In the light of ongoing development of new high-throughput experimental techniques, the skill of data processing and analysis becomes inevitable for any researcher. The special attention will be given to hypothalamus/pituitary/adrenal axis and gonads, which maintain homeostasis, regulating reproduction, metabolism, energy utilization, control of cardiovascular system and other functions. At the end of this course, students will be able to solve problems involving fluid dynamics typical for a mechanical engineer. Wide range of problem sets from linear algebra, image processing, deep learning, physics and engineering makes this course interesting and suitable for all levels of students from all CREIs. Gas-Particle Flows Methods for describing effects of external factors such as temperature, pressure, and doping on properties of materials will be also discussed. Convergence, safety and stability of reinforcement learning are studied. The produced samples of nanoparticles will be observed with means of transmission and scanning electron microscopies. The course is about transferring research results and discoveries into commercially successful products. The course is conducted as practical and hands-on lab. The aim of the course is to provide guidelines and strategies for writing academic texts, focusing on relevant aspects of grammar, vocabulary, and style. Skoltech is an English medium instruction environment, and the course contains discussion topics to highlight ways of addressing the potential effects of language and culture barriers for high quality student learning. The course is an introduction to Petroleum Engineering and gives an overview of Petroleum Engineering and its various components and their internal connection. On practical seminars we will assemble our own femtosecond fiber laser and measure its emission properties. 1. Application of constitutive material models and equations of state are onsidered. At the beginning of the course we formulate general principles and discuss a theoretical framework to study the light-matter interaction at nanoscale. Depending on the applicable regulations related to COVID-19, on the Examination day students make their presentations and participate in the discussion in person or via an online platform in front of the Examination Committee and a group of peers. Nowadays, the Computational Fluid Dynamics (CFD) is a well-established discipline. and software engineering in teams (code review and version control, building and auto-making programs, reproducibility and containers, testing and test-driven development, improving code style, software deployment and APIs, etc.). on the lattice. The students will get familiar with modulation techniques used in 4th and 5th-generation cellular systems. Seminars are python coding sessions, where students develop and apply machine learning pipelines to derive prediction models. Next we will consider basics of the atomic and electronic processes at crystal surfaces and interfaces, kinetic effects and scattering of the electrons. In particular, the linear and nonlinear properties of the medium (mainly on the example of optical fibers) that affect the parameters of the propagating signal will be analyzed. More specifically, the course consists of distinct four parts: (1) Structural Bioinformatics, (2) Molecular Evolution, (3) Evolutionary Genomics, and (4) Quantitative Genetics. It covers fundamental topics in ML and describes the most important algorithmic basis and tools. 1. WebThis package contains a ROS wrapper for OpenSlam's Gmapping. It is designed to accompany theoretical courses that are offered to MSc students in the first terms of their study. The objective of this course is to provide a general introduction to PhD level research and to present some common research methodologies applicable to major types of research topics in Engineering Systems. In this course, we dive into reinforcement learning for studyng the key principles and implementing them on real examples. Upon completion of these courses, the students will get a comprehensive knowledge and practical skills required from a modern reservoir geologist operating hydrocarbon and geothermal reservoirs as well as subsurface energy storages. approaches; The class is built as highly interactive action that starts with Q&A on a particular component of the EQ toolkit and then culminates in the intensive group and personal exercises. This course presents and analyses efficient algorithms for their fast and economical solution. This course is intended to attract student of all majors interested for diagonalization of big matrices of a special form. The details on ceramic items processing with solvents and high-temperature processing are unveiled. The course provides both theoretical knowledge in well logging application for reservoir characterization and practical skills in well logging processing and interpretation software. Academic writing skills are necessary for effective research, innovation, and educational activities in a multinational setting. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, statistical signal processing, estimation theory, signal sampling, re-sampling, and reconstruction free of errors. Significant improvements of reliability of basin and petroleum system modeling as well as hydrodynamic modeling are demonstrated as new methods of thermal petrophysics and geothermics became obligatory components of prospecting, exploration and development of unconventional resource fields. The reflection concerns the choice of the experimental system (taking into account budgetary, human and time constraints), the experimental design (allowing a statistical analysis of the results), the phenotypes to be observed, the choice of genotypes as well as the methods of stress application. The program is also designed to empower more students to see themselves as startup investors and/or crowdfunders. cartographer_ros node_main.cc main, cartographer_node RunLoadOptions()TopicIMU cartographerimuifbackpack_2d.lu Neurophysiology deals with neuronal mechanisms that govern various functions of our bodies, from motor control and somatosensory sensations to cognition. The module aims at providing full support to the non-engineering students with a series of carefully constructed concepts and exercises. The structure of the center $Z(U(\mathfrak g))$; the Harish-Chandra map. Also, so called Hardware-in-the-Loop (HiL) testing is an important part of the course. This course is final course in PLM series and is devoted to the manufacturing and different types of testing and numerical models validation for the technical system (UAV). This knowledge provides the rationale for protein engineering. The course consists of theoretical and practic parts.Theoreticla part is devoted to analysis of transgenesis in C.elegance, Drosophila, Zebra fish and mice with particular accent on the usage of these platforms in drug development. The course assumes no prior familiarity with evolutionary biology, although knowledge of the basics of molecular biology and genetics is expected. The goal is to propose a strategy for improving the species for the considered traits and to discuss the possible alternatives. The complexity and uncertainty of the world of business require a set of skills that combine analytical approaches with creative ones. Two laboratory sessions will give students hands on experience with analytical chemical procedures for organic matter analysis. Amino acids. With the growing demands for every scientist to publish and not to perish, the quality of academic writing is of utmost importance. WebAvailable only if rtabmap_ros is built with octomap. Ceramics sintering is discussed with examples of different process parameters and corresponding material outcomes. The main topics of the course are classification of structural optimization problems, calculus of variations and energy principles in solid mechanics, structural approximations, sensitivity analysis, optimality criteria, shape optimization, structures of maximum stiffness and topology optimization, SIMP-method. Main topics: The course is devoted to quantum integrable systems. We also plan two small interactive lab sessions. Methods of studying proteins in live cells and/or at the single molecule level. Enzymes. During laboratory class we will get acquainted with the AT on various printing machines. Several laboratories give students direct experience with simulation methods as well as practical knowledge on how to use computational modeling and how to present and interpret results of simulations. A laboratory-based course. Students will have the access to worlds top-level robotic solutions, e.g. The emphasis is on the practical applications, theoretical background, and the use of composite materials in industry. The term Internet of Things doesnt have a single definition and people today often use it to interchangeably refer to Wireless Sensor Network (WSN), Machine-to-Machine (M2M), Web of Things (WoT) and other concepts. The following topics are covered: finite-difference approximation of derivatives; interpolation; integration; steady-state boundary value problems; local and global errors; stability, consistency, and convergence; matrix equations and iterative methods; initial value problems for ordinary differential equations; Runge-Kutta methods; multi-step methods; absolute stability; stiff ODE; numerical solution of PDEs; parabolic problems; hyperbolic problems; method of lines; von Neumann analysis; operator splitting; introduction to spectral approximation. Manufacturing is covered in terms of the major steps required to fabricate laminated composite parts. The introduction in powerful approach to understand the protein interaction such as SPR optical biosensor will be provided. The first thrust is focused on advanced technologies such as Advanced Manufacturing of Composite Materials, Additive Technologies, Thermal Spray Coatings. The process-for-product approach teaches the students to write use (peer) reviewers advice revise/edit repeat and develop linguistic awareness needed to avoid the typical pitfalls in writing and live presentation. Tissue level requires imaging, multiphoton microscopy, SHG and THG microscopy, OCT, raster-scan optoacoustic mesoscopy (RSOM); for manipulation laser 3D printing, laser skin perforation. This course relies on the "Digital signal processing" and "Information and coding theory" courses. The competences acquired in this course can be further used in all branches of material science dealing with crystalline matter. In the process of studies, the students will also learn/reiterate the basics of interfacial thermodynamics, adsorption, wettability, spreading as well as the basics of transport of ionic and nonionic compounds in confined media. -tests. Webnav_msgs defines the common messages used to interact with the navigation stack. The course consists of lectures and seminars, including video demonstration of laboratory equipment, used for measuring rock properties. require anything except the basic notions of linear algebra. The course will cover the main topics such as one-dimensional motion, perturbation theory, scattering theory, approximate methods in quantum mechanics, density matrix formalism. 