ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
[Transforming university hospitals while maintaining their triple mission of care, teaching and research]

University hospital have demonstrated their effectiveness since their creation in 1958. They have risen to the challenge of expertise in research, care and teaching, but also to the challenge of responsibility towards the health territories they serve. The context of the health crisis has prompted them to confirm this commitment while encouraging them to continue the evolution of a model that combines care, research and teaching.
Why is pet goods consumption imperceptible for economists? A scoping review

Nowadays, pets more frequently are becoming family members which deserve certain products and goods, as well as services. In this way, pets are becoming consumers even they do not have a possibility to make decisions (as opposed to human being) as we analyze taking into account human being. Recently pet-related topics are gaining more attention in the press and among researchers in the field of marketing and psychology. Numerous articles regarding pet-related business patterns, like pet insurance, day care and pet friendly hotels are published. No wonder, the popularity of pets among households has been growing for many years. In this article, a scoping review aimed at identifying available studies about expenditures on pet goods and owners' economic consumption choices has been conducted. A comprehensive search strategy was used across Scopus and EBSCO database. The results show that there is only a few studies concerning pet goods consumption through the lens of economic theories. As such this topic in not explored enough while the market of goods and services is growing.
Systematic review of drivers influencing building deconstructability: Towards a construct-based conceptual framework

Deconstruction is an innovative and sustainable option for building end-of-life. It can turn the negative impacts of demolition, including diverting valuable resources from the congested landfill into beneficial use through reuse and recycling. However, the feasibility of deconstruction has placed a massive limitation on the implementation of deconstruction. This research carried out a systematic literature review of 35 academic and 3 non-academic pieces of literature to develop a construct-based deconstructability framework. This framework - built around technical, economic, legal, operational, schedule and social construct - describes the condition under which deconstruction is likely to work and drivers influencing deconstructability. A total of 44 drivers influencing deconstructability were established and ranked from which design and building technology, cost including expense and revenues from the resale, supply and demand of the recovered component and material, the schedule for the deconstruction were identified as most influential. However, every identified driver should be considered during the deconstructability assessment of a building.
Bi-histogram modification method for non-uniform illumination and low-contrast images

Researchers face non-uniform illumination and low-contrast image challenges during the image-processing stage. A new contrast enhancement method is proposed in this paper to address these challenges. The proposed method first separates the dark and bright regions of an image. Then, these regions are enhanced using two new enhancers, namely, dark and bright. Modified clipped histogram equalization is then applied for contrast enhancement. Finally, the details of the image are added back into the illumination-corrected and contrast-enhanced image for the final output image. Visually, the proposed method successfully produces better images with more uniform illumination and better contrast than the state-of-the-art methods. This claim is supported by quantitative analysis that shows that the proposed method produces the best average measure of enhancement, natural image quality evaluator, and entropy values of 797 test images compared with other state-of-the-art methods.
Semantic Neighborhood-Aware Deep Facial Expression Recognition

Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to the output fluctuation limited in a small scale. This consistency is important. However, current Facial Expression Recognition (FER) datasets may have the extreme imbalance problem, as well as the lack of data and the excessive amounts of noise, hindering this consistency and leading to a performance decreasing when testing. In this paper, we not only consider the prediction accuracy on sample points, but also take the neighborhood smoothness of them into consideration, focusing on the stability of the output with respect to slight semantic perturbations of the input. A novel method is proposed to formulate semantic perturbation and select unreliable samples during training, reducing the bad effect of them. Experiments show the effectiveness of the proposed method and state-of-the-art results are reported, getting closer to an upper limit than the state-of-the-art methods by a factor of 30% in AffectNet, the largest in-the-wild FER database by now.
An Efficient K-Persistent Spread Estimator for Traffic Measurement in High-Speed Networks

Traffic measurement in high-speed networks has many important functions in improving network performance, assisting resource allocation, and detecting anomalies. In this paper, we study a generalized problem called k-persistent spread estimation, which measures the volume of persist traffic elements in each flow that appear during at least k out of t measurement periods, where k and t are two positive integers that can be arbitrarily set in user queries, with k <= t. Solutions to this problem have interesting applications in network attack detection, popular content identification, user access profiling, etc. There is very limited prior art for this problem, only addressing the special case of k = t under a flawed assumption. Removing this assumption, we propose an efficient and accurate estimator for generalized k-persistent traffic measurement, with k <= t. Our method relies on bitwise SUM, instead of bitwise AND in the prior art, to combine the information collected from different periods. This change has fundamental impact on the probabilistic analysis that derives the estimator, particular over space-saving virtual bitmaps. Based on real network traces, we demonstrate experimentally the effectiveness of our new method in estimating the k-persistent spreads of all network flows. Our estimator performs much better than the prior art on its case of k = t. We also incorporate a sampling module to the estimator for improved flexibility, and give a use study on how to detect and find DDoS attackers using the proposed estimator.
2.4-GHz Highly Selective IoT Receiver Front End With Power Optimized LNTA, Frequency Divider, and Baseband Analog FIR Filter

