Research Work Research Articles

Distinctiveness, Uniformity and Stability (DUS) Characterization in Twenty Five Landraces of Rice (Oryza sativa L.)

For the establishment of Distinctiveness, Uniformity and Stability (DUS) characterization, Twenty five landraces of rice (Oryza sativa L.), collected from different parts of Tamil Nadu, were characterized according to the DUS guidelines of the Plant Varieties Protection and Farmers’ Rights Authority, using thirty agro-morphological traits. Rice accessions were planted with three replications using the randomized block design (RBD) in 2021 at the Plant Breeding Farm, Department of Genetics and plant Breeding, Faculty of Agriculture, Annamalai University. Observations were recorded on various agro-morphological traits such as Leaf sheath, flag leaf, leaf blade, awns, panicle, ligure and clum characteristics. The results obtained revealed a wide range of variability for twenty five landraces, essential characters of the thirty DUS characters studied. The results of this study will be useful for restoration and conservation of beneficial genes. Contemporary research work will be advantageous for breeders to choose the right parent for crop improvement and the researchers for genetic diversity among landraces.

Green Synthesis of Bimetallic Nanoparticles and its Catalytic Activity of Multicomponent Reactions and Antibacterial Activity

AbstractThis present research work focuses on synthesizing Ag−Cu bimetallic nanoparticles utilizing an aqueous extract leaf of Excoecaria agallocha, employing a green synthesis route. The incorporation of silver (Ag) with copper (Cu) induces synergistic effects that enhance reaction kinetics and reduce the multicomponent reaction time. The catalysts synthesized through this environmentally friendly approach were thoroughly characterized using various analytical techniques, including HR‐TEM, XRD, SEM‐EDX, UV‐Vis Spectrophotometry, and FT‐IR. The UV‐visible spectrum displayed a peak at 257 nm, while the FT‐IR spectrum exhibited peaks at 574 cm−1, indicative of bimetallic peak reductions attributed to the influence of plant metabolites. HR‐TEM and XRD revealed the crystalline with (111), (200), (111), (200), and (220) plane values and shapes of BMNPs. Furthermore, the Ag−Cu bimetallic nanoparticles demonstrated outstanding catalytic performance with high product yield, along with notable reusability and recyclability and excellent antimicrobial activity when compared with commercial antibacterial chloramphenicol.

Historical Landmarks of Congresses of All-Ukrainian Public Organization “Scientific Society of Anatomists, Histologists, Embryologists and Topographic Anatomists of Ukraine”

The Scientific Society of Anatomists, Histologists, Embryologists and Topographic Anatomists of Ukraine - is a public organization whose activity is aimed at the formation of conditions for revealing the scientific and creative potential of morphologists in Ukraine; at the development of the research work; at the development of innovative activity; and at the creation of a society website. This article aims to highlight the historical aspects of the formation and development of the society since Ukraine gained independence and up to nowadays, to focus attention on the famous Ukrainian scientists having managed the society and made significant efforts to develop morphology in Ukraine and in the whole world.

Optimization of Urea Super Granule Boost up for the Efficiency of N and Improved the Potato Quality, Growth and Yield

Potato is the third most important food crop after wheat and rice in Bangladesh. To determine the suitable nitrogen source by observing the growth performance with a view to increasing the yield of potato, a research work was carried out at the Research Farm, Sher-e-Bangla Agricultural University, Dhaka during the period from November 2018 to March, 2019. The experiment consisted of eight treatments. The experiment was laid out with Randomized Complete Block Design with three replications. Experimental results showed that nitrogen sources had significant effect on plant height, number of effective stem hill-1, wt. of tuber (g hill-1), yield of tubers (kg plot-1), yield of tubers (t ha-1), tuber fleshy dry matter content, specific gravity, grading of tubers (% by number). Potato production increased significantly due to the application of Urea Super Granule (USG). The highest production was observed in T3 treatment. The application of T3 treatment showed the highest wt. of tuber hill-1 (57.53g hill-1), highest tuber yield (25.77 kg plot-1), highest tuber yield (29.45 t ha-1) than any other sources of nitrogen treatments. The mean apparent recovery of Nitrogen by tested variety BARI Alu 7 (Diamant) was obtained with the application of USG in other treatment (except control) but the nitrogen use efficiency was highest in T3 treatment. Findings revealed that application of USG showed the superiority over other sources of nitrogen to produce highest tuber yield of potato and for all cases lowest results were found in T1 treatment receiving no fertilizer (control).

