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Water resources play an integral part in the life of a living being. The various water resources that are present on the earth’s surface are in the form of oceans, seas, lakes, rivers, ponds, waterfalls etc. Among these water resources Lakes and reservoirs are vital for people’s life, industrial activities and many other day to day activities. These water resources help in obtaining water for drinking after being treated. They also provide water for agriculture and industrial usage, fishery resource, flood control functions and many other activities. Due to the closed nature of lakes’, the waste material from sewage, agricultural effluents, domestic and industrial fields, gets accumulated around the surface of these water resources and once the water gets polluted, it gets strenuous to improve the quality of the water. In the study, the authors have examined different effective ways by which the quality of lake water can be improved.

The Coal conveyor system forms an integral part in Thermal Power plant owing to the fact that the overall efficiency of the plant is dependent on the rate at which the coal is carried to the crusher unit. But, as of now, only manual labors are employed to regularly monitor the operation of conveyor system which is highly risky. Hence, by means of a Microcontroller like PIC makes the controlling process much easier. The flaws that occur in the conveyor system are mostly due to the temperature at which the coal is carried and also due to the attrition in the belt. By means of a Temperature sensor and an IR sensor this could be regularly monitored and during any abnormal situation, this initiate Cooling fan in case of high temperature and signals an alarm whenever there is any fault in the system.

Ethnomedicine, synonymous with traditional medicine, is a crucial healthcare system practiced by various ethnic groups worldwide, especially among those with limited access to modern Western medicine. This study explores the rich bio-cultural diversity of the North Central Western Ghats in Karnataka, India, which harbors diverse ethnomedicinal practices. The region's tropical forests are home to an extensive array of plant species, with over 600 endemic to southern India and 95 exclusively endemic to Karnataka. The research focuses on documenting and analyzing the traditional knowledge of local communities regarding the use of plants for treating various human diseases. However, this task presents significant challenges and requires collaborative efforts from the government, NGOs, and Herbal Drug Companies. Over the last decade, ethnomedicinal studies have seen a rise, but there is still limited understanding of ethnomedicine's role in the traditional healthcare system in India. The forests of North Central Western Ghats, including Agumbe, Arbail Ghat, Chorla Betta, and others, exhibit a combination of deciduous and evergreen vegetation. These forests hold a variety of medicinal plants, adding to the region's bio-cultural richness. Scientific validation of the locally used ethnomedicinal plants further supports the development of herbal drug formulations with the support of the Ministry of Ayush, enabling the conservation and sustainable utilization of threatened and endangered species. The study emphasizes the importance of preserving traditional healers' knowledge and promoting collaboration for the preservation of ethnomedicinal practices in the region.

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing crop yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate the potential for increasing accuracy and automating disease identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient and accurate disease identification, especially in regions with limited access to advanced diagnostic technologies. The main goal is to develop a productive system that can recognize tomato plant diseases. The model was trained on a collection of images of healthy and damaged tomato leaves from PlantVillage using transfer learning techniques. The images from the dataset were cleansed by resizing them from 256 × 256 to 224 × 224 to match the dimensions used in pre-trained models using min-max normalization. An evaluation of VGG16, VGG19, and DenseNet121 models based on performance accuracy and loss value for 7 categories of tomatoes guided the selection of the most effective model for practical application. VGG16 achieved 84.54% accuracy, VGG19 achieved 84.62%, and DenseNet121 achieved 98.28%, making DenseNet121 the chosen model due to its highest performance accuracy. The web application development based on the DenseNet121 architecture was integrated using the Django web framework, which is built on Python. This enables real-time disease diagnosis for uploaded images of tomato leaves. The proposed system allows early detection and diagnosis of tomato plant diseases, helping to mitigate crop losses. This supports sustainable farming practices and increases agricultural productivity.

Wheat bran and groundnut shell powder have been used to study the mechanism of diclofenac sodium adsorption from aqueous solution using batch as well as column modes and maximum uptake is 84.3% for wheat bran and 82.4% for groundnut shell powder at pH 6, drug concentration 1mg/L at 298 K for 30min. Isotherm and error analysis reveals that Freundlich and Langmuir isotherms fitted well. Kinetic studies show that the adsorption process follows second-order kinetics and thermodynamic study shows endothermic adsorption process. Column adsorption study is important for industrial scale adsorption and column studies have been carried out using vertical bed and sequential bed adsorption columns at pH 6 which is the optimum pH for maximum adsorption for batch experiments. Vertical and sequential bed columns setup is simple and economical which provides flow under gravity. The effect of varying inlet feed concentration and flow rate on the breakthrough and exhaustion time of columns has been studied to determine the bed capacities of both columns. Thomas model and Yoon-Nelson models fitted well with experimental data for continuous flow column studies.

