Big Wave Research Articles

Research on Financing Risk Control of Vanke Group Under the Background of New Real Estate Model

With the continuous development of new urbanization in our country, the relationship between housing demand and supply of our people is also changing, and the country is also introducing corresponding new policies. In April 2024, the state issued a comprehensive study of the policy measures to digest the stock of real estate and optimize the incremental housing, a time the property market ushered in a big wave of good, which undoubtedly shows that the implementation of the policy will promote the people s livelihood in our country -- live to high-quality development. However, in the development of the market, there are still problems such as imperfect market order and insufficient theoretical research. The characteristics of real estate enterprises require huge funds, and their characteristics of high leverage also reveal many financing risks. This paper takes China s leading real estate enterprise -- Vanke Group as a case, analyzes the risks arising in its financing, and finally puts forward corresponding suggestions on its risks.

Multimodal Large Language Models to Solve Image-based Diagnostic Challenges: The Next Big Wave is Already Here.

Multimodal Large Language Models to Solve Image-based Diagnostic Challenges: The Next Big Wave is Already Here.

Balanced on the Biggest Wave: Nirsevimab for Newborns.

Respiratory syncytial virus (RSV) is the leading cause of hospitalization in infancy in the United States. Nearly all infants are infected by 2 years of age, with bronchiolitis requiring hospitalization often occurring in previously healthy children and long-term consequences of severe disease including delayed speech development and asthma. Incomplete passage of maternal immunity and a high degree of genetic variability within the virus contribute to morbidity and have also prevented successful neonatal vaccine development. Monoclonal antibodies reduce the risk of hospitalization from severe RSV disease, with palivizumab protecting high-risk newborns with comorbidities including chronic lung disease and congenital heart disease. Unfortunately, palivizumab is costly and requires monthly administration of up to five doses during the RSV season for optimal protection.Rapid advances in the past two decades have facilitated the identification of antibodies with broad neutralizing activity and allowed manipulation of their genetic code to extend half-life. These advances have culminated with nirsevimab, a monoclonal antibody targeting the Ø antigenic site on the RSV prefusion protein and protecting infants from severe disease for an entire 5-month season with a single dose. Four landmark randomized controlled trials, the first published in July 2020, have documented the efficacy and safety of nirsevimab in healthy late-preterm and term infants, healthy preterm infants, and high-risk preterm infants and those with congenital heart disease. Nirsevimab reduces the risk of RSV disease requiring medical attention (number needed to treat [NNT] 14-24) and hospitalization (NNT 33-63) with rare mild rash and injection site reactions. Consequently, the Centers for Disease Control and Prevention has recently recommended nirsevimab for all infants younger than 8 months of age entering or born during the RSV season and high-risk infants 8-19 months of age entering their second season. Implementing this novel therapy in this large population will require close multidisciplinary collaboration. Equitable distribution through minimizing barriers and maximizing uptake must be prioritized.

A influência do tamanho da onda no desempenho dos surfistas da World Surf League (tamanho da onda WSL)

Abstract This study aimed to verify the influence of wave size on the performance of surfers in the main division of the World Surf League (WSL) Tour. The study included 31 surfers from the top division of the 2019 tour of the WSL. The two best waves of each surfer per heat were evaluated, separated, and combined, from round one to the final, totaling 1749 waves and 847 combinations. The study variables were related or associated with the number of victories and ranking. Spearman's correlation coefficient was used in all correlations in the study and Binary Logistic Regression to verify possible associations and estimate the odds ratio (OR) between the variable wave size and the result. Through the evidence, it was concluded that: 1) those surfers who during the season caught the biggest waves of the heats more often were more likely to win their heats and achieve better rankings in the season; 2) all surfers had to catch a portion of just no bigger waves and the best classifieds took advantage of them better; 3) the biggest waves had the greatest influence on the tubes, then on the turning maneuvers and lastly on the aerials; 4) the three groups of maneuvers were decisive for the good performance in the season, being the tubes the most decisive.

