ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages

Effective fusion of structural magnetic resonance imaging (sMRI) and functional magnetic resonance imaging (fMRI) data has the potential to boost the accuracy of infant age prediction thanks to the complementary information provided by different imaging modalities. However, functional connectivity measured by fMRI during infancy is largely immature and noisy compared to the morphological features from sMRI, thus making the sMRI and fMRI fusion for infant brain analysis extremely challenging. With the conventional multimodal fusion strategies, adding fMRI data for age prediction has a high risk of introducing more noises than useful features, which would lead to reduced accuracy than that merely using sMRI data. To address this issue, we develop a novel model termed as disentangled-multimodal adversarial autoencoder (DMM-AAE) for infant age prediction based on multimodal brain MRI. Specifically, we disentangle the latent variables of autoencoder into common and specific codes to represent the shared and complementary information among modalities, respectively. Then, cross-reconstruction requirement and common-specific distance ratio loss are designed as regularizations to ensure the effectiveness and thoroughness of the disentanglement. By arranging relatively independent autoencoders to separate the modalities and employing disentanglement under cross-reconstruction requirement to integrate them, our DMM-AAE method effectively restrains the possible interference cross modalities, while realizing effective information fusion. Taking advantage of the latent variable disentanglement, a new strategy is further proposed and embedded into DMM-AAE to address the issue of incompleteness of the multimodal neuroimages, which can also be used as an independent algorithm for missing modality imputation. By taking six types of cortical morphometric features from sMRI and brain functional connectivity from fMRI as predictors, the superiority of the proposed DMM-AAE is validated on infant age (35 to 848 days after birth) prediction using incomplete multimodal neuroimages. The mean absolute error of the prediction based on DMM-AAE reaches 37.6 days, outperforming state-of-the-art methods. Generally, our proposed DMM-AAE can serve as a promising model for prediction with multimodal data.
Telemedicine Orthopedic Consultations Duration and Timing in Outpatient Clinical Practice During the COVID-19 Pandemic

Introduction: Orthopedic associations advocated telemedicine during the COVID-19 pandemic to prevent disease transmission without hindering providing services to orthopedic patients. The study aimed to evaluate outpatient orthopedic teleconsultations' timing, length, and organizational issues in the circumstances of the COVID-19 pandemic based on consecutive orthopedic teleconsultations during the period of the first lockdown. Methods: Orthopedic telemedical consultations (OTCs) were provided from March 23, 2020, to June 1, 2020, and analyzed retrospectively based on mobile smartphone billing and electronic health record. Teleconsultations were based on the legal regulations of telemedicine services in Poland. Results: One thousand seventy-one patients (514 women and 557 men) with a mean age of 41.7 were teleconsulted. The length of the OTC averagely lasted 13.36 min (standard deviation 8.63). Consulted patients suffered from orthopedic disorders 65.3%, musculoskeletal injuries 26.3%, and other diseases 8.4%. Most OTCs were delayed (74.22%) concerning the planned schedule, with a median delay time of 12 min. Only 7.3% of teleconsultations were held precisely on time. Conclusions: Televisit length may not be dependent on gender, older age, or more diagnoses. The services like e-prescriptions, e-Referrals, e-Orders for orthotics, and e-Sick-leaves influence OTC length. Any extension of the patient's OTC may create a "snowball effect" of further delay for each subsequent OTC. Orthopedic teleconsultation requires new understanding and skills by both the patient and specialist physicians. Future research directions should concern the practical aspects of orthopedic teleconsultations, like legal, organizational, and technological issues and their implementation.
Influence of green finance on carbon emission intensity: empirical evidence from China based on spatial metrology

Based on the panel data of 30 provinces in China from 2011 to 2020, this paper empirically examines the direct effect, spatial spillover effect, and total effect of green finance on carbon emission intensity through the spatial econometric model, considering both spatial and temporal patterns. The results show the following: (1) The carbon emission intensity of each province in China shows a noticeable spatial spillover effect and a positive spatial correlation distribution of "high-high" and "low-low" agglomeration. (2) The development of green finance in China is interrelated but uneven in space, which presents a gradient strengthening trend from the west to the east. (3) Green finance development will curb the intensity of carbon emissions, and this effect has gradually been increasing over time and differs by region. Specifically, green finance will increase the carbon emission intensity of adjacent areas in the short term but will significantly reduce the local province's carbon emission intensity to a larger extent. Finally, it puts forward policy recommendations to promote the coordinated development of green finance and a low-carbon economy.
Pitfalls of the MTT assay: Direct and off-target effects of inhibitors can result in over/underestimation of cell viability

