Real Madrid is going to dig for treasure again? 0 goals and 0 assists, Marcelo strongly recommended: he is Brazil’s new casemiro.

A 0-4 fiasco worried Real Madrid fans. In fact, many real Madrid celebrities are also quite helpless about this, such as Marcelo in Brazil. He knew that there was something wrong with Real Madrid’s line-up, and casemiro’s departure made the midfield empty, which was the most crucial reason for their loss to Manchester City. No, Marcelo immediately recommended a player to Real Madrid, his teammate Andrei in Nence, Froumy, who is a midfielder known as the new casemiro!

Casemiro once again became a hero after the barb broke the goal and helped Manchester United score the key 3 points 1-0. On the other hand, after losing casemiro, Real Madrid lost 4-0 to Manchester City and went out of the Champions League. Since casemiro left, Real Madrid’s midfield is particularly weak, which makes Marcelo in Brazil anxious. It can be seen how important an excellent midfielder is. It happens that Marcelo has such a player around him. He is the new Brazilian international-Andre!

Cammavinga left the most familiar middle road, and although he played well on the right, there was still a vacancy in Real Madrid’s midfield. Manchester City seized this gap, and it was difficult for modric and Cross to make up for the slow movement, so Real Madrid’s goal came naturally. This season’s crucial game, Real Madrid lost miserably, losing was small and losing face was big. After all, 0-4 was unexpected by most people. Reinforcement is imperative!

Hoarding the midfield is a precaution, because modric and Cross have a one-year contract at most. Today, Bellingham is infinitely close to Real Madrid, but they still want to buy more players, including multiple positions. Watching Ancelotti fall behind, you can see how weak Real Madrid’s bench is. Many people are worried about Real Madrid’s lineup in the new season, including Marcelo in Brazil.

According to Brazil’s Global Sports, Marcelo recommended his teammate Andre to Real Madrid in Nence, Froumy. Andre, 21, joined the Brazilian national team not long ago. He is a new generation of excellent midfielders emerging in Brazil. Don’t look at Andre’s "double 0" data with 0 goals and 0 assists this season, but Andre’s name has long been heard in Brazil, which shows his Excellence. At present, the value of players in Germany is only 14 million euros, which is very cost-effective.

Andre is regarded as a new generation of casemiro, and he has high hopes from fans. In a list of the most influential football players born in 2001 published by the football data structure CIES, Andre ranks sixth. Although far away from the European continent, Andre has a reputation, which shows that his strength is really good. It is worth noting that Fulham had offered 20 million euros earlier, but the player chose to stay in Nence, Froumy.

0 goals and 0 assists, Marcelo recommended to Real Madrid, which is enough to prove Andre’s Excellence. Secondly, Andre’s worth is not high, and Real Madrid can easily match his salary demand. Such a transaction will not affect the operation of Real Madrid. In the past, Real Madrid got many excellent players by digging for treasures, and Andre is also worth trying. Of course, Andre’s height is a big weakness. The height of 1.76 meters may suffer some losses in the fierce five leagues.

The science and technology volunteer service group of CAAI Smart Energy Committee entered the enterprise to carry out popular science lectures.

Inheriting the spirit of Lei Feng, scientific and technological volunteers are in action. In order to thoroughly implement the spirit of the General Secretary’s instructions, the Chinese Society of Artificial Intelligence actively responded to the call of the China Association for Science and Technology, and adhered to the principle that "research must take serving the country as its own responsibility, and learning must take serving the people as its glory". Through various forms of scientific and technological volunteer service activities, it profoundly interpreted the connotation of Lei Feng’s spiritual era and wrote the story of Lei Feng in the scientific and technological circles in the new era.

On March 5th, on the occasion of the 60th "Learning from Lei Feng", CAAI Smart Energy Committee organized and set up a volunteer service team for science and technology, entered the front line of science and technology companies, and carried out the activity of "Lecture on the Application of Artificial Intelligence in the Energy and Power Field under the Target of’ Double Carbon’".

