bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic Awareness in Japanese Patients with Advanced Cancer: A Follow-Up Cohort Study
Authors: Hiratsuka Yusuke , Oishi Takayuki , Miyashita Mitsunori , Morita Tatsuya , Mack Jennifer W. , Imai Hiroo , Mori Takahiro , Sakayori Masato , Mori Masanori , Maeda Isseki , Hamano Jun , Ishioka Chikashi , Inoue Akira 
Published: August 2022

AbstractPurpose Patients with advanced cancer have been reported to be more likely to receive goal-concordant care if they have accurate prognostic awareness. However, many patients do not have this awareness. This study aimed to examine prognostic awareness in Japanese patients with advanced cancer. Methods This single-center, follow-up cohort study included Japanese patients with advanced cancer who received chemotherapy at Tohoku University Hospital between January 2015 and January 2016. Patients were surveyed at enrollment and followed up for clinical events for 5 years thereafter. We compared (1) the patients’ prognostic awareness with both actual survival time and physician’s prediction of survival and (2) physician’s prediction of survival time with actual survival. Factors associated with accurate prognostic awareness were identified by univariate analysis. Results Of 133 patients eligible for inclusion in the study, 27 refused to discuss prognostic awareness and 49 answered “I don’t know.” Only 10 (17.5%) of the 57 patients surveyed had accurate prognostic awareness. Forty-three patients (75.4%) were optimistic about their prognosis; however, more than 80% of patients were more optimistic than their physicians about their prognosis. Conclusion A majority of the patients with advanced cancer in this study had prognostic awareness that was more optimistic in comparison with their actual survival, and most were more optimistic than their physicians about their prognosis. Further research is needed to develop programs to facilitate discussion of life expectancy with patients in a manner that is consistent with their preferences.
Functional and personal income distributions
Authors: Patrão Mauro , de Acypreste Rafael 
Published: August 2022

Abstract
The economic relations between functional income distribution and the three main personal income distributions --- total income, wealth, and wages --- are not straightforward in the economic literature. This paper presents an attempt to relate the factor shares and these personal income distributions in a more direct and precise manner. Our analytical result proves that the total income Lorenz curve is always above the weighted average of capital income and wages Lorenz curves, where the factor shares are the weights. We also establish a method to estimate income, wages, or wealth personal distributions when one of them does not exists.
Deciphering the link between membrane signaling and hub genes: bioinformatics prediction and experimental validation in colon cancer
Authors: Roy Ankan , . Niharika , Patra Samir Kumar 
Published: August 2022

Abstract
Visualization of complex topological assemblies and spatiotemporal epigenetic choreography of chromatin territory is emerging for better understanding gene expression. Colon cancer is one of the leading malignant neoplasms and there is still a paucity of information regarding colon cancer. Bioinformatics prediction and analyses helps to identify essential genes and significant pathways linked to the disease and to predict alternative strategies for curative measure. Colon cancer patient sample containing gene expression profile from three independent datasets, including GSE44076, GSE20916 and GSE37364 were downloaded from Gene Expression Omnibus (GEO) and thoroughly screened using the GEO2R tool and Funrich software to find out differentially expressed genes (DEGs) common from all three datasets. Other approaches, including Gene Ontology (GO) and KEGG pathway analysis, Protein-Protein Interaction (PPI) network construction and hub gene investigation, Overall Survival (OS) analysis, gene correlation analysis, methylation pattern analysis, and hub gene-Transcription factors regulatory network construction, were performed and validated using various bioinformatics tool. Initially, we identified 166 DEGs, including 68 up-regulated and 98 down-regulated genes. Up-regulated genes are mainly associated with the Cytokine-cytokine receptor interaction, IL-17 signaling pathway, Extracellular Matrix (ECM)-receptor interaction, Focal adhesion and PI3K-Akt pathway. Down-regulated genes are involved in metabolic pathways, retinol metabolism, Steroid hormone biosynthesis, and bile secretion. After analyzing the protein-protein interaction network, thirty hub genes with high connectivity are selected using the MCODE and cytoHubba plugin. Survival analysis, expression validation, correlation analysis, and methylation pattern analysis were further verified using TCGA data. Finally, we identified COL1A1, COL1A2, COL4A1, SPP1, SPARC, and THBS2 as potential gene hub related to ECM and presumably act as master regulators in colonic cancerogenesis. Moreover, our experimental data demonstrates that disruption of lipid raft and RAS/MAPK signaling cascade affects this gene hub at mRNA and protein level. We identified COL1A1, COL1A2, COL4A1, SPP1, SPARC, and THBS2 as determinant hub genes in colon cancer progression. These may be considered as novel biomarkers and could be targeted for therapeutic intervention. This work proofs for the first time that there is connecting link between membrane signaling hub and gene hub.
Clear cell carcinoma of salivary gland. Clinicpathologic study of 11 cases
Authors: Rocha Glauber Bareia Liberato , de Campos Wladimir Gushiken , Nunes³ Fabio Daumas , Saturno Juvani Lago , Lemos Celso Augusto , de Sousa Suzana Cantanhede Orsini Machado 
Published: August 2022

