The hair cell antigen/PTPRQ: lipid phosphatase activity, intracellular domain interactors, apical targeting and evidence that it is a proteoglycan

Ptprq, a receptor-like phosphatase known to be associated with the shaft connectors of stereocilia, is a protein required for the maintenance of the hair-bundle structure. The extracellular domain of Ptprq has numerous potential sites for N-glycosylation and the cytoplasmic domain has phosphatidyl inositol phosphatase activity in vitro. The current project was aimed at determining whether Ptprq regulates inositol phosphate levels in the hair bundle, identifying the intracellular binding partners of Ptprq, understanding what targets Ptprq to the apical membrane, and finally, elucidating whether Ptprq is a proteoglycan. The results show that EHD3, a protein involved in endocytosis, interacts with the intracellular domain of Ptprq and that a major part of the apical targeting signal in Ptprq lies in the N-glycosylated moieties of the extracellular domain. Also, evidence was found indicating that Ptprq is a chondroitin sulphate proteoglycan and that there may be a developmentally-regulated isoform carrying the DSD-1 epitope. Glycosylation variants of Ptprq may be responsible for the regional variation in the appearance of the shaft connectors

A Study of Qualitative Correlations Between Crucial Bio-markers and the Optimal Drug Regimen of Type-I Lepra Reaction: A Deterministic Approach

Mycobacterium leprae is a bacteria that causes the disease Leprosy (Hansen's disease), which is a neglected tropical disease. More than 200000 cases are being reported per year world wide. This disease leads to a chronic stage known as Lepra reaction that majorly causes nerve damage of peripheral nervous system leading to loss of organs. The early detection of this Lepra reaction through the level of bio-markers can prevent this reaction occurring and the further disabilities. Motivated by this, we frame a mathematical model considering the pathogenesis of leprosy and the chemical pathways involved in Lepra reactions. The model incorporates the dynamics of the susceptible schwann cells, infected schwann cells and the bacterial load and the concentration levels of the bio markers $IFN-\gamma$, $TNF-\alpha$, $IL-10$, $IL-12$, $IL-15$ and $IL-17$. We consider a nine compartment optimal control problem considering the drugs used in Multi Drug Therapy (MDT) as controls. We validate the model using 2D - heat plots. We study the correlation between the bio-markers levels and drugs in MDT and propose an optimal drug regimen through these optimal control studies. We use the Newton's Gradient Method for the optimal control studies

A Comprehensive and Detailed Within-Host Modeling Study involving crucial Bio markers and Optimal Drug regimen for Lepra Type-I Reaction : A Deterministic Approach

Leprosy (Hansen's disease) is an infectious, neglected tropical disease caused by the Mycobacterium Leprae (M. Leprae). Each year there are approximately 2,02,189 new cases are detected globally. In the year 2017 more than half million people were disabled due to leprosy and almost 50000 new cases are added every year world wide. In leprosy, lepra reactions are the major cause for nerve damage leading to disability. Early detection of lepra reactions through study of biomarkers have important role in prevention of subsequent disabilities. To our knowledge there seems to be very limited literature available on within-host modeling at cellular level involving the crucial biomarkers and the possible optimal drug regimen for leprosy disease and lepra reactions. Motivated by these observations, in this study, we have proposed and analyzed a three dimensional mathematical model to capture the dynamics of susceptible schwann cells, infected schwann cells and the bacterial load based on the pathogenesis of leprosy. We estimated the parameters from various clinical papers to make the model more practical. The sensitivity of couple of parameters was evaluated through PRCC method to find out the single most influential parameter and also combination of two most influential parameters was studied using SRCC method. The sensitivity of other remaining parameters was evaluated using Sobol's index. We then have framed and studied an optimal control problem considering the different medication involved in the Multi Drug Therapy (MDT) as control variables. We further studied this optimal control problem along with both MDT and steroid interventions. The finding from this novel and comprehensive study will help the clinicians and public health researchers involved in the process of elimination and eradication of leprosy

Design, Characterization and Anti-ulcerogenic Effect of Amoxicillin trihydrate Thiolated Chitosan Mucoadhesive Microspheres for Effective Treatment of H. pylori

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THz Device Design for SiGe HBT under Sub-room Temperature to Cryogenic Conditions

BiCMOS technology can be a possible replacement for FDSOI and FinFET technology due to their higher transconductance, which allows them to operate at in THz range i.e. radio frequencies (RF) in addition to their higher voltage handling ability. The most advanced SiGe heterojunction bipolar transistor (HBT) technology (55-nm BiCMOS) demonstrates room temperature cut-off frequency ($f_{\mathrm{t}}$) and maximum oscillation frequency ($f_{\max}$) of 320 GHz and 370 GHz respectively. In this paper, we performed TCAD analysis to investigate the performance metrics, $f_{\mathrm{t}}$ and $f_{\max}$ of the SiGe HBT at different cryogenic temperatures. The calibrated Gummel characteristics reveals that a record DC current gain of $1.2\times 10^{4}$ is obtained at 77 K for $\mathrm{V}_{\text{BE}}=\mathrm{V}_{\text{CE}}=1.2\ \mathrm{V}$. The HBT device employs bandgap engineering by linearly varying the Ge concentration in the base region, which enhances the device performance. Both the bandgap engineering with linearly graded Germanium (Ge) profile (induces intrinsic drift field in the base) and the cryogenic operation of the HBT device results in enhancement of $f_{\mathrm{t}}$ and $f_{\max}$. Our simulations predict that the value of peak $f_{\mathrm{t}}$ decreases below 100 K due to increase in the emitter junction capacitance and the peak $f_{\max}$ increase is due to decrease in collector junction capacitance and base resistance. The aggregate metric $f_{\mathrm{t}}+f_{\max} > 1.2\ \text{THz}$ is achieved under cryogenic condition without scaling the device, this advantage can be utilized in the THz device applications. © 2020 IEEE