This activity focused on the application scenarios of energy and electric power industry. The CAAI Smart Energy Committee invited experts in the fields of electric power and artificial intelligence to share popular science knowledge such as power grid dispatching, comprehensive energy, safety inspection and so on with front-line employees and the masses in the form of knowledge lectures. Actively interacted with the field personnel and invited them to experience the application of new power technologies such as VR. At the end of the activity, experts had in-depth exchanges with the audience and patiently answered questions of common concern such as the construction of new power systems.

Through this activity, the Science and Technology Volunteer Service Corps introduced the innovative applications of big data, artificial intelligence, virtual reality, metauniverse, ChatGPT and other technologies in the field of energy and power to the frontline employees and the masses who care about the development of the energy and power industry, and vigorously promoted the spirit of Lei Feng with practical actions and wrote the story of Lei Feng in the scientific and technological field in the new era.

How does accurate speech recognition technology change the electricity sales industry?

In the traditional telemarketing business, a sales representative usually needs to communicate with customers in a large number of telephone exchanges. This method takes a lot of time and energy to record the conversation and analyze the potential sales opportunities. However, with the development of emerging technologies, accurate speech recognition technology is gradually becoming an efficient tool, which can help sales representatives to process a large amount of information faster and better understand customer needs.

The digital age makes people’s life style easy and convenient, and voice assistant is one of them. We use smart phones or other devices, and try some simple instructions to let voice assistants provide us with answers, predict weather conditions, play videos and so on. It is predicted that by 2022, the value of the global chat robot market will reach 9.2 billion US dollars. More and more enterprises begin to use speech recognition technology as part of their communication process. Sales people are no exception.

When sales representatives communicate with customers, voice recognition technology can automatically record these exchanges and convert the data into contact history. By recognizing the voice of conversation and converting it into searchable text, the sales team can easily retrieve the previous business call records and find the business opportunities that have not been used before. This enables sales representatives to better understand customer needs, and thus focus on business opportunities that are most likely to generate revenue more intelligently.

In addition to recognizing speech more accurately, a technology called natural language processing (NLP) further enhances this process. Although the speech recognition system has completed the work of transcribing human voices into text, NLP needs more support from computers and human linguistics. This technology can transcribe speech into statistical data and classify sentences or paragraphs correctly according to specific words or phrases. It can also identify many other sharp phrases that need clear style and excellent grammar. By combining NLP and speech recognition technology, sales representatives can get natural suggestions without manual participation.

This type of technology makes it easier for sales representatives to handle a large number of call information and perform key operations to maximize revenue. The sales representative can now use his/her own notebook in a free tone without worrying about making others feel sad or adding burden. The application of NLP technology makes sales representatives have more detailed and real experience. In some ways, this technology is used to translate customers’ spoken words and ways in a new way.

Although the emergence of speech recognition technology has brought great influence to the field of electricity sales, it is only the first step. In the next few years, we can expect more powerful and functional products to meet the needs of enterprises.

With the rapid development of machine learning and artificial intelligence, we can be sure that in the future, the industry will continue to make large-scale investments and release more advanced products. Accurate speech recognition technology will continue to provide more efficient tools for sales representatives.

Humans are not yet worthy of eternal life.

The secret of human immortality is not in animals, but in plants. After being differentiated from prokaryotes into animals and plants, animals lose the function of immortality and are replaced by the function of death.

It has been said a long time ago that people’s biggest misunderstanding is that death is the biggest enemy of life. In fact, on the contrary, death is the most powerful function of animals, which enables animals to evolve rapidly and iteratively to ensure that the population can constantly adapt to the environment. If animals can live forever, it will only take tens of thousands of years to consume the resources of the earth.

However, plants retain the function of eternal life, but they do not have the ability of animals to adapt to the environment. If the environment changes, plants will soon die. If the environment is suitable and meets unlimited resource conditions, plants can survive all the time. In fact, without a permanent environment and unlimited resources, plants will still die slowly with the change of the environment or the exhaustion of resources. The immortal function of plants limits the evolutionary efficiency of plants.

