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Objetivo: estimar a prevalência de Aleitamento Materno Exclusivo (AME) entre gemelares pré-termos e investigar o efeito de nascer gemelar e pré-termo no AME na alta hospitalar. Método: coorte prospectiva de recém-nascidos em uma instituição localizada no Rio de Janeiro, no período de 13 de março de 2017 a 12 de outubro de 2018. Dados coletados em questionário e prontuário médico. Foi utilizado DAG para construção do modelo conceitual, análise exploratória dos dados e regressão logística múltipla. Resultados: a prevalência de AME na alta hospitalar de gemelares pré-termos foi de 47,8%. Pré-termos apresentaram maior chance de não estarem em AME na alta hospitalar. Não gemelares apresentaram maior chance de não estarem em AME na alta hospitalar. Conclusão: pouco mais da metade dos gemelares pré-termo não estavam em AME na alta hospitalar. Prematuros tiveram maior chance de não estarem em AME. Não gemelares pré-termo apresentaram maior chance de não estarem em AME.

Objective: to estimate the prevalence of Exclusive Breastfeeding (EBF) in preterm twins and to investigate the effect of twin and preterm birth on EBF at hospital discharge. Method: prospective cohort of newborns in an institution located in Rio de Janeiro, from March 13, 2017, to October 12, 2018. Data collected through a questionnaire and medical records. A DAG was used to build the conceptual model, exploratory data analysis and multiple logistic regression. Results: prevalence of EBF at hospital discharge of preterm twins of 47.8%. Preterm infants were more likely to not be on EBF at hospital discharge. Non-twins were more likely to not be on EBF at hospital discharge. Conclusion: just over half of preterm twins were not on EBF at hospital discharge. Preterm infants had a greater chance of not being on EBF. Preterm non-twins were more likely to not be on EBF.

Objetivo: estimar la prevalencia de Lactancia Materna Exclusiva (LME) entre gemelos prematuros y investigar el efecto de nacer gemelo y prematuro en la LME al momento del alta hospitalaria. Método: cohorte prospectiva de recién nacidos en una institución ubicada en Rio de Janeiro, entre 13//marzo/2017 y 12/octubre/2018. Los datos se recolectaron mediante cuestionario y expediente médico. Se utilizó DAG para la construcción del modelo conceptual, análisis exploratorio de los datos y regresión logística múltiple. Resultados: la prevalencia de LME en el alta hospitalaria de gemelos prematuros fue del 47,8%. Los prematuros tuvieron mayor probabilidad de no estar en LME en el alta hospitalaria. Los no gemelares tuvieron mayor probabilidad de no estar en LME en el alta hospitalaria. Conclusión: poco más de la mitad de los gemelos prematuros no estaban en LME en el alta hospitalaria. Los prematuros tuvieron mayor probabilidad de no estar en LME. Los no gemelos prematuros presentaron mayor probabilidad de no estar en LME.

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Same-day discharge (SDD) after Laparoscopic Roux-En-Y Gastric Bypass (LRYGB) faces resistance due to possible undetected postoperative complications. These present with changes in vital signs, which continuous remote monitoring devices can detect. This study compared continuous vital signs monitoring using the Isansys Patient Status Engine™ with standard nursing vital signs measurements to assess the device's reliability in postoperative surveillance of patients undergoing LRYGB. We conducted a pilot study including patients who underwent LRYGB. During their hospital stay, patients were continuously monitored using the Isansys Patient Status Engine™ with Lifetouch™, Lifetemp™, and Nonin Pulse Oximeter™ sensors. The heart rate (HR), body temperature, and oxygen saturation (SpO2) collected by the device were compared with standard nursing assessments. Thirteen patients with a mean body mass index of 41.5 ± 4.4 kg/m2 were included. No major complications occurred. The median HR assessed by standard and continuous monitoring did not significantly differ (75.5 [69-88] vs. 77 [66-91] bpm, p = 0.995), nor did the mean values of SpO2 (94.7 ± 2.0 vs. 93.7 ± 1.8%, p = 0,057). A significant difference was observed in median body temperature between the nursing staff and the monitoring device (36.3 [36.1-36.7] vs. 36.1 [34.5-36.6] degrees Celsius, p = 0.012), with a tendency for lower temperature measurements by the device. In conclusion, this is the first study on continuous postoperative surveillance using the Isansys Patient Status Engine™ monitoring device for LRYGB patients. Our results introduce a novel tool for more efficient surgery. Prospective randomized experimental studies are warranted to evaluate this method's efficacy and safety.

