bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the dietary supplementation of autochthonous bacteria on growth, survival and resistance to Aeromonas veronii challenge in Clarias batrachus and Heteropneustes fossilis
Authors: Paul Sagar , Farjana Kaniz , Mahamud A.G.M.Sofi Uddin , Mondal Debashis Kumar , Tabassum Tamanna , Khoiam Md. Umor , Ahmed Fee Faysal , Rahman Tanvir 
Published: August 2022

AbstractThe study focused on identifying autochthonous bacteria from the indigenous catfish intestine and evaluating their impacts on survival, growth and against Aeromonas veronii infection in Clarias batrachus and Heteropneustes fossilis under laboratory conditions. Candidate bacteria were isolated using Nutrient Agar (NA) and de Man, Rogosa and Sharpe (MRS) agar in duplicate. An immersion technique was employed to determine the biosafety of these isolates in both catfish species at a dose of 107 CFU/mL. Three experimental diets: D1 (basal diet + putative Bacillus sp., 108–109 CFU/g), D2 (basal diet + 3% BioFav Aqua) and D3 (basal diet + putative Lactobacillus sp., 108–109 CFU/g) were prepared to conduct a 4‐week long feeding trial, whereas the control diet received no probiotic supplementation. The probiotic performance was analysed by comparing the growth performance and survival of C. batrachus and H. fossilis. Resistance against Aeromonas veronii infection was determined by a challenge test of catfish. Initially, 16 autochthonous isolates were collected, and among them, an isolate from C. batrachus intestine and another from the gut of H. fossilis were selected for further studies. A series of biochemical analyses identified that the putative bacteria were Bacillus sp. and Lactobacillus sp., respectively. The biosafety test showed no clinical signs of infection or mortality among experimental catfishes. All probiotic‐treated fish showed higher growth increments than control. Incorporation of Bacillus sp. and Lactobacillus sp. in the basal diet significantly (p < 0.05) improved growth and survival in both catfish, where Bacillus sp. showed the best effects in C. batrachus, and Lactobacillus sp. in H. fossilis. Intramuscular (IM) injection with A. veronii revealed that probiotic‐treated fish had better survival rates. The study demonstrated the potentiality of autochthonous bacteria to enhance growth, survival, feed efficiency and immunity and hence recommended as a better health management approach in catfish aquaculture.
Combining molybdenum carbide with ceria overlayers to boost Mo/CeO2 catalyzed ammonia synthesis
Authors: Fang Biyun , Zhang Chuanfeng , Qi Zeliang , Li Chunyan , Ni Jun , Wang Xiuyun , Lin Jianxin , Au Chak‐Tong , Lin Bingyu , Jiang Lilong 
Published: August 2022

AbstractThe design of an efficient non‐noble metal catalyst is of burgeoning interest for ammonia synthesis. Herein, we report a Mo2C/CeO2 catalyst that is superior in ammonia synthesis activity. In this catalyst, molybdenum carbide coexisted with the ceria overlayers which is from the ceria support as the strong metal–support interaction. There is a high proportion of low‐valent Mo species, as well as high concentration of Ce3+ and surface oxygen species. The presence of Mo2C and CeO2 overlayers not only leads to enhancement of hydrogen and nitrogen adsorption, but also facilitates the desorption and exchange of adsorbed species with the gaseous reagents. Compared with the Mo/CeO2 catalyst prepared without carbonization, the Mo2C/CeO2 catalyst is more than sevenfold higher in ammonia synthesis rate. This work not only presents an explicit example of designing Mo‐based catalyst that is highly efficient for ammonia synthesis by tuning the adsorption and desorption properties of the reactant gases, but opens a perspective for other elements in ammonia synthesis.
Sensor selection and tool wear prediction with data‐driven models for precision machining
Authors: Han Seulki , Yang Qian , Pattipati Krishna R. , Bollas George M. 
Published: August 2022

