bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management outcome of incomplete abortion in Injibara General Hospital, Northwest Ethiopia: a cross-sectional study
Authors: Getie Simegnew Asmer , Tadele Getahun , Balcha Wondu Feyisa , Gemeda Natnael Dechasa 
Published: December 2022

AbstractObjective Incomplete abortion is the partial loss of the products of conception before viability and is the comments type of spontaneous abortion. This can be managed medically or surgically at a health facility by trained health care providers. However, women develop unfavorable management outcomes of incomplete abortion following the initial management. This study aimed to assess the management outcome of incomplete abortion in Injibara General Hospital, Northwest, Ethiopia. Results A health facility-based cross-sectional design was conducted from May 1/2018 to April 30/2020. A medical record review of 260 women who received abortion service was done and 236 cases managed for incomplete abortion were included in the study with a response rate of 90.8%. In this study, 12.3%) with [95% CI = 8.11–16.49] of the women developed unfavorable management outcomes of incomplete abortion. In the multivariable analysis women who are found in the age group of 15–25 years [AOR = 3.92, 95% CI-1.07-14.38], gestational age greater ≥ 13 weeks [AOR = 2.96, 95% CI = 1.12–7.83], seeking care after 24 hours of the onset of symptoms [AOR = 3.97, 95% CI = 1.04–15.21], and medical management of the incomplete abortion [AOR = 3.47, 95% CI = 1.07–11.27] were associated with unfavorable management outcome of incomplete abortion.
Legacy Ash Based Organic Washing Powder for Utensils Cleaning: A Novel Approach Towards 100 % Pond Ash Utilization in Indian Thermal Power Plants
Authors: Khankari G. , Rajan D. V. 
Published: December 2022

Abstract
At present, coal based thermal power plants share about 57% of total electricity demand in India and day to day, coal consumption increases for fulfilling the increasing trend of electricity demand in India. Indian power plants are facing the problem of ash disposal as the coal having high ash concentration. To safe guard the environment and following the stringent environmental norms issued by Govt. of India, 100% ash utilization in power sector is to be made in timely. Considering the matter, the present work proposes a development of legacy ash based organic washing powder for utensil cleaning at low cost. Study shows that the accumulated unused legacy ash present in ash pond can used as organic based utensils cleaning washing powder where clay, dry reetha fruits and orange peel off powder are used as additional compositions. The used water from the cleaning may also be used for gardening / plantation purpose only. Due to the low foaming characteristic of the developed washing powder, water consumption of the hotel, house hold will be reduced and cut down the water bill and energy bill as well. Water pollution and skin etching issue on human health will be avoided by using the developed washing powder. High efficacy of cleaning is found in the composition ratio of 80%, 14%, 4% and 2% of legacy ash, clay powder, reetha powder and orange fruit peel off powder, respectively at the cost of Rs. 6.28 /kg which comparatively lower than the present market value. For promoting the Corporate Social Responsibility (CSR) activities, the washing powder composition ratio of 80%, 16%, 2% and 2% of legacy ash, clay powder, reetha powder and orange fruit peel off powder, respectively may be considered for its less cost (Rs. 3.82 /kg) and good cleaning. About 25% of 8.46 LMT legacy ash can be used for production of herbal washing powder of about 2.44 LMT and annual profit of the power station can be tune of about 170 crores. Hence, the proposed work can be useful for utilization of legacy ash and a way out for enhancing profit of the power station.
Application of TOPSIS and AHP models in subsurface layers’ competence evaluation - case study of Ilaramokin, Southwestern Nigeria
Authors: Adedotun Adeyemo Igbagbo , Oluwatimilehin Akande Victor , Akinlalu Ayokunle Adewale , Sanusi Sheriff Olumide 
Published: December 2022

