bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Reclaimed Asphalt Pavement Heating with Microwave Radiation
Authors: SOROCIAK WOJCIECH , GRZESIK BARTŁOMIEJ , SZOŁTYSIK JOANNA , BZÓWKA JOANNA , MIECZKOWSKI PAWEŁ , KLEMENS MAŁGORZATA 
Published: August 2022

Abstract
The research focuses on the analysis of potential use of microwave radiation as alternative Reclaimed Asphalt Pavement (RAP) heating method. Material characteristics and the microwave heating possibility for the production of Hot Mix Asphalt (HMA) were verified. The research focused on testing HMA with different content of RAP and RAP of different moisture containing unmodified bitumen and modified bitumen with styrene-butadiene-styrene (SBS) polymer. Tests for density, bulk density, air void content and the Indirect Tensile Strength were carried out. The test results confirmed the possibility of using microwaves to heat the HMA without adversely affecting its basic properties. The research also shows the possibility of heating the RAP in the process of HMA production, especially with the RAP of a moisture content above 3%. In addition, the tests of HMA did not reveal any negative impact of microwave heating in the case of using moist RAP for the production of HMA. The susceptibility of the SBS polymer to microwave radiation was indicated by comparing the behavior of the two HMA types under its influence. HMA containing modified bitumen appears to achieve higher temperatures than HMA with unmodified bitumen after the same time of microwave heating.
Do Chinese Industry Spur Innovation to Embrace the Challenges of the Current Technological Revolution: Data Envelopment Approach
Authors: Usman Magaji Abdullahi , Sun Prof. Xinbo 
Published: August 2022

Abstract
The capacity base of the manufacturing sector plays a pivotal role in the process of wealth creation and economic growth of any country. The industrial innovative performance of an economy depends on the rigorous application of new ideas, methods of production, and modern techniques. This study uses the Malmquist productivity index of Data Envelopment Analysis (DEA), and the generalized ordinal model to investigate the actual innovation growth of China’s industrial enterprises. It also analyses the possibilities of the low innovative industries under study transforming into high innovative industries. The findings highlight that, although China’s industrial enterprises above high designated are on average experiencing a negative growth rate in terms of technical progress, yet they have spurred innovation with an average growth of 7% in total factor productivity. It concludes that there is a general need for the authority concern to lay more emphasis on reducing technical inefficiency, thereby improving technological innovation level and subsequent increase in overall efficiency scale.
Development of automated delivery quality assurance analysis software for helical tomotherapy
Authors: Yoon Young Hun , Shin Han-Back , Han Min Cheol , Kim Hojin , Kim Dong Wook , Hong Chae-Seon , Kim Jihun , Kim Jin Sung 
Published: August 2022

AbstractBackground: To develop a fully-automated in-house gamma analysis software for the “Cheese” phantom-based delivery quality assurance (QA) of helical tomotherapy plans.Methods: The developed in-house software was designed to automate several procedures, which need to be manually performed using commercial software packages. The region of interest (ROI) for the analysis was automatically selected by cropping out film edges and thresholding dose values (>10% of the maximum dose). The film-measured dose was automatically aligned to the computed dose. An optimal film scaling factor was determined to maximize the percentage of pixels passing gamma (gamma pass rate) between the measured and computed doses (3%/3 mm criteria). This gamma analysis was repeated by introducing setup uncertainties in the anterior-posterior direction. For 73 tomotherapy plans, the gamma analysis results using the developed software were compared to those analyzed by medical physicists using a commercial software package.Results: The developed software successfully automated the gamma analysis for the tomotherapy delivery QA. The gamma pass rate calculated by the developed software was higher than that by the clinically used software by 3.0%, on average. While, for 1 of the 73 plans, the gamma pass rates by the manual gamma analysis were higher than 90% (pass/fail criteria), the gamma analysis using the developed software resulted in fail.Conclusions: The use of the automated and standardized gamma analysis software can improve both the clinical efficiency and veracity of the analysis results. Furthermore, the gamma analyses with various film scaling factors and setup uncertainties will provide clinically useful information for further investigations.
Pulmonary Tuberculosis Bacilli Detection from Sputum Smear Microscopy Images Using K-Nearest Neighbor Classifier
Authors: Abdeta Diriba , Diriba Chala , Jimma Worku 
Published: August 2022

