Helicobacter pylori: From Bench to Bedside by N Chiba, A Matisko, P Sinclair, ABR Thomson

“…For persons with known peptic ulcer disease there should be unequivocal acceptance that the good clinical practice of eradicating H pylori will result in substantial savings in health care expenses. The original 'classical triple therapy' (bismuth, metronidazole and tetracycline [BMT]) has now been surpassed by the combination of a proton pump inhibitor (PPI) plus two antibiotics (metronidazole plus clarithromycin; amoxicillin plus clarithromycin; or amoxicillin plus metronidazole), each given twice a day for one week. …”
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Temporal link prediction method based on community multi-features fusion and embedded representation by Yuhang ZHU, Lixin JI, Yingle LI, Haitao LI, Shuxin LIU

“…Dynamic networks integrates time attributes on the basis of static networks, and it contains multiple connotations such as the complexity and dynamics of the network structure.It is a better thinking object for studying complex network link prediction problems in the real world.Its high application value has attracted much attention in recent years.However, most of the research objects of traditional methods are still limited to static networks, and there are problems such as insufficient utilization of network time-domain evolution information and high time complexity.Combining sociological theory, a novel temporal link prediction method was proposed based on community multi-feature fusion embedding representation.The core idea of this method was to analyze the dynamic evolution characteristics of the network, learn the embedded representation vector of nodes within the community, and effectively fuse multiple features to measure the generation probability of the connection between nodes.The network was divided into several subgraphs by using community detection with collective influence weights and the Similarity index was proposed based on the collective influence.Then, the biased random walk and the Skip-gram were used to get the embedded vectors for every node and the Similarity index was proposed based on the random walk within the community.Integrating the collective influence, multiple central features of the community, and the representation vector learned within the community, the Similarity index was proposed based on the multi-features fusion.Compared with classical temporal link prediction methods, including moving average methods, embedded representation methods, and graph neural network methods, experimental results on six real data sets show that the proposed methods based on the random walk within the community and the multi-features fusion both achieve better prediction performance under the evaluation criteria of AUC.…”
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Political Meritocracy as Eastern Alternative to the Western Public Administration Traditions in the 21st Century by V. S. Gerasimov

“…Additionally the author traces the displays of the meritocratic principles within the views of the various representatives of the western political theory among which both classic (Plato, J.St. Mill) and contemporary (Brennan J., Caplan B.) thinkers are represented. …”
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Hydromagnetic Flow of Two Immiscible Couple Stress Fluids through Porous Medium in a Cylindrical Pipe with Slip Effect by Punnamchandar Bitla, Yitagesu Daba Kore

“…The flow is driven by a constant pressure gradient applied in a direction parallel to the cylinder’s axis, and an external uniform magnetic field is applied in the direction perpendicular to the direction of fluid motion. Instead of the classical no-slip condition, the slip velocity along with vanishing couple stress boundary conditions is taken on the surface of the rigid cylinder, and continuity conditions of velocity, vorticity, shear stress, and couple stress are imposed at the fluid-fluid interface. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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Transformation of Space Discourse: from Traditional Society to Postmodern Era by V. A. Shchipkov

“…The author examines each of these stages and describes mythological and holistic perception of space in archaic society, its further development and hierarchizing in the Antiquity, as well as transfer of the main features of the Classic model into the Medieval period. In addition, the paper examines the process of radical changes in the perception of space beginning in the Renaissance and under the impact of the long process of secularization and general demythologization referred to by the author as the Modernity era. …”
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Efektivitas konseling psikoanalisa menggunakan teknik interpretasi terhadap perkembangan moral siswa SMP by Siti Mahmudah Amrul Khoiriah, Ni Ketut Suarni, Nyoman Dantes

“…Based on prettest data where previously there were 10 students who had a high category, after receiving classical guidance treatment psychoanalysis counseling posttest data interpretation techniques showed very high category changes, it can be interpreted as the tendency of moral development of class VII students of the Quba Foundation after getting treatment has good skills. …”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. A classic train-test split method was applied, and the performance of different classifiers was evaluated using Receiver Operating Characteristic(ROC) analysis. …”
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Tunes that move us: the impact of music-induced emotions on prosocial decision-making by Hongwei Wu, Danni Wang, Linshu Zhou

