ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
An effective genetic algorithm for the resource levelling problem with generalised precedence relations

Resource levelling aims to obtain a feasible schedule to minimise the resource usage fluctuations during project execution. It is of crucial importance in project scheduling to ensure the effective use of scarce and expensive renewable resources, and has been successfully applied to production environments, such as make-to-order and engineering-to-order systems. In real-life projects, general temporal relationships are often needed to model complex time-dependencies among activities. We develop a novel genetic algorithm (GA) for the resource levelling problem with generalised precedence relations. Our design and implementation of GA features an efficient schedule generation scheme, built upon a new encoding mechanism that combines the random key representation and the shift vector representation. A two-pass local search-based improvement procedure is devised and integrated into the GA to enhance the algorithmic performance. Our GA is able to obtain near optimal solutions with less than 2% optimality gap for small instances in fractions of a second. It outperforms or is competitive with the state-of-the-art algorithms for large benchmark instances with size up to 1000 activities.
Efficient embedding and retrieval of information for high-resolution videos coded with HEVC

Steganography is the art of hiding information within a file. This work focuses on embedding such information in videos. In this scenario, it is critical to comply with the latest video standard, namely: the High Efficiency Video Coding (HEVC), which allows reducing the size of the file to be transmitted. In this paper we propose an HEVC-compliant method to hide and retrieve information in high-resolution videos. The procedure is based on modifying the luminance of certain blocks, not the HEVC encoder. Nevertheless, this must be carefully done, as the HEVC standard is a powerful attack in itself, since it compresses 50% the size of the video on average and the embedded information may disappear. Results show that it is possible to retrieve all the information while maintaining the quality of the video when using intra frames. Furthermore, the proposed flow has shown to be resilient to state-of-the-art steganalysis attacks. (C) 2019 Elsevier Ltd. All rights reserved.
Gut microbial ecology of Philippine gekkonids: ecoevolutionary effects on microbiome compositions

Given the rapidly changing landscapes of habitats across the globe, a sound understanding of host-associated microbial communities and the ecoevolutionary forces that shape them is needed to assess general organismal adaptability. Knowledge of the symbiotic endogenous microbiomes of most reptilian species worldwide remains limited. We sampled gut microbiomes of geckos spanning nine species and four genera in the Philippines to (i) provide baseline data on gut microbiota in these host species, (ii) test for significant associations between host phylogenetic relationships and observed microbial assemblages, potentially indicative of phylosymbiosis, and (iii) identify correlations between multiple ecoevolutionary factors (e.g. species identity, habitat tendencies, range extents, and maximum body sizes) and gut microbiomes in Philippine gekkonids. We recovered no significant association between interspecific host genetic distances and observed gut microbiomes, providing limited evidence for phylosymbiosis in this group. Philippine gekkonid microbiomes were associated most heavily with host species identity, though marked variation among conspecifics at distinct sampling sites indicates that host locality influences gut microbiomes as well. Interestingly, individuals grouped as widespread and microendemic regardless of host species identity displayed significant differences in alpha and beta diversity metrics examined, likely driven by differences in rare OTU presence between groups. These results provide much needed insight in host-associated microbiomes in wild reptiles and the ecoevolutionary forces that structure such communities.
Cobalt-Catalyzed Deaminative Amino- and Alkoxycarbonylation of Aryl Trialkylammonium Salts Promoted by Visible Light

Catalytic carbonylations of aryl electrophiles via C(sp2 )-N cleavage remains a significant challenge. Herein, we demonstrate an aminocarbonylation of aniline-derived trialkylammonium salts promoted by visible light with a simple cobalt catalyst. The reaction proceeds under mild conditions suitable for late-stage functionalization and is amenable to telescoped carbonylations directly from anilines. A range of alkylamines are successful partners, and alkoxycarbonylation is also demonstrated. Mechanistic studies and DFT calculations support a novel mechanism for catalytic carbonylations of aryl electrophiles involving a key visible light-induced carbonyl photodissociation.
Time-varying harmonics: Part II - Harmonic summation and propagation

