Multifactor Process Research Articles

GEOMETRIC MODELING OF ADAPTIVE ALGEBRAIC CURVES PASSING THROUGH PREDETERMINED POINTS

In this paper, the geometric theory of multidimensional interpolation was further developed in terms of modeling and using adaptive curves passing through predetermined points. A feature of the proposed approach to modeling curved lines is the ability to adapt to any initial data for high-quality interpolation, which excludes unplanned oscillations, due to the uneven distribution of parameter values, the source of which are the initial data. This is the improvement of the previously proposed method for constructing and analytically describing arcs of algebraic curves passing through predetermined points, obtained on the basis of Bezier curves, which are compiled taking into account the expansion coefficients of the Newton binomial. The paper gives an example of using adaptive algebraic curves passing through predetermined points for geometric modeling of the stress-strain state of membrane coatings cylindrical shells using two-dimensional interpolation. The given example an illustrative showed the advantages of the proposed adaptation of algebraic curves passing through predetermined points and obtained on the basis of Bezier curves for geometric modeling of multifactor processes and phenomena. The use of such adaptation allows not only to avoid unplanned oscillations, but also self-intersection of geometric objects when generalized to a multidimensional space. Adaptive algebraic curves can also be effectively used as formative elements for constructing geometric objects of multidimensional space, both as guide lines and as generatrix’s.

Development and scientific justification a set of the high-speed road construction machines with hardware-percent integration and intellectual interactions algorithm of various technical systems

The description of complex technical systems with the implementation of hardware and software integration through the introduction of additional controls is presented. Recommendations for increasing the service life of the road surface and preventing premature repair of asphalt concrete surfaces are presented. A review of possible difficulties in implementing new technologies in road construction companies is performed. The project of modernization of new equipment is described, considering the research conducted in the field of finding alternative solutions to eliminate the “human” factor during road construction works. The interaction of the components of the complex for high-speed construction of asphalt concrete pavements is considered. The work of machines is described from the energy point of view, which is based on various interaction processes. The main components of the system structure and principles are considered. Multi-factor processes of road construction equipment operation are explained. The structure of algorithms for implementing an integrated machine management system is presented. The structure of hardware interaction through mathematical modeling to direct control of machine functionality in real time is described. Asphalt paving is represented by a multi-factor process, where one of the significant factors of the quality of the laid asphalt concrete is the road construction equipment used, which provides the required quality parameters of the road surface. The article describes a method for creating complex structural elements that allow creating artificial intelligence systems in the future.

Phloem-Feeding Herbivores Affect Floral Development and Reproduction in the Etruscan Honeysuckle (Lonicera etrusca Santi).

Floral development depends on multifactor processes related to genetic, physiological, and ecological pathways. Plants respond to herbivores by activating mechanisms aimed at tolerating, compensating, or avoiding loss of biomass and nutrients, and thereby survive in a complex landscape of interactions. Thus, plants need to overcome trade-offs between development, growth, and reproduction vs. the initiation of anti-herbivore defences. This study aims to assess the frequency of phloem-feeding herbivores in wild populations of the Etruscan honeysuckle (Lonicera etrusca Santi) and study their effects on floral development and reproduction. The incidence of herbivory by the honeysuckle aphid (Hyadaphis passerinii del Guercio) was assessed in three wild populations of the Iberian Peninsula. The effect of herbivory on floral morphology, micromorphology of stigmas and pollen, floral rewards, pollination, and fruit and seed set were studied. The herbivory by aphids reduces the size of flowers and pollen. Additionally, it stops nectar synthesis and causes malformation in pollen and microstructures of stigmas, affecting pollination. As a consequence, fruit set and seed weight are reduced. This work provides evidence of the changes induced by phloem-feeding herbivores in floral development and functioning that affect the ecological processes necessary to maintain the reproductive success of plants.

