Active Segmentation Research Articles

Northward propagation of the Gulf of Elat-Aqaba constrained by cosmogenic burial ages and magnetostratigraphy of onshore sediments

The Gulf of Elat-Aqaba (GEA), located in the southern part of the Dead Sea Transform (DST), is one of the most active segments of the Dead Sea fault system. Yet, some fundamental details concerning its evolution in space and time are still not fully understood. To better constrain the tectonic history of this region, we study a succession of alluvial, lacustrine, and fluvial deposits in the north-western edge of the GEA, which belong to the Quaternary Eilot and Garof Fms. The Eilot Fm. represents low-energy shallow freshwater bodies and sabkhas, which predate the development of the deep part of the basin. Later, in response to the subsidence of the basin, the Garof Fm. was deposited in alluvial fans that built up following the increase in the depositional energy. Cosmogenic burial ages combined with magnetostratigraphy show that these Fms. were deposited as early as 3.03 Ma and as late as 1.65 Ma, depending on the applied age model. Considering the present depth of the northern GEA, this age indicates a maximum subsidence rate of the head of the GEA of ∼1.98mm/yr. We suggest that faults along the onshore margin of the deep basin were active during the deposition of the Garof Fm. and subsequently became inactive, while the faulting activity migrated toward the center of the basin. Closed Holocene basins north of the present seashore, such as the Elat and Evrona playas, which may represent a modern analogue to the Plio-Pleistocene morphology, raise the possibility that the GEA head is still propagating northward.

Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification.

Diabetic Retinopathy (DR) is a major type of eye defect that is caused by abnormalities in the blood vessels within the retinal tissue. Early detection by automatic approach using modern methodologies helps prevent consequences like vision loss. So, this research has developed an effective segmentation approach known as Level-set Based Adaptive-active Contour Segmentation (LBACS) to segment the images by improving the boundary conditions and detecting the edges using Level Set Method with Improved Boundary Indicator Function (LSMIBIF) and Adaptive-Active Counter Model (AACM). For evaluating the DR system, the information is collected from the publically available datasets named as Indian Diabetic Retinopathy Image Dataset (IDRiD) and Diabetic Retinopathy Database 1 (DIARETDB 1). Then the collected images are pre-processed using a Gaussian filter, edge detection sharpening, Contrast enhancement, and Luminosity enhancement to eliminate the noises/interferences, and data imbalance that exists in the available dataset. After that, the noise-free data are processed for segmentation by using the Level set-based active contour segmentation technique. Then, the segmented images are given to the feature extraction stage where Gray Level Co-occurrence Matrix (GLCM), Local ternary, and binary patterns are employed to extract the features from the segmented image. Finally, extracted features are given as input to the classification stage where Long Short-Term Memory (LSTM) is utilized to categorize various classes of DR. The result analysis evidently shows that the proposed LBACS-LSTM achieved better results in overall metrics. The accuracy of the proposed LBACS-LSTM for IDRiD and DIARETDB 1 datasets is 99.43% and 97.39%, respectively which is comparably higher than the existing approaches such as Three-dimensional semantic model, Delimiting Segmentation Approach Using Knowledge Learning (DSA-KL), K-Nearest Neighbor (KNN), Computer aided method and Chronological Tunicate Swarm Algorithm with Stacked Auto Encoder (CTSA-SAE).

Mother-infant social gaze dynamics relate to infant brain activity and word segmentation

The ‘social brain’, consisting of areas sensitive to social information, supposedly gates the mechanisms involved in human language learning. Early preverbal interactions are guided by ostensive signals, such as gaze patterns, which are coordinated across body, brain, and environment. However, little is known about how the infant brain processes social gaze in naturalistic interactions and how this relates to infant language development. During free-play of 9-month-olds with their mothers, we recorded hemodynamic cortical activity of ´social brain` areas (prefrontal cortex, temporo-parietal junctions) via fNIRS, and micro-coded mother’s and infant’s social gaze. Infants’ speech processing was assessed with a word segmentation task. Using joint recurrence quantification analysis, we examined the connection between infants’ ´social brain` activity and the temporal dynamics of social gaze at intrapersonal (i.e., infant’s coordination, maternal coordination) and interpersonal (i.e., dyadic coupling) levels. Regression modeling revealed that intrapersonal dynamics in maternal social gaze (but not infant’s coordination or dyadic coupling) coordinated significantly with infant’s cortical activity. Moreover, recurrence quantification analysis revealed that intrapersonal maternal social gaze dynamics (in terms of entropy) were the best predictor of infants’ word segmentation. The findings support the importance of social interaction in language development, particularly highlighting maternal social gaze dynamics.

