Technology Research Research Articles

Research and Progress of Inorganic Infrared Electrochromic Materials and Devices.

Electrochromic materials can dynamically change their optical properties (such as transmittance, absorbance, and reflectance under the action of an applied voltage, and their research and application in the visible band have been widely concerned. In recent years, with the continuous development of electrochromic technology, the related research has been gradually extended to the infrared region. This invited review aims to provide an overview of the current status of several inorganic infrared electrochromic materials, to provide some references for future research, and to promote the research and application of electrochromic technology in the infrared region. This review summarizes various research results in the field of infrared electrochromic, which includes a detailed literature review and patent search. Starting from the key performance parameters and device structure characteristics of infrared electrochromic devices (ECDs), the research and progress of several types of inorganic infrared electrochromic materials, including metal oxides, plasma nanocrystals, and carbon nanomaterials, are mainly presented, and feasible optimization directions are also discussed. We believe that the potential of these materials for civilian and military applications, for example, infrared electrochromic smart windows, infrared stealth/disguise, and thermal control of spacecraft, can be fully exploited by optimizing the materials and their devices to improve their performance.

Advancements in printed components for proton exchange membrane fuel cells: A comprehensive review

Proton Exchange Membranes (PEM) are a promising technology for fuel cells and electrolyzer cells, in line with societal goals for clean and sustainable fuel conversion and generation, respectively, in a vast field of applications. PEM fuel cell (PEMFC) technology has an important advantage for energy conversion applications, because it requires a lower operating temperature and is lighter and more compact than other technologies, which makes it ideal for portable and transportation applications. However, open issues remain to be addressed for PEMFC that hinder their widespread adoption, both on the technical side, such as too high operational temperature range, cell efficiency, and long-term stability, as well as on the industrial side with implementation issues, material and device component availability, and cost. PEM technology research usually focuses on the synthesis of novel materials such as non-noble metal catalysts and non-halogenated membranes. In parallel, developing high-throughput and cost-effective manufacturing methods for components, in particular Membrane Electrode Assembly (MEA), can also lift an important barrier to their mass production, thus contributing to the same goals and securing industrial provision. From this perspective, printing technologies such as spray coating, inkjet printing, and screen printing have emerged as promising approaches with the required precision and scalability. This review covers recent advancements and developments in advanced PEMFC technology manufacturing, with a focus on 2D printing methodologies to fabricate some or all of the MEA components. Leveraging these techniques as simplified large-area manufacturing methods for PEM technology can become a more viable and industrially attractive solution. This work presents a comparison study addressing the key progress indicators both in process and in characterization to build a working framework in which both scientists, engineers and manufacturers can collaborate toward the industrial implementation of this emergent field.

Đặc điểm lâm sàng và hiệu quả điều trị của liệu pháp oxy cao áp ở bệnh nhân chóng mặt ngoại biên

This paper presents “Clinical characteristics and therapeutic efficacy of hyperbaric oxygen therapy in patients with peripheral vertigo” to determine the clinical features of peripheral vertigo and its therapeutic efficacy. The study was carried out at Hyperbaric Oxygen Center (Southern Branch of Joint Vietnam-Russia Tropical Science and Technology Research Center) from October 2021 to December 2022, with 60 patients, divided into 2 groups. Group 1 consisted of 30 patients was treated with hyperbaric oxygen therapy (HBOT) and group 2 consisted of 30 patients was treated with HBOT and drugs (vestibular inhibitors, antiemetics and brain tonics). The results showed that: vertigo often occured when changing head position, vertigo accompanied by nausea, loss of balance. After the treatment, the group treated with HBOT and drugs, the patient's condition improved better, the level gradually increased with HBOT. In the group treated with HBOT and drugs, the mean score before treatment was 12.5 points, after 10 days of treatment was 4.37 points, after 20 days of treatment decreased to 0.63 points and after 30 days of treatment to 0.27 points. Particularly, in the group treated with HBOT, this rate was 12.33 points, respectively; 6.37 points; 2.1 points and 0.97 points (p < 0.05).

