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Background: An incisional hernia (IH) after major abdominal surgery is an unwanted complication particularly following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS and HIPEC). The frequency of IH among patients treated with CRS and HIPEC remains unexpectedly high in various studies. This study aimed to analyze the incidence, determine the factors contributing to the occurrence of IH, and develop methods to reduce the incidence of IH. Methods: We retrospectively analyzed data from a prospectively maintained structured computerized comprehensive database of 360 patients who had undergone CRS and HIPEC after January 2013 and completed two years of follow-up before December 2023. All patients were followed for a minimum period of two years with physical examination and radiological imaging when required and the occurrence of IH was documented. We used SPSS software version 24 to analyze the data using appropriate statistical tests. We set a significance threshold of p < 0.05. Results: Within two years of undergoing CRS and HIPEC, 25 patients (6.9%) out of 360 developed IH, indicating an annual incidence rate of 3.5%. The mean duration of hospitalization for the CRS/HIPEC procedure was 8.4 ± 4.13 days. Fifty-two (14.4%) patients experienced early post-operative surgical complications. The development of IH in our series was significantly associated with obesity (76% vs. 8.4%, P = 0.001), the occurrence of early post-operative surgical complications (48% vs. 12%, P = 0.001), mainly category III complications (44% vs. 7.1%), category IV complications (24% vs. 2.9%) according to Clavien-Dindo classification, post neoadjuvant chemotherapy status (72% vs. 87%, P = 0.045) and need for bowel anastomosis (32% vs. 11%, P = 0.002). Conclusion: The lower incidence of IH following CRS and HIPEC in our patient cohort than in the literature can be attributed to a combination of factors, including the use of meticulous surgical techniques and the use of an abdominal binder postoperatively, particularly in obese patients. [ABSTRACT FROM AUTHOR]

Background: Chickpea is a second most important pulse crop grown in 56 countries and India rank first in production which shares 61.4% of the total world chickpea production however, productivity is very low as compared to other countries. Therefore, varietal development with inherent tolerance to biotic and abiotic stress is the prime objective to improve component productivity traits to get better yield in rainfed agro-climatic conditions. Methods: Ninety germplasm accessions of chickpea along with four check viz., JG 14, JG 16, JAKI 9218 and Radhey were evaluated in augmented block design at experimental research farm of Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India. Phenotypic data were subjected to study the genetic parameters and association analysis of yield and its component traits using SPAR 2.0 Package and Windostat Version 9.2. Result: The significant variation was observed for all the traits except number of secondary branches, number of pod per plant, number of seeds per pod among the genotypes. The maximum GCV and PCV was observed for height of first pod (35.28 and 39.29), followed by seed yield per plant (29.77 and 40.32) and number of primary branches (25.63 and 31.44). The high magnitude of heritability with genetic advance was estimated for seed index (96.61%), while the high genetic advance as per cent of mean was recorded for first pod height (65.27%). The positive and significant association of seed yield with number of pods per plant, seed index, number of seeds per pod, number of secondary branches, number of primary branches and height of first pod indicating the importance of these traits in selection criteria. Path analysis identified that number of seeds per pod, number of pods per plants, seed index and number of secondary branches per plant as highly desirable component for direct effect on seed yield per plant. The genotypes ICVT-181106 had highest selection indices for seed yield followed by ICVT-181107, PUSA-1053, JG-218, GNG-1999, ICVT-181102 and HC-5. Therefore, high GCV and PCV, significant positive direct and indirect correlation and high estimate of selection indices for grain yield can be directly and indirectly used for chickpea breeding program. [ABSTRACT FROM AUTHOR]

