Prevalence of thyroid dysfunction in pregnant women and the need for universal screening: an observational study in Northern Andhra Pradesh population

Background: The maternal thyroid dysfunction is associated with adverse outcomes such as miscarriage, preterm delivery, preeclampsia, postpartum haemorrhage in mother whereas increased risk of impaired neurological development in foetus. The present study was designed with an aim to determine the prevalence of thyroid dysfunction and the need for universal screening in pregnant women.Methods: Three hundred and eighty pregnant women between 8-36 weeks of gestation with age group 20-32 years were recruited. Serum free T3, free T4 and TSH levels were assayed by chemiluminescence method. The pregnant women were classified into euthyroid, subclinical hypothyroid (SH), overt hypothyroid (OH) and overt hyperthyroid groups based on the results obtained in the study.Results: In the present study, the mean ± SD age (in years) and BMI of all pregnant women was 23.9±3.9 and 22.9±1.6 respectively. The maternal age was high in OH and overt hyperthyroid and was statistically significant (p<0.05). Similarly, women with high BMI were prone to OH than normal BMI (p<0.05). The prevalence of thyroid dysfunction was found to be 18.7%. The prevalence of hypothyroidism was 17.4% in which the SH was 13.4% and overt hypothyroidism 3.9%, but overt hyperthyroidism was 1.3%. TSH levels increased with the advancement of gestational age from 2.72±1.85 in first trimester to 3.4±2.05 µIU/mL in third trimester, and the difference was statistically significant (p<0.05). Finally, it was also noticed that the prevalence of raised TSH in high-risk pregnant women was high compared to low-risk women (35.6% vs 5.1%) relative risk (RR) 7.64, 95% confidence interval (CI) 4.62-12.65, (p<0.0001). However, 14 out of 51 (27.5%) with SH were in low-risk group.Conclusions: The present study states that the prevalence of thyroid dysfunction was 18.7% and also emphasizes the importance of screening all pregnant women for thyroid dysfunction rather than targeted high-risk pregnant women to prevent both maternal and fetal morbidity

Configuring and Implementing IPS Solutions for IoT Devices using NST

The necessity to ensure that Internet of Things (IoT) networks are secure is one of the biggest issues that has arisen as a result of the growing demand for technology that uses the IoT. Considering how many gadgets are linked to the internet, safeguarding their networks is a growing worry. Due to the IoT's network's complexity and resource constraints, traditional intrusion detection systems encounter a number of problems. The main objectives of this project are to design, develop, and evaluate a hybrid level placement method for an IDS based on multi- agent systems, BC technology (Block-Chain), and DL algorithms (Deep Learning). The breakdown of data administration, data collection, analysis, and reaction into its component parts reveals the overall system design. The National Security Laboratory's knowledge discovery and data mining dataset is used to test the system as part of the validation procedure. These results demonstrate how deep learning algorithms are effective at identifying risks at the network and transport levels. The experiment shows that deep learning techniques function well when used to find intrusions in a network environment for the Internet of Things

Security in 5G Networks: A Systematic Analysis of High-Speed Data Connections

Maximum user systems on 5G networks will now not be consumer phones or computers, but IoT device. Via 2021, there might be about 30 billion such devices. The quantity of attacks on the IoT is growing. Device protection is terrible and malware distribution is without problems scalable. Protection has ended up the primary challenge in many telecommunications industries these days as risks may have high outcomes. especially, because the center and enable technologies might be related to the 5G network, the confidential information will pass at all layers in destiny Wi-Fi structures. Even with modern-day 4G networks, now not each operator succeeds in securely configuring the center network and protecting it from all angles. As SDN and NFV are carried out for network cutting in 5G, the administration will become even extra difficult. Flexibility in 5G networks comes at the fee of multiplied complexity and high bandwidth communication settings to monitor. 5G will offer broadband access anywhere, entertain better person mobility, and permit connectivity of a large number of devices in an ultra- reliable and low-priced manner. Furthermore, we present protection solutions to those demanding situations and future instructions for secure 5G systems

ASSESSMENT OF SERUM LIPID PROFILE IN HYPERTENSIVE PATIENTS: A CASE-CONTROL STUDY

Background: Hypertension and dyslipidemia are strongly associated with each other, and they are the most common risk factors for the development of the cardiovascular disease. Aim: Compare the serum lipid profile values among hypertensive patients and non-hypertensive individuals. Method: 30 patients with Hypertension and 30 age-matched non-hypertensive controls were included in the study. From the serum, total cholesterol levels were estimated by enzymatic (CHOD-PAP) colorimetric method, triglyceride by enzymatic (GPO-PAP) method, HDL-cholesterol and LDL-cholesterol were estimated using precipitant and Friedewald formula, by using commercially available reagent kits. Lipid profiles were compared with controls. Results: The mean values of total cholesterol were significantly more in Hypertensives-202.93 ± 28.44 and normotensives-178.76 ± 37.21, P<0.006. The mean values of triglycerides were significantly more in Hypertensives-139.8 ± 18.72 and normotensives-125.8± 12.34, P<0.001. The mean values of LDL-Cholesterol were significantly more in Hypertensives-141.63 ± 11.59 and normotensives-127.83 ± 14.65, P<0.0001. Conclusions: As Dyslipidemia is associated with Hypertension, serum lipid profile may be useful in the identification of patients at risk of Hypertension. Hypertensive patients need the measurement of blood pressure and lipid profile at regular intervals to prevent Cardiovascular diseases. Keywords: Cholesterol; Cardiovascular Diseases; Hypertension; Triglycerides; Dyslipidemia

