bluuebunny/crossref_metadata_2025_split huggingface dataset:
The 30-days hospital readmission risk in diabetic patients: predictive modeling with machine learning classifiers
Authors: Shang Yujuan , Jiang Kui , Wang Lei , Zhang Zheqing , Zhou Siwei , Liu Yun , Dong Jiancheng , Wu Huiqun 
Published: July 2021

Abstract
Background and objectives
Diabetes mellitus is a major chronic disease that results in readmissions due to poor disease control. Here we established and compared machine learning (ML)-based readmission prediction methods to predict readmission risks of diabetic patients.

Methods
The dataset analyzed in this study was acquired from the Health Facts Database, which includes over 100,000 records of diabetic patients from 1999 to 2008. The basic data distribution characteristics of this dataset were summarized and then analyzed. In this study, 30-days readmission was defined as a readmission period of less than 30 days. After data preprocessing and normalization, multiple risk factors in the dataset were examined for classifier training to predict the probability of readmission using ML models. Different ML classifiers such as random forest, Naive Bayes, and decision tree ensemble were adopted to improve the clinical efficiency of the classification. In this study, the Konstanz Information Miner platform was used to preprocess and model the data, and the performances of the different classifiers were compared.

Results
A total of 100,244 records were included in the model construction after the data preprocessing and normalization. A total of 23 attributes, including race, sex, age, admission type, admission location, length of stay, and drug use, were finally identified as modeling risk factors. Comparison of the performance indexes of the three algorithms revealed that the RF model had the best performance with a higher area under receiver operating characteristic curve (AUC) than the other two algorithms, suggesting that its use is more suitable for making readmission predictions.

Conclusion
The factors influencing 30-days readmission predictions in diabetic patients, including number of inpatient admissions, age, diagnosis, number of emergencies, and sex, would help healthcare providers to identify patients who are at high risk of short-term readmission and reduce the probability of 30-days readmission. The RF algorithm with the highest AUC is more suitable for making 30-days readmission predictions and deserves further validation in clinical trials.
Study on the semi-supervised learning-based patient similarity from heterogeneous electronic medical records
Authors: Wang Ni , Huang Yanqun , Liu Honglei , Zhang Zhiqiang , Wei Lan , Fei Xiaolu , Chen Hui 
Published: July 2021

Abstract
Background
A new learning-based patient similarity measurement was proposed to measure patients’ similarity for heterogeneous electronic medical records (EMRs) data.

Methods
We first calculated feature-level similarities according to the features’ attributes. A domain expert provided patient similarity scores of 30 randomly selected patients. These similarity scores and feature-level similarities for 30 patients comprised the labeled sample set, which was used for the semi-supervised learning algorithm to learn the patient-level similarities for all patients. Then we used the k-nearest neighbor (kNN) classifier to predict four liver conditions. The predictive performances were compared in four different situations. We also compared the performances between personalized kNN models and other machine learning models. We assessed the predictive performances by the area under the receiver operating characteristic curve (AUC), F1-score, and cross-entropy (CE) loss.

Results
As the size of the random training samples increased, the kNN models using the learned patient similarity to select near neighbors consistently outperformed those using the Euclidean distance to select near neighbors (all P values < 0.001). The kNN models using the learned patient similarity to identify the top k nearest neighbors from the random training samples also had a higher best-performance (AUC: 0.95 vs. 0.89, F1-score: 0.84 vs. 0.67, and CE loss: 1.22 vs. 1.82) than those using the Euclidean distance. As the size of the similar training samples increased, which composed the most similar samples determined by the learned patient similarity, the performance of kNN models using the simple Euclidean distance to select the near neighbors degraded gradually. When exchanging the role of the Euclidean distance, and the learned patient similarity in selecting the near neighbors and similar training samples, the performance of the kNN models gradually increased. These two kinds of kNN models had the same best-performance of AUC 0.95, F1-score 0.84, and CE loss 1.22. Among the four reference models, the highest AUC and F1-score were 0.94 and 0.80, separately, which were both lower than those for the simple and similarity-based kNN models.

