bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ernesto Sabato Antes del fin: pensamiento autobiográfico y cuidado de sí
Authors: Urriago Hernando 
Published: March 2023

El propósito del artículo es ofrecer una lectura del libro Antes del fin, de Ernesto Sabato, catalogado como memorias y, por ende, vinculable al repertorio de las escrituras autobiográficas que se produjeron en América Latina a finales del siglo XX. Para esto apelamos a las nociones de pensamiento autobiográfico, yo tejedor, cuidado de sí y parresía, relacionadas con la teoría de la autobiografía y la hermenéutica del sujeto. Sustentamos la idea de que lejos del pesimismo propiode la vejez melancólica, a Sabato lo anima una actitud esperanzada frente a los jóvenes, a quienes invita a luchar por la preservación de la utopía. Con esto esperamos no solo resaltar la importancia de la obra autobiográfica del escritor argentino, sino abrir la posibilidad para estudiarlo en función de la tradición de la Literatura del Yo en América Latina que él ayudó a consolidar.
Substance Use Among Asian American Adults in 2016–2020: A Difference-in-Difference Analysis of a National Survey on Drug Use and Health Data
Authors: Yan Yueqi , Yoshihama Mieko , Hong Jun Sung , Jia Fan 
Published: March 2023

Objectives. To compare substance use among Asian American adults in 2020, when anti-Asian violence increased, with substance use among the same group during the previous 4 years and compare this with that of non-Hispanic Whites. Methods. Using data from the National Survey on Drug Use and Health, 2016 to 2020, we investigated changes in substance use among Asian Americans compared with non-Hispanic Whites before and during the COVID-19 pandemic. We performed difference-in-difference analyses to estimate adjusted changes in past-month substance use in the 2 groups. Results. The incidence rate ratio (IRR) among Asian Americans’ past-month alcohol use, cocaine use, and tranquilizer misuse in 2020 versus in 2016 to 2019 was 1.3 times, 3.0 times, and 17.2 times, respectively, the same IRR among Whites. Conclusions. The significant increase in misuse of several substances among Asian Americans relative to Whites in 2020 calls for careful assessment, identification, and treatment of this understudied population group. Public Health Implications. Besides increasing Asian substance users’ access to socioculturally responsive treatment programs, policy and resources should be focused on multilevel violence prevention efforts such as antiracial discrimination public education programs. (Am J Public Health. 2023;113(6):671–679. https://doi.org/10.2105/AJPH.2023.307256 )
Fast estimation of loader's shovel load volume by 3D reconstruction of material piles
Authors: Wu Binyun , Wang Shaojie , Lin Haojing , Li Shijiang , Hou Liang 
Published: March 2023

Abstract

Fast and accurate measurement of the volume of earthmoving materials is of great significance for the real-time evaluation of loader operation efficiency and the realization of autonomous operation. Existing methods for volume measurement, such as total station-based methods, cannot measure the volume in real time, while the bucket-based method also has the disadvantage of poor universality. In this study, a fast estimation method for a loader’s shovel load volume by 3D reconstruction of material piles is proposed. First, a dense stereo matching method (QORB–MAPM) was proposed by integrating the improved quadtree ORB algorithm (QORB) and the maximum a posteriori probability model (MAPM), which achieves fast matching of feature points and dense 3D reconstruction of material piles. Second, the 3D point cloud model of the material piles before and after shoveling was registered and segmented to obtain the 3D point cloud model of the shoveling area, and the Alpha-shape algorithm of Delaunay triangulation was used to estimate the volume of the 3D point cloud model. Finally, a shovel loading volume measurement experiment was conducted under loose-soil working conditions. The results show that the shovel loading volume estimation method (QORB–MAPM VE) proposed in this study has higher estimation accuracy and less calculation time in volume estimation and bucket fill factor estimation, and it has significant theoretical research and engineering application value.
Effect of scheduled feeding on duration of weaning patients from Mechanical Ventilator (MV) and length of stay in ICU--A clinical trial study
Authors: Javdan Sakineh , Asadizaker Marziyeh , Molavynejad Shahram , Mansouri Anahita , Latifi ُSeyed Mahmoud 
Published: March 2023

