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+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_bd743569ec65c4c9a778538c","factory_annotations_excluded":true}},"id":"artifact_view_769104752837bf1862bef689","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_bd743569ec65c4c9a778538c","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"nasa-science-exoplanets-20260813","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"nasa-science-exoplanets-20260813","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"technical_manual"},"parents":["artifact_bd743569ec65c4c9a778538c"],"payload":"\n\n
\n\n\nExoplanets: A Practical Brief\n\n\n\n\n
Exoplanets
A decision brief on what we know, what comes next, and how to support the search for other worlds.
An exoplanet is any planet beyond our solar system. Most orbit other stars. Some are free-floating “rogue planets,” untethered to any star.
\n
Scale changes the question
6,000
confirmed exoplanets, and counting.
NASA’s milestone arrives just over 30 years after the first exoplanets were found. Thousands more candidates await confirmation.
\n
Not one kind of world
Size and mass reveal a remarkable range of compositions.
01
Gas giant
Large, gas-rich planets like Jupiter and Saturn.
02
Neptunian
A category that includes smaller, gas-rich worlds.
03
Super-Earth
Worlds larger than Earth, with varied compositions.
04
Terrestrial
Rocky planets, alongside worlds dominated by water, ice, iron, or carbon.
Observed extremes include lava worlds, puffy planets with the density of Styrofoam, and dense planetary cores.
\n
The habitable zone is a filter, not a verdict
The area around a star where a planet could have liquid water on its surface.
Why search?
Whether life exists beyond Earth is one of the most profound questions of all time. The answer, whatever it is, will change us forever.
A habitable-zone location is a starting point for study. It does not establish that a planet is habitable or inhabited.
\n
Distance makes observation the strategy
1
Transit: watch a planet pass in front of its star and measure the dip in light.
2
Wobble: detect the star’s motion caused by an orbiting planet.
3
Coronagraph: block a star’s intense light to reveal smaller, dimmer planets nearby.
Nearest known example
4 light-years
Proxima Centauri b is still about 4 light-years away. One light-year equals 5.88 trillion miles, or 9.46 trillion kilometers.
\n
Roman expands the observatory toolkit
NASA’s Nancy Grace Roman Space Telescope is scheduled to launch Aug. 30, 2026.
Launch
Begin a new spaceborne observatory mission.
Coronagraph
Test technology that blocks starlight.
Panoramas
Create enormous views of the cosmos.
Discovery
Study exoplanets and planet-forming disks.
Instrument note
A grand-piano-sized starlight blocker
The Roman coronagraph is one of the most complex optical instruments ever built. It will help demonstrate direct-imaging capabilities for future missions.
The mission is also designed to address essential questions about dark energy and astrophysics.
\n
Public value sits in the data infrastructure
Catalog
A continuously updated reference
More than 6,000 confirmed planets, with descriptions, vital statistics, 3D models, and filters by type, discovery method, spacecraft, observatory, or facility.
Participation
Citizen science widens the search
NASA welcomes the public to sift through data. Volunteers have contributed to thousands of important discoveries.
Targeting
Prioritize nearby stars
The Target Star Catalog guides future missions seeking Earth-like exoplanets and signs of life. About 75 percent of stars in the Milky Way are red dwarfs.
The field has grown through spacecraft, ground observatories, improved detection methods, and public engagement.
\n
Recommendation
Treat exoplanet science as a long-horizon public capability, not a one-time milestone.
A
Invest in open, durable data access. Support catalogs, standards, visualization, and public interpretation.
B
Build participation into the program. Connect researchers, educators, and citizen scientists to usable datasets.
C
Plan for technology succession. Use Roman’s coronagraph demonstration to inform future searches for habitable worlds.
Decision lens
Fund the system around discovery.
Confirmed planets are the visible output. The durable public value is the capability to find, compare, explain, and responsibly pursue the next ones.
Reservoir characteristics and effective development technology in typical low-permeability to ultralow-permeability reservoirs of China National Petroleum Corporation.
\n
\n
\n \n\n\n\n
02 / 06
\n
\n
\n
The challenge is not one variable.
\n \n
Low-permeability to ultralow-permeability reservoirs are crucial for increasing reserve volumes and crude-oil production, both now and in the future.
\n
\n
\n
The study addressed two major technical bottlenecks through a comprehensive combination of laboratory, simulation, logging, and field methods.
\n
\n
\n\n\n\n
03 / 06
\n
Start with the reservoir itself.
\n \n
The research built a connected picture of pore structure, fluid movement, fractures, and remaining oil.
\n
\n
01
Characterize
Rate-controlled mercury injection, nuclear magnetic resonance, and conventional logging.
\n
02
Test
Physical simulation and numerical simulation to examine development behavior.
\n
03
Validate
Field practices to connect technical understanding with effective development.
\n
\n\n\n\n
04 / 06
\n
Water flooding must follow the reservoir’s structure.
\n \n
For middle and high water-cut stages, the study established an adjustment mode based on fracture-guided injection and lateral displacement.
\n
\n
Fracture zone
Water is injected along the fracture zone.
\n
→
\n
Lateral displacement
Displacement is organized to improve sweep of the reservoir.
