Proper Utilization Research Articles

AI Enabled MED Drone for Healthcare Application

The project proposes the development of an AI-enabled MedDrone for medication delivery, introducing an innovative and efficient solution to enhance healthcare logistics. The MedDrone, equipped with artificial intelligence capabilities, aims to revolutionize the process of medication delivery by leveraging autonomous aerial technology. The system integrates advanced algorithms to optimize route planning, ensuring timely and accurate delivery of medications to designated locations. The AI component enables the drone to adapt to real-time variables such as weather conditions and traffic, enhancing the reliability and responsiveness of the delivery process. This project addresses the challenges of traditional medication distribution, offering a futuristic and intelligent approach to healthcare logistics through the deployment of AI-enabled autonomous drones for efficient and timely medication delivery. The proposed system integrates AI algorithms for real-time route optimization, obstacle avoidance, and decision-making, enabling the drone to autonomously navigate complex environments and deliver essential medical supplies such as first aid kits, defibrillators, and medications to the point of need. Through the utilization of machine learning techniques, the drone continuously learns from its interactions with the environment, enhancing its adaptability and performance over time. Additionally, the system incorporates advanced communication technologies to enable seamless coordination with emergency responders and healthcare professionals, ensuring timely delivery and proper utilization of resources. The efficacy of the proposed AI-based medical drone system is demonstrated through simulations and real-world trials, highlighting its potential to revolutionize emergency response efforts and improve healthcare accessibility, particularly in challenging or resource-constrained environments.

Automatic Testing Technology of BTB Liquid Crystal Display Advanced Fault Detection in Smart Meter for Smart Machine

In smart meter technology, the reliability of Backplane to Bezel (BTB) Liquid Crystal Displays (LCDs) is crucial for efficient functioning within intelligent grid systems. Defects in these LCD screens can significantly impact overall smart meter performance, necessitating effective detection methods for proper management and utilization. Current detection approaches, which combine manual and automatic methods based on machine vision, have shown unsatisfactory performance. This research addresses this challenge by proposing a novel method for advanced fault detection in BTB LCDs of smart meters, Automatic Testing Technology of BTB Liquid Crystal Display Advanced Fault Detection in Smart Meter for smart machine (BTB-LCD-FD- MCDSGAN) is proposed. The study begins by collecting datasets specifically tailored for LCD screen localization and defect detection. To enhance data quality, a Window Adaptive Extended Kalman Filter (WAEKF) is applied during preprocessing for noise removal. Feature extraction follows, utilizing Parameterized Multi Synchrosqueezing Transforms (PMST) with a primary focus on Gray Level Co-occurrence Matrix features. These extracted features serve as input for classification by a Multimodal Contrastive Domain Sharing Generative Adversarial Network (MCDSGAN), categorizing defects into five types likes normal display, no display, abnormal display, liquid crystal rupture, and incomplete display. Furthermore, the proposed method optimizes the MCDSGAN weight parameter using the Red Fox Optimization Algorithm (RFOA) to achieve accurate LCD fault defect prediction. The entire approach is implemented in Python, performance metrics likes accuracy, precision, recall, F-score, computational time are thoroughly analyzed. Performance of proposed BTB-LCD-FD-MCDSGAN approach attains 20.89%, 33.67% and 25.98% high accuracy, and 17.98%, 23.78% and 33.45% higher recall compared with existing methods such as automatic detection of display defects for smart meters depend on deep learning (AD-AM-DL), deep learning-enabled image content-adaptive field sequential color LCDs by mini-LED backlight (DL-AFSC-LCD) and new multi category defect detection method depend on convolutional neural network technique for TFT-LCD panels (MDF-CNN-LCD), methods respectively.

