bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting
Authors: Aung Nway Nway , Pang Junxiong , Chua Matthew Chin Heng , Tan Hui Xing 
Published: October 2023

AbstractCOVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pandemic. Various time-dependent factors including the number of daily confirmed cases, reproduction number, policy measures, mobility and flight numbers were collected. A deep-learning model using Bidirectional Long-Short Term Memory (Bi-LSTM) architecture was trained on data from 22nd Jan 2020 to 8 Jan 2021 to forecast the new daily number of COVID-19 cases 14 days in advance across 190 countries, from 9 to 31 Jan 2021. A second model with fewer variables but similar architecture was developed. Results were summarised by mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and total absolute percentage error and compared against results from a classical ARIMA model. Median MAE was 157 daily cases (IQR: 26–666) under the first model, and 150 (IQR: 26–716) under the second. Countries with more accurate forecasts had more daily cases and experienced more waves of COVID-19 infections. Among countries with over 10,000 cases over the prediction period, median total absolute percentage error was 33% (IQR: 18–59%) and 34% (IQR: 16–66%) for the first and second models respectively. Both models had comparable median total absolute percentage errors but lower maximum total absolute percentage errors as compared to the classical ARIMA model. A deep-learning approach using Bi-LSTM architecture and open-source data was validated on 190 countries to forecast the daily number of cases in the early stages of the COVID-19 outbreak. Fewer variables could potentially be used without impacting prediction accuracy.
Identifying prognostic genes related PANoptosis in lung adenocarcinoma and developing prediction model based on bioinformatics analysis
Authors: Zhang Chi , Xia Jiangnan , Liu Xiujuan , Li Zexing , Gao Tangke , Zhou Tian , Hu Kaiwen 
Published: October 2023

AbstractCell death-related genes indicate prognosis in cancer patients. PANoptosis is a newly observed form of cell death that researchers have linked to cancer cell death and antitumor immunity. Even so, its significance in lung adenocarcinomas (LUADs) has yet to be elucidated. We extracted and analyzed data on mRNA gene expression and clinical information from public databases in a systematic manner. These data were utilized to construct a reliable risk prediction model for six regulators of PANoptosis. The Gene Expression Omnibus (GEO) database validated six genes with risk characteristics. The prognosis of LUAD patients could be accurately estimated by the six-gene-based model: NLR family CARD domain-containing protein 4 (NLRC4), FAS-associated death domain protein (FADD), Tumor necrosis factor receptor type 1-associated DEATH domain protein (TRADD), Receptor-interacting serine/threonine-protein kinase 1 (RIPK1), Proline-serine-threonine phosphatase-interacting protein 2 (PSTPIP2), and Mixed lineage kinase domain-like protein (MLKL). Group of higher risk and Cluster 2 indicated a poor prognosis as well as the reduced expression of immune infiltrate molecules and human leukocyte antigen. Distinct expression of PANoptosis-related genes (PRGs) in lung cancer cells was verified using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, we evaluated the relationship between PRGs and somatic mutations, tumor immune dysfunction exclusion, tumor stemness indices, and immune infiltration. Using the risk signature, we conducted analyses including nomogram construction, stratification, prediction of small-molecule drug response, somatic mutations, and chemotherapeutic response.
Artificial intelligence-driven shimming for parallel high field nuclear magnetic resonance
Authors: Becker Moritz , Cheng Yen-Tse , Voigt Achim , Chenakkara Ajmal , He Mengjia , Lehmkuhl Sören , Jouda Mazin , Korvink Jan G. 
Published: October 2023

AbstractRapid drug development requires a high throughput screening technology. NMR could benefit from parallel detection but is hampered by technical obstacles. Detection sites must be magnetically shimmed to ppb uniformity, which for parallel detection is precluded by commercial shimming technology. Here we show that, by centering a separate shim system over each detector and employing deep learning to cope with overlapping non-orthogonal shimming fields, parallel detectors can be rapidly calibrated. Our implementation also reports the smallest NMR stripline detectors to date, based on an origami technique, facilitating further upscaling in the number of detection sites within the magnet bore.
Synthetic MRI in breast cancer: differentiating benign from malignant lesions and predicting immunohistochemical expression status
Authors: Li Xiaojun , Fan Zhichang , Jiang Hongnan , Niu Jinliang , Bian Wenjin , Wang Chen , Wang Ying , Zhang Runmei , Zhang Hui 
Published: October 2023

