ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
The Association between Assisted Reproduction Technology (ART) and Social Perception of Childbearing Deadline Ages: A Cross-Country Examination of Selected EU Countries

The advancement of assisted reproductive technologies (ART) has gained much attention in relation to childbearing postponement. Our study's purpose was to empirically examine how perceptions of childbearing deadline age vary in association with availability and prevalence of ART across different countries. The present study used data from the 2006 European Social Survey and the 2006 European Society of Human Reproduction and Embryology to examine selected EU countries. A total sample of 17,487 respondents was examined. Multilevel regression modeling was used. Results showed that first, younger generations were more generous with maternal childbearing ages but stricter with paternal deadline ages. Second, respondents residing in countries with higher percentage of reproductive clinics per population were more generous with maternal ages, however no significant association was observed with regard to paternal childbearing ages. Third, on the contrary, respondents residing in countries with higher utilization of ART treatments were stricter with maternal ages, which may be because they are more likely to be aware of the physiological and financial difficulties associated with ART treatments. The present study is meaningful in that it is the first study to empirically examine social perceptions of childbearing ages in relation with ART.
Prediction of banana maturity based on the sweetness and color values of different segments during ripening

To predict the maturity of bananas, the present study used non-destructive methods to analyze changes in the sweetness and color of the stalks, middles, and tips of bananas during ripening. The results indicated that the respective maturation of these three segments did not occur simultaneously, as indicated by the differential enzyme activity and gene expression levels recorded in these segments. A principal component analysis and cluster plots were used to review the classification of banana maturity, highlighting that banana maturation can be divided into six stages. Two distinct maturity prediction algorithms were established using random forest, artificial neural network, and support vector machines, and they also indicated that dividing the maturity of bananas into six stages was adequate. These findings contribute to the development of quality evaluation and of a rapid grading system for processing, which improves the quality and sale of banana fruits and the related processed products.
Experimental Study of Diamond-like Carbon Film on Aermet100 Steel and First-Principles Calculation of Interfacial Adhesion

Three different types of surface-modified layers of N, C, and N+C are successfully prepared on AerMet100 steel by plasma-assisted thermochemical treatment, and diamond-like carbon (DLC) films are formed on the top surfaces of the latter two. The results show that the DLC films produced by prenitriding and then carburizing (N+C) exhibit a smoother and finer morphology and higher sp3 content than that without prenitriding (C). In addition, the wear resistance of the N+C specimen with a high hardness nitrided layer as the support for the outermost DLC films is superior to that of the C specimen. In view of the catalytic effect of the Fe3C phase on the growth of DLC films, the interfacial properties of Fe3C(001)/diamond(111) are investigated using first-principles calculations. On the basis of the most preferred Fe-terminated HCP site model, the effects of alloyed cementite (Fe2MC) on interfacial adhesion of Fe2MC(001)/diamond(111) are also investigated. Furthermore, the mechanisms of interfacial adhesion for two representative dopings (Zr weakened and V enhanced) are revealed in detail. These results are expected to provide a potential promising means for future experimental works on the preparation of high-performance DLC films on alloy steel surfaces by plasma carburizing.
Disability Among Older Adults in South-Eastern Nigeria

Disability is a common reason for the loss of independence. There is a dearth of data on older adults with disability in south-eastern Nigeria. Using a multistage sampling technique and disability indexes, we assessed 816 persons aged 65 years and above living with a disability. While respondents' experiences of abuse and property inheritance differ by gender, they have poor health status. Elevated risks of disability were associated with gender, increased age, education, smoking, alcohol use, and engagement in physical exercise. Findings suggest urgency in formulating and implementing ageing welfare policy in this African community undergoing demographic and social changes. While this is underway, we recommend a massive health promotion among older adults in this community. We also suggest the integration of courses on ageing in schools' curriculum since ageing is a life course phenomenon. This in the long run would provide ageing-friendly education that averts old age's deleterious effects.
A semantic-mediation architecture for interoperable supply-chain applications

