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Jens S. Andersen is a Professor in the Department of Biochemistry and Molecular Biology at the University of Southern Denmark, where he leads research in Biomedical Mass Spectrometry and Systems Biology. His work is centered on the development and application of quantitative mass spectrometry and microscopy-based proteomics to study human cell biology, particularly the structure and function of organelles such as centrosomes, cilia, autophagosomes, and mitochondria. His research focuses on determining the protein composition and dynamic properties of cellular organelles, the roles of specific protein groups, and their contributions to biological processes and diseases. He investigates cell signaling mediated by post-translational modifications, especially within the DNA damage response, autophagy, and immune systems. His lab, the Jens S. Andersen Lab, is part of the Research Section of Biomedical Mass Spectrometry. The analysis of his recent publications reveals a strong interdisciplinary trend combining proteomics, structural biology, and cell signaling. His work spans cilia biology, RNA metabolism, DNA repair, and cancer mechanisms, with frequent use of advanced techniques like mass spectrometry, CRISPR, and live-cell imaging. The integration of systems biology approaches is evident across his research outputs. Professor, Department of Biochemistry and Molecular Biology, University of Southern Denmark Head of Research, Biomedical Mass Spectrometry and Systems Biology Principal Investigator, Jens S. Andersen Lab ORCID: 0000-0002-6091-140X While no specific scientific awards are mentioned in the provided texts, his extensive publication record in high-impact journals such as Science , Nature Communications , Molecular Cell , and EMBO Journal reflects significant scholarly contributions. He has supervised research projects and collaborated widely across Europe, though specific names of students are not listed. His research is supported by multiple ongoing projects, reflecting sustained funding and academic leadership. The Jens S. Andersen Lab operates at the intersection of proteomics and cell biology, contributing to fundamental understanding of organelle dynamics and disease mechanisms. The lab's work is highly collaborative, involving partnerships with groups in structural biology, RNA research, and cancer biology.

• Proteomics
• Quantitative Mass Spectrometry
• Cell Biology
• +11 more

Prof. Sadettin Emre Alptekin is a full Professor of Industrial Engineering at Galatasaray University, Faculty of Engineering and Technology, where he also serves as Vice Dean. Since joining the university as a research assistant in 2000, he has steadily advanced through the academic ranks, becoming an Assistant Professor (2006–2010), Associate Professor (2010–2023), and finally Professor in 2023. Education: PhD (Dr), Industrial Engineering, Istanbul Technical University, Institute of Science and Technology, 2001–2006 MSc, Industrial Engineering, Galatasaray University, Faculty of Engineering and Technology, 1999–2001 BSc, Industrial Engineering, Istanbul Technical University, Faculty of Management, 1995–1999 Languages: Advanced English (C1), Upper-Intermediate French (B2), Advanced German (C1) Research Interests: Prof. Alptekin’s research focuses on Computer Learning , Fuzzy Sets and Systems , and Decision Support Systems . His work integrates artificial intelligence, machine learning, and soft-computing techniques to solve complex industrial and managerial problems in areas such as supply chain management, quality function deployment, blockchain adoption, and mental-health prediction. Publication Trends: Across more than 50 refereed publications, Prof. Alptekin has consistently explored hybrid intelligent models that combine fuzzy logic, machine learning, and multi-criteria decision-making. Recent articles emphasize deep-learning-based anomaly detection in industrial time-series data, blockchain adoption in supply chains, and machine-learning applications in subjective well-being and mental-health modeling. Scientific Awards & Honors: No specific awards or medals are listed in the provided documents. Research Leadership & Funding: Since 2008 he has been the principal investigator (executive) of 12 nationally funded projects, covering topics such as Industry 4.0 sub-system design, Internet of Things applications, artificial neural networks in organizational decision-making, big-data analytics, and strategic decision processes. Graduate Advising: He has formally supervised at least 8 master’s theses and numerous undergraduate projects. Representative thesis titles include Gaussian-process-regression-based man-hour prediction, machine-learning-driven human-behavior modeling, recommender-system design for e-commerce, thyroid-nodule diagnosis from scintigraphic images, software-effort estimation via neural networks, spreadsheet heuristics for joint-replenishment problems, cross-selling decision systems in insurance, and profitability analyses of Turkish banks under disinflation. Laboratories & Teams: While no dedicated laboratory name is disclosed, his continuous role as Vice Dean and principal investigator implies active leadership of the Industrial Engineering department’s research clusters in intelligent systems and decision support technologies.