Analysis of the hippocampal neural network activity <i>in vivo</i> by miniature fluorescence microscopy in neurological pathologies

Miniature fluorescent microscopy is a method that enables neurobiologists to visualize and record neuronal activity of a specific brain region in vivo in freely moving mice [1]. The use of miniscope presents a novel approach for acquiring extensive data on the structure, function, and organization of the neuronal network in the region of interest at the in vivo level [2, 3]. In this way, the use of miniscope could also identify changes caused by pathological conditions, such as seizures, neurodegenerative diseases, and neurological complications resulting from past viral infections, like influenza virus. Data obtained through miniature fluorescent microscopy contains information on the functioning properties and original connections of hundreds of simultaneously recorded neurons. Our group developed an open-source toolbox to move from qualitative to quantitative analysis of recorded data, providing neurobiologists with statistical metrics from miniscope processed recordings through “Minian” [4]. Neuronal network state was defined in open-field test conditions under normal circumstances using a self-developed toolbox in the current study. In this study, 5-month-old wild B6SJL mice were injected with AAV-GCaMP6f virus in the hippocampus. After 3 weeks, a gradient lens was implanted over the hippocampus with baseplate fixation. Changes in calcium levels were measured using Miniscope v3 in the “open field” test. A software package was created for quantitative analysis of the neuron activity data. As a result, the study concluded that the most consistent data over the course of five days were the Pearson correlation coefficient for the active spike method (based on binary results from active phase segmentation) and the network degree level (the ratio of interconnected neurons depending on the presence of a connection). These measures displayed a high level of stability throughout the recordings. Furthermore, the PCA method applied to the calculated statistics indicated a close relationship between the coordinates that described the activity of the hippocampal neuronal network during the five-day testing period. The miniscope technique appears to be an effective tool for identifying shifts in neuronal networks during the progression of neurodegenerative diseases, such as Alzheimer’s disease [5]. It may also aid in detecting possible changes following neurological complications related to viral infections.

PROSPECTS OF THE POST-WAR DEVELOPMENT OF THE FOREIGN ACTIVE TRAVEL SEGMENT IN THE CONTEXT OF THE PREVIOUS CRISIS EXPERIENCE

The current pace of recovery of the global tourism industry after the COVID-19 pandemic demonstrates that the segment of active travel (“Adventure Travel” in the international classification) is the most resilient and adaptive to crises and has shown the most sustainable growth in recent decades (up to 17%). Thus, the segment of adventure tourism (more than 26% of all trips in the world) remains a true locomotive for the development of global tourism.
 In Ukraine, the development of this area has experienced fluctuations related to crises of various scales: from the global financial crisis of 2008, the annexation of Crimea in 2014, and the ATO (Anti-Terrorist Operation) in Donbas to the COVID-19 pandemic of 2020-2021 and the full-scale military aggression of the Russian Federation in Ukraine in 2022. All these shocks and subsequent changes in the mass character, geography, and structure of the active foreign travel segment revealed certain trends. Analysis of these trends can help determine the prospects for the development of this segment in the post-war period.
 The main purpose of the research is to study the development prospects of the foreign active travel segment in Ukraine in the post-war period.
 The article shows the background and describes the process of formation of this segment of travel in the period from the 1990s to the early 2000s. The features of the influence of motivational, geographical, and economic factors on the process of its formation in Ukraine are analyzed. It is shown that at this stage, the expansion of the geography of travel was initiated by amateur hikes, the main form of commercial tours was of a hiking type, and the budget segment prevailed in the price gradation of commercial tours.
 Since the mid-2000s, the popularity of hiking in foreign countries has sharply increased among Ukrainian tourists. The geography of hiking, climbing, river rafting, and trekking tours has grown to dozens of countries in a few years. The growing number and variety of trips abroad and the steady mass demand for commercial, sports, and amateur foreign active trips in the 2010s led to the formation of a new segment of active foreign travel for Ukraine. Unmet growth in demand in the period up to 2014 led to progress and expansion of the range of activities of regional tour operators in all price categories of travel. The budget and middle segment prevailed in the price gradation of commercial tours during this period.
 The article shows the process of formation of geographic and price segmentation of active tours in the market of proposals. The tendencies of changes in the structure of geographical and price indicators of the market during the crisis periods in Ukraine are analyzed. Based on the example of the main operators in this market segment, the trends in the price structure of demand, mechanisms for adaptation, and recovery of the market during the 2014 crisis are analyzed.
 The prospects for the development of the foreign active travel development segment after the end of the war in the medium term are shown.
 In particular, there will be a replacement of tours of the budget and partially middle price segments with domestic tours in regions not contaminated with explosive objects, namely in the Carpathians and Podilia.
 The number of amateur trips abroad will grow, and geography will continue to expand. At the same time, due to the rise in the price of air transportation, the cost of trips can increase by 1.5 times. Perhaps some of the regular customers of commercial tours who are accustomed to hiking conditions will participate in these trips.
 Active travel in the high and partially mid-price segments will remain in demand, as they will remain accessible to the target audience of this category of active travelers, but they will still not be widespread.
 Keywords: adventure tourism, active travel, amateur trips, low-cost airlines.