This paper presents a semantic-mediation architecture that enables standards-based interoperability between heterogeneous supply-chain applications. The architecture was implemented using a state-of-the-art semantic-mediation toolset for design-time and run-time integration tasks. The design-time tools supported a domain ontology definition, message annotations, message schema transformations and reconciliation rules specifications. The run-time tools performed exchanges, transformations, and reconciliations of the messages. The architecture supports a supply-chain integration scenario where heterogeneous automotive manufacturing supply-chain applications exchange inventory information.
Circular regional mean completed local binary pattern for texture classification

The local binary pattern (LBP) is a simple yet efficient texture operator, and the completed local binary pattern (CLBP) is a completed modeling for LBP that has been adopted in many texture classification methods. However, existing CLBP operators are sensitive to noise and they cannot extract the regional structure information efficiently. To overcome these disadvantages, we propose a circular regional mean completed local binary pattern (CRMCLBP) by introducing a circular regional mean operator to modify the traditional CLBP. We also present two encoding schemes for CRMCLBP. The proposed CRMCLBP not only achieves rotation invariance and completed representation capability but also has high robustness to image noise. In order to evaluate the performance, we compare the CRMCLBP with recent state-of-the-art methods by extensive experiments on two popular texture databases including Outex database and Columbia-Utrecht reflection and texture database. Excellent experimental results demonstrate that the proposed CRMCLBP is comparable with recent state-of-the-art texture descriptors and superior to other approaches for robustness. (C) 2018 SPIE and IS&T
Identifying the origins of obsidian artifacts in the Deh Luran Plain (Southwestern Iran) highlights community connections in the Neolithic Zagros

Exchange networks created by Neolithic pastoral transhumance have been central to explaining the distant transport of obsidian since chemical analysis was first used to attribute Near Eastern artifacts to their volcanic origins in the 1960s. Since then, critical reassessments of floral, faunal, and chronological data have upended long-held interpretations regarding the emergence of food production and have demonstrated that far-traveled, nomadic pastoralists were more myth than reality, at least during the Neolithic. Despite debates regarding their proposed conveyance mechanisms, obsidian artifacts' transport has received relatively little attention compared with zooarchaeological and archaeobotanical lines of investigation. The rise of nondestructive and portable instruments permits entire obsidian assemblages to be traced to their sources, renewing their significance in elucidating connections among early pastoral and agricultural communities. Here we share our findings about the obsidian artifacts excavated from the sites of Ali Kosh and Chagha Sefid in the southern Zagros. In the 1960s and 1970s, 28 obsidian artifacts from the sites were destructively tested, and the remainder were sorted by color. Our results emphasize a dynamic, accelerating connectivity among the Early and Late Neolithic communities. Here we propose and support an alternative model for obsidian distribution among more settled communities. In brief, diversity in the obsidian assemblage accelerated diachronically, an invisible trend in the earlier studies. Our model of increasing population densities is supported by archaeological data and computational simulations, offering insights regarding the Neolithic Demographic Transition in the Zagros, an equivalent of which is commonly thought to have occurred around the world.
Nonnegative matrix factorization algorithms for link prediction in temporal networks using graph communicability

Networks derived from many disciplines, such as social relations, web contents, and cancer progression, are temporal and incomplete. Link prediction in temporal networks is of theoretical interest and practical significance because spurious links are critical for investigating evolving mechanisms. In this study, we address the temporal link prediction problem in networks, i.e. predicting links at time T + 1 based on a given temporal network from time 1 to T. To address the relationships among matrix decomposition based algorithms, we prove the equivalence between the eigendecomposition and nonnegative matrix factorization (NMF) algorithms, which serves as the theoretical foundation for designing NMF-based algorithms for temporal link prediction. A novel NMF-based algorithm is proposed based on such equivalence. The algorithm factorizes each network to obtain features using graph communicability, and then collapses the feature matrices to predict temporal links. Compared with state-of-the-art methods, the proposed algorithm exhibits significantly improved accuracy by avoiding the collapse of temporal networks. Experimental results of a number of artificial and real temporal networks illustrate that the proposed method is not only more accurate but also more robust than state-of-the-art approaches. (C) 2017 Elsevier Ltd. All rights reserved.
Revision of cytogenetic dosimetry in the IAEA manual 2011 based on data about radio-sensitivity and dose-rate findings contributing

