Distinct Qualities Research Articles

Optimizing quality and cost in remanufacturing under uncertainty

AbstractIn the context of growing sustainability demands, businesses are increasingly adapting their production practices by integrating remanufacturing. However, companies often face challenges in profitably implementing remanufacturing due to complexities arising from uncertainties in processes, product quality, and market conditions. This highlights the need for effective decision support in remanufacturing processes. Addressing this challenge, our research introduces an algorithm designed to identify cost-efficient process plans that optimize order fulfillment while considering a company’s specific capabilities and inventory levels. By modeling the remanufacturing planning process as a Markov process, our algorithm comprehensively accounts for both process-related and quality-related uncertainties. This approach enables the evaluation of all Pareto optimal process plans in terms of cost efficiency and reliability. We validate our methodology through a real-world application in the automation industry, specifically focusing on the remanufacturing of variable speed drives. This case study demonstrates the practical relevance of our approach and a potential for significant cost reductions, enhanced process efficiency, and improved labor productivity. Overall, businesses gain critical insights into the financial prospects of their remanufacturing efforts, identifying opportunities for optimization and expansion into new product quality categories. This enhances their economic potential and aligns with consumer preferences for distinct product qualities.

A Survey on Role of Artificial Intelligence and Internet of Things in Sericulture

This paper takes a deep dive into the captivating world of sericulture and the unique varieties of silk that have graced humanity throughout history. The work carried out in the paper provides an insight of exploring the different types of silk, including Muga Silk, Tussar Silk, Mulberry Silk and Eri Silk. Each of these silk has its own distinct qualities, weaving a rich tapestry of textures, colors and cultural significance that has enthralled people for generations. As the technological advancements have provided the interdisciplinary approach of understanding the role of artificial intelligence, machine learning and deep learning approaches in the area of sericulture, wide verities of techniques, methods and analysis are available in the literature. The paper aims at presenting an exhaustive literature survey on using AI based methods, applications in sericulture. In essence, this paper showcases the beautiful synergy of tradition and technology in sericulture

THE HISTORICAL BEDROCK OF HOLY QUR’AN’S MANUSCRIPT IN MALAYSIA: A STUDY ON ITS STYLE OF CALLIGRAPHY AND ILLUMINATION

The focus of this article is to examine the historical foundation of the Holy Qur’an’s manuscript in Malaysia, with specific attention to its calligraphic style and illumination. Islamic calligraphy and manuscript traditions hold significant importance within the Malaysian Muslim heritage. These traditions have been inherited and evolved over generations, with the earliest examples of Arabic calligraphy being found in the Holy Qur'an, commonly inscribed in a script known as Kufic. The historical roots of Islam are deeply intertwined with the Holy Qur'an's manuscript, making it a primary source for understanding the advent of Islam. In this research, an extensive array of resources from the Islamic Art Museum Malaysia (IAMM) and the National Library of Malaysia (NLM) were utilised, alongside personal collections and secondary sources. Data analysis involved employing philological, comparative, deductive, and inductive methodologies. Through this approach, it was revealed that the production of Malay Holy Qur'an's manuscripts has been significantly influenced by local creative input and intellectual contributions from regions such as Turkey, China, and Persia. The study particularly accentuates the diverse calligraphic and illumination techniques across different nations. Notably, manuscripts from the west coast of Peninsular Malaysia, specifically from Malacca and Johor, exhibit distinct artistic qualities that set them apart from those originating from the east coast, including Kelantan and Terengganu. This underscores the prevalence of varied artistic expressions resulting from a broad spectrum of cultural interactions. The development of calligraphy and illumination methods in Malaysian Holy Qur'an's manuscripts mirrors a wide range of artistic expressions, which are shaped by both local innovation and broader Islamic intellectual traditions.

A Comprehensive Review of Piezoelectric Ultrasonic Motors: Classifications, Characterization, Fabrication, Applications, and Future Challenges.

