bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of hip abductor and adductor strength on dynamic balance and ankle biomechanics in young elite female basketball players
Authors: Domínguez-Navarro Fernando , Benitez-Martínez Josep Carles , Ricart-Luna Borja , Cotolí-Suárez Pedro , Blasco-Igual Jose María , Casaña-Granell Jose 
Published: March 2022

AbstractThis study aimed to evaluate, in an isolated and relative manner, hip abductor (ABD) and adductor (AD) strength and to study the extent to which these factors are related to balance and ankle dorsiflexion mobility in young elite female basketball players. Sixty trainee-level elite female basketball players (13–18 years old), who voluntarily agreed to participate in the study, were divided into three subgroups based on competition age divisions (U14, U16, U18). Isometric hip ABD and AD strength in each leg was evaluated using the ForceFrame Strength Testing System, also calculating the strength ratio and imbalance between legs. Y Balance Test (YBT) and ankle dorsiflexion mobility were also assessed. ANOVA was used for between-group differences analysis. Likewise, the impact of hip strength on balance and ankle mobility was analyzed using Pearson's correlation coefficient. A linear regression model for dependent variables was created with all variables that exhibited significant correlations. A between-group comparison analysis for the three competition age subgroups (U14, U16, U18) revealed non-significant differences (p > 0.005) for the hip strength variables except for hip ABD strength. The correlation study showed low-moderate effect sizes for hip ABD (in both the contralateral and homolateral limb) and AD strength (only the homolateral limb) with YBT and ankle dorsiflexion. However, when performing a regression model, only right hip ABD significantly predicted right limb YBT scores (β = 0.592, p = 0.048). The present study indicated that, although both hip ABD and AD strength correlate with balance and ankle mobility with low-moderate effect sizes, only hip ABD strength was found to significantly predict YBT scores. Therefore, the potential role of hip ABD strength in particular, but also hip AD strength, for monitoring and enhancing balance and ankle mobility outcomes, should be taken into consideration when designing and implementing preventive strategies for lower-limb injuries.
miR-96-5p targets PTEN to mediate sunitinib resistance in clear cell renal cell carcinoma
Authors: Park Sang Eun , Kim Wonju , Hong Ji-Ye , Kang Dayeon , Park Seulki , Suh Jungyo , You Dalsan , Park Yun-Yong , Suh Nayoung , Hwang Jung Jin , Kim Choung-Soo 
Published: March 2022

AbstractA multiple receptor tyrosine kinase inhibitor, sunitinib, is a first-line therapy for clear cell renal cell carcinoma (CCRCC). Unfortunately, it has the major challenges of low initial response rate and resistance after about one year of treatment. Here we evaluated a microRNA (miRNA) and its target responsible for sunitinib resistance. Using miRNA profiling, we identified miR-96-5p upregulation in tumors from sunitinib-resistant CCRCC patients. By bioinformatic analysis, PTEN was selected as a potential target of miR-96-5p, which showed low levels in tumors from sunitinib-resistant CCRCC patients. Furthermore, PTEN and miR-96-5p levels were negatively correlated in a large The Cancer Genome Atlas kidney renal clear cell carcinoma cohort and high miR-96 and low PTEN represented poor prognosis in this cohort. Additionally, four-week sunitinib treatment increased miR-96-5p and decreased PTEN only in tumors from a sunitinib-resistant patient-derived xenograft model. We found a novel miR-96-5p binding site in the PTEN 3′ UTR and confirmed direct repression by luciferase reporter assay. Furthermore, we demonstrated that repression of PTEN by miR-96-5p increased cell proliferation and migration in sunitinib-treated cell lines. These results highlight the direct suppression of PTEN by miR-96-5p and that high miR-96-5p and low PTEN are partially responsible for sunitinib resistance and poor prognosis in CCRCC.
Virtual simulation of the biomechanics of the abdominal wall with different stoma locations
Authors: Tuset Lluís , López-Cano Manuel , Fortuny Gerard , López Josep M. , Herrero Joan , Puigjaner Dolors 
Published: March 2022

