bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discerner les trois types de voix saturées du genre musical métal : les implications sur la recherche
Authors: Cardinal Corinne 
Published: January 2023

Les travaux sur les techniques vocales de chant guttural pratiquées dans la musique métal ne font que depuis peu l’objet de publications. À ce retard s’ajoute un manque de cohésion évident dans la littérature secondaire. En l’absence d’une terminologie efficace, les études tendent à se contredire l’une l’autre. Cet imbroglio obscurcit la connaissance, nécessaire afin de baliser la pratique et d’assurer une maîtrise adéquate de ces techniques vocales. Sans quoi, les apprenti·e·s chanteur·se·s encourent des risques de blessures.
Cet article pose les fondements des trois principales techniques de la voix saturée situées au coeur de la musique métal, soit le growl, le fry scream et le harsh vocal. La compréhension de leurs dissemblances invite à une classification rigoureuse et à une meilleure compréhension de l’instrument vocal.
Development of a Clinically Viable Strategy for Nanoparticle‐Based Photodynamic Therapy of Colorectal Cancer
Authors: Guidolin Keegan , Ding Lili , Chen Juan , Zheng Gang 
Published: January 2023

AbstractPhotodynamic therapy (PDT) is an anticancer treatment modality that is poorly adopted into clinical practice for a variety of factors. Though fundamental studies supporting its utility abound, few clinical trials are performed on its use. This may be due to failures in the translation of treatment protocols used in fundamental studies into clinically viable protocols. This study seeks to develop a clinically viable protocol for the treatment of colorectal cancer using nanoparticle‐based PDT by using three complementary animal models. Using the porphysome nanoparticle as a model photosensitizer, several theoretical and practical challenges to the clinical delivery of PDT are addressed including the required drug‐light interval (DLI), the route of administration, and the method of light irradiation delivery. This study finds that nanoparticle‐based PDT can effectively ablate colorectal cancer tumors, that PDT can be effectively delivered after a relatively short DLI, and that safety concerns related to off‐target effects can be mitigated through the peritumoral administration of the photosensitizer and the transanal intraluminal placement of light irradiation. These findings lay the framework for future clinical trials investigating the use of PDT as a component of the multi‐modal approach to the treatment of colorectal cancer.
Multiple model averaging methods for predicting regional rice yield
Authors: Yu Jin , Tan Shuang , Zhan Jungang 
Published: January 2023

AbstractUsing multiple crop models in an ensemble can generate more accurate crop growth predictions than only using an individual crop model. However, few studies have investigated the performances of individual crop models and multiple model averaging (MMA) methods for predicting regional rice (Oryza sativa L.) yield with limited inputs and observations. This study assessed the performances of three individual crop models, that is, AquaCrop, WOFOST, and Oryza version 3 (OryzaV3), and five MMA methods for predicting regional rice yield. Results showed that the AquaCrop model achieved better performances than the WOFOST and OryzaV3 models for predicting regional rice yield, especially for the early‐season rice yield, which implied that a crop model with a simple structure was powerful for making accurate regional rice yield predictions. The MMA methods achieved better performances than the AquaCrop model for predicting the late‐season rice yield; however, the AquaCrop model and three information criterion (IC) methods, that is, Akaike IC (AIC), Bayesian IC (BIC), and AICc (bias‐corrected), achieved more acceptable prediction accuracies of the early‐season rice yield than the other MMA methods. Overall, not all the MMA methods could necessarily produce more accurate regional rice yield prediction than individual crop models. This study suggested using the simple‐structure crop models and the AIC, AICc, and BIC methods for making accurate regional crop yield prediction when limited data are available for model parameters calibration.
Linking the proximal tibiofibular joint to hominid locomotion: A morphometric study of extant species
Authors: Pietrobelli Annalisa , Sorrentino Rita , Benazzi Stefano , Belcastro Maria Giovanna , Marchi Damiano 
Published: January 2023

