ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Secret-Fragment-Visible Mosaic Image-A New Computer Art and Its Application to Information Hiding

A new type of computer art image called secret-fragment-visible mosaic image is proposed, which is created automatically by composing small fragments of a given image to become a target image in a mosaic form, achieving an effect of embedding the given image visibly but secretly in the resulting mosaic image. This effect of information hiding is useful for covert communication or secure keeping of secret images. To create a mosaic image of this type from a given secret color image, the 3-D color space is transformed into a new 1-D colorscale, based on which a new image similarity measure is proposed for selecting from a database a target image that is the most similar to the given secret image. A fast greedy search algorithm is proposed to find a similar tile image in the secret image to fit into each block in the target image. The information of the tile image fitting sequence is embedded into randomly-selected pixels in the created mosaic image by a lossless LSB replacement scheme using a secret key; without the key, the secret image cannot be recovered. The proposed method, originally designed for dealing with color images, is also extended to create grayscale mosaic images which are useful for hiding text-type grayscale document images. An additional measure to enhance the embedded data security is also proposed. Good experimental results show the feasibility of the proposed method.
Magnetic Sensors: Taxonomy, Applications, and New Trends

In this paper, we present the current state of the art in magnetic sensors. The three major magnetic effects that may be used in sensing devices and applications are: the magnetic induction, based on the characteristics and properties of the magnetization loop and its dependence on control parameters such as magnetic field, temperature, and stress; the magnetoelastic coupling, based on the magnetostiction loop and its dependence on stress, temperature, and magnetic field; the magnetotransport phenomena and their macroscopic characteristics, namely, the anisotropic magnetoresistance, the giant magnetoresistance, and the magnetoimpedance. Based on the above taxonomy, we present a variety of sensing elements materials and analyze their characteristics, focusing on sensitivity and uncertainty. We also demonstrate applications in field, stress, and positioning measurements, using state-of-the-art sensor designs. Finally, we discuss the outlook in this field, focusing on the needs of industrial and medical sectors.
Examining the Scholarly Literature: A Bibliometric Study of Journal Articles Related to Sustainability and the Arts

The Arts shows great promise in working toward a sustainable future as they can have a significant influence on the development of cultural norms. Using bibliometrics, this study uncovers the current body of scholarly literature related to the intersection of sustainability and the Arts. The results show that while there are very few articles (n = 77) published in scholarly journals related to this area, the number of manuscripts and the number of journals publishing manuscripts related to this subject area is increasing. Further, while there is no one individual who stands out to date as a leader in this field, the results show that Australia and Canada have produced the most published articles. Finally, this study demonstrates that scholarly articles related to the Arts and sustainability are mostly being published in well-established interdisciplinary sustainability-related journals and journals associated with the field of education for sustainable development. The results of this study give a more definitive answer to the question: what scholarly literature resources currently exist on the intersection of the Arts and sustainability and offers the scholarly community a better idea of what and how those involved in this area are publishing and mobilizing knowledge regarding their work.
Data-driven evaluation framework for the effectiveness of rural vitalization in China: an empirical case study of Hubei Province

Rural vitalization (RV) has attracted more and more attention in China, especially since the Rural Vitalization Strategy (RVS) was proposed to restrict rural decline in 2017. The evaluation of RV is an effective means to objectively identify the characteristics and problems of rural development, so exploring scientific and rational evaluation methods is important for sustainable rural development. Therefore, this study builds a data-driven evaluation framework from a "bottom-up" perspective, and selects Hubei Province as the object to evaluate the effectiveness of RV. The evaluation index system is formed based on the concept and connotation of RV, which contains six dimensions, namely thriving businesses (TB), pleasant living environments (PLE), social etiquette and civility (SEC), effective governance (EG), living in prosperity (LP), and organization system (OS). The empirical results indicate that there is a low level of variation of the total scores but an obvious disparity in the dimensional scores in 13 prefecture-level and 83 county-level regions. At county-level, the regional development stage has an impact on the effectiveness of RV, and regions with a higher economy or endowed with better resources perform better. The results of spatial analysis further reveal that there is regional agglomeration as well as differences in various dimensions, and regions with characteristic industries or policy support perform better. Compared with the traditional evaluation method, differentiated evaluation objectives and diversified data are considered in the evaluation process of this study. The results and discussion shown in this study could provide empirical evidence for policymakers to effectively promote RV in the future.
Ischemic accumulation of succinate induces Cdc42 succinylation and inhibits neural stem cell proliferation after cerebral ischemia/reperfusion