Abstract
Introduction: Metabolic and nutritional status are influential in the condition of the patients under MV and the ability to separate from it. This study was conducted to determine the effect of scheduled feeding on duration of weaning patients and length of stay in ICU.
Methods: In this clinical trial with a post-test design, 42 patients admitted to the ICUs of Golestan and Imam Khomeini hospitals of Ahvaz, Iran who were under MV were randomly assigned to two groups of control and intervention. In the intervention group, Standard Entera Meal solution was used for energy supply. Administration of the solution starts from 50 cc and every 3 hours add 30 cc to reach the calculated energy in 48-72 hours. For the control group, homemade hospital solutions were used according to routine. Data were collected by demographic and medical information questionnaire, and interventions recording checklist then analyzed by using SPSS software version 23.
Results: The results showed that the length of stay of patients in ICU was significantly affected by the scheduledfeeding (P = 0.004) and although in this study the duration of weaning patients from MV was numerically shorter in the intervention group than in the control group, but this difference was not statistically significant (5.23 ± 4.77 vs. 7.71 ± 6.14 minutes, P = 0.15).
Conclusion: The scheduled nutrition can reduce the length of stay patients in ICU and also duration of weaning from the MV, although it was not statistically significant.
Evaluating the Impact of Continuing Professional Development Courses on Physician Behavioral Intention: A Pre-Post Study with Follow-Up at Six Months
Authors: Kanyinga Felly Bakwa , Gogovor Amédé , Dofara Suélène Georgina , Gadio Souleymane , Tremblay Martin , Daniel Sam J. , Rivest Louis-Paul , Légaré France 
Published: March 2023

Abstract

Background Continuing professional development (CPD) for health professionals includes educational activities to maintain or improve skills. We evaluated the impact of a series of CPD courses by identifying factors influencing physicians' intention to adopt targeted behaviors and assessing self-reported behavior adoption six months later. Methods In this pre-post study, eligible participants attended at least one in-person course at the Fédération des Médecins Spécialistes du Québec annual meeting in November 2019. Before and afterwards, participants completed CPD-REACTION, a validated questionnaire based on Godin’s integrated model for health professional behavior change that measures intention and psychosocial factors influencing intention. We used Wilcoxon signed-rank test to compare pre- and post-course intention scores and linear regression analyses to identify factors influencing intention. We also compared the post-course intention scores of participants reporting a behavior change six months later with the scores of those reporting no behavior change six months later. Qualitative data were analyzed using the Theoretical Domains Framework. Results A total of 205/329 course attendees completed CPD-REACTION (response rate 62.3%). Among these participants, 158/329 (48%) completed the questionnaire before CPD courses, 129/329 (39.2%) only after courses and 47/329 (14.3%) at 6 months. Study population included 192 physicians of which 78/192 (40.6%) were female; 59/192 (30.7%) were between 50 and 59 years old; and 72/192 (37.5%) were surgical specialists. Mean intention scores before (n = 158) and after (n = 129) courses were 5.74 (SD = 1.52) and 6.35 (SD = 0.93) respectively. Differences in mean (DM) intention before and afterwards ranged from − 0.31 (p = 0.17) to 2.25 (p = 0.50). Multivariate analysis showed that beliefs about capabilities (β = 0.15, p = 0.001), moral norm (β = 0.75, p < 0.0001), and beliefs about consequences (β = 0.11, p = 0.04) influenced post-course intention. Post-course intention was correlated with behavior six months later (DM = 0.63; p = 0.02). Qualitative analysis showed that facilitators to behavior adoption after six months were most often related to the TDF domains of beliefs about capabilities. Most frequent barriers to adoption related to lack of resources. Conclusions To increase effectiveness of future CPD courses, CPD providers could increase participants’ intention by including interventions that emphasize beliefs about capabilities, moral norm and beliefs about consequences.
Drug discovery in Rheumatoid Arthritis-induced Osteonecrosis of the Femoral Head
Authors: Yang Bo , Wang Pu , Liu Yang , Cao Fujiang 
Published: March 2023

