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Because of Industry 4.0 and Internet of Things, it is easier to collect data from machines through sensors that are embedded inside machines. Once the status change of a machine is detected, production on that machine may need to be adjusted accordingly. In this research, we focus on single machine scheduling with considering the Preventive Maintenance (PM) and machine health index. Machine health index is categorized into three states: good, fair, and breakdown. When the machine moves from one state to another, the processing time of jobs will change as well as the machine failure rate. We develop a model to determine an optimal interval of performing PM and production sequence of jobs. A two-phase heuristic method is proposed to solve a large-size problem. Through different parameter settings, such as the machine failure rate, number of jobs, repair and maintenance cost, we show that the two-phase heuristic can obtain a solution with high quality.

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Exosomes have been suggested as promising targets for the diagnosis and treatment of neurological diseases, including schizophrenia (SCZ), but the potential role of exosome-derived metabolites in these diseases was rarely studied. Using ultra-performance liquid chromatography-tandem mass spectrometry, we performed the first metabolomic study of serum-derived exosomes from patients with SCZ. Our sample comprised 385 patients and 332 healthy controls recruited from 3 clinical centers and 4 independent cohorts. We identified 25 perturbed metabolites in patients that can be used to classify samples from patients and control participants with 95.7% accuracy (95% CI: 92.6%–98.9%) in the training samples (78 patients and 66 controls). These metabolites also showed good to excellent performance in differentiating between patients and controls in the 3 test sets of participants, with accuracies 91.0% (95% CI: 85.7%–96.3%; 107 patients and 62 controls), 82.7% (95% CI: 77.6%–87.9%; 104 patients and 142 controls), and 99.0% (95% CI: 97.7%–100%; 96 patients and 62 controls), respectively. Bioinformatic analysis suggested that these metabolites were enriched in pathways implicated in SCZ, such as glycerophospholipid metabolism. Taken together, our findings support a role for exosomal metabolite dysregulation in the pathophysiology of SCZ and indicate a strong potential for exosome-derived metabolites to inform the diagnosis of SCZ. [ABSTRACT FROM AUTHOR]

Introduction: Human cytomegalovirus (HCMV) is the most common viral infection seen in newborns. The major route of transmission for acquired human cytomegalovirus infection is breast milk from mothers who are HCMV seropositive to the infants. Thus, a rapid, economical, and simple method to perform HCMV test in breast milk is crucial and necessary for preventing acquired HCMV infection, especially in underdeveloped regions with limited laboratory resources., Methods: In this study, an effective technique for the detection of HCMV was constructed by combining multienzyme isothermal rapid amplification (MIRA) and lateral flow chromatography strip (LFD). Primers for the conserved HCMV sequence UL83 were utilized for MIRA-LFD testing., Results: Our results showed that the entire MIRA reaction could be completed in 12 minutes at 37°C, and LFD outcomes could be observed visibly after 10 minutes. The detection sensitivity of this method reached 50 copy/μl. Samples of breast milk were examined to compare MIRA-LFD and conventional qPCR. The accuracy of MIRA-LFD was 100%., Discussion: The straightforward, rapid, economic features of the test can provide the significant advantages for the prevention of breast milk-acquired cytomegalovirus infection, particularly in resource-limited locations with high seroprevalence of cytomegalovirus., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Liu, Guo, Sun, Li, Liu, Chen, Wang, Wang, Li, Yao, Li and Pan.)

Background: Deep partial-thickness (DPT) burns are a common pediatric burn injury and involve the limbs and trunk. Initial management of a pediatric burn is conservative and consists of wound dressings and creams to optimize the environment for reepithelialization. Silver-containing Hydrofiber dressings (SHDs) and silver sulfadiazine (SS) cream are used widely to treat burn wounds. However, the effectiveness of the 2 methods when applied to pediatric DPT burn wounds is unclear., Purpose: This study was performed to compare the effectiveness of SHD versus SS cream in pediatric patients with DPT burns., Methods: The authors conducted a retrospective review of data collected from 92 pediatric patients (mean age, 51.44 months; range, 2 months to 18 years) with DPT burns to the limbs and trunk involving 5% to 10% of total body surface area who were admitted to a burn center from January 2018 through January 2020; more than 75% of these burns were scald injuries. Of the patients included in this analysis, 40 were treated with topical SS cream, whereas SHDs were used in 52 patients. Outcomes included time to complete healing, number of dressing changes, nursing care time, hospitalization expenses, complications, and patient primary caregiver satisfaction score using a 4-point Likert scale., Results: The complete healing time was significantly shorter in the SHD group compared with the SS group (18.98 ± 2.21 days vs 22.45 ± 2.25 days, respectively; P < .05). There were fewer dressing changes in the SHD group than in the SS group (4 ± 0.74 vs 11.55 ± 0.88, P < .05). Overall, caregivers of patients in the SHD group reported better satisfaction than caregivers in the SS group., Conclusion: When compared with SS cream, the use of SHD was found to be a safe, effective, and economical therapeutic method for treating DPT burns in the pediatric patients included in this study..