Twitter dataset on public sentiments towards biodiversity policy in Indonesia by Mohammad Teduh Uliniansyah, Indra Budi, Elvira Nurfadhilah, Dian Isnaeni Nurul Afra, Agung Santosa, Andi Djalal Latief, Asril Jarin, Gunarso, Meganingrum Arista Jiwanggi, Nuraisa Novia Hidayati, Radhiyatul Fajri, Ryan Randy Suryono, Siska Pebiana, Siti Shaleha, Tosan Wiar Ramdhani, Tri Sampurno

“…The final label was determined using the majority voting method. The tweets with the final label none and those with undecided sentiment class were considered invalid and excluded in the subsequent process. …”
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Association of Retrospective Peer Review and Positive Predictive Value of Magnetic Resonance Imaging-Guided Vacuum-Assisted Needle Biopsies of Breast by Ceren Yalnız, Juliana Rosenblat, David Spak, Wei Wei, Marion Scoggins, Carisa Le-Petross, Mark J Dryden, Beatriz Adrada, Başak E. Doğan

“…During this weekly conferences, breast dynamic contrastenhanced magnetic resonance imaging findings of 6 anonymized cases were discussed and then the faculty voted on whether they agree with the biopsy indication, accurate sampling and radiology-pathology correlation. …”
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Recommendations for the management of MPS VI: systematic evidence- and consensus-based guidance by Mehmet Umut Akyol, Tord D. Alden, Hernan Amartino, Jane Ashworth, Kumar Belani, Kenneth I. Berger, Andrea Borgo, Elizabeth Braunlin, Yoshikatsu Eto, Jeffrey I. Gold, Andrea Jester, Simon A. Jones, Cengiz Karsli, William Mackenzie, Diane Ruschel Marinho, Andrew McFadyen, Jim McGill, John J. Mitchell, Joseph Muenzer, Torayuki Okuyama, Paul J. Orchard, Bob Stevens, Sophie Thomas, Robert Walker, Robert Wynn, Roberto Giugliani, Paul Harmatz, Christian Hendriksz, Maurizio Scarpa, MPS Consensus Programme Steering Committee, MPS Consensus Programme Co-Chairs

“…Consensus was reached on all statements after two rounds of voting. The greatest challenges faced by patients as relayed by consultation with PAGs were deficits in endurance, dexterity, hearing, vision and respiratory function. …”
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Artificial Intelligence in the Diagnosis of Colorectal Cancer: A Literature Review by Petar Uchikov, Usman Khalid, Krasimir Kraev, Bozhidar Hristov, Maria Kraeva, Tihomir Tenchev, Dzhevdet Chakarov, Milena Sandeva, Snezhanka Dragusheva, Daniela Taneva, Atanas Batashki

“…Furthermore, we explored the use of deep-learning-based majority voting methods, such as bag of words and PAHLI, in improving diagnostic accuracy in colorectal cancer detection. …”
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Development of the ASSESS tool: a comprehenSive tool to Support rEporting and critical appraiSal of qualitative, quantitative, and mixed methods implementation reSearch outcomes by Nessa Ryan, Dorice Vieira, Joyce Gyamfi, Temitope Ojo, Donna Shelley, Olugbenga Ogedegbe, Juliet Iwelunmor, Emmanuel Peprah

“…First, an online modified NGT occurred among a small expert panel (n = 5), consisting of literature review, item generation, round robin with clarification, application of the tool to various study types, voting, and discussion. This was followed by a larger e-consensus meeting and modified Delphi process with implementers and implementation scientists (n = 32). …”
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Identification and validation of a small molecule targeting ROR1 for the treatment of triple negative breast cancer by Shradheya R. R. Gupta, Tram M. Ta, Maryam Khan, Archana Singh, Indrakant K. Singh, Indrakant K. Singh, Indrakant K. Singh, Bela Peethambaran

“…We obtained 10 representative compounds via consensus voting, deleting structural alerts, and clustering. …”
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Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images by Yuyang Li, Tengfang Deng, Bolin Fu, Zhinan Lao, Wenlan Yang, Hongchang He, Donglin Fan, Wen He, Yuefeng Yao