Abstract
Tuberculosis is a very deadly disease worldwide, including in Ethiopia. TB is caused by Mycobacterium tuberculosis, which can cause pulmonary tuberculosis disease. Sputum smear microscopy is the most commonly used diagnostic tool in developing countries. The main purpose of this study is to develop a k-nearest neighbor classifier model for detecting PTB bacteria from sputum smear microscopic images. This study developed an algorithm based on the image processing technique to identify pulmonary tuberculosis bacilli in a digital image of a stained sputum smear. Thus, k-nearest neighbor classifiers were used to identify bacilli from sputum smear images in two classes: bacilli detect and non-bacilli detect. The total sample size of the image dataset of 180 from stained sputum images of PTB bacilli infected was obtained from Ethiopian Public Health Institute (EPHI). The model's accuracy, sensitivity, specificity, and F-measures then provided an average performance of 92.6%, which is the average performance of the prototype KNN model's sensitivity of 93%, specificity of 92%, and F-measure of 94.7%.
Short- and long-term outcomes of preservation of the superior rectal artery versus ligation of the inferior mesenteric artery in laparoscopic D3 lymph node dissection for descending colon cancer: a propensity score-matched analysis
Authors: Sato Aya , Imaizumi Ken , Kasajima Hiroyuki , Ichimura Kentaro , Sato Kentaro , Yamana Daisuke , Tsuruga Yosuke , Umehara Minoru , Kurushima Michihiro , Nakanishi Kazuaki 
Published: August 2022

Abstract
Purpose
This study aimed to compare the short- and long-term outcomes of laparoscopic D3 lymph node (LN) dissection between ligation of the inferior mesenteric artery (IMA) (LIMA) and preservation of the superior rectal artery (SRA) (PSRA) for descending colon cancer using propensity score-matched analysis.
Methods
This retrospective study included 101 patients with stage I-III descending colon cancer who underwent laparoscopic D3 LN dissection with LIMA (n = 60) or PSRA (n = 41) at a single center between January 2005 and March 2022. After propensity score matching, 64 patients (LIMA, n = 32; PSRA, n = 32) were included in the analysis. The primary endpoint was the long-term outcomes, and the secondary endpoint was the surgical outcomes.
Results
In the matched cohort, no significant difference was noted in surgical outcomes, included the operative time, estimated blood loss, number of harvested LNs, number of harvested LN 253, and complication rate. The long-term outcomes were also not significantly different between the LIMA and PSRA groups (3-year recurrence-free survival: 78.7% vs. 88.9%, P = 0.335; 5-year overall survival: 69.8% vs. 63.4%, P = 0.888; 5-year cancer-specific survival: 84.2% vs. 82.8%, P = 0.607). No recurrence of LN metastasis was observed around the IMA root.
Conclusion
Laparoscopic D3 dissection in PSRA was comparable to that in LIMA regarding both short- and long-term outcomes. The optimal LN dissection for descending colon cancer should be investigated in future large-scale studies.
Short-course palliative hypofractionated radiotherapy in patients with poor-prognosis high-grade glioma: quality-of-life outcomes from a prospective phase II study
Authors: Baviskar Yamini , Likonda Beda , Pant Siddharth , Mokal Smruti , Pawar Akash , Dasgupta Archya , Chatterjee Abhishek , Gupta Tejpal 
Published: August 2022

Abstract
Purpose: To report longitudinal quality-of-life (QoL) outcomes in patients with poor prognosis high-grade glioma (HGG) treated with palliative hypofractionated radiotherapy (RT). Methods: Patients with poor-prognosis HGG based on age and performance status were accrued on a prospective study of short course palliative hypofractionated RT delivering 35Gy in 10 fractions over 2 weeks after written informed consent. European Organization for Research and Treatment of Cancer (EORTC) QoL core questionnaire (QLQ-C30) and brain cancer module (BN20) were used in English or validated Indian vernacular languages (Hindi and Marathi) for QoL assessment at baseline (pre-RT), conclusion of RT, 1-month post-RT and subsequently at 3-monthly intervals until disease progression/death. Summary QoL scores were compared longitudinally over time by related samples Friedman’s two-way test. Results: Forty-nine (89%) of 55 patients completed the planned course of hypofractionated RT. Longitudinal QoL data was available in 42 (86%) patients that constitutes the present study cohort. Median age of included patients comprising mainly of glioblastoma (81%) was 57 years with median baseline Karnofsky score of 60. Baseline QoL scores of included patients were significantly worse for several domains compared to historical institutional cohort of HGG patients treated previously with conventionally fractionated RT indicating negative selection bias. QoL scores remained stable for most domains after palliative hypofractionated RT with statistically significant improvements in fatigue (p=0.032), dyspnea (p=0.042) and motor dysfunction (p=0.036) over time. Conclusion: Short-course palliative hypofractionated RT in patients with poor-prognosis HGG is associated with stable and/or improved QoL scores in several domains making it a viable resource-sparing regimen.
Analysis and synthesis of multiview images using wavelets based on voxel patterns
Authors: Saveljev Vladimir 
Published: August 2022

