Intensive Work Research Articles

Dislocation accumulation-induced strength-ductility synergy in TRIP-aided duplex stainless steel

In this study, we investigate the intrinsic mechanism of intensive and progressive transformation-induced plasticity (TRIP) effects and their different strength-ductility synergies using a resource-efficient 15Cr-2Ni duplex stainless steel. The progressive TRIP material exhibits a ductility that is more than twice that of the intensive TRIP material, as well as, a larger product of the ultimate tensile strength and ductility. This is attributed to the dislocation accumulation caused by different grain sizes of strain-induced martensite depending on the stability of the γ phase, which determines the strength and work hardening of steel. When the stability is low, the γ phase is sensitive to loaded stress and transformed into dispersed fine martensite immediately after yielding at a high rate. It induces a sigmoid-shaped dislocation accumulation to an approximately 10-fold increase in the dislocation density at a limited strain, resulting in intensive work hardening and a large ultimate tensile strength. As the stability is adequate, the γ phase is transformed into coarse martensite laths with a high critical load stress, which is initiated from a delayed strain at an extremely low rate and steadily accelerated as the strain increases. This process induces a gradually increased dislocation accumulation to a 2–3-fold increase in the dislocation density at large strains, resulting in progressive work hardening and an excellent ductility.

Hybrid and on-site working: correlation between working modality and psychophysical health.

This study investigates the psychophysical health implications of hybrid and on-site working modalities among desk workers. It focuses on how hybrid work, integrating remote and on-site elements, influences physical activity, efficiency, and overall health. The research involved 57 desk workers, evaluated using the International Physical Activity Questionnaire and accelerometers for physical activity, the Cubo Fitness Test for physical efficiency, and blood sample analyses for clinical parameters. Psychosocial traits were assessed through the General Self-Efficacy Scale, the Psychological General Well-being Index, and the Job Content Questionnaire. We analyzed: 1) the correlation between physical activity, physical efficiency, and health parameters in the entire sample of desk workers (composed both by hybrid and on-site workers); 2) differences between hybrid and on-site workers; and 3) correlations between hybrid work composition (the percentage of remote working per week) and health-related parameters. Statistical analysis showed relationships between physical efficiency, amount of physical activity, and clinical health parameters in line with the literature. Moreover, hybrid workers engaged in significantly more intense physical activities outside work hours than on-site workers. In addition, hybrid working showed better results in some components of psychosocial well-being. Despite that, no significant differences were found in clinical health parameters. A correlation analysis between hybrid work composition and all considered health-related parameters highlighted that the higher the remote working, the higher the vigorous physical activity, but the worse the psychosocial status and clinical parameters. The findings suggest that a hybrid working model could effectively support the health of desk workers if adequately balanced.

Stress resistance as an indicator of psychological readiness for professional activities of modern youth

Introduction. The problem of stress tolerance does not lose its relevance today, the concept of stress tolerance is increasingly being discussed in the discourses of the European Union and international organizations. In modern conditions, a person performs responsible tasks in a difficult environment of constant exposure to psychogenic factors: physical overloads, intense work of attention, the need for continuous analysis of rapidly changing situations and their uncertainty, etc. In this regard, the problem of the importance of stress tolerance as an indicator and a possible component of psychological readiness for professional activity of modern youth is of particular relevance. The expediency of considering a single socio-psychological aspect of readiness for professional activity, which includes an inseparable set of personal formations and a state of focus on certain actions, is emphasized. Materials and methods. The respondents were 230 students of both sexes, the average age was 21 ± 2.3 years. The following diagnostic methods were used: S. Muddy's resilience test (adapted by D. A. Leontyev, E. I. Rasskazova), a stress resistance test that reveals the current level of stress (Boston stress resistance test), a method for diagnosing coping behavior in stressful situations (S. Norman, D. Endler, D. James, M. Parker), K. Zamfir’s technique modified by A.A. Reana “Motivation for professional activity”; questionnaire of volitional self-control A.G. Zverkov, E.V. Eidman (VSK), “Self-Confidence Scale” S. Reizas. The statistical reliability of the results is ensured by using the following procedures: descriptive statistics (analysis of intragroup means and standard deviations), Student's t-test. Results. The study found that 50% of students in group 1 (with a low level of resilience) have a reduced level of stress resistance, 50% of students in group 2 (with an average level of resilience) and 57.2% of group 3 (with a high level of resilience) have an average level of stress resistance. It was also established that the proper level of internal motivation, volitional self-control and assertiveness was revealed in the subjects with the highest stress resistance indicators. That is, the higher the stress tolerance indicators, the more effectively a person will be able to cope with difficulties and problems that arise on his way to the goal, the more likely he will make every effort to achieve a successful result and enjoy it. Conclusion. The results obtained suggest that the ability to withstand stress will allow a young specialist not only to cope with difficulties and problems that arise on his way to the goal but also to attach less importance to external circumstances which can have a positive impact on future professional activities.

