Significant Component Research Articles

Does Employer Branding Shake Application Intentions of Potential Employees?

Companies are actively engaged in the pursuit of acquiring highly skilled candidates, referred to as the ‘war for talent’ leveraging their reputations to attract such individuals ( Schaarschmidt et al., 2021 ). However, the extent to which these efforts have yielded positive outcomes remains a matter of inquiry. This study aims to determine the degree to which applicants’ intentions to apply for job positions within an organization are affected by their perception of the employer brand. Specifically, the objective is to identify the most significant component that affects candidates’ Intention to Apply. This study empirically assesses employer branding and Application Intentions among potential employees. Data were collected from a sample of 210 MBA students who graduated from one of India’s top business schools. The collected data were analysed using PLS-SEM software. The findings reveal that an organization’s employer brand significantly influences potential employees’ Intention to Apply. Furthermore, the components of the employer brand, namely, Job Role (tasks), Compensation and Benefits, Organizational Culture, and Job Security, International Assignments emerged as the influential factors driving candidates’ Intention to Apply. It is worth noting that studies of this nature among MBA graduates from business schools are scarce. The insights gained from this study can assist managers in formulating action plans to enhance an organization’s image as a desirable employer.

Investigating the Impact of Humic Acid on Copper Accumulation in Sinonovacula constricta Using a Toxicokinetic-Toxicodynamic Model.

In aquatic ecosystems, the interaction between heavy metals and dissolved organic carbon (DOC) plays a pivotal role in modifying the bioavailability of these metals. This study, employing a toxicokinetic-toxicodynamic model, delves into the interactive effects of humic acid (HA), a significant component of DOC, on the bioaccumulation and toxicity of copper (Cu) in the estuarine economic bivalve Sinonovacula constricta. Utilizing the stable isotope 65Cu as a tracer, we evaluated Cu uptake in S. constricta under varied DOC concentrations in a controlled laboratory setting. Our findings reveal that at DOC concentrations below 3.05 mg L-1, the bioavailability of Cu is reduced due to shifts in the speciation distribution of Cu, resulting in decreased bioaccumulation within S. constricta. Conversely, at DOC levels exceeding 3.05 mg L-1, the formation of colloidal Cu-HA complexes allows its entry into the bivalves' digestive system. Moreover, toxicity assays demonstrate an increase in S. constricta survival rates with higher DOC concentrations, suggesting a protective effect of DOC against Cu toxicity. The integration of accumulation and toxicity data infers that Cu-HA complexes, when ingested via the digestive tract, exhibit lower toxicity compared to Cu directly assimilated from the water phase. These findings emphasize the need to consider environmental DOC levels in assessing Cu pollution risks and provide insights for managing heavy metal toxicity in estuarine aquaculture.

Brain connectivity for subtypes of parkinson's disease using structural MRI.

Objective. Delineating Parkinson's disease (PD) into distinct subtypes is a major challenge. Most studies use clinical symptoms to label PD subtypes while our work uses an imaging-based data-mining approach to subtype PD. Our study comprises two major objectives - firstly, subtyping Parkinson's patients based on grey matter information from structural magnetic resonance imaging scans of human brains; secondly, comparative structural brain connectivity analysis of PD subtypes derived from the former step.Approach. Source-based-morphometry decomposition was performed on 131 Parkinson's patients and 78 healthy controls from PPMI dataset, to derive at components (regions) with significance in disease and high effect size. The loading coefficients of significant components were thresholded for arriving at subtypes. Further, regional grey matter maps of subtype-specific subjects were separately parcellated and employed for construction of subtype-specific association matrices using Pearson correlation. These association matrices were binarized using sparsity threshold and leveraged for structural brain connectivity analysis using network metrics.Main results. Two distinct Parkinson's subtypes (namely A and B) were detected employing loadings of two components satisfying the selection criteria, and a third subtype (AB) was detected, common to these two components. Subtype A subjects were highly weighted in inferior, middle and superior frontal gyri while subtype B subjects in inferior, middle and superior temporal gyri. Network metrics analyses through permutation test revealed significant inter-subtype differences (p < 0.05) in clustering coefficient, local efficiency, participation coefficient and betweenness centrality. Moreover, hubs were obtained using betweenness centrality and mean network degree.Significance. MRI-based data-driven subtypes show frontal and temporal lobes playing a key role in PD. Graph theory-driven brain network analyses could untangle subtype-specific differences in structural brain connections showing differential network architecture. Replication of these initial results in other Parkinson's datasets may be explored in future. Clinical Relevance- Investigating structural brain connections in Parkinson's disease may provide subtype-specific treatment.

