Deterministic Preparation of Optical Squeezed Cat and Gottesman-Kitaev-Preskill States.

Large-amplitude squeezed cat states and high-quality Gottesman-Kitaev-Preskill (GKP) states are essential for effective quantum error correction, yet their optical preparation has been hindered by challenges such as low success probabilities, small amplitudes, and insufficient squeezing. Addressing these limitations, our research introduces scalable optical schemes for the deterministic preparation of large-amplitude squeezed cat states from photon-number states. Fock states have the benefit of producing consistent cat states across all measurement outcomes and intrinsically provides a degree of squeezing. Notably, these squeezed cat states facilitate the deterministic generation of high-quality approximate GKP states via "breeding," showing that GKP error correction in optics is technically feasible in near-term experiments. Our schemes allow fault-tolerant quantum computation through the use of GKP error correction.

Estimation of air pollution tolerance and anticipated performance index of roadside plants along the national highway in a tropical urban city.

One of the most serious environmental issues is air pollution. Unlike other environmental concerns, this form of pollution is extremely challenging to regulate. The greenery of roadside trees plays a significant role in air purification and pollutant absorption, therefore helping to mitigate environmental pollution. Several plants can absorb and store toxins in their leaves from the atmosphere. Green plants have the potential to work as sinks and filters for air pollutants. Green belt development along national highways is a cost-effective and environmentally sustainable method of reducing air pollution. Sensitive and tolerant plants against air pollution can be identified by evaluating their air pollution tolerance index (APTI) and anticipated performance index (API) values. In this study, the susceptibility level of plant species to air pollution was assessed using APTI and API. The four parameters on which APTI depends are ascorbic acid content, total chlorophyll content, relative water content, and leaf extract pH. For the estimation of API, the plant's biological and socioeconomic factors like tree habit, canopy structure, type, size, texture, and hardness of the plant are also assessed. These parameters were determined and incorporated into a formula that represents the APTI and API of plants. Moreover, multilinear regression modeling was performed using a Statistical Package for the Social Sciences (SPSS, V25) and found that pH and ascorbic acid content in plant leaves have a significant role in the calculation of APTI and tolerance potential of plants. Therefore, APTI was assessed with seventeen plant species that are abundant in the area along the national highway in Kanpur, Uttar Pradesh, from Jan to Mar 2020. The APTI showed that Saraca asoca was the most resistant to air pollution, whereas Vachellia nilotica was the most sensitive. In addition, plants with higher APTI can also be used to reduce air pollution, while plants with lower APTI can be utilized to monitor air pollution. Based on the calculated API score, it is found that Ficus elastica (% score > 90) is the best option for green belt development. Urban local body (ULB) can also adopt Ficus religiosa, Saraca asoca, and Aucuba japonica (having % a grade score of 80-90) for mitigation of air pollution. The study indicates that plantations of tolerant species are useful for biomonitoring and developing green belts on and along national highways.

Effect of COVID-19 lockdown on noise pollution levels in an Indian city: a case study of Kanpur.

Noise pollution is an emerging environmental threat, prolonged exposure of which can cause annoyance, sleep disturbance, hypertension, psychiatric disorders, and also hormonal dysfunction. Among all the sources of noise pollution, the noise generated by road vehicle traffic significantly affects the quality of urban environments. Concerning the recent imposition of COVID-19 societal lockdown, this study attempts to investigate the impacts of COVID-19 lockdown on the changes in noise pollution levels before, during, and after lockdown phase in different residential, commercial, industrial, and silence zones of the city of Kanpur, India. Utilizing data collected from portable environmental sensors, the average noise levels before lockdown and during lockdown were found to be in the range of 44.85 dB to 79.57 dB and 38.55 dB to 57.79 dB, respectively, for different zones. Although a significant reduction in the noise levels was observed during lockdown, except for commercial zone, all other monitoring stations had reported sound levels quite higher than the recommended noise limits set by the Central Pollution Control Board (CPCB) of India. Results further indicated that the impact of road traffic noise on risk of high annoyance and sleep disturbance was found to be lower during lockdown as compared to that of pre-lockdown and unlock phase. While the annoyance level in residential (86.23%), industrial (87.44%), and silence (84.47%) was higher in pre-lockdown period, it reduced to 41.25, 50.28, and 43.07% in the lockdown phase. Even the risk of sleep disturbance in the residential zone was found to reduce from 37.96% during pre-lockdown to 14.72% during lockdown phase. Several noise mitigation strategies are also proposed, which may indeed pave the way for devising noise control measures in the local and regional level.

