bluuebunny/crossref_metadata_2025 huggingface dataset:
NRS2002 combined with nutritional, immune and inflammatory indicators for the nomogram to predict Sarcopenia
Authors: Liu Jie , Liu Jingjin , Xian Xuejiao , Hu Tao , Bi Zhengfeng , Yang Hongjun
Published: January 2024

Objectives
Sarcopenia is a geriatric syndrome characterized by age-related loss of muscle mass and strength, with or without physical function decline. In clinical work, it is complicated to consider it as a geriatric syndrome, and the diagnostic criteria are often ignored by clinical workers. This study aims to construct a predictive model for sarcopenia using commonly used clinical indicators.
Design:
By collecting the basic clinical data, NRS2002 score scale, nutrition, immunity, inflammation, and other blood indicators of the subjects, the diagnosis and prediction model of sarcopenia was established. The LASSO regression method was used to screen the variables and select predictors. logistic regression analysis was used to construct the modal map, and the discriminant ability of the model was determined by calculating the area under the curve (AUC). Finally, the training set and validation set were randomly split for internal verification, and the AUC was used to judge the verification effect.
Participants:
The study was conducted from June 2023 to September 2022 in the First Affiliated Hospital of Kunming Medical University; Elderly inpatients over 60 years old were included, and sarcopenia was diagnosed using the Asian Working Group for Sarcopenia (AWGS2019) diagnostic criteria. NRS2002 score, nutrition, immunity, and inflammation indexes were collected to construct the model.
Results
Four variables were selected and screened by the LASSO regression method, and a diagnostic and prediction model was established based on these variables. The AUC of the prediction model was 0.80. In the internal validation, the total number of samples was randomly divided into training set and validation set according to a 0.85 split ratio, and the ROC curve was used to verify the results, and the AUC was 0.8047 and 0.9065 respectively. Finally, the model was used to correct the curve, and the curve fit was good, the mean absolute error (MAE) was 0.014, and the prediction effect was good. The model can be used to diagnose and predict sarcopenia in clinical patients.
Conclusion
In this study, NRS2002 combined with BMI, lymphocyte count, and BNP were used to construct a diagnosis and prediction model for sarcopenia, which has important value for the prediction of sarcopenia.
A Euclidean Distance Diagnostic of North Atlantic Basin Activity
Authors: Senter Jason , Lupo Anthony
Published: January 2024

An analysis of North Atlantic basin activity was conducted by comparing the similarity of accumulated cyclone energy (ACE) to tropical storms and hurricanes (named storms) from 1851 to 2022. These time series data sets share common in-phase dynamics, spatially and temporally. The data sets also characterize a stochastic system where the shared underlying signals are comprised of annual, El Niño-Southern Oscillation (ENSO), and Pacific Decadal teleconnections [1]. Using the magnitude of ACE as a measure of basin activity, and the Euclidean distance as a measure of similarity between ACE and named storms; it can be observed that the distances measured fluctuate predictably overtime. These predictable fluctuations of similarities illustrate modality of basin activity oscillating between different primary behavioral analogues of ACE during both pre-satellite and post-satellite introduction time periods. Using the Euclidean distance, it is possible to characterize ACE based upon intrinsic in-phase and magnitude similarities with basin measures over a defined period of time.
Applying Deep Learning Techniques for Network Traffic Classification: A Comparison Study on the NSL-KDD Dataset
Authors: Trrad Issam
Published: January 2024

The escalating intricacy and refinement of network attacks require the implementation of advanced methodologies in network security and intrusion detection. This study centers on the utilization of machine learning techniques for the categorization of network traffic, specifically employing the NSL-KDD dataset. This study investigates the efficacy of various classifiers, namely Linear Support Vector Machine (SVM), Quadratic SVM, K-Nearest Neighbor (kNN), and Long Short-Term Memory (LSTM), for the precise detection of anomalous network activity. The data is preprocessed through various techniques, including one-hot encoding and normalization, in order to enhance the performance of the model. Feature selection is utilized as a means to improve the outcomes of classification. By conducting a thorough evaluation and analysis, we present an assessment of the classifiers' performance in terms of precision, recall, and F1-score. The findings demonstrate the potential application of machine learning techniques in the field of network security, underscoring the significance of carefully choosing suitable algorithms and preprocessing approaches to achieve efficient intrusion detection. The results of our study make a significant contribution to the advancement of intrusion detection systems based on machine learning. These findings offer valuable insights for both network security practitioners and researchers in the field.
A lattice model with a progressive damage applied to fracture problems of wood
Authors: Braun Matías , Aranda-Ruiz Josué , Sal-Anglada Gastón , Ariza M. Pilar
Published: January 2024

