Innate Ability Research Articles

CRISPR/Cas9 mediated validation of spermatogenesis-related gene, tssk2 as a component of genetic pest management of fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae).

Invasive insect pests, currently, pose a serious economic threat to several staple crops all over the world, one such being the fall armyworm, Spodoptera frugiperda. It was first observed in Africa since 2016, outside of its natural habitat in the Americas. Subsequently, it invaded several countries in South and South East Asia and also very recently in Australia. In all the newly invaded regions, maize is the principal crop attacked causing a serious economic concern to the poor farmers, particularly in the developing countries. Owing to the innate genetic ability, it defies many of the management options that include insecticides, Bt transgenics, and so forth. This is due to its high mobility, polyphagy and ability for quick development of resistance to several classes of insecticides. At this critical juncture, CRISPR/Cas9 mediated genome editing has shown a lot of promise in developing a novel area-wide pest management strategy called precision-guided sterile insect technique (pgSIT). pgSIT was initially demonstrated in Drosophila melanogaster which holds a greater promise for the environmentally friendly management of several globally significant agricultural pests such as S. frugiperda. Therefore, before developing both sgRNA and Cas9 transgenic lines, we have validated the target gene such as tssk2 through a non-transgenic approach by microinjecting ribo nucleo protein complex (Cas9 protein and tssk2 sgRNA) into G0 eggs of S. frugiperda. In the current investigation, we have obtained five edited males with distinct mutations which were further used for crossing studies to ascertain the effect of tssk2 editing affecting egg hatchability.

Construction and Optimization of Sports Athlete Selection and Talent Cultivation System Based on Data Analysis

Talent cultivation is the deliberate and systematic process of identifying, nurturing, and developing individuals' innate abilities and potential across various domains. It involves providing structured opportunities, resources, and guidance to help individuals flourish and excel in their chosen fields. This process encompasses education, mentorship, training programs, and practical experiences tailored to the specific needs and interests of each individual. This paper presents a novel approach to the construction and optimization of a Sports Athlete Selection and Talent Cultivation System through the integration of data analysis techniques, with a particular emphasis on the Anthropometric Invariance Gait Recognition for Pattern (AIGRP) system. Leveraging advanced algorithms, the AIGRP system enables precise characterization of athletes' biomechanical profiles based on anthropometric measurements and gait characteristics. By analyzing data collected from athletes, including age, gender, height, weight, and specific performance metrics, such as speed, strength, and endurance, the system facilitates personalized athlete selection and talent cultivation strategies. Furthermore, the objective and data-driven nature of the AIGRP system reduces biases inherent in traditional selection methods, leading to more efficient and effective talent identification. By analyzing data collected from athletes, including age, gender, height (mean: 175 cm), weight (mean: 70 kg), and specific performance metrics, such as speed (mean: 6.5 m/s), strength (mean: 140 kg), and endurance (mean: 47 min), the system facilitates personalized athlete selection and talent cultivation strategies.

Recruiting and cultivating future leaders in laboratory science.

Technological in-vitro fertilization (IVF) advancements originate in the embryology laboratory, and are accompanied by increased regulatory oversight and risk management. Stakes have never been higher or the need greater for the recruitment and cultivation of leaders in laboratory science to navigate the direction of IVF. Current thought leaders in state-of-the-art laboratories must prioritize this mission to optimize and preserve the future of IVF. Leaders in laboratory science must be able to speak to patients, the lay public, business leaders, scientific colleagues and clinical embryologists. While technically gifted, laboratory leaders may benefit from leadership training. Recruitment of scientists into IVF is currently challenging due to a lack of branding and no clear pipeline for new scientists to enter the field. Once recruited however, cultivation of new leaders requires coaching and skill acquisition over time, in order to create multifaceted laboratory leadership. Laboratory leaders are typically recruited based on education and experience to lead teams of embryologists. These leaders will adopt new technologies in the laboratory. Therefore, laboratory leaders play a powerful role in IVF requiring leadership skills ultimately driving patient outcomes. These laboratory directors must possess innate leadership abilities or learn how to lead their teams.

