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Depression often shows suboptimal outcomes with antidepressants, with ~66% response and ~37% remission after 6 weeks of treatment (MDD-1 India study). Renin–angiotensin–aldosterone system (RAAS) has been implicated in mood regulation through its effects on neuroplasticity, inflammation, and stress. While ACE inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) are widely prescribed for cardiovascular disease, their influence on antidepressant response and RAAS-related mechanisms remains underexplored.
Objectives
To evaluate influence of ACEI/ARBs on antidepressant treatment response and correlate them with RAAS and depression related biomarkers.
Methods
This prospective observational study included patients with depression who were going to receive antidepressants for 6 weeks. They were divided into two groups: a. AD group: only antidepressants, b. AD+ACEI/ARBs group: antidepressants with ongoing ACEI/ARBs treatment for ≥ 3 months. Depression severity was assessed using Hamilton Depression Rating Scale (HDRS-17) at baseline and 6 weeks. Serum biomarkers (ACE, Ang II, Ang 1–7, renin, BDNF, cortisol) were quantified by ELISA, and gene expression (ACE, AT1R, AT2R, MasR) was analysed in peripheral blood by qRT-PCR. Safety of medications was evaluated through routine laboratory tests.
Results
This study included 186 patients with depression (AD group: n=102; AD+ACEI/ARB group: n=64) and 20 healthy controls. Reduction in HDRS-17 score was greater within the AD+ACEI/ARB group (22.19 ± 7.15 to 10.61 ± 4.00) compared with AD group (21.97 ± 7.54 to 13.24 ± 6.50; p=0.001). Responder rate (≥ 50% reduction in HDRS score from baseline) was higher in AD+ACEI/ARBs (p=0.001) compared to AD group. At baseline AD+ACEI/ARB group had significantly lower serum ACE (p=0.022) compared to AD group. At 6 weeks of follow-up there was significant reduction in Ang II level (p = 0.002) in AD+ACEI/ARBs group compared to AD group. At baseline gene expression analysis showed upregulation of MasR (p = 0.022) and downregulation of ACE (p = 0.049) in the AD+ACEI/ARB group (with ≥ 3 months ACEI/ARB treatment) vs AD group. However, at follow-up there was no significant change among AD vs AD+ACEI/ARBs group in serum Ang 1–7, renin, BDNF, cortisol levels, and gene expression of AT1 and AT2 receptors.
Conclusions
Adjunctive ACEI/ARB therapy improves antidepressant treatment response, which may be ascribed to the modification of RAAS-related biomarkers. This was reflected through reduction in serum ACE and Ang II levels, downregulation of ACE and upregulation of MasR expression.
The Automated Meteorology—Ice—Geophysics Observation System 3 (AMIGOS-3) is a multi-sensor on-ice ocean mooring and weather, camera and precision GPS measurement station, controlled by a Python script. The station is designed to be deployed on floating ice in the polar regions and operate unattended for up to several years. Ocean mooring sensors (SeaBird MicroCAT and Nortek Aquadopp) record conductivity, temperature and depth (reported at 10 min intervals), and current velocity (hourly intervals). A Silixa XT fiber-optic distributed temperature sensing system provides a temperature profile time-series through the ice and ocean column with a cadence of 6 d−1 to 1 week−1 depending on available station power. A subset of the station data is telemetered by Iridium modem. Two-way communication, using both single-burst data and file transfer protocols, facilitates station data collection changes and power management. Power is supplied by solar panels and a sealed lead-acid battery system. Two AMIGOS-3 systems were installed on the Thwaites Eastern Ice Shelf in January 2020, providing data well into 2022. We discuss the components of the system and present several of the data sets, summarizing observed climate, ice and ocean conditions.
This study aimed to evaluate the surgical success of a modified inlay tympanoplasty technique, known as circumferential subannular tympanoplasty, for anterior and subtotal perforations.
Methods:
This prospective study was performed in a tertiary care teaching hospital between October 2013 and April 2016. A total of 58 adult patients of both sexes with anterior or subtotal perforations underwent circumferential subannular tympanoplasty under local anaesthesia. In this technique, after tympanomeatal flap elevation, the temporalis fascia graft is placed directly onto the annulus instead of being tucked underneath the tympanic membrane remnant. Outcome data were graft uptake and hearing improvement.
Results:
This technique had a surgical success rate of 97 per cent and led to significant hearing improvement.
Conclusion:
Circumferential subannular tympanoplasty has a definitive role in managing anterior and subtotal perforations.
To evaluate the success rate of dry and wet temporalis fascia grafts in type I underlay tympanoplasty.
Methods:
A prospective, randomised study was conducted. One hundred adult patients (males and females) with chronic suppurative otitis media (mucosal type) were divided into 2 groups of 50 each: one group underwent dry graft tympanoplasty and the other underwent wet graft tympanoplasty. Fibroblast count was calculated in dry and wet grafts.
Results:
The dry graft and wet graft groups had overall surgical success rates of 82 and 90 per cent, respectively; this finding was not statistically significant. A statistically significant high fibroblast count was observed in wet grafts, but it did not correlate with surgical success.
