bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rate, Causes, and Predictors of Readmission within 60 Days Following Total Laryngectomy
Authors: Rammal Almoaidbellah , Alqutub Abdulsalam , Alsulami Omar , Mozahim Naif , Mozahim Sara , Awadh Mohammed , Hakami Muatasaim , AlThomali Rahaf , Mogharbel Ahmed 
Published: October 2023

Abstract
Background:
The readmission rate is a metric for quality of care. Total laryngectomy (TL) is a complex procedure, and patients undergoing TL are at high risk for readmission, which exposes them to hospital-acquired complications. We aimed to identify the rate, causes, and predictors of hospital readmission within 60 days after discharge following TL.
Methods:
In this retrospective study, we included all patients undergoing TL in a single tertiary care center between 2008 and 2022. Patient charts were reviewed for demographics, comorbidities, and causes for readmission.
Results:
Of 83 patients who underwent TL, 12 (14.5%) were readmitted within 60 days. Common causes were surgical site infection (33.33%) and mucocutaneous fistula (25%). Significant predictors for readmission were tobacco use (P = 0.003), African ethnicity (P = 0.004), being unmarried (P < 0.001), lower preoperative serum albumin (P < 0.001), higher preoperative TSH (P = 0.03), higher preoperative neutrophil count (P = 0.035), higher American Society of Anesthesiology (ASA) score (P = 0.028), and higher Cumulative Illness Rating Scale (CIRS) score (P = 0.029).
Conclusion:
The rate of readmission after total laryngectomy was 14.5%. Frequent causes include wound infection and fistulas. Predictors include preoperative hypoalbuminemia, hypothyroidism, African ethnicity, being unmarried, tobacco use, and a higher baseline burden of comorbidities. Such factors can be targeted to reduce hospital readmission rates.
Repeatability and reliability of the Kinefis Podia plantar pressure platform.
Authors: Sánchez-Valero Clara , Corral-Liria Inmaculada , Jiménez-Fernández Raquel , Casado-Hernández Israel , López-López Daniel , Navarro-Flórez Emmanuel , Pérez-Boal Eduardo , Martínez-Jiménez Eva María , Palomo-López Patricia 
Published: October 2023

Abstract
Introduction: Abnormal plantar pressures are the distinguishing feature of various pathological conditions and abnormalities. For accurate and rapid detection of patients and as an aid to correct treatment we use pressure platforms. Therefore, it is essential to evaluate the reliability and repeatability of these devices before making clinical decisions to be sure of our results. The purpose of this study was to determine the reliability of the Kinefis Podia platform in static and dynamics.
Material and methods: To determine the reliability and repeatability of the Kinefis Podia platform for the study of plantar pressures in statics and dynamics parameters forty-seven healthy individuals stood and walked on the pressure platform. Three measurements were recorded with each foot in statics and dynamics position and two sessions were performed. The data obtained were several variables of interest for inter-session reliability were calculated using intraclass correlation coefficients (ICC), standard error of measurement (SEM), percentage error and coefficient of variation (CV).
Results: Reliability and intersession between static and dynamic sessions produced moderate to excellent CHF, low SEM, low percentage errors, and low CV. Static trials had higher ICCs, lower error rates, and lower CVs compared to dynamic trials. Inter-session reliability also had higher ICCs, lower percentage errors, and lower CVs compared to inter-session reliability.
Conclusion: This study demonstrates that the Kinefis Podia platform is a reliable and reproducible device to collect footprint pressures. Static tests produce better reliability, probably due to the inherent great variability during dynamic running. These results can be used as a basis for future studies and to determine a priori sample sizes for research using the Kinefis Podia Platform.
2023 Turkey-Syria Earthquakes: Analysis of pediatric victims admitted to a tertiary center
Authors: Döven Serra Sürmeli , Tezol Özlem , Yeşil Edanur , Durak Fatma , Mısırlıoğlu Merve , Alakaya Mehmet , Karahan Feryal , Kıllı İsa , Akça Mehtap , Erdoğan Semra , Can Mevlüt , Delibaş Ali 
Published: October 2023