Assessment of Genotype X Environment Interaction and Seed Yield Stability in Sesame (Sesamum indicum L.) Using AMMI Analysis

Sesame is considered as an important oilseed crop in terms of nutritional and medicinal properties. Seed yield of any crop is highly labile to environmental factors, which may cause significant reduction in the yield performance. To get substantial stable yield production in crops like sesame, there is urgent need to identify stable genotypes that perform well under different environmental conditions. Thus, the present study has been planned with the aim to assess genotype x environment interaction (GEI) and stability analysis for seed yield per plant using additive main effect and multiplicative interaction (AMMI) model. The experiment involved evaluation of 20 sesame genotypes in randomized complete block design (RCBD) with three replications under three artificially created environments by providing different levels of fertilizers. The environment wise analysis of variance (ANOVA) revealed significant genotypic variance across all the environments. Additionally, AMMI ANOVA revealed significant environment, genotypes and GEI components. GEI component was further classified to interaction principal components (IPC), IPC1 and IPC2, which explain 66.18% and 33.82% of variance due to GEI, respectively. Further, through different stability indices (ASV and GSI) and AMMI biplots, it was revealed that genotype RT-346 and RT-351 are considered as stable genotypes and these can be further recommended to farmer under varying fertility conditions.

An Electromagnetic Load Identification Method Based on the Polynomial Structure Selection Technique

Electromagnetic loads can effectively monitor motor health and improve motor design. Considering the weak correlation of the modal shape and Chebyshev orthogonal polynomial in the space-time independent electromagnetic load identification method, a proposed method combining the polynomial structure selection technique together with limited measured displacement responses is presented, in which an error reduction ratio is used to pick out the significant mode shape matrix and the Chebyshev orthogonal polynomial. The time-history function of the electromagnetic load is reconstructed by combining the significant mode shape matrix and the identified concentrated load through modal transformation, and the corresponding spatial distribution function is fitted by the significant Chebyshev orthogonal polynomial. Eventually, a comparative numerical study considering the selection of significant components and measurement noise is carried out to prove the effectiveness of the presented method.

Inherited blood cancer predisposition through altered transcription elongation

Despite advances in defining diverse somatic mutations that cause myeloid malignancies, a significant heritable component for these cancers remains largely unexplained. Here, we perform rare variant association studies in a large population cohort to identify inherited predisposition genes for these blood cancers. CTR9, which encodes a key component of the PAF1 transcription elongation complex, is among the significant genes identified. The risk variants found in the cases cause loss of function and result in a ∼10-fold increased odds of acquiring a myeloid malignancy. Partial CTR9 loss of function expands human hematopoietic stem cells (HSCs) by increased super elongation complex-mediated transcriptional activity, which thereby increases the expression of key regulators of HSC self-renewal. By following up on insights from a human genetic study examining inherited predisposition to the myeloid malignancies, we define a previously unknown antagonistic interaction between the PAF1 and super elongation complexes. These insights could enable targeted approaches for blood cancer prevention.