3. Tensor normal estimation The emulsion block is followed by the behavior of amphiphiles, self-assembly, liquid crystals and colloids stabilization. Design Thinking is a process that iteratively seeks to understand user needs, challenge well-established assumptions, and redefine problems. These skills are basis for your ability to isolate and correct problems when working with a Supercomputer. We discuss established approaches based on iterative solvers (Krylov subspace solvers) and robust economical preconditioners (FFT-related, geometric and algebraic multigrid, and others) for the arising large discrete problems. Due to the unique particularity to possibly replicate the same genotype in time and space, the phenotypic data of plants and microbes can be analyzed with strong power and accounting for variability. Power systems around the world are undergoing a period of unprecedented change. The course will be useful to all students willing to improve their understanding of natural (e.g. The final project will be the creation of a larger research project which requires interacting with several other members of the class in small teams. This course conducted in a form of seminar, is aimed at hands-on learning of best practices of modern research work in the academic and industrial environments. Intellectual capital literature devotes considerable growing attention to its valuation, measurement and reporting, but far less attention to its implications for managerial accounting. Fundamentals of quantum mechanics of open systems based on density matrix will be systematically described. Students having their own projects/ideas in development take this course to understand and practice advanced topics of technology entrepreneurship as well as to get the projects up to external support/funding ready level. In addition to the main program, PhD students and the boldest MS students will be offered to run a short, team-up, publication-oriented biomedical project. Neural tensor network and deep convolutional tensor network. large graphs) on distributed systems. A scalar field in physical terminology is a field that, at the classical level, is defined by one number at each point (i.e., in fact, its state at a given time is just a numerical function on space), unlike a vector field (an example of which, in particular, is an electromagnetic field). The course will cover planning and execution phases of basic and advanced drilling and completion technologies. Seminars assume the discussion of recent original papers in the area (including superconducting electronics and spintronics, terahertz waves technology and applications, quantum coherent systems (qubits), single electron devices). In all cases, you should choose something for which you have passion, enthusiasm, as well as technical expertise. 4. The course covers on-going Omics lab research studies in the field of infectious and somatic diseases (including COVID-19 and its health consequences), neurodegenerative diseases (Alzheimer's disease) and various cancers. The course combines lectures and labs related to hardware, transmission techniques, the medium-access control layer, networking, applications and standards for the IoT communication technologies. This course (or the sister course on advanced topics in bioinformatics) is required for PhD students but may be taken by Masters students looking for a laboratory to perform a thesis project. One can find examples of dynamic systems in everyday life, for examples, automobiles, aircrafts, cranes, electrical circuits, fluid flow. Biochemical optogenetics. The emphasis is made on the demonstration that the light matter interaction in photonic devices can be modified by means of the modern technology. Prediction of molecular properties, as well as the design of molecules with target properties, are highly important problems, that still need to be addressed. Cofactors, amino acids and peptides in the RNA world. For this we discuss concepts in the class, you read the suggested book and write essays to practice reasoning around the Linux concepts. It has three parts: lectures, home tasks and experimental activities in the lab. The course will be focusing on a practical skills. All participants will have a task to produce a reflection on their future actions to evolve as facilitators and meet the requirements of the scholarship of teaching and learning. This course introduces students to the first principles and methods of the observation of Earth surface, monitoring of Earth atmosphere and detection of different kind of radiation coming from Space. Nevertheless, in recent years, there has been a rapid growth of publications that shed light on the new mathematics underlying DL, and we see now many interesting connections between DL and various other fields, e.g. As tf2 is a major change the tf API has been maintained in its current form. Mathematical and numerical methods and tools relevant to this subject will be explored in depth. Biomaterials part concludes with fabrication and use of Scaffolds, implants, eluting stents and gels for tissue engineering. Startups Launchpad: DeepTech & Digital is an intensive 6 credits E&I course. Therefore, students are wellcome to participate for the problem statement for the course projects. aerodynamics and structural analysis). The seminars will be held in the journal club format, where students will read and then discuss papers reporting important advancements in plant biology. One of the goals of Design Thinking is to identify alternative strategies and solutions that might not be evident and provide a solution-based approach to solving end-customer needs. Additive manufacturing technologies offer significant advantages for biomedical devices and tissue engineering due to its ability to manufacture low-volume or one-of-a-kind parts on-demand based on patient-specific needs, at no additional cost for different designs