AbstractObjectivesWe perform a comparative assessment of shape variation of the proximal fibula in extant humans and great apes, intending to investigate the possible link between proximal fibular shape and locomotor patterns.MethodsOur sample includes 94 fibulae of 37 Homo sapiens, 15 Gorilla, 17 Pongo, and 25 Pan. Fibular morphology was investigated through three‐dimensional (semi)landmark‐based geometric morphometric methods.ResultsWe found unique features of the human fibular head compared to that of great apes (i.e., oblique articular surface, the presence of the styloid process, specific morphology of muscle attachment sites), supporting the functional role of this bone in relation to human obligate bipedalism. Great apes also showed distinctive traits in their proximal fibula morphology, in agreement with differences in locomotor behavior.ConclusionThe morphology of the proximal fibula in extant humans and great apes is indicative of locomotor behavior, offering the potential for the comparative analysis of fossil hominin remains.
Anatomical distribution of endometriosis: A cross‐sectional analysis of transvaginal ultrasound in symptomatic patients
Authors: Manieri Rocha Rodrigo , Leonardi Mathew , Eathorne Allie , Armour Mike , Condous George 
Published: January 2023

AbstractPurposeThe anatomical distribution of deep endometriosis (DE) is essential in treating patients with symptoms associated with the disease. There is an evidence gap in correlating clinical features and symptoms with disease patterns. The study aimed at determining DE anatomic distribution based on advanced transvaginal ultrasound and describe the relationship with symptoms obtained with the World Endometriosis Foundation Questionnaire.MethodsA cross‐sectional study included 549 ultrasound results and 370 questionnaire responses between July 2018 and January 2021. Descriptive statistics are presented. Continuous variables were compared by a simple t‐test and ANOVA and categorical variables by the chi‐squared test. Logistic regression and R2 values summarised the relationship between positive ultrasound and possible predictor variables (software SAS version 9.4).ResultsThe anatomical locations with signs of endometriosis on ultrasound were the right uterosacral ligament (USL) 23.3% (n = 128), left USL 21.3% (n = 117) and bowel 19.1% (n = 105). Endometriomas in the right and left ovaries (14%, n = 77, and 14.7%, n = 81 respectively), superficial endometriosis in 15.5% (n = 85), torus uterinus in 11.7% (n = 64), Pouch of Douglas (POD) in 9.7% (n = 53), rectovaginal septum in 4.2% (n = 23), vaginal fornix in 3.5% (n = 19). A negative ‘sliding‐sign’ was noted in 25.3% (n = 139), and ovarian medial immobility was noted frequently (left 20.2%, n = 111 and right 16.9%, n = 93). Dyspareunia, dysmenorrhoea, infertility and family history were associated with endometriosis lesions (P < 0.05). Prediction models based on symptomatology presented low discriminatory power.DiscussionThis large real‐life cohort associating the description of the anatomical distribution of endometriosis as seen on advanced TVS in symptomatic patients confirmed that uterosacral ligaments, torus uterinus, ovaries and bowel represent the most common anatomical sites of endometriosis. Also, the dynamic abnormalities elicited via ultrasound, such as the uterus ‘sliding‐sign’ and ovarian mobility, remain common. The knowledge of the general locations of identifiable endometriosis on ultrasound and the dynamic abnormalities is essential to sonologists and sonographers in implementing advanced TVS protocols to detect endometriosis. In addition, the different presentations of dyspareunia can be associated with USL and bowel endometriosis. Subfertility might also be associated with USL, ovarian and bowel endometriosis. Nevertheless, prediction models showed suboptimal results.ConclusionsEndometriosis is mainly distributed in USLs, bowel and ovaries. POD obliteration is frequent. Symptoms can be associated with anatomic locations; however, prediction models showed low clinical applicability.
Synthesis of a novel biodegradable curing agent modified by castor oil for polyacrylate adhesive applications
Authors: Cai Yangben , Chen Guofei , Yu Zhujun , Lu Jianxian , Fang Xingzhong 
Published: January 2023

