skyzhou06/LifeAudioSingleTurnStreamingCoT huggingface dataset:
of the labors compared with the last few years is, uh, relatively limited. So, we have to get more people on board with us, uh, prepared for the Q4. And also, be- because, uh, uh, we are facing, uh, some extreme weather according to the forecast, uh, for this winter. So, we're prepared for our winter equipment, uh, a little, a little bit early. And, uh, it's a full preparement in Q3. Uh, that's the reason why, why we, and a little, a little cost has been increased in our operational cost, but it is one-off investment in the winter equipment and also in the labor recruitment cost. inaudible And, uh, uh, I can give you a rough, uh, picture of the first quarter, uh, prof, uh, gross profit margin. We expect the margin will be better than this quarter. Thank you. Got it. Thank you. That's helpful. Um, one more, if I may. Can you sort of talk a little bit more about the multi-city deployment? Um, what's your go-to-market strategy there? Like how do you select which, which city, I'm not, I'm sorry, not multi-city, multi-service, uh, which cities get the multi-service, and, and how do you, how do you onboard some of your workers onto that platform? Uh, for multiple jobs completed, and, uh, also we consider a multi-scenario deployment, actually, that we, this is a national-wide, uh, strategy. And we basically will provide, uh, for our workers for multi-job opportunities. But for these workers, possibly, and, uh, this does not have this kind of skill or capability, so we have online training system and the schedule, uh, equipped with inside purchase. So with these two systems, we'll help them to adapt them to the new job, uh, opportunities and help them to get the income, uh, more income. Uh, besides of that, I know we have, uh, called this, um, uh, foreign language. Screen system. Yeah. We have a screen system on Quhuo platform. This screen system will help to record and, uh, uh, this, uh, this personnel, and their qualification, and their skill set, and their work record in the system. And we use a kind of like, the algorithms to help us to identify and match the people to the right jobs. And when these people in the system being matched and we will encourage them and provide them with the training program, and, uh, some kind of encouragement, and they will be better, easier, and also be encouraged, uh, to work in the new job opportunities. That's how we can, uh, uh, keep, uh, the more workforce in our platform to, uh, have, uh, more job opportunities and increasing about 28% quarter-over-quarter. Yeah, thank you. Okay, thank you. That's it for me. There are no further questions at this time. Ladies and gentlemen, that does conclude our conference for today. Thank you for participating. You may now all disconnect.