Fabled city in the high mountains

Fabled city in the high mountains


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| Photo Credit:
LuFeeTheBear

Myth or not, the Lost City of Atlantis, described by the Greek philosopher Plato as having sunk deep into the Atlantic Ocean, has ceaselessly captivated our imagination. But the discovery of another lost city — one that existed until about a thousand years ago, high up in the almost uninhabitable mountains of Central Asia — has caused a massive stir in the world of archaeologists and historians.

Few lent credence to references in 10th century Arab texts to Marsmanda, located in the Tugunbulak highlands of Uzbekistan. It appeared near impossible that an ancient iron-making, industrial city could exist 7,200 ft above sea level, in what is today a barren landscape. That changed when Dr Michael D Frachetti, an archaeologist at Washington University in St Louis, went looking for relics of the Bronze Age people who lived in the region 4,000 years ago, but instead encountered thousands of mud-covered shards of broken pottery. Wow!

A drone equipped with LiDAR offered a clearer picture of what lay beneath. Soon, an ancient city began to reveal itself — around 150 buildings in a 35-acre area, possibly housing about 500 people.

The Smithsonian magazine reports that radiocarbon dating places the oldest excavated burial around 720 AD, while other finds suggest the region was among the earlier adopters of Islam, judging by burial practices.

The discovery of the fabled city of Marsmanda reminds us that archaeology has barely scratched the surface of history. Some day, even Atlantis may be found — who knows?

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sergeyryzhov

Published on January 12, 2026



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Optimising bioreactor design

Optimising bioreactor design


In biotechnology, valuable products are produced by liquid cultures, where individual cells grow freely in a nutrient-rich medium. These cultures are called ‘cell suspensions’. In bioreactors, the suspensions are constantly shaken, creating certain hydrodynamics within the culture medium. This hydrodynamics affects the output quantity of the desired products, such as phytochemicals, proteins, enzymes and antibodies.

A problem before technologists is how to optimise the design of a bioreactor to maximise the production of useful products.

To address this, a team of scientists at IIT-Madras (Vidya Muthulakshmi Manickavasagam, Prof Nirav Bhatt and Prof Smita Srivastava) used computational fluid dynamics (CFD) to rationally design and select key features of a bioreactor, especially the impeller type, and the operating conditions, so that the hydrodynamic environment in the bioreactor would match the favourable conditions in shake flasks. By doing so, they addressed the drop in biomass productivity that usually occurs during scale-up from lab to industry.

Traditionally, bioreactor designs are selected through trial and error to match shake-flask productivity. This approach is inefficient for plant cells, which grow slowly and require long cultivation times. But the use of CFD enhanced efficiency.

Studying the medicinal plant Viola odorata, researchers modelled fluid flow in both shake flasks and bioreactors; they showed that maintaining “a constant shear environment” (forces created by one layer sliding over another) is crucial for preserving cell growth.

Overall, the study demonstrated that CFD offers a rational, time-saving way to design and scale up bioreactors for plant cell cultures, replacing inefficient trial-and-error methods.

Detox freshwater sponge

Freshwater sponges found in the Sundarban delta could play a significant role in monitoring and reducing toxic metal pollution, according to a new study by scientists at the Bose Institute, Kolkata. The research shows that these sponges can accumulate hazardous metals such as arsenic, lead and cadmium while hosting specialised microbial communities that help detoxify polluted water.

The study, published in Microbiology Spectrum of the American Society for Microbiology, examined freshwater sponges from the Sundarbans, a region facing increasing environmental stress from industrial and agricultural pollution. Freshwater sponges are among the earliest multicellular organisms and act as natural filters, processing large volumes of water and contributing to ecosystem health.

Led by Dr Abhrajyoti Ghosh of the Bose Institute’s Department of Biological Sciences, the research found that the microbial communities living within the sponges are distinct from those in the surrounding water. These microbes are shaped by sponge species and habitat, and enriched with genes linked to metal transport, metal resistance and antimicrobial resistance, indicating their role in surviving and detoxifying contaminated environments.

The study also represents the first detailed report on bacterial diversity in the freshwater sponges found in the Sundarbans. It was supported by a DST SERB national post-doctoral fellowship awarded to Dr Dhruba Bhattacharya.

