High-quality Performance Research Articles

Multipath 3D-Conv encoder and temporal-sequence decision for repetitive-action counting

Counting repetitive actions is important in work and daily life. Automated counting using deep learning provides a more efficient, accurate alternative to manual counting, which is tedious and error-prone Deep-learning models have been proposed to automatically count repetitive actions in video content. However, for these models to be applied to realistic scenes, high-quality performance and generalization to multiple environments, particularly for long videos, are essential. To address these challenges, we propose a new model, ME-RAC, which includes the multipath 3D-Conv encoder module, and we also propose a temporal-sequence random-combination data augmentation to improve counting performance and prevent model over-fitting during training. Additionally, we propose the temporal-sequence-decision (TSD) framework system to realize long repetitive-action counting in complex realistic scenes. We conducted experiments to validate that our proposed methods perform better than comparable methods and our TSD framework achieved unique performance in long repetitive-action-counting tasks.

ANALYSIS OF SCHOOL CURRICULA IN TERMS OF REFLECTION ON THE DEVELOPMENT OF SELF-CARE SKILLS TO MENTALLY RETARDED SCHOOL CHILDREN

A focus on self-care skills fosters an environment where all children, regardless of ability, can participate and contribute to the classroom community. The formation and development of self-care skills for children with mental retardation during school years is an important and integral part of the overall system of preparing them for study in inclusive settings, independent life and work to the possible extent.
 At the same time, literature data, work experience of teachers and special educators working in inclusive schools, as well as our observations show that for children with mental retardation, especially in the lower grades, the acquisition of theoretical knowledge and practical skills and self-care skills in various types of daily activities (game, educational, work, etc.) presents significant difficulties. The possession of these skills is important for these children not only during school but also after graduation.
 The significance of the problem under study also increases because today in Armenia the shift to inclusive education is a reality and children with various needs study together. This requires children's independence, sufficient social behavior skills, spatial orientation skills, high-quality performance and many other self-care skills in a wide variety of areas of activity. The level of development of these skills largely determines the success of inclusion and adaptation of these children among their classmates.
 Considering the above mentioned, it becomes important to study and analyze school curricula for various disciplines in grades I-IV in terms of how they reflect issues of education and the development of self-care skills for children with mild and moderate mental retardation. This will help to clarify the positive and negative aspects of these programs, the degree of their direct or indirect connection with the issues of developing self-service skills in these children, and to develop appropriate proposals for their improvement.

Performance prediction method based on Liang-Kleeman information flow and wood tracheid morphology

In order to improve the production efficiency of the wood industry and achieve intelligent feedback control in production processes, non-destructive online prediction of performance is crucial. With the increasing maturity of nanotechnology, the use of scanning electron microscopy (SEM) is becoming increasingly frequent. The Liang Kleeman (L-K) information flow theory is a quantitative causal analysis method based on time series data, which has the advantage of fast calculation. In order to predict the mechanical properties of wood in real-time, fast, and non-destructive manner, this article obtains feature data from SEM photos of wood tracheids, A performance prediction method based on L-K information flow and wood tracheid morphology was proposed. This method first extracts the aspect ratio, wall cavity ratio, double thick wall, and cavity diameter ratio characteristics of wood tracheids from SEM photos, and then calculates the L-K information flow of the tracheid characteristics on mechanical properties (compressive strength, flexural strength, flexural modulus of elasticity, tensile strength). The causal influence strength between them is quantitatively characterized by the coefficient of variation of the L-K information flow, Then, a linear function is constructed with tracheid characteristics as the independent variable, mechanical properties as the dependent variable, and causal influence strength as a coefficient to achieve non-destructive prediction of wood properties. The experimental results show that the highest prediction accuracy of this method reaches 92%, effectively achieving online performance prediction based on causal relationships and image data, providing data reference for screening high-quality performance wood.

A Multi-foci Sparse-Aperture Metalens.