The present study evaluates the potential of airborne hyperspectral and space-borne multispectral satellite datasets to determine alpha (α) and beta (β) diversity combining in-situ floristic composition in tropical deciduous forests (TDFs) of Mudumalai Tiger Reserve (MTR), India. 43 forest plots (each of 0.04 ha) were sampled to record the species diversity in MTR. The very high-resolution AVIRIS-NG hyperspectral images and temporal Sentinel-2 multispectral images were used to extract spectral variables by associating each field plot with corresponding pixels of the satellite images. A high positive correlation of field-based α-diversity (Shannon-Wiener diversity index (H′)) with AVIRIS-NG based α-diversity (R2: 0.83 (2016); R2: 0.82 (2018)) was observed compared to Sentinel-2 based α-diversity (R2: 0.50 to 0.63) with high correlation during post-monsoon (R2: 0.63). Principal coordinate analysis of AVIRIS-NG based β-diversity signifies a low diversity (H′: <1.00) in the eastern parts (0.13% of MTR) in contrast to moderate (H′: 1.00 to 2.00; 13.39% of MTR) to high diversity (H′ >2.00; 86.49% of MTR) in the remaining parts of MTR. The study highlights the application of high spectral-spatial AVIRIS-NG images for precise tree diversity mapping and the high temporal-spatial Sentinel-2 satellite images for assessing the phenological variations of the forest species. The integration of high spatial-hyperspectral and temporal multispectral satellite datasets with field-based observations for fine-scale tree species diversity mapping at geographical and temporal scales is the novelty of the study that may effectively contribute in devising effective forest management plans for biodiversity conservation. [ABSTRACT FROM AUTHOR]

[Display omitted] • Rift basin thickness varies over a highly fractured crystalline basement, and fault/fracture complex geometry of the Paleoproterozoic intracratonic Kaladgi rift is revealed. • Sedimentary units of the basin with resistivities in the ranges of ∼100-2000 Ω-m are revealed beneath the Deccan volcanic province. • Electrical Moho is imaged at ∼50 km depth underneath the formations of the eastern Dharwar craton. • Deep-seated crustal fault zones are identified and match well with the geological faults, and the Chitradurga Suture Zone Archean boundaries are revealed in the upper-mantle structure. Peninsular India is traversed by several major Paleoproterozoic rift basins, among which the Kaladgi rift basin is a prominent one. Here, we present results from Magnetotelluric (MT) studies in the eastern section of this rift basin. The data were acquired along a ∼120 km long profile passing through Belavanik-Bagalkot-Ukkali regions covering the Paleoproterozoic intracratonic Kaladgi rift basin, the Cretaceous Deccan volcanic province and the Archean gneisses/granites/greenstones of the Dharwar craton. The lithospheric electrical structure was obtained from joint inversion of TE- and TM-modes data using a 2-D nonlinear conjugate gradient algorithm. The results reveal that the Kaladgi sediments are ∼500–1000 m in thickness overlying a highly fractured crystalline basement. Proterozoic sediments are exposed beneath the Deccan basalt cover and in the shallow fractured zones. The conductive-resistive transitions in the model at the crustal depths correspond to major tectonic faults and deformed crustal rocks. The transition boundary at ∼50 km depth defines the electrical Moho. At the same time, a ∼25 km wide, steep conductive feature from ∼75 km to upper mantle lithosphere depths (∼180–200 km) is interpreted as the trace of the Chitradurga Suture Zone (CSZ). The observed crustal heterogeneity, conductivity variations, and resistive lithosphere are attributed to the geological history of the region, including Archean collisional events and subsequent reactivation associated with the Reunion hotspot. The crustal conductors are associated with mafic intrusions from the underplated basalts, and also the high conductivity may be due to the sulfide mineralization in the fault zones. The MT study provides valuable insights into the deep tectonic framework of the region. [ABSTRACT FROM AUTHOR]