Unleashing the Potential: Investigating the Empowering Effects of Field Trips on Autonomous English Learners’ Learning

Field trips have long been recognized as a significant component of educational endeavours. While students at the primary and secondary levels commonly engage in such activities, the integration of field trips into tertiary education remains infrequent. University studend who attend the English classes are seldom afforded the opportunity to directly observe authentic professional environments or explore potential workplaces related to their future careers, experiences that can be facilitated through field trips. Additionally, given the increasing emphasis on the internship program held by Indonesian Ministry of Education, Culture, Research, and Technology, a gap arises as students are limited in their exposure to real-world work environments. The objective of this research endeavour was to investigate university students' perceptions of field trip activities and assess how these experiences contribute to the development of students' autonomous learning skills. Qualitative data for this study were collected through two questionnaires, a preparation and a reflection Google sheet. The participants consisted of 27 students enrolled in the International Relations Study Program at UPN Veteran Jakarta. The findings of the study revealed that field trips offer numerous benefits to English for Professional Purposes students, including enhancing their understanding of academic concepts, providing a deeper real-world context for learning, and fostering social interaction. The questionnaire results demonstrated a predominantly positive perception among the students. Furthermore, a majority of the participants reported engaging in autonomous learning activities during the field trip, facilitated by the opportunity to interact with industry professionals and seek their guidance through questioning.

A review on the analytical methods, chemical structures, distribution characteristics, sources, and biogeochemical processes of dissolved black carbon

Incomplete combustion of biomass and fossil fuels yields a variety of chemically distinct pyrolysis residues collectively referred to as black carbon (BC). Among these residues, dissolved black carbon (DBC) constitutes the water-soluble fraction, making it a significant component of the global dissolved organic carbon (DOC) pool. Consequently, it exerts an impact on the aquatic carbon cycle and global climate change. Owing to its unique molecular structure, DBC exhibits reduced reactivity in aquatic environments, thereby influencing the toxicity and environmental geochemical behavior of organic pollutants and heavy metals. While recent years have seen a surge in studies on DBC, yielding valuable insights, significant knowledge gaps persist regarding the fate and cycling of DBC. This review consolidates the advancements in analytical and determination methods for DBC and offers a critical assessment of the advantages and limitations associated with various analytical techniques. Furthermore, it comprehensively surveys our current understanding of DBC, encompassing its molecular composition, spatial distribution, sources, and biogeochemical processes. The review also underscores prevailing challenges related to quantitative and qualitative methods and underscores research gaps concerning the physio-chemical transformation of DBC. The overarching aim is to advance our comprehension of the biogeochemical cycle of DBC.

α-L-Fucosidases from an Alpaca Faeces Metagenome: Characterisation of Hydrolytic and Transfucosylation Potential.

In various life forms, fucose-containing glycans play vital roles in immune recognition, developmental processes, plant immunity, and host-microbe interactions. Together with glucose, galactose, N-acetylglucosamine, and sialic acid, fucose is a significant component of human milk oligosaccharides (HMOs). Fucosylated HMOs benefit infants by acting as prebiotics, preventing pathogen attachment, and potentially protecting against infections, including HIV. Although the need for fucosylated derivatives is clear, their availability is limited. Therefore, synthesis methods for various fucosylated oligosaccharides are explored, employing enzymatic approaches and α-L-fucosidases. This work aimed to characterise α-L-fucosidases identified in an alpaca faeces metagenome. Based on bioinformatic analyses, they were confirmed as members of the GH29A subfamily. The recombinant α-L-fucosidases were expressed in Escherichia coli and showed hydrolytic activity towards p-nitrophenyl-α-L-fucopyranoside and 2'-fucosyllactose. Furthermore, the enzymes' biochemical properties and kinetic characteristics were also determined. All four α-L-fucosidases could catalyse transfucosylation using a broad diversity of fucosyl acceptor substrates, including lactose, maltotriose, L-serine, and L-threonine. The results contribute insights into the potential use of α-L-fucosidases for synthesising fucosylated amino acids.

