Production Team Research Articles

Summarization for Enhanced Video Conference Collaboration

Abstract: Efficient collaboration during video conferences is crucial for team productivity. However, the absence of effective mechanisms to capture and preserve key insights often results in misunderstandings and reduced efficiency. The proposed initiative focuses on developing a web application to improve collaboration in video conferences by converting speech conversations into summarized text. Leveraging machine learning models, the system transcribes spoken content using whisper model and employs abstractive summarization using Pegasus X-Sum model. The Whisper architecture is implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder. A decoder is trained to predict the corresponding text caption, intermixed with special tokens that direct the model to perform transcription. The goal is to empower users to effortlessly capture and retain crucial discussions, promoting better understanding and decision-making.

INOVASI KOMUNIKASI PUBLIK: STRATEGI PENGEMBANGAN MEDIA PODCAST SEBAGAI ALAT INFORMASI DAN PELAYANAN PUBLIK DI DESA BANJARSARI KABUPATEN PROBOLINGGO

Current technological advances have begun to give rise to many new media trends, one of which is podcasts. Banjarsari Village, Probolinggo Regency is one of the villages that has a podcast program managed by PIK-R Banjarsari Youth. This program is one example of the information media and public services in the current era of digitalization. However, the problem is, that Banjarsari Village does not utilize existing facilities, and the podcast made has not reached most of the people of Banjarsari Village. Therefore, this study aims to formulate a podcast development strategy to build a digital society and provide digital-based public services in Banjarsari Village. This research uses a descriptive research method with a qualitative approach. Data collection is used through primary data, namely interviews, observations, documentation, and secondary data such as journal articles, reference books, websites, and also previous research. Through the perspective of Robbins and Coulter's strategy theory, it was found that there are three levels of strategy. First, corporate strategy, adding a YouTube channel as a differentiator of discussion topics and being active in social media as a consulting room. Second, competitive strategies, there needs to be consistency in uploading content and podcast administrators must be good at choosing content concepts and themes that can attract the attention of the audience. Third, functional strategy, the formation of a production team in creating podcast content as well as mentoring and training to Banjarsari Village youth. Keywords: Strategy; Podcast; Public Information; Public Service

Dynamic changes of tenderness, moisture and protein in marinated chicken: the effect of different steaming temperatures.

The steam processing characteristics of chicken are a key factor in the simplicity and versatility of steamed chicken dishes. The aim of this study was to investigate in depth the changes in tenderness and water retention of marinated chicken at different slow steaming endpoint temperatures, and to further explore the effect of the evolution of protein conformations on the water status. The results showed that chicken samples' shear force peaked at 80 °C and decreased rapidly at 90 °C. As the steaming endpoint temperature increased between 50 and 90 °C, T21, T22, moisture content and centrifugal loss decreased, but P21, P22 and myofibril water-holding capacity showed regular changes. The electrophoretic bands and protein conformation changes showed that protein in marinated chicken underwent different degrees of denaturation, degradation and aggregation. And at 70 °C, with an increase of hydrophobic groups and crosslinking of disulfide bonds as well as an increase in the number of denatured sarcoplasmic proteins, the intermolecular network was enhanced, thus affecting the water retention. Water status of chicken meat heated at different steaming temperatures is closely related to the evolution of protein conformations. The present study serves as a robust theoretical foundation for enhancing the quality of steamed chicken products at an industrial scale. © 2024 Society of Chemical Industry.

The impact of project‐based interorganizational networks: Evidence from the Chinese movie industry

AbstractProject‐based interorganizational networks are temporary and dynamic, and significantly different from stable networks for mass production. However, empirical studies on project‐based interorganizational networks are scant. Drawing upon the network literature and distinguishing between production and distribution networks, we investigate how the centrality of a project in industry networks and tie strength of the project's member firms affect project performance in terms of product quality and sales. Using data of 821 Chinese movie projects during 2015–2018, we find empirical evidence that a project's centrality in the production network enhances product quality and that in the distribution network elevates product sales. Interestingly, weak ties in the production team contribute to product quality while strong ties in the distribution team improve product sales. This study advances the literature on project‐based industries and interorganizational networks. It highlights the distinction between production and distribution networks in project‐based industries and sheds light on the differential roles of a project's centrality and tie strength in both networks. These findings also offer novel insights to managers in project‐based industries.