\n
\n
The work also studied the formation and distribution of dynamic fractures, described residual oil, and examined ways to expand sweep volume.
\n\n\n\n
05 / 06
\n
For Type II ultralow permeability, combine reach with stimulation.
\n \n
A development mode combining horizontal wells and volume fracturing was determined, producing a significant improvement in initial single-well production.
\n
\n
Understand
Volume fracturing core theory and optimization design.
\n
Place
Horizontal well trajectory optimization and adjustment.
\n
Connect
Horizontal well injection-production well-pattern optimization.
\n
Adapt
Staged fracturing suited to different reservoir characteristics.
\n
\n\n\n\n
06 / 06
\n
\n
\n
From reservoir understanding to field-scale support.
\n \n
The breakthrough of key technologies for effective development is intended to substantially support production across three major oilfields.
\n
\n
\n
\n
>50million tons per year oil-gas valent weight Changqing Oilfield
\n
40million tons per year oil-gas valent weight Daqing Oilfield
\n
20million tons per year oil-gas valent weight Xinjiang Oilfield
\n
\n
The stated outcomes are the study’s support objectives, not independent production measurements.
What the latest sequence says about direction, turning points, and the difference between one reading and a sustained trend.
BLS series: LNS14000000Unit: Percent
\n
The evidence is a recent monthly sequence
Published observations, July 2024 through December 2025. October 2025 is not reported in the supplied table.
Year
Period
Value
\n
2025
December
4.4
2025
November
4.5
2025
October
-
2025
September
4.4
2025
August
4.3
2025
July
4.3
2025
June
4.1
2025
May
4.3
2025
April
4.2
Year
Period
Value
\n
2025
March
4.2
2025
February
4.2
2025
January
4.0
2024
December
4.1
2024
November
4.2
2024
October
4.1
2024
September
4.1
2024
August
4.2
2024
July
4.2
Read the sequence. The order matters as much as the latest number.
\n
Movement is modest, but not flat
Monthly unemployment rate, percent. July 2024 to December 2025.
\n
Three moments organize the story
The series moves within a narrow range, with a low in early 2025 and a higher late-year reading.
Starting point
4.2
July through November 2024 stays close to 4.1 to 4.2 percent.
Low point
4.0
January 2025 is the lowest published observation in the sequence.
Late-year high
4.5
November 2025 is the highest published observation. December is 4.4.
\n
One observation is not a trend
The latest published value, 4.4, sits above January’s 4.0. But the sequence includes several small reversals and one missing month.
Selected readings, not a forecast
4.0
4.4
4.5
Jan ’25Dec ’25Nov ’25
Useful conclusion: unemployment was higher at the end of the supplied sequence than at its early-2025 low.
\n
Read the direction, then respect the limits.
The sequence points from a stable 4.1 to 4.2 range in late 2024, down to 4.0 in January 2025, then upward to 4.5 in November and 4.4 in December.
This table alone does not establish causation. It shows published observations, not why the rate changed.
\n\n\n\n","provenance":{"content_sha256":"dac0ca74e3ace067341ca751ddfb4bb50d2076dda5786ebdfdbe32ce594bbd5c","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000018-n0007-w12/briefs.jsonl","row_ordinal":3},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_150b62811d19c769623b6406","factory_annotations_excluded":true}},"id":"artifact_view_a9420944cd189952603e7a56","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_150b62811d19c769623b6406","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"libretexts:894c97cc8f84f8a2bc4cc29fc868db2fcecaf25d5dc2b6651d1583cc2bff7f51","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"libretexts:894c97cc8f84f8a2bc4cc29fc868db2fcecaf25d5dc2b6651d1583cc2bff7f51","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"data_story"},"parents":["artifact_150b62811d19c769623b6406"],"payload":"\n\n\n\n\nPower and Efficiency for Particles\n\n\n\n\n\n \n
\n
Power and Efficiency
\n
For particles, machines, and moving systems
\n
\n
9.2
\n
PHYSICS • WORK, ENERGY, AND SYSTEMS
\n\n\n\n
\n
\n
The central idea
\n
Power tells us how fast work happens.
\n \n
Power at any instant is the derivative of work with respect to time.
\n
P = dW / dt
\n
\n
\n
rate
\n
of doing work
\n
\n
More workin the same time means more power.
\n
Same workin less time means more power.
\n
\n
\n
\n\n\n\n
\n
\n
Average power
\n
One relationship, many useful forms.
\n
Work is force times distance. Distance over time is velocity.
\n
Pave = W/t = F·d/t = F·v
\n
\n
\n
\n
work W
\n
time t
\n
velocity v
\n
\n
Choose the form that matches what the problem gives you.
\n
\n
\n\n\n\n
\n
\n
Units and machines
\n
Power is measured in energy per time.
\n
\n
1 watt1 joule per second 1 Newton-meter per second
\n
1 horsepower550 foot-pounds per second
\n
\n
\n
\n
Why motors are rated by power
\n
Gear trains can easily change the torque provided by a motor, but the overall power will not be altered by gearing.
\n
power ≈ force × velocity
\n
\n
\n\n\n\n
\n
\n
Efficiency
\n
Useful output versus input.