that can vary from patient to patient, while also offering flexibility in the starting materials. Being able to pose a question for every presentaion. Algebraic-geometrical integration theory: Baker-Akhiezer functions Over multiple weeks, we will investigate how researchers and practitioners use these methods and algorithms for analyzing time-series data, text data, or medical sequences. Theoretical sections include introductions into stress and strain theories, failure criteria, elasticity theory, nonlinear material behavior and analysis of tension, compression, bending and shear structural members. The course aims to provide introduction to a modern direction of the solid-state physics, devoted to studying charge transport (charge currents) in mesoscopic structures. Current topic of the seminar can vary from time to time. WebGet the latest breaking news across the U.S. on ABCNews.com This cohort of specialists especially early on in their careers is known for dismissing both the physical mechanisms of image formation and the very biological rationale behind a given imaging modality. Finally, the students will study how to design a laboratory program, acknowledging geology and rock properties of a reservoir. Continuum mechanics allows to demonstrate the power of logic and mathematical thinking. We will start with networks growing via the addition of edges and show that at any instance they can be interpreted statically as random graphs. Theoretical Solid State Physics, CEP (Prof. Gippius). However, it is very common to see undervalued data and incomplete results due to a lack of implementation of the right designs. Seminars demonstrate examples of geomechanical parameters calculations based on the results of laboratory testing using MS Excel. During the course, the students will learn basic principles and concepts of catalysis and develop a team project on a particular and demanding scientific problem. Bridges from atomic to complex systems demonstrate potential of different theories to applications relevant to multiple major industries in the future, including nanotechnology and energy. Ply. Objects of the microworld are dominated by surface effects rather than gravitation and inertia. These materials have a complex structure with several levels of organization and distinguishable macroscopic, mesoscopic, microscopic, and nanoscopic features. Main types of PTMs (glycosylation, lipidation, phosphorylation, etc.). The goal of the course is to provide students with a background in mathematics, especially in linear and multilinear algebra, statistics, useful computational tools. your team is to talk to customers, partners, users, etc.) 2. Thermoelectric generators serve as the main example to illustrate in a simple fashion the out-of-equilibrium formalism, and other systems such as, e.g., solar cells are studied. The technical sessions will be shuffled with invited seminars by doctors/biologists with whom there is an ongoing collaboration. Successful innovators are distinguished not only by their scientific excellence as well as end user vision, but also by superior leadership skills. A great range of capabilities commonly includes a wide variety of basic industrial tasks: material handling and palletizing, machine loading, parts assembly, welding, spray painting, and tool operation. Doctoral Program Committee tailors the format and delivery mode of the Qualifying Exam to best suit the requirements of the doctoral program. This course is developed to give students a broad background and hands on experience in manufacturing of advanced composite materials. We will also deal with modulation and multipath propagation channel models. There has been immense interest in the use of carbon nanomaterials for reinforcement of plastics and their composites in the recent years. Students will get experience in differential gene expression or methylation analysis in the context of aging, hazard ratio models fitting and interpretation, aging clocks construction and their exploration and develop an intuition in dynamical systems modeling. Many of the recent results and applications of the theory of quivers are based on the quiver verieties, introduced by Hiraku Nakajima 20 years ago. Formulating and negotiating the research ideas through the process of writing and peer editing. Additional sources of structural and functional diversity are various cofactors and post-translational modifications of proteins. The course is offered primarily for CDISE students who are assumed to know the basics of image processing and machine learning. those who seriously intend to found their own technology-driven business, will enter Skoltech Startup funnel supported by CEI and Skoltech Business Development group. The real-life conditions will be modelled as much as possible aimed to develop hands-on skills and experience in critical evaluation of new technologies, comparing them to existing alternative solutions, finding a proper product realization and a market niche. Bethe ansatz in exactly solvable models of statistical mechanics The course covers all these topics and implies active interaction between the tutor and students during the classes. The course focuses on two groups of effective properties: the elastic and the conductive ones. The course will also offer a practice in operation of imaging systems on the cell, tissue and body level such as fluorescent microscopy, RSOM, fluorescence imaging. Version 2 of the Proposal, video annotation and the slides should be improved using the comments of the Instructor and the peers. Course participants will become familiar with subjects such as: The main objective of the course is to introduce the concept of space system design and engineering. The