bluuebunny/crossref_metadata_2025 huggingface dataset:
The added value and potential of long-term radio occultation data for climatological wind field monitoring
Authors: Nimac Irena , Danzer Julia , Kirchengast Gottfried
Published: April 2024

Abstract. Global long-term stable 3D wind fields are a valuable information for climate analyses of atmospheric dynamics. Their monitoring remains a challenging task, given shortcomings of available observations. One promising option for progress is the use of radio occultation (RO) satellite data, which enable to derive wind fields based on the geostrophic and gradient wind approximations. In this study we focus on three main goals, explored through European Re-Analysis ERA5 and RO datasets, using monthly-mean January and July data over 2007–2020 with a 2.5° × 2.5° resolution. First, by comparing ERA5-derived geostrophic and gradient wind speeds to the ERA5 original wind speed, we examine the regions of validity for both these approximations. Second, to assess the potential added value of RO-derived geostrophic and gradient winds, we test how well they agree with the corresponding ERA5-derived winds. Third, we evaluate the potential of the RO wind fields relative to the ERA5 original wind fields. With this three-step analysis we decompose the total wind speed bias into a bias resulting from the approximation and the systematic difference between the RO and ERA5 datasets. We find that the geostrophic approximation is a valid method to be used to estimate tropospheric winds, while the gradient wind approximation works better in the stratosphere. Both approximations generally work well in the corresponding altitude regions, within 2 m s-1 accuracy almost globally (latitudes 5°–82.5°), with some exceptions in the winter hemisphere: monsoonal area at the lower altitudes, northern polar regions at higher altitudes, and larger mountain regions throughout all investigated altitude levels. RO- and ERA5-derived geostrophic and gradient winds mostly showed very good agreement, generally within 2 m s-1. However, when studying the decadal trend, temporal change in the systematic differences higher than 0.5 m s-1 per decade was found. This points to a potential effect of observing system changes in ERA5 around the year 2016. The overall high accuracy of the monthly-mean wind fields, backed by the long-term stability of the underlying RO data, highlights the added value and potential benefit of RO-derived winds for climate monitoring and analyses.
Towards spatio-temporal comparison of simulated and reconstructed sea surface temperatures for the last deglaciation
Authors: Weitzel Nils , Andres Heather , Baudouin Jean-Philippe , Kapsch Marie-Luise , Mikolajewicz Uwe , Jonkers Lukas , Bothe Oliver , Ziegler Elisa , Kleinen Thomas , Paul André , Rehfeld Kira
Published: April 2024

Abstract. An increasing number of climate model simulations is becoming available for the transition from the Last Glacial Maximum to the Holocene. Assessing the simulations' reliability requires benchmarking against environmental proxy records. To date, no established method exists to compare these two data sources in space and time over a period with changing background conditions. Here, we develop a new algorithm to rank simulations according to their deviation from reconstructed magnitudes and temporal patterns of orbital and millennial-scale temperature variations. The use of proxy forward modeling allows for accounting for non-climatic processes that affect the temperature reconstructions. It further avoids the need to reconstruct gridded fields or regional mean temperature time series from sparse and uncertain proxy data. First, we test the reliability and robustness of our algorithm in idealized experiments with prescribed deglacial temperature histories. We quantify the influence of limited temporal resolution, chronological uncertainties, and non-climatic processes by constructing noisy pseudo-proxies. While model–data comparison results become less reliable with increasing uncertainties, we find that the algorithm discriminates well between simulations under realistic non-climatic noise levels. To obtain reliable and robust rankings, we advise spatial averaging of the results for individual proxy records. Second, we demonstrate our method by quantifying the deviations between an ensemble of transient deglacial simulations and a global compilation of sea surface temperature reconstructions. The ranking of the simulations differs substantially between the considered regions and timescales, which suggests that optimizing for agreement with the temporal patterns of a small set of proxies might be insufficient for capturing the spatial structure of the deglacial temperature variability. We attribute the diversity in the rankings to more regionally confined temperature variations in reconstructions than in simulations, which could be the result of uncertainties in boundary conditions, shortcomings in models, or regionally varying characteristics of reconstructions such as recording seasons and depths. Future work towards disentangling these potential reasons can leverage the flexible design of our algorithm and its demonstrated ability to identify varying levels of model–data agreement. Additionally, the algorithm can be applied to variables like oxygen isotopes and climate transitions such as the penultimate deglaciation and the last glacial inception.
Exploring the footprint representation of microwave radiance observations in an Arctic limited-area data assimilation system
Authors: Mile Máté , Guedj Stephanie , Randriamampianina Roger
Published: April 2024

Abstract. The microwave radiances are key observations especially over data sparse regions for operational data assimilation in numerical weather prediction (NWP). An often applied simplification is that these observations are used as point measurements, however, the satellite field-of-view may cover many grid points of high-resolution models. Therefore, we examine a solution in high-resolution data assimilation to better account for the spatial representation of the radiance observations. This solution is based on a footprint operator implemented and tested in the variational assimilation scheme of the AROME-Arctic (Application of Research to Operations at Mesoscale – Arctic) limited-area model. In this paper, the design and technical challenges of the microwave radiance footprint operator are presented. In particular, implementation strategies, the representation of satellite field-of-view ellipses, and the emissivity retrieval inside the footprint area are discussed. Furthermore, the simulated brightness temperatures and the sub-footprint variability are analysed in a case study indicating particular areas where the use of the footprint operator is expected to provide significant added value. For radiances measured by the Advanced Microwave Sounding Unit-A (AMSU-A) and Microwave Humidity Sounder (MHS) sensors, the standard deviation of the observation minus background (OmB) departures are computed on a short period in order to compare the statistics of the default and the implemented footprint observation operator. For all operationally used AMSU-A and MHS channels, it is shown that the standard deviation of OmB departures is reduced when the footprint operator is applied.
Elasticity curves describe streamflow sensitivity to precipitation across the entire flow distribution
Authors: Anderson Bailey J. , Brunner Manuela I. , Slater Louise J. , Dadson Simon J.
Published: April 2024

