Hasil untuk "Industry"

Laura J. Bowman

Abstract Statista is a business data platform that gathers existing data from over 22,500 sources and conducts its own research to prepare analyses across industries and geographies.

G. Stigler

The potential uses of public resources and powers to improve the economic status of economic groups (such as industries and occupations) are analyzed to provide a scheme of the demand for regulation. The characteristics of the political process which allow relatively small groups to obtain such regulation is then sketched to provide elements of a theory of supply of regulation. A variety of empirical evidence and illustration is also presented.

G. Habert, Sabbie A. Miller, V. John et al.

K. Lee, C. Lai, Koh Sing Ngai et al.

N. A. Sagar, S. Pareek, Sunil Sharma et al.

Lida Xu, Wu He, Shancang Li

N. Anantrasirichai, D. Bull

This paper reviews the current state of the art in artificial intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks (RNNs) and deep Reinforcement Learning (DRL). We categorize creative applications into five groups, related to how AI technologies are used: (i) content creation, (ii) information analysis, (iii) content enhancement and post production workflows, (iv) information extraction and enhancement, and (v) data compression. We critically examine the successes and limitations of this rapidly advancing technology in each of these areas. We further differentiate between the use of AI as a creative tool and its potential as a creator in its own right. We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity. In contrast, we observe that the successes of ML in domains with fewer constraints, where AI is the ‘creator’, remain modest. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies. We therefore conclude that, in the context of creative industries, maximum benefit from AI will be derived where its focus is human-centric—where it is designed to augment, rather than replace, human creativity.

E. Glaeser, Hédi Kallal, J. Scheinkman et al.

R. Miles, C. C. Snow, A. Meyer et al.

Organizational adaptation is a topic that has received only limited and fragmented theoretical treatment. Any attempt to examine organizational adaptation is difficult, since the process is highly complex and changeable. The proposed theoretical framework deals with alternative ways in which organizations define their product-market domains (strategy) and construct mechanisms (structures and processes) to pursue these strategies. The framework is based on interpretation of existing literature and continuing studies in four industries (college textbook publishing, electronics, food processing, and health care).

C. Fornell

Jenny Devenport, Tobias Mielke, Mouna Akacha et al.

Research and Development is the largest budget position in the pharmaceutical industry, with clinical trials being a critical, yet costly and time-consuming component to inform decisions. Beyond drug efficacy, the probability of success and efficiency of research and development are highly dependent on the approaches used for designing, analyzing, and interpreting clinical trials. Deep understanding of statistical methodology and quantitative approaches is therefore essential. Consequently, dedicated methodology groups have emerged in mid-size and large pharmaceutical companies and CROs. Their remit is to lead the conception and implementation of innovative quantitative methodologies in order to improve drug development, often by addressing complexities or offering more efficient designs. To achieve this, they collaborate internally and externally (e.g., with academics, regulators) to identify common challenges and tear down silos in order to invest in methods with the highest impact on efficiency and value to the portfolio. Given the immense financial stakes of drug development -- where delays carry massive implications -- these groups represent a critical strategic investment. However, to realize this business impact, statistical innovations must be rigorously validated and seamlessly integrated. This manuscript explores the setup, remit, and value of dedicated methodology groups, alongside the critical organizational considerations and success factors required to maximize their impact on the speed, efficiency, and probability of success.

Eduardo Ponce, William Quitiaquez, Patricio Quitiaquez et al.

This study evaluates the mechanical and thermal properties of bricks made from polylactic acid (PLA) and recycled polyethylene terephthalate (rPET). A filament-based 3D printer was used with process parameters specific to PLA, while rPET—also known as recycled plastic—was obtained by grinding and compacting products. Brick samples of various dimensions were manufactured to conduct flexural, compressive, and tensile tests. Several samples were used for each test. On the other hand, a thermal conductivity analysis was performed to determine the internal temperature of dwellings, such as a house or a building. Thermal conductivity influences energy efficiency and the thermal comfort of occupants. The macrostructures observed in the NIKON microscope were examined, where the direction of the fibers and their compaction, which significantly influences thermal conductivity, can be seen. A 53.4% reduction in thermal conductivity was determined for the PLA brick compared to the commercial brick, while the rPET brick showed a 6.4% decrease. The evaluation of the tests carried out on the universal testing machine indicates that the brick made from rPET exhibits a higher maximum load and stress compared to the brick made from PLA in all tests. These results suggest that both the manufacturing process and the composition of the material have a significant impact on the mechanical and thermal properties of plastic bricks. In the flexural test, the recycled plastic brick withstood a maximum stress of 16 MPa and a maximum load of 5784 N. Similarly, in the compression test, the recycled plastic brick withstood a maximum load of 9471 N and a maximum stress of 5.83 MPa. During the tensile test, the rPET brick demonstrated a maximum load of 9203.92 N and a maximum stress of 5.64 MPa. These results show that bricks made from recycled plastic have better mechanical properties compared to polylactic acid bricks in the tests carried out and can therefore be considered for use in the construction industry.