In this study, we have implemented the first lattice model that incorporates progressive material damage, taking into account ductile failure under compression and brittle failure under tension. In addition, the lattice fracture criterion includes a typical failure criterion for wood and assumes a coefficient of variation in elastic constants, and strengths to account for the heterogeneity of wood. The lattice model relies on axial springs, with their mechanical properties explicitly calculated based on the wood's macroscopic mechanical properties. The model's capability is evidenced by simulating two fracture tests and comparing the results with previously presented numerical and experimental data. The observed results align well with experimental observations.
Immunohistochemical evaluation of LGR5, CD71, CD138 and CXCR3 markers in the small bowel mucosa of participants with celiac disease and persons with normal bowel mucosa
Authors: Vorobjova Tamara , Metsküla Kaja , Salumäe Liis , Uibo Oivi , Heilman Kaire , Uibo Raivo
Published: January 2024

Celiac disease (CD) is a chronic autoimmune disease of the small bowel mucosa that develops because of the altered immune response to gluten, which leads to intestinal epithelium damage and villous atrophy. However, studies on regeneration of the damaged small bowel mucosa and density of intestinal stem cells (ISC) in CD persons are still scarce. We aimed to evaluate the number of small bowel mucosa cells positive for LGR5, CD138/Syndecan-1, CD71 and CXCR3 in CD and in controls with normal bowel mucosa; to find relationship between these markers and degree of small intestinal atrophy and to compare these results with our previous data about the number of CD103+, IDO + DCs, FOXP3 + Tregs, enterovirus (EV) density and serum zonulin level. Paraffin sections of the small bowel biopsies were obtained from 26 children with CD (median age 6.5 years) and 20 controls with normal intestinal mucosa (median age 14.2 years) and from the tissue bank of the Department of Pathology of Tartu University Hospital (from 18 participants with CD and from 11 with normal small bowel mucosa). The number of LGR5+, CD71 +, CD138+, and CXCR3 + cells was evaluated using immunohistochemistry. The median number of CD138 + and CXCR3 + cells was significantly higher in the small bowel mucosa in CD compared with normal mucosa (p = 0.0002 for CD138 and p = 0.006 for CXCR3). The median number of CD71 + cells was significantly higher in normal small bowel mucosa (p = 0.005). The number of LGR5 + cells did not differ between persons with CD and those with normal small bowel mucosa (p = 0.7). Significant increased number of CD138 + and CXCR3 + cells in the small bowel mucosa of participants with CD confirms their role in pathogenesis of this disease. There was no expected remarkable difference in the density of any of the studied markers between lower or higher grade of small bowel atrophy and level of tTG-IgA in CD.
Coherent set identification via direct low rank maximum likelihood estimation
Authors: Polzin Robert Malte , Klebanov Ilja , Nüsken Nikolas , Koltai Péter
Published: January 2024

We analyze connections between two low rank modeling approaches from the last decade for treating dynamical data. The first one is the coherence problem (or coherent set approach), where groups of states are sought that evolve under the action of a stochastic transition matrix in a way maximally distinguishable from other groups. The second one is a low rank factorization approach for stochastic matrices, called Direct Bayesian Model Reduction (DBMR), which estimates the low rank factors directly from observed data. We show that DBMR results in a low rank model that is a projection of the full model, and exploit this insight to infer bounds on a quantitative measure of coherence within the reduced model. Both approaches can be formulated as optimization problems, and we also prove a bound between their respective objectives. On a broader scope, this work relates the two classical loss functions of nonnegative matrix factorization, namely the Frobenius norm and the generalized Kullback--Leibler divergence, and suggests new links between likelihood-based and projection-based estimation of probabilistic models.
MSC classification: 65F55, 62M05, 37M10, 15A23, 60J22.
Research on Path Planning and Smoothing Based on Obstacle Corner Points
Authors: Di Ling-Song , Sun De-Feng , Qi Ya-Hui , Xiao Zhi-Cai
Published: January 2024

In response to the challenges of path planning in complex scenarios, where grid map algorithms are susceptible to the influence of grid size and intelligent algorithms exhibit uncertainty, this paper proposes a method for finding the shortest path based on obstacle corner points using the Dijkstra algorithm. To address obstacles composed of curves without corner points, we suggest a preliminary linearization fitting process followed by pathfinding. To enhance the applicability of the trajectory, we introduce the constraint of minimum turning radius and conduct smoothing research based on circular arcs, providing smoothing solutions for various scenarios. Finally, considering the practical requirement that the trajectory should maintain a safe distance from obstacle edges, we perform an expansion analysis on the obstacles, linearize the resulting arcs, obtain the trajectory based on obstacle corner points, and apply smoothing treatment. Each step has been validated through simulations, demonstrating the rationality of the proposed approach.
BC-DCNN: A Novel Method to Denoise CEUS Images Combining Bidirectional ConvLSTM with 3D DnCNN
Authors: Liu xiang , Pu Xiuli , Shi Yunyu , Wu Yuke , Zhao Jingwen , Song Jialin , Wang Shuo Hong
Published: January 2024