Abstract. Streamflow elasticity is the ratio of the expected percentage change in streamflow to a 1 % change in precipitation – a simple approximation of how responsive a river is to precipitation. Typically, streamflow elasticity is estimated for average annual streamflow; however, we propose a new concept in which streamflow elasticity is estimated for multiple percentiles across the full distribution of streamflow. This “elasticity curve” can then be used to develop a more complete depiction of how streamflow responds to climate. Representing elasticity as a curve which reflects the range of responses across the distribution of streamflow within a given time period, instead of as a single-point estimate, provides a novel lens through which we can interpret hydrological behaviour. As an example, we calculate elasticity curves for 805 catchments in the United States and then cluster them according to their shape. This results in three distinct elasticity curve types which characterize the streamflow–precipitation relationship at annual and seasonal timescales. Through this, we demonstrate that elasticity estimated from the central summary of streamflow, e.g. the annual median, does not provide a complete picture of streamflow sensitivity. Further, we show that elasticity curve shape, i.e. the response of different flow percentiles relative to one another in one catchment, can be interpreted separately from between-catchment variation in the average magnitude of streamflow change associated with a 1 % change in precipitation. Finally, we find that available water storage is likely the key control which determines curve shape.
Ukrainian Onomastic Identity Across 15 Years (2006–2021)
Authors: Karpenko Olena , Neklesova Valeriia
Published: April 2024

Proper names habitually express the cultural and social characteristics of a group; therefore, they express collective confirmation of a sense of self-image, affiliations, and emotional anchors. The goal of this investigation is to help deepen our understanding of the onomastic identity revealed in the collective discourse and manifested through the memetic features of onyms. The research presented here consolidated onomastics, psycholinguistics, memetics, and cultural studies. The focus of this investigation is on the changing collective onomastic identity in the Ukrainian society. The data for this research was gathered from two free associative experiments carried out with Ukrainian respondents in 2006 and 2021. In both years, respondents were presented with identical lists of stimuli. Both corpora reveal proper names with memetic features that were preserved in collective memory.
Thermodynamic methods in the process modelling of biocrude
Authors:   , Rakhmetova Olga
Published: April 2024

This thesis is a step forward in addressing the challenges associated with process modelling of biocrude and assessing the accuracy of thermodynamic models in the context of biofuel production. The comparative techno-economic analysis developed in this study has demonstrated the financial feasibility of fractional distillation as a biocrude upgrading step. This research highlighted the influence of thermodynamic methods on process modelling outcomes, which in turn have profound implications for the technical and economic aspects of biofuel production.
Mercados solidarios en Marruecos: plataformas creativas para la comercialización de productos cooperativos. Caso de la provincia de Larache
Authors: Abderrachid El Bakkali , Youssef Fridi , Soukayna El Kouraichi , Ahmed Ouazzani
Published: April 2024

Ante la falta de recurso a modalidades modernas de transacciones, el problema principal del producto solidario radica en el mercado, donde se suman, entre otras cosas, la hegemonía de las grandes empresas, la competencia de empresas experimentadas y los rigurosos requisitos para obtener autorizaciones. A pesar de los múltiples esfuerzos realizados para valorizar dicho producto, el problema persiste. El mercado solidario figura entre las alternativas de mitigación implementadas por las autoridades públicas, lo que ha permitido apoyar a algunas cooperativas, pero sin respaldar a la mayoría, especialmente aquellas que no cuentan con las certificaciones necesarias. Tal exclusión insta a buscar nuevas funciones que puedan satisfacer a un gran número de cooperativas activas y, por ende, a una gran cantidad de población necesitada dispersa en general en el mundo rural. Esto es lo que nos proponemos descubrir a través de una investigación que constituye el fondo del presente artículo. Para ello, adoptamos un enfoque exploratorio impuesto por la constatación de que la literatura aún era virgen en cuanto a los zocos solidarios. Partiendo de una sección preliminar de contextualización, seguida de una presentación del zoco solidario de Larache y de sus cooperativas, campo de nuestra investigación, justificación de la elección del instrumento de investigación, aterrizamos en una sección final de análisis/discusión de los resultados, formulación de síntesis/conclusiones para abrir sugerencias de soluciones que esperamos contribuyan a mejorar las condiciones de vida de las poblaciones desfavorecidas.
Analyzing the Interplay of Financial Inclusion, Income Inequality, and Carbon Dioxide Emissions: Evidence from Pakistan
Authors: Gardezi Muhammad Ali , Zafar Bakhtawar , Zaib Aurang , Rasheed Ayesha
Published: April 2024