Deep learning for audio signal-based tempo classification scenarios

This article explains how to determine the tempo of the kendhang, an Indonesian traditional melodic instrument. This research presents novelty as technological research related to gamelan instruments, which has rarely been achieved thus far, through the introduction of kendhang tempo types through the sounds produced, with the hope of creating an automatic system that can recognize the kendhang tempo during a gamelan performance. The testing in this work will categorize the tempo of kendhang into three categories: slow, medium, and fast, utilizing one of the two scenario models proposed, mel frequency cepstral coefficients (MFCC) and convolutional neural network (CNN) in the first scenario, and mel spectrogram and CNN in the second. Kendhang's original audio data, which was captured in real time and later enhanced, makes up the data set. The model 1 scenario, which entails feature extraction using MFCC and classification using the CNN classification approach, is the best scenario in this research, based on the experimental results. When compared to the other suggested modeling scenarios, model 1 has a level of 97%, an average accuracy, and a gain value of 96.67%, making it a solid assistant in terms of kendhang's good tempo recognition accuracy.

An evaluation of current technology in supply chain management

This research presents a scoping review of the evaluation of current technology that is being used in SCM by analysis of existing studies and contemporary concepts on this topic. A methodology based on a scoping review approach in the subject discipline was organized to carry out this research. Two databases and one search engine were searched for journals from 2019 to 2023 using relevant keywords designed for the study. Information regarding research designs, year of publications, publication authors, and findings of each study were documented. Out of the obtainable preliminary 70 studies extracted from the selected databases, only 44 research papers were accepted to meet the exclusion and inclusion criteria delineated for this study, where 45 % of papers were published between 2020–2021. Five different technological research areas were addressed in this scoping review. The major technology areas were AI and the IoT, followed by Data analytics and Big data IoT, and last but not least, Blockchain technology. The main obstacles to applying technology to SCM include change management, human reception/acceptance of these technologies, technical knowledge of the workforce already in place, and the significant costs associated with implementing these solutions. Leveraging technology improves customer happiness, reduces errors, and increases organizational responsiveness. Less crucial but still important are the difficulties in locating qualified workers and the possibility that technology will surpass human performance. However, there is undeniable proof that technology has many benefits; when applied wisely, businesses can benefit greatly from this new technology.

Status Quo of Artificial Intelligence’s Role in the HRM Operations

Coexistence of technology and business dates back to the late 18th century when the first ever use of a computer was for recording the census by the US government in 1890. The use of technology in business can be ascribed to different organisations in the different nations on the parallel lines of time. It includes invention of cash machines and their use by Barclays in England in the early 1960s, the induction of telephone-based modems for order management by Baxter Pharmaceuticals and use of small desktop computing device called Minitel for processing customer orders in France were the other notable developments in the history of coexistence of technology and business. Increasing operations in the business functions have created an urge for the technological innovation in the industry to handle the operations electronically. Figueiredo and Cohen (2019) say that technology has become an indispensable component of every business function by delivering ease in operations and productivity. The end of the 20th century had witnessed the leaping progress in computing in the form of artificial intelligence (AI) performing the tasks that were unimaginable to comprehend a decade back in time. Developments in the technological research and development prove that organisations have started inducting AI into as many fields as possible at a considerable pace. As a part of the shifting technological dynamics in the industry HR function has also transformed digitally. Tools like enterprise applications have forayed intensely into the operations of human resources management (HRM). These enterprise resource planning (ERP) tools remain to primarily serve the integration of HRM to the other functions. However, enterprise tools could not serve the purpose of supporting decisiveness in the areas of HR planning, workforce design and performance management at large. However, Tuck (2019) argues that AI is assuming increased responsibilities in the different sections of the society and business including the HRM function. At present, the amount of knowledge on the status quo of the role of AI in the HRM functions is scarcely available. Literature related to this disruptive technology in the HR function is still at the nascent stage. This study will examine the role of AI as a key component in the HRM function, which is regarded to be highly human-driven.

Standardization of Optimum Grading Sieve Size for Seed Processing in Black Gram [Vigna mungo (L.) Hepper] Varieties

