bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a quadruple PCR-based gene microarray for detection of vaccine and wild-type classical swine fever virus, African swine fever virus and atypical porcine pestivirus.
Authors: Xia Ying-ju , Xu Lu , Zhao Jun-jie , Li Yuan-xi , Wu Rui-zhi , Song Xiang-peng , Zhao Qi-zu , Liu Ye-bing , Wang Qin , Zhang Qian-yi 
Published: September 2022

Abstract
Background: Classical swine fever (CSF), African swine fever (ASF) and atypical porcine pestivirus (APPV) are acute, virulent and contagious viral diseases currently hampering pig industry in China, which result in mummification or stillbirths in piglets and mortality in pigs. Diagnostic assay for the differentiation of infection and vaccination of CSFV in addition to the detection of ASFV and APPV are urgently required for better prevention, control and elimination of these viral diseases in China. Methods: A quadruple PCR-based gene microarray assay was developed in this study to simultaneously detect wild type and vaccine CSFV strains, ASFV and APPV according to their conserved regions. 42 laboratory confirmed samples including positive samples of other 10 swine viral diseases were tested using this assay to confirm its high specificity.Results: The limit of detections (LODs) of this assay for the wild type and vaccine CSFV were 6.98 and 6.92 copies/µL. LODs for ASFV and APPV were 2.56 ×10 and 1.80×10 copies/µL, respectively. When compared with standard RT-PCR or qPCR for CSFV (GB/T 26875-2018), ASFV (MARR issue No.172) or APPV（CN108611442A）using 219 clinical samples, the coincidence was 100%. The results showed that this assay with high sensitivity can specifically distinguish ASFV, APPV and CSFV including CSFV infection and immunization.Conclusion: This assay provides a practical, simple, economical and reliable test for the rapid detection and accurate diagnosis of the three viruses, and may have good prospects for application in epidemiological investigation, prevention and control and elimination of these three diseases.
Changes in fish species diversity, size structure and distribution in the trawlable demersal zones of Lake Malawi, Malawi
Authors: M'balaka Mwamad S. , Kaunda Emmanuel , Kanyerere Geoffrey , Jamu Daniel , Msukwa Amulike 
Published: September 2022

Abstract

A study was conducted to assess temporal and spatial changes in the trawlable demersal zones of Lake Malawi. Data from surveys conducted in 1998 and 2020 targeting 120 stations covering a surface area of 9,647.97km2 was used. Trawling speed of Research Vessel Ndunduma was restricted to 4.6km/hr. Length frequency distribution was modelled with the probability density function for determining the likelihoods in the gamma distribution. Parameters for modal length and logistic modelling were guessed and Solver in Microsoft Excel 2021 was used to generate the best of fit values through iteration with GRG Nonlinear approach. The study determined fish diversity using the Shannon and Weiner relationship. The recent survey recorded fewer fish species (149) against 158 sampled in the previous survey. The overall catch rates in 2020 and 1998 ranged from 3.8kg/0.5hr to 2003.8kg/0.5hr and 28.7 kg/0.5 to 1,884.3 kg/0.5hr, respectively. Overall fish density in the 2020 and 1998 surveys was calculated at 11.7tons/km2 and 7.5tons/km2, respectively representing a 35.6% drop. The study has revealed temporal and spatial shifts in the fish stock composition, distribution and abundance which necessitates urgent management interventions to prevent further fisheries resource losses. Efforts to regulate mesh sizes of the cod-ends of trawlers are encouraged just like the initiative of introducing a closed season for the commercial operators.
Severe COVID-19 in the Basque Country, Spain: Risk Prediction Model with Genetic and Clinical Factors
Authors: Zulueta Mirella , Aurrekoetxea Josu , Mendizabal Leire , Gaztambide Sonia , Arregi Maddi , Hoz Ana Belén , Arana-Arri Eunate , Saso Laura , Gomez-Conde Sara , Martinez-Salazar Rosa , Urrutia Inés , Sanchez-Moran Mirian , Garcia-Castaño Alejandro , Pérez-Nanclares Gustavo , Velasco Olaia , Calvo Begoña , Simon Laureano , Castaño Luis 
Published: September 2022