Abstract
Incessant collapse of buildings associated with geotechnical incompetence in different part of Nigeria and the rapid growth of Ilaramokin town near Akure Southwestern Nigeria provided the motivation for this work. Two multi-criteria decision analysis approaches were used in integrating geoelectric parameters (topsoil resistivity, weathered layer resistivity and bedrock resistivity), static water level measurements and geology in evaluating the subsurface geotechnical competence of Ilaramokin. Thirty (30) vertical electrical sounding, eighty-six (86) static water level measurement and geological map were used. The VES results were presented as topsoil, weathered layer and bedrock resistivity maps. The vertical electrical sounding (VES) results delineated three to five geoelectrical layers which are the A, H, K, KH, QH and HKH. The resistivity of the topsoil, weathered layer and bedrock varies from 48–701, 31–1065, 14–139, 132–6582 Ωm respectively while their thickness very from 0.4–4.1, 1.3–11.6 and 4.0–20.1 m in the three upper layers respectively. The VES results, static water level measurement and the geology were integrated using both TOPSIS and AHP models to produced geotechnical competence maps. Consistency test and grainsize analysis were carried out on 10 soil samples obtained across the area to validate the geotechnical competence model maps produced using both TOPSIS and AHP models. The validation showed that geotechnical model map produced from TOPSIS model have higher percentage (90%) of correlation with consistency tests and grain size analysis compared to that of AHP model (70%).
Umbilical cord subtotipotent-like stem cells reverse the ageing of thymic epithelial cells by inducing reprogramming of the whole-genome methylation and transcription profile
Authors: Yang Zailing , He Zhixu , Zhu Xiangqing , Pan Hang , Wu XiJun , Pan Xinghua 
Published: December 2022

Abstract
Background: A decrease in the number and activity of thymic epithelial cells (TECs) is an important factor in thymic degeneration, which can lead to dysfunction of T-cell differentiation, development and selection and a decrease in human immune function. Umbilical cord pluripotent-like stem cells (UCSSCs) can promote the structural and functional regeneration of the ageing thymus in vivo, but the mechanism of their action on TECs and molecules is not clear. Based on the discovery that UCSSCs promote thymus regeneration, we further analysed the changes in genome methylation modification profiles and their association with transcription profiles in ageing TECs cocultured with UCSSCs.
Results: UCSSCs could promote thymus regeneration in ageing macaque monkeys, and an ageing model of TECs was established. Coculture of ageing TECs with UCSSCs for 48 hours significantly reduced the expression levels of ageing markers such as P16, P21 and p53 and increased the activity of ageing TECs. Genome-wide methylation and transcriptional sequencing analysis of TECs showed that methylation levels of 501 genes increased and 591 genes decreased in the promoter region. Twenty-three genes with increased methylation were enriched in the processes of negative regulation of cell growth, proliferation and apoptosis, and 37 genes with decreased methylation were enriched in the processes of promoting cell growth and proliferation and inhibiting apoptosis. Association analysis between promoter and transcription level revealed that there was a significant negative correlation between promoter methylation level and gene transcription in 66 genes, among which PDE5A, DUOX2, LAMP1 and SVIL, which inhibit growth and development, showed increased methylation and decreased transcription. Decreased methylation of POLR3G, PGF, CHTF18, KRT17, FOXJ1, NGF, DYRK3, LRP8, CDT1, PRELID1, F2R, KNTC1 and TRIM3, which promote cell growth, leads to an increase in transcription levels. Decreased promoter methylation of the transcription factor NGF gene, which leads to an increase in KRT17 and FOXJ1 transcription, plays a key role in reversing TEC senescence.
Conclusion: UCSSC coculture ameliorates the age-associated hallmarks of ageing TECs. The methylation profile of senescent TEC genes was significantly changed after treatment with umbilical cord pluripotent stem cells. It was found that decreasing the methylation level of the transcription factor NGF and increasing the expression level of KRT17 and FOXJ1 play a key role in promoting the proliferation of TECs.
Modeling and real-time prediction of irrigation water quality index using Graphical User Interface (App), a case study of Oued-Hammam North-East Algeria
Authors: Bomani Oswald Peter 
Published: December 2022