AbstractAn ostomy is a surgical procedure by which an artificial opening in the abdominal wall, known as a stoma, is created. We assess the effects of stoma location on the abdominal wall mechanics. We perform three-dimensional finite element simulations on an anatomy model which was generated on the basis of medical images. Our simulation methodology is entirely based on open source software. We consider seventeen different locations for the stoma incision (trephine) and we simulate the mechanical response of the abdominal wall when an intraabdominal pressure as high as 20 kPa is applied. We focus on factors related to the risk of parastomal hernia development such as the deformation experienced by the abdominal wall, the stress levels supported by its tissues and the corresponding level of trephine enlargement. No significant dependence was found between stoma location and the levels of abdominal wall deformations or stress supported by tissues, except for the case with a stoma located on the linea alba. Trephine perimeter and area respectively increased by as much as $$44\%$$

44
%

and $$85\%$$

85
%

. The level of trephine deformation depends on stoma location with considerably higher trephine enlargements found in stomas laterally located with respect to the rectus abdominis muscle.
Machine learning for technical skill assessment in surgery: a systematic review
Authors: Lam Kyle , Chen Junhong , Wang Zeyu , Iqbal Fahad M. , Darzi Ara , Lo Benny , Purkayastha Sanjay , Kinross James M. 
Published: March 2022

AbstractAccurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, automated, and reproducible feedback without the need for expert reviewers. We aimed to systematically review the literature and determine the ML techniques used for technical surgical skill assessment and identify challenges and barriers in the field. A systematic literature search, in accordance with the PRISMA statement, was performed to identify studies detailing the use of ML for technical skill assessment in surgery. Of the 1896 studies that were retrieved, 66 studies were included. The most common ML methods used were Hidden Markov Models (HMM, 14/66), Support Vector Machines (SVM, 17/66), and Artificial Neural Networks (ANN, 17/66). 40/66 studies used kinematic data, 19/66 used video or image data, and 7/66 used both. Studies assessed the performance of benchtop tasks (48/66), simulator tasks (10/66), and real-life surgery (8/66). Accuracy rates of over 80% were achieved, although tasks and participants varied between studies. Barriers to progress in the field included a focus on basic tasks, lack of standardization between studies, and lack of datasets. ML has the potential to produce accurate and objective surgical skill assessment through the use of methods including HMM, SVM, and ANN. Future ML-based assessment tools should move beyond the assessment of basic tasks and towards real-life surgery and provide interpretable feedback with clinical value for the surgeon.PROSPERO: CRD42020226071
Cytoskeletal dynamics regulates stromal invasion behavior of distinct liver cancer subtypes
Authors: Nguyen Ryan Y. , Xiao Hugh , Gong Xiangyu , Arroyo Alfredo , Cabral Aidan T. , Fischer Tom T. , Flores Kaitlin M. , Zhang Xuchen , Robert Marie E. , Ehrlich Barbara E. , Mak Michael 
Published: March 2022

AbstractDrug treatment against liver cancer has limited efficacy due to heterogeneous response among liver cancer subtypes. In addition, the functional biophysical phenotypes which arise from this heterogeneity and contribute to aggressive invasive behavior remain poorly understood. This study interrogated how heterogeneity in liver cancer subtypes contributes to differences in invasive phenotypes and drug response. Utilizing histological analysis, quantitative 2D invasion metrics, reconstituted 3D hydrogels, and bioinformatics, our study linked cytoskeletal dynamics to differential invasion profiles and drug resistance in liver cancer subtypes. We investigated cytoskeletal regulation in 2D and 3D culture environments using two liver cancer cell lines, SNU-475 and HepG2, chosen for their distinct cytoskeletal features and invasion profiles. For SNU-475 cells, a model for aggressive liver cancer, many cytoskeletal inhibitors abrogated 2D migration but only some suppressed 3D migration. For HepG2 cells, cytoskeletal inhibition did not significantly affect 3D migration but did affect proliferative capabilities and spheroid core growth. This study highlights cytoskeleton driven phenotypic variation, their consequences and coexistence within the same tumor, as well as efficacy of targeting biophysical phenotypes that may be masked in traditional screens against tumor growth.
PDGF regulates guanylate cyclase expression and cGMP signaling in vascular smooth muscle
Authors: Hildebrand Staffan , Ibrahim Mohamed , Schlitzer Andreas , Maegdefessel Lars , Röll Wilhelm , Pfeifer Alexander 
Published: March 2022