“…To resolve these issues, this paper combined three decision fusion methods (Majority Voting Fusion, Average Probability Fusion, and Optimal Selection Fusion) with four CNNs, including SegNet, PSPNet, DeepLabV3+, and RAUNet, to construct different fusion classification models (FCMs) for mapping wetland vegetations in Huixian Karst National Wetland Park, Guilin, south China. …”
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Italian national consensus statement on management and pharmacological treatment of phenylketonuria by Alberto Burlina, Giacomo Biasucci, Maria Teresa Carbone, Chiara Cazzorla, Sabrina Paci, Francesca Pochiero, Marco Spada, Albina Tummolo, Juri Zuvadelli, Vincenzo Leuzzi

“…Statements were re-discussed and refined during consensus conferences in the widest audience of experts, and finally submitted to the whole consensus group for a modified-Delphi voting. Results Seventy three statements, divided in two main clinical areas, PKU management and Pharmacotherapy, achieved large consensus in a multidisciplinary group of expert in different aspects of disease. …”
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Essential items for reporting of scaling studies of health interventions (SUCCEED): protocol for a systematic review and Delphi process by Amédé Gogovor, Hervé Tchala Vignon Zomahoun, Ali Ben Charif, Robert K. D. McLean, David Moher, Andrew Milat, Luke Wolfenden, Karina Prévost, Emmanuelle Aubin, Paula Rochon, Giraud Ekanmian, Jasmine Sawadogo, Nathalie Rheault, France Légaré

“…For each item, the consensus is reached if at least 80% of the participants’ votes fall within the same category. The list of items from the final round will be discussed at face-to-face consensus meeting. …”
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AI-Driven Counter-Terrorism: Enhancing Global Security Through Advanced Predictive Analytics by Fahad Ali Khan, Gang Li, Anam Nawaz Khan, Qazi Waqas Khan, Myriam Hadjouni, Hela Elmannai

“…In this context, we present a solution in the form of an optimal weighted voting ensemble classifier, specially tailored for the classification of weapon types in terrorist attacks. …”
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Dissemination of clinical and scientific practice through social media: a SIAARTI consensus-based document by Andrea Cortegiani, Denise Battaglini, Giovanna Amato, Astrid Ursula Behr, Katia Donadello, Sharon Einav, Maria Grazia Frigo, Giorgio Fullin, Alberto Giannini, Mariachiara Ippolito, Franco Marozzi, Roberta Monzani, Gianpaola Monti, Marcus J. Schultz, Vito Torrano, Gianluca Villa, Antonino Giarratano

“…Statements and rationales were produced and subjected to blinded panelists’ votes. After reaching consensus, a document was written which then underwent external review by experts uninvolved in the consensus process. …”
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The development of a core outcome set for studies of pregnant women with multimorbidity by Siang Ing Lee, Stephanie Hanley, Zoe Vowles, Rachel Plachcinski, Ngawai Moss, Megha Singh, Chris Gale, Adeniyi Francis Fagbamigbe, Amaya Azcoaga-Lorenzo, Anuradhaa Subramanian, Beck Taylor, Catherine Nelson-Piercy, Christine Damase-Michel, Christopher Yau, Colin McCowan, Dermot O’Reilly, Gillian Santorelli, Helen Dolk, Holly Hope, Katherine Phillips, Kathryn M. Abel, Kelly-Ann Eastwood, Lisa Kent, Louise Locock, Maria Loane, Mohamed Mhereeg, Peter Brocklehurst, Sharon McCann, Sinead Brophy, Steven Wambua, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Shakila Thangaratinam, Krishnarajah Nirantharakumar, Mairead Black, on behalf of the MuM-PreDiCT Group

“…Seventeen stakeholders reviewed these 52 outcomes in a second consensus meeting, the threshold was ≥80% of all participants voting for inclusion. The final core outcome set included 11 outcomes. …”
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Clinical, Conventional CT and Radiomic Feature-Based Machine Learning Models for Predicting ALK Rearrangement Status in Lung Adenocarcinoma Patients by Lan Song, Zhenchen Zhu, Zhenchen Zhu, Li Mao, Xiuli Li, Wei Han, Huayang Du, Huanwen Wu, Wei Song, Zhengyu Jin