Abstract
The quality of water for irrigation purposes hasnot been taken into serious consideration in many places around the Globe. The present case study at Oued-Hammam watershed aims to investigate the use of an artificial neural network in the prediction of irrigation water quality indicators of Sodium absorption ratio and Electrical Conductivity and deployment of the models using graphical user interface (App).Fourteen water quality parameters were collected at Zit Emba reservoir from 2010 to 2014.Pearson correlation matrix was used to select input parameters with respect with the output parameter. The back-propagation neural networks learning algorithm was used in modeling of irrigation water quality index (IWQI) for both SAR and EC. The performances of models were evaluated using statistical criteria of correlation coefficient (R) and root mean square error (RMSE). Back propagation neural network learning algorithm maximum correlation coefficient for SAR and EC were 0.98077 and 0.97762 respectively, also with minimum RMSE of 0.037 for SAR and 101.8 for EC. Thus current study suggests that artificial neural network (ANN) models are most effective tools for prediction of water quality prediction and their outcome can be used as effective method in management and real-time control of water pollution around the watershed.
Multidrug Efflux System-mediated resistance in Staphylococcus aureus under a One Health approach
Authors: Barros Mariana , Lopes¹ Ilderlane da Silva , Moreira¹ Ana Júlia Silva , Almeida Raquel dos Santos Oliveira , Costa² Mateus Matiuzzi , Mota³ Rinaldo Aparecido , Nero¹ Luis Augusto , Moreira¹ Maria Aparecida Scatamburlo 
Published: December 2022

Abstract
The aim of the study was to track the spread of antimicrobial resistance among the different sectors of One Health through the detection of Multidrug-Efflux-System in multidrug-resistant Staphylococcus aureus isolates. Multidrug-resistant (MDR) and methicillin-resistant (MRSA) S. aureus isolates were selected: 25 of human, one of animal and eight of food origin. The efflux system genes norA, norB, norC, LmrS, tet38 and msrA were screened by PCR. The activity of the efflux systems was determined by the minimum inhibitory concentration (MIC) of tetracycline and ciprofloxacin in the presence and absence of CCCP and in the quantification of ethidium bromide efflux. Furthermore, biofilm formation was determined in the presence and absence of the CCCP. The molecular epidemiology of the isolates was traced with the aid of PFGE. The gene norC was the most prevalent, detected in all isolates and msrA was the least prevalent, detected in only two isolates from humans. There was no difference in the MICs of tetracycline and ciprofloxacin in the presence of CCCP, but 55.9% of isolates showed ethidium bromide efflux. The presence of CCCP decreased the biofilm formation. Regarding the molecular epidemiology, in three clusters was a mixture of the isolates from different origins. Therefore, S. aureus MDR with active multidrug efflux systems are circulating between One Health domains and it is necessary to consider strategies to decrease this circulation in order to prevent the dissemination of resistance mediated by MES.
Optimization of a simplified model of the human femur with inner structure and real material properties
Authors: Bazyar Pourya , Baumgart Andreas , Altenbatch Holm , Usbeck Anna 
Published: December 2022

Abstract
Biomechanics is the examination of the structure and function of biological systems by means of the methods of mechanics. Finite element analysis is a computer-based numerical analysis method that can be used to calculate the response of a model to a set of well-defined boundary conditions. Although typical analysis methods, FE analysis can be used to analyze structures of complicated geometry and inhomogeneous material properties. The finite element method is an ideal method for analyzing live tissues such as femur bone this is since it has complex geometric shapes and inhomogeneous material properties. The objective of an FE analysis is to find the distribution of an unknown within a body. In this research, a simplified model of the femur with some of the inner structures (trabeculae, Haversian canals, marrow) was designed. After designing, a simplified model, FE analysis, and optimization were done. Obtained results showed that the max stress is 5.2717e8 Pa. It reached 4.5687e8 Pa after optimization of the model.
One Class Support Subsequence Machine: Abnormal time
series subsequences detection using One-Class SVM
Authors: Amine Melakhsou Abdallah , Batton-Hubert Mireille , Casoetto Nicolas 
Published: December 2022

