CROSSBOREHOLE TOMOGRAPHY

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ALGEBRAIC RECONSTRUCTION TECHNIQUE (ART) a-forward modeling for travel time calculation b-travel time inversion for velocity model

Science

ALGEBRAIC ITERATIVE RECONSTRUCTION TECHNIQUE (ART)
EXAMPLES OF CROSSBOREHOLE IMAGE RECONSTRUCTION
USING
By
Ramazan GÜNEY
April 2, 2018
Forward & Inverse Modeling

RAY TRACING 128 SHOT 128 RECEIVER 16384 RAYS RAY INTENSITY 16384 CELLS
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Recently uploaded

We report on the discovery of Gliese 12 b, the nearest transiting temperate, Earth-sized planet found to date. Gliese 12 is a bright (V = 12.6 mag, K = 7.8 mag) metal-poor M4V star only 12.162 ± 0.005 pc away from the Solar system with one of the lowest stellar activity levels known for M-dwarfs. A planet candidate was detected by TESS based on only 3 transits in sectors 42, 43, and 57, with an ambiguity in the orbital period due to observational gaps. We performed follow-up transit observations with CHEOPS and ground-based photometry with MINERVA-Australis, SPECULOOS, and Purple Mountain Observatory, as well as further TESS observations in sector 70. We statistically validate Gliese 12 b as a planet with an orbital period of 12.76144 ± 0.00006 d and a radius of 1.0 ± 0.1 R⊕, resulting in an equilibrium temperature of ∼315 K. Gliese 12 b has excellent future prospects for precise mass measurement, which may inform how planetary internal structure is affected by the stellar compositional environment. Gliese 12 b also represents one of the best targets to study whether Earth-like planets orbiting cool stars can retain their atmospheres, a crucial step to advance our understanding of habitability on Earth and across the galaxy.

Gliese 12 b, a temperate Earth-sized planet at 12 parsecs discovered with TES...

Sérgio Sacani

GBSN - Biochemistry (Unit 4) Chemistry of Carbohydrates

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The Bay of Bengal exhibits a diverse and complex topography on its seafloor, characterized by deep trenches, abyssal plains, submarine canyons, seamounts, and volcanic ridges. The topography is influenced by tectonic processes, sediment accumulation from the Himalayas, and river transport. The sediment distribution patterns in the Bay of Bengal are influenced by various factors, including river inputs, ocean currents, and seafloor topography.

Topography and sediments of the floor of the Bay of Bengal

Md Hasan Tareq

There are two types of lymphocytes namely B-cells and T-cells, which are critical for the immune system. In addition, several accessory cells and effector cells also participate. The site of development and maturation of B-cells occurs in bursa fabricius in birds, and bone marrow in mammals. During the course of immune response. B-cells mature into plasma cells and secrete antibodies (immunoglobulins). The B-cells possess the capability to specifically recognize each antigen and produce antibodies (i.e. immunoglobulins) against it.

B lymphocytes, Receptors, Maturation and Activation

Bhanu Krishan

Microbial bio Synthesis of nanoparticles.pptx

Cherry

It should be no surprise that AI is treading a similar path to computing which began with single-purpose machines tasked for payroll calculations, banking transactions, or weapons targeting et al, but nothing more! It took decades for General Purpose Computing to emerge in the form of the now ubiquitous PC. Today, AI is still in a single-purpose/task-specific phase, and we have no general-purpose platforms, but their emergence is only a matter of time! Recent AI progress has seen a repeat of the media debate and alarmist warnings for our computing past, compounded by consequential advances in robotics. In turn, this has promoted numerous attempts to draw biological equivalences defining the time when machines will overtake humans. But without any workable definitions or framework that tend to little more than un/educated guesses. Recourse to IQ measures and the Touring test have proved to be irrelevant, and without a reference framework or formal characterisation, continued discussion and debate remain futile We therefore approach this AI problem from the bottom up by defining the simplest of machines and lifeforms to derive clues, pointers and basic boundary conditions . This sees a fundamental Entropic description emerge that is applicable to both machine and lifeforms. This presentation is suitable for professionals and the public alike, and is fully illustrated by high-quality graphics, animations and, movies. Inevitably, it contains some mathematics that non-practitioners will have to take on trust, but the focus is on defining the key characteristics, parameters, and important features of AI, our total dependence, and the future! Note: A 40 min session for a predominantly ley audience and not all the slides presented here were used on the day. Their inclusion here is in response to those audience members requesting more detail at the end of/during the event.