Abstract
Multiview wavelets based on voxel patterns of autostereoscopic multiview three-dimensional (3D) displays are proposed. Direct and inverse continuous wavelet transforms of binary and grayscale multiview images were performed. With modified wavelet coefficients, 3D images with the changed parallax and depth were obtained. Multiview images were displayed using lenticular plates. The visual picture confirms the correctness of all synthesized images. The results can be applied to various types of autostereoscopic 3D displays.
Legacy thinking for long term sustainability: Innovative approach applied in the development of a codesigned co-produced Social Prescribing intervention
Authors: Spencer Llinos Haf , Lynch Mary , Thomas Gwenlli , Edwards Rhiannon Tudor 
Published: August 2022

Abstract
Background
A North Wales housing association offer a social prescription (SP) service within an innovative health and well-being Hub, currently being planned in the Nantlle Valley, Northwest Wales. In line with the requirement of Welsh Government policy, Grŵp Cynefin sought to engage the community in the development of the SP intervention through a co-design and co-production approach.
Method
Drawing from the principles of citizen assembly deliberations and Future Design four focus groups (n = 16) were conducted to develop sustainable strategies, a novel approach was applied to the focus groups. The “Today Groups” deliberated on the well-being of the community today, and the “Legacy Groups” deliberated on the well-being of future generations in developing SP interventions and the well-being Hub as a whole.
Temporal Assessment of River Stages and Discharge Regimes of the Cross River Basin, SE-Nigeria
Authors: EKWERE AZUBUIKE , Kudamnya Ebenezer 
Published: August 2022

Abstract
Hydrological basins commonly experience variations in flow and discharge regimes which are dominantly controlled by prevalent climatic conditions as well as other hydrological parameters. This study is being carried out to establish baseline documentation of water levels and discharge regimes in the Cross River hydrological basin in southeastern Nigeria. The focus of the study is on monitoring sections of the river basin underlain by varied geology and geomorphological settings and the computation of annual means of water levels and discharge with their fluctuations for a period of five years (2010–2014). The data for daily water levels and discharge were recorded at four river gauging stations within the hydrological basin during the study period. Annual mean values for the dataset were computed to establish low and peak flows in the river basin within the period of investigation. Analysis of data by principal component analysis (PCA) shows significant positive correlations for rainfall, mean of water level, and minimum discharge in the upstream and midstream sections of the basin. The mean water level and minimum discharge in the downstream section of the basin indicate no significant correlation with rainfall. Generally, discharge increased from the upstream to the downstream of the basin, and rainfall amounts also increased within the period. Drought analysis by calculation of water-bearing coefficients shows that the basin generally experienced a dry hydrological regime in the first three years of monitoring and a wet regime in the latter years. Variations within the basin over the study period indicate the effects of location, catchment size, and other hydrological parameters.
Prevalence of Osteoporosis among a group of Syrian Women and its Risk Factors
Authors: Alkhani Musab , A.Kadri Saeed , Hammoud Taghrid 
Published: August 2022