Abstract

Risk stratification for adults infected with SARS-CoV-2 COVID-19 continues to be essential to inform decisions about individual patients and allocation of resources and treatment options. Accurate knowledge of individual risk of severe COVID-19 can make an important contribution to healthcare both on a population and a personal level. There are currently few tools and solutions that help medical professionals to predict the evolution of SARS-COV-2 infected patients. So far, risk models for severe COVID-19 outcomes have included age and clinical comorbidities. The first wave of the COVID-19 pandemic spread rapidly in Spain, one of Europe’s most affected countries. In this retrospective study we analyzed genotypic and phenotypic data from 659 patients in the Basque region of Spain during the first wave of COVID-19, and compared mild with severe COVID-19 cases. Using genetic variants data as well as clinical variables of the participants we built a prediction model of severe COVID-19. We obtained robust results in the training data set with 85% sensitivity, 67% specificity and an Area Under the Curve (AUC) of 0.78. In the validation set the AUC was 0.75. The main advantage of our model is that because it includes genetic variants it could be used with medical records to identify the critical population in advance.
Supply Chain Management and Backorder Products Prediction Utilizing Neural Network and Naive Bayes Machine Learning Techniques in Big Data Area: A Real- life Case Study
Authors: Gao Hui , Ren Quanhui , Lv Chunfeng 
Published: September 2022

Abstract
Due to a lack of clarity and adaptability, the application of machine learning algorithms for prediction in many commercial decision-making processes is suboptimal. Inputs of erroneous data into the prediction process may result in inaccurate forecasts. In this respect, we intend to include machine learning models in business decision-making by forecasting product backorders while giving decision-makers greater flexibility, process clarity, and precision. This research predicts product backorders using neural network and naive bayes algorithms. This study demonstrates how our approach forecast backorder products before actual sales. The methodology described in this study can be applied to anticipate backorders in different supply chain scenarios. Nevertheless, the current work encompasses a real-life case study to test the proposed technique based on data acquired from a known e-commerce business in Tehran, Iran. Indeed, these two algorithms were executed once the data preparation stages were completed. Present research carried out different performance metrics on the dataset to evaluate the efficacy of our proposed neural network and naive bayes models. The experimental results attain a new level of state-of-the-art performance in terms of standard evaluation criteria.
Juvenile dermatomyositis treated with methylprednisolone repeated intermittent pulse combined with mycophenolate mofetil: A retrospective case series study
Authors: Wang Jinghua , Liu Jinxiang , Pan Lu , Wang Shuning , Punaro Marilynn , Yang Sirui 
Published: September 2022

Abstract
Background: This study aimed to investigate the clinical effectivity of intravenous methylprednisolone repeated intermittent pulse combined with mycophenolate mofetil in the treatment of newly diagnosed juvenile dermatomyositis and to review the literatures.
Methods: Reviewed the clinical data of 12 juvenile dermatomyositis patients, from January 2014 to January 2017, hospitalized and treated with intravenous methylprednisolone repeated intermittent pulse combined with mycophenolate mofetil.
Results: A total of 12 patients were enrolled, and their overall treatment response rate was 100%. After treatment, all patients showed significant improvement in cutaneous performance and children myositis assessment scores. The median recovery time of muscle enzyme and children myositis assessment scores were 1.8 months and 19.6 months, respectively. During the intravenous methylprednisolone repeated intermittent pulse treatment, the body weight percentile was higher than that before treatment, blood pressure and intraocular pressure were transiently increased, and the level of serum lipids, glucose and calcium showed no significant changes. During the maintenance treatment period, the height percentile was increased when compared to those before treatment, while the weight percentile, blood pressure and intraocular pressure of the patients showed no significant changes. Two patients with recurrence were followed up for more than 3 years after corticosteroid re-withdrawal, and no relapse was seen till now.
Conclusion: Intravenous methylprednisolone repeated intermittent pulse combined with mycophenolate mofetil showed positive outcomes and good safety index in juvenile dermatomyositis patients. It is likely considered to be a promising treatment strategy for juvenile dermatomyositis.
Trial registration: ClinicalTnals, ID：NCT05509140. Registered 18 August 2022 - Retrospectively registered, https://register.clinicaltrials.gov/prs/app/action/LogoutUser?uid=U00052MF&ts=12&cx=mcg5gj.
Loss of NPM2 Expression Is A Potential Immunohistochemical Marker for Malignant Peritoneal Mesothelioma : A Single-Center Study of 92 Cases
Authors: Wu He-liang , Yang Zhi-ran , Su Yan-dong , Ma Ru , Du Xue-mei , Gao Ying , Li Yan 
Published: September 2022

