bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart healthcare: Integration of AI and brain cells for advanced healthcare applications
Authors: Arshi Oroos , Chaudhary Aryan 
Published: May 2024

Abstract
The combination of brain cells and artificial intelligence (AI) is a paradigm shift in the healthcare industry that provides previously unheard-of chances for creativity and change in a variety of fields. This work is an attempt to offer a thorough examination of the confluence of AI and brain cells in healthcare, clarifying important ideas, methods, and applications that will influence medical practice and research going forward. Theis article provides an overview of AI in healthcare and looks at the wide variety of AI methods and algorithms advancing personalized medicine, therapy optimization, and disease diagnostics. It also touches upon how AI and brain cells interact, and how brain–computer interfaces (BCIs) can transform neuroscience research and human–machine interaction. It also highlights the revolutionary influence of brain cells and AI on healthcare delivery and patient care by outlining the application domains of the BCI across research fields and talking about the integration of reinforcement learning with the BCIs. It also showcases the practical applications of brain cells and AI in healthcare, ranging from prognostication and diagnostics to prosthetics and rehabilitation. This work suggests new trends and research and development opportunities in the field of brain cells and AI integration, as well as future directions in this field.
Activated carbon-mediated adsorption of emerging contaminants
Authors: Hiranmai Rameshwar Yadav , Neeraj Ajay 
Published: May 2024

Abstract
Emerging contaminants are the outcome of the widespread usage of manufacturing advancements facilitating human life. These are found in various solid and liquid wastes discharged into nature. Sewage treatment plants across the globe receive a maximum quantity of various emerging contaminants from diverse sources. These contaminants reach soil, surface, and groundwater, affecting their quality. They also enter into the food web through different levels. This article thoroughly discusses the adverse effects of emerging contaminants and possible methods of remediation using activated carbon prepared from different materials. The review highlights the utilization of activated carbon for pharmaceutical and personal care products, pesticides, and a specific observation of caffeine removal. An in-depth online search for research and review articles gave an overview of technologies used and their reports with reference to the applicability of activated carbon as an adsorbent for emerging contaminants. Adsorption is considered to be one of the green methodologies for reducing contamination and making the resultant water of reusable quality. Biowaste materials are used for the preparation of activated carbon by chemical or physical modifications. These adsorbents can be used for removing emerging contaminants from wastewater/contaminated water. Many advantages of this method make it suitable for the treatment of effluent generated from various sources. The activated carbon quality, surface area for adsorption, and kinetics are of significance to ensure the quality and efficiency of the adsorbent.
Declaraciones de la Conferencia Episcopal de Chile durante el gobierno de Salvador Allende: tensiones con Cristianos por el Socialismo
Authors: Bustamante Olguín Fabián , Cerda Sanhueza Alejandro 
Published: May 2024

This article aims to examine the views of the Chilean Catholic Church during the administration of President Salvador Allende. The main themes that arise from the declarations of the bishops will be addressed and the ethical-theological implications of the relationship between religion and politics in the current context will be analyzed. The central axis of the article is to analyze the vision of the bishops towards the Marxist/socialist ideology from the historical and theological analysis of the government of Salvador Allende and the configuration of Christians for Socialism. The bishops’ statements show a critical position towards the Marxist/socialist ideology, seen as synonymous in a discursive strategy of the church hierarchy to disqualify the government and the left-leaning of Catholics. The article is based on a classic analysis of texts, which uses internal and external analysis of episcopal documents between 1970 and 1974, together with a bibliographical review on the historical period.
Short-range nanoregions and nanosized defects in LiFeO$$_2$$ compound deduced from Mössbauer spectroscopy and Rietveld analysis
Authors: Panagopoulos V. , Devlin E. , Sanakis Y. , Psycharis V. , Pissas M. 
Published: May 2024

AbstractWe examined the crystal and magnetic properties of the polymorphic LiFeO$$_2$$

2

compound using Mössbauer spectra (MS), X-ray diffraction data (XRD), and magnetic measurements. X-ray diffraction analysis of $$\alpha$$
α
-LiFeO$$_2$$

