bluuebunny/crossref_metadata_2025_split huggingface dataset:
RARB, a gene associated with MSI gastric cancer, affects progression and prognosis of gastric cancer
Authors: Cai Xufan , Lin Wenfa , Wu Fang , Song Guangyuan , Wang Yu , Qian Zhenyuan 
Published: October 2023

Abstract

MSI gastric cancer exhibits greater sensitivity to immunotherapy due to its own characteristics. Here, we firstly identified the RARB gene associated with MSI gastric cancer, which was positively correlated with mismatch repair proteins(MMR).Although relatively low in expression in MSI gastric cancer, RARB promotes gastric cancer progression and leads to poor prognosis. However, we found that in cellular experiments, lowering the expression of RARB accelerated the proliferation, invasion and migration of cancer cells and promoted the EMT. The contradictory reasons for these two results may be related to the tumor immune microenvironment. RARB may be a potential target for the treatment of gastric cancer.
Anesthesia recovery nursing of radical prostatectomy assisted by Da Vinci robot
Authors: Huang Liufang , Wu Wenyan , Wu Yaoye , Li Fang , Chen Xusu , Huang Yuchan , Zhou Qiao , Zhang Huaying , Luo Yongli , Liu Huixian , Tan Jiayu , Wen Shihong 
Published: October 2023

Abstract
Objective To explore the anesthetic recovery nursing of laparoscopic radical prostatectomy with Da Vinci robot.
Methods A total of 100 patients who underwent Da Vinci robotic laparoscopic radical prostatectomy at our hospital between July 2021 and July 2022 were randomly assigned to 2 groups with 50 patients in each group. Patients in the control group were treated with routine nursing, patients in the research group were treated with Da Vinci specialist group perianaesthesia nursing on the basis of the control group, and the difference of anesthesia recovery nursing effect between the two groups was compared.
Results The waking time, spontaneous breathing time, extubation time and total recovery time in the study group were significantly lower than those in the control group, and the daily sleep time was significantly higher than that in the control group, with statistical significance (P<0.05). HR, MAP, VAS and PSQI in study group were lower than those in control group. The difference was statistically significant (P<0.05). The nursing satisfaction of patients in the study group was significantly higher than that in the control group, and the incidence of nursing risk events was significantly lower than that in the control group, with statistical significance (P<0.05).
Conclusion The Da Vinci robot can effectively reduce the pain in the early stage of recovery, improve the sleep quality, shorten the recovery time from anesthesia, improve the psychological state of patients and reduce the occurrence of nursing risk events, which is worth promoting in clinical practice.
Investigation the effect of wearing N95 respirators during COVID-19 pandemic on salivary PH and flow rate of dentistry stuffs and students of QAZVIN Dental Faculty
Authors: loo Mehrshad Faghih , shadvar Mohammadreza Samadi , Lamei Nima , mohammadloo Saeid Beik , Mirzadeh Monirsadat , Zarabadipour Mahdieh 
Published: October 2023

Abstract
Background: Recent pandemic (covid-19) led to wearing face masks for hours a day by healthcare workers. The effect of wearing N95 respirators on salivary pH and flow rate during the COVID-19 pandemic evaluated in this study.
Methods: In this semi-experimental study recruited 100 participants. They asked to use the standard face masks (N95 respirators) for 4 hours and then salivary pH and flow rate was evaluated. Data analysis was done using SPSS software version 23.
Results: There wasn’t a statistically significant difference between mean values of salivary pH and its secretion flow rate before and after mask use with respect to smoking and drinking alcohol status. T Pre- and post-mask analysis demonstrated that the mean salivary pH value differed significantly among participants with positive history of COVID-19, but not the flow rate.
Conclusion: According to the present study, the pH values and salivary flow rate did not change before and after using the face masks, but among the people who had a history of covid-19, the salivary pH value changed.
Classification of Flow-based Network Applications using Fuzzy Logic
Authors: Khan Afaq Ahmad , Farooq Muhammad Umar 
Published: October 2023

