bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gut colonization with multidrug resistant organisms in the intensive care unit: a systematic review and meta-analysis
Authors: Heath Madison R. , Fan Weijia , Leu Cheng-Shiun , Gomez-Simmonds Angela , Lodise Thomas , Freedberg Daniel E. 
Published: June 2024

Abstract
Background
Gut colonization with multidrug-resistant organisms (MDRO) frequently precedes infection among patients in the intensive care unit (ICU), although the dynamics of colonization are not completely understood. We performed a systematic review and meta-analysis of ICU studies which described the cumulative incidence and rates of MDRO gut acquisition.

Methods
We systematically searched PubMed, Embase, and Web of Science for studies published from 2010 to 2023 reporting on gut acquisition of MDRO in the ICU. MDRO were defined as multidrug resistant non-Pseudomonas Gram-negative bacteria (NP-GN), Pseudomonas spp., and vancomycin-resistant Enterococcus (VRE). We included observational studies which obtained perianal or rectal swabs at ICU admission (within 48 h) and at one or more subsequent timepoints. Our primary outcome was the incidence rate of gut acquisition of MDRO, defined as any MDRO newly detected after ICU admission (i.e., not present at baseline) for all patient-time at risk. The study was registered with PROSPERO, CRD42023481569.

Results
Of 482 studies initially identified, 14 studies with 37,305 patients met criteria for inclusion. The pooled incidence of gut acquisition of MDRO during ICU hospitalization was 5% (range: 1–43%) with a pooled incidence rate of 12.2 (95% CI 8.1–18.6) per 1000 patient-days. Median time to acquisition ranged from 4 to 26 days after ICU admission. Results were similar for NP-GN and Pseudomonas spp., with insufficient data to assess VRE. Among six studies which provided sufficient data to perform curve fitting, there was a quasi-linear increase in gut MDRO colonization of 1.41% per day which was stable through 30 days of ICU hospitalization (R2 = 0.50, p < 0.01).

Conclusions
Acquisition of gut MDRO was common in the ICU and increases with days spent in ICU through 30 days of follow-up. These data may guide future interventions seeking to prevent gut acquisition of MDRO in the ICU.
Atypical cell cycle regulation promotes mammary stem cell expansion during mammary development and tumourigenesis
Authors: Fifield Bre-Anne , Vusich John , Haberfellner Erika , Andrechek Eran R. , Porter Lisa A. 
Published: June 2024

Abstract
Background
The cell cycle of mammary stem cells must be tightly regulated to ensure normal homeostasis of the mammary gland to prevent abnormal proliferation and susceptibility to tumorigenesis. The atypical cell cycle regulator, Spy1 can override cell cycle checkpoints, including those activated by the tumour suppressor p53 which mediates mammary stem cell homeostasis. Spy1 has also been shown to promote expansion of select stem cell populations in other developmental systems. Spy1 protein is elevated during proliferative stages of mammary gland development, is found at higher levels in human breast cancers, and promotes susceptibility to mammary tumourigenesis when combined with loss of p53. We hypothesized that Spy1 cooperates with loss of p53 to increase susceptibility to tumour initiation due to changes in susceptible mammary stem cell populations during development and drives the formation of more aggressive stem like tumours.

Methods
Using a transgenic mouse model driving expression of Spy1 within the mammary gland, mammary development and stemness were assessed. These mice were intercrossed with p53 null mice to study the tumourigenic properties of Spy1 driven p53 null tumours, as well as global changes in signaling via RNA sequencing analysis.

Results
We show that elevated levels of Spy1 leads to expansion of mammary stem cells, even in the presence of p53, and an increase in mammary tumour formation. Spy1-driven tumours have an increased cancer stem cell population, decreased checkpoint signaling, and demonstrate an increase in therapy resistance. Loss of Spy1 decreases tumor onset and reduces the cancer stem cell population.