БИБЛИОТЕЧНЫЕ РЕСУРСЫ СЕТИ И МУЗЫКАЛЬНАЯ ИНФОРМАЦИЯ: СОВРЕМЕННОСТЬ НА ФОНЕ ТРАДИЦИЙ

The article briefly describes the current condition of music libraries as a deposi-tory of specific documents and also the peculiarities of working with the book selectors and catalogers in this segment of library activity. The article assesses the experience of library communication from the part of the main consumers of music library services and explains the reasons of the emergence of the al-ternative network initiatives of musicians that can have a significant influence on the conception of organizing library servicing.

Identification of Active Faults in Lahat and Empat Lawang Region, South Sumatra Province, Based on Seismicity and Focal Mechanism Analysis

The BMKG earthquake catalog data for the 2014-2022 period shows seismic activity in the Gumai Mountains, South Sumatra, which is located southeast of the Ketaun Segment, east of the Musi Segment, and north of the Manna Segment. Seismic activity in this area is important to study as an early indication of the presence of other active fault segments that have not been identified before. Re-analysis on the P and S wave phases picking was carried out for the 26 earthquakes in the period of 2014 to 2022 to ensure the quality of the data used in the processing. The double-difference method was then used to relocate the hypocenter of the earthquake based on a local velocity model to identify an active fault segment lineation in the area. In addition, waveform inversion method was used to obtain the focal mechanism for 7 earthquakes which were successfully analyzed to identify the fault plane direction. By combining the results of seismicity and focal mechanism analysis, we concluded that there are 3 fault segments that have not been identified before. These segments are thought to be strongly responsible for seismic activity in Gumai Mountains in Lahat and Empat Lawang Regencies, South Sumatra, which we determine to be part of the Great Sumatran Fault network.

A Study on the Factors Influencing Purchase Intention of Generation Z Users in Virtual Brand Community

As the first digital-native generation, Generation Z is the most diverse of all generations. Their lives are immersed in technology. This study proposes a model for investigating the formation of purchase intentions among Generation Z in virtual brand communities in China through the application of the S-O-R framework. The study employed a quantitative research method and collected data through the random distribution of surveys. The results confirm the validity of the S-O-R framework to better understand how purchase intentions can be fostered through interaction and information quality. The study finds that both content and interpersonal interactions, as well as information quality in virtual brand communities, have an impact on consumers purchase intentions. The study also highlights the importance of community brand identification and flow in affecting consumers purchase intentions and forming community brand identification. This study provides a model for understanding the application of the S-O-R framework in virtual brand communities and offers more brands a way to enhance user experience, increase purchase intentions, and appeal to Generation Z, who are set to become the most active market segment.