Lu Xia, Kaiqi Zhao, Sunil Kadam et al.

Paired electrolysis at industrial current densities offers an energy-efficient and sustainable alternative to thermocatalytic chemical synthesis by leveraging anodic and cathodic valorization. However, its industrial feasibility remains constrained by system integration, including reactor assembly, asymmetric electron transfer kinetics, membrane selection, mass transport limitations, and techno-economic bottlenecks. Addressing these challenges requires an engineering-driven approach that integrates reactor architecture, electrode-electrolyte interactions, reaction pairing, and process optimization. Here, we discuss scale-specific electrochemical reactor assembly strategies, transitioning from half-cell research to full-scale stack validation. We develop reaction pairing frameworks that align electrocatalyst design with electrochemical kinetics, enhancing efficiency and selectivity under industrial operating conditions. We also establish application-dependent key performance indicators (KPIs) and benchmark propylene oxidation coupled with hydrogen evolution reaction (HER) or oxygen reduction reaction (ORR) against existing industrial routes to evaluate process viability. Finally, we propose hybrid integration models that embed paired electrolysis into existing industrial workflows, overcoming adoption barriers.

E. P. van Geest, B. Can, M. Makurat et al.

For commercial grade electronic devices, stable structures are required to ensure a long device life span. When such devices contain nanomaterials like graphene, it is crucial that these materials resist industrial processes and harsh environments. For environments that contain water, graphene delamination is a notorious drawback, as water intercalation and eventually liftoff readily occur in aqueous and especially in alkaline solutions. This limitation renders graphene incompatible with key wafer-processing steps in the semiconductor industry. In this work, a covalent pyrene-based adhesion layer is synthesized in a facile, two-step procedure. Through π-π interactions, the adhesion of graphene to silicon wafers was maintained under conditions that resemble harsh processes, i.e. acidic and alkaline solutions, several organic solvents, and sonication. Moreover, they could be produced with a device measurement yield up to 99.7% and reproducible device-to-device electronic performance on 4-inch silicon wafers. Our results show that a straightforward functionalization of silicon wafers with an adhesive layer can be directly applicable in industrial-scale fabrication processes, giving access to robust graphene field effect devices that are built to last long.

Leila Ismail, Abdelmoneim Abdelmoti, Arkaprabha Basu et al.

With the increasing complexity of industrial systems, there is a pressing need for predictive maintenance to avoid costly downtime and disastrous outcomes that could be life-threatening in certain domains. With the growing popularity of the Internet of Things, Artificial Intelligence, machine learning, and real-time big data analytics, there is a unique opportunity for efficient predictive maintenance to forecast equipment failures for real-time intervention and optimize maintenance actions, as traditional reactive and preventive maintenance practices are often inadequate to meet the requirements for the industry to provide quality-of-services of operations. Central to this evolution is digital twin technology, an adaptive virtual replica that continuously monitors and integrates sensor data to simulate and improve asset performance. Despite remarkable progress in digital twin implementations, such as considering DT in predictive maintenance for industrial engineering. This paper aims to address this void. We perform a retrospective analysis of the temporal evolution of the digital twin in predictive maintenance for industrial engineering to capture the applications, middleware, and technological requirements that led to the development of the digital twin from its inception to the AI-enabled digital twin and its self-learning models. We provide a layered architecture of the digital twin technology, as well as a taxonomy of the technology-enabled industrial engineering applications systems, middleware, and the used Artificial Intelligence algorithms. We provide insights into these systems for the realization of a trustworthy and efficient smart digital-twin industrial engineering ecosystem. We discuss future research directions in digital twin for predictive maintenance in industrial engineering.