Analysis of VOCs in Lueyang Black Chicken Breast Meat during the Steaming Process with GC-IMS and Stoichiometry

Steamed chicken breast meat attracts people for its unique flavor and nutritional benefits. In this study, the sensory evaluation of Lueyang black chicken breast meat during steaming was first performed, and their volatile organic compounds (VOCs) were further analyzed by gas chromatography-ion mobility spectroscopy (GC-IMS) combined with stoichiometry. The sensory results demonstrated that the Lueyang black chicken breast meat steamed for 15–30 min was more acceptable in taste, flavor, and chewiness. A total of 60 volatile flavor signal peaks were obtained, and 46 VOCs were recognized from qualitative analysis, containing 24 aldehydes (51.19–72.57%), 8 ketones (10.15–16.97%), 9 alcohols (7.98-13.16%), 2 furans (2.24–10.85%), 2 esters (0.54–1.56%), and 1 ether (0.05–2.47%). A stable and reliable prediction model was set up by orthogonal partial least squares-discriminant analysis (OPLS-DA), and 18 characteristic VOCs (including 10 aldehydes, 3 alcohols, 3 ketones, 1 furan, and 1 ether) were picked out through variable importance in the projection (VIP>1.0 and p<0.05). Principal component analysis (PCA) results indicated that the cumulative contribution ratio was 92% with PC1 68.7% and PC2 23.3%, respectively, indicating that these characteristic VOCs could well discriminate the steaming time of Lueyang black chicken breast meat. Heatmap clustering analysis also demonstrated a similar distinguishing effect. These results could provide references for the research, development, and quality control of ready-to-eat steamed products for Lueyang black chicken breast meat in the future.

THE ETHICAL IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN B2B MARKETING: A CRITICAL ANALYSIS

The article discusses some relevant philosophical and methodological aspects of the analysis of the processes of digitalization of markets and the introduction of digital technologies in business management related to digital ethics. The empirical research conducted by the author is aimed at identifying current trends in the implementation of artificial intelligence in marketing, the attitude of company management to the implementation of these processes, awareness of ethical aspects and problems of interaction with consumers. The goal of the work is to advance the issues of determining the attributes of digital ethics for the use of artificial intelligence in business: assessing the awareness of new opportunities and risks in Russian entrepreneurship. These issues naturally attract the attention of Russian. In this regard, a number of ethical problems relevant to the digital space are identified, such as problems of information wars and cyber attacks, problems of information security, privacy of private life, primacy of information sources, digital education technologies, transformation of moral values, in particular , perceptions of cruelty and violence in the digital entertainment industry, ethics of virtual communities, the use of artificial intelligence and virtual reality in production teams. The issues of developing the business environment, in particular, the reputational risks of companies in the context of the emergence of a new digital ethics, also deserve special attention . The wide public response to the ethical aspects of digitalization of various aspects of public relations has led to the development of a number of international and Russian documents that bring to the fore the observance of ethical principles and norms in the new environment of life and development of society. About two dozen large Russian companies and organizations signed the first Russian “Code of Ethics for Artificial Intelligence” at the end of 2021. The Artificial Intelligence Code states that responsibility in the application of this technology must always remain with humans. Its development is provided for by the AI Development Strategy until 2030 and the federal project “Artificial Intelligence”. For now, compliance with the norms of this document is voluntary. There are similar documents in 20 countries, 35 large companies in the world already have their own codes, in Russia - Sberbank and Yandex (Artificial Intelligence...). At the end of 2022, the European Union adopted the European Declaration on European Digital Rights and Principles (European Digital Rights.). Keywords: digital ethics, business ethics, artificial intelligence, marketing, parasocial relationships.

