Spinel-structured ZnMn2O4 has attracted considerable attention as a promising material for supercapacitors and other secondary energy storage devices due to its environmental friendliness, low toxicity, and decent electrochemical performance. However, its practical application is hindered by intrinsic drawbacks such as low electrical conductivity and manganese dissolution from the crystal lattice. In the present study, these limitations are addressed by partially substituting Mn with Fe to form Zn(Mn2-xFex)O4 (where x = 0.4, 0.8, 1.2, or 1.6). This material was synthesized via a hydrothermal method and subsequently fabricated into electrodes for use in hybrid supercapacitor devices. Electrochemical analysis using a three-electrode system revealed that Zn(Mn1.2Fe0.8)O4 has the highest specific capacitance of 374 F/g at a current density of 0.1 A/g, with a b-value of 0.811, thereby indicating a highly capacitive-dominant energy storage mechanism. When applied in a full hybrid supercapacitor device, the system achieved a specific capacitance of 121.44 F/g at 0.1 A/g, and retained 70 % of its capacitance after 1,000 charge-discharge cycles at 1 A/g. These results demonstrate the potential of Zn(Mn2-xFex)O4 as a viable electrode material for high-performance hybrid supercapacitors.

This longitudinal case study examines how a non-specialist English for Specific Purposes (ESP) instructor, trained in English education but with limited disciplinary expertise in Bio-Health, designed and refined an ESP course through the integration of generative AI over a three-year period (2023–2025). Using a mixed-methods approach, the study analyzed changes in instructional design practices and student perceptions. Data sources included annual student surveys, instructional materials, and the instructor’s reflective journals. Findings indicate that generative AI functioned as an external cognitive resource that reduced disciplinary content burden and supported instructional decision-making. Over time, instructional focus shifted from compensating for content limitations to structuring learning experiences through AI-supported design decisions, particularly in reading, vocabulary instruction, and project-based learning. Student perceptions of course effectiveness and major relevance increased, with the most positive evaluations following AI-supported project implementation in 2025. These changes are conceptualized as AI-mediated hybrid expertise, referring to professional knowledge in which pedagogical expertise is reconfigured through AI-supported access to disciplinary knowledge.

This study investigates hybrid propulsion for UAM & AAM as demand shifts toward short-range urban and suburban mobility enabled by advances in lightweight aircraft technologies. Urban low-altitude operations with frequent takeoffs and landings under stricter noise regulations require both high propulsion efficiency and low acoustic emissions. While electric propulsion provides precise controllability and low vibration, limitations in battery energy density and charging infrastructure constrain range, endurance, and turnaround. Hybrid propulsion can mitigate these constraints by combining the high energy density of fuel with the motor’s low-noise, fast-response operation. Accordingly, this study quantitatively compares thrust performance and noise spectra of an identical propeller when driven by an electric motor versus an internal combustion engine, providing baseline evidence to support hybrid propulsion system design.

This study presents a standalone diagnostic device for HEV high-voltage battery packs that communicates directly with the BMS outside the vehicle and enables quantitative verification of BMS SOC and SOH outputs. The prototype, developed for a Renault CMA HEV pack, activates the BMS via the low-voltage harness, reads key variables such as SOC, SOH, cell voltage and temperature, and pack voltage and current over CAN, and safely controls the pack’s high-voltage relay. Using a pack reported as 100% SOH by the BMS, constantcurrent discharge at about a 0.1 C-rate was performed in the SOC range from 30% to 45%, and for 5, 10 and 15-minute segments the usable energy estimated from the BMS SOC and the rated capacity showed mean values around 1.54kWh with a coefficient of variation of approximately 2-3%. The proposed BMS-linked evaluation equipment estimates the usable capacity within a tolerance consistent with the manufacturer’s nominal specification and can serve as a practical basis and tool for second-life evaluation of used high voltage battery packs.

This study investigates the repeated impact behavior and compression-after-impact (CAI) performance of triaxially braided carbon/glass fiber-reinforced polymer (C/GFRP) composite tubes. A two-stage experimental strategy was proposed to evaluate the synergistic effect of interlayer hybridization and axial yarn reinforcement on damage evolution and mechanical performance. In Stage I, six hybrid braided tubes with different carbon/glass stacking configurations—including pure carbon, pure glass, layered, and reversed-layered structures—were subjected to repeated low-velocity impacts at 31 J. Micro-CT was employed to reconstruct the internal damage morphology and assess damage accumulation. The optimal interlayer configuration was selected based on impact force, displacement, energy absorption, and internal failure characteristics. In Stage II, the selected structure was further reinforced with four types of axial yarns (none, carbon, glass, and carbon/glass alternating), and their axial compressive and CAI performance after 10 J impact was tested. Results revealed that reversed interlayer design effectively suppressed crack propagation and improved damage tolerance under cyclic impacts. Moreover, the inclusion of hybrid axial yarns significantly enhanced residual compressive strength without compromising energy absorption. This study establishes a lightweight, high-performance braided tube design strategy suitable for aerospace and transportation applications.