Physical Activity in Emergency Department Workers: An Example of Intensive and Stressful Work Environment

This study was planned to reveal the attitudes of emergency department workers towards sports and the main factors affecting these attitudes. Method: The study involved 270 healthcare workers employed at a university hospital in Ankara. Data collection tools included socio-demographic characteristics and the Attitude Towards Sports Scale. Data were collected online between 08.07.2024 and 28.07.2024. An independent samples t-test was used to examine the differences between the age, gender, and marital status of the participants and the scale used. One-way ANOVA was used to analyze the differences between education level and title variables and the scale used. Results: The mean total scale score was 80.19±25.20. Male participants had significantly higher total scale scores, Sport with Life sub-dimension scores, and Active Sports Participation sub-dimension scores than female participants (p

Bibliography and research of the press of the Communist Party of Lithuania of 1917-1940

The press of the Communist Party of Lithuania from 1917 to 1940 holds a significant place in the history of Lithuanian press. The scope of this research is quite extensive, covering about 1,100 books and booklets, 413 periodicals, and several thousand appeals. The research on this subject began in 1947. Currently, more than 10 researchers are actively working on this topic. Hundreds of articles dedicated to this subject have been published in selected scientific works such as "Book Research" ("Knygotyra"), "The Problems of the LCP History" ("LKP istorijos klausimai"), and "Journalistics" ("Žurnalistika"). About 8 theses have been defended, but only a small portion of this material has been published—just 2 works, and not completely. The main peculiarity of this research is the use of both bibliographical and historical approaches. The most intensive work of this kind began in the 1960s and was further developed in the 1980s, culminating in the bibliographical works "The Press of the CP of Lithuania 1917-1940. Volumes 1-2." The problems surrounding the publication of the classics of Marxism-Leninism are analyzed in separate, more detailed articles. The primary challenge at present is to generalize the history of the CP press of Lithuania in a monographic study.

Mpox 1b: Upstanders for Science in Western and Chinese Social Media

At the beginning of the COVID-19 pandemic, scientific literature published research about the presence of hoaxes and evidence in diverse social media, with a huge scientific and social impact. The main results showed that while in Western social media like X there was more false information and less scientific evidence than in the Chinese platform Weibo, but scientific evidence was more retweeted than hoaxes. This research allowed the identification of social activists for science in the social media, who multiplied their impact when scientists provided them with evidence. Third, thanks to the very intense and dialogic work of a diversity of researchers. Mpox clade 1b outbreak, which has now been declared a global public health emergency by WHO, requires a fast reaction from science, already taking place. This article analyzes information disseminated in X and Weibo about mpox. 3089 messages published between 12 and 16 of August 2024 have been analyzed. The results show that while hoaxes around mpox are prevalent in social media, posts containing scientific evidence do receive more interaction. Such findings contribute to the understanding of the health crisis and underscore the need for health authorities to join efforts with citizens to co-create evidence-based communication strategies.

On the suitability of dispersion models of varying degree of complexity for air quality assessment and urban planning

The development of integrated urban services requires the implementation of informative tools that provide a balance between quality, time and costs for air quality assessment. Within this framework, three modeling techniques with different levels of complexity were compared during a winter inversion episode against PM10 concentrations measured in a built-up area in Prague (Czech Republic) characterized by heavy traffic. Although the Gaussian model ATEM satisfied the common statistical-performance criteria, the predictions poorly represented the spatial variability of concentrations in the study domain. The Lagrangian model GRAL provided a better simulation of the effects of terrain and vortice formation inside street canyons, but tended to overpredict the influence of these phenomena. Finally, the most sophisticated of the three models, the Large-Eddy Simulation model PALM, demonstrated the best performance based on an exhaustive analysis of the model outputs in the temporal and spatial dimensions. After model comparison, a sensitivity test of the selected models to the driving meteorology and emissions inputs was carried out. While advanced models can simulate complex urban environments, their suitability for use in urban planning is subject to further considerations, such as computational cost, user expertise, and the usefulness of the output. Thanks to increasing computation power and intensive work on the entire modeling chain, sophisticated models could become routine tools for use in regulatory applications, contributing to future integrated urban service provision.