The current study uses annual time-series data from Pakistan from 1998 to 2022 to investigate the complex link between financial addition, economic inequality, and carbon emissions. The Auto-regressive Distributed Lag (ARDL) model is used in the study to look at the dynamic correlations between variables including financial addition, income inequality, and carbon emissions. The empirical data indicates that increasing financial inclusion leads to a significant reduction in CO2 emissions. In contrast, economic inequality, energy consumption, and growth have a positive correlation with CO2 emissions. These conclusions show the complicated relationship between socioeconomic determinants and environmental effects. Furthermore, the study's implications extend beyond Pakistan, giving valuable information to policymakers dealing with similar difficulties in other developing countries. This work contributes to the global discourse on sustainable growth and climate action by promoting economic addition and addressing financial disparities. It emphasizes the importance of implementing specific policy actions that promote both economic fairness and environmental sustainability. Such approaches have the potential to not only reduce carbon emissions but also encourage inclusive growth, promoting the wider aim of sustainable development in Pakistan and abroad.
Evaluating Performance of a Nano-Filter in Removal of Arsenic Trioxide from Water
Authors: Pankaj Sharma  , Sunil Garg  , Manpreet Kaur  , Sanjay Satpute
Published: April 2024

Arsenic is a toxic element present in groundwater causing severe health issues, which require proper treatment before using groundwater for drinking purpose. A study was conducted to remove arsenic trioxide [As (III)] from groundwater using iron oxidecoated sand (IOCS). Batch study was conducted as a function of contact time (30 and 120 min), flow rate (1, 2, 4 and 7 l.h-1), thickness of filter media (50, 75 and 100 mm) for initial arsenic concentration (0.10 and 0.25 mg.l-1). Surface characteristics study of IOCS was done using scanning electron microscopy, Fourier transformation infra-red, energy dispersive X-Ray and X-Ray diffraction. Scanning electron microscopy showed the presence of iron oxide on the surface of coated sand, Fourier transformation infrared analysis showed the chemical bonding of iron at 525 cm-1 and energy dispersive X-Ray analysis showed 20.76 % of iron on coated sand. During study, maximum As(III) removal was 100 % for initial concentration of 0.25 mg.l-1 and 0.10 mg.l-1, respectively, for contact time of 120 min at flow rate of 1 l.h-1 for 100 mm thickness of filter material. Results of the batch study suggested that IOCS can be effectively used to achieve low level of arsenic in drinking water.
Laboratory Estimation of Bio-crude Production Potential from Selected Agricultural Residues
Authors: K.Nithiya  , P. Subramanian  , S. Karthikeyan  , S. Sriramajayam
Published: April 2024

Pyrolysis is a better option for effective utilisation of surplus biomass and its utilization to liquid fuels. In this study, the technique of fast pyrolysis was adopted for the production of bio-crude from selected biomaterials viz. rice husk, coir pith, saw dust, cotton stalk, red gram stalk, groundnut shell and maize cob. Bio-crude production was done in a labscale fixed-bed pyrolytic system at six different temperatures (350°C, 400°C, 450°C, 500°C, 550°C and 600°C). Bio-crude yield was obtained in the range of 28 % to 52 %, and groundnut shell pyrolyzed at 550°C gave maximum percentage of bio-crude. The viscosity, pH, density, specific gravity, calorific value, flash point and fire point of biocrudes were evaluated using standard methods.
Optimization of Oil Loading and Starch-Protein Ratio for Encapsulation of Flaxseed Oil Using Response Surface Methodology
Authors: Bhushan Bibwe  , Indra Mani  , Abhijeet Kar  , D. V. K. Samuel  , Mir Asif Iquebal
Published: April 2024

Microencapsulation of flaxseed oil (FSO) was studied with tapioca starch (TS)-whey protein isolate (WPI) combination as a shell material using spray drying to optimize the process variables for preparation of spray dried microcapsules of flaxseed oil using TS-WPI coating material combination. Box Behnken design (3k ) was used to design the experimental runs of selected independent variables (three level), which included starch: protein ratio (1:1, 3:1 and 5:1) and oil loading (20 %, 25 %, and 30 %) of total solids in feed mixture and inlet air temperature (IAT:160 o C, 170 o C, and 180 o C) of spray dryer. Response surface methodology (RSM) was used for response analysis and for optimization of process variables for maximizing encapsulation efficiency and minimizing peroxide value (PV). Quadratic models were significantly fitted to the responses with high coefficient of determination (R2 ). The optimum conditions predicted based on numerical optimization were 20 % oil loading, 2.40:1 TS: WPI ratio and 170 o C drying air temperature, respectively. The results of responses observed after confirmatory experiment were in good agreement with the predicted responses of the model.
Effect of Temperature on Drying Kinetics of Vegetable Seeds
Authors: Thingujam Bidyalakshmi Devi  , Indra Mani
Published: April 2024

A study was conducted to investigate the effect of temperature on drying kinetics of onion, carrot and tomato seed. The seeds were dried at drying temperatures of 30o C, 35o C and 40o C in a laboratory hot-air oven dryer. Drying rate was faster at higher temperature (40o C) than at lower temperatures. Drying of the seeds occurred in falling rate periods of drying. Drying data were fitted into Newton, Page, Modified Page, Henderson-Pabis, Logarithmic, two-term exponential, and Wang and Singh models. Based on highest R2 and lowest χ2 , RMSE and mean error values, Page model (R2 >0.9) was found to be the best fit for drying of all selected seeds at the selected temperatures. However, two-term exponential model was the best fit for onion seed at 35o C and carrot seed at 30o C, and was comparable with Page model in the selected temperature range. Effective moisture diffusivity of onion, carrot and tomato seed ranged between 1.59 x 10-10 m2 .s-1 and 3.18 x 10-10 m2 .s-1, 3.55 x 10-10 m2 .s-1 and 7.10 x 10-11 m2 .s-1, 2.65 x 10-10 m2 .s-1 and 5.31 x 10-11 m2 .s-1, respectively, at above drying temperatures. Activation energies of onion, carrot, and tomato seed were 56.85 kJ.mol-1, 60.69 kJ.mol-1, and 61.44 kJ.mol-1, respectively.
Moisture Dependent Physical Properties of Quality Protein Maize
Authors: Sandeep P. Dawange  , S. K. Jha
Published: April 2024

