bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative Rehabilitation using Digital Healthcare System in Patients with Rotator Cuff Repair: A Randomized Controlled Trial
Authors: Lim Jae-Young , Shim Ga Yang , Kim Eun Hye , Baek Yoon Jeong , Chang Won Kee , Kim Bo Ram , Oh Joo Han , Lee Jong In , Hwang Ji Hye 
Published: September 2022

Abstract
A digital healthcare system based on augmented reality (AR) has promising uses for postoperative rehabilitation. We compared effectiveness of AR-based and conventional rehabilitation in patients after rotator cuff repair (RCR). This study randomly allocated 115 participants who underwent RCR to digital healthcare rehabilitation group (DR group) and conventional rehabilitation group (CR group). The DR group performed AR-based home exercises using UINCARE Home+, whereas the CR group performed brochure-based home exercises. The primary outcome was a change in the Simple Shoulder Test (SST) score between baseline and 12 weeks postoperatively. The secondary outcomes were the Disabilities of the Arm, Shoulder and Hand (DASH) score; Shoulder Pain And Disability Index (SPADI) score; EuroQoL 5-Dimension 5-Level (EQ5D5L) questionnaire score; pain; range of motion (ROM); muscle strength; and handgrip strength. The outcomes were measured at baseline, and at 6, 12, and 24 weeks postoperatively. The change in SST score between baseline and 12 weeks postoperatively was significantly greater in the DR group than in the CR group (p = 0.025). The SPADI, DASH, and EQ5D5L scores demonstrated group \(\times\) time interactions (p = 0.001, = 0.04, and = 0.016, respectively). However, no significant differences over time were observed between the groups in terms of pain, ROM, muscle strength, and handgrip strength. The outcomes showed significant improvement in both groups (all p < 0.001). No adverse events were reported during the interventions. AR-based rehabilitation significantly improved shoulder function after RCR compared to conventional rehabilitation. Therefore, as an alternative to the conventional rehabilitation, the digital healthcare system is effective for postoperative rehabilitation. Trial registration: ClinicalTrials.gov (identifier: NCT04511377). Registered on August 10, 2020. http://clinicaltrials.gov/ct2/show/NCT04511377
The role of internal variability in global climate projections of extreme events
Authors: Blanusa Mackenzie L. , López-Zurita Carla J. , Rasp Stephan 
Published: September 2022

Abstract
Climate projection uncertainty can be partitioned into model uncertainty, scenario uncertainty and internal variability. Here, we investigate the different sources of uncertainty in the projected frequencies of daily maximum temperature and precipitation extremes, which are defined as events that exceed the 99.97th percentile. This is done globally using initial-condition large ensembles. For maximum temperature extremes, internal variability dominates in the next two decades. Around the middle of the 21st century model and scenario uncertainty become the dominant contribution in the tropics but internal variability remains dominant in the extra-tropics. Towards the end of the century, model and scenario uncertainty increase to near equal contributions of ∼40% each globally with large regional fluctuations. For precipitation extremes, internal variability dominates throughout the 21st century, except for some tropical regions, for example, West Africa. In regions where internal variability constitutes the major source of uncertainty, the potential impact of reducing model uncertainty on the signal-to-noise ratio of the climate projection is estimated to be small. We discuss the caveats of the methodology used and impact of our findings for the design of future climate models. The importance of internal variability found here emphasizes that large ensembles are a vital tool for understanding climate projections.
Resilient-Sustainable Supplier Selection Considering Health-Safety- Environment Performance Indices: A Case Study in Automobile Industry
Authors: Maddah Saeid , Bidhendi Gholamreza Nabi , Borhani Faezeh , Taleizadeh Ata Allah 
Published: September 2022