Investigation of natural radioactivity and its associated radiological parameters in different tiles used in Kanyakumari district, Tamil Nadu, India

Abstract Radiological parameters resulting from different tiles commonly used in homes and offices in Kanyakumari district of Tamil Nadu, India were assessed in this study by carrying out radioactivity measurement of natural radionuclides (226Ra, 232Th, and 40K) in them using a NaI (Tl) gamma-ray spectrometer. The tiles’ respective mean activity concentrations were about 49.2 Bqkg−1 for 226Ra, 49.3 Bqkg−1 for 232Th, and 479 Bqkg−1 for 40K. Radiological parameters such as radium equivalent activity, absorbed dose rate, annual effective dose, and gamma index were evaluated. The calculated mean absorbed dose rate is slightly higher than the world average values. The geometric mean of radium equivalent activity, annual effective dose, and gamma index are well within the recommended limit and hence do not pose any risk when used as building materials. The findings will be helpful for creating guidelines and standards for the proper utilization of these materials.

A CASE REPORT OF MYELOMENIGOCELE WITH ARNOLD CHIARI MALFORMATIN II-HIGHLIGHTING THE IMPORTANCE OF ANEMIA MUKTH BHARATH PROGRAMME

Introduction:Neural tube defects are common complex congenital malformations resulting from failure of neural tube closure during embryogenesis, which usually completes by 28 days post conception. Myelomeningocele is almost always associated with Arnold Chiari Malformation II (CM II)and vice versa. Aims &Objectives : As most of the neural tube defects can be prevented by pre-conceptional folate supplements, we would like to high light the importance of proper implementation and utilization of Anemia Mukhth Bharath Programme. Background: Neural tube defects (NTDs) are caused by a combination of multiple genes and multiple environmental factors like folic acid deficiency, insulin dependent diabetes, obesity and certain medications which interfere with folate metabolism.One of the beneficiaries under the Anemia Mukth Bharath programme are women in the reproductive age group in the pre-conception period and up to the first trimester of the pregnancy. They are advised to have400 mcg of Folic Acid tablets, daily, to reduce the incidence of neural tube defects in the fetus. Case report :We present a case of Chiari malformation associated with megaloblastic anemia with an attempt to highlight the importance of proper utilization of national program for prevention of iron and folate deficiency in women of reproductive age group. Clinical relevance : Neural tube defects are largely preventable anomalies by simple and effective management of folate deficiency preconceptionally. Conclusion :Proper utilization of the Anemia Mukth Bharath program which is available to the beneficiaries at their doorstep can not only prevent maternal anemia but also prevent fetal loss due to NTD.

예비유아교사의 전자그림책에 대한 은유분석

Objective: This study aimed to explore the formation of conceptual metaphors by pre-service early childhood teachers concerning electronic picture books. The goal is to gain insights into how these metaphors may impact the integration of electronic pictures books within early childhood education settings.
 Methods: A total of 210 pre-service early childhood teachers participated in this study and responded to a metaphorical questionnaire. The collected data were analyzed using both qualitative and quantitative methods.
 Results: The research findings categorized the 210 metaphorical expressions into the following eight main categories: Convenience, Visual Effects, Innovation, Developmental Hindrance, Immersion, Educational Effects, Ambiguity, and Enjoyment.
 Conclusions: This study analyzed metaphorical expressions and their underlying rationales among prospective preschool teachers regarding electronic picture books. The aim is to provide guidance and support for prospective teacher education to foster a proper understanding and effective utilization of electronic picture books.

ANALISIS PENGGUNAAN SMARTPHONE TERHADAP PRESTASI AKADEMIK SISWA SD

Smartphones have an influence on technological advances that cover several aspects that are basically limited to communication tools. Now smartphones are the main needs for each individual that will continue to develop to facilitate daily activities. Smartphones can have positive and negative effects on their users. If the smartphone is used properly, it will have a positive impact, but if the smartphone is not used properly, it will have a negative impact on its users. The use of smartphones is not only from adults or teenagers, but many elementary school children are already using smartphones to facilitate their activities. The purpose of this study was to analyze the effect of smartphone use on academic achievement of elementary school students. The method used in this research is a literature study by reviewing 10 selected articles. The data collection technique was carried out by reviewing and analyzing data in the form of literature review so as to obtain conclusions. The results showed that smartphones can cause student learning achievement to decline due to the lack of proper utilization of smartphones. Students will be less motivated to learn if they are addicted to smartphones, causing a decrease in concentration while studying and a lack of interest in learning.

