bluuebunny/crossref_metadata_2025_split huggingface dataset:
CXNet - A Novel approach for COVID-19 detection and Classification using Chest X-Ray images
Authors: Surendra Surendra , Kumar Manoj , Dharshan Shiva , Yarlaga Vishnu Srinivasa Murthy , B.S. Prashanth , Thomas Likewin 
Published: June 2022

Abstract

Preliminary screenings are essential to limit the community propagating nature of COVID-19. COVID-19 patients’ lung health status can be assessed by chest radiographic imaging, such as computed tomography scanning or X-ray images. Therefore, it is preferable to use machine learning approaches to help identify COVID-19 by using chest radiographs. This research presents an image-based diagnosis of COVID-19 disease using Deep Learning. The presented work uses chest CXNet-A Novel approach for COVID-19 detection and Classification X-ray images because the X-ray imaging facility is widely available in almost all healthcare facilities. It is less costly and has a more negligible radiation effect than Computed Tomography (CT) scan images. This study employed the implemented a custom Convolutional Neural Network (CNN) model and pre-trained deep neural architecture such as resnet50, DenseNet121, VGG16, and VGG19 to classify COVID-19 chest X-ray images. The proposed model has been evaluated on the real-life data, the accuracy of 98% has been achieved. We can recommend the proposed model to health care professionals as a trustworthy diagnostic decision-making system for COVID-19 detection.
Water Quality Analysis of Lake Ziway
Authors: Tegegne Demeke Fantaw 
Published: June 2022

Abstract
The water quality of Lake Ziway is deteriorating due to human intervention. The objective of this research was to analyze the water quality of the lake. Analysis was done for color, odor, pH, EC, TDS, turbidity, ammonia, total hardness, sodium, potassium, total iron, manganese, calcium, magnesium, alkalinity, bicarbonate, chloride, Sulphate, nitrate, nitrite, fluoride, phosphate, DO, BOD and COD at seven sites from February to March in 21 runs. This research utilized international and national drinking water quality guidelines and standards for the statistical evaluation of experimental results. The mean values of turbidity, manganese, BOD, and COD levels exceed the WHO standards. All water quality parameters have significance values of P ≤ 0.05 for spatial variation except BOD and COD that have P- values of 0.196 and 0.143, respectively. Whereas significant temporal variations were only observed for potassium (0.03), BOD (0.001), and COD (0.002). The cluster analysis showed two significant clusters for both water and sediment samples. This study indicated that the major causes of water quality deterioration are the inflow of effluents from the floriculture industry, domestics, agricultural practices, saline seeps, and other uncontrolled human interventions as observed in sites one, two, three, four, and five. The other cause results from people’s activities in boats and islands. Run-off, silt, waste effluents, etc. probably were the causes of the lakes' pollutions as shown in cluster one.
On Ranking Climate Factors Affecting the Living Organisms Based on Paired Comparison Model, a Bayesian Approach
Authors: Ullah Khalil , Aslam Muhammad , Abbas Nasir , shah Syed Irfan 
Published: June 2022

Abstract
The method of paired comparisons (PC) endeavors to rank treatments presented in pairs to panelists (or respondents, judges, jurists, etc.) and they have to select the better one based on sensory evaluations. Sometimes the situations may occur when the panelists cannot discriminate between the treatments and declare a tie. In this study, an effort is made to extend the Weibull PC model to accommodate ties. The extended Weibull PC model is analyzed using Bayesian paradigm. Four different loss functions are used under noninformative (Uniform and Jeffreys) priors. The posterior and marginal posterior distributions are derived. The posterior estimates, posterior risks, preference probabilities, posterior probabilities and predictive probabilities are evaluated to know the ranking of ecological factor. The goodness of the proposed model is assessed. The entire analysis is carried out using a real data set based on the preference for the ecological factors.
SK3 in POMC neurons plays a sexually dimorphic role in energy and glucose homeostasis
Authors: Yu Meng , Bean Jonathan C. , He Yang , Liu Hailan , Yang Yongjie , Cai Xing , Yu Kaifan , Pei Zhou , Liu Hesong , Tu Longlong , Conde Kristine M. , Wang Mengjie , Li Yongxiang , Yin Na , Zhang Nan , Han Junying , Scarcelli Nikolas A. , Xu Pingwen , He Yanlin , Xu Yong , Wang Chunmei 
Published: June 2022