Abstract
Occupational safety and health are important aspect of social dimension of sustainability in the concept of sustainable supply chain. along with the environmental dimension of sustainability, helps organizations integrated approach to health, safety and environment management to move towards sustainable development. Resilience Engineering is a new approach of safety management and an inherent ability of an organization to regulate its functions before or during disruptions, enabling it to continue operating in times of crisis or constant stress. This paper presents an integrated framework for evaluating, ranking and selecting top suppliers in terms of resilience, greenness and occupational safety and health issues. The framework is based on using expert panel meetings and Delphi method to define the criteria, and content validity ratio to measure validity of the designed framework. Besides, two Multi-Criteria Decision Methods namely the Best-Worst Method and Multi-Attributive Border Approximation Area Comparison were used to weight the criteria and ranking the suppliers. The case study to apply the designed framework is the automotive industry with focus on the suppliers of one of the biggest Automotive Companies in Iran. The results showed the criteria management commitment demonstrated the highest weight and among the indicators, adequate budget allocation for HSE actions, risk awareness, management systems and control measures for risks ranked one to four, respectively. Finally, using the designed model and conducting an audit of the studied companies, the final ranking of four suppliers was done and suggestions were made to improve the performance of the companies.
Modern Trends in the Copper-Catalyzed Synthesis of Sulfonamides
Authors: Chandra Prakash , Choudhary Neha , Lahiri Goutam K. , Maiti Debabrata , Shaikh Mobin 
Published: September 2022

Abstract
Sulfonamides are among the most significant class of organic compounds and key components of a wide array of pharmacophores and agrichemical. These sulphonamides are used as the chemotherapeutic agents against microorganisms. Sulfonamides possess broad spectrum pharmacological activities like antibacterial, antifungal, antiprotozoal, antiretroviral, antihypertensive and antiretroviral activity. However, due to antimicrobial resistance (AMR) has resulted in universal demand for the new generation of sulfonamide derivatives. These sulfonamides primarily inhibit multiplication of bacteria by inhibiting the folic acid synthesis. As a consequence of this scenario, several homogeneous and heterogeneous transition metal complexes have been developed for the facile synthesis of these sulfonamides. Amongst all, copper-based homogeneous and heterogeneous catalytic materials have been extensively investigated to synthesize a variety of sulfonamides due to the presence of multiple oxidation states, facile electron transfer and ability to complex with a variety of organic moieties. These copper-based catalytic systems effectively catalyze the sulfonylation of organic compounds by direct C-H functionalization of various organic molecules or by multicomponent domino reaction of various organic molecules amines, carbonyl compounds, silanes, with sulfur dioxide, sulfonyl azides or tosylamines. Herein, the present review we focus on the recent developments in the copper catalysed synthesis of sulfonamides and their biological implications.
Polynomial Stochastic Dynamical Indicators
Authors: Vasile Massimiliano , Manzi Matteo 
Published: September 2022

Abstract
This paper introduces three types of dynamical indicators that capturethe effect of uncertainty on the time evolution of dynamical systems. Two indica-tors are derived from the definition of Finite Time Lyapunov Exponents while athird indicator directly exploits the property of the polynomial expansion of thedynamics with respect to the uncertain quantities. The paper presents the deriva-tion of the indicators and a number of numerical experiments that illustrates theuse of these indicators to depict a cartography of the phase space under paramet-ric uncertainty and to identify robust initial conditions and regions of practicalstability in the restricted three-body problem.
Differences and trends in gastric, breast, and cervical cancer screening rates between rural and urban areas in 2007-2012 among the Korean population
Authors: Chuck Kumban Walter , Lee Yunhwan 
Published: September 2022

Abstract
Purpose
This study aimed at examining the ever and recommended screening inequalities of cancers (gastric, breast, and cervical) in rural and urban areas including socio-economic disparities, from 2007 to 2012 amongst Koreans.
Methodology
This cross-sectional population-based study used data from the Korean National Health and Nutrition Examination Survey (KNHANES) of 2007–2012. It included people with no previous cancer diagnosis for gastric, breast, and cervical cancers. Annual Percent Change (APC) was calculated at 95% confidence interval using STATA version 13.0 and MS Excel.
Results
In the ever cancer screening group, the screening rates and trends had an increased in both urban and rural areas: APC values were 4.6% (95% CI, 1.6 to 7.8) and 5.6% (95% CI, 2.7 to 8.6) for gastric cancers, 3.6% (95% CI, 1.5 to 5.6) and 3.6% (95% CI, -0.3 to 7.7) for breast cancers, and 0.3% (95% CI, -0.4 to 1.2) and 0.7% (95% CI, -1.0 to 1.4) for cervical cancers in urban and rural areas, respectively.
Conclusion
Cancer screening rates for gastric and breast cancers showed significant increase from 2007–2012 in both areas. More effort should be implemented and focused on the improvement of cervical cancer screening rates which showed significant lower cancer screening rates compared to the other cancers in both areas.
Cerebellar Contribution in Emotional Faces Based on a Sample of Sleep-Deprived Healthy Young Men
Authors: Chen Xiangling , Lei Shiyu , Wang Yidan , Zhang Kaiming , Wang Dan , Lai Weihong , Shao Yongcong , Liu Fangfang , Weng Xiechuan , Xu Fan 
Published: September 2022