Abstract
Background: On February 6th, 2023, two consecutive earthquakes occurred in southeastern Türkiye, of which the epicenter for both was Kahramanmaraş, with magnitudes of 7.7 and 7.6, respectively. Herein, it was aimed to analyze the clinical and laboratory findings, and management of pediatric victims admitted to our center.
Methods: Patients who were admitted to our center after the earthquakes were included in the study. Clinical and laboratory characteristics of the patients were taken from their records.
Results: Included in the study were 649 pediatric earthquake victims. Acute kidney injury (AKI) was observed in 16 patients. White blood cell count (15624.06 ± 7964.67, 11807 ± 1.93 × 103/mL, P < 0.001), creatinine (0.76 ± 1.04 vs. 0.42 ± 0.52 mg/dL, P = 0.021), and C-reactive protein (74.00 ± 76.96 vs. 19.70 ± 38.94 mg/L, P < 0.001) levels were higher, while the sodium (133.78 ± 5.38 vs. 136.67 ± 5.41 mEq/L, P < 0.001) levels were lower in the patients with Crush Syndrome (CS) compared to the non-CS patients. Intravenous fluid replacement was administered to the patients with CS at a dose of 4000 cc/m2/day. Hypokalemia was observed in 51.9% of the CS patients on the third day. All of the patients with AKI ameliorated and no deaths occurred.
Conclusions: Hyponatremia and an increase in inflammation markers may be observed associated with CS. Hypokalemia may be seen as a complication of vigorous fluid therapy during hospitalization. Early fluid replacement therapy is essential to prevent the development of AKI in patients with CS.
Study on performance of passive flexible device based on tube-piercing machine of tubular heat exchanger
Authors: Gai Chao hui , Gao Ze yu , Wang Cheng Gang 
Published: October 2023

Abstract
This article analyzes the conditions for the assembly of pipes through rough inner walls of axial holes without jamming and designs a passive-compliant device based on repulsive magnetic forces to solve the jamming issue encountered during the assembly of copper pipes and axial holes. In the passive-compliant device, two repulsive magnetic forces are placed internally. During the assembly process, the end effector is separated from the axial hole, and the torque generated by the rotational push-pull of the passive compliant device is used to overcome the jamming point and quickly return to its original position. By measuring the magnitude of the force using a force sensor at the end of the axial hole, experiments were conducted on axial holes with different offset angles and clearances. The results indicate that there is a gap between the copper pipe and the inner wall of the axial hole. When the offset angle is less than 15° and the axial hole clearance is smaller than 5.5mm, the copper pipe can effectively and quickly pass through the axial hole. With the damping coefficient k set to 0.1, the assembly time can be effectively shortened to no more than 7.2 seconds without affecting the ability of the copper pipe to overcome the jamming phenomenon. This article conducted numerical simulations of the piercing process and analyzed that the controlled range of offset angles is between 15° and 21°, while the controlled range of the clearance within the axial hole is between 5mm and 14mm. These parameters enable overcoming the jamming phenomenon and facilitate effective pipe insertion.
Numerical investigation on the behaviors of railway embankment under normal faulting
Authors: Chen Haohua , Liu Jiankun , Li Zhijian , Liu Xiaoqiang , Nan Jiyun , Liu Jingyu 
Published: October 2023

Abstract

Active faults in the earthquake region are consistently regarded as a potential geological hazard to the construction and operation of railway engineering. However, crossing active faults is always difficult to be avoided for railway construction. In this paper, three-dimensional finite element models are established to study the behaviors of the railway embankment under normal faulting. The constitutive model used in the soil layer is validated by using the data of the centrifuge tests from the existing paper. A series of parametric studies are conducted considering the faulting offset, the thickness of the soil layer, the dip angle of the fault and the cross-fault angle of the embankment. Emphasis is given to (1) the affected zones; (2) the vertical displacement, the longitudinal slope, the lateral displacement, and the radius of the curvature of the embankment centerline; (3) the potential regions where the fault ruptures outcrop based on the plastic strain; (4) the stress characteristic of the embankment surfaces. The analysis shows that the increase of faulting offset would increase the value of longitudinal slope in the cross-fault region of the embankment. The existence of soil layer and its thickening would widen the affected zones and the regions where the fault ruptures outcrops. The fault dip angle and the cross fault angle of the embankment have a complex effect on the behaviors of the crossing embankment. The depth of the subsidence zone of the embankment would increase with the decrease of fault dip angle and the large fault dip angle would change the primary fault rupture to be a compressive one directly above the fault line. If the embankment crosses the fault line obliquely, the curvature radius of the centerline would hardly meet the design code.
Development of a Momentum Exchange Coefficient Model for Continuum to Rarefied Planar Laminar Gas Flows
Authors: Alshareef Sultan , Harman Todd , Ameel Tim 
Published: October 2023