Quantifying Artificial Intelligence and What Comes Next!

University of Hertfordshire

Mitosis...............................pptx

Cherry

The concepts of plant disease management are primarily centered on identifying the disease and reducing damage or loss below the threshold of economic detriment. Whetzel (1919) was the first to define disease control approaches as Exclusion, Eradication, Protection, and Resistance, with two more methods added later: Avoidance and Therapy (National Science Academy, 1968). Thus, management methods refer to steps done to lower the incidence and intensity of the illness, limit the number of inoculums that originate and propagate the disease, and, eventually, minimize the disease's losses.

PLANT DISEASE MANAGEMENT PRINCIPLES AND ITS IMPORTANCE

TALAPATI ARUNA CHENNA VYDYANAD

PESTS OF SUGARCANE - BORERS BORERS 1. Early shoot borer, Chilo infuscatellus, Crambidae, Lepidoptera Symptom of damage: Deadheart in 1-3 month old crop, which can be easily pulled out, rotten portion of the straw coloured dead-heart emits an offensive odour. A number of bore holes at the base of the shoot just above the ground level. Nature of damage: Caterpillar bores into the central shoot and feeds on the internal tissue. This cause interference in the translocation of plant sap and damage the sugar storing tissues. Egg: Flat-scale like eggs are laid in 3-5 rows on the lower surface of leaves in masses of 4-100. The masses are slightly overlapping like tiles. Larva: Larva is dirty white with five dark violet longitudinal stripes and dark brown head. Pupa: Pupation takes place within the tunnel. Caterpillar before pupating makes a large exit hole in the stem and blocks the opening with silken discs. Adult: Pale greyish brown moth with black dots near the costal margin of the forewings and with white hindwings. 2. Internode borer, Chilo sacchariphagus indicus, Crambidae, Lepidoptera Symptom of damage: Internodes constricted and shortened, with a number of boreholes and fresh excreta in the nodal region. Affected tissues reddened. Nature of damage: Caterpillars attack sugarcane plants after 3 months of planting. They bore into the canes near the nodes; entry holes are plugged with excreta. Entry is generally confined to the first five internodes. Egg: Scale-like white eggs are laid by female moths in batches of 9-11, near the midribs, on leaf sheaths or on stem. Larva: White larva with four violet longitudinal stripes and light brown head. Pupa: Pupation takes place in semi-dried leaf sheath. Adult: Pale brown with white hind wings. 3. Top borer, Scirpophaga excerptalis, Pyralidae, Lepidoptera Symptom of damage: Deadheart in grownup canes, which cannot be easily pulled; deadheart reddish brown in colour; parallel row of shot holes in the emerging leaves and red tunnels in the midribs of leaves; bunchy tip due to the growth of side shoots. Nature of damage: Caterpillars are mainly found in the apical portion of the canes, boring through the growing point and down the upper joints until it reaches the sappy portion of the stem, there it feeds on the tissues and destroys the cane. They also bore into the unfolded leaves preferably into the midrib, mining its way to the base. Egg: Eggs are laid on the lower surface of top leaves in clusters particularly near midribs. The clusters are covered with buff coloured hairs. Larva :Smooth, white or cream coloured with a red coloured mid-dorsal line and yellow head. Pupa: Pupation takes place within the larval tunnel in a chamber with an exit hole constructed by the caterpillar. Adult: White coloured moth (with a buff coloured anal tuft in the abdominal tip of female).

Pests of sugarcane_Binomics_IPM_Dr.UPR.pdf

PirithiRaju

Recent discoveries of Earth-sized planets transiting nearby M dwarfs have made it possible to characterize the atmospheres of terrestrial planets via follow-up spectroscopic observations. However, the number of such planets receiving low insolation is still small, limiting our ability to understand the diversity of the atmospheric composition and climates of temperate terrestrial planets. We report the discovery of an Earth-sized planet transiting the nearby (12 pc) inactive M3.0 dwarf Gliese 12 (TOI-6251) with an orbital period (Porb) of 12.76 days. The planet, Gliese 12 b, was initially identified as a candidate with an ambiguous Porb from TESS data. We confirmed the transit signal and Porb using ground-based photometry with MuSCAT2 and MuSCAT3, and validated the planetary nature of the signal using high-resolution images from Gemini/NIRI and Keck/NIRC2 as well as radial velocity (RV) measurements from the InfraRed Doppler instrument on the Subaru 8.2 m telescope and from CARMENES on the CAHA 3.5 m telescope. X-ray observations with XMM-Newton showed the host star is inactive, with an X-ray-to-bolometric luminosity ratio of log 5.7 L L X bol » - . Joint analysis of the light curves and RV measurements revealed that Gliese 12 b has a radius of 0.96 ± 0.05 R⊕,a3σ mass upper limit of 3.9 M⊕, and an equilibrium temperature of 315 ± 6 K assuming zero albedo. The transmission spectroscopy metric (TSM) value of Gliese 12 b is close to the TSM values of the TRAPPIST-1 planets, adding Gliese 12 b to the small list of potentially terrestrial, temperate planets amenable to atmospheric characterization with JWST.