2

and $$\beta '$$

β
′

-LiFeO$$_2$$

2

phases reveals that short-range ordering observed in the $$\alpha$$
α
-LiFeO$$_2$$

2

phase is potentially linked to the $$\beta '$$

β
′

-LiFeO$$_2$$

2

phase nanoregions. Low-temperature MS of the $$\alpha$$
α
-LiFeO$$_2$$

2

phase reveal a complicated disordered magnetic state below 90 K. Rietveld analysis of the XRD data of the $$\gamma$$
γ
-LiFeO$$_2$$

2

phase reveals a defect microstructure. These defects produce a complicated distribution of the hyperfine magnetic field estimated from MS. While it is not possible to produce the $$\beta '$$

β
′

-LiFeO$$_2$$

2

phase in pure form, extended annealing of the $$\alpha$$
α
-LiFeO$$_2$$

2

phase at 400 $$^\circ$$

∘

C yields a nanocomposite material comprising nanoregions of both $$\beta '$$

β
′

-LiFeO$$_2$$

2

and $$\gamma$$
γ
-LiFeO$$_2$$

2

phases.
Graphical abstract
Construction of a recurrent neural network-based electrical load forecasting model for a 110 kV substation: a case study in the Western Region of The Republic of Kazakhstan
Authors: Kenessov Yerlan , Tokhtibakiev Karmel , Saukhimov Almaz , Vassilyev Daniil , Gunin Alexandr , Iliyasov Azamat 
Published: May 2024

This paper presents an approach for using a long short-term memory (LSTM)-based recurrent neural network with various configurations to construct a forecasting model for electrical load prediction of a 110 kV substation.
The issues of unbalances arising in energy management systems due to discrepancies between generated and consumed energy can lead to power outages and blackouts. With the introduction of the most accurate forecasts, the task of maintaining electrical reliability for grid operators can be greatly simplified.
Through an investigation into 81 different parameter combinations, the research revealed the optimal setup for an LSTM model in the task of electrical load forecasting. This configuration comprised 15 neurons, a batch size of 16, and employed the Adamax optimization algorithm. Applying this specific setup yielded a mean squared error (MSE) of 5.584 MW2 and an R2 value of 0.99. High R2 values and low MSE values indicate that the LSTM model accurately captures changes in electricity consumption with minimal deviation between predicted and actual consumption values. Selection of appropriate parameters significantly enhances the performance of the predictive model and resulted in a reduction of the MSE error from 12.706 to 5.584 MW2. The optimized configuration of the LSTM model, tailored through extensive experimentation, enhances its predictive capabilities.
The proposed LSTM model holds practical utility for integrating into systems for monitoring and forecasting mode reliability of electrical networks, particularly in the Western energy hub of the Republic of Kazakhstan. Its accuracy and reliability make it valuable for energy resource management and infrastructure planning
Devising a method for improving pedestrian traffic safety when crossing railroad tracks by implementing an information system with a fixed warning time
Authors: Kovalchuk Vitalii , Lesiv Yulia 
Published: May 2024