AbstractA novel functional carbamate oligomer with high curing activity was prepared by addition polymerization using diisocyanate and castor oil (CO) and used as curing agent for polyacrylate adhesive. The influence factors of such modified castor oil (mCO) preparation, including monomer type, NCO/OH group mole ratio, reaction temperature and time, were explored. When the CO was reacted with hexamethylene diisocyanate among the NCO/OH group mole ratio of 0.56–0.75 at 75°C for 4 h, the NCO value of mCO could be in the range between 0.10 and 0.20 mmol/g. At this point, the peel adhesion and the tack of the adhesive with mCO in the mass ratio of 1/1 can be above 2.3 N/cm and 23#, respectively. In addition, the influence of rosin resin content, polyacrylate content, and the active equivalent of mCO on the properties of adhesive tape was studied in detail. When the pressure sensitive adhesive is prepared by 50% polyacrylate, 25% mCO and 25% rosin resin, the peel adhesion and the tack can reach 4.63 N/cm and 23#. The relative biodegradation rate of cured adhesive with 25% of mCO and 25% of rosin resin is 47.56% after 45 days, with an increase of 80.95% compared to that of pure adhesive. The highly biodegradable mCO endows the adhesive tape with better mechanical property and biodegradability, thus making it a promising adhesive tape for packing applications.
Double valve replacement in a case of Hedinger syndrome
Authors: Pathare Presheet , Weyand Michael , Heim Christian 
Published: January 2023

AbstractHedinger Syndrome or carcinoid heart disease is a rare cardiac complication of neuroendocrine tumors (NET) affecting the tricuspid and pulmonary valves. Following is a case description of a patient undergoing treatment for a neuroendocrine tumor with liver metastasis, referred with symptomatic tricuspid valve regurgitation and pulmonary valve stenosis for surgical valve replacement. Planned surgical valve replacement was successfully performed before the onset of severe right ventricular failure or pulmonary hypertension in this case of carcinoid heart disease. An interdisciplinary approach and regular follow up is recommended in such cases.
Landscape of DNA damage response gene alterations in breast cancer: A comprehensive investigation
Authors: Jin Juan , Cao Jianing , Li Bin , Li Ting , Zhang Jian , Cao Jun , Zhao Mingchun , Wang Leiping , Wang Biyun , Tao Zhonghua , Hu Xichun 
Published: January 2023

AbstractBackgroundDNA damage response (DDR) gene alterations are prevalent in breast cancer (BC) and important for treatment decisions. Intensive studies on DDR alterations in BC are still needed.MethodsThe authors included 438 patients with metastatic breast cancer from their next‐generation sequencing database and 1091 patients with early‐stage breast cancer from The Cancer Genome Atlas (TCGA) database in the analysis to characterize molecular alterations in the DDR pathway.ResultsGermline DDR mutations were more prevalent in younger patients and those with HER2‐negative cancers. Tumors with germline DDR mutations more commonly had somatic DDR mutations, especially those with germline Fanconi anemia (FA) pathway mutations. Notably, 66.67% (four of six) of patients with germline PALB2 mutations had tumors that harbored somatic PALB2 mutations. No differences in prognosis were observed in patients with germline or tumor somatic DDR mutations compared to patients and tumors that were wild‐type. Compared to early BC, the frequency of somatic DDR mutations in metastatic cancers was significantly higher (24.89% vs. 16.02%, p < .001). Higher tumor mutation burdens were observed in cancers with somatic DDR mutations, but not in cancers with germline DDR mutations. Furthermore, tumors with somatic DDR mutations showed an abundance of anticancer immunological phenotypes. Somatic FA and mismatch repair pathway mutations were associated with increased expression of immune checkpoint molecules. Although most DDR genes were significantly positively associated with expression of proliferation‐related genes, PARP3 expression was negatively correlated with MKI67 expression. Lower PARP3 expression was associated with a worse prognosis in TCGA database by multivariate Cox analysis.ConclusionsPatients with germline FA mutations more frequently have tumors with somatic DDR mutations. Somatic DDR mutations lead to anticancer immunological phenotypes in BC. No differences in prognosis according to germline or somatic DDR mutations were found.
A deep and wide neural network to predict summer monsoon rainfall using time series data
Authors: Bajpai Vikas , Bansal Anukriti , Dash Subrat 
Published: January 2023