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This study aimed to analyze the frequency of unexpected subclinical spikes (USCS) in pediatric patients who underwent high-density electroencephalogram (HD-EEG). Of the 4481 successful HD-EEG studies, 18.5% (829) were abnormal, and 49.7% of these abnormal studies showed SCS, of which 64.1% were USCS. USCS were found to be correlated with attention/concentration deficits and executive dysfunction, often accompanied by the dual psychiatric diagnosis of ADHD. MRI revealed abnormal findings in 32.6% of the subjects with USCS, such as abnormal signal or signal hyperintensity in brain parenchyma, temporal or arachnoid cysts, and vascular malformations. Moreover, the USCS group who received neuropsychiatric testing scored lower than the population mean on Full-Scale Intelligence Quotient, Working Memory Index, and Processing Speed Index. This study highlights the potential of USCS as biomarkers that can lead to changes in clinical management and outcomes, provide valuable information about pathophysiological mechanisms, and suggest potential treatment pathways.

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BACKGROUND: Patients with respiratory or cardiovascular diseases often experience higher rates of hospital readmission due to compromised heart-lung function and significant clinical symptoms. Effective measures such as discharge planning, case management, home telemonitoring follow-up, and patient education can significantly mitigate hospital readmissions. OBJECTIVE: This study aimed to determine the efficacy of home telemonitoring follow-up in reducing hospital readmissions, emergency department (ED) visits, and total hospital days for high-risk postdischarge patients. METHODS: This prospective cohort study was conducted between July and October 2021. High-risk patients were screened for eligibility and enrolled in the study. The intervention involved implementing home digital monitoring to track patient health metrics after discharge, with the aim of reducing hospital readmissions and ED visits. High-risk patients or their primary caregivers received education on using communication measurement tools and recording and uploading data. Before discharge, patients were familiarized with these tools, which they continued to use for 4 weeks after discharge. A project manager monitored the daily uploaded health data, while a weekly video appointment with the program coordinator monitored the heart and breathing sounds of the patients, tracked health status changes, and gathered relevant data. Care guidance and medical advice were provided based on symptoms and physiological signals. The primary outcomes of this study were the number of hospital readmissions and ED visits within 3 and 6 months after intervention. The secondary outcomes included the total number of hospital days and patient adherence to the home monitoring protocol. RESULTS: Among 41 eligible patients, 93% (n=38) were male, and 46% (n=19) were aged 41-60 years, while 46% (n=19) were aged 60 years or older. The study revealed that home digital monitoring significantly reduced hospitalizations, ED visits, and total hospital stay days at 3 and 6 months after intervention. At 3 months after intervention, average hospitalizations decreased from 0.45 (SD 0.09) to 0.19 (SD 0.09; P=.03), and average ED visits decreased from 0.48 (SD 0.09) to 0.06 (SD 0.04; P<.001). Average hospital days decreased from 6.61 (SD 2.25) to 1.94 (SD 1.15; P=.08). At 6 months after intervention, average hospitalizations decreased from 0.55 (SD 0.11) to 0.23 (SD 0.09; P=.01), and average ED visits decreased from 0.55 (SD 0.11) to 0.23 (SD 0.09; P=.02). Average hospital days decreased from 7.48 (SD 2.32) to 6.03 (SD 3.12; P=.73). CONCLUSIONS: By integrating home telemonitoring with regular follow-up, our research demonstrates a viable approach to reducing hospital readmissions and ED visits, ultimately improving patient outcomes and reducing health care costs. The practical application of telemonitoring in a real-world setting showcases its potential as a scalable solution for chronic disease management.