This paper represents the second part of a two-part article reviewing the state of the art of probabilistic aspects of harmonics in electric power systems. It includes tools for calculating probabilities of rectangular and phasor components of individual as well as multiple harmonic sources. A procedure for determining the statistical distribution of voltages resulting from dispersed and random current sources is reviewed. Some applications of statistical representation of harmonics are also discussed.
Finding Stars From Fireworks: Improving Non-Cooperative Iris Tracking

We revisit the problem of iris tracking with RGB cameras, aiming to obtain iris contours from captured images of eyes. We find the reason that limits the performance of the state-of-the-art method in more general non-cooperative environments, which prohibits a wider adoption of this useful technique in practice. We believe that because the iris boundary could be inherently unclear and blocked, as its pixels occupy only an extremely limited percentage of those on the entire image of the eye, similar to the stars hidden in fireworks, we should not treat the boundary pixels as one class to conduct end-to-end recognition directly. Thus, we propose to learn features from iris and sclera regions first, and then leverage entropy to sketch the thin and sharp iris boundary pixels, where we can trace more precise parameterized iris contours. In this work, we also collect a new dataset by smartphone with 22 K images of eyes from video clips. We annotate a subset of 2 K images, so that label propagation can be applied to further enhance the system performance. Extensive experiments over both public and our own datasets show that our method outperforms the state-of-the-art method. The results also indicate that our method can improve the coarsely labeled data to enhance the iris contour's accuracy and support the downstream application better than the prior method.
Metal-Organic Framework-Derived Carbon as a Photoacoustic Modulator of Alzheimer's β-Amyloid Aggregate Structure

Photoacoustic materials emit acoustic waves into the surrounding by absorbing photon energy. In an aqueous environment, light-induced acoustic waves form cavitation bubbles by altering the localized pressure to trigger the phase transition of liquid water into vapor. In this study, we report photoacoustic dissociation of beta-amyloid (Aβ) aggregates, a hallmark of Alzheimer's disease, by metal-organic framework-derived carbon (MOFC). MOFC exhibits a near-infrared (NIR) light-responsive photoacoustic characteristic that possesses defect-rich and entangled graphitic layers that generate intense cavitation bubbles by absorbing tissue-penetrable NIR light. According to our video analysis, the photoacoustic cavitation by MOFC occurs within milliseconds in the water, which was controllable by NIR light dose. The photoacoustic cavitation successfully transforms robust, β-sheet-dominant neurotoxic Aβ aggregates into nontoxic debris by changing the asymmetric distribution of water molecules around the Aβ's amino acid residues. This work unveils the therapeutic potential of NIR-triggered photoacoustic cavitation as a modulator of the Aβ aggregate structure.
Australian pre-service primary teachers' knowledge, attitudes, and skills regarding stuttering

Purpose: Exploring Australian pre-service primary teachers' knowledge, attitudes, and classroom strategies regarding stuttering provides speech-language pathologists (SLPs) with information that can facilitate enhanced outcomes for school-aged children who stutter.Method: In this exploratory descriptive cross-sectional study, 51 final-year Bachelor of Education (Primary) students enrolled at an Australian university completed an online survey about stuttering.Result: Responses demonstrated positive and negative beliefs. Seventy-four per cent of pre-service teachers believed that stuttering has a psychological aetiology and that students who stutter are more likely to be shy or anxious. Participants agreed that their reactions and support offered would largely be based on their assumptions rather than knowledge.Conclusion: Pre-service primary teachers share similar misconceptions and unhelpful attitudes towards stuttering with previously evaluated populations. Implications for SLPs are discussed.
Photosensitisation and green egg yolks in laying hens caused by the feeding of ensiled alfalfa leaves

