dataesr/scientific-paragraphs-categorization huggingface dataset:
Here, 182 Bloch bands on the 8 × 8 × 8 k-grid were taken into account to obtain a 52-orbitals tight-binding model, where the Eud, Ni-s, p, d and Ge-s, p orbitals were used as the trial localised orbitals. Based on the obtained tight-binding model, the Fermi surfaces are drawn by FermiSurfer package  65  with the eigenvalues evaluated on 96 × 96 × 96 k-grid. For the calculations of spin-spin interaction J(q), we used the Wannier interpolation for the ferromagnetic solution of the SDFT + U calculations, where U = 6. 7 eV and J = 0. 7 eV were added into the Eu-4f orbital. Here, 184 Bloch bands on the 8 × 8 × 8 k-grid were used to obtain a 66-orbitals tight-binding model, where the trial orbitals of Eu-d, f, Ni-s, p, d and Ge-s, p were used. The total and orbital resolved spin-spin interactions J(q) were then calculated by the local force method as implemented in refs.
Acknowledgements We thank  I. Plokhikh  for support with single crystal X-ray diffraction characterisation of the samples studied in this work. This work is based partly on experiments performed at the  Swiss Spallation Neutron source SINQ ,  Paul Scherrer Institute, Villigen, Switzerland  and the  Institute Laue-Langevin, Grenoble, France. We thank the  Crystal Growth Facility (EPFL) , the  Laboratory for Mesoscopic Systems (ETH Zürich)  and the  Laboratory for Multiscale Materials Experiments (PSI)  for providing access to the magnetometers. We acknowledge funding from the  Swiss National Science Foundation (SNSF)  through project grant  200021_188707  (D. S. , V. U. , S. H. M. , P. R. B. , J. S. W. ),  200020_182536  (P. R. B. ) and the  Sinergia Network "NanoSkyrmionics " grant no. CRSII5_171003  (V.
U. , J. S. W. ). Y. F. acknowledges funding from a  JSPS Grants-in-Aid for Scientific Research Grant  No. 22K14011. S. H. acknowledges funding from  JSPS KAKENHI  Grants Numbers  JP21H01037 ,  JP22H04468 ,  JP22H00101 ,  JP23H04869  and  JST PRESTO  Grant Number  JPMJPR20L8. T. N. acknowledges support from  JST PRESTO  Grant Number  JPMJPR20L7. R. A. acknowledges funding from  JSPS KAKENHI  Grants Numbers  19H05825  and  21H04437. N. K. and J. S. W. acknowledge financial support from the  ETH Zürich Research Partnership  Grant  RPG 072021_07.
Data availability The data presented in the figures that support the findings of this study are available either at the Zenodo online repository with identifier https://doi. org/10. 5281/zenodo. 10222231, or from the corresponding authors upon reasonable request. The raw neutron scattering data obtained using the D33 instrument at the ILL can be obtained at https://doi. org/10. 5291/ILL-DATA. 5-41-1202.
Conclusion: The 360 platform provided immersive virtual infection control training to SPRT members during a time when in-person biocontainment unit training was challenging. A future application of the platform may be SPRT just-in-time training prior to reporting for duty in the event of BCU activation. Introduction: Every 3 s, someone in the world dies of sepsis. Globally, sepsis claims 11 million lives a year. Objectives: The aim of our study is to develop a clinically relevant liquid biopsy for sepsis diagnosis by leveraging mRNA expression profiles. Methods: We utilized transcription profile data consisted of 34 sepsis and 36 non-sepsis samples (http:// www. ncbi. nlm. nih. gov/ geo/ query/ acc. cgi? acc = GSE12624). The dataset encompassed 8,519 attributes, representing 7,672 genes after preprocessing of the mRNA expression profile data.
To analyze the dataset, we employed a modified version of the causal inference HEISA algorithm, a two-stage local learner. Features with a causal effect greater than 0. 2 were selected at the end of the second stage. Following the selection of mRNA expression features, we applied Random Forest and K-means algorithms to assess the ability of the selected variables in identifying the occurrence of sepsis. Introduction: Despite the implementation of strict infection control measures in hospitals during the COVID-19 pandemic, there are numerous reports about an increased incidence rate of hospital aquired MDRO. Reasons given are the increase of antibiotic consumption, the reduced detection of MDRO with subsquent transmission, combined with the decrease of hand disinfectant (HD) consumption by health care workers.