Abstract
Background
Pro-opiomelanocortin (POMC) neurons play a sexually dimorphic role in body weight and glucose balance. However, the mechanisms for the sex differences in POMC neuron functions are not fully understood.
Results
We detected small conductance calcium-activated potassium (SK) current in POMC neurons. Secondary analysis of published single-cell RNA-Seq data showed that POMC neurons abundantly express SK3, one SK channel subunit. To test whether SK3 in POMC neurons regulates POMC neuron functions on energy and glucose homeostasis, we used a Cre-loxP strategy to delete SK3 specifically from mature POMC neurons. POMC-specific deletion of SK3 did not affect body weight in either male or female mice. Interestingly, male mutant mice showed not only decreased food intake but also decreased physical activity, resulting in unchanged body weight. Further, POMC-specific SK3 deficiency impaired glucose balance specifically in female mice but not in male mice. Finally, although no sex differences were detected in the expression of SK3 and SK current in POMC neurons, SK current was significantly higher in male POMC neurons that co-express estrogen receptor α (ERα).
Conclusions
These results revealed a sexually dimorphic role of SK3 in POMC neurons in both energy and glucose homeostasis independent of body weight control, which was associated with the sex difference of SK current in a subpopulation of POMC/ERα neurons.
Forest Roads Damage Detection Based on Objected Detection Deep Learning Algorithms
Authors: Heidari Mohammad Javad , Najafi Akbar , Borges Jose G 
Published: June 2022

Abstract
Due to the high cost of identifying and evaluating forest roads and the subsequent issue of maintenance, forest management has always faced challenges in terms of scheduling and implementation costs. Currently, monitoring the condition of forest roads has reached a critical stage due to budget allocation problems and lack of adequate supervision and requires low-cost or cost-effective monitoring. Today, smartphones have been used on public roads to identify road deterioration due to benefits such as usability, cost, ease of access, and expected accuracy. The use of smartphones in forest road development by the proposed system is a distributed information system that converts data from enterprise mode to field mode by harvesting and assessing forest road conditions and image processing technologies. The technology proposed in this research allows different information YOLOv4-v5 with improvements to this version including mosaic data augmentation and automatic learning of enclosing frames. In this research, we applied a new hybrid YOLOv4-v5 to the dataset's general applicability. We assessment forest road dataset to run an experiment, smartphone images by various aspects of the smartphone images (SI) dataset which is specialized for detect forest road deterioration. To enhance YOLO's ability to detect damaged scenes by proposed a new technique that takes information into frames. We expanded the scope of the model by applying it to a new orientation estimation task. The main disadvantage is the provision of qualitative model information on forest road activity and the indication of potential deterioration.
Ideal User Group: A New Perspective on Item Representation for Recommender Systems
Authors: Peng Zi-Feng , Zhang Heng-Ru , Min Fan 
Published: June 2022

Abstract
Item representation is a significant building block of recommender systems (RSs). Most existing methods are based on the inherent features of the item, such as its type, shape, and color. In this paper, we propose a new perspective to characterize items by building ideal user groups (IUGs). We define the IUG as the most suitable user group for an item, such as athletes are the IUG of fitness equipment. The construction of an IUG begins with separating user groups according to every single demographic attribute (gender, occupation, etc.), such as male or female groups by gender attribute. Subsequently, we calculate the average rating of each group based on historical records. The next step is to compare the average ratings of different attribute values for the same attribute (e.g., male and female in gender) of the demographics. Meanwhile , we employ Bayesian averaging to address the issue of certain user groups having fewer members but stronger preferences to achieve a fair comparison. Finally, we combine the attribute values corresponding to the group with the maximum average rating of each attribute to obtain the demographics of an IUG, such as female students in their 20s. To validate the effectiveness of the IUG, we propose an IUG-based neural Collaborative Filtering model. Experiments are taken on two real-world datasets in comparison with nine state-of-the-art methods. Results show that the application of the IUG is effective in terms of two metrics.
HIV positive breast-feeding mothers’ compliance with the Ministry of Health recommended Infant and Young Child Feeding options in Mukono district, Uganda
Authors: Nakayenga Ketra , Kirabira Peter , Nyombi Antony , Birungi Daniella , Kimera Joel 
Published: June 2022