Gliese 12 b: A Temperate Earth-sized Planet at 12 pc Ideal for Atmospheric Tr...

Sérgio Sacani

The magnetic dynamo cycle of the Sun features a distinct pattern: a propagating region of sunspot emergence appears around 30° latitude and vanishes near the equator every 11 years (ref. 1). Moreover, longitudinal flows called torsional oscillations closely shadow sunspot migration, undoubtedly sharing a common cause2. Contrary to theories suggesting deep origins of these phenomena, helioseismology pinpoints low-latitude torsional oscillations to the outer 5–10% of the Sun, the near-surface shear layer3,4. Within this zone, inwardly increasing differential rotation coupled with a poloidal magnetic field strongly implicates the magneto-rotational instability5,6, prominent in accretion-disk theory and observed in laboratory experiments7. Together, these two facts prompt the general question: whether the solar dynamo is possibly a near-surface instability. Here we report strong affirmative evidence in stark contrast to traditional models8 focusing on the deeper tachocline. Simple analytic estimates show that the near-surface magneto-rotational instability better explains the spatiotemporal scales of the torsional oscillations and inferred subsurface magnetic field amplitudes9. State-of-the-art numerical simulations corroborate these estimates and reproduce hemispherical magnetic current helicity laws10. The dynamo resulting from a well-understood near-surface phenomenon improves prospects for accurate predictions of full magnetic cycles and space weather, affecting the electromagnetic infrastructure of Earth.

The solar dynamo begins near the surface

Sérgio Sacani

Recent observations of galaxy clusters and groups with misalignments between their central AGN jets and X-ray cavities, or with multiple misaligned cavities, have raised concerns about the jet – bubble connection in cooling cores, and the processes responsible for jet realignment. To investigate the frequency and causes of such misalignments, we construct a sample of 16 cool core galaxy clusters and groups. Using VLBA radio data we measure the parsec-scale position angle of the jets, and compare it with the position angle of the X-ray cavities detected in Chandra data. Using the overall sample and selected subsets, we consistently find that there is a 30% – 38% chance to find a misalignment larger than ∆Ψ = 45◦ when observing a cluster/group with a detected jet and at least one cavity. We determine that projection may account for an apparently large ∆Ψ only in a fraction of objects (∼35%), and given that gas dynamical disturbances (as sloshing) are found in both aligned and misaligned systems, we exclude environmental perturbation as the main driver of cavity – jet misalignment. Moreover, we find that large misalignments (up to ∼ 90◦ ) are favored over smaller ones (45◦ ≤ ∆Ψ ≤ 70◦ ), and that the change in jet direction can occur on timescales between one and a few tens of Myr. We conclude that misalignments are more likely related to actual reorientation of the jet axis, and we discuss several engine-based mechanisms that may cause these dramatic changes.

Jet reorientation in central galaxies of clusters and groups: insights from V...