Accumulation, translocation, metabolism and subcellular distribution of mandipropamid in cherry radish: A comparative study under hydroponic and soil-cultivated conditions

The accumulation and transportation of pesticides in plants can provide valuable insights to assess potential risks and ensure food safety. The uptake and downward translocation of mandipropamid were examined in hydroponic and soil-cultivated cherry radishes. The uptake of mandipropamid in cherry radish was rapid (bioconcentration factors of 1.1–10.7), whereas the downward translocation was limited (translocation factors of 0.1–0.9). The subcellular distribution results indicated a predominant accumulation in solid fractions of cherry radish (proportions of 52.9–98.7%), potentially because of the hydrophobicity (log Kow of 3.2) of mandipropamid. Owing to the decrease in half-life (>10%), the cultivation of cherry radish enhanced the dissipation of mandipropamid in both nutrient solutions (without stereoselectivity) and soils (with stereoselectivity). In addition, eleven metabolites and three pathways are proposed. This study provides valuable insights for the varying extent of translocation and proper utilization and safety evaluation of mandipropamid in crops.

Strategies to Effectively Utilize Images in Anatomical Teaching and Assessment.

Anatomical images are commonly used in the teaching process to help students understand the spatial orientation of anatomical structures. Previous research has shown that images effectively visualize the relationship between anatomical structures that are difficult to comprehend through verbal or written explanations alone. However, there is a lack of guidelines that specifically address the various methods of utilizing anatomical images and delivering them through multimedia and cognitive load principles. This article aims to provide a concise overview of the proper utilization and delivery of anatomical images and how these images can facilitate student interaction.

Coastal vulnerability assessment to multi hazards in the exposed coast of Southeastern Coastal Region of Bangladesh

Bangladesh is a maritime nation situated on the northern side of the Bay of Bengal (BoB), blessed with substantial natural resources and opportunities. However, natural disasters and climate-induced hazards are threatening these opportunities as well as destroying the recourses. Coastal vulnerability assessment aids in the prevention of loss of life and resource devastation since it provides forewarning of impending calamitous consequences and facilitates taking mitigative measures. The study has endeavored to make a composite coastal vulnerability index (CVI) for the exposed coast of the southeastern coastal region of Bangladesh, combining physical and social vulnerability indexes using several physical and social parameters. The CVI was developed by using nine physical parameters, namely (a) Coastal Elevation, (b) Coastal Slope, (c) Annual Average Rainfall, (d) Storm Surge Height, (e) Soil Salinity, (f) Average Wind Speed, (g) Rate of SLR, (h) Soil Permeability, (i) Mean Tidal Range and six social parameters namely (a) Literacy rate, (b) Household Structure, (c) Land Use Land Cover (LULC), (d) Population Density (e) Number of Disabled People and (f) Number of Population (Age: <5 & >65). With the aid of field and secondary data, thematic layers of each physical and social parameter were prepared by defining five distinct vulnerability classes (i.e., very high, high, moderate, low, and very low) and assigning vulnerability ranks. The final CVI was estimated using geospatial techniques such as GIS and remote sensing, coupled with Physical Vulnerability Index (PVI) and Social Vulnerability Index (SVI), and relevant values were categorized into five distinct groups as before. The findings show that 25.9% of the exposed coast in the southeast coastal region, which comprises Banshkhali, Chakaria, Maheshkhali, and Cox's Bazar Sadar is high to very high vulnerable to multiple hazards. Comparatively, 28.29% have been classified as moderately vulnerable, and the remaining 45.8% in the areas of Hathazari, Mirsharai, Sitakunda, Sandwip, and Chittagong City (Kotwali), Kutubdia show that they are very low to low vulnerable to such multi-hazards. Based on this vulnerability assessment result, sustainable coastal management policy-making and development planning can be taken to mitigate the risk and loss of the southeastern coastal region due to climatic hazards and natural disasters such as floods and storm surges. The outcome information will also help to make an Integrated Coastal Zone Management (ICZM) plan for the proper and sustainable utilization of the coastal resources. Additionally, it will assist as ground information to establish a framework for prioritizing community resilience-building initiatives or developing appropriate adaptation strategies to lower catastrophe risk.