• Computer Learning
• Fuzzy Sets and Systems
• Decision Support Systems
• +3 more

Zeljko Pantic is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He holds a Ph.D. from NC State (2013) and B.S./M.S. degrees from the University of Belgrade (1998/2007). Before joining NC State in 2019, he served as an Assistant Professor and Associate Director of the Electric Vehicle and Roadway Research Facility at Utah State University. He is actively involved in editorial roles for IEEE Transactions on Transportation Electrification and serves on the IEEE IAS Transportation Systems Committee. Education: Ph.D., Electrical Engineering, North Carolina State University (2013) M.S., Electrical Engineering, University of Belgrade (2007) B.S., Electrical Engineering, University of Belgrade (1998) Research: Dr. Pantic specializes in electrified transportation systems, wireless power transfer (WPT), power converter design, and DC microgrid technologies. His work addresses challenges in EV charging infrastructure, magnetic circuit optimization, and energy conversion principles for transportation electrification. Recent projects include autonomous wireless charging systems for UAVs, marine DC microgrids, and road-embedded DWPT solutions. Awards & Recognition: 2019 IEEE JESTPE Second Prize Paper Award 2017 Outstanding Teacher of the Year (USU) 2012 NC State Mentored Teaching Assistantship Award Advisees & Grants: While specific student names are not listed, Dr. Pantic has advised graduate students on projects spanning WPT systems, EV infrastructure, and battery management. His work has been supported by grants focusing on dynamic charging, magnetic materials, and autonomous observatory nodes. Labs & Facilities: He leads research at NC State's Electric Vehicle and Roadway facility, focusing on roadway-integrated wireless charging and high-power WPT systems. Collaborations include ocean observatory development and autonomous system integration.

• Electrified Transportation
• Power Converters Design and Control
• Wireless Power Transfer Systems
• +5 more

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +5 more

Napoleon Waszkiewicz serves as a Professor in the Department of Psychiatry at the Faculty of Medicine with the Division of Dentistry and Division of Medical Education, Medical University of Bialystok, Poland, maintaining active research with over 375 publications documented in institutional repositories. His work bridges clinical psychiatry and biological mechanisms, emphasizing biomarker discovery across mental health conditions. Research interests center on psychiatric disorders with strong emphasis on addictions, autism spectrum disorder, depression, and inflammatory pathways. He investigates environmental interactions including seasonality effects, microplastic exposure from tobacco products, and gut-brain axis dynamics using metabolomics and biomarker analysis. Current projects explore neurodevelopmental impacts of omega-3 fatty acids, probiotic interventions for depression, and diagnostic criteria for behavioral addictions like gaming disorder. Analysis of his 2025 publications reveals thematic clustering around autism-related research (12 articles), depression-inflammation links (7 articles), and novel environmental risk factors (4 articles), demonstrating consistent focus on translational psychiatry through biomarker validation and mechanistic reviews. Methodologically, he favors metabolomics, narrative/systematic reviews, and clinical trial designs. Scientific awards: No specific honors, fellowships, or medals are documented in the provided profile information. Thesis supervision is indicated through the 'Promoted theses' section of his profile, though individual student names and grant funding details remain unspecified. Collaborative patterns show extensive co-authorship across Polish and international institutions, particularly in multi-center clinical trials and review articles spanning psychiatry, cardiology, and public health domains. Laboratory infrastructure and dedicated research teams are not explicitly described in the available text, though his metabolomics studies suggest access to biochemical analysis facilities. Current projects imply ongoing work in autism biomarker validation and microplastic toxicity assessment.