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Eutrophic shallow lakes are hotspots of carbon (C) and nitrogen (N) accumulation and transformation, and are increasingly recognized as important sources of greenhouse gases (GHGs: CO2, CH4 and N2O). Lacustrine groundwater discharge (LGD) is a crucial component of the water budget and terrestrial material delivery for lakes, but its interplays with intrinsic CN biogeochemical processes remain less tackled. In this study, C and N ingredients and multiple stable isotopes (δ2H, δ18O, δ13C, and δ15N) were measured seasonally in groundwater, river water and lake water of a large eutrophic shallow lake in eastern China. The results revealed that groundwater is enriched with various forms of C and N that have similar sources and pathways as surface water in the lake and rivers. The isotope balance model also indicated that LGD derived C and N contribute significantly to lake inventories in addition to river runoff. These allochthonous C and N provide extra substrates for related biogeochemical processes, such as algae proliferation, organic matter degradation, methanogenesis and denitrification. Simultaneously, the excess oxygen consumption leads to depletion and hypoxia in the lake, further facilitating the processes of methanogenesis and denitrification. LGD functions not only as an external source of C and N that directly increases GHG saturations, but also as a mediator of internal CN pathways, which significantly affect hypoxia formation, GHG productions and emissions in the eutrophic lake. This study highlights the unrevealed potential regulation of LGD on biogeochemical processes in the eutrophic lake, and underscores the need for its consideration in environmental and ecological studies of lakes both regionally and globally.

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Background: Winter pressures are a familiar phenomenon within the National Health Service and represent the most extreme of many regular demands placed on health and social care service provision. This review focuses on a part of the pathway that is particularly problematic: the discharge process from hospital to social care and the community. Although studies of discharge are plentiful, we identified a need to focus on identifying interventions and initiatives that are a specific response to 'winter pressures'. This mapping review focuses on interventions or initiatives in relation to hospital winter pressures in the United Kingdom with either discharge planning to increase smart discharge (both a reduction in patients waiting to be discharged and patients being discharged to the most appropriate place) and/or integrated care. Methods: We conducted a mapping review of United Kingdom evidence published 2018-22. Initially, we searched MEDLINE, Health Management Information Consortium, Social Care Online, Social Sciences Citation Index and the King's Fund Library to find relevant interventions in conjunction with winter pressures. From these interventions we created a taxonomy of intervention types and a draft map. A second broader stage of searching was then undertaken for named candidate interventions on Google Scholar (Google Inc., Mountain View, CA, USA). For each taxonomy heading, we produced a table with definitions, findings from research studies, local initiatives and systematic reviews and evidence gaps. Results: The taxonomy developed was split into structural, changing staff behaviour, changing community provision, integrated care, targeting carers, modelling and workforce planning. The last two categories were excluded from the scope. Within the different taxonomy sections we generated a total of 41 headings. These headings were further organised into the different stages of the patient pathway: hospital avoidance, alternative delivery site, facilitated discharge and cross-cutting. The evidence for each heading was summarised in tables and evidence gaps were identified. Conclusions: Few initiatives identified were specifically identified as a response to winter pressures. Discharge to assess and hospital at home interventions are heavily used and well supported by the evidence but other responses, while also heavily used, were based on limited evidence. There is a lack of studies considering patient, family and provider needs when developing interventions aimed at improving delayed discharge. Additionally, there is a shortage of studies that measure the longer-term impact of interventions. Hospital avoidance and discharge planning are whole-system approaches. Considering the whole health and social care system is imperative to ensure that implementing an initiative in one setting does not just move the problem to another setting. Limitations: Time limitations for completing the review constrained the period available for additional searches. This may carry implications for the completeness of the evidence base identified. Future work: Further research to consider a realist review that views approaches across the different sectors within a whole system evaluation frame. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR130588) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 31. See the NIHR Funding and Awards website for further award information.

