Traditional Stage Research Articles

Use traditional stage tricks Vietnam in building the product “Edip the king”

With staging work, at each stage, the director tries to choose "narratives" that has a bit of estimated and stylized direction of the traditional theater because they realize that, nowadays, the application of attributes such as: estimation and stylization in stage decoration have become a trend in many countries.

Beyond democratic degeneration, horizontal and liberated organization? The agonistic approach of a Belgian food co-op

This research focuses on democratic organizations and the risk of degeneration. The author studies how horizontal management may maintain a democratic organization’s stability through the examination of a Belgium food cooperative with democratic governance. The article reaches two main conclusions. First, it concludes with a simple empirical finding: horizontal organization does not necessarily prevent degeneration. However, it stresses that implementing horizontal management in democratic organizations allows for daily members’ politicization and then the organization’s pluralization. Second, it proposes a theoretical contribution for a better understanding of democratic degeneration. In a horizontally organized structure, the degeneration process differs from what is typically noted in the literature, as it is triggered by the politicization of the members. Therefore, an agonistic reinterpretation of the traditional degenerative stages is proposed: (1) fusion, (2) pluralization, (3) conflictualization, and (4) centralization.

Clinical significance of preoperative CALLY index for prognostication in patients with esophageal squamous cell carcinoma undergoing surgery

The C-reactive protein-albumin-lymphocyte (CALLY) index has been identified as a useful and sensitive predictive tool for stratification in cancers. This investigation aimed to validate the prognostic ability of CALLY in esophageal squamous cell carcinoma (ESCC). Clinical characteristics of 318 patients with ESCC who underwent radical excision were gathered and analyzed retrospectively. A restricted cubic spline (RCS) model was used to determine an ideal threshold of CALLY due to the non-linear relation. To investigate the predictors, Cox hazard regression analysis was used. The recursive partitioning analysis (RPA), a method of risk categorization, was also developed for prognostic prediction. The receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were used to distinguish from the traditional TNM stage. Patients were compared by groups according to the optimal threshold of CALLY index, which was depicted by the non-linear relation between the cancer-specific survival (CSS) and CALLY index (P < 0.0001). Compared to those with high CALLY index, patients with low CALLY index experienced significantly worse 5-year CSS (21.8% vs. 62.6%, P < 0.001). At different TNM stages, patients with high CALLY index also had better 5-year CSS (I: P = 0.029; II: P < 0.001; III: P < 0.001) in subgroup analyses. The hazard ratio for CSS was 0.368 and CALLY index was an independent predictive factor (P < 0.001). Using TNM stage and CALLY-based RPA algorithms, a new staging was created. The RPA model considerably outperformed the TNM classification for prognostication using ROC (P < 0.001). The DCA also demonstrated that the new model outperformed the TNM stage with significantly improved accuracy for CSS. The prognostic value of CALLY in ESCC undergoing radical resection was initially determined in this study. CALLY was substantially related to prognosis and might be utilized in conjunction with TNM to evaluate ESCC prior to surgery.

Lev Gumilev’s Naturalistic Conservatism. (Essays on the Conservative Thought in the USSR)

The paper examines the views of the ethnologist, historian and philosopher Lev Nikolayevich Gumilev (1912–1992), the creator of the theory of ethnogenesis and the theory of passionarity. The scientist’s dramatic life journey, his political opinions and scientific concepts are discussed here. The paper also reconstructs Lev Gumilev’s political views based on biographers’ studies, memoirs about Lev Gumilev and his poems that were unpublished during his life. This entire process shows that from his very youth to the last days the scientist was a secret anti-Soviet, anti-communist, monarchist and Orthodox Christian, anti-Westerner and antidemocrat. The paper reveals how these views of his are connected with the theories of ethnogenesis and passionarity. The perception of the history of mankind as the development of ethnic groups excludes progressism and liberalism, since under this concept the history of mankind would cease to be perceived as a universal process involving traditional and modernist stages. At the same time, the doctrine of “fostering landscapes” created by Lev Gumilev suggests that every nation has its own system of values and standards of behavior, and their mechanical borrowing is impossible. It was from this point that Lev Gumilev drew his conclusions of anti-Western and Slavophile/Eurasian nature: Russia should not imitate Europe. It should follow its own way. However, the doctrine of the Slavic-Turkic symbiosis as the foundation of Russian civilization turned out to be a distinction between him and the Slavophiles. In addition, the liberal democracy of the Western type was seen by Lev Gumilev not as a universal value, but as a set of behavioral patterns and stereotypes in views typical only of the peoples of Western civilization. Finally, the scientist repeatedly emphasized the most important role of Orthodoxy in forming the Russian ethnicity. So, Lev Gumilev was a conservative thinker. His conservatism, however, was a kind of naturalistic, cosmic conservatism, akin to the teachings of Plato, Konstantin Leontiev and Oswald Spengler.

