ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Spatial pattern and co-occurrence network of microbial community in response to extreme environment of salt lakes on the Qinghai-Tibet Plateau

Microbial communities are important components of alpine lakes, especially in extreme environments such as salt lakes. However, few studies have examined the co-occurrence network of microbial communities and various environmental factors in the water of salt lakes on the Qinghai-Tibet Plateau. From May to June 2019, nine samples from seven salt lakes with water salinity ranges from 13 to 267‰ on the Qinghai-Tibet Plateau were collected. There were great differences between low-salinity samples and high-salinity samples in the inorganic salt ion concentration, pH, and biodiversity. In addition, the microbial community sturcture in low-salinity samples and high-salinity samples differed, suggesting that each sample has its own specific species. The co-occurrence network suggests that salinity was the most important forcing factor. We believe that salinity and inorganic salt ions can result in differences in microbial community in different salt lakes. This sequencing survey of multiple salt lakes with various salinities on the Qinghai-Tibet Plateau enhances our understanding of the response of microbial communities to environmental heterogeneity.
Technologies for large scale seawater desalination using concentrated solar radiation

This paper shows the principles and the present state of the art of concentrating solar power technology and explains the option for seawater desalination, either using electricity or steam generated in such plants. The economic potential of this technology in the MENA region can cope with the present and the expected future demand of electricity and water. First projects are now being realized, for electricity and also for combined heat and power for desalination, electricity and cooling
Adaptive Decision Forest: An incremental machine learning framework

In this study, we present an incremental machine learning framework called Adaptive Decision Forest (ADF), which produces a decision forest to classify new records. Based on our two novel theorems, we introduce a new splitting strategy called iSAT, which allows ADF to classify new records even if they are associated with previously unseen classes. ADF is capable of identifying and handling concept drift; it, however, does not forget previously gained knowledge. Moreover, ADF is capable of handling big data if the data can be divided into batches. We evaluate ADF on nine publicly available natural datasets and one synthetic dataset, and compare the performance of ADF against the performance of eight state-of-the-art techniques. We also examine the effectiveness of ADF in some challenging situations. Our experimen-tal results, including statistical sign test and Nemenyi test analyses, indicate a clear superiority of the proposed framework over the state-of-the-art techniques. (c) 2021 Elsevier Ltd. All rights reserved.
Harvest of Bombax ceiba for the Aboriginal arts industry, central Arnhem Land, Australia

Aboriginal people in remote Australian communities have limited opportunity to participate in the market economy. The Aboriginal arts and craft industry offers an important option to generate cash income and the sustained supply of native plants used in production is vital. We assessed the current harvest of a rainforest tree species commonly used for sculpture, Bombax ceiba. Information from field surveys, a regional rainforest inventory and sales figures from the Maningrida region were used to estimate the population size and structure of B. ceiba, the harvest intensity of. patches and the economic value of the harvest. We estimate the density of B. ceiba to be 105.10 +/- 12.32 stems ha(-1) and a regional population of 76615 +/- 14063 stems. A cumulative harvest over 20 years of 6% suggests approximately 4596 stems harvested, and the harvest was worth about $200,000 over the last three years. The majority (80%) of harvested stems coppiced and were suitable for harvesting. Logistic regression suggests both distance to outstation and township influence harvesting intensity, with some localised over-harvest. Rainforests provide a valuable resource to Aboriginal artists in Maningrida and their maintenance provides important conservation benefits to the Australian community. (C) 2003 Elsevier Science Ltd. All rights reserved.
Poliomyelitis is a current challenge: long-term sequelae and circulating vaccine-derived poliovirus

For more than 20 years, the World Health Organization Western Pacific Region (WPR) has been polio-free. However, two current challenges are still polio-related. First, around half of poliomyelitis elderly survivors suffer late poliomyelitis sequelae with a substantial impact on daily activities and quality of life, experiencing varying degrees of residual weakness as they age. The post-polio syndrome as well as accelerated aging may be involved. Second, after the worldwide Sabin oral poliovirus (OPV) vaccination, the recent reappearance of strains of vaccine-derived poliovirus (VDPV) circulating in the environment is worrisome and able to persistent person-to-person transmission. Such VDPV strains exhibit atypical genetic characteristics and reversed neurovirulence that can cause paralysis similarly to wild poliovirus, posing a significant obstacle to the elimination of polio. Immunization is essential for preventing paralysis in those who are exposed to the poliovirus. Stress the necessity of maintaining high vaccination rates because declining immunity increases the likelihood of reemergence. If mankind wants to eradicate polio in the near future, measures to raise immunization rates and living conditions in poorer nations are needed, along with strict observation. New oral polio vaccine candidates offer a promissory tool for this goal.
The synthetic lethality of targeting cell cycle checkpoints and PARPs in cancer treatment