Children's Acquisition of Arabic Language Based On Chomsky's Theory Of Nativism

This study delves into the acquisition of Arabic language by children in the context of Chomsky's Theory. Acquisition of Arabic language for non-native students in Indonesia is very important to find out how Indonesians acquire arabic language and are able to understand the rules of the target language. The research focuses on non-native students in Indonesia, shedding light on how they grasp Arabic language and comprehend its linguistic rules. Through a qualitative approach and the Miles and Huberman model for data analysis, the study reveals that children can proficiently learn Arabic through language acquisition rather than traditional learning methods. And results of study are that children can master arabic language by means of language acquisition, if he masters the second language it is not through the learning process in school. The findings underscore the significance of innate language skills in children, as proposed by Chomsky's Theory of Nativism, emphasizing the presence of a Language Acquisition Device (LAD) from birth. This study contributes valuable insights into the natural language acquisition process and the role of innate linguistic abilities in mastering Arabic language skills. So, there must be some important aspects regarding the language system that is naturally within the child.

The Role of Teacher Interpersonal Behavior on Learning Outcomes in The Cognitive, Affective, and Moral Domains

Students' academic abilities are not only influenced by students' innate abilities but are also influenced by the learning environment created by teachers. This research aims to test the validity of the teacher interpersonal behavior questionnaire designed by researchers and determine the role of each teacher's interpersonal components on cognitive and affective development and student morale. This research uses factorial design analysis to look at the role of teachers' interpersonal skills on students' cognitive, affective, and moral abilities. The participants involved in this research were 550 junior high school students. Data was collected using questionnaires to assess teachers' interpersonal skills, cognitive self-report, affective, and student moral assessment scales. Data analysis uses multiple regression and correlation analysis to see the correlation between these variables. The research results show that students' perceptions of teachers' interpersonal skills significantly correlate with learning outcomes in students' cognitive, affective, and moral domains. Apart from that, the questionnaire scale designed by the researcher meets the validity criteria because the questionnaire scale can explain what scales are positive and negative predictors of student learning outcomes in each domain. This research implies that teachers must display positive interpersonal behavior during the learning process or interaction with the class so that the learning process is more effective.

The complexity of extracellular vesicles: Bridging the gap between cellular communication and neuropathology.

Brain-derived extracellular vesicles (EVs) serve a prominent role in maintaining homeostasis and contributing to pathology in health and disease. This review establishes a crucial link between physiological processes leading to EV biogenesis and their impacts on disease. EVs are involved in the clearance and transport of proteins and nucleic acids, responding to changes in cellular processes associated with neurodegeneration, including autophagic disruption, organellar dysfunction, aging, and other cell stresses. In neurodegenerative disorders (e.g., Alzheimer's disease, Parkinson's disease, etc.), EVs contribute to the spread of pathological proteins like amyloid β, tau, ɑ-synuclein, prions, and TDP-43, exacerbating neurodegeneration and accelerating disease progression. Despite evidence for both neuropathological and neuroprotective effects of EVs, the mechanistic switch between their physiological and pathological functions remains elusive, warranting further research into their involvement in neurodegenerative disease. Moreover, owing to their innate ability to traverse the blood-brain barrier and their ubiquitous nature, EVs emerge as promising candidates for novel diagnostic and therapeutic strategies. The review uniquely positions itself at the intersection of EV cell biology, neurophysiology, and neuropathology, offering insights into the diverse biological roles of EVs in health and disease.

University Admission: Is Achievement a Sufficient Criterion?

Abstract We analyse university admissions using a statistical discrimination model where students differ by ability and social group. In this university system, candidates are evaluated on the basis of their expected human capital, which includes both their innate abilities and the knowledge acquired during their schooling. Consequently, students determine their study effort based on the behaviour of universities. Interestingly, we find that students from a less advantaged group need a lower grade to gain admission to the best universities. If a university cannot discriminate between social groups, all students with the same grade will attend universities of the same quality, but with different levels of human capital.

Design and Testing of an Intramedullary Nail Implant Enhanced with Active Feedback and Wireless Connectivity for Precise Limb Lengthening