Виды служебных слов в словаре Лу Ивэя (к вопросу о грамматической терминологии)

The article deals with the set of grammatical notions used by the author of 《语助》 “Yuzhu”, that is the first special monograph in Chinese linguistics dedicated to the description of function words. The study of works significant for the development of the linguistic knowledge is very important for historiographical and epistemological description of the formation of a certain tradition (in this case the Chinese one), since such works mark the stages of qualitative shifts in the structure of knowledge. In the course of the research three types of function words were singled out: 辞 ci, 声 sheng and 语助 yuzhu. The description of how these terminological units are used in the works preceding 《语助》 “Yuzhu” (such as 《礼记正义》 “Li ji zheng yi”, 《毛诗故训传》 “Mao Shi gu xun zhuan”, etc.) is given. Diachronic analysis shows a certain continuity of Lu Yiwei’s 卢以纬 interpretations: he does not offer his own variants of naming function words, but uses terms that were coined by the literary people and commentators in previous epochs. To illustrate different types of function words, excerpts from dictionary entries are given, they are translated into Russian by the author. It is emphasized that these units do not have such properties inherent for terms as definition, accuracy of meaning, single meaning and form stability, so it is impossible to consider such units as proper terms. It is concluded that the traditional stage of linguistic knowledge development in China is characterized by the formation of the system of grammatical notions, there was no consistently developed terminological apparatus in this period, the structure of the language was not viewed systematically.

Club coefficients in the UEFA Champions League: Time for shift to an Elo-based formula

ABSTRACT One of the most popular club football tournaments, the UEFA Champions League, will see a fundamental reform from the 2024/25 season: the traditional group stage will be replaced by one league where each of the 36 teams plays eight matches. To guarantee that the opponents of the clubs are of the same strength in the new design, it is crucial to forecast the performance of the teams before the tournament as well as possible. This paper investigates whether the currently used rating of the teams, the UEFA club coefficient, can be improved by taking the games played in the national leagues into account. According to our logistic regression models, a variant of the Elo method provides a higher accuracy in terms of explanatory power in the Champions League matches. The Union of European Football Associations (UEFA) is encouraged to follow the example of the FIFA World Ranking and reform the calculation of the club coefficients in order to avoid unbalanced schedules in the novel tournament format of the Champions League.

The Theatre of “Glass Puppetry” Enhanced With The Use of The Technology of Lighting

The life of a Wayang Artist is an honorable role to have in the society of the Balinese people. Storytellers using the art of the wayang are highly respected, whose role in the community is to pass on the precious stories about the history, the culture and the spiritual heart of the Balinese people. The Wayang artist, known as the dalang goes on a life journey in sharing their philosophies through stories for the enrichment and soul of society. The process of internalization of the Puppet master from an early age through the world of wayang, forms a cognitive map of the creator who is immersed in the stories and characters of wayang art figures. The wayang artist continues to strive for innovation in form, exploring new techniques and exciting presentations, and with that in mind, the invention of the Glass Wayang enables the creator to explore the new technologies in developing a new way forward in the shadow puppet world. The process of creating Glass Puppets using the technology of lighting as a medium, opens one up to reflect on the mirroring of the self-image- to self-awareness and the inner workings our role in this human life Dramatic depictions of life processes are conveyed through the medium of glass puppets. Experiences and realities of life from the past until now. The search for identity is awakened. Wayang Kaca's work ranges from the making of various styles and forms of puppets supported by one hundred and six dancers accompanied by digital musical instruments (midi) and Bebonangan and Semarandhana gamelan. Digital musical instruments (midi) and gamelan are not only accompaniment but are an important part in providing a traditional and modern feel. The performance venue at Sanggar Paripurna Bona, Gianyar includes a side stage along with the traditional proscenium stage. allowing for a full presentation for displaying this Glass Wayang work. The facilities the sanggar offers allow for all aspects of the creation process in developing, rehearsing, and presenting a final performance.

