Results Of Monitoring Research Articles

Arduino microcontroller based real-time monitoring of haemodialysis process for patients with kidney disease

The efficient and precise monitoring of the haemodialysis process is critical for the well-being of patients suffering from end-stage renal disease (ESRD). In this work, a comprehensive study on the utilization of Arduino microcontroller-based systems for real-time monitoring, data acquisition and control of the haemodialysis process is presented. Arduino instrumentation unit was developed for an in vitro Haemodialysis (HD) system using Atmega 328 and Arduino nano microcontrollers. Haemodialysis process was conducted using in vitro haemodialysis system. Temperature probes (model DS18B20), conductivity probes (model EC-PPM-TDS) and weight sensor (load cell type HX711, 10 kg max stain gauge type) were used for real-time measuring and monitoring blood and dialysate temperatures, conductivities, and blood weight respectively. Simulink interface embedded in MATLAB software R.2019 was used as microcontroller software interface. In vitro HD result of the real-time monitoring indicated that initial and final measurement for blood temperatures gave 32.8 – 36.5 °C at set dialysate temperature 37 °C respectively, blood and dialysate conductivity 2 - 3.5 mS/cm and intradialytic blood weight 187.5 g – 147.5 g. This paper offers valuable insights into the implementation of Arduino microcontrollers for real-time monitoring of the haemodialysis process, with a strong emphasis on patient safety, data generation and data security. The research presented contributes to the advancement of technology in the field of nephrology and has the potential to significantly impact the quality of life for ESRD patients undergoing haemodialysis.

Совершенствование методов и средств геомеханического мониторинга на основе цифровых технологий

The article discusses methods and technical means of instrumental assessment and control of rockburst hazard and technogenic seismicity during underground mining of ore. It is shown that in conditions of rockburst manifestation and anthropogenic seismicity, complex geomechanical monitoring with the use of a number of complementary methods and technical means is of key importance. The principles of measuring and computing complex construction and organization of integrated monitoring are disclosed using the case of a system created at the geodynamic testing sites of the area of the Streltsovsky and Dalnegorsky ore fields. The features and technical characteristics of measuring as well as software tools included in the monitoring system are listed. Algorithms and software have been developed to filter man-made interference and isolate useful signals, improve the accuracy of location and determination of parameters of acoustically active zones, processing and presentation of monitoring data using modern digital technologies. The scientific and methodological approaches to the study of extremely stressed complex-structured geological environment and the prediction of the hazardous dynamic manifestations of rock pressure in them, including those based on the isolation and parametrization of geomechanical fields and foci of destruction formed in a rockburst hazardous rock mass, are described. The results of complex geomechanical monitoring at a number of rockburst hazardous mines in Russia are presented and the possibility of effective management of rock pressure in rockburst hazardous conditions is shown.

COMPARATIVE ANALYSIS OF PATIENT SAFETY CULTURE DYNAMICS IN UKRAINE AND THE USA HEALTHCARE FACILITIES REFERENCE TO ESTABLISHING SAFE HOSPITAL ENVIRONMENT

Introduction. WHO widely draws the attention of the world community to safety culture as an effective basis for ensuring safety in the hospital environment. However, WHO warns that "changing culture is more difficult than introducing new structural and organizational mechanisms". Therefore, systems for assessing patient safety culture in hospitals are widely used in many countries today.
 The aim of the study. To analyze and compare the dynamics of patient safety culture in Ukraine and the USA healthcare facilities.
 Materials and methods. The study utilized bibliographic, statistical, and sociological research methods. The research material consisted of a questionnaire survey of medical personnel on patient safety culture in 2016 (163 surveys from 3 healthcare facilities) and a questionnaire survey conducted in 2023 (174 surveys from 4 healthcare facilities). Results of patient safety culture monitoring in US hospitals for 2014 and 2021 were used for comparison. The survey of medical personnel was conducted using the AHRQ leadership questionnaire.
 Results. The percentage of positive responses for 5 out of the 12 characteristics of patient safety culture that we investigated in domestic healthcare facilities in 2023 was significantly lower than in 2016. The main reason for this negative trend in patient safety culture within domestic healthcare facilities can be attributed to the COVID-19 pandemic and Russia's military aggression, but the primary cause lies in the absence of a comprehensive strategy for improving this culture. Over the past 8 years, the proportion of respondents willing to disclose errors in their professional activities, as well as the mistakes of their colleagues and other incidents, without fearing that their mistakes and incident reports will harm them, has remained largely unchanged. The slight trend toward improvement in patient safety culture indicators in US hospitals, despite significant attention to it, indicates the challenges we face in the journey towards forming a positive safety culture.
 Conclusions. The prevailing reactive safety culture in domestic healthcare, along with the lack of positive changes, hinders the implementation of modern safety strategies in the medical field. The data from our own research and scientific literature highlight the urgent need for in-depth examination of the state of patient safety culture in domestic healthcare facilities and the development of a methodological framework adapted to international standards for evaluating safety culture in medical institutions. The formation of a positive national culture in general, and safety culture within healthcare facilities in particular, should be regarded as a crucial prerequisite for the post-war reconstruction of the country and its integration into the civilized, economically developed global community.