Continuous cell division is a hallmark of cancer, and the underlying mechanism is tumor genomics instability. Cell cycle checkpoints are critical for enabling an orderly cell cycle and maintaining genome stability during cell division. Based on their distinct functions in cell cycle control, cell cycle checkpoints are classified into two groups: DNA damage checkpoints and DNA replication stress checkpoints. The DNA damage checkpoints (ATM-CHK2-p53) primarily monitor genetic errors and arrest cell cycle progression to facilitate DNA repair. Unfortunately, genes involved in DNA damage checkpoints are frequently mutated in human malignancies. In contrast, genes associated with DNA replication stress checkpoints (ATR-CHK1-WEE1) are rarely mutated in tumors, and cancer cells are highly dependent on these genes to prevent replication catastrophe and secure genome integrity. At present, poly (ADP-ribose) polymerase inhibitors (PARPi) operate through "synthetic lethality" mechanism with mutant DNA repair pathways genes in cancer cells. However, an increasing number of patients are acquiring PARP inhibitor resistance after prolonged treatment. Recent work suggests that a combination therapy of targeting cell cycle checkpoints and PARPs act synergistically to increase the number of DNA errors, compromise the DNA repair machinery, and disrupt the cell cycle, thereby increasing the death rate of cancer cells with DNA repair deficiency or PARP inhibitor resistance. We highlight a combinational strategy involving PARP inhibitors and inhibition of two major cell cycle checkpoint pathways, ATM-CHK2-TP53 and ATR-CHK1-WEE1. The biological functions, resistance mechanisms against PARP inhibitors, advances in preclinical research, and clinical trials are also reviewed.
IL-8 signaling is up-regulated in alcoholic hepatitis and DDC fed mice with Mallory Denk Bodies (MDBs) present

Chemokines and their receptors are involved in oncogenesis and in tumor progression, invasion, and metastasis. Various chemokines also promote cell proliferation and resistance to apoptosis of stressed cells. The chemokine CXCL8, also known as interleukin-8 (IL-8), is a proinflammatory molecule that has functions within the tumor microenvironment. Deregulation of IL-8 signaling is shown to play pivotal roles in tumorigenesis and progression. Mallory-Denk Bodies (MDBs) are prevalent in various liver diseases including alcoholic hepatitis (AH) and are formed in mice livers by feeding DDC. By comparing AH livers where MDBs had formed with normal livers, there were significant changes of IL-8 signaling by RNA sequencing (RNA-Seq) analyses. Real-time PCR analysis of CXCR2 further shows a 6-fold up-regulation in AH livers and a 26-fold up-regulation in the livers of DDC re-fed mice. IL-8 mRNA was also significantly up-regulated in AH livers and DDC re-fed mice livers. This indicates that CXCR2 and IL-8 may be crucial for liver MDB formation. MDB containing balloon hepatocytes in AH livers had increased intensity of staining of the cytoplasm for both CXCR2 and IL-8. Overexpression of IL-8 leads to an increase of the mitogen activated protein kinase (MAPK) cascade and exacerbates the inflammatory cycle. These observations constitute a demonstration of the altered regulation of IL-8 signaling in the livers of AH and mice fed DDC where MDBs formed, providing further insight into the mechanism of MDB formation mediated by IL-8 signaling in AH.
Interference of nuclear wavepackets in a pair of proton transfer reactions

Quantum mechanics revolutionized chemists' understanding of molecular structure. In contrast, the kinetics of molecular reactions in solution are well described by classical, statistical theories. To reveal how the dynamics of chemical systems transition from quantum to classical, we study femtosecond proton transfer in a symmetric molecule with two identical reactant sites that are spatially apart. With the reaction launched from a superposition of two local basis states, we hypothesize that the ensuing motions of the electrons and nuclei will proceed, conceptually, in lockstep as a superposition of probability amplitudes until decoherence collapses the system to a product. Using ultrafast spectroscopy, we observe that the initial superposition state affects the reaction kinetics by an interference mechanism. With the aid of a quantum dynamics model, we propose how the evolution of nuclear wavepackets manifests the unusual intersite quantum correlations during the reaction.
Perceived risk and attitude's mediating role between tourism knowledge and visit intention during the COVID-19 pandemic: implementation for coastal-ecotourism management

