Correction: Study on the utilization of by-products of wheat milling industry for the development of biodegradable plates.

[This corrects the article DOI: 10.1007/s13197-023-05738-8.].

Prevent, curtail and mitigate ocular injuries: Proposal for designing an eye injury registry model for the Indian Armed Forces.

This article aims to propose a design for Eye Injury Registry (EIR) model for Indian Armed Forces, to make ophthalmologists and non-ophthalmologists aware about the existence as well as the usefulness of such a registry. This is a perspective study. The EIR model for Armed Forces was designed based on the relevant sources in PubMed, Scopus and Embase including registries of pioneering countries like United States and Canada. A questionnaire based on the model dimensions was developed (Cronbach's alpha>0.7) and filled by 04 senior ophthalmologists in Armed Forces, all of who had a significant experience in dealing with various types of ocular trauma, to give expert opinions, which were then applied to the proposed model to finalize it. In Armed Forces, a registry and reporting on eye injury along with a systematic collection of standard data on eye injuries will help ophthalmologists in the successful prevention. Such a registry and its large database once formed will permit elaborate epidemiologic investigations, highlighting preventable sources of injury, emerging patterns of trauma in our services, and the best possible treatment protocols to be adopted, for successful outcomes. EIR in Armed Forces can help in the collection of eye injury data, thereby improving the quality-of-care and expansion of prevention strategies for ocular injuries. It is a step to make a truly effective data bank, which will be instrumental in combating such preventable ocular injuries and in turn go a very long way in achieving the final goal of preventing up to 90% of such injuries.

Fractal dimension: analyzing its potential as a neuroimaging biomarker for brain tumor diagnosis using machine learning.

Purpose: The main purpose of this study was to comprehensively investigate the potential of fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma (LGG) and high-grade glioma (HGG) by examining tumor constituents and non-tumorous gray matter (GM) and white matter (WM) regions. Methods: Retrospective magnetic resonance imaging (MRI) data of 42 glioma patients (LGG, n = 27 and HGG, n = 15) were used in this study. Using MRI, we calculated different FD measures based on the general structure, boundary, and skeleton aspects of the tumorous and non-tumorous brain GM and WM regions. Texture features, namely, angular second moment, contrast, inverse difference moment, correlation, and entropy, were also measured in the tumorous and non-tumorous regions. The efficacy of FD features was assessed by comparing them with texture features. Statistical inference and machine learning approaches were used on the aforementioned measures to distinguish LGG and HGG patients. Results: FD measures from tumorous and non-tumorous regions were able to distinguish LGG and HGG patients. Among the 15 different FD measures, the general structure FD values of enhanced tumor regions yielded high accuracy (93%), sensitivity (97%), specificity (98%), and area under the receiver operating characteristic curve (AUC) score (98%). Non-tumorous GM skeleton FD values also yielded good accuracy (83.3%), sensitivity (100%), specificity (60%), and AUC score (80%) in classifying the tumor grades. These measures were also found to be significantly (p < 0.05) different between LGG and HGG patients. On the other hand, among the 25 texture features, enhanced tumor region features, namely, contrast, correlation, and entropy, revealed significant differences between LGG and HGG. In machine learning, the enhanced tumor region texture features yielded high accuracy, sensitivity, specificity, and AUC score. Conclusion: A comparison between texture and FD features revealed that FD analysis on different aspects of the tumorous and non-tumorous components not only distinguished LGG and HGG patients with high statistical significance and classification accuracy but also provided better insights into glioma grade classification. Therefore, FD features can serve as potential neuroimaging biomarkers for glioma.

Hyperhomocysteinemia, High Altitude, and Varied Retinal Manifestations: Unravelling the Enigma.