Physical properties of quality protein maize (var. HQPM-1 and Vivek QPM) kernels were evaluated as a function of moisture content in the range of 15- 45 % (w.b.). Length, width, and thickness of HQPM increased linearly from 10.09 mm to 10.35 mm, 8.05 mm to 8.44 mm, and 4.45 mm to 4.93 mm, respectively. The increase in dimensions of Vivek QPM was from 9.93 mm to 10.51 mm, 8.11 mm to 8.53 mm, and 4.25 mm to 4.76 mm, respectively. Sphericity, surface area, and volume of both QPM varieties increased linearly with moisture content. True density decreased from 1210.81 kg.m-3 to 1193.0 kg.m-3 for HQPM-1, and 1247.55 kg.m-3 to 1163.15 kg.m-3 for Vivek QPM variety; while bulk density decreased from 761.65 kg.m-3 to 662.12 kg.m-3 for HQPM-1, and 740.45 kg.m-3 to 687.48 kg.m-3 for Vivek QPM variety. Static and dynamic angle of repose of the kernels underwent polynomial increase with increasing moisture content. Highest value of static coefficient of friction of QPM was observed on wooden surface, followed by cast iron, aluminium and galvanised iron, owing to their surface characteristics.
Computational Modelling of Hydration Kinetics of Paddy
Authors: K. S. Devi Priya  , A. Dharani  , N. Gokul Kumar  , J. A. Moses  , C. Anandharamakrishnan
Published: April 2024

The soaking stage of parboiling is a critical unit operation that demands a cautious time-temperature relationship, which has direct implications on post-parboiling grain quality. This study aimed to two-dimensional computationally model moisture intake characteristics of paddy (var. ADT-39) when soaked at three different temperatures (60, 56 and 70 ºC). Fickian diffusion was considered and hydration rates were found to be significantly temperature dependent, and were higher during the first 1 h soaking period, and the first 300 s period in specific, corresponding to moisture diffusion across the husk layer. Predicted values were validated against experimental results and were found to be in the acceptable range. This approach is simple, quick and can be extended as a tool to better understand the soaking process of food grains.
7. ĐÁNH GIÁ SỰ THAY ĐỔI KIẾN THỨC TỰ CHĂM SÓC CỦA NGƯỜI BỆNH PHỔI TẮC NGHẼN MẠN TÍNH SAU CAN THIỆP GIÁO DỤC SỨC KHỎE TẠI BỆNH VIỆN ĐA KHOA THÀNH PHỐ VINH NĂM 2023
Authors: Nguyệt Chu Thị , Hiền Võ Thị Thu
Published: April 2024

Mục tiêu nghiên cứu: Đánh giá sự thay đổi kiến thức tự chăm sóc của người bệnh phổi tắc nghẽn mạn tính sau can thiệp giáo dục sức khỏe (GDSK) tại Khoa Nội tổng hợp Bệnh viện đa khoa Thành Phố Vinh năm 2023.

Phương pháp nghiên cứu: Nghiên cứu can thiệp có so sánh trước sau. Nghiên cứu trên 72 người bệnh phổi tắc nghẽn mạn tính đang điều trị nội trú tại khoa nội Tổng hợp Bệnh viện đa khoa Thành Phố Vinh từ tháng 5/2023 đến tháng 11/2023.

Kết quả nghiên cứu: Sau can thiệp GDSK kiến thức tự chăm sóc của người bệnh chuyển từ loại khá (93,1%) lên loại tốt (95,8%). Trong đó, kiến thức về tên bệnh trước can thiệp (54,2%) sau can thiệp (100%), kiến thức về tập thở trước can thiệp (16,7%) sau can thiệp (100%), Kiến thức về ho có kiểm soát trước can thiệp (21,3%) sau can thiệp (100%).

Kết luận: Tỷ lệ kiến thức tự chăm sóc của người bệnh trước can thiệp xếp loại khá (93,1%). Sau can thiệp (95,8%) người bệnh có kiến thức tự chăm sóc xếp loại tốt.
40. ĐẶC ĐIỂM LÂM SÀNG CỦA THAI PHỤ NHIỄM COVID-19 TẠI BỆNH VIỆN PHỤ SẢN HÀ NỘI NĂM 2021
Authors: Đạt Đỗ Tuấn , Hà Nguyễn Thị Thu
Published: April 2024

Mục tiêu: Mô tả đặc điểm lâm sàng của thai phụ nhiễm COVID-19 điều trị tại Bệnh viện Phụ Sản Hà Nội từ tháng 12/2021 đến tháng 4/2022.

Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang lấy mẫu hồi cứu dựa vào thông tin bệnh án điện tử của 1261 thai phụ nhiễm COVID-19 có tuổi thai từ 22 tuần trở lên nhập viện điều trị tại Bệnh viện Phụ Sản Hà Nội.