Every year, the National Health Service struggles with huge care demands from people with heart and lung problems. This 'mapping review' aimed to chart the evidence around what has been done to minimise winter pressures related to discharge planning, by helping people leaving hospital sooner, and by optimising integrated care (also known as 'collaborative care') and to make suggestions for future research. Good research evidence was identified for three specific approaches: Acute medical units: these units provide rapid assessment, diagnosis and treatment for adults referred by their general practitioner or the emergency department. Discharge to assess: this involves discharging patients who need care services but not an acute hospital bed. Patients are either discharged home or are transferred to an appropriate community setting with short-term funded support while their future care needs are assessed. Hospital at home: this approach provides patients with the care they need at home instead of in hospital (also known as virtual wards). The evidence for many other activities to reduce winter pressures was weaker, coming from case studies, conference presentations or small, low methodological quality (poorly designed or executed) research studies. The review identified many different initiatives with diverse names or labels and it is also important to consider how implementing an initiative in one setting might affect another setting. Further research is recommended around what works best for which patient groups, under what circumstances and why, based on common processes within the different initiatives and across the whole health and social care system.

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Developing long-lasting humidity sensors is essential for sustainable advancements in nanotechnology. Prolonged exposure to high humidity can cause sensors to drift from their calibration points, leading to long-term accuracy issues. Our research aims to develop a fabrication method that produces stable sensors capable of withstanding the environmental challenges faced by humidity sensors. Traditional iron-based nanoparticles often require complex treatments, such as chemical modification or thermal annealing, to maintain their properties. This study introduces a novel, one-step synthesis method for iron-based thin films with exceptional stability. The synthesized films were thoroughly characterized using X-ray photoelectron spectroscopy (XPS) to evaluate their phase stability and nitride formation. The method proposed in this study employs an electrical sparking discharge process within a pure nitrogen atmosphere under a 0.2 T magnetic field, producing thin films composed of nanoparticles approximately 20 nm in size. The resulting films demonstrate superior performance in humidity sensing applications compared to conventional methods. This straightforward and efficient approach offers a promising path toward robust and sustainable humidity sensors.

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The detection of electric fields in the environment has great importance for understanding various natural phenomena, environmental monitoring, and ensuring human safety. This review paper provides an overview of the current state-of-the-art technologies utilized for sensing electric fields in the environment, the challenges encountered, and the diverse applications of this sensing technology. The technology is divided into three categories according to the differences in the physical mechanism: the electro-optic effect-based measurement system, the MEMS-based sensor, and the newly reported quantum effect-based sensors. The principles of the underlying methods are comprehensively introduced, and the tentative applications for each type are discussed. Detailed comparisons of the three different techniques are identified and discussed with regard to the instrument, its sensitivity, and bandwidth. Additionally, the challenges faced in environmental electric field sensing, the potential solutions, and future development directions are addressed.

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In Hungary, possessing certain weapons (e.g. firearms, bows, air pistols, and air guns mainly over 7.5 Joule muzzle velocity) is strictly regulated. In case of firearm deaths, in our country, we usually have to consider the role of military personnel or a hunter. Getting a game license for five years is a complex procedure. Class participation in weapon training, hunter ethics, and rules, first aid, manners of hunting, wild animals' knowledge, wildlife management, game laws, etc. is compulsory besides a prosperous exam at the Hunt Authority. A psychological license is also mandatory. Through permission from the police for a firearm license, buying weapons for hunting is possible. The storage of firearms and cartridges is rigidly controlled and checked. Some special types of hunting (e.g. with a bow, bird of prey) require additional licenses. The fact and the duration of the hunt and all shoots should be registered. The authors report an extraordinary fatal hunting accident because of non-regulation rifle (Blaser R8 338) use (unintentional shot), in which the travel distance of the projectile was more than 2000 m and the victim suffered fatal injuries at his daughter's homeyard. This was a non-target, extreme long-range shot. The ethical range in hunting is within 150 m, a practiced hunter with proper precision tools can shoot accurately within 300-400 m and in extremely rare cases within 700-800 m. Military snipers can operate over a 1000 m distance. Even if this was a targeted shot (with a 2161 m range), not many professionals would have been able to aim at the target. A sequence of accidents was necessary for this fatal case. With the application of X-ray examination and a special layer-by-layer method of forensic autopsy, the bullet, the entry wound, the primary shot channel, and lethal injuries have been revealed. With the help of the found projectile and the rigorous hunting regulations, the alleged perpetrator was identified within a short time.