Abstract
Poor sleep is a pervasive public health concern linked to failure in emotion regulation. Brain networks underlying emotional processing are focused on limbic systems and prefrontal and temporal cortices. Clinical cases suggest the role of the cerebellum in affective functioning, yet a few studies have been conducted to investigate this claim in healthy individuals. This study aimed to delineate cerebellar correlation with facial emotional processing using objective facial emotion measurement and two sessions of resting-state functional magnetic resonance imaging. Thirty-five healthy men completed 36 h of total sleep deprivation (TSD). The paired-samples t-test revealed decreased arousal levels for both positive and negative emotions. The correlation analysis showed altered cerebellar functional connectivity with the emotional processing centers (e.g., cingulate cortices, middle frontal gyrus, middle temporal gyrus, and paracingulate cortex). The reported cerebellar subregions included Crus2 and lobules VI, V, and VI–IX. The results of this study indicated facial emotional blunting after TSD and cerebellar involvement in altered affective status. Although the existing treatment targets for sleep disturbance (or sleep-induced disorders) are not as effective as expected, the improved understanding of the cerebellar contribution to emotional processing sheds light on future research directions.
Effects of changes in electrical stimulation parameters on the control of absence epilepsy
Authors: Tan Xiaolong , Zhu Rui , Xie Yan , Chai Yuan 
Published: September 2022

Abstract
Basal ganglia and corticothalamic circuits play important roles in the modulation of absence seizures. However, the regulation of epilepsy by pedunculopontine nucleus (PPN) in the brain is rarely studied, nor the effect of electrical stimulation parameters on absence seizures is fully investigated. Therefore, we developed a network model consisting of a simplified basal ganglia, two corticothalamic circuits and pedunculopontine nucleus. Three electrical stimulations, deep brain stimulation (DBS), 1:0 coordinate reset stimulation (CRS) and 3:2 CRS, are applied to thalamic reticular nucleus (RE) in the first corticothalamic circuit. The results show that increasing the intensity of electrical stimulation can significantly suppress absence seizures and appropriately increasing the frequency and pulse width of electrical stimulation within a certain range can also suppress absence seizures. Under the same electrical stimulation parameters, the inhibitory effect of DBS on epilepsy was better than that of 1:0 CRS and 3:2 CRS. We hope these findings can be applied to treat epilepsy patients. The advantages and functions of reduced model are remarkable and the optimal combined stimulus parameters were set theoretically. This work provides a reduced model containing PPN and a theoretical reference for future clinical stimulation experiments.
Direct Electrosynthesis of Cyclohexanone Oximefrom Cyclohexanone and Nitrite in Water at Ambient Conditions
Authors: Wu Yongmeng , Zhao Jinghui , Wang Changhong , Li Tieliang , Zhao Bohang , Song Ziyang , Zhang Bin 
Published: September 2022