“…This study investigates whether music and the emotions it induces can influence prosocial decision-making, utilizing the classical two-dimensional model of emotion (mood and arousal).MethodsIn Experiment 1,42 undergraduate students listened to happy music (positive, high arousal), sad music (negative, low arousal), and white noise while reading stories describing helping scenarios and then assessed their willingness to help. …”
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Classification of Severity of Lung Parenchyma Using Saliency and Discrete Cosine Transform Energy in Computed Tomography of Patients With COVID-19 by Santiago Tello-Mijares, Francisco Flores, Fomuy Woo

“…Five convolutional neural networks (CNNs) and five classic classification techniques, trained using FF and grayscale PP images, were tested. …”
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Change in hepatocyte nuclear-cytoplasmic ratio at nontuberculosis mycobacteria infection against the background of immunomodulator action by E. A. Kosobokov, T. S. Dudoladova

“…On day 30 after the start of the experiment, the animals were removed from the experiment, liver biopsy samples were collected and histologic specimens were prepared according to the classical method. During the experiment, it was found that KIM-M2 had a regenerative effect on the liver tissue of the guinea pigs infected with nontuberculosis mycobacteria, which was associated with 1.5-fold increase in the number of mononuclear hepatocytes, 3-fold increase in binuclear cells and 4.3-fold decrease in anucleate hepatocytes thus indicating the manifestation of compensatory reactions in the organ and increase in the depth of regenerative processes. …”
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Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…This model is trained on two datasets using Bayesian variational inference, comprising scores of Western classical and popular music, respectively, and containing harmonic annotations as well as heuristically determined note-type labels. …”
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A Novel Synthetic Minority Oversampling Technique for Multiclass Imbalance Problems by Jiao Wang, Norhashidah Awang

“…The proposed method is compared with classical and state-of-the-art oversampling methods. …”
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Evaluation of the Risk of Recurrence in Patients with Local Advanced Rectal Tumours by Different Radiomic Analysis Approaches by Alaa Khadidos, Adil Khadidos, Olfat M. Mirza, Tawfiq Hasanin, Wegayehu Enbeyle, Abdulsattar Abdullah Hamad

“…Using artificial intelligence, in particular, different machine learning techniques, is a necessary step for better data exploitation. Classically, researchers in this field of radiomics have used conventional machine learning techniques (random forest, for example). …”
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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

“…This paper aims to ease the development of Lagrangian relaxation algorithms for GIS practitioners by employing the automatic (sub)gradient (autograd) computation capabilities originally developed in modern Deep Learning. Using the classic <i>p</i>-median problem as an example, we demonstrate how Lagrangian relaxation can be developed with paper and pencil, and how the (sub)gradient computation derivation can be automated using autograd. …”
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Modeling and Simulation of Cultural Communication Based on Evolutionary Game Theory by Wenting Chen, Bopeng Jin

“…Based on the community network structure and the improved classic network communication model, this paper constructs the susceptible-infected-recovered (SIR) model for the grassroots communication of engineering safety culture and discusses the law of grassroots transmission of engineering safety culture. …”
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El Movimiento Bolivariano en Venezuela: ¿de vuelta al populismo? by Flávio da Silva Mendes

“…To that end, I concentrate on recent works by known authors and some classic texts that remain points of reference on the subject today.…”
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Travel Choice Behavior Model Based on Mental Accounting of Travel Time and Cost by Shixu Liu, Jianchao Zhu, Said M. Easa, Lidan Guo, Shuyu Wang, Haoyu Wang, Yijian Xu

“…For verification, the nonlinear correlation coefficient and hit rate are used to compare the proposed MA-TC model with the other two models: (1) the classical prospect theory with travel time and cost (PT-TC model) and (2) mental accounting based on the original hedonic editing criterion (MA-HE model). …”
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Seismic Fragility Assessment of RC Plan-Asymmetric Wall-Frame Structures Based on the Enhanced Damage Model by Ning Wang, Xiaoning Huang, Dan Zhang

“…Hence, it is challenging to assess the performance of plan-asymmetric structures. In this study, the classic probabilistic seismic fragility assessment method is used to assess RC plan-asymmetric wall-frame structures based on the enhanced damage model. …”
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The library of Troškūnai monastery by Arvydas Pacevičius

“…However, gifts and the need to maintain books for the Troškūnai gymnasium (a secondary school administered by the monks) were reasons why the library also collected scientific literature and classical antiquities. This book collection was predominantly in Latin and Polish, but towards the end of the 18th century, the share of West-European and Lithuanian languages began to increase. …”
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