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Objective: To investigate the relationship between post-traumatic growth, morbidity stigma and readiness for discharge in post-operative thyroid cancer patients. Methods: 422 post-operative thyroid cancer patients from three tertiary care hospitals in Hunan and Tianjin were surveyed using the General Information Questionnaire, the Post-traumatic Growth Scale, the Readiness for Discharge Scale, and the Social Influence Scale. Results: Discharge readiness positively predicted the level of post-traumatic growth in thyroid cancer patients (P < 0.01), and morbidity stigma negatively predicted post-traumatic growth (P < 0.01), with morbidity stigma playing a mediated role between discharge readiness and post-traumatic growth. Conclusions: Readiness for discharge can positively predict post-traumatic growth, and morbidity stigma plays a mediating role between readiness for discharge and post-traumatic growth. It is suggested that clinical and nursing staff should strengthen patients' discharge readiness guidance and education, help patients and their families establish an effective feedback mechanism for disease condition and psychological cognitive condition, focus on reducing patients' sense of shame, and improve patients' physical and mental health.

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Background: Our main objective was to compare the characteristics and hospital outcomes of patients with primary and metastatic brain malignancies and to investigate the associated factors related to hospital outcomes. Methods: We conducted a retrospective, cross-sectional study of 1628 patients with brain malignancies from 8 community hospitals between 2017 and 2022 who were identified using International Classification of Disease codes. A stepwise logistic regression was used to identify demographics and clinical characteristics associated with in-hospital mortality and home discharge. Results: The median age was 65 years old, with 72.5% of patients having metastatic brain malignancies. After 7.2 days of hospital stay, 49.2% were discharged home, and 102 patients expired during hospitalization. Increased age, medical coverage by Medicare, hemiplegia or paraplegia, lower initial hemoglobin level, increased length of stay, and the use of electrolyte replacement, antibiotics, laxatives, heparin, and anticonvulsants were associated with a decreased likelihood of discharge to home. No medical insurance, Medicaid insurance coverage, comorbidities of cerebrovascular disorder, the need to stay in the intensive care unit, patient safety indicator events, and the use of antibiotics, oral analgesics, and ipratropium-albuterol were associated with increased odds of in-hospital mortality. Conclusion: We identified several predictor variables that delineate differences between both mortality risk and home discharge in patients with primary and metastatic brain tumors. Understanding these predictor variables can be helpful in improving the acute and post-acute care of this population.

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Hospice care is designed to support the medical and psychosocial needs of individuals with serious illness and their caregivers through the dying process. Some individuals, though, leave hospice prior to death, generally referred to as disenrollment or a "live discharge." Live discharge from hospice is a common and often distressing issue for hospice patients, their caregivers, and also for hospice professionals and agencies. This paper discusses common issues surrounding live discharge that clinicians and other healthcare professionals should consider when dealing with live discharge in their own clinical practices. Where applicable, we provide practical steps for hospice and palliative care clinicians to better support patients and families through this critical care transition. Further, we offer strategic directions interprofessional clinicians can take to affect systemic change to improve live discharge experiences.

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BACKGROUND: Extracting principal diagnosis from patient discharge summaries is an essential task for the meaningful use of medical data. The extraction process, usually by medical staff, is laborious and time-consuming. Although automatic models have been proposed to retrieve principal diagnoses from medical records, many rare diagnoses and a small amount of training data per rare diagnosis provide significant statistical and computational challenges. OBJECTIVE: In this study, we aimed to extract principal diagnoses with limited available data. METHODS: We proposed the OLR-Net, Object Label Retrieval Network, to extract principal diagnoses for discharge summaries. Our approach included semantic extraction, label localization, label retrieval, and recommendation. The semantic information of discharge summaries was mapped into the diagnoses set. Then, one-dimensional convolutional neural networks slid into the bottom-up region for diagnosis localization to enrich rare diagnoses. Finally, OLR-Net detected the principal diagnosis in the localized region. The evaluation metrics focus on the hit ratio, mean reciprocal rank, and the area under the receiver operating characteristic curve (AUROC). RESULTS: 12,788 desensitized discharge summary records were collected from the oncology department at Hainan Hospital of Chinese People's Liberation Army General Hospital. We designed five distinct settings based on the number of training data per diagnosis: the full dataset, the top-50 dataset, the few-shot dataset, the one-shot dataset, and the zero-shot dataset. The performance of our model had the highest HR@5 of 0.8778 and macro-AUROC of 0.9851. In the limited available (few-shot and one-shot) dataset, the macro-AUROC were 0.9833 and 0.9485, respectively. CONCLUSIONS: OLR-Net has great potential for extracting principal diagnosis with limited available data through label localization and retrieval.

