Chapter 1554: Chapter 1055: Male and Female Peacocks
It sounds simple, but in reality, it’s quite complicated to operate. Although this thod may have misjudgnts, as long as the accuracy reaches a certain level, it can save a lot of funds for R&D and avoid unnecessary investnts.
It’s like there’s a software that can predict all stock fluctuations. It doesn’t need to predict every stock accurately; it just needs the accuracy probability to exceed a certain threshold. Following the software’s guidance, so stocks will earn, and so will lose, but once the software’s prediction accuracy exceeds the break-even point and remains stable above it, the person will always profit without loss.
In fact, the real technical barrier for so pharmaceutical giants isn’t the several drugs already on the market, but the powerful R&D system behind them. The core of this is the database accumulated from past R&D, which can not only prevent new drug R&D from taking wrong detours but also guide new drug developnt in the right direction.
So new pharmaceutical companies invest heavily in research projects, thinking they’ve found a new path, but it’s likely the failed path that those giants walked decades ago. This is why pharmaceutical industry giants are hard to shake.
Unlike drug developnt, typical scientific research projects are not so concentrated but have a decentralized nature. Each drug developnt project has many commonalities, while other dical research topics have very little in common. For example, tumor treatnt and stem cells have very few common points, so such software is extrely difficult to develop, and no one is willing to do it.
This type of software developnt is very challenging, no less so than so heavyweight industrial software.
In fact, Yang Ping once thought of developing such software and read many books on the subject, combining mathematics with biology. Unfortunately, there’s a lack of talent in this area now. If this software were to be developed, a team of over six thousand people would be needed, including excellent programrs, scientific research talents in the dical field, and top mathematical talents.
At the ti, due to the shortage of talent and lack of ti, Yang Ping created a simple process for rough manual judgnt, which he nad the Uncertainty Progressive Advancent Program. Unexpectedly, Little Five and Zhang Lin listened carefully, and they didn’t miss out on these kinds of knowledge. These two acting all superior, but their efforts in learning are diligent.
Yang Ping shook his head and said, “We only have a rudintary manual judgnt process now, which is very troubleso. It requires manually collecting data, verifying, and judging. It works for single experints, but once used systematically, we don’t know if it will be effective. However, I plan to establish a dedicated team for research software to support our dical Science Academy’s research.”
It seems that Professor Yang’s ambition extends far beyond these few laboratories; he wants to establish an advanced super system.
In the history of science, many scientific achievents have co from so laboratories, like the C language, computer systems, etc. At first, they were used as research tools and gradually spread out to beco world-changing research achievents.
For example, the famous Bell Labs, where the C language, C language, and the UNIX operating system all originated.
“If we develop this software in the future, might soone use it to speculate on stocks and get rich?” A graduate student asked, and this non-serious question made everyone laugh.
Yang Ping joked, “Not necessarily; when the UNIX operating system ca out, no one could have imagined it would lead to the Apple phone system. The C language also didn’t foresee it becoming a popular computer language. If I really develop this software, who knows what it might beco in the future.”
The existence of a manual program indicates mastery of the idea behind the thod, which greatly interests Lin Lan.
“When the ti cos, Teacher Lu will et with you and share our manual judgnt process,” Yang Ping said.
Having provided Little Five and Zhang Lin with essential knowledge, Yang Ping sought everyone’s opinion about the developnt of the dical Science Academy, hoping they could speak freely and offer suggestions.
Since the laboratory rged into the dical Science Academy, these researchers have been very pleased, having climbed several steps economically. Besides their basic salary, they receive wages from a dedicated foundation, which allows them to live a worry-free life, enabling them to work diligently and wholeheartedly.
Moreover, their laboratory has beco more independent than before. They have complete control over their research topics without having to engage in ineffective tasks for various evaluations, allowing them to conduct research freely according to their wishes. Now, everyone’s enthusiasm is high.
“We just talked about Bell Labs. Many of its managent experiences are worth learning from, such as flat managent. In the future, we’ll gradually reform our managent structure and establish a scientific and advanced system. If you have any opinions in this regard, feel free to bring them up at any ti.”
“May I make a suggestion?” A doctoral student raised his hand.
Lin Lan noticed this doctoral student wasn’t from the Genetics Laboratory but from the Digital dical Laboratory. She wasn’t sure when many people from that side had gathered here. They might have thought Yang Ping was here to give a lecture and ca specifically to listen.
“Go ahead!” Yang Ping encouraged him.
“Professor, our laboratory is almost entirely male, with very few females. This seriously affects our work. A male-female staff ratio is said to make work less tiring. To increase efficiency, I hope we can recruit so female doctors in the future. This issue has beco quite serious.” The doctoral student said seriously, without a hint of joking.
Yang Ping didn’t take it as a joke either and seriously said, “If it’s that serious, haven’t you brought this up with your director?”
The doctoral student looked innocent, “I did bring it up a few tis, but our director would say, ‘What are you thinking about all day? Can’t you concentrate on your research?'”
This made everyone laugh, especially the girls, who covered their mouths and chuckled. They’ve seen straightforward engineering guys before, but not anyone this blunt, raising such a topic in this setting.
“But in psychology, there’s ample evidence supporting that a male-female staff ratio makes workloads lighter. I’ve checked the literature; there are many credible papers on this. A German psychologist conducted a fifteen-year study on multiple teams and concluded that teams with a certain male-female ratio have work efficiency several tis greater than those of single or nearly single-gender teams. Moreover, teams with a balanced gender ratio have far superior stress tolerance, innovation ability, and harmony levels compared to single-gender or imbalanced-gender teams.” The doctoral student started quoting references and speaking eloquently, as if reporting his own research.
“How about this? Write a review on the impact of gender ratio on team efficiency and submit it to . If it indeed reflects a consensus in psychology, I’ll formally discuss it with your Director He. Not only your lab but all laboratories will try to maintain a golden gender ratio in the future. Of course, it’s hard to achieve since there are fewer female doctors.” Yang Ping felt the doctoral student’s points were valid and not baseless, as he had read many papers on the topic.
“There indeed are fewer female doctors, but our dical Science Academy recruits well. We could attract female doctors from other places, balancing it out,” another male doctor suggested.
“You might balance yours, but other teams would then beco imbalanced. All right, let’s go with that. Since you proposed the suggestion, we’ll take it seriously and treat it with a scientific spirit. Go write a high-quality review and submit it to .” Yang Ping instructed.
The doctoral student who made the suggestion was sowhat at a loss. He didn’t expect Yang Ping to take it seriously, not only accepting his suggestion but also asking him to write a review on the topic. Is Professor Yang really serious about this?
“If you’re interested, you could even use your business ti to start a small project studying the impact of gender ratios on team efficiency and ideally find out what the golden ratio is,” Yang Ping encouraged him.
“I’ve heard that a one-to-one male-to-female ratio doesn’t have high efficiency, with the female slightly less than the male but not too much less. There seems to be a golden ratio,” a girl joined the conversation.
“Why?” Another girl was curious.
This girl explained, “It’s the nature of humans as animals. I read a paper stating that during the mating season of animals, if there are fewer female peacocks than male peacocks, male peacocks strive to display their tails at a very high frequency. If it’s one-to-one or more females than males, the frequency of males displaying their tails is very low. If there’s only one or very few female peacocks, the males won’t like displaying their tails much.”
“You read that kind of paper?” soone asked.
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