ rice-based system, but both systems were at par for IWP, carbon output, CE and CSI. System involving CT-FIRB recorded the maximum REY, IWP and carbon output, registering marginally higher values than ZT-FB and significantly higher value than CT-FB. Both CT-FIRB and ZT-FB were at par for CE and CSI.
Missed clinic visits in youth living with HIV in Alabama: A Cohort Study
Authors: Hao Jiaying , Long Dustin M. , Relyea-Ashley Heather M. , Budhwani Henna , Simpson Tina Y. , Hill Samantha V. 
Published: December 2022

Abstract
Introduction: Missed visits are associated with poorer treatment and health outcomes among people living with HIV (PLWH). Studies have found that demographic factors and viral suppression are associated with missed visits. However, gaps in knowledge remain related to how missed visits may affect youth living with HIV (YLWH), a vulnerable subpopulation.
Methods: In this exploratory study, we examined data from an Alabama academic Ryan White funded HIV clinic to assess correlations of missed visits among young clients (ages 16 to 24). Ninety-six YLWH seen between March 1, 2020 to August 31, 2021 were included. Chi-square test was used to establish the association between missed visits and treatment outcomes. Unadjusted binary logistic regression analysis was performed to estimate the factors associated with missed visits.
Results: Fifty youth clients (46.88%) had at least one missed visit. Missed visits were associated with one negative treatment outcome: YLWH with missed visits had more viral load rebound (p=0.04). We also found that identifying as a cisgender male (OR=3.35, 95% CI: 1.10-10.20) and being virally suppressed at the index visit (OR=0.41, 95% CI: 0.18-0.94) were associated with missed visits among YLWH.
Conclusion: Missed visits is an important indicator of retention in HIV care for youth. More research is needed to elucidate risk factors associated with missed visits in YLWH in order to better inform intervention development and improve retention in care for youth.
Clinical Trial Information Extraction with BERT
Authors: Liu Xiong , Hersch Greg L. , Khalil Iya , Devarakonda Murthy 
Published: December 2022

Abstract
Background

Clinical trials are the gateway to new treatments. Clinical trial designs are documented in unstructured text and insights from natural language processing (NLP) of the documents can be useful in new trial design. Here we identify entity and relation types relevant to clinical trial design and propose a framework called CT-BERT to extract entities and relations from the clinical trial documents.

Methods

CT-BERT uses BERT models for named entity recognition (NER) and a hybrid approach for relation extraction including rule-based and machine learning-based models. We trained NER models to extract eligibility criteria entities by fine-tuning a set of pre-trained BERT models, including BERT, BioBERT, ClinicalBERT and BlueBERT. We then developed a rule-based relation extraction model to extract relations based on the NER results. For comparison, we also trained machine learning models using BERT to classify entity pairs into relation types. We compared the performance of CT-BERT with recent baseline methods including attention-based BiLSTM (Att-BiLSTM) and Criteria2Query.

Results

The NER training result shows that BioBERT large fine-tuned on clinical trials data achieves the best F1 score and is thus selected as the optimal NER model for CT-BERT. The result on a benchmark dataset showed that CT-BERT NER outperforms Att-BiLSTM and Criteria2Query. CT-BERT NER achieves 0.844 F1, while Att-BiLSTM and Criteria2Query achieve 0.802 F1 and 0.804 F1, respectively. For relation extraction, the CT-BERT rule-based model achieves 0.870 F1, while the equivalent model in Criteria2Query only achieves 0.793 F1. The CT-BERT rule-based model also outperforms the machine learning models trained on a curated relation data set. This suggests the advantage of the rule-based method in relation extraction.

Conclusions

The NER and relation extraction results demonstrate the effectiveness of CT-BERT for clinical trial information extraction. These results form the foundation for advancing clinical trials NLP towards AI-enhanced clinical trial design.