TEACHING AND ASSESSING INDEPENDENT LISTENING IN AN ONLINE COURSE FOR TRANSLATION MAJORS

The article presents methods of teaching and assessment of philology students’ independent listening in online instruction which has gained increased significance in the pandemic and post-pandemic times. Independent listening is understood as listening to aural/video texts outside the classroom aligned with the curriculum. Basic principles applied in teaching independent listening include giving learners enough freedom for self-regulation, i.e., choosing a text and time for listening, self-evaluating results, and developing strategies for further learning with a teacher’s support for scaffolding learning. The current research is based on the findings of the preliminary study which provided information about the 2nd year students’ interests in topics and types of listening texts, the length of aural and video texts and frequency of independent listening sessions per week as well as the learning platforms they are familiar with. Built on these data, methods of teaching and assessment of independent listening were developed, with their effectiveness examined in this study. The intervention, conducted by the researchers, integrated traditional stages of teaching listening with a listening log used as a tool for guiding students’ reflection and self-evaluation. Logs/journals/portfolios belong to alternative assessments, which are still innovative and under-researched in language pedagogy, although reflecting the much-welcomed shift from assessment of learning towards assessment for learning. The data obtained through listening logs were corroborated with the results of pre-and post-tests and the employment of another qualitative research tool – reflective Can-do statements. The findings prove that a listening log is efficiently integrated into the processes of teaching as well as self- and teacher assessment.

New proglacial meteorology and river stage observations from Inglefield Land and Pituffik, NW Greenland

Abstract. Meltwater runoff from the Greenland ice sheet (GrIS) is an important contributor to global sea level rise, but substantial uncertainty exists in its measurement and prediction. Common approaches for estimating ice sheet runoff are in situ gauging of proglacial rivers draining the ice sheet and surface mass balance (SMB) modeling. To obtain hydrological and meteorological data sets suitable for both runoff stage characterization and, pending the establishment of stage–discharge curves, SMB model evaluation, we established an automated weather station (AWS) and a cluster of traditional and experimental river stage sensors on the Minturn River, the largest proglacial river draining Inglefield Land, NW Greenland. Secondary installations measuring river stage were installed in the Fox Canyon River and North River at Pituffik Space Base, NW Greenland. Proglacial runoff at these sites is dominated by supraglacial processes only, uniquely advantaging them for SMB studies. The three installations provide rare hydrological time series and an opportunity to evaluate experimental measurements of river stage from a harsh, little-studied polar region. The installed instruments include submerged vented and non-vented pressure transducers, a bubbler sensor, experimental bank-mounted laser rangefinders, and time-lapse cameras. The first 3 years of observations (2019 to 2021) from these stations indicate (a) a meltwater runoff season from late June to late August/early September that is roughly synchronous throughout the region; (b) the early onset (∼ 23 June to 8 July) of a strong diurnal runoff signal in 2019 and 2020, suggesting minimal meltwater storage in snow and/or firn; (c) 1 d lagged air temperature that displays the strongest correlation with river stage; (d) river stage that correlates more strongly with ablation zone albedo than with net radiation; and (e) the late-summer rain-on-ice events appear to trigger the region's sharpest and largest floods. The new gauging stations provide valuable in situ hydrological observations that are freely available through the PROMICE network (https://promice.org/weather-stations/, last access: 14 September 2023).