Evaluating annual thermal discomfort time ratio of indoor occupants caused by solar radiation using a novel model

Thermal comfort of indoor occupants exposed to solar radiation is receiving widespread attention. Researchers have proposed many models to predict solar radiation and related indexes are used to evaluate thermal comfort. However, there are some limitations in the existing solar radiation models and evaluation indexes, such as only applying to sunny weather and requiring intensive modeling work. This study adopts a mathematical model called the improved HNU Solar Model and proposes a new evaluation index called the annual thermal discomfort time ratio by solar radiation (ratiotd, solar) to evaluate thermal comfort of indoor occupants exposed to solar radiation. The effects of different window parameters, i.e. window direction, window transmittance (Tsol) and window-to-wall ratio (WWR) on ratiotd, solar were also analyzed. The results show that the indoor area less than 2.0 m away from the window is easy to have solar discomfort. And for every 0.1 reduction in WWR, the average values of the four directions are reduced by 3% to 4%; and for every 0.1 reduction in Tsol, the ratiotd, solar values of four window directions are reduced by 4% to 6%. This study provides references for evaluating and optimizing the window design to create thermally comfortable environments for indoor occupants.

Stress and Sleep Deprivation Experienced by Bus Drivers of Government Bus Depots in an Urban Area of Chengalpattu District in South India.

Background Driving a bus is far more stressful than other professions. Bus drivers also take more sick leave than other workers because of the physical and mental demands of their employment. Bus drivers are especially vulnerable because of their intense work environment, poor sleep, and poor food pattern. The aim of the study was to assess stress and sleep deprivation of the government bus drivers in Chengalpattu District in Tamil Nadu and to identify the sociodemographic factors influencing them. Methodology An analytical cross-sectional study was conducted among 429 government bus drivers working under Tamil Nadu State Transport Corporation (TNSTC )in selected government bus depots in the urban area of Chengalpattu District in Tamil Nadu, India. The principal investigator collected the data by using a semi-structured questionnaire which comprises six parts, i.e., sociodemographic variables, job-related factors, comorbidity, habits, stress assessed by using the Perceived Stress Scale (PSS-10), and sleep deprivation assessed by using the Epworth Sleepiness Scale (ESS). Results In the present study, the mean age of participants was 47.683 years. Hindus comprise 95.3% of the sample, and 96.7% are married. Approximately 47.6% of the drivers have achieved a higher secondary education. The average time spent working as a heavy vehicle driver was 20.4 years. About 37.1% (159 individuals) have hypertension, making it the most prevalent comorbidity. In this study, 47.3% (203 participants) reported very poor sleep, 35.7% (153 participants) reported average sleep, and 17.0% (73 participants) reported good sleep. Inferential statistics revealed that those drivers who were degree holderstook less than three breaks in duty time, slept over six hours at night, had the habit of smoking and drinking alcohol, and took more than 60 minutes to fall asleep experienced very poor sleep according to the ESS. In this study, 57.1% (245 participants) reported moderate stress levels, 24.2% (104 participants) showed high levels of perceived stress, and 18.6% (80 participants) reported low stress levels. Inferential statistics revealed that those drivers who were Muslims, degree holders, those with primary education, smokers, alcohol consumers, drivers with very poor sleep, and those who took more than six days of casual leave in the past six months experienced high stress according to the PSS-10. Conclusion Implementing effective health management strategies and minimizing work-related stress will lead to a decrease in work-related disorders among drivers. TNSTC should ensure enough lodging facilities for drivers at depots, bus terminals, and outstations. They require a minimum of eight hours of sleep every day to maintain optimal physical well-being.

Assessment of the degree of disability of the Polish NBIA-MPAN population based on a patient survey

Neurodegeneration with brain iron accumulation (NBIA) describes a group of extremely rare hereditary disorders with an estimated prevalence of 1–3/1,000,000. Mitochondrial membrane protein associated neurodegeneration (MPAN) is the third most common form of NBIA, accounting for 10% of NBIA cases globally and up to 50% of cases in Poland. This survey was conducted by the Association NBIA Poland to collect data on the functioning of patients with NBIA/MPAN based on self-reported EQ-5D-5L (EuroQoL 5-Dimension 5-Level) scores. A total of 50 patients living in Poland, including 26 patients with NBIA/MPAN, participated in the study. The mean age of NBIA/MPAN patients was 22 years; the mean age at symptom onset is 10 years. At the time of the survey, most patients were disabled and required assistance with daily activities. More than 50% of participants needed help with hygiene or dressing, and 40% were unable to walk on their own. Nearly 50% of patients declared symptoms indicating lowered mood. The survey showed that NBIA/MPAN leads to significant disability within a short period of time after symptom onset. Intensive work is underway to discover the role of the C19orf12 protein and develop therapeutic strategies. Actions are necessary to improve the comfort of everyday life of patients with NBIA/MPAN and to improve access to rehabilitation, including home-based programmes.