\n
Devices with work or power inputs and outputs have losses, such as friction. Energy is always conserved, but heat may not be useful.
\n
η = Wout/Win = Pout/Pin
\n
\n
\n
Input
work or power supplied
\n
→
\n
Output
useful work or power
\n
\n
\n\n\n\n
\n
\n
Efficiency cannot exceed 100%.
\n
Efficiency greater than one would violate conservation of energy. We seek efficiencies as close to one as possible.
\n
Work or power “lost” in a device becomes heat that may build up.
\n
\n
\n
\n
100%
\n
upper limit
\n
\n
\n
useful output
\n
losses as heat
\n
\n
\n
\n\n\n\n
Three applications to solve
\n
\n
01
Car acceleration
A car delivers an average 100 horsepower to the road and weighs 1.2 tons. How long from 0 to 60 mph?
\n
02
Lift power
How much power raises a 1.2 ton car 6 feet in 15 seconds?
\n
03
Air drag
For a Mazda RX7, use drag, frontal area, air density, and max power to find theoretical top speed.
\n
\n
\n Fd = ½ρv²cdA\n Match the equation to the known quantities.\n
\n\n\n\n
\n \n
Power measures the pace. Efficiency measures the share.
\n
Use P = dW/dt or Pave = F·v for rate. Use η = Wout/Win = Pout/Pin for useful transfer.
\n
\n
9.2 • POWER AND EFFICIENCY FOR PARTICLES
\n\n\n\n\n","provenance":{"content_sha256":"c75ec3182e092a28bf28339f0d9d0559a7719306a23f0c740dd48b0926f25b95","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000018-n0007-w12/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_3af91744ed08f8659c542c13","factory_annotations_excluded":true}},"id":"artifact_view_a994c6b49f2a2640de907308","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_3af91744ed08f8659c542c13","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"open-tech-kubernetes-flow-control-22cc5093581b","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-kubernetes-flow-control-22cc5093581b","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"soft_futurist"},"parents":["artifact_3af91744ed08f8659c542c13"],"payload":"\n\n\n\n\nKubernetes API Priority and Fairness\n\n\n\n\n\n
Keeping the Kubernetes API server fair under pressure
\n
API Priority and Fairness, or APF, helps important requests get through when traffic surges.
\n \n \n\n\n\n
The problem with a single ceiling
\n
\n
\n
The API server can limit outstanding work with:
\n
--max-requests-inflight
--max-mutating-requests-inflight
\n
These controls limit volume, but do not ensure that the most important requests are accepted during high traffic.
\n
\n
\n
Why this matters
\n
A flood of requests from one poorly-behaved client can compete with leader election, built-in controllers, and other essential work.
\n
All requests
→
One shared limit
\n
\n
\n \n\n\n\n
APF adds structure to overload
\n
Classify requests, isolate priority levels, queue brief bursts, and dispatch fairly within each level.
\n
\n
1. Classify
FlowSchemas use request attributes to assign each request to a priority level.
\n
2. Isolate
Priority levels maintain separate concurrency limits, so groups cannot starve one another.
\n
3. Fair-queue
Requests in different flows make progress, even when one source sends too much traffic.
\n
\n \n\n\n\n
From request to execution
\n
\n
Incoming request
→
\n
FlowSchema classification
→
\n
Priority level
→
\n
Flow + queue
→
\n
Dispatch
\n
\n
\n
Priority levels divide the combined concurrency represented by the max-inflight flags. Limits can periodically lend and borrow concurrency based on configuration.
\n
Within a level, a flow is identified by its FlowSchema and a distinguisher: the requesting user, the target namespace, or nothing.
\n
\n \n\n\n\n
A concrete protection
\n
The default configuration separates important traffic from noisy traffic.
\n
\n
01
Leader election
Coordination requests retain a path through the server.
\n
02
Built-in controllers
Controller actions are isolated from unrelated request floods.
\n
03
Pods and clients
An ill-behaved Pod cannot prevent the other groups from succeeding.
\n
\n \n\n\n\n
Not every request behaves the same
\n
\n
\n
Seats measure concurrency
\n
One request normally occupies one seat. Some large list requests are estimated to return many objects and occupy more seats.
\n
Watch requests
\n
APF applies to watch. Its seat ends after the initial burst of create notifications, if any. Writes also account for the later notification work.
\n
\n
\n
Long-running requests
\n
Remote command execution and log tailing are examples that are not subject to the APF filter.
\n
When APF is disabled, --max-requests-inflight also does not apply to long-running requests. Watch requests are not subject to that flag when APF is disabled.
\n
\n
\n \n\n\n\n
Enable it, and watch for recursion
\n
\n
\n
Availability
\n
APF is enabled by default. The flag is --enable-priority-and-fairness.
\n
The stable v1 API was introduced in 1.29 and is enabled by default. v1beta3 is also enabled by default and deprecated in 1.29.
\n
\n
\n
Recursive servers
\n
If server A calls B and B calls A, applying priority control to both can cause priority inversions or deadlocks.
\n
Possible solutions include classifying subsidiary calls at a higher priority, exempting them, disabling APF on B, or building B with APF disabled.