Short communication: Retrospective analysis of obligatory testing results for Equine virus arteritis reveals a decrease of its seroprevalence in stallions used for artificial insemination

Equine viral arteritis (EVA) can induce a persistent carrier state in stallions which then shed the virus via semen. About 30 years ago, obligatory EVA testing of stallions used for artificial insemination (AI) was implemented in the European Union. Information on the efficacy of these regulations on the prevalence of EVA in stallions are not yet available. Therefore, we retrospectively analyzed results of serological and virus antigen testing for EVA in sires of different age and breed referred to Vetmeduni Vienna for semen preservation or veterinary diagnostic procedures between 2001 and 2021. For analysis, stallions were grouped by age (1–5, 6–8, 9–12, >12 years) and breed. The EVA antibody titer was determined by serum neutralization test and semen was analyzed for EVA virus by PCR and/or virus isolation test. Of 308 stallions tested, 14.9% (n = 46) were EVA seropositive and in 12 stallions EVA virus was detected in semen (26% of seropositive stallions). The incidence of seropositive stallions decreased over time (P < 0.05, χ2 test). Differences in the seroprevalence of EVA antibodies existed among stallion age groups (P < 0.01, Fisher’s test) with the highest percentage of seropositive stallions being > 12 years old (43.5%). The EVA antibody titer increased with age (P < 0.01, Kruskal-Wallis test), potentially reflecting repeated virus challenge. In conclusion, analysis of monitoring results revealed a decrease of EVA seroprevalence and virus shedding in a European sire population. As monitoring for EVA was the only measure implemented Europe-wide, testing might be a major contributor to this development.

Multi-residue monitoring and dietary risk assessment of 17 pesticides and 3 related metabolites in rice and rice flour from markets in China.

Pesticide residues in rice have attracted widespread public attention in recent years. This research aimed to monitor the residues of 17 pesticides and their 3 metabolites in 120 samples of rice and rice flour collected from markets in China using the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, Safe) pretreatment method combined with high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The monitoring results showed that isoprothiolane, tricyclazole, fenoxanil, and tebuconazole were detected in the rice samples, with detection frequencies of 33.3%, 17.5%, 8.3%, and 2.5%, and concentrations ranging from 0.02 to 0.1 mg/kg (median = 0.04), 0.01 to 0.17 mg/kg (median = 0.14), 0.04 to 0.06 mg/kg (median = 0.05), and 0.01 to 0.02 mg/kg (median = 0.01), respectively. The residues of these four pesticides were all below their corresponding maximum residue levels (MRLs) set by China. Additionally, isoprothiolane, tricyclazole, fenoxanil, and tebuconazole were detected in rice flour samples, with detection frequencies of 74.2%, 55.0%, 5.0%, and 2.5%, and concentrations ranging from 0.01 to 0.1 mg/kg (median = 0.04), 0.01 to 0.04 mg/kg (median = 0.02), 0.01 to 0.06 mg/kg (median = 0.03), and 0.02 to 0.04 mg/kg (median = 0.03), respectively. Furthermore, the chronic dietary intake risk (HQc), the acute dietary intake risk (HQa), and cumulative dietary risk (HI) for all the detected pesticides were evaluated and found well below 100%, indicating that the dietary intake risks would not pose potential health risks.

