bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Powered Wheelchair Driving Performance in Simulator Compared to Driving in Real-life Situations. the SIMADAPT (Simulator ADAPT) project : a pilot study
Authors: Fraudet Bastien , Leblong Emilie , Piette Patrice , Nicolas Benoit , Babel Marie , Gouranton Valerie , Pasteau francois , Devigne Louise , Vailland Guillaume , Gallien Philippe 
Published: June 2022

Abstract
Objective
The objective of this study was to evaluate users tolerance and driving performance of an electric wheelchair driving simulator in comparison to a test on a real circuit in the context of the SIMADAPT project.
Methods
Three real circuits intended to assess the driving performance with power wheelchair (PWC) in an indoor traffic situation were defined. These circuits were then modelled in 3D to create three test scenarios in virtual reality. These three sessions corresponded to the three levels of driving difficulty. Users tested the three circuits in virtual reality (VR) on a simulator and on a real circuit (R) during three different sessions. In each session, users tested the two conditions. Number of collisions, time of completion, cognitive load and driving performances were assessed. Cyber sickness, users satisfaction and sense of presence were measured in VR. The order of passage between R and VR was randomized.
Results
Twenty-nine participants who were expert drivers with neurological disorders were included in the study. Number of collision between R and VR were identical for circuits 1 and 2 but higher for circuit 3 in VR (p = 0,006 and 0,008), the RV completion times were longer in C1 and C2 (p = < 0.001, 0.01), however it tended to decreased for C3 (difference were not significant for second run). The mental load was higher in VR than R (p = 0,001; 0,01;0,03). The sense of presence was good and the cybersickness remained low on the three circuits
Conclusions
Simulator is valid technological solution for expert drivers. The performances were equivalent between R and VR and there was a quick adaptation to the virtual application, without any noticeable unexpected effects. Future researches are needed to assess the quality of skill transfer for novice drivers from the simulator to the real world.
Application of Lesser Trochanteric Reduction Fixator in the Treatment of Unstable Intertrochanteric Fractures
Authors: Liu Peiyi , Hui Yaomin , Zeng Guang , Chai Bin 
Published: June 2022

Abstract
Background: Closed reduction and internal fixation with intramedullary nails for intertrochanteric fractures have been widely accepted, We should focus on how to avoid the displacement of lesser trochanter in unstable intertrochanteric fractures.Methods: We developed a lesser trochanteric reduction fixator for intertrochanteric fractures via fixing the lesser trochanter by combining the loop plate through the fixator after the reduction by the reducer.Results: The postoperative Harris hip score of patients treated with lesser trochanteric reduction was higher, which indicated that the lesser trochanteric reduction had positive impacts on the rehabilitation of the hip joint after surgery and could significantly improve the quality of life of patients.Conclusions: The treatment of intertrochanteric fractures, we fully realize the significance of trochanteric reduction and fixation, namely the reconstruction of structures under pressure. As long as the general condition of patients is suitable and they allow receiving surgery, the fixation would be performed on the main fracture end and the lesser trochanter would be reduced and fixed at the same time.
A Nomogram for Prediction of 30-Day Mortality in Patients with Aneurysmal Subarachnoid Hemorrhage Requiring Mechanical Ventilation
Authors: Shen Hui , Mei Qing 
Published: June 2022