Abstract
Introduction. Clear cell carcinoma of salivary gland is a rare malignant neoplasm that accounts for less than 1% of salivary gland carcinomas. This term is common in many carcinomas with clear cells; however, it is more specific to hyalinizing clear cell carcinoma. Objective. This research aimed to evaluate histopathological, immunohistochemical, biomolecular, and clinical aspects of clear cell carcinomas of salivary gland cases diagnosed between 1997 and 2018. Materials and Methods. Histological sections, immunohistochemical reactions for cytokeratins 7 and 14 (CK7 and CK14), p63 protein, S-100 protein, and smooth muscle actin (SMA) were assessed, and real-time molecular polymerase chain reaction (RT-PCR) testing was performed to investigate the expression of the EWSR1-ATF1 fusion gene. Results. Eleven lesions with histological and immunohistochemical characteristics of clear cell carcinoma of salivary glands were found, 81.81% occurred in women, 77.77% in white people and the mean age was 56.42 years. The most affected regions were palate and buccal mucosa (36.36% of cases in each of these regions). Histologically, nine cases had hyalinization; neural invasion and necrosis were present in 6 and 2 of the cases, respectively. All cases were positive for periodic acid-Schiff (PAS) and expressed p63 protein and cytokeratins 7 and 14. In the PCR molecular test, 6 lesions showed EWSR1-ATF1 fusion gene. Conclusion. Clear cell carcinoma of salivary glands is more prevalent in women aged between 50 and 60 years. Histology associated with immunohistochemistry often closes the diagnosis. Molecular tests should be used as an aid in diagnosis.
Information Seeking Behavior on Covid-19 Vaccine among Residents of Fagge Local Government Area of Kano, Nigeria
Authors: Msughter Aondover Eric , AduaAdua Suleiman M. , Aondover Perpetua Ogechi 
Published: August 2022

Abstract
In Northern Nigeria, distrust jeopardizes the coronavirus response. On April 11, 2020, after World Health Organisation (WHO) declared the Covid-19 pandemic, Kano State confirmed its first positive Covid-19 case. In the same month, the state witnessed what was described as mysterious deaths, claiming hundreds of lives. Many people in the state believe that Covid-19 is a scam and a grand plot vaccine to reduce population and the government is using it to generate money, which made them rebuff the Covid-19 vaccine. In a state like Kano which was once the epicenter of the disease in Northern Nigeria, the resistance to the Covid-19 vaccine in the state pause a great danger in the fight against the Covid-19 pandemic. Within this context, this study examined information-seeking behavior on the Covid-19 vaccine among residents of the Fagge Local Government Area of Kano State. The study adopts the positivist approach of research design where a survey was used to generate data using a questionnaire. Simple random sampling was used to select the respondents using Taro Yamane’s formula to arrive at a sample size of 400. Based on the findings, the data indicates that social media constitute the major source of information for the Covid-19 vaccine in Fagge local government. The majority of the respondents in Fagge LGA are not satisfied with the information received on the Covid-19 vaccine. The data also indicates that the outcome of information-seeking behavior on the Covid-19 vaccine in Fagge LGA is significantly discouraging. The study concludes that the Health Believe Model can suitably be used and applied in the cases of contextualizing public behavior as regard to their information-seeking behavior using media messages towards the vaccine. This will greatly help in evaluating the implications of the public information-seeking behavior towards the Covid-19 vaccine.
Disturbances of natural and cultural landscape as an element of controversies in tourism – assessment based on the analysis of stress hormones in saliva
Authors: Godlewski Grzegorz , Kugiejko Magdalena , Charmas Małgorzata , Augustyniak Adam , Rybka Jakub 
Published: August 2022

