bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Adaptability Strategy to a Novel Kinetic Adaptive Façade (NKAF); Toward a Pioneering Method in Dynamic-objects Daylight Simulation (Post-Processing)
Authors:   Compu-lyzer Architects Association, Department of Architecture, Tarbiat Modares University, Tehran, Iran, Goharian Ali , Mahdavinejad Mohammadjavad ,   Compu-lyzer Architects Association, Department of Architecture, Tarbiat Modares University, Tehran, Iran, Ghazazani Sana ,   School of Architecture and Environmental Design, Iran University of Science & Technology, Tehran, Iran, Hosseini Seyed Morteza ,   Department of Architecture, Design & Media Technology, Aalborg University Copenhagen, Denmark, Zamani Zahra ,   Department of Energy and Architecture, University of Tehran, Tehran, Iran, Yavari Hossein ,   Compu-lyzer Architects Association, Department of Architecture, Tarbiat Modares University, Tehran, Iran, Ghafarpoor Fereshteh ,   Department of Energy and Architecture, University of Tehran, Tehran, Iran, Shoghi Fataneh ,   Department of Energy and Architecture, University of Tehran, Tehran, Iran
Published: February 2025

The design and evaluation of adaptive facades (AFs) have become increasingly complex due to advancements in morphology, control strategies, and adaptability techniques. This study introduces a Novel Kinetic Adaptive Facade (NKAF) incorporating photovoltaic (PV) panels and Plexiglas to enhance daylight and view performance in office buildings. The research focuses on two objectives: (1) the innovative design of the NKAF, and (2) dynamic assessment of its daylight performance using advanced simulation methodologies. Annual daylight simulations, conducted with Radiance and a cutting-edge dynamic-objects workflow, evaluated three adaptability strategies: blocking direct sunlight, tracking solar trajectories, and minimizing facade movement. Results indicate that the fully dynamic sun-blocking logic significantly improved useful daylight illuminance (UDI 100-3000 lux) from 49% to 90%. Additionally, post-processing with NSGA-II multi-objective optimization provided an optimal framework for annual performance, effectively balancing multiple design goals. This novel methodology enables the simulation of dynamic environments and facades, addressing a key gap in previous daylighting research.
Optimizing Kubernetes-based Multi-Tenant Container Environments in OpenStack for Scalable AI Workflows
Authors:   SelectMinds, Chicago, IL, USA, Patchamatla Pavan Srikanth
Published: February 2025

The integration of Kubernetes with OpenStack offers a promising approach for deploying scalable and
efficient AI workflows in multi-tenant cloud environments. This study evaluates the performance, scalability, and
security implications of this integration, focusing on bare-metal, virtual machines (VMs), and containers as resource
provisioning methods. The objectives include designing a unified framework combining Kubernetes' orchestration
capabilities with OpenStack's infrastructure provisioning, assessing resource optimization strategies, and proposing best
practices for AI workload management. The methodology involves benchmarking CPU, memory, disk I/O, and network
performance using tools such as PXZ, Sysbench, and Netperf. The study also examines the scalability and security of
multi-tenant deployments, leveraging Kubernetes namespaces, GPU sharing, and Neutron overlays. Key metrics
include latency, throughput, and cost-effectiveness. The results highlight that bare-metal environments provide the
highest raw performance, while containers achieve a balance between efficiency and scalability. VMs offer robust
isolation but incur significant overheads. Scalability analysis demonstrates containers' superior resource utilization and
cost-effectiveness, whereas bare-metal systems struggle with underutilization in multi-tenant setups. The discussion
addresses challenges such as network overheads and resource contention, proposing solutions like optimizing
Kubernetes-Neutron configurations and adopting advanced GPU scheduling. This research contributes to the
optimization of cloud-native AI workflows and underscores the importance of secure, scalable infrastructure in hybrid
cloud environments.
Traffic Optimization Utilizing AI to Dynamically Adjust Network Routes based on Real-Time Traffic Patterns to Minimize Latency and Maximize Throughput
Authors:   Independent Researcher, Yondertech Dallas, Texas, USA, Katragadda Santhosh , Kehinde Odubade ,   Independent Researcher, Yondertech Dallas, Texas, USA
Published: February 2025

: Internet network optimization techniques require immediate expansion because users require fast latency
performance alongside improved data transmission speed. Dynamic traffic systems operate with Machine learning
algorithms that belong to the Artificial Intelligence category to power their fundamental operational tools. Through
real-time data processing, AI systems can modify network pathways in operation thus generating enhanced
performance together with outstanding user interface quality. Using reinforcement learning and neural networks
developed by artificial intelligence enables better traffic prediction along with response abilities (Zhang et al., 2020).
The effectiveness of networks improves from dynamic routing since it addresses congestion issues to boost overall
system data transfer speeds according to Lee et al. (2019). Large real-time data stream processing through AI systems
promotes network flexibility that leads to enhanced operational results for unpredictable internet traffic (Kumar & Rao, 2020). Before displaying internet infrastructure network applications this research evaluates multiple AI traffic optimization approaches to determine their latency performance measurements including throughput rates.
Optimizing Performance of Enterprise Applications through Cloud Resource Management Techniques
Authors:   CMS Engineer, Lead, Department of Information Technology, Teach for America, New York, NY, USA, Kambala Gireesh
Published: February 2025