Background and objectives: Ultrasound diagnosis technology is widely used in medical diagnosis due to its advantages of low cost, timeliness, and no radiation. However, the scattered noise in the image hinders the doctor's accurate diagnosis. Besides, the current research on ultrasonic video denoising is still in the preliminary stage, and it is difficult to effectively denoise while fully retaining detail feature.Therefore,the objective of this study is to propose a novel denosing framework capable of generating clearer images.Methods: In this paper, we propose a novel framework named BC-DCNN (Bidirectional ConvLSTM with 3D DnCNN), which combines bidirectional ConvLSTM (Convolutional Long Short-Term Memory) with 3D DnCNN is proposed to generate clearer images. First, before entering the network, the CEUS video will pass through an abnormal frame detection module to filter out abnormal frames, and combine the synthetic ultrasound video as a training dataset, thereby preventing the model from overfitting and improving the generalization ability of the network. Second, we introduce a 3D convolution operator to extend the 2D DnCNN denoising model to 3D space to process image sequences. In addition, the model learns the temporal features of the video through the bidirectional ConvLSTM and takes full advantage of the inter-frame information. At the same time, temporal reduction and skipping connection are combined to learn the deep and shallow features of temporal data. Finally, to improve the stability of network training, a mixed loss function is designed to optimize the network training process.Results: We compare our method with different state-of-art algorithms, both visually and with respect to objective quality metrics. The experiments show that our algorithm compares favorably to other state-of-art methods.Conclusions: The proposed BC-DCNN framework provides a new solution to the problem of low-definition ultrasound diagnosis, and successfully solve the ultrasonic image denoising problem while preserving the detailed features.
Protein hydrolysate as a source of bioactive peptides in diabetic food products
Authors: Zinina O. V. , Nikolina A. D. , Khvostov D. V. , Rebezov M. B. , Zavyalov S. N. , Akhmedzyanov R. V.
Published: January 2024

Protein hydrolysates are a promising active component in specialized food products. Due to the presence of bioactive peptides with enzyme inhibiting activity in their composition, protein hydrolysates exert different physiological effects. The aim of the research was to establish the potential hypoglycemic activity of the protein hydrolysate of broiler chicken stomachs in whey and to develop a beverage on its basis for patients with diabetes mellitus. Protein hydrolysates obtained from microbial fermentation of muscular stomachs of broiler chickens in whey were assessed by UHPLC coupled to mass-spectrometry. Using the BioPEp database, the molecular weight distribution of peptides in the hydrolysates was determined. In addition, bioactive peptides showing the inhibitory activity toward enzymes dipeptidyl peptidase‑4 and amylase were revealed. Based on the obtained hydrolysates, recipes of beverages for patients with diabetes mellitus were modeled in the Excel software program with regard to the recommendations for nutrition of this population group. According to the obtained recipes, beverages were produced in the laboratory conditions and their taste was assessed. An effect of the beverage on glucose reduction in the blood of laboratory animals was assessed upon single peroral administration with a dose of 1.3 ml before the main meal. The results of the investigation of the peptide composition of protein hydrolysates showed the presence of bioactive peptides (SY, VW, SW) in them with the inhibitory activity toward enzymes dipeptidyl peptidase‑4 and amylase confirmed by the BioPep database. The highest amount of the above indicated bioactive peptides (37.1 mg/100 g hydrolysate) was in the protein hydrolysate produced by fermentation of raw materials with propionic acid bacteria. The beverage produced on the basis of the protein hydrolysate and lemon juice was more acceptable for consumers in terms of taste than the beverage with the taste of cacao. The results of the in vivo trials showed that the beverage based on the protein hydrolysate was effective in reducing sugar in blood of both healthy rats and rats with diabetes mellitus. The blood sugar level in the healthy animals of the G1 group (without using the beverage) increased by 151% relative to the initial values, which was a higher value compared to the G2 group (with the use of the beverage), where an increase was 87%. A more significant growth in the blood sugar level (61% relative to the initial values) was also observed in the ill animals in the G3 group (without using the beverage), while this increase was 46% in the G4 group (with the use of the beverage). Thus, the results of the study show the prospects of using the protein hydrolysates from broiler chicken stomachs in whey as an active hypoglycemic component in beverages for patients with diabetes mellitus. However, more profound research is necessary including studies on the representative group of patients.
The effect of ultrasound on the feed mixture of sunflower cake and whey
Authors: Volonchuk S. K. , Mаzalevskiy V. B. , Stankevich S. V. , Chekryga G. P.
Published: January 2024

