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Abstract Virtualization is the process of sharing physical machine resources into multiple Virtual Machines (VMs) for the effective utilization of resources. The major issues are in handling physical resources such as high demand of resources, infrastructure issues and operational issues. Also violating Service Level Agreement (SLA) is another problem to lead the violations. In this case, VM consolidation method is used to migrate the VMs and optimize the efficient way to use the resources. So we get minimized energy consumptions. Existing methods has increased energy consumption and overhead issues. In this paper we propose adaptive backtracking methods to provide VM consolidation based on less energy consumptions. We use Adaptive Hill Climbing and Pursuit algorithms to consolidate the VMs and use the VMs with efficient energy consumption. We implement this simulations using Matlab in Hybrid Cloud Environment. The performance factors are obtained with less energy consumption and compare the results with existing methods. Overall our proposed system is achieving 95% of accuracy index with lower energy consumption such as 28%, 30% and 32% with multiple VMs consolidations.

In the title compound, C31H28O4, the phenyl rings of the chalcone unit subtend a dihedral angle of 26.43 (10)°. The phenyl rings of the pendant benzyloxy groups are orientated at 75.57 (13) and 75.70 (10)° with respect to their attached ring. In the crystal, weak C—H...O and C—H...π interactions link the molecules. The intermolecular interactions were quantified and analysed using Hirshfeld surface analysis, which showed a breakdown into H...H (49.8%), H...C/C...H (33.8%) and H...O/O...H (13.6%) interactions with other types making negligible contributions.

Abstract Our investigation revealed that alterations in sulphur (S) pools are predominantly governed by soil organic carbon (SOC), soil nitrogen (N), microbial biomass, and soil enzyme activities in sandy clay loam (Vertic Ustropept) soil. We employed ten sets of nutrient management techniques, ranging from suboptimal (50% RDF) to super-optimal doses (150% RDF), including NPK + Zn, NP, N alone, S-free NPK fertilizers, NPK + FYM, and control treatments, to examine the interrelation of S with SOC characteristics. Fourier-transform infrared (FT-IR) spectroscopy was utilized to analyze the functional groups present in SOC characterization across four treatments: 100% NPK, 150% NPK, NPK + FYM, and absolute control plots. Principal component analysis (PCA) was then applied to assess 29 minimal datasets, aiming to pinpoint specific soil characteristics influencing S transformation. In an Inceptisol, the application of fertilizers (100% RDF) in conjunction with 10 t ha−1 of FYM resulted in an increase of S pools from the surface to the subsurface stratum (OS > HSS > SO4 2−–S > WSS), along with an increase in soil N and SOC. FT-IR spectroscopy identified cellulose and thiocyanate functional groups in all four plots, with a pronounced presence of carbohydrate—protein polyphenol, sulfoxide (S=O), and nitrate groups specifically observed in the INM plot. The PCA findings indicated that the primary factors influencing soil quality and crop productivity (r2 of 0.69) are SOC, SMBC, SMBN, SMBS, and the enzyme activity of URE, DHA, and AS. According to the study, the combined application of fertilizer and FYM (10 t ha−1) together exert a positive impact on sulphur transformation, SOC accumulation, and maize yield in sandy clay loam soil.

In this paper, hybrid structure of piperidin—thiosemicarbazone with different substituents; R = −H, −F, −OCH3, −Cl, −NO2 (compounds 1–5) are reported. Structure of synthesized compounds 1–5 were elucidated using spectral characterization. Upon testing the synthesized hybrid structures for anti-inflammatory activity, the compounds exhibited significant effect.

Social-educational robotics, such as NAO humanoid robots with social, anthropomorphic, humanlike features, are tools for learning, education, and addressing developmental disorders (e.g., autism spectrum disorder or ASD) through social and collaborative robotic interactions and interventions. There are significant gaps at the intersection of social robotics and autism research dealing with how robotic technology helps ASD individuals with their social, emotional, and communication needs, and supports teachers who engage with ASD students. This research aims to (a) obtain new scientific knowledge on social-educational robotics by exploring the usage of social robots (especially humanoids) and robotic interventions with ASD students at high schools through an ASD student–teacher co-working with social robot–social robotic interactions triad framework; (b) utilize Business Model Canvas (BMC) methodology for robot design and curriculum development targeted at ASD students; and (c) connect interdisciplinary areas of consumer behavior research, social robotics, and human-robot interaction using customer discovery interviews for bridging the gap between academic research on social robotics on the one hand, and industry development and customers on the other. The customer discovery process in this research results in eight core research propositions delineating the contexts that enable a higher quality learning environment corresponding with ASD students’ learning requirements through the use of social robots and preparing them for future learning and workforce environments.