Multi-foci lenses are essential components for optical communications, virtual reality display and microscopy, yet the bulkiness of conventional counterparts has significantly hindered their widespread applications. Benefiting from the unprecedented capability of metasurfaces in light modulation, metalenses are able to provide multi-foci functionality with a more compact footprint. However, achieving imaging quality comparable to that of corresponding single-foci metalenses at each focal point poses a challenge for existing multi-foci metalenses. Here, a polarization-independent all-dielectric multi-foci metalens is proposed and experimentally demonstrated by spatially integrating single-foci optical sparse-aperture sub-metalenses. Such design enables the metalens to generate multiple focal points, while maintaining the ability to capture target information comparable to that of a single-foci metalens. The proposed multi-foci metalens is composed of square-nanohole units array fabricated by two-photon polymerization. The focusing characteristic and imaging capability are demonstrated upon the illumination of an unpolarized light beam. This work finds a novel route toward multi-foci metalenses and may open a new avenue for dealing with the trade-off between multi-foci functionality and high-quality imaging performance.

PROPERTIES OF CONCRETE AND FIBER-REINFORCED CONCRETE FOR BASES OF ROAD CLOTHES BASED ON SECONDARY AGGREGATES WITH HETEROGENEOUS COMPOSITION

The problem of disposal of concrete scrap of dismantled building structures is relevant for most countries of the world. For Ukraine, this problem is even more acute due to the significant amount of destruction caused by hostilities and rocket attacks. In current research the properties of concrete and fibre-reinforced concrete for the bases of road clothes based on natural and secondary aggregates were compared: granite river gravel, secondary crushed stone with a heterogeneous composition, quartz sand and secondary sand from recycled reinforced concrete structures. CEM III/A slag Portland cement with a blast furnace slag content of 65% and a polycarboxylate type superplasticizer were used. Three series of samples were studied: without fibre; with glass fibre ANTI-CRAK HP 12 (length 12 mm, diameter 0.017 mm, equivalent thread diameter 0.3 mm) in the amount of 1 kg/m3; with polypropylene fibre BeneSteel 55 (length 55 mm, equivalent thread diameter 0.48 mm) in the amount of 4 kg/m3. In each series, concrete on granite gravel and quartz sand, concrete on secondary crushed stone and quartz sand, concrete on secondary crushed stone and secondary sand were studied. The workability of all mixtures was equal to S1. Due to the use of different types of aggregates and fibres, the W/C of concrete mixtures differed significantly. Concretes on secondary aggregates had a higher W/C than on natural aggregates. When using the Anti-Crak HP 12 fibre, the mobility of mixtures with equal W/C increased by 5.5 – 6.9 %. When using BeneSteel 55 fibre, W/C increased by 10.6 – 15.5 %. The type of aggregate had a significant effect on the average density of concrete. When using secondary crushed stone and quartz sand, the average density decreased by 3.8 – 4.6 %. When using secondary crushed stone simultaneously with secondary sand, the average density of concrete decreased by 5.2 – 8.5 %. When using Anti-Crak HP 12 fiber, the average density of concrete decreases by 2 %, when using BeneSteel 55 fibre – up to 4.1 %. Concretes on secondary crushed stone with heterogeneous composition and quartz sand had 4 % higher compressive strength and 2 % higher tensile strength in bending than concretes on granite gravel and similar sand (29.8 MPa and 3.18 MPa, respectively). When secondary crushed stone is used simultaneously with secondary sand, the compressive strength of concrete is only 1.1 % lower than the strength of concrete on natural aggregates, and the tensile strength in bending is 10 % lower. This confirms the possibility of effective use of these concretes for arranging of bases of road clothes. The high-quality performance of secondary aggregates in concrete explains due to their better adhesion to the cement-sand matrix. Dispersed fibre reinforcement with Anti-Crak HP 12 has a positive effect on the compressive strength of concrete on all types of aggregate and increases the tensile strength of concrete on natural aggregates. The use of BeneSteel 55 fibre was not effective due to a significant increase in the W/C of the mixture when it was introduced. In general, taking into account the economic factor, dispersion reinforcement of concrete on secondary aggregates with the types of fibres used in the research is not advisable.