Ischemic accumulation of succinate causes cerebral damage by excess production of reactive oxygen species. However, it is unknown whether ischemic accumulation of succinate affects neural stem cell proliferation. In this study, we established a rat model of cerebral ischemia/reperfusion injury by occlusion of the middle cerebral artery. We found that succinate levels increased in serum and brain tissue (cortex and hippocampus) after ischemia/reperfusion injury. Oxygen-glucose deprivation and reoxygenation stimulated primary neural stem cells to produce abundant succinate. Succinate can be converted into diethyl succinate in cells. Exogenous diethyl succinate inhibited the proliferation of mouse-derived C17.2 neural stem cells and increased the infarct volume in the rat model of cerebral ischemia/reperfusion injury. Exogenous diethyl succinate also increased the succinylation of the Rho family GTPase Cdc42 but repressed Cdc42 GTPase activity in C17.2 cells. Increasing Cdc42 succinylation by knockdown of the desuccinylase Sirt5 also inhibited Cdc42 GTPase activity in C17.2 cells. Our findings suggest that ischemic accumulation of succinate decreases Cdc42 GTPase activity by induction of Cdc42 succinylation, which inhibits the proliferation of neural stem cells and aggravates cerebral ischemia/reperfusion injury.
Teledentistry and oral health in older adults - aspects for implementation of the "Patient centric solution for smart and sustainable healthcare (ACESO)" project

P u r p o s e: Oral health and diseases are significant components of general health. However, oral health-care remains at the lowest of older patients' priorities. The inability to obtain dental care can result in progression of dental disease, leading to a diminished quality of life and overall health. Teledentistry (TD) provides an opportunity to improve the quality of oral health services. The aim of our narrative review was to analyze the usefulness of teledentistry as a part of telemedicine to improve oral health in the elderly. Materials/Methods: The PubMed database search was done for: teledentistry, oral health, oral- health related diseases, elderly, older adults. R e s u l t s: The applicability of TD has been demonstrated from children to older adults. Older adults have many obstacles in getting oral health care, including low income, lack health insurance, frailty, anxiety, depression, mobility problems or other handicaps. Available data suggests that the usefulness of TD in the provision of oral care in elderly people living in residential aged care facilities. Moreover, TD procedures were found to be as accurate as traditional face-to-face dental examinations, they was cost-effective and well accepted among patients and caregivers. C o n c l u s i o n s: TD might be a very useful tool for professional education, improving access and patient satisfaction of dental care. However, such TD modes would be difficult to widely implementation in community-dwelling older people who cannot access dental care. The ongoing "Patient centric solution for smart and sustainable healthcare (ACESO)" project will add to the intelligent oral health solutions.
A Local Perturbation Generation Method for GAN-Generated Face Anti-Forensics

Although the current generative adversarial networks (GAN)-generated face forensic detectors based on deep neural networks (DNNs) have achieved considerable performance, they are vulnerable to adversarial attacks. In this paper, an effective local perturbation generation method is proposed to expose the vulnerability of state-of-the-art forensic detectors. The main idea is to mine the fake faces' areas of common concern in multiple-detectors' decision-making, then generate local anti-forensic perturbations by GANs in these areas to enhance the visual quality and transferability of anti-forensic faces. Meanwhile, in order to improve the anti-forensic effect, a double- mask (soft mask and hard mask) strategy and a three-part loss (the GAN training loss, the adversarial loss consisting of ensemble classification loss and ensemble feature loss, and the regularization loss) are designed for the training of the generator. Experiments conducted on fake faces generated by StyleGAN demonstrate the proposed method's advantage over the state-of-the-art methods in terms of anti-forensic success rate, imperceptibility, and transferability. The source code is available at https://github.com/imagecbj/A-Local-Perturbation-Generation-Method-for-GAN-generated-Face-Anti-forensics.
Fast large-scale object retrieval with binary quantization

The objective of large-scale object retrieval systems is to search for images that contain the target object in an image database. Where state-of-the-art approaches rely on global image representations to conduct searches, we consider many boxes per image as candidates to search locally in a picture. In this paper, a feature quantization algorithm called binary quantization is proposed. In binary quantization, a scale-invariant feature transform (SIFT) feature is quantized into a descriptive and discriminative bit-vector, which allows itself to adapt to the classic inverted file structure for box indexing. The inverted file, which stores the bit-vector and box ID where the SIFT feature is located inside, is compact and can be loaded into the main memory for efficient box indexing. We evaluate our approach on available object retrieval datasets. Experimental results demonstrate that the proposed approach is fast and achieves excellent search quality. Therefore, the proposed approach is an improvement over state-of-the-art approaches for object retrieval. (C) 2015 SPIE and IS&T
SLC44A1-PRKCA fusion in papillary and rosette-forming glioneuronal tumors

