799 research outputs found
Ensemble Methods for Peristaltic Pump Accuracy Enhancement
This study investigates how ensemble learning techniques can be employed for enhancing peristaltic pump accuracy in pharmaceutical manufacturing, and demonstrates significant accuracy improvements through the novel E-AR implementation, with gains of up to 53.93% at 0.3 ml volume compared to 47% achievable with single models. To establish the foundation for ensemble methods evaluation, we first conduct a comprehensive validation of traditional Adaptive Dosing Control System (ADCS) across an extended volume range (0.1-2.0 ml), demonstrating base performance improvements. In this investigation, we develop a novel offline performance indicator enabling rapid assessment of compensation strategies without extensive physical testing, showing strong correlation with actual measurements. These premises enable a thorough investigation of various ensemble configurations, revealing volume-dependent performance patterns where different models excel under specific conditions, suggesting that practical applications may benefit from volume-specific model selection. The comparison with a very accurate reference mechanical pump, demonstrates that our ADCS solutions achieve comparable or superior performance across most volumes while maintaining the cost-effectiveness. Statistical validation via a multi-dimensional framework confirms the significance of these improvements through multiple complementary tests: paired t-tests showing significant mean differences with p≤0.001, Mann-WhitneyUtests confirming distributional shifts, Levene tests demonstrating variance modifications with statistics up to 801.65, and mixed linear model analysis with F-statistics ranging from 0.004 to 1497.75 confirming global effects
Adaptive Dosing Control System Through ARIMA Model for Peristaltic Pumps
Peristaltic pumps play a crucial role in the pharmaceutical industry, offering advantages such as reduced cross-contamination risks and ease of use. However, their dosing precision often lags behind other devices like volumetric pumps. This study investigates the underlying causes of this phenomenon and proposes effective mitigation strategies to enhance accuracy. Notably, two novel aspects are explored: the underlying causes of dosing variation and compensation systems on precision filling. Through comprehensive analysis, the impact of product temperature on accuracy is unveiled, resulting mainly from variations that alter the elastic properties of the pipe material and lead to significant deviations in dosed volume. Therefore, temperature stabilization becomes imperative for optimal performance. Additionally, the Adaptive Dosing Control System (ADCS) based on time series prediction is introduced, enabling real-time compensation of volume delivery. The filling system is considered as a black box, allowing potential application of these findings on other similar industrial setups. Extensive experiments on state-of-the-art robotic production lines validate the ADCS’s stability and effectiveness, demonstrating up to a 30% improvement in accuracy. In conclusion, this research sheds light on the critical relationship between product temperature and peristaltic pump dosing, while the ADCS represents an advancement in precision filling technology. These results hold potential for enhancing precision, reducing wastage, and improving product quality in the pharmaceutical industry and other precision filling applications
Application of LSTM and GRU neural networks to improve peristaltic pump dosing accuracy
Peristaltic pumps (PP), widely acknowledged for their benefits in pharmaceutical contexts, face challenges in achieving optimal dosing accuracy. This investigation contributes novel insights for the improvement of dosing precision, identifying how to apply AI models, specifically focusing on Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks over a realistic span of target volumes. To provide a more accurate representation of real-world performance, we consider a modified root mean square error metric (RMSEPP) that directly compares dispensed volumes to target volumes. Based on this the study delves into two main methodologies: an iterative retraining method, called Online Training, and Pre-trained approach. Online Training shows best results, especially for volumes below 1.0 ml, achieving 38.4% improvement in RMSEPP and 31.6% in standard deviation (STD). Pre-trained models are faster and exhibit promising outcomes especially for volumes above 1.0 ml, with a three-features approach delivering the best performance (13.8% and 4.6% improvements in RMSEPP and STD, respectively). Overall, the findings highlight the effectiveness of iterative learning techniques, particularly for smaller dosage amounts, which complements the good performance of non-AI approaches for larger ones
Razionalizzazione, azione, disincanto. Studi sull'attualità di Max Weber
Il mondo di Max Weber, fra la seconda rivoluzione industriale e i drammatici esiti della prima guerra mondiale, è lontanissimo dal nostro. Abbiamo assistito alla liquefazione del comunismo che il sociologo di Erfurt aveva visto nascere, alla scomparsa della classe operaia come soggetto culturale e politico, alla trasformazione dei vecchi partiti di massa in semplici agenzie di opinioni spesso convergenti, al venir meno dell'eccezionalità dell'Occidente di fronte all'impetuoso decollo capitalistico dell'Asia meridionale e orientale, alla vanificazione delle grandi cause che imponevano drastiche scelte ad individui e gruppi, al trionfo del privato sul sociale e dell'individuo sulla società, al pieno dispiegarsi delle capacità di manopolazione della natura da parte della tecnologia, alla crisi della ragione illuministica e al "ritorno" delle identità di matrice religiosa.