• Psychiatry
• Addictions
• Biological Markers
• +5 more

Dr. Robbie Hanson serves as Research Faculty in the Department of Applied Behavior Analysis at The Chicago School's Online campus and holds a dual appointment as Senior Associate Researcher at the Verbal Behavior Research Laboratory, California State University, Sacramento. A doctoral-level Board Certified Behavior Analyst (BCBA-D) with 15 years of clinical practice and 10 years of graduate teaching experience, she specializes in evidence-based interventions for neurodiverse populations and experimental analysis of verbal behavior. Her academic credentials include: Ph.D. in Applied Behavior Analysis from Endicott College (2020) M.A. in Applied Behavior Analysis from Western Michigan University (2008) B.S. in Psychology from Central Michigan University (2006) Dr. Hanson's research program centers on quantitative analysis of behavior, with particular emphasis on stimulus equivalence, bidirectional naming, and verbal behavior mechanisms. Her applied work addresses complex cases involving co-morbid diagnoses, functional behavior assessment for severe maladaptive behavior, and development of tailored interventions for individuals with autism, Down syndrome, and intellectual disabilities. This dual focus bridges experimental methodology with real-world clinical applications. Analysis of her 11 publications (2021-2025) reveals consistent methodological innovation using go/no-go successive matching-to-sample procedures across auditory, visual, and cross-modal stimuli. Her work predominantly appears in specialized behavior analysis journals like The Analysis of Verbal Behavior and Journal of the Experimental Analysis of Behavior , with significant contributions to equivalence class formation and verbal behavior applications for populations with communication challenges. With a decade of graduate course instruction, Dr. Hanson has mentored numerous behavior analysts though specific advisee names aren't documented in available materials. Her ongoing collaboration with CSU Sacramento's Verbal Behavior Research Laboratory drives current investigations into stimulus control and equivalence relations, maintaining strong connections between academic training and laboratory research.

• Behavior Analysis
• Applied Behavior Analysis
• Verbal Behavior
• +7 more

Name: Yamandu Hilbert Affiliation: Department of Palaeoanthropology, Faculty of Science, Eberhard Karls University of Tübingen Research Focus: Palaeolithic and Neolithic archaeology, raw material exploitation, use-wear analysis, human-environmental interactions, lithic technology, experimental archaeology, spatial distribution of stone tools in prehistoric sites across the Near East and beyond. Education: PhD, Doctor of Philosophy (REVIVE 2013) B.A., Ur- und Frühgeschichtliche Archäologie und Archäologie des Mittelalters, Eberhard Karls Universität Tübingen (2008) Research Trends: Analysis of Nubian Complex and bidirectional blade technology Studies on glacial refugia and human dispersals Woodworking tool functionality in South Arabia Geospatial methods for site discovery in Arabian deserts Collaborations: Co-authorships with Rose, Crassard, Parton, et al. Participation in Saudi-French Archaeological Mission Contributions to La Trobe Archaeological Research in Oman

• Palaeolithic Archaeology
• Neolithic Archaeology
• Lithic Technology
• +5 more

Hung Luyen is an Assistant Professor in the Department of Electrical Engineering at the University of North Texas, affiliated with the College of Engineering. His research focuses on advanced antenna systems, microwave engineering, and biomedical applications of electromagnetic technology. He holds a position in Discovery Park B232 and can be contacted at Hung.Luyen@unt.edu . Research Interests His work emphasizes innovative antenna designs, including reconfigurable phased arrays, 3D-printed components, and microwave ablation technologies for medical treatments. Key areas include: Phased array and reflectarray antenna systems Dielectric resonator antennas and material science applications Microwave ablation for minimally invasive cancer treatment RF system optimization (e.g., Doherty amplifiers) Biomedical engineering integration with antenna technologies Recent Research Trends Recent publications highlight advancements in antenna miniaturization, reconfigurability, and AI-driven design methodologies. His work bridges traditional antenna engineering with emerging fields like additive manufacturing and biomedical electronics. Awards & Grants No scientific awards were explicitly mentioned in the provided information. Funding sources and grant details are not listed here. Labs & Teams Research activities are centered in the University of North Texas labs affiliated with the Electrical Engineering department, though specific lab names or collaborative teams were not detailed in the text.