Evaluasi Penentuan Kelayakan Pemberian Subsidi Listrik dengan Metode MFEP

The electricity subsidy program is a poverty control program that provides electricity subsidies to poor and underprivileged households that are paid by the Government of Indonesia to PT. PLN. The purpose of providing subsidies is to achieve a power supply and help poor customers and those who have not been contacted by PT. PLN so that they can enjoy electrical energy. At PT. Haleyora Power to determine the recipients of electricity subsidies there are still many mistakes such as not being on target, these subsidies are even obtained by people who are able to this incident not only in one period but often, because in the Decision Making System determining the eligibility of electricity subsidy recipients still uses a manual process and the database used is still in paper form in the form of files and there are no specific characteristics to be considered. This research aims to produce a system that can be used as a tool and makes it easier to determine the eligibility of electricity subsidy recipients. The method used in this research is the Multifactor Evaluation Process (MFEP) method. With the existence of a decision support system for determining eligibility assistance for electricity subsidies, the eligibility criteria will become clearer. The results of the ranking of 20 potential electricity subsidy recipients whose data are processed and produce a total calculation or accuracy of 100% using the Multifactor Evaluation Process (MFEP) method based on data on electricity subsidy recipients at PT. Haleyora Power. So that this research can be a reference in making the right decisions on providing electricity subsidies at PT. Haleyora Power.

Multi-Omics Correlations Reveal Lipid Species Involved in Lung Allograft Adaptation

Purpose Allograft adaptation after lung transplantation is a multi-factor process. We hypothesized that early adaptation can influence the risk of matrix remodeling and CLAD development by shaping the inflammatory state of the lung environment. In a longitudinal study, we followed a defined patient cohort in year 1 p.t. and detected ordered cell composition changes with repercussions in the microbiome, small molecular composition and lipidome in BAL samples. We delimited clusters of pro-inflammatory factors and identified long-chain lipid species from the lung environment that modulated inflammatory response in vitro. Methods We used FACS to identify cell populations and 16S sequencing, metabolomics, lipidomics to characterize the lung environment. With correlations and hierarchical clustering we extracted pro- and anti-inflammatory clusters around well-characterized cell populations. For detection of inflammation drivers, we quantified feature differential abundances in samples with more or less neutrophilia. Predicted candidates were tested to modify inflammatory responses in vitro by screening IL-6 production of LPS-triggered macrophages. Results Early after surgery, the allograft experienced neutrophilia, a lack of resident macrophages and a gradual influx of host-derived macrophage-precursors directly resonating with changes in the pulmonary microenvironment. The computational analysis revealed features that clustered either with neutrophils or alveolar macrophages. From these, 30% showed significant abundance differences in high and low neutrophilia conditions. Consistently, certain ceramide species displayed antagonistic behavior to several phosphatidylcholines. We tested their capability of modifying macrophage response and found the ceramide to enhance, and PCs to reduce IL-6 production. Conclusion Our study suggests that the lung microenvironment plays a key role in allograft adaptation and specific lipid species are capable of modulating cellular inflammatory response in a differentiated manner early after transplantation. Our results provide first fundamental concepts for developing concrete precision therapies based on reprogramming tissue homoeostasis and inflammation management.

Comparison of tumor microenvironment in primary and paired metastatic ER+/HER2- breast cancers: results of a pilot study

BackgroundTumor microenvironment (TME) is a dynamic setting and changes in TILs and their subpopulations are potential candidates to influence the metastatic process. Aim of this pilot study is to describe the changes occurring between primary breast cancers and their paired metastases in terms of TILs composition. To assess if these changes influence the process of metastasis development, we used a control group of patients.MethodsWe retrospectively identified 18 Luminal patients, for whom primary and metastatic tissue were available (cases) and 18 paired-matched patients (controls), not relapsed after at least 9 years of follow-up, and we quantified TILs and their composition (i.e. T CD8+ and CD4+/FOXP3+). The presence of TILs was defined as ≥10%.ResultsOur results showed that the microenvironment composition of relapsed patients was poor of TILs (median = 5%, I-III quartiles = 0.6–5%), CD8+ (2.5%, 0–5%) and CD4+/FOXP3 + (0%, 0–0.6%) in the primary tumor. Comparable results were observed in their related metastases (TILs 3.8%, 0.6–5%; CD8+ 0%, 0–1.3%; CD4+/FOXP3+ 0%,0–1.9%). On the contrary, the microenvironment in the control group was richer of TILs (5%, 5–17.5%) in comparison to cases, both in primary tumor (p = 0.035) and related metastases (p = 0.018). Although CD8+ in controls were similar to cases at primary tumor (p = 0.6498), but not at metastasis (p = 0.0223), they expressed only one part on the TILs subpopulations (p = 0.0060), while TILs in the cases at primary tumor were almost completely CD8+ (p = 0.5034).ConclusionsThese findings suggest that the lack of activation of immune system in the primary tumor might influence the multifactor process of cancer progression.