Abstract

Background:Rheumatoid arthritis is a common inflammatory disease, with osteonecrosis of the femoral head being one of its common complications. However, the treatment of "osteonecrosis of the femoral head " is limited with insufficient drug development. The aim of this study is to explore molecular pathways and core genes associated with rheumatoid arthritis-induced osteonecrosis of the femoral head and investigate pharmacological targeting therapy for rheumatoid arthritis-induced osteonecrosis of the femoral head.Methods:In this analysis, intersection genes involved with both " rheumatoid arthritis " and "osteonecrosis of the femoral head " were identified using the Gene-Cards database, followed by functional analysis. The software programs STRING Online and Cytoscape were used to build protein-protein interaction (PPI) networks. Upon completion of the drug-gene interaction study, core genes and potential medicines were identified.Results:The Gene-Cards database discovered a total of 110 genes overlapped by "rheumatoid arthritis " and "osteonecrosis of the femoral head ". Following functional analysis, 108 important genes were selected. Subsequently, PPI analysis revealed 29 genes that may be targeted by 12 medicines and were candidates to treat rheumatoid arthritis-induced osteonecrosis of the femoral head.Conclusions:We used the Gene-Cards database and pathway analysis to identify highly related genes between " rheumatoid arthritis " and "osteonecrosis of the femoral head " and to explore potential therapeutic drugs. The following genes were investigated: HGF, MMP9, IL-1, EP300, SERPINC1, PLG, F5, and APOA1 are all involved in rheumatoid arthritis-induced osteonecrosis of the femoral head. It was found that fondaparinux, garcinol, canakinumab, and andecaliximab could be used as promising medications to treat rheumatoid arthritis-induced osteonecrosis of the femoral head.
Fully flexible high-density implantable neural probes for electrophysiology recording and controlled neurochemical modulation
Authors: Chamanzar Maysamreza , Malekoshoaraie Mohammad , Wu Bingchen , Krahe Daniela , Ahmed Zabir , Pupa Stephen , Jain Vishal , Cui Xinyan Tracy 
Published: March 2023

Abstract

Targeted delivery of neurochemicals and biomolecules for neuromodulation of brain activity is a powerful technique that, in addition to electrical recording and stimulation, enables a more thorough investigation of neural circuit dynamics. We have designed a novel flexible neural implant capable of controlled, localized chemical stimulation and high-density electrophysiology recording. To minimize tissue damage and response, the neural probe was implemented with a small cross-sectional dimension using planar micromachining processes on Parylene C, a mechanically flexible, biocompatible substrate. The probe shank features two large microelectrodes (chemical sites) for drug loading and sixteen small microelectrodes for electrophysiology recording to monitor neuronal response to drug release. To reduce the impedance while keeping the size of the microelectrodes small, poly(3,4-ethylenedioxythiophene) (PEDOT) was electrochemically coated on recording microelectrodes. In addition, PEDOT doped with mesoporous sulfonated silica nanoparticles (SNP) was used on chemical sites to achieve controlled, electrically-actuated drug loading and releasing. Different neurotransmitters, including glutamate (Glu), and gamma-aminobutyric acid (GABA), were incorporated into the SNPs and electrically triggered to release repeatedly. An in vitro experiment was conducted to quantify the stimulated release profile by applying a sinusoidal voltage (0.5 V, 2 Hz). The flexible neural probe was implanted in the barrel cortex of the wild-type Sprague Dawley rats. As expected due to their excitatory and inhibitory effects, Glu and GABA release caused a significant increase and decrease in neural activity, respectively, which was recorded by the recording microelectrodes. This novel flexible neural probe technology, combining on-demand chemical release and high-resolution electrophysiology recording, is an important addition to the neuroscience toolset used to dissect neural circuitry and investigate neural network connectivity.
Development and validation of prognostic machine learning models for short- and long-term mortality among acutely hospitalized patients.
Authors: Jawad Baker Jawad , Shaker Shakir Maytham , Altintas Izzet , Eugen-Olsen Jesper , Nehlin Jan , Andersen Ove , Kallemose Thomas 
Published: March 2023