A Review of Ugo Corte, Dangerous Fun: The Social Lives of Big Wave Surfers. Chicago, IL: The University of Chicago Press, 2022, 272 pp.

This ethnographic study of big wave surfing in WaimeaBay in Hawai’i by the Italian sociologist Ugo Corte discovers how this extreme sport involving risk-taking activity is performed interactively. The data from observations and interviews are interpreted in terms of the theory of interaction ritual, which claims that the key to understanding these group activities is the notion of emotional energy generated as result of the social interaction. Unlike his predecessors Еrving Goffman and Randall Collins, Ugo Corte does not proceed from theory, but from his empirical material, for the interpretation of which he uses comparisons with somewhat similar phenomena from different fields, from other sports to creative industries. However, the book’s theoretical framework is Collins’s thesis on affect as a driving force of social order, from which the ideas emerge about how the focus of emotion and attention in joint activity generates group solidarity. The book illustrates how a sociologist and anthropologist can address the issues of risk and danger, and also shows the ways in which modern interactionist sociology, armed with post-Goffmanian tools, is developing.

Issues and challenges faced by Brazilian adults to learn English

In Brazil, all students in regular schools have English classes at some point in their lives, most of them usually start in 6th grade. However, when teachers and job interviewers ask about their knowledge, the answers show that they cannot speak, read, or write the language well. The Brazilian Educational Law of Guidelines and Bases requires a “foreign language” which may be Spanish, for example. When they become adults, it is essential to speak a second language to get better job opportunities. This study has investigated some aspects of English teaching/learning in Brazil, which may encourage many people to come to the U.S. to learn. Nowadays, there is a big wave of Brazilians coming to study English as an additional language. The study has mainly focused on adult Brazilian English learners living in the U.S. and it has identified the profile of these adult students, their motivation, their challenges, as well as issues about age, affection, and beliefs related to this topic. Palavras-chave: english learners; adults; USA.

Socio-Economic Changes in Coastal Fishermen of West Sumatra as the Impact of Coastal Abrasion

This study is about the socio-economic changes of fishermen on the west coast of Sumatra as a result of coastal abrasion. The purpose of this study is to explain the fishermen's struggle in dealing with abrasion and rebuilding the economy back to normal. The area on the west coast of Minangkabau facing the Indian Ocean is inhabited by people living on the coast. The west coast of Sumatra is very prone to coastal abrasion, because it faces the Indian Ocean which has high waves and big waves, so that coastal erosion always occurs in several areas, including Agam Regency, Padang Pariaman Regency, Padang City, and Pesisir Selatan Regency. In general, the west coast of Sumatra is a maritime-oriented residential area, both fishermen and other maritime cultural-oriented people. The nuances of their economic life are very dependent on the sea, such as fishing, processing of dried fish, sea transportation, port activities, shipping and trade. Ideally, all activities of fishing communities run smoothly according to the available natural and human resources. The method used is the historical research method, which includes heuristic (data collection), criticism, interpretation, and historiography. Several fishing settlements on the west coast of West Sumatra experienced coastal abrasion. As a result, they were forced to be moved to other settlements, so they could avoid the beach abrasion disaster. Automatically their livelihood changes and income also changes, resulting in social change. Those who initially worked as fishermen were forced to switch to the agricultural economy, because their settlement was far from the coast.

Overview Of Life Safety Of Fishing Fishermen In Cilincing North Jakarta

Working on a fishing vessel is work that is classified as dangerous and is prone to causing work accidents. The causes of accidents on fishing vessels are low crew awareness regarding work safety in shipping and fishing activities, low mastery of navigation and fishing safety competencies, ships are not equipped with safety equipment as they should be. Bad weather such as big waves and lack of knowledge and skills in using work safety equipment. Data collection was carried out by direct observation and interviews with fishermen in Ciincing. This research aims to find out the picture of the mental safety of Cilincing fishermen when going to sea. The results of this research show that the types of accidents frequently experienced by Cilincing fishermen are slips, bumps, falls into the sea, leaking boats, engine propellers caught in rubbish, sinking boats and ship collisions. The causes of work accidents experienced by Cilincing fishermen are a lack of skills in avoiding safety, incomplete safety equipment, inadequate vessels and a lack of navigational aids. The level of knowledge of Cilincing fishing fishermen about life safety is quite good because they often receive safety training and life safety equipment at sea. There are some fishermen who rely on traditional knowledge about sea safety based on experience passed down from their ancestors and combining knowledge. knowledge gained through government outreach.

Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning

While a big wave of artificial intelligence (AI) has propagated to the field of computational fluid dynamics (CFD) acceleration studies, recent research has highlighted that the development of AI techniques that reconciles the following goals remains our primary task: (1) accurate prediction of unseen (future) time series in long-term CFD simulations (2) acceleration of simulations (3) an acceptable amount of training data and time (4) within a multiple PDEs condition. In this study, we propose a residual-based physics-informed transfer learning (RePIT) strategy to achieve these four objectives using ML-CFD hybrid computation. Our hypothesis is that long-term CFD simulation is feasible with the hybrid method where CFD and AI alternately calculate time series while monitoring the first principle's residuals. The feasibility of RePIT strategy was verified through a CFD case study on natural convection. In a single training approach, a residual scale change occurred around 100th timestep, resulting in predicted time series exhibiting non-physical patterns as well as a significant deviations from the ground truth. Conversely, RePIT strategy maintained the residuals within the defined range and demonstrated good accuracy throughout the entire simulation period. The maximum error from the ground truth was below 0.4 K for temperature and 0.024 m/s for x-axis velocity. Furthermore, the average time for 1 timestep by the ML-GPU and CFD-CPU calculations was 0.171 s and 0.015 s, respectively. Including the parameter-updating time, the simulation was accelerated by a factor of 1.9. In conclusion, our RePIT strategy is a promising technique to reduce the cost of CFD simulations in industry. However, more vigorous optimization and improvement studies are still necessary.

A Study of Abrasion Identification for Coastal Areas at Sidangoli Gam Village

An abrasion of the coastal areas has occurred at Sidangoli Gam Village, West Halmahera of North Maluku. The original condition was planted mangroves for coastal areas protection. However, it has recently been abraded due to big waves from the Pacific Ocean. Local people and the government constructed a conventional dike using coral stone and wooden piles. Nonetheless, this dike construction is designed without physical meaning. On the other hand, local people cannot be moved to another location because they have fishermen, and this place is very familiar to them. This research aimed to study the identification factor of coastal abrasion area in the field, such as observation in length, abrasion in width, the measured elevation of land, taken coordinates by using GPS (Global Positioning System) for two points and measuring the slope of the land, lithology of the soil layer, land use, and also enquire about how long people have lived in the nearby coastline area. Therefore, the index of susceptibility to abrasion, called IKP, will be presented. The index of susceptibility of abrasion (CVI) results are obtained at 48,99, a moderate vulnerability condition. This value is considered as shoreline change of 4.0, visually observed of 5.0, abrasion in the length of 1.0, abrasion in width of 4.0, green belt width of 4.0, soil lithology of 4.0, land use of 4.0 and slope on land of 5.0. These results may be conducted using coastal dikes to avoid big and high waves from the Pacific Ocean.

Incidence rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European countries

During an ongoing epidemic, especially in the case of a new agent, data are partial and sparse, also affected by external factors, as for example climatic effects or preparedness and response capability of healthcare structures. Despite that, we showed how, under some universality assumptions, it is possible to extract strategic insights by modelling the pandemic through a probabilistic Polya urn scheme. Adopting a Polya framework, we provided both the distribution of infected cases and the asymptotic estimation of the incidence rate, showing that data are consistent with a general underlying process at different scales. Using European confirmed cases and diagnostic test data on COVID-19, we also provided an extensive comparison among European countries and between Europe and Italy at regional scale, for both the two big waves of infection. We globally estimated an incidence rate in accordance with previous studies.

