Distinct Levels Research Articles

Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers

The difficulty of obtaining samples from certain human tissues has led to efforts to find accessible sources to analyze molecular markers derived from DNA. In this study, we look for DNA methylation patterns in blood samples and its association with the brain methylation pattern in neurodegenerative disorders. Using data from methylation databases, we selected 18,293 CpGs presenting correlated methylation levels between blood and brain (bb-CpGs) and compare their methylation level between blood samples from patients with neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease, Multiple Sclerosis, and X Fragile Syndrome) and healthy controls. Sixty-four bb-CpGs presented significant distinct methylation levels in patients, being: nine for Alzheimer’s disease, nine for Parkinson’s disease, 28 for Multiple Sclerosis, and 18 for Fragile X Syndrome. Similar differences in methylation pattern for the nine Alzheimer’s bb-CpGs was also observed when comparing brain tissue from patients vs. controls. The genomic regions of some of these 64 bb-CpGs are placed close to or inside genes previously associated with the respective condition. Our findings support the rationale of using blood DNA as a surrogate of brain tissue to analyze changes in CpG methylation level in patients with neurodegenerative diseases, opening the possibility for characterizing new biomarkers.

Growth boundary of Fusarium graminearum spores as a function of temperature, pH, and H2S based on neural network

Fusarium graminearum (F. graminearum) poses a substantial threat to global food security, with its impact closely linked to environmental conditions. This study aims to anticipate F. graminearum spore growth across diverse environments and assess alterations in the fungistatic capacity of hydrogen sulfide (H2S) gas in response to environmental variations. The experimental data, namely spore germination ratios, are monitored and recorded at hourly intervals across 100 permutations comprising four distinct temperature levels, five varying pH values, and five diverse concentrations of H2S. The investigation integrates three environmental factors as input variables, utilizing a feedforward neural network to establish growth boundaries based on spore germination ratios. The accuracy of models at various stages–training, validation, and testing–is evaluated using a confusion matrix. Logistic regression models are employed for effectiveness comparison with neural networks. Results indicate that neural networks successfully predict F. graminearum spore germination events. Notably, H2S does not influence the temperature preferences of spores. Temperature has a more substantial impact on the fungistatic ability of H2S compared to pH. The study reveals the adaptability of F. graminearum spores to adverse conditions over time. This research delves into temperature, pH, and H2S synergistic effects on spore germination, contributing to predictive models for F. graminearum and enhancing our understanding of how environmental factors regulate its growth.

Developing project-based supplier relations in a programmatic multi-project context: an exemplary case study from the construction industry

PurposeThe aim of this research is to explore how a programmatic multi-project context influences project-based firms (PBFs) in organizing their relations with other PBFs and suppliers in a project-based industry.Design/methodology/approachA multiple case study research is conducted. Data are collected from two case studies in the construction infrastructure sector. Eleven interviews with contractors and other suppliers are the primary source of data collection. The data are complemented by procurement documents and expert consultations.FindingsThe findings show that within a programmatic multi-project context, PBFs settle relations with (1) key partners for program management capacity, PBFs establish relations with (2) main contractors to divide projects and (innovation) tasks, and PBFs intensify relations with (3) suppliers to ensure continuity and expertise.Research limitations/implicationsThe study contributes to the body of project management literature by exploring PBF’s relations with other PBFs and suppliers in a multi-project context. Based on empirical data, the study provides a distinction in layers presenting distinct levels of PBF’s supplier relations. This layer structure provides an excellent starting point for future studies exploring the program perspective of PBFs in the integrated supply chain.Originality/valueGiven the increase in programmatic multi-project context for project-based domains, discussed in both literature and practice, this study explores the effect of programs on relations of PBFs with other PBFs and suppliers. The study distinguishes PBF’s relations with the different suppliers in three layers and discusses the characteristics of these relations.

