Cutting-edge Concept Research Articles

Heat transfer performance of MHD [Ag+Gr+GO/H2O]t ternary nanofluid squeezing flow between two parallel plates in a porous medium with variable viscosity and brownian motion

A novel notion in the realm of research is that ternary nanofluid presents itself as a cutting-edge concept showcasing enhanced heat transfer capabilities when pitted against hybrid nanofluids as well as traditional nanofluids. These ternary nanofluids are employed for boosting thermal conductivity in cooling systems, thereby enhancing energy efficiency in electronics and industrial operations. This research aims to investigate the dynamic viscosity variations within a three-component nanofluid comprising Ag, Gr, and GO nanoparticles suspended in water enclosed between dual parallel plates with entropy generation. The examination encompasses the impact of viscous dissipation, thermophoresis, and Brownian motion occurrences within the energy equation, along with considering chemical reactions in the concentration equation. Techniques of similarity are utilized to transform the complex nonlinear partial differential equations into a collection of ordinary differential equations. The necessary equations that arise are attempted through the utilization of the Runge–Kutta-Fehlberg technique in combination with a shooting method. The research examines graphs and tables to study the effects of new factors on velocity, temperature, concentration, and engineering measures. The outcome of the finding shows that the magnetic field and suction cause a greater decrease in [Ag/H2O]n nanofluid velocity, while an increased squeezing limit elevates [Ag+Gr+GO/H2O]t ternary nanofluid velocity. Increasing thermophoresis and Brownian motion enhance temperature in ternary nanofluid, but [Ag/H2O]n nanofluid concentration diminishes with chemical reaction. Entropy production intensifies in ternary nanofluids due to higher radiation and Brinkman numbers. The magnetic field increases the skin friction of ternary nanofluids by 3.4% at both plates but it decreases by 4.12 more in nanofluids because of alterations in the viscosity factor. Heat transfer decreases by 3.05% at the lower plate but increases by 6.01% at the upper plate in ternary nanofluids due to heat production and thermophoresis. An increase of 3.95% in mass transfer rate is observed in the ternary nanofluid at the lower plate but a decrease of 2.06% is noted at the upper plate due to thermophoresis and Brownian motion. The discoveries illuminate the possibilities of ternary nanofluids to boost thermal conductivity and maximize energy efficiency across a range of industrial applications.

IMPLEMENTATION ON AIR-WRITING RECOGNITION SYSTEM

Air writing is a new and innovative technology that allows users to interact with digital devices and manipulate the air by writing or drawing, eliminating the need for all physical contact. This article provides a comprehensive study of the current state of research and development in the field of climate documentation. In this cutting-edge concept, we delve into its history, the motivations that drove its development, and the fundamentals of the technology. We also explore the main tools and equipment required to use the aerial recorder and discuss various applications, such as virtual reality, to improve access for people with disabilities. However, despite its potential, the adoption of writing is not without its challenges and limitations, which we examine in detail. This survey provides a comprehensive review of the latest techniques, algorithms and machine learning techniques used in weather forecasting and provides insight into the methods used to measure performance. We also consider the key elements of user experience and interaction design that are important to the success of these systems. As we look to the future, we identify possible research and development paths that take into account new technologies and changes that will change the country. Overall, this research demonstrates the importance of cloud typing in the field of human-computer interaction and its potential to usher in a new era of contactless, gesture-based interfaces that revolutionize the way we interact with digital technology. " Key Words: Air-Writing, gesture-recognition, CNN, image preprocessingoptics, photonics, light, lasers, templates, journals

Neuropunk revolution in short

The ‘neuropunk revolution’ represents an innovative approach focused on the integration of human–machine interfaces through nerve and neural pathways. This cutting-edge concept seeks to push the boundaries of human–machine interaction by exploring the intricate connections between the human nervous system and artificial technologies. Neuropunk delves into the realm of cyborg technologies, blurring the lines between humans and machines and opening up new possibilities for augmenting human capabilities. By tapping into nerve and neural pathways, neuropunk envisions a future where individuals can seamlessly interface with technology, leading to enhanced sensory perception, cognitive abilities, and physical performance. This concept encapsulates a rebellious and unconventional spirit, challenging traditional notions of the human body and its relationship with technology. This paper discusses the challenges and potential of neuropunk, exploring the fusion of scientific exploration, technological innovation, and a punk-inspired ethos in advancing human–machine integration. It highlights the emergence of real-time neurosimulations and neuromorphic computing as key tools to achieve these aspirations. Additionally, the integration of neurological and hormonal bioinspiration is examined as a promising approach to the design of neural interfaces, fostering more efficient and effective technologies that align better with the human body. Finally, the paper addresses ethical considerations and research tasks to responsibly navigate the neuropunk revolution, ensuring a future that maximizes the benefits of neural interfaces while mitigating potential risks and promoting ethical principles.