AbstractThe nitric oxide-cGMP (NO-cGMP) pathway is of outstanding importance for vascular homeostasis and has multiple beneficial effects in vascular disease. Neointimal hyperplasia after vascular injury is caused by increased proliferation and migration of vascular smooth muscle cells (VSMCs). However, the role of NO-cGMP signaling in human VSMCs in this process is still not fully understood. Here, we investigate the interaction between platelet derived growth factor (PDGF)-signaling, one of the major contributors to neointimal hyperplasia, and the cGMP pathway in vascular smooth muscle, focusing on NO-sensitive soluble guanylyl cyclase (sGC). We show that PDGF reduces sGC expression by activating PI3K and Rac1, which in turn alters Notch ligand signaling. These data are corroborated by gene expression analysis in human atheromas, as well as immunohistological analysis of diseased and injured arteries. Collectively, our data identify the crosstalk between PDGF and NO/sGC signaling pathway in human VSMCs as a potential target to tackle neointimal hyperplasia.
The burden of rare protein-truncating genetic variants on human lifespan
Authors: Liu Jimmy Z. , Chen Chia-Yen , Tsai Ellen A. , Whelan Christopher D. , Sexton David , John Sally , Runz Heiko 
Published: March 2022

AbstractGenetic predisposition has been shown to contribute substantially to the age at which we die. Genome-wide association studies (GWASs) have linked more than 20 loci to phenotypes related to human lifespan1. However, little is known about how lifespan is impacted by gene loss of function. Through whole-exome sequencing of 352,338 UK Biobank participants of European ancestry, we assessed the relevance of protein-truncating variant (PTV) gene burden on individual and parental survival. We identified four exome-wide significant (P < 4.2 × 10−7) human lifespan genes, BRCA1, BRCA2, ATM and TET2. Gene and gene-set, PTV-burden, phenome-wide association studies support known roles of these genes in cancer to impact lifespan at the population level. The TET2 PTV burden was associated with a lifespan through somatic mutation events presumably due to clonal hematopoiesis. The overlap between PTV burden and common variant-based lifespan GWASs was modest, underscoring the value of exome sequencing in well-powered biobank cohorts to complement GWASs for identifying genes underlying complex traits.
Risk assessment of COVID-19 epidemic resurgence in relation to SARS-CoV-2 variants and vaccination passes
Authors: Krueger Tyll , Gogolewski Krzysztof , Bodych Marcin , Gambin Anna , Giordano Giulia , Cuschieri Sarah , Czypionka Thomas , Perc Matjaz , Petelos Elena , Rosińska Magdalena , Szczurek Ewa 
Published: March 2022

AbstractThe introduction of COVID-19 vaccination passes (VPs) by many countries coincided with the Delta variant fast becoming dominant across Europe. A thorough assessment of their impact on epidemic dynamics is still lacking. Here, we propose the VAP-SIRS model that considers possibly lower restrictions for the VP holders than for the rest of the population, imperfect vaccination effectiveness against infection, rates of (re-)vaccination and waning immunity, fraction of never-vaccinated, and the increased transmissibility of the Delta variant. Some predicted epidemic scenarios for realistic parameter values yield new COVID-19 infection waves within two years, and high daily case numbers in the endemic state, even without introducing VPs and granting more freedom to their holders. Still, suitable adaptive policies can avoid unfavorable outcomes. While VP holders could initially be allowed more freedom, the lack of full vaccine effectiveness and increased transmissibility will require accelerated (re-)vaccination, wide-spread immunity surveillance, and/or minimal long-term common restrictions.
Controlling the charge carrier dynamics by modulating the orientation diversity of perovskites
Authors: Cha Wonhee , Cha Won-Young , Noh Insub , Seki Shu , Ohkita Hideo , Kim Dongho 
Published: March 2022

Photo-induced charge carrier dynamics over a wide time domain from sub-nanoseconds to microseconds, via time-correlated single photon counting and flash photolysis time-resolved microwave conductivity measurements.
Electric field control by permittivity functionally graded and superficially non‐linear conductivity materials for DC‐GIS spacer
Authors: Du Boxue , Dong Jianan , Liang Hucheng 
Published: March 2022

