bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pressure‐Tailored Band Engineering for Significant Enhancements in the Photoelectric Performance of CsI3 in the Optical Communication Waveband
Authors: Li Zonglun , Li Quanjun , Li Haiyan , Yue Lei , Zhao Dianlong , Tian Fuyu , Dong Qing , Zhang Xueting , Jin Xilian , Zhang Lijun , Liu Ran , Liu Bingbing 
Published: November 2021

AbstractThe bandgap and type of optical transition are key factors in determining the functionalities and applications of photoelectric materials. However, it is extremely difficult to modulate the bandgap and indirect‐direct bandgap transition for most materials. This study reports significant enhancements in photocurrents and an extended detection bandwidth resulting from pressure‐regulated indirect–direct bandgap transition in hypervalent CsI3. Furthermore, this study achieves an increase in the photocurrent by almost five orders of magnitude under visible‐light illumination. Impressively, the detection band‐edge shows a successive redshift from visible light to 1650 nm (optical communication waveband) upon compression. And high pressure is conducive to CsI3 operating at an ultralow bias input. Extensive high‐pressure spectroscopy analyses and theoretical calculations suggest that changes in the photoelectric properties of CsI3 are associated with enhanced I–I interactions along the quasi‐endless linear chain directions under compression. These findings offer an effective band engineering strategy for achieving broadband spectral response and high gains with an ultralow bias in photoelectric detectors.
Ultrafast‐Response/Recovery Flexible Piezoresistive Sensors with DNA‐Like Double Helix Yarns for Epidermal Pulse Monitoring
Authors: Chen Jianming , Zhang Jun , Hu Jinlian , Luo Ningqi , Sun Fengxin , Venkatesan Harun , Zhao Ni , Zhang Yuanting 
Published: November 2021

AbstractA key challenge in textile sensors is to adequately solve the hysteresis for more broad and exacting applications. Unlike the conventional strategy in integrating elastic polymers into the textile, the hysteretic issue is critically addressed here through the structural design of yarns to provide a twisting force. The underlying mechanism is fully discussed based on theory and modeling, which are in good agreement with experimental data. Impressively, the pressure sensor outperforms almost all reported textile‐based sensors in terms of recovery index, which refers to the ability to overcome the lagged deformation reflected by the hysteresis (5.3%) and relaxation time (2 ms). Besides, the sensor superiority is also demonstrated by way of its ultrafast response time (2 ms). Thanks to these merits, this pressure sensor is demonstrated to be capable of monitoring epidermal pulses and meanwhile shows great potential to advance the standardization and modernization of pulse palpation in traditional Chinese medicine.
Bio‐inspired Synthesis of Energetic Microcapsules Core‐Shell Structured with Improved Thermal Stability and Reduced Sensitivity via In Situ Polymerization for Application Potential in Propellants
Authors: Chen Ling , Li Qiang , Liu Shishuo , Bei Yiying , Ding Yajun , Liu Jie , He Weidong 
Published: November 2021

AbstractTo further improve the comprehensive performances of conventional nitramine energetic crystals hexahydro‐1,3,5‐trinitro‐1,3,5‐triazine (RDX), 1,3,5,7‐tetranitro‐1,3,5,7‐tetrazocane (HMX), and 2,4,6,8,10,12‐hexanitro‐2,4,6,8,10,12‐hexaazaisowurtzitane (CL‐20), especially their thermal stability and safety properties, is the main pursue in the field of energetic materials. Enlightened by means of the composition of attachment proteins from mussels, this research demonstrates that polydopamine (PDA) self‐polymerization could be used to prepare core‐shell structure energetic composites by surface coating technology. The results reveal that energetic crystal cores are mostly well‐coated by PDA more than 6 h; the combined characteristics of explosives and PDA indicating the main interface interaction force is hydrogen bonding. Moreover, the optimal polymorph of HMX (β) and CL‐20(ε) are maintained in the preparation process. Besides, another interesting phenomenon can be observed that the polycrystalline phase transition of endothermic and the decomposition temperature of exothermic peak for energetic crystals have been increased evidently, benefitting from the heat resisting of PDA layer. Moreover, thermal decomposition has been studied and calculated under different heating rates. Furthermore, the impact sensitivity of the PDA modified composites obtained is tested as well and decreased by 2–4 times compared with pristine energetic crystals. Therefore, this fabrication strategy in this study would provide a potential application of energetic@PDA in high‐strength and high‐energy propellants.
Measurement and Modeling of the Nanofiber Surface Potential during Electrospinning on a Patterned Collector: Toward Directed 3D Microstructuration
Authors: Liang Meng , Hébraud Anne , Sutter Christophe , Bardin Antoine , Lobry Emeline , Schlatter Guy 
Published: November 2021