Objectives: The aim of the study was to determine the prevalence of ESBL and carbapenemase-producing Enterobacteriaceae among participants with SSI. Methods: A hospital-based cross-sectional study was conducted from 1 May to 15 July 2022 in two big hospitals, in Northwest Ethiopia. A convenient sampling technique was used to include 241 study participants. Data on socio-demographics and clinical characteristics were collected using a structured questionnaire. Besides, wound swabs were collected for bacteriological culture and antimicrobial susceptibility testing (AST). AST, ESBL, and carbapenemase detection, and interpretation were done based on the Clinical Laboratory Standards Institute guideline. Data were entered into SPSS version 25 for analysis. Logistic regression was done to identify factors associated with SSI.
P21 Analysis of risk factors for postoperative infection in patients with colorectal cancer H. Zhuang 1,* Introduction: In France, severe or uncommon healthcare associated infections (HCAI), according to microorganism (MO), location, associated death, or clustered cases, should be mandatory notified to health authorities. Objectives: To describe the HCAI which has been reported in surgery facilities for the last 10 years. Methods: HCAI notifications were extracted from the national notification database between 2011 and 2022. Colonization, communityacquired infections and Covid-19 clusters were excluded from the analysis. Notifications were studied at two levels: surgical site infections (SSI) or not ("non-SSI") and cluster (CC) or isolated cases (IC). Results: Overall, 2,107 notifications were analyzed included 59% of SSI and 41% of non-SSI.
Data collection was carried out between 1st February and 10th April. 2017 with a follow-up up to + day 30. The SSI diagnosis was established according to the criteria of the CDC Atlanta. Data entry and analysis was done on the Epi Data Entry 3. 02 and Epi Data Analysis software. Results: A total of 200 interventions were included. The average age is 41 + / -12 years old. 49% had an ASA score = 1, the average length of stay was 6. 77 + / -7. 48 days. The percentage of patients reviewed on D + 30 was 91. 5%. More than two thirds of the interventions were clean contaminated (71%), 44% of operated had a score of NNIS = 1 and almost a quarter of the interventions carried out in emergency (22. 5%). The SSI's incidence is 6. 5% (12 patients), the average age of infected patients was 41. 44+/-9. 56 years and mean time to onset of infection is 6.
Introduction: A survey was performed in six hospitals, in Belo Horizonte (3 millions inhabitants), on surgical site infection (SSI), between July 2016 and June 2018, in patients undergoing to two surgery procedures: orthopedic trauma (OT) and prosthetic(P). Objectives: Statistically evaluate and compare such incidences and enable an analysis of the predictive power of SSI, through MLP (Multilayer Perceptron) algorithm. Methods: A data collection on SSI was carried out, thus, three procedures were performed: a treatment of the database collected for use of intact samples; a statistical analysis on the profile of the collected hospitals and; an evaluation of the predictive power of five types of MLPs (Backpropagation Standard, Momentum, Resilient Propagation, Weight Decay and Quick Propagation) for SSI prediction.
The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation). They were compared by measuring the AUC (Area Under the Curve-from 0 to 1) for each of the configurations. Results: From 23,464 (P) and 2035 (OT) records, 11,765 (P) and 1412 (OT) where able for analysis. Statistically, was evaluetad: average age: 38 (OT) and 47 (P) years; average surgery time:107 (OT) and 156 (P) minutes; death rate reached: 3. 7%(OT) and 1. 57 (P) and the SSI rate reached 2. 4%(OT) and 1. 29%(P). A maximum AUC of 0. 594 (OT) and 0. 7 (P) was found.
Introduction: Between July 2016 and June 2018, in Belo Horizonte (3 millions inhabitants), a survey was performed in five hospitals, about surgical site infection (SSI) in patients undergoing to three surgeries procedures: explorer laparotomy (EL), emergency surgeries (E) and small intestine (SI). Objectives: Statistically evaluate and compare such incidences and evaluate the SSI predictive power, through MLP (Multilayer Perceptron) algorithms. Methods: A data collection on SSI was performed, followed by: the database's treatment; a statistical analysis and an assessment of the SSI predictive power of five types of MLPs (Backpropagation, Momentum, Resilient Propagation, Weight Decay and Quick Propagation). The MLPs were tested with 3, 5, 7 and 10 neurons in the hidden layer and with a division of the database for the resampling process (65% or 75% for testing, 35% or 25% for validation).