AbstractEstimation of tool wear in precision machining is vital in the traditional subtractive machining industry to reduce processing cost, improve manufacturing efficiency and product quality. In this vein, fusion of time and frequency‐domain features of commonly sensed signals can provide an early indication of tool wear and improve its prediction accuracy for prognostics and health management. This paper presents a data‐driven methodology and a complete tool chain for the inference of precision machining tool wear from fused machine measurements, such as cutting force, power, audio and vibration signals, and quantify the usefulness of each measurement. Indicators of tool wear are extracted from time‐domain signal statistics, frequency‐domain analysis, and time‐frequency domain analysis. Correlation coefficients between the extracted features (indicators) and the tool wear are used to select the most informative features. Principal Component Analysis and Partial Least‐Squares are used to reduce the dimensionality of the feature space. Regression models, including linear regression, support vector regression, Decision tree regression, neural network regression and Gaussian process regression, are used to predict the tool wear using data from a Haas milling machine performing spiral boss face milling. The performance of the regression models based on subsets of sensors validates the preliminary estimates about the saliency of the sensors. The experimental results show that the proposed methods can predict the machine tool wear precisely, with readily available sensor measurements. Neural network and Gaussian process regression were able to achieve good estimates of tool wear at different machine operating conditions. The most informative signal in predicting tool wear was shown to be the vibration signal. Time‐frequency domain features were the most informative features among the combination of features of three domains. In addition, using partial least squares components extracted from the original features of signals led to higher prediction accuracy.
Enhanced thermal stability and impact strength of phenolic formaldehyde resin using acid‐treated basalt scales
Authors: Li Yan‐Chun , Tang Kai‐Jun , Jin Fan‐Long , Park Soo‐Jin 
Published: August 2022

AbstractIn this study, phenolic formaldehyde (PF) resin‐based composites were prepared using basalt scale (BS) as a reinforcing agent via a melting‐blending method. The BS surface was treated with hydrochloric acid, and the surface properties were characterized using thermal field‐emission scanning electron microscopy, Fourier‐transform infrared, X‐ray photoelectron spectrometry, and energy‐dispersive X‐ray spectroscopy. Moreover, the influence of acid‐treated BS (H‐BS) content on the thermal properties, flexural properties, impact strength, and morphology of PF/H‐BS composites was investigated. The thermal stability and glass transition temperature of the composites increased significantly with the increasing H‐BS content. The impact strength tests indicated that the impact strength of the composite with 15 wt% H‐BS was 0.66 kJ/m2, which is 153% higher than that of pristine PF. The scanning electron microscopy results indicated that the PF/H‐BS composites exhibit rough morphology with numerous microcracks.
Lifetime‐Based Responsive Probes: Design and Applications in Biological Analysis
Authors: Jia Hui , Liu Yiheng , Hu Jing‐Jing , Li Guogang , Lou Xiaoding , Xia Fan 
Published: August 2022

AbstractWith the development of modern biomedicine, biological analysis and detection are very important in disease diagnosis, detection of curative effect, prognosis and prediction of tumor recurrence. Compared with the currently widely used optical probes based on intensity signals, the lifetime signal does not depend on the influence of conditions such as the concentration of luminophore, tissue penetration depth and measurement method. Therefore, biological detection methods based on lifetime‐based responsive probes have attracted great attention from the scientific community. Here, we briefly review the key advances in lifetime‐based responsive probes in recent years (2017–2022). The review focuses on the design strategies of lifetime‐based responsive probes and the research progress of their applications in the field of bioanalysis, and discusses the challenges they face. We hope it will further promote the development of lifetime‐based responsive probes in the field of bioanalysis.
UHPLC–MS/MS‐based method for quantification of verinurad in rat plasma and its application in a bioavailability study
Authors: Guo Ziyu , Yuan Wenjing , Zhu Xinru , Jiang Zhenzhou , Zhang Zunjian , Huang Xin 
Published: August 2022

AbstractA rapid and sensitive UHPLC–MS/MS method was developed and fully validated for the quantification of verinurad in rat plasma. Lesinurad was used as an internal standard (IS), and simple protein precipitation was utilized to prepare the analytes from the matrix. Chromatographic separation was carried out on a Zorbax SB C18 column. The mobile phase consisted of water with 0.1% formic acid (A) and acetonitrile with 0.1% formic acid (B) at a flow rate of 0.3 mL/min. The short run time of 4 min made it possible to analyze more than 300 samples per day. The ion transitions were quantified in negative mode with multiple reaction monitoring (MRM) transitions of 347.1 → 261.1 for verinurad and 404.2 → 178.9 for the IS. The validated linear ranges of verinurad were 10–5000 ng/mL in rat plasma. The validated UHPLC–MS/MS method was further applied to the pharmacokinetic study of verinurad in rat plasma after intragastric (2 mg/kg) and intravenous (1 mg/kg) administrations. The pharmacokinetic study revealed that verinurad showed high clearance and high bioavailability (78.1%). To the best of our knowledge, this is the first report of the bioavailability study of verinurad.
Cyclopeptide Alkaloids from Discaria chacaye (Rhamnaceae) as Result of Symbiosis with Frankia (Actinomycetales)
Authors: Quiroz‐Carreño Soledad , Muñoz‐Nuñez Evelyn , Silva Fabiana L. , Devotto‐Moreno Luis , Seigler David S. , Pastene‐Navarrete Edgar , Cespedes‐Acuña Carlos L. , Alarcon‐Enos Julio 
Published: August 2022