Enhanced monitoring and dynamic analysis of a concentrated solar thermal experimental plant for steam production

Solar heat for industrial processes (SHIP) is an increasingly interest option as a key strategy to decarbonise the industrial sector. Linear Fresnel Collectors are a promising technology due to their cost-effectiveness and efficiency. As part of the SOLPINVAP project, an experimental facility was constructed to prove the use of modular Linear Fresnel collectors for steam production in industrial processes. SHIP plants commonly use standard industrial sensors, which can result in high uncertainty when measuring absorbed and produced heat. This can be problematic when selling energy to customers through an energy purchase agreement. To address this issue, an uncertainty analysis was conducted in the experimental plant, and more precise instrumentation was added to the installation. This reduced the uncertainty in the absorbed energy in the solar field from 12 % to 3 % and obtaining an uncertainty of 3 % in the generated energy. Additionally, the operation of the plant was studied through experimental tests conducted during the summer of 2022, and the system dynamics were analysed during the period of peak heat absorption.

Evaluating the feasibility of direct contact membrane distillation and nanofiltration in ground water treatment through a techno-economic analysis

This study delves into the realm of water treatment by conducting a comprehensive techno-economic evaluation of direct contact membrane distillation (DCMD) and nanofiltration (NF) processes. While previous research has explored the technical aspects of membrane distillation (MD) and nanofiltration, there remains a notable gap in economic analyses. Our research aims to bridge this gap by assessing the financial feasibility of employing MD and NF technologies for water desalination. Specifically, we scrutinize the performance of hydrophobic microporous flat sheet membranes crafted from polytetrafluoroethylene (PTFE) supported by non-woven polypropylene (PP) in desalinating brackish water through DCMD and NF processes. By varying operating conditions such as flow rate and feed temperature, we evaluate the membrane's efficacy. Employing an analytical model based on heat and mass transfer equations, we predict process performance across diverse scenarios. Our model demonstrates a high level of accuracy, with flux predictions deviating by less than 10% when utilizing the Knudsen-molecular mechanism model. Furthermore, through a detailed design and economic analysis of industrial-scale units for both processes, we reveal that the cost of permeated water is lower with NF compared to DCMD. Specifically, our calculations indicate a water cost of 1.34 USD/m3 for DCMD at a feed temperature of 65 °C with an 80% recovery rate, positioning it as a competitive option among conventional desalination methods. Notably, our financial assessment highlights that steam cost constitutes the primary expense in DCMD operations, contingent upon heating value and fuel prices. Noteworthy findings suggest that natural gas emerges as the most cost-effective fuel for steam production in a DCMD plant. This study underscores the economic viability and potential cost efficiencies associated with NF over DCMD in water treatment applications.

Supporting Emotional Intelligence, Productivity and Team Goals while Handling Software Requirements Changes

Background: Research shows that emotional intelligence (EI) should be used alongside cognitive intelligence during requirements change (RC) handling in Software Engineering (SE), especially in agile settings. Objective: We wanted to study the role of EI in-depth during RC handling. Method: We conducted a mixed-methods study (an interview study followed by a survey study) with 124 software practitioners. Findings: We found the causal condition, intervening condition and causes lead to key direct consequences of regulating own emotions, managing relationships, and extended consequences of sustaining productivity, setting and sustaining team goals. We found several strategies of supporting EI during RC handling. Further, we found strong correlations between six strategies and one being aware of own emotions, regulating own emotions, sustaining team productivity, and setting and sustaining team goals. Conclusion: Empathising with others and tracking commitments and decisions as a team are key strategies that have strong correlations between managing emotions, between sustaining team productivity, and between setting and sustaining team goals. To the best of our knowledge, the framework we present in this paper is the first theoretical framework on EI in SE research. We provide recommendations for software practitioners to consider during RC handling.