Abstract
In this paper, an approach is proposed for the detection of abnormal time series subsequences using the One-Class SVM with an application to defect detection of two automatic welding processes. The One Class-SVM has been used in many works for the same purpose but only after transforming the subsequences into a set of feature vectors. However, finding the relevant features that allow anomaly detection may be challenging. Methods dealing with the raw subsequences, on the other hand, can be easily generalized to other problems and are known to be efficient. Nevertheless, they often suffer from high computational cost since they involve computing the distances to all the reference subsequences, which may restrict their application, especially with the need of real time predictions in most of the applications. We show in this work that, contrary to what is indicated in the literature, the One-Class SVM can be used directly with the raw subsequences. This is achieved by employing distance substitution kernels, which are a class of kernels that allow to use dissimilarity measures in the One-class SVM formulation. The results show that the approach has a similar efficiency of those suggested in the literature that operate with raw subsequences in terms of accuracy. Furthermore, because it just requires the distances to the support vectors, the approach has a low time complexity in the prediction phase, making it more suitable for real-time monitoring. We further show that the One-Class SVM with non-metric dissimilarity remains efficient for aberrant subsequence identification.
Mean sea level modelling using the neural network along the Chennai coast
Authors: Adwait  , Roshni Thendiyath 
Published: December 2022

Abstract
This study focuses on the trend analysis of sea level data along the Chennai coast and thereby checks the structural change in the dataset using the Chow method. This study also proposed a methodology for predicting the mean sea level with the feed-forward neural network (FFNN) and wavelet transform neural network (WTNN) models. The data analysis shows that a breakpoint is observed in the year 1994 and found an overall increasing trend during the selected time period at the Chennai coast. For model development, a better understanding of the influencing parameters of the sea level is essential. Hence, correlation analyses have been performed and found that wind speed, sea surface salinity, and surface pressure are influencing variables for modelling sea level data. Apparently, these influencing variables have been considered as potential inputs for model development. To compare the performance of all the developed models, the Root Mean Square Error, Correlation Coefficient, and Nash–Sutcliffe Efficiency (NSE) were utilized. The results of performance indices and the graphical indicators also show that WTNN Model 4 outperformed all the other developed models. It was noticed that the percentage increase in the efficiency of NSE was 29.52% for WTNN Model 4 as compared to other developed models.
Performance evaluation of soft computing techniques for forecasting daily reference evapotranspiration
Authors: Rajput Jitendra , Singh Man , Lal K. , Khanna M. , Sarangi A. , Mukherjee J. , Singh Shrawan 
Published: December 2022

Abstract
Reference evapotranspiration (ET0) is used to determine crop water requirements under different climatic conditions. In this study, soft computing tools viz. artificial neural network (ANN) and k-nearest neighbors (KNN) models were evaluated for forecasting daily ET0 by comparing their performance with the Penman-Monteith model (PM) using climatic data from 1990 to 2020 of the Indian Agricultural Research Institute (IARI) farm observatory, New Delhi, India. The performance of these models was assessed using statistical performance indices viz., mean absolute error (MAE), mean squared error (MSE), correlation coefficient (r), mean absolute percentage error (MAPE), and index of agreement (d). Results revealed that the ANN model with sigmoid activation function and L-BFGS (Limited memory-Broyden-Fletcher-Goldfarb-Shanno) learning algorithm was selected as the best performing model amongst 36 ANN models. Amongst 4 KNN models developed and tested, the K4 KNN model was observed to be the best in forecasting daily ET0. Overall, the best ANN model (M11) outperformed the K4 KNN model with MAE, MSE, r, MAPE, and d values of 0.075, 0.018, 0.997, 2.76 %, and 0.974, respectively and 0.091, 0.053, 0.984, 3.16 %, and 0.969, respectively during training and testing periods. Thus, we conclude that the ANN technique performed better than the KNN technique in forecasting daily ET0. Sensitivity analysis of the best ANN model revealed that wind speed was the most influential input variable compared to other weather parameters. Thus, the ANN model to forecast daily ET0 accurately for efficient irrigation scheduling of different crops in the study region may be recommended.
Performance evaluation of hydraulic ram pumping systems for small-scale farmers: a case study of West Pokot county, Kenya
Authors: Osome Joseph Kisia , Kosgei Job Rotich , Kipkorir Emmanuel Chessum , Nyandwaro Gilbert Nyageikaro , Sempewo Jotham Ivan 
Published: December 2022