Green hydrogen, a carbon-neutral fuel, has the potential to reduce atmospheric greenhouse gas and plays a vital role in mitigating climate change. Its potential is immense in renewable-rich Asian economies, however, its production is yet to start with key factors such as safety parameters, resources, proper government incentives, and public acceptability affecting its optimal generation. This study employs three multi-criteria decision-making approach like analytic hierarchy process (AHP), decision-making trial and evaluation laboratory (DEMATEL), and Fuzzy-AHP followed by the sensitivity analysis to identify and prioritize the robustness of the five primary potentials (social, political, economic, technical, and environmental). Subsequently, categorized into 22 sub-potentials of green hydrogen and ideal renewable resource for the sustainable development objective of India. The results of the DEMATEL analysis suggest that the social is the key predictor and the last one is Technical. The Fuzzy-TOPSIS method suggests that solar is the best renewable energy resource followed by wind, small hydro, and biomass energy. Hence, the government's intervention and robust policy frameworks are required to increase its production with special emphasis on cost considering solar energy. The finding of this study will guide the governments, energy sector players, producers, environmental advocacy groups, and users to make a strategic decision regarding the choice of the most viable source of renewable energy to achieve the targets of sustainable development Goals (SDGs-7). • Potentials for Green Hydrogen (GH) in India. • Source of Renewable energy for Green Hydrogen production. • Integrated framework for prioritizing the GH potentials. [ABSTRACT FROM AUTHOR]

The present report communicates the first complete genome sequence of S-type Mycobacterium avium subsp. paratuberculosis, isolated from an organised goat herd in Uttar Pradesh, India. Bacteria were isolated in pure culture on Herrold's egg yolk medium (HEYM) slants containing mycobactin J from the faecal sample collected per-rectally from a clinical diseased goat, and next-generation sequencing (NGS) revealed that the genome sequence length of the isolated strain named MAP-Gt-9 is 4,509,428 bp with no plasmid DNA, with a GC content of 69.5%, an N50 value of 125,474 bp, and an L50 value of 12, containing 4235 coding DNA sequences (CDSs), 44 tRNAs, 3 ncRNAs and 1 each 5S, 16S, 23S rRNA genes. [ABSTRACT FROM AUTHOR]

ADITYA-L1 is India's first dedicated mission to observe the Sun and its atmosphere from a halo orbit around L1 point. Visible emission line coronagraph (VELC) is the primary payload on board Aditya-L1 to observe the Sun's corona. VELC is designed as an internally occulted reflective coronagraph to meet the observational requirements of wide wavelength band and the field of view close to the solar limb (1.05 R Sun ). Images of the solar corona in continuum and spectra in three emission lines 5303 Å [Fe xiv], 7892 Å [Fe xi] and 10747 Å [Fe xiii] obtained with high cadence are to be analyzed using software algorithms automatically. A reasonable part of these observations will be made in a synoptic mode in which the data are processed through a standard pipeline and the resulting products will be made available for public use. The procedure involves the calibration of instrument and detectors, converting the images into the FITS format, correcting the images and spectra for the instrumental effects, and aligning the images (in terms of position angles and image scales) etc. Then, develop image processing algorithms to detect the occurrence of energetic events using continuum images. Also derive physical parameters, such as temperature and velocity structure of solar corona using emission line observations. Here, we describe the calibration of detectors and the development of software algorithms to detect the occurrence of CMEs and analyze the spectroscopic data. [ABSTRACT FROM AUTHOR]

This study focuses on an important issue of the mental health of white-collar construction workers, a concern that has grown more serious following the COVID-19 pandemic. Therefore, the purpose of this study is to investigate the factors that influenced the mental health of the white-collar construction workers during the COVID-19 scenario. Based on the review of extant literature, a survey questionnaire was developed and distributed online to Indian professional construction workers, 206 responses were received, and a data set was prepared for further analysis. The data set was analyzed using exploratory factor analysis, and second-order confirmatory factor analysis and distinct stressors were identified. The most critical were lack of upskilling challenges (SFL=0.85) and workplace-related issues (SFL=0.85), followed by financial constraints (SFL=0.76) and family-related problems (SFL=0.44), both having a moderate impact. The results of the study were used to design a stress management matrix that recommends practical strategies to minimize work-related stress. By aligning with the UN Sustainable Development Goals, this research contributes to enhancing worker wellbeing and enhanced productivity of construction workers. [ABSTRACT FROM AUTHOR]