Phonon-mediated infrared plasmonic metamaterial emitters towards high-capacity multifunctional encoding and display

This study introduces what we believe is a novel approach to manipulating light in the mid-infrared spectrum through phonon-mediated metal-insulator-metal (MIM) cavities. Leveraging the unique interactions between resonantly excited electric and magnetic dipoles and phonons within silicon dioxide spacers, we have developed a technology different from traditional methods that rely on geometric modifications of nanostructures, offering a more versatile and effective means of tailoring light-matter interactions at the nanoscale. Our experimental results showcase the ability of these MIM cavities to perform multifunctional information encoding, display, and concealment with high precision. Notably, we encoded 13 distinct gray levels, surpassing previous capabilities in the long-wave infrared spectrum using metamaterial emitters. Furthermore, the incorporation of rotating nanorod structures enabled the encoding of grayscale patterns through polarization states, enhancing the potential for high-capacity information storage. The study also demonstrates the capability of these structures for subwavelength-resolution printing and near-diffraction-limit information encoding in the long-wave infrared band. We have successfully employed an innovative ink coating method, transparent in the long-wave infrared but opaque in the visible spectrum, to conceal encoded information, thereby adding a layer of security. In summary, the phonon-mediated infrared plasmonic metamaterial emitters presented in this work pave the way for future research in high-capacity information storage, anti-counterfeiting, and security technologies.

Cell cycle-driven transcriptome maturation confers multilineage competence to cardiopharyngeal progenitors.

During development, stem and progenitor cells divide and transition through germ layer- and lineage-specific multipotent states to generate the diverse cell types that compose an animal. Defined changes in biomolecular composition underlie the progressive loss of potency and acquisition of lineage-specific characteristics. For example, multipotent cardiopharyngeal progenitors display multilineage transcriptional priming, whereby both the cardiac and pharyngeal muscle programs are partially active and coexist in the same progenitor cells, while their daughter cells engage in a cardiac or pharyngeal muscle differentiation path only after cell division. Here, using the tunicate Ciona, we studied the acquisition of multilineage competence and the coupling between fate decisions and cell cycle progression. We showed that multipotent cardiopharyngeal progenitors acquire the competence to produce distinct Tbx1/10(+) and (-) daughter cells shortly before mitosis, which is necessary for Tbx1/10 activation. By combining transgene-based sample barcoding with single cell RNA-seq (scRNA-seq), we uncovered transcriptome-wide dynamics in migrating cardiopharyngeal progenitors as cells progress through G1, S and G2 phases. We termed this process "transcriptome maturation", and identified candidate "mature genes", including the Rho GAP-coding gene Depdc1, which peak in late G2. Functional assays indicated that transcriptome maturation fosters cardiopharyngeal competence, in part through multilineage priming and proper oriented and asymmetric division that influences subsequent fate decisions, illustrating the concept of "behavioral competence". Both classic feedforward circuits and coupling with cell cycle progression drive transcriptome maturation, uncovering distinct levels of coupling between cell cycle progression and fateful molecular transitions. We propose that coupling competence and fate decision with the G2 and G1 phases, respectively, ensures the timely deployment of lineage-specific programs.

Revisiting the mechanism of rapid gas decompression failure in silica-reinforced NBR composites: Effect of interfacial phenomena

Sudden pressure drop in elastomers saturated with high temperature-high pressure gas produces a type of failure known as Rapid Gas Decompression (RGD). Understanding the relationship between the RGD and the material behaviour paves the way for better control of the RGD. It is the aim of the present work to study the effect of rubber-silica interfacial phenomena on the RGD resistance of nitrile butadiene rubber (NBR) composites. By grafting various degrees of a long-chain monofunctional silane onto the silica surface, composites having distinct levels of filler-induced mobility restrictions, and also controlled levels of interface strength were prepared. Also, to find the underlying mechanism responsible for controlling the RGD failure, an analysis of silica morphology, the cavitation strength, and the tear strength was performed for the composites. The RGD resistance was assessed under mild (70 MPa) and severe (cyclic test, 150 MPa) testing conditions using carbon dioxide gas. The obtained trend of the RGD damage was roughly correlated to the cavitation test, showing a higher resistance for the silica system having high filler-polymer interaction and bound rubber. It was suggested that the trend of RGD is more complicated to fully capture by a single physico-mechancial mechanism. Alternatively, inspired by the theory of fracture mechanics, it was suggested that the RGD can be better realized if the factors governing the driving force of RGD damage and the factors responsible for the resistance against the RGD are separated.

