bluuebunny/crossref_metadata_2025_split huggingface dataset:
entre lenguas y culturas: las traducciones de Don pedro II
Authors: Romanelli Sergio 
Published: August 2023

En este artículo presento uno de los proyectos desarrollados dentro del marco de NUPROC (Centro de estudios de procesos creativos www.nuproc.cce.ufsc.br) del Departamento de lenguas y literaturas extranjeras de la UFSC. SE trata de una investigación sobre el proceso de traducción que siguió don Pedro II. Los documentos utilizados son manuscritos de las diversas traducciones que realizó el Emperador, correspondencia que durante toda su vida intercambió con algunos intelectuales europeos y americanos, así como páginas de sus diarios; todo esto nos ofrece informaciones de interés particular sobre la actividad traductiva y sobre la actividad intelectual lato sensu.
Mothers' health problems of children with congenital heart disease: a qualitative method
Authors: Tavangar Hossein , Vaezi Ali Akbar , Sherafat Asghar , Hadadzadeh Mehdi , Pourmohammadali Raheleh 
Published: August 2023

Objectives: This study was done to address the physical and mental health problems experienced by mothers of children with congenital heart disease (CHD).
Methods: This study was conducted by a qualitative approach in 2021 at Yazd Afshar Hospital, in which 10 mothers were selected by purposive sampling technique. A semi-structured interview was used to collect data, and data analysis was performed through conventional content analysis. Two university lecturers determined the validity of the interview questions, and the reliability of the data was verified by a researcher trained in coding.
Results: Data analysis identified the base theme i.e. the threat to health, and subthemes including physical and psychological problems of the parent(s). Components of subthemes consisted of physical manifestations, physical self-harm, anxiety and worry, mental self- harm, impatience and helplessness, isolation, withdrawal, and denial.
Conclusions: The results show that mothers suffer from a variety of experiences ranging from physical problems and illnesses to mental problems. An in-depth understanding of the phases of parenting under pressure provides direction for nurses to support parents of children with CHD. Interventions that help carers of children with complex health conditions move through the phases of our parenting under pressure process can help them maintain their children's survival and their survival as parents as they manage multiple needs. Therefore, the hospital should provide supportive procedures to better deal with the problem.
Examining the Effects of Online Travel Agents on Room Revenue
Authors: Sabudi I Nyoman Sukana , Suta I Putu Alit Aswina , Witarsana I Gusti Agung Gede 
Published: August 2023

Purpose of the study: This study aims to determine the impact of online travel agent distribution channels on the Revenue Per Available Room (RevPAR) at Aloft Bali Seminyak over two years (2021-2022).
Methodology: This study employs classical assumption tests, simple linear regression tests, t-tests, and coefficient of determination tests. These analyses were performed using IBM SPSS version 25 software.
Main Findings: The study found that online travel agent distribution channels significantly influence RevPAR at Aloft Bali Seminyak. The impact, quantified at 59%, is considered strong or high, leaving 41% potentially influenced by factors not evaluated in this study.
Applications of the study: The findings of this study are applicable in the hospitality industry, specifically to hotel operations and revenue management. Additionally, they can assist online travel agencies in understanding their influence on hotel revenues.
Novelty/Originality of the study: This study presents novel insights into the substantial influence of online travel agent distribution channels on hotel revenue, specifically RevPAR. It advances existing knowledge by quantifying this impact and opens the door for further exploration of the remaining 41% of unexplained influence.
Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis
Authors: Imani Mehdi , Arabnia Hamid Reza 
Published: August 2023

In this paper, a variety of machine learning techniques, including Artificial Neural Networks, Decision Trees, Support Vector Machines, Random Forests, Logistic Regression, and three gradient boosting techniques (XGBoost, LightGBM, and CatBoost), were employed to predict customer churn in the telecommunications industry using a publicly available dataset. To address the issue of imbalanced data, various data sampling techniques, such as SMOTE, the combination of SMOTE with Tomek Links, and the combination of SMOTE with Edited Nearest Neighbors, were implemented. Additionally, hyperparameter tuning was utilized to optimize the performance of the machine learning models. The models were evaluated and compared using commonly used metrics, including Precision, Recall, F1-Score, and the Receiver Operating Characteristic Area Under Curve (ROC AUC).
The results revealed that the performance of the models was enhanced by the application of hyperparameter tuning and the combined data sampling methods on the training data. Overall, LightGBM demonstrated superior performance compared to the other machine learning techniques examined. The findings indicate that LightGBM exhibited a superior performance both prior to and following the application of these techniques.
The increase of cortical volume in the early stage of a valproic acid model of autism may be due to a compensatory mechanism
Authors: Li Xiaomeng , Tian lu , Wang longlun , Zhang yun , Qin Bin , cai jinhua 
Published: August 2023