Methods: The analysis was carried out based on an anonymized database of the National Health Fund (NFZ), including 83 525 patients over 18 years of age undergoing HPRO or KPRO in 2017. Data include only procedures performed within the general health care system, identified on the basis of ICD-9 codes: 81. 51-55, 00. 7 or 00. 8. A diagnosis of UTI was made based on the ICD-10: N30. 0, N30. 9 and N39. 0, up to 30 days after surgery. In the statistical analysis, relative and absolute frequencies were used for nominal variables and the mean value with standard deviation for quantitative variables (age). Chi2 test and Student's t-test were used to compare the groups of patients (hip vs. knee arthroplasty). Results: Among 56,068 patients undergoing HPRO procedures, there were 415 UTIs, an incidence rate of 7/1000 patients, and among 27,457 patients after KPRO, there were 135 cases of UTI, an incidence rate of 5/1000 patients.
Methods: The study was conducted in Siha District, Kilimanjaro Region using a cross-sectional pre-and post-study design. Cluster sampling was used to select households from the four villages in the district. The quantitative approach was used in this study. The postintervention data were collected using interviewing and observation methods to assess the coverage and use of improved sanitation facilities and factors for its sustainability. All objectives were analyzed using Statistical Package for Social Sciences version 21 (SPSS).
Methods: On April 20th, 2023 we carried out searches in the databases Medline via Pubmed, Web of Science and CINAHL in accordance with the PRISMA guidelines. The search was limited to German and English publications. RAYYAN was used to remove duplicates. Afterwards, abstract and full-text screening was performed by five reviewers. The data was then extracted and cross-checked. Results: Of the 713 found records, 27 were included. Hierarchical leadership styles were reported to impact pandemic responses negatively (n = 7). They were identified as barriers even causing moral injuries through betrayal of trust or morally questionable decisions without clear leadership. Recommended were leadership styles, such as transformational, transactional, agile or servant leadership (n = 10). Regardless of the specific approach, supportive, clear, and visible leadership has been shown to have a positive influence on healthcare workers (n = 14).
Binary logistic regression model was used to assess associated factors. SPSS software was used for data entry and statistical analysis. Results: A total of 169 patients were sampled, with a mean age of 46. 8 ± 22 and a sex ratio of 0. 9. One-quarter of hospitalized patients had an infection, with 15. 3% being HAIs. Patients diagnosed with HAIs were predominantly admitted at surgical departments (72%) and 22% of them were admitted in Intensive Care Units. "Diabetes", "Obesity", and "Hospitalization within the last year" were the most commonly found intrinsic risk factors (26%, 10% and 20. 1% of patients respectively). After binary logistic regression, the identified related factors to HAIs were: Hospitalization more than 10 days, antibiotics taken during the last 3 months, as well as urinary catheterization (OR = 3.
6 [1. 03-12], p = 0. 04 in 2019 vs OR = 3. 9 [1. 4-11], p = 0. 008 in 2022) and antibiotics taken Introduction: Due to the COVID-19 pandemic, infection prevention and control measures have gained significant attention worldwide, including intra-hospital hygiene. As healthcare facilities adapt to the new normal, the need to address healthcare-associated infections (HAIs) has become even more crucial in both developed and developing countries, including Tunisia. Objectives: We aimed to assess prevalence and risk factors of HAIs in Taher safar-Mahdia University Hospital. Methods: A six-day HAIs point-prevalence survey was conducted at Mahdia University Hospital in Tunisia from March 13th to 18th 2023. Data were collected exhaustively from medical records of all hospitalized patients. Binary logistic regression model was used to assess the associated factors.
Statistical analysis was performed using SPSS software. Results: A total of 308 patients were recruited, with a mean age of 48. 9 ± 22 years old and a sex ratio of 1. 7. The leading cause for hospitalization was respiratory illnesses (25. 5%). One half of hospitalized patients had HAI (50. 3%). Among those patients, 53% were admitted to Intensive Care Units and 18. 7% were admitted to surgical ones. Acinetobacter was identified in nearly 10% of the isolated pathogens. Amoxicillin-Clavulanic Acid was the most frequently prescribed antibiotic for the treatment of HAIs (29. 9%). The most prevalent intrinsic risk factors were diabetes, hypertension, and cigarette smoking (24%, 20% and 19. 7% respectively). In multivariate analysis, independently associated risk factors to HAIs were: recent surgery within the past 30 days (OR = 11 [2-59], p = 0.