High selectivity becomes increasingly important with an increasing number of devices that compete in the congested 2.4-GHz industrial, scientific, and medical (ISM)-band. In addition, low power consumption is very important for Internet-of-Things (IoT) receivers. We propose a 2.4-GHz zero-intermediate frequency (IF) receiver front-end architecture that reduces power consumption by 2 x compared with state-of-the-art and improves selectivity by >20-dB without compromising on other receiver metrics. To achieve this, the entire receive chain is optimized. The low-noise transconductance amplifier (LNTA) is optimized to combine low noise with low power consumption. State-of-the-art sub-30-nm complementary metal-oxide-semiconductor (CMOS) processes have almost equal strength complementary field-effect transistors (FETs) that result in altered design tradeoffs. A Windmill 25%-duty cycle frequency divider architecture is proposed, which uses only a single NOR-gate buffer per phase to minimize power consumption and phase noise. The proposed divider requires half the power consumption and has 2 dB or more reduced phase noise when benchmarked against state-of-the-art designs. An analog finite impulse response (FIR) filter is implemented to provide very high receiver selectivity with ultralow power consumption. The receiver front end is fabricated in a 22-nm fully depleted silicon-on-insulator (FDSOI) technology and has an active area of 0.5 mm(2). It consumes 370 mu W from a 700-mV supply voltage. This low power consumption is combined with a 5.5-dB noise figure. The receiver front end has -7.5-dBm input-referred third-order-intercept point (IIP3) and 1-dB gain compression for a -22-dBm blocker, both at maximum gain of 61 dB. From three channels offset onward, the adjacent channel rejection (ACR) is >= 63 dB for Bluetooth Low-Energy (BLE), BT5.0, and IEEE802.15.4.
Optimal Joint Detection and Estimation That Maximizes ROC-Type Curves

Combined detection-estimation tasks are frequently encountered in medical imaging. Optimal methods for joint detection and estimation are of interest because they provide upper bounds on observer performance, and can potentially be utilized for imaging system optimization, evaluation of observer efficiency, and development of image formation algorithms. We present a unified Bayesian framework for decision rules that maximize receiver operating characteristic (ROC)-type summary curves, including ROC, localization ROC (LROC), estimation ROC (EROC), free-response ROC (FROC), alternative free-response ROC (AFROC), and exponentially-transformed FROC (EFROC) curves, succinctly summarizing previous results. The approach relies on an interpretation of ROC-type summary curves as plots of an expected utility versus an expected disutility (or penalty) for signal-present decisions. We propose a general utility structure that is flexible enough to encompass many ROC variants and yet sufficiently constrained to allow derivation of a linear expected utility equation that is similar to that for simple binary detection. We illustrate our theory with an example comparing decision strategies for joint detection-estimation of a known signal with unknown amplitude. In addition, building on insights from our utility framework, we propose new ROC-type summary curves and associated optimal decision rules for joint detection-estimation tasks with an unknown, potentially-multiple, number of signals in each observation.
Exploring the Factors of Cooperation between Artists and Technologists in Creating New Media Art Works: Based on AHP

The deeper the combination of art and technology, the more extensive the cooperation between artists and technologists. In many cases, the creation of New Media Art requires the cooperation of artists and technologists. However, since New Media Art is an emerging art form, the process of cocreating New Media Art between the two is at the exploration stage. Especially in areas with underdeveloped New Media Art and underdeveloped technology, there exist many problems in the cooperation between the two, such as a lack of complete understanding of the factors involved in the cooperation process and a lack of reasonable planning for the cooperation process. Therefore, this study analyzes the factors that affect the collaboration process between the two creating New Media Art. Common factors are collected from the literature and then added or deleted after expert opinions. Then, analytical hierarchy process (AHP) method is applied to get the weight of each factor and understand the influence degree of the factor. The research results show that there are relatively fixed factors influencing the collaboration process between artists and technologists in creating New Media Art, and various factors have different degrees of influence on cooperation. Therefore, in the process of cooperation between the two parties, more emphasis should be placed on the factors of cooperation, which makes the cooperation more scientific.
State of the art of thermal storage for demand-side management