1. The present study was carried out to determine the effects of feeding ensiled alfalfa leaves (ALS) as an alternative protein source to laying hens under the terms of an organic diet. Due to the occurrence of unexpected negative health effects and undesirable egg yolk pigmentation in the test groups the trial was prematurely stopped and further analysis was conducted to evaluate the responsible substances.2. Body weights of the test groups decreased significantly already in week 2 of the trial. Performance variables dropped. Olive green pigmented egg yolks were found in groups fed diets containing ALS. Severe comb necrosis occurred in the experimental group receiving the highest level of ALS (20%) combined with the option of free-range access and therefore natural light exposure.3. The noxious agent found in ALS, blood serum and egg yolk was the photosensitising chlorophyll derivate pheophorbid a (PPBa), deriving from a strong depletion of chlorophyll contained in the alfalfa leaves. PPBa caused the olive-green pigmentation found in yolks and led to photosensitivity in groups with the highest level of ALS in the diet in combination with light exposure.4. By aiming for high protein and amino acid levels, harvesting and processing have, unintentionally and initially unnoticed, led to a strong accumulation of phototoxic PPBa. From these results it is strongly advised not to include ensiled alfalfa leaves as a protein source in organic laying hen diets.
LIGHT FORMS IN URBAN ENVIRONMENT

The paper proposes a method for generalizing and understanding the achievements of modern lighting design by means of classifying light forms and their main features are specified. The variety of types and complexity of light forms are due to avant-garde experiments in the art of the early and mid-20th century and is consistent with the successive change in artistic styles. Advances in computer technology and programming have made it possible to combine lighting elements, visual, colour and optical effects in one form. The new lighting techniques were developed for illuminating the architectural environment, various buildings, structures and forms in the spaces of world exhibitions. In this paper, the following light forms of the urban environment are investigated: projection mapping, light-graphic, light-painting and installation, sculptural, media surfaces and media facades, structural and vertical, energy-saving and virtual. The classification of light forms makes it possible to identify their structure and image, their correspondence to different eras in art, to predict the possibility of their transformation in the perspective of modern visual creativity.
Changes to food intake and nutrition of female red-tailed phascogales (Phascogale calura) during late lactation

Reproduction and especially lactation are nutritionally costly for mammals. Maternal access to adequate and optimal nutrients is essential for fecundity, survival of offspring, and offspring growth rates. In eutherian species energy requirements during lactation can be heavily dependent on litter size and the body mass of the female. In marsupials litter size does not appear to affect nutritional requirements during lactation; however, studies of marsupial nutritional requirements during lactation are rare. Marsupials are distinct from eutherians as they give birth to young at a much more underdeveloped state and the majority of their investment into the growth of their offspring occurs postnatally. Nutritional requirements of adult female red-tailed phascogales (Phascogale calura) were measured to determine the differences between those lactating and not lactating. On average females that were lactating had maintenance energy requirements of 1728 ± 195 kJ kg(-0.75) d(-1), double that of non-lactating animals. There was no significant correlation between energy requirements and litter size among lactating female phascogales. Apparent absorption of macronutrients did not differ between lactating and non-lactating individuals. The study has shown that food needs to be increased by at least double during late lactation. Litter size appears to have no influence on maternal nutrient requirements when food is available ad libitum and offspring in smaller litters grow faster than those in larger litters.
Advances in nanotechnology-based carrier systems for targeted delivery of bioactive drug molecules with special emphasis on immunotherapy in drug resistant tuberculosis - a critical review

From the early sixteenth and seventeenth centuries to the present day of life, tuberculosis (TB) still is a global health threat with some new emergence of resistance. This type of emergence poses a vital challenge to control TB cases across the world. Mortality and morbidity rates are high due to this new face of TB. The newer nanotechnology-based drug-delivery approaches involving micro-metric and nano-metric carriers are much needed at this stage. These delivery systems would provide more advantages over conventional systems of treatment by producing enhanced therapeutic efficacy, uniform distribution of drug molecule to the target site, sustained and controlled release of drug molecules and lesser side effects. The main aim to develop these novel drug-delivery systems is to improve the patient compliance and reduce therapy time. This article reviews and elaborates the new concepts and drug-delivery approaches for the treatment of TB involving solid-lipid particulate drug-delivery systems (solid-lipid micro- and nanoparticles, nanostructured lipid carriers), vesicular drug-delivery systems (liposomes, niosomes and liposphere), emulsion-based drug-delivery systems (micro and nanoemulsion) and some other novel drug-delivery systems for the effective treatment of tuberculosis and role of immunomodulators as an adjuvant therapy for management of MDR-TB and XDR-TB.
Fish species composition, diversity, and migration in the Mekong Delta: a study in the Cua Tieu River, Vietnam