Microbiological spectrum of SSI pathogens in patients with chronic infectious spondylitis requiring revision surgery: results of continuous monocentric 5-year monitoring

Objective. To analyze the results of the continuous monocentric 5-year microbiological monitoring of causative agents of surgical site infection (SSI) in patients who underwent primary surgery for chronic infectious spondylitis and required revision surgery.Material and Methods. The study included patient data from 2018 to 2022. The primary cohort included 569 consecutively operated patients with chronic infectious spondylitis of nonspecific (n1 = 214) and tuberculous (n2 = 355) etiology. The analyzed sample was formed taking into according to inclusion and exclusion criteria. Thus, in 99 patients who required revision surgical interventions due to the development of SSI, a continuous microbiological monitoring of pathogens was performed, including the assessment of drug resistance and the timing of the development of infectious complications. Periodization of the time of SSI development was performed according to the accepted classification of Prinz et al. (2020), the assessment of drug resistance spectrum was performed according to the EUCAST recommendations (2020) and taking into account the approved methodological recommendations.Results. In the general structure of surgical interventions for chronic infectious spondylitis, the share of revision interventions due to the development of SSI was 17.4 %. The highest incidence of complications was noted in the late postoperative period (χ2 = 9.237; p = 0.009). Bacterial detection from the material of vertebral localization was noted in 43 cases (48.3 %), pathogen strains were isolated in urine in 28 (60.8 %), in decubital ulcers in 11 (23.9 %) and in hemoculture in 7 (15.2 %) patients. Culture negative SSI was detected in 10 cases (10.1 %) in the late period. Infectious complications in the setting of chronic non-specific spondylitis were detected more frequently than in spondylitis of tuberculous etiology (χ2 = 21.345; p &lt; 0.001). Gram-positive multidrug-resistant and Gram-negative bacteria with extreme resistance prevailed in the microbiological landscape of late SSI, and Gram-positive strains without drug resistance in that of early and delayed SSI (χ2 = 17.516; p = 0.0032).Conclusion. Drug-resistant Gram-positive bacteria predominate in the structure of SSI with a significantly higher frequency of complication development. Nonspecific etiology of spondylitis is associated with a significantly higher incidence of SSI. In the absence of a positive result of bacteriological examination of the material of vertebral localization, it is advisable to collect blood, decubital ulcer secretion and urine sampling.

Medical and sociological analysis of health indicators of medical workers

The health of the population is an important indicator of the high level of state development. Morbidity with temporary disability affects the working potential of the pop ulation and the economy as a whole. The purpose of the research is to study and analyze occupational morbidity among medical workers in order to further optimize the conditions and nature of work. The morbidity of the working-age population is characterized by a high number of cases and duration in days of diseases of the respiratory system, the circulatory system, and the musculoskeletal system. Thus, according to the age and gender criterion, the incidence of the diseases of the circulatory system, blood and hematopoietic organs, respiratory organs, skin, and subcutaneous adipose tissue tends to increase among the young population under 40 years of age, while infectious and parasitic morbidity, diseases of blood and hematopoi etic organs, and the incidence of the circulatory system diseases rise among the population over 40 years of age. The results of sociological monitoring showed that in about 70 % of cases, doctors noted a deterioration in their health status, but issued temporary disability leaves only in 30 % of cases. Nursing personnel also issued sick leaves only in 50 % of cas es, while they felt a deterioration in their health status in 50 % of cases. It is also worth noting that, while on sick leave, medical personnel go to work in almost 40 % of cases; the reason for this was the production necessity or the lack of labor force. The re spondents indicated respiratory diseases, infectious and parasitic diseases, and diseases of the musculoskeletal system as the leading cause of temporary disability.