Piezoelectric ultrasonic motors (USMs) are actuators that use ultrasonic frequency piezoelectric vibration-generated waves to transform electrical energy into rotary or translating motion. USMs receive more attention because they offer distinct qualities over traditional magnet-coil-based motors, such as miniaturization, great accuracy, speed, non-magnetic nature, silent operation, straightforward construction, broad temperature operations, and adaptability. This review study focuses on the principle of USMs and their classifications, characterization, fabrication methods, applications, and future challenges. Firstly, the classifications of USMs, especially, standing-wave, traveling-wave, hybrid-mode, and multi-degree-of-freedom USMs, are summarized, and their respective functioning principles are explained. Secondly, finite element modeling analysis for design and performance predictions, conventional and nano/micro-fabrication methods, and various characterization methods are presented. Thirdly, their advantages, such as high accuracy, small size, and silent operation, and their benefits over conventional motors for the different specific applications are examined. Fourthly, the advantages and disadvantages of USMs are highlighted. In addition, their substantial contributions to a variety of technical fields like surgical robots and industrial, aerospace, and biomedical applications are introduced. Finally, their future prospects and challenges, as well as research directions in USM development, are outlined, with an emphasis on downsizing, increasing efficiency, and new materials.

The Relationship Between AI and Unemployment Rate and the Solution

Technological advancements and significant strides in artificial intelligence have undeniably propelled economic growth. Integrating AI into production processes enhances productivity and efficiency. AI systems can operate continuously without breaks, and advanced technologies minimize the risk of human errors, producing high-quality goods and reducing costs. Ever since the inception of ChatGPT, the discourse surrounding the potential replacement of human labor by artificial intelligence has been a recurring theme. However, specific industries within the job market are resistant to being replaced by artificial intelligence, as they require distinct human qualities like creativity, emotion, and decision-making skills. These professions require problem-solving, interpersonal skills, emotional understanding, moral decision-making, and various unique human talents. This paper analyses the relationship between AI and the unemployment rate and the solution. It revealed the temporary decline in production efficiency, including short-term production efficiency reduction and long-term productivity improvements. Various policies can be implemented to address the issues mentioned, including initiatives to enhance education and improve the transparency of AI applications.

Ichthyoplankton dynamics in the Brazilian Pantanal: Contribution of an important tributary and maintenance of connectivity

AbstractIn order to investigate the reproductive dynamics of the ichthyofauna in the Brazilian Pantanal, this study examines the spatial and temporal distribution of ichthyoplankton, taxonomic composition, and its correlation with environmental factors within one of the most important sub‐basins, the Taquari River. Egg and larvae collections were conducted at 11 sampling points between October and March of 2017/2018 and 2018/2019. Significant differences were observed between collection points, months, and years, with higher ichthyoplankton densities in the Coxim and Taquari rivers, particularly between November and January. Twenty‐eight genera and/or species of fish were identified, including 10 long‐distance migratory species. Egg density showed a negative correlation with water temperature and rainfall. For larvae, water transparency and rainfall were both significant, negatively influencing larval abundance. However, different species tend to occur in environments with distinct abiotic qualities. Yolk‐sac, preflexion, and flexion larval development stages were distributed throughout the sub‐basin, especially near the Pantanal. Considering the data and analyses presented in this study, the importance of connectivity between these environments, specifically between the plateau and Pantanal, is evident, highlighting the significance of the entire sub‐basin for fish reproductive processes. Therefore, research focusing on the ecological processes influencing the distribution of ichthyoplankton offers valuable insights for ecosystem conservation and aids in effective environmental management.

Computing irregular hypar-based quad-mesh patterns for segmented timber shells

Hyperbolic paraboloids, “hypars,” are special types of ruled surfaces. Their geometric properties provide them with loadbearing and stabilizing capacities, as well as distinct esthetic qualities. These attributes become evident in numerous applications in buildings, in many of which concrete or timber is used for the construction of the hypars. Hypars could also be relevant in the context of circular construction and design for disassembly, and the upcycling of construction waste. Due to the geometric simplicity of straight lines, which generate ruled surfaces, hypar-based structures can be designed and built with relatively simple means. They can consist of self-similar or even identical elements, which could facilitate their reuse.Compared to other types of ruled surfaces, such as conoids, hypars have the advantage of being doubly ruled, meaning that structural grids of straight elements can be formed. This paper investigates another interesting property, which is the possibility of creating flat-quad meshes by diagonally connecting the intersection points of the generatrices. This property has been previously described by other scholars, some of which explored its applicability for glass-clad steel grid shells. In this research, we focus on its potential for segmented timber shells that can serve as stand-alone structures, or as modular and reusable building parts, such as façade or roof components. The reusability of such modular units could be achieved by using reversible joints between them.More specifically, our research investigates the design space of construction systems based on such components via computational design and optimization algorithms, such as the memory limited Broyden–Fletcher–Goldfarb–Shanno (LBFGS) algorithm with automatic computation of the gradient, within the Julia programming environment. By applying principles and methods of differential geometry, we study hypars with irregular tilings, enabling the integration of panels with diverse proportions, shapes and sizes, as they can occur in wood production waste. By reducing construction waste, the work aims at reducing the negative environmental impact of the building construction sector. Moreover, irregular tilings could enable a more customized design of acoustic qualities and offer visual variety in segmented hypar based timber structures.The here presented studies show that the proposed optimization method provides a good fit of many tiles to rhombi, particularly when the steepness is not too large. We also show that optimizing towards rectangles provides better results. Overall, the results support the initial assumption that irregular rulings could be a means of adapting to both homogeneous and diverse material stocks.

