Shifts In Structure Research Articles

Vibration analysis of a partially submerged structure using the DIC technique

The continuous expansion of offshore wind turbine sites has been garnering increasing attention, particularly in countries where available land is limited. Nevertheless, efficiently allocating resources for the maintenance and repair of offshore wind turbines presents a formidable challenge. This challenge is compounded by the complex and often unpredictable weather conditions, as well as various business-related issues specific to the offshore environment. To tackle these challenges, one effective solution is to implement vibration analysis through the use of digital image correlation (DIC) methods. This approach has a well-established theoretic background dating back to approximately 2008 and has demonstrated its effectiveness in the realm of structural health monitoring for large structures like bridges and towers. Relevant information on the upper structure of the wind turbines has been obtained using numerical models in our previous work. Changes in the structural feature frequencies of wind turbines are the primary focus in vibration analysis. However, changes in feature frequencies can occur for various reasons, and relying solely on frequency shifts can make it challenging to pinpoint the precise areas of damage within wind turbine structures, especially without the benefit of long-term observations. In this study, the DIC method is employed on scaled cylindrical models to gain insights into the frequency variations stemming from the erosion of non-cohesive soils beneath offshore wind turbine foundations. Changes in modal curvature within the upper structure of the wind turbine will also be analyzed. This additional investigation will enable a clear differentiation between defects in the upper structure and frequency shifts resulting from erosion or problems with the underwater foundation.

Big data and AI in employment: The dual challenge of workforce replacement and protecting customer privacy in biometric data usage

The integration of Artificial Intelligence (AI) and Big Data is ushering in profound transformations across various industries, with biometric data usage standing out due to its deep implications for workforce dynamics and customer privacy. This review article critically examines the dual challenges presented by AI-driven automation and the extensive use of biometric data analytics, focusing on the resultant job displacement and escalating privacy concerns. Biometric technologies such as facial recognition, fingerprint identification, and voice analysis are increasingly deployed across sectors including finance, healthcare, and retail. These technologies aim to enhance security measures, improve user experience, and optimize operational efficiencies. However, they also bring to light substantial ethical dilemmas, particularly concerning the privacy of individuals and the security of the data being collected. The pervasive collection and analysis of biometric data can lead to invasive surveillance and profiling, exacerbating risks to personal privacy. Moreover, the use of AI in automating tasks that were traditionally performed by human workers is leading to significant shifts in employment structures. While AI can increase efficiency and reduce costs, it also raises the specter of widespread job displacement. This potential for automation-driven unemployment is especially pronounced in sectors that heavily utilize routine, repetitive tasks, posing critical socio-economic challenges. This article also explores the regulatory and technological frameworks currently in place, and those that are needed to address these challenges. The effectiveness of existing data protection laws, such as the General Data Protection Regulation (GDPR) in the European Union, and the California Consumer Privacy Act (CCPA) in the United States, is assessed in the context of AI and biometric data. We discuss the role of policy in shaping the ethical use of AI and protecting workers, along with the technological safeguards that could be implemented to secure biometric data and ensure privacy. By synthesizing insights from recent research, case studies, and expert analyses, this article provides a comprehensive overview of how AI and Big Data are reshaping the landscape of work and privacy. It critically discusses the need for a balanced approach that harnesses the benefits of technological advancements while safeguarding individual rights and employment security.

Dynamics of the Herpes simplex virus DNA polymerase holoenzyme during DNA synthesis and proof-reading revealed by Cryo-EM.

Herpes simplex virus 1 (HSV-1), a double-stranded DNA virus, replicates using seven essential proteins encoded by its genome. Among these, the UL30 DNA polymerase, complexed with the UL42 processivity factor, orchestrates leading and lagging strand replication of the 152 kb viral genome. UL30 polymerase is a prime target for antiviral therapy, and resistance to current drugs can arise in immunocompromised individuals. Using electron cryo-microscopy (cryo-EM), we unveil the dynamic changes of the UL30/UL42 complex with DNA in three distinct states. First, a pre-translocation state with an open fingers domain ready for nucleotide incorporation. Second, a halted elongation state where the fingers close, trapping dATP in the dNTP pocket. Third, a DNA-editing state involving significant conformational changes to allow DNA realignment for exonuclease activity. Additionally, the flexible UL30 C-terminal domain interacts with UL42, forming an extended positively charged surface binding to DNA, thereby enhancing processive synthesis. These findings highlight substantial structural shifts in the polymerase and its DNA interactions during replication, offering insights for future antiviral drug development.