\n
\n
\n
kube-apiserver \\\n--runtime-config=flowcontrol.apiserver.k8s.io/v1beta3=false \\\n# …and other flags as usual
\n \n\n\n\n
APF in one picture
\n
\n
\n
Fairness
\n
Protect essential work without rejecting every brief burst.
\n
FlowSchemas classify requests.
Priority levels isolate concurrency.
Queues smooth bursts.
Fair queuing limits starvation.
Exemptions protect critical access.
\n
\n
\n
Administrator takeaway
\n
APF is designed for controllers and clients that respond to failures with exponential back-off. Tune queuing and priority configuration for the balance of memory, fairness, burst tolerance, and latency you need.
A near miss at a live crane exclusion zone, and a practical way to prevent the next one.
\n
\n
01
\n
The lift was stopped before anyone was injured. The conditions that allowed entry still need attention.
\n
\n
\n\n\n\n
What happened at the gate
\n
Two moments show the immediate failure and the wider handover gap.
\n
\n
07:40
\n
\n
South gate
\n
A delivery driver entered the marked crane exclusion zone while a pallet was suspended. The dogger stopped the lift; nobody was injured.
\n
The temporary fence had been moved overnight to admit a concrete truck and was not restored.
\n
\n
08:25
\n
\n
Supervisor interview
\n
The pre-start briefing covered the lift plan but not the changed pedestrian route.
\n
Two subcontractors said the red ground markings were hard to see after rain.
\n
\n
\n
\n 1\n
near miss no injury
\n
\n\n\n\n
Separate the visible failure from the system weakness
\n
\n
\n
Direct barrier failure
\n
The temporary fence was moved and not restored. A driver could enter the exclusion zone.
\n
Control missing at the point of risk
\n
\n
\n
Broader handover problem
\n
The changed pedestrian route was absent from the pre-start briefing. Wet conditions also reduced the visibility of ground markings.
\n
Change not carried through to people
\n
\n
\n
\n A strong response must address both. Fixing only the fence leaves the next change unmanaged.\n
\n\n\n\n
Three response options
\n
The immediate controls are already clear. The choice is how far to extend them.
\n
\n
\n
1. Restore the barrier
\n
Keep rigid barriers in place and move the sign-in point away from the live route.
\n
Strength: directly closes the access point. Limit: depends on reliable shift-change checks.
\n
\n
\n
2. Add delivery control
\n
Use a spotter for deliveries and confirm the route before vehicles enter.
\n
Strength: manages movement at the gate. Limit: relies on people being present and briefed.
\n
\n
\n
3. Combine controls
\n
Keep the physical controls, then make route changes visible in every handover and audit.
\n
Strength: addresses the barrier and the change process. Limit: requires disciplined follow-through.
\n
\n
\n\n\n\n
Recommendation: make the safe route the default, then verify it
\n
\n
\n
\n
Adopt option 3 now
\n
Retain rigid barriers, the delivery spotter and the relocated sign-in point. Add one mandatory handover question: “What changed in the pedestrian route?”
\n
\n
\n
Refresh or replace markings where rain reduces visibility.
\n
Record any unauthorised entry at each shift change.
\n
Keep the review explicit: barrier failure plus handover weakness.
\n
\n
\n
\n
\n 30 days\n
Safety will audit barrier placement at every shift change.
\n
\n
Success means the route is controlled when conditions change, not only when the original lift plan is followed.
\n
\n
\n
\n \n
\n \n
\n \n
\n\n\n\n\n\n","provenance":{"content_sha256":"23581b305b9e0a4b57f89252a5f33a84bd0dc06ca4df4cf0aca5368b92e45eba","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":24},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_760d59ae6ac011e958938d07","factory_annotations_excluded":true}},"id":"artifact_view_b006fb43724d046e5795ac20","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_760d59ae6ac011e958938d07","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"fictional-library-program-report","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"fictional-library-program-report","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"soft_futurist"},"parents":["artifact_760d59ae6ac011e958938d07"],"payload":"\n\n\n\n\nDigital Help Pilot\n\n\n\n
\n\n\n \n
\n
\n
Digital help, made practical.
\n
A four-library pilot shows where guided support works, and where the service model needs a more careful next step.
\n
\n \n
\n\n\n\n
What the pilot delivered
\n
Four neighbourhood libraries. One focused service.
\n
\n
684sessions delivered
\n
25 minbookable appointment length
\n
Feb–Maypilot period
\n
\n
\n
Visitors booked help with online forms, account security, or basic device setup.
\n
The pilot used AUD 96,000 from a one-year inclusion grant.
\n
\n\n\n\n
What participants tell us
\n
\n
\n
72%
\n
said they completed the task they had brought to the session.
\n
A follow-up call reached 238 participants.
\n
\n
\n
The strongest signal is task completion.
\n
\n
61%
concerned government or health services
\n
24%
concerned password or account recovery
\n
65+
participants were more likely to book a second session
\n
1
fixed format, with a clear limit for complex cases
\n
\n
\n
\n\n\n\n
The expansion choice
\n
Scale the reach, without hiding the constraint.
\n
\n
\n
Keep the current model
\n
Retain four sites and the 25-minute appointment. This protects the format that works for simple tasks.