Nanoparticles in Periodontitis Therapy: A Review of the Current Situation.

Periodontitis is a disease of inflammation that affects the tissues supporting the periodontium. It is triggered by an immunological reaction of the gums to plaque, which leads to the destruction of periodontal attachment structures. Periodontitis is one of the most commonly recognized dental disorders in the world and a major factor in the loss of adult teeth. Scaling and root planing remain crucial for managing patients with persistent periodontitis. Nevertheless, exclusive reliance on mechanical interventions like periodontal surgery, extractions, and root planning is insufficient to halt the progression of periodontitis. In response to the problem of bacterial resistance, some researchers are committed to finding alternative therapies to antibiotics. In addition, some scholars focus on finding new materials to provide a powerful microenvironment for periodontal tissue regeneration and promote osteogenic repair. Nanoparticles possess distinct therapeutic qualities, including exceptional antibacterial, anti-inflammatory, and antioxidant properties, immunomodulatory capacities, and the promotion of bone regeneration ability, which made them can be used for the treatment of periodontitis. However, there are many problems that limit the clinical translation of nanoparticles, such as toxic accumulation in cells, poor correlation between in vitro and in vivo, and poor animal-to-human transmissibility. In this paper, we review the present researches on nanoparticles in periodontitis treatment from the perspective of three main categories: inorganic nanoparticles, organic nanoparticles, and nanocomposites (including nanofibers, hydrogels, and membranes). The aim of this review is to provide a comprehensive and recent update on nanoparticles-based therapies for periodontitis. The conclusion section summarizes the opportunities and challenges in the design and clinical translation of nanoparticles for the treatment of periodontitis.

An overview on cubic liquid crystalline nanoparticles-trig lipid drug delivery system

This type of complex structure allows them greater drug loading ability, because of increased surface area and cuboidal structures, they have simple method of preparation and have ability to encapsulate hydrophilic, hydrophobic and amphiphilic substances. Cubosomes increases the solubility of poorly soluble drugs. Cubosomal dispersions are bioadhesive and biocompatible in nature. These are versatile systems, administered by different ways such as oral, perctuneous and parental routes. Cubosomes have broad vast applications in many areas and are characterized by various parameters consequently cubosomes are in move forward of awareness by pharmaceutical development division. Cubosomes, sometimes referred to as bicontinuous cubic phase liquid crystals, are spherical, quadruple nanoparticles with an interior cubic lattice mostly composed of certain amphiphilic lipids in a particular proportion. Cubosomes often arise when a solid-like phase is dispersed into smaller particles after a surfactant or polar lipid is hydrated to form a cubic phase. With distinct qualities of practical interest, they exhibit solid like rheology. They are thermodynamically stable, self-assembling drug delivery devices. Water and lipid bicontinuous domains give cubosomes their carvenous structure. Three-dimensional bilayers are formed by tightly twisted honeycomb arrangements.

First-Principles investigations into electronic, magnetic, elastic, and optical phenomena in SmCrO3: Towards spintronic and magnetic storage applications

Using a thorough DFT analysis, this work investigates the electronic, magnetic, elastic, and optical phenomena in the cubic and orthorhombic phases of SmCrO3. The study explores the distinct qualities of both phases, such as their electronic features, magnetic behaviors, and elastic responses, using the GGA-PBE and mBJ-GGA-PBE methodologies. The study highlights the potential of SmCrO3 cubic and orthorhombic structures in spintronics and magnetic device applications by confirming their half-metallic nature. A deeper understanding of the electronic structure and magnetic stability of the materials results from the intricate interplay of spin effects and thorough investigation of magnetic interactions.