A successional shift enhances stability in ant symbiont communities.

Throughout succession, communities undergo structural shifts, which can alter the relative abundances of species and how they interact. It is frequently asserted that these alterations beget stability, i.e. that succession selects for communities better able to resist perturbations. Yet, whether and how alterations of network structure affect stability during succession in complex communities is rarely studied in natural ecosystems. Here, we explore how network attributes influence stability of different successional stages of a natural network: symbiotic arthropod communities forming food webs inside red wood ant nests. We determined the abundance of 16 functional groups within the symbiont community across 51 host nests in the beginning and end stages of succession. Nest age was the main driver of the compositional shifts: symbiont communities in old nests contained more even species abundance distributions and a greater proportion of specialists. Based on the abundance data, we reconstructed interaction matrices and food webs of the symbiont community for each nest. We showed that the enhanced community evenness in old nests leads to an augmented food web stability in all but the largest symbiont communities. Overall, this study demonstrates that succession begets stability in a natural ecological network by making the community more even.

Electrostatically controlled spin polarization in Graphene-CrSBr magnetic proximity heterostructures

The magnetic proximity effect can induce a spin dependent exchange shift in the band structure of graphene. This produces a magnetization and a spin polarization of the electron/hole carriers in this material, paving the way for its use as an active component in spintronics devices. The electrostatic control of this spin polarization in graphene has however never been demonstrated so far. We show that interfacing graphene with the van der Waals antiferromagnet CrSBr results in an unconventional manifestation of the quantum Hall effect, which can be attributed to the presence of counterflowing spin-polarized edge channels originating from the spin-dependent exchange shift in graphene. We extract an exchange shift ranging from 27 – 32 meV, and show that it also produces an electrostatically tunable spin polarization of the electron/hole carriers in graphene ranging from − 50% to + 69% in the absence of a magnetic field. This proof of principle provides a starting point for the use of graphene as an electrostatically tunable source of spin current and could allow this system to generate a large magnetoresistance in gate tunable spin valve devices.

Structural shifts in bank credit ratings

We investigate the time variation in credit rating standards awarded to financial institutions of commercial bank credit ratings awarded by the three principal CRAs from 1990 to 2015 in a world-wide context by testing for well-defined structural shifts. We focus on the part of the ratings that cannot be accounted using publicly available information. We test whether major financial events are conditioning, ex-post such changes Distinctively in this paper’s timespan our analysis covers four periods: (i) before and (ii) after the 2001–2 corporate collapses, followed by (iii) before the global financial crisis and (iv) after the global financial crisis. We find substantial differences in the assignment of bank credit ratings among the three major agencies, Moody’s, Fitch, and S&P. Agencies differ both in terms of re-adjustment of ratings but also on the speed of response to the evens. All three agencies tightened ratings during the 2008 crisis and kept reducing them in its aftermath.

Pseudotyped virus infection of multiplexed ACE2 libraries reveals SARS-CoV-2 variant shifts in receptor usage.

Pairwise compatibility between virus and host proteins can dictate the outcome of infection. During transmission, both inter- and intraspecies variabilities in receptor protein sequences can impact cell susceptibility. Many viruses possess mutable viral entry proteins and the patterns of host compatibility can shift as the viral protein sequence changes. This combinatorial sequence space between virus and host is poorly understood, as traditional experimental approaches lack the throughput to simultaneously test all possible combinations of protein sequences. Here, we created a pseudotyped virus infection assay where a multiplexed target-cell library of host receptor variants can be assayed simultaneously using a DNA barcode sequencing readout. We applied this assay to test a panel of 30 ACE2 orthologs or human sequence mutants for infectability by the original SARS-CoV-2 spike protein or the Alpha, Beta, Gamma, Delta, and Omicron BA1 variant spikes. We compared these results to an analysis of the structural shifts that occurred for each variant spike's interface with human ACE2. Mutated residues were directly involved in the largest shifts, although there were also widespread indirect effects altering interface structure. The N501Y substitution in spike conferred a large structural shift for interaction with ACE2, which was partially recreated by indirect distal substitutions in Delta, which does not harbor N501Y. The structural shifts from N501Y greatly influenced the set of animal orthologs the variant spike was capable of interacting with. Out of the thirteen non-human orthologs, ten exhibited unique patterns of variant-specific compatibility, demonstrating that spike sequence changes during human transmission can toggle ACE2 compatibility and potential susceptibility of other animal species, and cumulatively increase overall compatibilities as new variants emerge. These experiments provide a blueprint for similar large-scale assessments of protein compatibility during entry by diverse viruses. This dataset demonstrates the complex compatibility relationships that occur between variable interacting host and virus proteins.