Rana, Vipin, Meenu Dangi, Sandepan Bandopadhayay, Vijay K. Sharma, Satyabrat Srikumar, Jitesh Goyal, and B.V. Rao. Hyperhomocysteinemia, High Altitude, and Varied Retinal Manifestations: Unravelling the Enigma. High Alt Med Biol. 24:234-237, 2023.-We present five cases of young defense personnel, who were posted at high altitude (HA) for >6 months and presented with reduction of vision between June 2022 and February 2023. The diagnosis made were ocular ischemic syndrome, central retinal artery occlusion, central retinal vein occlusion, branch retinal vein occlusion, and branch retinal artery occlusion. There were no associated comorbidities. Hematological workup revealed increased serum homocysteine and hemoglobin in all patients. Computed tomography angiography was done in cases of ocular ischemic syndrome, and central retinal artery occlusion, which revealed occlusion of carotid artery. All patients were given tab folic acid in view of hyperhomocysteinemia (HHcy). This case series highlights that prolonged exposure to HA may lead to HHcy, which can directly or indirectly lead to various sight-threatening retinal diseases. Thus, effective preventive strategies, such as dietary or pharmacological interventions aimed at lowering serum homocysteine levels, are crucial for individuals posted at HA for longer duration.

Study on the utilization of by-products of wheat milling industry for the development of biodegradable plates.

The present study aims at utilizing wheat bran and resultant atta to produce biodegradable-edible plates as an alternative to plastic plates. The edible plates were prepared using different combinations of wheat bran and resultant atta in different ratios viz., WB, 90:10 (WR10); 80:20 (WR20), 70:30 (WR30). Using farinograph, it was observed that the higher the bran higher the water absorption. The doughs from the blends were prepared with water at two different temperatures (100 °C and 27 °C), sheeted, moulded and baked. Plates produced from WR10, 20, 30 were analysed further and based on break test, leak test and sensory WR30 was chosen as the best. WR 30 was found to leak at 23.01 ± 0.24 min with hot water and 85.42 ± 0.11 min with water at room temperature. Moisture, ash, fat, protein, and total dietary fibre content was 4.3 ± 0.016, 4.90 ± 0.08, 3.86 ± 0.075, 16.06 ± 0.082 and 26.92 ± 0.166 respectively. Shelf-life predicted for plate was 250-285 days based on MSI studies done.

Dry eye disease survey among schoolteachers and children using visual display terminals during COVID-19 lockdown-CODE study ( Co vid and d ry e ye study).

Background: Lockdown during COVID-19 led to teachers and children shifting to online classes, using visual display terminals (VDTs) for education, resulting in increased screen time. The present study was done to assess and understand the nature and magnitude of the problem and to suggest preventive or remedial measures. Methods: A questionnaire-based cross-sectional study was conducted. The questionnaire was prepared for an online survey (using Google Forms) and circulated among school children belonging to different schools across India using multiple groups on social media. Results: A total of 3327 participants from 46 schools across India participated in the survey. We found a marked rise in cumulative screen time for both teachers and students before and during the lockdown. There was a threefold increase in the number of participants with a cumulative screen time 6 h or more compared to the pre-COVID era. Teachers (older participants) had worse symptom scores than students. Larger screens, like televisions, were better VDTs compared to smartphones, tablets, or laptops. Conclusions: School administrators and policymakers should pay due attention to institutionalizing the guidelines about class duration, appropriate screens, and stipulating break duration during online classes, which will continue to remain the predominant mode of education for teachers and students alike, at least in the near future.

An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices.

BACKGROUND: Segmenting brain tumor and its constituent regions from magnetic resonance images (MRI) is important for planning diagnosis and treatment. In clinical routine often an experienced radiologist delineates the tumor regions using multimodal MRI. But this manual segmentation is prone to poor reproducibility and is time consuming. Also, routine clinical scans are usually of low resolution. To overcome these limitations an automated and precise segmentation algorithm based on computer vision is needed. METHODS: We investigated the performance of three widely used segmentation methods namely region growing, fuzzy C means and deep neural networks (deepmedic). We evaluated these algorithms on the BRATS 2018 dataset by choosing randomly 48 patients data (high grade, n = 24 and low grade, n = 24) and on our routine clinical MRI brain tumor dataset (high grade, n = 15 and low grade, n = 28). We measured their performance using dice similarity coefficient, Hausdorff distance and volume measures. RESULTS: Region growing method performed very poorly when compared to fuzzy C means (fcm) and deepmedic network. Dice similarity coefficient scores for FCM and deepmedic algorithms were close to each other for BRATS and clinical dataset. The accuracy was below 70% for both these methods in general. CONCLUSION: Even though the deepmedic network showed very high accuracy in BRATS challenge for brain tumor segmentation, it has to be custom trained for the low resolution routine clinical scans. It also requires large training data to be used as a stand-alone algorithm for clinical applications. Nevertheless deepmedic may be a better algorithm for brain tumor segmentation when compared to region growing or FCM.