Abstract
Background：Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating stroke subtype with high morbidity and mortality. Although several studies have developed a prediction model in aSAH to predict individual outcomes, few have addressed short-term mortality in patients requiring mechanical ventilation. The study aimed to construct a user-friendly nomogram to provide a simple, precise, and personalized prediction of 30-day mortality in patients with aSAH requiring mechanical ventilation.Methods：We conducted a secondary analysis based on a retrospective study in a French university hospital intensive care unit (ICU). All patients with aSAH requiring mechanical ventilation from ﻿January 2010 to December 2015 were included. Demographic and clinical variables were collected to develop a nomogram for predicting 30-day mortality. The least absolute shrinkage and selection operator (LASSO) regression method was performed to identify predictors, and multivariate logistic regression was used to establish a nomogram. The discriminative ability, calibration, and clinical practicability of the nomogram to predict short-term mortality were tested using the area under the curve (AUC), calibration plot, and decision curve analysis (DCA). Results：A nomogram was developed to predict the 30-day mortality with the following five variables: admission GCS, SAPS II, rebleeding, early brain injury(EBI), and external ventricular drain (EVD) (P < 0.05). The predictive model yielded an AUC of 0.795 [95% CI, 0.731–0.858]), and in the internal validation with bootstrapping, the AUC was 0.780. The predictive model was well-calibrated, and decision curve analysis further confirmed the clinical usefulness of the nomogram.Conclusions：We have constructed a nomogram that included five clinical characteristics to predict 30-day mortality in patients with aSAH requiring mechanical ventilation, which may aid clinical decision-making.
Disruptions caused in Pakistan by the COVID-19 Pandemic and their Wireless Technology Based Solutions
Authors: Rafique Ayesha , Akram Noreen , Talha Umar Syed Muhammad , Khan Muhammad Umar , Zia Razia , Aamir Muhammad 
Published: June 2022

Abstract
Since its emergence in 2019, the novel coronavirus or COVID-19 pandemic has caused severe disruptions in every field of life. The world has turned its focus toward digital technologies to fight against the socio-economic disruptions caused by the pandemic. The associated digital technology based solutions predominantly rely on the advancements in wireless and communication technologies. These wireless technologies help in fighting the global crisis in various ways, including virus-spread monitoring, maximizing healthcare outreach, mitigating the physical barriers through automated visual inspection systems and online video conferencing solutions, and enabling distance and virtual education. However, the problem further intensifies in developing and underdeveloped countries, due to the lack of facilities, increased poverty ratio, and poor socio-economic situation. This paper reports various wireless technological solutions for the COVID-19 pandemic as experienced by one such developing country, Pakistan. The paper highlights the use of wireless technologies in various fields for fighting the COVID-19 pandemic, such as e-commerce, education, and the healthcare sector.
Predicting functional trait variation across climatic gradients in ectotherms
Authors: Rubalcaba Juan , Gouveia Sidney , Villalobos Fabricio , Olalla-Tárraga Miguel , Sunday Jennifer 
Published: June 2022

Abstract
A major challenge in ecology and evolution is to disentangle the mechanisms driving broad-scale variations in biological traits such as body size, colour, thermal physiology, and behaviour. Climate has long been thought to drive trait evolution and abiotic filtering of variation in organisms such as ectotherms, because their thermal performance and fitness are closely related to environmental conditions. However, previous studies investigating climatic variables associated to functional trait variation lacked a mechanistic description of the underpinning processes. Here, we use a mechanistic model to predict how climate affects thermal performance of ectotherms and thereby the direction and strength of the effect of selection on different functional traits. We show that climate drives macroevolutionary patterns in body size, cold tolerance, and preferred body temperatures among lizards, and that trait variation is more constrained in regions where selection is predicted to be stronger. These findings provide a mechanistic explanation for the hypothesis that climate drives trait variations in ectotherms through its effect on thermal performance. By connecting physical, physiological, and macroevolutionary principles, the model and results provide an integrative, mechanistic framework for predicting organismal responses to both present and future climate variations.
Deep Learning for Chatter Detection in Machining
Authors: kounta Cheick Abdoul Kadir A , Arnaud Lionel , Foguem Bernard Kamsu , Tangara Fana 
Published: June 2022