Southern Vietnam, particularly the Mekong Delta, is popular in inland fish species diversity. In this study, fish species diversity across six stations from the estuary to the upstream of Cua Tieu River, which is situated in the Tien Giang province in Southern Vietnam, has been studied from January 2018 to June 2020. Altogether, 2088 specimens were collected and classified, and these belonged to 115 species, 98 genera, and 54 families of 15 orders that were recognized and identified. The names of species, genera, families, and orders are cited. In the total of 115 species, the Perch-like order (Perciformes) is the most diverse group, with 50 species (consist of 43.48% of total species). The catfish order (Siluriformes) is the second-most diverse group, consisting of 19 species (16.52% of total species). The carp order (Cypriniformes) consists of 8 species (6.96%), and the herring order (Clupeiformes) consists of 7 species (6.09%). Three orders of fishes, needle fish order (Beloniformes), Spiny eel order (Synbranchiformes), and flounder order (Pleuronectiformes), consist of 6 species (5.22%), and other orders consist of 1-3 species (0.87-2.61%). Among the 115 species recorded, 4 species were classified as vulnerable (VU) in the Red Data Book of Viet Nam (2007) (which is 3.48% of the total species collected). These are Elops saurus, Anodontostoma chacunda, Datnioides polota, and Toxotes chatareus. According to the IUCN Red list (2020), 1 species is endangered (EN) (0.87%), 1 species is vulnerable (VU) (0.87%), 3 species of fish are near threatened (NT) (2.61%), 6 species are data deficient (DD) (5.22%), and 58 species are least concern (LC) (50.43%). The result also recorded 41 fish as migratory species (26 freshwater species and 15 marine species), which is 35.65% of total species collected. Some migratory species are important and endemic species of the Mekong River, such as Bagarius yarrelli, Boesemania microlepis, Yasuhikotakia modesta, Cyclocheilos enoplos, Pangasianodon hypophthalmus, Pangasius conchophilus, Pangasius krempfi, Pangasius pleurotaenia, Phalacronotus bleekeri.
Fluvoxamine prompts the antitumor immune effect via inhibiting the PD-L1 expression on mice-burdened colon tumor

A colon tumor, one of the digestive tract malignant tumors, is harmful to human health. A potential new treatment still deserves attention. The development of a new drug needs more resources, including time and expense. Therefore, the old drug with new targets has become a current research hotspot. Fluvoxamine, as an antidepressant, could play an effect on inhibiting 5-hydroxytryptamine reuptake. In the present research, the antitumor effects and possible mechanisms of fluvoxamine are validated. The results showed that fluvoxamine significantly suppressed the migration and proliferation of tumor cells, and increased the apoptosis in vitro. Additionally, fluvoxamine significantly delays tumor development, and prompts the apoptosis in tumor tissues of mice-burdened colon tumors in vivo. The tumor suppression might be related with that fluvoxamine inhibits the expression of phosphorylated signal transducer and activator of transcription 3, matrix metalloproteinase 2, and cleaved-caspase 3. Importantly, fluvoxamine significantly reduces the expression level of programmed cell death ligand 1. This could be a possible reason that treatment with fluvoxamine drives the infiltration of T lymphocytes and M1-type macrophages in tumor tissues. Taken together, this research suggests that fluvoxamine might be a promising drug to treat colon cancer by inhibiting the proliferation and migration, inducing apoptosis, and even increasing the immune response of antitumor.
Image super-resolution via sparse representation over multiple learned dictionaries based on edge sharpness