The current study was carried out at Rezu Khal to determine the ideal area for seaweed farming. Additionally, this investigation uncovered species of commercially productive and lucrative seaweed. Temperature, salinity, pH, dissolved oxygen (DO), conductivity, and Formazin Nephelometric Units (FNU) of surface water ranged from 20.9 to 26.2°C, 24 to 26.2‰, 6.45 to 8.5, 92 to 105%, 33,256 to 64,267 µS/cm, and 11.1 to 42.8, respectively. Phosphate-phosphorus concentrations in surface water were 2.6–7.6 mg/L, 0.04–0.12 mg/L for nitrate-nitrogen, 0.002–0.04 mg/L for nitrite-nitrogen, 0.15–0.83 mg/L for silica, and 0.13–0.28 mg/L for ammonia. Three seaweed species (Gracilaria lemaneiformis, Hypnea musciformes, and Sargassum oligocystum) were cultivated in the selected areas. Two methods (net and long-line) were used for the culture. In this study, 15–20 kg of G. lemaneiformis were harvested every 15 days using the net method. H. musciformes gained 4 to 12 kg every 15 days. Although S. oligocystum thrived nicely, it was challenging to maintain its viability. The findings of this study indicate that seaweed farming is feasible and coastal residents may participate in seasonal income-generating endeavours in coastal waters.

The density (ρ) and speed of sound (u) of binary solutions containing protic ionic liquids such as N‑butyl ethanolammonium acetate [NBEA][Ace] and N‑butyl ethanolammonium propionate [NBEA][Pro] with Dimethyl Sulfoxide (DMSO) were determined over a temperature range of (293.15 to 318.15) K at intervals of 5 K at 0.1 MPa pressure. The apparent molar volume (Vφ), isentropic compressibility (ks) and apparent molar isentropic compressibility (ks,φ) were estimated using the measured data. The apparent molar volume (Vφ∞) and apparent molar isentropic compressibility (kφ∞) at infinite dilution, as well as the related empirical parameters (Sv, Bv, Sk and Bk), were calculated using the Redlich-Mayer type equation. The solute-solute and solute-solvent interactions are indicated by the obtained limiting apparent molar volume and limiting apparent molar isentropic compressibility. Furthermore, the apparent molar expansibility at infinite dilution was calculated using temperature dependent apparent molar volume at infinite dilution (Eφ∞).

This work reveals that the physicochemical properties such as density, ρ and speed of sound, u for the binary mixtures of N-phenylethanolammonium formate ([NPEA][For]) and N-phenylethanolammonium acetate ([NPEA][Ace] with water and ethanol solvents were experimentally measured for the temperature ranges from 293.15 K to 318.15 K at atmosphere pressure. The apparent molar volume, VΦ and apparent molar isentropic compressibility, κs,Φ were estimated from the experimental data. Redlich-Mayer type empirical equation was applied to calculate the limiting apparent molar properties at infinite dilution (Vω∞ and kϕ∞) and corresponding empirical parameters (Sv, Bv, Sk and Bk). The type of interaction either IL-solvent or IL-IL or solvent-solvent occurring in solution were determined from the data of empirical parameters. Furthermore, the temperature dependent apparent molar volume at infinite dilution, Vϕ∞ was used to calculate the apparent molar expansibility at infinite dilution, Eϕ∞. Moreover, these Eϕ∞ values of the studied binary solutions were found to be positive. The making and breaking structure ability of both PILs were analyzed at all experimental conditions.

An advanced and improvised version of a flat plate collector is the solar cavity collector (SCC). The experimental analysis of an SCC with various working parameters is presented in this research paper. Overall dimensions of the SCC are 1.25 × 0.85 × 0.05 m. Initially, SCC has been tested with aluminium and copper as receiver materials. Various length to diameter ratios [L/D ratio] have been experimented viz., 40, 50, and 78.74. Comparisons have been made for its optimal performance with circular and rectangular type cavity and also with cavity cover materials. Pebbles are used in SCC for the improvement in heat exchange as a sensible heat storage material. Further to achieve improved heat transfer rates between the cavity and the transport fluid (water), heat transfer fluid [HTF] has been incorporated in SCC. It has been tested with different mass flow rates of water such as 0.002, 0.0025, 0.003, 0.0035, 0.004, and 0.0067 kg/sec to investigate and find its optimal performance parameter. Copper used as a receiver material gives better performance than other materials. HTF is considerable for larger mass flow rates of water.