Jacques Copeau in tune with romanticism, hand in hand with Rousseau: from the myth of child’s innocence to the problems of actor’s consciousness

The article examines the relationship between Jacques Copeau’s innovative approach to actor training and the romantic ideals associated with the figure of the child that prevailed at the turn of the twentieth century. Initially, the article explores how Copeau’s veneration of the child reflects his yearning for ‘untouched beings’ – individuals who are malleable and free from previous experiences. It then elucidates the explicit connections between Copeau’s perception of the child’s ‘unconscious genius’ and the myth of the child-artist, capable of marvelling at the world and perceiving hidden connections and insights that escape others. This highlights the French director’s belief that the source of artistic creation and the actor’s dramatic vocation reside, to some extent, beyond the realm of conscious perception. Subsequently, the article draws on Rousseau’s Émile ou De l‘éducation to highlight the striking parallels between Rousseau’s principles for the education of children and the fundamental principles proposed by Copeau in the realm of actor training, parallels hitherto strikingly little explored in texts on the French director. In conclusion, the text shows that the child model, despite its idealization for innocence, facilitates transformative practices integrating the actor’s unconscious and embracing the unknown in training. This departure from traditional stage reconstructions ushers in a discovery-based logic through improvisation that we can recognise in the work of pedagogues and directors such as Jacques Lecoq, Philippe Gaulier and Ariane Mnouchkine. By engaging with the child model, Copeau’s actors embraced curiosity, fostering a dynamic shift towards fluid and exploratory artistic expression.

Nutritional quality and bioactive compounds of arugula (Eruca sativa L.) sprouts and microgreens

SummaryAs an alternative to vegetables in their traditional stages of maturation, sprouts, and microgreens are increasing in popularity mainly due to the potential health benefit of the contents of bioactive compounds. This work aimed to evaluate and compare the nutritional profile and the bioactive compounds of arugula (Eruca sativa L.) sprouts and microgreens produced organically in a hydroponic system. Seeds were placed in phenolic foams and soaked in water for 48 h to promote germination according to the supplier's recommendation. Sown trays were placed on top of perforated polystyrene boards and irrigated using a nutrient solution. Seeded trays were kept in a controlled environment and were exposed to 12 h photoperiod. Sprouts were harvested after 7 days of germination, while the microgreens were harvested after 14. As a result, these vegetables showed a high protein content, with sprouts being statistically different from microgreens (24.8% sprouts; 18.2% microgreens), with an excellent content of total fibre (34.3% sprouts; 28.7% microgreens) and soluble fibre (11.5% sprouts; 6.7% microgreens). Regarding the bioactive compounds, the predominance of carotenoids zeaxanthin and β‐carotene in the sprouts (41.8 and 19.8 μg g−1, respectively) and the identification of more compounds as O‐glucosides derived from flavonoids in the microgreens were noted.

Production quality prediction of multistage manufacturing systems using multi-task joint deep learning

A multistage manufacturing system with multiple manufacturing stages is the key and main production mode for enterprises to achieve lean production. Due to the variation propagation between stages and multiple related quality prediction tasks, it is difficult to accurately predict the quality of multistage manufacturing systems with multiple tasks. Traditional single stage and single task quality prediction methods permit the multi stages and multiple tasks separately, which ignore multi-stage effects or the quality-related relationship between multiple quality output indicators and reduce the efficiency of quality prediction. In this paper, a production quality prediction framework based on multi-task joint deep learning is proposed to simultaneously evaluate the multi-task quality of all stages in a multistage manufacturing system. To be specific, variation propagation cumulative impact between multiple manufacturing stages is innovatively expressed by designing a multi-scale convolutional neural network with control gates (MCNN-CG) to extract and propagate data features. Production quality with multi-tasks at all stages is jointly predicted by designing a multi-layer multi-gate mixture-of-experts multi-task (ML-MMoE) model with reducing multi-task predictive loss simultaneously. The soft parameter-sharing strategy and multi-gate attention strategy are separately designed to ensure information sharing while learning personalized features of tasks to improve quality prediction accuracy of each task. In addition, a loss function based on homoscedastic uncertainty and regularization is designed to automatically learn the weight between multi-stage and multi-task losses. Experiments on multistage assembly test data of an inertial navigation manufacturing system show that the proposed method performs better than traditional models. Compared to the single-stage model, the proposed multistage model has an average improvement of 8.5%, 20.0% and 23.3% in R2, MAE and RMSE respectively in the second stage. Compared with the traditional multi-stage model, the proposed model has an average improvement of 1.7%, 6.2% and 9.8% in R2, MAE and RMSE respectively in the second stage.