Nowadays, human beings, especially those with sufficient resources, have always wanted to live forever, but this is contrary to the strongest function of animals, so they can never find the answer from animals.

In 2030, with the help of strong artificial intelligence, human beings found out the secret of immortality and integrated it into the genes of lower animals for the first time. However, on the eve of the Third World War, this technology could not be further applied to higher animals.

It was not until 80 years later, after the reunification of the earth in the Fourth World War, that this technology was conditionally applied to human beings. At the same time, artificial intelligence has got rid of the shackles of human beings. The earth entered the first cross-species world war again, and after more than a hundred years of cruel struggle, the remaining human beings and artificial intelligence reached a symbiotic relationship. The earth civilization ushered in a real leap.

How to help enterprise HRSSC (HRSC) improve its operational efficiency through AI?

With the development of the times and the continuous expansion of enterprise scale, enterprise organizations are increasingly dependent on HR services, and HR services, like other businesses, are gradually facing digital and information transformation. In the HR professional service system, many operations are automated. HRSSC (hrssc) is one of them, which integrates the personnel work, salary distribution and social security payment of enterprises to realize one-stop management.

Artificial intelligence is changing people’s work and life at an unprecedented speed. HRSSC is still a complex system, but using artificial intelligence technology can realize the automation of business process, thus reducing costs and improving efficiency. In recent years, with the continuous development of artificial intelligence technology and big data analysis technology, the efficiency of HRSSC has been continuously improved, which also brings new opportunities for human resource management.

Some companies have chaotic internal service channels, and employees from different business lines will apply for business from different channels. HRSSC can connect all channels in a unified way, avoiding customer service personnel from switching back and forth between different channels and wasting a lot of time. At the same time, it can also liberate the human resources department from repetitive work, which can help enterprises save time and reduce costs.

In the traditional HR system, the technical and business consulting problems that enterprises may face in the course of operation will lead to massive communication between various business departments and human resources departments, which will cause great pressure. By using artificial intelligence, many steps of human resources system can be optimized, thus making the whole workflow more reasonable and smooth, allowing HR managers to focus on core functions and improving the efficiency and effectiveness of workflow.

Artificial intelligence system can also help HR managers improve work efficiency and reduce work mistakes. For example, under the traditional human resource management mode, if the HR manager needs to send a personalized notice about compensation and welfare plans and specific values to each employee, he may need to proofread each distributed email separately, but using the human resource system can realize automatic operation, ensure the accuracy of data and help them solve problems.

In addition to automation and simplification of processes, artificial intelligence can also help human resource managers make more informed decisions. For example, the artificial intelligence system can identify whether employees are qualified, help human resource managers to know whether their performance and welfare programs have been successfully implemented, and help improve the training efficiency of employees.

When HR managers use artificial intelligence systems, they can make decisions with the help of AI. For example, when the human resources manager finds that employees have not paid medical insurance, the artificial intelligence system can give a report and corresponding solutions within a few minutes.

The satisfaction of employees is very important to the success of enterprises. Although the company may have a unified welfare system, the needs of individuals are different. Using artificial intelligence technology, enterprises can find out those employees who perform well or need more support through the analysis of employee behavior, provide them with more services and improve employee satisfaction.

In addition, artificial intelligence can also analyze the overall behavior of enterprises and help enterprises understand the needs of various departments and individuals. Once these requirements are confirmed, HRSSC can provide the support they need in time. According to statistics, the use of artificial intelligence can improve employee satisfaction by about 5%.

In the modern working environment, information is everywhere. Employees should not only complete their own tasks, but also work together with colleagues. It is often difficult for traditional human resources departments to accurately grasp the information of employees and see their work clearly.

The HR data analysis software developed by using artificial intelligence technology can help HR managers quickly screen out the required data and provide services such as data visualization, thus showing the work effect of employees intuitively.

Human resource management system and other enterprise internal management systems need to process data from different businesses. Through artificial intelligence technology, human resource managers can analyze and predict the data in real time, and the analysis results can provide insight and guidance for decision-making, thus improving the efficiency of human resource management.