We herein report a modified approach for the synthesis of some pharmacologically relevant oxazole derivatives linked with amides under mild conditions. The utilization of polymer-supported triphenylphosphine (poly-TPP) as a phosphine ligand for generating the key iminophosphorane intermediate was found to be vital for achieving the synthesis of oxazole in room temperature. This alternative approach relying on the cyclization reaction of readily available phenacyl azide and phenyl isothiocyanate rendered the oxazole derivative 3a in excellent yield. This methodology has been applied for the synthesis of a more decorated oxazole derivative 3b having ester functionality and was further converted to different amides under microwave irradiation in good to excellent yields in the later stage.

It is mandatory to improve the design of the flat plate collector (FPC) used for solar thermal applications to perform well. One way to improve the performance characteristics of FPC is to retain the heat energy available inside the collector. That is, a collector should be capable to give more heat energy to working fluid for a longer duration. It has been implemented in such a way in an entertained and improved model which is known as solar cavity collector (SCC). It consists of 5 numbers of cavities equipped with inlet and outlet tubes. The same having with an enclosure has been constructed and investigated to find the optimal performance. In general, the physical dimensions of the collector influence more the functioning behaviors of SCC. The performance variables that are considered for the present study are the comparison between 5 and 7 numbers of cavities and the effect of aperture entry. Collector angle of tilt, two types of flow mode, and water mass flow rates are the other performance variables that are also considered. The data from the experimentations are trained, tested, and validated with the help of the artificial neural network (ANN). The accuracy of the model is 96%, and the end results revealed the same trend followed by both experimental and ANN simulation results. Also, the variations that occur between ANN and experimented results are ±4%.

In this research, cobalt oxide produced by the hydrothermal method through the using thioglycolic acid (TGA) as the fuel is discussed in this paper. The produced cobalt oxide nanomaterials are characterized via X-ray diffraction analysis (XRD), high resolution scanning electron microscopy (HR-SEM), high resolution transmission electron microscopy (HR-TEM), diffuse reflectance spectroscopy (DRS). Additionally, as a possible promising application of the cobalt oxide based dye-sensitized solar cells (DSSCs) are successfully fabricated and the cell performances are evaluated. Solar cells have recently drawn a growing research interest due to their increasing power conversion efficiency, proper bandgap, high absorption coefficient and the earth abundant nature. Keywords: Hydrothermal, Structure, Morphology, DSSC and nano

Integration of microbiological data and geographical locations is necessary to understand the spatiotemporal patterns of the microbial diversity of an ecosystem. The Geographic Information System (GIS) to map and catalogue the data on the actinobacterial diversity of the Southern Ocean waters was completed through sampling and analysis. Water samples collected at two sampling stations viz. Polar Front 1 (Station 1) and Polar Front 2 (Station 2) during 7th Indian Scientific Expedition to the Indian Ocean Sector of the Southern Ocean (SOE-2012-13) were used for analysis. At the outset, two different genera of Actinobacteria were recorded at both sampling stations. Streptomyces was the dominanted with the high score (> 60%), followed by Nocardiopsis (< 30%) at both the sampling stations-Polar Front 1 and Polar Front 2-along with other invasive genera such as Agrococcus, Arthrobacter, Cryobacterium, Curtobacterium, Microbacterium, Marisediminicola, Rhodococcus and Kocuria. This data will help to discriminate the diversity and distribution pattern of the Actinobacteria in the Polar Frontal Region of the Southern Ocean waters. It is a novel approach useful for geospatial cataloguing of microbial diversity from extreme niches and in various environmental gradations. Furthermore, this research work will act as the milestone for bioprospecting of microbial communities and their products having potential applications in healthcare, agriculture and beneficial to mankind. Hence, this research work would have significance in creating a database on microbial communities of the Antarctic ecosystem. Keywords: Antarctica, Marine actinobacteria, Southern ocean, GIS, Polar Frontal waters, Microbiome

Of the 13 known species of water shrews in the world, two water shrews are known from India, the Elegant Water Shrew Nectogale elegans and Himalayan Water Shrew Chimmarogale himalayica. Of these, the Elegant Water Shrew was earlier reported only from streams of north Sikkim, and Arunachal Pradesh, India. During the period 2014–2016, the Elegant Water Shrews were sighted at three different locations in Uttarakhand State in the western Himalayan region. The present records are evidence for the broader range of distribution of Nectogale elegans in India indicating that the species is more widely distributed than previously thought. We present the details of sightings, habitats and behavior of shrews that were recorded during our study on impact of climate change on the aquatic ecosystem of the Himalaya.