Abstract
Background and aim: Osteoporosis is a disease affecting the skeletal system, causing a reduction in bone mass and density, so the bones become fragile and prone to fractures. In addition, osteoporosis affects both men and women, but its prevalence appears widely and strongly in women, especially those after menopause. This disease has many negative impacts on individual and community health in terms of morbidity and mortality. This study aims to determine the prevalence of osteoporosis among a sample of women. By studying demographic factors, medical history, surgical history, gynecological history, and lifestyle, we can determine the risk factors related to it.Materials and Methods: The across-sectional study included a sample of (70) pre and postmenopausal women who had been referred to the densitometry unit in the radiology department at Damascus hospital. Bone mineral density (BMD) at the lumber spine and left femur was assessed by a densitometer using (DXA) technology and, following the World Health Organization criteria for osteoporosis, height and weight were measured. By oral questioning of the patient, detailed demographic information, lifestyle, dietary habits, medical, menstrual, and drug history were recorded in a questionnaire designed for this study. Inclusion criteria included pre and postmenopausal women. Exclusion criteria included females aged less than 18 years and pregnancy. The data was collected between 1/6/2022 and 5/8/2022. Data analysis was performed using the (JMP 14) program.Results:The prevalence of osteoprosis and osteopenia in the study sample were (19%) and (43%), respectively. The mean age in normal BMD women was (48.18±11.76), and the mean age in low BMD women was (54.13±13.71). Osteopenia was significantly associated with age, postmenopausal, number of pregnancies, family history of osteoporosis, low calcium diet, sun exposure, and rheumatoid arthritis, but there was no statistically significant correlation with BMI, menarche, years following menopause, smoking, corticosteroids, thyroxine, or skin color.Conclusions:More than half of the study sample had low BMD, and most of them were postmenopausal. These findings help identify high-risk women and suggest early strategies and serious steps to raise awareness among them and to reduce modifiable risk factors to prevent developing osteoporosis.
Epileptic seizure detection from multivariate sequential signals using Multidimensional convolution network
Authors: Wei Xiaoyan , zhang zhen , Zhou Yi 
Published: August 2022

Abstract
Background
The ability to predict coming seizures will improve the quality of life of patients with epilepsy. Analysis of brain electrical activity using multivariate sequential signals can be used to predict seizures.
Method
Seizure prediction can be regarded as a classification problem between interictal and preictal EEG signals. In this work, hospital multivariate sequential EEG signals were transformed into multidimensional input,multidimensional convolutional neural network models were constructed to predict seizures. several channels segments were extracted from the interictal and preictal time duration and fed them to the proposed deep learning models.
Result
The average accuracy of multidimensional deep network model for multi-channel EEG data is about 94%, the average sensitivity is 88.47%, and the average specificity is 89.75%.
Conclusion
This study combines the advantages of multivariate sequential signals and multidimensional convolution network for EEG data analysis to predict epileptic seizures, thereby enabling early warning before epileptic seizures in clinical applications.
Catenin delta 1 mediates epithelial–mesenchymal transition, proliferation, migration, and invasion of pancreatic cancer via the Wnt/β-catenin pathway
Authors: Huang Xiaobin , Xie Mengyi , Liu Xingyu , Huang Xiaodong , Li Jiayu , Shu Zhihui , Zeng Xin , Yang Yang , Yu Jun , Lan Chuan , Deng Dawei , Li Yong , Zhang Guangnian , Li Jianshui 
Published: August 2022

Abstract
Background: Catenin delta 1 (CTNND1) is upregulated in many tumors and is closely associated with poor prognosis. However, the role of CTNND1 in pancreatic cancer and its underlying mechanisms remain unclear Methods: The expression of CTNND1 in pancreatic cancer and normal tissues in the TCGA and GTEX databases was preliminarily screened and further verified by immunohistochemistry (IHC) and qPCR. Transwell, wound healing, and cell proliferation assays were used to study the effect of CTNND1 on epithelial-mesenchymal transition (EMT), proliferation, migration, and invasion of pancreatic cancer cells. Western blot experiments verified the signaling pathway mediating the effect of CTNND1 on pancreatic cancer progression. The expression of CTNND1 in the TCGA database, clinical pancreatic cancer samples, and pancreatic cancer cells was significantly upregulated. Results: We found that the silent CTNND1 in pancreatic cancer cells significantly inhibited the EMT, proliferation, migration, and invasion of pancreatic cancer cells. In addition, the silencing of CTNND1 in pancreatic cancer cells inhibited the Wnt/β-catenin signaling pathway. LiCl (a Wnt/β-catenin-specific activator) treatment partially restored the EMT, proliferation, migration, and invasion abilities of CTNND1-silenced pancreatic cancer cells. Conclusion: Our research confirmed that CTNND1 can regulate the EMT, proliferation, migration, and invasion of pancreatic cancer through the WNT/β-catenin signaling pathway.
Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives without Speed Measurement
Authors: Aghili Soroush , Noori Meisam , Khoshdel Adel , KHAN Ashraf ALI 
Published: August 2022