Fishing antioxidant 4-hydroxycoumarin derivatives: synthesis, characterization, and in vitro assessments.

Coumarins represent a diverse class of natural compounds whose importance in pharmaceutical and agri-food sectors has motivated multiple novel synthetic derivatives with broad applicability. The phenolic moiety in 4-hydroxycoumarins underscores their potential to modulate the equilibrium between free radicals and antioxidant species within biological systems. The aim of this work was to assess the antioxidant activity of 18 4-hydroxycoumarin coumarin derivatives, six of which are commercially available and the other 12 were synthesized and chemically characterized and described herein. The 4-hydroxycoumarins were prepared by a two steps synthetic strategy with satisfactory yields. Their antioxidant potential was evaluated through three in vitro methods, two free radical-scavenging assays (DPPH• and ABTS•+) and a metal chelating activity assay. Six synthetic coumarins (4a, 4g, 4h, 4i, 4k, 4l) had a scavenging capacity of DPPH• higher than butylated hydroxytoluene (BHT) (IC50=0.58mmol/L) and compound 4a (4-hydroxy-6-methoxy-2H-chromen-2-one) with an IC50=0.05mmol/L outperformed both BHT and ascorbic acid (IC50=0.06mmol/L). Nine hydroxycoumarins had a scavenging capacity against ABTS•+ greater (C3, 4a, 4c) or comparable (C1, C2, C4, C6, 4g, 4l) to Trolox (IC50=34.34µmol/L). Meanwhile, the set had a modest ferrous chelation capacity, but most of them (C2, C5, C6, 4a, 4b, 4h, 4i, 4j, 4k, 4l) reached up to more than 20% chelating ability percentage. Collectively, this research work provides valuable structural insights that may determine the scavenging and metal chelating activity of 4-hydroxycoumarins. Notably, substitutions at the C6 position appeared to enhance scavenging potential, while the introduction of electron-withdrawing groups showed promise in augmenting chelation efficiency.

Numerical Simulation of Sandwiched Perovskite-Based Solar Cell Using Solar Cell Capacitance Simulator (SCAPS-1D)

Due to the superb characteristics of its light-harvesting, the Perovskite sensitizer ABX3 (A = CH3NH3, B = Pb, Sn, and X = Cl, Br, I) has recently attracted great attention. Perovskite is composed of inexpensive and earth abundant materials. It is processable at low temperature preferably via the printing techniques. In addition, the charges in the bulk material after light absorption that enhances low loss in energy charge generation and collection were generated freely. In this research work, Solar cell capacitance simulator (SCAPS-1D) was used to harnessing the real device hybrid Perovskite (PSC) solar cell with material parameters obtained from literatures and experiment used in the definition panel and the arrangement of an hybrid (FTO/ZnO/CZTS/PSCS/CZTS/HTM) model in the SCAPS-1D simulator. From the simulated results obtained the Band gap diagram and other curves were constructed. The efficiency greater than twenty percent (>20%) was achieved, which shows that having a combination of two different absorbers were achievable and calling for great attention from the researchers.

Biocomposite Materials Derived from Andropogon halepensis: Eco-Design and Biophysical Evaluation.

This research work presents a "green" strategy of weed valorization for developing silver nanoparticles (AgNPs) with promising interesting applications. Two types of AgNPs were phyto-synthesized using an aqueous leaf extract of the weed Andropogon halepensis L. Phyto-manufacturing of AgNPs was achieved by two bio-reactions, in which the volume ratio of (phyto-extract)/(silver salt solution) was varied. The size and physical stability of Andropogon-AgNPs were evaluated by means of DLS and zeta potential measurements, respectively. The phyto-developed nanoparticles presented good free radicals-scavenging properties (investigated via a chemiluminescence technique) and also urease inhibitory activity (evaluated using the conductometric method). Andropogon-AgNPs could be promising candidates for various bio-applications, such as acting as an antioxidant coating for the development of multifunctional materials. Thus, the Andropogon-derived samples were used to treat spider silk from the spider Pholcus phalangioides, and then, the obtained "green" materials were characterized by spectral (UV-Vis absorption, FTIR ATR, and EDX) and morphological (SEM) analyses. These results could be exploited to design novel bioactive materials with applications in the biomedical field.