In the present study, an evaluation has been done on Material Removal Rate (MRR), Surface Roughness (SR) and Electrode Wear Rate (EWR) during Electrical Discharge Machining (EDM) of titanium alloy using copper, brass and aluminum electrodes. Analyzing previous work in this field, it is found that electrode wear and material removal rate increases with an increase current. It is also found that the electrode wear ratio increases with an increase in current. The higher wear ratio is found during machining of titanium alloy using a brass electrode. An attempt has been made to correlate the thermal conductivity and melting point of electrode with the MRR and electrode wear. The MRR is found to be high while machining titanium alloy using brass electrode. During machining of titanium alloy using copper electrodes, a comparatively smaller quantity of heat is absorbed by the work material due to low thermal conductivity. Due to the above reason, the MRR becomes very low. Duringmachining of titanium alloy using aluminium electrodes, the material removal rate and electrode wear rate are only average value while machining of titanium alloy using brass and copper electrodes.

A total of six individuals of S.chinensis were observed near the Jakhau creek, which is the western part of Gulf of Kachchh. The GPS location of the sighting is 23°14’28.5” N and 68°35’54.0" E. The dolphins were spotted in the mid-high tide time on 03 December 2014 at 9.53 hrs (IST). These dolphins were found less than 10 m away from the shore at a depth of 1-10 m. The dolphins were observed for a time period of 20 minutes. The dolphins while leaping continuously, kept following the boat for sometime and approaching as close as five meters during certain occasions. These dolphins were also observed at the same time on the same location on the following day. A questionnaire survey with nearby fishermen had confirmed that these dolphins were seen in this part of Gujarat during winter. Therefore, it is assumed that weather condition and prey availability is favorable for this species during this period. This is the first record of S. chinensis in western shore of Kachchh district detailed study regarding the distribution of this species is required across the creek system of Western Kachchh.

Objective: To investigate the effect of Seaweed Liquid Fertilizer (SLF) of the red seaweed Hypnea musciformis (Wulfen) Lamouroux (H. musciformis). on the growth, biochemical and pigment characteristics of Arachis hypogea (A. hypogea). Methods: Experiments were conducted on ground nut to study the potential red alga of H. musciformis as a biofertilizer. The seeds were sown in soil and SLF were added to soil bed in five different concentrations separately (1%, 2%, 4%, 6% and 8% w/v). Results: The 2% concentration of water extract showed better results of growth parameters, biochemical and pigments constitutions. Among the different concentrations of SLF investigated, the plants that received with 2% SLF showed maximum germination percentage, fresh weight, dry weight, root and shoot length, number of branches, leaf area, root nodules and content of total chlorophyll, chlorophyll a and b, protein, carbohydrate and lipid were observed at 2% concentration of SLF. The leaf of 2% SLF treated A. hypogea has subjected to Scanning Electron Microscopy with Energy Dispersive spectroscopic analysis, it revealed that the presence of ten elements in the following order: Ca>P>N>Na>K>Mg>Mn>S>Fe>Zn in treated and Ca>N>P>Na>Mg>Mn>K>Zn>S>Fe in control plant. The data generated from study reveal that SLF of H. musciformis could be used as foliar spray at low concentration of 2% to maximize the growth and yield of A. hypogea and also increase the number of stomata in the leaf. Conclusion: It is suggested that there are considerable gains to be made in increasing yield and stabilizing the yield in environments characterized by terminal requirement for organic and by shortening crop duration nutrient management appear promising.

The aim of the present study was to analyse the influence of year, season and parity on productive and reproductive performances in 110 Soviet Chinchilla and 64 White Giant rabbits under tropical climatic conditions of Tamil Nadu in the period between 2005 and 2009. A total of 731 records for the overall leastsquares means for litter size at birth and weaning, litter weight at birth and weaning, average weight of kit at birth and weaning and pre-weaning growth rate in Soviet Chinchilla rabbits were 5.1±0.1, 3.7±0.1, 256.4±6.9 g, 2465.4±73.6 g, 50.4±0.7 g, 694.1±13.1 g and 15.3±0.3 g/d, respectively, and the values for White Giant rabbits were 5.1±0.1, 4.1±0.1, 259.6±6.1 g, 2432.6±68.7 g, 50.8±0.4 g, 614.6±13.5 g and 13.4±0.3 g/d, respectively. Breed had significant effect on litter size at weaning (Pat weaning (PPlitter weight at birth (PPand pre-weaning growth rate (Psignificant effect on litter weight at birth and weaning (PPweaning (PPlitter weight and average weight of kits at weaning (PP