CMC Tiga Warna is one of the coastal area management for conservation and ecotourism in southern Malang, Indonesia. Despite fewer tourist visits, the COVID-19 pandemic did not dissuade locals from managing and protecting ecotourism in the coastal area. This study aims to: (a) to describe coastal ecosystem management; and (b) to analyze coastal ecotourist visit intention related to tourism knowledge, perceived health risk, and risk attitude in the post-COVID-19 era as a part of developing strategy for coastal ecosystem management in the study area from the perspective of ecotourists and destination management. CMC Tiga Warna management, community group supervisors, the local community, and a variety of experts were interviewed in order to gather data for the current strategy. Coastal ecotourist visit intention data from domestic ecotourists was gathered via online and offline surveys. Analyzing the visit intention data with Warp-PLS. Using the visit intention model and interview data, the coastline management strategy was described. This study found that the coastal environment management plan constantly involved ecotourists and locals. Tourism knowledge and risk attitude are positively related to the visit intention, however perceived health risk is negatively related to it. The significant positive relationship between tourism knowledge and ecotourist visit intention is mediated by perceived health risk and risk attitude. Development of the coastal ecosystem management plan could be supported by boosting visit intention, ecotourism visits, or economic incentive as a motive for sustaining the conservation program's consistency, and ecological and social rewards in a sustainable manner. This study added to the Theory of Reasoned Action by adding two additional factors, tourist knowledge and perceived health risk, in addition to the attitude to predict the visit intention. The ecotourism manager should provide varied tourist information and knowledge as needed, reduce COVID-19 exposure risk at tourist destinations, and increase risk attitude.
Exposing computer generated images by using deep convolutional neural networks

The recent computer graphics developments have upraised the quality of the generated digital content, astonishing the most skeptical viewer. Games and movies have taken advantage of this fact but, at the same time, these advances have brought serious negative impacts like the ones yielded by fake images produced with malicious intents. Digital artists can compose artificial images capable of deceiving the great majority of people, turning this into a very dangerous weapon in a timespan currently know as "Fake News/Post-Truth" Era. In this work, we propose a new approach for dealing with the problem of detecting computer generated images, through the application of deep convolutional networks and transfer learning techniques. We start from Residual Networks and develop different models adapted to the binary problem of identifying if an image was, or not, computer generated. Differently from the current state-of-the-art approaches, we do not rely on hand-crafted features, but provide to the model the raw pixel information, achieving the same 0.97 performance of state-of-the-art methods with three main advantages: (i) executes considerably faster than state-of-the-art methods with equivalent accuracy; (ii) eliminates the laborious and manual step of specialized features extraction and selection, and (iii) is very robust against image processing operations as noise addition, blur and JPEG compression.
Desalination by using alternative energy: Review and state-of-the-art

Energy is a critical parameter for economic and of vital importance in social and industrial development, as it is also quality water. Numerous low-density population areas lack not only fresh water availability, but in most of the cases electrical grid connection or any other energy source as well, except for renewable energy sources, mostly referring to solar radiation. For these regions desalination is a moderate solution for their needs. In using RE desalination there are two separate and different technologies involved: energy conversion and desalination systems. The real problem in these technologies is the optimum economic design and evaluation of the combined plants in order to be economically viable for remote or and regions. Conversion of renewable energies, including solar, requires high investment cost and though the intensive R&D effort technology is not yet enough mature to be exploited through large-scale applications. This paper presents a review of the highlights that have been achieved during the recent years and the state-of-the-art for most important efforts in the field of desalination by renewable energies, with emphasis on solar energy applications.
The complete plastid genome of Piper kadsura (Piperaceae), an East Asian woody vine

We sequenced the complete plastid genome (plastome) for Piper kadsura, a woody vine endemic to East Asia. This species is part of the largest genus within Piperaceae and its genome is almost identical to its congener P. cenocladum. The plastome for P. kadsura comprises 131 genes, including four unique rRNAs, 30 tRNAs, and 79 protein-coding genes. It retains ycf1 as an intact open reading frame. Our phylogenetic analysis demonstrated the monophyly of the Piper genus. The additional plastome sequence found in this evolutionarily and economically important genus will be a valuable, fundamental tool for future studies of phylogenetic relationships among basal angiosperms, and will provide a useful resource for molecular breeding programs.
An integrated content and metadata based retrieval system for art

A new approach to image retrieval is presented in the domain of museum and gallery image collections. Specialist algorithms, developed to address specific retrieval tasks, are combined with more conventional content and metadata retrieval approaches, and implemented within a distributed architecture to provide cross-collection searching and navigation in a seamless way. External systems can access the different collections using interoperability protocols and open standards, which were extended to accommodate content based as well as text based retrieval paradigms.. After brief overview of the complete system, we describe the novel design and evaluation of some of the specialist image analysis algorithms including a method for image retrieval based on sub-image queries, retrievals based on very low quality images and retrieval using canvas crack patterns. We show how effective retrieval results can be achieved by real end-users consisting of major museums and galleries, accessing the distributed but integrated digital collections.
Stimulus-Responsive Lanthanide MOF Materials Encapsulated with Viologen Derivatives: Characterization, Photophysical Properties and Sensing on Nitrophenols