“…Selected features were then used to build three predictive models (radiomic, radiological, and integrated models) for the ALK-rearranged phenotype by a soft voting classifier. Models were evaluated in the test cohort using the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity, and the performances of three models were compared using the DeLong test.Results: Our results showed that the addition of clinical information and conventional CT features significantly enhanced the validation performance of the radiomic model in the primary cohort (AUC = 0.83–0.88, P = 0.01), but not in the test cohort (AUC = 0.80–0.88, P = 0.29). …”
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Predict ovarian cancer by pairing serum miRNAs: Construct of single sample classifiers by Guini Hong, Fengyuan Luo, Zhihong Chen, Liyuan Ma, Guiyang Lin, Tong Wu, Na Li, Hao Cai, Tao Hu, Haijian Zhong, You Guo, Hongdong Li

“…The best diagnosis is achieved using a combination of reversed miRNA pairs, considering the largest evaluation index and the lowest number of miRNA pairs possessed according to the voting rule. The SSC was then validated in internal data (GSE106817: OVC = 120, non-cancer = 759) and external data (GSE113486: OVC = 40, non-cancer = 100).ResultsThe obtained 13-miRPairs classifier showed high diagnostic accuracy on distinguishing OVC from non-cancer controls in the training set (sensitivity = 98.00%, specificity = 99.60%), which was reproducible in internal data (sensitivity = 98.33%, specificity = 99.21%) and external data (sensitivity = 97.50%, specificity = 100%). …”
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Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data by Bolin Fu, Man Liu, Hongchang He, Feiwu Lan, Xu He, Lilong Liu, Liangke Huang, Donglin Fan, Min Zhao, Zhenglei Jia

“…When the object-based RF algorithm and SegNet algorithm were used for coarse classification of karst vegetation, the parameters (mtry, ntree) of the object-based RF algorithm were optimized, and the data dimensionality reduction and RFE variable selection algorithm were used for selecting feature, and the single-class SegNet model was integrated based on the soft voting method to improve the applicability of vegetation classification in karst wetlands. …”
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The Knowledge of the Physicians about Sepsis Bundles is Suboptimal: A Multicenter Survey by Zeliha Kocak Tufan, Fatma Civelek Eser, Emre Vudali, Ayse Batirel, Bircan Kayaaslan, Aliye Tanrici Bastug, Deniz Eray, Vedat Turhan, Fazilet Duygu, Duran Tok, Serife Altun, Cemal Bulut, Mehmet A. Tasyaran

“…About the most important approach in sepsis, 151 (68%) voted for fluid replacement while 59 (26%) and 13 (6%) said early antibiotic use and inotropic support are the most important approaches respectively. …”
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U-HEALTHCARE MONITORING SYSTEMS : DESIGN AND APPLICATIONS / by Dey, Nilanjan, 1984-, editor 611303, Ashour, Amira, editor 648477, Fong, Simon James, editor 648479, Borra, Surekha, editor 623368, ScienceDirect (Online service) 7722

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Hybrid Pattern of State Legitimacy: Constraints and Capacities of Iranian Cultural Legacies by Mohammad Javad Gholamreza Kashi, Sanaz Karami

“…In hybrid order we are faced with institutions and arrangements that are conformed to democratic patterns and are legitimized through peoples’ votes. At the same time, there are institutions that are legitimized through tradition, culture and history. 2) Often this question is raised that what are hybrid regimes’ legitimization patterns. …”
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Jurisprudence-Legal Consideration of Single-Status Childbearing by Davood Soroosh, Alireza Abadi, Mohammad Nematshahi

“…On the other hand, some individuals believe that this case can be regarded as some kind of inoculation with the involvement of a donor agency, and some jurists have voted to allow it. Therefore, these jurists explicitly accepted the use of donor gamete in the form of marital relations. …”
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EM JULGAMENTO, O USO DE AGROTÓXICOS: ESTRATÉGIA UTILIZADA PARA ENSINAR QUÍMICA À ESTUDANTES DO 3º ANO ENSINO MÉDIO DE UMA ESCOLA DO CAMPO by Geaneis Pereira da Silva, Marcelo Franco Leão

“…At the end of the simulation, the jurors decided for the conviction of the farmer who used pesticides, by five votes in favor and two against. This strategy allowed to discuss concepts and consequences caused by chemical substances present in agrochemicals. …”
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