Background: The seeds harvested from the field may not be homogenous in seed size, physical purity and viability in Black gram. Seeds are to be cleaned and graded using seed processing machineries to maintain uniformity of a seed lot. Every variety is having its individuality in seed size. Hence, the common recommendation of 2.8 mm sieve size recommended by Indian Minimum Seed Certification Standards (IMSCS) for grading black gram seeds may not be suitable to recover a maximum quality seeds in all varieties while processing. The present study was carried out to identify a suitable grading sieve size for newly released black gram varieties for getting good quality seeds with better seed recovery during processing. Methods: The study was conducted at Seed Technology Research Unit, Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Karaikal during the year 2020-2023. The experiment was laid out in completely randomized design with four replications. Four newly released black gram varieties viz., ADT 6, VBN 8, VBN 10 and VBN 11 were taken for the study. Specified quantities of unprocessed seeds have been sieved using slotted sieves of three sizes above (3.4 mm, 3.2 mm and 3.0 mm) and two sizes below (2.7 mm and 2.5 mm) the recommended sieve size of 2.8 mm for black gram varieties as per the IMSCS. The seeds retained over each sieves were collected separately and tested for seed quality parameters. Result: The results revealed that the seed recovery percent increased with decrease in sieve size while the seed quality parameters found higher with increase in sieve size.The sieve size of 2.7 mm (slotted) registered the maximum cumulative seed recovery of 87% and 89.9%, respectively in Black gram seeds of cv. ADT 6 and VBN 10 along with required seed standards. However, seeds retained from the sieve size of 3.0 mm (slotted) registered the maximum cumulative seed recovery of 91.2% and 87.5%, respectively in VBN 8 and VBN 11 with requisite seed germination and physical purity as per the IMSCS (75% and 98%). Hence, it is suggested that the sieve size of 2.7 mm may be considered as grading sieve size for seed processing in Black gram seeds of cv. ADT 6 and VBN 10 and 3.0 mm may be used as grading screen (Bottom screen) for VBN 8 and VBN 11 for getting good quality seeds with higher seed germination, physical purity and pure live seeds.

Variety Breeding Studies on Hesperis isatidea (Boİss.) D.A. German & Al-Shehbaz

Hesperis isatidea (Boiss.) D.A.German & Al-Shehbaz, a member of the Brassicaceae family, represents a distinctive natural species characterized by its fragrant, conspicuous inflorescences, unique flower coloration, and distinct feather-like foliage. The Turkish name of the species is known as “Allı Gelin”. This species is native, exhibiting resilience to drought conditions and requiring minimal care. Cultivation studies on this species were carried out at Erzincan Horticulture Research Institute (Turkey) with project number 106G022 within the scope of TÜBİTAK (Turkish Scientific and Technological Research Council). The research aimed to determine optimal production techniques through generative and vegetative propagation methods. The project, initiated in 2013 and concluded in 2022, focused on developing a cultivar of the Allı Gelin plant using texel selection breeding techniques. Thirteen populations of Allı Gelin from institute's gene pool were utilized. Employing the Texel Selection method, four distinct lines were identified: compact, tightly spread compact, pyramid1and pyramid-2 shaped. Subsequent baby plant tests revealed stability in the tightly spread compact and pyramid-1 lines, leading to their selection for further breeding. Although breeding efforts continued on the compact line, the pyramid-2 line was discontinued due to an inability to attain the desired stability. The successfully tested variants, namely the pyramid-1 and tightly spread compact forms, have been earmarked as candidates for outdoor ornamental plant varieties. Registration procedures for these candidates are underway. These new varieties promise to enrich diversity within the ornamental plants sector, potentially enhancing competitiveness in foreign markets.

New energy vehicle technology research - Charging technology

In recent years, Chinas economic development is becoming more and more rapid, leading to the increasingly serious pollution emission problem of traditional fuel vehicles. In order to solve the environmental problems, the transformation of automobiles has become an urgent problem. At the present stage, electric vehicles are also widely concerned by all sectors of society because of their low carbon emissions, energy saving and low use cost. With the rapid growth of electric vehicle sales, the demand for charging piles is rising, and the mainstream charging facilities for new energy vehicles are still in short supply. Therefore, we need to focus on efficient wireless charging to solve the major problems in the current electric vehicle industry. This paper analyzes the wireless dynamic energy transmission technology, extending the service life of the battery, how to reduce the cost, the optimization of coil parameters design, the offset of transmission coil and receiving coil, foreign body detection and overheating problems.