Chemical Modification of Phase Change Memory Materials Based on Complex Chalcogenides

Chemical modification of amorphous thin films of phase change memory materials for optimizing the functional characteristics of these materials were considered by the example of the chalcogenide compound Ge2Sb2Te5. The doping elements were bismuth and tin. The films were produced by vacuum thermal deposition and magnetron sputtering with subsequent ion implantation of a dopant. Integrated studies of the modified thin films, which includes structural, optical, electrical, and thermal measurements, determined that the optimization of the functional properties of the materials for phase change memory devices is a multifactor process based on the identification of the basic correlations “composition–short-range order structure–property.”

Single-Molecule Dynamics of eIF4F-Mediated mRNA Recognition

Recognition of the mRNA 5’ cap is by the heterotrimeric eIF4F complex is a critical step in eukaryotic translation initiation. As the final point of regulation prior to protein synthesis, regulation of steps of initiation is critical for maintaining cellular homeostasis. Despite efforts to characterize steps of translation initiation in real time, a detailed understanding of how cap recognition may vary between transcripts, and the contributions of individual initiation factors, is lacking due to an absence of appropriate methods. We recently developed a single molecule assay for examining this process on yeast mRNAs. Using single-molecule FRET, we in vitro reconstituted cap recognition by the mRNA cap binding protein eIF4E, characterizing this process in real-time. We apply this method to individual transcripts as well as heterogeneous pools of mRNA extracted from S.cerevisiae, characterizing the extent at which cap recognition by the cap binding subunit eIF4E varies throughout populations in the transcriptome. Additionally, we looked at the contributions of other eIF4F subunits and ATP to the rate of formation and stability of the eIF4E-cap complex, characterizing the kinetics of cap recognition. Our results suggest that mRNAs are inherently recognized at different rates by eIF4F, which can contribute to the wide range of translational efficiencies observed in vivo. Specifically, our findings highlight how factor composition and variations in mRNA features could tune the dynamics of protein synthesis by altering the rates of events during early initiation. Our work lays a foundation for isolating and studying the early steps of eukaryotic translation initiation, which is a multi-step, multi-factor process difficult to dissect in vivo due to its complexity.

Model for predicting the food basket depending on the availability of agricultural land

The modern world has accumulated a large number of problems, one of which is global and regional food security. Technically, food security is linked to the production and processing of agricultural raw materials. One of the ways to ensure regional food security is to establish a link between agricultural production and the availability of agricultural land in the region per capita. In this paper, we consider a method for modeling the internal production of agricultural products in the region, depending on the availability of agricultural land, and also solve the inverse problem. Agricultural production is a multi-factor process with inaccurate and incomplete information about its implementation. A fuzzy logic system with appropriate software is widely used to solve this type of problem. This paper uses the MATLAB environment.

ВАРИАТИВНЫЕ ГЕОМЕТРИЧЕСКИЕ АЛГОРИТМЫ МОДЕЛИРОВАНИЯ МНОГОФАКТОРНЫХ ПРОЦЕССОВ

The work is investigated by the influence of variable geometric algorithms in modeling multifactor processes using multidimensional interpolation. Geometric models of multifactorial processes obtained using multidimensional interpolation inherent variability, which is a consequence of the multiplicity of the choice of reference lines during the development of geometric modeling schemes. At the same time, all possible variations of geometric interpolyns are fully satisfying the initial data. It has been established that the number of variations of geometric schemes directly depends on the number of current parameters and the dimension of the space in which the simulated geometrical object is located. Thus, a variable approach to geometrical modeling of multifactor processes generates a number of scientific tasks, the main one is the need to determine the effect of the variability of geometric algorithms on the final results of the computational experiment and, as a result, the choice of the best modeling results. To this end, the article presents the studies of variable geometric algorithms and computational experiments on the example of 2-parametric geometric interpolyns. A classification of 2-parametric geometric interpolytesses, which were conditionally divided into 3 types. Depending on the geometric scheme of constructing interpolynta, the square geometric scheme, a rectangular geometric scheme, a mixed geometric scheme. As a result of computational experiments, it was found that for a square geometric scheme, the variability does not affect the final results, in rectangular geometric schemes, the variability has a slight influence, and mixed geometric schemes may have significant differences and require additional research to select the highest quality geometric process model. Comparison of geometric models were performed by the methods of scientific visualization by overlaying the response surfaces on each other.

