bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patterns of sleep disturbances and associations with depressive symptoms in autistic young adults
Authors: Lampinen Linnea A. , Zheng Shuting , Taylor Julie Lounds , Adams Ryan E. , Pezzimenti Florencia , Asarnow Lauren D. , Bishop Somer L. 
Published: September 2022

AbstractAutistic individuals are at an increased risk for both sleep disturbances and depression. While studies in the general population and in autistic adults have drawn general links between sleep disturbances and mental health, few studies have examined the extent to which specific sleep problems may be implicated in the extremely high rates of depression among autistic adults. This study aimed to describe the patterns of sleep disturbances in autistic young adults, and their associations with depressive symptoms while controlling for relevant demographic factors. A sample of 304 legally independent adults (age 18–35 years old) with a childhood diagnosis of autism spectrum disorder self‐reported on their average sleep behaviors during the past week and depressive symptoms on the Beck Depressive Inventory‐II. A significant proportion (86.01%) of autistic young adults experienced at least one of the primary sleep disturbances of interest, including short total sleep time (39.59%), poor sleep efficiency (60.07%), and delayed sleep phase (36.18%). Additionally, lower sleep efficiency and delayed sleep phase were both associated with higher depressive symptoms. The associations between sleep and depressive symptoms identified in our study suggest that sleep treatments may hold potential for ameliorating depressive symptoms in autistic adults who also experience sleep problems. Further research using daily sleep diaries and objective measures of sleep behaviors, as well as longitudinal studies, are needed to understand how changes in sleep may relate to changes in depressive symptoms in autistic adults.
Quantification of monoamine biomarkers in cerebrospinal fluid: Comparison of a UHPLC–MS/MS method with a UHPLC coupled to fluorescence detection method
Authors: Boulghobra Ayoub , Abar Taous , Moussa Fathi , Baudin Bruno , Rodriguez Diana , Pallandre Antoine , Bonose Myriam 
Published: September 2022

AbstractInborn errors of monoamine neurotransmitter metabolism are rare genetic diseases classified as catecholamine and serotonin metabolism disorders or neurotransmitter transportopathies. To diagnose these orphan diseases, monoamine metabolites have been identified and validated as cerebrospinal fluid (CSF) biomarkers: 5‐hydroxy‐tryptophane, 5‐hydroxy‐indol‐acetic acid, 3‐ortho‐methyl‐DOPA, homovanillic acid, and 3‐methoxy‐4‐hydroxyphenylglycol. The present work presents a UHPLC–MS/MS method developed for the quantification of these metabolites in CSF and compares it with a previously described UHPLC with fluorescence detection (UHPLC‐FD) method. MS/MS detection was performed in positive electrospray ionization and multiple reaction monitoring mode. The UHPLC–MS/MS and UHPLC–FD methods were validated in terms of accuracy, linearity, precision and matrix effect. The lower limits of quantification (LLOQ) ranged between 0.5 and 10 nm and between 1 and 5 nm for the UHPLC–MS/MS method and the UHPLC–FD one, respectively. We verified the applicability of both methods by analyzing 30 CSF samples. The measured concentrations were comparable with the reference values described in the literature. The two methods allowed pathological samples to be distinguished from healthy ones for clinical diagnosis. UHPLC–MS/MS and UHPLC–FD methods exhibited very close LLOQs. As the UHPLC–MS/MS method is more selective, it allows faster analysis with a run time of 6 min per run vs. 10 min for the UHPLC–FD method.
An integrated stage‐tip‐based glycomic and glycoproteomic approach for simple and rapid N‐glycosylation profiling of glycoproteins
Authors: Kayili Hacı Mehmet , Ragoubi Zidan M. E. , Salih Bekir 
Published: September 2022

AbstractGlycosylation is a post‐translational modification that plays an active role in many cellular events. It also regulates many functions of proteins. Monoclonal antibody‐derived drugs are used to treat many diseases, and glycosylation affects the activity of such drugs developed. On the other hand, N‐glycans may change in certain diseases. Therefore, rapid and efficient bioanalytical methods are needed for N‐glycosylation profiling. The study aimed to develop an integrated stage‐tip application for the simple and rapid N‐glycosylation profiling of glycoproteins. A fast and inexpensive N‐glycosylation profiling was achieved by integrating all glycoproteomic and glycomic sample preparation steps into a stage‐tip. The glycomic approach of the integrated stage‐tip reduces the N‐glycan profiling time from 2 days to approximately 2.5 hours. It also allows the profiling of immunoglobulin G (IgG) N‐glycopeptides directly from human plasma. In addition, N‐glycosylation profiling can be done in the developed method without sorbents, C18 or others, such as strong‐cation exchange, at the glycopeptide level.
Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma
Authors: Bai Bing‐li , Wu Zong‐yi , Weng She‐ji , Yang Qing 
Published: September 2022