Plant disease recognition in a low data scenario using few-shot learning

Plant disease is one of the major problems in agriculture. Diseases damage plants, reduce yields and lower the quality of the produce. Traditional approaches to detecting plant diseases are usually based on visual inspection and laboratory testing, which can be expensive and time-consuming. They require trained plant pathologists as well as specialised equipment. Several studies demonstrate that artificial intelligence (AI) methods can produce promising results. However, AI methods are generally data-hungry and require large annotated datasets, and the collection and annotation of such datasets can be a limiting factor. It often appears that only a small amount of data is available for certain disease types. Whereas the performance of typical AI methods drops significantly when they are trained with inadequate data. This paper proposes a novel few-shot learning (FSL) method to detect plant diseases and alleviate the data scarcity problem. The proposed method uses as few as five images per class in the machine learning process. Our method is based on a state-of-the-art FSL pipeline called pre-training, meta-learning, and fine-tuning (PMF), integrated with a novel feature attention (FA) module; we call the overall method PMF+FA. The FA module emphasises the discriminative parts in the image and reduces the impact of complicated backgrounds and undesired objects. We used ResNet50 and Vision Transformers (ViT) as the feature learner. Two publicly available plant disease datasets were repurposed to meet the FSL requirements. We thoroughly evaluated the proposed method on the PlantDoc dataset, which contains disease samples in field environments with complex backgrounds and unwanted objects. The PMF+FA method with ViT achieved an average accuracy of 90.12% in disease recognition. The results demonstrate that the PMF+FA pipeline consistently outperforms the baseline PMF. The results also highlight that the method using ViT generates better results than ResNet50 for diagnosing complex data. ViT and ResNet50 implementations are computationally efficient, taking 1.11 and 0.57 ms on average per image to evaluate the test set respectively. The high throughput and high-quality performance with only a small training dataset indicate that the proposed technique can be used for real-time disease detection in digital farming systems.

VDM 40 B

Abstract VDM 40 B is an austenitic iron-nickel-chromium-silicon-lanthanum alloy that is suitable for heating elements. It is characterized by excellent oxidation resistance, high resistivity, good sag resistance, and superior mechanical properties at high temperatures in comparison to other heating element alloys. VDM 40 B is less expensive than 60Ni, the traditional material for heating elements. This datasheet provides information on composition, physical properties, hardness, and tensile properties. It also includes information on high temperature performance, corrosion resistance, and surface qualities as well as forming and heat treating. Filing Code: SS-1366. Producer or source: VDM Metals GmbH.

DEVELOPMENT OF THE SOWING SYSTEM OF THE SOWING COMPLEX FORINTERNAL-SOIL DIFFERENTIATED MINERAL FERTILIZER WITH SIMULTANEOUS SOWING OF CEREAL

The issue of increasing the effectiveness of post-sowing intra-soil differentiated application of the main and starting dose of granular mineral fertilizers in the system of precision agriculture is considered. The need to use differential application of granular mineral fertilizer and machines that ensure high-quality performance of this technological process, taking into account the heterogeneity of the content of nutrients in the soil in certain areas of the field, is indicated. It is also indicated the need to develop and introduce into production highly accurate automated information technologies based on the use of high-performance means of mechanization. The indicated shortcomings of modern seeding machines: lack of adaptability for simultaneous differentiated introduction of the main and starting dose, as a result of which they lack highly adapted dispensers, appropriate control and management systems. The construction and technological scheme of the seeding complex is proposed and the pneumatic seeding system of this unit is developed for post-sowing intra-soil differentiated application of the main and starting dose of granular mineral fertilizers in the precision farming system. The proposed seeding complex will make it possible to eliminate the excessive application of mineral fertilizers, which can cause an increase in the activation of microbiological processes in the soil and have negative ecological consequences, leading to the deterioration of the physic-chemical and biological properties of the soil. The use of resource-saving technologies of precision agriculture in the agro-industrial complex of Ukraine will allow to ensure the management of production processes at the expense of information technologies, robotic and automated systems, which will allow to bring domestic agricultural enterprises to a new level.

Prospects for improving the special physical training of the cadets of the Security Service of Ukraine

Abstract. The change in the military and political situation in the world, the appearance of new types of weapons, the latest approaches to the conduct of hostilities, the constant arms race - this requires us to constantly change approaches and improve the training of military professionals, increase the requirements for their physical and mental readiness to perform tasks as assigned . Carrying out a number of reforms in the training of military specialists of the security and defense sector requires us to analyze and fundamentally change the training programs of combat training, taking into account the latest approaches, forms and methods of using troops. The formation of the national security system of Ukraine takes place at the expense of the multi-vector work of all branches of government. The Security Service of Ukraine plays a significant role in the defense capability of the state in many areas of work, namely: it carries out information and analytical work in the interests of the effective conduct of internal and external activities by state authorities and management of Ukraine, solving problems of defense, socio-economic construction, scientific and technical progress, ecology and other issues related to the national security of Ukraine. One of the important factors is the training of qualified professionals, and especially the formation of important physical qualities for high-quality performance of assigned tasks.
 Physical training is organized and conducted taking into account the tasks assigned to the units and bodies of the SBU and the specifics of their official activities, geographical conditions, the level of preparedness of the personnel, as well as the experience of conducting special operations and exercises in the interests of ensuring the security of Ukraine. Special physical training plays a significant role in the training of military personnel. Implementation of tasks is achieved in classes by working out exercises in physical and fire training, educational and training meetings, training in shooting ranges and on training grounds, classes in sports sections, holding competitions in official and applied sports and other types of sports.

