Weichen Wang¹, Shaofeng Wang¹, Wenjing Liu^1,*, Luncai Zhou², Erqing Zhang¹, Ting Gao³, Grigory Petrishin⁴

Structural Durability & Health Monitoring, Vol.20, No.1, 2026, DOI:10.32604/sdhm.2025.071278 - 08 January 2026

Abstract In dry-coupled ultrasonic thickness measurement, thick rubber layers introduce high-amplitude parasitic echoes that obscure defect signals and degrade thickness accuracy. Existing methods struggle to resolve overlap-ping echoes under variable coupling conditions and non-stationary noise. This study proposes a novel dual-criterion framework integrating energy contribution and statistical impulsivity metrics to isolate specimen re-flections from coupling-layer interference. By decomposing A-scan signals into Intrinsic Mode Functions (IMFs), the framework employs energy contribution thresholds (>85%) and kurtosis indices (>3) to autonomously select IMFs containing valid specimen echoes. Hybrid time-frequency thresholding further suppresses interference through amplitude filtering and spectral focusing. More >

S. I. Aziz, G. G. Ali^*

Chalcogenide Letters, Vol.22, No.3, pp. 239-253, 2025, DOI:10.15251/CL.2025.223.239

Abstract This work investigates the photodetector characteristics of lead and cadmium sulfide thin films deposited on porous silicon heterojunction at composites (x=0,0.25,0.5,0.75,1). The characteristics of all deposited samples were estimated by X-ray diffraction (XRD), highresolution scanning electron microscope (FESEM), Energy-dispersive X-ray (EDX), I-V measurements, and photodetector properties. PbS and CdS thin films have been successful, and photodetector properties on the porous silicon surface have performed well using the chemical spray method. An X-ray confirmed that the prepared samples have a crystalline phase structure. Besides, the results indicate that the PbS and CdS thin films have cubic… More >

Kunjabihari Swain¹, Murthy Cherukuri^1,*, Indu Sekhar Samanta², Bhargav Appasani^3,*, Nicu Bizon^4,5, Mihai Oproescu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.2, pp. 1993-2015, 2025, DOI:10.32604/cmes.2025.067121 - 26 November 2025

Abstract Transmission line faults pose a significant threat to power system resilience, underscoring the need for accurate and rapid fault identification to facilitate proper resource monitoring, economic loss prevention, and blackout avoidance. Extreme learning machine (ELM) offers a compelling solution for rapid classification, achieving network training in a single epoch. Leveraging the Internet of Things (IoT) and the virtual instrumentation capabilities of LabVIEW, ELM can enable the swift and precise identification of transmission line faults. This paper presents a regularized radial basis function (RBF) ELM-based fault detection and classification system for transmission lines, utilizing a LabVIEW More >

Hui Qi¹, Jingyi Lian², Congjun Rao^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 995-1028, 2025, DOI:10.32604/cmes.2025.069722 - 30 October 2025

Abstract For the past few years, the prevalence of cardiovascular disease has been showing a year-on-year increase, with a death rate of 2/5. Coronary heart disease (CHD) rates have increased 41% since 1990, which is the number one disease endangering human health in the world today. The risk indicators of CHD are complicated, so selecting effective methods to screen the risk characteristics can make the risk prediction more efficient. In this paper, we present a comprehensive analysis of CHD risk indicators from both data and algorithmic levels, propose a method for CHD risk indicator identification based… More >

Kai Kang^1,*, Zhiyong Wang^2,3

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.3, pp. 1-1, 2025, DOI:10.32604/icces.2025.012678

Abstract Terahertz time-domain spectroscopy (THz-TDS) can be utilized to probe internal parameters of dielectric materials, such as the refractive index. Based on the stress-optic law, stress-induced variations in the refractive index enable the calculation of applied stress through measured changes in the refractive index. This paper introduces a THz-TDS-based methodology for stress field measurement. First, a THz-TDS stress field scanning and imaging system was developed, incorporating an amplitude-field imaging method that maps stress distributions using variations in the amplitude of THz pulses. Second, two analytical algorithms were established: a planar stress analysis algorithm based on THz… More >