The mathematical modeling aspects of multi-factor operations and complex technological processes of machine and equipment parts processing

The mathematical modeling aspects of multi-factor operations and complex technological processes of machine and equipment parts processing

Дефицит витамина D – пандемия XXI века. Проблемы стандартизации диагностики дефицита витамина D

Vitamin D deficiency is a noninfectious pandemic of the 21st century. Vitamin D, apart from its role in phosphorus-calcium metabolism, is vital for functioning of all organs and systems, and its deficiency is a risk factor of developing aging-associated extraskeletal diseases. Vitamin D deficiency is a multifactor process related to a decreased synthesis of endogenous cholecalcipherol, insufficient intake of exogenous vitamin D and its disordered metabolism. Improvement of the effectiveness of therapeutic and preventive measures for management of vitamin D deficiency is impossible without accurate laboratory diagnosis. Immunochemical methods (radioactive, enzymatic and chemiluminescent) overestimate the 25(ОН)D levels, a benchmark test for vitamin D status assessment is a high performance liquid chromatography tandem–mass spectrometry. In order to reduce the risk of socially significant diseases the adequate 25(ОН)D levels should be not less than 40 ng/mL (100 nmol/L). Key words: vitamin D, vitamin D deficiency, liquid chromatography tandem–mass spectrometry

Modeling Geometric Varieties with Given Differential Characteristics and Its Application

The article describes an approach to modeling geometric manifolds with specified differential properties, which is based on the use of geometric interpolants of a multidimensional space. A geometric interpolant is understood as a geometric object of a multidimensional space passing through predetermined points in advance, the coordinates of which correspond to the initial experimental and statistical information. Principles for determining geometric interpolants and an example of an analytical description of a 3-parameter geometric interpolant belonging to a 4-dimensional space in the form of a geometric scheme and a computational algorithm based on a sequence of point equations are given. The main direction of practical use of geometric interpolants is geometric modeling of multifactor processes and phenomena, but they can also be an effective tool for multivariate approximation. Based on this, the article presents a general approach to modeling geometric manifolds with given differential properties and its application in the form of a numerical solution of differential equations by approximating it using geometric interpolants of a multidimensional space. To implement an approach to modeling geometric manifolds with specified differential properties, it is proposed to use a computational algorithm consisting of 10 points. The advantages of using geometric interpolants for the numerical solution of differential equations are highlighted.

Accuracy in Identifying Talent for Advanced Students Using the Multifactor Evaluation Process (MFEP) Method

Talent is a natural ability to acquire knowledge and skills, both general and specific. Basically, each individual has different talents. moreover supported by the appropriate talents, will bring passion and give pleasure in learning or living it. Providing an overview to students of who they are through their talents and interests so that what job opportunities they can initiate after graduating from school are qualitative data related to the research focus, namely the process of identifying student talents in the Educator Room of SMAN 1 Linggo Sari Baganti . There are at least nine intelligences or talents that a person may possess, namely logical mathematical, linguistic / verbal, visual spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, natural, and moral / spiritual. Sources of data in the study were obtained from primary data, namely data obtained directly from data sources, namely the people involved in the process of identifying talents in the Educator Room of SMAN 1 Linggo Sari Baganti. In addition, the data source in this study is in the form of secondary sources, for example in the form of documents related to curriculum implementation. Furthermore, the data is processed using the Multifactor Evaluation Process (MFEP) method. MFEP is a quantitative method that uses a 'weighting system' and this study uses the VB.NET 2017 language program and MySQL. The processing stages are determining criteria, calculations and processes so as to produce decisions. The sum above results, there are 10 students whose data is processed and produces a total calculation or accuracy of 86.51%. So that this research can be a reference in making the right decision at SMAN 1 Linggo Sari Baganti School.