: Enterprise application performance determines business success levels because these systems enable
decisive operational functions and decision processes. Cloud computing is an innovative management solution that
provides adaptable systems, scalable abilities, and affordable operational costs for enterprise applications. Maximizing
cloud benefits requires proper management of cloud resources to take complete advantage. The paper evaluates
significant cloud resource management approaches, including auto-scaling, load balancing, resource optimization, and
AI technology to handle performance issues. Multiple best practices are delivered that help achieve top application
performance, reduced costs, and reliable operation. This text investigates modern cloud resource management patterns
through edge computing analysis, serverless architecture, and sustainable cloud environment approaches for future
cloud resource management frameworks. The adopted strategies shield applications from interrupti
Maximizing Efficiency: The Cost-Effective Benefits of AI and Enterprise Cloud Services (ECS) in US Banking Cloud Migrations
Authors:   Master of Computer Applications, Kakatiya University, India, Bokka Veera Venkata Ramana Murthy
Published: February 2025

Integration of Artificial Intelligence (AI) and Enterprise Cloud Services (ECS) are revolutionizing cloud
migration, an important part of digital transformation in the banking sector. As US banks continue to shift to the cloud,
they are also utilizing AI and ECS to drive up operational efficiency, cut costs and bolster service delivery. Based on
research, this work illustrates the impact of AI and ECS on decreasing the cost of cloud migration in terms of
addressing common issues like data security, system integration with legacy systems and resource allocation. These
combined technologies come with AI’s ability to automate processes, enrich data analytics and optimize decision
making, all while these new areas of technology operating on the scalable infrastructure solutions of ECS making them
integral for taking modern banking operations forward. It further identifies some of the key challenges of cloud
migrations such as integration hurdles, compliance doubts and the cost management problems and looks at how AI and
ECS can potentially help address these problems. This research, which performs a deep analysis of current trends,
demonstrates how AI and ECS accelerate and make cloud migrations more low cost to support the long term growth
and competitiveness of the banks. Additionally, the paper outlines the future vital opportunities for AI and ECS like
multi cloud environments, edge computing and the advancement of machine learning, which will revolutionize the
banking industry. The paper ends by highlighting the continued need for AI and ECS technology innovation, as well as
future research focused on the emerging needs and challenges of the banking sector for cloud migrations. This study
contributes to action for banking executives, policymakers, and cloud service providers to work in the complicated
environment of cloud computing for the banking sector with the focus on the operational and the financial advantages.
Analysis of Slope Stability in Construction
Authors:   College of Civil Engineering, Hunan City University, Yiyang, China, Di WU ,   College of Civil Engineering, Hunan City University, Yiyang, China, Zhigao PENG , Weiqi FANG ,   College of Civil Engineering, Hunan City University, Yiyang, China
Published: February 2025

This paper aims to systematically analyze multiple critical factors influencing slope stability, particularly
the interrelationship among pore pressure, evolution of material properties, and the factor of safety (FOS). By
establishing a finite element model, an in-depth investigation into slope sliding behavior was conducted, leading to the
following conclusions: (1) When the factor of safety (FOS) reaches 1.9, the slope exhibits non-convergence, indicating
the onset of instability, which highlights the necessity of particular attention to stability during the design process under
critical conditions; (2) The non-uniform distribution of pore pressure and the presence of unsaturated soil layers
significantly impact slope stability. This is particularly critical in the toe region, where sliding phenomena are notably
severe and warrant close scrutiny; (3) The study reveals a nonlinear relationship between maximum slope displacement
and FOS, especially as values approach the limit, characterized by a sharp decline in stability. The findings provide
crucial data support and theoretical guidance for slope design, reinforcement measures, groundwater management
strategies, and the development of monitoring systems in hazardous areas.
Effects of Phosphorous Solublizing Bacteria with Mineral Phosphorous on Wheat Yield in New Halfa Irrigated Scheme at East of Sudan
Authors:   Associate Professor, Department of Crop Sciences, Faculty of Agriculture, University of Blue Nile, Sudan, Abdelshakoor H. Suliman , Ahmed Badr Eldin A. Mohammed ,   Associate Professor, Department of Crop Sciences, Faculty of Agricultural, University of Kassala, Sudan, M., M.A. Abdo. ,   Agricultural Engineer, New Halfa Scehme, Ministry of Production and Natural Resources, Sudan, Naeem Abdel Rahim ,   Associate Professor, Department of Crop Science, Faculty of Agriculture, University of Kassala, Sudan, Salih Sami M. ,   Associate Professor, Department of Food Science, Faculty of Agriculture, University of Kassala, Sudan, Mahmoud Mahmoud A. ,   Associate Professor, Department of Agricultural Economic, Faculty of Agriculture, University of Kassala, Sudan, Ahmed Mohamed.O. ,   Associate Professor, Department of Food Science, Faculty of Agriculture, University of Kassala, Sudan, Mustafa Sumia M ,   Associate Professor, Department of Food Science, Faculty of Agriculture, University of Kassala, Sudan
Published: February 2025