Zeolites and their composites as novel remediation agent for antibiotics: A review

Antibiotic residues in aquatic environments pose significant challenges when exceeding permissible limits. Zeolites, particularly aluminosilicate zeolites, have emerged as effective adsorption materials and solid substrates for semiconductor photocatalysts, facilitating the removal of antibiotics from wastewater. This review highlights the versatility of zeolites and their composites in antibiotic remediation, showcasing recent advancements in adsorption and photocatalytic degradation. Noteworthy examples include Fe (III)-modified synthetic zeolite 13X, exhibiting a maximum tetracycline adsorption capacity of approximately 200 mg/g, and MoS2@Zeolite achieving a remarkable efficiency of 396.70 mg/g for tetracycline removal. Additionally, zeolite-based photocatalysts like Fe-TiO2/BEA zeolite and exceptional CdS/CaFe2O4-clinoptilolite demonstrate high removal percentages, reaching 100% for tetracycline and 86% for cefazolin, respectively. The discussion encompasses an introduction to zeolites, including synthetic and natural zeolites, as well as techniques for modifying natural zeolites. It further delves into the production of synthetic zeolites as well as the fabrication of zeolite-based composite materials. These findings underscore the potential of zeolites and their composites as novel remediation agents for tackling antibiotic contamination in aquatic ecosystems, paving the way for sustainable wastewater treatment strategies. It highlights key elements, distinct qualities, and areas needing further research, paving the way for future studies.

OD-YOLO: Robust Small Object Detection Model in Remote Sensing Image with a Novel Multi-Scale Feature Fusion.

As remote sensing technology has advanced, the use of satellites and similar technologies has become increasingly prevalent in daily life. Now, it plays a crucial role in hydrology, agriculture, and geography. Nevertheless, because of the distinct qualities of remote sensing, including expansive scenes and small, densely packed targets, there are many challenges in detecting remote sensing objects. Those challenges lead to insufficient accuracy in remote sensing object detection. Consequently, developing a new model is essential to enhance the identification capabilities for objects in remote sensing imagery. To solve these constraints, we have designed the OD-YOLO approach that uses multi-scale feature fusion to improve the performance of the YOLOv8n model in small target detection. Firstly, traditional convolutions have poor recognition capabilities for certain geometric shapes. Therefore, in this paper, we introduce the Detection Refinement Module (DRmodule) into the backbone architecture. This module utilizes Deformable Convolutional Networks and the Hybrid Attention Transformer to strengthen the model's capability for feature extraction from geometric shapes and blurred objects effectively. Meanwhile, based on the Feature Pyramid Network of YOLO, at the head of the model framework, this paper enhances the detection capability by introducing a Dynamic Head to strengthen the fusion of different scales features in the feature pyramid. Additionally, to address the issue of detecting small objects in remote sensing images, this paper specifically designs the OIoU loss function to finely describe the difference between the detection box and the true box, further enhancing model performance. Experiments on the VisDrone dataset show that OD-YOLO surpasses the compared models by at least 5.2% in mAP50 and 4.4% in mAP75, and experiments on the Foggy Cityscapes dataset demonstrated that OD-YOLO improved mAP by 6.5%, demonstrating outstanding results in tasks related to remote sensing images and adverse weather object detection. This work not only advances the research in remote sensing image analysis, but also provides effective technical support for the practical deployment of future remote sensing applications.

فضائلُ "سُوْرَة البَقَرَةِ" وخَوَاصُّها في ضوء الأحاديث الصَّحيحة: دراسةٌ تحليليةٌ

Surah Al-Baqarah is regarded as one of the most significant chapters in the Holy Quran because of its rich content, which includes religious rulings on worship, transactions, and beliefs along with sermons and wisdom. It also holds the distinction of being one of the longest chapters in the Holy Quran. Numerous authentic Prophetic traditions highlight the virtues and excellence of this Surah. Furthermore, this Surah possesses several unique attributes, most notably its inclusion of the renowned verse known as "Ayat al-Kursi" considered the greatest verse in the Book of Allah Almighty. Authentic hadith emphasize the exceptional nature of this verse. Another remarkable feature of this Surah is the established merit of its final two verses, as they suffice the reader for their nightly prayers. In this research, the scholar conducts an analytical examination of the hadith related to this Surah. The primary focus lies on authentic hadith that highlight its virtues, accompanied by brief explanations. Furthermore, the study delves into the Surah's distinctive features as illuminated by these hadith and concluded with a concise summary of significant findings. The researcher followed an inductive and analytical approach in this study. The first approach was utilized to compile the authentic hadith pertaining to the excellence of this Surah while the second approach was used to analyse the texts of these hadith and elucidate its distinct qualities.