Tao Lin^1,*, Chengdai Chen¹, Liyao Chen¹, Fengqin Han¹, Guanghui He²

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1661-1680, 2025, DOI:10.32604/fhmt.2025.070787 - 31 October 2025

Abstract Targeting spontaneous coal combustion during stacking, we developed an efficient heat dissipation & self-supplied wireless temperature measurement system (SPWTM) with gravity heat pipe-thermoelectric integration for dual safety. The heat transfer characteristics and temperature measurement optimization of the system are experimentally investigated and verified in practical applications. The results show that, firstly, the effects of coal pile heat production power and burial depth, along with heat pipe startup and heat transfer characteristics. At 60 cm burial depth, the condensation section dissipates 98% coal pile heat via natural convection. Secondly, for the temperature measurement error caused by… More >

He Wang, Shiqiang Li^*, Yiqi Liu, Jing Bian

Energy Engineering, Vol.122, No.11, pp. 4497-4521, 2025, DOI:10.32604/ee.2025.065244 - 27 October 2025

Abstract With the evolution of DC distribution networks from traditional radial topologies to more complex multi-branch structures, the number of measurement points supporting synchronous communication remains relatively limited. This poses challenges for conventional fault distance estimation methods, which are often tailored to simple topologies and are thus difficult to apply to large-scale, multi-node DC networks. To address this, a fault distance estimation method based on sparse measurement of high-frequency electrical quantities is proposed in this paper. First, a preliminary fault line identification model based on compressed sensing is constructed to effectively narrow the fault search range… More >

Xi Chen^1,3, Wanru Lin¹, Yuefu Liu^2,*

Journal of Psychology in Africa, Vol.35, No.5, pp. 661-669, 2025, DOI:10.32604/jpa.2025.068787 - 24 October 2025

Abstract Accurate assessment of climate anxiety is crucial, yet the cross-cultural transportability of existing instruments remains an open question. This study translated and validated the Hogg Climate Anxiety Scale for the Chinese context. A total of 959 students (females = 69.7%; M age = 19.60 years, SD = 1.40 years) completed the Hogg Climate Anxiety Scale, with the Climate Change Anxiety Scale and the Anxiety Presence Subscale served as criterion measures for concurrent validity. Test–retest reliability was evaluated with a subset after one month. Confirmatory factor analysis supported the original four-factor structure and measurement invariance across genders.… More >

Mengqiang Yu¹, Xingcheng Wang¹, Chen Quan¹, Mingxin Sun¹, Yujun Yang², Xiaodong He¹, Wu Sun^2,*, Pengfei Cao^1,*

Structural Durability & Health Monitoring, Vol.19, No.5, pp. 1127-1143, 2025, DOI:10.32604/sdhm.2025.067069 - 05 September 2025

Abstract Accurate measurement of anchor rod length is crucial for ensuring structural safety in tunnel engineering, yet conventional destructive techniques face limitations in efficiency and adaptability to complex underground environments. This study presents a novel wireless instrument based on the standing wave principle to enable remote, non-destructive length assessment. The system employs a master-slave architecture, where a handheld transmitter unit initiates measurements through robust 433 MHz wireless communication, optimized for signal penetration in obstructed spaces. The embedded measurement unit, integrated with anchor rods during installation, utilizes frequency-scanning technology to excite structural resonances. By analyzing standing wave… More >

Alya Penta Agharid¹, Indra Permana², Linlan Chang¹, Yi-Han Luo², Fujen Wang^2,*

Energy Engineering, Vol.122, No.9, pp. 3839-3866, 2025, DOI:10.32604/ee.2025.068586 - 26 August 2025

Abstract Air conditioning (AC) is essential for maintaining indoor comfort during Taiwan’s hot and humid summers but significantly contributes to increased energy consumption. This study evaluates the effects of AC duty-cycling strategies on energy performance, thermal comfort, and operational costs in office environments. Duty-cycling was implemented using a building energy management system (BEMS), which remotely controlled the ON/OFF cycles of AC units. Five duty-cycling modes were tested, with some modes incorporating air circulation during OFF periods. Field measurements of energy consumption, temperature, humidity, and air velocity were conducted and integrated with thermal comfort analysis tools to… More >