Unveiling the Shadow: Theorizing the Impact of Narcissistic Leadership on Sales Teams

This study investigates the dual nature of narcissistic leadership within sales teams, revealing its potential to both inspire ambitious goals and undermine team cohesion and performance. By integrating a comprehensive literature review, the research outlines the characteristic behaviors of narcissistic leaders, such as arrogance and a lack of empathy, and their impact on team dynamics, including reduced cohesion, increased conflict, and impaired team performance. The paper proposes strategies to mitigate these negative effects, such as leadership development programs, team-based performance evaluations, and fostering a culture of empathy. It highlights the importance of understanding and addressing the complexities of narcissistic leadership to cultivate healthier, more productive team environments. The findings call for further research into the long-term effects of narcissistic leadership and the development of effective management strategies.

Numerical modeling of triply period minimal surface structures with catalyst coating for hydrogen production of methanol steam reforming

The catalyst support structure has a significant influence on the performance of the methanol steam reforming (MSR) microreactor for in-situ hydrogen production. Triply period minimal surface (TPMS) structures are emerging as an attractive option as porous MSR catalyst supports owing to their excellent specific surface area, smooth surface and highly interconnected pores. This paper develops a numerical model of the sheet TPMS unit structures with catalyst coating to investigate the flow and reaction characteristics for hydrogen production of MSR reaction. The P, G, and D curved surface structural models were constructed with different porosities. The numerical results indicated that the P curved surface structure with the porosity of 90% had the lowest pressure drop of 0.15 Pa and the highest permeability of 6.31 × 10−9 m2, while the G curved surface structure always demonstrated excellent flow performance within the porosity range of 50–90%. The D curved surface structure exhibited the best reaction performance with hydrogen production exceeding P and G curved surface structures by about 23% and 78% respectively. Furthermore, the performance differences between the two flow phases of the sheet TPMS structures were investigated for the bicontinuous characteristic. The flow phases of the G curved surface structure demonstrated the best consistency in flow and reaction performances. Finally, the optimal design of the sheet, network, and multi-unit heterogeneous TPMS structural catalyst supports was discussed.

Effects of component ratios on the properties of sweet potato-oat composite dough and the quality of its steamed cake.

To enhance the value proposition of sweet potato and oat while broadening their applicability in further processing, this study systematically investigated the impact of oat flour incorporation ratios (5%-25% of sweet potato dry weight) on the quality attributes of sweet potato-oat composite dough and its resulting steamed cake products. The results showed that the addition of oat flour could promote the rheological, water retention, and thermomechanical properties of the composite dough and improve the internal microstructure, specific volume, texture, and other processing properties of the steamed cake products. The rheology, water retention, and protein stability of the dough were maximized when the proportion of oat flour was 25%. The textural properties of steamed cakes, hardness, elasticity, cohesion, adhesion, chewiness, and recovery significantly increased (p<0.05) and viscosity significantly decreased (p<0.05) with the addition of oat flour. It is noteworthy that thermodynamic properties, internal structure of the dough, and air holding capacity, which are critical for processing, showed the best results at 20% oat flour addition. Therefore, the addition of 20%-25% oats is recommended to produce composite doughs with optimal quality and processing characteristics. PRACTICAL APPLICATION: As living standards improve, traditional cereals may no longer able to meet people's health needs. Therefore, there is an urgent consumer demand for nutritious, tasty alternatives to staple foods. In this study, oat flour and sweet potato mash were mixed to make sweet potato-oat cake, and the effect of ingredient ratio on the performance and quality of composite dough containing sweet potato-oat flour was analyzed, thus proposing an innovative approach to the research, development, and industrial production of sweet potato and oat food products.

