Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…Most likely all the patients who received wrong diagnosis and low-quality treatment die early. …”
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Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation by Demian Wassermann, Maxime Descoteaux, Rachid Deriche

“…On more complex data with crossings, we show that our ODF-based method succeeds to separate fiber bundles and crossing regions whereas the DT-based methods generate artifacts and exhibit wrong number of clusters. Finally, we show results on a real-brain dataset where we segment well-known fiber bundles.…”
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Flood Analysis with HEC-RAS: A Case Study of Tigris River by Selman Ogras, Fevzi Onen

“…But floods are becoming more risky for human beings day by day because of the population growth, need of water and settlements, wrong zoning plan, and unplanned engineering practices. …”
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Risk assessment of look‒alike, sound‒alike (LASA) medication errors in an Italian hospital pharmacy: A model based on the ‘Failure Mode and Effect Analysis’ by Nestor Ciociano, Lucilla Grisi, Lucia Bagnasco, Maria Giovanna Elberti, Marcello Mazzarella

“…The highest ranked failure modes, with an RPN score of 48 pertained to wrong drug dosage selection. Some of the critical failure modes in sample processing (phases n.1, 2, 3, and 4) were improved by 69.7% in the RPN by focusing on automated technology systems. …”
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KING'S ENGLISH AND THE ARISTOCRATIC CODE OF COMMUNICATION IN MODERN BRITAIN by T. A. Ivushkina

“…The errors in the press, such as confusion of words similar in a sound form or spelling, the use of foreign words in the wrong meanings, distortions of names, etc. testify to the deterioration of education at some universities of Great Britain. …”
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A mixed methods exploration of self-presentation, authenticity, and role model function on Instagram: perspectives from female influencers in Germany by Daniel Zimmermann, Colleen Schneider, Kai Kaspar

“…Fear of negative feedback, absence of positivity and motivation, wrong cooperation partners (30.8% each) and insecurity (23.1%), among others, may lead to a less authentic self-presentation and use of picture editing. …”
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Assessment of Coverage and Quality of Selected Clinical Chemistry Tests among Medical Laboratories of Health Facilities in Jimma Zone, South West Ethiopia by Aklilu Getachew, Waqtola Cheneke, Yaregal Asres, Shiferaw Bekele, Estifanos Kebede

“…According to this study the availability of clinical chemistry test service was very minimal and facilities giving the service do not fulfill the minimum standard for quality; thus clients were either getting wrong clinical decision or misdiagnosed. Therefore, the external and internal quality assessment programs should be reviewed very well. …”
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Loosened hip joint prosthesis-decision options by Byser Bonchev, Tsvetoslav Yordanov, Luben Stokov, Teodor Ivanov, Georgi Georgiev, Luben Lubenov Stokov, Kristian Nastev

“… - Hip joint prosthesis (luxation) because of trauma or extremely wrong motion we notice in 5 patients. In one of them we revealed acetabular cup malposition…”
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Acceptability of artificial intelligence in breast screening: focus groups with the screening-eligible population in England by Jo Waller, Rumana Newlands, Lauren Gatting, Angie A Kehagia, Syeda Ahmed, Priscilla Meccheri

“…Data were analysed using a reflexive thematic analysis.Results Four themes described public perceptions of AI in breast screening found in this study: (1) Things going wrong and being missed summarises a predominant and pervasive concern about an AI tool being used in breast screening; (2) Speed of change and loss of control captures a positive association of AI with technological advances held by the women but also feelings of things being out of their control, and that they were being left behind and in the dark; (3) The importance of humans reports concern around the possibility that AI excludes humans and renders them redundant and (4) Desire for thorough research, staggered implementation and double-checking of scans included insistence that any AI be thoroughly trialled, tested and not solely relied on when initially implemented.Conclusions It will be essential that future decision-making and communication about AI implementation in breast screening (and, likely, in healthcare more widely) address concerns surrounding (1) the fallibility of AI, (2) lack of inclusion, control and transparency in relation to healthcare and technology decisions and (3) humans being left redundant and unneeded, while building on women’s hopes for the technology.…”
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Using informative priors to account for identifiability issues in occupancy models with identification errors by Monchy, Célian, Etienne, Marie-Pierre, Gimenez, Olivier