An Overview of Traditional and Novel Tools to Assess Diet.

Effective dietary interventions are vital for combating morbidity and mortality, necessitating reliable assessment tools. This article explores diverse dietary assessment methods, emphasizing their complexities and applications. Food Frequency Questionnaires (FFQs) offer insights into dietary habits over specified periods but require validation for target populations. Traditional Food Records provide detailed insights but are labor-intensive and prone to underreporting. Technology-based and technology-assisted records offer efficient alternatives, leveraging mobile apps and wearable sensors, albeit with access and privacy concerns. 24hour Dietary Recall (24HR) methods capture detailed intake within a day, with traditional and technology-assisted approaches strengthening population studies. The Automated Multi-Pass Method (AMPM) and technology-assisted ASA24 represent traditional and contemporary 24HR methodologies, respectively, both yielding comprehensive dietary data. In conclusion, dietary assessments are crucial for understanding dietary patterns and health implications. Integration of novel technologies streamlines data collection and analysis, enhancing researchers' ability to accurately gauge short- and long-term dietary impacts. Proper utilization of these tools empowers researchers to make informed decisions regarding dietary interventions and public health initiatives.

Leaching characteristics of nutrients in food waste digestate-derived biochar

Food waste anaerobic digestion requires proper utilization of solid digestate, and pyrolysis emerges as an effective method to produce nutrient-rich biochar. This study investigated the leaching characteristics and speciation changes of nutrients in food waste digestate (FWD)-derived biochar pyrolyzed at 350 °C (BC350), 450 °C (BC450), and 550 °C (BC550). BC350 featured inorganic nitrogen, while BC450 and BC550 contained elevated organic nitrogen. Nitrogen, potassium, and dissolved organic carbon were released via a quick surface wash-off process. Polyphosphates prevailed in BC350 and leached through a fast diffusion-controlled process. BC450 and BC550 were dominated by Ca/Mg orthophosphates and released via a slow dissolution-controlled process. Leachates from BC450 and BC550 stimulated the shoot length of wheat seeds. After 5 leaching cycles, there were more aromatic dissolved organics, and BC450 and BC550 exhibited higher abundance of C-N and O-P-O. Overall, pyrolysis of FWD at 450 °C and 550 °C shows potential in producing slow-release biochar fertilizers for resource recycling.

Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models

Large language models like ChatGPT can generate human-like code, posing challenges for programming education as students may be tempted to misuse them on assignments. However, there are currently no robust detectors designed specifically to identify AI-generated code. This is an issue that needs to be addressed to maintain academic integrity while allowing proper utilization of language models. Previous work has explored different approaches to detect AI-generated text, including watermarks, feature analysis, and fine-tuning language models. In this paper, we address the challenge of determining whether a student's code assignment was generated by a language model. First, our proposed method identifies AI-generated code by leveraging targeted masking perturbation paired with comperhesive scoring. Rather than applying a random mask, areas of the code with higher perplexity are more intensely masked. Second, we utilize a fine-tuned CodeBERT to fill in the masked portions, producing subtle modified samples. Then, we integrate the overall perplexity, variation of code line perplexity, and burstiness into a unified score. In this scoring scheme, a higher rank for the original code suggests it's more likely to be AI-generated. This approach stems from the observation that AI-generated codes typically have lower perplexity. Therefore, perturbations often exert minimal influence on them. Conversely, sections of human-composed codes that the model struggles to understand can see their perplexity reduced by such perturbations. Our method outperforms current open-source and commercial text detectors. Specifically, it improves detection of code submissions generated by OpenAI's text-davinci-003, raising average AUC from 0.56 (GPTZero baseline) to 0.87 for our detector.