A study of some research work on soil radon concentration and ionospheric total electron content as earthquake precursors

A study of some research work on soil radon concentration and ionospheric total electron content as earthquake precursors

A new method for analysis of marine sustainable energy systems

This paper proposes to utilise a new adaptive kernel density estimation (KDE) methodology based on linear diffusion processes for predicting the probability distribution tails of sea-state parameters. A key conclusion was reached that the proposed new methodology can lead to more accurate prediction results than traditional methods based on fittings to a measured significant wave height data set at National Data Buoy Center station 46014. This proposed methodology was subsequently utilised for deriving an accurate 50-year environmental contour line that was used in the dynamic analysis of a two-body point absorber wave energy converter. After systematically analysing the calculation results, another key conclusion was drawn that it is advantageous to use a more reliable contour line derived using the proposed new methodology for long-term dynamic analysis of wave energy converters. In summary, the proposed new adaptive KDE methodology is recommended to be utilised and to be refined continuously in future research work in the field of long-term reliability analysis of marine sustainable energy systems.

Analysis and Design of a High Gain Multiband Antenna Based on Metamaterials for RFID Applications

In this research work, the design of a dipole antenna based on metamaterials is proposed, which can be used as a high gain multiband communication device for RFID applications. This antenna is printed on two sides of an Arlon substrate, which has an overall electrical dimension of 0.39 λ0×0.11 λ0×0.0014 λ0. The metamaterials are used to obtain a multiband antenna, and their integration technique into the antenna results in a high gain compared to a conventional antenna without any magnification or additional layer. The simulated and measured results show that the proposed antenna can operate at 0.88-0.97 GHz, 2.41-2.48 GHz, and 5.77-5.91 GHz with a reflection coefficient of less than −10 dB, which make it well suited for RFID at 860-960 MHz and 2.4 GHz/5.8 GHz. All these resonant frequencies show better impedance matching with high gain. The proposed antenna has the advantages of simple design, low profile, easy feeding, low manufacturing cost, and easy integration into the electronic circuit.

Soil base Crop Prediction using Machine Learning

In general, agriculture is the backbone [Grab your reader’s attention with a great quote from the document or use this space to emphasize a key point. To place this text box anywhere on the page, just drag it.]of India and also plays an important role in Indian economy by providing a certain percentage of domestic product to ensure the food security. But now-a-days, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing the reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Naive Bayes, a supervised learning algorithm puts forth in the way to achieve it. The seed data of the crops are collected here, with the appropriate parameters like temperature, humidity and moisture content, which helps the crops to achieve a successful growth. In addition as the software, a mobile application for Android is being developed. The users are encouraged to enter parameters like temperature and their location will be taken automatically in this application in order to start the prediction process

Recent developments in synthetic strategies and pharmacological outcomes of synthetic xanthine oxidase inhibitors: A comprehensive review

AbstractXanthine oxidase is an important enzyme in purine metabolism that converts hypoxanthine to xanthine and subsequently xanthine to uric acid. Its elevated levels result in an abnormal accumulation of uric acid that results in gout and other pathological conditions, which makes it a prime target for the management of gout. Considering this, numerous reports have been published by the various research groups across the globe focusing on the development of effective xanthine oxidase inhibitors. On that ground, numerous review articles are also available describing the pharmacological outputs of these reports, but a composition highlighting the synthetic strategies used in these research works is still missing. This review will focus on various synthetic strategies adopted by different research groups in developing xanthine oxidase inhibitors with their pharmacological outcomes, along with structure activity relationships. This review will help researchers and pharmaceutical chemists in the design and development of new xanthine oxidase inhibitor leads that are highly efficient and have fewer side effects than existing ones.

Wrist-Based Fall Detection: Towards Generalization across Datasets.

Increasing age is related to a decrease in independence of movement and with this decrease comes falls, millions of falls occur every year and the most affected people are the older adults. These falls usually have a big impact on health and independence of the older adults, as well as financial impact on the health systems. Thus, many studies have developed fall detectors from several types of sensors. Previous studies related to the creation of fall detection systems models use only one dataset that usually has a small number of samples. Training and testing machine learning models in this small scope: (i) yield overoptimistic classification rates, (ii) do not generalize to real-life situations and (iii) have very high rate of false positives. Given this, the proposal of this research work is the creation of a new dataset that encompasses data from three different datasets, with more than 1300 fall samples and 28 K negative samples. Our new dataset includes a standard way of adding samples, which allow the future addition of other data sources. We evaluate our dataset by using classic cost-sensitive Machine Leaning methods that deal with class imbalance. For the training and validation of this model, a set of temporal and frequency features were extracted from the raw data of an accelerometer and a gyroscope using a sliding window of 2 s with an overlap of 50%. We study the generalization properties of each dataset, by testing on the other datasets and also the performance of our new dataset. The model showed a good ability to distinguish between activities of daily living and falls, achieving a recall of 90.57%, a specificity of 96.91% and an Area Under the Receiver Operating Characteristic curve (AUC-ROC) value of 98.85% against the combination of three datasets.