Fluorinated carbons ( CFX) are promising cathode materials for lithium primary batteries due to their high energy density, yet suffer from poor electronic conductivity. Manganese dioxide ( MnO2), on the other hand, offers superior rate capability, but limited capacity. Here, we design MnO2/ CFx hybrid cathodes by combining MnO2 with CFX materials synthesized at controlled fluorination levels (x = 0.4–1.0) to synergistically optimize both energy and power performance. Structural and spectroscopic analyses reveal that moderate fluorination (x = 0.6) induces a favorable balance of semi-ionic C–F and interfacial O–F bonds, enhancing electron delocalization and charge transfer at the MnO2/ CFX interface. In contrast, excessive fluorination (x ≥ 0.8) leads to the formation of electrochemically inert C–F2 and C–F3 species, suppressing redox kinetics. As a result, MnO2/ CFX-0.6 delivers a discharge capacity of 390 mAh g–1−1 at 0.05 C and retains 182 mAh g–1−1 at 4 C, outperforming both pristine MnO2 and other CFX variants. This work establishes interfacial fluorine bonding configuration, not just bulk F/C ratio, as a critical design parameter for high-performance hybrid cathodes.

최근 국민 삶의질 향상, 인구구조 변화 등에 따라 관광수요가 증가하고 관광활동 또한 다양화되고 있다. 특히 국가어항은 단순 한 어업 활동의 거점을 넘어 지역 경제, 관광, 문화까지 아우르는 복합 기능 공간으로 활용되고 있다. 본 연구는 부산 기장군에 위치한 대 변항을 대상으로 관광수요를 예측함으로써 정책적 활용이 가능한 기초자료를 제공하고자 한다. 2015년부터 2024년까지의 월별 위치 기반 방문객수를 입력 데이터로 설정하여 시계열 예측을 수행하였다. 연구방법론으로 전통적인 통계방법인 SARIMA를 기준으로 예측 정확도 를 향상시키기 위해 Hybrid model을 활용하였다. 특히 기존의 선형적 방법과 비선형 방법을 결합한 Hybrid model을 제안하고자 한다. 시계 열 구조적 분해방법인 STL 기법과 비구조적 잔차 제거 방법인 DAE 분석을 수행하였다. 즉 Trend와 Seasonal을 분해하는 STL과 머신 러닝 기반의 DAE를 활용하여 분해하고, 설명되지 않은 잔차를 대상으로 딥 러닝을 통해 예측함으로써 선형과 비선형 방법을 결합하여 예측 정확도를 제고하고자 한다. 분석결과, 연구진이 제안한 모델로 STL와 DAE를 활용하여 2중 분해하고 LSTM과 Attention을 결합한 Hybrid deep learning model이 가장 예측 정확도가 높았다. 향후 관광수요 예측에서는 분해와 잔차 기반의 노이즈 제거 과정을 거친 후, 딥 러닝 기 법을 결합하는 것이 정확성 측면에서 효과적인 방법임을 확인하였다. 본 연구는 연안 국가어항의 미래 관광수요를 전망함으로써, 관광추 세를 반영한 지속가능한 수요 대응 전략 수립 및 정책 의사결정에 기여할 수 있을 것으로 기대된다.

Recent advances in digital technology and the diversification of consumer demands have accelerated the emergence of hybrid design approaches in contemporary fashion. Knitwear, characterized by structural flexibility, elasticity, and transformability, has become a key medium for integrating diverse materials, techniques, and textile structures. Although hybrid aesthetics have been actively discussed in broader fashion studies, systematic research focusing specifically on hybridization in knitwear particularly from structural, material, and technological perspectives remains insufficient. This study addresses this gap by classifying hybrid knitwear into three categories: Structural Hybrid, Material Hybrid, and Technical Hybrid. Using case studies of representative designers and technological applications, including Iris van Herpen, Alexander McQueen, Issey Miyake, Nike Flyknit, and MIT Media Lab, the research analyzes the distinctive characteristics of each category. The analysis focuses on how hybridization is realized through form construction, material composition, and digital or functional integration, while also identifying the design principles and fabrication strategies that enable hybrid outcomes in contemporary knitwear. The findings indicate that hybrid knitwear extends beyond conventional textile-based design to function as an expanded platform where materials, structures, and emerging technologies converge. This convergence generates new aesthetic, functional, and experiential values, positioning knitwear as a critical site of innovation. The study provides a theoretical framework for understanding hybrid knitwear and offers practical insights for future developments in knitwear design, smart textiles, digital fabrication, and technologically integrated fashion systems.