Conclusions
This learning-based method opened an opportunity for similarity measurement based on heterogeneous EMR data and supported the secondary use of EMR data.
Acute care nurses’ perceptions of leadership, teamwork, turnover intention and patient safety – a mixed methods study
Authors: Zaheer Shahram , Ginsburg Liane , Wong Hannah J. , Thomson Kelly , Bain Lorna , Wulffhart Zaev 
Published: July 2021

Abstract
Background
This study contributes to a small but growing body of literature on how context influences perceptions of patient safety in healthcare settings. We examine the impact of senior leadership support for safety, supervisory leadership support for safety, teamwork, and turnover intention on overall patient safety grade. Interaction effects of predictors on perceptions of patient safety are also examined.

Methods
In this mixed methods study, cross-sectional survey data (N = 185) were collected from nurses and non-physician healthcare professionals. Semi-structured interview data (N = 15) were collected from nurses. The study participants worked in intensive care, general medicine, mental health, or the emergency department of a large community hospital in Southern Ontario.

Results
Hierarchical regression analyses showed that staff perceptions of senior leadership (p < 0.001), teamwork (p < 0.01), and turnover intention (p < 0.01) were significantly associated with overall patient safety grade. The interactive effect of teamwork and turnover intention on overall patient safety grade was also found to be significant (p < 0.05). The qualitative findings corroborated the survey results but also helped expand the characteristics of the study’s key concepts (e.g., teamwork within and across professional boundaries) and why certain statistical relationships were found to be non-significant (e.g., nurse interviewees perceived the safety specific responsibilities of frontline supervisors much more broadly compared to the narrower conceptualization of the construct in the survey).

Conclusions
The results of the current study suggest that senior leadership, teamwork, and turnover intention significantly impact nursing staff perceptions of patient safety. Leadership is a modifiable contextual factor and resources should be dedicated to strengthen relational competencies of healthcare leaders. Healthcare organizations must also proactively foster inter and intra-professional collaboration by providing teamwork educational workshops or other on-site learning opportunities (e.g., simulation training). Healthcare organizations would benefit by considering the interactive effect of contextual factors as another lever for patient safety improvement, e.g., lowering staff turnover intentions would maximize the positive impact of teamwork improvement initiatives on patient safety.
Metamorphic development of the olfactory system in the red flour beetle (Tribolium castaneum, Herbst)
Authors: Trebels Björn , Dippel Stefan , Goetz Brigitte , Graebner Maria , Hofmann Carolin , Hofmann Florian , Schmid Freya-Rebecca , Uhl Mara , Vuong Minh-Phung , Weber Vanessa , Schachtner Joachim 
Published: July 2021

Abstract
Background
Insects depend on their olfactory sense as a vital system. Olfactory cues are processed by a rather complex system and translated into various types of behavior. In holometabolous insects like the red flour beetle Tribolium castaneum, the nervous system typically undergoes considerable remodeling during metamorphosis. This process includes the integration of new neurons, as well as remodeling and elimination of larval neurons.

Results
We find that the sensory neurons of the larval antennae are reused in the adult antennae. Further, the larval antennal lobe gets transformed into its adult version. The beetle’s larval antennal lobe is already glomerularly structured, but its glomeruli dissolve in the last larval stage. However, the axons of the olfactory sensory neurons remain within the antennal lobe volume. The glomeruli of the adult antennal lobe then form from mid-metamorphosis independently of the presence of a functional OR/Orco complex but mature dependent on the latter during a postmetamorphic phase.

Conclusions
We provide insights into the metamorphic development of the red flour beetle’s olfactory system and compared it to data on Drosophila melanogaster, Manduca sexta, and Apis mellifera. The comparison revealed that some aspects, such as the formation of the antennal lobe’s adult glomeruli at mid-metamorphosis, are common, while others like the development of sensory appendages or the role of Orco seemingly differ.
Expression of the human molecular chaperone domain Bri2 BRICHOS on a gram per liter scale with an E. coli fed-batch culture
Authors: Schmuck Benjamin , Chen Gefei , Pelcman Josef , Kronqvist Nina , Rising Anna , Johansson Jan 
Published: July 2021

Abstract
Background
The human Bri2 BRICHOS domain inhibits amyloid formation and toxicity and could be used as a therapeutic agent against amyloid diseases. For translation into clinical use, large quantities of correctly folded recombinant human (rh) Bri2 BRICHOS are required. To increase the expression and solubility levels of rh Bri2 BRICHOS it was fused to NT*, a solubility tag derived from the N-terminal domain of a spider silk protein, which significantly increases expression levels and solubility of target proteins. To increase the expression levels even further and reach the g/L range, which is a prerequisite for an economical production on an industrial scale, we developed a fed-batch expression protocol for Escherichia coli.