SummaryThe importance of monsoon rainfall cannot be ignored as it affects round‐the‐year activities ranging from agricultural to industrial. Due to the nonlinear and dynamic nature of monsoon rainfall, its accurate forecast becomes a challenging task. In this paper, we propose a novel deep and wide neural network model to predict summer monsoon rainfall using historical time‐series data of 118 years. We have considered Rajasthan as our area of study, which is the largest state of India with varying atmospheric regions. Two different types of datasets are used: gridded rainfall dataset from the Indian Meteorological Department (IMD) and station rainfall data from Water Resources Department (WRD). Results obtained on both the datasets demonstrate that a single model works well in efficiently predicting summer monsoon rainfall in different geographical regions of Rajasthan, ranging from plains and plateaus to deserts and hills. We compare the results with various advanced deep learning algorithms such as 1‐dimensional convolutional neural network, long short term memory, and multilayer perceptron. The comparison results show that the proposed method clearly outperforms these algorithms in terms of its forecasting ability, which is evaluated using root mean square error and mean absolute error.
Estimating neural activity from visual areas using functionally defined EEG templates
Authors: Poncet Marlene , Ales Justin M. 
Published: January 2023

AbstractElectroencephalography (EEG) is a common and inexpensive method to record neural activity in humans. However, it lacks spatial resolution making it difficult to determine which areas of the brain are responsible for the observed EEG response. Here we present a new easy‐to‐use method that relies on EEG topographical templates. Using MRI and fMRI scans of 50 participants, we simulated how the activity in each visual area appears on the scalp and averaged this signal to produce functionally defined EEG templates. Once created, these templates can be used to estimate how much each visual area contributes to the observed EEG activity. We tested this method on extensive simulations and on real data. The proposed procedure is as good as bespoke individual source localization methods, robust to a wide range of factors, and has several strengths. First, because it does not rely on individual brain scans, it is inexpensive and can be used on any EEG data set, past or present. Second, the results are readily interpretable in terms of functional brain regions and can be compared across neuroimaging techniques. Finally, this method is easy to understand, simple to use and expandable to other brain sources.
A survey of critical care pharmacists on venous thromboembolism prophylaxis dosing practices with enoxaparin in adult trauma patients
Authors: McNeill Sydney E. , Alexander Kaitlin M. , Ladd Kelsey , Liu‐DeRyke Xi , Smith Chadwick , Hobbs Brandon 
Published: January 2023

AbstractEnoxaparin is the preferred treatment for venous thromboembolism (VTE) prophylaxis in trauma patients, but timing of initiation, optimal dosing, and therapeutic drug monitoring remain controversial. The objective of this study was to evaluate enoxaparin VTE prophylaxis practices in adult trauma patients across trauma centers in the United States and compare results to current guideline recommendations. An online survey designed by the study investigators was sent to pharmacist members of the American College of Clinical Pharmacy (ACCP) Critical Care Practice Research Network (PRN) and residency directors of institutions with accredited Critical Care Pharmacy Residency programs in the fall of 2021. This survey queried pharmacists' self‐reported practices regarding enoxaparin dosing and monitoring in trauma patients. One hundred five responses were collected with an estimated response rate of 5.3%. Most respondents reported using a standard enoxaparin dose of 30 mg subcutaneously (SUBQ) every 12 h (67%; 70/104) in trauma patients with normal renal function and higher initial dosing for obese trauma patients (75%; 78/104). The most common body mass index (BMI) threshold for dose adjustments in obesity was a BMI ≥40 kg/m2; whereas 100 kg or more was commonly reported for a weight threshold. Multiple alternative enoxaparin dosing regimens were reported for obese and overweight patients. Of respondents who monitor anti‐Factor Xa (anti‐Xa) levels, 84% (61/73) reported monitoring peak levels with 47% (29/61) targeting a peak anti‐Xa goal of 0.2–0.4 units/ml. Seventy‐five percent (51/68) of respondents who adjust enoxaparin dosing based on anti‐Xa level monitoring reported adjusting doses by increments of 10 mg SUBQ every 12 h, and 41% (28/68) indicated having a pharmacist‐driven protocol for dose adjustments. Significant variation exists in enoxaparin dosing and monitoring strategies for VTE prophylaxis. Consensus among clinical practice guidelines is needed to standardize practice nationally.
Bayesian estimation of Marshall Olkin extended inverse Weibull under progressive type II censoring
Authors: Lin Yu‐Jau , Okasha Hassan M. , Basheer Abdulkareem M. , Lio Yuh Long 
Published: January 2023