The Okhla Bird Sanctuary (OBS), a man-modified floodplain wetland having high human impact, is located in an urbanized landscape. Its location in the Central Asian Flyway of migratory birds makes it an ideal transit and wintering ground for birds. This paper describes the vegetation composition and significance of the Sanctuary as a bird habitat. A floristic survey was carried out from winter 2009 to spring 2010 while preparing a management plan for OBS. 192 species of plants belonging to 46 families were recorded from the area. Thirteen species of weeds were observed covering 70% of the sampled area in peak summer. Among trees, highest density was found for two exotic species viz., Leucaena leucocephala and Prosopis juliflora. The aquatic system is facing threat from proliferation of Eichhornia cressipes and Typha angustifolia. Strategic eradication of invasive and plantation of native species in the sanctuary are needed for better management.

A broiler biological experiment was conducted to study the effect of various n-3 lipid sources independently and simultaneously (at one, two and three per cent levels) in broiler ration from day old chick to 7 weeks of age. Fish, linseed and rapeseed oils were used as n-3 lipid sources to enrich n-3 fatty acids in chicken meat. The supplementation of n-3 lipid sources in broiler ration had significant increase in Omega – 3 fatty acids composition such as linolenic acid (LNA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), total n-3, total n-3/n-6 fatty acids ratio of broiler meat and a significant reduction in palmitic and stearic acid concentrations. The inclusion of n-3 lipid sources in broiler ration had no adverse effect on meat quality in terms of organoleptic assessment such as appearance, juiciness, flavour, tenderness and overall acceptability scores.

Growing attractiveness of Mobile Ad Hoc Networks (MANETs), its features, and usage has led to the launching of threats and attacks to bring negative consequences in the society. The typical features of MANETs, especially with dynamic topology and open wireless medium, may leave MANETs vulnerable. Trust management using uncertain reasoning scheme has previously attempted to solve this problem. However, it produces additional overhead while securing the network. Hence, a Location and Trust-based secure communication scheme (L&TS) is proposed to overcome this limitation. Since the design securing requires more than two data algorithms, the cost of the system goes up. Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. The Elliptic Curve function is used to isolate a malicious node, thereby incorporating secure data transfer. Simulation results show that the dynamic estimation of the metrics improves throughput by 26% in L&TS when compared to the TMUR. ACFG achieves 33% and 51% throughput increase when compared to L&TS and TMUR mechanisms, respectively.

The paper reports the first sighting of a live Bryde’s Whale Balanoptera edeni / brydei from Odisha waters with notes on its behaviour. The paper also discusses an adjacent Bryde’s Whale population in Bangladesh, north of Odisha; previous records of Bryde’s Whales from Indian waters and possible threats to these cetaceans due to development activities in Odisha waters.

Some colonies of Porites sp. at Poshitra Reef were spotted with pink swollen nodules. These nodules are termed as a condition called “Porites trematodiasis” which is due to an infection of digenetic trematodes. The temperature fluctuation and anthropogenic pressures are perhaps the reasons. This situation indicates that if the corals fail to develop disease resistance and thermal tolerance, the reefs along the Indian subcontinent may experience a phase shift in community structure, which could impact fisheries.

Products such as cars, trucks, and heavy machinery are assembled by two-sided assembly line. Assembly line balancing has significant impacts on the performance and productivity of flow line manufacturing systems and is an active research area for several decades. This paper addresses the line balancing problem of a two-sided assembly line in which the tasks are to be assigned at L side or R side or any one side (addressed as E). Two objectives, minimum number of workstations and minimum unbalance time among workstations, have been considered for balancing the assembly line. There are two approaches to solve multiobjective optimization problem: first approach combines all the objectives into a single composite function or moves all but one objective to the constraint set; second approach determines the Pareto optimal solution set. This paper proposes two heuristics to evolve optimal Pareto front for the TALBP under consideration: Enumerative Heuristic Algorithm (EHA) to handle problems of small and medium size and Simulated Annealing Algorithm (SAA) for large-sized problems. The proposed approaches are illustrated with example problems and their performances are compared with a set of test problems.