Results
A fed-batch production method for NT*-Bri2 BRICHOS was set up and systematically optimized. This gradual improvement resulted in expression levels of up to 18.8 g/L. Following expression, NT*-Bri2 BRICHOS was purified by chromatographic methods to a final yield of up to 6.5 g/L. After removal of the NT*-tag and separation into different oligomeric species, activity assays verified that different assembly states of the fed-batch produced rh Bri2 BRICHOS have the same ability to inhibit fibrillar and non-fibrillar protein aggregation as the reference protein isolated from shake flask cultures.

Conclusions
The protocol developed in this work allows the production of large quantities of rh Bri2 BRICHOS using the solubility enhancing NT*-tag as a fusion partner, which is required to effectively conduct pre-clinical research.
Liver enzyme elevation and eosinophilia with atorvastatin: a case of probable DRESS without cutaneous symptoms
Authors: Zereshkian Arman , Waserman Susan 
Published: July 2021

Abstract
Background
Drug reaction with eosinophilia and systemic symptoms (DRESS) is a potentially life-threatening hypersensitivity reaction to medication. While a relatively rare phenomenon, early identification and discontinuation of the offending agent is pivotal to patient management. To our knowledge this is the first reported case of probable atorvastatin induced DRESS syndrome without rash.

Case presentation
An adult female presented with 4 days of persistent fevers, abdominal and flank pain, malaise, and generalized muscle weakness without any cutaneous reaction following 20 days of therapy with atorvastatin. She was febrile (38.5 °C), at presentation with a heart rate of 72, and blood pressure of 93/51 mmHg. Her laboratory investigations at their peak demonstrated an Alkaline Phosphatase (ALP) of 792 U/L, Alanine aminotransferase (ALT) of 265 U/L, gamma glutamyl transferase (GGT) of 236 U/L, total bilirubin at 21 mg/dL, eosinophils 3100 cells/µL, leukocytes 20.2 K/µL, hemoglobin of 12.5 gm/dL. During her admission she had normal creatinine and troponin. Her serology for Hepatitis A, B and C were negative. Cytomegalovirus, Epstein-Barr viral serologies were negative. Antinuclear Antibody (ANA), rheumatoid factor, anti-neutrophil cytoplasmic antibody (ANCA), mitochondrial antibody, and smooth muscle antibody were negative. The patient was initially diagnosed as having pyelonephritis due to nonspecific bilateral flank pain but given ongoing fevers and lack of clinical and laboratory improvement with antibiotics, a diagnosis of atorvastatin induced DRESS syndrome was considered probable, and atorvastatin was discontinued. The patients’ clinical status improved gradually without any further therapy and her liver enzymes and eosinophils normalized over the course of a month.

Conclusion
In patients who present with systemic organ involvement and eosinophilia, even without cutaneous manifestations, clinicians should apply the RegiSCAR criteria for DRESS syndrome. This can then help guide treatment with discontinuation of offending agent, or treatment with systemic corticosteroids.
Testosterone and depressive symptoms during the late menopause transition
Authors: Sander Bethany , Muftah Amira , Sykes Tottenham Laurie , Grummisch Julia A. , Gordon Jennifer L. 
Published: July 2021

Abstract
Background
The menopause transition is associated with an increased risk of depression. While the mechanisms behind this increased risk are not well understood, the changing perimenopausal hormonal environment has been hypothesized to play a role. The current study examined the potential influence of testosterone and the ratio of testosterone to estradiol as a potential contributor to depressed mood in the menopause transition.