• Antenna Design
• Microwave Engineering
• Biomedical Applications
• +3 more

Associate Professor Bruno C. d. S. Oliveira is affiliated with the Department of Computer Science at The University of Hong Kong, where he leads the HKU PL Group. His research focuses on programming languages , particularly type systems for modularity and the integration of object-oriented and functional paradigms . He has contributed extensively to conferences like POPL, ICFP, ECOOP, and OOPSLA. Key Research Areas : Programming Languages Type Systems Modularity Polymorphism Subtyping Dependent Types His recent work explores bidirectional typing , iso-recursive subtyping , and intersection/union type applications . He has advised numerous PhD and MPhil students, including Wenjia Ye, Baber Rehman, and Yaoda Zhou. Awards include the Distinguished Artifact Award (ECOOP 2021) , Best Paper Awards (Modularity 2016) , and Distinguished Paper Awards (POPL 2020, ICFP 2019) . His teaching includes Functional Programming (CSIS0258/COMP3258) and Principles of Programming Languages (CSIS0259/COMP3259) .

• Programming Languages
• Modularity
• Type Systems
• +6 more

Dr. Seth Selorm Klobodu is an Associate Professor in the Department of Nutrition and Food Science at California State University, Chico. His research focuses on the interplay between economic development, maternal and child health/nutrition in Sub-Saharan Africa (SSA), and the bidirectional impacts between these factors. He holds a PhD in Nutritional Sciences from Texas Tech University, an MBA from CSU Chico, and advanced degrees from the University of Ghana. Education: PhD, Nutritional Sciences (Major) and Agriculture & Applied Economics (Minor), Texas Tech University MBA, California State University, Chico MPhil, Nutritional Sciences, University of Ghana BSc, Nutrition and Food Sciences, University of Ghana Research Interests: Dr. Klobodu examines how economic growth influences maternal and child health outcomes in SSA and vice versa. He investigates household-level economic disparities affecting health, evaluates nutrition project efficacy, and analyzes micronutrient deficiencies (e.g., iodine in salt). Past projects include studies on anemia prevalence, lysine supplementation effects, and alcohol consumption impacts in Ghana. Labs/Teams: While no specific lab names are mentioned, his work aligns with multidisciplinary teams addressing global nutrition challenges. Office hours: Fridays 1–3 PM (Holt 314).

• Maternal and Child Nutrition
• Economic Development and Health
• Sub-Saharan Africa Public Health
• +5 more

Ecler Jaqua, MD, is an Associate Professor in the Department of Family Medicine at Loma Linda University School of Medicine. His academic work is deeply rooted in family medicine with a specialized focus on geriatric care, cognitive health, and lifestyle medicine. He actively contributes to clinical research and scholarly discourse through peer-reviewed publications in prominent journals such as American Family Physician and The Permanente Journal . Dr. Jaqua's research interests span a wide range of topics critical to aging populations, including Alzheimer's disease, dementia, sleep disorders in older adults, and the safe integration of complementary and alternative therapies with conventional medications. His work emphasizes holistic, patient-centered approaches to managing chronic conditions and promoting healthy aging. His recent publications from 2016 to 2024 demonstrate a consistent trajectory in exploring lifestyle interventions (such as the HEALM approach), medication safety in the elderly, and the bidirectional relationship between oral health and systemic well-being. These works reflect a strong commitment to evidence-based, integrative care models. Scientific Awards: No scientific awards mentioned in the provided text. Dr. Jaqua collaborates with a multidisciplinary team of researchers and clinicians, including Tran, Hanna, Gonzalez, Yoong, and Labib, indicating active engagement in collaborative research. While formal student advising is not explicitly noted, his role as an Associate Professor suggests involvement in medical education and mentorship. There is no mention of specific grants, but his sustained publication record implies research support. He does not appear to lead a named laboratory, but his work aligns with lifestyle medicine and geriatrics research initiatives.

