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In this study, a new bromeliad flower-like CdS photocatalyst was prepared using an easy hydrothermal technique based on dye adsorption for the photocatalytic destruction of organic contaminants under visible-light irradiation. The synthesized photocatalyst was characterized using a variety of analytical methods. The x-ray diffraction (XRD) pattern revealed that the synthesized CdS photocatalyst exhibited a hexagonal phase. Field-emission scanning electron microscopy (FE-SEM) and transmission electron microscopy (TEM) confirmed the novel bromeliad flower-like morphology of the synthesized CdS. High-resolution (HR)-TEM images revealed the interior structure and the (002) plane lattice spacing of the wurtzite structure of the photocatalyst. The specific surface area was found to be 33.96 m2g−1. Ultraviolet–visible–near-infrared (UV-Vis NIR) spectroscopy revealed a greater photocatalytic response in the visible region. The visible-light photodegradation of crystal violet (CV), rhodamine B (RhB), and methylene blue (MB) dye in the presence of the photocatalyst displayed high decolorization efficiency, with 96%, 96%, and 88% degradation of CV, RhB, and MB at 35 min, 115 min, and 145 min, respectively, under the same conditions. The photocatalytic degradation of CV dye was better than the degradation of RhB and MB dyes. Based on these results, a plausible photocatalytic mechanism is proposed for the bromeliad flower-like CdS photocatalyst.

Social media is currently playing an increasingly crucial role around the world. Pupils may become bored if the instructor employs typical teaching tools to help them strengthen their language abilities. A new teaching approach or set of materials should be introduced to them by the teacher. Learning is more enjoyable for pupils when we employ digital tools in the classroom. For decades, teachers and others have been developing technological aids to aid in the process of teaching and learning. It would increase the learners’ enthusiasm to participate in the learning process by increasing their motivation. This study analyses the impact of blogs on the development of English as a second language (ESL). Instructors attempt to improve learners' writing abilities by way of focusing their opinions on blogs. In order to determine the outcome of the study, the researchers utilised a descriptive research design. The information was gathered through the use of a questionnaire. The questionnaire was constructed using a three-point Likert Scale. Fifty-four students were selected randomly from an Arts and Science College in Tindivanam, Tamil Nadu. Almost every single student took part with enthusiasm and provided necessary feedback on the blogs. The findings demonstrated that blogs are a very beneficial tool for improving students' writing abilities, particularly in the secondary school setting. In addition, the advantages and disadvantages of blogs are explored in this research article.

We discover a unique structural-modified-diamond which exhibits similar symmetry and band gap energy to that of the pure diamond. We study a complex carbon-vacancy-hydrogen in the diamond using the density-functional-theory method. The defective models are created by adding H-interstitial (H i , where i = 1, 2, 3, and 4) in the 3D diamond C- monovacancy. The result shows that carbon-vacancy-hydrogen defects significantly decreased the symmetry from T d to C 2V . Likewise, the volumetric size of the systems are widening up to 48.70%, while the optimized band gap energies are narrowing. Additional states appeared in the C-monovacancy, H 1 -V, H 2 -V, and H 3 -V systems which further improved electron mobility. The H i compensates for the C-monovacancy which further serves as a deep donor. Interestingly, H 4 -V exhibits similar symmetry and band gap energy to that of the pure diamond, but its volumetric size is 48.70% wider.

Target analyte determination at deficient concentrations is crucial for several industries, including the food, pharmaceutical, and environmental protection sectors. A simple glassy carbon electrode-modified graphitic carbon nitride (g-C 3 N 4 /GCE) was presented here to measure theophylline (TP) in the sample precisely. After carefully analyzing pH, we suggest a reaction mechanism and discover that TP oxidation is stable across a broad pH range, especially in neutral environments. Utilizing differential pulse voltammetry (DPV) and cyclic voltammetry (CV), the electrochemical oxidation behavior of TP at the g-C 3 N 4 /GCE was examined. The established electrochemical sensor exhibited admirable electrocatalytic motion near the oxidation of TP in 0.1 M PBS medium. When operating in optimal conditions, the sensor demonstrated high sensitivity for TP determination. The sensitivity of the fabricated electrode is 10.13 µA. µM − 1 with a detection limit of 0.043µM (S/ N  = 3), the oxidation peak current of TP exposed a virtuous linear relationship with its concentration in the range from 5.2 to 118µM. For the measurement of TP, the modified electrode demonstrated good repeatability, long-term stability, and excellent sensitivity with respectable recoveries; additionally, recovery values are compared with HPLC methods.