VR Intelligent Technology in Public Art for Healing Research

With the process of urban technology, artificial intelligence technology has brought new thinking and opportunities to all walks of life. VR intelligent design in urban public art construction and design has been transformed from a cutting-edge concept into an applied technology. Since the 1970s and 1980s, the emergence of sound and light interactive public art in the United States has opened the curtain of virtual reality technology in early urban public art. VR intelligent design has changed all aspects of people's lives, and digital interaction has provided more possibilities for art. This paper conducts research on the healing of VR smart technology placed in public art through qualitative data of existing cases. Through VR works such as "Room in the Sand" created by Xinjian Huang in collaboration with Laurie Anderson, VR smart technology placed in public art works are qualitatively studied to explore the digital interaction provides more possibilities for art, public art and all people, especially the elderly and the disabled. The interaction of public art with all people, especially the elderly and the disabled, and the help of art healing in more and more states.

Microbial characterization based on multifractal analysis of metagenomes.

The species diversity of microbiomes is a cutting-edge concept in metagenomic research. In this study, we propose a multifractal analysis for metagenomic research. Firstly, we visualized the chaotic game representation (CGR) of simulated metagenomes and real metagenomes. We find that metagenomes are visualized with self-similarity. Then we defined and calculated the multifractal dimension for the visualized plot of simulated and real metagenomes, respectively. By analyzing the Pearson correlation coefficients between the multifractal dimension and the traditional species diversity index, we obtain that the correlation coefficients between the multifractal dimension and the species richness index and Shannon diversity index reached the maximum value when q = 0, 1, and the correlation coefficient between the multifractal dimension and the Simpson diversity index reached the maximum value when q = 5. Finally, we apply our method to real metagenomes of the gut microbiota of 100 infants who are newborn and 4 and 12 months old. The results show that the multifractal dimensions of an infant's gut microbiomes can distinguish age differences. There is self-similarity among the CGRs of WGS of metagenomes, and the multifractal spectrum is an important characteristic for metagenomes. The traditional diversity indicators can be unified under the framework of multifractal analysis. These results coincided with similar results in macrobial ecology. The multifractal spectrum of infants' gut microbiomes are related to the development of the infants.

Comparative Paper on Emergency Medical Services using IoT

Physical things can be connected to the Internet thanks to the Internet of Things (IoT). Different sensors, medical equipment, artificial intelligence, diagnosis and treatment, and cutting-edge imaging technologies are at the heart of IoT's application in the medical sector. Earnings per share must be able to deliver care swiftly and precisely in order to lower mortality and disability. This could improve the efficiency and quickness of emergency services. The Internet of Things (IoT) in healthcare enables medical personnel to remotely monitor patients by employing big data analytics to look at sensor output. Smart ambulances are important connected devices in EMS. IoT is a cutting-edge concept that delivers the greatest care and performs precision surgery for COVID- 19 pa-disease patients. The GPS on the phone is used by the mobile application to follow a user and to send out SOS alerts. While a tracking session is active, the GPS tracking gadget records the path tresses using a GSM SIM card. Numerous sensors can be incorporated onto wearable IDs to send notifications about any medical condition directly to a smartphone application.