Abstract
Context: The ecology of the natural and cultural landscape is an important decisive factor for tourists planning trips. The emerging disturbances of a landscape may affect not only the perception of tourist values, but also the health of visitors. Objectives: The aim of the study was to determine the relationships between identification of specific elements of a disturbed natural and cultural landscape and basic physiological reactions in study participants, namely the presence of stress hormones in saliva. The authors also intended to verify a new research method in the field of tourism and landscape assessment. Methods: The study participants were students. Samples of saliva were collected after displaying images. Hormone levels (cortisol, DHEA, testosterone) were determined using immunoenzymatic ELISA kits. Results: The results indicate that all respondents were in agreement as to which factors disturbed the landscapes presented. However, their subjective feelings were not reflected in a statistically significant manner in the physiological and biochemical reactions of their bodies. The authenticity of a landscape seems less important to the participants than expected. The lack of a strong reaction to a disturbed landscape is surprising, especially in the context of tourism, in which natural and cultural assets are some of the major factors affecting purchasing decisions and principal travel motives. Conclusions: This research may be a strong prognostic in the context of sustainable tourism and environment protection. This knowledge may be used by planners and spatial development experts in designing landscapes as well as in assessing the visitors'/tourists' perception of a landscape.
Novel aminophosphonate ligand for the preparation of catalytically active silica aerogels with finely dispersed palladium
Authors: Sipyagina Nataliya A. , Malkova Alena N. , Straumal Elena A. , Yurkova Lyudmila L. , Baranchikov Alexander E. , Ivanov Vladimir K. , Lermontov Sergey A. 
Published: August 2022

Abstract
Silica-based aerogels bearing a novel aminophosphonate-containing substituent were prepared. Pd+ 2 and Cu+ 2 ions were introduced into aerogel matrix to form chelated complexes with aminophosphonate moiety. Both complexes securely retain Me+ 2 after supercritical drying (SCD) in CO2. In silica matrix, Pd complex is reduced to metallic Pd after treatment by gaseous H2 at 120°C. In lyogel matrix, Pd complex can also be reduced to metallic Pd upon SCD in isopropanol. Pd-containing aerogel showed excellent catalytic activity in the reaction of C = C and C ≡ C bonds hydrogenation.
Serial volumetric analysis of meningioma after primary external beam radiation therapy and the factors predict the therapeutic response: a retrospective study
Authors: Kim Kyung Min , Kang Ho , Kim Min Sung , Kim Jin Wook , Lee Joo Ho , Park Chul-Kee , Kim Yong Hwy 
Published: August 2022

Abstract
Background: External beam radiation therapy (EBRT) is one of the treatment modalities for meningioma, and there are a few clinical reports about its short-term efficacy. However, studies reporting the long-term clinical outcomes with serial volumetric analysis are rare. This study reports the long-term clinical outcome of primary EBRT for meningioma with a comprehensive analysis of the volumetric changes and the annual reduction rate.Methods: A retrospective analysis was performed of patients who received conventional EBRT as a first-line treatment for meningioma between 1998 and 2020. The clinical outcomes and volumetric changes after primary EBRT were analyzed.Results: A total of 43 cases with a mean follow-up of 86.4 months were included. Most of the meningiomas were located in the skull base (40 cases, 93%). During the follow-up period, the tumor volume decreased in 38 (88.4%) patients and increased in 5 (11.6%) patients. The tumor volume generally decreased up to 6 months after EBRT, and transient volume expansion was observed between 6 and 12 months. When the tumor volume decreased 10% or more during the first 6 months after EBRT, a favorable therapeutic response was achieved. The mean overall reduction rate of tumor volume was 37.1%, and the mean annual reduction rate was 11.3%.Conclusions: Primary EBRT could be a feasible treatment option for meningioma from the perspective of volume control with favorable clinical outcomes.
Quantum Level Instability of Transverse Excitation in Electron Flow
Authors: Akbari-Moghanjoughi M. 
Published: August 2022