Application of Mathematical Modeling in Prediction of COVID-19 Transmission Dynamics.

The entire world has been affected by the outbreak of COVID-19 since early 2020. Human carriers are largely the spreaders of this new disease, and it spreads much faster compared to previously identified coronaviruses and other flu viruses. Although vaccines have been invented and released, it will still be a challenge to overcome this disease. To save lives, it is important to better understand how the virus is transmitted from one host to another and how future areas of infection can be predicted. Recently, the second wave of infection has hit multiple countries, and governments have implemented necessary measures to tackle the spread of the virus. We investigated the three phases of COVID-19 research through a selected list of mathematical modeling articles. To take the necessary measures, it is important to understand the transmission dynamics of the disease, and mathematical modeling has been considered a proven technique in predicting such dynamics. To this end, this paper summarizes all the available mathematical models that have been used in predicting the transmission of COVID-19. A total of nine mathematical models have been thoroughly reviewed and characterized in this work, so as to understand the intrinsic properties of each model in predicting disease transmission dynamics. The application of these nine models in predicting COVID-19 transmission dynamics is presented with a case study, along with detailed comparisons of these models. Toward the end of the paper, key behavioral properties of each model, relevant challenges and future directions are discussed.

Ewing Sarcoma With Emphasis on Extra-skeletal Ewing Sarcoma: A Decade's Experience From a Single Centre in India.

INTRODUCTION: The diagnosis of Ewing sarcoma family of tumours (ESFT) is challenging, especially in adults and in extra-skeletal or visceral location. Several morphologic mimics with varied treatment options and prognosis confer diagnostic dilemmas. Application of ancillary diagnostic modalities in surgical pathology in clinical routine has enabled accurate diagnosis of ESFT in bone, soft tissues, and viscera. AIM: The study aims to assess the clinicopathological features including molecular test results of ESFT with emphasis on sex, age, and location, especially extra-skeletal soft tissue and visceral location. MATERIAL AND METHODS: Data of clinicopathological, molecular tests (wherever performed), diagnosis rendered in 302 ESFT over a decade from our centre were reviewed. Statistical comparison of skeletal and extra-skeletal tumours with reference to age and sex was done using SPSS package. The P value of <.05 was considered significant. RESULTS: The cohort included 302 ESFTs with 49% skeletal and 51% extra-skeletal tumours. Thigh was most common site among skeletal tumours; chest wall, paraspinal location, and retroperitoneum among soft tissues (39.4%); and kidney, ovary, and cervix among visceral tumours (11.3%). Fluorescence in situ hybridisation for EWSR1 gene rearrangement was positive in 54 patients and reverse-transcriptase polymerase chain reaction in 19 patients. Predominance of male sex, younger age and location in extremities among skeletal tumours and lack of gender predilection, higher age and axial location in extra-skeletal tumours were noted, which were statistically significant. Molecular tests were performed more frequently in extra-skeletal tumours, especially in visceral tumours to establish the diagnosis. CONCLUSIONS: The study showed statistically significant differences in the age, sex, and location between skeletal and extra-skeletal ESFT. The increased percentage of extra-skeletal tumours especially in viscera was attributed to the increased awareness and availability of ancillary techniques.

Comparative evaluation of MAX, MXene, NanoMAX, and NanoMAX-derived-MXene for microwave absorption and Li ion battery anode applications.

MAX and MXene phases possess unique physical properties, encompassing the realms of both ceramics and metals. Their nanolaminated layered configuration, high anisotropic electrical conductivity, and ability to scatter electromagnetic radiation are beneficial in multiple applications. Herein, detailed applications of MAX and MXene are studied in the fields of microwave absorption and Li ion batteries (LIB). In particular, coatings based on MAX, MXene, ball-milled NanoMAX, and NanoMAX-derived-MXene (MXene-N) and their composites are examined in terms of their comparative efficacy for the aforesaid applications. NanoMAX and MXene-N based composites with graphite exhibit superior performance with specific reflection loss values (representing absorbance when measured with metal-backing) of -21.4 and -19 dB cm3 g-1, respectively, as compared to their bulk counterparts, that too with a low density (0.63 g cm-3) and very small thickness (0.03 mm). These performance improvements in absorbance in only 30 µm coatings can be attributed to reflective losses compounded with multiple internal reflections within the nanocomposite intensified by dielectric losses, arising from high interface density. The pristine samples were also studied for their performance as Li ion battery anodes. Herein, MXene-N exhibits the best performance with a specific capacity of 330 mA h g-1 at 100 mA g-1 and excellent cycling stability tested up to 1000 cycles.