Sérgio Sacani

Application of Mass Spectrometry In Biotechnology

Bhanu Krishan

PESTS OF GREEN MANURE CROPS AND FORAGE CROPS SESBANIA BORERS 1. Sesbania stem borer, Azygophleps scalaris, Cossidae, Lepidoptera Symptom of damage: Drying of sesbania plants. Nature of damage: Stoutly built larva bores into the stem and feeds, the faecal matter getting accumulated at the entrance hole. Egg: Laid in masses attached to the leaflets. Larva: Robust larva of 7 cm length, light brown with a reddish brown head. Pupa: Pupa has spines anteriorly with the help of which it moves up and down inside the tunnel in the stem. Adult: Sluggish yellowish brown moth. 2. Stem weevil, Alcidodes bubo, Curculionidae, Coleoptera Symptom of damage: Drying of the terminal branches or whole plant, lodging of the plants during monsoon seasons; affected stem with numerous bore holes and swelling symptoms. Presence of apodous grub inside the stem. Nature of damage: Grubs riddle into stem and cause thickenings on stem. The growth and vigour of the plants are impaired to a great extent. Egg: Laid on the stem. Grub : Apodous whitish grub. Adult: Reddish brown weevil with white transverse markings on the elytra. LEAF FEEDERS 3. Green semilooper, Pericyma glaucinans, Noctuidae, Lepidoptera Symptom of damage: Defoliation of plants preceding with leaflets damage. Nature of damage: Caterpillar feeds on the leaflets remaining along the ribs of leaves. Larva : Pale green, semilooper with broad yellow lateral stripes. Adult: Dark brown with black lines 4. Green looper, Semiothisa pervelgata, Semiothisa emersaria, Geometridae, Lepidoptera Symptom of damage: Defoliation of plants preceding with leaflets damage. Nature of damage: Larvae feed on the leaves. Egg: Oval greenish eggs laid singly on leaves. Larva : Pale green looper with white lines and when full grown becomes pink with horizontal bands of violet patches dorsally on the abdominal segments. Pupa: Pupates in the soil. Adult: White colour with three dark lines and spots on the wings.

Pests of Green Manures_Bionomics_IPM_Dr.UPR.pdf

PirithiRaju

In this work, we assess the potential detectability of solar panels made of silicon on an Earth-like exoplanet as a potential technosignature. Silicon-based photovoltaic cells have high reflectance in the UV-VIS and in the near-IR, within the wavelength range of a space-based flagship mission concept like the Habitable Worlds Observatory (HWO). Assuming that only solar energy is used to provide the 2022 human energy needs with a land cover of ∼ 2.4%, and projecting the future energy demand assuming various growth-rate scenarios, we assess the detectability with an 8 m HWO-like telescope. Assuming the most favorable viewing orientation, and focusing on the strong absorption edge in the ultraviolet-to-visible (0.34 − 0.52 µm), we find that several 100s of hours of observation time is needed to reach a SNR of 5 for an Earth-like planet around a Sun-like star at 10pc, even with a solar panel coverage of ∼ 23% land coverage of a future Earth. We discuss the necessity of concepts like Kardeshev Type I/II civilizations and Dyson spheres, which would aim to harness vast amounts of energy. Even with much larger populations than today, the total energy use of human civilization would be orders of magnitude below the threshold for causing direct thermal heating or reaching the scale of a Kardashev Type I civilization. Any extraterrrestrial civilization that likewise achieves sustainable population levels may also find a limit on its need to expand, which suggests that a galaxy-spanning civilization as imagined in the Fermi paradox may not exist.

Detectability of Solar Panels as a Technosignature

Sérgio Sacani

INSIGHT Partner Profile: Tampere University

Steffi Friedrichs

In the Nice model of solar system formation, Uranus and Neptune undergo an orbital upheaval, sweeping through a planetesimal disk. The region of the disk from which material is accreted by the ice giants during this phase of their evolution has not previously been identified. We perform direct N-body orbital simulations of the four giant planets to determine the amount and origin of solid accretion during this orbital upheaval. We find that the ice giants undergo an extreme bombardment event, with collision rates as much as ∼3 per hour assuming km-sized planetesimals, increasing the total planet mass by up to ∼0.35%. In all cases, the initially outermost ice giant experiences the largest total enhancement. We determine that for some plausible planetesimal properties, the resulting atmospheric enrichment could potentially produce sufficient latent heat to alter the planetary cooling timescale according to existing models. Our findings suggest that substantial accretion during this phase of planetary evolution may have been sufficient to impact the atmospheric composition and thermal evolution of the ice giants, motivating future work on the fate of deposited solid material.

Extensive Pollution of Uranus and Neptune’s Atmospheres by Upsweep of Icy Mat...