This comprehensive study presents a pioneering approach to limb lengthening, leveraging the advancements in wireless technology to enhance orthopedic healthcare. Historically, limb lengthening has been a response to discrepancies caused by fractures, diseases, or congenital defects, utilizing the body’s innate ability to regenerate bone and surrounding tissues. Traditionally, this involved external or internal fixation devices, such as the Ilizarov and Taylor Spatial frames or the Precice nail and Fitbone. The focal point of this research is the development and testing of a wireless intramedullary nail implant prototype, controlled remotely via a mobile application. This implant comprises a microcontroller, Bluetooth Low Energy module, a brushed DC motor controlled through an H-bridge, and a force sensor, all powered by medical-grade batteries. The integration of wireless technology facilitates patient autonomy in managing limb lengthening, reducing the need for frequent clinical visits. The methodology involves a detailed block diagram for our proposed work, outlining the process from treatment planning to the initiation of limb lengthening via the mobile application. Osteogenesis, the formation of new bone tissue, plays a crucial role in this procedure, which includes pre-surgery assessment, osteotomy, latency, distraction, consolidation, and removal phases. Key challenges addressed include custom battery design for efficient operation, size constraints, and overcoming signal interference due to the Faraday cage effect. Attenuation testing, simulating human tissue interaction, validates the implant’s connectivity. In conclusion, this research marks a significant stride in orthopedic care, demonstrating the feasibility of a wireless implant for limb lengthening. It highlights the potential benefits of reduced clinical visits, cost efficiency, and patient convenience. Despite limitations such as battery requirements and signal interference, this study opens avenues for future enhancements in patient-centered orthopedic treatments, signaling a transformative shift in managing limb length discrepancies.

Chromatography affinity resin with photosynthetically-sourced protein A ligand

Green, photosynthesizing plants can be proficiently used as cost-effective, single-use, fully biodegradable bioreactors for environmentally-friendly production of a variety of valuable recombinant proteins. Being near-infinitely scalable and most energy-efficient in generating biomass, plants represent profoundly valid alternatives to conventionally used stationary fermenters. To validate this, we produced a plastome-engineered tobacco bioreactor line expressing a recombinant variant of the protein A from Staphylococcus aureus, an affinity ligand widely useful in antibody purification processes, reaching accumulation levels up to ~ 250 mg per 1 kg of fresh leaf biomass. Chromatography resin manufactured from photosynthetically-sourced recombinant protein A ligand conjugated to agarose beads demonstrated the innate pH-driven ability to bind and elute IgG-type antibodies and allowed one-step efficient purification of functional monoclonal antibodies from the supernatants of the producing hybridomas. The results of this study emphasize the versatility of plant-based recombinant protein production and illustrate its vast potential in reducing the cost of diverse biotechnological applications, particularly the downstream processing and purification of monoclonal antibodies.

FedUSL: A Federated Annotation Method for Driving Fatigue Detection based on Multimodal Sensing Data

Single-modal data has a limitation on fatigue detection, while the shortage of labeled data is pervasive in multimodal sensing data. Besides, it is a time-consuming task for board-certified experts to manually annotate the physiological signals, especially hard for EEG sensor data. To solve this problem, we propose FedUSL (Federated Unified Space Learning), a federated annotation method for multimodal sensing data in the driving fatigue detection scenario, which has the innate ability to exploit more than four multimodal data simultaneously for correlations and complementary with low complexity. To validate the efficiency of the proposed method, we first collect the multimodal data (aka, camera, physiological sensor) through simulated fatigue driving. The data is then preprocessed and features are extracted to form a usable multimodal dataset. Based on the dataset, we analyze the performance of the proposed method. The experimental results demonstrate that FedUSL outperforms other approaches for driver fatigue detection with carefully selected modal combinations, especially when a modality contains only \(10\% \) labeled data.

Engineering biomimetic nanosystem targeting multiple tumor radioresistance hallmarks for enhanced radiotherapy.

Tumor cells establish a robust self-defense system characterized by hypoxia, antioxidant overexpression, DNA damage repair, and so forth to resist radiotherapy. Targeting one of these features is insufficient to overcome radioresistance due to the feedback mechanisms initiated by tumor cells under radiotherapy. Therefore, we herein developed an engineering biomimetic nanosystem (M@HHPt) masked with tumor cell membranes and loaded with a hybridized protein-based nanoparticle carrying oxygens (O2) and cisplatin prodrugs (Pt(IV)) to target multiple tumor radioresistance hallmarks for enhanced radiotherapy. After administration, M@HHPt actively targeted and smoothly accumulated in tumor cells by virtue of its innate homing abilities to realize efficient co-delivery of O2 and Pt(IV). O2 introduction induced hypoxia alleviation cooperated with Pt(IV) reduction caused glutathione consumption greatly amplified radiotherapy-ignited cellular oxidative stress. Moreover, the released cisplatin effectively hindered DNA damage repair by crosslinking with radiotherapy-produced DNA fragments. Consequently, M@HHPt-sensitized radiotherapy significantly suppressed the proliferation of lung cancer H1975 cells with an extremely high sensitizer enhancement ratio of 1.91 and the progression of H1975 tumor models with an excellent tumor inhibition rate of 94.7%. Overall, this work provided a feasible strategy for tumor radiosensitization by overcoming multiple radioresistance mechanisms.