The MTT assay (to a less degree MTS, XTT or WST) is a widely exploited approach for measuring cell viability/drug cytotoxicity. MTT reduction occurs throughout a cell and can be significantly affected by a number of factors, including metabolic and energy perturbations, changes in the activity of oxidoreductases, endo-/exocytosis and intracellular trafficking. Over/underestimation of cell viability by the MTT assay may be due to both adaptive metabolic and mitochondrial reprogramming of cells subjected to drug treatment-mediated stress and inhibitor off-target effects. Previously, imatinib, rottlerin, ursolic acid, verapamil, resveratrol, genistein nanoparticles and some polypeptides were shown to interfere with MTT reduction rate resulting in inconsistent results between the MTT assay and alternative assays. Here, to test the under/overestimation of viability by the MTT assay, we compared results derived from the MTT assay with the trypan blue exclusion assay after treatment of glioblastoma U251, T98G and C6 cells with three widely used inhibitors with the known direct and side effects on energy and metabolic homeostasis - temozolomide (TMZ), a DNA-methylating agent, temsirolimus (TEM), an inhibitor of mTOR kinase, and U0126, an inhibitor of MEK1/2 kinases. Inhibitors were applied shortly as in IC50 evaluating studies or long as in studies focusing on drug resistance acquisition. We showed that over/underestimation of cell viability by the MTT assay and its significance depends on a cell line, a time point of viability measurement and other experimental parameters. Furthermore, we provided a comprehensive survey of factors that should be accounted in the MTT assay. To avoid result misinterpretation, supplementation of the tetrazolium salt-based assays with other non-metabolic assays is recommended.
Application of ultrasound and microencapsulation on Limosilactobacillus reuteri DSM 17938 as a metabolic attenuation strategy for tomato juice probiotication

Counteracting probiotic-induced physicochemical and sensory changes is a challenge in the development of probiotic beverages. The aim of the study is to apply ultrasound and microencapsulation for the attenuation of Limosilactobacillus reuteri DSM 17938 to avoid change in a probiotic tomato juice. Preliminarily, six ultrasound treatments were applied. Probiotic survival in acid environment (pH 2.5) and bile salts (1.5 g/l) after ultrasound treatment was also studied. The probiotic was inoculated in tomato juice in four forms: free cells (PRO-TJ), sonicated-free cells (US-TJ), untreated-microencapsulated (PRO-MC-TJ) and sonicated-microencapsulated cells (US-MC-TJ). Probiotic viability and pH were monitored during 28 days of storage at 4 and 20 °C. Sensory analysis was performed for PRO-TJ and US-MC-TJ sample (4 °C). Ultrasound (57 W for 6 min) did not affect cell survival and transitorily modulated probiotic acidifying capacity; it reduced probiotic survival in acidic environment but increased probiotic survival in bile salts solution. Ultrasound was effective in maintain pH value of tomato juice but only at 4 °C. Instead, microencapsulation with sodium-alginate leads to a more stable probiotic juice, particularly at 20 °C. Finally, probiotication slightly modified some sensory attributes of the juice. This study shows the potential of ultrasound and microencapsulation as attenuation strategies and highlights the need for process optimization to increase ultrasound efficacy.
Can You Hear Me Now? Sensitive Comparisons of Human and Machine Perception

The rise of machine-learning systems that process sensory input has brought with it a rise in comparisons between human and machine perception. But such comparisons face a challenge: Whereas machine perception of some stimulus can often be probed through direct and explicit measures, much of human perceptual knowledge is latent, incomplete, or unavailable for explicit report. Here, we explore how this asymmetry can cause such comparisons to misestimate the overlap in human and machine perception. As a case study, we consider human perception of adversarial speech - synthetic audio commands that are recognized as valid messages by automated speech-recognition systems but that human listeners reportedly hear as meaningless noise. In five experiments, we adapt task designs from the human psychophysics literature to show that even when subjects cannot freely transcribe such speech commands (the previous benchmark for human understanding), they can sometimes demonstrate other forms of understanding, including discriminating adversarial speech from closely matched nonspeech (Experiments 1 and 2), finishing common phrases begun in adversarial speech (Experiments 3 and 4), and solving simple math problems posed in adversarial speech (Experiment 5) - even for stimuli previously described as unintelligible to human listeners. We recommend the adoption of such "sensitive tests" when comparing human and machine perception, and we discuss the broader consequences of such approaches for assessing the overlap between systems.
Comic Strip Narratives in Time Geography