Deep Learning Approach for Human Action Recognition Using a Time Saliency Map Based on Motion Features Considering Camera Movement and Shot in Video Image Sequences

In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed. In current HAR methods, camera movement, sensor movement, sudden scene changes, and scene movement can increase motion feature errors and decrease accuracy. Another important aspect to take into account in a HAR method is the required computational cost. The proposed method provides a preprocessing step to address these challenges. As a preprocessing step, the method uses optical flow to detect camera movements and shots in input video image sequences. In the temporal processing block, the optical flow technique is combined with the absolute value of frame differences to obtain a time saliency map. The detection of shots, cancellation of camera movement, and the building of a time saliency map minimise movement detection errors. The time saliency map is then passed to the spatial processing block to segment the moving persons and/or objects in the scene. Because the search region for spatial processing is limited based on the temporal processing results, the computations in the spatial domain are drastically reduced. In the spatial processing block, the scene foreground is extracted in three steps: silhouette extraction, active contour segmentation, and colour segmentation. Key points are selected at the borders of the segmented foreground. The last used features are the intensity and angle of the optical flow of detected key points. Using key point features for action detection reduces the computational cost of the classification step and the required training time. Finally, the features are submitted to a Recurrent Neural Network (RNN) to recognise the involved action. The proposed method was tested using four well-known action datasets: KTH, Weizmann, HMDB51, and UCF101 datasets and its efficiency was evaluated. Since the proposed approach segments salient objects based on motion, edges, and colour features, it can be added as a preprocessing step to most current HAR systems to improve performance.

Millennial Generation Perception of Waisai District about Water Conservation Area the Raja Ampat Region

The Raja Ampat Water Conservation Area aims to protect and preserve biodiversity in the region, which is part of the Sea of the Head of the Birds of Papua. The Waisai District, the capital of Raja Ampat Regency, has the highest population of all the districts in Raja Ampat, with a population of 23,36 thousand people in 2023. The millennial generation has the highest percentage of 46% in the demographics of Raja Ampat District, making them an active audience segment in the country. The research method used in this study involved disseminating questionnaires using simple random sampling (SRS) to collect data from the millennial generation in Waisai City, India. The sample size was 10,057 people aged 20–44 in 2021. The study used the Slovin formula with a 90% confidence level. The total sample was 100 responden. The data was analyzed using Likert scale measurements, with each answer given a score. The assessment of respondents' interpretation of the conservation area perception was assessed using the index percentage formula. The conclusion of the discussion is that the Millennial Generation's perception of Raja Ampat Water Conservation Area is 58.47%, which falls within the criteria of “fair” or not fully understood. The results of the study showed that respondents' knowledge of conservation areas, both legislative, regulatory, territorial administrative boundaries, and zooning programs, was at a score below 60. Information on social media had a real impact on knowledge related to the status of the conservation area of Papua. The greatest perception score was about the four zonings on King Ampat's conservation status because many respondents were aware of it from various campaigns and socialization from various viewpoints.

Pengolahan Citra Untuk Mengetahui Derajat Korosi Pada Insulator Dengan Metode Decision Tree

One of the important parts that ensures the availability of electrical energy supplies which takes place from the central power plant and then through the transmission line to distribution to the load is the insulator. However, over time, insulators can experience anomalies such as corrosion. Insulator corrosion can be caused by many environmental factors, including pollution, humidity, high temperatures and exposure to chemicals. Previously, maintenance personnel usually identified the level of corrosion on insulators visually by using their knowledge and experience through routine inspection activities to check the condition of the insulators. This technique, however, takes a long time and is often subjective. Therefore, in this research, the way to detect the degree of corrosion on insulators is by using image processing and using active contour segmentation to determine the degree of corrosion on insulators and using decision trees as a method to create a classification model for the degree of corrosion. This can help reduce reliance on subjective human judgment, increase the effectiveness of the recognition process, and optimize overall isolator maintenance efforts. The application created in this research has a user interface that makes it easier to process images of corrosion insulators. The front page, practice page, and test page comprise this interface. Meanwhile, the results of classification using a decision tree for the low category are in the ratio x1 < 0.082104, the medium category is in the ratio 0.082104 =< x1 < 0.15061, and the high category is in the ratio x1 >= 0.15061 with an accuracy result obtained of 93.33% for test image data and recall and precision values ​​obtained 100% results.