基于自然的碳达峰、碳中和解决方案:关键议题

PDF HTML阅读 XML下载 导出引用 引用提醒 基于自然的碳达峰、碳中和解决方案:关键议题 DOI: 10.5846/stxb202204281179 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 宁夏回族自治区重点研发计划项目(2021BEG03019) Nature-based solutions for carbon peaking and carbon neutrality goals: Key issues Author: Affiliation: Fund Project: Key Research and Development Program of Ningxia (CN)(2021BEG03019) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:实现碳达峰、碳中和是我国生态文明建设的重点战略方向。按照"目标设计-要素布局-方案实施"的基本逻辑,可以对碳达峰、碳中和的工作要点进行系统梳理。基于自然的解决方案(Nature-based Solutions, NbS)是国际社会普遍认可的生态恢复前沿理念,具备可持续性、系统性、尺度性、适应性四方面核心特质,能够有效回应"双碳"目标的工作要求。碳达峰、碳中和与NbS在目标导向和实践思路上高度契合,二者均以可持续发展为主要目标,NbS八项实施准则亦能够为"双碳"工作的积极推进提供全面系统的行动框架。结合NbS实施准则,具体提出基于自然的碳达峰、碳中和八大关键议题:(1)统筹减污降碳协同增效的政策体系;(2)强化尺度级联的传导机制;(3)构建基于自然的固碳途径;(4)完善多元化的碳汇交易;(5)兼顾社会公平的参与机制;(6)促进基于权衡的路径选择;(7)创新动态连续的监测手段;(8)推动NbS在"双碳"领域主流化,以期支撑国家碳达峰、碳中和可持续解决方案的落实。 Abstract:Goals of peak carbon dioxide emissions and carbon neutrality are the key strategic direction for construction of an ecological civilization. Based on the principle of "goals setting, system element layout, and solution strategies implementation", this paper summarized the key points to achieve peak carbon dioxide emissions and carbon neutrality goals. As a cutting-edge concept, Nature-based Solutions (NbS) has been widely recognized by the international community. The core characteristics of sustainability, systematization, scale and adaptability of NbS can effectively promote the achievement of peak carbon dioxide emissions and carbon neutrality goals. As both taking sustainable development as the main goal, NbS is highly compatible with the goals of peak carbon dioxide emissions and carbon neutrality in goal orientation and thinking of practice. Furthermore the eight criteria of NbS can also provide a comprehensive and systematic framework for the active promotion of the goals of peak carbon dioxide emissions and carbon neutrality. Combined with the NbS criteria, eight issues are specifically proposed: (1) coordinating policy system for synergy of pollution reduction and carbon reduction; (2) strengthening the mechanism of information transmission in different scales; (3) building a nature-based pathway to carbon sequestration; (4) improving diversified carbon sink trading; (5) formulating participation rules that take into account social equity; (6) promoting path selection based on trade-offs; (7) innovating dynamic and long-term monitoring methods; and (8) promoting the mainstreaming of NbS in field of peak carbon dioxide emissions and carbon neutrality. 参考文献 相似文献 引证文献

Artificial Intelligence in Biological Sciences.

Artificial intelligence (AI), currently a cutting-edge concept, has the potential to improve the quality of life of human beings. The fields of AI and biological research are becoming more intertwined, and methods for extracting and applying the information stored in live organisms are constantly being refined. As the field of AI matures with more trained algorithms, the potential of its application in epidemiology, the study of host–pathogen interactions and drug designing widens. AI is now being applied in several fields of drug discovery, customized medicine, gene editing, radiography, image processing and medication management. More precise diagnosis and cost-effective treatment will be possible in the near future due to the application of AI-based technologies. In the field of agriculture, farmers have reduced waste, increased output and decreased the amount of time it takes to bring their goods to market due to the application of advanced AI-based approaches. Moreover, with the use of AI through machine learning (ML) and deep-learning-based smart programs, one can modify the metabolic pathways of living systems to obtain the best possible outputs with the minimal inputs. Such efforts can improve the industrial strains of microbial species to maximize the yield in the bio-based industrial setup. This article summarizes the potentials of AI and their application to several fields of biology, such as medicine, agriculture, and bio-based industry.

A Scoping Review of Information-Modeling Development in Bridge Management Systems

Transportation assets represent a critical element of public infrastructures, and bridge networks are an essential part of these assets. A system that includes several tools for managing the bridges is called a bridge management system (BMS). BMSs are built up to provide long-term health verification for bridges and assure safe serviceability. With the advent of powerful computers in the mid-1980s, BMSs became more electronic and, consequently, capable of processing more data than a paper system. Building information modeling (BIM) is an emerging technology with commanding visualization and informatization ability, making it a perfect tool for generating modern management systems. Bridge information modeling (BrIM) is a developed concept extracted from BIM that concentrates on bridges. In this paper, the use of BrIM in the development of bridge management systems during the recent decade is verified through a scoping review of the state-of-the-art literature. The broad nature of the scoping review provides chances for rapidly reviewing evidence in emerging topics and analyzing knowledge gaps; it is used to capture the cutting-edge concept of information modeling in the body of literature. In this study, search resulted in a final refined list of 78 journal articles published in the recent decade, categorized into six different topic areas. This paper aims to verify different aspects of using information modeling in bridge management and identify the knowledge gaps, limitations, and emergent works for industrial and academic investigators. Descriptive and content analyses are presented to clarify the researchers’ focal points in this review, which shows trending keywords, leading journals, and articles’ frequency in each field. This study indicates that the concentration of BrIM researchers is on new inspection and test methods and maintenance optimization with a particular focus on concrete structures.

