bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ontology-based Soft Computing and Machine Learning Model for Efficient Retrieval
Authors: ANAND SANJAY KUMAR , KUMAR SURESH 
Published: December 2022

Abstract
Unstructured and unorganized data always degrade the performance of search techniques and produce irrelevant results in response to the query as well as decrease the speed of retrieval results. Ontology in Semantic Web (SW) provides an adequate solution to represent the knowledge, because of its backbone knowledge of an application or domain. But, a domain ontology has three basic problems while retrieving useful knowledge from a domain ontology- structuring/arrangement, unnecessary knowledge reduction, selection and extraction, and speeding up the retrieval process. To handle such a problem, the MLK-rBO model is proposed that works for four different phases- clustering, knowledge discovery, building a probabilistic network, and model evaluation using the ensemble approach of three different techniques namely clustering, rough set, and Bayesian network (BN). Finally, the proposed model is tested with statistical parameters and compared with other models namely DT, RF, and SVM to check the effectiveness of MLK-rBO. By analyzing the experimental results, we observed that the MLK-rBO gives better accuracy (98.36 \%) than the available models.
Understanding Bike-sharing Mobility Patterns in Response to the COVID-19 Pandemic
Authors: jia jianmin , Liu Chunsheng , Zhang Hui , Xiao Yan , Wang Xiaohan 
Published: December 2022

Abstract
The outbreak of COVID-19 brings huge challenges to the bike-sharing system and even society structure. Thus, it is urgent to fully understand the impacts of pandemic on bike-sharing behavior. This paper proposed a comprehensive approach to investigate the mobility patterns influenced by the outbreak of COVID-19 pandemic with the case in Washington D.C. Multiple-source data, including bike-sharing trip information, COVID-19 information, geographic and POI information, were collected. Although the total bike-sharing trips decreased up to 80% in spatial-temporal analysis, the trips made by casual user still increased. In addition, the docking stations and trips from 2019 to 2021 were utilized to construct the bike-sharing network. The results present that major network properties, such as connectivity, clustering coefficient, and accessibility, experienced significant decrease during the pandemic. Through the detection of community with modularity method, the evolution of community structure before and after pandemic was captured. The increased long-range and long-time bike-sharing trips results in the combination between central communities and outer communities. To better understand the community structure, the POI (Point of Interests) auxiliary analysis was conducted and central community was found to have similar proportion of POIs even during the pandemic. Implications for bike-sharing management and operation policy was also addressed.
Mining immune-related LncRNAs in ovarian cancer for prognostic risk modelling and screening of potential target drugs
Authors: Dong Ying , Deng Yue , Zhao Lizhu , Yang Lihua 
Published: December 2022

Abstract
Objective: To screen out ovarian cancer (OC) immune-related LncRNAs, construct a prognostic model for OC and screen out target molecular drugs for OC based on comprehensive bioinformatics analysis.
METHODS: Gene expression matrices of 586 OC samples and clinical information of patients were downloaded from the TCGA database, and gene expression matrices of 122 normal OC samples and clinical information of patients were downloaded from the GTEx database, and comprehensive bioinformatics analysis methods were performed, including identification of prognosis-related immune genes (PI-genes), construction of OC prognostic models and their differential gene analysis, survival analysis, risk analysis, independent prognostic analysis and ROC curve mapping, immune correlation analysis and screening of potential target drugs for OC.
Results: 540 immune-related lncRNAs (I-lncRNAs) and various clinical traits were analysed for differential gene expression, followed by the identification of 49 PI-genes and the construction of the prognostic model based on 27 candidate PI-genes (CPI-genes) (COLCA1, MINCR, AC068792.1, AL391807.1, AC027020.2, MINCR, AC068792.1, AL391807.1, AL391807.1, AL391807.1, AL391807.1). AC027020.2, MIRLET7BHG, DLGAP1-AS1, DICER1-AS1, AJ011932.1, AC091806.1, FAM27E3, ALDH1L1-AS2, AC008522.1, AC112491.1, AC134312.1, AC010733.1, FRMD6-AS2, DLGAP1-AS2, PSMB8-AS1, AC012645.4, SLX1A-SULT1A3, AC027348.1, FAM157C, AL121845.4, CHRM3-AS2, PKP4-AS1, U62631.1) . The subsequent analysis showed that the prognostic model could predict the survival and risk prognosis of patients in the high and low-risk groups and validated the independent predictive ability and predictive accuracy of the prognostic model, as well as clarified its relationship with immune function. Finally, three potential target drugs for OC (Ponatinib, Luminespib and Axitinib) were identified.
CONCLUSION: A prognostic model for OC based on 27 CPI-genes was constructed, and three potential target molecular drugs were screened, which is expected to provide new ideas for prognostic prediction and precise treatment of OC.
The potential role of lipopeptide biosurfactant generated by Acinetobacter junii B6 on Leishmania tropica: The synergy of lipopeptide biosurfactant and Glucantime
Authors: Sharifi Fatemeh , Ohadi Mandana , Mohamadi Neda , Salarkia Ehsan , Banat Ibrahim M. , Dehghannoudeh Gholamreza 
Published: December 2022