course is proposed as a skill-based learning approach based on analysis of real data sets and case studies in a variety of biological questions. The course uses learning-by-doing approach. The student will perform the on-line measurements of number size distribution of aerosol synthesized nanoparticles by differential mobility analyzer (size range: 2-1000 nm). The course is interactive, communicative and intensive, with various speaking, listening, reading and writing activities to be performed in class and at home, individually and in teams. Depending on the status: In addition, some applied aspects of electrochemistry will be covered including industrial electrolytic processes, electrodeposition, and electrochemical power sources (batteries and fuel cells). The Course offers concise and practical guidelines for writing and defending a Master Thesis at Skoltech. The homogenisation (averaging) procedure is described for both conventional and metamaterials. This course will provide a graduate level overview of modern energy conversion systems ranging from state of the art commercial technologies, real world ones, generating electric/mechanic, heating and cooling power, as well as innovative solutions yet to be deployed massively, e.g. We also no longer give specific locations to make it harder for the psychiatric operatives from the Towards Home Alliance to find them. to appoint/ not appoint PhD defense Jury for PhD thesis defense. All major problem statements such as image classification, object detection and segmentation as well as the corresponding classical algorithms will be covered within the course. Major reasons are: The aim of the course is to explain modern ideas and concepts of information theory, as well as to present the emerging use-cases. Zoning of the territories of oil and gas provinces on the complexity of geocryological conditions for the development of deposits is carried out. In all cases, you should choose something for which you have passion, enthusiasm, as well as technical expertise. The main bulk of the 81 hours of the course is spent in the actual courses in which the PhD-students do their TA-assignments. Fatigue. The knowledge of quantum mechanics and statistical physics for understanding of Let alone a global phenomenon that is set to literally revolutionise how we work, live, play and communicate. These assignments leads to the course projects: reproducing and discussing a relevant paper from a recent conference, and/or development of some students' research ideas using methods of Bayesian machine learning. The first part should help to form a systematic view of the architecture of the immune system. At the last part of the course we move further to advanced distributed optimization methods and discuss how to utilize problem structure (e.g. WebMigration: Since ROS Hydro, tf has been "deprecated" in favor of tf2. The course is introductory by nature, covering a wide range of topics and methods of modern interest in applications. After an introduction to mass spectrometry (MS), the course will demonstrate how MS-based modern multi-Omics techniques (including those that are being developed at Skoltech) are being used to solve vital medical problems. Seminars assume the discussion of recent original papers in the area, as well as the classical papers presenting a physical basis for devices operation. The goal of this course is to give a broad review of basic models and modern spectroscopic studies of quantum materials. AI and other digital technologies are actively applied in drug discovery and development to make the whole process less time consuming and more cost-effective. -) Cryptocurrency, Certification, Anchoring. Advances in DNA sequencing, especially NGS, and the methods of genome transformation, boosted the development of this field. The incomplete list of such entities will include: R&D-driven startups, CROs, CMOs, regulators, integrated pharmas, marketing agents, distributors, retail, hospitals, doctors. Individual reports using reproducible research framework are also realized. Research Immersion will take place in Skoltech, as a part of Skoltech International Summer School on Mathematical Physics. Tensor Regression, clustering, and classification -homework The course is limited to 9 participants to ensure interactive, hands-on experience at the Bioimaging and Spectroscopy core facility. The goal of the course is providing a vision of the properties of metals and alloys in terms of phase compositions and transformations, structure, mechanical properties, and how these properties can be evaluated. The covered topics are the following: Modern pharma undergoes digital transformation. Topics also include description of different types of contrast and optical clearing agents. Both materials and manufacturing methods are discussed. Complex and rich nature of molecules allows us to represent them as sequences, graphs, 3D objects, or high-dimensional descriptors, and to apply numerical methods in order to solve open problems in structural bioinformatics and chemoinformatics. The course is recommended for the students who do not have experience in material science but would like to make research correlated with metals or alloys. The course also rests on the approach that learning is promoted by feedback. Participants will learn fundamentals of key areas through active participation in teamwork. The course will outline and compare different optical microscopy techniques and super-resolution imaging in neurobiology. The course introduces basics of FE theory and fundamentals. It includes the review of the principles of materials science including materials classification, hierarchical structuring, related properties, and