AbstractTo evaluate and compare the performance of synthetic magnetic resonance imaging (SyMRI) in classifying benign and malignant breast lesions and predicting the expression status of immunohistochemistry (IHC) markers. We retrospectively analysed 121 patients with breast lesions who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and SyMRI before surgery in our hospital. DCE-MRI was used to assess the lesions, and then regions of interest (ROIs) were outlined on SyMRI (before and after enhancement), and apparent diffusion coefficient (ADC) maps to obtain quantitative values. After being grouped according to benign and malignant status, the malignant lesions were divided into high and low expression groups according to the expression status of IHC markers. Logistic regression was used to analyse the differences in independent variables between groups. The performance of the modalities in classification and prediction was evaluated by receiver operating characteristic (ROC) curves. In total, 57 of 121 lesions were benign, the other 64 were malignant, and 56 malignant lesions performed immunohistochemical staining. Quantitative values from proton density-weighted imaging prior to an injection of the contrast agent (PD-Pre) and T2-weighted imaging (T2WI) after the injection (T2-Gd), as well as its standard deviation (SD of T2-Gd), were valuable SyMRI parameters for the classification of benign and malignant breast lesions, but the performance of SyMRI (area under the curve, AUC = 0.716) was not as good as that of ADC values (AUC = 0.853). However, ADC values could not predict the expression status of breast cancer markers, for which SyMRI had excellent performance. The AUCs of androgen receptor (AR), estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), p53 and Ki-67 were 0.687, 0.890, 0.852, 0.746, 0.813 and 0.774, respectively. SyMRI had certain value in distinguishing between benign and malignant breast lesions, and ADC values were still the ideal method. However, to predict the expression status of IHC markers, SyMRI had an incomparable value compared with ADC values.
Application of anti-inflammatory treatment in two different ovine Acute Respiratory Distress Syndrome injury models: a preclinical randomized intervention study
Authors: Wildi Karin , Livingstone Samantha , Ainola Carmen , Colombo Sebastiano Maria , Heinsar Silver , Sato Noriko , Sato Kei , Bouquet Mahé , Wilson Emily , Abbate Gabriella , Passmore Margaret , Hyslop Kieran , Liu Keibun , Wang Xiaomeng , Palmieri Chiara , See Hoe Louise E. , Jung Jae-Seung , Ki Katrina , Mueller Christian , Laffey John , Pelosi Paolo , Li Bassi Gianluigi , Suen Jacky , Fraser John 
Published: October 2023

AbstractWhilst the presence of 2 subphenotypes among the heterogenous Acute Respiratory Distress Syndrome (ARDS) population is becoming clinically accepted, subphenotype-specific treatment efficacy has yet to be prospectively tested. We investigated anti-inflammatory treatment in different ARDS models in sheep, previously shown similarities to human ARDS subphenotypes, in a preclinical, randomized, blinded study. Thirty anesthetized sheep were studied up to 48 h and randomized into: (a) OA: oleic acid (n = 15) and (b) OA-LPS: oleic acid and subsequent lipopolysaccharide (n = 15) to achieve a PaO2/FiO2 ratio of < 150 mmHg. Then, animals were randomly allocated to receive treatment with methylprednisolone or erythromycin or none. Assessed outcomes were oxygenation, pulmonary mechanics, hemodynamics and survival. All animals reached ARDS. Treatment with methylprednisolone, but not erythromycin, provided the highest therapeutic benefit in Ph2 animals, leading to a significant increase in PaO2/FiO2 ratio by reducing pulmonary edema, dead space ventilation and shunt fraction. Animals treated with methylprednisolone displayed a higher survival up to 48 h than all others. In animals treated with erythromycin, there was no treatment benefit regarding assessed physiological parameters and survival in both phenotypes. Treatment with methylprednisolone improves oxygenation and survival, more so in ovine phenotype 2 which resembles the human hyperinflammatory subphenotype.
Burnout dynamic among Ukrainian academic staff during the war
Authors: Tsybuliak Natalia , Suchikova Yana , Shevchenko Liudmyla , Popova Anastasia , Kovachev Serhii , Hurenko Olha 
Published: October 2023