A comprehensive investigation of thermal management strategies in dissimilar micro-friction stir welding (dissimilar µFSW): Insights from numerical simulation and experimental observations

The increased heat dissipation rate from thin sheets and differences in material properties lead to difficulties in controlling the heat input in dissimilar micro-friction stir welding (dissimilar µFSW). As a result, improper material mixing and defect formation significantly increase, which deteriorates weld performance and escalates its rejection rate. This issue of thermal mismanagement is mitigated in the present work by utilizing suitable material positioning and tool offset strategies during the dissimilar µFSW of 0.5 mm thick AA 2024-T3 and AA 6061-T6. To date, post-weld analysis was predominantly utilized to derive the physics for explaining these strategies in dissimilar µFSW. However, for proper utilization of these strategies, it is important to comprehend the underlying process physics by investigating the parameters that evolved during the process, such as temperature distribution, material flow velocity, and material intermixing. The literature currently available lacks a systematic investigation in this direction. For this purpose, a 3-D thermo-mechanical model based on coupled Eulerian-Lagrangian formulation was employed in this study. The numerical results showed that an optimal temperature difference between the advancing and retreating sides facilitates achieving a higher degree of velocity symmetry with a uniform higher magnitude of velocity vectors. Importantly, this degree of velocity symmetry showed a good agreement with experimentally determined weld characteristics, namely macro and microstructures, and mechanical performance. By appropriate thermal management, a joint efficiency of 77.3 % (weld strength = 243.58 MPa) was obtained upon tensile loading, and the weld fractured from the heat-affected zone of the AA 6061-T6 side, exhibiting characteristics of ductile failure.

Valuation of livestock population and national feed security to enhance livestock productivity in Ethiopia.

Feed is a major input in the livestock industry and covers about 60%-70% of the total cost of producing meat, milk and eggs. Inadequate feed supply in terms of quality and quantity leads to lower production performance in livestock. However, the development of an appropriate livestock production strategy through efficient utilization of existing feed resources could raise the production and per capita consumption of livestock products. Efficiency of feed resource utilization can be measured as the ratio between input to production activities and output (e.g. kg of protein used per unit of meat, milk and eggs produced or hectare of land used per unit of milk produced). This study was designed with the objective of evaluating the livestock population and national feed security to enhance livestock productivity in Ethiopia. To achieve this objective, data were collected from the websites of the Ethiopian Central Statistical Agency from 2007 to 2021, FAO publications and websites, books and journals. The data obtained on different feed resources, livestock population and livestock feed requirement and balance were entered into an MS Excel spread sheet (Excel, 2010) and analysed using the general linear model (PRO GLM) procedure of SAS (2014) and multivariate analysis of covariance. The study results revealed that the livestock population had increased from 58.31 million tropical livestock units (TLU) to 81.10 million tropical livestock units (TLU), and the emission of entericCH4 had increased from 2511.08 Gg/year to 3661.74 Gg/year from 2008 to 2021. The study results also showed that the major available feed resources for ruminants are natural pasture and crop residues, which account for 56.83% (87.56×106 ) and 37.37% (57.57×106 ) of total feed production in the country, respectively. The contribution of concentrate and improved cultivated pasture and feed from permanent crops used as feed sources is very insignificant (3.05% and 1.96%, respectively). The estimated quantity of these feed resources was sufficient to meet the livestock feed requirement in the country in terms of dry matter (DM), digestible crude protein (DCP) and MEJ, which estimated about 153.31×106 t, 4.56×106 t and 1203.97×109 MJ DM, DCP and MEJ, respectively. The estimated livestock feed requirements were 134.62×106 , 4.52×106 , and 918.83×109 in DM, DCP and MEJ, respectively. The supply covered about 114.33, 100.04 and 131.33% of the DM, DCP and MEJ total annual feed requirements of livestock in the country. Hence, the current feed surplus obtained on feed requirements of ruminants and equines can support the nutrient requirements of 500×106 broilers, about 5×106 bulls, about 50×106 small ruminants or 3×106 crossbred lactating dairy cows, yielding 10L of milk per day. The findings of study indicated that natural pasture and crop residues cover a major proportion of the annual feed supply in the country. Therefore, proper grazing management, feed conservation practices, improving grazing land vegetation through clearing invasive species, replacing the grazing land with an improved grass and legume mixture, effective collection, conservation and proper utilization of crop residues, and other alternative options such as the use of chemical, physical and biological treatments to improve the nutritive value of fibrous feed should be practiced. More effective extension services and farmer training are also required to increase feed productivity and, hence, human development.