At present, secondary products of the main production in the form of cake, oil meal, bran and whey are widely used for feeding cattle. Despite the presence of protein, fats, carbohydrates, minerals and fiber in their composition, there is a problem of low assimilability of these nutrients. Moreover, secondary products are often unsafe in terms of microbiological parameters. To solve this problem, various physical and mechanical impacts are used. The paper presents the results of the study of an ultrasound effect on the feed mixture of sunflower cake and whey. Ultrasound is wave oscillations with frequencies higher than 20 kHz. Ultrasound waves propagate in solid, liquid and gas media, have a high mechanical energy and cause several physical, chemical and biological phenomena. When ultrasound impacts a mixture, bubbles are formed and large amounts of energy are emitted upon their collapse. This energy is expended on destruction of large particles of cake with particle sizes of 1370.8–2776.6 µm in the dry cake and up to 1.8–300.0 µm in the suspension. The overwhelming majority (60–75%) of particles have sizes of 11 to 30 µm when duration of the ultrasound treatment is 20–30 min. This can be seen in the photographs of the mixture under a microscope. With that, the homogeneous gel-like mass containing protein, fat, fiber and sugars is formed from a simple mixture of components, which significantly improves the process of assimilation of structured nutrients of cake by animals. A decrease in the protein content from 10.20% to 6.65% has been revealed in the suspension with a component ratio of 1:4 to 1:8. Temperature-time regimes for ratios of the cake/whey components have been established. The optimal temperature was 60–70°C, treatment time was 20 min. A temperature was lower in the mixture with a ratio of 1:8 for all time periods due to a decrease in viscosity of the formed suspension. Microbial inactivation occurs under the impact of ultrasound, which is important for animal health and productivity. As a result of the statistical processing of process indicators, a range was established for optimal values of variable factors at which a decrease in the microbiological contamination of the mixture takes place.
Peculiarities of development and metabolism of Streptococcus thermophilus strains under different conditions of deep liquid phase cultivation
Authors: Sviridenko G. M. , Shukhalova O. M. , Danilova E. S.
Published: January 2024

The microflora of most fermented dairy products, including cheeses, consists entirely of lactic acid bacteria, i. e., bacterial starter cultures with different species and strain composition that are specially introduced into the mixture. The species composition of the starter must ensure the intensity and direction of the microbiological and biochemical processes of the produced product and guarantee its safety, quality and storability. In particular, lactic acid bacteria transform the main components of milk (protein, milk fat, lactose) into taste, aromatic, and biologically active substances involved in the formation of identification and organoleptic characteristics of fermented dairy products. The number of starter microorganisms in fermented dairy products, including cheeses, significantly exceeds the content of any foreign microflora and can cause the appearance of organoleptic defects such as acid, bitterness, non-specific off-taste or excessive gas formation. The ability of microorganisms to form certain metabolic products is determined both by their species and strain properties, and by cultivation conditions. These include, first of all, the composition of the development environment and temperature conditions of cultivation. By combining the composition of the starter and selecting favorable modes for cultivating microorganisms, it is possible to achieve optimal development of the starter microflora, obtaining products with the desired quality characteristics. This article presents the results of a comparative assessment of the properties of production strains of Streptococcus thermophilus during their development in dairy environments at optimal temperatures (41 ± 1) °C, simulating conditions for the production of fermented milk products, as well as in modes simulating cheese ripening conditions (11 ± 1) °C and 4% table salt concentration. The nature of the enzymatic processes of glycolysis, proteolysis, lipolysis, and flavor formation as a result of the metabolism of these cultures was also assessed.
Impact of COVID-19 on Learning Behavior of Undergraduate Medical Students during Ophthalmology Module; Lessons Learnt
Authors: Nisar Sumera , Alshanberi Asim , Rehman Areeb , Rehman Durraiz
Published: January 2024

This qualitative study was carried out at Batterjee Medical College, Jeddah; KSA to explore the impact of COVID-19 and its related lockdown on the learning undergraduate medical students from December 2019 till July 2020. This qualitative exploratory study, utilizing online focus group discussions to explore the psychological impact of COVID-19 on student’s learning at Ophthalmology department of Batterjee medical college, Jeddah; KSA. Ethical approval was taken from the college and purposive convenient sampling technique was used to collect data. Data was transcribed and analyzed by using thematic analysis. The study identified multifold impact of COVID-19 on student’s learning faced by the 4th year undergraduate medical students during an Ophthalmology module. Social isolation and shift to online mode of teaching and learning were the main challenges that affected student’s learning in many ways. Four major effects of COVID-19 explored in the study were; psychological effects, impact of social disconnect with the peers and patients, impact on learning behavior changes and moment of myself.  Results can be used by the medical educators to understand student’s mind and needs to enhance their academic participation, learning and performance especially in current circumstances of COVID-19 pandemic
AI-driven improvement of monthly average rainfall forecasting in Mecca using grid search optimization for LSTM networks
Authors: Alqahtani Fehaid
Published: January 2024

Predicting the average monthly rainfall in Mecca is crucial for sustainable development, resource management, and infrastructure protection in the region. This study aims to enhance the accuracy of long short-term memory (LSTM) deep regression models used for rainfall forecasting using an advanced grid-search-based hyperparameter optimization technique. The proposed model was trained and validated on a historical dataset of Mecca's monthly average rainfall. The model's performance improved by 5.0% post-optimization, reducing the root-mean-squared error (RMSE) from 0.1201 to 0.114. The results signify the value of grid search optimization in improving the LSTM model's accuracy, demonstrating its superiority over other common hyperparameter optimization techniques. The insights derived from this research provide valuable input for decision-makers in effectively managing water resources, mitigating environmental risks, and fostering regional development.
Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge treatment facilities and thickened primary sludge
Authors: Kamiyama Yudai , Shiraiwa Takuya , Ishikawa Nao , Takahashi Shinji , Sasamoto Makoto , Sasaki Masayuki , Watanabe Toru , Ito Ayumi
Published: January 2024