• Family Medicine
• Lifestyle Medicine
• Geriatrics
• +7 more

Keiichi Muramatsu is Associate Professor (tenure-track since 2025) at Waseda University’s Global Education Center, Japan. Holding a Doctor of Human Sciences from Waseda, he has successively served as Assistant Professor at Saitama University and as part-time Lecturer at Bunkyo University. He is an active member of the Japan Society of Kansei Engineering, the Japanese Society for Artificial Intelligence and the Color Society of Japan. Education: Doctoral Program, Human Sciences, Waseda University (2009-2014) Master’s Program, Human Sciences, Waseda University (2007-2009) Bachelor, Department of Human Informatics and Cognitive Sciences, Waseda University (2003-2007) Research interests: Muramatsu integrates Kansei informatics and soft computing to quantify human emotional and aesthetic responses. His work spans colour-emotion modelling for lighting and butterfly aesthetics, bio-signal driven emotion recognition using chaotic fingertip plethysmography, and gait classification via deep learning for personalised rehabilitation and stumble prevention. He also develops ontological frameworks to share emotional knowledge across educational and product-service system design domains. Publication trends: Across 62 Scopus papers (h-index 7), Muramatsu’s recent outputs demonstrate a convergence of affective engineering and AI: convolutional networks visualise gait features for training feedback, neural predictors estimate learner states in intelligent tutoring systems, and psychophysiological models link colour, fragrance and 3-D sound to emotional dimensions. Studies consistently combine subjective evaluations with objective indices such as fNIRS, skin conductance and chaotic exponents. Grants & industry links: He has led JSPS KAKENHI grants and internal Waseda special research projects, collaborated with Toyota on driver affective scales, and contributed to exoskeleton development with Saitama medical device firms. His work on LED automotive lighting and mobility-scooter stress evaluation reflects ongoing industry knowledge transfer. Advising & labs: While specific student names are not disclosed, Muramatsu supervises graduate research on gait-assistive devices, emotion recognition wearables, and ITS architectures within the Global Education Center’s interdisciplinary environment.

• Kansei informatics
• Soft computing
• Colour emotion
• +6 more

Roland Neumann is Professor of General Psychology (Cognition, Emotion, Action Regulation) at the University of Trier, where he also heads the Department of General Psychology. He previously served as Professor of Social Psychology at TU Dortmund University (2004–2009) and held research assistant positions at the University of Trier (1992–1997) and the University of Würzburg (1997–2004). His research focuses on the interplay between emotion, cognition, and behavior. Key areas include emotional contagion, approach-avoidance behavior, facial feedback, stereotype threat, and dual-process models of affective processing. He has led multiple DFG-funded projects exploring the bidirectional relationship between affect and behavior, emotion regulation, and reflective-impulsive processes. Analysis of his recent publications (2011–2017) reveals a strong emphasis on the cognitive and motor mechanisms underlying emotional expression and regulation. His work integrates experimental psychology, neuroscience, and social cognition, often using paradigms such as priming, compatibility tasks, and virtual environments. Themes include facial mimicry, test anxiety modulation, and the distinction between manual and facial action control. Roland Neumann has not been mentioned as receiving specific scientific awards in the provided text. He supervises academic activities such as Bachelor's and Master's colloquia, indicating an advisory role, though no named students are listed. He has secured multiple DFG grants, including projects on motor influences on evaluation (1998–2000), bidirectional affect-behavior links (2001–2005), and subprojects within the DFG research group 'Emotion and Behavior: Reflective and Impulsive Processes' (2006–2012). He leads the research team on General Psychology: Cognition, Emotion, Action Regulation at the University of Trier, which appears to focus on experimental and cognitive-affective neuroscience approaches. The team investigates both automatic and controlled processes in emotion and behavior.

