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1st Challenge on Head and Neck Tumor Segmentation for MRI-Guided Applications, HNTS-MRG 2024, Held in Conjunction with 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024

作者： Wahid, Kareem A. Dede, Cem El-Habashy, Dina M. Kamel, Serageldin Rooney, Michael K. Khamis, Yomna Abdelaal, Moamen R. A. Ahmed, Sara Corrigan, Kelsey L. Chang, Enoch Dudzinski, Stephanie O. Salzillo, Travis C. McDonald, Brigid A. Mulder, Samuel L. McCullum, Lucas Alakayleh, Qusai Sjogreen, Carlos He, Renjie Mohamed, Abdallah S. R. Lai, Stephen Y. Christodouleas, John P. Schaefer, Andrew J. Naser, Mohamed A. Fuller, Clifton D. Department of Radiation Oncology The University of Texas MD Anderson Cancer HoustonTX United States Department of Imaging Physics The University of Texas MD Anderson Cancer HoustonTX United States Transitional Year Program Corewell Health Wiliam Beaumont Royal OakMI United States Department of Radiation Oncology University of Maryland School of Medicine BaltimoreMD United States Department of Clinical Oncology and Nuclear Medicine Faculty of Medicine Alexandria University Alexandria Egypt UT MD Anderson Cancer CenterUTHealth Houston Graduate School of Biomedical Sciences Houston United States Department of Radiation Oncology Baylor College of Medicine HoustonTX United States Department of Head and Neck Surgery The University of Texas MD Anderson Cancer HoustonTX United States Elekta AtlantaGA United States Department of Computational Applied Mathematics and Operations Research Rice University HoustonTX United States

ISBN: (纸本)9783031832734

Magnetic resonance (MR)-guided radiation therapy (RT) is enhanc- ing head and neck cancer (HNC) treatment through superior soft tissue con- trast and longitudinal imaging capabilities. However, manual tumor segmentation remains a significant challenge, spurring interest in artificial intelligence (AI)- driven automation. To accelerate innovation in this field, we present the Head and Neck Tumor Segmentation for MR-Guided Applications (HNTS-MRG) 2024 Challenge, a satellite event of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. This challenge addresses the scarcity of large, publicly available AI-ready adaptive RT datasets in HNC and explores the potential of incorporating multi-timepoint data to enhance RT auto- segmentation performance. Participants tackled two HNC segmentation tasks: automatic delineation of primary gross tumor volume (GTVp) and gross metastatic regional lymph nodes (GTVn) on pre-RT (Task 1) and mid-RT (Task 2) T2- weighted scans. The challenge provided 150 HNC cases for training and 50 for final testing hosted on *** using a Docker submission framework. In total, 19 independent teams from across the world qualified by submitting both their algorithms and corresponding papers, resulting in 18 submissions for Task 1 and 15 submissions for Task 2. Evaluation using the mean aggregated Dice Simi- larity Coefficient showed top-performing AI methods achieved scores of 0.825 in Task 1 and 0.733 in Task 2. These results surpassed clinician interobserver vari- ability benchmarks, marking significant strides in automated tumor segmentation for MR-guided RT applications in HNC. © The Author(s) 2025.

关键词： Deep learning

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Budgeting and controllable cost variances - The case of multiple diagnoses, multiple services, and multiple resources

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Journal of Medical Systems 1982年第6期6卷 599-611页

作者： Broyles, Robert W. Lay, Colin M. From the Center of Management and Applied Economics Health and Medical Services Administration Widener University Chester Pennsylvania United States From the Graduate Program in Health Administration University of Ottawa Ottawa Ontario Canada

This paper examines an unfavorable cost variance in an institution which employs multiple resources to provide stay specific and ancillary services to patients presenting multiple diagnoses. It partitions the difference between actual and expected costs into components that are the responsibility of an identifiable individual or group of individuals. The analysis demonstrates that the components comprising an unfavorable cost variance are attributable to factor prices, the use of real resources, the mix of patients, and the composition of care provided by the institution. In addition, the interactive effects of these factors are also identified. © 1982 Plenum Publishing Corporation.