Kết quả: Trong thời gian từ 06/12/2021 đến 31/04/2022, có tổng số 1261 thai phụ được điều trị COVID-19 tại Bệnh viện Phụ Sản Hà Nội. Tuổi mẹ trung bình: 29,6 ± 5,1 tuổi. Thể nặng nhất của thai phụ nhiễm covid 19 khi điều trị ở mức độ nhẹ chiếm tỷ lệ cao nhất 88,7%, mức độ trung bình chiếm 7,3%, mức độ nặng chiếm 4,0% cao hơn so với thai phụ nhiễm covid 19 nhập viện (mức độ nhẹ chiếm 96,3%, mức độ trung bình chiếm 3,0%, mức độ nặng chiếm 0,7%). Đa số thai phụ vào viện có triệu chứng covid 19 với biểu hiện chủ yếu là ho, đau họng, ngạt mũi chiếm tỷ lệ lần lượt là (57,3%, 40,2%, 41,2%). Ở nhóm mức độ nặng, số mũi tiêm vắc xin càng tăng tương ứng với mức độ nặng càng giảm từ 6.3% đến 0% với p=0,000 <0.05 sự khác biệt có ý nghĩa thống kê. Ở nhóm mức độ nặng và trung bình, đái tháo đường làm tăng mức độ nặng của bệnh với p=0,016 <0,05, sự khác biệt có ý nghĩa thống kê.

Kết luận: Có mối liên quan giữa tuổi thai, số mũi tiêm vắc xin, triệu chứng lâm sàng, đái tháo đường với mức độ nặng của bệnh.
Изучение процессов адсорбции атомов азота двухстенной углеродной нанотрубкой в зависимости от температуры
Authors: Муминова Ш.А. Муминова , Алябьев Д.В. , Умаров Ф.Ф. , Ядгаров И.Д.
Published: April 2024

В работе исследовано влияние температуры (300 и 600 К) и давления (1.5 и 10 бар) на процесс адсорбции атомов азота двухслойной углеродной нанотрубкой (ДУНТ, (5.5+10.10)) методом молекулярной динамики (МД) с использованием потенциала ReaxFF. Результаты исследований показывают, что температура и давление оказывают значительное влияние на степень адсорбции атомов азота поверхностью ДУНТ, наилучший показатель адсорбции для выбранной ДУНТ получен при температуре 300 К и давлении 10 бар (79%).
Comparative study of the toxicity and antiprotozoal effect of domestic broad-spectrum adaptogen conditioners
Authors: Novikov A. A. , Semenenko N. A.
Published: April 2024

This article presents the results of a study of the toxicity and antiparasitic effects of conditioners - broad-spectrum adaptogens produced by a domestic manufacturer in conditions of aquarium cultivation of ornamental fish. It has been established that all 4 presented solutions have low toxicity and contribute to the complete ridding of fish from ectoparasites of different systematic positions. The possibility of import substitution in the modern economic realities of the ornamental fish farming market of the Russian Federation is considered.
Morphology of the digestive canal of broilers under the influence of Reasil® Humic Health
Authors: Dmitriev N. O. , Salautin V. V. , Pudovkin N. A. , Salautina S. E.
Published: April 2024

The introduction of new technologies for keeping and feeding poultry, shortening the growing time of modern poultry crosses, often lead to various stress conditions, which makes them highly sensitive to diseases of various etiologies, due to an insufficiently formed immune system. In most cases, this manifests itself in the form of gastrointestinal diseases and, as a result, an increase in poultry mortality. Currently, this problem is being solved by introducing feed additives into diets that contribute to increasing natural resistance and positively affect metabolic processes in general. One of these is the feed additive Reasil® Humic Health, which improves the condition of the digestive tract, which directly affects the acceleration of growth and development of the body, an increase in average daily weight gain, and obtaining safe meat products from broilers.

The object of the study was a control and experimental group of 21-day-old Cobb-500 cross broilers, with 18,000 heads each. 

The broilers of the control group received the basic diet. In addition, Reasil® Humic Health feed additive at a dose of 2 g/ kg of feed was included in the main diet of the poultry of the experimental group. The selection of poultry for control slaughter at the ages of 22, 36 and 41 days, 60 individuals from each group, was carried out by random sampling. 

Thus, it can be concluded that Reasil® Human Health had a positive effect on the dynamics of weight and organometric parameters in broilers of the experimental group: the mass of the muscular stomach - by 11.4%, intestines - by 12% and liver - by 8% was higher compared with intact poultry.
Методологический конструкт исследования феномена государственности
Authors: Абдуллаев Магомедзапир Нурмагомедович , Сафронова Елена Викторовна
Published: April 2024

Рассмотрена методологическая проблема дефинирования явления государственности, определено предметное поле научного исследования сущности государственности как сложного системного феномена. Разработка дефиниции «государственность» в соотношении с понятием «государство» позволяет оценивать общественные явления с различных сторон. Исследование природы и сущностных проявлений многоаспектного феномена «государственность» диктует необходимость преодоления научно-отраслевой односторонности и актуализирует привлечение междисциплинарного подхода, систематизирующего и объединяющего отраслевые, теоретические знания на более высоком и качественном уровне концептуализации. Отмечено значение определения структурных базовых единиц методологического конструкта исследования государственности, позволяющих провести историко-правовое описание ее модели в России и регионах. В этой связи подробно рассматриваются индикаторы измерения государственности и факторы, оказывающие на нее детерминирующее влияние.  Авторы приходят к выводу, что современный уровень развития науки позволяет и предполагает проводить исследовательскую работу в русле методологического синтеза. Творческое сочетание универсализма, характерного для формационного подхода и цивилизационного индивидуализма в канве исторического подхода, утверждения историзма в подходе к изучению государственности и использование методов историко-сравнительного и сравнительно-правового анализа целесообразно рассматривать в качестве рационального методологического конструкта исследования российской государственности.
МОДЕЛИРОВАНИЕ СТРОИТЕЛЬНОГО ПРОИЗВОДСТВА
С УЧЕТОМ ОГРАНИЧЕНИЯ РЕСУРСОВ И ЭНЕРГОСБЕРЕЖЕНИЯ
Authors: Bayramukov Salis Khamidovich , Dolayeva Zuryat Nyuzyurovna
Published: April 2024