The predictive role of left ventricular cathode topography relative to CMR-determined latest mechanical activation and scar segments on response to cardiac resynchronisation therapy

Abstract Background Cardiac resynchronisation therapy (CRT) is still burdened by considerable rates of non-response. Herein left ventricular cathode (LVC) positioning has the greatest room for optimisation. Nonetheless, a purely CMR-based approach exploring LVC topography relative to both mechanical delay and tissue viability is yet to be investigated. Purpose To retrospectively analyse the effect on reverse remodelling of CMR-determined LVC topography relative to latest mechanical activation (LMA) and scar segments in a CRT population. Methods This is a retrospective single-centre analysis of 104 CRT-D/P consecutive patients with CMR performed within 6 months before implantation. Electrical delay (Q-LV time) was mapped on all suitable veins with LV lead positioning and cathode programming set in the region of latest electrical activation. Through CART-Tech® software analysis of CMR images, 36-segment 3D anatomical models of radial strain and scar were superimposed on their corresponding fluoroscopy images (Figure 1). Patients were then stratified based on LVC concordance (within), semi-concordance (adjacent) or non-concordance (at least one segment away) with LMA and scar segments (defined as segments with >50% scar transmurality). Follow-up echocardiography was performed at least 6 months after implantation and the degree of reverse remodelling expressed as percentage reduction in end-systolic volume (ESV). Results Of the 104 patients, 36 were excluded due to suboptimal CMR quality (8), switch to conduction system pacing (5), loss to follow-up (18) or death within 6 months of implantation (5), leaving a total of 68 (63 CRT-D and 5 CRT-P). LVC concordance with LMA was associated with a statistically significant improvement in reverse remodelling (Figure 2, A), while the contrary occurred with regards to scar (Figure 2, B). A greater impact of distance from scar compared to LMA proximity was observed, thus a combined analysis of LVC topography relative to both was developed accordingly. Patients were stratified into 4 categories of LVC optimality: optimal (LVC-LMA concordance + LVC-scar non-concordance), semi-optimal (LVC-LMA semi-concordance + LVC-scar non-concordance), suboptimal (LVC-LMA non-concordance + LVC-scar non-concordance), and unfavourable (LVC-scar semi-concordance or concordance regardless of LVC-LMA). The unfavourable group had higher rates of atrial fibrillation, non-LBBB QRS morphology and higher scar burden, while no significant differences were observed in the other 3 groups. This classification appears to predict the degree of reverse remodelling, ESV reduction being more pronounced the more optimal the group (Figure 2, C). Conclusions CMR-determined LVC topography relative to LMA and scar segments predicts left ventricular reverse remodelling in Q-LV-guided CRT implants. Optimisation of CRT response may thus benefit from a CMR-based approach assessing mechanical delay and tissue viability to guide LVC positioning.Figure 1Figure 2

An Improved Approach for Atrial Fibrillation Detection in Long-Term ECG Using Decomposition Transforms and Least-Squares Support Vector Machine

Atrial fibrillation is a common heart rhythm disorder that is now becoming a significant healthcare challenge as it affects more and more people in developed countries. This paper proposes a novel approach for detecting this disease. For this purpose, we examined the ECG signal by detecting QRS complexes and then selecting 30 successive R-peaks and analyzing the atrial activity segment with a variety of indices, including the entropy change, the variance of the wavelet transform indices, and the distribution of energy in bands determined by the dual-Q tunable Q-factor wavelet transform and coefficients of the Hilbert transform of ensemble empirical mode decomposition. These transformations provided a vector of 21 features that characterized the relevant part of the electrocardiography signal. The MIT-BIH Atrial Fibrillation Database was used to evaluate the proposed method. Then, using the K-fold cross-validation method, the sets of features were fed into the LS-SVM and SVM classifiers and a trilayered neural network classifier. Training and test subsets were set up to avoid sampling from a single participant and to maintain the balance between classes. In addition, individual classification quality scores were analyzed for each signal to determine the dependencies of the classification quality on the subject. The results obtained during the testing procedure showed a sensitivity of 98.86%, a positive predictive value of 99.04%, and a classification accuracy of 98.95%.