The separation of P, K, and Mg from surplus activated sludge (SAS) was investigated using existing sludge treatment facilities and the thickened primary sludge (TPS). The addition of the TPS to the SAS storage tank accelerated the anaerobic release of the three elements from SAS with maximum efficiencies of about 60%. The efficiency of P release showed a significant correlation with the oxidation–reduction potential. Increasing the total solid concentration increased the release of elements. The released elements could be transferred to a separate liquid (SL) from a screw-press thickener, and maximum concentrations of P, K, and Mg were about 200, 60, and 35 mg/L, respectively. The addition of CaCl2 and NaOH solutions to SL precipitated P as hydroxyapatite. However, no precipitation of K and Mg occurred simultaneously with P, even when the pH of SL was increased to 9. These findings suggest that about 60% of P, K, and Mg can be separated from SAS into SL using existing sludge treatment facilities and TPS; however, a method other than precipitation would be needed to recover P and K from SL simultaneously.
Revolutionizing marketing: unveiling the quantum theory of consumer engagement
Authors: Torres Torres Camila Dayanna , Patiño Maussa Andrés Juan , Gómez-Bayona Ledy
Published: January 2024

Marketing is a discipline that takes place in the transformation of an idea or visualization of how a business takes place in the market, being almost the perfect analysis of every little detail that can lead you to find those troubles that can be damaging to the business; must help potentialize the product or service marketing is probably the most competitive relationship in the market. This is because of the evaluation of competitors that we have to develop to perform a robust marketing plan and how this can be projected as if it was a fundamental part of the market, saying that far away from trying to convince a client to buy a product, is how emotionally and neurologically examined are being society, to be manipulated into believing these ideas that have been sold to them by the media, government, influencers and even economic status. The article aims to understand how companies manipulate customers into buying not just a product but also the client experience. It compiles global companies' experiences, starting from customer comments to data analysis and Neuromarketing strategies implemented by companies, governments, and states to formulate their plans and achieve their desired markets. Marketing is no longer just a tool, but a vital component in any market.
Is the punishment imposed on women for committing intentional crimes consistent with the principle of justice?
Authors: Abdulvaliev Almaz F.
Published: January 2024

The article considers the question of compliance with the principle of justice of the punishment imposed on women for committing, first, intentional crimes. The purpose of the study is to identify the causes and conditions that contribute to the fact that the court imposes a milder punishment on female persons than on male persons, thereby showing not only humanity, but also leniency. The main scientific methods for the study were chosen analysis of the norms of the Criminal Code of the Russian Federation, analysis of the judicial practice of courts of general jurisdiction based on the results of consideration of criminal cases. The positions of domestic and foreign scientists who had previously considered similar aspects in their works were studied. During the study, it was found that the courts resort to mitigation of punishment since women have dependent young children, and the very fact of their presence is also a mitigating circumstance. But at the same time, the Criminal Code of the Russian Federation does not consider such an important factor as the maintenance and upbringing of a minor child, which, in the author’s opinion, is necessary and important. Since it is necessary to exclude cases of leniency to those who are not engaged in the development and upbringing of their children. The problem is also those cases when the court appoints, in the opinion of the author, a mild punishment for crimes committed with extreme cruelty, sadism and bullying. This can only give rise to impunity and permissiveness among women, which in the future will lead to grave consequences for the institution of the family, society and the state. In general, such a humane approach for women goes against the principle of justice and even the principle of equality of citizens before the law. The author summarizes the need to make appropriate changes to the Criminal legislation of the Russian Federation to bring the norms of criminal law in accordance with the principle of justice and to prevent new crimes.
The impact of property taxes on the investment activities of organizations
Authors: Koroleva Lyudmila P.
Published: January 2024