Ageing in Place Over Time: The Making and Unmaking of Home

‘Ageing in place’ is a key component of UK policy, aimed at supporting older people to remain living in their own homes and communities for as long as possible. Although wide-ranging, the scholarly literature in this field has not sufficiently examined the interconnections between ageing in place and the changing experience of ‘home’ over time. This article addresses this gap in a novel way by bringing together qualitative secondary analysis of longitudinal data with critical literature on ‘home’ and Mason’s cutting-edge concept of ‘affinities’ to understand the multi-dimensionality of home in relation to ageing in place. The article makes significant methodological, empirical, and theoretical contributions to the field of scholarship on home, by demonstrating how homes are made and unmade over time. Discussions of home emerged organically in the longitudinal data that focused on people’s travel and transport use, allowing our qualitative secondary analysis approach to look anew at how experiences of home are dynamically shaped by people’s potent connections inside and outside the dwelling. Presenting an empirical analysis of four case studies, the article suggests that future discussions in the field of ageing in place should pay closer attention to the factors that shape experiences of the un/making of home over time, such as how deteriorating physical and mental health can shape how people experience their dwelling and neighbourhood as well as their relationships across these settings.

Solid-State Nanochannel-Based Sensing Systems: Development, Challenges, and Opportunities

Solid-state nanochannel-based sensing systems with various structures and morphologies have realized precise measurements for various key biomarkers due to their tunable physical structures and morphologies, controllable chemical properties, and a nanoconfined space-induced target enriching effect. In the past several decades, series of solid-state nanochannel-based sensing systems mainly focused on modifying functional elements on nanochannels have allowed for a highly sensitive and specific detection of various key biomarkers between 0.1 and 100 nm, including small molecules, nucleic acids, and proteins. However, traditional solid-state nanochannel-based sensing systems have mainly focused on the functional element modified on their inner-walls (FEIW), ignoring the ion-gating effect of functional elements modified on the outer surface (FEOS). Therefore, the direct detection of targets with sizes larger than the diameters of nanochannels, i.e., cells, was hard to realize. Recently, research has turned its attention to nanochannels with FEOS, which extends the range of measurable biomarkers to cells (50 μm) and promotes precise measurements. In this Perspective, we mainly focus on exhibiting the great breakthroughs of solid-state nanochannels with distinct partitions of the inner wall (IW) and outer surface (OS). Meanwhile, the cutting-edge concept of nanochannels with quantum confined superfluid (QSF) is also discussed. A possible explanation for the ultrafast flow of liquids and gases through nanopores based on wave-particle duality was also provided. The quantum effect on ultrafast flow would provide new perspectives for nanochannel-based sensing systems for various key biomarkers, which may also promote the development of seawater desalination, energy conversion, and information systems.

Pickering emulsion droplet-based biomimetic microreactors for continuous flow cascade reactions

A continuous flow cascade of multi-step catalytic reactions is a cutting-edge concept to revolutionize stepwise catalytic synthesis yet is still challenging in practical applications. Herein, a method for practical one-pot cascade catalysis is developed by combining Pickering emulsions with continuous flow. Our method involves co-localization of different catalytically active sub-compartments within droplets of a Pickering emulsion yielding cell-like microreactors, which can be packed in a column reactor for continuous flow cascade catalysis. As exemplified by two chemo-enzymatic cascade reactions for the synthesis of chiral cyanohydrins and chiral ester, 5 − 420 fold enhancement in the catalysis efficiency and as high as 99% enantioselectivity were obtained even over a period of 80 − 240 h. The compartmentalization effect and enriching-reactant properties arising from the biomimetic microreactor are theoretically and experimentally identified as the key factors for boosting the catalysis efficiency and for regulating the kinetics of cascade catalysis.