AbstractBackgroundOsteosarcoma is well‐established as the most common bone cancer in children and adolescents. Patients with localized disease have different prognoses and management than those with metastasis at the time of diagnosis. The purpose of this study was to explore potential risk factors for metastatic disease.MethodsThe Surveillance, Epidemiology, and End Results (SEER) Program database was used to identify patients diagnosed with osteosarcoma between 2004 and 2015. We developed prediction models for distant metastasis using six machine learning (ML) techniques, including logistic regression (LR), support vector machine (SVM), Gaussian Naive Bayes (GaussianNB), Extreme Gradient Boosting (XGBoost), random forest (RF), and k‐nearest neighbor algorithm (kNN). The adaptive synthetic (ADASYN) technique was used to deal with imbalanced data. The Shapley Additive Explanation (SHAP) analysis generated visualized explanations for each patient. Finally, the average precision (AP), sensitivity, specificity, accuracy, F1 score, precision‐recall curves, calibration plots, and decision curve analysis (DCA) were conducted to evaluate the models' effectiveness.ResultsThe six machine learning algorithms achieved AP of 0.661–0.781 for predicting distant metastasis. The RF model yielded the best performance with an accuracy of 71.8 percent and an AP of 0.781 and was highly dependent on tumor size, primary surgery, and age. SHAP analysis provided model‐independent interpretation, highlighting significant clinical factors associated with the risk of metastasis in osteosarcoma patients.ConclusionsAn accurate machine learning‐based prediction model was established for metastasis in osteosarcoma patients to help clinicians during clinical decision‐making.
Variability in healthcare delivery: It is never a good thing
Authors: Butman Samuel M. 
Published: September 2022

AbstractIn medicine, wide variations in healthcare delivery or outcomes are a sign of missing information and beg for more information in a timely resolution. While differences in patient selection for intervention in out‐of‐hospital‐cardiac‐arrest in Wales and England might seem regional, there is little reason to assume this is not true across many other geographical areas.
Possibility of using wheat germ and wheat germ protein isolate for high‐protein pasta production
Authors: Teterycz Dorota , Sobota Aldona , Starek Agnieszka 
Published: September 2022

AbstractBackground and ObjectivesThere is a growing demand in the food market for vegan and vegetarian products. However, they often contain incomplete protein and small amounts of protein. Therefore, plant‐enriched products with increased nutritional and biological value are increasingly being sought. This study was undertaken to determine the effect of adding wheat germ (WG) (wheat milling by‐product) and wheat germ protein isolate (WGPI) to durum wheat pasta. The aim of this study was to obtain high‐protein wheat pasta with an improved amino acid composition. Another objective was to evaluate the physicochemical parameters and assess the cooking quality of obtained pasta samples.FindingsPasta was enriched with the addition of milled WG at 5%, 10%, 15%, 20%, and 25% or WGPI at 4%, 8%, and 12%. The study showed that the addition of 25% WG and 12% WGPI increased the protein content in the pasta by 35% and 53%, respectively, compared to the control sample. Both raw materials improved the amino acid composition of the pasta but only the addition of 12% WGPI resulted in a twofold increase in the lysine content and yielded a product with complete protein.ConclusionsHigh‐protein pasta was obtained through enrichment of wheat semolina pasta with 25% of WG or 8% of WGPI. The WG and WGPI addition yielded pasta with high cooking quality and increased firmness.Significance and NoveltyProtein isolate obtained from wheat germ can be successfully used to produce high‐protein pasta.
Design and evaluation of a prosthetic socket for a patient with diabetic‐related transtibial amputation: A case report
Authors: Bagheripour Batoul , Mardani Mohammad Ali , Hajiaghaei Behnam , Biglarian Akbar , Babaee Taher , Pezham Hamid 
Published: September 2022