Property taxation can have a significant impact on investors’ decisions. In Russia, it is actively used to regulate the economic activity of business. On the one hand, the tax burden increased due to the transition to the taxation of the cadastral value of property, with the abolition of a number of federal benefits. On the other hand, the burden on the active part of fixed assets has been reduced due to the exemption of movable property, the provision of other benefits. In this regard, it is relevant to analyze the impact of property taxation on the main indicators of investment activity of organizations. The hypothesis of the research: property taxes have a significant impact on the investment behavior of business, which depends on the specifics of the industry and the fixed capital used in it. The objective of the study is to assess the impact of property taxes on the investment activity in the Russian Federation at the macro level and in the context of key economic activities. The analysis of influence of property taxes on the gross investment indices of different levels was carried out for the years 2006–2021. The analysis by types of activities was conducted for 2011–2021. The methods of economic and correlation-regression analysis were used. The conducted study provides empirical evidence of cause-and-effect relationships between property taxes from organizations and investment in fixed capital in Russia. The tendency of insignificant (1-2%) outstripping growth of investment in the active part of fixed assets in comparison with payments on property taxes was revealed. A strong direct relationship between the aggregate indicators of property taxes from organizations and investment in fixed capital was revealed. However, it is not confirmed in the context of types of economic activity. A significant inverse relationship is established between property taxes and investment in fixed capital in the sphere of electricity, gas and steam supply, as well as transportation and storage. Manufacturing industry, construction, agriculture and forestry received a positive effect from the abolition of the tax on movable property. The contribution of these industries to property taxes is much smaller than their contribution to fixed capital investment. The results obtained can be used in the development of tax incentives for investment activity of organizations.
High-potential human resources under the new economic conditions: issues of management in the place marketing system
Authors: Simonova Lyudmila M. , Zyrianova Anna S.
Published: January 2024

The latest geopolitical events and the new economic reality have significantly altered the labour market and human resource management practices, highlighting “talent”, i. e. high-potential professionals, as a strategically important category. This work aims to form the concept of high-potential human resource management in the system of place marketing of the region (the Tyumen Region was taken as an example). In the “war for talents,” regions traditionally compete for youth and young families with children. Considering the two recent waves of relocation, migrants — former residents of the region who now live outside the region or country — should be considered as an important target group. The online survey, carried out for more than 100 ex-residents of the Tyumen Region, has revealed the prospects of their participation in the regional economy and built the basis of the brand platform of the Tyumen Region for this target audience. It is proposed to integrate such HR-marketing tools as EJM (Employee Journey Map), EX (Employee Experience), and ERM (Employee Relationship Management) into the management system for this segment.
Analysis of crises in related economies on the example of Latin American countries
Authors: Romashkina Gulnara F. , Andrianov Kirill V. , Bogdanenko Anna A.
Published: January 2024

This article provides an analysis of the key macroeconomic and financial indicators of Latin American countries in 2020–2022. The objective is to periodize the behavior of economic indicators in the connected economies of developing countries. The relevance of the study lies in the need to understand the mechanisms of behavior of economic entities in crisis situations. Latin American countries were chosen as a model for the study because they are characterized by a high degree of connectivity, as they all fall into the category of developing countries and differ significantly in the behavior of regulators in crisis conditions. Based on the objective, the analyzed period for the region under consideration was conditionally divided into four stages: the initial panic of 2020, the period of the beginning of recovery at the end of 2020, the recovery of economies against the background of rising inflation in 2021, and a decrease in recovery growth due to instability in 2022. The methodology shows general trends and characteristic deviations caused by general and specific factors. General trends describe the behavior of economic indicators in the selected four stages of the crisis. The deviations show how related economies react to general external shocks in specific conditions. For example, the size of the economy and domestic economic policy have shown themselves as specific factors. The results show that Brazil’s larger economy was more affected by the inflationary shock and took tougher measures with regard to the central bank rate. Throughout the crisis and the subsequent period, Mexico demonstrated a lower unemployment rate and a lower level of government budget losses.
Development of intra-company planning tools at an oil and gas producing enterprise
Authors: Khazhin Denis I. , Salko Miroslava G. , Plenkina Vera V.
Published: January 2024

Due to various external factors such as the economic crisis and the depletion of easily accessible hydrocarbons, oil and gas companies are facing the challenge of developing hard-to-recover reserves. As a result, these companies need to reevaluate their tools and approaches to intra-company planning. This article explores the enhancement of intra-company planning by adjusting traditional methodological tools in response to the industry-specific nature of oil and gas enterprises. The authors focus on the balanced scorecard method and identify its limitations in the classical model. They propose adjustments by introducing additional key performance indicators to improve the system of intra-company planning. An algorithm for optimizing intra-company planning in oil and gas companies is developed, integrating the balanced scorecard approach. To validate the effectiveness of these recommendations, the authors analyze the degree of achievement of target performance indicators for activity planning efficiency in one oil and gas company. The results of the study are confirmed through forecasting methods, demonstrating that the implemented measures lead to long-term improvements in enterprise efficiency and overall management decision-making. It is worth noting that these recommendations can be applied to numerous industrial sector enterprises in the Russian Federation.
The legal concept of the formation of a humanitarian science city of a non-industrial city (on the example of the city of Khanty-Mansiysk)
Authors: Ryashin Maxim P.
Published: January 2024