Abstract

Background: Several scores predicting mortality at the emergency department have been developed. However, all with shortcomings either simple and applicable in a clinical setting, with poor performance, or advanced, with high performance, but clinically difficult to implement. This study aimed to explore if machine learning algorithms could predict all-cause short- and long-term mortality based on the routine blood test collected at admission.
Methods: We analyzed data from a retrospective cohort study, including patients > 18 years admitted to the Emergency Department (ED) of Copenhagen University Hospital Hvidovre, Denmark between November 2013 and March 2017. The primary outcomes were 3-,10-,30-, and 365-day mortality after admission. PyCaret, an automated machine learning library, was used to evaluate the predictive performance of fifteen machine learning algorithms using the area under the receiver operating characteristic curve (AUC).
Results: Data from 48841 admissions were analyzed, of these 34190 (70%) were randomly divided into training data, and 14651 (30%) were in test data. Eight machine learning algorithms achieved very good to excellent results of AUC on test data in a of range 0.85-0.90. In prediction of short-term mortality, lactate dehydrogenase (LDH), leukocyte counts and differentials, Blood urea nitrogen (BUN) and mean corpuscular hemoglobin concentration (MCHC) were the best predictors, whereas prediction of long-term mortality was favored by age, LDH, soluble urokinase plasminogen activator receptor (suPAR), albumin, and blood urea nitrogen (BUN).
Conclusion: The findings suggest that measures of biomarkers taken from one blood sample during admission to the ED can identify patients at high risk of short-and long-term mortality following emergency admissions.
WITHDRAWN: Heterogeneous liver tissues with multicellular crosstalk and bile duct morphogenesis through organoid bioprinting
Authors: xue shengnan , Su Yijun , Xu Chengao , Xu Mingen , Yao Rui 
Published: March 2023

Abstract

Liver is dynamic, heterogeneous, and each cell type acts in concert to regulate its function. Currently, heterogeneous liver tissues are typically built from single cells using bioprinting, making crosstalk between cells difficult. Therefore, in vitro morphogenesis is limited, and self-assembled biliary and blood vessels system are absent from manufactured liver tissues. The combination of bioprinting and organoid technique offers spatial and cellular control over three-dimensional (3D) organ tissue manufacturing, allowing to build liver tissues with self-assembled structure in vitro. We developed a high-throughput PDMS microwell platform (PMP) generating uniform and functional hepatic organoid building blocks (HOBBs) which displayed cellular crosstalk and self-assembled structure. For bioprinting process, we developed three-level temperature control system and new quadratic material, i.e., alginate-gelatin-collagen-laminin (AGCL) biomaterial, realizing reproducible construction of liver tissues with requisite cellular density. Under long-term differentiation, bioprinted liver tissues exhibited enhanced hepatobiliary function, intrahepatic bile duct networks and angiogenic potential. Heterogeneous tissues with coexistence of cholangiocytes, endothelial cells, and hepatocytes was constructed. The heterogeneous liver tissues with angiogenesis and bile duct component (HABs) provides a novel tool for morphogenesis study, liver regeneration, drug testing, and disease research.
Optimal Tracking Control for Underactuated Airship
Authors: Atyya Mohamed , ElBayoumi Gamal M. , Lotfy Mohamed 
Published: March 2023