Transformations towards an integrated leadership development system—A longitudinal study in a high-performing public organization

Leadership development (LD) plays a significant role in achieving high-quality performance and business results, but there is little research on how leadership development itself evolves as the organization develops. This study explores how a leadership development system evolved over 30 years, during a time when the organization became increasingly high performing. Through reflexive thematic analysis of organizational documents and interviews with top managers and practitioners, the study provides a rich longitudinal description of the evolvement. The results revealed three pervasive changes of the leadership development system: 1) from a system for business-specific learning to one for system-wide learning; 2) from a system for personal development to one for customer-oriented quality development; and 3) from a leadership development system consisting of leadership development programs to one that is integrated into regular meetings and uses simple rules. These changes supported the gradual transformation of the leadership development from being independent to becoming integrated in the wider system, supporting the business system. The findings offer a unique insight into how an organization transitioned from individual leader development towards promoting collective aspects of leadership development. The study provides two main theoretical contributions that support the perspective of viewing leadership development as integrated within organizational development. Firstly, we present a more multifaceted way of understanding leadership development, wherein managers and employees, customer outcomes, and business advancement are seen as mutually developing. Secondly, we introduce two new critical points that complement previous descriptions of an advanced leadership development system: It is system wide (not only business specific) and customer oriented (not only leader/participant oriented).

A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting

In this study, we propose a new self-organizing deep network architecture of fuzzy polynomial neural networks (FPNN) based on Fuzzy rule-based Polynomial Neurons (FPNs) and a long short-term memory (LSTM) network to solve the task of time-series forecasting. In the existing regression model based on polynomial neural networks (PNN), it is difficult to achieve high quality performance when predicting time series data, because this model lacks the ability to extract temporal and spatial information. Therefore, we propose a new architecture consisting of one LSTM (temporal) layer and several fuzzy polynomial (spatial) layers to overcome the above-mentioned shortcomings of PNN and enhance its predictive ability to approximate the data. The temporal layer consists of LSTM neurons that have inherently strong modeling capabilities to learn sequential information. The spatial layers are composed of Rule-based Polynomial Neurons (FPNs) that can effectively reflect the complex nonlinear structure found in the input space and granulate it using of the Fuzzy C-Means (FCM) clustering method. An elitism-driven roulette-wheel selection (E_RWS) is used to select appropriate neurons. E_RWS not only ensures that the neuron with the strongest fitting ability is selected but also increases the diversity of candidate neurons. According to the experimental results, the proposed model has a high prediction performance and outperforms many state-of-the-art prediction methods when applied to the real-world time-series.

Simultaneous determination of five carbapenems, highly polar antibiotics, in milk by LC-MS/MS

The simultaneous determination of five carbapenems (biapenem, doripenem, ertapenem, imipenem, and meropenem) in raw and pasteurised bovine milk samples using LC-MS/MS was achieved and validated. Chromatographic separation was conducted on an InertSustain® AQ-C18 column using 0.1% formic acid in water and acetonitrile as the mobile phase. Target compounds were extracted using acetonitrile/water (20:80, v/v). After the removal of lipids with acetonitrile-saturated hexane, the dissolved protein was denatured with acetic acid. A portion of the supernatant was passed through an Oasis® PRiME HLB cartridge to remove the matrix. This novel method was validated in accordance with the Japanese validation guidelines and exhibited good trueness, ranging from 86.3% to 96.2%, using matrix-matched calibration curves. The relative standard deviation of repeatability ranged from 1.0% to 6.3%, and that of within-laboratory reproducibility ranged from 1.6% to 7.1%. The limit of quantification was 1.0 µg kg−1 for all analytes. None of the 60 milk samples commercially available in Tokyo contained any analytes. This novel method exhibited high-quality performance and can easily be implemented for the routine monitoring of carbapenems, which are highly polar antibiotics in milk.