In the title compound, C20H27N3O4, both cyclohexane rings adopt chair conformations. The benzene ring and the amide group are oriented at a dihedral angle of 62.1 (2)°. In the crystal structure, intermolecular N—H...O and C—H...O hydrogen bonds link the molecules into chains propagating in [010], which contain R22(12) ring motifs.

In the title compound, C28H38N2O3, the central ring of the acridinedione system adopts a boat conformation, while one of the outer rings adopts a half-chair conformation and the conformation of the other outer ring is between a sofa and a half-chair. The acridinedione system is buckled, with an angle of 22.01 (3)°. The crystal packing comprises layers of molecules laid parallel to the ac plane, being reinforced by an intermolecular C—H...O interaction.

Background: Diabetes mellitus is a rapidly increasing global health concern, having a substantial impact on morbidity and mortality. Glycated hemoglobin (HbA1c) is the primary measure of diabetes control, reflecting glycemic levels over the past 3 months. However, hemoglobin (Hb) abnormalities, such as those seen in iron deficiency anemia (IDA), can theoretically affect HbA1c levels. IDA, affecting over 30% of the global population, results from inadequate iron intake, hemorrhage, or poor iron absorption, leading to reduced Hb production. This study aims to evaluate the impact of IDA on HbA1c levels in non-diabetic patients, providing insights into accurate HbA1c interpretation in anemic patients. Aims and Objectives: The study aimed to determine the impact of IDA on HbA1c levels in non-diabetic individuals. Materials and Methods: This cross-sectional study was conducted over 6 months at Trichy SRM Medical College Hospital and Research Center. There were a total of 100 IDA patients and 100 age- and sex-matched healthy controls. Hb levels below 10 g/dL with a microcytic image suggestive of iron deficiency, postprandial blood sugar (PPBS) levels below 140 mg/dL following an oral glucose tolerance test (OGTT), and fasting blood sugar (FBS) levels below 100 mg/dL were the inclusion criteria. Exclusion criteria included Hb levels above 10 g/dL, altered FBS or PPBS values post-OGTT, diagnosed Type 2 diabetes mellitus, individuals younger than 18 years, and those with conditions such as hemoglobinopathies, hemolytic anemia, hypothyroidism, pregnancy, or abnormal renal function tests. Ethical approval and informed consent were obtained. Data collection included demographics, medical history, and laboratory investigations. Statistical analysis was performed using SPSS version 26, with t-tests, mean, and standard deviation (SD) for association analysis, and Chi-square tests for sex comparisons. Correlations were assessed through t-test. The significance level was kept at 0.05. Results: The study confirmed that both groups met the inclusion criteria for non-diabetic status. The control group exhibited normal Hb levels, whereas the study group had Hb levels indicative of IDA. General and systemic examination findings were normal in both groups. Significant differences were observed across all measured parameters, with Hb levels, serum ferritin, mean corpuscular volume, mean corpuscular Hb, mean corpuscular Hb concentration, and red cell distribution width significantly lower in the study group. HbA1c levels were significantly elevated in the study group compared to the control group (5.87 ± 1.25 vs. 4.97 ± 1.59, P < 0.001), supporting the hypothesis that IDA is associated with elevated HbA1c levels in non-diabetic patients. Conclusion: The study's findings align with previous research indicating that IDA leads to elevated HbA1c levels. The prolonged erythrocyte survival and altered Hb glycation processes in IDA are likely contributors to this elevation. These results emphasize the need to consider anemia status when interpreting HbA1c values to avoid misdiagnosis and inappropriate management of diabetes. Clinicians should ensure comprehensive evaluations, including iron status assessments when encountering unexpectedly high HbA1c levels in non-diabetic individuals. [ABSTRACT FROM AUTHOR]

This study explores the improvement of a learning management system (LMS) prediction model utilizing deep learning methods to improve educational outcomes in numerous learning environments. Transitioning from traditional to digital learning has posed challenges, inclusive of decreased flexibility and student engagement. Our research delves into those transitions' impacts on student success, focusing on customized learning studies, effective resource provisioning, and predictive analysis the usage of advanced computational methods. We employed deep learning techniques to analyze data from different learning modalities, together with cloud-based platforms and blended learning contexts, to expect pupil performance and resource desires appropriately. The evaluation involved neural networks and machine learning algorithms like Random forest, implemented to datasets from instructional settings to identify at-risk students and optimize learning management structures for better instructional consequences. [ABSTRACT FROM AUTHOR]