ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Performance estimation of the state-of-the-art convolution neural networks for thermal images-based gender classification system

Gender classification has found many useful applications in the broader domain of computer vision systems including in-cabin driver monitoring systems, human-computer interaction, video surveillance systems, crowd monitoring, data collection systems for the retail sector, and psychological analysis. In previous studies, researchers have established a gender classification system using visible spectrum images of the human face. However, there are many factors affecting the performance of these systems including illumination conditions, shadow, occlusions, and time of day. Our study is focused on evaluating the use of thermal imaging to overcome these challenges by providing a reliable means of gender classification. As thermal images lack some of the facial definition of other imaging modalities, a range of state-of-the-art deep neural networks are trained to perform the classification task. For our study, the Tufts University thermal facial image dataset was used for training. This features thermal facial images from more than 100 subjects gathered in multiple poses and multiple modalities and provided a good gender balance to support the classification task. These facial samples of both male and female subjects are used to fine-tune a number of selected state-of-the-art convolution neural networks (CNN) using transfer learning. The robustness of these networks is evaluated through cross validation on the Carl thermal dataset along with an additional set of test samples acquired in a controlled lab environment using prototype uncooled thermal cameras. Finally, a new CNN architecture, optimized for the gender classification task, GENNet, is designed and evaluated with the pretrained networks. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.
Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond

This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the edge of the core network (edge servers co-located with 5G base stations) and in the radio access network (sensors, actuators, etc.). The main advantages of this paradigm are core network offloading (and benefits therefrom) and low latency for delay-sensitive applications (e.g., automatic control). We have reviewed the state-of-the-art in the PEC paradigm and its applications to the IIoT domain, which have been enabled by the recent developments in 5G technology. We have classified and described three important research areas related to PEC-distributed artificial intelligence methods, energy efficiency, and cyber security. We have also identified the main open challenges that must be solved to have a scalable PEC-based IIoT network that operates efficiently under different conditions. By explaining the applications, challenges, and opportunities, our paper reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks, considering the modern trend toward private industrial 5G networks with local operations and flexible management.
Transition from Pediatric to Adult Specialty Care for Adolescents and Young Adults with Refractory Epilepsy: A Quality Improvement Approach

Adolescents and young adults with refractory epilepsy are particularly vulnerable to serious medical and psychosocial challenges during transition from pediatric to adult care. Quality improvement methods were used to address the transition process on an academic medical campus. Outcomes achieved were decreased time from referral to first appointment in the adult clinic, H=8.2, p=0.004, r=0.43; and increased social work referrals using decision support, z=10.0, p=0.0006, OR=6.13. As measured by the 13-item Patient Activation Measure, pre-post change in patient activation as an outcome of self-management education was not statistically significant.
A Multistage Deep Residual Network for Biomedical Cyber-Physical Systems

In this paper, we propose a novel biomedical cyber-physical system for automated and efficient arrhythmia and seizure detection in the time-series biomedical signals such as electrocardiogram (ECG) and electroencephalography (EEG). We use a novel multilayer, automated, and multistage deep residual network for the anomaly detection in the biomedical signals. Generally, the biomedical datasets have class imbalance problem; hence, we leverage the concepts of undersampling techniques to address this issue. The proposed algorithm is validated on the publicly available benchmark MIT-BIH Arrhythmia and CHB-MIT Scalp databases. The results show a significant improvement in terms of the sensitivity of 90% and 97.1% for supraventricular and ventricular beats for best fold, respectively. The accuracy obtained is at par with most of the state-of-the-art methods, and in particular, for the supraventricular beats, the proposed method outperforms all but one state-of-the-art method. The advantage of the proposed method is that it gives reliable results with EEG samples of small duration and, as opposed to other state-of-the-artmethods, it does not involve any preprocessing, hence computationally efficient. Additionally, the proposed algorithm provides 81% sensitivity for seizure detection in EEG signals, which is comparable to existing deep learning methods.
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems

We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometric systems on a population approaching 1,000 individuals. The majority of prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations of a few hundred users. Our work is the first to demonstrate that multimodal fingerprint and face biometric systems can achieve significant accuracy gains over either biometric alone, even when using highly accurate COTS systems on a relatively large-scale population. In addition to examining well-known multimodal methods, we introduce new methods of normalization and fusion that further improve the accuracy.
Microbiological Surveillance and State of the Art Technological Strategies for the Prevention of Dialysis Water Pollution