Abstract
Deep learning unlike classical machine learning methods, automatically extracts features at a higher level and merges feature extraction and classification into a single structure, so it does not require a large number of tests and errors. This work presents a deep learning approach for detecting the phenomenon of chatter in machining. To do this, it uses input images from the analysis of the fast Fourier transform on a vibratory signal of the machining of an industrial railway system. The FFT images are recalibrated by rescaling to the maximum signal and frequency between 0-2500Hz to reduce the image size. Deep learning was used to extract features from image data through pre-trained deep neural networks such as VGG16 and ResNet50. These pre-trained networks are adapted to our data to train a classification or chatter detection model in the signal. Despite the existence of several tool rotation speeds in the machining that is not taken into account in the training, the model manages to show its generalization capacity. The results obtained show the good performance of the model with an accuracy of 99.71% using the VGG16. This generalization is observable, given that the amplitude of the signal is not transmitted to the network and that it has not been labeled that several rotation speeds have been considered. The model manages to see the information of the chatter in the spectrum, adapting to several speeds of rotation. Moreover, since part of the test data is similar to the training data, the robustness is proven with the addition of another more noisy and equivocal part and the model manages to detect the more difficult cases from its learning of the easy cases.
Can a “thrifty gene" lead to obesity without a “glutton gene" and a “sloth gene"?
Authors: Batta Erasmo , Stephens Christopher R. 
Published: June 2022

Abstract
Obesity is a result of a long-term energy imbalance due to decisions associated with energy intake and expenditure. Those decisions fit the definition of heuristics: cognitive processes with a rapid and effortless implementation which can be very effective in dealing with scenarios that threaten an organism’s viability. We study the implementation and evaluation of heuristics, and their associated actions, using agent-based simulations in environments where the distribution and degree of richness of energetic resources is varied in space and time. Artificial agents utilize foraging strategies, combining movement, active perception, and consumption, while also actively modifying their capacity to store energy-a “thrifty gene" effect-based on three heuristics from the CONSUMAT model. We show that the selective advantage associated with higher energy storage depends on both the agent’s foraging strategy and heuristic, as well as being sensitive to the distribution of resources, with the existence and duration of periods of food abundance and scarcity being crucial. We conclude that a ”thrifty gene” is only beneficial in the presence of a ”sloth gene" and a ”glutton gene”. Heuristics affect system outputs by changing the dynamics of competition by making the advantage of thrifty agents dependent on the observed time window.
A Single Center Report on the Upgrade Rate of Radial Scar/Complex Sclerosing Lesions of the Breast
Authors: Smullin Carolyn P. , Le Julie , Lawton Thomas J. , Baker Jennifer L. 
Published: June 2022

Abstract
Introduction:
Radial scar/complex sclerosing lesion (RS/CSL) is a benign breast lesion. The incidence of RS/CSL on core needle biopsy (CNB) ranges from 0.6 to 3.7%. Despite benign pathology, the radiographic appearance of RS/CSL can be indistinguishable from invasive or in situ malignancy. The upgrade rate of RS/CSL to malignancy varies widely. Whether there are RS/CSL on CNB that may be safely observed without surgery is not well understood.
Methods:
We performed a single center retrospective study of females over 18 with radiology-pathology concordant diagnosis of RS/CSL on CNB from 2015–2020. We excluded patients with ipsilateral or contralateral invasive or in situ malignancy within 3 months prior to or after biopsy proven RS/CSL. Management was immediate surgical excision within 6 months or imaging surveillance. Upgrade rate was determined in the cohort of patients who underwent surgical excision based on evidence of in situ or invasive malignancy.
Results:
We identified 83 patients with RS/CSL; 56 (67%) underwent surgical excision and 27 (33%) underwent surveillance. Those who underwent surgical excision had a significant higher rate of breast cancer in the family (41% vs 15%, p = 0.02) and concurrent atypia on CNB (16% vs 0%, p = 0.03). After surgical excision, 11 cases upgraded to atypia and one case upgraded to ductal carcinoma in situ. There were no factors associated with upgrade to malignancy.
Conclusion:
Upgrade rates of RS/CSL to malignancy remain low; however a significant number upgrade to atypia, which offers relevant information for risk stratification. Further research is needed before omission of excision of RS/CSL can be safely considered.
Optimization for improved cellulase production of Penicillium funiculosum NCIM 1228 in submerged fermentation
Authors: Chavan Sambhaji B. , Shete Ashvini M. , Dharne Mahesh 
Published: June 2022