Development of continuous monitoring of ambient carbon dioxide using near-infrared quartz-enhanced photoacoustic spectroscopy

We demonstrate continuous measurement of carbon dioxide (CO2) in the atmosphere using quartz-enhanced photoacoustic spectroscopy (QEPAS) at 2.008 μm with a fiber-coupled distributed-feedback laser. The QEPAS sensor is composed of a quartz tuning fork with a resonance frequency f 0 of 12.4 kHz. The photoacoustic second-harmonic (2f) signal resulting from CO2 absorption was detected using a digital lock-in amplifier. The photoacoustic signal is proportional to the laser power. The limit of detection at an absorption line of 4980.13161 cm−1 with a line strength of 3.87 × 10−22 cm2 molecule−1 cm−1 was 12 parts per million with an integration time of 10 s. The results of the continuous monitoring of ambient CO2 using the QEPAS sensor corresponded to those obtained using a nondispersive IR sensor. The QEPAS sensor exhibited a suitable performance for field measurements of the CO2 mixing ratio.

Smartphone-Assisted EY@MOF-5-Based Dual-Emission Fluorescent Sensor for Rapid On-Site Detection of Daclatasvir and Nitenpyram.

Fluorescent metal-organic frameworks (MOFs) are promising sensing materials with tunable and robust structural properties and remarkable luminescent capabilities. In this study, a novel dual-emission fluorescent metal-organic framework (EY@MOF-5) composite is synthesized by a one-pot bottle-around-ship approach. Eosin Y (EY) is encapsulated in MOF-5 to enhance its fluorescence properties and selectivity, effectively addressing typical MOF-5 limitations. EY@MOF-5 serves as a versatile dual-functional fluorescent sensor for two different analytes, daclatasvir (DCT) and nitenpyram (NTP), showing an impressive linear range of 10-200 nM and 0.1-300 μM, with detection limits of 233 pM and 65 nM, respectively. The established method is ultrafast, highly sensitive, and extremely selective for DCT and NTP detection in complex biological and food samples. Fluorescence results are compared and validated with the recommended UPLC method. Then, a smartphone-integrated sensing system is introduced for on-site, real-time, and quantitative analysis of DCT and NTP. The smartphone-assisted intelligent sensing method manifests promising results for DCT and NTP monitoring in biological and food samples, demonstrating its promising potential for the on-site detection of biologically and environmentally significant analytes.

Подготовка кандидатов в замещающие родители: какие компетенции нужны сегодня для воспитания приемного ребенка?

&lt;p style="text-align: justify;"&gt;&lt;span lang="EN-US"&gt;The article is devoted to the discussion of the formation of new competencies for candidates for foster parents (adoptive parents, guardians, trustees, adoptive parents) necessary to create conditions for family care for foster children and represent their legitimate interests. The article presents the results of monitoring by the Ministry of Education of Russia (2019 and 2022) on the activities of Schools for foster parents in the constituent entities of the Russian Federation. The monitoring was carried out in order to study the compliance of the activities of authorized organizations with the requirements and recommendations of federal legislation, as well as the forms of work used in the preparation of potential candidates for foster parents. The monitoring analysis is supplemented by the data of a public opinion poll conducted among the participants of the All-Russian Forum of Foster Parents (2023), which revealed a trend towards an increase in the request from foster parents to change the content of the program of foster parents' schools, and also focused on topics in insufficient detail (according to according to the respondents) presented in the training program, but necessary for the effective management of situations related to the care of orphans and children left without parental care.&lt;/span&gt;&lt;/p&gt;

Комплексный экологический мониторинг негативного воздействия нефтесодержащих отходов в районах нефтяных месторождений как объекта экологического риска