The Effect of Coronavirus (COVID-19) on Job Satisfaction, Work Stress and Burnout of Healthcare Workers: A Systematic Review and Meta-Analysis.

We aimed to examine the job satisfaction (JS), work stress (WS) and burnout (B) levels of healthcare workers (HCWs), who are at the forefront of the fight against the coronavirus (COVID-19) epidemic process, which negatively affects the whole world, by meta-analysis. Articles, theses and papers in the literature before the COVID-19 (2014-2019) and during COVID-19 (2020-2022) were systematically reviewed. The sample size of 54 studies conducted from 13 countries was 49.139. Data analysis was performed with the Comprehensive Meta-analysis (CMA) 3.0 Version program. According to the random effect model analysis result, a negative, significant and low-level relationship was found between WS and JS, before and during COVID-19. There was a negative, significant and medium level relationship between JS and B. It was found positive, significant and high-level relationship between WS and B. Human development level (HDL) has a moderating effect on WS and B. In addition, sample size has moderating effect on WS and JS. During the prolonged COVID-19 pandemic, HCWs have experienced more burnout due to strict isolation, working conditions requiring overtime, fatigue, insomnia and concerns about virus transmission. Intense work tempo, inadequate health equipment, patient deaths, and low wages are the factors that decrease JS and increase WS and B. It is recommended to improve working conditions globally and provide financial support and mental health protection for HCWs.

APPLICATION OF 0-1 INTEGER GOAL PROGRAMMING FOR SHIFT SCHEDULING OF MEDICAL STAFF IN LABORATORY DEPARTMENT

With the increase in population, hospitals are the institutions with the most intensive shift work. When scheduling shifts in hospitals, it is difficult to create a balanced shift schedule for each staff by taking into account constraints such as the working conditions of the hospital, the satisfaction of patients, staff and the hospital, and the wishes of staff in terms of days off, holidays , etc. as well as different objectives. The aim of this study is to optimally plan the shift schedule for medical staff in the laboratory department. The shift schedule of the laboratory department of a government hospital in Gümüşhane in November 2022 was used for the study. According to the working conditions and shift schedule of the hospital, a 0-1 integer goal programming model is established. The optimal shift schedule was obtained as a result of analyzing the model by coding it in the GAMS 42.5.0 program.

Real‐world evaluation of interconsensus agreement of risk of bias tools: A case study using risk of bias in nonrandomized studies‐of interventions (ROBINS‐I)

AbstractBackgroundRisk of bias (RoB) tools are critical in systematic reviews and affect subsequent decision‐making. RoB tools should have adequate interrater reliability and interconsensus agreement. We present an approach of post hoc evaluation of RoB tools using duplicated studies that overlap systematic reviews.MethodsUsing a back‐citation approach, we identified systematic reviews that used the Risk Of Bias In Nonrandomized Studies‐of Interventions (ROBINS‐I) tool and retrieved all the included primary studies. We selected studies that were appraised by more than one systematic review and calculated observed agreement and unweighted kappa comparing the different systematic reviews' assessments.ResultsWe identified 903 systematic reviews that used the tool with 51,676 cited references, from which we eventually analyzed 171 duplicated studies assessed using ROBINS‐I by different systematic reviewers. The observed agreement on ROBINS‐I domains ranged from 54.9% (missing data domain) to 70.3% (deviations from intended interventions domain), and was 63.0% for overall RoB assessment of the study. Kappa coefficient ranged from 0.131 (measurement of outcome domain) to 0.396 (domains of confounding and deviations from intended interventions), and was 0.404 for overall RoB assessment of the study.ConclusionA post hoc evaluation of RoB tools is feasible by focusing on duplicated studies that overlap systematic review. ROBINS‐I assessments demonstrated considerable variation in interconsensus agreement among various systematic reviewes that assessed the same study and outcome, suggesting the need for more intensive upfront work to calibrate systematic reviewers on how to identify context‐specific information and agree on how to judge it.