Interactions between the context of a health-care organisation and failure: the situational impact of failure on organisational learning

PurposeThis study aims to explore how health-care organisations learn from failures, challenging the common view in management science that learning is a continuous cycle. It focuses on understanding how the context of a health-care organisation and the characteristics of failure interact.Design/methodology/approachSystematically collected empirical studies that examine how health-care organisations react to failures, both in terms of learning and non-learning, were reviewed and analysed. The key characteristics of failures and contextual factors are categorised at the individual, team, organisational and global level.FindingsSeveral factors across four distinct levels are identified as being susceptible to the situational impact of failure. In addition, these factors can be used in the design and development of innovations. Taking these factors into account is expected to stimulate learning responses when an innovation does not succeed. This enhances the understanding of how health-care organisations learn from failure, showing that learning behaviour is not solely dependent on whether a health-care organisation possesses the traits of a learning organisation or not.Originality/valueThis review offers a new perspective on organisational learning, emphasising the situational impact of failure and how learning occurs across different levels. It distinguishes between good and bad failures and their effects on a health-care organisation’s ability to learn. Future research could use these findings to study how failures influence organisational performance over time, using longitudinal data to track changes in learning capacity.

Environmental analysis and comparison of the conventional and fractal glass textured surface photovoltaic panels

There are two major forms of solar energy that are typically utilized: photovoltaic and concentrated applications. The application of fractal glass texture to photovoltaic solar panels is a cutting-edge technique in the field of solar panels that generate electricity from exposure to light. When it comes to studying the environmental implications of a product during its development and commercialization, the life cycle assessment (LCA) approach is an excellent technique that can be utilized. The purpose of this study is to offer a thorough understanding of the product’s effects on the environment by taking into consideration a wide range of criteria, including environmental, economic, and other evaluations. Through the utilization of the life cycle assessment (LCA) methodology and the SimaPro software, this paper presents a comparative analysis of conventional solar panels and fractal glass texture panels. During the course of this research, 18 midpoint indicators and three endpoint indices were investigated. In addition, a sensitivity analysis has been carried out on the fractal property of the panel in order to evaluate the impact that it has on environmental impacts and damages. For the purpose of this study, three distinct levels of fractal coating were applied to the panel surface: one percent, three percent, and five percent. As a result of the data, it was determined that the “Photovoltaic cell single-Si wafer” and the “Transport, freight, sea, transoceanic tanker” had the most significant impact on the midpoint and endpoint indices for both panels, respectively. Furthermore, there is a direct association between the rise in fractal coating on panels and the reduction in environmental repercussions, approximately. This correlation exists because of several factors.

Comparative toxicity assessment of alternative versus legacy PFAS: Implications for two primary trophic levels in freshwater ecosystems

Perfluoroalkyl substances (PFAS) are common environmental pollutants, but their toxicity framework remains elusive. This research focused on ten PFAS, evaluating their impacts on two ecotoxicologically relevant model organisms from distinct trophic levels: the crustacean Daphnia magna and the unicellular green alga Raphidocelis subcapitata. The results showed a greater sensitivity of R. subcapitata compared to D. magna. However, a 10-day follow-up to the 48 h immobilisation test in D. magna showed delayed mortality, underlining the limitations of relying on EC50 s from standard acute toxicity tests. Among the compounds scrutinized, Perfluorodecanoic acid (PFDA) was the most toxic to R. subcapitata, succeeded by Perfluorooctane sulfonate (PFOS), Perfluorobutanoic acid (PFBA), and Perfluorononanoic acid (PFNA), with the latter being the only one to show an algicidal effect. In the same species, assessment of binary mixtures of the compounds that demonstrated high toxicity in the single evaluation revealed either additive or antagonistic interactions. Remarkably, with an EC50 of 31 mg L-1, the short-chain compound PFBA, tested individually, exhibited toxicity levels akin to the notorious long-chain PFOS, and its harm to freshwater ecosystems cannot be ruled out. Despite mounting toxicological evidence and escalating environmental concentrations, PFBA has received little scientific attention and regulatory stewardship. It is strongly advisable that regulators re-evaluate its use to mitigate potential risks to the environmental and human health.

Posttranscriptional tuning of gene expression over a large dynamic range in synthetic tobacco chloroplast operons.