Abstract
Background: Mother To Child Transmission (MTCT) of HIV is a threat in resource limited countries like Uganda where breastfeeding is the largest source of HIV transmission in children below the age of 5 years. The study was done to assess the compliance of HIV positive breast-feeding mothers to the Ministry of Health (MoH) recommended Infant and Young Child Feeding (IYCF) options to prevent MTCT of HIV in Mukono district.Methodology: This study enrolled a total of 380 HIV positive mothers of age 17 to 44 years with infants aged four years and below attending Naggalama hospital, Mukono COU hospital, Mukono Municipality health centre IV and Kojja health centre IV. Results: The results of the study revealed that 62.11% of the respondents complied with the recommended MoH IYCF options while the rest did not. 25.69% mothers had HIV positive children. Mothers who had babies aged between 13-24 months and mothers with secondary education were 2.55 and 2.29 times respectively more likely to comply with IYCF options. Mothers who practiced mixed feeding after 6 months; exclusive replacement feeding after 6 months and having HIV positive children were 0.002; 0.02 and 0.13 times respectively less likely to comply with IYCF options. Conclusions: Age of child and education of the HIV positive mother, the feed type practiced by the mother after six months and the HIV test result of children were all found to be predictors of mothers’ compliance with the recommended IYCF options.
The combination of T2-mapping value of lacrimal gland and clinical indicators can improve the stage prediction of Graves’ ophthalmopathy compared to clinical activity scores
Authors: Jiang Mengda , Song Xuefei , Zhang Haiyang , Tao Xiaofeng , Yang Gongxin , Wang Yishi , Liu Yuting , Zhou Huifang , Sun Jing , Li Yinwei 
Published: June 2022

Abstract
Purpose
To explore radiological changes of the lacrimal gland (LG) in Graves’ ophthalmopathy (GO) and whether a combination of MRI parameters and clinical indicators can better predict individual clinical manifestation of GO compared to clinical activity scores (CAS) assessment.
Methods
A total of 28 patients with GO (56 eyes) were enrolled between July 2020 and July 2021. Patients were classified into either the active GO group ( CAS ≥ 3) and the inactive GO group ( CAS < 3). MRI data and clinical data of LG were collected. The diagnostic performance of MRI parameters and models was assessed by receiver operating characteristic curve analysis. Logistic regression predictive models for staging GO were compared.
Results
There were statistically significant differences in T2-mapping values (p < 0.001), the proportion of mild or no obvious redness of conjunctival (p < 0.001), and the proportion of swelling of caruncle or plica (p < 0.001) between inactive and active groups. In MRI based logistic regression model, the T2-mapping value was an independent risk factor (AUC = 0.832). When combining MRI and clinical indicators, T2-mapping value and age resulted as independent risk factors (AUC = 0.928). Swelling of eyelids, redness of conjunctiva, swelling of conjunctiva, swelling of caruncle or plica, and spontaneous retrobulbar pain can be replaced by other objective indicators (AUC = 0.937, 0.852, 0.876, 0.896, and 0.891, respectively).
Conclusion
The combination of the T2-mapping value of LG and clinical indicators can improve the stage prediction of Graves’ ophthalmopathy compared to CAS and provide a new idea for improving the objectification level of GO data collection.
Coronary stent-graft use to salvage a juxta-anastomotic arterial rupture complicating a case of radio-cephalic fistuloplasty
Authors: Lin Zhiyuan , Kallam Neha , Khurram Ruhaid , Midani Ammar Al , Khalifa Mohamed 
Published: June 2022