Abstract
Background
To explore the correlation between the expression level of nucleoplasmin 2 (NPM2) and the main clinicopathological characteristics and prognosis of malignant peritoneal mesothelioma (MPM).
Methods
Ninety-two postoperative specimens from MPM patients following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy were collected. Postoperative specimens were stained with immunohistochemistry. The expression level of NPM2 was quantitatively analyzed by QuPath-0.3.2 software. Univariate and multivariate analyses were conducted to investigate the correlation between NPM2 expression and other conventional clinicopathological characteristics.
Results
Among the 92 MPM patients, there were 47 males (48.9%) and 45 females (51.1%), with a median age of 56 (range: 24–73). There were 70 (76.0%) cases with loss of NPM2 protein expression, 11 (12.0%) cases with low expression, and 11 (12.0%) cases with high expression. Univariate analysis showed that NPM2 protein expression level (negative vs. low expression vs. high expression) was negatively correlated with the following three clinicopathological factors: completeness of cytoreduction (CC) score, vascular tumor emboli, serious adverse events (SAEs) (all P < 0.05). Multivariate analysis showed that NPM2 protein expression level (negative vs. low expression vs. high expression) was independently negatively correlated with the following two clinicopathological factors: CC score [odds ratio (OR) = 0.317, 95%CI: 0.317–0.959, P = 0.042], vascular tumor emboli (OR = 0.092, 95%CI = 0.011–0.770, P = 0.028). Survival analysis showed that loss of NPM2 protein expression (negative vs. positive) was associated with poor prognosis of MPM.
Conclusions
Loss of NPM2 expression is a potential immunohistochemical marker for MPM.
CQFaRAD: Collaborative Query-Answering Framework for a Research Article Dataspace
Authors: Singh Mrityunjay , Pandey Shivam , Saxena Rohaan , Chaudhary Maheep 
Published: September 2022

Abstract
Dataspace systems cope with the problem of integrating a variety of data based on its structures and semantics such as structured, semi-structured, and unstructured data, and returns the best-effort or approximate answers to their users. The existing works on query answering in a dataspace system are content-based and paid attention to return the best answers to the users without taking care of their preferences. This paper aims to consider not only the content-based information but also the users' preferences while answering the users' queries. Therefore, we present a Collaborative Query-Answering Framework for a Research Article Dataspace (CQFaRAD) that helps to efficiently answer the users' queries and returns more prominent answers to them. In this work, we present a collaborative approach that adopts the advantages of existing content-based and users' preferences-based approaches. To achieve this task, we use the BERT model to represent our dataspace and users' query. We have validated our proposed approach on the research papers dataset available on Kaggle. The experimental results show that our approach works fairly well to return relevant information to the users.
Plating the hot potato – how to make intermediate bioenergy carriers an accelerator to a climate neutral Europe
Authors: Siegfried Konrad , Blümel Linda , Riedel Fabian , Moosmann David , Cyffka Karl-Friedrich , Richters Mark , Reumerman Patrick , Vos John , Matisons Magnus , Thrän Daniela 
Published: September 2022

Abstract

Background With bioenergy on a sustainable resource base in the European energy mix, intermediate bioenergy carriers (IBC) become of growing importance, as they can ensure a more efficient utilisation of biomass feedstocks from agricultural and forest residues [1]. A high potential for market uptake is foreseen for fast pyrolysis bio-oil (FPBO), one of several IBCs. While facing the chicken and egg problem in market entry, it is crucial to develop adequate strategies to support market implementation. Method With an adopted PESTEL method [2, 3], we analysed a promising value chain in which FPBO is produced from sawdust in Sweden and Finland, transported to the Netherlands and upgraded and marketed as a marine biofuel. Macro-environmental factors were collected, coded, and classified in so-called PESTEL + I categories (political, economic, social, technological, ecological, legal, infrastructural). Results Our results show that the market uptake of IBCs such as FPBO and subsequently produced biofuels above all is driven by the European Renewable Energy Directive II (RED II) [4]. In Annex IX Part A, sawdust is listed as a feedstock for advanced biofuels, which can be double counted towards the 14% renewable energy share goal in the transport sector in 2030. To support the use of advanced biofuels in the maritime and aviation sector, the proposal for revision of RED II 2021 contains a new multiplier (1.2x) for fuels delivered to these sectors, while all other multipliers are deleted [5]. These legal European obligations and implementation into national law of member states create strong incentives for many downstream market actors to use advanced biofuel. However, technological challenges for FPBO use such as metal interference with catalysts in fluid catalytic crackers in refineries and ongoing standardisation processes still hamper fast market introduction. Conclusions Overcoming technology challenges and the creation of long-term validity of guidelines and regulatory framework will create stable market conditions, investment security and finally will stimulate long-term offtake agreements between feedstock providers, technology developers and downstream customers.
Exercise stress electrocardiography using the two-minute jump test in children
Authors: Koyama Yutaro , Miura Masaru , Maeda Jun , Morikawa Yoshihiko , Yamagishi Hiroyuki 
Published: September 2022