Given the widespread heavy metal contamination across the Gangetic plain, the researchers say freshwater sponges could serve as effective bioindicators of water quality and natural tools for bioremediation. The findings open new possibilities for sustainable approaches to managing pollution in estuarine and freshwater ecosystems.

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Dado Ruvic

Published on January 12, 2026



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Sensing UV-C in femtoseconds

Sensing UV-C in femtoseconds


We are familiar with ultraviolet-C (UV-C) light through its use in sterilising water, air and surfaces. But beyond this, UV-C light remains under-exploited, owing to challenges in creating compact systems capable of both generating and detecting intense, ultrafast UV-C light.

A recent study, titled ‘Fast ultraviolet-C photonics: Generating and sensing laser pulses on femtosecond timescales’, published by Dewes and colleagues in Light: Science & Applications, addresses this challenge directly. Combining advances in non-linear optics with scalable two-dimensional semiconductor sensors, the authors demonstrate an integrated platform capable of producing and detecting UV-C laser pulses lasting only a few hundred femtoseconds (a femtosecond is one quadrillionth of a second).

Ultrafast light

Many physical, chemical and biological processes unfold on timescales far shorter than a nanosecond. Ultrafast lasers, producing pulses lasting femtoseconds, help probe these processes. A femtosecond is short enough to resolve molecular vibrations, electronic transitions and ionisation dynamics.

Femtosecond lasers are now routine in the infrared and visible regions. But in the case of UV-C, direct sources such as excimer lasers are bulky and energy-intensive, while compact semiconductor lasers have limited output power. Detection poses an additional challenge, as conventional UV sensors often lack the speed or spectral discrimination needed for femtosecond operation.

femtosecond pulses

In the non-linear optical approach, the starting point is a commercially available ytterbium-based laser operating at 1,024 nanometres in the near-infrared. The pulses last 236 femtoseconds, with repetition rates of up to 60 kilohertz.

The conversion to UV-C proceeds through cascaded second-harmonic generation. Infrared pulses pass through a bismuth triborate crystal, and their frequency is doubled to produce visible light at 512 nanometres. The frequency is doubled again in a beta-barium borate crystal, yielding ultraviolet pulses at 256 nanometres. Harmonic separators suppress residual infrared and visible light, ensuring a clean UV-C output.

Through careful optimisation of crystal thickness and spacing, the authors achieve a fourth-harmonic conversion efficiency of about 20 per cent. For a compact femtosecond system, this is exceptionally high. The resulting UV-C pulses have durations of around 243 femtoseconds and energies of up to 2.38 microjoules.

2D semiconductors

For detection, the authors have developed photodetectors based on two-dimensional semiconductors — gallium selenide, which has a high absorption coefficient in the UV-C range, allowing even nanometre-scale layers to absorb light efficiently, and gallium oxide, which exhibits enhanced selectivity for UV-C wavelengths and suppressed sensitivity to visible light.

The detectors use a metal–semiconductor–metal geometry with interdigitated gold electrodes. In the gallium oxide devices, the semiconductor layer is integrated with graphene on a silicon-carbide substrate. When a UV-C pulse is absorbed, electron–hole pairs are generated and separated by an applied electric field, producing a measurable photocurrent.

The gallium selenide devices show a linear relationship between the UV-C pulse energy and the integrated photocurrent, indicating a stable and predictable response over a wide operating range.

By contrast, the gallium oxide devices exhibit an unusual super-linear response. As the pulse energy or repetition rate increases, the detector responsivity rises more rapidly than expected.

The authors attribute this to electronic processes within the semiconductor and at its interface with graphene. As a result, detector performance improves under stronger illumination, which is valuable for ultrafast applications.

High-impact uses

In biomedical imaging and diagnostics, the short wavelength of UV-C light enables spatial resolution beyond the limits of visible microscopy, while femtosecond pulses allow time-resolved observation of rapid biochemical processes such as protein dynamics, DNA damage and photo-induced cellular responses.

In materials science and semiconductor manufacturing, ultrafast UV-C spectroscopy provides direct access to electronic structure, defect states and charge recombination dynamics in wide-bandgap materials and oxides.