Abstract
In current research we use the effective Schrödinger-Poisson model to study a new kind of quantum level instability in an infinite-wall slab electron system. We use the Madelung fluid representation along with the conventional eigenvalue problem techniques in order to solve the linearized coupled differential equations representing the transverse collective linear excitations in the electron gas of arbitrary degree of degeneracy having a constant perpendicular momentum. It is shown that the energy levels of collective electrostatic excitations are doubly quantized due to coupled interactions between single-electron analogous to the classic problem of a particle in a box and collective Langmuir oscillations, which are modulated over single particle quantum state. We also report a new transverse electron slab current plasmon energy level instability caused by the interplay between the wave-like many-electron dispersion and the destabilizing perpendicular electron drift momentum. We further study in detail the parametric dependence of such instability versus different aspects of the quantum system. Such a quantum-level instability may have important applications in characteristic behavior the plasmonic devices and their frequency response. Parametric quantization of drifting electron fluid in a box may also have broad applications in nanoscale quantum device calibration and measurements.
Machine Learning-based Obesity Classification using 3D Body Scanner
Authors: Jeon Seungjin , Kim Minji , Yoon Jiwun , Lee Sangyong , Youm Sekyoung 
Published: August 2022

Abstract

Knowing one's obesity group is very important for healthcare. Obesity can cause various diseases; however, BMI, which is the currently popular standard for judging obesity, does not accurately classify the obese group. This is because BMI just reflects height and weight, ignoring the characteristics of body type. Therefore, we present the idea that reflecting the three-dimensional (3D) measurements of the human body can better classify the obese group than BMI. To prove this, we recruited a total of 160 subjects and collected 3D body scans, Dual-energy X-ray absorptiometry (DXA), and Bioelectrical Impedance Analysis (BIA) data pairwise. Through this, 3D body scan data could be expanded clinically. We proposed a machine learning-based obesity classification framework using 3D body scan data, validated it through Accuracy, Recall, Precision, and F1 score, and compared it with BMI and BIA. BMI had the following values: Accuracy: 0.529, Recall: 0.472, Precision: 0.458, and F1 score: 0.462 while BIA had the following values: Accuracy: 0.752, Recall: 0.742, Precision: 0.751, and F1 score: 0.739. Our proposed model had the following values: Accuracy: 0.800, Recall: 0.767, Precision: 0.842, and F1 score: 0.792 and our accuracy was 80%, which is higher than either BMI at 52.9% or BIA at 75.2%. Our model can be used for obesity management through 3D body scans.
Prediction skills of the CAMS-CSM Climate Forecast System on the South China Sea Summer Monsoon establishment
Authors: Han Tongxin , Wang Lijuan 
Published: August 2022

Abstract
Based on a set of hindcast experiments from 2011 to 2020, the prediction skills of the Chinese Academy of Meteorological Science Climate System Model (CAMS-CSM) climate forecast system on the features of abrupt change, characteristic process around the South China Sea (SCS) Summer Monsoon (SCSSM) establishment and the interannual variations are evaluated by using the ERA5 reanalysis and NOAA OLR data. The predictions are classified into three categories according to the length of lead time, that is, 1-30-, 31-60- and 61-90-day. Skillful prediction on the SCSSM onset pentad (pentads 27–28) are found at three lead times. The prediction skills decrease with the increasing lead times. Further investigation suggests that the transitions of the large-scale circulation around the SCSSM establishment at 200-hPa and 850-hPa can be well captured at three lead times. In the SCS, the transition times of the meridional temperature difference and zonal wind shear at 1-30-day lead time coincide with those of observation. The prediction skills on the characteristic process of the SCSSM onset, including the transition from easterly to westerly, the burst of convection, and the occurrence of rainfall over the SCS, are the best at 1-30-day lead time. The interannual variations of the SCSSM onset can only be reasonably reproduced at 1-30-day lead time. In addition, accurate predictions of the eastward retreat of the West Pacific subtropical high, the establishment of the trough in the Bay of Bengal, and the cyclone in the equatorial western Pacific are critical to the predictability of SCSSM onset.
Pooling Business Intelligence and Dashboard Technology for Decisions Making in Higher Education Institutions
Authors: Sharma Hemant , Joshi Hiren D 
Published: August 2022