Abstract
Gaseous flow in micro-scale systems comprised of moving components experience Fluid-Structure Interaction (FSI) and rarefaction when the length scales are small. While many commercial codes claim the ability to simulate FSI problems, such a combination is very challenging to model. Here we propose a momentum exchange coefficient model within the FSI algorithm, MPM-ICE, that enables the simulation of rarefied flow. The proposed model was derived using the Maxwell first-order velocity slip boundary condition. The model is verified using analytical solutions for pressure-driven Poiseuille and Couette planar flow. In addition, the model is validated using experimental pressure data of microchannel gas flow and DSMC simulation results. Unlike the previous model, the proposed model is more robust and is nearly insensitive to the grid size and the solid particle distribution around the surface. In addition, the model is universal since it is applicable for flow in the continuum and slip regimes.
Mutually beneficial FAB consortia fortify stress resistance of Euglena mutabilis: evidence from sequencing, antibiotics, and Cd challenges
Authors: Kaszecki Emma , Palberg Daniel , Grant Mikaela , Griffin Sarah , Dhanjal Chetan , Capperauld Michael , Emery R. J. Neil , Saville Barry J. 
Published: October 2023

Abstract
Background
Synthetic algal-fungal and algal-bacterial cultures have been investigated for technological applications because the microbe interactions enhance growth and improve stress tolerance of the co-cultures. Yet these studies often disregarded natural consortia due to the complexity of environmental samples. The protist Euglena mutabilis is found in association with other microbes in acidic environments with high heavy metal (HM) concentrations. This may suggest that microbial interactions are essential for the alga’s ability to tolerate these extreme environments. Our study assessed the Cd tolerance of a natural fungal-algal-bacterial (FAB) association where the algae is replaced by the photosynthetic protist E. mutabilis.
Results
This study provides the first assessment of antimycotic and antibiotic agents on E. mutabilis. Our results indicate that suppression of associated fungal and bacterial partners significantly decreases the number of viable E. mutabilis cells upon Cd exposure. However, axenic Euglena gracilis recovered and grew well following antibiotic treatments. Interestingly, both Euglena species displayed increased chlorophyll production upon Cd exposure. Finally, the constituent organisms in the E. mutabilis FAB consortia were identified using PacBio sequencing to be a Talaromyces sp and Acidiphilium acidophilum.
Conclusion
This study uncovers a possible tripartite symbiotic relationship, a FAB consortia, that withstands exposure to high concentrations of HM. This unique fungus, bacterium, and E. mutabilis interaction strengthens the photobiont’s resistance to Cd and provides a model for the types of FAB interactions that could be used to create a self-sustaining bioremediation technology.
A Comparative Study of "Internet +" Case-based Learning and Traditional Case-based Learning in an Integrated Instructional Mode
Authors: Wang Xinqi , Wang Jiale , Hu Haoyuan , Zhao Jiahui , Wang Songyun 
Published: October 2023

Abstract
Objective To study the difference between "Internet +" case-based learning (CBL) and traditional CBL in the clinical pathophysiology and therapeutic (CPPT) teaching mode and to provide a foundation and basis for medical teaching reform.
Methods In August 2022, fourth-year students of the First Clinical College of Wuhan University received a "Learning Experience" survey to evaluate the teaching satisfaction and learning harvest of both CBL methods.
Results Overall, "Internet +" group has higher scores in both teaching satisfaction and learning harvest. "Internet +" CBL can improve students' ability to utilize knowledge, collect information and work as a team. However, traditional CBL might reduce the study burden, provide more spare time, and challenge their ability of self-discipline.
Conclusion Under the CPPT teaching mode, "Internet +" CBL are superior to traditional CBL in different degrees. The "Internet +" CBL promising to be put into practice as a new educational mode, but with attention to the issue of learning burden.
Software Reliability Growth Model Selection by using VIKOR Method Based on q-Rung Orthopair Fuzzy Entropy and Distance Measures
Authors: Mateen Farhan , Munir Asim , Nadeem Muhammad 
Published: October 2023