Global trends and hotspots of ChatGPT in medical research: a bibliometric and visualized study

ObjectiveWith the rapid advancement of Chat Generative Pre-Trained Transformer (ChatGPT) in medical research, our study aimed to identify global trends and focal points in this domain.MethodAll publications on ChatGPT in medical research were retrieved from the Web of Science Core Collection (WoSCC) by Clarivate Analytics from January 1, 2023, to January 31, 2024. The research trends and focal points were visualized and analyzed using VOSviewer and CiteSpace.ResultsA total of 1,239 publications were collected and analyzed. The USA contributed the largest number of publications (458, 37.145%) with the highest total citation frequencies (2,461) and the largest H-index. Harvard University contributed the highest number of publications (33) among all full-time institutions. The Cureus Journal of Medical Science published the most ChatGPT-related research (127, 10.30%). Additionally, Wiwanitkit V contributed the majority of publications in this field (20). “Artificial Intelligence (AI) and Machine Learning (ML),” “Education and Training,” “Healthcare Applications,” and “Data Analysis and Technology” emerged as the primary clusters of keywords. These areas are predicted to remain hotspots in future research in this field.ConclusionOverall, this study signifies the interdisciplinary nature of ChatGPT research in medicine, encompassing AI and ML technologies, education and training initiatives, diverse healthcare applications, and data analysis and technology advancements. These areas are expected to remain at the forefront of future research, driving continued innovation and progress in the field of ChatGPT in medical research.

Unveiling the Shadows: Overcoming Bottlenecks in Scaling Organic Photovoltaic Technology from Laboratory to Industry

AbstractOrganic photovoltaic (OPV) technology has recently achieved remarkable progress in academia, attaining power conversion efficiencies exceeding 19%, a breakthrough previously unimaginable. Despite these advancements, the translation of high‐efficiency OPV cells into the commercialization of OPV modules has been limited, impeding the market penetration of OPV technology. Upon careful examination, various challenges emerge, including disparities between laboratory research and industrial production in device architecture, influenced by considerations of cost and manufacturability. Additionally, the incorporation of high‐efficiency materials requires careful consideration not only of the compatibility between the photoactive layer and interface layers or transparent electrodes but also of the associated synthetic complexity of chemical structures and cost implications. While these issues are crucial, they may not be widely discussed in current mainstream research. In this article, the purpose is to identify bottlenecks from a material techniques perspective, with the aim of promoting increased resources in the research of pertinent module technologies. This effort is intended to propel OPV technology toward greater success and bring it into closer alignment with the goals of commercialization.

Diagnosis and treatment of neonatal bacterial meningitis: integrative review

Objective: Understand the pathology and management of neonatal bacterial meningitis, addressing diagnosis and treatment. Methods: An integrative literature review was carried out, following the PICO strategy (population, intervention/exposure, comparator and outcome), with a search in databases such as PubMed and Portal Capes. Observational studies from the last 10 years related to the diagnosis and treatment of bacterial meningitis in neonates were included. Result: The main results highlighted the importance of cerebrospinal fluid (CSF) analysis in diagnosis, the appropriate choice of antibiotics such as ceftriaxone, and advanced diagnostic methods for early identification of the disease. Furthermore, infectious agents associated with meningitis and effective therapeutic strategies were discussed. Conclusion: A multidisciplinary approach, simple clinical indicators, CSF analysis and appropriate antibiotic treatment are crucial for an accurate diagnosis and effective management of neonatal bacterial meningitis. It is necessary to continue research and development of new technologies to improve the management of this critical condition, especially in regions with limited resources, aiming to improve clinical outcomes and quality of life for patients.

A survey of appearance-based approaches for human gait recognition: techniques, challenges, and future directions

AbstractGait recognition has become an important biometric feature for human identification, in addition to data such as face, iris, and fingerprint. The goal of human gait recognition is to identify people based on walking images. Artificial intelligence technologies have revolutionized the field of gait recognition by enabling computers to automatically learn and extract intricate patterns. These techniques examine video recordings to determine key features in an individual's gait, and these features are used to identify the person. This paper examines the existing appearance-based gait recognition methods that have been published in recent years. The primary objective of this paper is to provide an informative survey of the state-of-the-art in appearance-based gait recognition techniques, highlighting their applications, strengths, and limitations. Through our analysis, we aim to highlight the significant advance that has been made in this field, draw attention to the challenges that have been faced, and identify areas of prospective future research and advances in technology. Furthermore, we comprehensively examine common datasets used in gait recognition research. By analyzing the latest developments in appearance-based gait recognition, our study aims to be a helpful resource for researchers, providing an extensive overview of current methods and guiding future attempts in this dynamic field.

Application and Research of Key Technologies of Big Data for Agriculture

With the rapid development of science and technology, advanced technical means such as information technology have been widely used in various fields of society, realizing the reform and innovation in different fields. Mage data technology, Internet, cloud computing technology and so on have changed people's production and lifestyle, and society has entered a new era of mage data. Combined with the current situation of agricultural development, we should create a mage data training base for enterprises, build a perfect training system, carry out cooperation with colleges and universities, vigorously introduce professional talents, and spare no effort to promote the effective application of mage data technology in the agricultural field. This paper analyzes the importance of the application of mage data technology in the agricultural field, mage data mining analysis provides decision support, and the specific application of mage data technology in the agricultural field. Finally, through k-means algorithm, the industrial scale can be increased to more than 75%.