On the basis of a shared emphasis on time as well as space, this paper argues for introducing elements of comic art into cartography, specifically the mapped comic, with an illustrated strip literally plotted and placed in a 3D time geographic virtual world. This approach is situated within current initiatives regarding the relationship between cartography and art, given that comics are a type of sequential art. Two examples demonstrate that the approach succeeds as a way of representing the geometry of a story without compromising emotional content. Comic conventions neatly package narrative geography for visual deployment. An example demonstrating the expressiveness of comic art principles when applied to maps (maps as comics) is discussed.
Bridging different perspectives for biocultural conservation: art-based participatory research on native maize conservation in two indigenous farming communities in Oaxaca, Mexico

Native maize conservation rests on the custody of traditional and indigenous small-scale farmers, but their traditional practices and way of life are challenged by multiple forces associated with globalization, international trade and neoliberal agricultural policies. Through participatory art-based research with two indigenous communities in Oaxaca, Mexico, we identified the main challenges and strategies for native maize conservation, as perceived by these farming communities. We implemented a stepwise method to elicit local strategies for biocultural conservation pertinent across gender and generations. We conclude that understanding the heterogeneity of perspectives is important for identifying root causes of agrobiodiversity decline and strategies for biocultural native maize conservation.
Computing Systems for Autonomous Driving: State of the Art and Challenges

The recent proliferation of computing technologies (e.g., sensors, computer vision, machine learning, and hardware acceleration) and the broad deployment of communication mechanisms (e.g., dedicated short-range communication, cellular vehicle-to-everything, 5G) have pushed the horizon of autonomous driving, which automates the decision and control of vehicles by leveraging the perception results based on multiple sensors. The key to the success of these autonomous systems is making a reliable decision in real-time fashion. However, accidents and fatalities caused by early deployed autonomous vehicles arise from time to time. The real traffic environment is too complicated for current autonomous driving computing systems to understand and handle. In this article, we present state-of-the-art computing systems for autonomous driving, including seven performance metrics and nine key technologies, followed by 12 challenges to realize autonomous driving. We hope this article will gain attention from both the computing and automotive communities and inspire more research in this direction.
被撤回的出版物: A comparative study of different acceleration sensors in measuring energy consumption of human martial arts (Retracted article. See vol. 2022, 2022)

At present, there are many acceleration sensors for measuring human martial arts in the market. However, due to the inaccurate measurement of some acceleration sensors, people who love martial arts are deeply troubled and unable to find an excellent acceleration sensor specifically for energy consumption detection of human martial arts. The development of this sensor is imminent, which is of great significance for the comparative study of energy consumption measurement of human martial arts in our country. In this study, 160 students aged 11-14 years were selected, and the subjects were divided into normal body mass group and abnormal body mass group. Of the 96 male adolescents, 32 were obese body mass, which was determined as male abnormal body mass Group; 64 male adolescents were normal body weight and male normal body weight group; female 64 adolescents were normal body weight and set as female normal body mass group. Using a built-in accelerometer and a mobile phone three-dimensional accelerometer, the subjects were subjected to a 3-8 km/h human martial arts exercise load test (each speed is continuously performed for 5 min). The two acceleration sensors collectively assess the accuracy of the prediction of the use of force in human martial arts experiments. The average power consumption of human art exercises uses a frequency of 60 times/min, 90 times/min and 120 times/min compared to two acceleration sensors. Test results show that the data points for the mobile accelerator eraser are scattered, and the distance between the data varies. The data points of the three-dimensional acceleration sensor are more concentrated and present a certain trend. The use of three-dimensional acceleration sensors to measure martial arts can fully reflect the energy consumption of human activities, and achieve an energy consumption measurement accuracy of more than 94%.
Association between changes in frailty during hospitalization in older adults and 3-month mortality after discharge

Frailty is a dynamic status that can worsen or improve. However, changes in their frailty status that occur during hospitalization and their significance have not been comprehensively investigated. In this study, we explored the association between such changes and mortality 3 months after discharge in older adults hospitalized for acute care. In total, 257 participants (mean age 84.95 ± 5.88, 41.6% male) completed comprehensive geriatric assessments, including the Clinical Frailty Scale (CFS) at admission and discharge. Mean CFS score was 5.14 ± 1.35 at admission. CFS scores increased, indicating deteriorating frailty, in 29.2% of the participants (75/257) during hospitalization. Multiple logistic regression analysis demonstrated a positive association between increased CFS score during hospitalization and mortality (odds ratio, 2.987) independent of potential co-founding factors. This deterioration in frailty during hospitalization may be modifiable risk factor of poor prognosis in older adults who need acute care hospitalization.
Desorption of positive and negative ions from activated field emitters at atmospheric pressure