Thermal energy storage (TES) is widely recognized as a means to integrate renewable energies into the electricity production mix on the generation side, but its applicability to the demand side is also possible. In recent decades, TES systems have demonstrated a capability to shift electrical loads from high-peak to off-peak hours, so they have the potential to become a powerful instrument in demand-side management programs (DSM). Thermal storage is a technology that ensures energy security, efficiency and environmental quality. Of particular interest are applications where TES systems help manage the mismatch between availability of renewable electricity and the demand for electricity in buildings where hot water, heating and cooling are delivered by heat pumps and air conditioning for example. Thus this paper demonstrates the state of the art of present applications of thermal storage for demand-side management. A particular focus of this work is the attention paid to the characteristics of DSM and their relationship to different thermal storage systems. If TES effectiveness for the abovementioned applications is demonstrated, TES devices have a small percentage of the potential market. Therefore challenges and guidelines for a development plan are suggested. (c) 2011 Elsevier Ltd. All rights reserved.
Pattern-Aided Regression Modeling and Prediction Model Analysis

This paper first introduces pattern aided regression (PXR) models, a new type of regression models designed to represent accurate and interpretable prediction models. This was motivated by two observations: (1) Regression modeling applications often involve complex diverse predictor-response relationships, which occur when the optimal regression models (of given regression model type) fitting two or more distinct logical groups of data are highly different. (2) State-of-the-art regression methods are often unable to adequately model such relationships. This paper defines PXR models using several patterns and local regression models, which respectively serve as logical and behavioral characterizations of distinct predictor-response relationships. The paper also introduces a contrast pattern aided regression (CPXR) method, to build accurate PXR models. In experiments, the PXR models built by CPXR are very accurate in general, often outperforming state-of-the-art regression methods by big margins. Usually using (a) around seven simple patterns and (b) linear local regression models, those PXR models are easy to interpret; in fact, their complexity is just a bit higher than that of (piecewise) linear regression models and is significantly lower than that of traditional ensemble based regression models. CPXR is especially effective for high-dimensional data. The paper also discusses how to use CPXR methodology for analyzing prediction models and correcting their prediction errors.
OPAQUE3, encoding a transmembrane bZIP transcription factor, regulates endosperm storage protein and starch biosynthesis in rice

Starch and storage proteins are the main components of rice (Oryza sativa L.) grains. Despite their importance, the molecular regulatory mechanisms of storage protein and starch biosynthesis remain largely elusive. Here, we identified a rice opaque endosperm mutant, opaque3 (o3), that overaccumulates 57-kDa proglutelins and has significantly lower protein and starch contents than the wild type. The o3 mutant also has abnormal protein body structures and compound starch grains in its endosperm cells. OPAQUE3 (O3) encodes a transmembrane basic leucine zipper (bZIP) transcription factor (OsbZIP60) and is localized in the endoplasmic reticulum (ER) and the nucleus, but it is localized mostly in the nucleus under ER stress. We demonstrated that O3 could activate the expression of several starch synthesis-related genes (GBSSI, AGPL2, SBEI, and ISA2) and storage protein synthesis-related genes (OsGluA2, Prol14, and Glb1). O3 also plays an important role in protein processing and export in the ER by directly binding to the promoters and activating the expression of OsBIP1 and PDIL1-1, two major chaperones that assist with folding of immature secretory proteins in the ER of rice endosperm cells. High-temperature conditions aggravate ER stress and result in more abnormal grain development in o3 mutants. We also revealed that OsbZIP50 can assist O3 in response to ER stress, especially under high-temperature conditions. We thus demonstrate that O3 plays a central role in rice grain development by participating simultaneously in the regulation of storage protein and starch biosynthesis and the maintenance of ER homeostasis in endosperm cells.
Use of muralism to promote awareness about aquatic ecosystems and wise water consumption in northwestern Ecuador

In this article, we present the results of the use of muralism as an artistic tool applied to environmental education with a focus on the promotion of awareness of aquatic ecosystems and rationed water consumption in the province of Esmeraldas in northwestern Ecuador. The research was conducted by an interdisciplinary team of professors and students from the Pontificia Universidad Catolica del Ecuador Sede Esmeraldas between 2017 and 2018 with the support of mural artists. The project involved a target audience in participating in the design and painting of four large-format murals with graphic representations of the ecosystems and people's relationship to water. The murals were developed in four different locations in the city where they could be viewed and appreciated by the community in general. One corner of each of these murals was deliberately left blank to serve as a slate where people could reflect and leave their comments. Pre- and post-test surveys were administered to the participants of this study and then evaluated and analyzed using McNemar statistics to measure the changes in participants' knowledge, awareness, and attitude. The reaction of the public to the murals was also part of the study. Their interaction was analyzed using a qualitative evaluation matrix specifically designed for this project. The results obtained in this study show that the use of mural art is an effective tool for environmental education programs. Murals represent a place for interaction; therefore, they become effective spaces for expressing and communicating messages. The impact of murals on awareness of aquatic ecosystems and use of water were more significant in children and teenagers because people are more receptive at a young age. The rest of the target groups participating in the study, although stimulated by the murals, presented minor changes in their responses. The public's reaction to the murals was extremely positive. The results showed that murals that depicted elements relating people's identity to the ecosystem helped reconnect them with nature and reminded them of their responsibility to conserve it. Thus, mural art can serve as a pedagogical tool for environmental education, helping communities connect with the environmental reality and encouraging them to commit to conservation through tangible work.
Behavior change, health, and health disparities 2022: Innovations in tobacco control and regulatory science to decrease cigarette smoking