In order to achieve the goal of rapid response, effective controland protection of life inlarge-scale radiation events, the IAEA Manual 2011 has been revised based on the data of radio-sensitivity, dose-rate findings. Analyze individual differences in radiation sensitivity using 60 Co radiation (0.27 Gy/min). Chromosomal aberrations with different irradiation dose rates were used to establish the biological dose curve and analyze the excess of the "dicentric + ring" caused by the dose rate at each dose point; DAPI-images and Metafer 4 were used to capture metaphase images and make further analysis. The data were collected in 2020, Dicentric + ring/100 Cells was 17.5-43.8, the average value was28.32 ± 6.98. The mean value of Dicentric + ring/100 Cells was 31.37 in males while 25.27 in females, there are significant differences (p < .01). The irradiation dose is dominant, At each dose point, the value of"(dicentric chromosome + centric rings)/cell" is proportional to "dose rate", that is, Y = kx + b, within the dose range of 1-5 Gy, "(dicentric chromosome + centric rings)/Cell" holds a quadratic linear relationship with dose rate, that is, y = ax2 + bx + c; The DAPI-images might give you more hints than those of conventional Giemsa-stain. The authors recommend that the IAEA Manual 2011 could be revised based on data of radio-sensitivity and dose-rate, which may contribute to the establishment of a unified dose-response calibration curve and stimulation of potential for automation in cytogenetic biodosimetry. (1) Individual differences of radiosensitivity are very large. (2) At each dose point, "(dicentric chromosome + centric rings)/cell" is proportional to "dose rate", that is, Y = kx + b. (3) "(dicentric chromosome + centric rings)/Cell" is a quadratic linear relationship with dose rate, that is, y = ax2 + bx + c. (4) We created a "Unity Standard Curve of Biological Dose Estimation". Creating a Unity Standard Curve of Biological Dose, under these circumstances, we can form a joint and rapid response to a nuclear and radiological accident.
Modern possibilities of neurosurgical treatment of brain metastases

Despite significant progress in neuroimaging and introduction of new combined treatments for solid tumors, brain metastases are still adverse factor for overall survival. Brain metastases are diagnosed in 8-10% of patients and associated with extremely poor prognosis. These lesions result focal and general cerebral symptoms. Literature review highlights the current principles of surgical treatment of metastatic brain lesions in patients with solid tumors.
Superpixel-based object boundary gimmicking using optimized conditional random fields with random associations

Superpixel-based clustering approach gains attention as an efficient pre-processing step for image segmentation during the last decade. In general, color similarity and position of the pixels are used as similarity metrics for segmentation. In this proposed work, a two-level object segmentation framework is proposed, where the mid-level cues are meritoriously utilized for efficient object segmentation. In the first level, a superpixel-based object boundary gimmicking algorithm with improved distance measure is used to gimmick the cluster boundaries. To make the picture visualization as human vision friendly, the regular clusters are decomposed literally only at the required places to adhere with object boundaries. Spurious Clusters are identified and merged to remove the noisy superpixels. As a post-processing step, superpixel-based optimized conditional random field (CRF) with random association (SOCRA) algorithm is proposed for efficient segmentation. Here homogeneity of the superpixel is imposed by optimized CRF to augment the object clusters with random associations. CRFs are employed for its excellent capability to characterize the relationship among the random variables. Extensive performance evaluation shows the proposed boundary gimmicking approach significantly competes with the state-of-the-art methods. Results obtained with Berkeley segmentation dataset (BSDS300) are compared with state-of-the-art methods in terms of under segmentation error, boundary recall, and achievable segmentation accuracy.
Changes in MCP-1, HGF, and IGF-1 expression in endometrial stromal cells, PBMCs, and PFMCs of endometriotic women following 1,25(OH)2D3 treatment