Recent advances and research progress on the role of carbon‐based biomass in ultra‐capacitors: A systematic review

AbstractBiomass‐derived carbon material has drawn significant attention recently due to its wide availability, environmentally free, and effective performance of the resulting porous carbons for supercapacitor (SC) applications. Carbon electrode material derived from biomass is used for energy storage (ES) because it has distinct qualities in porosity, a large specific surface area, and excellent conductivity. Furthermore, these materials' homogeneous, flawless biological structures can be used as models to create electrode materials with accurate geometries. The ES devices, known as SCs, also known as ultra‐capacitors, serve as a link between a capacitor and a battery. Due to their charge storage, SCs can produce a much higher density than batteries. Several factors, including the electrode's potential window, the electrode materials characteristics, and the electrolyte choice, have a major effect on SC performance. Therefore, all efforts have been made to develop SC electrode materials. This paper explains the different types of SCs and how they work. The various available biomass resources, as well as the methods for producing them, are outlined. In addition, the different types of electrode materials, activation methods, heteroatom functionalization, and electrolyte types are all thoroughly examined. The application and research advancement of biomass‐derived carbon used in SCs over the past 3 years are highlighted. Furthermore, this research outlines the benefits of SCs for the environment and the economy, as well as present challenges and future recommendations for advancing biomass‐derived carbon applications. This article aims to give an in‐depth knowledge of carbon‐based biomass materials that are used in SCs.

Comparative Study of Online and Face to Face Instructions

The study highlights several key findings regarding the differences in students' perceptions between face-to-face (F2F) and online learning methods, using course experience questionnaires (CEQ) and online course experience questionnaires (OCEQ). Here's a breakdown of the findings and implications: The study found significant differences in several factors between F2F and online learning methods. These include the total score of the questionnaire, the factor of good teaching (GT), the factor of clear goals (CG), and the factor of appropriate assessment (AA). These differences indicate that students perceive distinct qualities and effectiveness in these aspects depending on the learning method. The lack of social interaction in online learning compared to F2F settings is suggested as a potential reason for these differences. According to constructionist theory, social interaction plays a crucial role in learning, potentially explaining why students rate factors like good teaching, clear goals, and appropriate assessment differently in online contexts. Interestingly, the study found that the factor of emphasis on independence did not show significant differences between F2F and online learning methods. This contrasts with previous research findings, which might be due to the increasing flexibility and adaptability of blended learning approaches where both F2F and online components are integrated. In summary, while online learning has become a prominent alternative due to the pandemic, this study underscores the importance of understanding and addressing the differences in students' perceptions and experiences between online and face-to-face learning environments.

The island, the prison, and the colony: Sardinian carceral and colonial geographies

AbstractAcross research on incarceration and insularity, recent trajectories have challenged conventional understandings of islands and prisons as isolated, autonomous units. Instead, they have directed attention toward their capacity to establish relations, circuits and routes. Beyond the focus on mobility and exchanges, this literature criticised the association between insularity, incarceration and confinement as the outcome of specific colonial epistemologies. This article builds on these literatures to investigate the case of Sardinia, a large Mediterranean island that plays a key role in the Italian carceral regime by providing a destination for thousands of Italian convicts. Despite being an Italian and European region, Sardinia's past and present exhibit distinct colonial qualities, which are visible in the structure of its carceral estate. The case study exemplifies how islands can hardly be interpreted as isolated units, given that their histories and geographies have implications that extend far beyond their coasts. In the case of Sardinia, the island combines modern penitentiaries with dynamics reminiscent of previous periods in the history of punishment, specifically penal colonies and convict transportation. This case study illustrates the benefits of an interdisciplinary approach that is willing to question the conceptual categories adopted, particularly those of island, prison and colony.

Effects of mobile music listening: Patterns of changes in focus of attention, environmental perception, and self-experience

In this study, we examined how mobile music listening can change one’s perception of the environment. Using a mixed-methods approach, we subjected the written statements of 112 individuals to content analysis and association rule mining to identify categorical relationships. Findings revealed two distinct qualities of perception that are related to relevant factors: (1) Altered attentional focus is predominantly characterized by an intentional shift of attention, usually to exclude the external world from perception. Here, we found associations with situational context and affect regulation. (2) Altered perception and experience of the self are characterized by the inclusion and modification of the environment, or by an altered sense of oneself. They are related to musical attributes, affect regulation, situational context, and behavioral change. We also found an association between the two qualities of perception. Based on the patterns identified, we were able to determine temporal relationships between the effects of mobile music listening. For example, participants often reported that they consciously used music to improve or enhance their mood. On the one hand, they achieve this by focusing their attention on the music and thus blocking out the outside world. On the other hand, mood enhancement through music may lead to a more positive experience of the environment and behavioral consequences. We summarize our findings in a model showing patterns of changes in perception with regard to antecedents and consequences. This model exemplifies the plurality of mobile listening strategies and their psychological effects, advancing our understanding of the multifaceted nature of mobile music listening.