AbstractCyclopeptide alkaloids with different biological activities are present in plants of the family Rhamnaceae. Plants of this family grow in a symbiotic relationship with aerobic Gram‐positive actinomycetes belonging to the genus Frankia. This goal of this research was a study of the comparative profile of alkaloids present in Discaria chacaye and to establish a connection between the presence or absence of Frankia sp. and the alkaloids. In addition, insecticidal activities of the alkaloidal extract were examined. A total of 24 alkaloids were identified, of which 12 have a benzylisoquinoline skeleton, 9 were cyclopeptides, 2 isoquinolines, and 1 aporphine. The presence of cyclopeptide alkaloids is associated with Frankia nodules in the plant root. The alkaloid extracts showed insecticidal activity with mortality dose‐dependence and LD50 values between 44 to 71 μg/mL.
Microstructural evolution of amorphous self‐healing geopolymer composites containing alumina and glass frit
Authors: Keane Patrick , Jacob Rhys , Belusko Martin , Kriven Waltraud M. , Stanford Nikki , Bruno Frank 
Published: August 2022

AbstractGeopolymer refers to a large group of nanoporous, nanoparticulate materials that are synthesized by dissolution and polycondensation of aluminosilicates in basic solutions and can be made from a variety of starting materials, such as industrial waste ash, volcanic rock, or calcined clay. Geopolymers are X‐ray amorphous, corrosion resistant, refractory, and made at ambient temperature and pressure similar to cements. In this study, potassium metakaolin‐based geopolymer (KGP) composites containing alumina platelets and glass frit were fabricated, and the impact of heating temperature, dwell time, and heating/cooling rate on the microstructure was studied. The composites, heat treated up to 900°C for up to 20 h using heating/cooling rates of up to 1°C/min, showed that the addition of alumina platelets prevented major microcracking and was also able to reduce linear shrinkage. Glass frit has been shown to heal microcracks formed during KGP dehydration and crystallization. The resulting material had an open porosity of less than 1% and a uniform surface glaze of 250 μm thickness, while Oswald ripening of round closed pores occurred due to the migration of molten glass in the system.
Terminal N2 Dissociation in [(PNN)Fe(N2)]2(μ‐N2) Leads to Local Spin‐State Changes and Augmented Bridging N2 Activation
Authors: Regenauer Nicolas I. , Wadepohl Hubert , Roşca Dragoş‐Adrian 
Published: August 2022

AbstractNitrogen fixation at iron centres is a fundamental catalytic step for N2 utilisation, relevant to biological (nitrogenase) and industrial (Haber‐Bosch) processes. This step is coupled with important electronic structure changes which are currently poorly understood. We show here for the first time that terminal dinitrogen dissociation from iron complexes that coordinate N2 in a terminal and bridging fashion leaves the Fe‐N2‐Fe unit intact but significantly enhances the degree of N2 activation (Δν≈180 cm−1, Raman spectroscopy) through charge redistribution. The transformation proceeds with local spin state change at the iron centre (S=
→S=3/2). Further dissociation of the bridging N2 can be induced under thermolytic conditions, triggering a disproportionation reaction, from which the tetrahedral (PNN)2Fe could be isolated. This work shows that dinitrogen activation can be induced in the absence of external chemical stimuli such as reducing agents or Lewis acids.
Mental health disorders are more common in patients with Hodgkin lymphoma and may negatively impact overall survival
Authors: Tao Randa , Chen Yuji , Kim Seungmin , Ocier Krista , Lloyd Shane , Poppe Matthew M. , Lee Catherine J. , Glenn Martha J. , Smith Ken R. , Fraser Alison , Deshmukh Vikrant , Newman Michael G. , Snyder John , Rowe Kerry G. , Gaffney David K. , Haaland Ben , Hashibe Mia 
Published: August 2022