METHOD OF PROCESSING EMPIRICAL DATA IN THE STUDY OF THE INFLUENCE OF TECHNOLOGICAL PARAMETERS ON THE SUPPLY OF TOOLS FOR THE FINAL PROCESSING OF STEEL AND CAST IRON WORKPIECES

When implementing a multi-variant design of the machining process, one of the important tasks is to select rational technological parameters at the final transitions of the shaping process that ensure the specified surface quality on the finished part made of the appropriate material. When modeling most of the design procedures at all stages of machining, there are problems associated with algorithmization of the solution method, adequate choice of the regression equation and the range of acceptable solutions at the specified processing stages. In this paper, as an algorithm for solving the problem, we propose the use of a wellknown method of rational planning of the experiment, which allows us to obtain a mathematical model of the multi-factor process under study. In the process of implementing this algorithm, based on a priori information, the object of research was selected, its factors and the main levels of change of these factors were established. Next, a two-factor experiment plan was implemented using a numeric array from the wellknown CoroKey catalog by SANDVIK Coromant. At the next step, the experimental data was processed using the existing method and on the basis of this information, private graphical dependencies of the studied parameter on the levels of factors were constructed. At the final stage, using the types of graphical dependencies, the regression equation of the investigated value of the cutting tool feed from two independent factors at three levels of each of them was formulated. To implement this algorithm, the least squares method was used, and the system of normal equations obtained on its basis. The proposed algorithm for obtaining the regression equation for solving problems in the field of machining production can be effectively used in computer-aided design systems for selecting technological parameters in the modes of processing parts with a blade tool, using numerical data from technological directories and catalogs of cutting tool manufacturers.

Akurasi dalam Mengidentifikasi Talenta Siswa Lanjutan Menggunakan Metode Multifactor Evaluation Process (MFEP)

Talenta adalah kemampuan alamiah untuk memperoleh pengetahuan dan keterampilan, baik yang bersifat umum maupun yang bersifat khusus. Pada dasarnya masing-masing individu mempunyai talenta yang berbeda-beda. terlebih lagi didukung dengan talenta yang sesuai, akan membawa gairah dan memberi kenikmatan dalam mempelajari atau menjalaninya. Memberikan gambaran kepada siswa tingkat atas siapa diri mereka melalui talenta dan minat sehingga peluang kerja apa yang bisa mereka rintis setelah lulus sekolah nanti.Data dalam penelitian ini bersifat kualitatif berkaitan dengan fokus penelitian yakni proses mengidentifikasi talenta peserta didik di Ruang Pendidik SMAN 1 Linggo Sari Baganti. Sedikitnya ada sembilan kecerdasan atau talenta yang mungkin dimiliki seseorang, yakni logical mathematical, linguistic/verbal, visual spatial, musical, bodily-kinesthetic, interpersonal, intrapersonal, natural, dan moral/ spiritual. Sumber data dalam penelitian didapat dari data primer yakni data diperoleh langsung dari sumber data yakni orang-orang yang terlibat dalam proses identifikasi talenta di Ruang Pendidik SMAN 1 Linggo Sari Baganti. Selain itu sumber data dalam penelitian ini berupa sumber sekunder misalnya berupa dokumen yang terkait dalam implementasi kurikulum. Selanjutnya data diolah menggukan Metode Multifactor Evaluaton Process (MFEP). MFEP adalah metode kuantitatif yang menggunakan ‘weighting system’ dan Penelitian ini menggunakan bahasa program VB.NET 2017 dan MySQL. Tahapan pengolahannya adalah Menentukan kriteria, perhitungan dan proses sehingga menghasilkan keputusan, Hasil penjumlahan di atas, terdapat 10 orang siswa yang datanya diolah dan menghasilkan jumlah perhitungan atau keakurasian sebesar 86,51%. Sehingga penelitian ini dapat menjadi rujukan dalam mengambil keputuasan yang tepat pada Sekolah SMAN 1 Linggo Sari Baganti.

Penentuan Pembelajaran untuk Meningkatkan Hafalan Al-Qur’an Menggunakan Metode MFEP