Methods
Fifty non-depressed perimenopausal women ages 45–55 were recruited for this study. Once every 3 weeks, for a total of four times, the women completed the Centre for Epidemiological Studies-Depression (CES-D) scale for the measurement of depressive symptoms and provided a first-morning urine sample for the measurement of urinary testosterone as well as estrone-3-glucuronide (E1G), a urinary metabolite of estradiol. The week-to-week and mean effects of testosterone, E1G, and the testosterone/E1G ratio on CES-D score were examined. Self-reported sleep quality and vasomotor symptoms were also assessed at each of the four time points.

Results
Testosterone levels rose with increasing months since last menstrual period associated with testosterone levels (β(SE) = 175.3(63.2), p = .006), though this effect was moderated by body mass index (p for the interaction = .001) such that overweight women showed a less pronounced increase over time. Past and current smokers also had higher testosterone levels compared to never smokers. Week-to-week testosterone/E1G ratio was positively associated with CES-D score (β(SE) = 1.57(0.76), p = .041) but not sleep quality or vasomotor symptoms (ps > .05). Mean testosterone/E1G ratio was also positively associated with vasomotor symptom bother (β(SE) = 0.14(0.06), p = .018) and poorer sleep quality (β(SE) = − 0.34(0.09), p = .0001).

Conclusion
These results suggest that, within the context of the menopause transition, times that are characterized by a higher testosterone-to-estradiol ratio may be associated with higher depressive symptoms. Perimenopausal women with a higher average ratio of testosterone relative to estradiol may also experience more sleep difficulties and vasomotor symptom bother.
Review of Lands of the Future edited by Echi Christina Gabbert, Fana Gebresenbet, John G.Galaty and Günther Schlee
Authors: Homewood Katherine 
Published: July 2021

Book detailsEchi Christina Gabbert, Fana Gebresenbet, John G. Galaty and Günther Schlee, (Eds.) 2021. Lands of the Future. Berghahn Books (in association with Max Planck Institute for Social Anthropology, Halle/Saale) New York and Oxford. 332 pages. Volume 23 in Integration and Conflict Studies. ISBN 978-1-78920-990-7 (hardback) ISBN 978-1-78920-991-4 (e-book).
On algorithms testing positivity of real symmetric polynomials
Authors: Timofte Vlad , Timofte Aida 
Published: July 2021

AbstractWe show that positivity (≥0) on $\mathbb{R}_{+}^{n}$

R
+
n

and on $\mathbb{R}^{n}$

R
n

of real symmetric polynomials of degree at most p in $n\ge 2$
n
≥
2
variables is solvable by algorithms running in polynomial time in the number n of variables. For real symmetric quartics, we find discriminants which lead to the efficient algorithms QE4+ and QE4 running in $O(n)$
O
(
n
)
time. We describe the Maple implementation of both algorithms, which are then used not only for testing concrete inequalities (with given numerical coefficients and number of variables), but also for proving symbolic inequalities.
Comparison of colistin-induced nephrotoxicity between two different formulations of colistin in critically ill patients: a retrospective cohort study
Authors: Feng Jia-Yih , Lee Yi-Tzu , Pan Sheng-Wei , Yang Kuang-Yao , Chen Yuh-Min , Yen David Hung-Tsang , Li Szu-Yuan , Wang Fu-Der 
Published: July 2021

Abstract
Background
Colistin is widely used in the treatment of nosocomial infections caused by carbapenem-resistant gram-negative bacilli (CR-GNB). Colistin-induced nephrotoxicity is one of the major adverse reactions during colistin treatment. Comparisons of colistin-induced nephrotoxicity between different formulations of colistin are rarely reported.

Methods
In this retrospective cohort study, we enrolled intensive care unit–admitted patients if they had culture isolates of CR-GNB and underwent intravenous treatment with colistin. The occurrence of acute kidney injury (AKI) during intravenous treatment with colistin was recorded. The occurrence of colistin-induced nephrotoxicity was compared between two formulations of colistin, Locolin®, and Colimycin®. Treatment outcomes associated with the occurrence of colistin-induced nephrotoxicity were also investigated.