Julia Stoyanovich, Rodrigo Kreis de Paula, Armanda Lewis et al.

Responsible AI (RAI) encompasses the science and practice of ensuring that AI design, development, and use are socially sustainable -- maximizing the benefits of technology while mitigating its risks. Industry practitioners play a crucial role in achieving the objectives of RAI, yet there is a persistent a shortage of consolidated educational resources and effective methods for teaching RAI to practitioners. In this paper, we present a stakeholder-first educational approach using interactive case studies to foster organizational and practitioner-level engagement and enhance learning about RAI. We detail our partnership with Meta, a global technology company, to co-develop and deliver RAI workshops to a diverse company audience. Assessment results show that participants found the workshops engaging and reported an improved understanding of RAI principles, along with increased motivation to apply them in their work.

Lolitta Ammann, Jorge Martinez-Gil, Michael Mayr et al.

Industrial processes generate vast amounts of time series data, yet extracting meaningful relationships and insights remains challenging. This paper introduces a framework for automated knowledge graph learning from time series data, specifically tailored for industrial applications. Our framework addresses the complexities inherent in industrial datasets, transforming them into knowledge graphs that improve decision-making, process optimization, and knowledge discovery. Additionally, it employs Granger causality to identify key attributes that can inform the design of predictive models. To illustrate the practical utility of our approach, we also present a motivating use case demonstrating the benefits of our framework in a real-world industrial scenario. Further, we demonstrate how the automated conversion of time series data into knowledge graphs can identify causal influences or dependencies between important process parameters.

Ankita Sinha, Wendi Cui, Kamalika Das et al.

Large language models (LLMs) have demonstrated remarkable capabilities; however, the optimization of their prompts has historically prioritized performance metrics at the expense of crucial safety and security considerations. To overcome this shortcoming, we introduce "Survival of the Safest" (SoS), an innovative multi-objective prompt optimization framework that enhances both performance and security in LLMs simultaneously. SoS utilizes an interleaved multi-objective evolution strategy, integrating semantic, feedback, and crossover mutations to effectively traverse the prompt landscape. Differing from the computationally demanding Pareto front methods, SoS provides a scalable solution that expedites optimization in complex, high-dimensional discrete search spaces while keeping computational demands low. Our approach accommodates flexible weighting of objectives and generates a pool of optimized candidates, empowering users to select prompts that optimally meet their specific performance and security needs. Experimental evaluations across diverse benchmark datasets affirm SoS's efficacy in delivering high performance and notably enhancing safety and security compared to single-objective methods. This advancement marks a significant stride towards the deployment of LLM systems that are both high-performing and secure across varied industrial applications