Plasmonic Ag nanoparticles arbitrated enhanced photodetection in p-NiO/n-rGO heterojunction for future self-powered UV photodetectors.

We report on the low cost and low temperature chemical synthesis of p-type nickel oxide (NiO) and n-type reduced graphene oxide (rGO) and their integration onto ITO/glass substrate to form p-NiO/n-rGO heterojunction for possible self-powered ultraviolet (UV) photodetector applications. Different spectroscopies and microscopes were employed to study their microstructural and surface properties. Whereas, the electrical characterizations have been performed on the devices to ascertain the responsivity, detectivity, external quantum efficiency and temporal responses under dark and UV illumination. It is noteworthy that rGO has not only been used as an n-type semiconductor, but also acted as an electron transport layer, which satisfactorily separates out the electrons from the generated carrier pairs, leading to enhanced photoresponse. Furthermore, efforts were also consecrated to synthesize Ag nanoparticles (NPs) of ∼5 nm radius. The integration of Ag NPs on the conventional NiO/rGO heterojunction facilitates an improved UV light absorption property. It was understood that the performance improvement was owed to the local surface plasmon resonance of Ag NPs within the active layer of NiO. Surprisingly, both the devices (with and without Ag NPs) exhibit photovoltaic behavior which shows its potential for self-powered device application. When the Ag NPs embedded device is concerned, it showed better on/off ratio (6.3 × 103), high responsivity (72 mAW-1), large detectivity (3.95 × 1012 Jones), and high efficiency (24.46%) as compared to the conventional NiO/rGO heterojunction one (without Ag NPs). The variation in the photoresponse and improved charge transport was explained through a band-diagram, which also showcases a comprehensive understanding on the operational principle of the fabricated self-powered devices. Thus, this self-powered photodetector driven by built in electric field is operated independently and can be attached with any other electronic gadgets for internet of things applications.

Fe3O4-decorated graphene assembled porous carbon nanocomposite for ammonia sensing: study using an optical fiber Fabry-Perot interferometer.

A porous graphene-coated optical fiber Fabry-Perot interferometer (G-FPI) and Fe3O4-graphene nanocomposite coated Fabry-Perot interferometer (FG-FPI) have been investigated and compared for the detection of ammonia gas at room temperature. The sensor probes were subjected to ammonia concentrations varying from 1.5 ppm to 150 ppm. An increased sensitivity was observed for FG-FPI (36 pm ppm-1) when compared with that of G-FPI (25 pm ppm-1). The observed sensor detection limits for FG-FPI and G-FPI were around 7 and 10 ppb, respectively. The sensing mechanism was based on the change in refractive index/dielectric constant of the material; which changed the conductivity of coated material in presence of NH3. It was observed that the modified refractive index induced a wavelength shift in the FPI. The highly porous structure of graphene and the uniform dispersion of Fe3O4 nanoparticles into this framework effectively facilitated the target gas diffusion and hence improved the sensing performance. The sensing was correlated to the oxygen vacancies on the Fe3O4 surfaces and the depletion region manipulations with the ammonia interactions along with Schottky-type electron conductivity via the conducting graphene assembled porous carbon framework. The mathematical evaluation of the phenomenon also justified the excellent repeatability and reversibility of this sensitive, room temperature sensor.

Distribution of phenolic antioxidants in whole and milled fractions of quinoa and their inhibitory effects on α-amylase and α-glucosidase activities.