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Plastic dispersion in Northeast Brazil beaches and plastic contaminant detection in Brazilian coast fishing nets

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Marine Pollution Bulletin 2025年 218卷 118221页

作者： Greici Gubert Bruna de Ramos Ronei Cardoso de Oliveira Karolliny Barbosa de Araújo Arthur Martins Gabriel Kátia Alves Ribeiro Emilly de Souza Cordeiro Daniele dos Santos Aragão José Domingos dos Santos Silva Monica Ferreira da Costa Emerson Rodrigues de Camargo Wallace Duarte Fragoso Sherlan Guimarães Lemos Ernesto Chaves Pereira de Souza Priscila Gubert Chemistry Department Federal University of São Carlos São Carlos Brazil Oceanography Department Federal University of Pernambuco Recife Brazil Coastal Sea Geography Group Leibniz-Institute for Baltic Sea Research Seestrasse 15 18119 Rostock-Warnemünde Germany Postdoctoral Program in Physics Federal University of São Carlos São Carlos Brazil Keizo Asami Institute iLIKA Federal University of Pernambuco Recife Brazil Graduate Program in Pure and Applied Chemistry POSQUIPA Federal University of Western of Bahia Bahia Brazil Department of Chemistry Federal University of Paraíba João Pessoa Brazil Graduate Program in Biology Applied to Health PPGBAS Federal University of Pernambuco Recife Brazil

This study investigates the dispersion of floating plastic from Recife-PE harbor using a particle tracking model and examines contaminants in fishing nets collected from Brazilian beaches. Simulations were conducted for both dry and rainy seasons. Fishing nets were collected from eight beaches for analysis. The plastic movement simulation showed particles dispersed 0.41 km southward during the dry season and 177.50 km northward during the rainy season. Most particles (90 %) beached within the first week, indicating localized litter distribution. The study identified 14 pesticide residues in the collected nets, along with heavy metals such as arsenic, cadmium, chromium, copper, nickel, zinc, and iron, detected via Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). The pesticide and metal data were used to calculate the toxicological priority index (ToxPi), showing the sample from Joaquina-SC had the highest toxicity, while the sample from Sancho-PE had the lowest. Principal component analysis (PCA) and hierarchical cluster analysis (HCA) revealed pollution patterns, with potential associations between pesticides and metals. These findings raise concerns about the contaminants' impact on marine organisms and human health, highlighting the importance of understanding plastic pollution dynamics and associated risks. Also, the outcomes emphasize the need to reevaluate environmental regulations to better protect ecosystems and species from harmful pollutants, including plastics.

关键词： Fishing nets Contaminant Plastic Dispersion Pesticide Heavy metals

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Relationship between prospective memory and vigilance: Evidence from ERP

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Chinese Science Bulletin 2012年第31期57卷 4057-4063页

作者： WANG Ya LI XueBing HUANG Jia CAO XiaoYan CUI JiFang ZHAO Qing WANG YuNa SHUM David H K CHAN Raymond C K Neuropsychology and Applied Cognitive Neuroscience Laboratory Key Laboratory of Mental HealthInstitute of PsychologyChinese Academy of SciencesBeijing 100101China Graduate University of Chinese Academy of Sciences Beijing 100049China Nattonal Instttute of Educatton Sczences Beijing 100088China Behavioural Basis of Health Program Griffith Health Institute and School of Applied PsychologyGriffith UniversityBrisbane 4122Australia

Event-related potentials (ERPs) were used in this study to investigate the neural correlates of prospective memory (PM) and vigilance. Twenty college or graduate students participated in this study. They were administered a PM and a vigilance task and physiological data were collected at the same time. Behavioral results showed that the RT associated with PM cues was longer than those associated with vigilance targets. ERP results showed that PM cues and vigilance targets did not show significant difference in the N2 but PM cues evoked greater N300 than vigilance targets, and vigilance targets evoked greater parietal positivity/P3 than PM cues, suggesting vigilance and PM have similar but also distinctive neural basis.

关键词： ERP 记忆证据事件相关电位生理数据 PM 研究生神经

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Recognizing malnutrition in adults with critical illness: Guidance statements from the Global Leadership Initiative on Malnutrition

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Clinical Nutrition 2025年 49卷 202-208页