Around and Around, Up and Down: Motion in the Southern Ocean

The Southern Ocean, which surrounds Antarctica, is unlike any other ocean on Earth. It is home to the world’s most powerful currents, biggest waves, craziest ice, and wildest animals. Despite its remoteness, the Southern Ocean plays a major role in Earth’s climate. The Southern Ocean connects and stirs together the other major oceans. The fast-flowing currents of the Southern Ocean block heat from being carried toward Antarctica, keeping the continent covered in ice—which is important to prevent dangerous sea-level rise. The Southern Ocean also connects the surface waters with the deep parts of the global ocean, by bringing deep water up to the surface and sending surface water down into the deep. This circulation is crucial for regulating how much heat and carbon the ocean can hold. The more carbon and heat held by the ocean, the slower Earth’s climate will change for those of us on land.

The construction of a localized teaching model of the Orff music teaching method based on big data analysis

Abstract In the era of the big information wave and rapid development of economic globalization, the traditional music teaching mode in China has failed to completely develop the times. Here focuses on constructing a localized teaching mode of the Orff music teaching method in the case of cloud information analysis, firstly, understanding the definition of cloud information, using the MOOC platform design and offline traditional Orff music teaching method to build the localized teaching mode. The system is designed with SSH structure as the framework and BP-related calculation methods, with basic theory as the key point adopted by related calculation method, implementation process adopted for break-in effect inspiring rules for evaluating the actual use, analyzing the accuracy and stability of the three algorithms through experiments of three cases, and the final from experimental analysis accuracy of BP neural network algorithm is between 77% and 86%, which is higher than the accuracy and stability of the other two algorithms. Furthermore, stability is high, thus building a set of localized and innovative teaching models suitable for Chinese music education, which is conducive to improving students’ aesthetic and artistic level and bringing Chinese music to the world stage.

Are small waves fondle and big waves overturn? Market reaction and corporate governance during four COVID-19 waves

PurposeThis study examines the effects of corporate governance on market returns during the first four waves of the COVID-19 crisis.Design/methodology/approachEvent study and linear regression methods were applied on a sample of 293 US firms.FindingsThe results show that differences in abnormal returns are more significant during the second wave of COVID-19 and the two following waves. Moreover, estimations show that good corporate governance alleviated the effect of COVID-19 during the second wave and the two following waves. However, corporate governance did not affect abnormal returns during the first wave. Furthermore, evidence highlights that the effect of corporate governance is more observed in the industries most affected by COVID-19 than in the least affected industries.Originality/valueMany studies have attempted to investigate the effect of corporate governance on stock returns during the first wave of the pandemic. However, to the authors' knowledge, this is the first study that focuses on different waves that occurred during 2020 and 2021.

Visual Coherence for Augmented Reality

Introduction. The 2020s were marked by the emergence of a new generation of computer simulators using augmented reality. One of the promising advantages of augmented reality technology is the ability to safely simulate hazardous situations real-world. A prerequisite for realizing this advantage is to provide the visual coherence of augmented reality scenes: virtual objects must be indistinguishable from real ones. All IT leaders consider augmented reality as a next “big wave”; thus, the visual coherence is becoming a key issue for IT in general. However, it is in aerospace applications that the visual coherence has already acquired practical significance. An example is Boeing's development of an augmented reality flight simulator, which began in 2022. Visual coherence is a complex problem, one of the aspects of which is to provide the correct overall coloration of virtual objects in an augmented reality scene. The objective of the research was to develop a new method of such tinting.Materials and Methods. The developed method (called spectral transplantation) uses two-dimensional spectral image transformations.Results. A spectral transplantation technology is proposed that provides direct transfer of color, brightness, and contrast characteristics from the real background to virtual objects. An algorithm for automatic selection of the optimal type of spectral transformation has been developed.Discussion and Conclusion. Being a fully automatic process without recording lighting conditions, spectral transplantation solves a number of complex problems of visual coherence. Spectral transplantation can be a valuable addition to other methods of providing visual coherence.