A Phase 2 Study of Ponatinib for Prevention of Relapse after Allotransplantation in FLT3-ITD + AML Patients : The Ponallo Trial

Background : For acute myeloid leukemia (AML) patients relapse remains a major issue after allogeneic stem cell transplantation (allo-SCT). In those with a FMS-like tyrosine kinase 3-internal tandem duplication (FLT3-ITD+), survivals have been improved with the use of small molecule Flt3 receptor protein-tyrosine kinase inhibitors in maintenance due to a significant decrease of relapse after allo-SCT. Ponatinib (pona) is a multikinase inhibitor that is approved for the treatment of Philadelphia chromosome-positive acute lymphoblastic and chronic myelogenous leukemias. It has also activity against FLT3-mutants including ITD and ITD691L but not D835 within the Flt3 activation segment. Pona may then represent an alternative drug for maintenance after allo-SCT in FLT3-ITD+ AML patients. Methods : This was a multicenter phase 2 non-randomized prospective study testing the efficacy and tolerability of pona after allo-SCT in FLT3-ITD+ AML patients (ClinicalTrial.gov ID : NCT03690115). The main objective was the incidence of relapse at 2 years post-transplant with the hypothesis that this incidence at 2 years will be reduced at 15% instead of 30%. Seventy-seven patients had to be included. Inclusion criteria were all patients, aged between 18 and 70 yo, with a FLT-3 ITD+ AML in cytologic complete remission (<5% of bone marrow blasts) and a documented engraftment at the time of starting pona after an allo-SCT using any type of conditioning regimen and donor. The control of a GVHD (if present) was mandatory as well as a platelets count ≥70 Giga/l and a neutrophils count ≥ 1 Giga/l at time of inclusion. The study was supported by Incyte. Initially, pona administration had to start between day +60 and +90/100 at the dose of 30 mg/day for 1-year. However, because of excesssive hematopoietic toxicity, an amendment was made after the 14th patient to start pona between day 100 and day 120 post-allo. During the study, It was allowed to restart pona at 15 mg/day after resolution of 30 mg dose related toxicities. After 1 year of pona it was not allowed to start a new FLT3 inhibitor or pursue pona. Results : Twenty-three patients were included between December 2019 and April 2022. Among them, 22 were effectively treated. Indeed, the last patient included did not receive pona due to hepatic abnormalities incompatible with the start of pona. Also, because of a very low rate of enrollment, the trial was closed prematurely in accordance with the sponsor in December 2022. Results for the 22 treated patients are reported here. Patient characteristics are given in Table 1. With a median follow-up of 740 days (range : 374-930), 1-y and 2-y overall survival were 81.3% (66.3-99.6) and 63.9% (45.4-90.0), and 1-y and 2-y leukemia-free survival were 54.5% (37.2-79.8) and 49% (31.8-75.7), respectively. Ten relapses occured at a median of 186 days (range=69-481) after allo-SCT with a CI of relapse of 45.5% at 2 years. Pona was started at a median of 69 days post-allo-SCT (range : 60-130). The median duration of treatment was 75.5 days (range : 4-369). Only 3 patients received one year of treatment and all at 30 mg/day as required by the protocol. The reasons for stopping pona were toxicity in 11 patients, relapse in 6, toxicity then relapse in 1, GVHD then relapse in 1. Among the 13 patients who stopped pona for toxicity or GVHD, 6 restarted pona (15 mg n=5, 30 mg n=1) then stoppped again for toxicity (n=4) or progression (n=2). A total of 36 adverse events related to pona were documented in 17 patients. The majority was grade 1 or 2 (n=27, 75%) while 6 grade 3 (17%) and 3 grade 4 (8%) occured. ( Table 2) Conclusion : Ponatinib administration after allo-SCT is associated with toxicity and do not reduce relapse or improve survival in this small cohort of FLT3+ AML patients. Other FLT3 inhibitors have to be considered in FLT3+ AML patients for maintenance after allo-SCT.