Challenges and opportunities of artificial intelligence implementation within sports science and sports medicine teams

The rapid progress in the development of automation and artificial intelligence (AI) technologies, such as ChatGPT, represents a step-wise change in human's interactions with technology as part of a broader complex, sociotechnical system. Based on historical parallels to the present moment, such changes are likely to bring forth structural shifts to the nature of work, where near and future technologies will occupy key roles as workers or assistants in sports science and sports medicine multidisciplinary teams (MDTs). This envisioned future may bring enormous benefits, as well as a raft of potential challenges. These challenges include the potential to remove many human roles and allocate them to semi- or fully-autonomous AI. Removing such roles and tasks from humans will make many current jobs and careers untenable, leaving a set of difficult and unrewarding tasks for the humans that remain. Paradoxically, replacing humans with technology increases system complexity and makes them more prone to failure. The automation and AI boom also brings substantial opportunities. Among them are automated sentiment analysis and Digital Twin technologies which may reveal novel insights into athlete health and wellbeing and team tactical patterns, respectively. However, without due consideration of the interactions between humans and technology in the broader system of sport, adverse impacts are likely to be felt. Human and AI teamwork may require new ways of thinking.

TRANSLATION SHIFTS IN THE INDONESIAN SUBTITLE OF GUY RITCHIE’S THE COVENANT (2023) MOVIE

Translation is important for people who don't know a foreign language. Translators face challenges, but use of techniques like translation shifts can make translations sound more natural and effectively communicate the original meaning to the target audience. This research aims to identify the types of translation shifts used in the Indonesian subtitle of Guy Ritchie’s The Covenant movie and to identify the possible reasons the translators used translation shifts in this movie. The research applied the theory of translation shift proposed by Catford to analyze the data. It used descriptive qualitative methods and the data is from the movie subtitle of Guy Ritchie’s The Covenant. The researcher used the Oxford Dictionary and Big Indonesian Dictionary (KBBI) applications as instruments for analyzing the data, and to ensure the analysis results. The analysis found that the Indonesian subtitles for Guy Ritchie’s The Covenant movie included all types of shifts as proposed by Catford's theory. The shifts identified in the Indonesian subtitles included level shifts and category shifts (including structure shift, unit shift, class shift, and intra-system shift). However, among these shifts, category shifts especially unit shifts, were the most dominant. The translator probably used these translation shifts due to cultural and linguistic differences, time constraints, and creative translation choices.

Species Diversity and Composition of Macrophytes in Shallabugh Wetland, Ganderbal, Jammu, and Kashmir, India

Macrophyte diversity, richness, and composition of the Shallabugh wetland Reserve, one of the Important Bird and Biodiversity Area in India. The wetland shows the presence of 39 plant species of 27 families and three tree species belonging to three families and a diversity index of H = 3.12 and Evenness e^H/S = 0.5836. The high Importance Value Index (IVI=22.8) was recorded for Typha latifolia, followed by Ceratophyllum demersum (IVI=19.2). The shift in macrophyte community structure is evidenced by the local extinction of Nelumbo nucifera from the Shallabugh wetland area and the near-disappearance of some economically important plants such as Trapa natans (IVI= 0.24). The investigation of various aspects of the wetland ecology of Shallabugh reveals that species composition has witnessed great changes over the years. The conversion of the 141 hectares of wetland into grassland gave way for terrestrial species to flourish. The study serves as the baseline study of the macrophyte community composition and structure of the Shallabugh wetland.