В современном мире оптимальное планирование строительного производства является актуальной практической и научной задачей. Достаточно сложно наладить ресурсный баланс, требуется оперативно регулировать пространственно- временные параметры планирования строительного процесса. Предложена модель математического программирования,

позволяющая оптимизировать процесс строительного производства, которая представляет собой смешанную нелинейную математическую модель. Предлагается использовать свойства экспоненциальной функции, чтобы ее линеаризировать и преобразовать в модель линейного программирования. Разработанная математическая модель позволяет сократить продолжительность работ и возможные задержки, снизить затраты, повысить энергоэффективность и, в целом, способствует повышению надежности процесса.
ОСОБЕННОСТИ ПРАВОВОГО РЕГУЛИРОВАНИЯ В РЕАЛИЗАЦИИ ИНВЕСТИЦИОННО-СТРОИТЕЛЬНЫХ ПРОЕКТОВ НА ЭТАПЕ БЛАГОУСТРОЙСТВА ПРИДОМОВОЙ ТЕРРИТОРИИ
Authors: Kаrpushko Yelenа Nikolаyevnа , Kushnаrevа Аlinа Аndreyevnа , Cheboltаsovа Аnаstаsiyа Аndreyevnа
Published: April 2024

Рассмотрены теоретико-методологическиеосновы осуществления деятельности по благоустройству. Отражены особенности правового регулирования жилищных споров по отнесению отдельных элементов благоустройства к общему имуществу, установлению границ прилегающей территории и эксплуатации помещений общего пользования в многоквартирном доме. Изучены основные источники формирования правовых отношений и результаты их реализации в рамках обеспечения комфорта и безопасности территории многоквартирных домов. Предложены механизмы регулирования и обслуживания элементов благоустройства и придомовой территориина основании проведенного анализа. Сделаны выводы о необходимости внесения корректировок в нормативно-правовые документы, проведении межевания территории, осуществлении государственного кадастрового учета и установлении правил зонирования, для размещения объектов благоустройства в условиях ограниченности дворовых пространств.
Exploring the Experiences and Meanings of Work-Life Balance among Middle-Aged, Married Female Employees
Authors:   The Korean Society for Lifelong Education, Kang Hyounju
Published: April 2024

This study aimed to explore how the experiences and meanings of work-life balance evolve across the life stages of middle-aged, married female workers. The study participants were 10 middle-aged, married female workers, aged 45 to 60, who had work experiences during both the parenting and middle-aged stages. The findings revealed that half of the participants experienced career interruptions due to pregnancy, childbirth, and childcare, influenced by social contexts such as family expectations of maternal roles, the passive involvement of husbands in childcare, and the absence of social care systems. Overall, satisfaction with work-life balance during this period was low, and it was a time when 'balance' itself was challenging to achieve. As these participants entered middle age, they reduced their family and parenting roles due to their children's independence, leading them to re-enter the workforce or focus more on their careers and showcase their abilities in the workplace. The key experiences of work-life balance during middle age included 'time for oneself, self-discovery, maintaining health and fitness, immersion and enjoyment in work, and changes in roles and relationships within the family.' The significance of this study lies in attempting to explore the experiences of middle-aged, married female workers, a group often overlooked as critical subjects of work-life balance discourse, and in considering the life context of middle age.
Trend Analysis Related to School-Region Linked Education: Focusing on Semantic Network Analysis and CONCOR Analysis
Authors:   The Korean Society for Lifelong Education, Kim Hyun Ha , Kim Dae Hyun , Kwon Da Nam
Published: April 2024

The purpose of this study is to identify research trends related to school-region linked education and to explore the current status and future development direction of this education. To achieve this, 362 papers published from 2003 to 2023 in KCI-registered journals were selected and the research trends were analyzed using text mining, semantic network analysis, and CONCOR analysis. The results revealed that the number of published papers has tended to increase since 2013. Moreover, in the overall semantic network, school-area connection, culture and arts, schools, case studies, village education community, curriculum, universities, connection, social studies, and elementary school are importan, appearing as a keywords. In addition, the results of an N-gram analysis, keyword frequency assessment, and the identification of top keywords using TF-IDF found that certain terms frequently appeared in conjunction with school-region linked education. Lastly, through a CONCOR analysis, a total of eight clusters were identified. Discussions were then held on the development of school-region linked education and the research required for this.
A Deep Learning-Based Model for the Detection and Tracking of Animals for Safety and Management of Financial Loss
Authors: Neema Gupta, Ambuj Kumar Agarwal, Megha Sharma, Soumi Datta Nidhi Jain,
Published: April 2024