Abstract

Although the treadmill and cycle ergometer are commonly used for exercise stress electrocardiography (ECG) testing, they are often difficult to perform with children. We herein evaluated the utility and safety of the two-minute jump test (2MJT) as a simple, alternative exercise test. One hundred patients, including 60 male patients, with an average age at study commencement of 10.7 ± 3.5 years (mean ± standard deviation) and with no exercise restriction who underwent a cardiac check-up between November 2020 and March 2022 at the study center were included. After recording their resting ECG, they jumped for two minutes during ECG recording, and the change in heart rate (HR), ECG findings, and occurrence of adverse events were investigated. The patients were asked to jump 185 ± 60 times in two minutes. As a result, their HR increased from 76 ± 13 beats/min at rest to 172 ± 18 beats/min at peak during the test. Ninety (90%) patients attained the ideal target HR of > 150 beats/minute. Five patients had abnormal ECG findings (ventricular extrasystoles, second-degree atrioventricular block, and atrial extrasystoles in two, two, and one patient, respectively) after loading but achieved complete spontaneous recovery within three minutes. Our findings suggested that the 2MJT is a useful and safe exercise test capable of inducing sufficient increase in HR in a short time in children.
Enhanced Pinch Flow Fractionation using inertial streamline crossing
Authors: de Timàry Guillaume , Cappello Jean , Scheid Benoit 
Published: September 2022

Abstract
In this work, we study the influence of inertia on the dynamics of neutrally buoyant spherical microbeads of varying diameter in a Pinch Flow Fractionation device. To that aim, we monitor their trajectory over an unprecedented wide range of flow rates and flow rate ratios. Our experimental results are supplemented by a depth-averaged 2D-model where the flow is described using the Navier-Stokes equation coupled with the shallow channel approximation and where particles trajectories are computed from Newton’s second law of motion with a particle tracing model. Above a certain flow rate, we show that particles inertia enables them to cross streamlines in response to an abrupt change of direction. These streamline crossing events combined with the increasing effect of the inertial lift forces drive particles to deviate from the inertialess trajectory. The amplitude of the resulting inertial deviation increases both with the particles diameter and the total flow rate before reaching a plateau. Consequently, based on our numerical and experimental results, we determine the optimal flow conditions to shift the particles distribution in order to significantly enhance their size-based separation.
Comparing model based iterative reconstruction to hybrid based iterative reconstruction in stenosis detection during ECG-gated coronary CTA
Authors: Maroun Gilbert , Ghosn Youssef , Serban Diana , Shattal Mohammad Abu , Wakim Wakim , Chokr Jad , Saade Charbel 
Published: September 2022