Abstract
Background & Aim:
Studies have found brain enlargement in early autism. However, it is not clear which brain regions are enlarged and the mechanism of the enlargement. In this study, we established an autism model and used magnetic resonance imaging (MRI) to determine whether brain volume was increased in the early stages of autism and to explore its underlying mechanism.
Methods
The autism model was established by prenatal exposure to valproic acid (VPA) in pregnant rats. At the age of 4 weeks, the offspring rats were identified by using the three-chamber social interaction test, open field test and self-grooming test. T2-weighted images of all subjects were obtained, and the cortex volume of the region of interest(ROI) was automatically extracted and measured, and correlated with the autism-like behaviors. The GAD67 expression was tested by western blot and immunofluorescence, and its correlation with the brain volume was analyzed.
Results
Behavioral tests confirmed the success of the autism model establishment in offspring rats. MRI showed that the volume of prefrontal cortex (PFC) and temporal cortex (TC) increased significantly in VPA rats than in healthy control (HC) group (p < 0.05). In VPA group, The TC volume was negatively correlated with the communication time between the tested rats and the stranger (r=-0.82, P = 0.01). The PFC volume was negatively correlated with the times that the tested rats crossed all lines in the open field (r=-0.87, P = 0.005), and positively correlated with the grooming time (r = 0.83, P = 0.01).Western blotting and immunofluorescence showed that the expression of GAD67 in the HC, PFC and TC in VPA group decreased significantly (P < 0.05).The expression level of GAD67 was negatively correlated with the volume of HC (r=-0.79, p = 0.02), PFC (r=-0.72, P = 0.04) and TC (r=-0.72, P = 0.04) respectively.
Conclusion
The volume of some brain regions increased in the early stage of VPA rats, which was similar to that of human autism. The enlargement of some brain regions in early autism may be due to a compensatory mechanism, in which the brain volume increases to amend the imbalance of the excitement-inhibition system.
Advantage of ultramicro-invasive surgical instruments in laparoscopic sleeve gastric surgery
Authors: Lu Xiaojing , Zhou Jingning , Zhuang Zequn , Wang Jing , Ding Yongyong , Chen Yigang 
Published: August 2023

Abstract
Objective
To investigate the safety and effectiveness of ultra-minimally invasive surgical instruments in laparoscopic sleeve gastrectomy (LSG).
Methods
A total of 134 patients, including 67 patients who underwent 4-hole LSG, 29 patients who underwent 3-hole LSG, and 38 patients who underwent ultra-minimally invasive laparoscopic sleeve gastrectomy (ULSG), from July 2018 to December 2022 were included in this study. The operation times, bleeding volumes, and pain scores among the three groups (4-hole LSG group, 3-hole LSG group, ULSG group) were compared.
Results
The bleeding volumes in the 4-hole LSG group, 3-hole LSG group, and ULSG group were 6.6 ± 5.1 ml, 10.0 ± 4.9 ml, and 5.6 ± 3.3 ml, respectively. The operation times in the 4-hole LSG group, 3-hole LSG group, and ULSG group were 103.8 ± 21.3 min, 122.9 ml ± 24.0 min, and 110.7 ± 30.0 min, respectively. The pain scores in the 4-hole LSG group, 3-hole LSG group, and ULSG group were 5.0 ± 2.0, 4.0 ± 1.5, and 3.9 ± 1.6, respectively. However, one case each of gastric leakage (1.49%), gastric stenosis (3.45%), and severe vomiting (2.63%) were reported in the 4-hole LSG, 3-hole LSG group, and ULSG group, respectively (P = 0.909).
Conclusion
Ultra-minimally invasive instrument-assisted LSG (ULSG) is a safe and convenient operation that enhances skin beauty. Besides, the method of picking, blocking, and pulling can better expose the visual field and cut the gastric tissue.
CHMP4C promotes the progression and cisplatin resistance of non-small cell lung cancer via the PI3K/AKT signaling pathway
Authors: Ren Bi , Gou Hao-Cheng , Zhang Qin , He Li-Ping , Xue Lin-Feng , Sun Jin-Hong , Jiang Li 
Published: August 2023