The ultrashort pulses enable nanoscale fabrication and repair without significant heat diffusion, detection of trace pollutants and hazardous substances, and portable systems for laboratory-on-chip applications.

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Published on January 12, 2026



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ISRO to kick off 2026 with launch of Earth Observation Satellite

ISRO to kick off 2026 with launch of Earth Observation Satellite


The Indian Space Research Organisation (ISRO) is getting ready to launch the PSLV-C62 mission carrying the EOS-N1 Earth Observation satellite along with 15 co-passenger satellites from domestic & international customers on Monday.

The mission is the ninth dedicated commercial mission undertaken by NewSpace India Limited (NSIL), the commercial arm of the space organisation.

This launch will be the 64th flight of the Polar Satellite launch Vehicle(PSLV) – a workhorse of ISRO’s notable missions like Chandrayaan-1, Mars Orbiter Mission, Aditya-L1 and Astrosat Mission. 

The mission will carry satellites from Indian start-ups like Dhruva Aerospace and OrbitAID Aerospace’s AayulSAT, an experimental payload to demonstrate in-orbit satellite refueling technology.

PSLV-C62 mission will also demonstrate a small-scale prototype of a re-entry vehicle called the Kestrel Initial Technology Demonstrator (KID) developed by Spanish start-up Orbital Paradigm. The KID will be the last co-passenger to be injected after which it is slated to re-enter the earth’s atmosphere towards splashdown in the South Pacific Ocean.

The PSLV-C62 mission is set to lift-off on January 12, 2026 at 10:17am, from the First Launch Pad at Satish Dhawan Space Centre, Sriharikota.

Published on January 11, 2026



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Using AI to better assess cyclone damage

Using AI to better assess cyclone damage


AFTER A HURRICANE: Picking up the pieces
| Photo Credit:
REUTERS

In just two months — October and November this year — the Indian Ocean spawned four powerful cyclonic storms, killing hundreds and devastating coastal communities across India, Sri Lanka and parts of East Asia.

Assessment of cyclone damage typically relies on aerial images captured by satellites and drones. Interpreting these images, however, is not a straightforward task — images differ widely across regions and storms due to variations in lighting, terrain, building materials and damage patterns. Artificial intelligence (AI) is now used to speed up assessments, but models trained on one disaster often perform poorly on another. An AI system trained on images from Cyclone Montha, in Andhra Pradesh, for instance, may struggle to assess damage after a cyclone in Sri Lanka. This challenge is known as the ‘domain gap’.

Researchers at the Indian Institute of Technology, Bombay, have developed a solution to this problem: A spatially aware domain adaptation network called SpADANet. “The AI model is designed to adapt across different storms and geographies, even when only limited, human-labelled data is available from the new disaster area,” says a write-up from IIT-Bombay.

While existing models treat the domain gap as a statistical issue, SpADANet uses spatial context — the arrangement and relationship of buildings and damaged areas within an image. This allows it to recognise damage patterns based not just on visual features like colour or shape, but also location and surroundings.

Mobile-friendly tool

Published recently in IEEE Geoscience and Remote Sensing Letters, the study shows that SpADANet improves damage classification accuracy by over 5 per cent, compared to existing methods. Crucially, the model can run on modest computing hardware, including tablets and smartphones, making it suitable for use in the field — an important advantage in disaster-hit regions with limited resources.

“SpADANet first teaches itself by studying unlabelled images from a domain (hurricane study area) by employing a process called self-supervised learning. This helps the model understand general visual patterns, such as how undamaged and damaged buildings or debris appear in aerial photos. By the time it sees labelled data, it already has a strong sense of what to look for in the data,” elaborates Prof Surya Durbha, who led the study.

It then uses a novel spatial module — Bilateral Local Moran’s I — to better capture how damage clusters across neighbouring areas.

The model was tested using satellite imagery from hurricanes Harvey (2017), Matthew (2016) and Michael (2018) in the US. Even when only 10 per cent of images from a new disaster were labelled, SpADANet outperformed standard approaches such as DANN, MDD and CORAL-based models, the write-up says.

IIT-Bombay clarifies that its SpADANet is “fundamentally different” from SPADANet, a model developed by a Japanese research team earlier this year.

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Published on December 29, 2025



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