Abstract LB198: The PAX5 oncogene encodes circular RNA products involved in B cell cancer processes

Abstract Introduction: B-cell cancers represent some of the most prevalent hematological lesions in adult and children. B-cell cancers are also notable for their malignancy and resistance to drug therapies. Our group studies B-cell oncogenes and recently discovered that the prominent PAX5 oncogene, which usually encodes transcription factors, also generates non-coding circular RNA transcripts. Circular RNAs (circRNAs) represent a new class of gene products involved in many biological processes and cancer disease. Due to their innate ability to bind and modulate co-interacting proteins and microRNAs (miRs), circRNAs represent new signaling avenues in cancer biology. Hypothesis: Given that products from the PAX5 oncogene are important regulators of B-cell cancers, we hypothesized that PAX5 circRNAs (circPAX5) are also involved in B-cell oncogenesis. Objective: We therefore set out to study circPAX5 products, and their co-interacting miRs, in B-cell cancers. Results: Using a series of B-cell cancer models and clinical samples, we first profiled the expression of circPAX5 products and found that B-cell leukemias overexpress circPAX5 where its predominant circRNA isoform consisted of exons 2 to 5 sequences of the PAX5 locus. To establish a functional role of circPAX5 on cancer processes, we evaluated B-cell proliferation and chemosensitivity in cancer models expressing conditioned levels of circPAX5. Interestingly, we found that the suppression of circPAX5 levels resulted in the alteration of cancer growth rates, which were dependent upon B-cell differentiation state and population subtype. Mechanistically, we also found that circPAX5 interacts with specific miRs, which were profiled by circRNA precipitation and deep sequencing. Selected sponged miRs were then studied by bio-informatic analyses and mapped to downstream mRNA targets and B-cell cancer pathways. Conclusions: Altogether, our findings uncover PAX5 circular products, which are involved in B-cell cancer processes and could potentially represent a new cancer pathway targeted for therapeutic and/or diagnostic strategies in B-cell cancer lesions. Citation Format: Danick Martin, Brandon Hannay, Farrah McGraw, Alexis Martin, Vanessa Veilleux, Nicholas Finn, Gilles A. Robichaud. The PAX5 oncogene encodes circular RNA products involved in B cell cancer processes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB198.

Motion Learning and Generalization of Musculoskeletal Robot Using Gain Primitives

Organisms have an innate ability to rapidly produce diverse and flexible movement. Biological motor systems are composed of highly redundant muscle actuators and have strongly nonlinear dynamic characteristics. How organisms cope with such complex system is still an open question. Motor primitive theory proposed by neuroscientists has provided a convincing explanation for this extraordinary ability and have supported by several biological evidence. In this paper, based on the gain primitive model of cortical network proposed by neuroscientists, new algorithms for learning and combining gain primitives were designed to control musculoskeletal and robotic system with highly redundant actuators. It can realize dimensionality reduction of controll from the number of actuators to the number of primitives. A parameter adaptation algorithm inspired by monoamines modulation mechanism was applied to improve the learning efficiency of gain primitive. Learned motion experiences and primitives were introduced to effectively generate new movements. Validation experiments were carried out on a musculoskeletal model with 9 muscles and an articulated robot Baxter with redundant actuators. The experimental results demonstrated that the recurrent neural network modulated by gain primitives can generate high-dimensional control signals and realize efficient motion generalization for practical systems. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper applied a biologically plausible control method with gain primitive to practical systems with highly redundant actuators. To reduce the cumulative error occurring in learning gain primitive for control networks with high dimensional output, a bioinspired Hebbian learning rule was applied to train a recurrent neural network for optimizing the gain primitive. During the training process, systematic entropy was introduced as an index to adaptively adjust learning parameters, so as to reduce the exploration cost and improve the learning stability of the system. To realize easy implementation and generalization, prior motion experiences were introduced into the initialization of the optimization algorithm, and motion generalization was realized by using the particle swarm optimization algorithm. The algorithms designed in this paper are applicable to complex systems with highly redundant actuators such as humanoid robots.

