Scrutiny on the grammatical error of descriptive text written by the first semester public health students Universitas Faletehan by Kety Soraya

“…It happened 475 (33.9%) followed by misformation and misordering, addition errors 190 (13.56%). There were various frequencies of errors found from each type. …”
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Surgical Quality in Rectal Cancer Management: What Can Be Achieved by a Voluntary Observational Study? by Łukasz Dziki, Ronny Otto, Hans Lippert, Paweł Mroczkowski, Olof Jannasch

“…Inclusion criteria for the study were participation for the entire period of 13 years and treatment of rectal cancer. The following parameters were analysed: (1) patient related: age, gender, ASA classification, T-stage, and N-stage, (2) system related: frequency of preoperative CT and MRI, and (3) outcome related: CRM status, complications, and hospital mortality. …”
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Inflammatory Choroidal Neovascular Membranes: Clinical Profile, Treatment Effectiveness, and Visual Prognosis by Gonçalo Carrola, Mário Lima-Fontes, Fernando Falcão-Reis, Luís Figueira, Ângela Carneiro

“…In addition, 13 eyes (65.00%) had a final VA equal to or greater than 65 letters. …”
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A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features by Ziyao Ma, Zhongliang Deng, Zidu Tian, Yingjian Zhang, Jizhou Wang, Jilong Guo

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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Preoperative Thrombocytopenia May Predict Poor Surgical Outcome after Extended Hepatectomy by Mohammad Golriz, Omid Ghamarnejad, Elias Khajeh, Mohammadsadegh Sabagh, Markus Mieth, Katrin Hoffmann, Alexis Ulrich, Thilo Hackert, Karl Heinz Weiss, Peter Schirmacher, Markus W. Büchler, Arianeb Mehrabi

“…Multivariate analysis revealed that the preoperative platelet count is an independent predictor of PHLF (odds ratio [OR] 4.4, 95% confidence interval [CI] 1.3–15.0, p=0.020) and 30-day mortality (OR 4.4, 95% CI 1.1–18.8, p=0.043). …”
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Expression Analysis and Functional Validation of DcTPSb1 in Terpene Synthesis of <i>Dendrobium chrysotoxum</i> by Yuxuan Jin, Shuting Zhou, Zhihui Du, Weize Wang, Zhilin Chen

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Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Annelli Sandbæk, Else-Marie Dalsgaard, Kasper Norman, Lasse Bjerg, Anders Aasted Isaksen

“…The aim is to establish an extensive resource for (1) gaining knowledge on patient-related topics and experiences that are not measured objectively at clinical health examinations and (2) long-term follow-up studies of inequality in diabetes and diabetes-related complications.Participants A total of 1.3 million inhabitants reside in the Central Denmark Region. …”
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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer’s Disease MRI Data by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

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An Improved Method for Human Activity Detection with High-Resolution Images by Fusing Pooling Enhancement and Multi-Task Learning by Haoji Li, Shilong Ren, Lei Fang, Jinyue Chen, Xinfeng Wang, Guoqiang Wang, Qingzhu Zhang, Qiao Wang

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Analysis of the Particle Characteristics of Aeolian Sand in Yulin Area, China by Qinglong You, Zhang Yang, Jinglian Ma, Xili Yan, Taiwo Sesay, Haifeng Wang, Zhou Liang

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Application of Light-Responsive Nanomaterials in Bone Tissue Engineering by Aiguo Liu, Chenxu Wang, Shuang Deng, Sitong Zhang, Ziwen Zhao, Han Xiao, Ting Ying, Chengqing Yi, Dejian Li

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Comparing the Rates of Further Resection After Intraoperative MRI Visualisation of Residual Tumour Between Brain Tumour Subtypes: A 17-Year Single-Centre Experience by Daniel Madani, R. Dineth Fonseka, Sihyong Jake Kim, Patrick Tang, Krishna Muralidharan, Nicholas Chang, Johnny Wong

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Partial Attention in Global Context and Local Interaction for Addressing Noisy Labels and Weighted Redundancies on Medical Images by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

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Searching for the Ideal Recipe for Preparing Synthetic Data in the Multi-Object Detection Problem by Michał Staniszewski, Aleksander Kempski, Michał Marczyk, Marek Socha, Paweł Foszner, Mateusz Cebula, Agnieszka Labus, Michał Cogiel, Dominik Golba

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Assessing the authenticity and purity of a commercial Bacillus thuringiensis bioinsecticide through whole genome sequencing and metagenomics approaches by Yari Van Laere, Yari Van Laere, Marie-Alice Fraiture, Andrea Gobbo, Sigrid C. J. De Keersmaecker, Kathleen Marchal, Kathleen Marchal, Nancy H. C. Roosens, Kevin Vanneste

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Exploration of Heart Rate Recovery After Maximal Treadmill and Three-Minute All-Out Shuttle Tests in Firefighters by Benjamin J. Mendelson, Kyle T. Ebersole, Scott D. Brau, Nathan T. Ebersole

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Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District by Monica Zanini, Uta Heiden, Leonardo Pace, Raffaele Casa, Simone Priori

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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

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Customized 3D Allogenic Bone Blocks for Mandibular Buccal-Bone Reconstruction Increase Resistance to Tongue-Protrusion Forces: A Finite Element Analysis by Sebastian Dominiak, Jennifer Majer, Christoph Bourauel, Ludger Keilig, Tomasz Gedrange

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