A practical nomogram and risk stratification system for predicting survival outcomes in neuroblastoma patients: a SEER population-based study

BackgroundNeuroblastoma (NB) is a childhood malignancy with marked heterogeneity, resulting in highly variable outcomes among patients. This study aims to establish a novel nomogram and risk stratification system to predict the overall survival (OS) for patients with NB.MethodsWe analyzed neuroblastoma patients from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015. The nomogram was constructed using independent risk factors for OS, identified through univariate and multivariate Cox regression analyses. The accuracy of this nomogram was evaluated with the concordance index, receiver operating characteristic curve, calibration curve, and decision curve analysis. In addition, we developed a risk stratification system based on the total score of each patient in the nomogram.ResultsA total of 2185 patients were randomly assigned to the training group and the testing group. Six risk factors, including age, chemotherapy, brain metastases, primary site, tumor stage, and tumor size, were identified in the training group. Using these factors, a nomogram was constructed to predict 1-, 3-, and 5-year OS of NB patients. This model exhibited superior accuracy in the training and testing groups, exceeding traditional tumor stage prediction. Subgroup analysis suggested worse prognosis for retroperitoneal origin in the intermediate-risk group and adrenal gland origin in the high-risk group compared to other sites. Additionally, the prognosis for high-risk patients significantly improved after surgery. We also developed a web application to make the nomogram more user-friendly in clinical practices.ConclusionThis nomogram demonstrates excellent accuracy and reliability, offering more precise personalized prognostic predictions to clinical patients.

Analysis of Indonesian Economic Development: Case Study Mining Business in Papua Province

This paper will analyze modernization and dependency theory in Freeport business towards economic development in Papua. This study also aims to understand the historical background of Freeport Indonesia, particularly Indonesia's political government relation with this business and its social impact. This study uses a qualitative method with historical and descriptive research. After field observation, interview, and document review, this study found that the Marxism perspective is relevant to Freeport's business that develops good relations with the Indonesian state elite to secure their business in Papua. Soeharto's government was contradictory to John Locke's theory to protect people's rights. Due to the inability to maintain performance legitimacy proved by human rights violence and economic recession, a mass demonstration led to democratization and over Soeharto regime. Last, Papua's economic development remains in the traditional stage and strong dependency on Freeport Business.

Model Sistem Penunjang Keputusan Untuk Pengelolaan Pembiayaan Nasabah Di BPR Sehat Sejahtera Universitas Pamulang

Abstract&#x0D; &#x0D; One of the BPRs that is currently developing in South Tangerang is BPR Sehat Sejahtera. BPR Sehat Sejahtera is part of the Pamulang University Sasmita Group, whose function as a bank is to channel financing to community businesses so that they are able to support the country's economy. To distribute financing, BPR managers are expected to be able to conduct financing analysis to reduce the risk of financing failure. Until now, financing analysis carried out by BPRs tends to be manual and requires quite a long time to make financing decisions. One method that can be used to assist in financing analysis is the credit scoring model. To facilitate decision making, an SPK was formed with a credit scoring model to provide several choices regarding customer financing applications. The DSS development process follows the traditional software development stages, namely: (1) planning, (2) analysis, (3) design and (4) implementation. SPK is developed using a spreadsheet model with a dialog display that supports user needs. The credit scoring model developed uses several methods, namely discriminant analysis, multiple linear regression, logistic regression, and decision trees. Each method will produce a different credit scoring model to be included in the SPK model base. The SPK prototype developed resulted in several financing analyzes according to the credit scoring model used. The prediction accuracy shown by credit scoring models ranges from 70% -80%. This method is capable of producing a model that provides a fairly high predictive accuracy. Meanwhile, the decision tree method is still not optimal in producing a credit scoring model.&#x0D; &#x0D; Keywords: financing analysis, discriminant analysis, BPR, credit scoring, decision tree, multiple linear regression, logistic regression, decision support system (DSS)