Viologens (1,1'-disubstituted 4,4'-bipyridyls) possessing electron-deficient properties and redox activity are a class of suitable chromophores to assemble metal-organic hybrid photochromic materials. Thus, viologen-functionalized metal-organic frameworks (MOFs) have attracted much attention for their photochromic properties; however, the syntheses of lanthanide-viologen hybrid crystalline photochromic materials still face many challenges. For example, the structures and properties of the final products are difficult to predict and are limited by molecular configurations. In this work, host-guest composite-material Ln-NH2 BDC-pbpy MOFs were constructed by encapsulating viologen derivative pbpyCl2 . The pbpy2+ moieties are uniformly embed by their π-π conjugation in the pores of the 3D structure by electrostatic interactions. Due to the encapsulation of the chromophore pbpy2+ moieties, Ln-NH2 BDC-pbpy MOFs have reversible photochromic properties: they can change color after irradiation and can return to the original color after being protected from light or heating. Interestingly, the fluorescence intensity decreases with illumination time and recovers in the dark. As a result, Ln-NH2 BDC-pbpy MOFs show both photochromic and photomodulated fluorescence. Based on the outstanding fluorescence performance of the Ln-NH2 BDC-pbpy MOFs, they also show a wonderful effect for detecting nitrophenols, especially TNP.
Image saliency detection for multiple objects

Traditional saliency detection methods are designed only for a single salient object and cannot detect multiple salient objects in the image. This paper proposes a novel method for detecting multiple salient objects in the image, which is based on both objectness estimation method and superpixel segmentation method. The present study shows that the proposed method can correctly detect the salient regions for multiple objects and outperforms the other three state-of-the-art saliency detection methods.
Sustainability and creativity through mail art: A case study with young artists in universities

Universities around the world are making considerable efforts to contribute to sustainable development through their institutional frameworks, education, research or community awareness. This article discusses how young artists connect with sustainability problems through an analysis of individual artistic creativity (visions, sources of inspiration, messages and communicative strategies) by means of a novel interpretive arts-based research methodology: mail art. A collection of mail art individually created by 29 young artists who also provide selfreports on the meaning of their work, the creation process and its intent are analyzed using a qualitative content analysis methodology complemented by an aesthetic inquiry into the artistic qualities and creative techniques of the collection. The research concludes that the collection reproduces but also produces messages promoting a sustainability culture. It promotes individual actions for sustainability with everyday creativity using expert knowledge and describes visions and attitudes expressed by young people to detect gaps and to develop a more informed education for sustainable development in universities. Although there are individual differences, the participants generally show appropriate values -such as universalism-, and a desire for ethical action within an ecocentric worldview, displaying constructive hope. However, the collection stands out for a collective, global and future-oriented, versus individual, local and present-oriented framing, running the risk of becoming visions that can delay transformative actions. Some of the most conclusive recommendations of the study are the need to work on the issues of equity and equality in universities today, to enhance the critical perspective of students and to change their current role from that of merely observers to agents for change.
Platinum@Hexaniobate Nanopeapods: A Directed Photocatalytic Architecture for Dye-Sensitized Semiconductor H2 Production under Visible Irradiation

Platinum@hexaniobate nanopeapods (Pt@HNB NPPs) are a nanocomposite photocatalyst that was selectively engineered to increase the efficiency of hydrogen production from visible light photolysis. Pt@HNB NPPs consist of linear arrays of high surface area Pt nanocubes encapsulated within scrolled sheets of the semiconductor HxK4-xNb6O17 and were synthesized in high yield via a facile one-pot microwave heating method that is fast, reproducible, and more easily scalable than multi-step approaches required by many other state-of-the-art catalysts. The Pt@HNB NPPs' unique 3D architecture enables physical separation of the Pt catalysts from competing surface reactions, promoting electron efficient delivery to the isolated reduction environment along directed charge transport pathways that kinetically prohibit recombination reactions. Pt@HNB NPPs' catalytic activity was assessed in direct comparison to representative state-of-the-art Pt/semiconductor nanocomposites (extPt-HNB NScs) and unsupported Pt nanocubes. Photolysis under similar conditions exhibited superior H2 production by the Pt@HNB NPPs, which exceeded other catalyst H2 yields (mu mol) by a factor of 10. Turnover number and apparent quantum yield values showed similar dramatic increases over the other catalysts. Overall, the results clearly demonstrate that Pt@HNB NPPs represent a unique, intricate nanoarchitecture among state-of-the-art heterogeneous catalysts, offering obvious benefits as a new architectural pathway toward efficient, versatile, and scalable hydrogen energy production. Potential factors behind the Pt@HNB NPPs' superior performance are discussed below, as are the impacts of systematic variation of photolysis parameters and the use of a non-aqueous reductive quenching photosystem.