2-[2-(1,3-Dioxoisoindolin-2-yl)acetamido]­acetic acid

The title mol­ecule, C12H10N2O5, is non-planar with dihedral angles of 89.08 (7) and 83.21 (7)° between the phthalimide and acetamide mean planes, and the acetamide and acetic acid mean planes, respectively. In the crystal, symmetry-related mol­ecules are linked via N—H⋯O and O—H⋯O hydrogen bonds, forming an undulating two-dimensional network. There are also a number of weak C—H⋯O inter­actions, leading to the formation of a three-dimensional arrangement

catena-Poly[[triphenyl­tin(IV)]-μ2-[3-(cyclo­hexyl­carbamo­yl)propanoato-κ2 O 1:O 3]]

The Sn atom in the polymeric title compound, [Sn(C6H5)3(C10H16NO3)]n, is five-coordinated within a trans-C3O2 donor set that defines an approximate trigonal-bipyramidal geometry. The carboxyl­ate ligand is monodentate and the amide O atom bridges a symmetry-related Sn atom, generating a chain along [010] with a linear topology. An intra­molecular carboxyl­ate–carbonyl N—H⋯O hydrogen bond is responsible for the curved conformation within the carboxyl­ate ligand

A clinical study of arrhythmias associated with acute coronary syndrome: a hospital based study of a high risk and previously undocumented population

Background: ACS represents a global epidemic. Arrhythmia in ACS is common. Careful investigation may lead to further improvement of prognosis. Retrospectively analyzed the year- round data of our center. Study was undertaken to analyze the incidence, frequency and type of arrhythmias in ACS. This is to aid timely intervention and to modify the outcome. Identification of the type of arrhythmia is of therapeutic and prognostic importance.Methods: This cross sectional analytical study was conducted in the Department of Cardiology, Apollo Hospitals Dhaka, from January 2019 to January 2020 with ACS patients. Enrolled consecutively and data analyzed.Results: There were 500 patients enrolled considering inclusion and exclusion criteria. Sample was subdivided into 3 groups on the type of ACS. Group-I with UA, Group-II with NSTE - ACS and Group-III with STE - ACS. Different types of arrhythmia noted. Types of arrhythmia were correlated with type of ACS. 500 patients included. Mean age 55.53±12.70, 71.6% male and 28.4% female. 60.4% hypertensive, 46.2% diabetic, 20.2% positive family history of CAD, 32.2% current smoker, 56.4% dyslipidaemic and 9.6% asthmatic. 31.2% UA, 39.2% NSTE-ACS and 29.6% STE-ACS. Type of arrhythmias noted. 22% sinus tachycardia, 20.2% sinus bradycardia, 9% atrial fibrillation, 5.2% ventricular ectopic, 4.8% supra ventricular ectopic, 2.8% bundle branch block, 2.2% atrio-ventricular block, 1% broad complex tachycardia, 0.4% narrow complex tachycardia, 0.2% sinus node dysfunction and 32.2% without any arrhythmia. Significant incidences of arrhythmia detected - respectively 29.8%, 39.2% and 31%, p<0.001.Conclusions: In conclusion, arrhythmias in ACS are common. More attention should be paid to improve their treatment and prognosis

catena-Poly[[triphenyltin(IV)]-mu(2)-[3-(cyclohexylcarbamoy)propan oato-kappa O-2(1):O-3]]

The Sn atom in the polymeric title compound, [Sn(C6H5)(3)-(C10H16NO3)](n), is five-coordinated within a trans-C3O2 donor set that defines an approximate trigonal-bipyramidal geometry. The carboxylate ligand is monodentate and the amide O atom bridges a symmetry-related Sn atom, generating a chain along [010] with a linear topology. An intramolecular carboxylate-carbonyl N-H center dot center dot center dot O hydrogen bond is responsible for the curved conformation within the carboxylate ligand

Polysaccharide-based hydrogels for microencapsulation of bioactive compounds: A review

Natural polymer hydrogels are gaining a lot of interest because of their high biocompatibility, nontoxicity, easy gelation, and functionalization. Polysaccharide-hydrogels, which are employed in a variety of sectors, may alter volume, phase, and structure in response to external stimuli. The delivery technique based on polysaccharides and the release of bioactive substances may have an effect on the gastrointestinal system. The regulated release of bioactive substances encapsulated in core materials is critical in delivering compounds to the target. The releasing property is largely influenced by the polymer's encapsulation efficiency and affinity for bioactive compounds. The most basic method of trapping bioactive compounds inside the polysaccharide hydrogel matrix results in a perfect situation of prolonged and smooth release. The polysaccharide material is readily accessible, and its biocompatibility makes it an excellent active component encapsulation medium. The biochemical phase shift and surface flexibility of the hydrogels in response to external stimuli cause the material to release bioactive components. This study highlights the encapsulation efficiency of diverse polysaccharide hydrogels incorporating different bioactive compounds obtained through various extraction methods, and explores their applicability in various fields

Effect of Reynolds numbers on flow past four square cylinders in an in-line square configuration for different gap spacings

In this paper two-dimensional (2-D) numerical investigation of flow past four square cylinders in an in-line square configuration are performed using the lattice Boltzmann method. The gap spacing g=s/d is set at 1, 3 and 6 and Reynolds number ranging from Re=60 to 175. We observed four distinct wake patterns: (i) a steady wake pattern (Re=60 and g=1) (ii) a stable shielding wake pattern (80≤Re≤175 and g=1) (iii) a wiggling shielding wake pattern (60≤Re≤175 and g=3) (iv) a vortex shedding wake pattern (60≤Re≤175 and g=6) At g=1, the Reynolds number is observed to have a strong effect on the wake patterns. It is also found that at g=1, the secondary cylinder interaction frequency significantly contributes for drag and lift coefficients signal. It is found that the primary vortex shedding frequency dominates the flow and the role of secondary cylinder interaction frequency almost vanish at g=6. It is observed that the jet between the gaps strongly influenced the wake interaction for different gap spacing and Reynolds number combination. To fully understand the wake transformations the details vorticity contour visualization, power spectra of lift coefficient signal and time signal analysis of drag and lift coefficients also presented in this paper