This research study focuses on the behavior of eco- friendly self-compacting concrete (SCC) mixed with industrial waste materials. Activated Carbon (AC) particles partially replaced river sand, while Ceramic powder (CP), limestone powder (LP), and cement kiln dust (CKD) replaced 20
Nowadays, remote sensor systems are winding up increasingly prevalent among the human networks. This is done through different applications such as reconnaissance, brilliant structures, shrewd water system, war zone checking, medicinal services. The applications include an enormous number of sensor hubs (SH) conveyed in the district of enthusiasm for a remote region. SH are normally minimal in size. They are controlled by battery source that has restricted vitality. The wireless sensor network (WSN) comprises of locally available sensors to detect different physical parameters of the earth. In the majority of the ongoing applications, SH are conveyed in an unmanned, remote condition where there is no probability for human intercession. In a SH, a large portion of battery vitality gets devoured in two different ways. The ways include sensing the different ecological parameters thereby sending the sensor occasion information to destination hub. The help of the neighbour nodes does this. The wireless sensor network's lifetime for the most part dependent on the installed battery's accessible vitality. Wireless sensor network likewise experiences the ill effects of few different issues. The issues include restricted registering power, correspondence disappointment, and time-fluctuating blurring channels. Vitality is said as a noteworthy problem in sensor organizes because it is essential for doing activities on the sensor hub.
Face detection remains a core challenge in computer vision, particularly for biometric and surveillance systems operating under limited computational resources. While the Viola–Jones (V–J) framework enabled early real-time detection, its robustness is insufficient for modern, unconstrained environments. This paper presents a hybrid, task-oriented extension of the V–J pipeline that integrates hierarchical CNN verification and an explicit Quality Assessment Module (QAM) to enforce biometric readiness. The proposed system combines multi-scale detection, quality-gated filtering, and multiplicative fusion of detection confidence and visual quality, while preserving the reject-fast philosophy of classical methods. Evaluation on WIDER FACE, FDDB, and AFW demonstrates a Conditional Detection Rate of 97.2
The polymeric nanofiber mats were produced from polylactic acid, methylcellulose, and polyethylene glycol with 5-fluorouracil (5Fu) drug and iron oxide (Fe3O4) nanoparticles. Spectral and crystallographic studies clearly elucidated the ionic interactions, structure and nature of the mats. Fe3O4 nanoparticles <10 nm in size, along with methyl cellulose and polyethylene glycol, have significantly reduced the size of nanofiber mats. The mechanical properties for the mats was found to be challenging; however, surface wettability, swelling capacity, and drug encapsulation efficiency results were promising. A controlled drug release pattern was observed from in vitro drug release study, zero-order kinetics, and a Higuchi model. Nanofiber mats showed higher anticancer activity (78%) against MDA-MB 231 cancer cells, which reveals that a small amount of 5Fu drug (15.86%) with high levels of O2••, H2O2, and OH• radicals generated from Fe3O4 have catalyzed the Fenton's reaction to eradicate the cancer cells, in a shorter span of 24 h, itself. In addition, the apoptosis assay by dual AO/PI staining method clearly exhibited the apoptotic cancer cells by fluorescence microscopy. Incorporation of Fe3O4 nanoparticles enhanced the anticancer activity of the mats, compared to the commercially available standard 5Fu drug. Nanofiber mats significantly controlled the growth of selected pathogenic microbial strains by the action of the 5Fu drug and Fe3+ ions. The degradation of mats was investigated by an in vitro mass loss study for a period of 360 days. In a nutshell, promising nanofiber mats were produced as targeted drug delivery devices for chemotherapy.
Environmentally sustainable polymer composites utilizing agro-waste biofillers provide a responsible method for improving thermoplastic performance. This work involved the fabrication of low-density polyethylene composites supplemented with Syzygium cumini seed biofillers using injection molding, utilizing filler loadings of 0, 10, 20, 30, and 40 wt%. The mechanical, physical, thermal, and morphological qualities were extensively assessed. The findings indicated that mechanical performance enhanced with rising filler content, peaking at 20 wt% Syzygium cumini, where the composite had a tensile strength of 6.58 MPa, an elastic modulus of 31.4 MPa, and a Shore D hardness of 42. The density grew significantly with the addition of filler, showing the successful assimilation of the biofiller. Dynamic mechanical investigation indicated superior stiffness retention at 20 wt% Syzygium cumini, whereas 10 wt% Syzygium cumini exhibited higher damping characteristics. Fourier-transform infrared spectroscopy and Energy-dispersive X-ray spectroscopy investigations validated the existence of lignocellulosic functional groups and bio-derived elemental composition, whereas scanning electron microscopy observations revealed homogeneous filler dispersion at optimal loading levels. Syzygium cumini seed particles are an economical and sustainable reinforcing filler for low-density polyethylene, with 20 wt% determined as the ideal reinforcement concentration.