Healthcare diagnostics and supplementary experimental research require electrochemical tools that are straightforward, inexpensive, delicate, quick, and precise. In addition to the previous reports of paracetamol sensors, we present an electrochemical sensor that customs differential pulse voltammetry (DPV) and cyclic voltammetry (CV) to determine the presence of nickel sulfide (NiS) on graphene oxide sheets (GO) (NiS@GO). Utilizing analytical methods, the composite surface morphology and structural characteristics were described. A substantial drop in overpotential was seen in the electrochemical investigation of the NiS@GO composite revised glassy carbon electrode (NiS@GO/GCE) owing to its substantial external part and high hauler agility, which demonstrated remarkable activity towards the oxidation of paracetamol (Para). Para electrochemical sensing was made more accessible by a diffusion-controlled oxidation process with an identical quantity of protons and electrons. From 3.3 µM to 125 µM the concentration of Para ornament linearly with the peak currents during the determination process 0.052 µM was the Para detection limit (3σ/S) sensitivity of the fabricated electrode was 12.14 µA µM −1 . In addition, the sensors demonstrated remarkable recovery with actual tablet samples over a month-long period with very little interference from common species. Commercial tablet samples demonstrate a noteworthy potential for wide-ranging applications in the electrochemical sector, with an acceptable recovery rate of 96.6 to 100.8%. An upfront, affordable quality monitoring system that can track the amount of para in tablets may be developed with the help of the suggested electrochemical sensor. Application investigations using the proposed sensor successfully detected Para in drug tabulations and biological materials. Graphical Abstract

Language is a complex process, especially its written mode. To write better, one must be well acquainted with vocabulary and contextual expressions. The difficulties faced by the first generation learners of English in India are numerous because exposure is a bigger issue. The remedies for their difficulties are elaborately discussed in this paper. The aim is to throw light on the obstacles of the first generation learners at the tertiary level who had studied English as the second language or as a medium of instruction at the school level. Eighty such participants were selected using random sampling technique and a semi-structured interview was conducted. A mixed-method approach was used and a questionnaire was administered. The present study identifies difficulties in writing skills faced by first generation learners. And also, this paper focuses on the impact of difficulties in writing skills on them. Additionally, remedial measures to enhance writing skills are also discussed.

Air pollution is a serious environmental and health issue in Malaysia due to the recent urbanization processes. The main sources of air pollutants are motorized vehicles in urban areas and airports and industrial activities. At the airports, NO2 is the main pollutant of concern besides aerosols particles, yet gap in data availability prevent studies to describe their patterns and quantify their effects on human health and climate change. In this study NO2 data from TROPOMI sensor on board Sentinel 5-P satellite was used to characterize the spatial and temporal patterns of NO2 tropospheric column amounts at major airports in Malaysia. The results demonstrate that NO2 amounts from aircrafts and ground traffic activities are generally higher and/or similar to the amounts found in urban areas. Total tropospheric column amounts of NO2 during the movement restriction imposed due to Covid-19 pandemic between March and April 2020 was approximately 50% lower the total emission during the same period in 2019 (representing a business as usual period). Assessing the spatial pattern and temporal variations in NO2 (both surface and total vertical profile) is important for monitoring the impact of air pollutants on climate change and human health in Malaysia.

Terry Pratchett and Neil Gaiman’s (1990) Good Omens offers an apocalyptic rewrite of mythology, making it clear that Pestilence has been overthrown and replaced with Pollution as one of the Four Horsemen of the Apocalypse. This replacement reflects contemporary shifts of the cultural spotlight from the fear of infectious disease, which peaked in the mid-20th century, to the slow, gradual, and pernicious environmental damage caused by human agency. This shift continues through the current concerns of ecological collapse and climate change. Conventional wisdom suggests that in the Book of Revelation, Pestilence represents disease and decay. However, in Good Omens, Pollution symbolizes humanity’s most pressing existential threat: ecological devastation. Unlike apocalyptic works like McCarthy’s The Road (2006) and Mad Max, which depict a braver, more violent apocalypse, Good Omens critiques environmental destruction through humor and satire. Pollution is characterized as a passive yet powerful protagonist, representing modernity’s acceptance of ecological violence, spoofing obscene consumerism, and highlighting the destructiveness of modern societal habits. Through the lens of eco-criticism, this paper discusses how Good Omens interrogates current ecological worries and contributes to the conversation around climate justice. This approach ultimately leads to an insightful exploration of how Pestilence’s reframing as Pollution challenges the tropes of the apocalyptic genre, engaging with broader ecocritical and cultural discussions about the role literature can play in shifting perspectives on the ecological crises faced today.

Feature selection is vital for data mining as each organization gathers a colossal measure of high dimensional microdata. Among significant standards of the algorithms for feature selection, the primary one which is currently considered as significant is feature selection stability along with accuracy. Privacy preserving data publishing methods with various delicate traits are analyzed to lessen the likelihood of adversaries to figure the touchy values. By and large, protecting the delicate values is typically accomplished by anonymizing data by utilizing generalization and suppression methods which may bring about information loss. Strategies other than generalization and suppression are investigated to diminish information loss. Privacy preserving data publishing with the overlapped slicing technique with various delicate ascribes tackles the issues in microdata with numerous touchy attributes. Feature selection stability is a vital criterion of data mining technique because of the accumulation of ever increasing dimensionality of microdata due to everyday activities on the World Wide Web. Feature selection stability is directly correlated with data utility. Feature selection stability is data centric and hence modifications of a dataset for privacy preservation affects feature selection stability along with data utility. As feature selection stability is data-driven, the impacts of privacy preserving data publishing based on overlapped slicing on feature selection stability and accuracy is investigated in this paper.