The triple helix collaboration: lessons from a Chinese provincial innovation ecosystem

Purpose Innovation is vital for sustainable regional development. Government is generally not a source of innovation per se, but the authors shows that by establishing and funding an industrial innovation ecosystem, it can create fertile conditions for research institutions to introduce innovative technologies into industry and for industry to introduce its gaps and needs to motivate and direct academic research. This paper aims to present a case study of the Jiangsu Industrial Technology Research Institute (JITRI) as a “triple helix” collaboration model engaging Industry-University-Research (IUR) institutions. The authors aim to provide a fresh perspective on constructing innovation ecosystems, promoting value creation and advancing the adoption of industrial technology. Design/methodology/approach Taking JITRI as a case study, this research examines its innovative approaches to interfacing with IUR organizations within China’s Yangtze Delta region. The authors propose a multilayered framework where JITRI serves as the core, facilitating the formation of a robust innovation ecosystem with diverse IUR entities. Findings This framework comprises three layers: core, platform and support. JITRI acts as the central nexus, binding these elements together and fostering a cohesive innovation ecosystem. By analyzing the operational mechanisms of the Jiangsu Provincial innovation system, the authors gain valuable insights into how JITRI bridges the gap between academia and industry. This facilitates the efficient commercialization of technologies. The success of the JITRI approach presents a compelling model for emulation by other provincial innovation ecosystems seeking to enhance their innovation capabilities. Research limitations/implications This study enriches the ongoing conversation on innovation ecosystems, proposing novel avenues for further research. However, the field requires continuous monitoring through longitudinal studies. Given the long-term nature of such initiatives, the full impact of this approach might only be realized over several decades. Practical implications JITRI aims to create a robust and innovative provincial innovation ecosystem through its focus on IUR collaboration. This unique approach offers valuable insights and ideas for fostering the development of thriving innovation ecosystems in other provinces. These insights encompass new perspectives on innovation ecosystem development, value creation and industrial advancement. Originality/value This study pioneers the use of the JITRI system as a case study, offering valuable insights with potential application to innovation ecosystems across China and globally.

Unlocking Potential in the Chemical Industry Sector: An Innovative SWOT Analysis Study

Purpose: The chemical industry sector stands at a pivotal juncture, with rapid technological advancements and evolving market dynamics driving the need for innovative strategies. This study aims to unlock the untapped potential within the chemical industry by employing a unique SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis approach. Design/Methodology/Approach: A comprehensive SWOT analysis was conducted using a mixed-methods approach. Quantitative data was gathered through industry reports, market surveys, and financial analyses, while qualitative insights were derived from expert interviews and case studies. Findings/Result: The SWOT analysis revealed significant insights into the current state of the chemical sector. Strengths such as technological innovation and research capabilities were identified, along with weaknesses like regulatory challenges and environmental concerns. Opportunities in emerging markets and sustainable practices were highlighted, while threats including global competition and supply chain disruptions were also recognized. Originality/Value: This study offers a fresh perspective on the chemical industry's potential by combining traditional SWOT analysis with innovative methodologies. It provides actionable insights that industry stakeholders can leverage to drive strategic decision-making and unlock new growth opportunities. Paper Type: Empirical Study

Environmental stewardship in the oil and gas sector: Current practices and future directions