In this paper peculiarities of negative impact of oil-containing waste to humans and biosphere and approaches to its estimation are considered. For the estimation of ecological risks of negative impact of oil-containing waste in areas of oil and gas fields it is suggested to take into account not only its toxicological and quantitative characteristics, but also the degradation of the territories of fields, potential recultivating capacity of fields, suitability of wastes for utilization etc. Negative ecological impact not only from operation but also from mothballed oil well should be investigated. Results of complex experimental researches of negative impact of oil-containing waste in regions of development and exploitation of oil and gas fields are described. In number of cases increased values of oil containing waste and heavy metals were determined in soil and in water environment. For oil wells of Mogutovskoye field acute toxicity of soil samples near to the wells and excess over maximum permissible concentrations of methane were determined. Results of monitoring of toxicological impact of oil containing waste in areas of different oil fields of Samara region and in oil treatment plants by using of biological testing methods have showed that a number of samples have enlarged toxicity and are causing acute toxic effect to the test-organisms – green algae Chlorella vulgaris Beijer and Scenedesmus quadricauda (Turpin) Brébisson, crustaceans Daphnia magna Straus. In number of cases increased values of oil products was observed. Thus, it was determined that negative impact of oil-containing waste in areas of oil fields is complex in nature and may cause significant ecological risks for air, water and soil. Results of work allow us to carry out more efficient and high quality monitoring of negative impact of oil-containing waste and estimation of ecological risks as well as to develop the measures for reduction of negative impact of oil-containing waste.

Multi-condition tool wear prediction for milling CFRP base on a novel hybrid monitoring method

In the carbon fiber-reinforced plastic milling process, the high abrasive property of carbon fiber will lead to the rapid growth of tool wear, resulting in poor surface quality of parts. However, due to the signal data distribution discrepancy under different working conditions, addressing the problem of local degradation and low prediction accuracy in tool wear monitoring model is a significant challenge. This paper proposes an entropy criterion deep conditional domain adaptation network, which effectively exploits domain invariant features of the signals and enhances the stability of model training. Furthermore, a novel unsupervised optimization method based on tool wear distribution is proposed, which refines the monitoring results of data-driven models. This approach reduces misclassification of tool wear conditions resulting from defects in data-driven models and interference from the manufacturing process, thereby enhancing the accuracy of the monitoring model. The experimental results show that the hybrid method provides assurance for the accurate construction of tool wear monitoring model under different working conditions.

Monitoring of the development of blue-green algae in the Kuibyshev reservoir using remote sensing indices

The research presents the results of remote monitoring of blue-green algae of the Kuibyshev reservoir, leading to eutrophication of the reservoir. Multispectral images were taken by the European Space Agency’s Sentinel-2 remote sensing satellite and were processed by using QGIS software. Satellite images were processed using spectral indices. After using several spectral indices, the three most informative ones were selected: NDVI, NDWI and SIPI. The usage of processed images made it possible to define the boundaries of the distribution of blue-green algae more clearly, as well as the zones of the most intensive development of biomass. The use of several spectral indices made it possible to determine the most suitable data for the usage under adverse meteorological conditions. The analysis of the processed satellite images makes it possible to assess the intensity of the development of blue-green algae. This is the basis for the development of a forecast model of biomass changes in the reservoirs of the middle zone of the Russian Federation.

Study of time indicators of public transport operation depending on the season of the year

Mobility problems in large cities of Ukraine and Eastern Europe are complicated by the fact that the increase of private transport volume significantly exceeds street and road network`s capacity. This is most noticeable during peak periods in terms of daylight hours and throughout the year. From the point of sustainable mobility view, this negative phenomenon significantly affects urban public transport, which does not have separate dedicated traffic lines. This article analyzes the issue regarding the deterioration of the transport situation in large cities. The reason for this is the increase in traffic on main streets during the day peaks, as well as the presence of seasonal traffic factors. If the issue of the occurrence and traffic jams duration and the increase in the correspondence time of private transport is sufficiently studied, then the problems of changing the schedules of public transport and taking into account the increase in the trip duration depending on the time of year need to be clarified. The routes of public transport, which do not have a separate infrastructure and move in the general flow together with private cars, were chosen for the study. According to the results of remote monitoring of public transport, a change in the trip duration and time lost due to the boarding and disembarking of passengers on similar trolleybus routes in different seasons was established. Based on the obtained data, a matrix of trip duration unevenness coefficients for public transport routes was formed, and a measure of the seasonality effect on these indicators was established. The obtained results make it possible to quantitatively determine the influence of the season and time of the day on the change in the trip duration, which can be applied in further studies using simulation tools and for practical use in drawing up seasonal traffic schedules. The results of the research complement the currently relevant scientific works, which concern the problems of seasonal mobility, as well as the influence of the social infrastructure objects functioning (schools, kindergartens, and other educational institutions) of cities on the peak load of the street and road network, which extends the duration of traffic not only for private but also public transport.