Multi locations experiment was conducted or two consecutive winter seasons (2017/ 2018 and 2018/
2019), at three regions (Southern, middle and Northern) of New Halfa scheme to study the effect of bio-fertilizers
(namely Phosphorous solublizing Bacteria) with N fertilizer on grain yield of wheat. The experimental locations (sites)
were Hajer (L1), Faculty of Agriculture (L2) and Shebaik (L3) which represented three types of soils and environments
of New Halfa scheme Eastern Sudan. The experiment was arranged according to randomized complete block design
(RCBD) with three replicates in each site. The bio fertilizers treatments were inoculation with P–solublizing bacteria
(FB Bacillus mucilaginous) solely or with 43 kg, 86 kg P hectare in addition to control treatment. The yield attributes
parameters include grains number and weight per plant, spike length, number of spikelets per spike, 100–grain weight
and grain yield/ha. The results revealed that, inoculation seeds with Bacteria increased yield parameters particularly in
first season at all sites. Addition of P to bio fertilizer(FB+86kg N\ha) relative to control treatment significantly
increased all aforementioned yield traits particularly grain yield/ha by more than 54% at northern site (Shebaik) of
New Halfa Scheme, which was associated with significant increased in related character 1000–grain weight.
Inoculation, application of bio fertilizer with P, can greatly increased yield of wheat at all regions of New Halfa
scheme.
From Query to Glory: Mastering Database Efficiency in Large-Scale Applications
Authors:   Principal Data Engineer, Napa Analytics LLC., Virginia , USA, Tella Kalpana
Published: February 2025

In the era of digital transformation, large-scale enterprise applications are pivotal for organizational
success. Ensuring database efficiency is critical for seamless operations, quick data retrieval, and enhanced user
experience. This article explores advanced strategies for database optimization, covering indexing techniques, query
optimization, caching mechanisms, multithreading, and NoSQL databases. By delving into these methodologies, this
paper presents practical insights and case studies to improve database performance, scalability, and reliability for
modern applications.
How shearing affects air dissolution in fresh cement pastes under pressure
Authors: Galvez-Moreno Daniel , Feys Dimitri , Riding Kyle
Published: February 2025

The air-void system of concrete is of paramount importance to ensure freeze–thaw durability. Pumping induces detrimental changes in the air-void system of concrete by dissolving the air bubbles in the surrounding water when pressure increases due to the pump action. This research work investigates the influence of shear rate and air-void size distribution on air dissolution with time of cement pastes under pressure. Steady-state shear rheology at different shear rates was applied on samples of different air-void size distributions but similar air contents. Due to the low capillary number of the mixtures, the application of pressure caused a decrease in viscosity. With increased applied shear rate and increased fineness of the air-void size distribution, the decrease in viscosity was more abrupt, indicating that the air dissolved almost immediately. Coarser air-void size distributions and lower shear rates caused a more gradual decrease in viscosity and thus a slower air dissolution. All experimental air dissolution times were lower than the calculated time needed for dissolution by pure diffusion. These results on the combined effect of pressure, duration, shear rate and air-void size distribution create the basis for a deeper understanding of the behavior of the air-void system of concrete during pumping.
Discharge of Saltwater from Permian Rocks to Major Stream-aquifer Systems in Central Kansas
Authors: Gogel Tony
Published: February 2025

Saline-water inflow from Permian rocks has resulted in the degradation of freshwater systems in several areas of central Kansas. Solution of evaporite beds has occurred along the eastern edge of the Wellington Formation, chiefly within the Hutchinson Salt Member and associated gypsum units. The solution, caused by leakage of freshwater primarily from overlying unconsolidated deposits, has resulted in formation of a discontinuous zone of solution cavities and collapsed beds. This zone, which extends southward from Salina to near Wellington, contains large quantities of saltwater and is termed the Wellington aquifer.
The generalized potentiometric surface of the Wellington aquifer is determined from water-level measurements in observation wells and from digital model studies. A ground-water divide is indicated on this surface east of Hutchinson where the gradient slopes northward toward the Smoky Hill River valley and southeastward toward eastern Sumner County in the Arkansas River valley.
The digital model and field evidence indicate that there are several major areas where the potentiometric surface of the Wellington aquifer is above the water table of the overlying freshwater deposits. This difference in head provides a mechanism for the upward leakage of saline water. Areas of saline-water encroachment to freshwater systems are near Belle Plaine, Adamsville, and Geuda Springs in south-central Kansas and in the Smoky Hill River valley east of Salina. Another area of possible saline-water contamination is southeast of Hutchinson. Owing to erosion of most of the intervening shale layers, the Wellington aquifer may be in hydraulic connection with the aquifer in the unconsolidated deposits.
Regression analyses and measurements of seepage and salinity were used to determine the amount of saltwater discharge and chloride-load increase to the Arkansas River and its tributaries between Derby and Arkansas City during 1970-74. These analyses indicate that approximately 0.60 cubic foot per second of saltwater is entering the freshwater system in this area and that the average increase in chloride load is about 294 tons per day.
Possible methods of alleviating saline-water intrusion include desalinization, dilution, evaporation, and diversion. Interception may be accomplished by installation of wells in the Wellington aquifer or at the base of the unconsolidated deposits or by construction of collection systems at land surface in areas of seeps and springs. Following interception, possible methods of saline-water disposal include: (1) injection into the Arbuckle Group of Cambrian and Ordovician age, (2) dilution with freshwater in streams during high-flows, or (3) evaporation from surface ponds.
Chemical Quality of Irrigation Waters in West-central Kansas
Authors: Hathaway Lawrence R. , Magnuson L.M. , Carr B.L. , Galle O.K. , Waugh T.C.
Published: February 2025