Achieving optimally balanced gene expression within synthetic operons requires regulatory elements capable of providing a spectrum of expression levels. In this study, we investigate the expression of gfp reporter gene in tobacco chloroplasts, guided by variants of the plastid atpH 5' UTR, which harbors a binding site for PPR10, a protein that activates atpH at the posttranscriptional level. Our findings reveal that endogenous tobacco PPR10 confers distinct levels of reporter activation when coupled with the tobacco and maize atpH 5' UTRs in different design contexts. Notably, high GFP expression was not coupled to the stabilization of monocistronic gfp transcripts in dicistronic reporter lines, adding to the evidence that PPR10 activates translation via a mechanism that is independent of its stabilization of monocistronic transcripts. Furthermore, the incorporation of a tRNA upstream of the UTR nearly abolishes gfp mRNA (and GFP protein), presumably by promoting such rapid RNA cleavage and 5' exonucleolytic degradation that PPR10 had insufficient time to bind and protect gfp RNA, resulting in a substantial reduction in GFP accumulation. When combined with a mutant atpH 5' UTR, the tRNA leads to an exceptionally low level of transgene expression. Collectively, this approach allows for tuning of reporter gene expression across a wide range, spanning from a mere 0.02-25% of the total soluble cellular protein. These findings highlight the potential of employing cis-elements from heterologous species and expand the toolbox available for plastid synthetic biology applications requiring multigene expression at varying levels.

القيم الجمالية والخطية الزخرفية لكسوة الكعبة

This study seeks to explore the aesthetic and decorative values of the covering the Kaaba throughout history, focusing on design analysis. The study also aims to shed light on the genius of Arabic calligraphy embodied in the covering the Kaaba, using an analytical artistic approach and vision. The study is based on the descriptive analytical approach, The study concluded that the history of interest in designing the covering the Kaaba dates back to an ancient period before Islam, where the decorations and fabrics used developed until they reached the current form, reflecting the value of beauty and art of the covering the Kaaba through its designs, emphasizing the importance of Arab-Islamic decoration and the role of art in highlighting this. The great legacy. I also concluded that the aesthetics of Arabic calligraphy on the covering of the Kaaba express aesthetic, artistic and religious values, and carry an important message for Islam, where Arabic calligraphy is applied with the highest levels of authenticity and distinction according to artistic foundations.

Pre-gating and contextual attention gate — A new fusion method for multi-modal data tasks

Multi-modal representation learning has received significant attention across diverse research domains due to its ability to model a scenario comprehensively. Learning the cross-modal interactions is essential to combining multi-modal data into a joint representation. However, conventional cross-attention mechanisms can produce noisy and non-meaningful values in the absence of useful cross-modal interactions among input features, thereby introducing uncertainty into the feature representation. These factors have the potential to degrade the performance of downstream tasks. This paper introduces a novel Pre-gating and Contextual Attention Gate (PCAG) module for multi-modal learning comprising two gating mechanisms that operate at distinct information processing levels within the deep learning model. The first gate filters out interactions that lack informativeness for the downstream task, while the second gate reduces the uncertainty introduced by the cross-attention module. Experimental results on eight multi-modal classification tasks spanning various domains show that the multi-modal fusion model with PCAG outperforms state-of-the-art multi-modal fusion models. Additionally, we elucidate how PCAG effectively processes cross-modality interactions

Curious subgroups of $${\text {GL}}(2, {\mathbb {Z}}/ N {\mathbb {Z}})$$ as direct products of groups of distinct prime-power level

Curious subgroups of $${\text {GL}}(2, {\mathbb {Z}}/ N {\mathbb {Z}})$$ as direct products of groups of distinct prime-power level

A review of recent image synthesis techniques

Deep neural networks typically demand a substantial volume of labeled training data. Nonetheless, the process of gathering and annotating this training data is frequently labor-intensive and time-consuming. One way to address this issue is through Image Composition. Image composition refers to the process of combining multiple visual elements or components. It may involve techniques like image synthesis or generation, where algorithms generate new images by combining elements from existing ones. This paper aims to overview the recent advancements in Image Composition based on deep networks and relevant applications. It offers an extensive overview of the concepts, principles, and techniques related to Image Composition. Subsequently, it delves into two distinct levels at which image composition can be accomplished: specifically, with 2D elements and 3D objects. Furthermore, the method of achieving composition with point clouds is presented.

Therapeutic potential of Buddleja Polystachya Fresen (stem and leaves) extracts: antimicrobial and cytotoxic properties for ocular disease management