Abstract
Several software reliability growth models (SRGMs) have been proposed in recent years to predict the reliability of software measures such the number of remaining defects, the failure rate of the program, and the dependability of the software. Since they rely on a small set of model selection criteria, the tools and approaches for choosing robust software models found in the literature cannot be employed with great confidence. A crucial challenge is how to prioritize software reliability growth models (SRGMs) using multi-attribute decision-making (MADM). Ultimately, ambiguities and uncertainties in any MADM approach are critical problems. To overcome this, numerous notions and approaches were investigated and a q-Rung orthopair fuzzy set (q-ROFS) is one of the most significant and impressive tools to manage ambiguities and uncertainties. Thus, in this article, for the prioritization of SRGMs, we first, investigate entropy measures (EMs) in the environment of q-ROFS and prove its associated properties. We also investigate tangent distance measures in the setting of q-ROFS and prove the linked properties. After that, we interpret a VIKOR approach in the setting of q-ROFS based on the investigated measures to tackle MADM problems. Through this VIKOR approach in this article, we exhibit the prioritization of SRGMS with the assistance of a numerical example. In order to show that the suggested approaches are more effective and beneficial than the current methodologies, a numerical example of the proposed methodology is shown, along with a detailed comparison of the investigated models with some of the existing methodologies.
Antibiotic Prescribing Patterns in Pediatric Patients using the WHO AWaRe Framework in a Quaternary Hospital in Nampula, Mozambique
Authors: Xavier Sancho Pedro , Silva Ageo Mario Candido Da , Victor Audêncio 
Published: October 2023

Abstract
Background:Antibiotics are often prescribed inappropriately, either when they are not needed or with an unnecessarily broad spectrum of activity. This is a serious problem that can lead to the development of antimicrobial resistance (AMR). This study was conducted to assess the antibiotic prescribing pattern in pediatric patients hospitalized at a quaternary hospital in Nampula, Mozambique, using the WHO indicators and Framework as a reference.
Methods:A cross-sectional study with a quantitative approach was conducted in 2020. The population consisted of children aged 0-10 years hospitalized in a ward of a quaternary-level hospital in Nampula, Mozambique. The prescription pattern was assessed using indicators and the WHO classification of antibiotics into AWaRe categories. Descriptive statistics were applied.
Results:A total of 464 antibiotics were prescribed during the study. The age group of 1-3 years and 28 days-12 months were prescribed more antibiotics. The most common antibiotics were ceftriaxone and crystallized penicillin, which were frequently prescribed for patients suffering from bronchopneumonia, gastroenteritis, and malaria. 74.8% of the antibiotics prescribed belonged to the Access group, while 23.7% belonged to the Watch group. There were no prescriptions of antibiotics from the Reserve group. The average number of antibiotics per prescription was 1.51 (SD ± 0.725). The percentage of antibiotic prescribing was 97.5%, with 96.20% by injection. All antibiotics prescribed were on the essential medicines list and prescribed by generic name.
Conclusion: These results are concerning and highlight the urgency of strengthening antimicrobial optimization measures, as well as implementing the AWaRe framework in antibiotic prescribing as an essential strategy to combat AMR.
Pseudo-color infrared and visible image fusion based on attention-dense network
Authors: Qi Jianhuan , Ni Bo , Zhou Xiaoyan , Ni Haibin , Yang Lingsheng , Chang Jianhua 
Published: October 2023