AbstractThis study examined burnout dynamics among Ukrainian academic staff during the full-scale war. A cross-sectional study was conducted twice: the first wave in July 2022 and the second in January 2023. To assess the burnout syndrome as the final outcome, the self-reported Maslach Burnout Inventory-Human Services adapted for socioeconomic professions by Vodopyanova was used and correlated with different characteristics. The results showed a significant positive trend in emotional exhaustion among Ukrainian academic staff, with females being more sensitive to war-related factors. The results demonstrate that prolonged stressful situations associated with the ongoing war and constant changes in professional conditions lead to significant depersonalization dynamics among academic staff of both sexes. For male academic staff, factors such as age and academic position become less significant for depersonalization. However, university relocation and migration processes were significant factors affecting female academic staff’s' perception of effectiveness and accomplishment in their professional activities. The alarming dynamic of burnout levels detected among Ukrainian academic staff urges the national and institutional levels to take prompt actions to enhance the academic staff’s mental health in the workplace for preserving not only the quality of higher education, but also human capital in war times for postwar recovery in Ukraine.
Long-term outcomes of endoscopic resection for duodenal neuroendocrine tumors
Authors: Yi Kiyoun , Kim Gwang Ha , Kim Su Jin , Choi Cheol Woong , Lee Moon Won , Lee Bong Eun , Song Geun Am 
Published: October 2023

AbstractDuodenal neuroendocrine tumors (d-NETs) ≤ 10 mm in size, confined to the submucosal layer, without lymph node or distant metastasis, can be treated safely and effectively by endoscopic management. However, most results are based on limited data and short follow-up outcomes. Herein, we aimed to evaluate the short-term and long-term outcomes of endoscopic resection for d-NETs. We retrospectively analyzed 63 patients with 68 d-NETs who had undergone endoscopic resection at two hospitals between January 2009 and December 2021. En-bloc resection, endoscopically complete resection, and histopathologically complete resection rates were evaluated as short-term outcomes. Furthermore, long-term outcomes were analyzed in 46 patients with 50 d-NETs with a follow-up period of > 1 year. The overall en-bloc, endoscopically complete, and histopathologically complete resection rates were 92.6% (63/68), 100% (68/68), and 69.1% (47/68), respectively. Tumor size (> 5 mm) was the only predictive factor for histopathologically incomplete resection (p = 0.015). The procedure-related bleeding and perforation rates were 0% and 5.9%, respectively. No recurrences were observed in patients with histopathologically complete resection and those with histopathologically incomplete resection at a median follow-up period of 48 months (range 12–132 months). Endoscopic resection for d-NETs ≤ 10 mm in size, limited to the submucosal layer, and without lymph node or distant metastasis provides favorable long-term outcomes when endoscopically complete resection is achieved.
Solubility and stability enhancement of ethanol in diesel fuel by using tri-n-butyl phosphate as a new surfactant for CI engine
Authors: El-Sheekh Mostafa M. , El-Nagar Aya A. , ElKelawy Medhat , Bastawissi Hagar Alm-Eldin 
Published: October 2023

AbstractNowadays, researchers are very interested in improving the stability and solubility of blending diesel fuel with a high percentage of ethanol. As a result, the goal of this paper was to find a way to use the surfactant of Tri-n-butyl phosphate (TBP) substance to blend ethanol with diesel fuel to a level of 40%. Diesel fuel is mixed with ethanol in volumetric proportions of 10%, 20%, 30%, and 40%, as well as a tiny amount of TBP from 1 to 4%. The prepared blends were the subject of an experiment evaluation by fueling a direct injection diesel engine. This engine is a water-cooled, commercial diesel engine, single cylinder, and four-stroke with 12 kW maximum power. The four blends were evaluated as clean fuel mixtures of 10% ethanol/90% diesel/1% TBP, 20% ethanol/80% diesel/2% TBP, 30% ethanol/70% diesel/3% TBP, and 40% ethanol/60% diesel/4% TBP. As the starting fuel, we used 100% diesel to compare the results. The engine’s output and emissions have been measured at various engine loads and constant speeds of 1500 rpm. According to the data gathered, even when the percentage of ethanol was increased to 40%, neither the base fuel nor the engine BTE changed significantly. The engine exhaust gas temperature was found to decrease slightly when the proportion of ethanol was increased. When bioethanol is increased to 40% of the base volume, it causes an increase in the combustion of unburned hydrocarbons and CO emissions. However, when the percentage of ethanol was increased from 100% diesel to the base fuel to 40%, CO2 emissions decreased, and O2 emissions slightly increased.
Understanding the combining ability of nutritional, agronomic and industrial traits in soybean F2 progenies
Authors: das Chagas Paulo Henrique Menezes , Teodoro Larissa Pereira Ribeiro , Santana Dthenifer Cordeiro , Filho Marcelo Carvalho Minhoto Teixeira , Coradi Paulo Carteri , Torres Francisco Eduardo , Bhering Leonardo Lopes , Teodoro Paulo Eduardo 
Published: October 2023