AbstractElectrospinning allows the fabrication of microstructured mats when the nanofiber is deposited on a patterned collector made of regularly distributed protuberances. Such directed self‐assembling strategy results from the building of an electrostatic template induced by the charged deposited fiber strands suspended between the protuberances which in turn induces a field of attractive and repulsive forces that guide the deposition of the fiber during its landing. However, after a certain time of electrospinning, the microstructuration of the mat is generally subjected to modification and is eventually lost. Here, it is shown that the measurement of the surface potential above the deposited nanofibers is a powerful tool to track the evolution of the fibrous microstructuration during the fabrication. First, the electrospinning above a single and adjustable gap is deeply investigated and a model is proposed to explain the surface potential kinetics as a function of the gap size and the processed polymer solution. Then, the surface potential kinetics are correlated with the evolution of the 3D microstructuration in the case of electrospinning on a micropatterned collector. This original strategy paves the way for the controlled fabrication of 3D microstructured mats dedicated to a wide range of applications.
Hierarchically Structured Ni‐Enhanced Flexible Multiwall Carbon Nanotubes/Polydimethylsiloxane for a High‐Performance Pressure Sensor
Authors: Bai Yao‐Yao , Zhang Bin , Wu Xu‐Ping , Luo Yan‐Wen , Bai Zeng‐Guo , Wang Si‐Qi , Zhang Guang‐Ping 
Published: November 2021

AbstractFlexible pressure sensors have given rise to great research interest because of their potential applications in artificial electronic skin, wearable health‐care monitors, soft robotics, and hydrophones. However, determining how to fabricate a sensor with high sensitivity in a wide linear range by using a simple and cost‐effective manufacturing method remains a challenge. Here, a novel pressure sensor composed of a flexible substrate of multiwall carbon nanotubes (MWCNTs)/polydimethylsiloxane (PDMS) covered with a hierarchically structured Ni layer consisting of large amounts of nanoneedles and some irregular microspherical aggregates is presented. Owing to the synergistic effect of the hierarchically structured Ni layer and the special deformation behavior of the flexible MWCNTs/PDMS substrate, the as‐fabricated sensor has a high sensitivity of 10.7 kPa−1 in a wide linear range up to 15 kPa, keeping stability after 2.5 × 103 repeatedly compressing–releasing cycles. The sensor demonstrates sensitivity in monitoring both weak vibrations and human joint motions, which may have great potential in the field of health monitoring and electronic skin.
Computer vision and machine‐learning techniques for quantification and predictive modeling of intracellular anticancer drug delivery by nanocarriers
Authors: Goswami Sanjay , Dhobale Kshama D. , Wavhale Ravindra D. , Goswami Barnali , Banerjee Shashwat S. 
Published: November 2021

AbstractThe field of cancer nanomedicine has made significant progress, but its clinical translation is impeded by many challenges, such as the difficulty in analyzing intracellular anticancer drug release by the nanocarriers due to the lack of suitable tools. Here, we propose the development of an image‐based strategy involving machine learning (ML) to evaluate anticancer drug such as doxorubicin hydrochloride (DOX) released by a nanocarrier inside the HCT116 colon cancer cells and its subsequent intracellular accumulation. This technique combines fluorescent cell imaging with ML‐based image analysis to assess and quantify the delivery of DOX by nanoparticles within them. We show that DOX in HCT116 cells was higher for multifunctional CNT‐DOX‐Fe3O4 nanocarrier than free DOX, indicating efficient and steady release of DOX as well as superior retentive property of the nanocarrier. Initially (1 and 4 hours), the luminance intensity of DOX in the cell cytoplasm delivered by CNT‐DOX‐Fe3O4 nanocarrier was ~0.34 and ~0.42 times lesser than that of free DOX delivered normally. However, at 24 and 48 hours posttreatment, the luminance intensity of DOX for CNT‐DOX‐Fe3O4 nanocarrier was ~1.98 and ~1.92 times higher than that of free DOX. Furthermore, the luminance intensity of DOX for CNT‐DOX‐Fe3O4 in the whole cell was ~1.35 and ~1.62 times higher than that of free DOX at 24 and 48 hours, respectively. The high‐throughput nature of our image analysis workflow allowed us to automate the process of DOX retention analysis and enabled us to devise ML‐based modeling to predict the percentage of anticancer drug retention in cells. The development of models to automatically quantify and predict intracellular drug release in cancer cells could benefit personalized treatments by optimizing the design of nanocarriers.
Inter‐individual variability in children's physical growth and body composition: Findings of longitudinal ELOS‐Pré study
Authors: de Jesus Sousa Lima Teresinha , dos Prazeres Thaliane Mayara Pessôa , dos Santos Henrique Rafael , da Rocha Queiroz Daniel , Bezerra Jorge , de Barros Mauro Virgílio Gomes , dos Santos Marcos André Moura 
Published: November 2021