Abstract
Aims
The objective of this study was to investigate the expression and mechanism of chromatin-modifying protein 4C (CHMP4C) in non-small cell lung cancer (NSCLC). The study aimed to provide novel perspectives on the diagnosis and treatment of NSCLC.
Methods
In order to investigate the impact of CHMP4C on NSCLC, the expression of CHMP4C and its correlation with the prognosis of patients were examined by the GEPIA platform and UALCAN database. To validate the expression, immunohistochemistry (IHC), quantitative real-time PCR (qPCR), and western blot experiments were conducted. Additionally, lentivirus (shRNA) technology was utilized to downregulate the expression of in H1299 and SKMES1 cells. Cell Counting Kit-8 (CCK-8) and cell clone assays were performed to assess cell proliferation and the role of CHMP4C in regulating cisplatin sensitivity. The cell cycle and apoptosis were detected using Flow Cytometry. Furthermore, the relationship between CHMP4C and the PI3K/AKT signaling pathway was investigated through western blotting.
Results
CHMP4C exhibited a high level of expression in both NSCLC tissues and cell lines. Additionally, the expression of CHMP4C was significantly associated with the TNM stage of the tumors, and higher CHMP4C expression was linked to poorer prognosis. The results of the cell experiments showed that CHMP4C expression was significantly higher in H1299 and SKMES1 cells compared to the normal lung epithelial cells BEAS-2B. Suppression of CHMP4C significantly impeded the proliferation of H1299 and SKMES1 cells by delaying the cell cycle and promoting apoptosis through the PI3K/AKT signaling pathway. Moreover, an interesting phenomenon was made during the study: the expression of CHMP4C protein was reduced by cisplatin treatment. Knockdown of CHMP4C enhanced the therapeutic sensitivity of NSCLC cells to cisplatin.
Conclusion
CHMP4C plays a crucial role in NSCLC proliferation and cisplatin resistance, potentially through the PI3K/AKT signaling pathway. These findings provide valuable experimental evidence for the clinical treatment of NSCLC.
Investigating the Influence of Different Electrodes on the Synthesis of Biodiesel from Palm Oil and Waste Cooking Oil via Electrolysis Processes
Authors: . Darwin 
Published: August 2023

Abstract
The influence of various electrodes used in the synthesis of biodiesel from palm oil and waste cooking oil via electrolysis processes was studied. The results revealed that electro-catalysts introduced to the transesterification of palm oil and waste cooking oil had significantly enhanced their biodiesel yields. The use of graphite electrode in the transesterification of waste cooking oil via electrolysis could generate the yield of biodiesel was about 87% while the production of biodiesel from palm oil using platinum electrode could have biodiesel yield about 90%. The use of electro-catalysts to the transesterification of waste cooking oil and/or palm oil may produce biodiesel with low acid number (0.2–0.4 mg KOH/g), which was lower than that of the ASTM standard. The utilization of electro-catalysts to the transesterification of waste cooking oil and palm oil could lower the ash content of the produced biodiesel (0.0015–0.002%), which was lower than that of the standard of biodiesel established by ASTM (0.01%). The process of transesterification of palm oil and waste cooking oil via electrolysis could also generate biodiesel with low viscosity (< 5 mm2/s), which met the ASTM and European standards.
RayBNN: A 3-D Biological Neural Network Transfer Learning Model
Authors: Yuen Brosnan , Dong Xiaodai , Lu Tao 
Published: August 2023

Abstract

Training large neural networks on big datasets requires significant computational resources and time. Transfer learning reduces training time by pre-training a base model on one dataset and transferring the knowledge to a new model for another dataset. However, current transfer learning algorithms are extremely limited because the transferred models always have to adhere to the dimensions of the base model and can not easily change the neural architecture to solve new datasets. On the other hand, biological neural networks (BNNs) are adept at rearranging themselves to tackle completely different problems using transfer learning. Taking advantage of BNNs, we design a novel neural network that is transferable to any other network architecture and can accommodate many datasets. Our novel approach uses raytracing to connect neurons in a three-dimensional space, allowing the network to grow into any shape or size. In the Alcala dataset, our transfer learning algorithm trains the fastest across changing environments and input sizes. In the future, this network may be considered for implementation on real biological neural networks to decrease power consumption.
Prospective Phase II Trial of Preoperative Hypofractionated Proton Therapy for Extremity and Truncal Soft Tissue Sarcoma: the PRONTO Study Rationale and Design
Authors: Gogineni Emile , Chen Hao , Hu Chen , Boudadi Karim , Engle Jessica , Levine Adam , Deville Curtiland 
Published: August 2023