Improving the uniform elongation of ultrafine-grained pure titanium through judicious allocation of work hardening

Improving uniform elongation in metals typically involves enhancing the work hardening rate, as elevated work hardening can delay necking and fracture. However, our investigation into commercial pure titanium reveals a counterintuitive relationship between these properties. We find that high uniform elongation correlates with low work hardening capability, while a high work hardening rate results in reduced ductility. Two types of ultrafine-grained pure titanium, prepared by rotary swaging, subsequent rolling, and annealing, exhibit different mechanical properties. Microstructural and deformation mechanism analyses reveal that the difference arise from variations in texture. Specifically, extensive activation of <c+a> dislocations in the former sample leads to premature, intense work hardening that is quickly exhausted, while the latter sample shows a steady, uniform work hardening progression that delays necking. Our findings challenge the conventional understanding that high work hardening rates ensure high uniform elongation. Instead, we propose that optimizing ductility requires a strategic allocation of work hardening throughout the tensile deformation to delay necking. This study reveals the intrinsic relationship between work hardening and ductility, offering new strategies for designing stronger and tougher materials.

How can we quantify, explain, and apply the uncertainty of complex soil maps predicted with neural networks?

Artificial neural networks (ANNs) have proven to be a useful tool for complex questions that involve large amounts of data. Our use case of predicting soil maps with ANNs is in high demand by government agencies, construction companies, or farmers, given cost and time intensive field work. However, there are two main challenges when applying ANNs. In their most common form, deep learning algorithms do not provide interpretable predictive uncertainty. This means that properties of an ANN such as the certainty and plausibility of the predicted variables, rely on the interpretation by experts rather than being quantified by evaluation metrics validating the ANNs. Further, these algorithms have shown a high confidence in their predictions in areas geographically distant from the training area or areas sparsely covered by training data. To tackle these challenges, we use the Bayesian deep learning approach “last-layer Laplace approximation”, which is specifically designed to quantify uncertainty into deep networks, in our explorative study on soil classification. It corrects the overconfident areas without reducing the accuracy of the predictions, giving us a more realistic uncertainty expression of the model's prediction. In our study area in southern Germany, we subdivide the soils into soil regions and as a test case we explicitly exclude two soil regions in the training area but include these regions in the prediction. Our results emphasize the need for uncertainty measurement to obtain more reliable and interpretable results of ANNs, especially for regions far away from the training area. Moreover, the knowledge gained from this research addresses the problem of overconfidence of ANNs and provides valuable information on the predictability of soil types and the identification of knowledge gaps. By analyzing regions where the model has limited data support and, consequently, high uncertainty, stakeholders can recognize the areas that require more data collection efforts.

Implementasi Penggunaan Aplikasi Hadirr pada PT. XY

XYZ, is a company engaged in land transportation, distribution of building materials, production of mining materials, and trading of industrial goods. In the current era of globalization, it brings changes to all aspects of life. The development of information technology encourages people to use technology, one of which is the use of online attendance system technology implemented by PT. XYZ is the “Hadirr” application. This research discusses the implementation of the use of the presence application at PT. XYZ aims to find out how disciplined employees are in taking online attendance. This type of research is descriptive qualitative research, research involving 5 informants through observation, interviews and documentation, this identifies factors such as lack of employee discipline, misuse of applications so that employee discipline that has been implemented by the company is less effective. Employee work discipline can be seen from employee compliance in complying with applicable regulations, including punctuality and responsibility for their work. To overcome this problem, companies can provide rewards as a form of appreciation for work, provide additional intensive work, and provide intensive supervision. These steps can improve the employee discipline process so that the company can achieve the desired goals Keywords: Hadirr Application, Discipline, Employee

Determination of trace elements in superalloys by inductively coupled plasma mass spectrometry with micro-reaction pretreatment