The role of the working memory storage component in a random-like series generation.

People are not equipped with an internal random series generator. When asked to produce a random series they simply try to reproduce an output of known random process. However, this endeavor is very often limited by their working memory capacity. Here, we investigate the model of random-like series generation that accounts for the involvement of storage and processing components of working memory. In two studies, we used a modern, robust measure of randomness to assess human-generated series. In Study 1, in the experimental design with the visibility of the last generated elements as a between-subjects variable, we tested whether decreasing cognitive load on working memory would mitigate the decay in the level of randomness of the generated series. Moreover, we investigated the relationship between randomness judgment and algorithmic complexity of human-generated series. Results showed that when people did not have to solely rely on their working memory storage component to maintain active past choices they were able to prolongate their high-quality performance. Moreover, people who were able to better distinguish more complex patterns at the same time generated more random series. In Study 2, in the correlational design, we examined the relationship between working memory capacity and the ability to produce random-like series. Results revealed that individuals with longer working memory capacity also were to produce more complex series. These findings highlight the importance of working memory in generating random-like series and provide insights into the underlying mechanisms of this cognitive process.

Formation of the readiness of future officers to perform assigned tasks with an emphasis on the use of highly functional complexes of physical exercises

Today, improving the system of professional training of future officers of institutions of the security and defense sector of Ukraine is a priority task. The development of modern methods, organizational and pedagogical conditions, the construction of effective and highly functional pedagogical models contributes to the intensification of the training of officer personnel, which will ensure in the future the effective, high-quality and reliable performance of assigned tasks by them and subordinate personnel.
 Research methods: idealization, formalization, axiomatic, historical and logical, descent from concrete. In the process of research and experimental work, the experience of combat operations was used, as well as the experience of organizing the system of physical and special physical training of servicemen of institutions of the security and defense sector of Ukraine. The main tasks of scientific research: to conduct an analysis of scientific-methodical and special literature in the direction of forming the readiness of future officers for professional activity; to conduct an analysis of special and reference literature in the direction of organizing the system of physical and special physical training of representatives of the studied category.
 As a result of a theoretical study, the members of the scientific research group developed organizational and pedagogical conditions for the formation of the readiness of future officers of the institutions of the security and defense sector of Ukraine to perform assigned tasks with an emphasis on the use of highly functional complexes of physical exercises (in the system of special physical training).

Middle-level management capability in Central Kalimantan Regional Police

Middle-level managerial capabilities in the Central Kalimantan Regional Police could also be referred to as relevant role capabilities for members who hold managerial positions at each level of the Resort Police and Sector Police. The Middle Officer's capabilities consisted of the quality of impact and influence ability, achievement drive, cooperation, analytical thinking, initiative, developing others, self-confidence, understanding others, direction/assertiveness, information seeking, team leadership, conceptual thinking, organizational awareness and fostering relationships, and specific knowledge capabilities. This study aimed to analyze middle-level management capability in Central Kalimantan Regional Police. Police as a modern organization in general also expect to have human resources who were proactive and show initiative, had responsible for their own professional development, and committed to high quality performance standards. Police in middle-level management capabilities were qualities and actions that the main characteristics of professional people at the level of Middle Officers. The conclusion of this study explained that the development of middle-level management capabilities in the human capital personnel of the Central Kalimantan Regional Police, especially at the Resort Police level, was one of the main focuses for balancing external developments that adapted to internal conditions within the police institution. external developments which were bureaucratic reforms carried out and seeing these challenges, while internal conditions in the form of the institution's ability to map personnel and direct human capital capabilities to be able to win the competition and demands for quality police performance also require serious efforts to make it happen because the performance The current police bureaucracy was suspected to have not shown optimal performance.

Bidirectional Chaotic Synchronization Communication of Closed-Loop Mutually Coupled Nano-Lasers

It is well known that the dynamical characteristics of nano-lasers (NLs) have been extensively studied, but there is limited research on chaotic synchronization communication. In this paper, we propose a closed-loop system of mutually coupled NLs. Firstly, the autocorrelation function is employed to evaluate the capability of the system to conceal the time-delayed signature (TDS), and then, based on this, we specifically analyze the effects of the injection strength, frequency detuning, and parameter mismatch of two NLs on the chaotic synchronization performance, as well as the bidirectional communication. The detailed studies indicate that the proposed closed-loop mutually coupled system based on NLs can achieve high-quality chaotic synchronization with a low TDS and large bandwidth. In addition, the system maintains high-quality chaotic synchronization and communication performance even under significant parameter mismatch.