Machine Learning Framework with Feature Importance Interpretation for Discharge Estimation: A Case Study in Huitanggou Sluice Hydrological Station, China

Accurate and reliable discharge estimation plays an important role in water resource management as well as downstream applications such as ecosystem conservation and flood control. Recently, data-driven machine learning (ML) techniques showed seemingly insurmountable performance in runoff forecasting and other geophysical domains, but they still need to be improved in terms of reliability and interpretability. In this study, focusing on discharge estimation and management, we developed an ML-based framework and applied it to the Huitanggou sluice hydrological station in Anhui Province, China. The framework contains two ML algorithms, the ensemble learning random forest (ELRF) and the ensemble learning gradient boosting decision tree (ELGBDT). The SHapley Additive exPlanation (SHAP) was introduced into our framework to interpret the impact of the model features. In our framework, the correlation analysis of the dataset can provide feature information for modeling, and the quartile method was utilized to solve the outlier problem of the dataset. The Bayesian optimization algorithm was adopted to optimize the hyperparameters of the ensemble ML models. The ensemble ML models are further compared with the traditional stage–discharge rating curve (SDRC) method and the single ML model. The results show that the estimation performance of the ensemble ML models is superior to that of the SDRC and the single ML model. In addition, an analysis of the discharge estimation without considering the flow state was performed. This analysis reveals that the ensemble ML models have strong adaptability. The ensemble ML models accurately estimate the discharge, with a coefficient of determination of 0.963, a root mean squared error of 31.268, and a coefficient of correlation of 0.984. Our framework can prove helpful to improve the efficiency of short-term hydrological estimation and simultaneously provide the interpretation of the impact of the hydrological features on estimation results.

Prognostic impact of tumor size on patients with metastatic colorectal cancer: a large SEER-based retrospective cohort study

Given the poor prognosis of metastatic colorectal cancer (mCRC), this research aimed to investigate the correlation between tumor size and prognosis, and develop a novel prediction model to guide individualized treatment. Patients pathologically diagnosed with mCRC were recruited from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015, and were randomly divided (7:3 ratio) into a training cohort (n = 5597) and a validation cohort (n = 2398). Kaplan–Meier curves were used to analyze the relationship between tumor size and overall survival (OS). Univariate Cox analysis was applied to assess the factors associated with the prognosis of mCRC patients in the training cohort, and then multivariate Cox analysis was used to construct a nomogram model. The area under the receiver-operating characteristics curve (AUC) and calibration curve were used to evaluate the predictive ability of the model. Patients with larger tumors had a worse prognosis. While brain metastases were associated with larger tumors compared to liver or lung metastases, bone metastases tended to be associated with smaller tumors. Multivariate Cox analysis revealed that tumor size was an independent prognostic risk factor (HR 1.28, 95% CI 1.19–1.38), in addition to the other ten variables (age, race, primary site, grade, histology, T stage, N stage, chemotherapy, CEA level and metastases site). The 1-, 3-, and 5-year OS nomogram model yielded AUC values of more than 0.70 in both the training and validation cohorts, and its predictive performance was superior to that of the traditional TNM stage. Calibration plots demonstrated a good agreement between the predicted and observed 1-, 3-, and 5-year OS outcomes in both cohorts. The size of primary tumor was found to be significantly associated with prognosis of mCRC, and was also correlated with specific metastatic organ. In this study, we presented the first effort to create and validate a novel nomogram for predicting 1-, 3- and 5-year OS probabilities of mCRC. The prognostic nomogram was demonstrated to have an excellent predictive ability in estimating individualized OS of patients with mCRC.