The principal aquifer in southern Wallace, Greeley, Wichita, Scott, and Lane Counties is the Ogallala formation. Analysis of ground water samples collected from 154 irrigation wells in this 4 1/2 county area during summer of 1974 indicate waters of this region are basically calcium-magnesium bicarbonate in nature. Higher salinities and increased sulfate contents are observed for wells in parts of the Scott Basin area, which appear to be in association with saline soils.
Compiled chemical quality data and chemical quality contour maps for the area of study are presented. This report represents the first phase of a program directed toward establishing base line chemical quality data for irrigation waters in western Kansas.
FORTRAN IV Program for Canonical Variates Analysis for CDC 3600 Computer
Authors: Reyment Richard A. , Ramdén Hans-Åke
Published: February 2025

This FORTRAN IV program for canonical variates for a maximum of 30 variables performs several functions: (1) basic statistics for each sample are computed and the covariance matrices tested for homogeneity; (2) the generalized determinantal equation is solved and eigenvalues tested for significance; (3) the mean vectors are tested in a one-way multivariate analysis of variance for significant difference; and (4) the first two elements of the transformed mean vectors and transformed observations are plotted.
Application of the program is illustrated by two examples: observations on Upper Cretaceous echinoids from England and matrix input data from an anthropomorphic problem.
Minimum Entropy Criterion for Analytic Rotation
Authors: McCammon Richard B.
Published: February 2025

Minimum entropy is described as an analytic criterion for rotation to simple structure for both principal component and factor analysis data matrices. Minimum entropy rotated matrices come closer to achieving the ideal simple structure than is possible using the varimax method in the sense that a greater proportion of absolute values of the coefficients in the rotated matrix lie closer to zero. This allows greater ease of recognition of the underlying structure in the original data array. The concept of rotation is extended to include rotation of principal components. Numerical examples are given to illustrate the application of minimum entropy rotation in both principal component analysis and factor analysis.
An Iterative Approach to the Fitting of Trend Surfaces
Authors: Cole A.J.
Published: February 2025

The method described in this paper is a further development and considerable improvement on that described in a previous Computer Contribution (Cole, Jordan, and Merriam, 1967). The basic problem is the same as described in that publication, namely the problem of fitting a surface to a scattered data set of xyz-coordinates and plotting the corresponding contour lines using a digital plotter. The contouring technique finally is the same as described in the above publication and the reader is referred to that paper for details. Other approaches to the general problem are listed in the references at the end of this paper. The method employed in this paper has been described by Cole (1968).
FORTRAN IV Program For Nonlinear Estimation
Authors: McCammon Richard B.
Published: February 2025

NONLIN is a FORTRAN IV computer program for estimating parameters in algebraic nonlinear simultaneous equations. The program is designed for problems in which the number of observations equals or exceeds the number of parameters to be estimated. Starting from initial estimates, a modified Gauss-Newton procedure is used to obtain an improved set of parameter values. The process is continued until a set of best estimates has been obtained. A number of options in the program offer wide flexibility in handling a variety of nonlinear problems. Numerical examples are given for dissecting a bimodal distribution into normal components and estimating the porosity in vuggy carbonates.
FORTRAN IV Program for Construction of PI Diagrams with the Univac 1108 Computer
Authors: Warner Jeffrey
Published: February 2025

Graphic analysis of fabric data by constructing orientation diagrams is a standard method in structural geology. Turner and Weiss (1963) and Whitten (1966) among others, present methods of constructing the diagrams. This paper describes a computer program, written in FORTRAN IV for the Univac 1108, for constructing the orientation diagrams. The program also has been run on IBM 7040, 7094, 360/40, 360/65, and 360/67 computers.
The program is listed in Appendix II and details of the input deck are given in Appendix I. Samples of input and output are presented in Appendix III.
I wish to thank Drs. C. Klein, D. R. Waldbaum, and M. P. Billings for helpful discussions during writing of the program. Computer funds were provided by Dr. C. Klein through NSF grant 2723 to Harvard University, the Manned Spacecraft Center of NASA, the Maine Geological Survey, Dr. P. Fenner and Dr. P. Butler of the University of Pennsylvania, and the Geology Department of Franklin and Marshall College.
FORTRAN IV Programs for Canonical Correlation and Canonical Trend-Surface Analysis
Authors: Lee P.J.
Published: February 2025