The Impact of Obesity on Endometrial Cancer: A Comprehensive Analysis

Introduction and purpose: Endometrial cancer [EC] is the most common gynecological cancer in developed countries and its incidence is increasing worldwide. Obesity is a prominent risk factor associated with its incidence and progression.&#x0D; The aim of study: The article aims to provide a thorough explanation of the mechanisms through which obesity can contribute to the development of EC. Additionally, it emphasizes the crucial role of combating excess adipose tissue as a significant component of cancer prevention specifically targeting endometrial cancer.&#x0D; Material and method: ​​The literature review applied standard criteria and focused on PubMed articles using keywords: Endometrial cancer, Obesity, Mortality, Prevention, Pathogenesis&#x0D; Description of the State of Knowledge: Obesity significantly impacts EC development and prognosis, particularly in Type I cases. It modifies adipose tissue metabolism, affecting the release of various substances linked to tumor growth and mortality risk.The relative risks escalate with increasing BMI. Following an EC diagnosis, higher BMI, especially ≥40, significantly associates with increased overall mortality risk. On a preventive front,&#x0D; exercise showcases its potential in reducing EC risk by moderating insulin and estrogen levels.&#x0D; Summary: These findings underscore the critical role of obesity in both EC development and prognosis, emphasizing the potential for preventive measures. Without proactive measures, the worldwide obesity epidemic will persist, exerting a substantial effect on EC occurrences.

Modesty, religion, and community: Therapists' perspectives regarding the treatment of child sexual abuse in the ultra-orthodox community

BackgroundReligion is a significant cultural component that impacts child sexual abuse (CSA) in various ways, including its definition, perception, and treatment. This study focuses on the Jewish ultra-Orthodox community in Israel, a strictly religious, segregated, and close-knit community with unique cultural practices and beliefs that impact children's safety and vulnerability to CSA. ObjectiveThis qualitative study aimed to explore therapists' perceptions and ascribed meanings of CSA treatment within the ultra-Orthodox community. Participants and settingThirty in-depth interviews were conducted with therapists working with the ultra-Orthodox community in Israel. MethodsThe interviews were analyzed using thematic qualitative analysis. ResultsThree central axes pertinent to the treatment of CSA in the ultra-Orthodox community were discovered: 1) religious interventions, 2) modest approach, relating to the community's taboo attitude towards sexuality; and 3) the collectivistic nature of the community. The results include specific effect sizes and their statistical significance. ConclusionsThe discussion explores the findings in light of the literature on CSA among religious minority communities and connects them to the unique underlying perception of sexuality in the ultra-Orthodox community. Specific ramifications and recommendations for practice are then considered, alongside the limitations and directions for future study.

Characteristics of fungi formation in urban sewer at different flow conditions: Distribution, metabolism, and pathogenicity

Fungi are the significant components of the sewer ecology system which can consume substances and exhibit pathogenicity. However, the characteristics of fungi formation and metabolism in the complex sewer environment have not been revealed in depth. In this study, gradient flow conditions were conducted in a pilot sewer and the formation characteristics of fungi were synthetically investigated. The results showed that the low flow rate at 0.1–0.4 m/s led to the loose morphology of biofilms, while the overly loose environment did not allow fungi communities to thrive in sewer. The dense biofilms were found at the middle flow condition (0.4–0.6 m/s), and the fungal communities with degradation functions were exuberant at this condition (such as Tremellales with relative abundance of 6.18% and Talaromyces with relative abundance of 6.51%). In particular, eleven kinds of fungi with known pathogenicity of the sewer biofilm were found in this study, and it is worth noting that the abundance of pathogenic fungi at medium flow rates is significantly higher than that at other flow conditions (higher than 10 %). While, excessive flow shear force (0.8–1.2 m/s) led to biofilm shedding which caused hindering the proper generation of fungi. In summary, the pollutant transformation and pathogenic exposure conducted by fungi communities could affect the sewer management process significantly, and this study could provide research foundation for wastewater quality prediction and management of pathogenic risk in sewer systems.

Neuro-environmental interactions: a time sensitive matter.