Dynamic capabilities and competitiveness: Relationship among industrial policy, structural transformation, and economic growth in Indonesian regional industries

The complex interactions of industrial Policy, structural transformation, economic growth, and competitive strategy within regional industries are examined in this research. Using a dynamic capabilities framework, the study examines the mediating roles of organizational innovation and adaptability in the link between competitiveness and macroeconomic variables. A two-way fixed effects model is used in this study to examine the influence of structural transformation (ST) on Industrial Policy (IP). Using regional data covering the years 2010 to 2022, the research undertaken in this paper explores the dynamics of the Indonesian economy by empirically assessing the consequences of structural change on industrial Policy. In order to establish a comprehensive model that clarifies the mechanisms through which industrial policies and structural shifts impact the development of dynamic capabilities, ultimately influencing competitiveness strategies, this research draws on a large amount of empirical data and integrates insights from seminal works. Our research adds to our knowledge of strategic management in regional industries by providing detailed information on how economic development and policy interventions influence businesses’ ability to adapt and gain a competitive edge. In addition to advancing scholarly discourse, this study offers business executives and politicians valuable insights for managing the intricacies of global economic processes.

Molecular Hydrogen Acts as a Hydrogen Bond Proton Acceptor: From Protonated Betaine Tagging to the Weakest Hydrogen Bond.

In an attempt to gain further insights into the intermolecular interactions implied by Rizzo's group's cautionary tale related to molecular tagging in infrared multiple photon dissociation (IRMPD) spectroscopy with molecular messengers [Masson, A. . J. Chem. Phys. 2015, 143, 104313], in the present study, we provide an in-depth analysis of the noncovalent interaction between the molecular hydrogen and protonated betaine molecule in the gas phase. We aim to shed some new light on the fundamental issues concerning the wide diapason of hydrogen-bonding-type intermolecular interactions, with a wide variety of proton acceptors. We demonstrate that in the course of tagging the protonated betaine with molecular hydrogen from the OH group side, it is the σ bond of molecular hydrogen that plays the role of hydrogen-bonding proton acceptor. The tagging thus induces a small yet significant red shift of the protonated betaine O-H stretching mode. We investigate the performance of a wide range of density functional theory (DFT) functionals for the calculation of anharmonic vibrational frequency shifts of the studied system, which are essential for the correct interpretation of the experimental IRMPD data. For an accurate prediction of the OH stretching frequency shifts, specifically designed functionals such as Handy's group HCTH/407 should be applied. The empirical dispersion correction enhances the systematic overestimation of the anharmonic frequency shift, characteristic of the most widely used DFT functionals. Combining the full-wave function approach with the charge field perturbation and natural bond orbital (NBO) deletion analyses, we demonstrate that the frequency shift in the OH-tagged structure is governed by the σHH → σ*OH intermolecular charge transfer. This interaction stabilizes the OH-tagged dimer as well, in contrast to the dipole-quadrupole electrostatic interaction energy term. Topological analysis of the electron density reveals the presence of an intermolecular bond critical point with a positive value of the density Laplacian very close to the lower limit for hydrogen bonds. NCI analyses demonstrate that the OH···H2 interaction is weaker than the intramolecular CH···O one within the protonated betaine molecule, with the through of reduced density gradient appearing at less negative sign(λ2)·ρ values. Analyzing the O-H stretching vibrational potential with the second-generation absolutely localized molecular orbitals energy decomposition analysis (ALMO-EDA 2) revealed that in the case of betaineH(+) tagged from the OH group side, the permanent electrostatics (ΔEelec), polarization (ΔEpol), and charge-transfer (ΔEct) contributions to the total intermolecular interaction energy contribute favorably to the weak hydrogen bond formation and to the red shift of the fundamental O-H stretching frequency, the ΔEct contribution being the most significant in the last context. The Pauli repulsion term, on the other hand, favors an O-H stretching frequency blue shift as a consequence of the vibrational confinement effects.

Entrepreneurial universities and integrated sustainability for the knowledge-based economy: self-perception and some structural challenges in the Gulf region

Innovation and the promotion of entrepreneurship are requirements of the transition towards knowledge-based economies. Universities are assigned a key role in advancing entrepreneurship through the restructuring of teaching, research, and governance with an emphasis on innovation and sustainability. In the Gulf region, universities are increasingly adopting reforms aimed at redefining their missions towards entrepreneurial education. This study examines the impact of university-based innovation and entrepreneurial models on progressing towards knowledge-based economies, with Qatar University serving as a case study. It qualitatively assesses recent university reforms and contextualizes these reforms within limitations in the national context and the political economy of the rentier states in the Gulf. The findings suggest that for Gulf region universities to effectively become entrepreneurial and support sustainable development, they must cultivate an entrepreneurial culture and mindset. This requires structural and cultural shifts that resonate with national context, institutional values, and the global sustainability goals. The study indicates that a top-down approach to developing entrepreneurial universities is less effective. It advocates for policies and incentives that motivate universities to become entrepreneurial. Ultimately, the study’s insights aim to guide policymaking to develop knowledge economy frameworks in Qatar towards a sustainable future.