Matheuristic for the lot-sizing and scheduling problem in integrated pulp and paper production

Vertical pulp and paper production is challenging from a process point of view. Managers must deal with floating bottlenecks, intermediate storage levels, and by-product production to control the whole process while reducing unexpected downtimes. Thus, this paper aims to address the integrated lot sizing and scheduling problem considering continuous digester production, multiple paper machines, and a chemical recovery line to treat by-products. The aim is to minimize the total production cost to meet customer demands, considering all productive resources and encouraging steam production (which can be used in power generation). Production planning should define the sizes of production lots, the sequence of paper types produced in each machine, and the digester working speed throughout the planning horizon. Furthermore, it should indicate the rate of by-product treatment at each stage of the recovery line and ensure the minimum and maximum storage limits. Due to the difficulty of exactly solving the mixed integer programming model representing this problem for real-world instances, mainly with planning horizons of over two weeks, constructive and improvement heuristics are proposed in this work. Different heuristic combinations are tested on hundreds of instances generated from data collected from the industry. Comparisons are made with a commercial Mixed-Integer and Linear Programming solver and a hybrid metaheuristic. The results show that combining the greedy constructive heuristic with the new variation of a fix-and-optimize improvement method delivers the best performance in both solution quality and computational time and effectively solves realistic size problems in practice. The proposed method achieved 69.41% of the best solutions for the generated set and 55.40% and 64.00% for the literature set for 1 and 2 machines, respectively, compared with the best solution method from the literature and a commercial solver.

Precise Enough For Outer Space

Abstract For manufacturers, the ability to produce parts from designs reliably is critical. Because simple blueprints don’t convey enough information, Geometric Dimensioning and Tolerancing, or GD&amp;T, has become a standard symbolic language for communicating properties such as form, location, orientation, size, and function. The ASME Video Production Team recently visited GT Machine and Tool Co. in Long Island City, N.Y., to talk with company president Dean Theodos about how GD&amp;T enabled its machine shop to produce all kinds of parts.

WOMEN’S EMPOWERMENT THROUGH RADIO BROADCAST PROGRAM STRATEGY

The radio broadcasting strategy is carried out by Beautiful Radio 95.6 FM on the broadcast program Ruang Perempuan. This research aims to find out the process of radio broadcasting strategy with Ruang Perempuan program using the concept of Peter K Pringle. This research uses a qualitative approach with a case study research design. The technique of determining informants using purposive sampling technique. The research data obtained from observation, interviews, and documentation. The results of the research on the planning stage of Ruang Perempuan broadcasts are through the selection of themes, program formats, production teams and broadcasters, program objectives and routine evaluation. The production stage begins with making a question list, preparing equipment, making digital posters and brifieng; then followed by the production stage. The post-production stage involved handing over the inspirational women's charter and editing the aftermovie video. Execution stage by determining broadcast hours based on planning and target listeners. The monitoring and evaluation stage is carried out on an ongoing basis and once a month. Ruang Perempuan is present to optimize the broadcast program with the target audience of adult women aged 30-45 years in terms of information, inspiration, and motivation regarding finance, career, profession, business through female speakers. The implication is that radio broadcast programs specifically designed to encourage women's empowerment can be one of the effective instruments in overcoming gender inequality and increasing women's participation in various aspects of life.

Integration Waterfall and Scrum Methodology in The Development of SIMARGA Web Application

This research explores the integration of Waterfall and Scrum methodologies in the development of the SIMARGA web application. The integration aims to maximize the strengths of each methodology, with Waterfall contributing to planning, analysis, and initial system structure, while Scrum supports the creation of Product Backlog and implementation of Scrum events. The combination results in a structured and methodical product management process, simplifying task lists and enhancing efficiency. The achievement of good efficiency and effectiveness in task execution is facilitated by leveraging both methodologies, reducing wastage. Progress in product development and team productivity is measured through daily meetings, evaluations, and sprint reviews. Emphasis is placed on fostering strong relationships among the Scrum team, customers, and stakeholders, promoting effective communication and collaboration. However, challenges are identified in team commitment to daily meetings, potentially influenced by their involvement in additional business activities. Future efforts should focus on technological resource enhancement and software maintenance to achieve the initially outlined product goals. The effectiveness of this product development initiative can be measured using metrics such as views and user data, particularly in the Kabupaten Pegunungan Bintang.