Abstract
Background:
Stenosis is a common complication of haemodialysis arteriovenous accesses. Endovascular approaches with percutaneous transluminal fistuloplasty have largely replaced open surgical approaches as first line treatment. Vessel rupture is an uncommon complication of fistuloplasty and most reports describe venous rupture. Stent-graft deployment can salvage this however its use requires careful assessment of the distal vasculature. Arterial rupture with fistuloplasty has rarely been described in the literature. This is a novel case describing the use of a BeGraft coronary stent-graft to manage juxta-anastomotic arterial rupture and pseudoaneurysm complicating fistuloplasty.
Case presentation:
A 77 year old female with end stage renal failure secondary to systemic amyloid light chain type amyloidosis was referred for a suspected radio-cephalic arteriovenous fistula stenosis after difficulty cannulating with poor flow during dialysis and clinical reduction in the fistula thrill. Both doppler ultrasound and intravenous fistulography confirmed a venous stenosis 2cm distal to the anastomosis. The stenosis was treated by fistuloplasty, however, this was complicated by a rupture of the juxta-anastomotic arterial segment intraoperatively. Intermittent balloon tamponade was used to minimise extravasation although a pseudoaneurysm formed within the damaged arterial segment. The patient’s distal neurovascular status was assessed using the Barbeau test and we sonographically confirmed adequate retrograde arterial flow via a complete palmar arch directing blood from the ulnar artery. After discussion with the renal transplant team, a 4mm BeGraft coronary stent-graft was deployed to control haemorrhage and bypass the pseudoaneurysm until adequate haemostasis and fistula flow was achieved. Follow-up 3 months post-procedure reported the patient continued with haemodialysis using the stented fistula with no further complications.
Conclusions:
To our knowledge, this is the first case report describing the application of BeGraft coronary stent-grafts to salvage fistuloplasty of a radio-cephalic arteriovenous fistula stenosis complicated by juxta-anastomotic arterial rupture and pseudoaneurysm formation. We demonstrate the safety and short-term efficacy of this technology.
Use of Chlorhexidine Gluconate Irrigation Solution to Prevent Postoperative Infection in Inflatable Penile Prosthesis: a Cost-effectiveness Analysis
Authors: McDermott Sean , Kaiser Melanie , Deibert Christopher 
Published: June 2022

Abstract
Inflatable penile prosthesis (IPP) placement for erectile dysfunction carries a risk of postoperative infection. This risk can be mitigated with intraoperative irrigation with antibiotic solutions. One such irrigant, chlorhexidine gluconate (CHG), has recently been introduced into the field of urology for IPP surgery. This investigation aimed to construct a Markov Model using established data from literature to define the incremental cost of complications following IPP and the range of infection rates at which CHG could serve as a cost-effective approach. The model produced found the incremental cost of infection/mechanical failure to be several thousand dollars when utilizing standard antibiotic regimens of Rifampin/Gentamicin ($2 483) and Vancomycin/Gentamicin ($3 066). However, if CHG irrigation is utilized instead, cost savings of several hundred to over a thousand dollars are observed, so long as CHG maintains below a 2.8% infection rate. The lower baseline cost and potential for equivalent or superior infection prevention with CHG make it an intriguing option for use in IPP surgeries.
Dynamics in a slow-fast Leslie-Gower predator-prey model with Beddington-DeAngelis functional response
Authors: Wang Xiaoling , Li Shimin 
Published: June 2022

Abstract
This paper deals with a class of Leslie-Gower predator-prey model with Beddington-DeAngelis functional response function. We assume that predator reproduce much slower than prey, which yield a slow-fast system. Using the normal form theory and geometric singular perturbation theory, we provide a detailed mathematical analysis for the existence of supercritical Hopf bifurcation, canard explosion and relaxation oscillation. Numerical simulations are also carried out to substantiate our analytical results.2000 Mathematics Subject Classification: 34C37, 34C07, 37G15.
A free boundary problem with nonlocal diffusion and unbounded initial range
Authors: Li Lei , Li Xueping , Wang Mingxin 
Published: June 2022