Aims: Japanese encephalitis (JE) is endemic in India. Although pigs are considered important hosts and sentinels for JE outbreaks in people, limited information is available on JE virus (JEV) surveillance in pigs. Methods and Results: We investigated the spatio‐temporal distribution of JEV seroprevalence and its association with climate variables in 4451 samples from pigs in 10 districts of eastern Uttar Pradesh, India, over 10 years from 2013 to 2022. The mean seroprevalence of IgG (2013–2022) and IgM (2017–2022) was 14% (95% CI 12.8–15.2) and 10.98% (95% CI 9.8–12.2), respectively. Throughout the region, higher seroprevalence from 2013 to 2017 was observed and was highly variable with no predictable spatio‐temporal pattern between districts. Seroprevalence of up to 60.8% in Sant Kabir Nagar in 2016 and 69.5% in Gorakhpur district in 2017 for IgG and IgM was observed, respectively. IgG seroprevalence did not increase with age. Monthly time‐series decomposition of IgG and IgM seroprevalence demonstrated annual cyclicity (3–4 peaks) with seasonality (higher, broader peaks in the summer and monsoon periods). However, most variance was due to the overall trend and the random components of the time series. Autoregressive time‐series modelling of pigs sampled from Gorakhpur was insufficiently predictive for forecasting; however, an inverse association between humidity (but not rainfall or temperature) was observed. Conclusions: Detection patterns confirm seasonal epidemic periods within year‐round endemicity in pigs in eastern Uttar Pradesh. Lack of increasing age‐associated seroprevalence indicates that JEV might not be immunizing in pigs which needs further investigation because models that inform public health interventions for JEV could be inaccurate if assuming long‐term immunity in pigs. Although pigs are considered sentinels for human outbreaks, sufficient timeliness using sero‐surveillance in pigs to inform public health interventions to prevent JEV in people will require more nuanced modelling than seroprevalence and broad climate variables alone. [ABSTRACT FROM AUTHOR]

Present study deals with water quality (WQ) assessment season-wise ionic concentration in the Mewat district of Haryana, India. A total of 36 groundwater samples were collected, 12 each for the pre-monsoon, monsoon, and post-monsoon seasons of 2016, to know the status of WQ for drinking and irrigation purposes. Piper, Durov, and Gibbs plots were used to find out the water type and the factors controlling the chemistry of groundwater, respectively. Piper diagram reveals that Ca-Cl and mixed Ca–Mg-C1 typed water during the pre-monsoon, monsoon, and post monsoon season's where- Na-Cl water type indicates salinity problem. Gibb's plot depicted that the weathering of rocks is the major reason behind the ionic chemistry of the groundwater. Water Quality Index (WQI) has been calculated to know the overall WQ based on physico-chemical parameters estimated for this study. It was found that Na+ concentration was dominant among cations and Cl- among anions. Moreover, irrigation indices (KR, RSC, P.I, Cl–/HCO3–,SAR, and Na%) represent that majority of the groundwater samples during pre-monsoon (PRM) season were suitable for agricultural purposes but in monsoon (MON) and post monsoon (POM) season majority of samples lie in an unsuitable zone. The groundwater in the study region presents a high risk of salinization. Using the baseline data generated through this work, there is an immediate need for carrying out a detailed study to address the groundwater issues, understand salinity mechanisms, expansion of salinization in the fresh water aquifers and to suggest suitable management and remedial measures. Extension of this work is being carried out in the form of a purpose driven study under the National Hydrology Project aided by the World Bank. [ABSTRACT FROM AUTHOR]