Project Delivery Models: Experiences from the Queensferry Project

Project delivery model impacts the results of the projects regardless the type. This paper discusses about the elements of a project delivery models used in Queensferry Crossing project and how such elements impacted the project in the planning, design, and construction phases in terms cost, quality, and time. This project is considered as one of the successful projects as the project was delivered on time, under the estimated budget with high quality of performance. This paper has investigated and documented the main reasons why the project was a successful in terms of cost, quality, and time. For gathering data, several ways have been followed such as literature study, document study interviews with two highly involved person from the project, workshops with the project team and the Queensferry Crossing site visit. This paper discusses four project delivery model elements to investigate the case project. Organization form has been studied to know the organization of the project was structured, Project structure has been studied to know how the project has been planned from the initiation to the completion and the Procurement been studied to learn more about the procurement process throughout the planning, design, and construction period. Lastly, the Agreement format of the project that has also been studied to know how different contracts has been used in the project. This paper also discusses lessons learned from the project. This study calls for future research on project delivery models and generate a big question whether the project delivery models should be situational or fixed for all projects which means once a project leads to success should the organization continue that model to the other projects too or not.

Assessing Operational Performance Outcomes in Rural Entrepreneurship

Despite the popularity of businesses in rural environments, research on rural entrepreneurship is still sparse. Little is known about the operational performance of new rural ventures, which is a fundamental aspect for the competitiveness of any business. This research evaluates operational performance outcomes in rural entrepreneurship - Delivery, Flexibility, Production Cost, Product Quality. The results show that the ventures have a high performance in delivery and product quality, and medium performance in flexibility and cost of production. These findings can be useful to rural entrepreneurs and policy makers to improve operational performance and competitiveness. This article sheds light on the understanding of operational performance in rural entrepreneurship and provides valuable findings that can direct future research.

Imaging and spectrometric performance of SiC Timepix3 radiation camera

A Schottky barrier radiation detector and pixel imaging sensor fabricated from epitaxially grown SiC semiconductor were analyzed. The detector was based on an 80 μm thick epitaxial SiC layer. Capacitance-voltage measurement was performed to study the thickness of the space charge region of the detector as a function of applied bias. The results showed that the detector was completely depleted at a reverse bias higher than 300 V. The impurity concentration profile was also calculated, which indicated a net impurity concentration below 1.5×1014 cm-3. A prototype of a SiC Timpix3 radiation camera was fabricated, and its energy resolution was investigated using the 241Am radioisotope. The camera exhibited an energy resolution of 4.5 keV for 60 keV gamma photons. X-ray fluorescence photons (from 14 keV to 22 keV) were detected with a resolution below 2.0 keV. The imaging quality of the camera was investigated using a test object. The prototype showed a high-quality image performance with a stable count rate, which was determined from uniform intensity profiles extracted from parts of the test object image. A disadvantage of this prototype is that the radiation hits the detector from the side of the substrate and only then it reaches its active SiC epitaxial layer. This represents a dead layer that reduced the detection efficiency of X-rays below 10 keV.

Unveiling the Strategic Planning of Teachers, Performance Task Outcome and Learning Style of Students

Setting goals, agreeing on steps to accomplish those goals, and mobilizing the resources required to carry out those activities are all parts of strategic planning. Strategic planning plays a big role in students’ performance tasks. This research aims to identify and investigate potential answers to a fantastic strategic plan for teachers that assists students in attaining greatness in their performance assignments despite various learning styles. Researchers focused on investigating the relationship between strategic planning and the performance task results of diverse students. Fifty students from Bula can State University with a Bachelor of Secondary Education major in Mathematics have partaken in this study. Pearson r correlation was used as a correlation statistic and regression analysis to see the significance of the relationship between the variables. The teaching style that is more dominant among teachers is the Learner-Centered style. Implementing teachers’ strategic planning inside the classroom as to students’ learning styles and performance tasks is well implemented. It has been revealed that the majority of the students with a course of Bachelor of Secondary Education major in mathematics are read/write learners. There is no significant relationship between career/future-ready and high-quality instruction, strategic planning, and performance tasks of diverse students. Researchers recommend teachers focusing more on high-quality instruction since career/future-ready is more dominant in the research findings.