Secondary Seizures in the Pediatric Population in Two Tertiary Hospitals in India

Objective: To evaluate the clinical pattern of secondary seizures which includes acute and remote symptomatic seizures among hospitalized patients in two healthcare centers and to assess the outcomes among hospitalized patients having secondary seizures. Methods: This multicentric cross-sectional study was conducted in two tertiary hospitals in Odisha and Tamil Nadu, India, for a period of four years. A total of 274 patients in the age group between 6 months to 12 years participated in the study. A structured proforma was used to document the clinical pattern and causes of the secondary seizures. Results: Among the participants in Odisha and Tamil Nadu hospitals, focal seizures constituted 67.5%. Generalized seizures were present in 32.4%. The key causes of seizures in Odisha were malaria, cerebral palsy, and viral meningitis, while in Tamil Nadu, the causes were neurocysticercosis, cerebral palsy, and viral meningitis. Conclusion: Since the majority of the causes are preventable, it is important to address the issue at the public health level, by providing improved sanitation and adequate awareness on the secondary seizure and its causes. It is also important that the physicians are well conversant with the early case detection and treatment of primary diseases causing secondary seizures

Gastroretentive Mucoadhesive Microsphere for the Management of Gastric Infection

Gastric infections are mostly triggered by Helicobacter pylori (H. pylori), a fungus that colonizes the stomach mucosa of more than 50% of the inhabitants of the world. Chronic H. Pylori diseasewas associated with stomach diseases such as peptic ulcer, chronic gastritis and stomach adenoc arcinoma. Current therapy for eradication relies on antibiotic-based therapies that are ineffective in about 20% of patients. Traditional method constraints optimize the creation of new techniques for fast, consistent and cost-effective H diagnosis. Infection with pylori. Wide-ranging study has been carried out over the previous few centuries to create a type of gastro-retentive dosage (GRDF). This sort of dosage form can advance the delivery and efficiency of stomach-active medicines because the GRDF enables the medication to remain in the stomach for a sufficient time period. Various methods were used to develop effective GRDFs such as high-density systems, low-density systems, swelling and expansion systems, hydrodynamically balanced systems, superporous hydrogels,. However, there are both merits and demerits in these kinds of schemes. Intra-individual and inter-individual dissimilarities are obstacles to the growth of effective GRDFs in gastric physiology. Examples of these individual differences include gastric pH and gastric motility that have a notable effect on the moment of stomach retention and delivery of drugs. Some of these obstacles can be overcome by developing a novel mucoadhesive microsphere. The mucoadhesive microsphere is characterized by close contact of the MDF with the mucosal layer, thereby increasing the localized absorption of the drug. H2Receptor antagonists (H2RAs) have become first-line therapy for acid related peptic disease and GRDF especially designed for H2RAs and drugs against H. pylori, including specific targeting systems and leading to a marked development in the quality of life for a large number of patients. In this relationship, new formulations with improved absorption, improved bioavailability and improved acid-suppressing regimens are welcome Keywords: H. pylori, gastro-retentive dosage, mucoadhesive microspher

Integrating artificial intelligence for knowledge management systems – synergy among people and technology: a systematic review of the evidence

This paper analyses Artificial Intelligence (AI) and Knowledge Management (KM) and focuses primarily on examining to what degree AI can help companies in their efforts to handle information and manage knowledge effectively. A search was carried out for relevant electronic bibliographic databases and reference lists of relevant review articles. Articles were screened and the eligibility was based on participants, procedures, comparisons, outcomes (PICO) model, and criteria for PRISMA (Preferred Reporting Items for Systematic Reviews). The results reveal that knowledge management and AI are interrelated fields as both are intensely connected to knowledge; the difference reflects in how – while AI offers machines the ability to learn, KM offers a platform to better understand knowledge. The research findings further point out that communication, trust, information systems, incentives or rewards, and the structure of an organization; are related to knowledge sharing in organizations. This systematic literature review is the first to throw light on KM practices & the knowledge cycle and how the integration of AI aids knowledge management systems, enterprise performance & distribution of knowledge within the organization. The outcomes offer a better understanding of efficient and effective knowledge resource management for organizational advantage. Future research is necessary on smart assistant systems thus providing social benefits that strengthen competitive advantage. This study indicates that organizations must take note of definite KM leadership traits and organizational arrangements to achieve stable performance through KM