Abstract
Hydraulic ram (hydram) pump has been in existence for more than two centuries. However, these pumps have been on the verge of extinction since the invention of motorized pumps, which are more powerful and efficient. Unfortunately, motorized pumps are expensive to acquire, operate, and maintain. Their contribution to climate change and environmental degradation has steered the need for an alternative pumping technology. Therefore, as the world's technology shifts to green energy, hydram pumps need to be re-invented. In the late twentieth century, studies on hydram pumps have been revived with the aim of making them more efficient and economically competitive. Small-scale farmers in West Pokot County, Kenya, have embraced the hydram technology, but due to low technical capacity; installed low-performing hydram that operated under low efficiencies of less than 30%, with the majority having operational failure due to inadequate designs. Hence, this study investigated the design and operation of these pumps. Thereafter, designed and assembled a hydram pump, using locally available materials, to supply water for domestic and small-scale agricultural use. The optimum efficiency achieved by the pump was 54%, with an optimum delivery flow rate of about 13 L/min.
reflexos pandêmicos no ensino ofertado pela rede pública de Maceió/AL
Authors: Menezes Anderson de Alencar , Silva Antonio Tancredo Pinheiro da , Cardoso Martha Vanessa Lima do Nascimento 
Published: December 2022

A escola revela-se como instituição de emancipação, descentralizada e mais democrática, apta a efetivar os direitos fundamentais violados, em especial, o de acesso à educação, direito fundamental.A suspensão das aulas da rede pública de educação foi uma das inúmeras consequencias da Pandemia do Covid 19 para crianças e jovens em idade escolar. Após dois anos de isolamento social, ainda é possível constatar que algumas unidades de ensino do município de Maceió/Alagoas sequer iniciaram o ano letivo, noutras, observa-se que o retorno às aulas embora tenha iniciado, ainda ocorre de maneira lenta.Nesse sentido, para Habermas a esfera pública deve servir como um fórum importante para onde discussões e debates de questões sociais relevantes devem ser trazidas à luz por indivíduos e coletividades, inclusive por aqueles que eventualmente sintam-se excluídos. O presente artigo tem por finalidade a abordagem da educação formal num contexto pós-pandemia e contribui para as reflexões acerca dos desafios enfrentados pelos educadores ao lidar com as atuais exigências que versam sobre a recomposição e a aceleração do ensino-aprendizagem, tendo que nivelar o ensino para todos os alunos, sem muitas vezes, a devida orientação para lidar com as necessidades tão diversas e individuais que esse público atravessa e no qual não se tem um diagnóstico para uma condiação especial, como por exemplo, o autismo ou se o atraso apresentado pelo estudante no decorrer do seu processo de escolarização caracteriza-se de fato pelo cenário pandemico vivenciado.
Microwave-Assisted, [Bmim]PF6-Catalyzed Synthesis of Benzoxazoles
Under Solvent-free Conditions
Authors: Duc Dau Xuan 
Published: December 2022

Background:
An efficient and green strategy for the synthesis of 2-arylbenzoxazoles
using [Bmim]PF6 ionic liquid as a catalyst has been investigated via the condensation of oaminophenol
with aldehydes. The microwave-assisted synthesis features some advantages such as
good yield of products, broad substrate scope, short reaction time, and absence of metal catalyst
and solvent. Furthermore, the synthesis could be conveniently expanded to a gram scale.

Methods:
2-arylbenzoxazoles were obtained from o-aminophenol with aldehydes using
[Bmim]PF6 ionic liquid as a catalyst under microwave irradiation at 80ºC, 120 W.

Results:
Twenty-three 2-arylbenzoxazole derivatives were furnished in good to excellent yields
under optimized conditions. The structures of these compounds were confirmed by analysis of
NMR data. In addition, the method could be conveniently expanded to gram scale.

Conclusion:
An efficient and straightforward protocol for the synthesis of 2-arylbenzoxazoles
catalyzed by [Bmim]PF6 ionic liquid has been demonstrated. The synthesis delivers several advantages
such as short reaction time, broad substrate scope, scalability, solvent-free conditions,
and high efficiency. The reaction mechanism and applications of this synthesis are currently ongoing
in our lab and will be reported in due course.