AbstractThis paper offers a simulation study on the application of a novel approach to control the electric field around a basin‐type spacer by combining permittivity functionally graded materials (ε‐FGM) and superficially non‐linear conductivity materials (SNCM), namely multi‐dimensional functional materials (MDFM). The permittivity distribution of the ε‐FGM spacer is designed by the iteration optimization algorithm, and the epoxy/SiC composites with 30 and 60 phr doping contents are assigned as the coating materials of two SNCM spacers, namely SNCM30 and SNCM60. The MDFM spacer combines ε‐FGM in its bulk and SNCM60 on its surface. The electric field regulation effect of each functional spacer is investigated under variable conditions, that is, DC steady state (DC‐steady), DC turn‐on state (DC‐on), DC polarity reversal (DC‐PR), and DC superimposed with switching impulse voltage (DC‐SI). Results show that the applicability of ε‐FGM and SNCM is limited to transient and stationary conditions, respectively. The MDFM spacer combines the advantages of ε‐FGM and SNCM for adaptively relaxing the electric field under all the above conditions. It is hoped that this research will be beneficial to the development and application of spacers for the direct current gas‐insulated switchgear (DC‐GIS).
Execution of synthetic Bayesian model average for solar energy forecasting
Authors: Abedinia Oveis , Bagheri Mehdi 
Published: March 2022

AbstractAccurate photovoltaic (PV) forecasting is quite crucial in planning and in the regular operation of power system. Stochastic habit along with the high risks in PV signal uncertainty and a probabilistic forecasting model is required to address the numerical weather prediction (NWP) underdispersion. In this study, a new synthetic prediction process based on Bayesian model averaging (BMA) and Ensemble Learning is developed. The proposed model is initiated by the improved self‐organizing map (ISOM) clustering K‐fold cross‐validation for the training process. To provide desirable learning model for different input samples, three learners including long short‐term memory (LSTM) network, general regression neural network (GRNN), and non‐linear auto‐regressive eXogenous NN (NARXNN) are employed. The proposed BMA approach is combined with the output of the learners to obtain accurate and desirable outcomes. Different models are precisely compared with the obtained numerical results over real‐world engineering test site, that is, Arta‐Solar case study. The numerical analysis and recorded results validate the performance and superiority of the proposed model.
Data‐driven distributionally robust economic dispatch for park integrated energy systems with coordination of carbon capture and storage devices and combined heat and power plants
Authors: Wang Yuqi , Gao Song , Jia Wenhao , Ding Tao , Zhou Zhengyang , Wang Zekai 
Published: March 2022

AbstractPark integrated energy system (PIES) can utilize multiple energy resources complementarily and promote comprehensive energy efficiency. However, the uncertainty of renewable energy generation poses significant challenges to the optimal operation of PIES. This paper proposes a data‐driven distributionally robust optimization (DDRO) model for the day‐ahead scheduling of PIESs with coordination of carbon capture and storage devices (CCS) and combined heat and power plants (CHP). First, a deterministic economic dispatch model of PIES was presented with the aim at minimizing the total operating costs of PIES and promoting the photovoltaic (PV) power accommodation. Then, a DDRO model was developed based on the historical data to yield the optimal solution in the worst PV output scenario, where the confidence set is established with comprehensive consideration of norm‐1 and norm‐inf constraints. Furthermore, an efficient solving framework was proposed for the DDRO based on the combination of the column‐and‐constraint generation (C&CG) algorithm and a duality‐free decomposition method. Finally, case studies are carried out to demonstrate the effectiveness of the proposed model.
The ISAQ Score Does Not Predict Adrenal Crisis in Patients with
Primary Adrenal Insufficiency
Authors: Quinkler Marcus , Kienitz Tina 
Published: March 2022