Metagenomic and flavoromic profiling reveals the correlation between the microorganisms and volatile flavor compounds in Monascus-fermented cheese

The Monascus-fermented cheese (MC) is a unique cheese product that undergoes multi-strain fermentation, imparting it with distinct flavor qualities. To clarify the role of microorganisms in the formation of flavor in MC, this study employed SPME (arrow)-GC–MS, GC-O integrated with PLS-DA to investigate variations in cheese flavors represented by volatile flavor compounds across 90-day ripening periods. Metagenomic datasets were utilized to identify taxonomic and functional changes in the microorganisms. The results showed a total of 26 characteristic flavor compounds in MC at different ripening periods (VIP＞1, p < 0.05), including butanoic acid, hexanoic acid, butanoic acid ethyl ester, hexanoic acid butyl ester, 2-heptanone and 2-octanone. According to NR database annotation, the genera Monascus, Lactococcus, Aspergillus, Lactiplantibacillus, Staphylococcus, Flavobacterium, Bacillus, Clostridium, Meyerozyma, and Enterobacter were closely associated with flavor formation in MC. Ester compounds were linked to Monascus, Meyerozyma, Staphylococcus, Lactiplantibacillus, and Bacillus. Acid compounds were linked to Lactococcus, Lactobacillus, Staphylococcus, and Bacillus. The production of methyl ketones was closely related to the genera Monascus, Staphylococcus, Lactiplantibacillus, Lactococcus, Bacillus, and Flavobacterium. This study offers insights into the microorganisms of MC and its contribution to flavor development, thereby enriching our understanding of this fascinating dairy product.

Nanotechnology in Orthodontics: Unveiling Pain Mechanisms, Innovations, and Future Prospects of Nanomaterials in Drug Delivery.

Orthodontic pain is characterized by sensations of tingling, tooth discomfort, and intolerance. According to the oral health report, over forty percent of children and adolescents have undergone orthodontic treatment. The efficacy of orthodontic treatment involving braces can be compromised by the diverse levels of discomfort and suffering experienced by patients, leading to suboptimal treatment outcomes and reduced patient adherence. Nanotechnology has entered all areas of science and technology. This review provides an overview of nanoscience, its application in orthodontics, the underlying processes of orthodontic pain, effective treatment options, and a summary of recent research in Nano-dentistry. The uses of this technology in healthcare span a wide range, including enhanced diagnostics, biosensors, and targeted drug delivery. The reason for this is that nanomaterials possess distinct qualities that depend on their size, which can greatly enhance human well-being and contribute to better health when effectively utilized. The field of dentistry has also experienced significant advancements, particularly in the past decade, especially in the utilization of nanomaterials and technology. Over time, there has been an increase in the availability of dental nanomaterials, and a diverse array of these materials have been extensively studied for both commercial and therapeutic purposes.

Reusing drainage water for leaching of saline and sodic soils in the Khuzestan province, Iran

ABSTRACT This study investigates the feasibility of utilizing drainage water for reclamation of saline and sodic soils in the Dosalagh plain of Khuzestan province, Iran. With significant drainage water generated in the region's irrigation networks, repurposing it for soil reclamation emerges is a low-risk strategy. Leaching, a practical technique for soil desalination, was examined using the double ring method at depths up to 150 cm. Four water qualities (electrical conductivities of 2.12, 7, 25 and 40 dS m−1) and depths (0, 25, 50 and 75 cm) were tested, with intermittent leaching over three cycles. Results indicate a substantial reduction in electrical conductivity (117.7 to 29 dS m−1) and sodium content (1415.9 to 39.83 mEq L−1) at the 0-25 cm depth with drainage water incorporation. The study highlights the beneficial impact on soil quality, emphasizing decreased sodium content, sodium adsorption ratio, and electrical conductivity. Overall, reusing drainage water proves advantageous for soils with high salinity levels, showcasing its potential for sustainable soil management in saline regions. This research underscores the importance of effective drainage water management for soil reclamation and agricultural sustainability in arid regions like Khuzestan province.