Abstract
Purpose: To compare the quantitative and qualitative image quality of hybrid (HBIR) and model based (MBIR) iterative reconstruction during coronary Computed Tomography Angiography (CTA). Materials and Methods: Institutional review board approved this retrospective study. Patients (n=200) underwent a single coronary CTA with two iterative reconstruction techniques. Group A employed HBIR and group B employed MBIR. Quantitative and qualitative image quality was compared for each group. The mean attenuation values and signal-to-noise ratio (SNR) of each group were compared. Visual grading characteristics (VGC) and Cohen’s Kappa methodology were measured employing an image quality scoring system for coronary CTA. Receiver operating (JAFROC) and stenosis severity were compared with conventional coronary angiography. A p-value <0.05 was considered statistically significant. Results: Mean attenuation values (HU) in the HBIR group were significantly greater in the cusp (564.18±118.71) and left coronary (517.59±118.63) whilst in the MBIR group, the right coronary (531.67±138.93), left anterior descending (529.82±120.6) and left circumflex (538.32±132.94) arteries were significantly higher (p<0.001). The SNR was significantly greater in MBIR (5.32±1.1) compared to HBIR (3.64±0.8) (p<0.0001), with MBIR being superior to HBIR in the total and individual segments of the coronary arteries. VGC image quality assessment demonstrated that readers preferred HBIR over MBIR (p<0.001). Analysis of JAFROC data demonstrated a significant difference in detection of coronary stenosis in RCA (p<0.021), LCA (p<0.0001) and LD (p<0.0001) with HBIR showing overall smaller variability range compared to MBIR. Conclusion: When comparing quantitative and qualitative image quality, MBIR was superior in the former, whilst HBIR was superior in the later. Coronary artery stenosis assessment demonstrated less variability in diagnosis when using HBIR compared to MBIR. This highlights the need for careful attention when employing iterative reconstruction in order not to impact clinical outcomes.
Identification of a novel HASPIN inhibitor and its synergism with the PLK1 inhibitor
Authors: Kwon Eun-Ji , Mashelkar Karishma K. , Seo Juhee , Shin Yoonze , Sung Kisu , Jang Sung Chul , Cheon Sang Won , Lee Haeseung , Han Byung Woo , Lee Sang Kook , Jeong Lak Shin , Cha Hyuk-Jin 
Published: September 2022

Abstract
Background: HASPIN, a mitotic kinase for Histone H3, is a promising target for anti-cancer therapy. However, as HASPIN is an atypical kinase with low similarity to eukaryotic protein kinases, development of a HASPIN inhibitor from the conventional pharmacophore of kinase inhibitors would be technically challenging. Methods: Chemical modifications of a cytotoxic 4’-thioadenosine analogue with high genotoxicity and multiple kinomescan profiles were performed to produce a novel non-genotoxic kinase inhibitor, LJ4827. The mode of action of this inhibitor with clear anti-cancer activity was inferred based on transcriptomic and chemical similarity to known drugs. Results: The specificity and potency of LJ4827 as a HASPIN inhibitor were validated by in vitro kinase screening and subsequent X-ray crystallography. As predicted, LJ4827 treatment delayed mitosis by clear inhibition of the recruitment of Aurora B at the centromere in cancer cells, without a genotoxic response. Through transcriptome analysis of lung cancer patients, PLK1 was predicted as a druggable synergistic partner to complement HASPIN inhibition. Cotreatment with the PLK1 inhibitor BI2536 and LJ4827 led to pronounced cytotoxicity of lung cancers in vitro and in vivo. Conclusion: Simultaneous inhibition of both HASPIN and PLK1 is a promising therapeutic strategy for lung cancers.
Effects of precipitation season and forest stand on selected ion deposition via through-fall in a rehabilitated forest
Authors: Ibrahim Mohamad Hilmi , Jaafar Salwana , Yamashita Naoyuki , Sase Hiroyuki 
Published: September 2022

Abstract
Less is known about studies into the effects of precipitation season and forest stands on ion deposition in restored forest ecosystems. In the present study, we measured and compared ion deposition (Ca²⁺, Na⁺, Fe²⁺, Cu²⁺, NO₃⁻, NH₄⁺, and SO₄²⁻) in rehabilitated forest sites in Bintulu, Sarawak, Malaysia. Through-fall ion depositions were measured with an ion-exchange resin (IER) sampler. In all forest stand years, Ca²⁺ and NH4+ depositions were consistently lower in the low precipitation season than in the high precipitation season, whereas there were no discernible patterns for Na⁺, Fe²⁺, Cu²⁺, NO₃⁻, or SO₄²⁻ between high and low precipitation seasons. The results also show that through-fall in forest stands in 2002, 2005, and 2008 had higher amounts of Ca²⁺ than through-fall in forest stands in 1996 and 1999 during both seasons. Through-fall from forest stands between 2008 and 2002 showed higher levels of Na⁺ and SO²− in low-precipitation seasons, whereas through-fall from forest stands from 1996 had higher levels in high-precipitation seasons. Overall, these results confirm the significance of rainfall volume and forest canopy stand in defining ion deposition status in the forest by demonstrating that ion deposition is influenced by precipitation season and forest stand via through-fall.