BackgroundLong‐term mental health outcomes were characterized in patients who were diagnosed with Hodgkin lymphoma (HL), and risk factors for the development of mental health disorders were identified.MethodsPatients who were diagnosed with HL between 1997 and 2014 were identified in the Utah Cancer Registry. Each patient was matched with up to five individuals from a general population cohort identified within the Utah Population Database, a unique source of linked records that includes patient and demographic data.ResultsIn total, 795 patients who had HL were matched with 3575 individuals from the general population. Compared with the general population, patients who had HL had a higher risk of any mental health diagnosis (hazard ratio, 1.77; 95% confidence interval, 1.57–2.00). Patients with HL had higher risks of anxiety, depression, substance‐related disorders, and suicide and intentional self‐inflicted injuries compared with the general population. The main risk factor associated with an increased risk of being diagnosed with mental health disorders was undergoing hematopoietic stem cell transplantation, with a hazard ratio of 2.06 (95% confidence interval, 1.53–2.76). The diagnosis of any mental health disorder among patients with HL was associated with a detrimental impact on overall survival; the 10‐year overall survival rate was 70% in patients who had a mental health diagnosis compared with 86% in those patients without a mental health diagnosis (p < .0001).ConclusionsPatients who had HL had an increased risk of various mental health disorders compared with a matched general population. The current data illustrate the importance of attention to mental health in HL survivorship, particularly for patients who undergo therapy with hematopoietic stem cell transplantation.
Neighborhood rough set based multi‐label feature selection with label correlation
Authors: Wu Yilin , Liu Jinghua , Yu Xiehua , Lin Yaojin , Li Shaozi 
Published: August 2022

SummaryNeighborhood rough set (NRS) is considered as an effective tool for feature selection and has been widely used in processing high‐dimensional data. However, most of the existing methods are difficult to deal with multi‐label data and are lack of considering label correlation (LC), which is an important issue in multi‐label learning. Therefore, in this article, we introduce a new NRS model with considering LC. First, we explore LC by calculating the similarity relation between labels and divide the related labels into several label subsets. Then, a new neighborhood relation is proposed, which can solve the problem of neighborhood granularity selection by using the nearest neighbor information distribution of instances under the related labels. On this basis, the NRS model is reconstructed by embedding LC information, and the related properties of the model are discussed. Moreover, we design a new feature significance function to evaluate the quality of features, which can well capture the specific relationship between features and labels. Finally, a greedy forward feature selection algorithm is designed. Extensive experiments which are conducted on different types of datasets verify the effectiveness of the proposed algorithm.
Sea lion attacking‐based deer hunting optimization algorithm for dynamic nurse scheduling in health care sector contribution of hybrid algorithm in cloud
Authors: Sarkar Paramita , Aryan Ayush , Chaki Rituparna 
Published: August 2022

SummaryThe main intent of this article is to frame the dynamic NSP in the cloud using a multi‐objective optimization strategy. The benefit of the dynamic scheduling over static scheduling is that the scheduling will be done week by week based on the available number of nurses. For solving this problem, several constraints like single assignment per day, under‐staffing, shift type successions, consecutive assignments, consecutive resting days, and complete week‐end are considered. With reference to these constraints, a minimized objective function is used based on the nurse demand in week by week. Each constraint is having some conditions for solving this problem. These schedules are stored in cloud for efficient decision making regarding NSP and it helps in assisting the future scheduling purposes. It also offers secure storage when compared to the other storage devices. As a novelty, this article tries to employ the hybrid meta‐heuristic algorithm called sea lion attacking‐based deer hunting optimization algorithm. Hybrid optimization algorithms have been reported to be promising for certain search problems with a higher convergence rate. Hence, the developed hybrid optimization algorithm hardly helps to generate a feasible and near‐optimal schedule at the end of the horizon.
Coherent Intramolecular Excimer Formation in Solid [2,2]‐Paracyclophane: Time‐Resolved Springing of a Molecular “Trap”
Authors: Haggag Omer S. , Levinsky Noam , Ruhman Sanford 
Published: August 2022