Abstract
Background: A non-linear mathematical model of underactuated airship is derived in this paper based on Euler-Newton approach. The model is linearized with small disturbance theory, producing a linear time varying (LTV)model. The LTV model is utilized to design a linear quadratic tracking (LQT) controller. Two scenarios of LQT are presented in this work according to assumed costates transformations to compute the LQT control law.
Results: The LTV model is verified by comparing its output response with the result of the nonlinear model for a given input signal. It shows an acceptable error margin. The verified LTV model is used in designing the LQT controller. The controller is designed to minimize the error between the output and required states response with acceptable control signals using a weighted cost function. Two LQT controllers are presented in this work based on two different transformations used in solving the differential Riccati equation (DRE). These controllers are tested by a sample trajectory to deduce the characteristics of each assumption. Finally, a hybrid LQT controller is used and tested on circular, helical, and bowed trajectories.
Conclusion: The first assumption of costates transformation has a good tracking performance, but it is sensitive to the change of trajectory profile. Whereas, the second one overcomes this problem due to considering the trajectory dynamics. Therefore, the first assumption is performed across the whole trajectory tracking except for parts of trajectory profile changes where the second assumption is applied.
Analysis of Immune Infiltration and Clinical Significance of Lysosome-Related Genes in Colon Adenocarcinoma
Authors: Zhang Xiang , Xiao Ya-Li , Liu Bo , Shi Xin , Yue Chao , Ma Na , Yao Lun-Guang , Kan Yun-Chao , Tang Cun-Duo 
Published: March 2023

Abstract

Background Immunotherapy has become increasingly important in the treatment of various malignant tumors. The interaction between tumor cells and the tumor microenvironment (TME) plays a crucial role in the efficacy of immunotherapy. The phenotype of cancer cells is thought to be influenced by lysosomal activity. The overall activity of lysosomes, including autophagy, has been shown to inhibit tumor occurrence. Nonetheless, the relationship between lysosomal function in Colon Adenocarcinoma (COAD) and clinical prognosis, immune cell infiltration, and response to immunotherapy remain to be elucidated. Methods We thoroughly determined the relationship between lysosomes and transcription patterns, prognosis, and immune cell infiltration by carefully evaluating 32 lysosomal-related genes (LRGs). Subsequently, we evaluated their value in COAD treatment outcomes and prognosis prediction. Results We explored the genetic changes of LRGs in COAD samples and discovered their expression patterns using the TCGA and GEO databases. We identified two relevant subgroups as well as Established that clinical-pathological features, prognosis, and invasive TME were all associated with Coad mutations. We then developed an LRG_score to predict overall survival (OS) and demonstrated its accuracy as a predictive indicator for COAD patients. We also developed an extremely accurate nomogram chart for the clinical feasibility of LRG_score. Finally, drug sensitivity analysis revealed a strong association between LRG_score and anti-cancer drugs. Conclusion Overall, we identified the prognostic LRG characteristics of COAD patients. This characteristic may help to elucidate the features of TME and explore more effective immunotherapy strategies.
Exploring the antibiogram of soil isolates from an Indian hospital precinct: Link to antibiotic usage
Authors: Kunhikannan Shalini , Thomas Colleen J. , Sumana M N , Franks Ashley E. , Kumar Sumana , Nagarathna S. , Petrovski Steve , Shindler Anya E. 
Published: March 2023

Abstract

Objective Hospitals serve as hotspots of antibiotic resistance. Despite several studies exploring antibiotic resistance in hospitals, none have explored the resistance profile of soil bacteria from a hospital precinct. This study examined and compared the antibiogram of the soil isolates from a hospital and its affiliated university precinct, to determine if antibiotic resistant bacteria were present closer to the hospital. Results 120 soil samples were collected from JSS Hospital and JSS University in Mysore, India across three consecutive seasons (monsoon, winter and summer). 366 isolates were randomly selected from culture. Antibiotic susceptibility testing was performed on 128 isolates ofPseudomonas(n = 73),Acinetobacter(n = 30),Klebsiellaspecies (n = 15) andEscherichia coli(n = 10).Pseudomonasspecies exhibited the highest antibiotic resistance. Ticarcillin-clavulanic acid, an extended-spectrum carboxypenicillin antibiotic used to treat moderate-to-severe infections, ranked highest amongst the antibiotics to whom these isolates were resistant (n = 51 out of 73, 69.9%). Moreover, 56.8% (n = 29) were from the hospital and 43.1% (n = 22) were from the university precinct, indicating antibiotic resistant bacteria were closer to the hospital setting. This study highlights the effect of antibiotic usage in hospitals and the influence of anthropogenic activities in the hospital on the dissemination of antibiotic resistance into hospital precinct soil.