This study on Buddleja polystachya highlights its phytochemical composition, antimicrobial activity, and cytotoxic impacts. The study emphasizes the plant’s potential to treat ocular diseases by identifying important compounds involved in the bioactivity through GC-MS analysis. This study explores the antimicrobial and cytotoxic potential of Buddleja polystachya (stem and leaves) extracts, with a focus on their application in treating bacterial ocular infections and their efficacy against MCF7, HT29, and HepG2 cancer cells. Through comprehensive GC-MS analysis, a diverse array of phytochemicals was identified within Buddleja polystachya stem and leaves extracts, including carbohydrates, phenolic derivatives, fatty acids, and steroidal components. The extracts were then evaluated for their biological activities, revealing significant antimicrobial properties against a range of bacterial strains implicated in ocular infections. The research findings demonstrate that stem extracts derived from Buddleja polystachya demonstrated high to moderate cytotoxic effects on cancer cell lines MCF7, HT29, and HepG2. Notably, these effects were characterized by varying IC50 values, which suggest distinct levels of sensitivity. In contrast, leaf extracts exhibited reduced cytotoxicity when tested against all these cell lines, although they did so with a significantly higher cytotoxicity aganist HepG2 cells. The results of this investigation highlight the potential therapeutic utilization of Buddleja polystachya extracts in the management of ocular infections and cancer. These results support the need for additional research to elucidate the underlying mechanisms of action of these extracts and explore their potential as drugs.

Dry Matter Accumulation, Water Productivity and Quality of Potato in Response to Regulated Deficit Irrigation in a Desert Oasis Region.

As one of the most important food crops, the potato is widely planted in the oasis agricultural region of Northwest China. To ascertain the impact of regulated deficit irrigation (RDI) on various facets including dry matter accumulation, tuber yield, quality and water use efficiency (WUE) of potato plants, a two-growth season field experiment under mulched drip irrigation was conducted in the desert oasis region of Northwest China. Water deficits, applied at the seedling, tuber formation, tuber expansion and starch accumulation stages, encompassed two distinctive levels: mild (55-65% of field capacity, FC) and moderate (45-55% FC) deficit, with full irrigation (65-75% FC) throughout the growing season as the control (CK). The results showed that water deficit significantly reduced (p < 0.05) above-ground dry matter, water consumption and tuber yield compared to CK, and the reduction increased with the increasing water deficit. A mild water deficit at the tuber formation stage, without significantly reducing (p > 0.05) yield, could significantly increase WUE and irrigation water use efficiency (IWUE), with two-year average increases of 25.55% and 32.33%, respectively, compared to CK. Water deficit at the tuber formation stage increased starch content, whereas water deficit at tuber expansion stage significantly reduced starch, protein and reducing sugar content. Additionally, a comprehensive evaluation showed that a mild water deficit at the tuber formation stage is the optimal RDI strategy for potato production, providing a good balance between yield, quality and WUE. The results of this study can provide theoretical support for efficient and sustainable potato production in the desert oasis regions of Northwest China.

Vacuolar H+-ATPase determines daughter cell fates through asymmetric segregation of the nucleosome remodeling and deacetylase complex.

Asymmetric cell divisions (ACDs) generate two daughter cells with identical genetic information but distinct cell fates through epigenetic mechanisms. However, the process of partitioning different epigenetic information into daughter cells remains unclear. Here, we demonstrate that the nucleosome remodeling and deacetylase (NuRD) complex is asymmetrically segregated into the surviving daughter cell rather than the apoptotic one during ACDs in Caenorhabditis elegans. The absence of NuRD triggers apoptosis via the EGL-1-CED-9-CED-4-CED-3 pathway, while an ectopic gain of NuRD enables apoptotic daughter cells to survive. We identify the vacuolar H+-adenosine triphosphatase (V-ATPase) complex as a crucial regulator of NuRD's asymmetric segregation. V-ATPase interacts with NuRD and is asymmetrically segregated into the surviving daughter cell. Inhibition of V-ATPase disrupts cytosolic pH asymmetry and NuRD asymmetry. We suggest that asymmetric segregation of V-ATPase may cause distinct acidification levels in the two daughter cells, enabling asymmetric epigenetic inheritance that specifies their respective life-versus-death fates.

Analytical quality by design (AQbD) based optimization of RP-UPLC method for determination of nivolumab and relatlimab in bulk and pharmaceutical dosage forms