We investigated the fused protein of solute carrier family 44 choline transporter member 1 (SLC44A1) and protein kinase C alpha (PRKCA) in three patients with papillary glioneuronal tumors (PGNT). PGNT and rosette-forming glioneuronal tumors (RGNT) are recently identified, unusual glioneuronal tumor variants which were categorized as novel tumor entities in the 2007 World Health Organization classification system. The molecular background of these tumors remains poorly understood due to the paucity of studies. The SLC44A1-PRKCA fusion was recently detected in three cases of PGNT. We invesitgated for the SLC44A1-PRKCA fusion protein in the three PGNT patients and a further two with RGNT using fluorescence in situ hybridization. Two out of the three PGNT patients had a fused signal (paired red-green signal) representing a rearrangement on chromosomes 9 and 17. A normal signal pattern was observed in the third PGNT patient. Neither of the two RGNT patients demonstrated a fused signal. This suggests that the SLC44A1-PRKCA fusion is a characteristic alteration in PGNT but not RGNT. Therefore, it is a potential biomarker of PGNT. The paired red-green signal that was observed in the PGNT patients implies the presence of a different breakpoint than that previously reported in the 9q31 and 17q24 genes.
The Segmentation of 3D Images Using the Random Walking Technique on a Randomly Created Image Adjacency Graph

This paper considers the problem of image segmentation using the random walker algorithm. In the case of 3D images, the method uses an extreme amount of memory and time resources. These are required in order to represent the corresponding enormous image graph and to solve the resulting sparse linear system. Having in mind these limitations, this paper proposes techniques for the optimization of the random walker approach. The optimization is obtained by processing supervoxels representing homogeneous image regions rather than single voxels. A fast and efficient method for supervoxel determination is introduced. A method for the creation of an image adjacency graph from an irregular grid of supervoxels is also proposed. The results of applying the introduced approach to segmentation of 3D CT data sets are presented and compared with the results of the original random walker approach and other state-of-the-art methods. The accuracy and the computational overhead is regarded in the comparison. The analysis of results shows that the modified method can be successfully applied for the segmentation of volumetric images and provides results in a reasonable time without a significant loss in the image segmentation accuracy. It also outperforms the state-of-the-art methods considered in the comparison.
The Value of Active Arts Engagement on Health and Well-Being of Older Adults: A Nation-Wide Participatory Study

An emerging body of research indicates that active arts engagement can enhance older adults' health and experienced well-being, but scientific evidence is still fragmented. There is a research gap in understanding arts engagement grounded in a multidimensional conceptualization of the value of health and well-being from older participants' perspectives. This Dutch nation-wide study aimed to explore the broader value of arts engagement on older people's perceived health and well-being in 18 participatory arts-based projects (dance, music, singing, theater, visual arts, video, and spoken word) for community-dwelling older adults and those living in long term care facilities. In this study, we followed a participatory design with narrative- and arts-based inquiry. We gathered micro-narratives from older people and their (in)formal caregivers (n = 470). The findings demonstrate that arts engagement, according to participants, resulted in (1) positive feelings, (2) personal and artistic growth, and (3) increased meaningful social interactions. This study concludes that art-based practices promote older people's experienced well-being and increase the quality of life of older people. This study emphasizes the intrinsic value of arts engagement and has implications for research and evaluation of arts engagement.
Joint Reconstruction of Tracer Distribution and Background in Magnetic Particle Imaging

Magnetic particle imaging (MPI) is a novel tomographic imaging technique, which visualizes the distribution of a magnetic nanoparticle-based tracer material. However, reconstructed MPI images often suffer from an insufficiently compensated image background caused by rapid non-deterministic changes in the background signal of the imaging device. In particular, the signal-to-background ratio (SBR) of the images is reduced for lower tracer concentrations or longer acquisitions. The state-of-the-art procedure in MPI is to frequently measure the background signal during the sample measurement. Unfortunately, this requires a removal of the entire object from the scanner's field of view (FOV), which introduces dead time and repositioning artifacts. To overcome these considerable restrictions, we propose a novel method that uses two consecutive image acquisitions as input parameters for a simultaneous reconstruction of the tracer distribution, as well as the background signal. The two acquisitions differ by just a small spatial shift, while keeping the object always within the focus of a slightly reduced FOV. A linearly interpolated background between the initial and final background measurement is used to seed the iterative reconstruction. The method has been tested with simulations and phantom measurements. Overall, a substantial reduction of the image background was observed, and the image SBR is increased by a factor of 2(7) for the measurement (simulation) data.
Spatio-Temporal Representation Matching-Based Open-Set Action Recognition by Joint Learning of Motion and Appearance