Due to complex pretreatment processes and the consumption of large amounts of high-purity chemical reagents, traditional analytical methods for determining trace element concentrations in superalloys face severe challenges. In this paper, a micro-reaction pretreatment method was developed by using a micro-reaction sealed digestion vessel under micro-pressure. The mass of the samples and the volume of acid used to dissolve the superalloys were significantly reduced. The appropriate amount of digestive acid for micro-reaction and three generalized pretreatment methods were studied. The quantitative dilution process was optimized to minimize errors through meticulous weighing procedures using a high-precision balance, and the homogeneity of the samples was verified by using Ni-based superalloy standards and general samples. Sc, Rh, and Re were selected for internal standard correction, and the matrix effect was corrected by the matrix matching method. Moreover, the mass spectral interference caused by polyatomic ions was eliminated by He collision mode. The linear correlation coefficients of the calibration curves were above 0.9995, with linear coefficients ranging from 0.2 to 100 ng/g. The detection limits for the method ranged from 0.0042 to 0.13 μg/g, and the quantification limits ranged from 0.014 to 0.41 μg/g. The results showed the precision and reliability of the newly established green micro-reaction pretreatment scheme for the determination of Ga, As, In, Sn, Sb, Tl, Pb, and Bi in nickel-based superalloys together with inductively coupled plasma mass spectrometry. The micro-reaction test results of the various groups were consistent with those of the traditional methods, and the relative standard deviation (RSD, n = 11) was less than 10 %. In addition to reducing acid consumption and increasing the test solution utilization rate by ten times, the micro-reaction method was much more accessible from cross-contamination and intensive manual work, so it has shown great potential for application in intelligent and automatic batch testing of trace elements in superalloys.

Dynamic changes of complete blood cell count parameters among airport workers during the COVID-19 pandemic in Chongqing, China: A retrospective longitudinal study

Background and aimsThis study aimed to examine the dynamic changes in the complete blood counts of airport staff from 2019 to 2021 and assess the impact of the coronavirus disease 2019 (COVID-19) on their overall health status during the first pandemic wave. Materials and methodsA total of 2144 airport staff members from Chongqing Jiangbei International Airport who underwent health examinations for three consecutive years from 2019 to 2021 were recruited for this study. Venous blood samples were collected for a complete blood cell count. ResultsChanges were observed in blood routine parameters from airport staff over three consecutive years. After adjusting for age, body mass index, and systolic blood pressure, the red blood cell count decreased consecutively during the COVID-19 pandemic. Hemoglobin and basophil counts decreased significantly during COVID-19 year 1. Lymphocyte and platelet counts decreased, whereas the monocyte-to-lymphocyte ratio increased in COVID-19 year 2. However, the white blood cell count, neutrophil count, neutrophil-to-lymphocyte ratio, and eosinophil count did not change from 2019 to 2021. ConclusionThis study showed changes in complete blood counts in frontline airport workers, especially men, during the COVID-19 pandemic. Therefore, paying more attention to the overall health conditions and immune function of airport staff engaged in intensive work is necessary.

The level of volunteer activity as an indicator of the effectiveness of management of the non-profit sector of the economy

The article analyzes changes in the level of volunteer activity in Russia, which is considered as one of the key indicators of the effectiveness of socially oriented non-profit organizations. The results of the study reveal a significant asymmetry in the level of volunteer activity in the federal districts — thus, recently there has been a nine-fold difference in the number of volunteers per 1000 people between the Central and Southern Federal Districts. according to the results of the last period, there is a nine-fold difference in the number of volunteers per 1000 people between the Central and Southern Federal Districts. Based on the results of the study, the need to continue intensive work with young people to increase volunteer activity is noted, and the conditions for increasing the volunteer potential of older groups of the population are determined.

Organization and operation of multi particle therapy facilities: the Marburg Ion-Beam Therapy Center, Germany (MIT)

PurposeThe Marburg Ion-Beam Therapy Center (MIT) is one of two particle therapy centers in Germany that enables the treatment of patients with both protons and carbon ions. The facility was build by Siemens Healthineers and is one of only two centers worldwide built by Siemens (Marburg, Germany and Shanghai, China). The present report provides an overview of technical and clinical operations as well as research activities at MIT.MethodsThe MIT was completed in 2011 and uses a synchrotron for accelerating protons and carbon ions up to energies of 250 MeV/u and 430 MeV/u respectively. Three treatment rooms with a fixed horizontal beam-line and one room with a 45 degree beam angle are available.ResultsSince the start of clinical operations in 2015, around 2.500 patients have been treated at MIT, about 40% with carbon ions and 60% with protons. Currently around 400 patients are treated each year. The majority of the patients suffered from benign and malign CNS tumors (around 40%) followed by head and neck tumors (around 23%). MIT is actively involved in clinical studies with its patients. In addition to clinical operations, there is active research at MIT in the fields of radiation biology and medical physics. The focus is on translational research to improve the treatment of H & N carcinomas and lung cancer (NSCLC). Moreover, intensive work is being carried out on the technical implementation of FLASH irradiation for research purposes.ConclusionThe MIT is one of two centers worldwide that were built by Siemens Healtineers and has been successfully in clinical operation since 2015. The service provided by Siemens is guaranteed until 2030, the future after 2030 is currently under discussion.