Abstract
An in vitro investigation was carried out to assess how the lipopeptide biosurfactant (LPB) produced by Acinetobacter junii B6 affects Leishmania tropica infection and the associated cytokine gene expression in macrophages infected with L. tropica. Glucantime® (meglumine antimoniate, MA) and LPB were investigated for their leishmanicidal effect, alone and in combination (LPB + MA), using a colorimetric test and a macrophage model. Immunomodulatory impact was also evaluated through analysis of Th1 and Th2 cytokine gene expression in infected macrophages after treatment with MA and LPB, individually and in combination. The MA/LPB combination showed higher inhibitory impacts on L. tropica amastigotes and promastigotes than each alone. Cytokine gene expression confirmed LPB’s affinity to IFN-γ, affirming the elevated IL-12p40 and IFN- γ concentrations in addition to a reduction in the secretion of IL-10 in a dose-dependent manner, particularly in combined treatment. The results indicated higher effectiveness of LPB along with MA in the reduction of the parasite growth and promoting the immune reaction level, which may be considered as a possible therapeutic strategy to treat those with anthroponotic cutaneous leishmaniasis.
Performance of clinical signs and symptoms, rapid and laboratory diagnostic tests for diagnosis of human African trypanosomiasis by passive screening in Guinea: a non-interventional, prospective cross-sectional study
Authors: Camara Oumou , Camara Mamadou , Falzon Laura Cristina , Ilboudo Hamidou , Kaboré Jacques , Compaoré Charlie Franck Alfred , Fèvre Eric Maurice , Büscher Philippe , Bucheton Bruno , Lejon Veerle 
Published: December 2022

Abstract
Background: Passive diagnosis of human African trypanosomiasis (HAT) at the health facility level is a major component of HAT control in Guinea. We examined which clinical signs and symptoms are associated with HAT, and assessed the performance of selected clinical presentations, of rapid diagnostic tests (RDT), and of laboratory tests on dried blood spots (DBS) for diagnosing HAT.
Method: The study took place in 11 health facilities in Guinea, where 2345 clinical suspects were tested with RDTs HAT Sero-K-Set, rHAT Sero-Strip, and SD Bioline HAT. Seropositives underwent parasitological examination to confirm HAT and their DBS were tested in indirect ELISA/T.b. gambiense, trypanolysis, LAMP and m18S qPCR. Multivariable regression analysis assessed association of clinical presentation with HAT. Sensitivity, specificity, positive and negative predictive values of key clinical presentations, of the RDTs and of the DBS tests for HAT diagnosis were determined.
Results: The HAT prevalence, as confirmed parasitologically, was 2.0% (1.5-2.7%). Odds ratios (OR) for HAT were increased for participants with swollen lymph nodes (OR 96.7), important weight loss (OR 20.4), severe itching (OR 45.9) or motor disorders (OR 4.5). Presence of at least one of these clinical presentations was 75.6% (73.8-77.4%) specific and 97.9% (88.9-99.9%) sensitive for HAT. HAT Sero-K-Set, rHAT Sero-Strip, and SD Bioline HAT were respectively 97.5% (96.8-98.1%), 99.4% (99.0-99.7%) and 97.9% (97.2-98.4%) specific, and 100% (92.5-100.0%), 59.6% (44.3-73.3%) and 93.8% (82.8-98.7%) sensitive for HAT. All DBS tests had specificities ≥ 92.9%. While LAMP and m18S qPCR sensitivities were below 50%, trypanolysis and ELISA/T.b. gambiense had sensitivities of 85.3% (68.9-95.0%) and 67.6% (49.5-82.6%).
Conclusions: Presence of swollen lymph nodes, important weight loss, severe itching or motor disorders are simple but accurate clinical criteria for HAT referral in Guinea. Diagnostic performances of HAT Sero-K-Set and SD Bioline HAT are sufficient for referring positives to microscopy. Trypanolysis on DBS may discriminate HAT patients from false RDT positives.
Trial registration: The trial was registered under NCT03356665 in clinicaltrials.gov (November 29, 2017, retrospectively registered https://clinicaltrials.gov/ct2/show/NCT03356665).
Criteria for three classical problems of downwardly skip-free processes
Authors: Mao Yonghua , Yan Yanyan , Zhang Yuhui 
Published: December 2022