The object of research is pedestrian safety when crossing railroad tracks at pedestrian crossings. A method for improving the safety of pedestrian traffic when crossing railroad tracks within the area approaching the railroad pedestrian crossing has been developed, by introducing an information system for warning pedestrians about train movement with a fixed warning time.
Experimental measurements of the speed of the rolling stock were carried out in the area approaching the pedestrian crossing over the railroad track. With the mixed movement of trains, it was found that the lowest speed of the train was 67.46 km/h, and the highest was the passenger train – 131.9 km/h. At the same time, the speed of freight trains ranged from 74 to 79 km/h. Such data are needed to determine the speed of the rolling stock on the approach to the crossing or transition, which will allow the light and sound signal to be turned on in time when the movement of a pedestrian across the track will be dangerous.
The methodology for calculating the length of the approach section to the pedestrian crossing, depending on the speed of the rolling stock, has been given. It was established that the speed of the rolling stock has a significant effect on the length of the approach section. At the lowest measured speed of the train – 67.46 km/h, the length of the approach section was 317.46 m, and when the passenger train was moving at a speed of 131.9 km/h – 620.68 m.
For a single-track section of the railroad, a fixed time has been established for warning pedestrians about the approach of a train to the crossing. It is a constant value that is included in the warning information system on a single-track section, and after it, a complex light and sound alarm with an information board is activated, which will warn the pedestrian about the movement of the train. The method for improving the safety of pedestrian traffic with a fixed time of the pedestrian’s anticipation of the train movement could be used at crossings with pedestrian traffic, as a supplement to the crossing signaling subsystem in railroad transport. It can also be used at equipped pedestrian crossings over railroad tracks in urbanized areas. The advantage of introducing such a method is a fixed time to warn the pedestrian, in each specific case of the train approaching the crossing
Development of a solution search method using artificial intelligence
Authors: Mahdi Qasim Abbood , Shyshatskyi Andrii , Babenko Vitalina , Bieliakov Robert , Odarushchenko Elena , Protas Nadiia , Stasiuk Tetiana , Rukavyshnikov Yurii , Miziak Ivan , Lantrat Oleh 
Published: May 2024

The object of the study is decision support systems.
The problem of increasing decision-making efficiency in conditions of uncertainty and a set of different parameters was solved using a bio-inspired algorithm.
The subject of the study is the decision-making process in management problems using the heron flock algorithm, the improved genetic algorithm and evolving artificial neural networks.
A solution search method using the improved heron flock algorithm is proposed. The study is based on the heron flock algorithm to find a solution regarding the object state. Evolving artificial neural networks are used to train the heron flock algorithm, and an advanced genetic algorithm is used to select the best individuals of the heron flock. The method has the following sequence of actions:
– input of initial data;
– setting agents on the search plane;
– numbering heron agents in the flock;
– setting the initial velocity of heron agents;
– waiting strategy for heron agents;
– aggressive strategy;
– checking the discriminatory condition;
– selection of the best individuals from the heron flock;
– ranking and sorting the obtained solutions;
– training heron knowledge bases;
– determining the amount of necessary computing resources of the intelligent decision support system.
The originality of the proposed method consists in setting heron agents taking into account the uncertainty of the initial data, the noise degree of data about the analysis object state. The method makes it possible to reduce the time for decision-making at the level of 22–26 % due to the use of additional improved procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interest of solving national security problems
Evaluation of quality characteristics of fermented acidophilic product with B. Bifidum and Prunus padus extract
Authors: Utebaeva Aidana , Gabrilyants Eleonora , Abish Zhansaya , Yevlash Viktoriia 
Published: May 2024

Functional foods containing probiotics and/or prebiotics are of scientific and practical importance. The method of pre-activating bifidobacteria before their use in the production of fermented milk products has a profound impact on enhancing the quality of the resulting products. Finding ways to shorten the activation time of bifidobacteria in the production of functional foods with probiotics is an urgent task.
Shortening the activation time and optimizing enzyme systems of bifidobacteria with antioxidants are crucial for innovative probiotic fermented milk technology. The object of this research is the technology of fermented acidophilic products enriched with bifidobacteria activated using Prunus padus (bird cherry) extract, known for its antioxidant properties. The finished product showed a significant increase in bifidobacteria count, reaching 1×109 CFU, and a 25.7 % boost in L. acidophilus after 7 days.
Furthermore, the activation of bifidobacteria by Prunus padus extract resulted in a threefold increase in the histidine content and increased the content of oleic, eicosanoic, linoleic, arachidonic, and docosahexaenoic acids by 10.0 %, 26.4 %, 14.4 %, 22.6 %, and 66.6 % in the experimental sample compared to the control sample, respectively. Moreover, pentadecanoic, selacholeic, eicosatrienoic acids and tyrosine were present in the experimental but not in the control sample. Microbiological safety tests found no pathogenic microorganisms in the fermented acidophilic product, yet lactic acid microorganism levels exceeded norms in the experimental sample, confirming the product's probiotic properties and high physiological value. Thus, the developed product is characterized by better taste, a longer shelf life, and the preservation of bacterial titers
Determining the mechanism for calculating the tension of a working conveyor belt during a change in the transportation length
Authors: Gavryukov Alexandr , Kolesnikov Mykhailo , Zapryvoda Andrii , Lutsenko Vadym , Bondarchuk Olga 
Published: May 2024