“…While both processes are prone to error in general, wrong identifications are often considered as negligible with in situ observations. …”
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Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection by Istiak Mahmud, Md. Mohsin Kabir, Jungpil Shin, Chayan Mistry, Yoichi Tomioka, M. F. Mridha

“…To eliminate this kind of wrong detection, we detected the train line first and then detected the objects on the detected train line. …”
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Model Pengambilan Keputusan Pemilihan Bibit Unggul Sapi Bali Menggunakan Metode Weighted Product by Dyna Marisa Khairina, Indra Cahya Pramukti, Heliza Rahmania Hatta, Septya Maharani

“…If it is not organized accurately, then the selection of superior seeds on the wrong bali cows often lead to various problems. Decision-making models can be used to help humans, especially cattle ranchers in making decisions. …”
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Effect of Nutrition Education Based on Health Belief Model on Nutritional Knowledge and Dietary Practice of Pregnant Women in Dessie Town, Northeast Ethiopia: A Cluster Randomized... by Tona Zema Diddana, Gezahegn Nigusse Kelkay, Amanuel Nana Dola, Abinet Arega Sadore

“…Limited nutritional knowledge and wrong perception towards dietary behaviours were underlying factors. …”
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Conceptual Transformations of Public Diplomacy by M. M. Lebedeva

“…The article shows that association of these activities with public diplomacy is wrong both in theoretical and practical terms, since it does not allow choosing the appropriate tools of influence for a specific situation. …”
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DE-COLONIZING POLITICAL BOUNDARIES IN CENTRAL ASIA by N. T. Nurulla-Khodzhaeva

“…This “rhythm” continues to make the region more open to each other and to the world, transforming it into a “field” located on beyond good, evil, right or wrong. The region is where the diversity meets.…”
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Assessing the Cognitive Sign Features and Guessability of Laboratory Safety Signs for Pharmacy Students by Hajiomid Kalteh, Aghigh Salarian, Solale Ramzani, Jamshid Yazdani Cherati, Siavash Etemadinezhad

“…The guessability score was measured by a five-choice answering method, where there were correct, partly correct, and wrong answers. Cognitive sign features (familiarity, concreteness, simplicity, meaningfulness, and semantic closeness) rated from 0 to 100. …”
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Prevalence of Obstetric Danger Signs during Pregnancy and Associated Factors among Mothers in Shashemene Rural District, South Ethiopia by Nega Terefe, Aderajew Nigussie, Afework Tadele

“…Obstetric danger signs are those signs that a pregnant woman will see or those symptoms that she will feel which indicate that something is going wrong with her or with the pregnancy. Evidence on the prevalence of obstetric danger signs and contributing factors were crucial in designing programs in the global target of reducing maternal morbidity and mortality. …”
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Analisis Kesiapan Kerja Mahasiwa di Era Revolusi Industri 4.0 Menggunakan Soft - System Methodology by Anthony Anthony, Eko Sediyono, Ade Iriani

“…Many students are found studying in the major that is not suitable with their interest and talent, take the wrong major, or don’t have sufficient basic knowledge. …”
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Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models by Lu Li, Huub Hoefsloot, Barbara M. Bakker, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar

“…We also demonstrated the advantages of such a joint analysis approach in the presence of incomplete measurements and its limitations in the presence of wrong prior information. <b>Conclusions</b>: The joint analysis of real measurements and simulated data (generated using a mechanistic model) through coupled tensor factorizations guides real data analysis with prior information encapsulated in mechanistic models and reveals interpretable patterns.…”
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