The article deals with the development of a legal concept for the formation of a humanitarian science city of a modern non-industrial city based on the actual material of the city of Khanty-Mansiysk. The relevance of the chosen topic is determined by the most important task of effective and comprehensive legal regulation and organizational and legal support for the socio-economic development of Russian cities and regions, considering the specific features of their historical, geographical, political, legal, social and other characteristics. To solve this problem, the activity of science cities is still relevant, which in modern conditions can expand the scope of scientific research in the fields of not only technical and natural sciences, but also form humanitarian science cities based on non-industrial cities. The purpose of the study is to substantiate the municipal legal concept of creating humanitarian scientific clusters and transforming non-industrial cities (on the example of the city of Khanty-Mansiysk) into humanitarian science cities, the research topics of which will be scientific, practical and interdisciplinary in nature. The objects of study, considering the goal, include science cities and scientific clusters created in the non-traditional for them sphere of humanitarian scientific activity and the proposed method for their creation: at the initiative of regional and local scientific institutions, universities, public associations, organizations, scientific schools and creative teams. The novelty of the conceptual approach lies in the fact that for the first time in legal science the issues of legal regulation of the formation of humanitarian science cities are considered.
John Paul II and respect for local cultures
Authors: Franck María Inés
Published: January 2024

The cultural issue has undoubtedly been one of the main ideas of John Paul II's pontificate. This paper reviews the main definitions of culture that the Polish Pope left us, relating them to the identity of peoples. In this same sense, a brief analysis of the phenomenon of globalization is made as it was developed by John Paul II, and it ends with a brief reference to the impact of this phenomenon on local cultures.
Do human rights really protect us? The evolution of the concept of human rights influenced by the work of the inter-american court of human rights
Authors: Abbott Max Silva
Published: January 2024

This text explores the growing influence of International Human Rights Law, focusing on the Inter-American System. It argues that human rights have attained a status akin to a "secular religion," shaping the legitimacy of states globally. Criticizing the hierarchical and unaccountable nature of bodies issuing internationally recognized treaties, the text examines specific characteristics of the Inter-American Human Rights Law, such as autonomous treaty interpretation and the control of conventionality doctrine. The concept of a "minimum standard" is scrutinized, raising concerns about the infallibility of treaty body  interpretations. The existence of parallel legal orders and the relationship between national and international frameworks is discussed, unveiling potential challenges and an "infallibility complex" among human rights defenders.
Analisis Hidrolika pada Uji Model Pelimpah Bendungan Warsamson Papua Barat dengan Pendekatan Perangkat Lunak Autodesk Computational Fluid Dynamics (CFD)
Authors: Muhammad Aulia Arsal  , Anggara Wiyono Wit Saputra  , Suwanto Marsudi
Published: January 2024

Indonesia memiliki kekayaan sumber daya air yang melimpah dan dimanfaatkan untuk kesejahteraan rakyat. Beberapa permasalahan pun terjadi seperti banjir dan kekeringan yang melanda Kabupaten Sorong, Papua Barat. Upaya pemerintah dilakukan melalui Badan Wilayah Sungai (BWS) Papua Barat berupa pembanguanan Bendungan Warsamson. Tahap awal pembangunan diawali dengan perencanaan konstruksi oleh konsultan kemudian dilanjutkan pembuatan model fisik. Pemodelan fisik dilaksanakan di Laboratorium Pengelolaan Sumber Daya Air (PSDA) Terpadu Universitas Brawijaya. Selain model fisik dilakukan juga penyesuaian desain dalam bentuk model tiga dimensi dengan pendekatan perangkat lunak Autodesk Computational Fluid Dynamics (CFD) untuk mengetahui sifat hidrolis pada bendungan secara mendetil pada bangunan pelimpah Bendungan Warsamson. Penelitian ini menggunakan bantuan perangkat lunak lain berupa Autodesk AutoCAD dan Inventor. Luaran penelitian berupa hasil simulasi yang memuat data nilai profil muka air, kecepatan aliran, dan tekanan hidrostatis sebagai parameter utama dalam perencanaan Bendungan Warsamson. Hasil simulasi pengaliran debit banjir pada model tiga dimensi pelimpah Bendungan Warsamson memenuhi standar desain.
Perbandingan Perencanaan Irigasi Pancar Dan Irigasi Tetes Pada Tanaman Jeruk Dan Alpukat Di Kebun Percobaan
Authors: Mahmud Adibi  , Moch. Sholichin  , Tri Budi Prayogo
Published: January 2024