Abstract
We consider a free boundary problem with nonlocal diffusion and unbounded initial range, which can be used to model the propagation phenomenon of an invasion species whose habitat is the interval $(-\infty,h(t))$ with $h(t)$ representing the spreading front. Since the spatial scale is unbounded, a different method from the existing works about nonlocal diffusion problem with free boundary is employed to obtain the well-posdeness. Then we prove that the species always spreads successfully, which is very different from the free boundary problem with bounded range. We also show that there is a finite spreading speed if and only if a threshold condition is satisfied by the kernel function. Moreover, the rate of accelerated spreading and accurate estimates on longtime behaviors of solution are derived.AMS Subject Classification (2000): 35K57, 35R09, 35R20, 35R35, 92D25
Macroeconomic Determinant of Domestic Savings in Nigeria: A Cointegration Approach
Authors: Ugah John 
Published: June 2022

Abstract
The crux of the study is to succinctly identify and examine the macroeconomic determinant of domestic savings in Nigeria. Historical time series data were collated from CBN, NBS, and IMF bulletins for the period 1990 to 2019. The data were tested and analyzed using the unit root test, Johansen co-integration test, and ECM regression technique. The outcome of the ADF unit root test shows that the variables were stationary while the empirical results for Johansen co-integration test conclude that there exists a long-run relationship between the variables. From the ECM regression result, deposit rate and inflation rate in Nigeria negatively and insignificant affect domestic savings in Nigeria. While income level was revealed to have a positive and significant impact on domestic savings in Nigeria. Albeit, financial deepening negatively affect domestic savings in Nigeria but the effect was statistically significant. Conclusively the study shows that the level of income, deposit rate, financial deepening, and inflation rate determines the volume of domestic savings in Nigeria – positively or negatively. It was recommended among others that the government and monetary authorities should set sound policies and a fertile environment to foster domestic savings that will help to increase the level of economic growth in Nigeria. Keywords: domestic savings, financial deepening, financial stability, economic growth
A Compendium of Aphelenchoides nematodes from Manipur, India
Authors: Chanu Loukrakpam Bina , Mohilal Naorem 
Published: June 2022

Abstract
The present compendium is based on the finding of a research project for the survey of nematodes belonging to the family Aphelenchoidea in the North Eastern state of India during 2013-2016. During the research work, a total of 12 Aphelenchoides were reported from Manipur among which 6 species were new to Science. The present article will enable the biodiversity status of Aphelenchoides nematodes of the region. Diagnosis the species, key to the species and illustrations are provided in the manuscript.
Performance Study of Steel Coupling beams in coupling shear-wall system
Authors: Rezapour Moin , Mirghaderi Seyedrasoul , Rajabnejad Hamid 
Published: June 2022

Abstract
Application of concrete coupling beams using diagonal reinforcement is a common practice which has certain limitations such as issues associated with their execution and their large depth to satisfy the stiffness, strength, and energy dissipation criteria. Steel coupling beams have a higher performance in terms of satisfying the stiffness and strength criteria with respect to the reinforced concrete beams with customary or diagonal reinforcement. 10 and 15-story buildings are designed in accordance with the energy absorption concept or plastic design based on the structure performance. The equivalent column method is used for modeling and the nonlinear behavior of the wall is modeled by two methods. In the first method, which is shown to have a better performance, the nonlinear behavior of the wall is obtained using ABAQUS software and is assigned to the wall base using the lumped plastic hinge method (Link element). The nonlinear behavior is defined in the second method using the semi-lumped plastic hinge (Fiber element). The capacity curves obtained from the pushover analysis show the limited ductility and displacement of concrete coupling beams because of rapid loss in the capacity curves compared with those modeled that used steel coupling beams. The incremental dynamic analysis using 20 earthquake records is performed on 2D models. In this research concluded that at the immediate occupancy performance level both the concrete and steel coupling beams have similar performances and approximately equal failure probabilities. But at the life safety and collapse threshold performance levels the structure with the steel coupling beam exhibits a better performance. Therefore, it seems that in the structures that are designed for IO performance level, there is no advantage between the two types of coupling beams. But at lower performance levels, the steel coupling beam would have a better performance.