\n Continuity\n
\n
\n
Expand to all eleven libraries
\n
Expansion would require either shorter sessions or two additional part-time specialists.
\n Choice required\n
\n
\n
Staff said the fixed appointment length worked for simple tasks but was too short for identity-document problems.
\n\n\n\n
\n
\n
Recommendation: retain, then test.
\n
Retain the four sites while testing a triage call for complex cases. Use that test to understand which requests need more time before deciding how to expand.
\n
\n
\n
Practical next step
\n
\n
Keep the four-library service in place.
\n
Test a triage call for complex cases.
\n
Use findings to inform any move to all eleven libraries.
\n
\n
\n
\n\n\n\n\n","provenance":{"content_sha256":"0c8bf3fbfaad6e1fed2facc886f0027d58c721807eccb7abeec27224f6dd1246","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":7},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_a383e6c51561401e326db05f","factory_annotations_excluded":true}},"id":"artifact_view_b6bf4d5bb4ed24f44bc2c7e2","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_a383e6c51561401e326db05f","cluster":"artifacts","deck_arc":"criteria_to_tradeoffs_to_decision","lineage_id":"bls-series-prs85006092-2020-2025","narrative_program":"criteria_to_tradeoffs_to_decision","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"bls-series-prs85006092-2020-2025","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"retro_terminal"},"parents":["artifact_a383e6c51561401e326db05f"],"payload":"\n\n\n\n\nUS nonfarm business labour productivity\n\n\n\n\n\n
\n
US nonfarm business labour productivity
\n
A compact read of the latest BLS sequence: direction, turning points, and what the table can and cannot support.
\n \n
Decision frame: treat the latest observation as a signal, not a sustained trend.
\n
\n
BLS / PRS85006092 / UNIT: INDEX
\n\n\n\n
\n
Start with the measurement
\n
Recent published observations, retained as returned by the public API.
\n
\n
\n
\n
SERIES
\n PRS85006092\n
US nonfarm business labour productivity
\n
\n
\n
UNIT
\n Index\n
The table reports annual and quarterly observations.
\n
\n
\n \n
What stakeholders should inspect
\n
\n
01 / DIRECTION
Is the sequence moving higher or lower?
\n
02 / TURNING POINTS
Where does momentum change?
\n
03 / PERSISTENCE
Does one observation become a trend?
\n
\n\n\n\n
\n
The sequence is volatile, not linear
\n
Quarterly observations shown in chronological order.
Annual data improves the broad read. Quarterly data preserves the turning points stakeholders need for timing.
\n
\n
\n\n\n\n
\n
Decision: use a two-speed read
\n
Keep the annual direction in view. Keep the quarterly sequence open before acting on the latest number.
\n
\n
\n
RECOMMENDED INTERPRETATION
\n
The table supports a measured view of direction and turning points. It does not support causal explanation on its own.
\n
\n
\n
LATEST QUARTER
\n
1.6
\n
2025 / 4th Quarter
\n
\n
\n
\n
USE
Annual values for orientation.
\n
CHECK
Quarterly values for persistence.
\n
DO NOT INFER
Causation from this table alone.
\n
\n
BLS series PRS85006092. Unit: Index. The table retains recent published observations exactly as returned by the public API.
\n
\n\n\n\n\n","provenance":{"content_sha256":"751b11beed86244b933079761f90921df007046a59646690efda017e16b91aa6","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000012-n0006-w08/briefs.jsonl","row_ordinal":2},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
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The crystal structure of 1-(4-carboxybutyl)-3-methyl-1H-imidazol-3-ium hexafluoridophosphate
\n
A single-crystal view of a functional ionic liquid, its exchanged anion, and the hydrogen-bonded network it forms.
\n \n\n\n\n
From ionic liquid to crystal structure
\n \n
Ionic liquids are important functional materials applied in catalysis, extraction, liquid crystals and electrochemistry.
\n
\n
ImidazoliumFunctional organic cation
\n
Carboxylic acidDesigned molecular functionality
\n
PF₆⁻Hexafluorophosphate counterion
\n
\n\n\n\n
The exchange reaction
\n
\n
\n
The bromide anion was exchanged by hexafluorophosphate.
\n \n
Commercial 1-(4-carboxybutyl)-3-methyl-1H-imidazol-3-ium bromide was combined with potassium hexafluorophosphate in distilled water.
\n
\n
\n
Reaction inputs
\n
0.01 mol bromide salt 0.01 mol potassium hexafluorophosphate 10 mL distilled water
\n \n
Key result
\n
Br⁻ anions are completely substituted by hexafluorophosphate groups without residual Br⁻ anions.
\n
\n
\n\n\n\n
How colorless crystals appeared
\n
\n
01 · Stir
Reactants were stirred magnetically for about 24 h.
\n
02 · Extract
The mixture was transferred to a separatory funnel and extracted with 10 mL CH₂Cl₂.
\n
03 · Evaporate
The organic phase was placed at room temperature and evaporated slowly.
\n
04 · Grow
After about one week, colorless crystals suitable for single crystal X-ray diffraction were obtained.
\n
\n
No other guest solvent molecules occur in the asymmetric unit.