The assessment of resting state (rs) neurophysiological dynamics relies on the control of sensory, perceptual, and behavioral environments to minimize variability and rule-out confounding sources of activation during testing conditions. Here, we investigated how temporally-distal environmental inputs, specifically metal exposures experienced up to several months prior to scanning, affect functional dynamics measured using rs functional magnetic resonance imaging (rs-fMRI). We implemented an interpretable XGBoost-shapley additive explanation (SHAP) model that integrated information from multiple exposure biomarkers to predict rs dynamics in typically developing adolescents. In 124 participants (53% females, ages, 13-25 years) enrolled in the public health impact of metals exposure (PHIME) study, we measured concentrations of six metals (manganese, lead, chromium, copper, nickel, and zinc) in biological matrices (saliva, hair, fingernails, toenails, blood, and urine) and acquired rs-fMRI scans. Using graph theory metrics, we computed global efficiency (GE) in 111 brain areas (Harvard Oxford atlas). We used a predictive model based on ensemble gradient boosting to predict GE from metal biomarkers, adjusting for age and biological sex. Model performance was evaluated by comparing predicted versus measured GE. SHAP scores were used to evaluate feature importance. Measured versus predicted rs dynamics from our model utilizing chemical exposures as inputs were significantly correlated (p < 0.001, r = 0.36). Lead, chromium, and copper contributed most to the prediction of GE metrics. Our results indicate that a significant component of rs dynamics, comprising approximately 13% of observed variability in GE, is driven by recent metal exposures. These findings emphasize the need to estimate and control for the influence of past and current chemical exposures in the assessment and analysis of rs functional connectivity.

Tracking down the rare ciliate biosphere

In protists, rare species include dormant organisms and those that do not reach high population abundance, and therefore, are not detected in the samples. These rare microorganisms are part of the so-called ‘rare microbial biosphere’. Although some may occasionally become abundant or dominant under particular environmental conditions, others do have a very rare occurrence, characterized by always having very low populations. The rare protist biosphere represents a significant component of microbial communities, and it is crucial for maintaining ecosystem biodiversity and function. In this study, we aim to demonstrate the richness of the rare ciliate biosphere and hypothesize on the reasons of rarity by combining morphological and ecological details on some exceedingly rare ciliates. The study includes the first report of different morphotypes of Dactylochlamys since 1928, first report of Penardiella undulata since 1930, second report of Penardiella interrupta since 1930, and an undescribed Penardiella species. The first report of Bryophyllum caudatum since 1933, microscopical observations and taxonomical discussion of the rare Legendrea bellerophon and of and undescribed Legendrea species. A new Apertospathula sp. with prokaryotic endosymbionts is described. The rarity of these species is explored and explained by their anaerobic metabolism combined with their prey selection.

Characterization of risks and pathogenesis of respiratory diseases caused by rural atmospheric PM2.5

Forty-six percent of the world's population resides in rural areas, the majority of whom belong to vulnerable groups. They mainly use cheap solid fuels for cooking and heating, which release a large amount of PM2.5 and cause adverse effects to human health. PM2.5 exhibits urban-rural differences in its health risk to the respiratory system. However, the majority of research on this issue has focused on respiratory diseases induced by atmospheric PM2.5 in urban areas, while rural areas have been ignored for a long time, especially the pathogenesis of respiratory diseases. This is not helpful for promoting environmental equity to aid vulnerable groups under PM2.5 pollution. Thus, this study focuses on rural atmospheric PM2.5 in terms of its chemical components, toxicological effects, respiratory disease types, and pathogenesis, represented by PM2.5 from rural areas in the Sichuan Basin, China (Rural SC-PM2.5). In this study, organic carbon is the most significant component of Rural SC-PM2.5. Rural SC-PM2.5 significantly induces cytotoxicity, oxidative stress, and inflammatory response. Based on multiomics, bioinformatics, and molecular biology, Rural SC-PM2.5 inhibits ribonucleotide reductase regulatory subunit M2 (RRM2) to disrupt the cell cycle, impede DNA replication, and ultimately inhibit lung cell proliferation. Furthermore, this study supplements and supports the epidemic investigation. Through an analysis of the transcriptome and human disease database, it is found that Rural SC-PM2.5 may mainly involve pulmonary hypertension, sarcoidosis, and interstitial lung diseases; in particular, congenital diseases may be ignored by epidemiological surveys in rural areas, including tracheoesophageal fistula, submucous cleft of the hard palate, and congenital hypoplasia of the lung. This study contributes to a greater scientific understanding of the health risks posed by rural PM2.5, elucidates the pathogenesis of respiratory diseases, clarifies the types of respiratory diseases, and promotes environmental equity.