In the statistical technique of simple linear regression a dependent variable, Y, is related to an independent variable, X, by an equation of the type
Y = bX + ε,
where ε is a random variable. The "strength of the relationship" of Y and X may be expressed by the correlation coefficient, r.
In multiple linear regression, the dependent variable is related to several independent variables by an equation of this type
Y = ∑biXi + ε.
The multiple correlation coefficient serves as a measure of the "strength of the relationship". More precisely, the square of the multiple correlation coefficient gives the proportion of the total sums of squares of Y which may be attributed to variation of the Xi.
Multiple correlation techniques have been applied frequently in geology. A typical application might relate a bulk property of a rock (e.g. permeability) to a series of mineralogical or textural properties (e.g. mean grain size, sorting, skewness, etc.).
It is not unusual, however, for geologists to make two (or more) sets of measurements on a single specimen (e.g. size and compositional parameters, trace element and major elements, or chemical and modal analyses) or at a single locality (e.g. formation thickness, sand percentage, etc., and size or compositional parameters). It may be of interest to attempt to relate one set of variables to another set of variables, to discover equations of the type
U = ∑aiXi, and
V = ∑bjYj,
where the coefficients ai and bj are chosen to give the largest possible correlation between U and V. This technique is called canonical correlation.
As an extension of this technique, the Xi might be chosen to be geographical coordinates (and their polynomials) of a set of spatially distributed variables, Yj. In this instance, the technique would be similar to that of trend analysis, except that the trend which is determined is not the trend of any particular variable, Y, but is the common trend of a set of variables, Yj. This technique may be called canonical trend-surface analysis.
FORTRAN IV Computer Programs for Markov Chain Experiments in Geology
Authors: Krumbein W.C.
Published: February 2025

Probabilistic models provide a mechanism for computer simulation of a wide variety of geological processes. This paper emphasizes first-order Markov chains because of their intuitive appeal and rapidly growing applications. Examples are based on stratigraphic analysis, but other uses of the model are discussed briefly.
First-order Markov chains are among the simplest stochastic process models, and they afford a point of entry into a large class of probabilistic mechanisms that can be useful in geology. This paper is designed to stimulate experimentation with these models, in part by providing relatively simple computer programs that cover four aspects of such analysis. These programs, listed in the Appendix, include one for testing the presence of a Markov property, a second for raising the transition probability matrix to successive powers in order to estimate the equilibrium states (i.e., the fixed probability vector) of a system, and a third for using the transition matrix in simulation studies. A fourth program for simulating independent-events processes (non-Markovian) can be used with the fixed probability vector of a Markov chain to obtain some interesting comparisons among different ways of structuring a sequence of observations or events.
FORTRAN IV Program for Mathematical Simulation of Marine Sedimentation with IBM 7040 or 7094 Computers
Authors: Harbaugh John W. , Wahlstedt Warren J.
Published: February 2025

Utilizing an IBM 7040 or 7094 computer, a mathematical model of marine sedimentation imitates the behavior of sediments as they are transported and deposited within a marine sedimentary basin. By mathematical means, in symbolic three-dimensional space, the model imitates the processes of tectonic warping, winnowing of sediments along beaches, formation of deltas, and growth and interaction of organism communities, including algal banks and coral reefs that populate the sea floor. The model is operated by assuming a set of external controlling conditions and feeding these into the computer as numerical data. The model is then run forward, by increments, through geologic time. Several million years of geologic history can be recreated in an hour or less of IBM 7040 computer time.
Output from the program representing the model is in the form of lithofacies maps, structure maps, biofacies maps, water depth maps, and up to six geologic cross sections that show both structure and facies relationships. An additional feature provides the output of mirror images of the cross sections if construction of a three-dimensional display is desired. A series of maps arid cross sections can be printed for each increment of geologic time, making it possible to observe progressive geologic changes as they occur.
The model is used as an experimental tool for observing the response to a set of assumptions. When a change in the data used to control the program is made, the model responds dynamically within a few seconds of computer time. Deltaic deposits, ancient beaches, algal reefs, and other sedimentary features develop progressively and undergo structural deformation with startling realism.
The principal objective in geological mathematical modeling is to produce symbolic geologic products (such as sedimentary strata) by imitating the principal geologic processes that produce the products. There is, however, uncertainty as to the mode of operation and relative importance of many processes. Consequently, assumptions may be made and tested on a trial and error basis. If the results of a computer run with the model do not agree well with reality (i.e. the symbolic deposits do not accord well with real sedimentary deposits that are being imitated), the assumptions can be progressively changed, and new runs made until the model begins to perform realistically.
The mathematical model is embodied in a FORTRAN IV computer program which has been successfully run on an IBM 7040 and IBM 7094 with satisfactory results. With minor modifications, the program can probably be used with computers of other manufacturers, and with IBM System 360 computers.
Therapeutic targeting of Aurora Kinase A in advanced prostate cancer
Authors: Bou Zerdan Maroun , Asim Bilen Mehmet , Yu Jindan
Published: February 2025