The paper presents a deep learning-based model for detecting and tracking animals to protect agricultural fields. It addresses the challenge of crop destruction by stray animals, a significant issue for farmers, by proposing an intelligent camera-based solution. This solution utilizes IoT for real-time information transfer and employs advanced image and video processing methods, including YoloV5, for efficient animal detection and classification. The study evaluates various existing solutions and highlights the advantages of the proposed model in terms of accuracy and cost-effectiveness, offering a promising approach to mitigate animal raids on crops.
Modelling of PMBLDC Motor and Study of Electromagnetic Characteristics
Authors: Rajalakshmi Samaga Dhananjaya B.,
Published: April 2024

Electric vehicles are commercially developed with the intention of providing the range, pursuance, comfort to commuter, safety and hassle-free operation at a fair and vying price range. It has become very much essential for the automobile industries to install batteries performing at its best, available at low cost which are safe and reliable. Also, it is necessary to develop an interspersed propulsion system to provide large power density, enhanced efficiency which could be very critical for the future Electric vehicles. The present PMBLDC motors of 48V were employed in light vehicle applications which have disadvantages such as decreasing torque to speed ratio and decreasing power to speed ratio. The torque and power of PMBLDC motors were tending to remain constant after speed. The characteristic of the motor was studied using FEM. This work is proposed to build a 72V PMBLDC motor which will be replacing the existing 48V PMBLDC motor for Light Motor Vehicle applications. The power output of the motor will be comparatively high. It has been proposing to design a controller using INSTA-SPIN(BLDC) controller from Texas instruments which will be able to produce the required switching patterns from the 3-Phase bridge in order to regulate the Torque and power produced, when compared to the existing 48V PMBLDC. The characteristic of both the motors are to be compared using FEM. The torque vs speed curve is expected to remain constant with the increasing loads applied on the motor. The motor is expected to produce power constantly with the increasing loads.
Automatic Classification of Stegano files using the Features of Natural Language Processing and Hybrid Deep Learning Algorithms
Authors: Ashish Sharma Ayushi Chaudhary,
Published: April 2024

The corporate sector has adopted communication as its principal medium due to the improvements of the digital era. In the past, in-person meetings, purchases, settlements, business talks, and profile-taking were all done. However, everything has gone digital in the present period. Over the last several years, there has been a noticeable exponential rise in the amount of complicated texts and documents that require a deeper comprehension of machine learning techniques in order to recognize languages in a variety of applications. Outstanding results in the processing of natural languages have been obtained by a number of Artificial Intelligent techniques. A key component of machine learning and deep learning techniques' efficacy is their capacity to understand intricate models and non-linear connections in data. Choosing the right architecture, frameworks, and algorithms for classifying input, like text files, managing audio and video files, however, is a difficult undertaking. The proposed work's goal is to identify text, audio messages, chatbots, and smart records using natural language processing. Using a hybrid deep learning approach, text, voice, and video recordings are used as inputs to be classified. Problem Synopsis: With contact becoming more and more important to business, companies have created advanced NLP programs. Through chatbots, digital records, phone conversations, and messages, these NLP swiftly fulfil human desires. Customer preferences, desires, and demands have been found to be more strongly impacted by the ease of communication and connection. Today's service providers use chatbots, digital records, messaging apps, email, and phone conversations as their main methods of communication for almost all of their trade channels of preference, client queries, and transactions. Proposed Method: The study shows how input stegano file is processed automatically based on user reactions, text message replies, and audio record identification during communications using text content, voice messages, and audio using the features of Natural Language Processing and hybrid Deep Learning Algorithms
Artificial Intelligence 2D, 3D-Dron Image Technique for Insecticides Detection by Henry Garrett Ranking Method and the High-Density Growth
Authors: Tawheed Nabi Imtiyaz Majid,
Published: April 2024

The ultra high density plant has an accuracy of 91.3% to grow that is why the ultra high density is the first choice of apple growers. With 107.10 million metric tons, India stands 2nd in the world in fruit production. These apple orchards are simple for other orchardists and they attract new apple growers who are going to establish them. The producer of an ultra-high density apple should be conscious that the grower should obtain a leader of 18-24 inches in 1st year and 30-36 inches in 2nd and 3rd year, so that the apple plant will grow fast. The apple grower will reduce production in starting 4 years, so that in future he will get good returns. Out of 140 growers, in 28 pre tested was done in 2022-2023 in both districts. Through Henry Garrett Ranking method this paper explains the challenges faced by growers while growing high density apple and use of new technology like drones for the spray of pesticides, 2D and 3D photos to detect insectsides of ultra high density apple orchards in Jammu and Kashmir.
Strategies for Scaling Telehealth Capabilities Using Cloud-Native Architectures
Authors: Vemuri Naveen
Published: April 2024

Thе adoption of cloud nativе architectures and simulatеd intеlligеncе еmpowеrs imaginativе rеmotе patient monitoring stagеs that еxpand healthcare delivery. However developing thеsе complex systems prеsеnts DеvOps challenges. This papеr inspеcts kеy dеvеlopmеnts likе containеrs and microsеrvicеs and CI/CD pipеlinеs and infrastructurе as codе and GitOps that addrеss issuеs of unwavеring quality and vеrsatility and sеcurity and hiеrarchical changе. It givеs pragmatic dirеction to healthcare IT pionееrs on leveraging thеsе advancеmеnts to accomplish thе advantagеs of robust and consistent carе through rеmotе monitoring. Truе modеls show thе way that modеrn approachеs can speed up delivery of statе of thе art cloud nativе simulatеd intеlligеncе solutions to improvе clinician productivity and еnhancе patiеnt outcomеs.
Railway Signal Electronic Control System Based on BP Neural Network
Authors: Songzhi Luo, Bufan Wei Xiongsheng Wu,
Published: April 2024

