Pages
תוצאות חיפוש לאירועים
-
Date:12ראשוןמאי 2024הרצאה
Lake Kinneret in a Changing Environment
More information שעה 11:00מיקום בניין משפחת זוסמן
M. Magaritz Seminar Roomמרצה Yael Amitai
Israel Oceanographic and Limnological Research, The Yigal Alon Kinneret Limnological Laboratoryמארגן המחלקה למדעי כדור הארץ וכוכבי הלכתצרו קשר תקציר Show full text abstract about Located in a highly sensitive subtropical climate area and a...» Located in a highly sensitive subtropical climate area and a densely populated area, Lake Kinneret is poised to undergo both natural and human-induced transformations in the coming decades. The lake is thermally stratified throughout most of the year and mixes thoroughly each winter when the epilimnion (upper layer) water temperature reaches equilibrium with the hypolimnion (bottom layer) water temperature by surface cooling and turbulence. Both the stratified and the fully mixed periods has a significant role in the Kinneret’s ecological system.
Observation shows that air above the Lake is warming in a rate of 0.4oC/decade, while the epilimnion and hypolimnion are warming in a rate of 0.3oC/decade and 0.1oC/decade, respectively, for the last 50 years. Therefore, stratification strength and duration is anticipated to change and impact the lake’s ecosystem.
Additionally, the sequence of drought periods and the expected future rise in water demands from Lake Kinneret formed the basis for the government's decision to channel desalinated water, via the natural course of the Tzalmon Stream, to the lake to ensure its operational functionality at high levels.
Using a 3D hydrodynamic model forced by short and long-term forecasts the above scenarios are examined and analyzed. A simulation forced by regional atmospheric RCP4.5 climate change scenario spanning from 2010-2070 show continuous warming followed by abrupt cooling of the lake water around the year 2065. This result, presumably due to enhanced latent heat loss, suggest a restrain the dramatic anticipated change in the lake stratification.
-
Date:15רביעימאי 2024הרצאה
Elizabeth Reznik GM Shouval Lab
More information שעה 10:00 - 11:00מיקום בניין לביוכימיה על שם נלה וליאון בנוזיו
Cafeteriaמרצה Adi Hazak
Department of Biomolecular Sciencesמארגן המחלקה למדעים ביומולקולרייםצרו קשר פרטים נוספים Show full text description of Host: Ori Avinoam...» Host: Ori Avinoamתקציר Show full text abstract about Myoblast cell fusion is essential for skeletal muscle develo...» Myoblast cell fusion is essential for skeletal muscle development and regeneration. Yet, the molecular machinery that drives myoblast fusion remains incompletely understood. Myoblast cell fusion is an intricate multistep process, making it challenging to identify the specific proteins involved. Until now, no approach was available to capture fusing cells and dissect the dynamic changes in their cellular transitions. To fill this gap, we have developed a method using small-molecule inhibitors to synchronize muscle differentiation ex vivo and capture cells before, during, and after fusion. This allows us to identify and associate proteins with specific stages of muscle cell differentiation and fusion. Using this method, we have identified the Paralemmin A-kinase anchor protein (PALM2-AKAP2), a protein of unknown function, as a potential regulator of muscle regeneration. Hence, this work provides valuable data and will provide new insight into the mechanism of myoblast fusion and muscle regeneration. -
Date:15רביעימאי 2024הרצאה
Mitochondrial dynamics in health and disease
More information שעה 11:00 - 12:00מיקום בניין ע"ש מקס ולילאן קנדיוטי
Auditoriumמרצה Prof. György Hajnóczkyמארגן המחלקה לאימונולוגיה ורגנרציה ביולוגיתצרו קשר -
Date:15רביעימאי 2024הרצאה
Machine Learning and Statistics Seminar
More information שעה 11:15 - 12:15כותרת Towards Reverse Algorithmic Engineering of Neural Networksמיקום בניין יעקב זיסקינד
Room 1מרצה Dan Vilenchik
BGUמארגן המחלקה למדעי המחשב ומתמטיקה שימושית
Seminarצרו קשר תקציר Show full text abstract about As machine learning models get more complex, they can outper...» As machine learning models get more complex, they can outperform traditional algorithms and tackle a broader range of problems, including challenging combinatorial optimization tasks. However, this increased complexity can make understanding how the model makes its decisions difficult. Explainable models can increase trust in the model’s decisions and may even lead to improvements in the algorithm itself. Algorithms like GradCAM or SHAP provide good explanations in terms of feature importance, typically for classification tasks. Still, they provide little insight when the ML pipeline is designed to work, for example, as an algorithm for solving optimization problems. In this talk, we present a concept-learning framework for explaining a neural machine-learning model’s decision-making process from an algorithmic point of view. Using the NeuroSAT algorithm for SAT solving as a case study, we demonstrate how our framework finds the algorithmic concepts that drive the operation of NeuroSAT. Using the concepts that we discover, we can re-write the black box NeuroSAT net as a text-book algorithm that performs typical algorithmic moves like (a) compute confidence levels for every variable, (b) fix variables with the highest confidence and simplify the instance, (c) solve the residual formula using some simple technique. (Such a principle guides, for example, the well-known Belief-Propagation-Decimation algorithm).