A novel physically interpretable end-to-end network for stress monitoring in laser shock peening

The data-driven method based on acoustic emission signals is gradually becoming a hot topic in the field of laser shock peening quality monitoring. Although some existing deep learning methods do provide excellent monitoring accuracy and speed, they lack physical interpretability in nature, and the opacity of these decisions poses a great challenge to their credibility. The weak interpretability of deep learning models has become the biggest obstacle to the landing of artificial intelligence projects. To overcome this drawback, this paper proposes a monitoring strategy that can achieve physical interpretability in feature extraction, selection and classification, namely, jointly generating monitoring results and explanations. Specifically, it is an end-to-end model that combines convolutional neural units, gated recurrent units, and attention mechanisms. Firstly, a wavelet analysis with physical meaning that can be autonomously learned is performed on the acoustic emission. Then, the contribution of features is distinguished based on the correlation of information in different frequency bands, and redundant and noisy features are removed. Finally, the interpretability evaluation of processing quality is realized by using gated recurrent units with attention mechanisms. The effectiveness and reliability of the proposed method are confirmed by the experimental data of both laser shock peening at small and large gradient energies compared to state-of-the-art feature methods, CNN- and LSTM-based models. Most importantly, the physical interpretation of acoustic emission signals during the processing can increase the credibility of decisions and provide a basic logic for on-site judgments by professionals.

ON THE QUALITY CONTROL OF MONITORING RESULTS OF URBAN SPECIAL GEOGRAPHY AND NATIONAL CONDITIONS

Abstract. The results of urban thematic geographic condition monitoring are based on the results of geographic condition monitoring, further refinement of classified geographic information vector data, and then summarize the total amount of each urban thematic type, the amount of change and other information through the method of statistical analysis. It provides first-hand information for governmental management departments to make decisions and manage cities. Therefore, the quality of urban thematic GIS monitoring results directly affects the results of statistical analysis. This thesis discusses a variety of quality control methods, and how these methods are successfully and efficiently applied in urban thematic geographic national condition monitoring results, so as to guarantee the quality of the results. It also provides ideas and references for producers of geographic information products and quality inspectors in the production and quality control of geographic information result vectors.

SEISMICITY of the VOLCANIC AREAS of KAMCHATKA in 2018–2019

The results of near real-time monitoring of the active Kamchatka volcanoes are described. Continuous monitoring was carried out using three remote methods: 1) seismic monitoring according to automatic telemetric seismic stations; 2) visual and video observation; 3) satellite observation of the thermal anomalies and the ash clouds. Daily information about volcanic activity is published in the Internet (http://www.emsd.ru/ ~ssl/monitoring/main.htm) since February 2000. The results of seismic activity of the Northern (Shiveluch, Kluchevskoy, Bezymianny, Krestovsky and Ushkovsky), Avacha (Avachinsky and Koryaksky), MutnovskyGorely volcano group and Kizimen, Zhupanovsky, Karymsky and Kambalny volcanoes for 2018–2019 are presented. Within two years 29199 earthquakes with KS=1.6–10.1 were located for Northern volcano group, 714 earthquakes with KS=1.6–7.6 – for Avacha volcano group, 247 earthquakes with KS=1.7–7.3 – Mutnovsky-Gorely volcano group, 116 earthquakes with KS=2.6–8.7 for Kizimen volcano, 315 earthquakes with KS=2.2–10.9 for Zhupanovsky volcano, five earthquakes with KS=6.2–8.3 for Kambalny volcano and four earthquakes with KS=5.2–6.7 for Karymsky volcano. Maps of epicenters, quantities of seismic energy and earthquake distribution according to class are given. All periods of activity were fixed and investigated by remote methods in 2018–2019: intensive volcanic activity of Sheveluch volcano associated with new cone, two paroxysmal explosive eruptions of Bezymianny volcano and the summit explosive-effusive eruptions of Kluchevskoy volcano.