Abstract
This paper devotes to studying downwardly skip-free processes (also called single death processes), motivated by a known result, that is, the uniqueness of a time-continuous Markov chain is equivalent to the recurrence of the embedding chain on an enlarged state space corresponding to the original process. The uniqueness, extinction, recurrence and ergodicity (namely, positive recurrence) criteria for the process are obtained. The main new ideas in our proofs are the use of potential theory, method of limit approximation, and the strong Markov property of the process. Some examples are included to illustrate these results are quite effective. Particularly, applying our results to an extended class of branching process, this paper settles the question of its uniqueness which Chen unsolved when dealing with the above problems of this process.
MAD2L1 Promotes Ewing's Sarcoma Progression Through AURKA/MYC Axis
Authors: Chen Huimou , Hu Jing , Wang Juan , Liu Juan , Chen Binbin , Zhang Yu , Song Mengjia , Li Mengzhen , Hong Ye , Sun Feifei , Huang Junting , Zhu Jia , Zhen Zijun , Que Yi , Lu Suying , Zhang Yizhuo 
Published: December 2022

Abstract
Background:Ewing's sarcoma (ES) is a rare and highly aggressive malignant tumor arising from bone and soft tissue. However, driver genes in ES have not been fully identified. It is extremely urgent to identify new tumor markers for ES and transform them into clinical practice
Methods: Bioinformatics analysis was applied to identify the hub genes in ES. Immunohistochemistry analysis was applied to detect the protein expression levels of potential targets of MAD2L1. ES cell lines and xenograft models were used to investigateprotein functions of MAD2L1.
Results:In this study, the expression level of mitotic arrest deficient 2 like 1 (MAD2L1) was found to be significantly upregulated in both ES tissues and cell lines. The expression of MAD2L1 was prominently correlated with event-free survival (EFS) and overall survival (OS). Furthermore, MAD2L1 acted as an oncogene in ES. MAD2L1 inhibition markedly reduced the proliferation and induced the apoptosis of ES cells in vitro and attenuated tumorigenesis in vivo. In terms of underlying mechanisms, we found that MAD2L1 promoted ES progression through the Aurora kinase A (AURKA)/MYC axis.
Conclusion:In summary, MAD2L1 induced cell proliferation and anti-apoptosis capabilities through the AURKA/MYC axis, which provides new insights into the tumorigenesis of ES. Thus, MAD2L1 may be a potential target for clinical intervention in ES patients.
Quality of life in patients with primary hyperparathyroidism before and after parathyroidectomy: long term single center experience
Authors: Ionova T.I. , Buzanakov D.M. , Chernikov R. A. , Efremov S.M. , Gladkova I.N. , Nikitina T.P. , Sleptsov I.V. , Zolotoukho A.V. , Bubnov K.A. , Skvortsov V.V. , Vinogradova A.A. , Rusakov V.F. 
Published: December 2022

Abstract
Purpose. Primary hyperparathyroidism (PHPT) is a common endocrine disorder caused by a parathyroid tumor or hyperplasia, which is often accompanied with quality of life (QoL) impairment. A parathyroidectomy (PTХ) is the preferred standard treatment for PHPT patients. In this single center study we аimed to evaluate the impact of PHPT оn patient’s QoL and identify QoL changes at early and long-term follow-up after surgery. Methods. All the patients underwent routine PTХ with the removal of the suspected hyperparathyroid gland(s). Patients filled out generic QoL questionnaire RAND SF-36, specific questionnaire PHPQoL and specific symptom assessment questionnaire PAS upon admission to the hospital before surgery, at 3 months, 12 months and 24 months after surgery. Results. A total of 92 patients with PHPT (median age was 56 years, 95.7% females) were included in the study. Before PTХ patient’s QoL was significantly lower as compared to healthy controls (p < 0.01). Almost 40% of patients had poor or very poor QoL. After surgery there was significant improvement in QoL by all scales of SF-36 questionnaire, excluding bodily pain, and the PHPQoL total score (GEE, p < 0.01) as compared with their values before surgery. Decreased mental component of QoL by PHPQoL (OR = 0.927, 95%CI = 0.874–0.984, p = 0.013) predicted improved QoL after surgery. Conclusions. Patients with PHPT demonstrated significantly impaired QoL in physical, psychological and social functioning as well experienced a wide profile of common PHPT symptoms. Successful PTX was accompanied with remarkable QoL improvement and decrease in subjective symptoms for at least 24 months after surgery.
Sentiment Analysis on Text Reviews Using Lexicon Selected-Bert Embedding (LeBERT) Model with Convolutional Neural Network
Authors: Mutinda James 
Published: December 2022