Prostate cancer (PCa) progresses from an androgen-dependent state to a castration-resistant form (CRPC) following androgen deprivation therapy (ADT), driven by adaptations that restore androgen receptor (AR) signaling. A subset of CRPC tumors evolves into neuroendocrine prostate cancer (NEPC), marked by AR independence, neuroendocrine marker expression, and poor prognosis. NEPC development is associated with genetic and epigenetic alterations, including loss of tumor suppressors (TP53, RB1) and activation of lineage plasticity pathways. Aurora kinase A (AURKA), a serine/threonine kinase regulating mitosis, is frequently overexpressed in NEPC and CRPC, promoting tumor aggressiveness. Recent studies highlight CXCR7's role in driving enzalutamide-resistant CRPC by activating AURKA through β-arrestin recruitment. Targeting AURKA with inhibitors like alisertib shows potential but is hindered by toxicity and patient variability, emphasizing the need for biomarkers to stratify responders.
AURKA inhibition is synthetically lethal with RB1 or TP53 loss and may exploit vulnerabilities in tumors with homologous recombination defects, linking AURKA activity to resistance against DNA-damaging therapies, including PARP inhibitors, AR pathway inhibitors, and chemotherapy. Further investigation into AURKA alterations in CRPC/NEPC and their correlation with therapeutic outcomes may refine treatment strategies. Targeting AURKA holds promise for overcoming resistance and improving outcomes in aggressive, treatment-refractory PCa subtypes.
Psychiatric co-morbidities and substance abuse are dominant factors in Predicting Emergency Department usage rates
Authors: Lydia Mitchell , Emily Moseley , Ralph O’Neil , Lawrence M Lewis
Published: February 2025

Importance: 1% of the United States population accounts for 20% of healthcare costs. What characterizes heavy users of the Emergency Department (UED) both demographically and clinically is an area of active research.
Objective: Compare the proportion of nine common co-morbidities between heavy, moderate, and infrequent users then compare episodic and continuous heavy UED.
Setting: A large metropolitan healthcare system.
Participants: Heavy users were selected using a retrospective chart review of Barnes-Jewish Emergency Department records from 2010-2011. Emergency department usage for all unique patients seen in the time period specified was determined for two non-overlapping 365-day periods. Patients were stratified into 1 of 3 groups: Heavy users (> 10 visits for both periods), moderate users (5-9 visits for both periods), and infrequent users (1 visit in either the first or last period). There were 546 moderate users and 59,957 infrequent users matched 1:1 against 160 heavy users. These patients were matched for age, race, gender, and insurance. The 160 continuous heavy users were also compared to 388 patients who had > 10 visits in the first period, but not the second period, and 443 patients who had > 10 visits in the second period, but not the first. The proportion of subjects within each group was compared based on nine co-morbidities (substance abuse, mental illness, chronic pain, heart disease, lung disease, kidney disease, liver disease, cancer and stroke) using 95% confidence intervals.
Results: Infrequent users had lower rates of all co-morbidities. Moderate users had similar rates of all co-morbidities to heavy users, except slightly higher CVA rates (13.7% v 10.6%; p = 0.49), lower rates for mental illness (33.3% v 43.1%; p = 0.08) and significantly lower rates for substance abuse (17% v 35%; p < 0.001). Only substance abuse demonstrated a significant difference between episodic and continuous heavy UED (35% v 23.5%; p = 0.002).
Conclusion: Among nine common co-morbidities, only substance abuse rates were significantly higher among heavy users compared to matched moderate UED in our healthcare system. Infrequent users had lower rates of all co-morbidities. When comparing continuous and episodic heavy emergency department users, only substance abuse rates were significantly higher.
"I GREW UP ALONE, LIKE A HERB IN THE FIELD, AND GOD GAVE ME NEITHER HAPPINESS NOR FATE... WITHOUT A FATE, I LIKE A FLOWER IN THE FIELD...": REGARDING THE CONTAMINATIONS OF SHEVCHENKO'S POEMS IN EMBROIDERED EPIGRAPHY
Authors:   Maksym Rylsky Institute for Art Studies, Folkloristics and Ethnology of the National Academy of Sciences of Ukraine, Kyiv, Ukraine, Brovarets Tetiana
Published: February 2025

The article is devoted to the contaminations of folklorized Shevchenko's poetry in Ukrainian epigraphic embroidery. These are mainly rushnyks from the end of the 19th till the first half of the 20th century. The prototexts of inscriptions embroidered on them were lines from poetic texts that were actively used in oral folk culture. The source base of the research is the Interactive electronic index of folklore formulas (Epigraphic embroidery) (https://volkovicher.com/; the password: 2707), which was developed by the author in 2016 and has been continued to be supplemented with new materials to this day. According to the Index, where the verbal and visual formulas typical for embroidered epigraphy have been shown, it is easy to make sure that a lot of embroidered texts are actually folklorized lines from Taras Shevchenko's poetry. Moving to the web pages of specific rushnyks, you can also see that most of them were embroidered not according to the example of one poem, but according to the example of several poetic texts – as a rule, from two to four works. Being reproduced simultaneously on one textile object, these originally several separate texts have formed one complete text.
In this way, new folklore stories were born. An interesting issue that needs a deeper academic immersion is the specifics of the contaminations that occurred in the process of embroidering towels with inscriptions. In the proposed investigation, the author examines embroidered verbal contaminated works, one (or more) of the components of which is Kobzar's folklorized poetry. Three large groups of described samples of embroidered epigraphy have been singled out: 1) the embroidered verbal texts which are built on the contaminations of Shevchenko's poetry; 2) the embroidered verbal texts where folklorized Shevchenko's lines are combined with lines of other authors (or with those lines where the authorship is not established); 3) the embroidered verbal texts the basis of which are contaminations of several folklorized works of Shevchenko, as well as other typical formulas of epigraphic embroidery (a mixed type). In addition, the difference between the techniques of tautological and sequential contamination is indicated.
General and integral analysis of cardiac effects under acute hypoxia before and after intermittent hypoxic training in humans in Northern Russia
Authors: Bocharov Mikhail I. , Shilov Alexander S.
Published: February 2025