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This research delves into the primary issue of polyimide (PI) insulation failures in high-frequency power transformers (HFPTs) by scrutinizing partial discharge development under high-frequency electrical stress. This study employs an experimental approach coupled with a plasma simulation model for a ball-sphere electrode structure. The simulation model integrates the particle transport equation, Poisson equation, and complex chemical reactions to ascertain microscopic parameters, including plasma distribution, electric field, electron density, electron temperature, surface, and space charge distribution. The effect of the voltage polarity and electrical energy on the PD process is also discussed. The contact point plays a pivotal role in triggering partial discharges and culminating in the breakdown of PI insulation. Asymmetry phenomena were found between positive and negative half-cycles by analyzing the PD data stage by stage. A significant number of PDs increased at every stage and the PD amplitude was higher during the negative cycle at the initial stage, but in later stages, the PD amplitude was found to be higher in the positive half-cycle, and scanning electron microscopy (SEM) revealed that the maximum damage occurred near the contact point junction. The simulation results show that the plasma initially accumulates the electron density near the contact point junction. Under the action of the electric field, plasma starts traveling at the PI surface outward from the contact point. Before the PD activity, all parameters have higher values in the plasma head. The microscopic parameters reveal maximum values near the contact point junction, during PD activities where significant damage takes place. These parameter distributions exhibit a decreasing trend over time as when the PD activity ends. The model's predictions are consistent with the experimental data. The paper lays the foundation for future research in polymer insulation design under high-frequency electrical stress.

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An arc glow discharge device was used to prepare a helical carbon fiber skeleton with helical carbon fibers hooked to each other by spraying a hydrogen and ethanol mixture onto the iron wire substrate through the discharge area, using anhydrous ethanol as the carbon source. The samples were characterized by SEM, EDS, Raman and XPS. A growth mechanism of helical carbon fiber driven by C sp3 was proposed. The various growth modes of carbon fiber during the formation of carbon fiber skeleton were investigated. A ring appearance that indicated a change in the direction of carbon fiber growth was observed. And double helical carbon fiber was constructed from single helical carbon fiber in two ways. Super-large carbon fiber with a diameter of about 13 µm was observed, and it was speculated that this super-large carbon fiber is the backbone of the carbon fiber skeleton. The mechanical properties of the carbon fiber skeleton are isotropic.

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In this work, the electrochemical and discharge properties of Mg-Zn-xSr (x = 0, 0.2, 0.5, 1, 2, and 4 wt.%) alloys used as anodes for Mg-air batteries were systematically studied via microstructure characterization, electrochemical techniques, and Mg-air battery test methods. The addition of Sr refines the grain size, changes the composition and morphology of the passivation film and discharge products, and enhances the electrochemical properties of the alloy. Excessive Sr addition breaks the grain boundaries and precipitates a large number of Sr-rich phases, resulting in microgalvanic corrosion and the 'chunk effect'. The anode efficiency of Mg-Zn-1Sr is the highest at a current density of 10 mA cm-2, reaching 61.86%, and the energy density is 2019 mW h g-1. Therefore, Sr is a microalloying element that can optimize the electrochemical performance of Mg-air battery alloy anodes.