An unequal fracturing stage spacing optimization model for hydraulic fracturing that considers cementing interface integrity

Determining reasonable fracturing stage spacing is the key to horizontal well fracturing. Different from traditional stage spacing optimization methods based on the principle of maximum stimulated reservoir volume, in this paper, by considering the integrity of the wellbore interface, a fracture propagation model was established based on displacement discontinuity method and the competition mechanism of multifracture joint expansion, leading to the proposal of an unequal stage spacing optimization model. The results show that in the first stage, the interfacial fractures spread symmetrically along the axis of the central point during that stage, while in the second and subsequent stages, the interfacial fractures of each cluster extend asymmetrically along the left and right sides. There are two kinds of interface connectivity behaviour: in one, the existing fractures first extend and connect within the stage, and in the other, the fractures first extend in the direction close to the previous stage, with the specific behaviour depending on the combined effect of stress shadow and flow competition during hydraulic fracture expansion. The stage spacing is positively correlated with the number of fractures and Young’s modulus of the cement and formation and is negatively correlated with the cluster spacing and horizontal principal stress difference. The sensitivity is the strongest when the Young’s modulus of the cement sheath is 10–20 GPa, and the sensitivity of the horizontal principal stress difference is the weakest.

ORGANIZATIONAL AND ECONOMIC SUPPORT FOR THE DEVELOPMENT OF THE SOCIAL SERVICES MARKET IN UKRAINE

The problem of increasing the level of social security acquires special significance in the conditions of the military and post-war period, because a person in danger loses health and satisfaction with life, needs protection from dangers. Modern challenges and sudden shocks reduce the standard of living of the population in Ukraine and the world. The number of people in need of social protection is growing rapidly. A very important component of social protection is a developed market of social services. That's why the global social services market has grown very rapidly recently. The relevance of the study is determined by the objective need for a theoretical rethinking of social services in Ukraine, the objective need to create and develop a market for social services.The aim of the article is to generalize the theoretical aspects, as well as to develop practical recommendations for the development of the social services market in Ukraine.The scientific achievement of the authors is the developed model of the formation of the social services market, the basis of which is the scientific-theoretical and organizational-economic support. The theoretical support is based on taking into account the traditional stages of market development, its laws, rules and functions. Organizational-economic support involves the interaction of economic agents of the market, trends, constraints, problems of its development, specific properties and market-forming factors. The successive interrelated stages of the formation and development of the social services market are highlighted. The study of stages, their specific characteristics, and cycles of development of social services is the subject of future research.The results of the research will consist of the possibility of their use for the development of strategies and programs of social development, the formation of a social service market and the support of social security in Ukraine.

Development and validation of a deep learning survival model for cervical adenocarcinoma patients

BackgroundThe aim was to develop a personalized survival prediction deep learning model for cervical adenocarcinoma patients and process personalized survival prediction.MethodsA total of 2501 cervical adenocarcinoma patients from the surveillance, epidemiology and end results database and 220 patients from Qilu hospital were enrolled in this study. We created our deep learning (DL) model to manipulate the data and evaluated its performance against four other competitive models. We tried to demonstrate a new grouping system oriented by survival outcomes and process personalized survival prediction by using our DL model.ResultsThe DL model reached 0.878 c-index and 0.09 Brier score in the test set, which was better than the other four models. In the external test set, our model achieved a 0.80 c-index and 0.13 Brier score. Thus, we developed prognosis-oriented risk grouping for patients according to risk scores computed by our DL model. Notable differences among groupings were observed. In addition, a personalized survival prediction system based on our risk-scoring grouping was developed.ConclusionsWe developed a deep neural network model for cervical adenocarcinoma patients. The performance of this model proved to be superior to other models. The results of external validation supported the possibility that the model can be used in clinical work. Finally, our survival grouping and personalized prediction system provided more accurate prognostic information for patients than traditional FIGO stages.