Abstract
In encoderless Model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. In this research, single-phase current sensor Fault-Tolerant Control (FTC) method for MPTC of three-phase IM drives without speed measurement using a flux linkage observer and Model Reference Adaptive System (MRAS) algorithm is proposed. In the presented FTC method, Third-Difference (TD) operators, logic circuit module, flux linkage observer, and MRAS algorithm are utilized for fault detection, fault isolation, estimation of stator currents and fluxes, and speed estimation, respectively. In comparison with the conventional current sensor FTC methods, the proposed method can be utilized for encoderless three-phase IM drives. In order to confirm the usefulness and possibility of the proposed encoderless FTC method, experimental studies are performed for a 0.75 kW three-phase IM drive system in different situations. The achieved results demonstrate good performances of the proposed technique during both normal and faulty situations.
WASH, vulnerability, severity, and the response of urban slum dwellers to the COVID-19 pandemic
Authors: Nguyen Thi Phuoc Lai , Pattanarsi Siwarat 
Published: August 2022

Abstract
Urban slum dwellers lacked water, sanitation, and hygiene (WASH) and health care assistance during the COVID-19 outbreak. This research aimed to investigate the lived experiences of slum dwellers during the COVID-19 pandemic. Data were obtained through 453 questionnaires and 29 semi-structured interviews with community people and organizations from two slum neighbourhoods in Bangkok, Thailand. The results showed that respondents who had no access to WASH perceived the pandemic as more severe (t = −3.807, p &lt; 0.001; df = 451), whereas respondents who had access to WASH had a higher protective intention towards COVID-19 (t = −3.947, p &lt; 0.001; df = 431). However, there are no differences between the two groups in terms of knowledge, practice, vulnerability, perceived self-efficacy, response efficacy, or response cost between accessibility and non-accessibility to WASH. The Structural Equation Modelling (SEM) results showed that the knowledge of slum dwellers drives their current practice (β = 0.456, p &lt; 0.001) and perceived vulnerability (β = 0.180, p &lt; 0.001), wherein the current practice is influenced by their perceived vulnerability (β = 0.163, p = 0.002). Their current practice also influences their perceived self-efficacy (β = 0.314, p &lt; 0.001), response efficacy (β = 0.557, p &lt; 0.001), and severity (β = 0.198, p = 0.003). Their perceived severity affects their protective intention (β = 0.102, p = 0.043) and perceived self-efficacy promotes their protective behaviours (β = 0.308, p &lt; 0.001). Future pandemic prevention programmes should improve the awareness about COVID-19 protection, self-efficacy, and response efficacy through community sensitization.
FEMINICÍDIO: DADOS SOBRE A VIOLÊNCIA DE GÊNERO E POSSIBILIDADES DE INTERVENÇÃO DIDÁTICA NO ENSINO DE SOCIOLOGIA
Authors: Borges da Mota Junior Raimundo 
Published: August 2022

A presente pesquisa busca apresentar o feminicídio e suas interfaces dentro de intervenções sociológicas. Deste modo, o objetivo geral do estudo foi investigar a violência de gênero a partir de características sociológicas e suas possibilidades de intervenção didática no Ensino de Sociologia no Ensino Médio da educação básica do Brasil. Para tanto foi desenvolvida pesquisa bibliográfica e documental por meio da coleta do indicador de “Casos Novos de Conhecimento Feminicídio” publicados no site de Monitoramento da Política Judiciária Nacional de Enfrentamento à Violência contra as Mulheres, do Conselho Nacional de Justiça (CNJ). Como resultados, evidencia-se que os casos novos de conhecimento de feminicídio entre 2016 e 2020 apresentou variações regionais que apontam aspectos referentes a estes dados, assim como o aumento significativo da morte de mulheres brasileiras vítimas do ódio e aversão ao mero fato de ser mulher. Conclui-se que uma intervenção didática efetiva em ensino de Sociologia, a partir desses dados, podem sensibilizar estudantes do Ensino Médio a uma postura mais crítica.
Palavras-chave: Feminicídio. Indicadores. Violência de gênero. Ensino de Sociologia.