Conclusions
This data demonstrates the potential of Spy1 to expand mammary stem cell populations and contribute to the initiation and progression of aggressive, breast cancers with increased cancer stem cell populations.
Cognitive training and promoting a healthy lifestyle for individuals with isolated REM sleep behavior disorder: study protocol of the delayed-start randomized controlled trial CogTrAiL-RBD
Authors: Ophey Anja , Röttgen Sinah , Pauquet Julia , Weiß Kim-Lara , Scharfenberg Daniel , Doppler Christopher E. J. , Seger Aline , Hansen Clint , Fink Gereon R. , Sommerauer Michael , Kalbe Elke 
Published: June 2024

Abstract
Background
Isolated REM sleep behavior disorder (iRBD) is an early α-synucleinopathy often accompanied by incipient cognitive impairment. As executive dysfunctions predict earlier phenotypic conversion from iRBD to Parkinson’s disease and Lewy body dementia, cognitive training focusing on executive functions could have disease-modifying effects for individuals with iRBD.

Methods
The study CogTrAiL-RBD investigates the short- and long-term effectiveness and the feasibility and underlying neural mechanisms of a cognitive training intervention for individuals with iRBD. The intervention consists of a 5-week digital cognitive training accompanied by a module promoting a healthy, active lifestyle. In this monocentric, single-blinded, delayed-start randomized controlled trial, the intervention’s effectiveness will be evaluated compared to an initially passive control group that receives the intervention in the second, open-label phase of the study. Eighty individuals with iRBD confirmed by polysomnography will be consecutively recruited from the continuously expanding iRBD cohort at the University Hospital Cologne. The evaluation will focus on cognition and additional neuropsychological and motor variables. Furthermore, the study will examine the feasibility of the intervention, effects on physical activity assessed by accelerometry, and interrogate the intervention’s neural effects using magnetic resonance imaging and polysomnography. Besides, a healthy, age-matched control group (HC) will be examined at the first assessment time point, enabling a cross-sectional comparison between individuals with iRBD and HC.

Discussion
This study will provide insights into whether cognitive training and psychoeducation on a healthy, active lifestyle have short- and long-term (neuro-)protective effects for individuals with iRBD.

Trial registration
The study was prospectively registered in the German Clinical Trial Register (DRKS00024898) on 2022–03-11, https://drks.de/search/de/trial/DRKS00024898. Protocol version: V5 2023–04-24.
Anaesthesiologists’ guideline adherence in pre-operative evaluation: a retrospective observational study
Authors: Kagerbauer Simone Maria , Wißler Jennifer , Blobner Manfred , Biegert Ferdinand , Andonov Dimislav Ivanov , Schneider Gerhard , Podtschaske Armin Horst , Ulm Bernhard , Jungwirth Bettina 
Published: June 2024

Abstract
Background
Surveys suggest a low level of implementation of clinical guidelines, although they are intended to improve the quality of treatment and patient safety. Which guideline recommendations are not followed and why has yet to be analysed. In this study, we investigate the proportion of European and national guidelines followed in the area of pre-operative anaesthetic evaluation prior to non-cardiac surgery.

Methods
We conducted this monocentric retrospective observational study at a German university hospital with the help of software that logically links guidelines in such a way that individualised recommendations can be derived from a patient's data. We included routine logs of 2003 patients who visited our pre-anaesthesia outpatient clinic between June 2018 and June 2020 and compared the actual conducted pre-operative examinations with the recommendations issued by the software. We descriptively analysed the data for examinations not performed that would have been recommended by the guidelines and examinations that were performed even though they were not covered by a guideline recommendation. The guidelines examined in this study are the 2018 ESAIC guidelines for pre-operative evaluation of adults undergoing elective non-cardiac surgery, the 2014 ESC/ESA guidelines on non-cardiac surgery and the German recommendations on pre-operative evaluation on non-cardiothoracic surgery from the year 2017.