Abstract
The cellulase enzyme is currently the world's third-largest enzyme. Because of their demands in various industries like textiles, food, waste management, pharmaceuticals, agriculture, pulp paper, biofuels, etc., their demand curve shifts upward sharply. The response surface methodology (RSM) approach was employed to optimize media components and process parameters in the current investigation, which successfully increased cellulase production from Penicillium funiculosum NCIM 1228 ( P. funiculosum NCIM 1228). Statistical optimization for the hyperproduction of cellulases has been conducted using RSM. The Plackett-Burman design (PBD) approach was used to investigate the critical factors of the cellulase production medium, followed by the Box-Behnken design (BBD) method, which was used to statistically estimate optimum values and conditions that had a substantial impact on cellulase production. The estimated optimal combinations of parameters for cellulase production were urea (0.2, %), CaCl 2 (0.2, %), MgSO 4 (0.05, %), peptone (1.5, %), microcrystalline cellulose (5.0, %), wheat bran (2.5, %), CSL (2.5, %), KH 2 PO 4 (0.15, %), inoculum (10.65%), agitation (157 rpm), pH (5.88), and temperature (29.84°C). Conclusively, experimental validation under optimal conditions detected an increased production of 3.82-fold and 3.61-fold in filter paper activity (FPase) and β-glucosidase respectively while 1.66-fold and 1.57-fold improvement in FPase and β-glucosidase specific activity were observed. The xylanase activity was enhanced by 3.29-fold and its specific activity improved by 69.62% after optimization. P. funiculosum NCIM 1228 offers the benefit of producing cellulase with an entire cellulolytic system of enzymes that can be excreted extracellularly, which provides a promising biocatalyst for biofuel industries.
Activation of vitamin D/VDR signaling reverses gemcitabine resistance of pancreatic cancer cells through inhibition of MUC1 expression
Authors: Wei Daoyan , Wang Liang , Liu Yi , Hafley Margarete , Tan Lin , Lorenzi Phillip , Yang Peiying , Zuo xiangsheng , Bresalier Robert 
Published: June 2022

Abstract
Background
Pancreatic ductal adenocarcinoma (PDA) has a poor prognosis largely due to its therapeutic resistance. Inactivation of vitamin D/vitamin D receptor (VDR) signaling contributes to the malignant phenotype of PDA, and altered expression of oncoprotein mucin 1 (MUC1) is involved in drug resistance of cancer cells. In the present study, we determined whether vitamin D/VDR signaling regulates the expression and function of MUC1 and its effect on gemcitabine resistance of pancreatic cancer cells.
Methods
We performed an unbiased reverse-phase protein array (RPPA) to identify vitamin D3 downstream molecules in PDA cells. We used molecular analyses and animal models to determine the impact of vitamin D/VDR signaling on MUC1 expression and response to gemcitabine treatment.
Results
RPPA analysis indicated that MUC1 protein expression was significantly reduced in human PDA cells after treatment with vitamin D3 or its analog calcipotriol. VDR negatively regulated MUC1 expression in both gain- and loss-of-function assays. Vitamin D3 or its analog significantly induced VDR and inhibited MUC1 expression in AsPC1-GemR and Colo357-GemR gemcitabine-resistant cells and sensitized the resistant cells to gemcitabine treatment. siRNA knockdown experiments indicated that inhibition of MUC1 expression was essential for calcipotriol-associated sensitization of PDA cells to gemcitabine treatment in vitro. Administration of the vitamin D3 analog paricalcitol significantly enhanced the therapeutic efficacy of gemcitabine in xenograft and orthotopic mouse models and increased the intratumoral concentration of dFdCTP, the active gemcitabine metabolite.
Conclusions
These findings demonstrate a previously unidentified vitamin D/VDR-MUC1 signaling axis involved in the regulation of gemcitabine resistance in PDA, and suggests that combinational therapies that include targeted activation of vitamin D/VDR signaling may improve the outcomes of patients with PDA.
Warming experiments test the sensitivity of an endangered butterfly across life history stages
Authors: Bristow Lainey V. , Grundel Ralph , Dzurisin Jason D.K. , Wu Grace C. , Li Yudi , Hildreth Andrew , Hellmann Jessica J. 
Published: June 2022