Interactive Teaching in Virtual Environments: Integrating Hardware in the Loop in a Brewing Process

The teaching–learning process developed was based on the effective integration of the Hardware in the Loop (HIL) technique to control a brewing process. This required programming the autonomous control of the system and uploading it to a physical controller consisting of a PLC S7-1200, which communicates in real time with a virtual brewing environment, in addition to a SCADA system, providing engineering students with a unique practical experience. The system allows the emission of input signals from sensors and the reception of output signals in actuators, which is reflected accurately and in real time in the virtual environment. Students cannot only observe but also control and manipulate the system using specifically developed programs. This methodology enriched the understanding of industrial processes and fostered the acquisition of control skills. This research work reveals that the combination of the physical and the virtual through the HIL technique offers an effective approach for the training of engineers, improving their understanding of industrial control processes and their ability to intervene practically in real industrial situations.

Comparative Technical and Economic Analyses of Hydrogen-Based Steel and Power Sectors

Decarbonizing the current steel and power sectors through the development of the hydrogen direct-reduction iron ore–electric arc furnace route and the 100% hydrogen-fired gas turbine cycle is crucial. The current study focuses on three clusters of research works. The first cluster covers the investigation of the mass and energy balance of the route and the subsequent application of these values in experiments to optimize the reduction yield of iron ore. In the second cluster, the existing gas turbine unit was selected for the complete replacement of natural gas with hydrogen and for finding the most optimal mass and energy balance in the cycle through an Aspen HYSYS model. In addition, the chemical kinetics in the hydrogen combustion process were simulated using Ansys Chemkin Pro to research the emissions. In the last cluster, a comparative economic analysis was conducted to identify the levelized cost of production of the route and the levelized cost of electricity of the cycle. The findings in the economic analysis provided good insight into the details of the capital and operational expenditures of each industrial sector in understanding the impact of each kg of hydrogen consumed in the plants. These findings provide a good basis for future research on reducing the cost of hydrogen-based steel and power sectors. Moreover, the outcomes of this study can also assist ongoing, large-scale hydrogen and ammonia projects in Uzbekistan in terms of designing novel hydrogen-based industries with cost-effective solutions.

Addressing the Critical Gap: Ensuring Urgent Access to Palliative Care Services with Essential Medications in Nepal.

Palliative care is essential for life-threatening illnesses. However, Nepal still faces significant challenges in accessing primary palliative care services, including required medications, particularly in rural areas. This commentary highlights the need for policies and guidelines to ensure equitable access to palliative care with medicines. While limited studies in Nepal confirmed the demand, challenges persist in rural areas with deficient access to quality healthcare. This article discusses the existing efforts and noteworthy initiatives implemented by healthcare institutions. However, these efforts are currently limited in scale. We recommend including essential palliative care medicines in government healthcare policies, establishing training programs for healthcare professionals, and developing comprehensive policies with detailed field research work to meet the growing demand. Addressing these issues will significantly improve the quality of life for palliative care patients in Nepal.

Heat Transfer and Flow Characteristics of Channel Impingement Cooling Structure at Leading Edge Inside Turbine Blades Using Large Eddy Simulation

Abstract As a main part of multichannel wall jet cooling structure, channel impingement cooling is a cooling strategy of great concern at the leading edge inside of the turbine blade. In this paper, heat transfer and flow behavior in the channel impingement cooling structure are investigated by large eddy simulation (LES). The results imply that impingement created by curvature-induced centrifugal instabilities in the turning region of the cooling channel is dominated by a streamwise vortex system containing a counter-rotating Dean vortex, which presents high heat transfer streaks along the streamwise direction on the target wall. The intensely unsteady nature of the cooling jet induced by a lack of equilibrium between the pressure gradient and the centrifugal force is precisely captured herein by LES. An attaching-wall jet formed on the outer wall downstream of the cooling channel has highly three-dimensional characteristics not observed by Reynolds-averaged Navier–Stokes equations (RANS). Heat transfer augmentation on the target wall of the cooling channel is mainly due to the intensifying streamwise vortex system developing in the turning region as driven by the centrifugal force. This research work will provide a reference for the optimization and application of multichannel wall jet cooling for gas turbine blades.