Current challenges of blood transfusions in patients with thalassemia in India and future perspectives

The introduction of regular red blood cell transfusions transformed thalassemia major from a fatal childhood disease into a chronic disorder. Thalassemia is highly prevalent in South Asia, including the Indian subcontinent, and blood transfusion remains the cornerstone of management for these patients. But safe blood transfusions still remain a major problem in India. Difficulties in maintaining adequate blood inventory, a lack of a national blood act, and fragmented blood transfusion services are some of the major contributing factors for the delay in blood supply. In most of the blood centers, alloantibody detection facilities and extended red cell antigen typing are unavailable. Awareness is the key to reducing alloimmunization, which limits the effectiveness of transfusions and the potential availability of blood. Patients with thalassemia are also at high risk of transfusion-transmitted infections unless appropriate blood screening is in place. Hence, many patients remain under-transfused, resulting in decreased health and quality-of-life outcomes. Facilities such as leucoreduction and immunohematological monitoring following a blood transfusion are often lacking in India, especially at the sub-district level. Continuous efforts to raise community awareness, regular training of health-care workers, and proper utilization of available resources are essential to ensuring safe blood transfusions for patients with thalassemia. Access to the new treatments at an affordable cost may reduce the blood transfusion burden for thalassemia patients in India.

Design, fabrication, and performance assessment of a novel biomass gasification-powered all-season climate control unit for perishables

Availability of storage and processing facilities that work off-the-grid is crucial to agrarian economies for meeting sustainable development goals. We report a novel biomass-gasification-powered climate control unit (CCU) with independently controlled temperature and humidity, which enables the system to maintain a wide range of climatic conditions for storage, processing and farming of perishables. The developed all-season CCU has a temperature control subsystem driven by a novel biomass gasification-based hot water generator (heating capacity – 22 kW), which also powers an adsorption refrigerator (cooling capacity – 11 kW). The heat content of the hot flue gas (≈250°C) from the exhaust of gasification-based hot water generator is recovered using flue gas-to-air heat exchanger and utilized to regenerate (3.6 kW) the desiccant wheel thus enabling an off-the-grid humidity control. Auxiliary components such as pumps, blowers, control panels, and valves are operated in an off-the-grid manner using solar photovoltaic panels (≈ 1.5 kWe) backed by storage batteries. An algorithm is devised to demonstrate autonomous and independent control of temperature and relative humidity over a wide range of psychrometric conditions (0–50 °C and 15–90 % RH). We also present the cost analysis and identify the immediate challenges facing the developed system. The waste-to-energy concept of high lignin-based biomass such as forest wood, agricultural residue demonstrated herein lays the foundation for a proper biomass utilization besides empowering farmers with a much-needed technology towards sustainable growth.