Joint work with Elad Shoham (PhD student BGU), Kahalil Wattad (MSc student BGU), Hadar Cohen (MSc student BGU), and Havana Rika (Tel-Aviv-Yafo Academic College).
Short bio:
Dan Vilenchik holds a PhD in computer science from Tel Aviv University. He did a postdoc at UC Berkeley and UCLA. He is currently a tenured member of the Electrical Engineering School at Ben-Gurion University. His research includes various aspects of machine learning, such as the challenges of high-dimensional data, explainable AI, NLP, and multidisciplinary projects.
-
Date:16חמישימאי 2024סימפוזיונים
Physics Colloquium
More information שעה 11:15 - 12:30כותרת Toward Autonomous “Artificial Cells” in 2Dמיקום בניין הפיסיקה ע"ש עדנה וק.ב. וייסמן
Auditoriumמרצה Weizmann Institute of Scienceמארגן המחלקה לפיסיקה של מערכות מורכבותצרו קשר פרטים נוספים Show full text description of Refreshments at 11:00...» Refreshments at 11:00תקציר Show full text abstract about We study the assembly of programmable quasi-2D DNA compartme...» We study the assembly of programmable quasi-2D DNA compartments as
“artificial cells” from the individual cellular level to multicellular communication.
We will describe work on autonomous synthesis and assembly of cellular
machines, collective modes of synchrony in a 2D lattice of ~1000
compartments, and a first look at the birth of proteins on a single DNA.
-
Date:16חמישימאי 2024הרצאה
Vision and AI
More information שעה 12:15 - 13:15כותרת Large-scale study of human memory for meaningful narrativesמיקום בניין יעקב זיסקינד
Lecture Hall - Room 1מרצה Misha Tsodyks
WISמארגן המחלקה למדעי המחשב ומתמטיקה שימושית
Seminarצרו קשר תקציר Show full text abstract about The statistical study of human memory requires large-scale e...» The statistical study of human memory requires large-scale experiments, involving many stimuli conditions and test subjects. While this approach has proven to be quite fruitful for meaningless material such as random lists of words, naturalistic stimuli, like narratives, have until now resisted such a large-scale study, due to the quantity of manual labor required to design and analyze such experiments.
Large language models (LLMs) have provided the necessary technological breakthrough for this purpose, given their ability to generate human-like text and carry out novel tasks after being prompted by instructions in natural language, without additional training. In this work, we develop a pipeline that uses large language models (LLMs) both to design naturalistic narrative stimuli for large-scale recall and recognition memory experiments, as well as to analyze the results. We performed online memory experiments with a large number of participants and collected recognition and recall data for narratives of different sizes. We found that both recall and recognition performance scale linearly with narrative length -
Date:16חמישימאי 2024הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת Asymptotic analysis in some problems with fractional Brownian motionמיקום בניין יעקב זיסקינד
Room 155מרצה Pavel Chigansky
HUJIמארגן המחלקה למתמטיקהצרו קשר תקציר Show full text abstract about Some problems in the theory and applications of stochastic p...» Some problems in the theory and applications of stochastic processes reduce to solving integral equations with their covariance operators. Usually, such equations do not have explicit solutions, but useful information can still be extracted through asymptotic analysis with respect to relevant parameters. In this talk, I will survey some recent results on such equations for processes related to the fractional Brownian motion: applications include the problem of small deviations, linear filtering, and statistical inference.
-
Date:19ראשוןמאי 202420שנימאי 2024מועצת המנהלים הבינלאומית
Executive Board and committee meetings 2024
More information שעה כל היוםמיקום מרכז כנסים על-שם דויד לופאטי
Kimmel Auditoriumצרו קשר -
Date:19ראשוןמאי 2024הרצאה
Floods in a warming climate: what are the missing puzzle pieces?
