161 research outputs found

    Corrosion Inhibition of Laser Welded Mg AZ31B-H24 Alloy in NaCl Medium Using Pectin as an Eco-Friendly Inhibitor

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    A magnesium alloy material possesses properties like stiffness, strength, chemical activity, good machinability, etc. which loses its corrosion resistance caused by the chemical activity of active magnesium. To control the corrosion of magnesium AZ31B-H24 alloy, an eco-friendly, water-soluble, cheap, and readily available inhibitor like pectin can be used as an inhibitor in a 5% NaCl medium. To confirm the adsorption of inhibitor molecules on the metal surface, weight loss and surface studies (SEM) were carried out. In addition, the Langmuir adsorption isotherm also confirms the presence of a monolayer on the magnesium surface. The results revealed that the pectin molecules acted as an efficient inhibitor for both welded and non-welded specimens of Mg alloy

    Removal and degradation of mixed dye pollutants by integrated adsorption-photocatalysis technique using 2-D MoS2/TiO2 nanocomposite

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    Two-dimensional (2D) Molybdenum disulfide (MoS2) has become one of the most exciting areas of research for adsorbents due to its high surface area and abundant active sites. Mainly, 2D MoS2 show promising removal of textile dye pollutants by adsorption process, but it show high affinity for anionic type of dyes, that limits its performance in mixed dye pollutants treatment. Herein, we demonstrate an integrated approach to remove mixed dye pollutants (anionic and cationic) concurrently by combining adsorption and photocatalysis process. We synthesize MoS2/TiO2 nanocomposites for different weight percentages 2.5, 5, 10, 20, 30 and 50 wt% of pre-synthesized flower-like MoS2 nanoparticle by a two-step hydrothermal method. We demonstrate a new process of two-stage adsorption/photocatalysis using high wt% of MoS2 (Stage-I) and low wt% of MoS2 (Stage-II) nanocomposites. The proposed two-stage integrated adsorption and photocatalysis process using 50% and 2.5% of MoS2 coated TiO2, respectively showed complete removal of methylene blue dye ∼5 times faster than conventional single-stage (adsorption or photocatalysis) water treatment process. Furthermore, the feasibility of the proposed two-stage method in mixed dye pollutants removal (anionic and cationic) testified, which showed excellent performance even in doubling the dye pollutant concentration. This work brings a deeper insight into understanding the morphology and concentration of 2-D MoS2 in MoS2/TiO2 nanocomposite in tackling mixed dye pollutants and the possibilities of applying in textile dyeing industries wastewater treatment plants

    3-[(Z)-Benzyl­idene]-2,3-dihydro-1,5-benzothia­zepin-4(5H)-one

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    In the title compound, C16H13NOS, the seven-membered ring adopts a distorted half-chair conformation. In the crystal, mol­ecules are linked by N—H⋯O hydrogen bonds, forming chains running along the b axis. The crystal packing is further stabilized by C—H⋯O inter­actions

    A novel hybrid intelligence approach for 2D packing through Internet crowdsourcing

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    Packing problems on its current state are being utilized for wide area of industrial applications. The aim of present research is to create and implement an intelligent system that tackles the problem of 2D packing of objects inside a 2D container, such that objects do not overlap and the container area is to be maximized. The packing problem becomes easier, when regular/rectangular objects and container are used. In most of the practical situations, the usage of irregular objects comes to existence. To solve the packing problem of irregular objects inside a rectangular container, a hybrid intelligence approach is introduced in our proposed work. The combination of machine intelligence and human intelligence is referred as the hybrid intelligence or semi-automated approach in the proposed methodology. The incorporation of human intelligence in the outcome of machine intelligence is possible to obtain using the internet crowdsourcing as we wish to handle the packing problem through internet crowdsourcing involving rural people. The proposed methodology is tested on different standard data sets and it is observed that it has clear advantage over both manual as well as fully automated heuristic based methods in terms of time and space efficiency

    Transcriptomic analysis of s-methoprene resistance in the lesser grain borer, Rhyzopertha dominica, and evaluation of piperonyl butoxide as a resistance breaker

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    The lesser grain borer, Rhyzopertha dominica is a serious pest of stored grains. Fumigation and contact insecticides play a major role in managing this pest globally. While insects are developing genetic resistance to chemicals, hormonal analogues such as s-methoprene play a key role in reducing general pest pressure as well as managing pest populations that are resistant to fumigants and neurotoxic contact insecticides. However, resistance to s-methoprene has been reported in R. dominica with some reports showing a remarkable high resistance, questioning the use of this compound and other related analogues in grain protection. The current study attempts to identify possible molecular mechanisms that contribute in resistance to s-methoprene in R. dominica

