The RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) and the Faculty of Science at Nara Women's University are promoting a project to foster female researchers under the auspices of the RIKEN Diversity Promotion Office. As part of the program, 19 undergraduate and graduate students from Nara Women's University will visit several laboratories on the RIKEN Wako campus to ask questions about their research and hold workshops/presentations with iTHEMS researchers.

Organizers:
RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS)
Faculty of Science, Nara Women's University

Program:
13:50-15:15
RIBF Facility, RIKEN Nishina Center (RNC) (E01, Nishina RIBF Building)

15:30-16:30
RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) (C01, Main Research Building, #359)
Introduction to iTHEMS: Tetsuo Hatsuda (iTHEMS Director)
Lecture and Q&A: Nagisa Hiroshima (iTHEMS)

16:45-18:00
RIKEN Center for Brain Science (CBS) (C56, Ikenohata Research Building, #316)
Laboratory for Sensorimotor Integration (Fumi Kubo, Team Leader)

18:30-21:00
Networking Session (C01, Research Building 3F)

9:15-10:30
RIKEN Center for Advanced Photonics (RAP) (C32, Laser Research Building, Mid Conference Room A)
Photonics Control Technology Team (Satoshi Wada, Team Leader)

10:45-12:00
RIKEN Center for Sustainable Resource Science (CSRS) (S01, Biological Science Research Building, S311)
Molecular Bioregulation Research Team (Shinya Hagihara, Team Leader)

iTHEMS Cosmology Forum Workshop is a series of short workshops, each focusing on an emerging topics in cosmology. The target audience is cosmologists, high-energy physicists and astronomers interested in learning about the subject, not just those who have already worked on the topic. The goal of the workshop is to provide working knowledge of the topic and leave dedicated time for discussions to encourage mutual interactions among participants.

The third workshop is devoted to the 'reheating' phase of the early Universe. Reheating bridges the gap between the (almost) empty universe at the end of cosmic inflation and the thermal state of particles, required for Big-Bang nucleosynthesis, and the events of the hot Big-Bang model as a whole, to unfold. It is expected to proceed in different stages starting with a violent parametric resonant creation of particles, dubbed preheating, followed by a redistribution of energy leading to a thermal state. This phase potentially hosts rich phenomenology such as the formation of topoligical defects e.g. solitons, generation of gravitiational wave, and so on. Yet, the very non-linear nature of reheating makes it notoriously hard to describe analytically, and even numerical simulations struggle to follow the whole sequence of events in a given model. Reheating studies have thus yet to reach the degree of compherensiveness and universality that the understanding of cosmic inflation has achieved.

This forum will consist of two events. The first, on March 4th, will be in conference format comprising scientific talks on research trends in (P)Reheating. The second, on March 5th, will be a tutorial on numerical aspects of reheating (both theory and hands-on with code) hosted by Tom Giblin of Kenyon College.

The workshop will be in English.

The workshops are organised by the iTHEMS Cosmology Forum working group, which is the successor of the Dark Matter Working Group at RIKEN iTHEMS.

Important dates:
Feb. 25th - Registration deadline
March 4th - Workshop Day (Room #435-437, Main Research Building 4F)
March 5th - Tutorial Day (Room #445-447, Main Research Building 4F)

Invited Speakers:
John T. Giblin - Kenyon College
Kyohei Mukaida - KEK
Seishi Enomoto - Yokohama National University

Organisers:
Kohei Hayashi, Nagisa Hiroshima, Derek Inman, Amaury Micheli, Ryo Namba

A key prediction in sex allocation theory is that the optimal sex ratio is completely independent to the rate of dispersal. This result challenges the notion of any relationship between dispersal and sex ratio evolution. However, the invariant result is based on the assumption that an individual's dispersal behaviour is not modulated by population density. In this talk, I will explore how density-dependent dispersal impact upon the evolution of sex allocation in a viscous-population setting. Additionally, I will discuss the process of testing this prediction through experimental evolution in spider mites.

Our laboratory investigates how genomic structural variations (SVs) uniquely drive biological diversity and evolution, surpassing smaller-scale variations like single nucleotide polymorphisms. This talk highlights our work on the amylase locus, a rapidly evolving genomic region shaped by dietary adaptations, frequent duplications, and high mutation rates. I will discuss its convergent evolution across mammals, driven by natural selection linked to starch-rich diets, and describe how long-read sequencing uncovered the mutational mechanisms behind its rapid evolution. We also examine local positive selection in indigenous Andean populations with historically starch-rich diets and how these adaptations impact metabolic health. Finally, I will summarize functional experiments in transgenic mice and diabetic-prone Western Nile rats, relevant models for human metabolism, to investigate the broader metabolic roles of amylase gene duplications. This research provides a roadmap for studying complex SVs in evolution, offering insights into human adaptation and health.