\n\n\n\n
A triclinic unit cell
\n
\n
\n \n
\n
\n
C₉H₁₅F₆N₂O₂P
\n \n
triclinic, P 1̄ (no. 2)
\n
a = 8.678(8) Å b = 9.085(9) Å c = 10.279(8) Å
\n
α = 84.23(2)° β = 79.02(2)° γ = 62.103(14)°
\n
V = 62.10(1) ų Z = 2 T = 296 K
\n
\n
\n\n\n\n
What the molecule looks like
\n
\n
\n
A carboxyl group connects to the imidazole ring through a twist-arrangement of four methylene groups.
\n \n
The two C–O bond distances are close: 1.254(6) Å for C5–O2 and 1.289(5) Å for C5–O1. This embodies a delocalized state for the carboxyl C=O and C–O bonds.
\n
\n
\n
Refinement details
\n
All H atoms were located at calculated positions.
H atoms were refined isotropically through a riding model.
The hexafluorophosphate group is disordered over two positions with site occupancy ratio of 0.49:0.51[3].
\n
\n
\n\n\n\n
Hydrogen bonds build the network
\n
\n
C–H⋯F
The hexafluorophosphate group and imidazolecarboxylic acid interact through C-H⋯F hydrogen bond with D or R 2 2 (8) style.
\n
O–H⋯O
Two molecules associate through carboxyl groups to form a dimer.
\n
ABAB fashion
Hydrogen bonds connect molecules one by one into a stable 3-dimensional network along b axis.
\n
\n
No classical hydrogen bonds exist in the structure of this compound.
\n\n\n\n
\n
One exchanged anion, one connected structure
\n
Single-crystal X-ray diffraction reveals complete bromide substitution, a disordered PF₆⁻ group, carboxyl dimers, and a stable 3-dimensional hydrogen-bonded network.
\n \n
Centroid distance between adjacent imidazole rings: 8.878(8) Å. No π⋯π interactions are present.
\n
\n\n\n\n\n\n","provenance":{"content_sha256":"9c7dc75c4f3fb229632a6693aed184059662127995fb4821a43bf066decd39e6","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":12},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_88c40b0f637171a828ebcac1","factory_annotations_excluded":true}},"id":"artifact_view_d0559c9f32926d5ea70dcf14","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_88c40b0f637171a828ebcac1","cluster":"artifacts","deck_arc":"concept_to_example_to_recap","lineage_id":"open-tech-airflow-logging-architecture-90c0c8cf2e4b","narrative_program":"concept_to_example_to_recap","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"open-tech-airflow-logging-architecture-90c0c8cf2e4b","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"playful_geometric"},"parents":["artifact_88c40b0f637171a828ebcac1"],"payload":"\n\n\n\n\nAirflow Logging and Monitoring\n\n\n\n
\n \n \n \n
\n
Airflow Logging & Monitoring
\n
How Airflow records events, captures metrics, and routes operational signals.
\n
\n \n\n \n \n
\n
One architecture, three kinds of signal
\n
Airflow supports several logging and monitoring mechanisms across its running components.
\n
\n
\n Web server\n
Produces logs for the Airflow web interface.
\n
\n
\n Scheduler\n
Produces logs while coordinating workflows.
\n
\n
\n Workers\n
Produce logs while running tasks.
\n
\n
\n
The logging configuration must be available to all three processes.
\n
\n \n\n \n
\n
\n
Start local: fast feedback
\n \n
\n
\n
\n
By default, Airflow logs to the local file system.
\n
This includes logs from the web server, Scheduler, and Workers running tasks.
\n
\n
\n
Best fit
\n
Development environments and quick debugging.
\n \n
\n
\n
Local files keep the first debugging loop simple. They are the default, not the only option.
\n
\n \n\n \n \n
\n
Cloud storage changes the destination
\n
\n
\n
Community-contributed task handlers support cloud storage such as:
\n
\n AWSGoogle CloudAzure\n
\n
\n
\n
Configuration is shared infrastructure
\n
Specify logging settings in the Airflow Configuration file. It needs to be available to the Web server, Scheduler, and Workers.
\n
\n
\n
\n
Customize per component through the configuration file, or use advanced logging configuration for more control.
\n
\n
\n \n\n \n
\n
Production: collect, then explore
\n
For production deployments, the notes recommend separating collection from the systems used to search and understand signals.
\n
\n
\n
Airflow
Logs and metrics
\n
\n \n
\n
FluentD
Capture and send logs
\n
\n \n
\n
Destinations
ElasticSearch or Splunk
\n
\n
\n
\n Metrics path\n StatsD → Prometheus\n
\n
\n \n\n \n \n
\n
From default to dependable
\n
\n
\n
01
\n
Develop
\n
Use local file logging for quick debugging.
\n
\n
\n
02
\n
Configure
\n
Make shared settings available to every Airflow process.
\n
\n
\n
03
\n
Operate
\n
Use FluentD for logs and StatsD for metrics in production.
\n
\n
\n
\n
Next step: read the Airflow documentation on configuring task logging and advanced logging configuration.
\n
Licensed under the Apache License, Version 2.0.