AN EXPLORATORY REVIEW OF CURRENT TRENDS IN NANODENTISTRY

Nanotechnology is a cutting-edge concept that is evolving manifolds in various fields of science and medicine and is by no means exceptional to dentistry. Nanotechnology is popularly known as the ‘science of the small’ that deals with particles of size 1-10nm. Methods like top-down or bottom-up approaches are used in manufacturing nanoparticles and nanorobots, catering to the needs of medical diagnostics and therapeutics. Nanorobotics advances medicine through miniaturization from microelectronics to nanoelectronics. Nanotechnology can be applied to all fields of dentistry such as to create nano implants, nano-drug delivery systems, nanocomposites and nano impression materials. Additionally, it helps in orthodontic tooth movement, alleviating hypersensitivity, and effective anesthesia. This paper highlights the various applications of nanotechnology in dentistry and also mentions the clinical trials performed to have a more focused approach to practicing nanodentistry. Apart from this the paper briefly explains the benefits of integrating artificial intelligence and nanotechnology for creating more personalized treatment options and also its role in Covid 19 vaccines.

Zn/Sr dual ions-collagen co-assembly hydroxyapatite enhances bone regeneration through procedural osteo-immunomodulation and osteogenesis

The immune microenvironment induced by biomaterials played vital roles in bone regeneration. Hydroxyapatite (HA) and its ion-substituted derivates represent a large class of core inorganic materials for bone tissue engineering. Although ion substitution was proved to be a potent way to grant HA more biological functions, few studies focused on the immunomodulatory properties of ion-doped HA. Herein, to explore the potential osteoimmunomodulatory effects of ion-doped HA, zinc and strontium co-assembled into HA through a collagen template biomimetic way (ZnSr-Col-HA) was successfully achieved. It was found that ZnSr-Col-HA could induce a favorable osteo-immune microenvironment by stimulating macrophages. Furthermore, ZnSr-Col-HA demonstrated a procedural promoting effect on osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) in vitro. Specifically, the osteo-immune microenvironment acted as a dominant factor in promoting osteogenic gene expressions at the early stage through OSM signal pathway. Whereas the direct stimulating effects on BMSCs by Zn2+/Sr2+ were more effectively at the later stage with Nfatc1/Maf and Wnt signals activated. In vivo study confirmed strong promoting effects of ZnSr-Col-HA on critical-sized cranial defect repair. The current study indicated that such a combined biomaterial design philosophy of dual ion-doping and biomimetic molecular co-assembly to endow HA applicable osteoimmunomodulatory characteristics might bring up a new cutting-edge concept for bone regeneration study.

Application Research on OVP Blended Teaching Method in Microwave Technology and Antennas

The OVP blended teaching method is an effective teaching method based on the engineering teaching practice and the course system of microwave technology and antenna. In the teaching process, we should emphasize the combination of network, virtualization and project teaching mode, and attach importance to the application of new educational platform and educational resources, especially the diversification and cutting-edge concept of curriculum team, which makes teaching methods diversify and engineering. A number of knowledge points throughout the whole design process, to achieve the effective combination of technical principles and engineering practice. It enables students to really participate in the process of teaching and learning, and help to cultivate their comprehensive abilities of practice and innovation.

Concreteness in General Phonology: Evidence from French by Bernard Tranel

Reviewed by: Concreteness in General Phonology: Evidence from French by Bernard Tranel Amanda Dalola Tranel, Bernard. Concreteness in General Phonology: Evidence from French. UP of California, 2018. ISBN 978-0-52030-398-0. Pp. 338. Tranel's book challenges several widespread theories in French phonology and morphology from within the generative framework. Focusing on the status of nasal vowels, [Ø]~[C] alternations, the status of final schwas and the treatment of h-aspiréinitial words, this research argues methodically against a purely phonological analysis driven by economy and distant underlying and surface forms, in favor of one driven by psychological plausibility which takes into consideration relevant grammatical and lexical information. The text proceeds across three main sections—one focusing each on nasal vowels, final consonants, and protective schwa/h-aspiré words. Within each [End Page 189] section, a repeating structure propels the narrative forward: discussion first underlines the main issues in each phenomenon and summarizes the claims of previous treatments, before offering a critical review—always through the presentation of additional data which introduce complications to previous assumptions—and an alternative account able to reconcile all forms. It is in this way that we are presented with sizeable evidence to support the three groundbreaking ideas of the text: a) nasal vowels have not historically been phonologically derivable from/VN/sequences and should, therefore, be viewed as lexical in nature; b) the postulation of final schwas is unnecessary from a structural standpoint because they have no phonetic reflexes and are not naturally learnable; c) h-aspiré words are most elegantly analyzed by means of rule features, instead of the consideration of syllable boundaries or abstract lexical initial consonants. The text's comprehensive approach will appeal cross-generationally to armchair and lab phonologists alike, while the extensive example sets will delight Francophones, dictation enthusiasts, and everyone in between. The stand-alone nature of the three main parts makes the book easily digestible in chapters or as separate case studies, and the thorough treatment of previous theoretical accounts makes it optimal training ground for undergraduate and graduate students making their first foray into French phonology. Experienced linguists will also appreciate the author's appeal to plausibility based on psychological reality, a cutting-edge concept in theoretical phonology back in the early 1980s, but one that went on to become mainstream in the field in the 1990s and 2000s via the extension of Exemplar Theory. Poised to become/remain required reading for all those with interests in the French language's idiosyncratic and oftentimes complicated sound behavior, this edgy and timeless title more than retains its shine. Amanda Dalola University of South Carolina Copyright © 2020 American Association of Teachers of French