An empirical analysis of individual and collective determinants of international research collaboration

International research collaboration is a crucial determinant of scientific productivity, but it remains an underdeveloped task for governments, universities and research systems. Despite important economic and institutional efforts to promote collaborations, not all researchers establish successful international connections during their academic careers. This lack of international contacts hinders knowledge transfer from a broader perspective, limiting, in a way, the advancement of science. This paper analyses these factors—individual and collective—affecting research collaboration in the international context through a hierarchical multiple regression analysis of a sample of 954 Spanish academic researchers. We found that collective factors such as research team social capital—including structural and cognitive dimensions—and team orientation toward research and team productivity clearly affect international collaboration levels. Furthermore, contrary to our expectations, researchers’ human capital and motivation, and the principal investigator’s knowledge-oriented leadership, exerted only a very weak effect, which also is discussed in the paper’s final section.

Beyond Words

Beyond Words

Use of automation, dynamic image analysis, and process analytical technologies to enable data rich particle engineering efforts at the Drug Substance / Drug Product interface: A case study using Lovastatin

Automation plays a vital role in reducing development time in the pharmaceutical industry, both for drug substance (DS) and drug product (DP). Many aspects of crystallization development (solubility, kinetics, solid form characterization, concentration) have been positively impacted by automation; both in hardware and data processing, in the last two decades. However, wet milling, a critical unit operation used to manipulate particle properties in a crystallization process, has been non-conducive for automation. This study discusses efforts towards automation of wet milling, coupled with off-the-shelf automation tools for faster execution of physical property design workflows. The hardware and software configuration used, along with challenges and prospects to achieve milling automation are discussed. Lovastatin was used as a model compound to demonstrate the capabilities of the automated platform to achieve morphology and size manipulation. Five different batches of lovastatin were produced using different combinations of milling and thermal cycling. Milling followed by thermal cycling led to formation of rougher, fused particles with a lower aspect ratio compared to those produced by thermal cycling followed by milling. In-situ particle video microscopy was used to decipher that the initial increase in particle size during thermal cycling was driven by a fusion of primary particles followed by growth. Key material property descriptors such as bulk/tap density, flow function coefficient, surface area, and particle size by laser diffraction were collected using traditional means while particle size, aspect ratio and smoothness were also measured using image analysis. Lastly, principal component analysis (dimensionality reduction) was performed to determine the key property relationships impacting flowability. It was found that fines as measured by d10 (10th percentile of the volumetric size distribution) and Hausner ratio had a high positive and negative correlation, respectively with flowability. The on demand milling platform combined with data rich trials using PAT is estimated to accelerate process development for particle engineering and reduce the drug substance delivery time to drug product team.

Analysis of Damages to Boiler Screen Tubes BKZ-160-100-GM (Barnaul Boiler Plant, steam productivity 160 t/h, pressure 100 kgf/cm2, Fuel: Natural Gas/Fuel Oil) after Reconstruction for Increased Steam Productivity to 210 t/h

Reconstruction of pulverized coal boilers BKZ (Barnaul Boiler Plant, steam productivity 160 t/h, pressure 100 kgf/cm2, fuel: natural gas/fuel oil) with steam productivity of 160 t/h, converted to gas combustion, and an increased load capacity to 210 t/h, has been carried out. As part of the boiler modernization, a chemical water treatment system was reconstructed, significantly improving the quality of feedwater: hardness not exceeding 0.3-0.5 µeq/kg; SiO2 not exceeding 18 µg/kg, and electrical conductivity Х=0.6-1.0 µS/cm. The previously used phosphate regime for boiler water was replaced with a chelant-based regimen using trilon B. During operation, widespread damage to the screen tubes occurred. Circulation tests were conducted on one of the boilers, and an analysis of internal deposits was performed. It was determined that water circulation in the side screen is stable, and its velocities correspond to calculated values. The main cause of metal ruptures in the screen tube is metal corrosion, as well as local overheating of the wall caused by the formation of a steam layer due to the detachment of internal deposits.