AbstractObtaining soybean genotypes that combine better nutrient uptake, higher oil and protein levels in the grains, and high grain yield is one of the major challenges for current breeding programs. To avoid the development of unpromising populations, selecting parents for crossbreeding is a crucial step in the breeding pipeline. Therefore, our objective was to estimate the combining ability of soybean cultivars based on the F2 generation, aiming to identify superior segregating parents and populations for agronomic, nutritional and industrial traits. Field experiments were carried out in two locations in the 2020/2021 crop season. Leaf contents of the following nutrients were evaluated: phosphorus, potassium, calcium, magnesium, sulfur, copper, iron, manganese, and zinc. Agronomic traits assessed were days to maturity (DM) and grain yield (GY), while the industrial traits protein, oil, fiber and ash contents were also measured in the populations studied. There was a significant genotype × environment (G × A) interaction for all nutritional traits, except for P content, DM and all industrial traits. The parent G3 and the segregating populations P20 and P27 can be used aiming to obtain higher nutritional efficiency in new soybean cultivars. The segregating populations P11 and P26 show higher potential for selecting soybean genotypes that combine earliness and higher grain yield. The parent G5 and segregant population P6 are promising for selection seeking improvement of industrial traits in soybean.
Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients
Authors: Menzel Michael , Ossowski Stephan , Kral Sebastian , Metzger Patrick , Horak Peter , Marienfeld Ralf , Boerries Melanie , Wolter Steffen , Ball Markus , Neumann Olaf , Armeanu-Ebinger Sorin , Schroeder Christopher , Matysiak Uta , Goldschmid Hannah , Schipperges Vincent , Fürstberger Axel , Allgäuer Michael , Eberhardt Timo , Niewöhner Jakob , Blaumeiser Andreas , Ploeger Carolin , Haack Tobias Bernd , Tay Timothy Kwang Yong , Kelemen Olga , Pauli Thomas , Kirchner Martina , Kluck Klaus , Ott Alexander , Renner Marcus , Admard Jakob , Gschwind Axel , Lassmann Silke , Kestler Hans , Fend Falko , Illert Anna Lena , Werner Martin , Möller Peter , Seufferlein Thomas Theodor Werner , Malek Nisar , Schirmacher Peter , Fröhling Stefan , Kazdal Daniel , Budczies Jan , Stenzinger Albrecht 
Published: October 2023

AbstractA growing number of druggable targets and national initiatives for precision oncology necessitate broad genomic profiling for many cancer patients. Whole exome sequencing (WES) offers unbiased analysis of the entire coding sequence, segmentation-based detection of copy number alterations (CNAs), and accurate determination of complex biomarkers including tumor mutational burden (TMB), homologous recombination repair deficiency (HRD), and microsatellite instability (MSI). To assess the inter-institution variability of clinical WES, we performed a comparative pilot study between German Centers of Personalized Medicine (ZPMs) from five participating institutions. Tumor and matched normal DNA from 30 patients were analyzed using custom sequencing protocols and bioinformatic pipelines. Calling of somatic variants was highly concordant with a positive percentage agreement (PPA) between 91 and 95% and a positive predictive value (PPV) between 82 and 95% compared with a three-institution consensus and full agreement for 16 of 17 druggable targets. Explanations for deviations included low VAF or coverage, differing annotations, and different filter protocols. CNAs showed overall agreement in 76% for the genomic sequence with high wet-lab variability. Complex biomarkers correlated strongly between institutions (HRD: 0.79–1, TMB: 0.97–0.99) and all institutions agreed on microsatellite instability. This study will contribute to the development of quality control frameworks for comprehensive genomic profiling and sheds light onto parameters that require stringent standardization.
On-surface synthesis of nitrogen-doped nanographene with an [18]annulene pore on Ag(111)
Authors: Sun Kewei , Li Donglin , Kaihara Takahito , Minakata Satoshi , Takeda Youhei , Kawai Shigeki 
Published: October 2023