    A Non-Commutative Extension of MELL

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    We extend multiplicative exponential linear logic (MELL) by a non-commutative, self-dual logical operator. The extended system, called NEL, is defined in the formalism of the calculus of structures, which is a generalisation of the sequent calculus and provides a more refined analysis of proofs. We should then be able to extend the range of applications of MELL, by modelling a broad notion of sequentiality and providing new properties of proofs. We show some proof theoretical results: decomposition and cut elimination. The new operator represents a significant challenge: to get our results we use here for the first time some novel techniques, which constitute a uniform and modular approach to cut elimination, contrary to what is possible in the sequent calculus

    Diagnostic tools in diagnosing acute appendicitis - Alvarado Score, CRP, USG, and CT (Abdomen)

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    Aims. To evaluate scope of diagnosing tools-Alvarado score, CRP, USG, and CT in acute appendicitis. Method. Conducted observational study of 152 patients in Department of Emergency Medicine, Sri Ramachandra Medical College and Research Institute, Chennai, India between January to December 2022. The diagnostic tool’s (Alvarado score, CRP, USG, CT (abdomen), sensitivity, specificity, accuracy, and ROC were analyzed to diagnose acute appendicitis. Results. Among 152 study patients, males - 86, females - 66, higher number of age group was <30 years, abnormal variables in study patients are BP - 79%, HR - 80%, RFP pain - 57%, anoxia - 78%, nausea/ vomiting - 68%, RIF tenderness - 69%, rebound tenderness - 63.8%, elevated temperature - 62%, pain - 44.7%, leukocytosis - 70.7%, and left shift - 38.2%. In comparison, Alvarado scores-identified 98% patients, (7-61.2%) (0.0271), CRP - identified 95.1% (<0.001), USG identified (group 1-33%, group 2-12.2%, group 3-11.3%, and group 4-43.5%, and CT identified 152/152 (100%) patients with acute appendicitis. The odds ratio/95% CI of diagnostic tools (USG - 0.878, 0.66, CRP - 7.337, 2.623, Alvarado score - 0.81, 0.687). Sensitivity (Alvarado's score - 84.74%, USG - 83.33%, CRP - 76.43%), and specificity was (Alvarado's score - 84.32, USG - 72.97%, CRP-83.86%. The PPV (Alvarado's score - 74.56%, USG -75.5%, CRP - 33.16%), NPV (Alvarado's score - 32.5%, USG - 79.1%, CRP - 81.03%), and diagnostic accuracy (Alvarado's score - 72.01%, USG - 73.05%, CRP - 68.81%). ROC in individual tools-Alvarado score was specific than USG, and CRP. ROC in combination tools Alvarado score and USG was specific than USG, and CRP. Conclusion. Among the diagnostic tools tested, as individual tool-Alvarado score was specific, in combination, and Alvarado score and USG were accurate, specific, sensitive, hence combination of tools will identify acute appendicitis early to reduce mortality by undiagnosed or late diagnosed

    Efficacy and Safety of a Brain-Penetrant Biologic TNF-α Inhibitor in Aged APP/PS1 Mice

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    Tumor necrosis factor alpha (TNF-α) plays a vital role in Alzheimer’s disease (AD) pathology, and TNF-α inhibitors (TNFIs) modulate AD pathology. We fused the TNF-α receptor (TNFR), a biologic TNFI that sequesters TNF-α, to a transferrin receptor antibody (TfRMAb) to deliver the TNFI into the brain across the blood–brain barrier (BBB). TfRMAb-TNFR was protective in 6-month-old transgenic APP/PS1 mice in our previous work. However, the effects and safety following delayed chronic TfRMAb-TNFR treatment are unknown. Herein, we initiated the treatment when the male APP/PS1 mice were 10.7 months old (delayed treatment). Mice were injected intraperitoneally with saline, TfRMAb-TNFR, etanercept (non-BBB-penetrating TNFI), or TfRMAb for ten weeks. Biologic TNFIs did not alter hematology indices or tissue iron homeostasis; however, TfRMAb altered hematology indices, increased splenic iron transporter expression, and increased spleen and liver iron. TfRMAb-TNFR and etanercept reduced brain insoluble-amyloid beta (Aβ) 1-42, soluble-oligomeric Aβ, and microgliosis; however, only TfRMAb-TNFR reduced Aβ peptides, Thioflavin-S-positive Aβ plaques, and insoluble-oligomeric Aβ and increased plaque-associated phagocytic microglia. Accordingly, TfRMAb-TNFR improved spatial reference memory and increased BBB-tight junction protein expression, whereas etanercept did not. Overall, despite delayed treatment, TfRMAb-TNFR resulted in a better therapeutic response than etanercept without any TfRMAb-related hematology- or iron-dysregulation in aged APP/PS1 mice
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