Abstract

Cyclohexanone oxime, an important feedstock in nylon-6 production, is conventionally synthesized through cyclohexanone-hydroxylamine (NH2OH) and cyclohexanone ammoxidation methodologies. These strategies require complicated procedures, high temperatures, noble metal catalysts, and toxic SO2or H2O2 usage. Here we report a one-step electrochemical strategy to synthesize cyclohexanone oxime from nitrite (NO2−) and cyclohexanone under ambient conditions using a low-cost Cu-S catalyst, avoiding complex procedures and H2O2 usage. 92% yield, 99% selectivity, and 26% Faradic efficiency of cyclohexanone oxime are achieved. The reaction undergoes a NO2-→ NH2OH→oxime reaction pathway. The amplified electrolysis experiment and techno-economic analysis confirm the practical potential of our method. This study opens a mild, economical, and sustainable way for the alternative/complementary production of cyclohexanone oxime.
Differential proteomic profile of lumbar and ventricular cerebrospinal fluid
Authors: Rostgaard Nina , Olsen Markus Harboe , Ottenheijm Maud , Drici Lylia , Simonsen Anja H. , Plomgaard Peter , Gredal Hanne , Poulsen Helle Harding , Zetterberg Henrik , Blennow Kaj , Hasselbalch Steen G , MacAulay Nanna , Juhler Marianne 
Published: September 2022

Abstract
Background: Pathological cerebral conditions may manifest in altered composition of the cerebrospinal fluid (CSF). Although diagnostic CSF analysis seeks to establish pathological disturbances in the brain proper, CSF is generally sampled from the lumbar compartment for reasons of technical ease and ethical considerations. We here aimed to compare the molecular composition of CSF obtained from the ventricular versus the lumbar CSF compartments to establish a relevance for employing lumbar CSF as a proxy for the CSF bathing the brain tissue.
Methods: CSF was collected from 46 patients with idiopathic normal pressure hydrocephalus (iNPH) patients during their diagnostic workup (lumbar samples) and in connection with their subsequent CSF diversion shunt surgery (ventricular samples). The mass-spectrometry-based proteomic profile was determined in these samples and in addition, selected biomarkers were quantified with ELISA (S100B, neurofilament light (NfL), amyloid-β (Aβ40, Aβ42), and total tau (T-tau) and phosphorylated tau (P-tau) forms). The latter analysis was extended to include paired porcine samples obtained from the lumbar compartment and the cerebromedullar cistern closely related to the ventricles.
Results: In total 1,231 proteins were detected in the human CSF. Of these, 216 distributed equally in the two CSF compartments, whereas 22 were preferentially (or solely) present in the ventricular CSF and four in the lumbar CSF. The selected biomarkers of neurodegeneration and Alzheimer’s disease displayed differential distribution, some with higher (S100B, T-tau, and P-tau) and some with lower (NfL, Aβ40, Aβ42) levels in the ventricular compartment. In the porcine samples, all biomarkers were most abundant in the lumbar CSF.
Conclusions: For a range of CSF proteins and biomarkers, one can reliably employ lumbar CSF as a proxy for ventricular CSF. However, the overall proteomic profile differs between these compartments, and so does the distribution of clinically employed biomarkers. It is therefore important to verify the compartmental preference of the proteins or biomarkers of interest prior to extrapolating from lumbar CSF to that of the ventricular fluid bordering the brain.
Influence of antibiotic therapy on clinical outcomes of patients with Stenotrophomonas maltophilia blood stream infection in the intensive care unit
Authors: Lai Jiun-Ji , Siu L. Kristopher , Chang Feng-Yee , Lin Jung-Chung , Yu Ching-Mei , Wu Rui-Xin , Wang Ching-Hsun 
Published: September 2022