Eppure, come accade ai grandi classici del pensiero sociologico, Weber riesce ancora a parlarci, e non solo perché il nostro mondo è figlio del suo. Concetti come razionalizzazione, secolarizzazione, disincanto del mondo, gabbia d'acciaio, tornano ad essere problematici e sono - certo non a caso - ancora temi importanti del dibattito culturale del nostro tempo. Con essi siamo costretti, implicitamente o esplicitamente, a confrontarci
Il patrimonio culturale dei terrazzamenti siciliani
La tutela del patrimonio paesaggistico rurale e delle relative strutture insediative e di lavoro negli ultimi decenni è stata oggetto di un interesse crescente non solo degli studiosi, ma anche degli attori della governance territoriale e dei
media. Un segno evidente della cultura materiale e immateriale insita nel paesaggio è rappresentato dai terrazzamenti, di cui, in questo articolo, si propone una disamina e alcune riflessioni, con riferimento al territorio siciliano
RETURN ON INVESTMENT IN CORPORATE RESPONSIBILITY: Measuring the Social, Economic, and Environmental Value of Sustainable Business
In today’s climate, companies must be economically successful and at the same time take social responsibility. Author Cesar Sandro Saenz Acosta introduces a new SROIM (Social Return on Investment Management) model, to design and measure the social value created by companies. © 2018 Emerald Publishing Limited
Ermeneutica Sociologica
L'autore intende ancorare la sociologia al presupposto che la comprensione dell'essere umano in quanto individuo socialmente definito e costruito risiede nella socialitàThe author intends to anchor the sociology the assumption that the understanding of the human being as an individual socially defined and constructed lies in socializin
Né qui, né altrove : migration, detention, desertion : a dialogue
Sandro Mezzadra teaches the History of Contemporary Political Thought at the University of Bologna. He is an active figure in the alternative globalisation movement in Italy, and has been particularly involved in bringing the question of migration to the centre of political struggle in that movement. Sandro is the author of works such as Diritto di fuga: Migrazioni, cittadinanza, globalizzazione (2001) and (with Fabio Raimondi) Oltre Genova, oltre New York: Tesi sul movimento globale (2001). He is also a member of the editorial collective of DeriveApprodi magazine, one of the chief venues in Italy for the critical analysis of contemporary capitalism. We met in Bologna one foggy January afternoon to discuss the global movement, migration, and border control in Europe and Australia
The part-time work and job on call in JustEatTakeaway supplementary company agreement for Takeaway.com Express Italy (Just Eat group) riders
The comment deals with the part-time work regulation, contained, in particular, in Part II of the JustEatTakeaway supplementary company
agreement. The use of this instrument is expected to be massive, considering that it is, in the parties' plans, the common form of work in the company.
The author analyses the provisions contained in the collective agreement, especially in the light of the discipline contained in the CCNL Logistica, Trasporto, Merci e Spedizione and in the Protocol signed on 18 July 2018 for the same sector. The author also discusses the rules on overtime and supplementary work and the rules on intermittent work, which are also subject to specific contractual regulations
Bridging the Boundaries of Science and Technology: Author-Inventors and Quality of Inventions
A growing body of research examines the relationship between science and technology by using a social network lens to look at the collaboration networks between authors and inventors. Building on this research, we study how publishing inventors’ (author-inventors’) structural position in scientific (co-authorship) and technological (co-invention) networks affects the quality of their inventions. We probe author-inventors’ characteristics by identifying those who act as cutpoints—i.e., those who play a pivotal role in holding the two networks together. Cutpoints can be connected to more or less cohesive subgroups of the scientific network and hence have access to more or less diverse knowledge bases. The results of the analysis suggest that author-inventors’ structural position—in particular, whether they are cutpoints and belong to more cohesive subgroups of the scientific network—is highly consequential for the quality of the inventions with which they are involved. We tested our hypotheses in the emerging field of nanotechnology. The theoretical and managerial implications of the results are discussed
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