\n
\n
\n \n \n
\n\n\n","provenance":{"content_sha256":"bbf4dab58b1f5d99f2b24eafceb8565cd0e445c8ec7f473b0f9bab5356282338","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000025-n0025-w24/briefs.jsonl","row_ordinal":9},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
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What does electronic retailing make possible?
\n
E-tailing expands convenience, reach, and information. It also introduces costs, distance, and trust challenges.
\n
\n AdvantagesDisadvantages\n
\n
01 / 08
\n\n\n\n
One channel, two sides
\n \n
\n
\n
+
\n
The upside
\n
Retailers can reach beyond their immediate market area and let consumers shop when and where they want.
\n
\n
\n
−
\n
The trade-off
\n
The online channel requires recurring investment, while making some human parts of shopping harder to reproduce.
\n
\n
\n
02 / 08
\n\n\n\n
Reach is the first advantage
\n
A physical store is bounded by location and hours. An online storefront changes both boundaries.
\n
\n
Immediate market area
→
\n
Broader consumer reach
→
\n
Shop when and where you want
\n
\n
\n
Electronic retailing makes the retailer more convenient, regardless of actual store locations or hours.
\n
\n
03 / 08
\n\n\n\n
Digital operations can extend the store
\n
\n
\n
01
\n
Fulfillment
\n
Orders can pull from reserve inventory across the distribution network.
\n
\n
\n
02
\n
Visibility
\n
Shoppers get product information, accurate inventory tracking, and current promotional offers.
\n
\n
\n
03
\n
Service
\n
Secure transactions and direct access to information can elevate customer service.
\n
\n
\n
04 / 08
\n\n\n\n
Every transaction leaves information behind
\n
\n
\n
“A tremendous amount of information for the retailer.”
\n
That information can be analyzed to adjust operations or deployed to develop CRM initiatives with shoppers.
\n
\n
\n
Data → adjustment
Improve operations as patterns emerge.
\n
Data → relationship
Create customized offers and deepen customer relationships.
\n
\n
\n
05 / 08
\n\n\n\n
The online experience has limits
\n
E-tailing may be effective transactionally, but it does not recreate every part of in-store shopping.
\n
\n
Less sensory
Products appear on a two-dimensional screen. They cannot be touched, handled, tried on, or sampled.
\n
Less discovery
Online merchandising may make it harder to cross-sell complementary items and expand the shopping basket.
\n
Less guidance
High-consideration purchases may lack the salesperson support, recommendations, add-ons, or extended warranties shoppers prefer.
\n
\n
06 / 08
\n\n\n\n
Convenience can shift work to the shopper
\n
\n
\n
The friction
\n
An incorrect purchase is not simply handed back across a counter.
\n
\n
\n
The conditions
\n
\n
Returns may be limited to a specific time period.
\n
Items may need to be in original packaging.
\n
Shipping or restocking may create an added cost.
\n
\n
\n
\n
These restrictions can become detractors and create a negative shopping experience.
\n
07 / 08
\n\n\n\n
Competitive advantage depends on trust
\n
\n
\n
What retailers must sustain
\n
\n
Web development and optimization
\n
Inventory control and order fulfillment
\n
Data security and accurate updates
\n
\n
These are recurring costs, not one-time costs.
\n
\n
\n
What shoppers must be willing to share
\n
\n
Payment information
\n
Personal information for ongoing marketing
\n
Confidence that privacy is respected
\n
\n
\n
\n \n
If security and privacy are not managed well, they can undermine e-tailing efforts.
\n
Source: “Advantages and Disadvantages of Electronic Retailing,” Patrick Williams, Lumen Learning. CC BY: Attribution.
What the latest open-data snapshot shows, and how to read the series.
\n WORLD BANK INDICATOR · SE.SEC.ENRR\n
\n
\n\n\n\n
\n
\n
?
\n
What changed in the latest reading?
\n
\n
\n
104.144660949707
\n
The 2024 value is slightly below the 2022 and 2021 readings in this six-year snapshot.
\n
\n
Indicator: School enrollment, secondary (% gross)
\n
\n
\n
\n
\n\n\n\n
The reported series, year by year
\n
Brazil · World Bank indicator SE.SEC.ENRR · School enrollment, secondary (% gross)
\n \n
Reported value (% gross)
\n
\n\n\n\n
How to read “% gross”
\n
\n
100+
\n
\n
A gross enrollment ratio compares enrollment in secondary education with the official school-age population for that level.
\n \n
Because the measure is gross, the reported ratio can be above 100. The values in this snapshot should be read as the indicator’s reported percentage, not as a count of students.
\n
\n
\n
\n\n\n\n
What this snapshot can support
\n
\n
Track
Use the same indicator and definition to follow movement across reported years.
\n
Compare carefully
Keep the measure visible when discussing values, especially the “% gross” label.
\n
Stay precise
Describe the observed series without assigning causes that are not present in the source.
\n
\n
\n\n\n\n
The clear takeaway
\n
\n
Brazil’s reported secondary-school enrollment ratio stayed near 104 to 106 across the six listed years.