Abstract

Ever since the boom of social media, the internet has drastically changed our lives. From social mediaplatforms, Industry 4.0, Big Data, Cloud Computing to Augmented and Virtual reality, the amountof data on the internet has increased on an unprecedented scale, and it is not going to decrease in theyears to come. This increasing amount of data puts a huge strain on today’s network infrastructure. Itis the need of the hour to keep the internet infrastructure up-to-date to tackle the upcoming challenges.Internet Network Traffic Classification is thus a new paradigm in which lightweight sophisticatedalgorithms are designed and tested on live networks. This problem has been focused a lot with thehelp of Machine and Deep learning tools. These models do provide a high accuracy of result, but canbecome complex problems depending upon the specific application. In this paper, a Fuzzy Logic basedLightweight Classification Architecture is proposed and implemented to successfully identify Audioand Video from other Network Traffic (NT) applications. A detailed elaboration of features extractedfrom a variety of applications is presented. Fuzzy logic is used to distinguish among the classes basedon human intuition based rules. To verify the proposed algorithm, flow-based network captures isused to identify whether the correct class of network traffic is predicted or not. The results obtainedfrom the Fuzzy logic is also compared with traditional Logistic regression and kNN based MachineLearning algorithms to showcase the superiority of Fuzzy logic.
Effects of Machining Parameters on Spectral Entropy of Acoustic Emission Signals in the Electroerosion
Authors: Ferreira Samuel Soares , Maia Luís Henrique Andrade , Amorim Fred Lacerda 
Published: October 2023

Abstract
Understanding and optimizing mechanical manufacturing processes is essential for sustainable industrial development. Among unconventional machining methods, Electrical Discharge Machining (EDM) distinguishes itself by its capability to remove material through successive electrical discharges submerged in a dielectric fluid. EDM encompasses intricate phenomena influenced by machine parameters, dielectric choice, and the materials involved. Unlike conventional machining, EDM operates with the tool electrode in close proximity to, but not in physical contact with, the workpiece, achieving material removal through localized overheating. This study focuses on monitoring EDM phenomena during the machining of AISI H13 steel, exploring variations in machining parameters and electrode materials (electrolytic copper and graphite). Acoustic Emission (AE) signals and Machine Learning (ML) are employed for experimental characterization and data analysis. Spectral Entropy is applied to AE signals, quantifying inherent signal uncertainty. The findings reveal remarkable accuracy (97.7%) and underscore the superior control achieved with graphite electrodes in managing machining phenomena compared to electrolytic copper electrodes.
Hospital management and Challenges During COVID-19 Outbreaks: lessons from a level 1 hospital in the southeast of Iran-case study
Authors: Esmaeilian Saeid , Mohajeri Elham , Hoseinyazdi Meisam , Ghorbani Mohammad , Rahmanipour Elham , Sarmast Kamran 
Published: October 2023

Abstract
Introduction: The global outbreak of COVID-19 has presented hospitals worldwide, particularly those in low-resource settings, with unparalleled difficulties. This case study outlines our experiences in the management of a level 1 hospital located in the southeastern part of Iran, characterized by significant poverty rates and low health indices.Case presentation: Our two years of experience in our Hospital in Rask, Iran, from 2020 to 2022, described encountered many obstacles, including deficiencies in infrastructure, personnel, resources, equipment, financial means, and external assistance. In addition, a range of measures were undertaken, including infrastructure repairs and renovations, the expansion of bed capacity, the establishment of an intensive care unit, staff training initiatives, collaboration with external influencers, and the localization of protocols. The experience yielded useful insights, highlighting the significance of a dynamic and efficient management team, establishing connections with pre-hospital care units, engaging in effective communication with external influencers, and integrating workers in the decision-making process.Conclusion: We anticipate that our case Study will offer valuable insights and guidance for other healthcare facilities facing comparable circumstances.
Emergence of the invasive beetle Anomala denuda Arrow 1819 (Coleoptera: Scarabaeidae) adult as a major pest of maize in Côte d’Ivoire
Authors: GBON Gueu Adolphe , BOGA Jean-Pierre , JOHNSON Félicia , KISSI Thérèse Appoh Perrine , TOFEL Haman Katamssadan 
Published: October 2023