AbstractBackgroundChildren's physical growth (PG) and body composition (BC) can be influenced by birth weight and type of delivery.AimTo longitudinally analyze the dynamics of PG and BC of children from 5 to 9 years; to investigate the inter‐individual differences according to age, sex, BW, and type of delivery across the following years of the study.Subjects and methodsA total of 1236 children (597 boys) were evaluated at 5‐years of age and followed annually until 9‐years. PG and BC measurements were evaluated. Multilevel modeling was used.ResultsAnnual increments were observed (p < .001). Girls presented lower height and fat‐free‐mass but higher %BF (p < .001). Distinct trajectories between the sexes were observed for height (p < .001). Low‐birth‐weight children presented lower height, body mass, and fat‐free‐mass (p < .001), but the interaction between velocity of growth and BC was significant only in height (p < .05). Children born by had lower height, body mass, and %BF, and gained less body mass per year than those born by vaginal delivery (p < .05). Significant inter‐individual differences were observed at 5‐years of age and in their trajectories, except for fat‐free‐mass (p < .01).ConclusionThere are differences in the dynamics of PG and BC, low‐birth‐weight and type of delivery influence the dynamics of PG during this interval of ages.
Predictive value of ATN biomarker profiles in estimating disease progression in Alzheimer's disease dementia
Authors: Ezzati Ali , Abdulkadir Ahmed , Jack Clifford R. , Thompson Paul M. , Harvey Danielle J. , Truelove‐Hill Monica , Sreepada Lasya P. , Davatzikos Christos ,   the Alzheimer's Disease Neuroimaging Initiative, Lipton Richard B. 
Published: November 2021

AbstractWe aimed to evaluate the value of ATN biomarker classification system (amyloid beta [A], pathologic tau [T], and neurodegeneration [N]) for predicting conversion from mild cognitive impairment (MCI) to dementia. In a sample of people with MCI (n = 415) we assessed predictive performance of ATN classification using empirical knowledge‐based cut‐offs for each component of ATN and compared it to two data‐driven approaches, logistic regression and RUSBoost machine learning classifiers, which used continuous clinical or biomarker scores. In data‐driven approaches, we identified ATN features that distinguish normals from individuals with dementia and used them to classify persons with MCI into dementia‐like and normal groups. Both data‐driven classification methods performed better than the empirical cut‐offs for ATN biomarkers in predicting conversion to dementia. Classifiers that used clinical features performed as well as classifiers that used ATN biomarkers for prediction of progression to dementia. We discuss that data‐driven modeling approaches can improve our ability to predict disease progression and might have implications in future clinical trials.
INCREASE: An updated model suite to study the INfluence of Cosmic Rays on Exoplanetary AtmoSpherEs
Authors: Herbst Konstantin , Grenfell John Lee , Sinnhuber Miriam , Wunderlich Fabian 
Published: November 2021

AbstractExoplanets are as diverse as they are fascinating. They vary from ultrahot Jupiter‐like low‐density planets to presumed gas‐ice‐rock mixture worlds such as GJ 1214b or worlds as LHS 1140b, which features twice the Earth's bulk density. Regarding the great diversity of exoplanetary atmospheres, much remains to be explored. For a few selected objects such as GJ1214b, Proxima Centauri b, and the TRAPPIST‐1 planets, the first observations of their atmospheres have already been achieved or are expected in the near future with the launch of the James Webb Space Telescope envisaged in October 2021. However, in order to interpret these observations, model studies of planetary atmospheres that account for various processes—such as atmospheric escape, outgassing, climate, photochemistry, as well as the physics of air showers and the transport of stellar energetic particles and galactic cosmic rays through the stellar astrospheres and planetary magnetic fields—are necessary. Here, we present our model suite INCREASE, a planned extension of the model suite discussed in Herbst, Grenfell, et al. (2019).
Evaluating the effects of Picture Exchange Communication System® mediator training via telehealth using behavioral skills training and general case training
Authors: Treszl Alyssa , Koudys Julie , O'Neill Paige 
Published: November 2021