Sérgio Sacani

Cyanobacteria (also known as blue-green algae) are ubiquitous photosynthetic microorganisms found in diverse habitats such as fresh water, marine water, moist rocks, etc. The photosynthetic mode of nutrition makes them significant global oxygen producers along with nitrogen-fixing ability of heterocyst and carbon sequestration. Some cyanobacterial species have the ability to perform a dual mode of nutritional procurement. This unique capability of cyanobacteria to utilize both organic (heterotrophic) and inorganic (autotrophic) carbon sources for energy production and growth is termed as mixotrophy which impart nutritional flexibility and competitive ability to them. Cyanobacterial mixotrophy provides the promising avenues in biotechnological applications such as wastewater treatment, bioremediation, pharmaceuticals, food supplements, biofertilizer, coloring agents, synthesis of bioactive compounds and as an agent for eco-friendly bio-fuels generation, etc Mixotrophically grown cyanobacteria, demonstrate significant potential for efficient and economical applications beyond their conventional agricultural application, thereby offering a versatile and impactful resource for future technological and environmental challenges.

mixotrophy in cyanobacteria: a dual nutritional strategy

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Gliese 12 b, a temperate Earth-sized planet at 12 parsecs discovered with TES...

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Mitosis...............................pptx

PLANT DISEASE MANAGEMENT PRINCIPLES AND ITS IMPORTANCE

Pests of sugarcane_Binomics_IPM_Dr.UPR.pdf

Gliese 12 b: A Temperate Earth-sized Planet at 12 pc Ideal for Atmospheric Tr...

The solar dynamo begins near the surface

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Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits. To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups. Technology For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did. While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis. Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad. Age and Gender When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same. Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers. Race Affects Attitudes As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).

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A report by thenetworkone and Kurio. The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).

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The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands. It’s important that you’re ready to implement new strategies in 2024. Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024. You’ll learn: - The latest trends in AI and automation, and what this means for an evolving paid search ecosystem. - New developments in privacy and data regulation. - Emerging ad formats that are expected to make an impact next year. Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape. If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.

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From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world. With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively. The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage. Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience. See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers See the original article on Forbes here: http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b

5 Public speaking tips from TED - Visualized summary

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Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world. Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance. For individuals, now is the time to pinpoint the skills the future professional will need to thrive in the AI age. Check out this presentation to understand what ChatGPT is, how it will shape the future of work, and how you can prepare to take advantage.

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During this webinar, Anand Bagmar demonstrates how AI tools such as ChatGPT can be applied to various stages of the software development life cycle (SDLC) using an eCommerce application case study. Find the on-demand recording and more info at https://applitools.info/b59 Key takeaways: • Learn how to use ChatGPT to add AI power to your testing and test automation • Understand the limitations of the technology and where human expertise is crucial • Gain insight into different AI-based tools • Adopt AI-based tools to stay relevant and optimize work for developers and testers * ChatGPT and OpenAI belong to OpenAI, L.L.C.

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5 Public speaking tips from TED - Visualized summary

ChatGPT and the Future of Work - Clark Boyd

Getting into the tech field. what next

Google's Just Not That Into You: Understanding Core Updates & Search Intent

How to have difficult conversations

Introduction to Data Science

Time Management & Productivity - Best Practices

The six step guide to practical project management

Beginners Guide to TikTok for Search - Rachel Pearson - We are Tilt __ Bright...

Unlocking the Power of ChatGPT and AI in Testing - A Real-World Look, present...

12 Ways to Increase Your Influence at Work

CROSSBOREHOLE TOMOGRAPHY

1. ALGEBRAIC ITERATIVE RECONSTRUCTION TECHNIQUE (ART) EXAMPLES OF CROSSBOREHOLE IMAGE RECONSTRUCTION USING By Ramazan GÜNEY April 2, 2018 Forward & Inverse Modeling

2. RAY TRACING 128 SHOT 128 RECEIVER 16384 RAYS RAY INTENSITY 16384 CELLS SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> RECEIVERSINBOREHOLE> SHOTSINBOREHOLE>

3. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 1 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

4. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 2 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s 4500 m/s 4000 m/s

5. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 3 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

6. SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 4 2800 m/s 3000 m/s

7. SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 5 2800 m/s 3000 m/s

8. SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 6 2800 m/s 3000 m/s

9. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 7 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

10. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 8 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

11. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 9 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

12. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 10 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

13. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 11 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

14. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 12 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

15. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 13 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

16. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 14 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

17. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 15 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

18. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 16 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

19. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 17 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

20. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 18 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

21. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 19 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

22. ART SEISMIC IMAGE RECONSTRUCTION WEDGE MODEL AVERAGE INITIAL VELOCITY ITERATION 20 SHOTSINBOREHOLE> RECEIVERSINBOREHOLE> 2800 m/s 3000 m/s

CROSSBOREHOLE TOMOGRAPHY

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