1,25(OH)2D3 has anti-inflammatory and growth inhibitory effects. Our study explored the effect of 1,25(OH)2D3 treatment on the expression of monocyte chemotactic protein-1 (MCP-1), hepatocyte growth factor (HGF), and insulin-like growth factor-1 (IGF-1) by peripheral blood mononuclear cells (PBMCs), peritoneal fluid mononuclear cells (PFMCs), endometrial stromal cells (ESCs), and its effect on the proliferation of PBMCs and PFMCs of patients with endometriosis compared with controls. PBMCs, PFMCs, and ESCs were obtained from 10 endometriosis patients and 10 non-endometriotic individuals. After treating cells with 0.1 μM of 1,25(OH)2D3 for 6, 24, and 48 h, the gene and protein expression of mentioned factors were evaluated by real-time PCR and ELISA methods, respectively. 1,25(OH)2D3 treatment significantly reduced the protein expression of MCP-1, HGF, and IGF-1 in PBMCs and PFMCs of endometriotic patients at 48 h (p &lt; 0.05-&lt;0.01). Also, this treatment significantly reduced MCP-1, HGF, and IGF-1 gene and/or protein expression in EESCs and EuESCs at 24 and 48 h (p &lt; 0.05-&lt;0.01). 1,25(OH)2D3 treatment also reduced the proliferation of PBMCs and PFMCs of endometriotic patients compared with controls (p &lt; 0.01). 1,25(OH)2D3 can be considered as a potentially effective agent in the prevention and treatment of endometriosis along with other therapies.
In silico structural inhibition of ACE-2 binding site of SARS-CoV-2 and SARS-CoV-2 omicron spike protein by lectin antiviral dyad system to treat COVID-19

Spike glycoprotein of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) binds angiotensin-converting enzyme-2 (ACE-2) receptors via its receptor-binding domain (RBD) and mediates virus-to-host cell fusion. Recently emerged omicron variant of SARS-CoV-2 possesses around 30 mutations in spike protein where N501Y tremendously increases viral infectivity and transmission. Lectins interact with glycoproteins and mediate innate immunity displaying antiviral, antibacterial, and anticarcinogenic properties. In this study, we analyzed the potential of lectin, and lectin-antibody (spike-specific) complex to inhibit the ACE-2 binding site of wild and N501Y mutated spike protein by utilizing in silico molecular docking and simulation approach. Docking of lectin at reported ACE-2 binding spike-RBD residues displayed the ZDock scores of 1907 for wild and 1750 for N501Y mutated spike-RBD. Binding of lectin with antibody to form proposed dyad complex gave ZDock score of 1174 revealing stable binding. Docking of dyad complex with wild and N501Y mutated spike-RBD, at lectin and antibody individually, showed high efficiency binding hence, effective structural inhibition of spike-RBD. MD simulation of 100 ns of each complex proved high stability of complexes with RMSD values ranging from 0.2 to 1.5 nm. Consistent interactions of lead ACE-2 binding spike residues with lectin during simulation disclosed efficient structural inhibition by lectin against formation of spike RBD-ACE-2 complex. Hence, lectins along with their ability to induce innate immunity against spike glycoprotein can structurally inhibit the spike-RBD when given as lectin-antibody dyad system and thus can be developed into a dual effect treatment against COVID-19. Moreover, the high binding specificity of this system with spike-RBD can be exploited for development of diagnostic and drug-delivery systems.
A quick eye to anger: An investigation of a differential effect of facial features in detecting angry and happy expressions