AbstractResearch indicates that the Picture Exchange Communication System® (PECS®) is an evidence‐based communication approach for children diagnosed with autism spectrum disorder (ASD). However, little is known about PECS‐related parent training, treatment fidelity, or generalization and maintenance of skills. The purpose of the current study was to explore strategies to help parents support their child's PECS use at home. One child with ASD and both his parents participated. Researchers used behavioral skills training to teach target PECS skills and applied general case training strategies to actively program for generalization. A multiple baseline design across skills was used to monitor the primary parent trainee's fidelity during training sessions and a multiple probe design was embedded to monitor both parents' treatment fidelity in the natural environment with their child. The parent trainee demonstrated target PECS skills within the training setting. However, parents did not reliably demonstrate all target PECS skills in the generalization setting during follow‐up.
Polyneuropathy monitoring in Parkinson's disease patients treated with levodopa/carbidopa intestinal gel
Authors: Pauls K. Amande M. , Toppila Jussi , Koivu Maija , Eerola‐Rautio Johanna , Udd Marianne , Pekkonen Eero 
Published: November 2021

AbstractObjectivesLevodopa‐carbidopa‐intestinal‐gel (LCIG) infusion is an effective treatment for advanced PD with motor fluctuations. Polyneuropathy occurs as a complication in 10–15% of patients. We wanted to assess the frequency of polyneuropathy in Finnish advanced Parkinson's disease (PD) patients with continuous LCIG infusion, and the value of different clinical monitoring parameters during follow‐up.Materials and methodsPatient records of PD patients started on LCIG infusion at Helsinki University Hospital who received nerve conduction studies at baseline and 6 months after treatment initiation were reviewed for epidemiological information, mini mental state examination, baseline and 6 months’ UPRDS‐III, weight, body mass index, levodopa dose (LD), plasma homocysteine levels, folate, vitamin B6 and B12.ResultsOut of 19 patients (n = 6 on B‐vitamin substitution), two (10.5%) developed new‐onset polyneuropathy after initiation of LCIG therapy (n = 0 with vitamin substitution). Neuropathy was associated with significant weight loss (BMI reduction > 1.5), but not with other monitoring parameters. Homocysteine rose significantly in patients not substituted with B‐vitamin complex, but not in patients with B‐vitamin substitution. Homocysteine changes correlated with LD changes in the absence of vitamin B substitution. After oral B‐vitamin substitution, both patients’ polyneuropathy remained electrophysiologically and clinically stable.ConclusionsRates of polyneuropathy in Finnish PD patients with LCIG treatment are comparable to previous studies. Patients’ weight should be included in regular follow up monitoring and can be used for patient self‐monitoring. Vitamin B substitution appears to reduce coupling between levodopa dose and homocysteine and may be useful to prevent polyneuropathy related to LCIG.
Population attributable fractions of clinical and social risk factors for suicide in Bangladesh: Finding from a case–control psychological autopsy study
Authors: Arafat S. M. Yasir , Khan Md. Abdullah Saeed , Knipe Duleeka , Khan Murad M. 
Published: November 2021