Abstract
In previous studies, the adult A. denula beetle was not classified as a major crop insect pest. The objective of this study was to elucidate the beetle's potential to inflict substantial damage to the crop as its larvae. The study was carried out on an experimental plot covering 2592m2, in the South region of Côte d'Ivoire. Peaks of A. denuda beetle abundance on the plot occur during the flowering stage of maize, between the 48th and 58th days after sowing. The study of the daily influx period revealed that the feeding and mating activities of the beetle were high between 10 pm and 12 am. Attack by this beetle has a significant impact on maize production when it happens between 1 and 6 days after flowering. Over the course of the three cropping years, yield losses of 26.62%, 32.31% and 21.35% were recorded in 2019, 20202 and 2021 respectively, resulting in an average loss of 26.76% attributable to the adult A. denuda. These results underscore the severity of A. denuda adult attacks on maize cultivation in the Guinean zone, questioning the previous notion that only larval stage was considered to cause serious damages. The present study reveals that the adult of this beetle is, therefore, capable of causing significant damage to maize crops, thus emphasising the necessity to implement effective and environmentally friendly control methods against A. denuda.
Oral Candida carriage and resistance against common antifungal agents in hematopoietic stem cell transplantation recipients
Authors: Mauramo Matti , Tonoz Nurgül , Halter Jörg , Joseph Betsy , Waltimo Tuomas 
Published: October 2023

Abstract
Purpose
Allogeneic hematopoietic stem cell transplant (HSCT) recipients receiving long-term and high-dose immunosuppressive medications suffer commonly from oral candida infections. This prospective cohort study examined oral fungal carriage in HSCT recipients and screened the susceptibility against commonly used antifungal agents. An increasing oral occurrence of Candida spp. and the development of resistance against clinically administered fluconazole were hypothesized.
Methods
Two hundred HSCT recipients were included and followed up for two years post-HSCT. Oral microbiological specimens were analyzed with Matrix-Assisted Laser Desorption / Ionization -Time of Flight Mass Spectrometry assays (MALDI-TOF). The colorimetric method was applied for the susceptibility testing by commercially available Sensititre YeastOne (SYO®, TREK Diagnostics Systems, Thermo-Fisher, UK).
Results
The prevalence of oral Candida spp. carriage increased statistically significantly after a year post-HSCT being 30, 26, 35, 44, and 47%, pre-HSCT, 3, 6, 12, and 24 months post-HSCT, respectively. Altogether 169 clinical oral Candida strains were isolated. Fourteen Candida spp. were identified, and C. albicans was predominant in 74% of the isolates pre-HSCT with a descending prevalence down to 44% two years post-HSCT. An increasing relative proportion of non-albicans species post-HSCT was evident. No development of resistance of C. albicans against fluconazole was found. Instead, a shift from C. albicans towards non-albicans species, especially C. dubliensis, C. glabrata and relatively seldom found C. krusei, was observed.
Conclusion
Oral Candida carriage increase after HSCT. Instead of the expected development of resistance of C. albicans against fluconazole, the relative proportion of non-albicans strains with innate resistance against azole-group antifungals increased.
Development of electron optical capabilities for manufacturing of large components by Electron Beam Welding
Authors: Dutilleul Thomas , Widdison Robert , Kyffin William 
Published: October 2023