A novel system of liquid air energy storage with LNG cold energy and industrial waste heat: Thermodynamic and economic analysis

Liquid air energy storage (LAES) is a promising technology for large-scale energy storage applications, particularly for integrating renewable energy sources. While standalone LAES systems typically exhibit an efficiency of approximately 50 %, research has been conducted to utilize the cold energy of liquefied natural gas (LNG) gasification. This approach, applied during the LAES energy storage phase of air compression and liquefaction, can reduce the power consumption of the compressor and enhance the performance of the integrated system. However, the improvement in the system's efficiency is constrained due to the low temperature of the air entering the turbine expansion during the energy release phase. Most studies only focus on the utilization of LNG cold energy, neglecting the proper utilization of the cold energy generated during the liquid air gasification process. This paper proposes an integrated system of LNG cold energy utilization and cement industry waste heat recovery (WHR) with LAES (LNG-LAES-WHR). A thermodynamic model is constructed, and the system is optimized by using four-stage compression, four-stage expansion, and R601 as the working fluid for WHR. The optimized integrated system has a round-trip efficiency (RTE) of 176.27 % and achieves a power output of 337.53 MW. Compared to the previously proposed system, this system has a high exergy efficiency of 74.49 % with a maximum energy storage capacity of 0.5918 kW/kg LNG. The economic analysis shows that the system has the best economic performance when constructed in Zhuhai: the dynamic payback period (DPP) is 4.2 years and the life cycle net present value (NPV) is 1170.72 million USD. This system realizes the cascaded utilization of energy, both in terms of heat and cold, which is safe, flexible, and highly efficient. This work provides a reference for the design of integrated systems for large-scale LAES for industrial applications.

Investigating the potential of delignified rice husk as a carbon-rich resource for extracting glucose and its utilization in biocement production through fungal isolates.

Burning rice straw is now a significant issue faced by different regions in India, as its burning releases harmful gases, mainly carbon dioxide. Various techniques are now in trend to utilize the rice straw, e.g., producing compressed natural gas using rice straw, bioethanol, etc., as a substrate for various microorganisms. A high quantity of non-utilized rice husk generates more ideas for its proper utilization. The cellulose, hemicellulose, and lignin found in rice straws can be a fungi growth medium. In this research, the delignification of rice husk is done by acid (2% and 4% H2SO4) and alkali (2% and 4% NaOH) at 121°C at 103kPa for 1h to obtain crude carbon source which is further utilized for biomineralization. The glucose is subjected to qualitative and quantitative analysis using Molisch's and Dinitro salicylic tests. The delignification process showed a positive outcome when 2% H2SO4 is utilized maximum yield of 5.9 ug/ml free sugar concentration. Representing the highest glucose yield compared to the experiment's other acid and base substances used. Various techniques such as field emission-scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), and Fourier transformed infra-red (FTIR) spectroscopy are employed to examine surface and chemical alterations. The 2% H2SO4 pretreated rice husk is utilized for microbial-induced calcite precipitation using fungal isolates S1 (3), S1 (18), and S4 (1). The calcite and vaterite produced by biomineralization are confirmed using XRD for fungal isolates namely, S1 (3), S1 (18), and S4 (1) having percentage crystallinity of 59%, 46.428%, and 62.69% percentage crystallinity respectively.

Effect of Sowing Dates and Seed Priming on Agrometeorological Indices and Soil Moisture Regimes of Chickpea in North Central Plateau Zone NCPZ of Odisha