AbstractImpulsive UV excitation unleashes violent wave packet motions in [2,2]‐paracyclophane (2PC) due to relief of ground state inter‐ring repulsion. Contrary to theoretical predictions for the benzene excimer, transient absorption spectroscopy in oriented single crystals and in liquid THF demonstrates that excited 2PC absorbs visible light polarized along all three molecular axes. Absorption polarized perpendicular to the aromatic rings is deeply modulated in time by the ∼0.5 Å of light induced inter‐ring breathing providing changes in potential energy gaps and dipole strengths during coherent intramolecular excimer formation. Overlapping transitions to several higher electronic states and strong non‐Condon effects contribute to the modulating spectra. These insights prove current understanding of the simplest archetypal organic excimer is fundamentally flawed and provide the basis for testing improved electronic structure models. It is hard to overestimate the significance of achieving such improved understanding given the impact of excimers and exciplexes on all aspects of organic molecular photophysics.
A single‐switch high step‐up Zero Current Switching DC‐DC converter based on three‐winding coupled inductor and voltage multiplier cells with quasi resonant operation
Authors: Abbasian Sohrab , Farsijani Mohammad 
Published: August 2022

AbstractThis paper presents a nonisolated high step‐up soft switching DC/DC converter with continuous input and output energy, low input current ripple, and low voltage stress of semiconductors. In this topology, passive clamping circuits are used not only to recycle leakage energy but also to successfully alleviate voltage spikes on the active MOSFET. The leakage inductor, on the other hand, solves the output diode's reverse recovery problem effectively. Furthermore, output capacitors are connected in series to supply the output load, resulting in a smaller output capacitor volume. The suggested topology's operational theory, as well as steady‐state analyses, is thoroughly explored. The proposed topology's voltage gain and switch stress are then compared with that of some high‐gain topologies. After this, a prototype circuit with a 20 V input voltage, 340 V output voltage, and 200 W output power is designed to test the proposed topology's accuracy.
P301S‐hTau acetylates KEAP1 to trigger synaptic toxicity via inhibiting NRF2/ARE pathway: A novel mechanism underlying hTau‐induced synaptic toxicities
Authors: Xie Jia‐Zhao , Zhang Yao , Li Shi‐Hong , Wei Hui , Yu Hui‐Ling , Zhou Qiu‐Zhi , Wei Lin‐Yu , Ke Dan , Wang Qun , Yang Ying , Wang Jian‐Zhi 
Published: August 2022

AbstractBackgroundHuman Tau (hTau) accumulation and synapse loss are two pathological hallmarks of tauopathies. However, whether and how hTau exerts toxic effects on synapses remain elusive.MethodsMutated hTau (P301S) was overexpressed in the N2a cell line, primary hippocampal neurons and hippocampal CA3. Western blotting and quantitative polymerase chain reaction were applied to examine the protein and mRNA levels of synaptic proteins. The protein interaction was tested by co‐immunoprecipitation and proximity ligation assays. Memory and emotion status were evaluated by a series of behavioural tests. The transcriptional activity of nuclear factor‐erythroid 2–related factor 2 (NRF2) was detected by dual luciferase reporter assay. Electrophoresis mobility shift assay and chromosome immunoprecipitation were conducted to examine the combination of NRF2 to specific anti‐oxidative response element (ARE) sequences. Neuronal morphology was analysed after Golgi staining.ResultsOverexpressing P301S decreased the protein levels of post‐synaptic density protein 93 (PSD93), PSD95 and synapsin 1 (SYN1). Simultaneously, NRF2 was decreased, whereas Kelch‐like ECH‐associated protein 1 (KEAP1) was elevated. Further, we found that NRF2 could bind to the specific AREs of DLG2, DLG4 and SYN1 genes, which encode PSD93, PSD95 and SYN1, respectively, to promote their expression. Overexpressing NRF2 ameliorated P301S‐reduced synaptic proteins and synapse. By means of acetylation at K312, P301S increased the protein level of KEAP1 via inhibiting KEAP1 degradation from ubiquitin–proteasome pathway, thereby decreasing NRF2 and reducing synapse. Blocking the P301S–KEAP1 interaction at K312 rescued the P301S‐suppressed expression of synaptic proteins and memory deficits with anxiety efficiently.ConclusionsP301S‐hTau could acetylate KEAP1 to trigger synaptic toxicity via inhibiting the NRF2/ARE pathway. These findings provide a novel and potential target for the therapeutic intervention of tauopathies.