This Special Issue of Preventive Medicine (PM) is the 9th in a series on behavior change, health, and health disparities. This topic is critically important to improving population health. Unhealthy lifestyles including substance misuse, unhealthy food choices, physical inactivity, and non-adherence with medical regimens are important preventable causes of chronic disease and premature death. This year we focus on cigarette smoking, which continues to have devastating health impacts including more than 8 million annual premature deaths globally and 480,000 in the U.S. where most of the research reported in this Special Issue was conducted. While the introduction of new tobacco products into the marketplace like electronic nicotine delivery systems (ENDS) demands attention, it is essential that we remain focused on the enormous challenges involved in eliminating cigarette smoking. This Special Issue examines innovations in tobacco control and regulatory science aimed towards reducing cigarette smoking. Discussion of new tobacco products is largely limited to their role in this overarching aim of reducing combusted cigarette use. We discuss important innovations in tobacco control (e.g., digital text-based interventions, ENDS-assisted cessation, financial incentives) and regulatory science (e.g., nicotine reduction in cigarettes, flavor bans). Throughout, attention is given to the important topic of disparities in terms of understanding the uneven adverse impacts of cigarette smoking and efforts to eliminate it, and the critical importance of researching vulnerable populations. Across these topics we have recruited contributions from accomplished investigators, clinicians, and policymakers to acquaint readers with recent advances while also noting knowledge gaps and unresolved challenges.
Spectral Image Processing for Museum Lighting Using CIE LED Illuminants

This work presents a spectral color-imaging procedure for the detailed colorimetric study of real artworks under arbitrary illuminants. The results demonstrate this approach to be a powerful tool for art and heritage professionals when deciding which illumination to use in museums, or which conservation or restoration techniques best maintain the color appearance of the original piece under any illuminant. Spectral imaging technology overcomes the limitations of common area-based point-measurement devices such as spectrophotometers, allowing a local study either pixelwise or by selected areas. To our knowledge, this is the first study available that uses the proposed CIE (Commission Internationale de l'Eclairage) light-emitting diode (LED) illuminants in the context of art and heritage science, comparing them with the three main CIE illuminants A, D50, and D65. For this, the corresponding colors under D65 have been calculated using a chromatic adaptation transform analogous to the one in CIECAM02. For the sample studied, the CIE LED illuminants with the lowest average CIEDE2000 color differences from the standard CIE illuminants are LED-V1 for A and LED-V2 for D50 and D65, with 1.23, 1.07, and 1.57 units, respectively. The work studied is a Moorish epigraphic frieze of plasterwork with a tiled skirting from the Nasrid period (12th-15th centuries) exhibited in the Museum of the Alhambra (Granada, Spain).
Evaluation and removal efficiencies of a rural WWTP for metals and anions in Lufkin, East Texas (USA)

The present study quantified element concentrations and evaluated the removal efficiencies of the Lufkin Wastewater Treatment Plant (LWWTP): a public municipal wastewater treatment plant in East Texas. Macroelements (Na, K, Mg, Ca, Al, Fe, Se, Zn, P, and S) and microelements (Ni, Pb, Mn, Cr, Mo, Cu, Co, V, As, B, Ba) were detected using ICP-OES and ICP-MS. In addition, the anion concentrations (Br-, NO3-, NO2-, PO43-, F-, Cl-, and SO42-) and their percent removal from the LWWTP were assessed by using ion chromatography. Whereas macroelements in the influent were above the maximum ceiling limits, the total metal concentrations in the effluent were found below the USEPA (below μg/L) guidelines. In general, the removal efficiencies for metals in LWWTP were ≥ 94%. The removal efficiencies of the anions were > 100% (Br-), 16.42% (Cl-), 78.89% (F-), 182.59% (NO3-), > 100% (NO2-), 51.81% (PO43-), and 67.01% (SO42-). In addition, Pierson correlation coefficients between the anions and cations, and implications for usage and suggested improvements of the treatment plants are proposed.