Background: field experiment entitled “Effect of sowing dates and seed priming on agrometeorological indices and soil moisture regimes of Chickpea in NCPZ of Odisha” was conducted at RRTTS, Keonjhar, Odisha, during the Rabi season for two consecutive years i.e., 2021-22 and 2022-23. Method: The field experiment was laid out in factorial RBD design with three replications and two factors. There were 3 dates of sowing in Factor A (D1-25 November, D2-5 December, D3- 15 December) and 5 moisture conservation practices in Factor B (M1- Control, M2- Seed priming with water for 8 hours, M3- Osmopriming (Seed priming with CaCl2 solution @0.5% for 8 hours), M4- Straw mulch@ 5t/ha and M5- Straw mulch@ 5t/ha +Seed priming with CaCl2 solution @0.5% for 8 hours). Seed priming controls the hydration of seeds that helps in the pre germinative metabolic activity of the seeds. So even if the soil has less moisture that will not affect the uniform and proper germination of the seeds. All together there were 15 treatment combinations. The test crop variety taken was JAKI-9218. Among the three dates of sowing, D2 (5th Dec) sowing recorded the tallest plants (41.47 cm). but were recorded in D1 (25 Nov) sowing. Early sowing on 25th November recorded the maximum number of primary and secondary branches and required a greater number of days to 50% flowering (41.8 days) and days to physiological maturity (101.1 days). Results: Among the moisture conservation practices, M5 (Straw mulch@ 5 t/ha+Seed priming with CaCl2 solution @ 0.5% for 8 hours) recorded the tallest plants, maximum number of primary and secondary branches, maximum number of days taken to 50% flowering (40.7 days) and days taken to physiological maturity (100.1 days), maximum number of pods per plant (44) and number of seeds per pod (3.62), grain yield (1812 kg/ha) and straw yield (218 kg/ha). This treatment recorded the minimum consumptive use of water (203.5 mm) and rate of moisture use (1.36 mm/day) but the moisture use efficiency was maximum (12.34 kg/ha-mm). Treatment M5 recorded the maximum growing degree days (2182°C day), heliothermal unit (15077°C day hrs), photothermal unit (22595°C day hrs) and heat use efficiency (0.94 kg/ha/°C) to reach maturity. Chickpea when combined with suitable date of sowing and moisture conservation practices for proper utilization of carry-over residual soil moisture in the rice fallows gives higher yield.

Dynamic alterations in physiological and biochemical indicators of Cirrhinus mrigala hatchlings: A sublethal exposure of triclosan

Triclosan (TCS), a biocide used in various day-to-day products, has been associated with several toxic effects in aquatic organisms. In the present study, biochemical and hematological alterations were evaluated after 14 d (sublethal) exposure of tap water (control), acetone (solvent control), 5, 10, 20, and 50 μg/L (environmentally relevant concentrations) TCS to the embryos/hatchlings of Cirrhinus mrigala, a major freshwater carp distributed in tropic and sub-tropical areas of Asia. A concentration-dependent increase in the content of urea and protein carbonyl, while a decrease in the total protein, glucose, cholesterol, triglycerides, uric acid, and bilirubin was observed after the exposure. Hematological analysis revealed a decrease in the total erythrocyte count, hemoglobin, and partial pressure of oxygen, while there was an increase in the total leucocyte count, carbon dioxide, and partial pressure of carbon dioxide and serum electrolytes. Comet assay demonstrates a concentration-dependent increase in tail length, tail moment, olive tail moment, and percent tail DNA. An amino acid analyzer showed a TCS-dose-dependent increase in various amino acids. Sodium dodecyl sulphate polyacrylamide gel electrophoresis analysis revealed different proteins ranging from 6.5 to 200 kDa, demonstrating TCS-induced upregulation. Fourier transform infrared spectra analysis exhibited a decline in peak area percents with an increase in the concentration of TCS in water. Curve fitting of amide I (1,700–1600 cm−1) showed a decline in α-helix and turns and an increase in β-sheets. Nuclear magnetic resonance study also revealed concentration-dependent alterations in the metabolites after 14 d exposure. TCS caused alterations in the biomolecules and heamatological parameters of fish, raising the possibility that small amounts of TCS may change the species richness in natural aquatic habitats. In addition, consuming TCS-contaminated fish may have detrimental effects on human health. Consequently, there is a need for the proper utilisation and disposal of this hazardous compound in legitimate quantities.