Four county refferal hospitals were selected and M&E teams identified and trained. Data collection tools were distributed to the hospitals. Data was collected between July 2022 and December 2022 and uploaded to the KHIS from where it was analyzed for simple frequencies. Results: All the four county referral hospitals reported on the IPC indicators. Data was received for both hand hygiene compliance and post-caesarean section SSI. The average hand hygiene compliance rate was 51. 4% with compliance before contact with a patient being 41. 4% and that after contact being 61. 1%.
Objectives: The aim of this study was to determine independent factors of HAI in a Tunisian university hospital in 2021. Methods: An observational prospective survey was conducted in the medical and surgical ICU of a tertiary hospital. All admitted to the ICU between August 1st and October 31st, 2021, were included. The onset of infection within 48 h of hospitalization was used to define HAI. Data collection was carried out using a synoptic grid based on the NosoTun sheet. = 16. 4 [7. 5-35. 5] ) and history of surgeryduring the month  (OR 1. 95; ).
Objectives: The aim of this study was to find out the types of pathogens and to determine their antibiotic resistance. Methods: This retrospective record-based cross-sectional study was conducted from january 2020 to june 2021 performed in medical biologic service in university hospital of Angre. Bacteriologic data concerned hospitalized patients. Susceptibility of Antimicrobial agents was tested on Vitek 2 Susceptibility cards. Results: Among 173 samples, 86 were positive (49. 71%). The positive blood isolate was the most prevalent infection site (67. 44%) followed by urine isolates (13. 95%), suppuration (5. 81%) and pleurisy (5. 81%). Gram-negative bacilli (61. 62%) were the most common pathogens, with Klebsiella pneumoniae as the most frequently identified one with an incidence of 50% followed by Staphylococcus aureus (13.
Data were collected using pretested self-administered questionnaire. Data were entered into Microsoft Excel and exported to SPSS version 28. 0 for analysis. Data was analysed using chi-square to test the association between the variables and multinomial logistic regression analysis was used to identify possible factors associated with knowledge and practice of IPC. Findings were presented using odd ratios with their 95% confidence interval, statistical significance was declared if p-values were less than 0. 05. Results: There was statistically significant association between the impact of Covid-19 on the respondents' perception, knowledge and compliance to IPC measures/practice (p = < 0. 0001, p < 0. 05). The positive correlation between IPC knowledge score and practice, was strongest during the lockdown, before the roll-out of vaccine (r = 0.
Furthermore, nosocomial infections do occur quite regularly, although the sources of these infections are often not identified. Objectives: In the present study, we evaluated the factors that could be associated with microbial contamination of stethoscopes and cell phones in major public hospitals in northern South Africa. Methods: Ethical clearence was obtained from the University of Pretoria and authorization was otained from the Limpopo Department of Health and the Hospitals management. Data was collected through questionnaires from hospital personnel while their stethoscopes and cellphones were swabbed for the isolation of microorganisms and antibiotic susceptibility profiles. Results: About 46% of staff cleaned their stethoscopes sometimes while up to 13% indicated that they never cleaned their stethoscope.
Introduction: The COVID-19 vaccination campaign started in 2021 was a crucial step to reduce mortality especially in subjects at high risk of severe forms. However, its in depth impact on the evolution of the disease has not been a frequent research topic. Objectives: To monitor the covid-19 cases in Sahloul Sousse University Hospital from 2021 to 2022 and to assess the association between severe forms and vaccination profile. Methods: An exhaustive longitudinal descriptive study was carried out among patients with COVID-19, hospitalized in Sahloul University Hospital during the period from 01/04/2021 to 15/08/2022. The sociodemographic and clinical data of the patients were collected prospectively using a pre-established form. Results: Overall, 1348 COVID-19 patients were identified. The median age was 58 years with a a sex ratio of 1.
Conclusion: The boxes of empty ABHR bottles are ready to be delivered, but we still have to overcome two major difficulties: first, we have to identify the establishments, teams, dispensaries, associations or individuals who really need them; second, we have to find the most cost-effective way of transporting the boxes, using existing networks and departure of containers in the context of humanitarian mission. Information is circulating, links are gradually being forged and our hospital ABHR empty bottles will certainly find new uses in an ecoresponsible humanitarian approach. Methods: This is a systematic literature review (https:// osf. io/ 38rst/). The search used electronic databases: Cochrane Library, Cinahl, Embase, Lilacs, PubMed, Scopus, Web of Science, Google Scholar and ProQuest.