Methods: The present report attempts to illustrate the positive impact on the microbiological quality of dialysis patients over a 15-year period through the progressive implementation of state-of-the-art technological strategies and the optimization of microbiological surveillance procedures in five dialysis units in Sardinia. Results: Following on better microbiological, quality controls of dialysis water and improvement of procedures and equipment, a drastic improvement of microbiological water quality was observed in a total of 945 samples. The main aim was to introduce the use of microbiological culture methods as recommended by the most important guidelines. The microbiological results obtained have led to a progressive refining of controls and introduction of new materials and equipment, including two-stage osmosis and piping distribution rings featuring a greater capacity to prevent biofilm adhesion. The actions undertaken have resulted in unexpected quality improvements. Conclusions: Dialysis water should be viewed by the nephrologist as a medicinal product exerting a demonstrable positive impact on microinflammation in dialysis patients. A synergic effort between nephrologists and microbiologists undoubtedly constitutes the most effective means of preventing dialysis infections.
An initial radiation safety needs assessment of Costa Rica: The South Texas Chapter of the Health Physics Society's strategic planning appraisal for participation in the "radiation safety without boarders" initiative

In response to the Health Physics Society's recent "radiation safety without borders" initiative, the South Texas Chapter of the Health Physics Society selected Costa Rica as its partner country of choice. To develop an understanding of the radiation safety needs or this country, the fall 2001 University of Texas Health Science Center at Houston School of Public Health Environmental Radiation and Radioactivity class was tasked with the assignment of assessing the possible radiation safety needs and concerns for this country. The assignment culminated in a class presentation to the membership of the South Texas Chapter during its annual rail meeting. Using library and web based resources, the students reviewed a number of public health anti radiation-related topics. Life expectancies were found to be equivalent to the United States, even though significant differences in per capita health expenditures were noted. Costa Rica exhibited lower population mortality rates from major causes such as cardiovascular diseases, neoplasms, and external sources. Maternal anti infant mortality rates were found to be much higher in Costa Rica than in the United States. Naturally occurring radiation sources such as uranium deposits were not identified as apparent major radiation issues of concern, although ultraviolet radiation exposures are consistently high. Several recent events in the country anti the region involving patient overexposures suggest that concerns are likely focused on ensuring the proper use and maintenance of healing arts radiation equipment. The lack of available information on radioactive waste disposal suggests that waste handling also may be an issue warranting attention. The exercise proved to be very educational for the students, and the information gathered will serve to focus the Chapter's efforts when technical exchanges are initiated. The importance of linking this initiative to other existing programs within the country is also discussed.
The city-hospital link is based on the characteristics of the target population and its needs

Strengthening the city-hospital network is intended to improve the response to the needs of people who move back and forth through the healthcare system. Édouard Habib, Director of the Fédération régionale des dispositifs de ressources et d'appui à la coordination des parcours de santé d'Île-de-France, and Marie-Dominique Lussier, a geriatrician and expert in the field of health care pathways, discussed ways to achieve this goal. In particular, they specified that it was important to think in terms of target populations, to consider networking as a meta-organization capable of adapting to changing needs, and to transform digital tools into vectors for this networking.
Efficient Wireless Multimedia Multicast in Multi-Rate Multi-Channel Mesh Networks

Devices in wireless mesh networks can operate on multiple channels (MC) and automatically adjust their transmission rates for the occupied channels. This paper shows how to improve performance-guaranteed multicasting transmission coverage for wireless multihop mesh networks by exploring the transmission opportunity offered by multiple rates (MR) and MC. Based on the characteristics of transmissions with different rates, we propose and analyze parallel low-rate transmissions and alternative rate transmissions (ART) to explore the advantages of MRMC in improving the performance and coverage tradeoff under the constraint of limited channel resources. We then apply these new transmission schemes to improve the WMN multicast experience. Combined with the strategy of reliable interference-controlled connections, a novel MRMC multicast algorithm (LC-MRMC) is designed to make efficient use of channel and rate resources to greatly extend wireless multicast coverage with high throughput and short delay performance. Our NS2 simulation results prove that ART and LC-MRMC achieve improved wireless transmission quality across much larger areas as compared to other related studies.
Comparative Genomic Insights into the Evolution of Halobacteria-Associated " Candidatus Nanohaloarchaeota"