Periostitis ossificans (Garrè's osteomyelitis): An unusual case.

Garrè's sclerosing osteomyelitis is a specific type of chronic osteomyelitis that mainly affects children and young adults and is commonly associated with odontogenic infection. The paper describes an unusual case of Garrè's osteomyelitis in an 11-year-old boy, in whom the condition arose following poor oral hygiene and periodontal problems in relation to permanent mandibular left first molar. Clinically the patient presented with bony hard, nontender swelling and the occlusal radiograph revealed pathognomic feature of "onion skin" appearance.

Comparison of relationship between salivary electrolyte levels and dental caries in children with Down syndrome.

AIM: The aim of this study was to relate the salivary electrolyte levels with dental caries in children with Down syndrome and to compare salivary electrolyte levels and dental caries of these children with their siblings. MATERIALS AND METHODS: Study population consisted of 30 Down syndrome children (study group) and their 30 healthy siblings (control group). Caries status was determined by dental caries indices in deciduous and permanent dentitions. Un-stimulated saliva from both groups was collected for salivary electrolyte examination. RESULTS: In the study group, mean caries experience in primary dentition was 1.00 ± 0.79 and in the control group it was 2.33 ± 1.42, the difference being statistically significant. Mean caries experience in the permanent dentition of the study group (0. 97 ± 0.76) was significantly lower than the control group (2.47 ± 1.25). Salivary electrolyte levels in the study group were significantly higher than the control group. CONCLUSION: There was a significant decrease in dental caries in primary as well as permanent dentition of Down syndrome patients with increase in their salivary electrolyte levels.

Experimental observation of a hydrodynamic mode in a flow duct with a porous material.

This paper experimentally investigates the acoustic behavior of a homogeneous porous material with a rigid frame (metallic foam) under grazing flow. The transmission coefficient shows an unusual oscillation over a particular range of frequencies which reports the presence of an unstable hydrodynamic wave that can exchange energy with the acoustic waves. This coupling of acoustic and hydrodynamic waves becomes larger when the Mach number increases. A rise of the static pressure drop in the lined region is induced by an acoustic excitation when the hydrodynamic wave is present.

Evaluation of physio-chemical properties of saliva and comparison of its relation with dental caries.

OBJECTIVE: Objective was to evaluate the relationship between physio-chemical properties of saliva such as flow rate, buffering capacity, pH, Streptococcus mutans in saliva and its relationship with dental caries. STUDY DESIGN: Eighty children were evaluated for physio-chemical properties of saliva, out which 40 were caries-active (group 1) and 40 caries-free (control group). Caries status of each child was scored by using DMFS and dfs indices to get a combined DMFS and dfs score. The physio-chemical properties were evaluated using Saliva Check (GC Asia Dental Pte Ltd- India) and streptococcus mutans using Dentocult SM Strip Mutans. RESULT: Flow rate, pH, and buffering capacity of saliva in caries-active children were decreased but not statistically significant. The Streptococcus mutant count of saliva was increased significantly in caries-active children. CONCLUSION: The physio-chemical properties of saliva like pH, buffering capacity, salivary flow rate, concentration of various components like proteins, calcium and antioxidant defense system play a major role in the development of caries. Hence, more clinical and laboratory studies are needed to determine the exact relationship between these physio-chemical properties of saliva and dental caries.

Clinical evaluation of the plaque-removing ability of four different toothbrushes in visually impaired children.