AbstractOn-surface synthesis is of importance to fabricate low dimensional carbon-based nanomaterials with atomic precision. Here, we synthesize nitrogen-doped nanographene with an [18]annulene pore and its dimer through sequential reactions of debromination, aryl–aryl coupling, cyclodehydrogenation and C–N coupling on Ag(111) from 3,12-dibromo-7,8-diaza[5]helicene. The inner structures of the products were characterized with scanning tunneling microscopy with a CO terminated tip at low temperature. Furthermore, the first four unoccupied electronic states of the nanographene were investigated with a combination of scanning tunneling spectroscopy and theoretical calculations. Except for the LUMO + 2 state observed at +1.3 V, the electronic states at 500 mV, 750 mV and 1.9 V were attributed to the superatom molecular orbitals at the [18]annulene pore, which were significantly shifted towards the Fermi level due to the hybridization with the confined surface state.
Synthesis, structure anatomy, and catalytic properties of Ag14Cu2 nanoclusters co-protected by alkynyl and phosphine ligands
Authors: Shen Quanli , Cong Xuzi , Chen Leyi , Wang Lei , Liu Yonggang , Wang Likai , Tang Zhenghua 
Published: October 2023

We report the synthesis and structure anatomy of a novel alkynyl-protected Ag14Cu2 nanocluster, which demonstrated excellent catalytic performance toward CO2 electroreduction and reduction of 4-nitrophenol.
Polyphenol‐mediated construction of highly stable and bioactive selenium nanoparticles
Authors: Hu Rong , Wang Xiao , Han Lu , Lu Xiong 
Published: October 2023

AbstractSelenium (Se), a well‐known essential element in human health, plays a vital role in regulating metabolism owing to its antioxidative nature. However, organic Se compounds are toxic and cannot be used for biomedical applications. Selenium nanoparticles (SeNPs) exhibit low biological toxicity and high bioavailability; however, they are prone to aggregation and are extremely unstable, thereby diminishing their bioactivity and bioavailability. To overcome these limitations, ultra‐small, highly stable, and bioactive SeNPs were synthesised based on an in‐situ hybridisation strategy by using polyphenol‐grafted‐chitosan (GA‐CS) to control and restrict crystal growth of Se nanoparticles. The resultant GA‐CS@nSe exhibited an average particle size of ∼30 nm and was highly stable in aqueous solutions. In addition, GA‐CS@nSe displayed improved biocompatibility and enhanced antioxidative activity. Taken together, the authors provide a basis for polyphenol‐mediated construction of Se‐based particles with increased bioactivity.
Electromagnetic transient suppression for thyristor switch‐based auto‐passing neutral section system
Authors: Liran Wu , Mingli Wu , Qiujiang Liu , Jianqiang Liu 
Published: October 2023

AbstractThe auto‐passing neutral section (ANS), applied in the traction substation or section post (SP), is one of the effective methods to improve the continuity of power supply, and the electromagnetic transient is the key issue impacting its application value. An equivalent switching circuit is established to reveal the causes of the electromagnetic transient. The suppression methods for reducing transient overvoltage and inrush current are proposed, adopting an improved RLC filter to suppress the transient overvoltage with low active power loss, and a switching strategy to minimize magnetic flux variation. The correctness of the proposed methods has been confirmed by simulation and experimental results, which can improve the transient performance and increase the practicality of the ANS.
Integration of hybrid renewable energy sources with the power system considering their economic complementarity
Authors: Dehghani Farnam , Shafiyi Mohammad Agha 
Published: October 2023

AbstractRenewable energy sources play an important role in providing clean energy for future electricity networks. As the penetration level of these resources grows, their integration with the grid will be more challenging. Each renewable energy source has different inherent characteristics that, if appropriately used in the generation mix, could complement each other and create many technical and economic benefits for the power system. Usually, renewable energy resource complementarity studies are carried out with the objectives of smooth effect, reducing the need for storage and load tracking. In this study, the economic complementarity approach is introduced with the help of a Mixed integer nonlinear programming (MINLP) model. This approach can integrate renewable and storage energy sources with the grid and determine the optimal capacity of these resources in complementary used mode. The results show that the proposed method always imposes the system's lowest annual operation and investment costs.