Railway signal system is the core system of railway command train operation. After the installation of the system equipment is completed, a comprehensive test shall be carried out through joint debugging and joint testing, and the applicability of the system to the design requirements shall be generally evaluated according to the test results. This paper focuses on the research of railway signal electronic control system. Based on BP neural network, fault information can be quickly and accurately identified in a relatively short time, and accurate electronic signal control can be realized in a complex system environment. The final result of the study shows that the difference in delay error of railway signal transmission under BP neural network technology is small, there are some subtle differences in 5 different modes, but the impact is small, in mode 1, the target time value is 0.236s, The actual reflection time is 0.322s, it can be seen that the error is controlled within 0.2s, which is feasible. Through the analysis of delay error of railway signal electronic control system, BP neural network has certain advantages in railway signal transmission.
Paper Recommendation Method based on Attention Mechanism and Graph Neural Network
Authors: Rong Jing, Qi Guo, Bin Wei Ailin Li,
Published: April 2024

At present, most recommendation technologies only consider text or citation information, which suffers from data sparseness and cold start problems. Therefore, an academic paper recommendation method based on attention mechanism and heterogeneous graph CAH is proposed. This method considers textual information and heterogeneous graph structure information to obtain a richer and more complete feature representation. Finally, cosine similarity is calculated to generate recommendations. The results show that compared with the content-based recommendation method, the accuracy rate, recall rate and f value of CAH method are increased by nearly 5.6%, 5.8% and 8.7%, respectively, which are significantly improved compared with the basic method. This method is expected to promote the in-depth application of recommendation systems in the field of artificial intelligence.
Optimization Strategies for Real-time Energy Management of Electric Vehicles Based on LSTM Network Learning
Authors: Geng Meijuan
Published: April 2024

The orderly control of electric vehicle load can improve the load characteristics of regional power grid and reduce the charging cost. Since it is impossible to predict the accurate access time and charging demand of electric vehicles in the future, it is impossible to make a global optimal arrangement for accessing the grid when electric vehicles are charging. Aiming at this problem, a real-time energy management system and optimization strategy of electric vehicle based on deep long-term and short-term memory neural network are proposed. Firstly, a three-tier electric vehicle management architecture including power grid layer, regional energy management system and charging station energy management system is constructed to manage large-scale electric vehicles in layers and regions; Then, a region station interaction strategy based on deep long-term and short-term memory neural network is proposed. The historical optimal solution solved by historical load information is used to train the learning network to guide the new real-time optimization; The proposed strategy can further reduce the charging cost and improve the peak valley characteristics of regional load on the premise of ensuring the charging demand of users. Finally, a simulation example is given to verify the effectiveness and superiority of the proposed layered architecture and management strategy.
Intelligent Deep Adaptive Intuitionistic Fuzzy Classifier Based Dyslexia Prediction Among Children at its Early Stage
Authors: P. J. Arul Leena Rose Vinodh M. R.,
Published: April 2024

The inability of standard linear research to clearly define the role of cognitive abilities in reading difficulties is most likely due to the fact that reading and the components that are related to reading are both part of a system of factors.  There are numerous interrelated and mitigating elements that conventional statistical models are unable to deal effectively. This work aims to increase dyslexia prediction accuracy by introducing two stage non-linear methodology which incorporate both deep learning and uncertainty theory. In the first stage, the pattern of dyslexic symptoms is learned by introducing deep adaptive neural network. During the training phase, the hyperparameters weight and learning rate are optimized using a metaheuristic algorithm called the fruit fly optimization algorithm. This algorithm imitates the behavior of fruit flies to search for the best set of values. The acquired knowledge is infused in the uncertainty inference model known as intuitionistic inference classifier. Each characteristic that defines an instance as dyslexic or non-dyslexic is represented in tristate degrees to precisely address the inconsistent or vague instance which neither or nor exhibit dyslexic symptoms by introducing the hesitancy factor. The simulation results support the proposed intuitionistic fuzzy rules prominently improves the accuracy rate of dyslexia prediction compared to the other existing state of arts.
An Efficient and Scalable Framework for Decentralized Finance Application Using Blockchain Interoperability
Authors: Mohamadi Begum Y. Ravi Prakash B.,
Published: April 2024

In recent years, blockchain technology has drawn a lot of attention, especially in the field of decentralised finance (De-Fi). However, scalability problems have come to light as a significant obstacle to the broad use of blockchain-based applications. To solve the issue of scalability, this paper has created a decentralised finance application with three main components: the addition of more liquidity to the swapping application, the implementation of a Polygon Proof of Stake bridge to enable efficient asset transfers, and the ability to transfer tokens between accounts seamlessly regardless of network agnosticism. The first feature, network agnostic capabilities for interoperability, facilitates token transfers between blockchain networks, allowing users to access and transact across them with ease The second component, the Polygon Proof-of-Stake bridge, makes asset transfers more efficient by taking advantage of the Polygon network's scalability advantages, which drastically lower transaction costs and processing times. Finally, adding more liquidity to the swapping programme makes it more scalable by guaranteeing that there is enough money for transactions, which prevents delays and bottlenecks. The scalability issue with blockchain technology is efficiently resolved by adding these three characteristics to the decentralised finance application, creating new opportunities for the mass acceptance and utilisation of blockchain-based financial services.