BACKGROUND: One of the specific and underexplored issues in human ecological physiology and medicine in the North is cardiac function during hypoxemia in the cold season. This formed the basis of the current study.
AIM: To examine the changes in the bioelectrical activity of the heart and the integral typology of responses to acute hypoxia before and after interval normobaric hypoxic training in healthy individuals during the winter season in Northern Russia.
MATERIALS AND METHODS: The study included 29 men (mean age 20.2±0.31 years) exposed to acute hypoxia (12.3% O2) for 20 minutes. Blood oxygenation (SpO2%) and three amplitude and temporal ECG parameters were recorded at baseline and on Days 1, 7, and 16 following intermittent normobaric hypoxic training. Integral values of the heart’s chronotropic and inotropic responses were determined.
RESULTS: At baseline, during acute hypoxia, P1II (р=0,005) and P-Q (р=0,006) increased, while RII, T1II, R-R, and Q-T (р 0,001) decreased. Following intermittent normobaric hypoxic training, the deviation in T1II during acute hypoxia reduced from Day 1 (p=0.030) to Day 16 (p 0.001), and P1II decreased by Day 16 (p=0.020). Deviations in T1II and Q-T correlated consistently with those in SpO2%. During episodes of acute hypoxia, mesoreactive responses were observed in 42.5–47.1% of cases, hyperreactive responses in 24.1–29.9%, and hyporeactive responses in 27.6–28.7%. Integral values of polar chronotropic and inotropic reactions to acute hypoxia increased significantly from Day 7 following intermittent normobaric hypoxic training compared to baseline.
CONCLUSION: Intermittent hypoxic training reduces alterations in the bioelectrical activity of the right atrium during acute hypoxia, and mitigates the suppression of ventricular myocardial activity during the rapid terminal repolarization phase. Ventricular systole becomes increasingly dependent on developing hypoxemia. While the quantitative proportions of polar chronotropic and inotropic responses remain unchanged, their integral mean values increase significantly.
Intestinal microbiota of indigenous peoples of the North: a systematic review
Authors: Sivtseva Tatyana M. , Stepanova Michiye A. , Zakharova Raisa N. , Semenov Sergey I. , Osakovsky Vladimir L.
Published: February 2025

BACKGROUND: The microbiota of the indigenous population of the North may play a pivotal role in the development of the polar (northern) type of metabolism supporting increased energy demands and maintaining body homeostasis in extreme cold climates. However, this area remains relatively understudied. Sequencing of bacterial 16S rRNA allows for establishing the full taxonomic composition of microbial communities, thereby facilitating novel insights into the interplay between microbiota, environmental conditions, and the formation of health in different populations.
AIM: The aim of this review is to evaluate the factors and principles of microbiota development in extreme climatic conditions and its potential impact on health in the indigenous peoples of the North.
MATERIALS AND METHODS: A systematic review was conducted based on the 2020 PRISMA guidelines. Original studies were searched for across the PubMed, eLibrary, and Google Scholar databases using Russian keywords “микробиота кишечника” (“intestinal microbiota”), “Север” (“North”), and English “gut microbiome,” “16S rRNA,” and “Arctic.”
RESULTS: Having filtered the results of the primary selection of articles in accordance with the search criteria, five publications were identified that presented the results of intestinal microbiota 16S rRNA studies in Canadian Inuit, Alaska Natives, and Yakuts of the Sakha Republic (Yakutia). The intestinal microbiota of native residents of the North differs is characterized by inter- and intra-population variability in the diversity and taxonomic composition. Despite similar climatic conditions and dietary patterns, microbiota composition of different Northern populations reflects differences in traditional activities, dietary habits, and surrounding animals.
CONCLUSION: Results of available studies are insufficient to form a comprehensive understanding of the northern microbiome and its role in maintaining the health of the indigenous peoples of the North. Nevertheless, the composition of the intestinal microbiota of the northern populations is shown to be diverse and favorable for the metabolic health; further studies are required to identify the mechanisms of the metabolic health formation in cold climate conditions.
Major temporal trends and age-related characteristics of obesity morbidity in Arkhangelsk region population
Authors: Shelygin Kirill V. , Strelkova Alexandra V. , Lozhkina Lada I. , Malyavskaya Svetlana I.
Published: February 2025