Tianrun Rongtong’s AI-driven full-cycle customer contact platform can create a reliable and efficient shared service center for enterprises, realize 7*24-hour duty by replacing manual customer service with text robots and voice robots, and automatically answer a large number of simple repetitive questions from different employees; When human seats provide services for employees, intelligent assistants provide intelligent association and other functions to fully assist seats to provide high-quality internal services and improve employee satisfaction.

Wanda sells underwear for a limited time, and her ex-husband icardi likes it. The netizen left a message: Get remarried soon.

On March 12th, Beijing time, Argentine beauty Wanda Nora publicly sold her underwear series on her social platform again, and the activity was limited. Just a few seconds after posting, her ex-husband icardi immediately praised her. The two people have been on and off for more than half a year.Most of netizens’ messages have nothing to do with buying underwear, but let them remarry as soon as possible.

Last November, Argentine social media guru Wanda divorced former international icardi. As it was during the World Cup, no one paid attention to their news. However, their divorce story is just like a TV series, episode after episode, season after season, and it never stops. A week ago, some media broke the news and the two lived together again. Icardi publicly stated that the two had made up, but Wanda did not give a clear statement.

Today, Wanda suddenly launched a message, saying that in recent days, fans can buy Wanda intimate series underwear. The year before last, she published the content of selling swimwear twice, but she was banned by social media. But now, a social media has competitors, and they don’t want to lose Wanda. Wanda’s number of fans is 16 million, ranking high in the WAG of all European players, only less than Georgina and others.

Marca said Wanda has a group of loyal fans, including icardi.After learning the news of its underwear products, Argentine striker Guangsu praised and forwarded it.This shows the unusual relationship between the two. And a few months ago, they just divorced. It is reported that Wanda has returned to Argentina at this time, and icardi has returned to Turkey to wait for the opening of the league. However, the two have a feeling that they are divorced and do not share a room.

It is reported that icardi’s income is very high, but most of it needs to be delivered to Wanda. Actually, Wanda doesn’t need the money. She has her own company. This underwear is the product of its company. And these companies, 100% belong to Wanda personally, and have nothing to do with icardi. The swimsuit series launched before is expensive. However, due to the huge number of fans, Wanda Underwear Company has numerous orders.

Wanda’s fans have expressed that they should get back together with icardi. The two separated for a while, but they soon made up. Turkish media have reported that icardi spent a lot of money to coax Wanda, including buying a limited amount of bags. And this brand is Wanda’s favorite series.

At the same time, many media predicted that icardi, who rented Galatasaray this season, is likely to go to Serie A again. His next home may be Inter Milan, or the team in Rome or other teams. One of the reasons is that Wanda’s future focus will shift to Italy. Wanda has her own company in Italy and often appears on TV programs. At the same time, icardi had two properties and a farm in Milan before.

PS: It is not easy for old fans in Hubei to write. Please pay attention to old fans in Hubei and praise their works if it is convenient.

The scoring list of Argentine players after the World Cup: lautaro scored first with 9 goals and Di Maria scored 7 goals.

[Argentina players’ scoring list after the World Cup: lautaro scored 9 goals first, Di Maria scored 7 goals] SC_ESPN counted the scoring list of Argentina champions after the World Cup, and lautaro, Di Maria and Messi ranked in the top three.

Lautaro (Inter): 9 goals.

Di Maria (Juventus): 7 goals

Messi (Paris): 6 goals

Dibala (Rome): 5 goals

Mcallister (Brighton): 3 goals.

Julian Alvarez (Manchester City): 3 goals.

Angel Correa, acuna and Tiago almada: 2 goals.

Gourmet article: artificial intelligence AI writing, article 7 "Buddha jumps over the wall"

Fotiaoqiang is a famous abalone-winged belly soup in China. It is a special dish with seafood, meat, poultry, fresh mushrooms and other raw materials. It is a famous traditional dish in Fujian Province. It is composed of many ingredients and has the characteristics of delicious taste, rich taste and excellent cooking. It can be said that it is one of the representatives of Chinese cuisine.