作者： Fukushima, R. Compher, C.W. Correia, M.I.T.D. Gonzalez, M.C. McKeever, L. Nakamura, K. Lee, Z.Y. Patel, J.J. Singer, P. Stoppe, C. Ayala, J.C. Barazzoni, R. Berger, M.M. Cederholm, T. Chittawatanarat, K. Cotoia, A. Lopez-Delgado, J.C. Earthman, C.P. Elke, G. Hartl, W. Hasan, M.S. Higashibeppu, N. Jensen, G.L. Lambell, K.J. Lew, C.C.H. Mechanick, J.I. Mourtzakis, M. Nogales, G.C.C. Oshima, T. Peterson, S.J. Rice, T.W. Rosenfeld, R. Sheean, P. Silva, F.M. Tah, P.C. Uyar, M. Department of Surgery Teikyo University School of Medicine Department of Health and Dietetics Faculty of Health and Medical Science Teikyo Heisei University Tokyo Japan Biobehavioral Health Sciences Department and Nutrition Programs University of Pennsylvania School of Nursing Philadelphia PA United States Department of Surgery Universidade Federal de Minas Gerais Belo Horizonte Brazil Postgraduate Program in Nutrition and Food Federal University of Pelotas RS Brazil Department of Clinical Nutrition Rush University Medical Center Chicago IL United States Department of Critical Care Medicine Yokohama City University Hospital Kanagawa Japan Department of Anaesthesiology Faculty of Medicine University of Malaya Kuala Lumpur 50603 Malaysia Department of Cardiac Anesthesiology and Intensive Care Medicine Charité Berlin Berlin Germany Division of Pulmonary and Critical Care Medicine Medical College of Wisconsin 9200 West Wisconsin Avenue HUB 8th floor Milwaukee 53225 WI United States Intensive Care Unit Herzlia Medical Center Reichman University Herzlia and Institute for Nutrition Research Intensive Care Department Beilinson Hospital Rabin Medical Center Petah Tikva Israel Department of Anaesthesiology Intensive Care Emergency and Pain Medicine University Hospital Würzburg Würzburg Germany Department of Surgery Clinica del Country of Medicine FUCS Bogotá Colombia Department of Medical Technological and Translational Sciences University of Trieste Ospedale di Cattinara Trieste Italy Faculty of Biology and Medicine Lausanne University Lausanne Switzerland Department of Public Health and Caring Sciences Clinical Nutrition and Metabolism Uppsala University Uppsala and Theme Inflammation & Aging Karolinska University Hospital Stockholm Sweden Division of Trauma and Surgical Critical Care Clinical Surgical Research Center Department of Surgery Faculty of Medicine Chiang Mai University Chiang Mai 50200 Thailand Department of Medical and Surgical Sc

Background: Patients with critical illness may present with disease-related malnutrition upon intensive care unit (ICU) admission. They are at risk of development and progression of malnutrition over the disease trajectory because of inflammation, dysregulated metabolism, and challenges with feeding. Methods: The Global Leadership Initiative on Malnutrition (GLIM) convened a panel of 36 clinical nutrition experts to develop consensus-based guidance statements addressing the diagnosis of malnutrition during critical illness, using a modified Delphi approach with a requirement of ≥75% agreement. Results: 1. To identify pre-existing malnutrition, we suggest evaluation within 48 hours of ICU admission when feasible (100% agreement) or within 4 days (94% agreement). 2. To identify the development and progression of malnutrition, we suggest reevaluation of all patients every 7-10 days (97% agreement). 3. To identify progressive loss of muscle mass, we suggest evaluation of muscle mass as soon as feasible (92% agreement), and again after 7-10 days (89% agreement). 4. To identify the development and progression of malnutrition prior to and after ICU discharge, we suggest reevaluating nutritional status prior to ICU discharge and during clinical visits that follow (100% agreement). Conclusion: Research using consistent etiologic and phenotypic variables offers great potential to assess the efficacy of nutrition interventions for critically ill patients with malnutrition. Assessment of these variables at during and beyond the ICU stay will clarify the trajectory of malnutrition and enable exploration of impactful treatment modalities at each juncture. GLIM offers a diagnostic approach that can be used to identify malnutrition in critically ill patients. © 2025 The Authors

关键词： Global Leadership Initiative on Malnutrition ICU Malnutrition Muscle mass

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Behavioral alterations are independent of previous generalized anxiety in experimental sepsis

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Neurology Psychiatry and Brain Research 2018年 30卷 144-147页