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In order to improve the wear and corrosion resistance of Ti6Al4V alloy, a Ti-N compound layer was formed on the alloy by plasma nitriding at a relatively low temperature (750 °C) and within an economical processing duration (4 h), in a mixture of NH3 and N2 gases with varying ratios. The influence of the gas mixture on the microstructure, phase composition, and properties of the Ti-N layer was investigated. The results indicated that the thickness of the nitrided layer achieved in a mixed atmosphere with optimal proportions of NH3 and N2 (with a ratio of 1:2) was substantially greater than that obtained in an atmosphere of pure NH3. This suggests that appropriately increasing the proportion of N2 in the nitriding atmosphere is beneficial for the growth of the nitrided layer. The experiments demonstrated that the formation of the surface nitrided layer significantly enhances the corrosion and wear resistance of the titanium alloys.

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The microstructure and chemical properties of the corona discharge process could provide an effective method for predicting the performance of high-voltage cable insulation materials. In this work, the depth profile of the microstructure and chemical characteristics of corona discharge-treated PE were extensively investigated using Doppler broadening of position annihilation spectroscopy accompanied with positron annihilation lifetime spectroscopy, attenuated total reflectance Fourier transform infrared spectra, Raman spectra and contact angle measurement. By increasing corona discharge duration, the oxygen-containing polar groups, including hydroxyl, carbonyl and ester groups, strongly contribute to the deterioration of hydrophobicity and the enhancement of hydrophilicity. And the mean free volume size, with a broadening distribution, decreases slightly. The line shape S parameter decreases because of the decrease in free volume elements and the appearance of oxygen-containing groups. Also, the thickness of the degradation layer, determined from the S parameter with positron injection depth, increases and diffuses into the PE matrix. A linear S-W plot within the degradation layer of different corona treatment duration samples indicates the defect type does not change. The S parameter decreases and the W parameter increases with an increasing corona duration. Using a slow positron beam, the nondestructive probe can be used to profile the microstructure and chemical environment across the corona discharge damage depth, which is beneficial for investigating the surface and interfacial insulation materials.

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This study proposes an affordable plasma device that utilizes a parallel-plate dielectric barrier discharge geometry with a metallic mesh electrode, featuring a straightforward 3D-printed design. Powered by a high-voltage supply adapted from a cosmetic plasma device, it operates on atmospheric air, eliminating the need for gas flux. Surface modification of polyethylene treated with this device was characterized and showed that the elemental composition after 15 min of plasma treatment decreased the amount of C to ~80 at% due to the insertion of O (~15 at%). Tested against Candida albicans and Staphylococcus aureus, the device achieved a reduction of over 99% in microbial load with exposure times ranging from 1 to 10 min. Simultaneously, the Vero cell viability remained consistently high, namely between 91% and 96% across exposure times. These results highlight this device's potential for the surface modification of materials and various infection-related applications, boasting affordability and facilitating effective antimicrobial interventions.

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BACKGROUND: The integration of artificial intelligence (AI; ChatGPT 4.0) into medical workflows presents a great potential to enhance efficiency and quality. The use of artificial intelligence in the creation of discharge summaries seems particularly interesting and valid. The course of each hospitalization is described in the discharge summary, which is given to each patient and then to his general practitioner at the end of hospital treatment. An exploratory analysis of discharge summaries in psychiatric clinics underscores that these documents must fulfill diverse and specific requirements. Nevertheless, AI-generated discharge summaries offer the opportunity to optimize information transfer and alleviate the workload on physicians. METHOD: The study evaluates the quality of discharge summaries produced by clinical staff and by an AI model (ChatGPT 4.0). The clinicians involved in writing of the discharge summaries were not informed about the study's purpose or methodology. The completed summaries were subsequently assessed by four attending physicians using predefined criteria. These physicians were also blinded to the study's objectives and were unaware of the individual authors of the summaries. The evaluation criteria included consistency, completeness, and comprehensibility. Additionally, the time required to prepare these summaries and its impact on overall quality were analyzed. RESULTS: The results of the study indicate that discharge summaries generated by AI are more efficient than discharge summaries prepared by clinic staff. The AI was particularly effective in terms of coherence and information structure. CONCLUSION: Further research, training and development is needed to improve the accuracy and reliability of AI-generated discharge summaries.