Abstract
Introduction: The Karner blue butterfly (Lycaeides melissa samuelis, KBB) is a federally listed endangered species living in disjunct habitats within the Midwest and Eastern United States. As a hostplant specialist and an ectotherm, the KBB is likely to be susceptible to effects of climate change. Aims/Methods: We undertook warming experiments to explore the temperature sensitivity of various KBB life history stages and traits. Over a two-year period, we exposed all KBB life stages to temperature increases of +2, +4, and +6 ⁰C above historic (1952-1999) mean temperatures. We analyzed the effect of these treatments on life history parameters likely related to fitness and population size, including development time, voltinism, degree-day accumulation, body weight, and morphology. Results: Warming treatments resulted in earlier emergence and accelerated development, leading to additional generations. Warming also decreased the number of degree-days required to initiate spring hatch and eclosion. As treatment warmth increased, adult body mass, length, and area decreased and voltinism increased. Females with lower adult mass and smaller body size produced fewer eggs. Discussion: Our data suggest a trade-off between accelerated development and body size. Furthermore, an increase in adult mass and abdominal area was associated with reduced fecundity. Implications for Insect Conservation: Changes in development time and voltinism may affect phenological overlap with the species’ obligate host plant (Lupinus perennis), which could negatively affect completion of the final generation’s lifecycle in a given year, and thus that year’s overwintering population size.
Pyroptosis and Necroptosis Inhibitor Necrosulfonamide Prevents Lipopolysaccharide-Induced Inflammatory Hyperalgesia in Mice
Authors: Ozgen Beyza , Senol Sefika Pinar , Yilmaz Dilsah Ezgi , Temiz-Resitoglu Meryem , Bahceli Omer , Tunctan Bahar 
Published: June 2022

Abstract
Recent studies have demonstrated that two distinct forms of necrotic cell death, pyroptosis, and necroptosis, triggered by the lipid A part of lipopolysaccharide (LPS) are involved in the pathogenesis of several neurodegenerative diseases associated with neuroinflammation. It has been suggested that inhibition of gasdermin D (GSDMD)-mediated pyroptosis and/or mixed lineage kinase domain-like pseudokinase (MLKL)-mediated necroptosis may have a therapeutic potential in the treatment of inflammatory diseases of the central nervous system (CNS). However, the involvement of both types of cell death in LPS-induced inflammatory hyperalgesia remains unknown. Therefore, we aimed to investigate whether GSDMD and MLKL inhibitor, necrosulfonamide (NSA), prevents inflammatory hyperalgesia induced by LPS via inhibiting caspase-11/GSDMD-mediated pyroptosis and receptor-interacting serine/threonine-protein kinase (RIPK) 1/RIPK3/MLKL-mediated necroptosis in the CNS of mice. It was observed that 6 hours after intraperitoneal (i.p.) injection of LPS (10 mg/kg), the response time of mice to thermal stimulation determined by hot plate test was prevented with 0.01, 0.1, and 1 mg/kg (i.p.) doses of NSA. When NSA was administered at the lowest effective dose (0.01 mg/kg), it prevented the LPS-induced increase in caspase-11 p20, p30-GSDMD, interleukin-1β, high-mobility-group-box 1, and semaphorin (SEMA) protein expression as well as activity of RIPK1, RIPK3, and MLKL associated with decreased expression of myelin proteolipid protein (PLP) in the tissues of LPS-treated mice. Our findings suggested a decrease in the caspase-11/GSDMD-mediated pyroptosis, RIPK1/RIPK3/MLKL necrosome-mediated necroptosis, and remyelination inhibitor, SEMA3A, as well as increased expression of the main protein of the CNS myelin membrane, PLP, in the CNS of mice involves in the protective effect of NSA against inflammatory hyperalgesia induced by LPS.