AbstractThis is a report of a diabetic transtibial amputee with severe pain and ulcer in the antero‐distal of the tibia. A novel prosthetic socket with an antero‐distal silicone wall was designed. The result showed that the patient's satisfaction was increased and the average peak pressure was reduced by using the new socket design.
Father–Son COVID‐19‐associated mucormycosis: Important role of genetic susceptibility in combination with environmental factors
Authors: Pourazizi Mohsen , Eshraghi Bahram , Azad Roya , Afshar Kimia , Mohammadbeigy Iman 
Published: September 2022

AbstractIn this report, a father with a history of diabetes mellitus and his son without a remarkable past medical history, both got COVID‐19‐ associated mucormycosis (CAM) as evidenced by their clinical and radiological findings. This suggests the possible role of genetics in combination with the environment in susceptibility to CAM.
First‐Principles Design of a Highly Active and Selective V2CO2‐Based Double‐Atom Catalyst for Ethane Dehydrogenation to Ethylene
Authors: Wan Jin , Wang Yanwei , Zhang Huijuan , Wang Yu 
Published: September 2022

AbstractThe electrocatalytic ethane dehydrogenation to ethylene reaction (EDH) offers an alternative to the traditional steam cracking method for sustainable ethylene production but suffers sluggish kinetics due to the inert C−H bonds. Herein, a novel strategy is proposed for designing efficient double‐atom catalysts (DACs) via first principle calculations. We examined the C−H activation of methane by single‐atom catalysts (SACs) and constructed activity maps using activation energy as the activity descriptor, where methane is the simplest probe molecule to establish trends in C−H activation. Particularly, due to the strong d‐σ* coupling between ethane and Rh atoms, Rh2@V2CO2 presents excellent EDH performance with particularly low energy barriers (0.64 eV for the C2H6* to C2H5* step and 0.63 eV for the C2H5* to C2H4* step). This work not only demonstrates the possibility of developing novel DACs for EDH but also provides a new strategy for designing efficient DACs.
Priorities and challenges: Wealth management and financial planning among affluent Black families
Authors: Addo Fenaba R. , Beverly Keith 
Published: September 2022

AbstractThis article highlights common financial issues and concerns of affluent Black American households as they attempt to build and maintain long‐term financial stability. In so doing, we shed light on the nexus of Black families seeking professional wealth management services and Black financial planners working to meet their needs while also attempting to carve out a successful business in a profession and industry within which they are woefully underrepresented. A collaboration of a wealth inequality scholar and financial planning professionals from a wealth management company, this article outlines common planning priorities and challenges raised by African‐American families with their planning advisors. While many of these are universal, they also represent topics that are overwhelmingly prioritized by Black clients. When possible, we use information from the 2019 Survey of Consumer Finances on households located in the top quintile of the Black wealth distribution, the “affluent,” to complement the information provided by the analysts of their targeted clientele.
QT and Tpeak‐Tend interval variability: Predictive electrical markers of hospital stay length and mortality in acute decompensated heart failure. Preliminary data
Authors: Piccirillo Gianfranco , Moscucci Federica , Carnovale Myriam , Bertani Gaetano , Lospinuso Ilaria , Di Diego Ilaria , Corrao Andrea , Sabatino Teresa , Zaccagnini Giulia , Crapanzano Davide , Rossi Pietro , Magrì Damiano 
Published: September 2022

AbstractBackgroundAs previously reported, an increased repolarization temporal imbalance induces a higher risk of total/cardiovascular mortality.HypothesisThe aim of this study was to assess if the electrocardiographic short period markers of repolarization temporal dispersion could be predictive of the hospital stay length and mortality in patients with acutely decompensated chronic heart failure (CHF).MethodMean, standard deviation (SD), and normalized variance (VN) of QT (QT) and Tpeak‐Tend (Te) were obtained on 5‐min ECG recording in 139 patients hospitalized for acutely decompensated CHF, subgrouping the patients for hospital length of stay (LoS): less or equal 1 week (≤1 W) and those with more than 1 week (>1 W).ResultsWe observed an increase of short‐period repolarization variables (TeSD and TeVN, p < .05), a decrease of blood pressure (p < .05), lower ejection fraction (p < .05), and higher plasma level of biomarkers (NT‐proBNP, p < .001; Troponin, p < .05) in >1 W LoS subjects. 30‐day deceased subjects reported significantly higher levels of QTSD (p < .05), Te mean (p < .001), TeSD (p < .05), QTVN (p < .05) in comparison to the survivors. Multivariable Cox regression analysis reported that TeVN was a risk factor for longer hospital stay (hazard ratio: 1.04, 95% confidence limit: 1.01–1.08, p < .05); whereas, a longer Te mean was associated with higher mortality risk (hazard ratio: 1.02, 95% confidence limit: 1.01–1.03, p < .05).ConclusionA longer hospital stay is considered a clinical surrogate of CHF severity, we confirmed this finding. Therefore, these electrical and simple parameters could be used as noninvasive, transmissible, inexpensive markers of CHF severity and mortality.
Simulation study of small domain with calibration approach
Authors: Ashutosh Ashutosh , Shahzad Usman , Al‐Noor Nadia H. , Rai Piyush Kant 
Published: September 2022