More information שעה 11:00מיקום בניין משפחת זוסמן
M. Magaritz Seminar Roomמרצה Efrat Morin
The Hebrew University of Jerusalemמארגן המחלקה למדעי כדור הארץ וכוכבי הלכתצרו קשר תקציר Show full text abstract about Flood is the outcome of complex processes interacting at a r...» Flood is the outcome of complex processes interacting at a range of scales. Flood generation and its magnitude depend on different precipitation and surface properties. As the climate becomes warmer globally, precipitation patterns are changing and, consequently, altering flood regimes. Resolving the expected changes in flood properties requires examining projections of precipitation features most correlated with floods. While the redistribution of mean annual precipitation amounts is generally known, the trends in many other essential factors controlling floods are yet to be resolved. For example, flash flood magnitude is sensitive to space-time rainstorm properties such as areal coverage or storm speed. Still, knowledge of how these properties are affected by global warming is lacking. Maximal rain rates for duration relevant to the watershed’s response time are also crucial parameters controlling the flood discharge. There is some understanding of how extreme rain rates change, but the magnitude and sign depend on the rain duration considered. Changes in frequency and the intra-seasonal distribution of precipitation events also affect flood regimes. Finally, watersheds of different properties are sensitive to different precipitation features, and thus, different watersheds may respond differently to global warming. In this talk, we will present the complexity of flood response under global warming and then focus on two questions: 1) how does global warming affect heavy precipitation events (HPEs) in the eastern Mediterranean, and 2) how these effects are imprinted in the resulting floods in small-medium Mediterranean watersheds.
We simulated 41 eastern Mediterranean HPEs with the high-resolution weather research and forecasting (WRF) model. Each event was simulated twice: under historical conditions and at the end of the 21st-century conditions (RCP8.5 scenario) using the “pseudo global warming” approach. Comparison of precipitation patterns from the paired simulations revealed that heavy precipitation events in our region are expected to become drier and more spatiotemporally concentrated, i.e., we expect higher rain rates on smaller coverage areas and shorter storm durations that, in total, yield lower amounts of rainfall.
These effects have some contradicting signs, and their full hydrological impact on streamflow peak discharge and volume was further explored. Ensembles of spatially-shifted rainfall data from the simulated HPEs were input to a high-resolution distributed hydrological model (GB-HYDRA) representing four small-medium-size watersheds (18–69 km2) in the eastern Mediterranean (Ramot Menashe). Flow volume is significantly reduced in future HPEs, while the change in flood peak is more complicated due to the combined effect of precipitation amount (decreasing) and precipitation rate (increasing). For the watersheds examined in this research, which are mostly agricultural, flood peaks at the watershed outlets are mostly reduced. The dynamics of flood generation at sub-watersheds of different sizes and properties are further examined in this research to understand scenarios for lowering or increasing flood peaks. This study emphasizes that detecting and quantifying global warming impact on space-time precipitation patterns is essential for flood regime projection. -
Date:20שנימאי 2024סימפוזיונים
Designing nanoparticles for biological environments: from quantum sensing to gene medicine
More information שעה 11:00 - 12:15מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Prof. Petr Cigler
Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciencesמארגן המחלקה לפיסיקה כימית וביולוגיתדף בית צרו קשר תקציר Show full text abstract about The use of nanoparticles in diagnostics, therapeutics and im...» The use of nanoparticles in diagnostics, therapeutics and imaging has revolutionized these fields with new properties not available with small molecules. Nanoparticle interface provide possibilities for polyvalent and independent attachment of different molecules serving as recognition/targeting structures, optical probes, spin probes or catalysts. However, nanoparticles operating in biological environments require precise control of multiple factors related to surface chemistry and their composition. To avoid for example aggregation, off-target interactions, and protein corona formation, appropriate interface design is essential. This talk will present general nanoparticle design strategies and specific examples including nanodiamonds and lipid nanoparticles. -
Date:20שנימאי 2024הרצאה
Special Guest Seminar
More information שעה 11:00 - 12:00כותרת Tissue Stem Cells: Making Choices and Living with Them in Good Times and Badמיקום אולם ע"ש דולפי ולולה אבנרמרצה Prof. Elaine Fuchsמארגן המחלקה לאימונולוגיה ורגנרציה ביולוגיתצרו קשר -
Date:20שנימאי 2024הרצאה
Foundations of Computer Science Seminar
More information שעה 11:15 - 12:15כותרת Online Edge Coloringמיקום בניין יעקב זיסקינד
Room 155מרצה David Wajc
Technionמארגן המחלקה למדעי המחשב ומתמטיקה שימושית
Seminarצרו קשר תקציר Show full text abstract about Vizing’s Theorem provides an algorithm that edge colors any ...» Vizing’s Theorem provides an algorithm that edge colors any graph of maximum degree Δ using Δ 1 colors, which is necessary for some graphs, and at most one higher than necessary for any graph. In online settings, the trivial greedy algorithm requires 2Δ-1 colors, and Bar-Noy, Motwani and Naor in the early 90s showed that this is best possible, at least in the low-degree regime. In contrast, they conjectured that for graphs of superlogarithmic-in-n maximum degree, much better can be done, and that even (1 o(1))Δ colors suffice online. This would make edge coloring a rare problem, for which "online is (nearly) as easy as offline". In this talk I will outline the history of this conjecture, and its recent resolution, together with extensions of a flavor resembling classic and recent results on *list* edge-coloring and “local” edge-coloring.