Abstract
Electron beam welding (EBW) is a fast process that shows promise to use for high productivity welding of thick section components in the nuclear Industry. Nuclear AMRC has been working for many years on devloping the use of EBW for Small Modular Reactor (SMR) applications, such as joining thick section pressure vessel components. The major strength of EB is the single pass process that can radically reduce fabrication times. This is also one of the major issues with EB. The stress on the welding operator is high as any error generally means failure. For in chamber EB operation, such as the Pro-beam K2000 system at Nuclear AMRC, once the chamber is closed the only interaction between the operator and the work piece is through a camera or the electron beam. Tracking features of the material or the joint line is important to gather as much information on the situation as possible. Nuclear AMRC have used the functions of the Pro-beam multimode to gain reliability during welding. The team has demonstrated that the beam can be setup to high precision, assess whether a work piece has been correctly installed, a large joint can be fully seam tracked and features can be extracted from the data giving indication whether a joint can be safely welded or not. The system can automatically warn the operator if some situations are reached i.e., too large joint gap, too high magnetism and can correct itself.
Enfortumab vedotin prolonged overall survival in metastatic urothelial carcinoma compared to standard of care following pembrolizumab treatment
Authors: Uemura Koichi , Ito Hiroki , Kawahara Takashi , Jikuya Ryosuke , Tatenuma Tomoyuki , Ito Yusuke , Komeya Mitsuru , Muraoka Kentaro , Hasumi Hisashi , Hayashi Narihiko , Uemura Hiroji , Makiyama Kazuhide 
Published: October 2023

Abstract
Objective
In December 2021, enfortumab vedotin (EV), an antibody-drug conjugate (ADC) directed against nectin-4, was approved as a new treatment after platinum-containing chemotherapy and PD-1/PD-L1 inhibitors in Japan. This study aimed to evaluate, using real-world data, the efficacy and safety of EV therapy in patients with metastatic urothelial carcinoma (mUC).
Materials and Methods
Exactly 50 patients with mUC who discontinued pembrolizumab therapy due to disease progression between June 2018 and December 2022 at Yokohama City University Hospital were retrospectively evaluated. Of the 50 patients, 20 received EV therapy (EV group) and 30 received standard care (SOC group). All patients who underwent EV therapy were diagnosed with disease progression after EV approval in Japan.
Results
The median (interquartile range) follow-up period after pembrolizumab discontinuation was 4.2 (1.3–11.3) months. There were six (30%) deaths due to cancer in the EV group, with 27 (90.0%) in the SOC group. The overall survival (OS) after pembrolizumab discontinuation was not reached versus 2.6 months (p < 0.001) in the EV and SOC groups. Multivariate analysis revealed that lactate dehydrogenase levels (hazard ratio [HR] 1.01; 95% confidence interval [CI] 1.00–1.05; p = 0.04) and treatment after pembrolizumab (EV versus SOC group; HR 0.10; 95%CI 0.04–0.29; p < 0.001) were independent prognostic factors for OS.
Conclusion
EV prolonged OS in mUC patients compared with the standard of care following pembrolizumab treatment.
Artificial Neural Network-Based Surface Reconstruction Model of Wire-Arc Additively Manufactured Surfaces using Discrete Cosine Transfer
Authors: Banaee Seyed Aref , Sharma Abhay 
Published: October 2023