SummarySome of the flexible models are available in the statistics literature are exponential and power distribution. They are very helpful in the modeling for situations when the shape and distribution of interested variables are positively skewed. We are presenting the calibration based estimates of domain total for exponential and the power model under such prevailing circumstances. Two different situations are considered: (i) domain total of the auxiliary variable is known and (ii) domain total of the auxiliary variable is unknown. To overcome the difficulties, to get calibration weights under second situation, two phase sampling technique is utilized. The Newton–Raphson method of approximation is used to estimate the Lagrange's multiplier. In addition, the efficiency of the proposed estimator has been given with support of the proposed weights under shortest Chi‐square distance function. A numerical value based on the simulation study in terms of absolute relative bias and simulated relative standard error have been given using a real data of the Sweden municipality 1984 for comparison of the estimators. Finding shows that the proposed power function based calibration estimator is more efficient than the existing calibration based estimators of the domain total in both the situations.
Dinuclear Cobalt Complexes for Homogeneous Water Oxidation: Tuning Rate and Overpotential through the Non‐Innocent Ligand
Authors: Hsu Wan‐Chi , Zeng Wan‐Qin , Lu I‐Chung , Yang Tzuhsiung , Wang Yu‐Heng 
Published: September 2022

AbstractIn this study, dinuclear cobalt complexes (1 and 2) featuring bis(benzimidazole)pyrazolide‐type ligands (H2L and Me2L) were prepared and evaluated as molecular electrocatalysts for water oxidation. Notably, 1 bearing a non‐innocent ligand (H2L) displayed faster catalytic turnover than 2 under alkaline conditions, and the base dependence of water oxidation and kinetic isotope effect analysis indicated that the reaction mediated by 1 proceeded by a different mechanism relative to 2. Spectroelectrochemical, cold‐spray ionization mass spectrometric and computational studies found that double deprotonation of 1 under alkaline conditions cathodically shifted the catalysis‐initiating potential and further altered the turnover‐limiting step from nucleophilic water attack on (H2L)CoIII2(superoxo) to deprotonation of (L)CoIII2(OH)2. The rate–overpotential analysis and catalytic Tafel plots showed that 1 exhibited a significantly higher rate than previously reported Ru‐based dinuclear electrocatalysts at similar overpotentials. These observations suggest that using non‐innocent ligands is a valuable strategy for designing effective metal‐based molecular water oxidation catalysts.
Input parallel–output parallel connected modular nonisolated DC‐DC converters with current self‐sharing capability operating in discontinuous conduction mode
Authors: de Kremes William Jesus , de Andrade Jessika Melo , Chokkalingam Bharatiraja , Illa Font Carlos Henrique , Lazzarin Telles Brunelli 
Published: September 2022

AbstractThis paper covers the self‐sharing analysis of dc‐dc nonisolated converters with input parallel–output parallel (IPOP) configuration and operating in discontinuous conduction mode (DCM). The main contribution of the proposed system is its capability of providing self‐sharing of the currents on both sides of each individual converter, without average current sharing control, even in the face of parametric variations. This self‐balance only occurs for DCM. When the addressed converters operate in continuous conduction mode (CCM), the self‐sharing does not occur naturally under parametric differences among them, requiring the use of additional control loops. The use of self‐sharing converters in nonisolated converters simplifies the control system, it makes the modular solution being attractive for many applications, and it increases the power range that the DCM converters may be applied. This paper brings the theoretical study of self‐sharing of the current mechanism to six basic nonisolated converters operating in DCM. The self‐sharing is verified by experimental results, which are obtained from three modules of dc‐dc SEPIC converters. Both converters were designed to operate with 200‐V input voltage, 125‐V output voltage, 1500‐W rated power (500 W each module), and switching frequency at 30 kHz.
Inhibition of proteasomal deubiquitinases USP14 and UCHL5 overcomes tyrosine kinase inhibitor resistance in chronic myeloid leukaemia
Authors: Jiang Liling , He Qingyan , Chen Xin , Liu Aochu , Ding Wa , Zhang Haichuan , Chen Xinmei , Zhou Huan , Meng Yi , Liu Bingyuan , Peng Guanjie , Wang Chunyan , Liu Jinbao , Shi Xianping 
Published: September 2022