This paper examines the working process of a belt conveyor with a working drive that can change the length of transportation. The conveyor can be used for tunneling, development of minerals in mines and quarries, transportation of materials in warehouses. The use of such a conveyor makes it possible to reduce the time for operations to increase or decrease the length of transportation, to exclude reloaders between the working equipment and conveyor itself from the transport chain.
It was established that when changing the length of transportation of a working conveyor, the static and dynamic load on the belt increases. The change in the static load of the belt on the drum of the mobile station depends on the speed of the mobile station and the speed of the beltgenerated by the conveyor drive. The dynamic loading on the belt depends on the acceleration of the belt, which is related to the acceleration of the mobile station during the change in the length of the conveyor.
For a working conveyor that changes the length of transportation, the static tension of the belt on the drum of the mobile station can increase by 1.1–1.4 times from the initial one. The dynamic loading of the belt can have a significant increase if the acceleration of the mobile station is not stretched over time and acquires large values.
Based on the dependencesderived in the current work, a calculation procedure is proposed for the design of a belt conveyor with a working drive that can change the length of transportation.
The Mathcad software was applied to verify the designcalculation procedure.
The results make it possible to employ new design methods in the construction of competitive machines equipped with a belt conveyor with a variable length of transportation
Development of conditions for obtaining oil from sunflower oil hydration waste
Authors: Saveliev Dmytro , Rotar Vasyl , Kravtsov Mikhail , Petrova Olena , Ziuzko Alla , Shevchuk Natalia , Velma Svitlana , Rozumenko Anzhela , Demenko Viktor , Samchenko Taras 
Published: May 2024

The object of the study is the process of treatment of sunflower phosphatide concentrate using sodium chloride solution.
Hydration is a stage of oil refining. The waste of the process is a phosphatide concentrate, the disposal of which is dangerous to the environment. The concentrate contains valuable components – oil and phosphatides. An important task is to separate these components for effective use in various industries.
The process of extracting oil from phosphatide concentrate by hydration in the presence of sodium chloride solution was investigated. The influence of the concentrate treatment conditions on the oil yield was determined.
A sample of concentrate according to SOU 15.4-37-212:2004 (CAS 3436-44-0) was used: mass fraction of moisture and volatile substances – 2.8 %, mass fraction of phosphatides – 41.5 %. The concentrate was treated with sodium chloride solution with a concentration of (5–20) %. The hydration time was 25 min., the temperature was 45 °C, and the mass ratio of the sodium chloride solution to the concentrate was 1:1.
Conditions for the concentrate treatment were determined: the concentration of sodium chloride solution was 15 %, settling time was 5 hours. At the same time, the yield of oil was 86.9 %.
The parameters of the extracted oil were determined: acid value 2.8 mg KOH/g, peroxide value 3.2 ½ O mmol/kg, mass fraction of moisture and volatile substances 0.12 %. According to these indicators, the extracted oil corresponds to first-grade unrefined unfrozen sunflower oil according to DSTU 4492. The mass fraction of phosphorus-containing substances in terms of stearooleolecithin was 1.7 %, which slightly exceeds the standard value.
The research results make it possible to process hydration waste and obtain oil, which is a raw material for the products of many industries. This will help solve the problem of disposal of environmentally hazardous waste and improve the state of the environment
Improving the systems for controlling ground-based sun orientation devices
Authors: Ivanytsky Valentyn , Meshko Roman , Chychura Igor , Rjaboschuk Myhajlo , Tiutiunnykov Serhii 
Published: May 2024