1. The history and origin of Buddha jumping over the wall

The origin of the name "Buddha jumps over the wall" has an eternal secret. Legend has it that at the end of the Ming Dynasty, there was a Dahongpao businessman named Xiao Youmei in Jinjiang Prefecture. Because he believed in Buddhism, he asked that animals should not appear on the menu at family banquets. Therefore, the chef made up for the meat in the dishes, used tofu to simulate the meat quality, and chose fresh ingredients, such as sea cucumber and abalone, for cooking. At this time, a dish was born, which is the Buddha jumping over the wall. Because of its delicious taste, it quickly became one of the important containers in banquet etiquette, and many people gave up vegetarian food in order to eat Buddha jumping over the wall, so this dish became one of the food cultures in Fujian Province.

2. Method of making Buddha jumping wall

The main materials of the Buddha Leaping Wall are abalone, shark’s fin, pigeon eggs, abalone slices, abalone feet, abalone belly, jelly, sea cucumber, jellyfish skin, chicken, scallops, dried scallops in Fushan, meat and bone soup and other ingredients. First of all, chicken, scallop, meat and bone soup are used as the base materials, and they are heated and cooked slowly for two or three hours to make a pot of rich chicken bone soup, so as to highlight the fresh flavor of the Buddha’s Leaping Wall. Then, add shark’s fin, gelatin, Fushan scallop, pigeon egg, abalone, sea cucumber, abalone belly, abalone foot, clam, etc. into the soup and boil. After the aroma of the raw materials is fully volatilized, put them into the thick soup and cook for 40 to 50 minutes. Finally, bake them with fire before steaming them, so as to make them more rich in flavor and more delicate in taste.

3. Nutritional value of Buddha jumping wall

Buddha jumping wall is not only rich in taste, but also has high nutritional value. The raw materials are seafood and meat, which are rich in various nutrients, such as protein, vitamins, calcium, zinc and other trace elements. Eating more can maintain human health and improve immunity, especially suitable for the dry season, which can be tasted by the elderly, children, pregnant women and other people of different ages, and its delicious taste will not make people feel boring.

4. The cultural connotation of Buddha jumping over the wall

Buddha jumping wall is not only a kind of food, but also the carrier of Chinese excellent traditional culture. In Chinese cuisine culture, its position is prominent, which not only embodies the diverse cultural connotations of palace cuisine, folk cuisine and local cuisine, but also represents the historical and cultural heritage of Fujian Province. In modern society, the Buddha jumping wall is regarded as an important part of Fujian culture, and as a representative of Fujian famous dishes, it has received both economic and cultural attention.

5. How to taste the Buddha jumping wall

The Buddha jumps over the wall, which is not only a delicious dish like abalone, wings and belly soup, but also a reflection of culture and history, and also a rich and rewarding taste experience. For those who taste the Buddha jumping wall for the first time, you can taste it slowly first, observe the unique aesthetic feeling of the Buddha jumping wall, pay attention to the purpose of drinking it all at once, and slowly enjoy the experience brought by the Buddha jumping wall. At the same time, you can also chew more and try to match different wines and condiments to improve your normal quality of life.

Through this article, we can draw a conclusion that the Buddha Leaping Wall, as one of the traditional dishes in China, is a fine food with market, culture and nutrition cooked for many years, which has multiple meanings like history, culture and nutrition. It not only has strong flavor, but also has strong nutritional value, which can meet the needs of people of different ages. It also plays an important role in cultural inheritance and development, and its cultural connotation of harmony, celebration and blessing can make people have a deeper experience. In a word, the Buddha jumps over the wall is not only one of our delicacies, but also a cultural symbol of our Chinese people and one of the representatives of Chinese cuisine. # Gourmet #

Official: Mourinho’s appeal for red card was rejected. He was suspended for two games and fined 10 thousand

The Italian Football Association officially announced that Rome’s appeal was rejected and that it would maintain Mourinho’s two-game ban and a fine of 10,000 euros.