作者： Steckert, Amanda V. Michels, Monique Ávila, Pricila Dominguini, Diogo Tomaz, Débora B. Maisonnette, Silvia Barichello, Tatiana Quevedo, João Landeira-Fernandez, Jesus Dal-Pizzol, Felipe Laboratory of Experimental Pathophysiology Graduate Program in Health Sciences Health Sciences Unit University of Southern Santa Catarina (UNESC) Criciúma SC Brazil Laboratory of Neurosciences Graduate Program in Health Sciences Health Sciences Unit University of Southern Santa Catarina (UNESC) Criciúma SC Brazil Translational Psychiatry Program Department of Psychiatry and Behavioral Sciences McGovern Medical School The University of Texas Health Science Center at Houston (UTHealth) Houston TX United States Neuroscience Graduate Program The University of Texas Graduate School of Biomedical Sciences at Houston Houston TX United States Laboratory of Behavioral Neuroscience (LANEC) Department of Psychology Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) Rio de Janeiro RJ Brazil Center of Excellence in Applied Neurosciences of Santa Catarina (NENASC) Graduate Program in Medical Sciences Federal University of Santa Catarina (UFSC) Florianópolis SC Brazil

Background: Many sepsis survivor patients develop psychological problems and cognitive impairment. We hypothesize that previous stress exacerbate the cognitive impairment and anxiety in sepsis survivors. To test our hyphothesis, experimental animals that were selectively bred for high and low contextual fear conditioning were subjected to sepsis to evaluate long-term behavior changes. Methods: Adult male Albino Wistar rats selectively bred for high (Carioca high-conditioned freezing - CHF) levels or low (Carioca low-conditioned freezing - CLF) levels of emotionality were subject to sepsis by the cecal ligation and perforation (CLP) or sham operated (no-CLP) as a control group. Elevated plus-maze and inhibitory avoidance tasks were performed 10 days after CLP and non-CLP surgeries. Results: The sepsis survivor rats (wild-type, CHF, and CLF groups) and sham (CHF and CLF groups) presented anxious-like behavior evaluated by elevated plus-maze task. However, only sepsis groups presented aversive memory impairment evaluated by inhibitory avoidance task at 10 days after CLP surgery. The CLF or CHF did not interefere in the long-term impairment triggered by sepsis. Conclusion: Our data suggest that previous stress did not interfere in the long-term cognitive impairment and anxious-like behavior observed in septic survivor rats. © 2018 Elsevier GmbH

关键词： Anxiety Behavior High-conditioned freezing Low-conditioned freezing Sepsis

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Histopathological features of polymorphous adenocarcinoma: A case series

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Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2025年第1期139卷 e16-e16页

作者： S Nascimento-de-Aquino CV Bardález-López de Cáceres HK Farias-Bezerra BV Rodrigues-Louredo JP Gonçalves de Paiva M Ajudarte-Lopes AR Santos-Silva PA Vargas Departamento de Diagnóstico Oral Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas Piracicaba São Paulo Brazil Applied Health Sciences Post-Graduate Program Federal University of Juiz de Fora Campus Governador Valadares Governador Valadares Minas Gerais Brazil Federal University of Minas Gerais Belo Horizonte Minas Gerais Brazil

Background Polymorphous adenocarcinoma (PAC) is a malignant neoplasm of the salivary gland with a low incidence worldwide, characterized by diverse morphological features. Objectives This study aimed to present a large and well-documented case series from a single Brazilian center. Methods We analyzed demographic data, clinical presentations, histopathological features, and immunohistochemical characteristics of 26 cases of PAC. Results Most patients were women (n = 21), with a mean age of 58 years (range = 36 to 84 years). The typical clinical presentation was a fibrous/fibroelastic and firm nodular lesion, with an average diameter of 2 cm, most found on the palate (n = 15). The alveolar ridge, buccal mucous, and superior lip were also affected. Histologically, various patterns were observed, including tubular, solid, cribriform, papillary, and cystic. Glomeruloid slit-like structures (n = 11), clear cells (n = 13), and mucous cells (n = 8) were also identified. Surface papillary epithelial hyperplasia was observed in four cases, and the presence of myxoid and collagenous areas in the stroma in nine. Fusiform areas were noted in 2 cases and areas of squamous differentiation in one. A clear cell predominance was observed in 2 cases. Neural invasion was present in eight cases. All cases were positive for S-100 and Cytokeratin 7 (CK7), and negative for p-40. The Ki-67 index was low, with a mean of 2.5%. Conclusion In this case series, PAC primarily affected minor salivary glands and exhibited some uncommon microscopic features. Oral pathologists should be aware of these findings to prevent misdiagnosis.

