Anarchic manufacturing: implementing fully distributed control and planning in assembly

This paper demonstrates that a distributed control and planning system can fulfil an idealised mixed-model assembly problem and compete with traditional systems. The anarchic manufacturing system is a distributed planning and control system, based on a free market structure, where system elements have decision-making authority and autonomy. Mixed-model assembly is typically managed centrally for production planning and control, using simplification and hierarchical structures to manage complexity. In developing anarchy, inter-job cooperation is implemented to synergise jobs together and fulfil global objectives efficiently. The anarchic system maximises available flexibility, through embracing complexity, and reduces myopic decision making by maximising an agent’s lifetime profitability. Through agent-based simulation experiments, the anarchic system is compared to fixed and flexible centralised systems. The proposed system outperforms traditional systems when the scenario’s structural flexibility allows agile and delayed dynamic decision making. Additionally, the anarchic system managed dynamic bottleneck disruptions as effectively as flexible centralised systems

Clinical and laboratory findings in mad honey poisoning: A single center experience

Objective: This study is aimed at analyzing the demographic and clinical characteristics, as well as the hematological.biochemical parameters of patients who admitted to the hospital with the diagnosis of mad honey poisoning.Materials and Methods: A total of 16 patients who were admitted with mad honey intoxication symptoms and treated in Emergency Department of Sakarya Education and Research Hospital between January 2009 and December 2012 were included in the study. Demographic and clinical characteristics of the patients and hematological, biochemical parameters were obtained from hospital records. Heart rate, systolic and diastolic blood pressure on admission and at discharge were obtained retrospectively.Results: Sixteen patients (10 males and 6 females, mean age 58.5 ± 10 years, range between 41 and 79) were included in our study. Heart rate was 42± 6 beats/min, systolic blood pressure was 73 ± 19 mmHg, and diastolic blood pressure was 45 ± 17 mmHg on admission. In the evaluation of the patients' heart rhythms on admission to the emergency room, nine  (56.3%) patients had sinus bradycardia, three (18.8%) patients had nodal rhythm, two (12.5%) patients had first degree atrioventricular block, and two (12.5%) patients had atrial fibrillation. Atropine 1.1 ± 0.4 mg and saline 1125 ± 465 ml were used to treat patients. Patients were discharged with a stable condition after an average 27.7 ±7.2 h of follow.up. Heart rate was 75 ± 8 beats/min, systolic blood pressure was 132 ± 7 mmHg, and diastolic blood pressure was 82 ± 6 mmHg at discharge. Mortality was not observed. Hematological and biochemical parameters measured at the time of admission were within normal ranges.Conclusion: Mad honey poisoning should be considered in previously  healthy patients with unexplained symptoms of bradycardia, hypotension, and cardiac dysrhythmias. Therefore, diet history should carefully be  obtained from the patients admitted with bradycardia and hypotension, and mad honey intoxication should also be considered in the differential  diagnosis, as well as primary cardiac, neurologic, and metabolic disorders. Mad honey poisoning may be presented with life.threatening symptoms without any hematological and biochemical disorder.Key words: clinical and laboratory findings, mad honey, poisonin

Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future

This review illuminates the pivotal synergy between machine learning (ML) and biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and biochemicals. Biobased polymers, derived from renewable sources, have garnered attention for their roles in sustainable energy and fuel sectors. These polymers, when integrated with ML techniques, exhibit enhanced functionalities, optimizing renewable energy systems, storage, and conversion. Detailed case studies reveal the potential of biobased polymers in energy applications and the fuel industry, further showcasing how ML bolsters fuel efficiency and innovation. The intersection of biobased polymers and ML also marks advancements in biochemical production, emphasizing innovations in drug delivery and medical device development. This review underscores the imperative of harnessing the convergence of ML and biobased polymers for future global sustainability endeavors in energy, fuels, and biochemicals. The collective evidence presented asserts the immense promise this union holds for steering a sustainable and innovative trajectory

Frequency tunable near-infrared metamaterials based on VO_2 phase transition

Engineering metamaterials with tunable resonances from mid-infrared to near-infrared wavelengths could have far-reaching consequences for chip based optical devices, active filters, modulators, and sensors. Utilizing the metal-insulator phase transition in vanadium oxide (VO_2), we demonstrate frequency-tunable metamaterials in the near-IR range, from 1.5 - 5 microns. Arrays of Ag split ring resonators (SRRs) are patterned with e-beam lithography onto planar VO_2 and etched via reactive ion etching to yield Ag/VO_2 hybrid SRRs. FTIR reflection data and FDTD simulation results show the resonant peak position red shifts upon heating above the phase transition temperature. We also show that, by including coupling elements in the design of these hybrid Ag/VO_2 bi-layer structures, we can achieve resonant peak position tuning of up to 110 nm