Results
Performed ECG (78.1%) and cardiac stress imaging tests (86.1%) indicated the highest guideline adherence. Greater adherence rates were associated with a higher ASA score (ASA I: 23.7%, ASA II: 41.1%, ASA III: 51.8%, ASA IV: 65.8%, P < 0.001), lower BMI and age > 65 years. Adherence rates in high-risk surgery (60.5%) were greater than in intermediate (46.5%) or low-risk (44.6%) surgery (P < 0.001). 67.2% of technical and laboratory tests performed preoperatively were not covered by a guideline recommendation.

Conclusions
Guideline adherence in pre-operative evaluation leaves room for improvement. Many performed pre-operative examinations, especially laboratory tests, are not recommended by the guidelines and may cause unnecessary costs. The reasons for guidelines not being followed may be the complexity of guidelines and organisational issues. A software-based decision support tool may be helpful.

Trial registration
ClinicalTrials.gov ID NCT04843202.
Unraveling symptom interplay: a network analysis of procrastination in gifted students
Authors: Bagheri Sajjad , Farahani Hojjatollah , Watson Peter , Bezdan Timea , Rezaiean Kosar 
Published: June 2024

Abstract
Background
This study explores the intricate web of symptoms experienced by academically gifted high school students, focusing on procrastination, rumination, perfectionism, and cognitive flexibility. The well-being of these gifted adolescents remains a pivotal concern, and understanding the dynamics of these symptoms is vital.

Methods
A diverse sample of 207 academically gifted high school students from Mashhad, Iran, participated in this study. Using convenience sampling, participants from grades 10, 11, and 12 were included, with detailed assessments conducted through questionnaires measuring the mentioned symptoms.

Results
Our network analysis uncovers compelling insights into the interplay of these symptoms: Procrastination, though moderately central, exerts significant influence within the network, underscoring its relevance. Cognitive flexibility, while centrally positioned, curiously exhibits a negative influence, potentially serving as a protective factor. Negative perfectionism emerges as the keystone symptom, with both high centrality and a positive influence. Rumination displays substantial centrality and a positive influence, indicating its role in symptom exacerbation. Positive perfectionism, moderately central, lacks direct influence on other symptoms.

Conclusion
This network analysis provides a nuanced understanding of the relationships among procrastination, rumination, perfectionism, and cognitive flexibility in academically gifted adolescents. Negative perfectionism and cognitive flexibility emerge as critical factors deserving attention in interventions aimed at enhancing the well-being of this unique group. Further research should explore causal relationships to refine targeted interventions.
Satellite orbit determination and time synchronization using GPS single-frequency observables in low and high solar activities
Authors: Tseng Tzu-Pang , Yeh Wen-Hao , Tsai Yung-Fu , Hsiao Tung-Yuan , Tsai Yi-Hsuan , Kuo Pei-Jung , Chen Kun-Lin , Hsiao Yu-Shen 
Published: June 2024

AbstractWe assess the orbit accuracy and time synchronization error using the L1 and C1 observables during the different solar activities. In general, GPS single-frequency (SF) observable can be used for commercial applications in satellite industry. The accuracy of satellite orbit determination using the SF observations is dominated by solar activities. The solar activities are indexed by the F10.7 value. The different solar activities lead to the ionosphere perturbation, triggering off the occurrence probability of ionospheric irregularities. The ionospheric irregularity affects the amplitude and phase of GPS signal. The affected amplitude and phase are indexed by the S4 value. We determine the GRACE satellite orbit using the SF GPS observations and compare the resulting orbit to that derived by dual-frequency observations for the effectiveness. The SF phase data are very sensitive to the variation in electron density and indirectly affects both the orbit accuracy and the time synchronization error. This is most likely caused by the phase ambiguity disturbed by the ionosphere. However, the C1 is relatively free from such a disturbance due to the strong signal-to-noise ratio (SNR) and the phase shift keying technique. The C1 performs the consistent solution over the low and high solar activities. However, this is not the case for the L1. The L1-derived orbit solution during the high solar activities is worse than that during the low solar activities. On the other hand, the time synchronization errors derived by the L1 and C1 are also different. The L1-derived time synchronization error has a relatively large perturbation as compared to the C1-derived one, which shows a consistent solution for a long-term period. This work suggests that the C1 observable is able to produce a consistent the orbit solution and time synchronization for the commercial applications of the satellite industry.
Graphical Abstract
Position dependence of recovery coefficients in 177Lu-SPECT/CT reconstructions – phantom simulations and measurements
Authors: Leube Julian , Claeys Wies , Gustafsson Johan , Salas-Ramirez Maikol , Lassmann Michael , Koole Michel , Tran-Gia Johannes 
Published: June 2024