BackgroundThe Analytical Quality by Design (AQbD) methodology extends the application of Quality by Design (QbD) principles to the management of the analytical procedure life cycle, encompassing method creation, optimization, validation, and continuous improvement. AQbD assists in creating analytical procedures that are robust, reliable, precise, and cost-efficient. Opdualag™ is a combination of Nivolumab and Relatlimab, which are antibodies that block programmed death receptor-1 (PD-1) and lymphocyte-activation gene 3 (LAG-3) receptors, used to treat advanced melanoma. This work aims to develop and validate a reversed-phase ultra-performance liquid chromatography (RP-UPLC) method using AQbD principles to determine NLB and RTB in pharmaceutical products.ResultsA central composite design (CCD) comprising three factors arranged in five distinct levels was implemented via Design-expert® software to optimize the chromatographic conditions. A mathematical model was constructed and the effects of three independent factors namely flow rate (X1), percentage of methanol in the mobile phase (X2), and temperature (X3) on responses including retention time (Y1–2), resolution factor (Y3), theoretical plates (Y4–5), and tailing factor (Y6–7) were investigated. The software determined the optimal chromatographic conditions for the separation of NLB and RTB, which were as follows: 32.80% methanol in the mobile phase, 0.272 mL/min flow rate, 29.42 °C column temperature, and 260 nm UV detection. The retention time for NLB and RTB were 1.46 and 1.88 min, respectively. The method exhibited linearity across the concentration ranges of 4–24 µg/mL for RTB and 12–72 µg/mL for NLB. The limits of detection (LOD) and limit of quantification (LOQ) for NLB and RTB, respectively, were 0.89 µg/mL, 2.69 µg/mL and 0.15 µg/mL and 0.46 µg/mL. The percentage relative standard deviation (%RSD) of intraday and interday precision for NLB and RTB was below 2. The recovery percentages for NLB and RTB were determined to be 99.57–100.43% and 99.59–100.61%, respectively. Both drugs were found to be susceptible to oxidative and photolytic degradation in forced degradation studies.ConclusionsEmploying the AQbD-based methodology, a straightforward, fast, accurate, precise, specific, and stability-indicating RP-UPLC method has been established for the quantitative analysis of NLB and its RTB in pharmaceutical formulations.

Visible light-driven removal of Rhodamine B using indium-doped zinc oxide prepared by sol–gel method

Industrial dye contamination in wastewater poses significant environmental challenges, necessitating the development of efficient photocatalysts for degradation. In this work, we investigate the In doping effect in the photocatalytic activity of zinc oxide (ZnO) nanoparticles for effective RhB degradation. Indium-doped ZnO nanoparticles were synthesized via sol–gel method and x-ray diffraction (XRD) analysis revealed a wurtzite hexagonal structure, with the crystallite size being varying from 65 nm to 53 nm with the introduction of In content. XPS measurements on the 3% In-doped ZnO sample revealed distinct core level spectra for In 3d, Zn 2p, and O 1s regions, confirming the presence of indium, zinc, and oxygen. Brunauer–Emmett–Teller (BET) analysis revealed increased surface area and pore size, with specific surface areas escalating from 0.9 m²/g for pure ZnO to 10.1 m²/g for 3% indium-doped ZnO. Photocatalytic experiments exhibited significant RhB degradation, with degradation efficiencies reaching 93% for 3% indium-doped ZnO under visible light irradiation due to the effect of the presence of In, which causing light absorption enhancement, narrow the band gap and improve charge carrier separation. These findings underscore the potential of indium-doped ZnO nanoparticles as efficient and sustainable photocatalysts for wastewater treatment, offering a promising avenue to address environmental challenges associated with industrial dye-contaminated effluents.Graphical

Establishing self-concordant goals: a longitudinal study on the influence of ego identity on goal self-concordance.

Self-concordant goals are those that align closely with an individual's intrinsic interests and values, driving autonomous motivation, and resulting in higher satisfaction and goal achievement. The relevance of studying the link between ego identity and goal self-concordance lies in understanding how a well-defined ego identity can foster the pursuit of authentic and fulfilling goals. This study investigates the relationship between ego identity and goal self-concordance, focusing on how individuals' sense of identity influences their alignment with personal goals. Data were gathered through a cross-sectional analysis of 292 students and a longitudinal follow-up with 98 participants over two intervals. Results confirmed significant correlations between ego identity status and various dimensions of goal self-concordance. Notably, different ego identity statuses exhibited distinct levels of goal self-concordance, ranked from highest to lowest as follows: identity achievement, achievement-foreclosure intermediate, moratorium, foreclosure, moratorium-diffusion intermediate, and diffusion. Cross-lagged analysis revealed a causal relationship where ego identity influences goal self-concordance, providing insights into the cognitive and behavioral processes involved in goal setting. This study extends the implications of the goal self-concordance model and reveals a causal relationship between ego identity status and goal self-concordance. From a practical perspective, our findings suggest that educational and developmental interventions aimed at supporting identity development and commitment could lead to more self-concordant goal setting. Such programs could ultimately promote greater well-being and personal growth among students.