Chilli (Capsicum spp.) is essential to Sri Lanka’s agricultural economy and household nutrition. However, the sector faces ongoing challenges, including low dry chilli productivity, pest and disease pressures particularly from the chilli leaf curl complex and a heavy dependence on expensive imported dried chillies. To tackle these issues, the Sri Lankan Department of Agriculture (DOA) and the Field Crops Research & D evelopment I nstitute ( FCRDI) developed MICH Hy1, a high-yielding, p est-resistant hybrid chilli variety suited to local conditions. From 2019 to 2021, the ‘KOPIA Chilli Project’ initiated a participatory hybrid seed production initiative in Kothmale, involving farmers in a decentralized seed system utilizing insect-proof net houses and capacity-building programs. This collaborative approach has successfully enhanced seed quality, improved farmers’ incomes, increased the availability of affordable hybrid seeds, and reduced reliance on imported varieties. The initiative highlights the potential of farmer-led hybrid seed systems to strengthen national seed security, empower rural communities, and promote sustainable chilli cultivation in Sri Lanka.

The fabrication of curved hull plates is a critical process in shipbuilding, affecting both the structural integrity and hydrodynamic performance of vessels. This study investigates a hybrid forming method that combines induction heating and multi-point press forming to improve the accuracy and efficiency of curved plate production. The forming experiments were performed under various heating and pressing conditions to examine their effects on deformation behavior, forming accuracy, and surface quality. The results indicate that the hybrid forming approach effectively reduces processing time, minimizes spring-back, and enhances the precision of the formed geometry compared with conventional mechanical forming. These findings demonstrate the potential of hybrid forming as an efficient and reliable technique for manufacturing complex hull structures in modern shipbuilding.

In this study, a hybrid cooling system combining thermoelectric modules and a vapor compression cycle was applied to a cold storage unit, and the effect of enhancing energy efficiency through the application of mist spraying technology to the heat exchanger coils was analyzed. The hybrid cooling system was designed to operate the vapor compression cycle during the initial temperature reduction phase (from ambient to 5°C), and to maintain the set temperature using thermoelectric modules thereafter. Separate heat exchangers were installed for the thermoelectric and vapor compression components, and mist spraying was applied individually to each heat exchanger coil. Experimental results showed that mist spraying reduced power consumption by approximately 20% during vapor compression operation, and by about 1~2% during thermoelectric operation. This study empirically demonstrates the potential of mist spraying technology as an energy-saving enhancement for hybrid cooling systems, and the findings can serve as a foundation for the development and commercialization of integrated heat exchangers in the future.

Enhancing the energy density of electrodes by increasing thickness and mass loading is a technological challenge. Thick electrodes suffer from severe deterioration in electrochemical performance due to insufficient structural integrity and sluggish charge transport, particularly under high current density. Herein, we fabricated thick LiFePO4 (LFP) electrodes with thicknesses ranging from 85.7 to 90.3 μm and an average mass loading of 17.68 mg/cm2 by tailoring the ratio of zero-dimensional (Super P, SP) and one-dimensional (multi-walled carbon nanotube, MWCNT) conductive additives. The electrodes containing MWCNT exhibited crack-free structure and enhanced electrochemical performance with increasing MWCNT ratio because of the superior mechanical properties and electrical conductivity of MWCNT. However, the electrochemical performance of the electrode containing only MWCNT deteriorated due to aggregation of the MWCNT and poor point to point contact with the LFP particles. The multi-dimensional conductive additives improve the dispersion of components within the electrode and the structural stability of the electrode. As a result, the tailored electrode exhibited a lower degree of electrode thickness expansion (1.4 %), lower polarization (60.8 mV at 0.1 C), excellent high-rate capability (132.7 mAh/g at 2 C), superior capacity retention (27.5 % at 3 C), and lower electrical resistivity and interfacial resistance (14.9 Ω cm and 3.8 Ω cm2, respectively) compared to other samples.

Through-silicon via (TSV) filling is indispensable for three-dimensional semiconductor packaging. Conventional processes rely on PVD (physical vapor deposition) or ALD (atomic layer deposition) seed layer deposition followed by copper electroplating, but these approaches face limitations in productivity and conformality. ALD and ELD (electroless deposition) have been investigated as seed-based approaches to overcome poor step coverage, while seedless strategies have also been proposed including additive-assisted electroplating, electroless alloy layers, metallic nanowires, and conductive pastes. These methods have demonstrated void-free or seam-free fills under specific conditions, yet challenges remain in achieving uniform superconformal filling across dense arrays, suppressing copper oxidation and interfacial contamination during rinsing/drying, and guaranteeing long-term reliability under thermomechanical cycling, electromigration, and humidity bias. In parallel, hybrid bonding has emerged as an alternative to thermo-compression bonding, where TSV filling performance, CMP (chemical mechanical polishing) planarization, and interface activation are crucial to reliable bonding. An integrated research approach incorporating both seed- and seedless-based TSV filling together with hybrid bonding provides a credible pathway to reliable three-dimensional stacking for high-bandwidth memory and artificial intelligence applications.