The control system for terrestrial two-axis devices for orientation to the Sun has been improved with a high-speed microcontroller operation algorithm. A geomagnetic sensor was introduced into the system to increase the reliability of monitoring the positioning of solar cells. The basis of the algorithm is a simplified astronomical and geographical model of the movement of the Sun in the celestial sphere. The control system automatically tracks the trajectory of the Sun and calculates its angular coordinates for the current moment of time on any day of the year and for any point on the globe. The derived equations of the simplified mathematical model are suitable for calculations of orientation angles to the Sun in real time on 8-bit microcontrollers with low computing power. The control system by AVR-328 microcontrollers was studied. It was established that the use of the algorithm when programming microcontrollers for two-axis orientation systems ensures high stability and reliability of the tracker`s functioning process. The technical parameters of the AVR-328 microcontrollers in the case of using the developed algorithm ensure that the control system performs one reorientation step in a time interval of less than 2 seconds, which ensures the minimum technical period of the reorientation process by the tracker drive mechanisms which is about 5 seconds. Deviations of the calculated orientation angle from the exact value do not exceed 3°, which corresponds to the relative accuracy of recording the solar radiation intensity, which is less than 0.3 %. The microcontroller program written according to the developed simplified algorithm occupies about 35 % of its memory. Therefore, the use of the developed algorithm frees up the resources of AVR-328 microcontrollers for performing additional data processing operations and automatic control over various additional devices related to the process of orientation to the Sun. In the case of solar energy, the algorithm ensures the use of about 98 % of the power of solar radiation
Evaluation of the operational curve for heat storage technology using n-octacosane/low-density as a binding material
Authors: Rahman Reza Abdu , Sulistyo Sulistyo , Utomo Mohamad Said Kartono Tony Suryo , Putra Robertus Dhimas Dhewangga 
Published: May 2024

Heat storage technology has a critical role for a number of applications involving renewable thermal energy (such as solar water heater). The application of wax (n-octacosane/OCT) as a medium for storing heat brings many positive influences for the system. However, the operational curve is undesirable for the OCT-based energy storage, which makes it necessary to use a binding material. The present work employed LD-class polymer (LDPE) and linear-LDPE as binding materials for OCT. The mixture is prepared through mechanical hot stirring, which comes into two categories: SOCT1 (OCT/LD) and SOCT2 (OCT/LLD). The assessment through the calorimetry method shows an increment in transition temperature for SOCT with a value of 2.1 °C and 5.5 °C. This contributes to the variation of fusion energy for solid-liquid change for both materials, which amounted to 132.05 J/g (SOCT1) and 113.4 J/g (SOCT2). Another assessment related to its chemical and structural phase demonstrates that SOCT has an identical structure to OCT, indicating that SOCT is mixed physically. At the operational level, SOCT is more optimal than OCT according to the indicator related to charge and discharge duration for energy exchange. SOCT1 demonstrates a short plateau line as the indication of a steady transition between 65.4–67.9 °C, while SOCT2 indicates the average heating rate, which is higher than for single OCT. The heat releasing curve for SOCT1 varies at a lower value between 1.92 °C/min and 0.77 °C/min, while SOCT2 has the lowest variation, which is only 0.17 °C/min. Moreover, the self-insulation for SOCT2 has the lowest rate, which is only 0.3 °C/min. The evaluation and analysis from this work show that SOCT is reliable to increase the operational curve of OCT and can be implemented for thermal systems
Proboszczowie parafii św. Joachima w Krzyżanowicach od końca XVIII do początku XXI wieku. Zarys problematyki
Authors: Śmiałek Sebastian 
Published: May 2024

Artykuł przedstawia sylwetki duchownych, którzy pełnili funkcję proboszczów w parafii św. Joachima w Krzyżanowicach, począwszy od przeniesienia kościoła z Bochni do Krzyżanowic (koniec XVIII wieku) do lat 20. XXI wieku. W tym okresie parafią kierowało 17 proboszczów i 8 administratorów, przyczyniając się do jej rozwoju.