Disparities in Cytomegalovirus Infection Rates by Race and Ethnicity among Pediatric Allogeneic Hematopoietic Cell Transplantation Recipients at a Single Center

Previous literature has reported cytomegalovirus (CMV) infection rate disparities among racial/ethnic groups of hematopoietic cell transplantation (HCT) recipients. Because race and ethnicity categorizations are social constructs unlikely to affect biological systems, it is likely there are covariates on the pathway to CMV detection, known as mediators, that can explain the observed disparity. Recent developments in mediation analysis methods enable the analysis of time-to-event outcomes, allowing an investigation of these disparities to also consider the timing of CMV infection detection relative to HCT. This study aimed to explore whether racial and ethnic CMV infection disparities existed within a population of HCT recipients at our center, and whether clinical covariates explained any observed association. The study cohort included all recipients of allogeneic HCT performed at the Children's Hospital of Philadelphia between January 2004 and April 2017 who were CMV PCR-negative pretransplantation, had known donor/recipient CMV serology, and were under blood CMV PCR surveillance. Subjects were followed for 100 days post-HCT. Accelerated failure time models using subject's reported race/ethnicity, dichotomized into non-Hispanic White (NHW) and non-NHW, and exposure and time to CMV detection as outcomes examined whether selected clinical factors-donor/recipient CMV serostatus, recipient age, indication for HCT, hematopoietic cell source, match quality-mediated any identified exposure-outcome association. The analysis included 348 HCTs performed in 335 subjects, with 86 episodes (24.7%) in which CMV was detected via PCR analysis. The accelerated failure time model without mediators estimated that non-NHW subjects had fewer CMV-free survival days (time ratio, .21; 95% confidence interval, .10 to .44). Any hypothesized mediator mediated at most 5% of the total association between race/ethnicity and time to CMV detection. Non-NHW HCT recipients had fewer CMV-free survival days than NHW recipients; none of the clinical factors hypothesized to mediate this association accounted for a significant component of total association. Further research should focus on nonclinical factors influenced by systemic racism to better understand their effect on CMV infection among HCT recipients.

Nano Urea Fertilization for More Wheat Yield Under North Western Plains Zone for Irrigated Conditions Assessed by AMMI and BLUP Analysis

Highly significant variations due to treatments, locations and TxL interactions were observed for wheat yield by analysis of variance during field evaluation of nano urea formulations at number of locations in the north western plans zone of the country. First component of AMMI analysis shared of about 51.3% while second accounted for 29.9%. Significant variations due to locations, TxL interactions and treatments effects were observed for thousands grains weight. Around 82.9% of the interaction effects accounted by two significant components while total of significant components were up to 96.9%. Maximum yield was observed at Karnal followed by Hisar more over maximum yield for 56.1 was expressed by T3 treatment. ASV1 &amp; ASV measures based on 81.3% of interaction effects selected T5, T8 and T8, T5 treatments. Average of thousands grains weight found T3, T8, T9 treatments as suitable for maximum realization and as per MASV1 and MASV settled T6, T2 treatments for thousands grains weight. Adaptability measures corresponding to BLUP estimates of yield i.e. PRVG, PRVG*Gu, HMPRVG*Gu, HMPRVG measures found T3, T4, T2 treatments for yield. Superiority index measures considering average thousands grains weight and stability in 65 and 35 ratios for weighted average settled for T3, T7, T8 treatments formulation of nano urea in the study. Biplot analysis observed Pantnagar center had expressed strong bondage with superiority index measures while considering mean, GAI and HM of treatments based on fixed and random effects of treatments. WAASB, W3, W2, W5 had maintained direct association with MASV, MASV1 on right hand side and with ASV1, W1, IPC4 on left side for yield. Treatments T13, T5 and T4 would express unstable yield as compared to T11, T6, T7 placed near to origin of biplot analysis. Thousands grains weight found that Karnal, Hisar centers with IPV2 formed the first cluster while Gurdaspur with Gwalior joined hands with superiority index measures in second cluster of biplot analysis. Next cluster was of adaptability measures PRVG, HMPRVG, PRVG*Gu, HMPRVG*Gu, mean, GAI, HM with Jammu, Delhi and Ludhiana centres. Next cluster of IPC4, IPC6 with Pantnagar observed near to large cluster of adaptability measures PRVG, HMPRVG, PRVG*Gu, HMPRVG*Gu.