\n
2024: 104.144660949707
Indicator: School enrollment, secondary (% gross)
\n
\n
\n\n\n\n\n","provenance":{"content_sha256":"c987e304616145e6c0938452d4f549f503fccc25077bab835dc7b1dec563063b","dataset":"local/artifact-briefs","physical_locator":{"kind":"jsonl","path":"data/runs/artifact-html-calibration-50-v2-2026-08-13/waves/wave-o000000-n0002-w01/briefs.jsonl","row_ordinal":1},"revision":"artifact-source-inventory-50-v2-2026-08-13"},"schema_version":"locus.item/v1"}
+{"annotations":{"artifact_training_view":{"canonical_artifact_id":"artifact_a777a092c70f3e586f5cb9be","factory_annotations_excluded":true}},"id":"artifact_view_effb18d2bff091fd4974ce65","meta":{"artifact_type":"slides","canonical_artifact_id":"artifact_a777a092c70f3e586f5cb9be","cluster":"artifacts","deck_arc":"context_to_options_to_recommendation","lineage_id":"nasa-science-climate-evidence-20260813","narrative_program":"context_to_options_to_recommendation","schema_version":"locus.artifact/v1","shape":"artifact_training_view","split_group":"nasa-science-climate-evidence-20260813","title_archetype":"choose_best_fit","training_view":"annealing_html","variant_id":"canonical","visual_system_id":"data_story"},"parents":["artifact_a777a092c70f3e586f5cb9be"],"payload":"\n\n\n\n\nEvidence of Rapid Climate Change\n\n\n\n\n\n
Evidence of rapid climate change
Earth is warming at an unprecedented rate. Human activity is the principal cause.
\n\n\n\n\n\n
The signal is clear across time
\n
Earth’s climate has changed throughout history. The current warming is happening at a rate not seen in the past 10,000 years.
Most earlier shifts were linked to small variations in Earth’s orbit. The current warming trend is clearly the result of human activities since the mid-1800s.
ice-age cycles10,000 years agotoday
\n
Earth has experienced eight cycles of ice ages and warmer periods in the last 800,000 years. The last ice age ended about 11,700 years ago.
\n\n\n\n
Human activity changed the atmosphere
\n
“Since systematic scientific assessments began in the 1970s, the influence of human activity on the warming of the climate system has evolved from theory to established fact.”
Intergovernmental Panel on Climate Change (IPCC)
\n\n
Ice cores and modern direct measurements show that atmospheric CO₂ has increased since the Industrial Revolution.
\n\n\n\n
Independent records converge
Satellites, instruments, ice cores, tree rings, ocean sediments, coral reefs, and sedimentary rocks all reveal a changing climate.
\n
10×
Faster warming
Current warming is occurring roughly 10 times faster than the average rate after an ice age.
250×
Faster CO₂ increase
CO₂ from human activities is increasing about 250 times faster than after the last Ice Age.
90%
Extra energy in the ocean
The ocean stores most of the extra energy accumulated in the Earth system.
\n
Scientific evidence for warming of the climate system is unequivocal.
\n\n\n\n
The planet is responding in many places
\n
Global temperature
2°F
About 1°C since the late 19th century. Most warming occurred in the past 40 years.
Ocean warming
0.67°F
Top 100 meters warmed since 1969. That is 0.33°C.
Sea level
8 in
About 20 centimeters in the last century. The recent rate is nearly double.
\n
Ice sheets
Greenland lost an average of 279 billion tons of ice per year between 1993 and 2019. Antarctica lost about 148 billion.
Glaciers and snow
Glaciers are retreating almost everywhere. Northern Hemisphere spring snow cover is decreasing and melting earlier.
Arctic sea ice
Both extent and thickness have declined rapidly over the last several decades.
\n\n\n\n
Some risks are accelerating together
\n
Extreme events are increasing in frequency
In the United States, record high temperature events have increased while record low events have decreased since 1950. Intense rainfall events are also increasing.
Ocean acidification is increasing
Surface ocean acidity has increased about 30% since the beginning of the Industrial Revolution. The ocean absorbs 20% to 30% of human-caused CO₂ emissions.
\n\n\n\n
What can a practical response prioritize?
The evidence points to a response that reduces the cause while preparing for changes already underway.
\n
01
Measure
Use long-running observations from satellites, instruments, ice cores, and ecological records.
02
Cut emissions
Prioritize actions that reduce carbon dioxide and other heat-trapping gases.
03
Protect water
Plan for warmer oceans, rising seas, changing snow, and glacier retreat.
04
Reduce exposure
Prepare communities for heat, intense rainfall, flooding, and ecosystem disruption.
05
Review
Track outcomes and update the plan as new measurements arrive.
\n\n\n\n
Recommendation: act on the evidence now
\n
Adopt a measured, two-track climate plan.
Reduce greenhouse-gas emissions, with carbon dioxide as a central priority.
Build resilience to heat, flooding, sea-level rise, shrinking ice, and changing water conditions.
Use the same indicators to measure progress and revisit decisions regularly.
Why this is the practical choice
The evidence is not a single measurement. It is a consistent pattern across atmosphere, ocean, cryosphere, and biosphere.
Scientific evidence for warming of the climate system is unequivocal.
The decision is to reduce avoidable risk while preparing for observed change.