Female Pre-Service Elementary Teachers’ Conceptualizations of Engineers and Engineering: A Critical Consciousness Perspective

ABSTRACT The purpose of this study was to address issues of potential gender bias in pre-service elementary teachers’ conceptions of engineers and engineering using Freire’s (2018) Critical Consciousness perspective. By identifying the biasness as causal and structural attributions, the study also aimed to construct a critical pedagogy framework for future pre-service elementary teachers to reflect on and to radically reimagine and transform potential gender bias in their conceptions of engineers and engineering. Drawings of engineers and narratives of drawings from 115 pre-service elementary teachers served as data. The analysis comprised a two-step process: (1) identification of patterns through an inductive analysis of the data; and (2) analysis of patterns from the Critical Consciousness perspective to generate themes. Themes included: (1) depictions of male engineers being afforded privileges of having innate abilities to perform engineering from the standpoint of strong disciplinary backgrounds in mathematics and science while depictions of female engineers being afforded privileges of having innate abilities to perform engineering from the standpoint of computing, designing, and coding. (2) depictions of male engineers’ “work” of engineering being related to tangible outcomes like physical products, and (3) depictions of male engineers as authority figures and having the ability to lead the work of engineering. The critical pedagogical framework constructed is a step toward developing a tool for critically reflecting, and radically imagining, reimagining, and thus transforming inequities inherent in future pre-service elementary teachers’ conceptualizations of engineers and engineering.

Potential applications of internet of things: A comprehensive analysis

Internet of Things (IoT) is the amalgamation of hardware, like sensors and trackers, which monitor several parameters of the environment or physical objects, and software that processes all the data gathered by hardware. Globally, the IoT market is anticipated to reach 53.8 billion USD by 2025. This enhancing demand is due to its innate ability to automate, which drives several industries to adopt IoT. In addition, minimum memory cost, processing, and storage with an increase in Big Data (BD), cloud, and conjunction of industrial networks and the internet are the added factors for the increase in IoT development. Due to this significance, IoT has applications in numerous areas like medical management, farming, wearable technology, smart energy meters, smart cities, etc. The applications are not limited to the examples mentioned above. Considering this, existing studies have considered different applications and attempted to execute them. As different applications have been focused on by these studies, the present review intends to provide a compilation of potential applications of IoT as considered by conventional research between 2018 and 2022. The study also intends to explore the advantages and disadvantages of different IoT applications (deliberated by conventional studies) through tabular analysis. Further, this review emphasizes IoT’s major key challenges and countermeasures to resolve its security issues. Finally, the study affords recommendations that will assist all IoT experts in bringing IoT products with enhanced security into the market.

Iron‐catalyzed intermolecular and intramolecular cyclization reactions of N‐heterocycles

AbstractN‐Heterocyclic compounds have been appealing pharmacophores in their use as drug production substrates. In this review paper, the cyclization of N‐heterocycles, using iron as a catalyst, and their mechanistic pathways have been highlighted and presented comprehensively. This paper will provide researchers with in‐depth knowledge of their approach to synthesis by employing a greener way rather than a conventional one. The present review firmly establishes that iron catalysts by their innate ability and inherent potential to acquire the four oxidation states coupled with their easy accessibility, inexpensive, and environment‐friendly nature have remained the mainstay in chemistry as the evergreen catalyst in the domain of organic synthesis. This review paper extensively explores iron‐catalyzed cyclization of N‐heterocycles, elucidating mechanistic pathways and emphasizing greener synthesis methods. Iron's versatility, accessibility, and eco‐friendliness solidify its position as a cornerstone in organic synthesis.

Construction of curcumin-loaded macrophage and HUVECs membrane-derived vesicles for drug delivery in cardiovascular inflammatory

In the progression of cardiovascular disease (CVD), myocardial inflammation and vascular endothelial inflammation are prevalent pathological phenomena. However, the development of drug delivery platform with high specificity against these inflammatory injury sites remains a challenge. To overcome this, we fused RAW264.7 macrophage membranes with human umbilical vein endothelial cell (HUVEC) membranes to prepare hybrid extracellular vesicles (RAW-HEVs) consisted of both types of cell membrane proteins. This hybrid EVs exhibited high uptake ratio towards LPS-induced inflammatory HUVECs and H9C2 cells. By leveraging the stealth properties of HUVEC membranes in the bloodstream and the innate inflammation-targeting ability of RAW264.7 macrophage membranes, RAW-HEVs actively accumulated at inflammatory sites of the heart and thoracic aorta in vivo. By loading curcumin (Cur) with anti-inflammatory activity to prepare Cur-loaded hybrid extracellular vesicles (RAW-H/Cur). RAW-H/Cur significantly reduced the expression of pro-inflammatory cytokines in cell supernatants and mice serum as compared to free Cur, as determined by ELISA. In addition, a significant reduction in LPS-induced organ damage in the heart and thoracic aorta was observed with RAW-H/Cur treatment, determined by Hematoxylin-eosin staining and immunohistochemistry. In conclusion, RAW-H/Cur, as a promising bionic delivery system for cardiovascular inflammatory diseases, is expected to help deliver Cur to inflamed regions of the heart and blood vessels and alleviate inflammatory symptoms.