Talk based in part on joint works with many wonderful and colorful collaborators, including Sayan Bhattacharya, Joakim Blikstad, Ilan R. Cohen, Fabrizio Grandoni, Seffi Naor, Binghui Peng, Amin Saberi, Aravind Srinivasan, Ola Svensson and Radu Vintan.
-
Date:21שלישימאי 2024הרצאה
Molecular-level insights into light-induced reactions in biological systems from multiscale simulations
More information שעה 14:00 - 15:00מיקום אולם הרצאות ע"ש גרהרד שמידטמרצה Dr. Igor Shapiro
Hebrew Universityמארגן המחלקה לביולוגיה מבנית וכימיתצרו קשר -
Date:22רביעימאי 2024הרצאה
LS Luncheon
More information שעה 12:00 - 14:00מיקום בניין לביוכימיה על שם נלה וליאון בנוזיו
Auditoriumמרצה Prof. Neta Regev Rudzkiמארגן מדעי החייםצרו קשר -
Date:22רביעימאי 2024הרצאה
זרקור על מדע
More information שעה 13:00 - 14:00כותרת יחסי מבנה-תפקוד כמפתח לפענוח הקוד העצבימיקום אולם הרצאות ע"ש גרהרד שמידטמרצה אלון רובין
ד"רמארגן יחידת שוהם במכון דוידסון
Staff Scientists Seminarצרו קשר -
Date:23חמישימאי 2024סימפוזיונים
Physics Colloquium
More information שעה 11:15 - 12:30כותרת TBAמיקום בניין הפיסיקה ע"ש עדנה וק.ב. וייסמן
Auditoriumמרצה Prof. Hadar Steinberg
Hebrew Universityמארגן המחלקה לפיסיקה של חומר מעובהצרו קשר פרטים נוספים Show full text description of Refreshments at 11:00...» Refreshments at 11:00תקציר Show full text abstract about TBA ...» TBA -
Date:23חמישימאי 2024הרצאה
Vision and AI
More information שעה 12:15 - 13:15כותרת TBAמיקום בניין יעקב זיסקינד
Lecture Hall - Room 1מרצה Sigal Raab
TAUמארגן המחלקה למדעי המחשב ומתמטיקה שימושית
Seminarצרו קשר תקציר Show full text abstract about TBA ...» TBA
-
Date:23חמישימאי 2024הרצאה
Geometric Functional Analysis and Probability Seminar
More information שעה 13:30 - 14:30כותרת TBDמיקום בניין יעקב זיסקינד
Room 155מרצה Ariel Yadin
BGUמארגן המחלקה למתמטיקהצרו קשר תקציר Show full text abstract about TBD ...» TBD
-
Date:23חמישימאי 2024אירועים אקדמיים
ישיבת מועצה מדעית
More information שעה 14:00מיקום מרכז כנסים על-שם דויד לופאטי
Kimmel Auditoriumצרו קשר -
Date:23חמישימאי 2024הרצאה
To be announced
More information שעה 15:00 - 16:00מיקום בניין לביוכימיה על שם נלה וליאון בנוזיו
Auditoriumמרצה Dr. Alexander von Appen
Max Planck Institute of Molecular Cell Biology and Genetics, Germanyמארגן המחלקה למדעים ביומולקולרייםצרו קשר פרטים נוספים Show full text description of Host: Ori Avinoam...» Host: Ori Avinoam