Towards multicaloric effect with ferroelectrics

Utilizing thermal changes in solid-state materials strategically offers caloric-based alternatives to replace current vapor-compression technology. To make full use of multiple forms of the entropy and achieve higher efficiency for designs of cooling devices, the multicaloric effect appears as a cutting-edge concept encouraging researchers to search for multicaloric materials with outstanding caloric properties. Here we report the multicaloric effect in $\mathrm{BaTi}{\mathrm{O}}_{3}$ single crystals driven simultaneously by mechanical and electric fields and described via a thermodynamic phenomenological model. It is found that the multicaloric behavior is mainly dominated by the mechanical field rather than the electric field, since the paraelectric-to-ferroelectric transition is more sensitive to mechanical field than to electric field. The use of uniaxial stress competes favorably with pressure due to its much higher caloric strength and negligible elastic thermal change. It is revealed that multicaloric response can be significantly larger than just the sum of mechanocaloric and electrocaloric effects in temperature regions far above the Curie temperature but cannot exceed this limit near the Curie temperature. Our results also show the advantage of the multicaloric effect over the mechanically mediated electrocaloric effect or electrically mediated mechanocaloric effect. Our findings therefore highlight the importance of ferroelectric materials to develop multicaloric cooling.

Tourists as Mobile Gamers: Gamification for Tourism Marketing

ABSTRACTGaming as a cutting-edge concept has recently been used by some innovative tourism sectors as a marketing tool and as a method of deeper engagement with visitors. This research aims to explore the gamification trend and its potential for experience development and tourism marketing. Using a focus group, this paper discusses gaming and tourism, and explores what drives tourists to play games. The results suggest tourists’ game playing motivation is multidimensional. Players tend to start with purposive information seeking, then move on to an intrinsic stimulation. Socialization is also an important dimension. The research demonstrates several implications for tourism marketing.

ChemInform Abstract: Enantioselective Metal‐Free Hydrogenation Catalyzed by Chiral Frustrated Lewis Pairs

AbstractReview: 12 refs.

Heuristic and genetic approach for nesting of two-dimensional rectangular shaped parts with common cutting edge concept for laser cutting and profile blanking processes

This paper presents a novel two-dimensional nesting strategy suitable for sheet metal industries employing laser cutting and profile blanking processes. The proposed nesting approach is developed by the combination of heuristic and genetic algorithms in order to generate an effective nested pattern, in such a way that, it minimizes the sheet material wastage and also the cutting tool path distance, while arranging a set of rectangular parts in a rectangular sheet. With the proposed bottom–left heuristic method, at first, the parts are considered in a specific sequence and orientation, and each part is translated to the feasible bottom left most position on the previously placed parts and then adjusted to form the common cutting edges with adjacent parts. Further, the heuristic algorithm ensures the formation of clusters, in which a group of parts share the cutting edges, for effective handling of parts while cutting. Finally the optimal and effective nested pattern is generated by the genetic evaluation process which reproduces several sets of nested patterns, before converging to the optimality. The effectiveness of the proposed work, in terms of utilization of sheet material, is demonstrated by comparing the results obtained from the literature. Furthermore the uniqueness of the present approach in enhancing the nested pattern efficiency and minimizing the tool path distance with common cutting edge concept is illustrated.