Abstract
Background: Oncologic surgical resection is the standard of care for extremity and truncal soft tissue sarcoma (STS), often accompanied by the addition of pre- or postoperative radiation therapy (RT). Preoperative RT may decrease the risk of joint stiffness and fibrosis at the cost of higher rates of wound complications. Hypofractionated, preoperative RT has been shown to provide acceptable outcomes in prospective trials. Proton beam therapy (PBT) provides the means to decrease dose to surrounding organs at risk, such as the skin, bone, soft tissues, and adjacent joint(s), and has not yet been studied in patients with extremity and truncal sarcoma.
Methods: Our study titled “PROspective phase II trial of preoperative hypofractionated protoN therapy for extremity and Truncal soft tissue sarcOma (PRONTO)” is a non-randomized, prospective phase II trial evaluating the safety and efficacy of preoperative, hypofractionated PBT for patients with STS of the extremity and trunk planned for surgical resection. Adult patients with Eastern Cooperative Group Performance Status ≤2 with resectable extremity and truncal STS will be included, with the aim to accrue 40 patients. Treatment will be 5 fractions of PBT followed by surgical resection. The primary outcome is rate of major wound complications as defined according to the National Cancer Institute of Canada Sarcoma2 (NCIC-SR2) Multicenter Trial. Secondary objectives include rate of late grade ≥2 toxicity, local recurrence-free survival and distant metastasis-free survival at 1- and 2-years, functional outcomes, quality of life, and pathologic response.
Discussion: PRONTO represents the first trial evaluating the use of hypofractionated PBT for STS. We aim to prove the safety and efficacy of this approach and to compare our results to historical outcomes established by previous trials. Given the low number of proton centers and limited availability, the short course of PBT may provide the opportunity to treat patients who would otherwise be limited when treating with daily RT over several weeks. We hope that this trial will lead to increased referral patterns, offer benefits towards patient convenience and clinic workflow efficiency, and provide evidence supporting the use of PBT in this setting.
Trial registration: NCT05917301 (registered 23/6/2023).
Smart Glasses Use Experience of Nursing Graduate Students: Qualitative Study
Authors: Calik Afra , Ozkul Denizhan , Kapucu Sevgisun 
Published: August 2023

Abstract

Background: Immersive technology such as smart glasses can benefit nursing training and clinical practice. In this paper, we explore the views of nursing graduate students about their experience with smart glasses.
Methods: Nursing graduate students (n = 13) were recruited using purposeful sampling. They were first exposed to a virtual reality intervention aimed at diabetic ketoacidosis in nursing care. This was attempted to familiarize participants with the technology and initiate conversations around its use in nursing care. Participants were then interviewed either online or face to face. Data were analyzed manually using the thematic analysis method by Braun & Clarke.
Results: The study findings indicated that the use of smart glasses as an enjoyable learning experience and immersive games positively affected nursing students. In addition, it was determined that they had negative experiences such as cost, lack of infrastructure, and smart glasses side effects.
Conclusions: Smart glasses indicate good usability and availability effects in nursing education and potential for use in hospital nursing practice.
Knowledge-based intervention improves older adult recognition memory for novel activity, but not event segmentation and memory for event order
Authors: Payne Karissa B. , Brazil Cristiane Kauer , Apel Maria , Bailey Heather 
Published: August 2023

AbstractAlthough episodic memory declines with age, older adults are often able to make use of relevant knowledge to support episodic memory. More specifically, prior knowledge may support the perception of meaningful events through the process of event segmentation. We sought to test whether increasing older adults’ knowledge for novel activities (i.e., Tai chi, making gyozas) would improve segmentation and, in turn, memory. We conducted an online, pre-registered intervention in which eighty older adults were recruited based on being novices in each of the targeted activities. Participants completed segmentation and memory tests before and after being randomly assigned to one of two interactive virtual workshops (learning how to practice Tai chi or make gyoza). Each workshop consisted of two one-hour sessions during which an expert provided information about the activity and demonstrated it in a step-by-step fashion. We found that the intervention led to increased learning and recognition memory for the trained activity; however, there were no significant improvements in segmentation behavior, free recall, or memory of sequential information. These findings indicate that either more knowledge training is necessary to affect segmentation, or that segmentation is guided by perceptual features in the environment rather than one’s conceptual understanding of the activity.
Observations of amyloid breakdown by proteases over time using scanning acoustic microscopy
Authors: Miura Katsutoshi , Iwashita Toshihide 
Published: August 2023

Abstract
Amyloid consists of insoluble beta-fibrillar proteins with stable structures. The gold standard Congo red staining method for histologically detecting amyloid yields unstable results. Scanning acoustic microscopy (SAM) detects the attenuation of sound (AOS) through sections. This study aimed to clarify whether AOS values reflected the amount of amyloid degradation in tissues. Formalin-fixed paraffin-embedded sections of various types of amyloidosis were digested with different endopeptidases. The sections were incubated at 37°C, and the AOS images obtained via SAM were observed over time. The corresponding Congo red-stained images were observed via light microscopy (LM). The amyloid and nonamyloid portions were examined over time to determine the changes in the AOS values. The AOS values were significantly reduced in most amyloid specimens after digestion. Background areas with high AOS masked the reduction in AOS in the amyloid areas. Most of the amyloid areas showed high AOS values before digestion and a significant decrease after digestion; these findings corresponded with the disappearance and waning of the Congo red staining in the LM images. The method used in this study may help determine the appropriate treatment method for removing amyloid deposits from tissues.