Analisis Perubahan Tutupan Lahan Kecamatan Batang Anai Kabupaten Padang Pariaman Tahun 2002-2022

Land cover change is a process of change from previous land cover to other land cover and is also long or temporary in nature which is a form of logical consequence of growth and transformation. The purpose of this study was to identify and determine land cover in Batang Anai Sub-district. The research method uses the overlay method, map analysis approach and also regression statistics, namely Landsat images of land cover of the study area in 2002 and 2022 sourced from the Research Center. Significant changes in the area of each category reflect major shifts in the land use structure of the area over the period 2002 to 2022. An increase in urban and wet-rice farming, along with a decrease in the area of shrubs, are highlighted. The driving factor for land change in the Batang Anai sub-district is caused by people who want to increase their income from existing land by expanding their plantation or agricultural land and also building built-up land.

Музыкальное искусство России начала ХХ века: Эволюция

The essay is dedicated to the study of the development of Russian musical art during the transitional period (1890s-1920s). The content of each stage (decade) is examined in detail, taking into account the interpretation, semantic content and stylistic expression of the problems under consideration. In particular, the first stage (1890s) shows a movement towards new horizons, and the inertia of the established ethical and aesthetic principles of the 19th century is overcome. The key ideas of the second stage (1900s) are the emergence of a heroic-lyrical concept and the long-felt end of the Classical era. The third stage (1910s) was marked by radical and irreversible shifts in the entire structure of Russian musical art, which essentially meant the birth of the Modern. Within the framework of the final, fourth stage (1920s), the features and properties characteristic of musical art in the 1910s were brought to their conceivable limit, often receiving a hyperbolic expression; nevertheless, subsequent development was directed towards gradual stabilization, balancing, and rejection of excesses and extremes, thus outlining a movement towards an optimal rhythm of life. As a result, the principles of the next historical period began to form.

Wainganga River Back Water Environmental Impact Assessment in Gose Dam

The construction of Gose Dam along the Wainganga River has given rise to a significant backwater area, prompting a comprehensive assessment of its environmental impacts. This multidisciplinary study examines ecological, hydrological, and socio-economic dimensions to unravel the complexities of the altered ecosystem. Ecological analyses reveal shifts in habitat structure, biodiversity, and water quality, while hydrological assessments scrutinize changes in flow patterns, sediment dynamics, and flood regimes. Socio- economic investigations explore the ramifications on local communities, including shifts in livelihoods and land use practices. Through field surveys, remote sensing techniques, and stakeholder consultations, this assessment aims to inform evidence-based decision-making and facilitate the implementation of sustainable management practices. By elucidating both challenges and opportunities, this study contributes to the conservation of the Wainganga River ecosystem, ensuring its resilience and well-being for future generations.

Revealing forest structural "fingerprints": An integration of LiDAR and deep learning uncovers topographical influences on Central Amazon forests

Amazon forests are characterized by rich structural diversity. However, the influence of factors such as topography, soil attributes, and external disturbances on structural variability is not always well characterized, and traditional structural metrics may be inadequate to capture this type of complexity. While LiDAR offers expanded structural insights, traditional parameters used in LiDAR analysis, such as mean or maximum canopy height, are not always well directly linked to environmental variables like topography. Emerging approaches merge LiDAR with machine learning to uncover deeper structural complexities. However, work to date may fail to fully utilize the potential of fine-scale LiDAR information. Here we introduce a novel approach, leveraging 2D point cloud images derived from a profiling canopy LiDAR (PCL). The technique targets intricate details within LiDAR point clouds by using deep learning algorithms. With a dataset from the Central Amazon comprising 18 multitemporal transects of 450 m in length, our objective was to detect structural "fingerprints" of varied topographical types along a hillslope, comprising: Riparian, White-sand, and Plateau, and to detect any gradient of structural shifts based on terrain variations here represented by the height above the nearest drainage (HAND). The dataset was trained and tested using a leave-one-group-out approach (LOGO) in which, for each iteration, a complete 450 m multitemporal transect was excluded from training and tested after each iteration. The fast.ai platform and a ResNet-34 architecture, coupled with transfer learning, were used to perform a classification to distinguish between three topographical types. Furthermore, a hybrid model combining a Convolutional Autoencoder, and Partial Least Square (PLS) regression was designed to detect forest structural gradient correlations with HAND variation. Cross-validation achieved a promising high weighted F1 score of 0.83 to classify forests based on the topographical types. Additionally, a combined Convolutional Autoencoder and PLS regression revealed a strong correlation (R2 = 0.76) between actual and predicted HAND. Innovatively combining deep learning with ground-based PCL LiDAR, our study revealed unique Amazon Forest structures connected to topographic variation. Our findings underscore the transformative potential of such integrative approaches for investigating forest dynamics and promise a powerful new tool for understanding climate-related forest structure change.