Although we rarely question how smart unicellular organisms are, it has become clear that unicellular organisms are smarter than we expected. In fact, various protozoa (unicellular eukaryotes) can take actions that are advantageous for their survival even in complex environments in the wild environments. In this talk, I will introduce some typical examples of smart behaviors in a protozoan amoeba (the plasmodium of Physarum polycephalum): (1) maze-solving, (2) formation of multi-functional transport network that mimics public transportation network among cities in Tokyo region, and so on. We will propose a mathematical model of these behaviors and extract the heuristics (simple rules of behavior) that give rise to their smartness. In general, we will discuss the future potential of research into the behavioral intelligence of protozoa.

The purpose of this workshop (held in Japanese) is to promote interdisciplinary research by young researchers through exchanges among all fields of theoretical physics, including the nuclear physics, which is a boundary region between various fields.

This workshop will be a hands-on session on QURI SDK, following the RIKEN Quantum seminar by Andreas Thomasen (QunaSys) on January 27.
Even if you did not attend the previous seminar, please join us if you would like to learn how to use QURI SDK.

The Reece lab provides a unique perspective on parasites, examining their world within hosts and vectors (insects that transmit parasites). Working at the intersection of parasitology, chronobiology, and evolutionary ecology, our research asks: “what makes a successful parasite” and “what are their evolutionary limits”? Unlike most infection research, that focuses solely on genetics and molecular aspects, our approach considers parasites in their ecological and evolutionary contexts. This has enabled us to uncover the sophisticated strategies that malaria parasites possess, such as optimizing the balance between transmission and replication, strategic investment in each sex of transmission stages, and scheduling activities according to the time of day. By understanding how parasites navigate their challenging lifestyles and seize opportunities, we contribute to interventions that can outsmart parasites and reduce the risk of resistance evolution. Our findings extend beyond the laboratory, showcasing the potential of environmental research to curb the impact of parasitic infections, whether in humans, wildlife, livestock, or agriculture, and helping to protect ecosystems.

The density functional theory (DFT) is one of the powerful methods to solve quantum many-body problems, which, in principle, gives the exact energy and density of the ground state. The accuracy of DFT is, in practice, determined by the accuracy of an energy density functional (EDF) since the exact EDF is still unknown. Currently, DFT has been used in many communities, including nuclear physics, quantum chemistry, and condensed matter physics, while the fundamental study of DFT, such as the first principle derivations of an accurate EDF and methods to calculate many observables from obtained densities and excited states, is still ongoing. However, there has been little opportunity to have interdisciplinary communication.

On December 2022, we had the first workshop on this series (DFT2022) at Yukawa Institute for Theoretical Physics, Kyoto University, and several interdisciplinary discussions and collaborations were started. On February 2024, we had the second workshop on this series (DFT2024) at RIKEN Kobe Campus, and more stimulated discussion occured. To keep and extend collaborations, we organize the third workshop. Since the third workshop, we extend the scope of the workshop to the development and application of DFT as well. In this workshop, the current status and issues of each discipline will be shared towards solving these problems by meeting together among researchers in mathematics, nuclear physics, quantum chemistry, and condensed matter physics.

This workshop mainly comprises lectures/seminars on cutting-edge topics and discussion, while sessions composed of contributed talks are also planned.

We show that nonsingular black holes (BHs) realized in nonlinear electrodynamics are always prone to Laplacian instability around the center because of a negative squared sound speed in the angular direction. This is the case for both electric and magnetic BHs, where the instability of one of the vector-field perturbations leads to enhancing a dynamical gravitational perturbation in the even-parity sector. Thus, the background regular metric is no longer maintained in a steady state. We also generalize our analysis to the case in which a scalar field is present besides the U(1) gauge field and find no explicit examples of linearly stable nonsingular BHs. Our results suggest that the construction of regular BHs without instabilities is generally challenging within the scheme of classical field theories.

Recent advancements in artificial intelligence have led to various discoveries in the field of neuroscience. For example, it has been demonstrated that the information on orientation columns in the visual cortex and the basic taste information in the gustatory cortex can be extracted by applying machine learning to relatively low-resolution functional MRI data. Additionally, intriguing findings have emerged, such as the information processing structures of artificial neural circuits—designed independently of the brain—showing similarities to those of biological neural networks.
In this talk, I will discuss the applications of artificial intelligence in neuroscience and explore future directions in this field.