Abstract
Background: The aim of this study was to assess the relationship between appropriate antibiotic therapy and the outcome in intensive care unit (ICU) patients with bloodstream infection (BSI) due to Stenotrophomonas maltophilia.
Methods: ICU patients with monomicrobial BSI due to S. maltophilia admitted during the period from January 2004 to December 2019 were included. The included patients were divided into two groups—those with- and without appropriate antibiotic therapy after BSI—for comparison. The primary outcome was the relationship between appropriate antibiotic therapy and 14-day mortality. The secondary outcome was the influence of different antibiotic therapies: levofloxacin- and trimethoprim–sulfamethoxazole-containing regimens, on 14-day mortality.
Results: A total of 214 ICU patients were included. One hundred thirty-three patients receiving appropriate antibiotic therapy after BSI had a lower 14-day mortality than those (n = 81) who did not receive an appropriate antimicrobial therapy (10.5% vs. 46.9%, p < 0.001). After a propensity score matching, 61 well-balanced matched pairs showed similar results of regarding the association of appropriate antibiotic therapy with a lower 14-day mortality (11.5% vs. 39.3%, p< 0.001). Furthermore, proportional hazards regression for propensity score-matched cohort consistently revealed that APACHE score (hazard ratio (HR) 1.118, 95% confidence interval (CI) 1.056–1.184, p < 0.001) and appropriate antibiotic therapy (HR 0.222, 95% CI 0.095–0.518, p = 0.001) were independent factors associated with 14-day mortality. Among ICU patients receiving appropriate antibiotic therapy, those receiving a levofloxacin-containing regimen exhibited a trend toward lower 14-day mortality after BSI onset than those receiving a trimethoprim–sulfamethoxazole regimen (HR 0.233, 95% CI 0.050–1.084, p = 0.063)
Conclusion: Appropriate antibiotic therapy was associated with decreased 14-day mortality in ICU patients with S. maltophilia BSI. No significant efficacy differences were noted between levofloxacin- and trimethoprim–sulfamethoxazole-containing regimens in treating S. maltophilia BSI.
Systematic Health Artificial Intelligence (SHAI) - A pathology based NLP model for improved predictive diagnostics in personalised medicine
Authors: Hussain Shaista 
Published: September 2022

Abstract
The Systematic Health Artificial Intelligence (SHAI) model trains on data from medical records and clinical laboratory results to temporally identify disease markers with subsequent pathologies, more efficiently and accurately than is done in the current analog practice. The aim of the SHAI model is to gauge a patient’s medical prognostic status based on a conglomerate of data to predict lurking, occult or comorbid pathologies.Newfound associations and predictions would support clinicians in terms of comprehensively visualising a patient’s health profile, both in real-time and for the future. Proxy findings would also help to establish personalised references ranges for clinical pathological investigations of body fluids. The SHAI model processes EMR progress text-based notes through a NLP ‘Bag of Words’ system, which enables the neural network to train in word representation and ‘weigh’ words of proximity. Using ‘forward propagation’ of the vectors will allow for output activation from hidden and non-hidden layers of the developing neural network architecture, to then use ‘multiclass classification’ as the vector contents grow with new data. This manuscript identifies 8 key questions to be addressed by diagnostic ML models and explains SHAI’s design as it pertains to maximising human benefit and minimising bias. Despite the automaticity of this laboratory medicine solution, physician end-users remain essential to the diagnostic process and final clinical judgements.
Patients with Polyvascular Disease: A Very High-risk Group
Authors: Manolis Antonis A. , Manolis Theodora A. , Manolis Antonis S. 
Published: September 2022

Abstract:
Polyvascular disease (PolyvascDis) with atherosclerosis occurring in >2 vascular beds (coronary,
carotid, aortic, visceral and/or peripheral arteries) is encountered in 15-30% of patients who experience
greater rates of major adverse cardiovascular (CV) events. Every patient with multiple CV risk
factors or presenting with CV disease in one arterial bed should be assessed for PolyvascDis clinically
and noninvasively prior to invasive angiography. Peripheral arterial disease (PAD) can be readily diagnosed
in routine practice by measuring the ankle-brachial index. Carotid disease can be diagnosed by
duplex ultrasound showing % stenosis and/or presence of plaques. Coronary artery disease (CAD) can
be screened by determining coronary artery calcium score using coronary computed tomography angiography;
further, non-invasive testing includes exercise stress and/or myocardial perfusion imaging or
dobutamine stress test, prior to coronary angiography. Abdominal ultrasound can reveal an abdominal
aortic aneurysm. Computed tomography angiography will be needed in patients with suspected mesenteric
ischemia to assess the mesenteric arteries. Patients with the acute coronary syndrome and concomitant
other arterial diseases have more extensive CAD and poorer CV outcomes. Similarly, PolyvascDis
in patients with carotid disease and/or other PAD is independently associated with an increased risk for
all-cause and CV mortality during long-term follow-up. Treatment of patients with PolyvascDis should
include aggressive management of all modifiable risk factors by lifestyle changes and drug therapy,
with particular attention to patients who are commonly undertreated, such as those with PAD. Revascularization
should be reserved for symptomatic vascular beds, using the least aggressive strategy in a
multidisciplinary vascular team approach.