Enhancing physiological metrics, yield, zinc bioavailability, and economic viability of Basmati rice through nano zinc fertilization and summer green manuring in semi–arid South Asian ecosystem

During the summer and rainy seasons (April-October) of 2020 and 2021, two consecutive field experiments were conducted at the research farm of the ICAR-Indian Agricultural Research Institute, New Delhi, India. In this study, we examined the effects of summer green manuring crops (GM) and a variety of zinc fertilizers (ZnF) on Basmati rice (Oryza sativa L.) growth, physiological development, yield response, zinc nutrition and economic returns. A combination of GM residues and nano zinc fertilization helped significantly enhancing Basmati rice’s growth and its physiological development. Following the incorporation of Sesbania aculeata (Sesbania), successive Basmati rice physiological parameters were significantly improved, as well as grain, straw, biological yields, harvest index and economic returns. The highest Zn content of 15.1 mg kg -1 and the lowest of 11.8 mg kg -1 in milled rice grain were recorded in Sesbania green manuring (G2) and control i.e., in the fallow (G1), respectively. Coating onto urea with 0.2% nano zinc oxide (NZnCU) was observed to be more effective than other zinc sources in terms of growth parameters, yield attributes, zinc nutrition, grain and straw yields for succeeding Basmati rice crop; however, the effects were comparable to those of bulk zinc oxide-coated urea (BZnCU) of 1%. The highest Zn content of 15.1 mg kg -1 was recorded with the application of 1% BZnCU and the lowest of 11.96 mg kg -1 with the soil application of 5 kg Zn ha -1 through bulk ZnO in the milled rice grain. Application of 1% BZnCU led to a 26.25% increase in Zn content of milled rice grain compared to soil application of 5 kg Zn ha -1 through bulk ZnO. As a result, the combination of inclusion of Sesbania aculeata (Sesbania) residue and 0.2% NZnCU was identified as the most effective treatment, for Basmati rice growth and physiological development. A combination of nano Zn fertilization in conjunction with the incorporation of green manure can be advocated for better growth, physiological performance, zinc dense grains, and higher profitability of Basmati rice for farmers and consumers

Optimising nitrogen use efficiency of prilled urea through integrated use of nano-ZnO and green manuring for better productivity, quality and nutritional status of Basmati rice crop

In agricultural systems, significant nitrogen (N) losses from traditional fertilizers pose risks to food security and economic stability. An emerging approach to mitigate these losses involves nanoparticles (NPs) coatings onto urea, aiming to enhance N availability and consequently boost crop yields. To explore the most effective and sustainable N management strategies, a field experiment was carried out in Basmati rice at the ICAR-Indian Agricultural Research Institute, New Delhi, India over 2020–2021 in a split-plot design, with two summer green manure (GM) types-Sesbania (G2) and cowpea (G3) and fallow in the main plot and six nitrogen fertilization (NF) modules, i.e., 0 kg N + 5 kg Zn ha−1 through bulk ZnO (N1), N through prilled urea (PU) (N2), N through PU + 5 kg Zn ha−1 through bulk ZnO (N3), 1% bulk ZnO-coated urea (1% BZnCU) (N4), 0.1% nano ZnO-coated urea (0.1% NZnCU) (N5) and 0.2% nano ZnO-coated urea (0.2% NZnCU) (N6) in subplots replicated three times. The objectives of the study was to identify the optimal GM crops and the most effective NF modules on enhancing plant height, dry biomass, grain yield, milling quality, and N, P, K nutrition, as well as nitrogen use efficiency (NUE). Our findings demonstrated that, a significant enhancement in plant height (13.34%) and dry biomass (38.1%) at harvest was observed with the combined application of G2 and N6 when juxtaposed against G1 and N1. The pooled analysis revealed that GM enhanced grain yield by 12.75% in comparison to G1, irrespective of the NF modules employed. The Sesbania was identified as the top-performing GM, registering a yield 17.5% greater than fallow while it was 8.13% for cowpea. Among NF modules, there was a noted 10.03% yield increase when urea was zinc-coated compared to using only urea (N2), and a 33.75% increase against the N1. The application of N6 modules boosted hulling, milling, and head rice recovery by 3.73, 4.45, and 4.98%, respectively, compared to N1. Moreover, combining zinc with urea raised the N content in milled rice by approximately 9.1% and heightened the N, P, and K concentration in the straw by 22.8, 4.44, and 11.8%, and total N, P, and K uptake by 5.72, 3.33, and 11.7%, in comparison to the combined effect of N1 and N2. Considering the NUE metrics, such as partial factor productivity (PFP), agronomic efficiency (AE), recovery efficiency (RE), and physiological efficiency (PE), the application of GM showcased superior performance in PFP and RE against the G1, while AE and PE remained unaffected. The G2 as a GM, performed best in PFP and RE. The N5 module delineated the most substantial advancements in NUE indices, despite being comparable to N6. In conclusion, the adoption of Sesbania as a green manure crops, coupled with the 0.2% nano ZnO-coated urea module, is identified as an efficient method for maximizing growth, yield, milling attributes, nutrient assimilation, and overall NUE in the Basmati rice