AbstractThe estimations of parameters and percentiles for a three‐parameter Marshall Olkin extended inverse Weibull distribution based on progressively type‐II censored sample are concerned. The Bayesian, least‐squares, maximum likelihood and percentiles estimate methods for the model parameters have been developed. Comparing all estimate methods, the least‐squares, maximum likelihood and percentiles estimate methods are shown not stable due to the identification problem in the extended parametric space. Therefore, the Bayes estimate methods are focused. Three Bayesian estimations of the distribution parameters andppercentiles for 2.5, 50 and 97.5 under the squared error loss, absolute error loss and LINEX loss functions are respectively calculated by using the Markov chain Monte Carlo sampling procedure. Moreover, two real data sets are presented for the application illustration. Finally, concluding remarks are addressed.
Neuroadaptive global sliding mode control for nonlinear systems and its application
Authors: Chu Yundi , Fei Juntao , Hou Shixi 
Published: January 2023

AbstractOne type of adaptive controller on the basis of an original dual‐loop recursive fuzzy neural network (DRFNN) with two closed loop structures for a kind of nonlinear dynamic systems is designed in this paper. Though the conventional FNN could approximate arbitrary smooth functions, the inner network parameters need to be set up in advance. Usually, the setting of the base width and central vector are lack of theoretical guidance to some degree and need to be debugged many times. However, the initial values of the center vector and the base width can be arbitrarily set and stable to optimal ones in the light of adaptive mechanism of the proposed dual recursive FNN. Besides, the dynamic dual recursive FNN possesses the ability of storing more beneficial information through constructing signal back loops, meanwhile accuracy of the approximation is higher than the traditional FNN. Furthermore, the learning speed and detection accuracy can be improved due to the fact that expert knowledge is a priori knowledge in the network structure by including if‐then rules of this FNN. To validate effectiveness of the developed scheme, simulations and three suits of experiments are carried out on a set of active power filter to demonstrate that this presented global sliding mode control using DRFNN can achieve expected performance. Eventually, some comparisons among FNN and the proposed DRFNN are implemented to suggest the dual recursive FNN can obtain more superior properties.
Extraction of Cerium (III) by a Solvent Extraction Technique Using Diaminododecylphosphonic Acid (DADTMTPA): Experimental, Density Functional Theory and Molecular Dynamic Studies
Authors: Ouazene Mokhtar , Yahia Cherif Fatima , Guendouzi Abdelmadjid , Kaid M'hamed , Villemin Didier , Abdelmouiz Ahmed , Guendouzi Abdelkrim 
Published: January 2023

AbstractThis paper aims to present the recent results progress on diaminododecylphosphonic acid (DADTMTPA) as an extractant of cerium (III) from Ce(NO3)3.6H2O solution medium. Different parameters including pH, temperature, extractant concentration, and foreign ions present in the aqueous phase were examined to investigate the extractional mechanism. The optimum conditions of solvent extraction of Ce(III) are as follows: under experimental conditions of 298 K and the initial concentration of Ce(III) being kept at 10−4 M at pH 3.50. The agitation duration of 5 min for a volume ratio equal to 2, and the best yield is 77 % in one‐step. An increase in the temperature reduced the extraction process. The DADTMTPA extracts Ce(III) after the second cycle with a yield of 95 %. The extraction thermodynamic parameters such as ΔG, ΔHand ΔS are also determined and reported. On the other hand, density functional theory (DFT) based on B97D3 functional with 6‐311++G(d,p) basis set analysis and molecular dynamics simulations were used to extremely fast methods at calculating the non‐bonded interactions and to understand its properties of molecular interactions, which have proved to be an adopted and useful tool to predict and describe the chemical behavior of the evolution of the system.
Relational interpretation of quantum mechanics and Alexander Bogdanov's worldview
Authors: Rovelli Carlo 
Published: January 2023

AbstractThere is a surprising parallel between the conceptual step taken by the theoretical physicists who discovered quantum mechanics in the 1920s and the philosophical work of Alexander Bogdanov. Both were under the direct cultural influence of the ideas of Ernst Mach. Even more surprisingly, there are aspects of the current debate on the physical interpretation of the quantum formalism that closely mirror the Lenin‐Bogdanov debate, in particular on the confusion between subjectivity and relationality. It seems to me that the ideas of Alexander Bogdanov can still bring clarity and be fertile today when applied to open issues in the foundations of physics.