Abstract
With the growing importance of information in organisational management and the advancement of information technology, there are now business application systems that assist companies and institutions in making more informed decisions and increasing high organisational efficiency. A company, for example, can use business intelligence, information, and environmental indicators to compare trends and forecast how they will change in the future. Today, business intelligence is one of the most important concepts for management and organisations seeking to lead in global markets and maximise the effectiveness of all of their business activities and processes. The management of a large volume of data can be a time-consuming task if the information is not properly classified and made available when needed. This is especially true in higher education, where massive amounts of data and analytics go unreported during each session. Universities collect a massive amount of data every year, from the time a student enrols to the time he or she completes a course. This data relates to admissions, student enrollment, courses, workshops, seminars, conferences, studios, attendance, financial resources, infrastructure development, and other topics. The most important responsibility is to compile data when this data needs to be expressed in an understandable format so that the Vice-Chancellor, Directors, Head of Department, Professor, and other high-ranking administrators can quickly understand the performance of ongoing tasks. Business Intelligence (BI) has developed dashboard technology that visualises trends and patterns, allowing for a more reliable and strategic approach. This paper discusses the significance of Business Intelligence (BI) and dashboard technology in higher education institutions (HEI). It is a data-driven, mission-updated, and student-centered BI dashboard that will not only keep decision-makers informed, but will also assist them in strategic planning and decision-making.
Synthesis of ultra-small NaA zeolite nanocrystals at near room temperature
Authors: Huang Yuhan , Li Min , Shi Chenxi , Liu Zhanjun , Ren Bo 
Published: August 2022

Abstract
The NaA zeolite nanocrystalline aggregates composed of 6 nm ultra-small were synthesized for the first time by refluxing at near room temperature and atmospheric pressure. NaA zeolite samples had been characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and N2 adsorption-desorption isotherms. The XRD of the obtained samples at different synthesis temperatures demonstrated that their crystallinity was high. Furthermore, the SEM images of NaA zeolite synthesized at 30, 40 and 60°C showed that its particle sizes were 100, 100 and 150 nm, respectively. Moreover, the TEM images confirmed that the NaA zeolite aggregates synthesized at 40°C and 60°C consisted of ultra-small crystals with a size of 6 nm, while the NaA zeolite synthesized at 30°C was a single crystal. Compared with the previously reported synthetic zeolite crystals, the use of a reflux system under atmospheric pressure in this study not only synthesized the ultra-small zeolite nanocrystals（6 nm）with large specific surface area, but also avoided many safety issues brought by traditional synthesis methods under high autogenous pressure. Therefore, this study provides a precise and safe synthetic method for the development of ultra-small zeolite nanocrystals.Moreover, the large specific surface area makes them have great potential for development.
Assessment of shoreline changes in the area of Karpen-Qerret-Golem, Durres
Authors: Nurce Bilbil 
Published: August 2022

Abstract
Albania's coastline has a length of about 450 km, with wide access to the Adriatic and Ionian seas, where various forms of sandy and rocky beaches are combined, with the possibility of touristic use. The study of shoreline changes is concentrated in the area of Karpen-Qerret-Golem, Durres, as the most frequented beach sector by locals and foreign tourists, as well as in the last three decades as very important area for the development of business in the field of construction. The purpose of the study is to compare the shorelines shown in the topographic maps of 1:10 000 scale (editions of 1978), on Ortophotos (1994, 2007, 2015, 2018) and 2021 GNSS measurements in the study area, as well determining the direction and rate of the shoreline changes. Since 1978, due to the shoreline erosion it lost over 810 000 m2, while the rise in sea level, caused by climate change, paints an even more shocking image for the future. Meanwhile fundings for scientific research in this field has been scarced in Albania, other countries have felt the impact of coastal erosion. The objectives of the study are: providing evidence of the shoreline changes in the area of Karpen-Qerret-Golem, as well as giving recommendations for stopping or reducing of shoreline erosion in this important sector.