Refined the PDF layout for chapter 3 (ml_workflow.qmd). (#1749)

Author: hzeljko

book/quarto/contents/vol1/ml_workflow/ml_workflow.qmd

@@ -1024,7 +1024,7 @@ class BandwidthCompute:
 
 **Math**:
 
-1.  **Daily data**: `{python} BandwidthCompute.bw_patients_str` patients$\times$ `{python} BandwidthCompute.bw_photos_str` photos$\times$ `{python} BandwidthCompute.bw_mb_per_photo_str` MB/photo = **`{python} BandwidthCompute.bw_daily_gb_str` GB/day**.
+1.  **Daily data**: `{python} BandwidthCompute.bw_patients_str` patients $\times$ `{python} BandwidthCompute.bw_photos_str` photos $\times$ `{python} BandwidthCompute.bw_mb_per_photo_str` MB/photo = **`{python} BandwidthCompute.bw_daily_gb_str` GB/day**.
 2.  **Upload time**: `{python} BandwidthCompute.bw_daily_mb_str` MB/(`{python} BandwidthCompute.bw_upload_mbps_str`/8 MB/s) = `{python} BandwidthCompute.bw_upload_sec_str` seconds ≈ **`{python} BandwidthCompute.bw_upload_hours_str` hours**.
 3.  **The constraint**: If the clinic operates for `{python} BandwidthCompute.bw_clinic_hours_str` hours, uploading this data would require **`{python} BandwidthCompute.bw_bandwidth_pct_str` percent** of the clinic's total operating time, effectively saturating the connection and blocking all other operations.
 
@@ -1132,7 +1132,7 @@ Data collection decisions directly constrain model development: bandwidth limits
   },
   Txt/.style={font=\usefont{T1}{phv}{m}{n}\footnotesize,text=black!90
   },
-  LineA/.style={black!30,line width=1.0pt,{-{Triangle[width=1.0*5pt,length=9pt]}},shorten <=2pt,shorten >=2pt},
+  LineA/.style={black!30,line width=1.5pt,{-{Triangle[width=1.0*5pt,length=9pt]}},shorten <=2pt,shorten >=2pt},
 }
 
 %funnel
@@ -1792,14 +1792,14 @@ class DeploymentEconomics:
 
 - Model runs on centralized GPU servers
 - Inference cost: ~USD `{python} DeploymentEconomics.cloud_cost_per_image_str` per image (cloud GPU time + API overhead)
-- Annual cost: `{python} DeploymentEconomics.n_clinics_str` clinics$\times$ `{python} DeploymentEconomics.patients_per_day_str` patients/day$\times$ `{python} DeploymentEconomics.billable_images_per_patient_str` billable image/patient$\times$ `{python} DeploymentEconomics.days_per_year_str` days$\times$ USD `{python} DeploymentEconomics.cloud_cost_per_image_str` = **USD `{python} DeploymentEconomics.cloud_annual_str`/year**
+- Annual cost: `{python} DeploymentEconomics.n_clinics_str` clinics $\times$ `{python} DeploymentEconomics.patients_per_day_str` patients/day $\times$ `{python} DeploymentEconomics.billable_images_per_patient_str` billable image/patient $\times$ `{python} DeploymentEconomics.days_per_year_str` days $\times$ USD `{python} DeploymentEconomics.cloud_cost_per_image_str` = **USD `{python} DeploymentEconomics.cloud_annual_str`/year**
 - Plus: Network costs for uploading `{python} DeploymentEconomics.image_size_mb_str` MB images = ~USD `{python} DeploymentEconomics.cloud_network_str`/year
 - **Total: ~USD `{python} DeploymentEconomics.cloud_total_str`/year** operational cost
-- Risk: `{python} DeploymentEconomics.cloud_latency_risk_str` ms+ latency breaks clinical workflow; connectivity outages halt screening
+- Risk: `{python} DeploymentEconomics.cloud_latency_risk_str` ms + latency breaks clinical workflow; connectivity outages halt screening
 
 **Option B: Edge Deployment (NVIDIA Jetson)**\index{Edge Deployment!bandwidth constraints}\index{Edge Deployment!economics}
 
-- One-time hardware: `{python} DeploymentEconomics.n_clinics_str`$\times$ USD `{python} DeploymentEconomics.edge_cost_per_unit_str` = **USD `{python} DeploymentEconomics.edge_capex_str`** capital expense
+- One-time hardware: `{python} DeploymentEconomics.n_clinics_str` $\times$ USD `{python} DeploymentEconomics.edge_cost_per_unit_str` = **USD `{python} DeploymentEconomics.edge_capex_str`** capital expense
 - Inference cost: ~USD `{python} DeploymentEconomics.edge_inference_cost_str` per image (electricity only)
 - Annual cost: ~USD `{python} DeploymentEconomics.edge_maintenance_str` maintenance + ~USD `{python} DeploymentEconomics.edge_inference_annual_str` inference electricity = ~USD `{python} DeploymentEconomics.edge_opex_year_str`/year
 - **Total: USD `{python} DeploymentEconomics.edge_capex_str` upfront + ~USD `{python} DeploymentEconomics.edge_opex_year_str`/year**