Strategi Kehumasan Pemerintah Kota Tangerang dalam Mensosialisasikan Kegiatan Porprov VI Banten melalui Media Sosial

As the times continue to develop, it is important for Public Relations officers to have new strategies to attract public attention and can include segmentation of local government activities. This study aims to determine the public relations strategy of the Tangerang City Government in disseminating Porprov VI Banten activities through social media. To explain this situation, researchers use qualitative methods. The results obtained were that the public relations strategy carried out by the Tangerang City Government Diskominfo was assessed by researchers as running according to the Cutlip, Center & Broom public relations strategy “7-CS Communication”. The communication activities they carried out in socializing governmental activities, such as Porprov VI Banten activities and information on other activities, were considered by researchers to be quite effective and efficient in attracting public interest to participate in Porprov VI Banten activities because they utilized various social media channels and packaged interesting information. To overcome obstacles in managing social media accounts owned by the Tangerang City Government, the Public Relations of the Tangerang City Government always coordinates with the team for the distribution of work.

Traffic injury as a medical and sanitary consequence of a man-made emergency in Ukraine. Report one: clinical and epidemiological characteristics

Background. Road traffic injuries remain one of the main causes of death in Ukraine even during the war. The Code of Civil Protection of Ukraine (Article 2, Clause 6) recognizes a traffic accident as a type of emergency. The purpose of the study: to form a comprehensive characterization of a traffic injury as a medical and sanitary consequence of a man-made emergency. Materials and methods. Typical territorial formations of Ukraine, namely cities with a population of more than 1,000,000 people, a typical regional center and rural areas, were included in the general research model. These components were chosen in compliance with the law of large numbers, regarding the requirements of typicality and the scope of the study. To meet these requirements, we selected a total of 1,696 victims of road traffic accidents who were included in the research array from the array of 21,000 victims using the random number method, while maintaining the component proportionality criterion. This study was conducted using the methods of epidemiological natural modeling, formal logic, fractal analysis, clinical standardization and medical statistics. Results. The specific weight of men injured in road accidents is 66.86 %, which is twice the number of women injured in road accidents. A significant effect of gender on the survival rate of victims was found: men survive in 88.71 %, and women in 91.99 % of cases. In the general array, majority of patients are persons of the most working age — 21–50 years old (63.33 %). In general, there is a tendency to decrease the specific weight of road accident victims starting from the age of 21, as the age factor increases. The highest rate of survival was recorded in the group of 21–30 years — 93.81 %, and the lowest — in people over 71 years of age — 75.27 %. Pedestrians have the largest specific weight in the total array, almost 40 %, and passengers have the lowest one — 24.65 %. In general, active road users make up 75.35 % of the total number. In the array of drivers who died, the specific weight of men is 90.32 %, and the fatality rate is 5.32 %. At the same time, the mortality rate for women is 3.95 %. The specific gravity of deceased male pedestrians is 70.64 %, while the fatality rate is 18.16 %, and among women this rate is 12.75 %. In all age groups, there is a different nature of the distribution of the negative outcome of traumatic process based on participation in the movement. At the same time, in all age groups, most victims who died are pedestrians. It was found that the age has a significant influence on the occurrence of a fatal outcome in traffic participants, with its greatest influence in victims older than 50 years. Conclusions. The clinical and epidemiological characteristics of victims of road accidents in Ukraine, as a medical and sanitary consequence of a man-made emergency, indicates that road traffic injuries are a significant medical and social problem in our country. This is due to the fact that they predominantly affect the most economically active segment of the population, which contributes significantly to the national product. The clinical and epidemiological characteristics of road traffic injuries in Ukraine have certain aspects, unlike other countries of the world, as a reflection of the peculiarities of life of population in our country. All clinical and epidemiological signs are risk-creating factors for the occurrence of a negative outcome of traumatic process due to the presence of a probable influence on this result and require verification of risks.