Abstract
The unique arc-based additive manufacturing process boasts exceptionally high deposition rates, but it comes with a trade-off – the generation of highly irregular surfaces that demand extensive post-machining efforts. These post-processing activities not only consume critical raw materials but also substantial energy resources. To mitigate these challenges and enhance process efficiency, it is crucial to develop predictive capabilities for surface topography based on key process parameters like wire feed speed and travel speed. In this study, a surface topography model is meticulously developed to reconstruct surfaces, utilizing wire feed speed, travel speed, and inter-pass temperature as input parameters. The initial phase involves identifying pertinent surface features that collectively define the surface. Out of the features examined, eight representative attributes emerge, including spatial average roughness, spatial peak height, spatial maximum valley depth, spatial skewness, spatial kurtosis, maximum flatness, and waviness. The surface reconstruction model employs the discrete cosine transform (DCT), necessitating a minimum of 30 DCT parameters for accurate surface reconstruction. Additionally, an ANN model is established to predict DCT parameters based on wire feed speed, travel speed, and inter-pass temperature inputs. Validation using the 309L stainless steel test material demonstrates the model's impressive accuracy in predicting DCT parameters, enabling precise forecasts of overall surface topography and machining allowances. This model lays the foundation for simulation-based additive-subtractive process design by identifying optimal deposition conditions and corresponding machining parameters. Furthermore, it streamlines the integration of realistic surfaces into computational models for additive process simulations, offering significant potential for improving additive manufacturing processes.
Modifiable Risk Factors for Cancer in the Middle East and North Africa: A scoping Review
Authors: Mansour Razan , Al-Ani Abdallah , Al-Hussaini Maysa , Abdel-Razeq Hikmat , Al-Ibrahim Akram , Mansour Asem H. 
Published: October 2023

Abstract
Purpose: This scoping review examines controllable predisposing factors attributable to cancer in the Middle East and North Africa (MENA) region's adult population, highlighting opportunities to enhance cancer prevention programs.
Design: We systematically searched the PubMed, Science Direct, and CINAHL, EMBASE, and Cochrane Library databases from 1997 to 2022 for articles reporting on the impact of modifiable risk factors on adult patients with cancer in the MENA region.
Results: The review identified 42 relevant articles, revealing that tobacco consumption, obesity, physical inactivity, and diet are significant modifiable risk factors for cancer in the region. Tobacco smoking is a leading cause of lung, bladder, squamous cell carcinoma, and colorectal cancer. A shift towards a westernized, calorie-dense diet has been observed, with some evidence suggesting that a Mediterranean diet may be protective against cancer. Obesity is a known risk factor for cancer, particularly breast malignancy, but further research is needed to determine its impact in the MENA region. Physical inactivity has been linked to colorectal cancer, but more studies are required to establish this relationship conclusively. Alcohol consumption, infections, and exposure to environmental carcinogens are additional risk factors, although the literature on these topics is limited.
Conclusion: The review emphasizes the need for further research and the development of targeted cancer prevention strategies in the MENA region.
Exploring van der Waals materials with high anisotropy: geometrical and optical approaches
Authors: Novoselov Kostya , Slavich Aleksandr , Ermolaev Georgy , Tatmyshevskiy Mikhail , Toksumakov Adilet , Matveeva Olga , Grudinin Dmitriy , Voronin Kirill , Mazitov Arslan , Kravtsov Konstantin , Syuy Alexander , Tsymbarenko Dmitry , Mironov Mikhail , Novikov Sergey , Kruglov Ivan , Ghazaryan Davit , Vyshnevyy Andrey , Arsenin Aleksey , Volkov Valentyn 
Published: October 2023

Abstract
The emergence of van der Waals (vdW) materials resulted in the discovery of their giant optical, mechanical, and electronic anisotropic properties, immediately enabling countless novel phenomena and applications. Such success inspired an intensive search for the highest possible anisotropic properties among vdW materials. Furthermore, the identification of the most promising among the huge family of vdW materials is a challenging quest requiring innovative approaches. Here, we suggest an easy-to-use method for such a survey based on the crystallographic geometrical perspective of vdW materials followed by their optical characterization. Using our approach, we found As2S3 as a highly anisotropic vdW material. It demonstrates rare giant in-plane optical anisotropy, high refractive index and transparency in the visible range, overcoming the century-long record set by rutile. Given these benefits, As2S3 opens a pathway towards next-generation nanophotonics as demonstrated by an ultrathin true zero-order quarter-wave plate that combines classical and the Fabry-Perot optical phase accumulations. Hence, our approach provides an effective and easy-to-use method to find vdW materials with the utmost anisotropic properties.