Members of the phylum "Candidatus Nanohaloarchaeota," a representative lineage within the DPANN superphylum, are characterized by their nanosized cells and symbiotic lifestyle with Halobacteria. However, the development of the symbiosis remains unclear. Here, we propose two novel families, "Candidatus Nanoanaerosalinaceae" and "Candidatus Nanohalalkaliarchaeaceae" in "Ca. Nanohaloarchaeota," represented by five dereplicated metagenome-assembled genomes obtained from hypersaline sediments or related enrichment cultures of soda-saline lakes. Phylogenetic analyses reveal that the two novel families are placed at the root of the family "Candidatus Nanosalinaceae," including the cultivated taxa. The two novel families prefer hypersaline sediments, and the acid shift of predicted proteomes indicates a "salt-in" strategy for hypersaline adaptation. They contain a lower proportion of putative horizontal gene transfers from Halobacteria than "Ca. Nanosalinaceae," suggesting a weaker association with Halobacteria. Functional prediction and historical events reconstruction disclose that they exhibit divergent potentials in carbohydrate and organic acid metabolism and environmental responses. Globally, comparative genomic analyses based on the new families enrich the taxonomic and functional diversity of "Ca. Nanohaloarchaeota" and provide insights into the evolutionary process of "Ca. Nanohaloarchaeota" and their symbiotic relationship with Halobacteria. IMPORTANCE The DPANN superphylum is a group of archaea widely distributed in various habitats. They generally have small cells and have a symbiotic lifestyle with other archaea. The archaeal symbiotic interaction is vital to understanding microbial communities. However, the formation and evolution of the symbiosis between the DPANN lineages and other diverse archaea remain unclear. Based on phylogeny, habitat distribution, hypersaline adaptation, host prediction, functional potentials, and historical events of "Ca. Nanohaloarchaeota," a representative phylum within the DPANN superphylum, we report two novel families representing intermediate stages, and we infer the evolutionary process of "Ca. Nanohaloarchaeota" and their Halobacteria-associated symbiosis. Altogether, this research helps in understanding the evolution of symbiosis in "Ca. Nanohaloarchaeota" and provides a model for the evolution of other DPANN lineages.
A bacterial secretosome for regulated envelope biogenesis and quality control?

The Gram-negative bacterial envelope is the first line of defence against environmental stress and antibiotics. Therefore, its biogenesis is of considerable fundamental interest, as well as a challenge to address the growing problem of antimicrobial resistance. All bacterial proteins are synthesised in the cytosol, so inner- and outer-membrane proteins, and periplasmic residents have to be transported to their final destinations via specialised protein machinery. The Sec translocon, a ubiquitous integral inner-membrane (IM) complex, is key to this process as the major gateway for protein transit from the cytosol to the cell envelope; this can be achieved during their translation, or afterwards. Proteins need to be directed into the inner-membrane (usually co-translational), otherwise SecA utilises ATP and the proton-motive-force (PMF) to drive proteins across the membrane post-translationally. These proteins are then picked up by chaperones for folding in the periplasm, or delivered to the β-barrel assembly machinery (BAM) for incorporation into the outer-membrane. The core hetero-trimeric SecYEG-complex forms the hub for an extensive network of interactions that regulate protein delivery and quality control. Here, we conduct a biochemical exploration of this 'secretosome' -a very large, versatile and inter-changeable assembly with the Sec-translocon at its core; featuring interactions that facilitate secretion (SecDF), inner- and outer-membrane protein insertion (respectively, YidC and BAM), protein folding and quality control (e.g. PpiD, YfgM and FtsH). We propose the dynamic interplay amongst these, and other factors, act to ensure efficient envelope biogenesis, regulated to accommodate the requirements of cell elongation and division. We believe this organisation is critical for cell wall biogenesis and remodelling and thus its perturbation could be a means for the development of anti-microbials.
Construction of Ti3C2 MXene based fire resistance nanocoating on flexible polyurethane foam for highly efficient photothermal conversion and solar water desalination

In this work, a bilayer nanocoating was constructed on the surface of flexible polyurethane (FPU) foam with Ti3C2 MXene and polyethyleneimine-modified silica nanoparticles (mSiO2-NP@PEI) through layer-by-layer self-assembly technology, successfully obtaining modified flexible polyurethane composites (MFPU) with excellent flame retardancy, photothermal conversion and solar water desalination properties. The structure and morphology of MFPU foams were characterized by X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), Transmission electron microscope (TEM) and Scanning electron microscope (SEM). The MFPU with three coating cycles (MFPU3) had the best flame retardancy and smoke suppression performances, mainly in terms of decreased peak heat release rate (pHRR), peak smoke production rate (pSPR) and total smoke production (TSP) by 71.3 %, 62.1 % and 74.5 %, respectively, compared to those of neat FPU. In addition, MFPU foams exhibited extraordinary light-to-heat conversion and solar water desalination capabilities. MFPU3 could reach 120 °C in 138 s and its steam conversion efficiency η was as high as 89.6 %, which was 116.0 % higher than that of unmodified foam and had a 262.8 % increase over pure water. The flame retardant MFPU foams with excellent photothermal conversion efficiency will exhibit great application potential in solar water desalination and power generation.
Application of radiomics in precision prediction of diagnosis and treatment of gastric cancer