AbstractBackgroundOur knowledge of suicide in low‐income countries is limited. Understanding the importance of factors that contribute to suicide risk will allow for the appropriate allocation of limited resources. In order to prioritize suicide prevention activities in Bangladesh, we estimate the fractions of suicides attributable to key risk factors.MethodsUsing data from matched cases (100) and controls (100) as part of a psychological autopsy study in Dhaka, we estimate the population attributable fraction for key clinical (psychiatric disorders and physical disability), and social (life events, psychical and/or sexual abuse, unemployment, and social isolation) risk factors for suicide in Bangladesh.ResultsAssuming a causal relationship, life events were responsible for the largest proportion of suicide deaths (85.9%; confidence interval [CI], 79.6–90.2), followed by mental disorder (49.5%; CI, 45.3–53.4). The population attributable fraction for the risk factors was 42.9% (CI, 40.6–45) for depression, 11% (CI, 8.9–13) for sexual abuse, and 34.9% (CI, 10.1–52.9) for social isolation.ConclusionsThe study determined the population attributable fraction of risk factors for suicide in Bangladesh. Prevention strategies should be prioritized on the management of the aftermaths of adverse life events, treatment of psychiatric disorders, sexual abuse, and social isolation in the country.
A biomimetic hyaluronic acid‐silk fibroin nanofiber scaffold promoting regeneration of transected urothelium
Authors: Niu Yuqing , Galluzzi Massimiliano , Deng Fuming , Zhao Zhang , Fu Ming , Su Liang , Sun Weitang , Jia Wei , Xia Huimin 
Published: November 2021

AbstractThis study was designed to investigate the regulatory effect of hyaluronic acid (HA)—coating silk fibroin (SF) nanofibers during epithelialization of urinary tract for urethral regeneration. The obtained electrospun biomimetic tubular HA‐SF nanofiber scaffold is composed of a dense inner layer and a porous outer layer in order to mimic adhesion and cavernous layers of the native tissue, respectively. A thin layer of HA‐gel coating was fixed in the inner wall to provide SF nanofibers with a dense and smooth surface nano‐topography and higher hydrophilicity. Compared with pure SF nanofibers, HA‐SF nanofibers significantly promoted the adhesion, growth, and proliferation of primary urothelial cells, and up‐regulate the expression of uroplakin‐3 (terminal differentiation keratin protein in urothelium). Using the New Zealand male rabbit urethral injury model, the scaffold composed of tubular HA‐SF nanofibers could recruit lumen and myoepithelial cells from the adjacent area of the host, rapidly reconstructing the urothelial barrier in the wound area in order to keep the urinary tract unobstructed, thereby promoting luminal epithelialization, smooth muscle bundle structural remodeling, and capillary formation. Overall, the synergistic effects of nano‐topography and biophysical cues in a biomimetic scaffold design for effective endogenous regeneration.
Micromorphological and elemental characteristics of chickpea, faba bean, field pea, and lentil cotyledon topographies
Authors: Jeganathan Brasathe , Temelli Feral , Vasanthan Thava 
Published: November 2021

AbstractBackground and objectivesMicromorphological and elemental information on pulse cotyledon topographies is an essential aspect in identifying grain physiological and structural interactions at cotyledon‐seed coat (abaxial) and cotyledon–cotyledon (adaxial) interfaces, which can influence grain quality and processing behavior in food industry applications. The objective of this study was to characterize the topographies of the abaxial and adaxial surfaces of two cultivars each of faba bean, chickpea, field pea, and lentil via micromorphological and elemental analyses.FindingsScanning electron microscopic imaging of the abaxial and adaxial cotyledon surfaces showed gentle undulation of either tabular‐ or polygonal‐shaped epidermal cells that were projected as flat or rugose. They were covered by epicuticular wax films, which had smooth, striate, or granular micromorphology. Elemental results confirmed the presence of C, O, K, Ca, and Mg as the key elements on both cotyledon abaxial and adaxial surfaces.ConclusionsAbaxial and adaxial cotyledon topographies of all the cultivars confirmed varietal differences associated with their micromorphological characteristics. It can be concluded that both abaxial and adaxial surfaces are cemented by a complex cuticle layer of similar elemental composition with a few significant (p < .05) variations. The ease of milling/pearling of pulses could be directly associated with the species, cultivar, architecture, micromorphology, and elemental composition of the pulse cotyledon abaxial and adaxial surfaces.Significance and noveltyThese findings will not only assist in interpreting the differences observed in the processing behavior of different pulse species and cultivars but will also enhance our understanding of the process design, targeting pearling of pulses for value‐added food applications.
Radiculopathies caused by spontaneous pneumorrachis: Two case reports and review of literature
Authors: Lassoued Ferjani Hanene , Ben Ammar Lobna , Kaffel Dhia , Maatallah Kaouther , Triki Wafa , Ben Nessib Dorra , Hamdi Wafa 
Published: November 2021

AbstractPneumorarchis is a rare condition of low back pain. It is usually asymptomatic and secondary to trauma. Spontaneous pneumorrachis is scarce.