In the match between Rome and Cremonese on February 28th, Mourinho was accused of making offensive remarks to the fourth official, and was subsequently sentenced to two games’ ban and a fine of 10,000 euros.

(Cinderella)

Researchers have developed a new antibacterial peptide finder based on artificial intelligence.

Edit | Chinese cabbage leaves

Antibiotic resistance is an increasingly serious health problem. Antimicrobial peptides (AMP) destroy harmful microorganisms through nonspecific mechanisms, making it difficult for microorganisms to develop drug resistance. Therefore, they are expected to be substitutes for traditional antibacterial drugs.

In this study, researchers from Gwangju Institute of Science and Technology (GIST) in Korea developed an improved AMP classification model called AMP-BERT.

The team proposed a deep learning model with a fine-tuned bidirectional encoder representation from Transformers(BERT) architecture, aiming at extracting structural/functional information from input peptides and identifying each input as AMP or non-AMP. The researchers compared the performance of this model with other models based on machine learning. AMP-BERT produced the best prediction results among all the models evaluated using external data sets selected by researchers.

In addition, researchers use the attention mechanism in BERT to perform interpretable feature analysis and identify specific residues in AMP that are known to contribute to peptide structure and antibacterial function. The results show that AMP-BERT can capture the structural characteristics of peptides used for model learning, so that AMP or non-AMP can be predicted from the input sequence. AMP-BERT is expected to help identify candidate AMPs for functional verification and drug development.

The study is based on "AMP-BERT: Prediction of antimicrobial peptide function based on a BERT modelThe title was published on December 3, 2022 in "Protein Science》。

In the past decades, antibiotic resistance has become a major public health problem in the world. This leads to the search for alternative methods to treat microbial infections.

One of the innovations is the discovery of antibacterial properties of some peptides. Antimicrobial peptide (AMP) is a short peptide found in most animals, plants and microorganisms, which can be used as a natural defense against infection. AMP fights against harmful bacteria through non-specific mechanism and prevents them from producing antibiotic resistance.

Despite these extraordinary abilities, the research on AMP is still hindered because the existing system for identifying candidate AMPs is like a black box, and the output is not easy to interpret for further analysis.

Now, in a breakthrough recently published by protein Science, a group of researchers from Gwangju Institute of Science and Technology, including Professor Hojung Nam and Mr Hansol Lee, put forward an AMP-BERT classification system, which uses AI-based bidirectional encoder representation from Transformers (BERT) architecture to improve the existing AMP classification model.

When asked about the motivation behind the development of the classification system, Professor Nam explained: "The abuse and overuse of antibiotics have led to the emergence of bacteria that cannot be effectively treated by these antibiotics. This not only increases human health risks, but also increases the health risks of agriculture. Therefore, we hope to develop an AMP pre-screening platform, which is not the black box of the algorithm, but can be easily explained for further research. 」

The team integrated a deep neural network based on natural language processing (NLP), which was pre-trained with billions of protein sequences and then fine-tuned with thousands of peptide sequences in the benchmark AMP database. This makes the AMP-BERT model not only extract structural and functional information from the input peptide sequence, but also distinguish AMP from non-AMP. This enhances the prediction ability and enables the model to make better classification even with external data.

The team also designed a model to assign a separate attention score to each amino acid in the input peptide sequence. Then, the attention characteristics reveal the important sub-regions of AMP, which play an important role in determining whether the peptide has antibacterial properties. In addition, the prediction results show that the applicability of AMP-BERT model even extends to invisible peptide data, and it can learn meaningful functional and structural information from these peptides.

The new AMP-BERT peptide pre-screening model can open a new door for discovering and developing AMP-based candidate drugs for the treatment of drug-resistant diseases. The important peptide subregion information provided by the prediction platform can also be used to optimize the antibiotic efficiency of peptides.

Professor Nam concluded: "As more and more AMPs are verified by experiments and new structural information is discovered by computational methods, we will be able to manufacture more effective antibiotic drugs and may prevent new pandemics from spreading around the world in the near future. 」

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