Abstract

Sentiment analysis has become an important area of research in natural language processing. This technique has a wide range of applications such as comprehending user preferences in ecommerce feedback portals, politics, and in governance. However, accurate sentiment analysis requires robust text representation techniques that can convert words into precise vectors that represent the input text. There are two categories of text representation techniques: lexicon-based techniques and machine learning-based techniques. From research, both techniques have limitations. For instance, pre-trained word embeddings such as Word2Vec, Glove and Bidirectional Encoder Representations from Transformers (BERT) generate vectors by considering word distances, similarities and occurrences ignoring other aspects such as word sentiment orientation. Aiming at such limitations, this paper presents a sentiment classification model (named LeBERT) combining Sentiment Lexicon, N-grams, BERT and CNN. In the model, Sentiment Lexicon, N-grams and BERT are used to vectorize words selected from a section of the input text. CNN is used as the deep neural network classifier for feature mapping and giving the output sentiment class. The proposed model is evaluated on Yelp’s three datasets (movie, restaurant and products’ reviews) using accuracy, precision and F-measure as performance metrics. The experimental results indicate that the proposed LeBERT model outperform the existing state-of-the-art models with an F-measure score of 88.73% in binary sentiment classification.
Fertiliser equivalent value of dairy processing sludge-derived STRUBIAS products using ryegrass (Lolium perenne L.) and spring wheat (Triticum aestivum)
Authors: Shi Wenxuan , Fenton Owen , Ashekuzzaman S. M. , Daly Karen , Leahy J. J. , Khalaf Nidal , Chojnacka Katarzyna , Numviyimana Claver , Warchoł Jolanta , Healy Mark.G. 
Published: December 2022

Abstract
Struvite, biochar and ash products (collectively known as STRUBIAS) products derived from different waste streams are used as fertilisers in agriculture. Raw dairy processing sludges (DPS) show promise as bio-based fertilisers, but their STRUBIAS-derived equivalents have not yet been tested as fertilisers. The objective of this study was to calculate the equivalence of phosphorus mineral fertiliser equivalency (P-MFE) using the apparent P recovery (APR) method for Fe-DPS and DPS-derived struvites (Struvite1-4), hydrochars (HC1-3) and ash and, for the first time, to quantify their suitability as fertilisers for ryegrass (Lolium perenne L.) and wheat (Triticum aestivum). The results of the P-MFE pot trials showed that the products can be divided into two groups: (1) a range of products that can (i.e., Struvite1-3) and (2) cannot (i.e., Struvite 4, HC1-3, ash and Fe-DPS) be considered as fertilisers. In the first group, the P-MFE ranged from 66.8 to 76.7% for ryegrass and from 77.9 to 93.5% for spring wheat grain. In the second group, the P-MFE ranged from 7.8 to 58.3% for ryegrass and from -34.5 to -151.3% for spring wheat grain. Processing solutions are available to overcome agronomic performance deficits for some products. These include, for example, the avoidance of Fe dosing salts (in the case of struvite) by using biological methods of P removal or utilisation of oxalic acid during struvite precipitation, which removes Fe from the process chain and produce higher yields. Future policy and research must be aware that not all STRUBIAS products are suitable as fertilisers and therefore need to be tested individually.
A data-adaptive dimension reduction for functional data via penalized low-rank approximation
Authors: Park Yeonjoo , Oh Hee-Seok , Lim Yaeji 
Published: December 2022

