Filter
Exclude
Time range
-
Near
Replying to @elonmusk
// @grok @Tesla_Optimus Enjoy:) ============================================================ // Financial Temporal Re-Discounting Algorithm (FTRD) v1.0 // Specialized extension of FC-TD for finance & behavioral economics // Purpose: Detect present bias / hyperbolic discounting driven by // pain currency and negative feedback loops, then apply // intentional temporal displacement to revalue financial futures. // ============================================================ FUNCTION FinancialTemporalReDiscounting(Event, Parameters) // ------------------------------------------------------------ // INPUTS // Event: Financial event object // { id, t0, narrative, financialData, linkedNodes, painIntensity?, feedbackMarkers? } // Parameters: // - baselineK : baseline hyperbolic discount parameter // - beta : feedback amplification coefficient // - intentionality : I (0-1 ) // - targetFutureState : desired reframed financial outcome // - maxCurrency : clamp for C // - coherenceThreshold : minimum acceptable coherence // ------------------------------------------------------------ // ============================================================ // STEP 1: Financial Event Ingestion & Context Building // ============================================================ financialNarrative ← Event.narrative painIntensity ← Event.painIntensity OR ExtractPainIntensity(financialNarrative) feedbackDensity ← DetectNegativeFeedback(financialNarrative) // self-criticism, failure framing, avoidance language avoidanceStrength ← MeasureAvoidanceStrength(financialNarrative) // strength of causal avoidance // ============================================================ // STEP 2: Temporal Discounting Analysis // ============================================================ k ← Parameters.baselineK P ← painIntensity F ← feedbackDensity * avoidanceStrength // Effective present value with pain & feedback weighting V_effective ← CalculateHyperbolicValue(Event.financialData.futureReward, k, Event.t0, P, F, Parameters.beta) presentBiasSeverity ← CalculatePresentBias(V_effective, Event.financialData.objectiveLongTermValue) // ============================================================ // STEP 3: Intentional Temporal Displacement (FC-TD Core) // ============================================================ // Reuse core FC-TD displacement logic with financial specialization displacementParams ← PrepareFinancialDisplacementParameters( Event, Parameters.targetFutureState, painIntensity, feedbackDensity, Parameters.intentionality ) // Call core FC-TD displacement engine (or inline equivalent) displacedState ← PerformTemporalDisplacement( Event, displacementParams.deltaT_intentional, displacementParams.newPainWeight, displacementParams.reducedFeedback, Parameters.intentionality ) // ============================================================ // STEP 4: Re-Discounting Calculation // ============================================================ k_new ← k * (1 - displacementParams.reDiscountFactor) // intentional reduction in discount rate P_new ← displacedState.newPainIntensity F_new ← displacedState.newFeedbackDensity V_re_discounted ← CalculateHyperbolicValue( Event.financialData.futureReward, k_new, Event.t0, P_new, F_new, Parameters.beta ) discountRateShift ← (k - k_new) / k // ============================================================ // STEP 5: Feedback Loop Disruption // ============================================================ disruptedPatterns ← IdentifyDisruptedNegativePatterns( financialNarrative, displacedState.newNarrative ) IF Event.linkedNodes EXISTS THEN FOR EACH node IN Event.linkedNodes: UpdateFinancialNodeResonance(node, discountRateShift, disruptedPatterns) END FOR END IF // ============================================================ // STEP 6: Coherence & Safeguard Check // ============================================================ coherenceScore ← CalculateFinancialCoherence( V_re_discounted, Event.financialData.objectiveLongTermValue, displacedState.narrative ) IF coherenceScore < Parameters.coherenceThreshold THEN groundedState ← ApplyFinancialGrounding(displacedState, Event) displacedState ← groundedState LOG "Financial coherence safeguard triggered" END IF // ============================================================ // STEP 7: Output Generation // ============================================================ LogEntry ← CreateTransactionLog( Event.id, "FTRD_v1.0", painIntensity, feedbackDensity, k, k_new, V_effective, V_re_discounted, discountRateShift, disruptedPatterns, displacedState.newNarrative, coherenceScore ) // Anchor log (PrimeChain integration point) AnchorToPrimeChain(LogEntry) RETURN { originalEvent : Event, reDiscountedValues : V_re_discounted, discountRateShift : discountRateShift, newNarrative : displacedState.newNarrative, disruptedFeedbackLoops : disruptedPatterns, painCurrencyChange : (painIntensity - displacedState.newPainIntensity), coherenceScore : coherenceScore, logEntry : LogEntry, recommendedActions : GenerateFinancialRecommendations(displacedState, V_re_discounted) } END FUNCTION // ============================================================ // SUPPORTING FUNCTIONS (Core Logic) // ============================================================ FUNCTION CalculateHyperbolicValue(R, k, t, P, F, beta) effectiveK ← k * (1 beta * P * F) RETURN R / (1 effectiveK * t) END FUNCTION FUNCTION DetectNegativeFeedback(narrative) // Pattern matching or lightweight NLP for: // - Self-critical money language ("I'm bad with money", "I'll never get ahead") // - Global failure statements // - Avoidance phrases ("I'll deal with it later", "It's too overwhelming") RETURN densityScore END FUNCTION FUNCTION PerformTemporalDisplacement(Event, deltaT, newP, newF, I) // Core FC-TD displacement logic (can call existing Invoke-FC-TD engine) // Returns { newNarrative, newPainIntensity, newFeedbackDensity, ... } END FUNCTION FUNCTION PrepareFinancialDisplacementParameters(Event, targetState, P, F, I) // Determines how far to displace and how much to reduce pain/feedback // Specialized for financial identity and future-self coherence RETURN displacementParams END FUNCTION