PURPOSE: To evaluate the efficacy of plaque removal of four different toothbrushes in visually disabled children. Three manual toothbrushes with different bristle designs (Oral-B CrossAction 40-regular, Oral-B ShinyClean 40-soft, Oral-B Advantage 40-soft) were compared with an electric toothbrush with an oscillating rotating head (Colgate Motion). MATERIALS AND METHODS: Forty visually impaired children in a professional education center participated in the study and were divided into 4 groups of 10 participants each. To obtain a plaque-free condition at baseline, professional toothcleaning was performed on each participant. After instructions on how to use the toothbrushes, each group started the experiment using a differently designed toothbrush. After 1 week of application, the Quigley Hein plaque index (QHI) was used to assess the oral hygiene status of each participant. Student's t-test was chosen for comparing brushes. P < 0.01 was considered as the significance level. Results were presented as mean ± standard deviation. RESULTS: The QHI values obtained with the electric Colgate Motion brush were the lowest (0.088 ± 0.051) and Advantage (0.801 ± 0.132) the highest. Although the QHI values with the manual Oral-B CrossAction (0.439 ± 0.094) were lower than those with the Oral-B shiny clean (0.503 ± 0.098), there was no statistical difference between the two. CONCLUSION: The electric toothbrushes are still the most effective in the visually disabled group. However, because of cheaper cost, easier availability and use, the Oral-B CrossAction toothbrush with criss-cross bristles could be a suitable alternative.

Determination of aliphatic amines by gas chromatography-mass spectrometry after in-syringe derivatization with pentafluorobenzoyl chloride.

A simple and highly sensitive gas chromatographic method has been developed for the determination of low molecular weight short-chain aliphatic amines (SCAAs) after their simultaneous extraction and in-syringe derivatization with pentafluorobenzoyl chloride (PFBOC). Derivatization of the low molecular weight aliphatic amines in bicarbonate buffer of pH 10.5 with PFBOC was followed by immersed solvent microextraction. Derivatization conditions, including reagent concentration, reaction pH, ionic concentration of buffer, reaction time, stirring rate, reaction temperature and extraction solvent, have been investigated for method optimization. Linearity was studied within range of 0.15 pg ml⁻¹-50 ng ml⁻¹. The correlation coefficients were between 0.9934 and 0.9999. Detection limit of derivatized amines proved to be in the range of 0.117-1.527 pg ml⁻¹, and the intraday and interday relative standard deviation (RSD) values were less than 8% with respect to peak area. The method was applied for analysis of lake, river and industrial waste water. The recoveries of extraction from lake, river and industrial waste water samples, which have been spiked with different levels of aliphatic amines, were in the range of 68-99%, 63-102% and 62-105%, respectively.

Synthesis and characterization of nano-sized zirconia powder synthesized by single emulsion-assisted direct precipitation.

For the first time, single reverse microemulsion-assisted direct precipitation route has been successfully used to synthesize tetragonal zirconia nanoparticles in narrow size range. The synthesized powder was characterized using FT-IR, XRD and HRTEM techniques. The zirconia nanoparticles obtained were spherical in shape and has narrow particle size distribution in the range of 13-31nm and crystallite size in the range of 13-23nm.

Determination of aliphatic amines by high-performance liquid chromatography-amperometric detection after derivatization with naphthalene-2,3-dicarboxaldehyde.

A simple and sensitive liquid chromatographic method has been developed for the determination of low molecular weight aliphatic amines after their pre-column derivatization with naphthalene-2,3-dicarboxaldehyde (NDA). Derivatization conditions, including the NDA concentration, reaction pH and reaction time have been investigated for method optimization. The chromatographic separation of five amines was performed on ABZ PLUS column using mobile phase of methanol-water (80:20, v/v) at a flow rate of 0.2 mL min(-1). The detection was carried out with a 6 mm glassy carbon electrode at the applied potential of 0.7 V versus Ag/AgCl reference electrode. The detection limits were between 23.3 and 34.4 nmol L(-1) of amines with a sample injection volume of 2 microL. The present method was applied for the determination of aliphatic amines in lake water. The recovery ranged 52.2-127.9%. The RSD in analytes retention time was less than 0.3% and 2.4% for intra- and inter-day analyses, respectively. The RSD in peak area was below 5.8% for both intra-day and inter-day analyses. The total analysis was completed within 20 min.