In this paper, we propose the spatio-temporal representation matching (STRM) for video-based action recognition under the open-set condition. Open-set action recognition is a more challenging problem than closed-set action recognition since samples of the untrained action class need to be recognized and most of the conventional frameworks are likely to give a false prediction. To handle the untrained action classes, we propose STRM, which involves jointly learning both motion and appearance. STRM extracts spatio-temporal representations from video clips through a joint learning pipeline with both motion and appearance information. Then, STRM computes the similarities between the ST-representations to find the one with highest similarity. We set the experimental protocol for open-set action recognition and carried out experiments on UCF101 and HMDB51 to evaluate STRM. We first investigated the effects of different hyper-parameter settings on STRM, and then compared its performance with existing state-of-the-art methods. The experimental results showed that the proposed method not only outperformed existing methods under the open-set condition, but also provided comparable performance to the state-of-the-art methods under the closed-set condition.
Caffeic Acid-Grafted PLGA as a Novel Material for the Design of Fluvastatin-Eluting Nanoparticles for the Prevention of Neointimal Hyperplasia

Drug-eluting nanoparticles (NPs) administered by an eluting balloon represent a novel tool to prevent restenosis after angioplasty, even if the selection of the suitable drug and biodegradable material is still a matter of debate. Herein, we provide the proof of concept of the use of a novel material obtained by combining the grafting of caffeic acid or resveratrol on a poly(lactide-co-glycolide) backbone (g-CA-PLGA or g-RV-PLGA) and the pleiotropic effects of fluvastatin chosen because of its low lipophilic profile which is challenging for the encapsulation in NPs and delivery to the artery wall cells. NPs made of such materials are biocompatible with macrophages, human smooth muscle cells (SMCs), and endothelial cells (ECs). Their cellular uptake is demonstrated and quantified by confocal microscopy using fluorescent NPs, while their distribution in the cytoplasm is verified by TEM images using NPs stained with an Ag-PVP probe appositely synthetized. g-CA-PLGA assures the best control of the FLV release from NP sizing around 180 nm and the faster SMC uptake, as demonstrated by confocal analyses. Interestingly and surprisingly, g-CA-PLGA improves the FLV efficacy to inhibit the SMC migration, without altering its effects on EC proliferation and migration. The improved trophism of NPs toward SMCs, combined with the excellent biocompatibility and low modification of the microenvironment pH upon polymer degradation, makes g-CA-PLGA a suitable material for the design of drug-eluting balloons.
Understanding the hydrochemical functioning of glacierized catchments of the Upper Indus Basin in Ladakh, Indian Himalayas

Recent studies have endorsed that surface water chemical composition in the Himalayas is impacted by climate change-induced accelerated melting of glaciers. Chemical weathering dynamics in the Ladakh region is poorly understood, due to unavailability of in situ dataset. The aim of the present study is to investigate how the two distinct catchments (Lato and Stok) drive the meltwater chemistry of the Indus River and its tributary, in the Western Himalayas. Water samples were collected from two glaciated catchments (Lato and Stok), Chabe Nama (tributary) and the Indus River in Ladakh. The mildly alkaline pH (range 7.3-8.5) and fluctuating ionic trend of the meltwater samples reflected the distinct geology and weathering patterns of the Upper Indus Basin (UIB). Gibbs plot and mixing diagram revealed rock weathering outweighed evaporation and precipitation. The strong associations between Ca2+-HCO3-, Mg2+-HCO3-, Ca2+-Mg2+, Na+-HCO3-, and Mg2+-Na+ demonstrated carbonate rock weathering contributed to the major ion influx. Principal component analysis (PCA) marked carbonate and silicates as the most abundant minerals respectively. Chemical weathering patterns were predominantly controlled by percentage of glacierized area and basin runoff. Thus, Lato with the larger glacierized area (~ 25%) and higher runoff contributed low TDS, HCO3-, Ca2+, and Na+ and exhibited higher chemical weathering, whereas lower chemical weathering was evinced at Stok with the smaller glacierized area (~ 5%). In contrast, the carbonate weathering rate (CWR) of larger glacierized catchments (Lato) exhibits higher average value of 15.7 t/km2/year as compared to smaller glacierized catchment (Stok) with lower average value 6.69 t/km2/year. However, CWR is high in both the catchments compared to silicate weathering rate (SWR). For the first time, in situ datasets for stream water chemical characteristics have been generated for Lato and Stok glaciated catchments in Ladakh, to facilitate healthy ecosystems and livelihoods in the UIB.