Abstract
We introduce a data-adaptive nonparametric dimension reduction tool to obtain a low-dimensional approximation of functional data contami- nated by erratic measurement errors following symmetric or asymmetric distributions. We propose to apply robust submatrix completion tech- niques to matrices consisting of coefficients of basis functions calcu- lated by projecting the observed trajectories onto a given orthogonal basis set. In this process, we use a composite asymmetric Huber loss function to accommodate domain-specific erratic behaviors in a data- adaptive manner. We further incorporate the L1 penalty to regularize the smoothness of latent factor curves. The proposed method can also be applied to partially observed functional data, where each tra- jectory contains individual-specific missing segments. Moreover, since our method does not require estimating the covariance operator, the extension to any dimensional functional data observed over a contin- uum is straightforward. We demonstrate the empirical performance in estimating lower-dimensional space and reconstruction of trajectories of the proposed method through simulation studies. We then apply the proposed method to two real datasets, one-dimensional Advanced Metering Infrastructure (AMI) data and two-dimensional max precip- itation spatial data collected in North America and South America.
Determines the Impact of Economic growth components on the IIT, HIIT, and VIIT between China and South Asian countries.
Authors: Shahzad Umer , He Xiaoyin 
Published: December 2022

Abstract
Bilateral trade has significantly influenced economic growth over the past few decades. This study examines bilateral intra-industry trade between China and South Asian countries from 2000 to 2020. Intra-industry trade IIT is further decomposed into vertical intra-industry VIIT and horizontal intra-industry HIIT to indicate two-way and one-way trade relationships. The estimated results show that in the South Asian region, only two countries, Pakistan and India, have a two-way bilateral trade relationship with China, and the intra-industry trade between China and South Asian countries rapidly increased from 2000 to 2020, which positively impacted bilateral economic growth between China and South Asian countries. The findings of the GLS model examine Bilateral cross-section GDP, GDP per capita, FDI, and Min. GDP and Language have a positive and significant impact on IIT but a negative impact on both HIIT and VIIT but the Bilateral Trade cross-section difference FDI, Max. GDP and LXMGDP have a negative influence on IIT but have a positive and significant influence on both HIIT and VIIT.
Selected Soil Properties under different land uses and Carbon Sequestration in Gurra Watershed: The Case of Chalia District, West Shoa Zone, Oromia, Ethiopia
Authors: Chimdi Achalu , Gurmessa Emiru 
Published: December 2022

Abstract
This study was conducted in the Gurra watershed of the Chelia District to determine the current state of soil characteristics as well as the current organic carbon and equivalent CO2 sequestration potential of the watershed's various land uses (forest, grazing, and agricultural). Random sampling techniques were used to collect composite soil samples from (0-30cm) depth for each land use, which were then tested for selected soil physicochemical parameters using conventional protocols. The forest and cultivated land textural classes were loam clay loam and loam clay loam, respectively. Soil pH in forest and grazing lands respectively were 5.9 and 5.2. Higher BD in grazing (1.113g/cm3) and lower (0.818g/cm3) in forest land was recorded. The values of micro nutrients Fe, Cu, Mn and Zn (282.07, 3.768, 44.94 and 2.82ppm) and Fe, Cu, Mn and Zn respective values of (107.44, 0.932, 16.51 and 0.433ppm) were recorded forest and cultivated lands, respectively. Similarly, the highest (10.24%) and lowest (4.31%) SOM were recorded in forest and cultivated lands. The same was true for TN(0.56, 0.22)%, available P(16.28, 0.28) ppm and total P(37.28, 0.64) ppm, CEC(64, 37.3)cmol(+)kg-1, exchangeable bases(54.26, 21.66) cmol (+)kg-1 and OC(5.94, 2.5)%. However, exchangeable acidity (1.6, 0.48) cmol (+) kg-1 was recorded in cultivated and lowest in forest land. The watershed sequestered 84,150 tons of CO2e and stored 22,930 tons of SOC with estimated value of USD 336,600 in the current value. Similarly, SOC sequestration potential and equivalent CO2 sink potential were deceasing (14.58, 8.92 and 6.33)t/h and(53.52, 32.72 and 23.23) t/ha from forest, Grazing and cultivated lands, respectively. Land uses have an effect on soil physicochemical proprieties and also on climate changes. Lowest amount of OC, OM and TN was recorded in cultivated land. SOC storage potential of cultivated land (6.33Mg/ha) was almost 2 times lower than that of forest land (14.58Mg/ha). In this study, forest land was the major reservoir of SOC and sinks of CO2e and plays a significant role in mitigating climate change and improving the fertility and productivity of the lands. Effects of land use changes can be seen not only in soil properties but also on climate changes. Therefore, due attention shall be given to improve soil properties, to conserve natural resources by using crop residue, crop rotation, applying fallowing and agro-forestry practices as well as incorporating SOC in polices of green economy and planting N-fixing species in the area.