SEISMICITY of the NORTH-EAST of RUSSIA in 2018–2019

The results of seismic monitoring of the Magadan region, Chukotka Autonomous Area and the shelf of adjacent Okhotsk, Chukchi, Bering and East Siberian seas are considered. There were 14 seismic stations working in the region. The catalog includes information about 644 earthquakes with energy classes KR=4.8–13.2. As usual, most of them (77 %) are localized in the Kolyma region (area № 2).The additional catalog contains information about 12 earthquakes in the Chukchi. The total seismic energy released within the region’s borders was ΣЕ=2.671013 J. The classification of Russian North-East earthquakes was performed using energy classes KR of T.G. Rautian’s scale. According to the earthquake energy representativeness map, the regional network of stations records without omissions the earthquakes with Kmin=7on the territory of Magadan region, with Kmin=8 in the Okhotsk sea and with Kmin=10 in the Chukchi. The strongest earthquake of 2018–2019 with KR=13.2 (MPSP=5.1, MS=4.0) occurred on July 5, 2019 in in the Kolyma area. 14 earthquakes with intensity I=2–5 of the Russian Seismic Intensity Scale (SIS-2017) were felt in North East settlements. Epicenters of Magadan region earthquakes were plotted on the tectonic zoning scheme. Most earthquakes are confined to the largest deep faults in the northwestern and sublatitudinal directions. All hypocenters are located within the earth's crust. The seismicity level of the North-East of Russia in 2018–2019 according to the “SOUS’09” scale was assessed as "background average one" for the observation period from 1968 to 2019. Spatially, all earthquakes in the North-East of Russia are traditionally concentrated in large seismogenic belts: Chersky, North-Okhotsk and Trans-Beringian.

AUTOMATIC VIDEO DETECTION FOR GOLDEN MONKEYS IN SHENNONGJIA NATIONAL PARK, CHINA

Abstract. Infrared-triggered cameras serve as essential tools for wildlife resource surveys, allowing camera traps to capture wildlife activity while minimizing the impact on the ecosystem. Traditional monitoring methods heavily rely on human resources for visual discrimination, which is inefficient and susceptible to environmental influences. Therefore, this paper focuses on Shennongjia National Park as a case study to address the limitations of traditional approaches. We constructed a Shennongjia wildlife object detection dataset using video data from the fixed-erected infrared cameras and proposed a supervised learning-based automatic monitoring method for golden monkeys, aiming to achieve intelligent target detection. With these processing results, we were able to capture golden monkeys' tracks and conduct statistical analysis of their life range and distribution characteristics. Through the integration of sensors and deep learning techniques, we developed a golden monkeys detection monitoring system to visualize the monitoring results and assess the spatial and temporal distribution characteristics of golden monkeys’ activities.

Application and Analysis of Array Production Logging Technology for Multiphase Flow in Horizontal Wells

Production logging (PL) instruments play a pivotal role in the comprehensive management and monitoring of oil and gas reservoirs. These devices facilitate the resolution of complex flow diagnosis challenges throughout the life cycle of hydrocarbon field exploitation. However, the advent of highly deviated well drilling technology has exposed certain limitations inherent in conventional centralized logging sensing techniques. When fluid flow within horizontal wells becomes segregated or even laminar, these traditional methods struggle to accurately decipher the zonal productions of oil, gas, and water. To address this challenge, multi-array production logging tools were developed in the late 1990s. Historically, these tools were characterized by considerable lengths, reaching up to 30 feet for an entire suite incorporating flow speed and holdup sensors that were not always collocated. Despite the integration of multiple sensors, uncertainties in determining flow profiles persisted. In this paper, we propose a novel integrated multi-parameter evaluation method based on measurements from a recently developed ultracompact flow array sensing tool, aimed at enhancing the accuracy of reservoir evaluation. The validity of the multi-parameter method is substantiated through a comparison of the new tool with an industry benchmark array PL tool on the same well. By combining the monitoring results, an optimization strategy for oil and gas extraction is presented, which is expected to improve the oil and gas recovery rate, thereby providing guidance for subsequent extraction endeavors. Moreover, we demonstrate how this innovative integrated workflow significantly enhances energy savings and efficiency, further underlining its value in modern oil and gas field management.