A new algorithm for single-image super-resolution based on selective sparse representation over a set of coupled dictionary pairs is proposed. Patch sharpness measure for high- and low-resolution patch pairs defined via the magnitude of the gradient operator is shown to be approximately invariant to the patch resolution. This measure is employed in the training stage for clustering the training patch pairs and in the reconstruction stage for model selection. For each cluster, a pair of low- and high-resolution dictionaries is learned. In the reconstruction stage, the sharpness measure of a low-resolution patch is used to select the cluster it belongs to. The sparse coding coefficients of the patch over the selected low-resolution cluster dictionary are calculated. The underlying high-resolution patch is reconstructed by multiplying the high-resolution cluster dictionary with the calculated coefficients. The performance of the proposed algorithm is tested over a set of natural images. PSNR and SSIM results show that the proposed algorithm is competitive with the state-of-the-art super-resolution algorithms. In particular, it significantly out-performs the state-of-the-art algorithms for images with sharp edges and corners. Visual comparison results also support the quantitative results.
Weakly supervised codebook learning by iterative label propagation with graph quantization

Visual codebook serves as a fundamental component in many state-of-the-art visual search and object recognition systems. While most existing codebooks are built based solely on unsupervised patch quantization, there are few works exploited image labels to supervise its construction. The key challenge lies in the following: image labels are global, but patch supervision should be local. Such imbalanced supervision is beyond the scope of most existing supervised codebooks [9,10,12-15,29]. In this paper, we propose a weakly supervised codebook learning framework, which integrates image labels to supervise codebook building with two steps: the Label Propagation step propagates image labels into local patches by multiple instance learning and instance selection [20,21]. The Graph Quantization step integrates patch labels to build codebook using Mean Shift. Both steps are co-optimized in an Expectation Maximization framework: the E-phase selects the best patches that minimize the semantic distortions in quantization to propagate image labels; while the M-phase groups similar patches with related labels (modeled by WordNet [18]), which minimizes the visual distortions in quantization. In quantitative experiments, our codebook outperforms state-of-the-art unsupervised and supervised codebooks [1,10,11,25,29] using benchmark datasets. (C) 2012 Elsevier B.V. All rights reserved.
Competency-based medical education and the McNamara fallacy: Assessing the important or making the assessed important?

The McNamara fallacy refers to the tendency to focus on numbers, metrics, and quantifiable data while disregarding the meaningful qualitative aspects. The existence of such a fallacy in medical education is reviewed in this paper. Competency-based medical education (CBME) has been introduced in India with the goal of having Indian Medical Graduates competent in five different roles - Clinician, Communicator, Leader and member of the health care team, Professional, and Lifelong learner. If we only focus on numbers and structure to assess the competencies pertaining to these roles, we would be falling prey to the McNamara fallacy. To assess these roles in the real sense, we need to embrace the qualitative assessment methods and appreciate their value in competency-based education. This can be done by using various workplace-based assessments, choosing tools based on educational impact rather than psychometric properties, using narratives and descriptive evaluation, giving grades instead of marks, and improving the quality of the questions asked in various exams. There are challenges in adopting qualitative assessment starting with being able to move past the objective-subjective debate, to developing expertise in conducting and documenting such assessment, and adding the rigor of qualitative research methods to enhance its credibility. The perspective on assessment thus needs a paradigm shift - we need to assess the important rather than just making the assessed important; and this would be crucial for the success of the CBME curriculum.
TMP optimization using Multivariate analysis

A new thermo-mechanical pulp refiner installation was optimized for quality parameters. The mill was state of the art and, despite having the most modern process equipment, was not able to meet the quality requirements without undergoing a deliberate optimization effort. The quality improvement results were not obtained from a single solution but by incremental changes and methodical testing. A variety of techniques were used to achieve the results in a timely and cost-effective manner.