Background: Several observational studies have reported the prevalence of cerebral microbleeds (CMBs) and their risk factors in an elderly population. Any information in this regard is currently lacking from India. Aim of this study was to estimate the prevalence, risk factors of CMBs, and association with cognition in an Indian urban population aged 50 years and above. Methods: Household surveys were conducted as part of ongoing Longitudinal Cognition and Aging Research on Population of the National Capital Region (LoCARPoN) study in areas of urban Delhi. Magnetic resonance imaging of the brain was performed in 2599 participants. Using standard neuropsychological battery, mean Z-scores for each domain (memory, executive, information) were derived. Binary and stepwise logistic regression models were used to determine associated risk factors for the presence of CMB and its association with cognitive domains. Results: The prevalence of CMBs was 14.42% (95% confidence interval [CI]: 13.06-15.73). Of these, 203 (7.81%) participants had single CMBs and 172 (6.61%) had multiple microbleeds (≥2). Higher prevalence was observed in older age (6070 years: odds ratio [OR]: 1.25 [95% CI: 0.93-1.67]; 70-80 years: OR: 2.05 [95% CI: 1.48-2.84]; ≥80 years: OR: 3.27 [95% CI: 1.97-5.44]) compared to individuals in the age group 50-60 years. History of stroke (OR: 2.97 [95% CI: 1.56-5.66]), hypertension (OR: 1.36 [95% CI: 1.05-1.75]), and smoking (OR: 1.43 [95% CI: 1.11-1.85]) was associated with at least one CMB. Multiple CMBs were associated with worse scores in memory and executive domains. Conclusion: Older age, hypertension, history of stroke, and history of smoking emerged as important risk factors for the presence of multiple CMBs. Follow-up study is required to determine implications of CMBs. [ABSTRACT FROM AUTHOR]

Anthropogenic land use and land cover changes are major drivers of environmental degradation and declining soil health across heterogeneous landscapes in Central India. To examines the land cover changes and spatio-temporal variations in forest carbon stock and soil organic carbon (SOC) over the past 25 years in central India. Geospatial techniques, coupled with ground measurements were employed to detect changes in land cover, carbon stocks in vegetation, and soil carbon in various vegetation types. The results indicate that forested areas have decreased, while agriculture and habitation have expanded between 1997 and 2022. Vegetation C stocks varied significantly (P < 0.05) from 39.42 to 139.95 Mg ha−1 and the SOC varied from 7.02 to 17.98 Mg ha−1 under different soil profiles across vegetation types, which decreased with soil depth, while the pH and bulk density increased. The maximum bulk density in the soil was found at a depth of 40–60 cm (lower profile) in Bamboo Brake, while the minimum was observed under Dense Mixed Forest at a depth of 0–20 cm (top profile). The topsoil profile contributed 33.6%–39%, the middle profile (20–40 cm) was 33.6%–34.4%, and the lower profile was 26.5%–30.8% of soil organic carbon. The study site has experienced rapid carbon losses due to changes in land cover, such as illegal expansion of agriculture, encroachments into forest fringes, and activities like selective logging and overgrazing, which have degraded dense forests. The ecological engineering of degraded ecosystems poses a great challenge and application of complex biological, mechanical and engineering measures is highly cumbersome, expensive, uneconomical and practically not feasible for upscaling. Nevertheless, proposed nature-based solutions mimic natural reparation and processes provide sustainable interventions for the reclamation of ruined landscapes besides improving ecological integrity and rendering many co-benefits to ecosystems and human societies. • Anthropogenic LULCC are major drivers of environmental degradation and declining soil health. • Vegetation C stocks varied significantly from 39.42 to 139.95 Mg ha−1 • SOC varied from 7.02 to 17.98 Mg ha−1 under different soil profiles across vegetation types. • Proposed nature-based solutions helps in eco-restoration of degraded landscape. [ABSTRACT FROM AUTHOR]