Zubair Amir Nur Rashid, Nur Mardia Mazri

Consumer jurisprudence is a branch of the broad jurisprudential debate covering the utilization and use of all natural resources and their contents. Traditional Chinese Medicine as an alternative medicine uses natural resources as a source of medicine. The Mantidis Ootheca in Traditional Chinese Medicine is a substance that comes out through a special accessory gland on the abdomen of the mantis mother and then produces a foamy and hardened structure like polystyrene. It is believed to have various benefits including treating cloudy urine, kidney health, helping in treating Benign Prostatic Hyperplasia (BPH) and others. However, there is an issue involving the status of the Mantidis Ootheca from the perspective of Islamic law since the egg case is produced from the liquid that comes out through the mantis stomach. The focus of this paper was to clarify the Islamic legislation regarding the use of Mantidis Ootheca in the manufacture of pharmaceutical products from the standpoint of the consumer jurisprudence discussion. The researcher utilized a qualitative method by referring to books of fiqh and usul fiqh to find out the law of using Mantidis Ootheca in products and the liquid flowing from its stomach in medicine. This study emphasize on analyzing the application of rukhsah and istihalah in medicine in unraveling the problem of treatment using Mantidis Ootheca. Standards from halal authorities such as the Department Standards of Malaysia are also reviewed for pharmaceutical manufacturing rules including the requirement of safety assessment. Meanwhile, the researcher also consulted scientific studies to know the benefits, uses and side effects of Mantidis Ootheca in the medical field. According to the study's findings, the use Mantidis Ootheca in medicine is not halal since they are tainted with impurities (najāsah). The egg case that come from mantis are considered disgusting, according to scholars, and should not be eaten. Still, its use in pharmaceuticals needs to be evaluated from the perspective of medical jurisprudence by looking at its level of need in the field. Until now, its use is not reached to an emergency demand as there are still alternative treatments for the related diseases. Frequently it has been consumed as a health supplement rather than the primary component in medications. It also does not meet the safety standards determined by the jurists and according to the MS 2424: 2019 ruling based on current research showing that there is no comprehensive report on toxicity aspects and adverse side effects to users. The study of the pharmaceutical industry should continue to be pioneered by Muslims to ensure the use of halal ingredients in medicine.   Abstrak Fiqh kepenggunaan merupakan suatu cabang daripada perbahasan ilmu fiqh yang luas meliputi pemanfaatan dan penggunaan segala sumber alam dan seisinya. Perubatan Tradisional Cina sebagai suatu perubatan alternatif banyak mengambil sumber alam semula jadi sebagai sumber perubatan. Sarung telur mentadak atau Mantidis Ootheca dalam Perubatan Tradisional Cina ialah suatu bahan yang keluar melalui kelenjar aksesori khas pada perut ibu mantis seterusnya menghasilkan sebuah struktur berbuih dan mengeras seperti polisterin. Ianya dipercayai mempunyai pelbagai khasiat antaranya merawat air kencing yang keruh, kesihatan ginjal, membantu dalam merawat Benign Prostatic Hyperplasia (BPH) dan lain-lain. Namun, timbul isu melibatkan status sarung telur tersebut dari perspektif hukum Islam memandangkan sarung telur itu terhasil daripada cecair yang keluar melalui perut serangga. Kertas ini ditulis bertujuan menjelaskan hukum penggunaan sarung telur mentadak dalam perubatan menurut perspektif perbahasan fiqh kepenggunaan. Pengkaji menggunakan kaedah kualitatif dengan menjadikan kitab-kitab fiqh, usul fiqh dan fatwa-fatwa di Malaysia sebagai rujukan bagi mengetahui hukum penggunaan mentadak dan cecair yang keluar dari perut mentadak dalam perubatan. Kajian ini juga menumpukan analisis terhadap aplikasi konsep darurat dan istihalah dalam perubatan dalam merungkai permasalahan rawatan menggunakan sarung telur mentadak. Piawaian badan halal berautoriti seperti Jabatan Standard Malaysia turut diteliti untuk mengetahui peraturan dalam penghasilan produk farmaseutikal termasuk aspek penilaian keselamatan yang perlu dipatuhi. Selain itu, pengkaji turut merujuk kajian-kajian saintifik untuk mengetahui khasiat, kegunaan serta kesan sampingan telur mentadak dalam bidang perubatan. Hasil kajian mendapati penggunaan telur mentadak adalah tidak halal kerana mengandungi unsur najis. Telur yang keluar daripada serangga dianggap suatu yang menjijikkan menurut pandangan ulama serta tidak boleh dimakan. Walau bagaimanapun, penggunaannya dalam perubatan perlu dinilai dari perspektif fiqh perubatan dengan melihat tahap keperluannya dalam bidang tersebut. Sehingga kini, penggunaannya tidak mencapai tahap darurat kerana masih terdapat rawatan alternatif bagi penyakit-penyakit yang berkaitan. Malah penggunaan Mantidis Ootheca dalam farmaseutikal hanya melibatkan unsur tambahan yang membantu aspek kesihatan dan bukannya sebagai ramuan utama dalam penghasilan sesuatu ubat-ubatan.  Ia juga tidak menepati piawaian keselamatan yang digariskan oleh fuqaha dan ketetapan MS 2424:2019 berdasarkan kajian semasa yang menunjukkan tiada laporan yang tuntas mengenai aspek toksikologi dan kesan sampingan berbahaya kepada pengguna. Kajian terhadap industri farmaseutikal ini sewajarnya terus dipelopori oleh umat Islam bagi memastikan penggunaan bahan yang halal dalam perubatan.