• Cognitive Psychology
• Social Psychology
• Affective Neuroscience
• +7 more

Rodrigo C. de Lamare is a Reader in the Department of Electronics at the University of York, United Kingdom. He holds a Diploma from UFRJ, an MSc and PhD from PUC-RIO, and is a Member of the Institution of Engineering and Technology (MIET) and Senior Member of IEEE (SMIEEE). His educational background includes a Postgraduate Certificate of Academic Practice from the University of York (2008), a PhD in Structures and algorithms for multiuser detection and interference suppression in DS-CDMA systems from PUC-RIO (2004), a Master's in Speech coding at rates below 2 kb/s from PUC-RIO (2001), and a Diploma in A CELP speech coder for Brazilian Portuguese from UFRJ (1998). Dr. de Lamare's research spans multiple areas of signal processing and communications, with a strong focus on adaptive algorithms for wireless systems. His work addresses fundamental challenges in multiuser detection, interference suppression, beamforming, and space-time processing. He has made significant contributions to reduced-rank adaptive filtering techniques that balance performance with computational complexity, which is crucial for practical implementation in modern communication systems. His publication record shows a consistent trajectory of high-impact research in IEEE journals and conferences, with recent work focusing on large-scale MIMO systems, cooperative communications, and advanced signal processing techniques for next-generation wireless networks. The research demonstrates increasing complexity in addressing interference management in dense wireless environments while maintaining computational feasibility. As an educator, Dr. de Lamare teaches courses in Error Control Coding, Detection and Estimation Theory, Digital Signal Processing, Information Theory, Engineering Mathematics, and Emerging Technologies, reflecting the breadth of his expertise. His academic supervision includes work with PhD students and visiting academics, though specific names are not provided in the available information. His professional activities encompass extensive conference participation and contributions to the academic community through technical program committees and editorial work.

• Signal Processing
• Wireless Communications
• MIMO Systems
• +7 more

Andrea Carena is a Full Professor in the Optical Communication Group at the Department of Electronics and Telecommunications, Politecnico di Torino, Italy. He holds a M.Sc. and Ph.D. in Electronic Engineering from the same institution (1995 and 1998). His career includes a Visiting Researcher role at UC Santa Barbara (1998) and a decade as an Assistant Professor at Politecnico di Torino before becoming a Full Professor. His research focuses on optical communication systems, particularly digital signal processing, coherent detection, fiber nonlinearities, and advanced modulation formats. He has authored over 200 publications and received the IEEE/OSA Best Paper Award (2014, 2015). Education: M.Sc. in Electronic Engineering, Politecnico di Torino (1995) Ph.D. in Electronic Engineering, Politecnico di Torino (1998) Research Interests: Physical layer design of optical systems Coherent detection and digital signal processing Fiber nonlinearity modeling and mitigation Multi-core and few-mode fiber applications Machine learning for optical system optimization Publications Trends: Recent work emphasizes machine learning-driven optimization of optical amplifiers (Raman, bismuth-doped), SWDM/VCSEL systems for data centers, and reconfigurable photonic integrated circuits. His 2020s research bridges lab-to-field trials, including SDM transmission over deployed fibers and probabilistic shaping in multi-core environments. Awards: 2014 IEEE/OSA Journal of Lightwave Technology Best Paper Award 2015 IEEE/OSA Journal of Lightwave Technology Best Paper Award Advising & Grants: While no student names are listed, his leadership in the OptCom group suggests extensive PhD/Master’s supervision. His work on OptSim and modular WSS designs reflects major research grants in optical networking and photonics. Labs/Teams: Leads the Optical Communications Group (OptCom) at Politecnico di Torino, specializing in experimental and theoretical studies of advanced optical communication systems. Collaborates internationally on projects like OPERA (optical label swapping networks) and multi-core fiber field trials.

• Optical Communication Systems
• Digital Signal Processing
• Fiber Optics
• +3 more