An allosteric switch between the activation loop and a c-terminal palindromic phospho-motif controls c-Src function

Autophosphorylation controls the transition between discrete functional and conformational states in protein kinases, yet the structural and molecular determinants underlying this fundamental process remain unclear. Here we show that c-terminal Tyr 530 is a de facto c-Src autophosphorylation site with slow time-resolution kinetics and a strong intermolecular component. On the contrary, activation-loop Tyr 419 undergoes faster kinetics and a cis-to-trans phosphorylation switch that controls c-terminal Tyr 530 autophosphorylation, enzyme specificity, and strikingly, c-Src non-catalytic function as a substrate. In line with this, we visualize by X-ray crystallography a snapshot of Tyr 530 intermolecular autophosphorylation. In an asymmetric arrangement of both catalytic domains, a c-terminal palindromic phospho-motif flanking Tyr 530 on the substrate molecule engages the G-loop of the active kinase adopting a position ready for entry into the catalytic cleft. Perturbation of the phospho-motif accounts for c-Src dysfunction as indicated by viral and colorectal cancer (CRC)-associated c-terminal deleted variants. We show that c-terminal residues 531 to 536 are required for c-Src Tyr 530 autophosphorylation, and such a detrimental effect is caused by the substrate molecule inhibiting allosterically the active kinase. Our work reveals a crosstalk between the activation and c-terminal segments that control the allosteric interplay between substrate- and enzyme-acting kinases during autophosphorylation.

MEANS OF VIDEO ART: KHARKIV PROJECTS «IN THE DARK» AND «LIUTYI»

The article examines the use of moving image and video practices as a means of visual activity in the cultural and artistic exhibition environment. The analysis is based on the influence of the visual in the context of social and contemporary art. This problem is raised in the theory of Ukrainian art criticism about Ukrainian video art in a visual way and represents the testing of art projects. The aim is to analyze and define the segments of visual activity of Kharkiv video art using the examples of the projects In the Dark and Liutyi. The analysis of sources and recent publications has revealed a high degree of research on the emergence of video art and the reasons for the emergence of a new screen form in the global context, but in the context of the contemporary development of Ukrainian video art and the peculiarities of the use of moving image in the practices of Ukrainian artists at the level of local and regional schools, it has not been properly and deeply studied. The artistic direction of video art, which emerged at the turn of the twentieth and twenty-first centuries, has not received structuring and theorization of the main technical and technological means of reproduction and representation of forms and hybrid forms, including a study of the artistic practices of Kharkiv video art and its place in the general context of the regional peculiarities of Ukrainian video art. The study of these issues and the development of these principles are the most relevant issues for the Ukrainian artistic process. It is important to note that art projects such as In the Dark and Liutyi, which use video art, have a common idea, a common space and environment. They develop the aesthetics of a loft space for immersion in a new reality that creates a moving image and is also part of the contemporary creative industry. Artistic visions change the viewer’s emotions and mental component into a transformed sense of reality, causing a state of immersion, combining different and distant associations in one trope and leading to a synthesis of several sensations, which actualizes the personal, visual and deepens the social sense of the individual.

Geographical Information System Enhancement Using Active Learning-Enhanced Semantic Segmentation

Images captured by drones are increasingly used in various fields, including geographic information management. This study evaluates a procedure that incorporates active learning semantic segmentation for verifying the building registration ledger. Several semantic segmentation techniques were evaluated to extract building information, with ResNet identified as the most effective method for accurately recognizing building roofs. Using active learning, the training data were refined by removing instances with low similarity, leading to improved network performance of the model. The procedure was demonstrated to identify discrepancies between the building information system and the inferred label images, as well as to detect labeling errors on a training dataset. Through this research, the geographic information system dataset is enhanced with minimal human oversight, offering significant potential for urban planning and building detection advancements.

Analysis of a Segmented Axial Active Magnetic Bearing for Multi-MW Compressor Applications

In high-speed compressor and turbine applications, active magnetic bearings are employed to increase reliability, reduce maintenance, and provide contact-free and oil-free operation. Evidently, the dynamic performance of active magnetic bearings must correspond to application-specific events like compressor surge or thrust disturbances. This article presents a segmented stator as one of the solutions to increase the bandwidth of axial active magnetic bearings (AMBs) and further improve the stability of the shaft system. We analyze the effects and discuss the tradeoffs of axial active magnetic bearing stator segmentation and slitting to alleviate bandwidth limitations. Finite element method design optimization and control plant modeling methods, open- and closed-loop tests, and identification of the overall thrust AMB–rotor control plant are studied.