Whiteflies (Bemisia tabaci Genn.) are aggressive hemipteran species that depend primarily on leaf tissue for their nourishment, causing substantial damages and yield losses in their hosts. This study was carried out to assess the effect of whitefly infestation on the growth parameters of one of the commercial eggplant cultivars (round green  Solanum melongena L) under filed conditions. The trial consists of four treatments (T1= 15, T2= 30, T3= 45 and control (T4) = 0 whiteflies/plot) replicated four times. The result revealed that all the parameters assessed are negatively affected by whitefly infestation with plants in treatment (T3) being most affected while those in T1 are least affected. The dry weight recorded least value (1.1 g/leaf) having the highest percentage reduction (69.11%) followed by leaf area with 152.5cm2 (48.83% reduction) while the number of leaves was least affected recording 50.3 leaves/plant (18.09% reduction) at 90 days after infestation in 2022 experiment. In 2023 experiment, similar results were recorded with plants in T3 being most affected. Dry weight of the leaves had the lowest value  (1.3g/leaf) representing the highest reduction (68.30%) followed by the  leaf area with 167.3cm2 (44.8% reduction) with the number of leaves also being least affected, recording 52.1 leaves/plant representing 9.40% reduction with plants in treatment T1,  at 90 days after infestation. The highest reduction in yield was also recorded with plants in T3 (92.10, 90.10%) while the least was observed in T1 (86.8 and 85.70%) for the respective trials (2022 and 2023). The result shows the level of susceptibility of the variety examined to whitefly infestation, demonstrating the urgent needs for the development of eco-friendly and sustainable whitefly management regimes for improved eggplant production in the area.

Desensitization allows successful transplantation of patients with a positive crossmatch (PXM) against their live donor. We evaluated outcomes following PXM renal transplant despite failure to convert to negative flow cytometric crossmatch (FCXM) after desensitization. Patients that underwent desensitization before PXM transplant between 1/1/00 and 11/1/11 were identified for analysis. Patients who received a transplant despite failure to convert to negative FCXM were identified as the not converted group. Patients who converted to negative FCXM after desensitization comprised the converted group control arm. 108 patients were desensitized before PXM transplant, (not converted group=42; converted group=66). Mean eGFR was comparable between groups at all time points, and 3-year eGFR was 57.8 mL/min vs. 57.1 mL/min, p=0.91. Patients with eGFR < 30mL/min at 3 years did not differ significantly (28% vs. 14%, p=0.15). Biopsy-proven rejection rates were numerically higher within the not converted group for each type of rejection and time point, but the values did not differ significantly. Opportunistic infections rates were comparable. Patient survival (95% vs. 91%) and death-censored allograft survival (84% vs. 95%, p=0.07) were similar between arms at 3 years post-transplant.

The Enterprise Radiation Forest (ERF) study was initially introduced as a topic of discussion at the Institute of Forest Genetics, USDA, USFS, in the late 1960s. During that period, a program was endorsed for investigating the impacts of radiation on the forest ecosystem. The rationale for this was to facilitate the prediction of potential outcomes in the occurrence of a nuclear disaster. The research location was situated within the forested lands in Enterprise of Oneida County, Wisconsin, United States. The radiation source in question was a 10,000 curie source of Cesium-137, characterized by a halflife of 33 years. Furthermore, a study concerning lichens was also carried out, the data, photographs, and micrographs were meticulously gathered to illustrate the pre-irradiation activity of the species. This subject holds significant value for dissemination among peers in the scientific community, particularly considering the resilience exhibited by natural ecosystems in response to varying levels of radiation. The information is reviewed with the objective of the entire program to ascertain the potential consequences for a northern forest ecosystem in the event of a nuclear disaster, in addition to the two publications from the Atomic Energy Commission.

A survey was carried out to determine the prevalence and seasonal variations of eggs of gastrointestinal nematodes in goats in four provinces of Mozambique, from November 2016 to October 2017 in Tete and Cabo Delgado, and from November 2016 to October 2018 in Maputo and Gaza. In each province, flocks were selected from both lowlands, located within the valleys of the rivers, and uplands which are located outside the valleys. Faecal samples were collected at monthly intervals to monitor faecal egg counts fluctuations. The modified McMaster technique was used for quantitative analysis of nematode eggs and for detecting cestode eggs in faecal samples. The sedimentation technique for detecting trematode eggs in faecal samples was used. A total of 2 703 samples were examined for nematode eggs and 2 587 for trematode eggs. Faecal examination indicated that between 18% and 100% of goats sampled were infected with gastro-intestinal nematodes. The prevalence varied according to the season of the year and the ecological conditions. The highest prevalence and worm egg counts were recorded at about the peak of the rainy season. Strongyloides papillosus, Calicophoron spp., Fasciola spp. and Schistosoma mattheei eggs were also found. Moniezia expansa and Moniezia benedeni eggs were found in all the four study areas but its prevalence was low and irregular. Based on the results of this study, which showed a clear seasonal pattern, strategic anthelmintic medications to effectively control helminth infections in goats in the different ecological zones of Mozambique are suggested.

The quality characteristics of selected black gram varieties viz., VBN 5, VBN 7, ADT 3, T9 and CO 6 and were evaluated for their suitability for the preparation of thick pancake. The foaming stability and foaming capacity were found to be maximum in VBN 5, CO 6 and T9. Maximum rise in volume was recorded in CO 6 (149 ml) followed by VBN 5 (148 ml) and T9 (147 ml) which is an indication good quality of thick pancake. Thick pancake prepared using 5 black gram varieties were analyzed for the physicochemical and microbial load. The texture profile viz., springiness, cohesiveness, chewiness and gumminess was evaluated for VBN 5, CO 6, T9 and VBN 7 respectively. The protein content was higher in thick pancake prepared from VBN 5 (25.47/100 g) compared to CO 6 (24.66 g/100g). Among the selected varieties, CO 6, T9 and VBN 5 had good batter content, texture, and microstructure and were found to be most suitable for thick pancake preparation.