BACKGROUND: Obesity is a chronic disease that represents a significant risk factor of type 2 diabetes mellitus and cardiovascular diseases, as well as a primary contributor to disability. This condition affects individuals of all age groups, including children, which represents a particularly concerning trend. The incidence of obesity over multiple years has not been sufficiently studied in Russia. It is therefore pertinent to analyze the incidence of obesity over time in different age groups in order to identify the principal determining factors.
AIM: To evaluate the main dynamic and age-related characteristics of obesity morbidity in the Arkhangelsk Region.
MATERIALS AND METHODS: We conducted a retrospective, analytical, non-randomized study. The 1991–2022 changes in the primary obesity morbidity in the Arkhangelsk Region population was analyzed. The contribution of the incidence in different age groups to the total change in the primary morbidity and degree of chronification in the population was investigated. The extent of underreporting of obesity morbidity during the period of the pandemic was estimated. The study employed a variety of analytical techniques, including the use of standardized indicators, time series analysis, and index methods.
RESULTS: Our findings revealed a consistent increase in the primary morbidity of obesity over the 1991–2006 period, followed by a subsequent decline. The overall primary morbidity demonstrated a 506.4% increase. The changes in the primary obesity morbidity across the population are most closely aligned with those observed in the 0- to 14-year-old age group. The substantial fluctuations in the primary morbidity among the overall population are associated with those observed in the older age groups. Obesity is a chronic disease, and the proportion of individuals who are chronically obese is increasing. It is estimated that the primary morbidity of obesity was underreported by 16.8% during the period of the pandemic.
CONCLUSION: The analysis of the dynamic characteristics of the obesity morbidity allows for assuming its significant dependence on administrative factors, most notably on changes in diagnostic criteria. It is evident that there is an unmet need in the programs designed to report, treat, and prevent obesity, particularly in children, with the aim of reducing the cardiometabolic population burden and other risks. This is particularly pertinent in the context of the need to develop the Arctic zone of the Russian Federation and to protect health in the region.
Somatic characteristics of older women in Yakutsk
Authors: Alekseeva Viluya A. , Guryeva Alla B.
Published: February 2025

BACKGROUND: The study of anthropometric and bioimpedance parameters in women across different age groups is essential for increasing life expectancy and improving the quality of life of older women.
AIM: To determine the anthropometric and bioimpedance parameters of middle-aged and older women living in Yakutsk.
MATERIALS AND METHODS: Anthropometric and bioimpedance assessments were conducted in 82 women in Yakutsk, including 42 women in the second period of middle age and 40 older women engaged in wellness swimming. Bioimpedance analysis was performed using the ABC-01 Medass analyzer (Russia). Such biophysical parameters as active and reactive tissue resistance, phase angle, body composition (fat mass, skeletal muscle mass, lean mass, active cellular mass),hydration indicators (total body water, extracellular water, and intracellular water), and basal and specific metabolic rates were measured Statistical analysis was conducted using SPSS for Windows (version 22.0).
RESULTS: Older women exhibited significantly higher body weight, body mass index (BMI), and waist circumference compared to women in the second period of middle age. Additionally, women in Yakutia were found to have significantly smaller body dimensions (height, weight, and hip circumference) compared to women from the Saratov region and Krasnoyarsk Krai. Bioelectrical parameter analysis showed that older women had significantly lower active and reactive tissue resistance and phase angle values. They also demonstrated higher absolute and relative fat mass and absolute lean body mass. However, no statistically significant differences were observed in the absolute values of active cellular mass and skeletal muscle mass between the groups. Absolute values of total body water and intracellular water were significantly higher in older women than in middle-aged women.
CONCLUSION: This study identified significant differences in anthropometric and bioimpedance characteristics among women of different age groups. Age and ethnic factors should be considered when assessing women’s physical health and developing medical and social programs aimed at maintaining their well-being.
Strategi Pembelajaran Literasi untuk Meningkatkan Minat Baca Siswa Kelas V
Authors: Trismardiana Sofia Devi , Yuniawatika Yuniawatika
Published: February 2025

Pembelajaran literasi di SDN Bareng 2 Malang dilaksanakan setiap hari Kamis sebagai upaya untuk menumbuhkan budaya literasi di kalangan siswa. Kegiatan ini mencakup penggunaan setiap ruang kelas dan perpustakaan sekolah sebagai sarana utama untuk mengajarkan literasi. Literasi memiliki peran yang sangat penting, tidak hanya berkaitan dengan keterampilan membaca dan menulis, tetapi juga dengan pemahaman bacaan yang lebih mendalam. Kemampuan literasi memungkinkan siswa untuk memahami informasi secara kritis, analitis, dan reflektif, yang sangat diperlukan dalam kehidupan sehari-hari. Dalam konteks pembelajaran di sekolah dasar, literasi mendukung pencapaian tujuan pembelajaran mata pelajaran lain seperti berhitung, menulis, dan pemahaman bacaan. Penguasaan literasi di kelas dapat meningkatkan efektivitas belajar siswa, serta mengembangkan keterampilan berpikir kritis, kreatif, dan inovatif mereka. Oleh karena itu, kegiatan literasi yang terintegrasi dalam proses pembelajaran di sekolah dasar sangat berperan dalam mempersiapkan siswa untuk tantangan akademik dan kehidupan di masa depan.