This paper provides an overview of the current practices and future directions in environmental stewardship within the oil and gas industry, focusing on key areas of concern and strategies for improvement. The oil and gas industry has made significant strides in environmental stewardship in recent years, driven by a combination of regulatory requirements, corporate initiatives, and stakeholder pressure. One of the primary areas of focus has been the reduction of greenhouse gas emissions associated with extraction, refining, and transportation processes. Companies have implemented technologies such as carbon capture and storage to minimize their carbon footprint, alongside investments in renewable energy sources and energy efficiency measures to transition towards cleaner energy alternatives. Furthermore, the industry has placed increasing emphasis on the responsible management of water resources, recognizing the potential environmental impacts of water extraction and usage in oil and gas operations. Strategies for water recycling, reuse, and wastewater treatment have been adopted to mitigate pollution and minimize strain on local ecosystems. Biodiversity conservation has also emerged as a critical aspect of environmental stewardship in the oil and gas sector, with companies undertaking environmental impact assessments and collaborating with conservation organizations to minimize habitat disruption and restore ecosystems affected by their operations. Community engagement and social responsibility are integral components of environmental stewardship, with companies seeking to address the social impacts of their operations through employment opportunities, infrastructure development, and social programs benefiting local communities. However, the industry continues to face challenges and limitations in its efforts to minimize environmental impact. Accidental spills, leaks, and other incidents pose significant ecological risks, highlighting the importance of stringent safety regulations and emergency response protocols. Moreover, the transition to renewable energy presents challenges for traditional oil and gas companies, requiring substantial capital investment and strategic planning. To address these challenges and advance environmental stewardship, several future directions are proposed. These include accelerating the transition to renewable energy, enhancing transparency and accountability in reporting environmental performance, strengthening environmental regulations and enforcement, investing in research and development of innovative technologies, and fostering collaboration among industry stakeholders, governments, NGOs, and local communities. Keywords: Stewardship, Oil, Gas, Sustainability, Climate, Mitigation

Computational fluid dynamics numerical simulation of flue gas emission from stack and tower integration system of coal-fired power plant

ABSTRACT The method of Computational Fluid Dynamics (CFD) simulation has been extensively employed in the stack and tower integration technology (STIT) research; however, a significant number of studies overlooked the impact of thermal buoyancy on the external flow field of cooling tower. In light of this, an improved approach is proposed in this study. A model of a cooling tower and its surrounding flow field was established, and its reliability was confirmed too. Based on our model, the performance of three enhancement strategies under various crosswind speeds and ambient temperatures was simulated. The results indicate that all three enhancement strategies can effectively simulate the effects of thermal buoyancy. In the simulations, the elevation of the flue gases increased from 306 m to either 426 m or 476 m. In the present study, ambient conditions characterized by crosswind speeds below 4 m/s and temperatures below 297.15 K were deemed suitable for the dispersion of stack and tower integration (STI) flue gases. A power function distribution was identified between crosswind speed and the mean height of the plume, while a linear relationship was observed between ambient temperature and the mean height of the plume.

Bibliometric Analysis of Fintech Trends

The significant significance that the fast growth of financial technology (Fintech) has had in the creation of numerous academic research is clear. The patterns, impacts, and prospective future directions of this phenomenon that is changing the industry have been the focus of several studies. To gain a better understanding of the current developments in the financial technology industry, we conduct a survey of the academic publications that correspond to them as part of our comprehensive bibliometric study. Our research in the area of financial technology (Fintech) makes use of bibliometric techniques to examine trends in publication, citation networks, and subject clusters. Our major focus is a massive dataset that spans many years and includes data from economics, computer science, and finance. Notable authors, major publications, and new categories are illuminated by the most significant findings in the field of financial technology research. When we set out to conduct this research, we hoped to fill knowledge gaps, paint a full picture of the ever-changing fintech industry, and increase our familiarity with this extraordinary sector. Keywords: Fintech, bibliometric analysis, trends, financial technology, citation networks, scholarly literature, research themes, interdisciplinary, systematic approach.

Schools’ Technological Research Services Towards Teachers’ Career Professional Development

This study assesses the level of technological research services provided by schools and their impact on teachers’ careers and professional development. It aims to identify significant differences in these aspects based on school types and teachers’ demographic profiles. The study utilized a concurrent mixed-research design and involved 212 junior and senior high school teachers from the Technical-Vocational and Livelihood (TVL) track in selected secondary schools across the Zamboanga Peninsula. The findings indicated that schools in the Zamboanga Peninsula generally provided technological research services that moderately satisfied teachers. These services contributed to enhancing teachers’ knowledge, upgrading their skills, and emphasizing attitudes and ethical standards. The study concluded that schools’ technological research services significantly influenced teachers’ career and professional development, with no significant differences based on school types or teachers’ demographic profiles. Based on these findings, an intervention plan was proposed, including a school-based management plan, a training development plan, and a contingency plan. These interventions are intended to improve services and support teachers’ career and professional growth. The study also recommended integrating technology into educational research services to foster a culture of research, aligning with DO No. 16, S.2017. Keywords: Schools’ technological research services, admission process, training, consultation, evaluation, utilization, teachers’ career and professional development, knowledge, skills, attitude, ethical standards