Rebel Foods’ Cloud Kitchen Technologies: Food for Thought?

This case study examines the India based cloud kitchens and food services provider Rebel Foods’ technology platforms. We document the development of the company from its foundation in 2004 and the role played by technology in enabling its various lines of business. We describe in detail the technology stack that drives the operations at Rebel Foods. We also present various emerging technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), blockchain and augmented reality (AR) that may be utilized by Rebel Foods to increase efficiency, build customer engagement and improve sales growth and profitability. We critically examine Rebel Foods’ current approach to technology and analyze the various technology options that the company may consider to drive its future strategy

Incorporating information from source simulations into searches for gravitational-wave bursts

The detection of gravitational waves from astrophysical sources of gravitational waves is a realistic goal for the current generation of interferometric gravitational-wave detectors. Short duration bursts of gravitational waves from core-collapse supernovae or mergers of binary black holes may bring a wealth of astronomical and astrophysical information. The weakness of the waves and the rarity of the events urges the development of optimal methods to detect the waves. The waves from these sources are not generally known well enough to use matched filtering however; this drives the need to develop new ways to exploit source simulation information in both detections and information extraction. We present an algorithmic approach to using catalogs of gravitational-wave signals developed through numerical simulation, or otherwise, to enhance our ability to detect these waves. As more detailed simulations become available, it is straightforward to incorporate the new information into the search method. This approach may also be useful when trying to extract information from a gravitational-wave observation by allowing direct comparison between the observation and simulations.Comment: 8 pages, 1 figur

Physics Potential of the ICAL detector at the India-based Neutrino Observatory (INO)

The upcoming 50 kt magnetized iron calorimeter (ICAL) detector at the India-based Neutrino Observatory (INO) is designed to study the atmospheric neutrinos and antineutrinos separately over a wide range of energies and path lengths. The primary focus of this experiment is to explore the Earth matter effects by observing the energy and zenith angle dependence of the atmospheric neutrinos in the multi-GeV range. This study will be crucial to address some of the outstanding issues in neutrino oscillation physics, including the fundamental issue of neutrino mass hierarchy. In this document, we present the physics potential of the detector as obtained from realistic detector simulations. We describe the simulation framework, the neutrino interactions in the detector, and the expected response of the detector to particles traversing it. The ICAL detector can determine the energy and direction of the muons to a high precision, and in addition, its sensitivity to multi-GeV hadrons increases its physics reach substantially. Its charge identification capability, and hence its ability to distinguish neutrinos from antineutrinos, makes it an efficient detector for determining the neutrino mass hierarchy. In this report, we outline the analyses carried out for the determination of neutrino mass hierarchy and precision measurements of atmospheric neutrino mixing parameters at ICAL, and give the expected physics reach of the detector with 10 years of runtime. We also explore the potential of ICAL for probing new physics scenarios like CPT violation and the presence of magnetic monopoles.Comment: 139 pages, Physics White Paper of the ICAL (INO) Collaboration, Contents identical with the version published in Pramana - J. Physic

No magic bullet: limiting in-school transmission in the face of variable SARS-CoV-2 viral loads

In the face of a long-running pandemic, understanding the drivers of ongoing SARS-CoV-2 transmission is crucial for the rational management of COVID-19 disease burden. Keeping schools open has emerged as a vital societal imperative during the pandemic, but in-school transmission of SARS-CoV-2 can contribute to further prolonging the pandemic. In this context, the role of schools in driving SARS-CoV-2 transmission acquires critical importance. Here we model in-school transmission from first principles to investigate the effectiveness of layered mitigation strategies on limiting in-school spread. We examined the effect of masks and air quality (ventilation, filtration and ionizers) on steady-state viral load in classrooms, as well as on the number of particles inhaled by an uninfected person. The effectiveness of these measures in limiting viral transmission was assessed for variants with different levels of mean viral load (ancestral, Delta, Omicron). Our results suggest that a layered mitigation strategy can be used effectively to limit in-school transmission, with certain limitations. First, poorly designed strategies (insufficient ventilation, no masks, staying open under high levels of community transmission) will permit in-school spread even if some level of mitigation is present. Second, for viral variants that are sufficiently contagious, it may be difficult to construct any set of interventions capable of blocking transmission once an infected individual is present, underscoring the importance of other measures. Our findings provide practical recommendations; in particular, the use of a layered mitigation strategy that is designed to limit transmission, with other measures such as frequent surveillance testing and smaller class sizes (such as by offering remote schooling options to those who prefer it) as needed.National Science Foundationhttps://www.frontiersin.org/articles/10.3389/fpubh.2022.941773/fullPublished versio

