https://altumnova.com/index.php/tsir <p>Technical Science Integrated Research (ISSN 3051-3855) is a peer-reviewed academic journal dedicated to the publication of original research, theoretical studies, and practical developments in the broad field of technical sciences. The journal seeks to bridge diverse disciplines such as engineering, applied physics, computer science, materials science, and industrial technologies by fostering an integrated approach to solving contemporary scientific and technical challenges. Emphasizing interdisciplinary collaboration and innovative methodologies, the journal provides a platform for scholars, practitioners, and industry experts to present advancements that contribute to the development of effective, sustainable, and technologically-driven solutions. With a focus on both fundamental investigations and real-world applications, Technical Science Integrated Research aims to support scientific excellence and encourage the translation of research findings into impactful technologies and systems across various sectors.</p> en-US Technical Science Integrated Research 3051-3855 https://altumnova.com/index.php/tsir/article/view/67 Age diversity has become a central issue in contemporary human resource management because organizations increasingly employ workers from different life stages, career stages and generational cohorts at the same time. However, existing research does not present a simple positive or negative conclusion about age diversity. Some studies associate age-diverse workplaces with stronger knowledge resources, innovation and productivity, while others report coordination difficulties, stereotypes and lower cohesion when age differences are poorly managed. This article therefore uses a systematic literature review (SLR) to synthesize recent evidence published from 2020 to 2026 on the relationship between workplace age diversity and organizational outcomes. The SLR is appropriate because the purpose of the article is not to test a new statistical relationship with primary data, but to map existing studies, compare their findings and identify the conditions under which age diversity supports or weakens performance. Following PRISMA 2020 logic, 486 records were identified, 383 were screened and 28 studies were included in the qualitative synthesis. The review answers two research questions: first, how recent literature on age diversity is distributed across methods, contexts and themes; and second, how age diversity affects organizational outcomes through mediating and moderating factors. The findings show that age diversity contributes positively when organizations create age-inclusive HR practices, psychological safety, structured mentoring and bidirectional knowledge transfer. Negative outcomes are more likely when age stereotypes, weak leadership and poor communication make age differences socially salient. The article contributes by integrating mixed findings into a contingency-based framework and by offering practical recommendations for managers of multigenerational teams. Abdulloh Muxamedov Inomjon Qudratov Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0 2026-05-09 2026-05-09 2 5 3 17 https://altumnova.com/index.php/tsir/article/view/68 This study presents the development of adaptive filtering and artifact removal algorithms for cardiac signal processing in electrocardiograph and Holter monitoring systems. Electrocardiography is one of the most important non-invasive diagnostic methods for evaluating cardiac electrical activity, detecting rhythm abnormalities, identifying ischemic changes, and monitoring long-term heart function. However, ECG signals acquired in clinical and ambulatory environments are often affected by different types of noise and artifacts, including baseline wander, power-line interference, muscle activity noise, electrode motion artifacts, and motion-related disturbances. These interferences can distort the morphology of the P wave, QRS complex, ST segment, and T wave, thereby reducing diagnostic reliability. To address these challenges, this study proposes a multi-stage adaptive signal processing framework for ECG and Holter systems. The proposed methodology includes raw ECG acquisition, signal quality assessment, artifact classification, adaptive baseline wander suppression, power-line interference reduction, motion artifact cancellation, muscle noise attenuation, and final reconstruction of the clinically relevant ECG waveform. Adaptive algorithms such as LMS, NLMS, RLS, wavelet-based denoising, and hybrid deep learning-supported approaches are considered within the proposed framework. The results demonstrate that adaptive filtering methods can significantly improve ECG signal quality while preserving diagnostically important waveform components. In Holter monitoring systems, where signals are recorded continuously over long periods under variable motion conditions, adaptive and hybrid artifact removal approaches are especially important. The proposed algorithmic framework can improve diagnostic accuracy, support automated arrhythmia detection, and enhance the reliability of long-term cardiac monitoring systems. I.N.Abdullayev N.S.Yusupova F.Q.Shakarov D.A.Umarova R.M.Nazirov Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0 2026-05-09 2026-05-09 2 5 18 26 https://altumnova.com/index.php/tsir/article/view/69 This article examines the synthesis of metal oxide thin films using sol-gel, deposition, and spray pyrolysis methods. Analysis of sol-gel precursor viscosity shows that 12 hours of aging is optimal for high transparency, while 8 hours is best for achieving low electrical resistance. The study also establishes parameters for spray pyrolysis at 420C and utilizes Antimony doping to produce high-quality films as alternatives to ITO. These results are recommended for the fabrication of structural elements in field-effect transistors. Z.M.Sokhibova Copyright (c) 2026 https://creativecommons.org/licenses/by/4.0 2026-05-09 2026-05-09 2 5 27 31