Abstrak: Irigasi dilakukan dengan memberikan air langsung kebawah permukaan tanah, penggenangan disekitar area tanaman, atau dengan cara menyiram. Di Indonesia mayoritas masih menggunakan irigasi permukaan yang memiliki nilai kehiangan air yang cukup tinggi, dalam penelitian ini dilakukan analisa perencanaan jaringan irigasi tetes dan pancar guna mengetahui tingkat efektivitas dari kedua sistem jaringan tertutup tersebut. Hasil dari analisa perencanaan didapatkan kesimpulan dari kebun yang dilakukan penelitian dibagi menjadi 3 zona yaitu : zona 1dan zona 2 tanaman jeruk menggunakan irigasi tetes, dan zona 3 tanaman alpukat menggunakan irigasi pancar. zona 1 memiliki luas 1356,4 m2 dengan 108 tanaman jeruk membutuhkan 68 m pipa 2”, 267 m pipa 1 inc, 39 buah sambungan, dan 108 buah emiiter dengan kebutuhan air sebesar 1,07 lt/dt. Zona 2 memiliki luas 771,25 m2 dengan 71 tanaman jeruk membutuhkan 72 m pipa 2”, 174 m pipa 1”, 41 buah sambungan, dan 71 buah emitter dengan kebutuhan air sebesar 0,61 lt/dt. Zona 3 dengan luas 505,01 m2 dengan 49 tanaman alpukat membutuhkan 68 m pipa 2”, 150 m pipa 1”, 31 m pipa ½”, 45 buah sambungan dan 31 buah sprinkler dengan kebutuhan air sebesar 0,4 lt/dt. Total RAB yang dibutuhkan dalam prencanaan sebesar Rp 25.320.000,- dengan pembagian dari zona 1 sebesar Rp 7.184.941,- , zona 2 sebesar 5.991.819,- , zona 3 sebesar Rp 7.184.941,- dan rangkaian pompa dan saluran primer sebesar Rp 1.957.992,-. Dengan ditambah PPn sebesar 11% sehingga total RAB yang diperlukan sebesar Rp 25.320.000,-.
The implementation of health operational cost management in reducing stunting in the Kalisat Community Health Centre, Jember Regency
Authors: Khikmah Masilatul , Herawati Yennike Tri , Baroya Ni'mal
Published: January 2024

Background : BOK Funds are used to finance ten activities that promote and prevent health, including community health centre management and malnutrition reduction. Other sources of funding for stunting include the State Budget, the Local government budget, village funds, and the BOK. According to the 2018 Jember Regency BOK budget realization report, the average utilization of BOK funds by Jember Regency community health centres was 89.99%. This typical rate of absorption is regarded as satisfactory. This is not consistent with the increase in stunting, particularly at the Kalisat Community Health Centre, which increased by 25.07 % in 2019.

Objectives : The objectives of the study were: a) to evaluate the planning; b) to evaluate the mobilization and implementation; and c) to evaluate the supervision, control, and performance evaluation of BOK in reducing stunting.

Methods : Therefore, this study employed a qualitative methodology and case study research design. Informants involved in this research were the head of the community health center a person in charge of the BOK, secretary and a member of the BOK management, the head of administration, nutritionist at the community health center, and regional midwife. Completed research conducted in August of 2020. An interview guide, in-depth interviews were utilized to collect data.

Results : According to the study's found that the series of management activities were in accordance with the guidelines. Planning is carried out from the bottom up, Mobilization and Implementation are carried out through Lokmin, but Lokmin participants are often absent due to multiple tasks (e.g., there were several activities that did not go according to plan, particularly during the pandemic era, there were double jobs, and workshop participants were frequently late.) BOK is used to finance the operational costs of stunting prevention program activities.

Conclusions: Planning, mobilization, implementation and use of BOK funds are in accordance with guidelines and budget allocation. Mini workshops should be held at agreed times and take into account officers who have double jobs
A prospective observational study to evaluate the association of various maternal risk factors with increasing incidence of term neonatal jaundice
Authors: George Neetha , Dinesh Devina
Published: January 2024

Background: In our setting majority of the mothers were discharged on postnatal day 3.but over the past few years the NICU admissions also increased prolonging the hospital stay of mothers leading to increase in the hospital acquired infections for both mother and baby. This study was developed in this context.

Objectives: The present study was performed with the purpose of establishing the incidence of neonatal jaundice in term neonates and the role of the various maternal factors being responsible for exaggerated physiological hyperbilirubinemia in term neonates.

Methods: Using the NICE gestational age-based phototherapy chart, this study analysed serum bilirubin of the term newborns on their day 2 of life. Total 155 antenatal mothers were taken for study. Associations between maternal risk factors and neonatal jaundice and comparing risk factors in early-term, term, and late-term newborns were assessed using chi-squared or Fisher’s exact tests

Results: Incidence of neonatal jaundice is 58.1% in this study. Age, BMI, weight gain of the mother had no significant correlation with neonatal jaundice. Blood group incompatibility had a positive corelation (P=.001) Gestational age at the time of delivery determines the neonatal outcome. (P=.001). As gestation advances the neonatal outcomes are better. Hyperbilirubinemia incidence more at 37 -38 weeks when compared to 39 weeks. Maternal comorbidities, amniotic fluid volume changes, mode of delivery didn’t have statistical significance. when new-born factors are considered birth weight, gender growth problems, blood group has no statistical significance whereas dehydration proved to be significant (P=.001). meconium-stained amniotic fluid[P-0.034] were found to be associated with the development of neonatal jaundice.

Conclusions: The prevalence of jaundice is higher in this study. maternal and foetal blood group incompatibility, gestational age at delivery, meconium-stained amniotic fluid, neonatal dehydration was found to be associated with the development of neonatal jaundice.