Whole grain quinoa and its milled fractions were evaluated for their phenolic composition in relation to their antioxidant properties and inhibitory effects on α-amylase and α-glucosidase activities. Compositional analysis by HPLC-DAD showed that the distribution of phenolic compounds in quinoa is not entirely localised in the outer layers of the kernel. Milling of whole grain quinoa resulted in about 30% loss of total phenolic content in milled grain. Ferulic and vanillic acids were the principal phenolic acids and rutin and quercetin were predominant flavonoids detected in whole grain and milled fractions. Quinoa milled fractions exhibited numerous antioxidant activities. Despite having relatively lower phenolic contents, dehulled and milled grain fractions showed significantly (p ⩽ 0.05) higher metal chelating activity than other fractions. Furthermore, extracts of bran and hull fractions displayed strong inhibition towards α-amylase [IC50, 108.68 µg/ml (bran) and 148.23 µg/ml (hulls)] and α-glucosidase [IC50, 62.1 µg/ml (bran) and 68.14 µg/ml (hulls)] activities. Thus, whole grain quinoa and its milled fractions may serve as functional food ingredients in gluten-free foods for promoting health.

Single-layer graphene-assembled 3D porous carbon composites with PVA and Fe3O4 nano-fillers: an interface-mediated superior dielectric and EMI shielding performance.

In this study, a novel composite of Fe3O4 nanofiller-decorated single-layer graphene-assembled porous carbon (SLGAPC) with polyvinyl alcohol (PVA) having flexibility and a density of 0.75 g cm(-3) is explored for its dielectric and electromagnetic interference (EMI) response properties. The composite is prepared by the solution casting method and its constituents are optimized as 15 wt% SLGAPC and 20 wt% Fe3O4 through a novel solvent relaxation nuclear magnetic resonance experiment. The PVA-SLGAPC-Fe3O4 composite shows high dielectric permittivity in the range of 1 Hz-10 MHz, enhanced by a factor of 4 as compared to that of the PVA-SLGAPC composite, with a reduced loss by a factor of 2. The temperature dependent dielectric properties reveal the activation energy behaviour with reference to the glass transition temperature (80 °C) of PVA. The dielectric hysteresis with the temperature cycle reveals a remnant polarization. The enhanced dielectric properties are suggested to be the result of improvement in the localized polarization of the integrated interface system (Maxwell-Wagner-Sillars (MWS) polarization) formed by the uniform adsorption of Fe3O4 on the surface of SLGAPC conjugated with PVA. The EMI shielding property of the composite with a low thickness of 0.3 mm in the X-band (8.2-12.4 GHz) shows a very impressive shielding efficiency of ∼15 dB and a specific shielding effectiveness of 20 dB (g cm(-3))(-1), indicating the promising character of this material for flexible EMI shielding applications.

Formulation and nutritional evaluation of multigrain ready-to-eat snack mix from minor cereals.

A ready-to-eat nutritious snack mix was developed by blending the flour from popped millets and legumes with sugar and other ingredients in the optimized proportion of 30:20:27:23. The nutrient composition, functional properties, sensory qualities and storage characteristics of the product were analysed. The product contained protein 14.0 ± 0.07 g, fat 14.5 ± 0.72 g, carbohydrates 59.0 ± 1.20 g and dietary fiber 6.3 ± 0.04 g per 100 g of mix. The sensory evaluation of the product revealed that color, taste, texture, aroma, appearance and overall quality were in acceptable range with mean score of 6.8. Shelf life of the product was about 90 days under normal conditions when stored in low density polypropylene pouches. The work indicates the potential of using coarse cereals and legumes for preparation of nutritious food for societal program.

Controlled release of antimicrobial Cephalexin drug from silica microparticles.

Release of antimicrobial drugs in a controlled fashion for extended duration of time has been investigated for long. Such controlled-drug-releasing materials show promising applications in medicinal bandages. Along with antimicrobial agents, one could also incorporate other therapeutic drugs, to make such bandages more versatile. In this context, silica micro particles were synthesized using direct reduction method, in which the synthesis was done in the presence of Cephalexin. Cephalexin was chosen as an antimicrobial candidate. The morphological characterization shows formation of monodispersed, silica microparticles of ~200nm in size. The FTIR spectroscopy shows weak interaction of the drug molecule at its hydroxide (OH) site with oxygen ions on the silica surface. Upon conjugation, the UV-vis spectroscopy shows persistence of the Cephalexin signature, especially its R group, confirming its antimicrobial activity even after conjugation. Loading studies reveal 12% Cephalexin loading on silica. The antimicrobial studies were done on three micro-organisms, namely, Staphylococcus aureus, Bacillus subtilis and Escherichia coli. Using zone-of-inhibition studies, it was found that E. coli, did not respond to the delivery of Cephalexin either directly or via microparticles. However, for both S. aureus and B. subtilis, the particles showed controlled release of Cephalexin for the duration of 48h and continued maintenance and even increase in the zone of inhibition. This work demonstrates an effective protocol to prepare antimicrobial patches for controlled drug delivery.

