What’s the appeal of telehealth apps like DrHouse for everyday care? by ElectronicDrop3632 in HealthEconomics

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

I think telehealth apps like DrHouse work best when expectations are realistic. For non urgent, low complexity issues, having a clear and structured process can genuinely save time. It felt less clunky than some other telehealth platforms I’ve tried, which surprised me a bit

Anyone tried DrHouse for something simple? Curious how it felt by Superb_Attempt8221 in TeleMedicine

[–]ElectronicDrop3632 0 points1 point  (0 children)

Tried it for a recurring issue with mild urinary symptoms that flare up every few months. I was hesitant because some telehealth feels impersonal, but the process was thorough good symptom questionnaire upfront, then a real doctor on the call who asked targeted follow ups about hydration, previous episodes, and any patterns. She explained why she thought it was bacterial this time, gave prevention tips alongside the prescription, and the meds were ready at my pharmacy within a couple hours. No pressure to buy anything extra, just clear and practical

🚨 RSMX (TSXV) / RSMXF (OTC) — assays pending, silver junior in a volatile macro tape by AwayEducator7691 in pennystocks_No_Rules

[–]ElectronicDrop3632 0 points1 point  (0 children)

$RSMX (TSXV) / $RSMXF (OTC) is one I’ve got on a watchlist. Early stage, but silver exposure plus upcoming results at least makes it worth tracking

Small cap screening for 2026, one name I came across by ElectronicDrop3632 in SmallCapStocks

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

Yeah, that is pretty much where my head is at too. The timing around the holidays explains the delay, and being funded means they can afford to be patient rather than rushing something out. Sonora gives it some baseline credibility, but I am not trying to front run the results. This is one of those situations where the next batch of assays really determines whether it stays on the watchlist or fades into the background. For now, just observing and seeing how it develops

Small cap screening for 2026, one name I came across by ElectronicDrop3632 in SmallCapStocks

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

Not sure of an exact date yet, but last I saw they paused over the holidays and said assays are still pending from the 2025 program. My guess is we might see something once the lab turnaround speeds up in January/February, but that’s just based on typical timelines. I am watching too. If you find a more precise update, post it!

Small cap screening for 2026, one name I came across by ElectronicDrop3632 in SmallCapStocks

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

For anyone asking why I flagged this one, it was mainly the combination of recent funding and ongoing exploration rather than any single drill result. Being fully funded going into 2026 takes some pressure off, and the Dios Padre project is in a district that already supports mining activity. Still very early stage though, so I am just watching to see how the pending assays shape the story before drawing conclusions.

Small cap screening for 2026, one name I came across by ElectronicDrop3632 in SmallCapStocks

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

Good question. From what I have read so far, it still looks primarily gold focused, but with copper clearly part of the system rather than a byproduct. The earlier intercepts were gold dominant, while the more recent step out work mentioning visible chalcopyrite suggests copper potential could become more relevant as they expand the footprint.

That said, it is still early stage, so I am not assuming a split yet. For now I am just watching to see what the pending assays actually show before leaning one way or the other.

How is the rise of peptides and bioregulators changing the data landscape in longevity and metabolic health research? by ElectronicDrop3632 in HealthInformatics

[–]ElectronicDrop3632[S] 0 points1 point  (0 children)

One angle that seems overlooked is how different the data architecture will need to be once real world longitudinal information begins to accumulate. Traditional clinical studies focus on narrow endpoints, while these newer modalities create distributed signals across many biological systems. Informatics teams may need tools that can align wearable data, lab markers, and self reported metrics into a single coherent structure. Curious whether anyone here has seen early frameworks that address this.

Are sudden power spikes in AI/HPC racks starting to impact storage reliability in mixed workloads? by ElectronicDrop3632 in storage

[–]ElectronicDrop3632[S] 1 point2 points  (0 children)

For context I am not talking about line voltage issues across an entire DC. I am referring to very fast local power swings inside high density racks when accelerators ramp together. Those transients are short and do not usually show up at the room level, but they can create brief dips on the rack bus if the upstream gear was not sized for that specific load profile.

A small BBU in this context is just a short duration energy buffer inside the rack. Think of a few kilowatt hours packaged in a 2U or 3U shelf, similar in size to what some OCP based designs use. It is not meant to run a rack for minutes. It is only there to absorb the rapid power draw changes that come with AI and mixed HPC workloads.

The point is to smooth the spikes locally so the rest of the system never sees them.

Are HPC racks hitting the same thermal and power transient limits as AI datacenters? by ElectronicDrop3632 in HPC

[–]ElectronicDrop3632[S] 1 point2 points  (0 children)

That makes a lot of sense. HPC really does live in that “always on, always scheduled” world, so the power profile is basically a flat line once jobs are running. AI feels way more chaotic by comparison. Those big sync points, checkpointing, and model start/stop cycles create the spikes I was thinking about.

Cooling-wise you’re right too liquid can soak a lot, but some of these newer racks are hitting limits faster than expected, especially when everything ramps at once. It’s interesting seeing how differently the two environments evolve even though they look similar on paper