Abstract
In the existing infrared and visible image fusion algorithms, the texture details of the fused image are not clear, and the display of infrared information and texture details is unbalanced. In this paper, we come up with an image fusion method of pseudo-color infrared and visible images based on attention-dense network. Firstly, the gray infrared image is processed by pseudo-color, and then then it is fused with the color visible image. Secondly, during the training process, a generator network structure composed of convolutional layers and dense connected blocks with attention modules is designed. It focuses on the key information of source images and enhances the ability of the network to obtain the information of the source image. Finally, the content loss function is constructed by using infrared pixels, visible pixels, visible gradient and infrared gradient to keep the stability of infrared target and texture details in the fused image. The comparison experiments with five fusion methods are carried out. They show that the proposed fusion method is significantly improved compared with other fusion methods.
Structural basis of Zika virus NS1 multimerization and human antibody recognition
Authors: Luo Dahai , Chew Bing Liang Alvin , Ngoh An Qi , Phoo Wint Wint , Weng Mei Jie Grace , Chan Kitti Wing Ki , Tan Yong Jun , Gelbart Terri , Xu Chenrui , Wu Bin , Tan Gene , Vasudevan Subhash , Ho Jun Sheng 
Published: October 2023

Abstract

The Zika virus (ZIKV) is a mosquito-transmitted flavivirus related to the dengue virus that has emerged in recent global outbreaks, with previously unreported neurological or birth abnormalities. There remains a large, unmet need for efficacious vaccines and antiviral agents against ZIKV. Flavivirus non-structural protein 1 (NS1) is the only secreted viral protein that has proven useful in diagnostics. However, its physiologically relevant structural forms and pathogenesis mechanisms remain unclear. While many antibodies targeting NS1 with mapped immunodomain epitopes have been reported, antibody-NS1 structures are starting to emerge, which may guide vaccine and therapeutic design. Here, we present high-resolution cryoEM structures of ZIKV recombinant secreted NS1 (rsNS1) and its complexes with three human monoclonal antibodies, as well as evidence of ZIKV infection-derived secreted NS1 (isNS1) binding to HDL. We showed that ZIKV rsNS1 forms tetramers and filamentous repeats of tetramers. The studied antibodies (AA12, EB9, GB5) did not disrupt the ZIKV NS1 tetramers as they bound to the wing and connector subdomain to the β-ladder. Our study reveals new insights into NS1 multimerization, highlights the need to distinguish the polymorphic nature of rsNS1 and isNS1, and expands the mechanistic basis of the protection conferred by antibodies targeting NS1.
An Idiopathic Intracranial Hypertension with bulbar paralysis as the first symptom
Authors: Wang Chen , Zhan Yihong , Xiao Naian , Yu Zhenzhen 
Published: October 2023

Abstract
Idiopathic intracranial hypertension (IIH) is a neurological disorder characterized by markedly increased intracranial pressure getting rid of strokes, tumors or other diseases. Our case describes a middle-aged lady who gained progressive drinking cough, slurred speech and depression that was observed with the magnetic resonance (MR) images of empty sella, buckling and dilatation of the optic nerve sheaths, sigmoid sinus stenosis and brain hernia embedded sigmoid sinus ditch. After decreasing intracranial pressure and improving circulation treatment, the symptoms of the patient improved within half a month. Our case highlights that, an idiopathic intracranial hypertension patient with brain hernia embedded sigmoid sinus ditch besides all the classic magnetic resonance imaging (MRI) appearance, who develop bulbar paralysis as the first symptom instead of classic symptoms such as headache, nausea and vomiting, drastically decreasing intracranial pressure is considered to be effective.
Physics-informed W-Net GAN for the direct stochastic inversion of fullstack seismic data into facies models
Authors: Miele Roberto , Azevedo Leonardo 
Published: October 2023

Abstract
Predicting the spatial distribution of geological facies in the subsurface from fullstack geophysical data is a main step in the geo-modeling workflow for energy exploration and environmental tasks and requires solving an inverse problem. Generative adversarial networks (GAN) have shown great potential for geologically accurate inverse modeling, although with limitations in computational costs and in accounting for uncertainty in the prediction of facies-dependent properties. To overcome this limitation, we propose a GAN architecture for multivariate inverse modeling, which is able to learn the physics-based mapping between facies and seismic domains, and account for the spatial uncertainties of the facies and elastic properties. In a single training stage, the network models a distribution of realistic facies patterns solving a seismic inversion problem, based on the observed data, and learned features. The method is first demonstrated on 2-D application examples, and then applied for the inversion of a 2-D seismic section extracted from the Norne field (Norwegian North Sea). The results show that through fast training, the proposed GAN can model facies distributions fitting the observed data, reproducing the prior facies patterns and the data uncertainty, while honoring the physics of the system under investigation.