Clinical presentation and proteomic signature of patients with TANGO2 mutations

Transport And Golgi Organization protein 2 (TANGO2) deficiency has recently been identified as a rare metabolic disorder with a distinct clinical and biochemical phenotype of recurrent metabolic crises, hypoglycemia, lactic acidosis, rhabdomyolysis, arrhythmias, and encephalopathy with cognitive decline. We report nine subjects from seven independent families, and we studied muscle histology, respiratory chain enzyme activities in skeletal muscle and proteomic signature of fibroblasts. All nine subjects carried autosomal recessive TANGO2 mutations. Two carried the reported deletion of exons 3 to 9, one homozygous, one heterozygous with a 22q11.21 microdeletion inherited in trans. The other subjects carried three novel homozygous (c.262C&gt;T/p.Arg88*; c.220A&gt;C/p.Thr74Pro; c.380+1G&gt;A), and two further novel heterozygous (c.6_9del/p.Phe6del); c.11-13delTCT/p.Phe5del mutations. Immunoblot analysis detected a significant decrease of TANGO2 protein. Muscle histology showed mild variation of fiber diameter, no ragged-red/cytochrome c oxidase-negative fibers and a defect of multiple respiratory chain enzymes and coenzyme Q10 (CoQ10 ) in two cases, suggesting a possible secondary defect of oxidative phosphorylation. Proteomic analysis in fibroblasts revealed significant changes in components of the mitochondrial fatty acid oxidation, plasma membrane, endoplasmic reticulum-Golgi network and secretory pathways. Clinical presentation of TANGO2 mutations is homogeneous and clinically recognizable. The hemizygous mutations in two patients suggest that some mutations leading to allele loss are difficult to detect. A combined defect of the respiratory chain enzymes and CoQ10 with altered levels of several membrane proteins provides molecular insights into the underlying pathophysiology and may guide rational new therapeutic interventions.</p

Skill formation and precarious labor: the historical role of the industrial training institutes in India 1950-2018

This paper explores the historical and ideological contestations over the meaning, nature and scope of industrial skill training in state-sponsored Industrial Training Institutes (ITIs) in their attempts to create a disciplined and committed labour force in India. Through a combination of conceptual insights drawn from Indian labour historiography and ethnographic participant research, the paper addresses the challenges faced by ITIs in maintaining a unified, centralized vision for industrial skill-training of workers under conditions of vastly uneven geographical development of the industrial sector and progressively intense interregional capital mobility in contemporary India

Searching the factual factor in emission tweaking of a reported bisindole based self aggregation sensitive organic emitter: The missing link

A bis-indole derivative, 3,3′-bisindolyl(phenyl)methane (BIPM), is studied by using steady-state and time-resolved optical spectroscopy in several pure and mixed solvents to investigate its solvent sensitive photophysical behavior. The micro-environments possess diverse and captivating influences on the photophysical properties of luminophores. Therefore, the comprehensive understanding of the interplay between the micro-solvent parameters and the spectroscopic properties of various probes is a must before developing advanced photo-functional materials. Previously, BIPM exhibited a unique bell-patterned emission yield modulation with changing the composition of DiOx-H2O binary mixture where all the primary micro-parameters (polarity, proticity and viscosity) of the solvent system varied simultaneously. Therefore, here we intend to unveil the independent and specific effects of the solvent microparameters on the overall spectroscopic behaviour of BIPM. The probe reveals very attractive and complex photophysics and expresses high sensitivity towards the micro-polarity, proticity, and viscosity. The radiationless transitions are majorly affected by the local solvent parameters resulting significant changes in the emission efficiency of BIPM. The microparameters individually direct the QY of BIPM in three different ways, increasing, decreasing and increasing-then-decreasing patterns, that are rather uncommon. Besides the opportunity of optical sensing the liquid micro-environment based on the solvent-sensitivity of the probe, BIPM also demonstrates its wide applicability considering the easy-modulation of its emission efficiency in any way through controlling the solvent microparameters only