Abstract
Background
Although the importance of quantitative SPECT has increased tremendously due to newly developed therapeutic radiopharmaceuticals, there are still no accreditation programs to harmonize SPECT imaging. Work is currently underway to develop an accreditation for quantitative 177Lu SPECT/CT. The aim of this study is to verify whether the positioning of the spheres within the phantom has an influence on the recovery and thus needs to be considered in SPECT harmonization. In addition, the effects of these recovery coefficients on a potential partial volume correction as well as absorbed-dose estimates are investigated.

Methods
Using a low-dose CT of a SPECT/CT acquisition, a computerized version of the NEMA body phantom was created using a semi-automatic threshold-based method. Based on the mass-density map, the detector orbit, and the sphere centers, realistic SPECT acquisitions of all possible 720 sphere configurations of both the PET and the SPECT versions of the NEMA Body Phantom were generated using Monte Carlo simulations. SPECT reconstructions with different numbers of updates were performed without (CASToR) and with resolution modeling (STIR). Recovery coefficients were calculated for all permutations, reconstruction methods, and phantoms, and their dependence on the sphere positioning was investigated. Finally, the simulation-based findings were validated using SPECT/CT acquisitions of six different sphere configurations.

Results
Our analysis shows that sphere positioning has a significant impact on the recovery for both of the reconstruction methods and the phantom type. Although resolution modeling resulted in significantly higher recovery, the relative variation in recovery within the 720 permutations was even larger. When examining the extreme values of the recovery, reconstructions without resolution modeling were influenced primarily by the sphere position, while with resolution modeling the volume of the two adjacent spheres had a larger influence. The SPECT measurements confirmed these observations, and the recovery curves showed good overall agreement with the simulated data.

Conclusion
Our study shows that sphere positioning has a significant impact on the recovery obtained in NEMA sphere phantom measurements and should therefore be considered in a future SPECT accreditation. Furthermore, the single-measurement method normally performed for PVC should be reconsidered to account for the position dependency.
Laparoscopic redo surgery for sigmoid volvulus following laparoscopic sigmoidectomy
Authors: Masui Hideyuki , Kawada Kenji , Inamoto Susumu , Wada Toshiaki , Sakai Yoshiharu , Obama Kazutaka 
Published: June 2024

Abstract
Background
Sigmoid volvulus (SV) is an acute abdominal condition characterized by torsion of the sigmoid colon around the mesentery, and often results in intestinal obstruction that may progress to bowel ischemia, necrosis, or perforation. Although SV commonly occurs due to predisposing factors like anatomic variations, age-related motility disorders, chronic constipation, and neurologic diseases, its incidence following sigmoid colon cancer surgery has rarely been reported. Herein, we report a rare case of recurrent SV following laparoscopic sigmoidectomy, which was successfully treated by laparoscopic redo surgery.

Case presentation
The patient was a 77-year-old man who had previously undergone laparoscopic sigmoidectomy for sigmoid colon cancer. Sixteen months postoperatively, he developed an incisional hernia at the umbilical site, which was treated with a laparoscopic repair using an intraperitoneal onlay mesh. After the hernia surgery, the patient had no anastomotic leakage or stenosis on regular follow-ups. However, 65 months after the first surgery, he presented with abdominal pain and distension. A computed tomography revealed that the remnant sigmoid colon was distended in a twisting manner around the anastomosis, leading to the diagnosis of SV. Although endoscopic de-torsion was successful, the SV recurred 2 months later, requiring elective laparoscopic redo surgery. The procedure involved resection of the sigmoid colon including the prior anastomosis with a left pararectal incision and DST re-anastomosis using a 25-mm circular stapler. The operation lasted 165 min with minimal bleeding and no complications. The postoperative course was uneventful. Pathological analysis confirmed fibrosis without malignancy. The patient remains well without recurrence of SV and anastomotic stenosis more than 5 years after surgery.