Bio-Hybrid Magnetic Robots: From Bioengineering to Targeted Therapy.

Magnetic robots possess an innate ability to navigate through hard-to-reach cavities in the human body, making them promising tools for diagnosing and treating diseases minimally invasively. Despite significant advances, the development of robots with desirable locomotion and full biocompatibility under harsh physiological conditions remains challenging, which put forward new requirements for magnetic robots' design and material synthesis. Compared to robots that are synthesized with inorganic materials, natural organisms like cells, bacteria or other microalgae exhibit ideal properties for in vivo applications, such as biocompatibility, deformability, auto-fluorescence, and self-propulsion, as well as easy for functional therapeutics engineering. In the process, these organisms can provide autonomous propulsion in biological fluids or external magnetic fields, while retaining their functionalities with integrating artificial robots, thus aiding targeted therapeutic delivery. This kind of robotics is named bio-hybrid magnetic robotics, and in this mini-review, recent progress including their design, engineering and potential for therapeutics delivery will be discussed. Additionally, the historical context and prominent examples will be introduced, and the complexities, potential pitfalls, and opportunities associated with bio-hybrid magnetic robotics will be discussed.

Royal Jelly Enhances the Ability of Myoblast C2C12 Cells to Differentiate into Multilineage Cells.

Royal jelly (RJ) is recognized as beneficial to mammalian health. Multilineage differentiation potential is an important property of mesenchymal stem cells (MSCs). C2C12 cells have an innate ability to differentiate into myogenic cells. Like MSCs, C2C12 cells can also differentiate into osteoblast- and adipocyte-lineage cells. We recently reported that RJ enhances the myogenic differentiation of C2C12 cells. However, the effect of RJ on osteoblast or adipocyte differentiation is still unknown. Here in this study, we have examined the effect of RJ on the osteoblast and adipocyte differentiation of C2C12 cells. Protease-treated RJ was used to reduce the adverse effects caused by RJ supplementation. To induce osteoblast or adipocyte differentiation, cells were treated with bone morphogenetic proteins (BMP) or peroxisome proliferator-activated receptor γ (PPARγ) agonist, respectively. RNA-seq was used to analyze the effect of RJ on gene expression. We found that RJ stimulates osteoblast and adipocyte differentiation. RJ regulated 279 genes. RJ treatment upregulated glutathione-related genes. Glutathione, the most abundant antioxidative factor in cells, has been shown to promote osteoblast differentiation in MSC and MSC-like cells. Therefore, RJ may promote osteogenesis, at least in part, through the antioxidant effects of glutathione. RJ enhances the differentiation ability of C2C12 cells into multiple lineages, including myoblasts, osteoblasts, and adipocytes.

Model for the formation of research competence of a future teacher of mathematics

Relevance. The study addresses the pressing need for educational reform in Kazakhstan, particularly in the training of pedagogical specialists, including future mathematics teachers. It emphasizes the importance of identifying and understanding the competencies required for effective educator preparation in the evolving educational landscape. Purpose. This study aims to explore the model for cultivating research competence among future mathematics teachers and to differentiate between the terms "competency" and "competence". It seeks to highlight the implications of these distinctions for professional development and educational practice. Methodology. The study likely utilizes qualitative research methods such as literature review and potentially case studies or interviews to investigate the formation of research competence in mathematics educators. Results. The findings underscore the comprehensive nature of mathematics education, emphasizing the integration of didactic, educational, and organizational skills. It explores how these skills contribute to fostering students' holistic development across emotional, intellectual, and physical dimensions. Conclusions. Effective mathematics teaching encompasses a blend of innate abilities, acquired skills, and personal traits, alongside a deep commitment to student welfare. The study underscores the necessity of aligning educational practices with contemporary societal demands and institutional frameworks. It advocates for the active integration of research competence models into teacher training programs to better prepare educators for the challenges of modern educational environments. Keywords: students; academic performance; education; competence