1 The role of gut microbiota on regulation of growth and metabolism by branched-chain amino acids

Abstract Branched-chain amino acids (BCAA) including leucine, isoleucine and valine are essential amino acids, which are involved in energy homeostasis and regulation of many physiological paradigms including growth. The BCAA serve not only as an essential substrate in the synthesis of body proteins, but also have an important role in regulation of protein turnover. The effects of BCAA on growth and metabolism are likely mediated through different pathways including shifts in metabolic profile in peripheral organs, oxidative capacity of muscle, gut development, and protein metabolism in muscle. Although it has not been appropriately studied or fully dissected, the impact of BCAA on growth and metabolism is thought to lie in the alteration of gut microbiota by BCAA. It has long been believed that gut microbiota, more specifically, the activity of the microbiome and its metabolic products, directly influence a variety of aspects in metazoan physiology. For example, deregulation of bacterial community structure has been linked with host longevity and stress resistance, the pathogenesis of several disorders, regulation of appetite. Multiple studies have demonstrated that modulation of dietary BCAA levels could elicit clear shifts in gut microbial community structure. As part of “Physiology Symposium: The Microbiome and the Host: Functional Role in Metabolism, Immunity, and Gut-Brain Axis”, the possible involvement of intestinal microbiota on regulatory roles of BCAA on growth and metabolism will be discussed.

Experimental seabed disturbance effects on Chatham Rise deep-sea meiofaunal communities, Southwest Pacific

ABSTRACT Growing global demand for deep-sea resources may lead to increased pressure on benthic ecosystems. Here we examined changes in meiofaunal communities following an in situ physical disturbance experiment. A significant change in meiofaunal community structure in surface (0-1 cm) and subsurface (1-5 cm) sediments was observed immediately following the disturbance at both the directly and indirectly disturbed sites and adjacent potentially undisturbed/indirectly disturbed sites, reflecting a decrease in the abundance of several meiofaunal taxa. Abundance, taxon richness and diversity also decreased immediately following disturbance across all sites. Surface community parameters returned to pre-disturbance values one year post-disturbance, but only a partial recovery was observed for the subsurface community over the same period. The accumulation of recently resuspended and deposited sediment could have led to lower meiofaunal density and shifts in community structure. Passive dispersal and recolonisation from outside the study area may explain why the surface community recovered more fully than the subsurface community. We show that meiofauna were negatively affected by a relatively minor disturbance compared to proposed commercial seabed mining operations, but the finding that communities had largely recovered one year after disturbance has implications for resilience of fauna to much more pronounced impacts of potential large-scale mining.

The Effect of Varying Olive Mill Wastewater Concentrations on Soil Free-Living Nematode Communities and Lettuce Growth

We assessed the impact of increasing olive mill waste (OMW) concentrations (10%, 35%, 70%, and 100% v/v) on soil free-living nematode communities and Lactuca sativa (lettuce) growth, 10 and 45 days after application (DAA). L. sativa plants showed a survival threshold at OMW10%, with higher concentrations proving fatal. Contrary to expectations, nematode abundance increased with OMW concentration. OMW10% induced a rapid surge in nematode abundance, stabilizing at 45 DAA, resembling control values. OMW35%, OMW70%, and OMW100% plots exhibited persistent, gradual increases, surpassing control values at 45 DAA. All treatments favored fungal feeders, resulting in the overdominance of the genus Aphelenchus both at 10 and 45 DAA. Even though OMW did not exert a toxic effect on nematode populations, this shift in the community structure towards the dominance of a single genus could suggest an imbalance in the soil community, which could have negative implications for soil health and ecosystem functioning. Overall, our study provides insights into the complex interactions between OMW, soil nematode communities, and plant growth, emphasizing the importance of understanding soil ecology for sustainable agricultural management.