Gastric cancer is one of the most common malignant tumors. Although some progress has been made in chemotherapy and surgery, it is still one of the highest mortalities in the world. Therefore, early detection, diagnosis and treatment are very important to improve the prognosis of patients. In recent years, with the proposal of the concept of radiomics, it has been gradually applied to histopathological grading, differential diagnosis, therapeutic efficacy and prognosis evaluation of gastric cancer, whose advantage is to comprehensively quantify the tumor phenotype using a large number of quantitative image features, so as to predict and diagnose the lesion area of gastric cancer early. The purpose of this review is to evaluate the research status and progress of radiomics in gastric cancer, and reviewed the workflow and clinical application of radiomics. The 27 original studies on the application of radiomics in gastric cancer were included from web of science database search results from 2017 to 2021, the number of patients included ranged from 30 to 1680, and the models used were based on the combination of radiomics signature and clinical factors. Most of these studies showed positive results, the median radiomics quality score (RQS) for all studies was 36.1%, and the development prospect and challenges of radiomics development were prospected. In general, radiomics has great potential in improving the early prediction and diagnosis of gastric cancer, and provides an unprecedented opportunity for clinical practice to improve the decision support of gastric cancer treatment at a low cost.
ColorPoetry: Multi-Sensory Experience of Color with Poetry in Visual Arts Appreciation of Persons with Visual Impairment

Visually impaired visitors experience many limitations when visiting museum exhibits, such as a lack of cognitive and sensory access to exhibits or replicas. Contemporary art is evolving in the direction of appreciation beyond simply looking at works, and the development of various sensory technologies has had a great influence on culture and art. Thus, opportunities for people with visual impairments to appreciate visual artworks through various senses such as hearing, touch, and smell are expanding. However, it is uncommon to provide a multi-sensory interactive interface for color recognition, such as integrating patterns, sounds, temperature, and scents. This paper attempts to convey a color cognition to the visually impaired, taking advantage of multisensory coding color. In our previous works, musical melodies with different combinations of pitch, timbre, velocity, and tempo were used to distinguish vivid (i.e., saturated), light, and dark colors. However, it was rather difficult to distinguish among warm/cool/light/dark colors with using sound cues only. Therefore, in this paper, we aim to build a multisensory color-coding system with combining sound and poem such that poem leads to represent more color dimensions, such as including warm and cool colors for red, orange, yellow, green, blue, and purple. To do this, we first performed an implicit association test to identify the most suitable poem among the candidate poems to represent colors in artwork by finding the common semantic directivity between the given candidate poem with voice modulation and the artwork in terms of light/dark/warm/color dimensions. Finally, we conducted a system usability test on the proposed color-coding system, confirming that poem will be an effective supplement for distinguishing between vivid, light, and dark colors with different color appearance dimensions, such as warm and cold colors. The user experience score of 15 college students was 75.1%, that was comparable with the color-music coding system that received a user experience rating of 74.1%. with proven usability.
(d, 3n) Reaction cross-section calculation of some reactor materials

Nuclear reactions with charged particles have applications in many fields such as radioisotope production, industrial applications, astrophysics, etc. Therefore, examining the excitation functions performed and obtained by the activation technique is also important for understanding the nature of nuclear reactions. Also, it is especially necessary to study these reactions to estimate the effects of radiation damage on the fusion structural materials used in the construction of the first walls and core of the reactor. In this study, cross-section data have been calculated theoretically to 45Sc (d, 3n)44Ti, 63Cu (d, 3n)62Zn, 89Y (d, 3n)88Zr, and 100Mo (d, 3n)99Tc reactions in the range of 1-50 MeV energy via ALICE/ASH, TALYS 1.95 and Empire 3.2.2 nuclear reaction codes. Optical Model Parameters (OMP) calculation for deuteron-induced reaction results has been performed via TALYS 1.95 code and the calculated cross-section values are reproduced well. Also, empirically developed (d, 3n) cross section formula (Kavun, 2020) calculations have been performed at 20 MeV energy. Finally, experimental EXFOR data was compared with all results and were found to be compatible with each other.