Conclusion:
A dry or wet temporalis fascia graft does not influence the outcome of tympanoplasty type I.
We estimate spatial gradients in the ionosphere using the Global Positioning System and GLONASS (Russian global navigation system) observations, utilising data from multiple Global Positioning System stations in the vicinity of Murchison Radio-astronomy Observatory. In previous work, the ionosphere was characterised using a single-station to model the ionosphere as a single layer of fixed height and this was compared with ionospheric data derived from radio astronomy observations obtained from the Murchison Widefield Array. Having made improvements to our data quality (via cycle slip detection and repair) and incorporating data from the GLONASS system, we now present a multi-station approach. These two developments significantly improve our modelling of the ionosphere. We also explore the effects of a variable-height model. We conclude that modelling the small-scale features in the ionosphere that have been observed with the MWA will require a much denser network of Global Navigation Satellite System stations than is currently available at the Murchison Radio-astronomy Observatory.
To evaluate and analyse the success rate of tympanoplasty type I in paediatric patients aged 5 to 8 years compared to a control group (patients aged over 14 years).
Methods:
In this prospective study, 60 patients (of either sex) with chronic suppurative otitis media inactive mucosal disease were divided into 2 groups (30 in each): group A comprised paediatric patients aged 5–8 years and group B consisted of older individuals aged over 14 years. All patients underwent tympanoplasty type I with an underlay technique using a temporalis fascia graft.
Results:
Impressive surgical success rates of 87 and 90 per cent were recorded in groups A and B, respectively. Furthermore, audiological success rates of 69 and 78 per cent were achieved in groups A and B respectively. Statistical analysis of the data revealed that eustachian tube function had no impact on the outcome of tympanoplasty.
Conclusion:
Tympanoplasty type I performed in children aged five to eight years gives comparable results to those of older individuals.
We compare first-order (refractive) ionospheric effects seen by the MWA with the ionosphere as inferred from GPS data. The first-order ionosphere manifests itself as a bulk position shift of the observed sources across an MWA field of view. These effects can be computed from global ionosphere maps provided by GPS analysis centres, namely the CODE. However, for precision radio astronomy applications, data from local GPS networks needs to be incorporated into ionospheric modelling. For GPS observations, the ionospheric parameters are biased by GPS receiver instrument delays, among other effects, also known as receiver DCBs. The receiver DCBs need to be estimated for any non-CODE GPS station used for ionosphere modelling. In this work, single GPS station-based ionospheric modelling is performed at a time resolution of 10 min. Also the receiver DCBs are estimated for selected Geoscience Australia GPS receivers, located at Murchison Radio Observatory, Yarragadee, Mount Magnet and Wiluna. The ionospheric gradients estimated from GPS are compared with that inferred from MWA. The ionospheric gradients at all the GPS stations show a correlation with the gradients observed with the MWA. The ionosphere estimates obtained using GPS measurements show promise in terms of providing calibration information for the MWA.
This text provides an up-to-date description of the photovoltaic (PV) components and systems. It contains detailed information on several carefully planned experiments on solar PV cells and modules. The book is divided into two sections: User Manual and Experiments. The experiments are related to the characterization and simulation of solar cells to allow the users to measure various kinds of data on solar cells, modules and PV systems. The simulation experiments would enable the users to simulate solar cells and circuits containing solar cells. The Manual provides an intuitive grasp of PV system components and their behaviour in the field through a discussion of the underlying objectives, expected outcome, theory, equipment used, measurement methodology and results. The Manual will help users in understanding and execution of various experiments related to solar PV.
This book would be an extremely useful reference manual not only for the technicians and system installers working in the PV field, but also for the students and researchers interested in understanding the fundamental aspects of PV system components and their interconnection.
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
India has launched the Jawaharlal Nehru National Solar Mission (JNNSM) in 2009 with the ambitious target of installing 20,000 MW of solar power in the country by the year 2022. In order to achieve such a target, there is a need for a large number of trained people in the area of Solar Photovoltaics.
It is our pleasure to present this PV lab training manual as part of the ‘Teach a 1000 Teachers’ training programme on Photovoltaics. This initiative is part of the National Centre for Photovoltaic Research and Education (NCPRE, www.ncpre.iitb.ac.in), established at IIT Bombay by the Ministry of New and Renewable Energy (MNRE). We hope that this training initiative taken by NCPRE will be useful in fulfilling the manpower needs of JNNSM.
The manual contains detailed information on several carefully planned experiments on solar PV cells and modules. The planned experiments are in the areas of ‘characterization’ and ‘simulation’. The characterization experiments are planned to allow you to measure various data on solar cells, modules and PV systems. The simulation experiments enable you to simulate solar cells and circuits containing solar cells. For each experiment the details, such as its objective, expected outcome, theory, the equipments used, measurement methodology, results and discussion, are given.
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India
Chetan S. Solanki, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Brij M. Arora, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Juzer Vasi, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India,Mahesh B. Patil, Professor, Department of Electrical Engineering, Indian Institute of Technology Bombay, India