Methods: The databases Pubmed, Epistemonikos, Web of Science and PsycInfo were searched on two occasions. The initial search yielded 9 hits. Consequently, we opted to broaden the search criteria and conducted a second search. We expanded the concept of nudge by introducing "nudge sensu lato (s. l. )", which incorporates insights and approaches from sources beyond the traditional nudge framework "nudge sensu stricto (s. str. )" while maintaining the same objectives, strategies, and methods. During the second search abstracts were screened and selected papers were read fully to confirm suitability by three independent reviewers from an interdisciplinary team. Results: 5. 706 unique primary studies were found and 67 met the inclusion criteria. Only 4 (6%) articles were listed as nudges s. str.
Methods: This observational prospective survey was conducted in the medical and surgical ICU of a tertiary hospital. All patients aged at least 65 years, admitted to the ICU between August 1st and October 31st, 2021, were included. The onset of infection within 48 h of hospitalization was used to define HAI. Data wa extracted from medical records including diagnoses, laboratory results, and antibiotic use. Microbiologically-confirmed bacterial and fungal pathogens from clinical cultures were evaluated to confirm the diagnosis. Results: A total of 88 patients were included. The overall prevalence of COVID-19 was 27. 6%, while the prevalence of HAIs was 19. 3%. Patients with HAIs were categorized into two groups: group 1 consisted of patients with COVID-19, and group 2 included patients without COVID-19.
To identify the risk factor of CLABSIs, logistic regression analysis was performed and odds ratio and its 95% confidence intervals were calculated using SPSS version 26. 0. Results: Results: The CLABSIs were related with Apgar score at 1 min, presence of patent ductus arteriosus (PDA), history of major surgery, use of artificial ventilation, use of antibiotics such as glycopeptides and β-lactamase inhibitor, PICC dwell time (days). As a result of multivariate analysis, the risk factors of CLABSIs were presence of PDA (OR 6. 03, 95% CI 2. 14-16. 86, p = 0. 001) and PICC dwell time (OR 1. 03, 95% CI 1. 01-1. 05, p = 0. 005).
Disclosure of Interest None declared. Introduction: Candida lusitaniae is one of the emerging pathogen that has been reported as a caused of candidemia in immunocompromised patient. Neonatology unit is one of the critical area in hospital that become "reservoir" for C. lusitaniae and colonize the environment if there is lack of infection control measurements. Objectives: This study aims to report five cases candidemia due to Candida lusitaniae in neonates ward Bali Mandara Hospital, Bali, Indonesia and the intervention of infection and prevention control measurements to stop the spread of outbreak. Methods: The Department of Clinical Microbiology database at Bali Mandara Hospital for the period of January-May 2023 was reviewed to identify patients with positive blood culture in Neonates Intensive Care Unit (NICU).
Conclusion: The concept of environmental bacterial reservoir is a reality. Improvement strategies include interventions to reduce/contain the shedding of pathogens and, improving the efficacy of cleaning/disinfection of hospital surfaces and hand hygiene. Objectives: This study aims to evaluate the practices of healthcare professionals regarding HCWM in a Tunisian tertiary hospital. Methods: This study utilized a descriptive evaluation design (audit) to assess waste management practices in the tertiary Hospital Sahloul during November 2022. All services and blocks were included, except for those without care activity (e. g. , laundry room, sterilization unit, internal and external pharmacies). Trained auditors collected data using an observation grid based on the manual of good HCWM techniques and practices (ANGED).
Hospital-acquired infections (HAIs)  are an important health concern, particularly in low-resource areas. Surveillance is the foundation for effective HAIs prevention and control. Artificial Antimicrobial Resistance & Infection Control 2023, 12(Suppl 1):81 Intelligence (AI) and machine learning (ML) might support the development of HAI surveillance algorithms aimed at understanding HAIs risk factors, improve patient risk stratification and prediction. Objectives: The purpose of our study was to build a model for predicting HAIs among patients admitted in surgical area by adopting machine learning techniques. Methods: it's a retrospective study on the 704 patients admitted in the surgical departments of Ibn Al Jazzar university hospital from 2010 to 2021. Data were retrieved from The NOSOKAIR Surveillance database.