Genetic Variability for the Yield and Yield-Related Traits in Some Maize (Zea mays L.) Inbred Lines in the Central Highland of Ethiopia

After rice and wheat, maize (Zea mays L.) is the third most significant and valuable crop in terms of industrial production in the world. The experiment was conducted to determine the nature and magnitude of genetic variability for various traits of maize inbred lines at the Ambo Plant Protection Research Center experimental field during 2013/2014, the major cropping season. The experiment’s design was described in 5 × 5 triple lattice designs. The results of the analysis of variance revealed that genotypic mean squares were significant for all traits, indicating that the inbred lines under study had a higher level of genetic diversity. In terms of genotypic and phenotypic variation, the largest coefficient was found in grain yield per hectare (28.49 and 35.43) followed by the number of tassel branches (23.14 and 24.92), respectively. Both days to 50% silking (91.57) and days to 50% tasseling (86.56) showed a high magnitude of broad-sense heritability. The results of the phenotypic and genotypic correlation analyses showed that grain yield per plant significantly correlated positively with five traits at both the phenotypic and genotypic levels. The number of kernels per row, aboveground biomass production per plant, harvest index, and grain yield per hectare might all be employed as selection criteria to increase the maize grain yield, according to path coefficient analysis at the phenotypic and genotypic levels. The grain yield and other significant yield components were found to be superior with inbred lines AMH169-55 and AMH169-86. Therefore, it is advised that these lines be used to further enhance the maize crop.

Ionic Polyimine-Based Composite Membrane with Inductive and Complexation Synergistic Effects for Sensitive and On-Site Fluorescent Detection of Volatile Iodine.

Along with the development of nuclear power, concerns about radioactive emissions and the potential for nuclear leakage have been widely raised, particularly of harmful iodine isotopes. However, as a significant component of nuclear air waste, the enrichment and detection of air-dispersed gaseous iodine remain a challenge. In this work, it is focused on developing an attraction-immobilization-detection strategy-based fluorescence method for the on-site detection of volatile iodine, by employing a photoluminescent ionic polyimine network-polyvinylpyrrolidone (IPIN-PVP) composite membrane. This strategy synergizes ion-induced dipole interactions from IPIN and complexation effects from PVP, allowing effective iodine enrichment and immobilization. As a result, the optimized IPIN-PVP membrane exhibits rapid response times of 5 s and a low detection limit of 4.087 × 10-8m for gaseous iodine. It also introduces a portable handheld detection device that utilizes the composite membrane, offering a practical solution for real-time on-site detection of volatile iodine. This innovation enhances nuclear safety measures and disaster management by providing rapid and reliable iodine detection capabilities.

ICT Decision Making Strategies for Good Governance

To ensure that cities solidify significant components of sustainable agriculture, especially as it relates to liveability, profitability, good governance, mangers, and profitability, many public agencies and municipal councils it around world are using ICT to initiate 'Smart City' progression for their individual components. Incorporating information and communication technologies (ICT) in to other city councils has the potential to change urban and liquid quality improvement initiatives by increasing the efficiency for which cities gain the rewards of aggregates and decreasing the costs associated with modifying to it ('grime, crime, and time'). In order to support WBG's efforts on environmentally friendly urban and liquid progress in the Indian Region, this section investigates the three essential ICT making it suitable nationally and globally more toward urban governance but instead management of water resources: e-Government, fairness, and geography information systems (GIS). We want to evaluate and understand cost-effective technologies employed within these ICT methodologies in order to enable replication efforts in urban India.