Detection of angry and happy faces is generally found to be easier and faster than that of faces expressing emotions other than anger or happiness. This can be explained by the threatening account and the feature account. Few empirical studies have explored the interaction between these two accounts which are seemingly, but not necessarily, mutually exclusive. The present studies hypothesised that prominent facial features are important in facilitating the detection process of both angry and happy expressions; yet the detection of happy faces was more facilitated by the prominent features than angry faces. Results confirmed the hypotheses and indicated that participants reacted faster to the emotional expressions with prominent features (in Study 1) and the detection of happy faces was more facilitated by the prominent feature than angry faces (in Study 2). The findings are compatible with evolutionary speculation which suggests that the angry expression is an alarming signal of potential threats to survival. Compared to the angry faces, the happy faces need more salient physical features to obtain a similar level of processing efficiency.
Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection

As one of the most important tasks in intelligent video analysis, video abnormal event detection has been extensively studied. Prior arts have made a great process in designing frameworks to capture spatio-temporal features of video frames. However, video frames usually consist of various objects. It is challenging to grasp the nuances of anomalies against noisy backgrounds. To tackle the bottleneck, we propose a novel Foreground-Background Separation Mutual Generative Adversarial Network (FSM-GAN) framework. The FSMGAN permits the separation of video frames into the foreground and background. The separated foreground and background are utilized as the input of mutual generative adversarial networks, which transform raw pixel images in optical-flow representations and vice versa. In the networks, the background is regarded as known conditions and the model focuses on learning the high-level spatio-temporal foreground features to represent the event with the given conditions during the mutual adversarial training. In the test stage, these high-level features instead of low-level visual primitives are utilized to measure the abnormality in the semantic level. Compared with state-of-the-art methods and other abnormal event detection approaches, the proposed framework demonstrates its effectiveness and reliability across various scenes and events.
Our Tradition Our Enemy: A Qualitative Study of Barriers to Women's HIV Care in Jimma, Southwest Ethiopia

Evidence exists that suggests that women are vulnerable to negative HIV treatment outcomes worldwide. This study explored barriers to treatment outcomes of women in Jimma, Southwest Ethiopia. We interviewed 11 HIV patients, 9 health workers, 10 community advocates and 5 HIV program managers from 10 institutions using an in-depth interview guide designed to probe barriers to HIV care at individual, community, healthcare provider, and government policy levels. To systematically analyze the data, we applied a thematic framework analysis using NVivo. In total, 35 participants were involved in the study and provided the following interrelated barriers: (i) Availability-most women living in rural areas who accessed HIV cared less often than men; (ii) free antiretroviral therapy (ART) is expensive-most women who have low income and who live in urban areas sold ART drugs illegally to cover ART associated costs; (iii) fear of being seen by others-negative consequences of HIV related stigma was higher in women than men; (iv) the role of tradition-the dominance of patriarchy was found to be the primary barrier to women's HIV care and treatment outcomes. In conclusion, barriers related to culture or tradition constrain women's access to HIV care. Therefore, policies and strategies should focus on these contextual constrains.
Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform

Martial arts is a traditional sports event of the Chinese nation, which carries history and culture. With the development of "Martial Arts on Campus Activities" in recent years, more and more schools have opened general martial arts courses. However, due to the more complex technical movements of martial arts, there are often varying degrees of gaps between the movements and standard movements. Based on this, this research introduces three-dimensional imaging technology on the basis of traditional physical education teaching methods, aiming to explore new martial arts teaching models through image reconstruction and posture analysis. First of all, in order to obtain a three-dimensional point cloud and three-dimensional line, this paper extracts and matches feature points and feature lines on the input image. Secondly, on the basis of obtaining dense matching and straight-line matching, this paper selects the image with the most feature line matching for reprojection. Wavelet transform is used in the process of image compression and coding, including signal decomposition and reconstruction steps. Finally, through the experimental test of martial arts teaching posture images in colleges and universities, it shows that the method of combining three-dimensional image reconstruction and wavelet transform proposed in this paper has good applicability and efficiency, and can provide a scientific reference for college martial arts teaching.