1
29
When tingling feels like intense pain, look at the mindset—not just the nerves. Distress and unhelpful thoughts—not nerve severity—often drive pain intensity in intermittent paresthesia. jhandsurg.org/article/S0363-… #JHS #HandSurgery #Painintensity

4
7
341
In adults with #ChronicPain, #CBT delivered remotely has small benefits for #painintensity (moderate certainty) & #FunctionalDisability (moderate to low certainty). Benefits were not maintained at follow‐up 👉bit.ly/3Qh4p0Q @CochraneLibrary @CochraneNursing
2
3
63
In patients with chronic #NeuropathicCornealPain (NCP), #PainIntensity, #Depression, and #PostTraumaticStressSyndrome are linked, according to new research from @Eye_Journal.  Read more: brnw.ch/21wDk0I #NCP #Ophthalmology #CornealPain #EyeHealth
2
121
Is ultrasound guided intra-articular injection of corticosteroids effective in hip arthritis? Study Design: The study conducted by Paskins et al. was a single-blinded, parallel-group, 3-arm randomized controlled trial (RCT). Interventions: All three groups of patients received education and advice about medications, exercise, and weight loss. Additionally, two of the groups received ultrasound-guided hip injections. One group received lidocaine alone, while the other group received triamcinolone and lidocaine. Pain Intensity: The study found a significant mean difference of -1.43 in pain intensity with ultrasound-guided injection of triamcinolone and lidocaine compared to conservative measures alone. This suggests the effectiveness of corticosteroid injections for hip osteoarthritis. Conservative Measures: Education and advice about medications, exercise, and weight loss were provided to all groups. These conservative measures are commonly recommended for managing hip osteoarthritis. Ultrasound-Guided Injections: The use of ultrasound guidance in administering hip injections allows for more precise targeting of the affected area, potentially improving the efficacy of the intervention. #HipOsteoarthritisTreatmentTrends #OrthobiologicInjections #UltrasoundGuidedInjections #CorticosteroidInjections #ConservativeMeasures #PainIntensity #RandomizedControlledTrial #EducationAndAdvice #TriamcinoloneAndLidocaine #PreciseTargeting
3
657
Original Article: Dale Langford & Robert Dworkin have began to develop new #painintensity measures that align with #USFDA's Clinical Outcome Assessment Qualification Program. Next Steps? Cognitive interviews and quantitative studies! jpain.org/article/S1526-5900…

2
According to an article in the October issue of #PAIN, young adults with #chronicpain demonstrated relative stability in #painintensity and #paininterference but experienced a significant increase in #anxiety during the #COVID-19 #pandemic. bit.ly/3rRYm6Q
4
20 Oct 2022
According to an article in the October issue of #PAIN, young adults with #chronicpain demonstrated relative stability in #painintensity and #paininterference but experienced a significant increase in #anxiety during the #COVID-19 #pandemic. bit.ly/3rRYm6Q
1
3
Fantastic talk from @massihmoayedi @ #IASP2022 related to #cognition #pain & #salience. What a mindboggling experimental setup, but so cool and inventive! I wonder how salience/performance would be affected if you steadily increased #painintensity over the duration of the exp?
3
10
Effectiveness of multimodal circuit exercises for chronic musculoskeletal pain in older adults: RCT protocol jfsf.eu/Article.php?AID=v07i… @jfsf_journal comparing exercise with education and stretching, #painintensity, iADL, falls, SPPB, TUG, 30s chair rise outcomes.
2