Field desorption (FD) traditionally is an ionization technique in mass spectrometry (MS) that is performed in high vacuum. So far only two studies have explored FD at atmospheric pressure or even superatmospheric pressure, respectively. This work pursues ion desorption from 13-µm activated tungsten emitters at atmospheric pressure. The emitters are positioned in front of the atmospheric pressure interface of a Fourier transform-ion cyclotron resonance (FT-ICR) mass spectrometer and the entrance electrode of the interface is set to 3-5 kV with respect to the emitter. Under these conditions positive, and for the first time, negative ion desorption is achieved. In either polarity, atmospheric pressure field desorption (APFD) is robust and spectra are reproducible. Both singly charged positive and negative ions formed by these processes are characterized by accurate mass-based formula assignments and in part by tandem mass spectrometry. The compounds analyzed include the ionic liquids trihexyl(tetradecyl) phosphonium tris(pentafluoroethyl) trifluorophosphate) and 1-butyl-1-methylpyrrolidinium bis(trifluoromethylsulfonyl)imide, the acidic compounds perfluorononanoic acid and polyethylene glycol diacid, as well as two amino-terminated polypropylene glycols. Some surface mobility on the emitter is prerequisite for ion desorption to occur. While ionic liquids inherently provide this mobility, the desorption of ions from solid analytes requires the assistance of a liquid matrix, e.g. glycerol.
3-D Active Contour Segmentation Based on Sparse Linear Combination of Training Shapes (SCoTS)

SCoTS captures a sparse representation of shapes in an input image through a linear span of previously delineated shapes in a training repository. The model updates shape prior over level set iterations and captures variabilities in shapes by a sparse combination of the training data. The level set evolution is therefore driven by a data term as well as a term capturing valid prior shapes. During evolution, the shape prior influence is adjusted based on shape reconstruction, with the assigned weight determined from the degree of sparsity of the representation. For the problem of lung nodule segmentation in X-ray CT, SCoTS offers a unified framework, capable of segmenting nodules of all types. Experimental validations are demonstrated on 542 3-D lung nodule images from the LIDC-IDRI database. Despite its generality, SCoTS is competitive with domain specific state of the art methods for lung nodule segmentation.
State-of-the-Art High Power Density and High Efficiency DC-DC Chopper Circuits for HEV and FCEV Applications

Recent environmental issues have accelerated the use of more efficient and energy saving technologies in any area of our daily life. One of the major energy consumptions is in the transportation area, especially in the automobile field. DC/DC chopper circuits for use in hybrid electric vehicles (HEV), fuel cell electric vehicles (FCEV) and so on will be discussed in this paper from the view point of power density and efficiency. A typical power range of such converters can be in order of kWs up to over 100 kW with a short term overload requirement of often more than 200 %. Considering the state of the art, switching frequency of these converters is in the range from 50 kHz with IGBTs to 200 kHz with power MOSFETs, the power density peaks at about 25 kW/l, and the highest efficiency is close to 98 [%] depending on the load conditions. As can be seen from the brief introduction, the design of such converter presents multiple challenges from power density as well as efficiency point of view and these are discussed further in the paper.
Heavy metals accumulation in wheat (Triticum aestivum L.) roots and shoots grown in calcareous soils treated with non-spiked and spiked sewage sludge

With growing urbanization and agriculture, the quantity of sewage sludge production increases every year. For the purpose of risk management, it is crucial to figure out how much heavy metals are transported to different parts of plants when sewage sludge is used. A greenhouse experiment was carried out to investigate the accumulation of heavy metals in wheat (Triticum aestivum L.) grown in 30 calcareous soils. The soils in this study were subjected to three different treatments: soils treated with sewage sludge at a rate of 2.5%, soils treated with sewage sludge at a rate of 2.5% and enriched with heavy metals, and control soils that received neither sewage sludge nor heavy metals. Wheat grown in sewage sludge-treated soils had the highest mean dry matter, and was 2.11 and 1.25 times greater than wheat grown in control and spiked-sewage sludge-treated soils, respectively. In all treatments, wheat roots had greater heavy metal levels than wheat shoots. Among all the heavy metals examined, Pb and Cu had the highest bioconcentration factors for roots and shoots (BCFRoots and BCFShoots) in control and sewage sludge-treated soils, followed by Cd in spiked-sewage sludge-treated soils, and Co and Ni had the lowest BCFRoots and BCFShoots across all treatments. In spiked-sewage sludge-treated soils, the root restriction for heavy metals translocation was more important for Co, Cu, and Ni than for Pb and Zn, indicating that wheat can be grown safely in a variety of calcareous soils amended with sewage sludge with high content of Cd, Co, Cu, and Ni. Reducing the transfer of Pb and Zn from soils to wheat in soils treated with sewage sludge yet having high concentrations of these heavy metals should be considered as a top priority strategy for preserving wheat products. Since a wide range of calcareous soils was used in this study and because calcareous soils make up the majority of soils in the Middle East, the findings are relevant for all of the countries in this region.