Menghafal Al-Qur’an tidak mudah seperti yang diharapkan, tetapi perlu adanya usaha dan minat dalam meningkatkan hafalan Al-Qur’an, karena masih banyak santri/santriwati dari Pondok Pesantren Modern Diniyyah yang masih belum bisa fokus dalam meningkatkan hafalannya karena sisebabkan berbagai hal, seperti jadwal kegiatan yang padat, timbulnya rasa malas, dan faktor-faktor lainnya. Untuk meningkatkan hafalan Al-Qur’an, banyak metode yang dapat dilakukan untuk meningkatkan hafalan Al-Qur’an, namun masih banyak dari peserta didik yang belum memahami metode yang tepat dalam meningkatkan hafalan Al-Qur’an. Pengolahan data dalam penelitian ini bersifat kualitatif, karena penelitian ini berfokus pada proses mengidentifikasi pembelajaran yang tepat dalam meningkatkan hafalan Al-Qur’an bagi santri/santriwati di Pondok Pesantren. Sumber data dalam penelitian didapat dari data primer, data diperoleh langsung dari sumber data yakni Ustadz yang diberikan amanah sebagai penanggung jawab dalam program ini. Selain itu sumber data dalam penelitian ini sebrsifat sekunder, karena data yang didapat berupa data dalam bentuk dokumen yang terkait dalam implementasi nyata. Selanjutnya data diolah menggukan Metode Multifactor Evaluaton Process (MFEP). MFEP adalah salah satu metode yang dapat digunakan dalam sistem pendukung keputusan yang menggunakan ‘sistem pembobotan’ dan Penelitian ini menggunakan bahasa pemrogram VB.NET 2017 dan Mysql. Hasil perhitungan memiliki tingkat akurasi 80%, sehingga penelitian ini dapat dijadikan sebagai rekomendasi untuk meningkatkan hafalan Al-Qur’an.

Empirical data processing technique for studying the influence of technological parameters on tool feed during the final processing of steel and cast-iron workpieces

When implementing a multi-variant design of the machining process, one of the important tasks is to select rational technological parameters at the final transitions of the forming process, ensuring the specified quality of surfaces on the finished part made of the appropriate material. When modeling most design procedures at all stages of machining, there are problems associated with algorithmization of the solution method, adequate selection of the regression equation and the range of acceptable solutions at the specified processing stages. In this paper, as an algorithm for solving the problem, we propose the use of a well-known method of rational planning of the experiment, which allows us to obtain a mathematical model of the multi-factor process under study. In the process of implementing this algorithm, based on a priori information, the research object was selected, its factors and the main levels of changes in these factors were determined. The proposed algorithm for obtaining the regression equation for solving problems in the field of machining production can be effectively used in computer-aided design systems for selecting technological parameters in the modes of processing parts with a blade tool, using numerical data from technological reference books and catalogs of cutting tool manufacturers.

Modeling of the influence of technological parameters on surface quality, when processing a polymer material, according to a numerical experiment

When designing the machining process, one of the essential tasks is the rational choice of cutting modes for various materials, which guarantee the specified quality of the processed surface while ensuring the performance of the process being implemented. The paper describes an algorithm for implementing a multi-factor experiment of the cutting process with a blade tool and constructing a regression equation based on it that describes the quality of the treated surface on polymer material blanks. To implement the algorithm, it is proposed to use the method of planning a rational experiment, which is convenient for obtaining different mathematical models when studying multi-factor processes. In this context, when modeling the three-factor experiment, the initial data of domestic production of various types of polymer materials were taken into consideration. The developed method can be effectively used in the conditions of operating machine-building enterprises for modeling the roughness of the processed surfaces, through a mechanism for rational selection of processing modes, especially in the absence of relevant reference data, and integrated into existing automated systems created on the basis of General-purpose application software.

Identification and Analysis of Key Parameters for the Ossification on Particle Functionalized Composites Hydrogel Materials.

Developing materials for tissue engineering and studying the mechanisms of cell adhesion is a complex and multifactor process that needs analysis using physical chemistry and biology. The major challenge is the labor-intensive data mining as well as requirements of the number of advanced techniques. For example, hydrogel-based biomaterials with cell-binding sites, tunable mechanical properties, and complex architectures have emerged as a powerful tool to control cell adhesion and proliferation for tissue engineering. Composite hydrogels could be used for bone tissue regeneration, but they exhibit poor ossification properties. In current work, we have designed new osteoinductive gellan gum hydrogels by a thermal annealing approach and consequently functionalized them with Ca/Mg carbonate submicron particles. Determination of key parameters, which influence a successful hydroxyapatite generation, was done via the principal component analysis of 18 parameters (Young's modulus of the hydrogel and particles, particle size, and mass) and cell behavior at various time points (like viability, numbers of the cells, rate of alkaline phosphatase production, and cells area) obtained by characterizing such composite hydrogel. It is determined that the particles size and concentration of calcium ions have a dominant effect on the hydroxyapatite formation, because of providing local areas with a high Young's modulus in a hydrogel, a desirable property for cell adhesion. The detailed analysis presented here allows identifying hydrogels for cell growth applications, while on the other hand, material properties can be predicted, and their overall number can be minimized leading to efficient optimization of bone reconstruction and other cell growth applications.