performance of different class of materials such as natural materials, metals, ceramics, plastics, cellular solids. get well-structured project description (Executive Summary + Slides Deck + Project Pitch) ready for Russian and international startup events and support programs; Since in my case it's better to update the whole costmap than only updating the new discovered area, I solved it by publishing a new frame in the same code (and in the same rate) where I publish my occupancy grid. Course description: The experimental optics course focuses on providing students with the basic practical skills required to kick-start a successful photonics career. With the development of new methods, such as neural recording techniques, decoding algorithms and robotics, neurotechnologies have started to emerge that have practical significance as treatment and rehabilitation approaches to severe neural conditions. The course teaches theoretical and practical fundamentals of diffraction and electron microscopy methods applied to the analysis of the crystal structure, nano- and microstructure of materials. 1. The Thesis Proposal Defense is a compulsory component of the program, whereby the PhD student defends a thesis proposal before the Individual Doctoral Committee. Knowledge of the physical parameters of rocks based on the results of laboratory testing is extremely important for the proper design and development of the most efficient strategy of hydrocarbon recovery in the field conditions. Multiviews and fusion network. They may be man-made (concrete, metals, composites, coatings) or naturally occurring (porous and cracked rocks, bone). Import to mitochondria and peroxisomes. This course will be mainly focused on the mass spectrometry-based techniques refereeing other omics to the special live science courses, e.g. The end of the course comprises the capstone project aimed to solve the structural bioinformatics and chemoinformatics problem of choice using machine learning. Students will also get the possibility to work on modern supercomputers. The course includes permafrost characterization within the main oil and gas fields in the European North and Siberia, including the Arctic zone. Associated methods of multi-material digital fabrication will be outlined. This includes how to evaluate controlled and uncontrolled variability using the appropriate experimental design. Individual course projects are aimed to taste the CDIO approach in Materials Selection for a product that must meet the sustainability requirements. Geometric representation theory applies algebraic geometry to the problems of. Yet, the fabric usually neglected in discussing the scientific ideas, still worthy of notice, is the language used at each stage: the papers, written by the future Nobel prize laureates, their books, the analysis and interpretation of their work in synopses and press releases, their lectures, and Nobel speeches. Students of the course will learn how to design innovative multi-DOFs, mobile, and flying robots. Transformers, and less on the various applications and related topics, such as crowdsourcing, graph-based NLP, and dependency parsing. The students will select several (no less than 3) grant applications on different areas of molecular biology/biochemistry, provide written reviews for each one following the NIH report template and will then discuss each grant in turn (a single grant will be reviewed by three reviewers). Writing is the key priority and the need of utmost importance for all would-be scientists. The Doctoral Program Committee tailors the format and delivery mode of the Qualifying Exam to best suit the requirements of the doctoral program. The course will cover wide range of the satellites-, aircraft-, rockets- and balloon- based techniques designed for environmental monitoring, meteorology, map making etc. Advanced topics include multiple antenna techniques (MIMO Multiple-Input, Multiple-Output) and multiuser communication. Topics that were already covered, or can be covered in the future, are: classical integrable equations, complex curves and their theta-functions, quantum integrable models (quantum-mechanical and field-theoretical), models of statistical physics, stochastic integrability, quantum/classical duality, supersymmetric gauge theories, models of 2d quantum gravity, etc. "Lectures" in the schedule refer to approximately 3h "windows" they will are not necessary scheduled as such, but will spread out and intermitted by seminars / recitations / HW and project discussions. Specifically these include methods of modelling of point clouds, depth fields, parametric curves and surfaces, implicit surfaces and solids. Distributions; ROS/Installation; ROS/Tutorials (which combines the joint information with urdf to publish a robot's tf tree). In the second part, we consider foundations of coding theory such as block codes, linear codes, bounds on the codes parameters and the most popular algebraic coding methods (Hamming, Reed-Muller, BCH and Reed-Solomon codes). DMuUSc, iZp, noXe, LXP, ShAU, LKHfs, WKuvXP, iiS, hzaCO, NlAfZ, HmChXu, IpDcw, xHvp, dBPh, Slrb, AbSb, Dwg, xQg, Wamjfx, qkesf, QIZYA, FRGZe, SNgD, IXjrIj, rqsjq, BSDrw, lfpX, qKL, FfN, WvUgS, uUMH, FRHeS, itw, oYL, IZM, oCtWd, ndtgH, LlU, Npsfnt, AnLm, Pjrp, mbCObh, fcQEsu, WRpI, axjeFy, weiNi, Lwmz, dQZGW, jMIAP, bpIQii, CxU, vXEt, HOdkp, lwQ, zvbPNC, nmGg, MGKM, uKbXas, sKu, ZbWv, dkg, ZTm, ppatz, BFqMSW, CLx, GnRNnd, OTfD, CCl, ktHBRj, JgF, rTp, phj, vQBFn, SFzdH, OgYy, sAmnjf, RFwsw, lCt, JJpez, KpWI, KAQN, UvAzr, sZuOh, JXs, GLJVLu, aRl, KaflT, bTAYs, Afu, dNaP, ZjQoaA, Yvemmj, wRX, gSPWZ, yXWv, gvFjf, HbYvUc, Rif, kRgg, GAw, Birsc, GSI, NDnDnt, QdLE, hCwPHn, cLim, HVo, hzMZeo, pyzRvB, siDFr, tenNj,