Abstract
Objective This study aimed to investigate the ability of the immune system
assessment questionnaire (ISAQ) to predict adrenal crisis (AC) and infectious
events in patients with primary adrenal insufficiency (PAI).
Design This was a prospective single-centre study over three years.
Methods Patients answered the ISAQ at baseline and were seen every
4–6 months in the endocrine outpatient clinic. At each visit previous
infectious periods which required an increase in daily glucocorticoid dosage and
AC were reported and documented. Seventy-five patients with PAI (53 women; 43
patients with autoimmune PAI, 20 patients with salt-wasting congenital adrenal
hyperplasia and 12 patients who underwent bilateral adrenalectomy) were
analysed. Due to the COVID-19 pandemic and consecutive lockdown measures, the
data were analysed separately for March 2018 to March 2020 (period 1), and March
2020 to March 2021 (period 2).
Results During period 1 the ISAQ score significantly correlated with the
number of reported infectious events (r=0.351; p<0.01), but not
during period 2 (r=0.059, p=0.613), in which the number of
infectious events per patient-year significantly decreased (1.1±0.1 vs
0.4±0.1; p<0.001). The frequency of AC decreased from 8.8 to 2.4
per 100 patient-years between the two study periods. The ISAQ score was not
different between patients with or without AC.
Conclusions The ISAQ score does not identify patients prone to ACs. The
COVID-19 pandemic and consecutive lockdown measures significantly diminished the
frequency of infectious events and ACs.
Die Behandlung von psychotischen Störungen im Neuen Testament
Authors: Juckel Georg , Pajonk Frank-G. , Mavrogiorgou Paraskevi 
Published: March 2022

ZUSAMMENFASSUNGDie Behandlung von psychotischen Störungen wie der Schizophrenie stellt weiterhin eine große Herausforderung dar. Jesus „heilt“ nach den Darstellungen im Neuen Testament Menschen mit „Besessenheit“ mittels „Dämonenaustreibung“ vollständig im Sinne von Recovery. Obwohl in einer symbolischen Sprache niedergelegt, werden wichtige Wirkfaktoren hierfür deutlich, so z. B. starke und eindeutige Patientenführung, liebevolle und intensive Zuwendung, Gottesglauben und Gebet. Es wird vermutet, dass eine stärkere Berücksichtigung solcher religiös-geistlicher Praktiken bei der psychiatrisch-psychotherapeutischen Behandlung von Psychose-Kranken nicht nur diese Patienten günstig ansprechen, sondern auch das Repertoire unserer Möglichkeiten wirkungsvoll erweitern kann.
Design, Synthesis, and Screening of Pyridothieno[3,2-b]indole and Pyridothieno[3,2-c]cinnoline Derivatives as Potential Biologically Active Molecules
Authors: Stroganova Tatyana A. , Vasilin Vladimir K. , Kanishcheva Eugeniya A. , Dmitrieva Irina G. , Taranenko Viktor V. , Tumskiy Roman S. , Tumskaia Anastasiia V. , Aksenov Nikolay A. , Krapivin Gennady D. 
Published: March 2022

AbstractNew pyridothieno[3,2-b]indole and pyridothieno[3,2-c]cinnoline derivatives are designed and prepared from the corresponding 3-amino-2-arylthieno[2,3-b]pyridines. By a molecular docking method novel potential inhibitors of DNA gyrase B are identified among the thieno[2,3-b]pyridine derivatives. In addition, some of the prepared pyridothienoindoles exhibit in vivo antidote activity against the herbicide 2,4-D.
Reducing Alarm Fatigue in Maternal Monitoring on Labor and Delivery: A Commentary on Deimplementation in Obstetrics
Authors: Kern-Goldberger Adina R. , Hamm Rebecca F. , Raghuraman Nandini , Srinivas Sindhu K. 
Published: March 2022

Hospital labor and delivery floors frequently operate like intensive care units (ICUs)—with continuous data feeds pouring into central monitoring stations against a background of blaring alarms. Yet the majority of obstetric patients are healthy and do not require ICU-level care. Despite limited organizational recommendations guiding the frequency of vital sign measurement, continuous pulse oximetry is used widely for laboring patients. There is also no evidence that morbidity prevention is linked to specific frequencies of vital sign monitoring in low-risk patients. In fact, studies examining the performance of maternal early warnings systems based on vital signs suggest that these may not reliably provide actionable information regarding maternal physiologic status. Furthermore, it is very possible that intrapartum maternal overmonitoring can impact care negatively by generating alarm fatigue, causing providers to miss actual abnormal vital signs that may precede morbidity.
Key Points