Chemical composition and molecular speciation of the triacylglycerol of the oils of Lonchocarpus sericeus and Lonchocarpus cyanescens.

Proximate composition of the seeds and chemical analysis of the oils of Lonchocarpus sericeus and Lonchocarpus cyanescens were determined. The oil content of the seed of L. cyanescens is 29.71 ± 0.20% while that of L. sericeus is 28.00 ± 0.50%. The seeds as well as the oils of L. cyanescens and L. sericeus were found to be rich in K, Na and Fe. Linolenic (C18:3) and oleic (C18:1) acid are the dominant fatty acids while the neutral lipids the dominant lipid class in the oils. Phytol, sterols, beta-tocopherol and hydrocarbons were identified in the unsaponifiable matters of the oils using GC-MS. The HPLC results revealed the presence of glycolipids, which are monogalactosyldiacylglycerol, digalactosyldiacylglycerol, digalactosylmonoacylglycerol and monogalactosylmonoacylglycerol. Molecular speciation of the triacylglycerol revealed the presence of molecular species with equivalent carbon chain numbers C(36) (L. sericeus) and C(50) (L. cyanescens) to be dominantly present in the oils.

Synthesis of Azidohydrin from Hura crepitans Seed Oil: A Renewable Resource for Oleochemical Industry and Sustainable Development.

The replacement of petrochemicals by oleochemical feedstocks in many industrial and domestic applications has resulted in an increase in demand for biobased products and as such recognizing and increasing the benefits of using renewable materials. In line with this, the oil extracted from the seed of Hura crepitans was characterized by an iodine value of 120.10 ± 0.70 g Iodine/100 g and a saponification number of 210.10 ± 0.40 mg KOH/g with the dominant fatty acid being C18:2 (52.8 ± 0.10%). The epoxidised fatty acid methyl esters prepared from the oil were used to synthesise the azidohydrin with a yield of 91.20%. The progress of the reaction was monitored and confirmed using FTIR and NMR. This showed the seed oil of Hura crepitans as a renewable resource that can be used to make valuable industrial and domestic products.

Rice bran lysolecithin as a source of energy in broiler chicken diet.

1. Rice bran lysolecithin (RBL) was evaluated in broiler chicken diets. In the first experiment, RBL was included in diet at 0, 0·5, 2, 8 and 32 g/kg and fed to 250 broiler chickens from 0 to 42 d of age. In the second experiment, RBL was fed at 0, 25 and 50 g/kg diet to 405 day-old broiler chickens until 21 d of age, while during the finisher phase (22-35 d of age) chickens receiving each concentration of RBL were given all three concentrations of RBL in a 3 × 3 factorial manner. The diets were isocaloric. 2. Body weight, food consumption and food conversion efficiency were unaffected by feeding RBL, while the weight of pancreas increased at ≥2 g/kg of RBL in diet (experiment 1). In experiment 2, body weight was greater in the chickens receiving RBL at either 25 or 50 g/kg (21 d) and 50 g/kg (35 d of age). At 21 d of age, food consumption was greater at 25 or 50 g RBL/kg diet, while food conversion efficiency improved with 50 g RBL/kg diet. 3. Fat digestibility increased with RBL at 32 g/kg (experiment 1) and ≤25 g/kg (experiment 2). Rice bran lysolecithin increased ready to cook weight at 50 g/kg during starter phase and decreased abdominal fat at 25 and 50 g/kg during finisher phase (experiment 2). Liver and meat fat content were not affected. 4. It is concluded that lysolecithin from rice bran oil could be used as energy supplement in broiler chicken diet.