Seidel Laplacian Energy of Fuzzy graphs

Seidel Laplacian Energy of Fuzzy graphs

Preparing a New Type of Concrete Based on Sulfur-melamine Modifier

في هذا البحث تم تحضير نوع جديد من الخرسانة يعتمد على تحوير الكبريت والميلامين ودراسة خصائصها المختلفة. حضر هذا النوع الجديد من الخرسانة بناءً على تعديل الكبريت والميلامين والمكونات المختلفة. تم اثبات هذه التعديلات من خلال التحليل الطيفي للأشعة تحت الحمراء وتحليل .TG تمت دراسة التشكل السطحي الناتج عن هذا التعديل من خلال تحليل SEM وEDS وتم دراسة نسب المكونات في الخواص الخرسانية والكيميائية والفيزيائية الناتجة عن تعديل الكبريت والميلامين، كما تم دراسة المقاومة الكيميائية والتآكل للخرسانة، وثبات الخرسانة ضد امتصاص الماء، وثبات الخرسانة ضد التجمد، والخصائص الفيزيائية والميكانيكية والمتانة، ومعامل المرونة، والحرارية ومعامل التمدد للخرسانة الكبريتية المدروسة. أكدت نتائج الأشعة تحت الحمراء المجموعات الوظيفية الأمينية (حلقة الميلامين المرفقة) وتشكيل سلاسل متعدد الكبريت. كانت خسارة الكتلة الحرارية لتعديل الكبريت والميلامين خطوة واحدة. كانت عمليات فقد الكتلة للمنتج المعدل عمليات ماصة للحرارة. كشفت نتائج SEM التي تم الحصول عليها أن تعديل الكبريت والميلامين يؤدي إلى بنية مسامية أكثر ، بدون أي أشكال بلورية. أظهر تحليل EDS أن ذرات النيتروجين شكلت 51.33٪ من الكتلة الكلية بينما كان الكربون 30.94٪ من الكتلة الكلية. كان ثبات الخرسانة المعدلة الكبريت والميلامين عاليًا جدًا في المحاليل القوية المختلفة. كان الحجم المنخفض للخرسانة القائمة على الركام أكثر كثافة \، 2417 كجم / م 3. انخفضت كثافة الخرسانة ببطء مع زيادة حجم الركام. كان معدل التشوه للخرسانة المعدلة 0.0030-0.0033 مما يؤكد على ان فعالية الخرسانة المعدلة أفضل من الخرسانة التقليدية. كما أكدت النتائج المتحصل عليها أن قيمة معامل التمدد الحراري للخرسانة المعدلة من الكبريت والميلامين كانت 17.2×10-6\oC درجة مئوية.

To access the prevalence of undiagnosed type 2 diabetes mellitus in patients with acute coronary syndrome.

Objective: To access the prevalence of undiagnosed type 2 Diabetes Mellitus in patients with Acute Coronary Syndrome. Study Design: Cross-sectional study. Setting: Department of Medicine, of Tertiary Care Hospital of Islamabad. Period: 17th July 2023 to 17th October 2023. Material & Methods: WHO calculator was used to calculate the sample size and 100 subjects were selected fulfilling the inclusion criteria (Both male and female of age 18 to 65 years retained in ER or admitted with the diagnosis of ACS). Blood samples were obtained for baseline investigations including blood sugar and HBA1C. Results were entered on EXCEL Sheets and analyzed using SPSS V.20. Results: The data showed 47% males, 70% of the participants belonging to the age group 41-65 years ACS presenting with STEMI in 37%, 40% patients with NSTEMI and unstable angina was found in 23%. The Mean BMI was 27±3.2SD mean HBA1C level was 4.3±1.7SD and the mean FBG was 129±17.9SD. Among all the male patients, there were (27.65%) patients with undiagnosed T2DM while among all the female patients, (18.8%) were reported with undiagnosed T2DM. Conclusion: A high prevalence of undiagnosed DM was observed in ACS patients admitted to tertiary care hospital. Research work done in developing countries showed data which was consistent with our study, however, research data from developed world was in contrast to our study.