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Automatic knowledge discovery and case management: An effective way to use databases to enhance health care management

IFIP Advances in Information and Communication Technology

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IFIP Advances in Information and Communication Technology 2009年 296卷 241-247页

作者： Kobus, Luciana S.G. Enembreck, Fabrício Scalabrin, Edson Emílio da Silva Dias, João da Silva, Sandra Honorato Graduate Program on Health Technology Pontifical Catholic University of Paraná Brazil Graduate Program on Applied Informatics Pontifical Catholic University of Paraná Brazil

This paper presents a methodology based on automatic knowledge discovery that aims to identify and predict the possible causes that makes a patient to be considered of high cost. The experiments were conducted in two directions. The first was the identification of important relationships among variables that describe the health care events using an association rules discovery process. The second was the discovery of precise prediction models of high cost patients, using classification techniques. Results from both methods are discussed to show that the patterns generated could be useful to the development of a high cost patient eligibility protocol, which could contribute to an efficient case management model. © 2009, IFIP Advances in Information and Communication *** right reserved.

关键词： health care

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Genetic diversity of rice germplasm (Oryza sativa L.) of java island, Indonesia

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Journal of Crop Science and Biotechnology 2021年第1期24卷 93-101页

作者： Karimah, Addieni Zulfa Siswoyo, Tri Agus Kim, Kyung Min Ubaidillah, Mohammad Graduate School of Biotechnology University of Jember Jember Indonesia Program Study of Agrotechnology Faculty of Agriculture University of Jember Jember Indonesia Division of Plant Biosciences School of Applied BioSciences College of Agriculture and Life Science Kyungpook National University Korea Science and Technology Daegu South Korea Program Study of Agrotechnology Faculty of Agriculture Center of Excellence (PUI) Biotechnology Plant Industry University of Jember Jln. Kalimantan 37 Kampus Tegalboto Jember 68121 East Java Indonesia

The role of genetic diversity in crop germplasm is an important concept within genetic conservation. In this research, 43 accessions were analyzed at the agro-morphological and genetic levels. Clustering based on the agro-morphological resulted in four sub-groups. Analysis at the genetic level was conducted using 22 microsatellites, which revealed a total number of alleles to be 203, with a range per allele between 2 and 17 and an average of 9.2 alleles per locus. The highest and lowest Polymorphic Information Content (PIC) values were found in RM431 and RM11, which were 0.95 and 0.67, respectively. The genetic diversity value ranged from 0.71 to 0.95. The genetic similarity among accessions ranged from 0.00 to 0.90. Clustering based on the genetic relatedness divided the Java rice samples into two major groups. The classification created through this research many inform future breeding programs aimed at improving the quality and quantity of yield production. © 2020, Korean Society of Crop Science (KSCS).

关键词： Agro-morphological Diversity Germplasm Rice SSR

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Analysis of Mosquito Genetic with PCR-RAPD Approach

Analysis of Mosquito Genetic with PCR-RAPD Approach

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2021 IEEE International Conference on health, Instrumentation and Measurement, and Natural Sciences, InHeNce 2021

作者： Aputri, Farah Nuriessa Hanum, Laila Pratama, Rahmat Windusari, Yuanita Sriwijaya University Faculty of Science Department of Biosciences Program Indralaya Indonesia Sriwijaya University Faculty of Mathematics Natural Sciences Department of Biology Indralaya Indonesia Sriwijaya University Agriculture Sciences Graduate Program Faculty of Agriculture Indralaya Indonesia Sriwijaya University Departement Public Health and Mathematic Natural Sciences Faculty Indralaya Indonesia

ISBN: (纸本)9781665441810

The wide distribution of mosquitoes in the territory of Indonesia with differences in geographical location causes mosquitoes to have the ability to adapt to the environment. The ability to adapt to the environment results in high variations phenotypically and genotypically so that Mutation, recombination or migration of genes is the cause of genetic diversity in a population. The purpose of this research is to study the characteristics and inventory of distribution areas, as well as to analyze genetic variations using morphological and molecular approaches. Genetic typology data through the RAPD approach provides information about the genetic variation of mosquitoes in an effort to control them as disease vectors. Genetic characterization was carried out by PCR-RAPD using three primers, namely OPA 11, OPA 12, OPA 15 and OPL12. Data were analyzed using UPGMA with a similarity coefficient using the Jaccard Coefficient of Similarity presented as a dendrogram. The results showed that the variation of the mosquito polymorphy band from the Kelurahan Kemelak Bindung Langit, Komering Ulu Regency was high. With the DNA band profile of RAPD results as many as 37 bands with a polymorphy DNA band presentation of (86.65%). © 2021 IEEE.

关键词： Genes

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