An Evaluation Method of Comprehensive Performance of Retrofitted CHP District Heating Systems

There is a big wave in China of retrofitting single-purpose coal-fired systems for district heating into heat-oriented combined heat and power (CHP) systems to save energy. Back-pressure steam turbines (BPSTs) and extraction steam turbines (ESTs) are both common in retrofitted systems, but contrastive analyses of their effects on the systems’ operation performance are lacking. Moreover, comprehensive evaluation methods of the retrofitted systems remain unknown. In this paper, exergy, exergoeconomic, and exergoenvironmental analyses were conducted to evaluate the thermodynamic, economic, and environmental performances of two real CHP systems: system A using a BPST and system B using an EST. Additionally, a new multi-criteria evaluation method based on rank correlation analysis was proposed for the retrofitted system. The results show that system A is better than system B in thermodynamic and environmental aspects but poorer in the economic aspect. Overall, the multi-criteria evaluation result indicates that system A has a better comprehensive performance than system B. Therefore, the BPST has a better effect than the EST on the retrofitted CHP system for district heating in this study. The findings could provide a reference point for retrofitting work in the future.

KAJIAN KELAYAKAN FINANSIAL PARIWISATA PANTAI TLANGOH DI KABUPATEN BANGKALAN

Tlangoh Beach is classified as a tourist attraction in Bangkalan Regency, which has only been managed in the last five years. The existence of Tlangoh Beach is naturally quite attractive, with white sand conditions, a long coastline, and not too big waves. This condition inspired the management of the Village Owned Enterprise (BUMDes) of Tlangoh Village, together with the Tourism Awareness Group (Pokdarwis) to develop and complete its supporting facilities. However, BUMDes do not yet know the extent of the business feasibility of the investments made. This study aims to analyze the feasibility level at Tlangoh Beach, Tlangoh Village, Tanjung Bumi District, Bangkalan Regency. The sample in this study is a beach manager consisting of a chairman, secretary, and members. The instruments used to assess the financial feasibility of the Tlangoh Beach management business are NPV, IRR, R/C ratio, B/C ratio, and payback period. The results of the financial analysis show that for the four instruments, the business of developing Tlangoh Beach tourism is very feasible. In addition, the investment value can be closed within 1 year and 2 months.

Has China's carbon market stress released? Measurement and comparison of national and pilot carbon markets' stress.

This paper constructs a novel stress measurement system of carbon market from the perspective of trading, emission reduction, and external shocks and simulates the stress indices of national and pilot carbon markets of China with the methods of functional data analysis and criteria importance through intercriteria correlation. It concludes that the overall carbon market stress is in the shape of "W" and still at a high level, with frequent fluctuations and an upward trend. In addition, the stress of Hubei, Beijing, and Shanghai carbon market fluctuates and rises, while the stress of Guangdong carbon market decreases. Moreover, carbon market stress mainly comes from trading and emission reduction. Furthermore, stress fluctuation of Guangdong and Beijing carbon market is more prone to "big waves," indicating that the two markets are sensitive to big events. Finally, the pilot carbon markets are divided into stress-driven and stress-release market and the type of which keeps change in different period.

Qaryah Thayyibah Program Melalui Sosialiasi Pengurangan Dampak Ancaman Meteorologis pada Masyarakat Nelayan Kepulauan Masalembu

Incidents of boats and fishing boats sinking in the waters of Masalembu often occur. These accidents were caused by bad weather. Therefore, it is necessary to disseminate information on reducing the impact of meteorological threats on the fishing community of Masalembu. Activities implemented by introducing the meteorological threats that have been faced so far, ranging from rain accompanied by strong winds, hurricanes, big waves and lightning. Another activity is helping fishermen to access weather information provided by the Maritime BMKG website both daily and weekly. It is hoped that the fishermen of the Masalembu islands can prepare and anticipate meteorological threats that are and will occur.

Sardinia’s push to host the next big gravitational wave detector

Sardinia’s push to host the next big gravitational wave detector