AbstractBackgroundChronic myeloid leukaemia (CML) is a haematological cancer featured by the presence of BCR‐ABL fusion protein with abnormal tyrosine kinase activation. Classical tyrosine kinase inhibitor (TKI)‐based therapies are available to patients with CML. However, acquired resistance to TKI has been a challenging obstacle, especially stubborn T315I mutation is the most common cause. Therefore, it is especially urgent to find more effective targets to overcome TKI resistance induced by BCR‐ABLT315I. Proteasomal deubiquitinases (USP14 and UCHL5) have fundamental roles in the ubiquitin‐proteasome system and possess multiple functions during cancer progression.MethodsThe human peripheral blood mononuclear cells were collected to measure the mRNA expression of USP14 and UCHL5, as well as to detect the toxicity effect of b‐AP15. We explored the effect of b‐AP15 on the activity of proteasomal deubiquitinases. We detected the effects of b‐AP15 on BCR‐ABLWT and BCR‐ABLT315I CML cells in vitro and in the subcutaneous tumour model. We knocked down USP14 and/or UCHL5 by shRNA to explore whether these proteasomal deubiquitinases are required for cell proliferation of CML.ResultsIn this study, we found that increased expression of the proteasomal deubiquitinase USP14 and UCHL5 in primary cancer cells from CML patients compared to healthy donors. b‐AP15, an inhibitor of USP14 and UCHL5, exhibited potent tumour‐killing activity in BCR‐ABLWT and BCR‐ABLT315I CML cell lines, as well as in CML xenografts and primary CML cells. Mechanically, pharmacological or genetic inhibition of USP14 and UCHL5 induced cell apoptosis and decreased the protein level of BCR‐ABL in CML cells expressing BCR‐ABLWT and BCR‐ABLT315I. Moreover, b‐AP15 synergistically enhanced the cytotoxic effect caused by TKI imatinib in BCR‐ABLWT and BCR‐ABLT315I CML cells.ConclusionCollectively, our results demonstrate targeting USP14 and UCHL5 as a potential strategy for combating TKI resistance in CML.
A novel methodology to integrate outcomes regarding perioperative pain experience into a composite score: Prediction model development and validation
Authors: Jiang Bailin , Liu Yanhong , Wu Yaqing , Mi Weidong , Feng Yi 
Published: September 2022

AbstractBackgroundAn integrated score that globally assesses perioperative pain experience and rationally weights each component has not yet been developed.MethodsA development dataset specific to adult Chinese patients undergoing orthopaedic surgery was obtained from PAIN OUT (1985 qualified patients of 2244). A more recent validation dataset obeying the same conditions was obtained from the Chinese Anaesthesia Shared‐database Platform (1004 qualified patients of 1032). Outcomes were assessed using the International Pain Outcomes Questionnaire (IPO‐Q), which comprises key patient‐level outcomes of perioperative pain management, including pain experience and perceptions of care. Using principal component analysis and regression models, a composite score (CS) was inferred to integrate pain experience. The discrimination of the CS for dissatisfaction and desire for more pain treatment was compared with that of the worst pain score.ResultsA CS was developed from the 12 items of the IPO‐Q regarding pain experience. The weight for calculating the CS was worst pain 11, least pain 17, time spent in severe pain 11, interference with activity in bed 9, interference with breathing deeply or coughing 10, interference with sleep 9, anxiety 12, helplessness 12, nausea 0, drowsiness 2, itch 5 and dizziness 2. In external validation, the CS indicated superior discrimination to the worst pain in predicting dissatisfaction (p < 0.001) and desire for more pain treatment (p < 0.001).ConclusionsThis study introduced a methodology to integrate outcomes regarding perioperative pain experience into a CS, which was based on the weight of each item.SignificanceThis novel methodology sheds additional light on the riveting issue of carefully integrating several measures into a composite endpoint, which may be useful for quality improvement purposes when addressing the impact of a change in clinical practice.