Conclusion
SV following sigmoid colon cancer surgery has rarely been reported. This case illustrates the potential need for prophylaxis against postoperative SV, especially in patients with long sigmoid colon undergoing laparoscopic surgery for colorectal cancer. Further, laparoscopic redo surgery following initial laparoscopic surgery for colorectal cancer can be performed with minimal invasiveness, especially if patient selection is properly managed.
Employability and career beliefs inventory: a brief version for unemployed persons
Authors: Silva Ana Daniela , Coscioni Vinicius , Barros Alexandra , do Céu Taveira Maria 
Published: June 2024

Abstract
Background
Considering that beliefs may be assessed and changed, inventories measuring employability and career beliefs may be of utmost importance for career interventions.

Objective
This study introduces the psychometric properties of a brief version of the Employability and Career Beliefs Inventory (ECBI) in a sample of unemployed persons.

Methods and results
Altogether, 2023 unemployed persons aged from 18 to 66 years old and living in Southern Portugal participated in an online survey. The ECBI’s original internal structure was tested and did not fit the data. Exploratory and confirmatory factor analyses were implemented, and a three-factor solution was retained. The three factors discriminate three types of beliefs named growth, pessimism, and flexibility. Measurement invariance models identified scalar equivalence across gender and educational degree, and metric invariance across age. All items fit the graded response model’s parameters. The growth and flexibility subscales were less effective in the assessment of low latent trait levels, whereas the opposite was observed with the pessimism subscale. Internal consistency is good yet discrimination between factors is questionable. Correlations to career decision-making self-efficacy evidence validity based on the relations to other constructs.

Conclusion
Despite the limitations, the brief version of the ECBI proposed in this study is ready for further use and development among unemployed persons.
Deep learning model for detection of hotspots using infrared thermographic images of electrical installations
Authors: Ukiwe Ezechukwu Kalu , Adeshina Steve A. , Jacob Tsado , Adetokun Bukola Babatunde 
Published: June 2024

AbstractHotspots in electrical power equipment or installations are a major issue whenever it occurs within the power system. Factors responsible for this phenomenon are many, sometimes inter-related and other times they are isolated. Electrical hotspots caused by poor connections are common. Deep learning models have become popular for diagnosing anomalies in physical and biological systems, by the instrumentality of feature extraction of images in convolutional neural networks. In this work, a VGG-16 deep neural network model is applied for identifying electrical hotspots by means of transfer learning. This model was achieved by first augmenting the acquired infrared thermographic images, using the pre-trained ImageNet weights of the VGG-16 algorithm with additional global average pooling in place of conventional fully connected layers and a softmax layer at the output. With the categorical cross-entropy loss function, the model was implemented using the Adam optimizer at learning rate of 0.0001 as well as some variants of the Adam optimization algorithm. On evaluation, with a test IRT image dataset, and a comparison with similar works, the research showed that a better accuracy of 99.98% in identification of electrical hotspots was achieved. The model shows good score in performance metrics like accuracy, precision, recall, and F1-score. The obtained results proved the potential of deep learning using computer vision parameters for infrared thermographic identification of electrical hotspots in power system installations. Also, there is need for careful selection of the IR sensor’s thermal range during image acquisition, and suitable choice of color palette would make for easy hotspot isolation, reduce the pixel to pixel temperature differential across any of the images, and easily highlight the critical region of interest with high pixel values. However, it makes edge detection difficult for human visual perception which computer vision-based deep learning model could overcome.