Results
Among 195 patients, 95 who were treated with Locolin® and 100 who were treated with Colimycin® were included for analysis. Patients treated with Locolin® had a higher rate of occurrence of stage 2 (46.3% vs. 32%, p = 0.040) and stage 3 (29.5% vs. 13%, p = 0.005) AKI than did those treated with Colimycin®. In multivariate analysis, the presence of septic shock (adjusted odds ratio [aOR] 2.17, 95% confidence interval [CI] 1.10–4.26) and inappropriate colistin dosage (aOR 2.52, 95% CI 1.00–6.33) were clinical factors associated with colistin-induced nephrotoxicity. Treatment with Colimycin® was an independent factor associated with a lower risk of colistin-induced nephrotoxicity (aOR 0.37, 95% CI 0.18–0.77). The mortality rate was comparable between patients with and without colistin-induced nephrotoxicity.

Conclusions
The risk of colistin-induced nephrotoxicity significantly varied in different formulations of colistin in critically ill patients. Colistin-induced nephrotoxicity was not associated with increased mortality rate.
The 2018 phreatic eruption at Mt. Motoshirane of Kusatsu–Shirane volcano, Japan: eruption and intrusion of hydrothermal fluid observed by a borehole tiltmeter network
Authors: Terada Akihiko , Kanda Wataru , Ogawa Yasuo , Yamada Taishi , Yamamoto Mare , Ohkura Takahiro , Aoyama Hiroshi , Tsutsui Tomoki , Onizawa Shin’ya 
Published: July 2021

AbstractWe estimate the mass and energy budgets for the 2018 phreatic eruption of Mt. Motoshirane on Kusatsu–Shirane volcano, Japan, based on data obtained from a network of eight tiltmeters and weather radar echoes. The tilt records can be explained by a subvertical crack model. Small craters that were formed by previous eruptions are aligned WNW–ESE, which is consistent with the strike of the crack modeled in this study. The direction of maximum compressive stress in this region is horizontal and oriented WNW–ESE, allowing fluid to intrude from depth through a crack with this orientation. Based on the crack model, hypocenter distribution, and MT resistivity structure, we infer that fluid from a hydrothermal reservoir at a depth of 2 km below Kusatsu–Shirane volcano has repeatedly ascended through a pre-existing subvertical crack. The inflation and deflation volumes during the 2018 eruption are estimated to have been 5.1 × 105 and 3.6 × 105 m3, respectively, meaning that 1.5 × 105 m3 of expanded volume formed underground. The total heat associated with the expanded volume is estimated to have been ≥ 1014 J, similar to or exceeding the annual heat released from Yugama Crater Lake of Mt. Shirane and that from the largest eruption during the past 130 year. Although the ejecta mass of the 2018 phreatic eruption was small, the eruption at Mt. Motoshirane was not negligible in terms of the energy budget of Kusatsu–Shirane volcano. A water mass of 0.1–2.0 × 107 kg was discharged as a volcanic cloud, based on weather radar echoes, which is smaller than the mass associated with the deflation. We suggest that underground water acted as a buffer against the sudden intrusion of hydrothermal fluids, absorbing some of the fluid that ascended through the crack.
Contract cheating: an increasing challenge for global academic community arising from COVID-19
Authors: Hill Guzyal , Mason Jon , Dunn Alex 
Published: July 2021

AbstractDue to COVID-19, universities with limited expertise with the digital environment had to rapidly transition to online teaching and assessment. This transition did not create a new problem but has offered more opportunities for contract cheating and diversified the types of such services. While universities and lecturers were adjusting to the new teaching styles and developing new assessment methods, opportunistic contract cheating providers have been offering $50 COVID-19 discounts and students securing the services of commercial online tutors to take their online exams or to take advantage of real-time assistance from ‘pros’ while sitting examinations. The article contributes to the discourse on contract cheating by reporting on an investigation of the scope and scale of the growing problems related to academic integrity exacerbated by an urgent transition to online assessments during the COVID-19 pandemic. The dark reality is the illegal services are developing at a faster pace than the systems required to curb them, as demonstrated by the results. The all-penetrating issues indicate systemic failures on a global scale that cannot be addressed by an individual academic or university acting alone. Multi-level solutions including academics, universities and the global community are essential. Future research must focus on developing a model of collaboration to address this problem on several levels, taking into account (1) individual academics, (2) universities, (3) countries and (4) international communities.