ASSESSMENT OF SERUM LIPID PROFILE IN HYPERTENSIVE PATIENTS: A CASE-CONTROL STUDY

Background: Hypertension and dyslipidemia are strongly associated with each other, and they are the most common risk factors for the development of the cardiovascular disease. Aim: Compare the serum lipid profile values among hypertensive patients and non-hypertensive individuals. Method: 30 patients with Hypertension and 30 age-matched non-hypertensive controls were included in the study. From the serum, total cholesterol levels were estimated by enzymatic (CHOD-PAP) colorimetric method, triglyceride by enzymatic (GPO-PAP) method, HDL-cholesterol and LDL-cholesterol were estimated using precipitant and Friedewald formula, by using commercially available reagent kits. Lipid profiles were compared with controls. Results: The mean values of total cholesterol were significantly more in Hypertensives-202.93 ± 28.44 and normotensives-178.76 ± 37.21, P<0.006. The mean values of triglycerides were significantly more in Hypertensives-139.8 ± 18.72 and normotensives-125.8± 12.34, P<0.001. The mean values of LDL-Cholesterol were significantly more in Hypertensives-141.63 ± 11.59 and normotensives-127.83 ± 14.65, P<0.0001. Conclusions: As Dyslipidemia is associated with Hypertension, serum lipid profile may be useful in the identification of patients at risk of Hypertension. Hypertensive patients need the measurement of blood pressure and lipid profile at regular intervals to prevent Cardiovascular diseases. Keywords: Cholesterol; Cardiovascular Diseases; Hypertension; Triglycerides; Dyslipidemia

Tuning spin one channel to exotic orbital two-channel Kondo effect in ferrimagnetic composites of LaNiO3 and CoFe2O4

We report the tuning from spin one channel (1CK) to orbital two-channel Kondo (2CK) effect by varying CoFe2O4 (CFO) content in the composites with LaNiO3 (LNO) along with the presence of ferrimagnetism. Although there is no signature of resistivity upturn in case of pure LNO, all the composites exhibit a distinct upturn in the temperature range 30-80 K. For composite with lower percentage of CFO (10 %), the electron spin plays the key role in the emergence of resistivity upturn which is affected by external magnetic field. On the other hand, when the CFO content is increased (15%), the upturn shows strong robustness against high magnetic field (14 T) and a crossover in temperature variation from lnT to T^1/2 at the Kondo temperature, indicating the appearance of orbital 2CK effect. The orbital 2CK effect is originated due to the scattering of conduction electrons from the structural two-level systems which is created at the interfaces between the two phases (LNO and CFO) of different crystal structures as well as inside the crystal planes. A negative magnetoresistance (MR) is observed at low temperature (< 30 K) for composites containing both lower (10 %) and higher percentage (15 %) of CFO. We have analyzed the negative MR using Khosla and Fisher semi-empirical model based on spin dependent scattering of conduction electrons from localized spins.Comment: 14 pages including supplementary materials and 12 figure

Constraining Scalar Leptoquarks from the K and B Sectors

Upper bounds at the weak scale are obtained for all $\lambda_{ij}\lambda_{im}$ type product couplings of the scalar leptoquark model which may affect K-K(bar), B_d-B_d(bar), and B_s-B_s(bar)$ mixing, as well as leptonic and semileptonic K and B decays. Constraints are obtained for both real and imaginary parts of the couplings. We also discuss the role of leptoquarks in explaining the anomalously large CP-violating phase in B_s-B_s(bar) mixing.Comment: 16 pages, 5 figures, more constraints analyzed, added a number of reference

Clinical outcomes following surgical management of brain abscess in a tertiary care centre: retrospective analysis of 56 cases

Background: Despite the advent of newer antibiotics and surgical strategies, the overall outcome and quality of life issues in Brain Abscess (BA) patients remain a continuous challenge for the neurosurgical community.Methods: Fifty-six patients with BA are analyzed retrospectively, that treated between January 2014 and June 2019, according to age, the clinical symptoms, etiologic factors, infecting organisms, prognostic factors, localization, diagnostic and treatment methods and outcome.Results: In acute cases, common clinical features were headache, fever, vomiting, focal deficit and seizure. In chronic abscesses, common clinical features were mild to moderate headache and progressive focal deficit. In 12(21.42%) patients had adjacent localized sinus, middle ear infection. In 27(48.21%) patients no primary source of infection was identified, predisposing factors included post neurosurgery (8.92%), post penetrating injury (3.57%), and congenital heart disease, infective endocarditis, sinusitis. The frontal lobe involved in 28.5% cases, temporal lobe and cerebellum are next to be involved. Burr hole aspiration in 29(51.78%) cases, a craniotomy was done in 15(26.78%) cases. Pus culture was negative in 36 (64.28%) cases. Mortality was noted in 2(3.57%) cases. Complete resolution of the abscess with complete recovery of preoperative neuro-deficit was seen in 71.42% cases and recovery with major neuro-deficit was observed in 16.07% cases. The best outcome was seen with a better Glasgow Coma Scale (GCS) on admission.Conclusions: BA, when surgery is required, should be done on an emergency basis. BA treated with burr hole aspiration shows excellent clinical and radiological response. A craniotomy is required in selected cases and is a primary procedure in cerebellar, postoperative and posttraumatic abscesses. Broad-spectrum antibiotic therapy should be administered for a period of minimum 6 weeks to prevent relapse

Chemical Oscillations in Mn2+-catalysed Belousov-Zhabotinskii Reaction in Orthophosphoric Acid Medium

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