bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between clinical factors and orofacial dyskinesias in anti‐N‐methyl‐D‐aspartate receptor encephalitis
Authors: Hang Hailun , Lin Liuyu , Li Danhui , Li Jin , Shi Jingping , Lu Jie 
Published: May 2022

AbstractBackground and PurposeWe aimed to determine whether demographic information, clinical characteristics, laboratory tests, and imaging features are associated with orofacial dyskinesias (OFLD) in patients with anti‐N‐methyl‐D‐aspartate receptor (NMDAR) encephalitis.MethodsIn this retrospective study, patients who were diagnosed with anti‐NMDAR encephalitis were enrolled. All patients’ factors, including demographic information, clinical characteristics, laboratory tests, and imaging features, were obtained at the time of hospitalization. The neurological function was assessed using the modified Rankin scale (mRS). Univariate and multivariate logistic regressions were used to examine the associations between clinical factors and OFLD.ResultsIn total, 119 patients (median age: 28.0 [19.0–41.0] years; 67 females) were recruited. Of 119 patients, 44 (37.0%) had OFLD. OFLD was associated with increased mRS at admission, serum sodium, lumbar puncture pressure, female biologic sex, fever, psychiatric symptoms, seizures, impaired consciousness, autonomic dysfunction, and central hypoventilation in univariate logistic regression, respectively. Multivariate regression analysis revealed that female biologic sex (odds ratios [OR], 4.73; 95% confidence interval [CI], 1.27–17.64; p = .021), increased mRS at admission (OR, 2.09; 95% CI, 1.18–3.71; p = .011), psychiatric symptoms (OR, 7.27; 95% CI, 1.20–43.91; p = .031), and seizures (OR, 5.11; 95% CI, 1.22–21.43; p = .026) were associated with OFLD, after adjusting for confounding factors.ConclusionsOur analysis suggests that the following clinical factors are associated with OFLD: female biologic sex, increased mRS at admission, psychiatric symptoms, and seizures.
Investigating the possibility of using second‐life batteries for grid applications
Authors: Rahil Abdulla , Partenie Eduard , Bowkett Mark , Nazir Mian H. , Hussain Muhammad M. 
Published: May 2022

AbstractThis paper investigates the potential for use of batteries from retired plug‐in hybrid electric vehicles (PHEVs) in specific grid applications. In this study, project, a reference capacity test was performed to check the state of health, state of charge (SOC) and battery durability of a PHEV battery, and the pack was then tested under duty cycles for different grid applications to determine whether it would satisfy such applications in technical terms. The duty cycles considered are peak shaving, frequency regulation, photovoltaic (PV) smoothing and renewable energy firming. The data show that the battery can satisfactorily fulfil the requirements of peak shaving applications in terms of stability and battery retention capacity, and that the requirements of the frequency regulation service are also partially met. The untracked time for the battery signal was 4% (slightly exceeding the condition set for passing the tracking test, which is 2%). The SOC and temperature were within permitted limits. The battery, however, did not achieve good performance for PV smoothing or renewable energy (RE) firming. The untracked times were 14% and 11% for PV smoothing and RE firming, respectively (greatly exceeding the 2% condition for passing the tracking test). The SOC and temperature for the PV smoothing were within acceptable limits. The pack failed to complete the RE firming cycle as the SOC reached maximum safety limits after 6 h and 23 min, whereas the duty cycle is 10 h long.
Phase 2 results of lisocabtagene maraleucel in Japanese patients with relapsed/refractory aggressive B‐cell non‐Hodgkin lymphoma
Authors: Makita Shinichi , Yamamoto Go , Maruyama Dai , Asano‐Mori Yuki , Kaji Daisuke , Ananthakrishnan Revathi , Ogasawara Ken , Stepan Lara , Schusterbauer Claudia , Rettby Nils , Hasskarl Jens , Izutsu Koji 
Published: May 2022

AbstractThe autologous anti‐CD19 chimeric antigen receptor (CAR) T‐cell product, lisocabtagene maraleucel (liso‐cel), is administered at equal target doses of CD8+ and CD4+ CAR+ T cells. This analysis assessed safety and efficacy of liso‐cel in Japanese patients with relapsed or refractory (R/R) aggressive large B‐cell lymphoma (LBCL) in Cohort 3 of TRANSCEND WORLD (NCT03484702). Liso‐cel (100 × 106 total CAR+ T cells) was administered 2–7 days after lymphodepletion. The primary efficacy endpoint was objective response rate (ORR; Lugano 2014 criteria) assessed by an independent review committee. Fourteen patients were enrolled; 10 received liso‐cel infusion (median time to liso‐cel availability, 23 days) and were evaluable at data cutoff (median follow‐up, 12.5 months). Grade ≥ 3 treatment‐emergent adverse events were neutropenia (90%), leukopenia (80%), anemia (70%), and thrombocytopenia (70%). All‐grade cytokine release syndrome (CRS) was observed in 50% of patients, though no grade ≥3 CRS events were reported. Grade 1 neurological events occurred in 1 patient but were resolved without any intervention. Prolonged cytopenia (grade ≥ 3 at day 29) was reported for 60% of patients. The ORR was 70%, and complete response rate was 50%. The median duration of response was 9.1 months (95% confidence interval [CI], 2.1—not reached), and overall survival was 14.7 months (95% CI, 1.7—not reached). One patient diagnosed with central nervous system involvement after screening but before liso‐cel infusion, responded to liso‐cel. Liso‐cel demonstrated meaningful efficacy and a manageable safety profile in Japanese patients with R/R LBCL.
Someone like me: The role of consumer brand engagement and social identification in the perception of luxury brand users
Authors: Razmus Wiktor , Fortuna Paweł 
Published: May 2022

AbstractBased on social exchange theory and social identity theory, this article examined how displays of luxury—manipulated through the presence of luxury brand on clothes—affects consumers' perceptions. Through two experiments, we found that consumers with a high level of consumer brand engagement (CBE) assessed an individual with a visible logo of the brand, in which they were engaged, as higher in status, more intelligent and attractive. Moreover, we found a mechanism that explains this phenomenon. Identification with the brand user mediates these relationships, such that displays of luxury in individuals with high levels of CBE leads to identification with the brand user, which in turn enhances the perception of status, intelligence and attractiveness. These results indicate that luxury display may increase more positive person's perception among individuals who engage with the luxury brand. Summing up, our paper reveals that the phenomenon of luxury displays is not universal and should be treated not only in terms of an evolutionary adaptive strategy.
Anchored fallopian tube through the drain tube: A rare case report
Authors: Shrestha Prezma , Kunwar Asma , Rijal Yasoda , Aryal Susan , Adhikari Yagya Raj , Bhattarai Shiva Lal , Gautam Ashmita , Rawal Suniti 
Published: May 2022

AbstractAnchored fallopian tube through the drain tube is rare. We present a case of a 27‐year‐old female patient who underwent right salpingectomy with the fenestrated drain tube in the pelvic cavity. Postoperatively, the drain could not be removed. Laparotomy revealed the left fallopian tube entering through the fenestration of the drain tube.
Aluminum‐Containing Metal‐Organic Frameworks as Selective and Reusable Catalysts for Glucose Isomerization to Fructose
Authors: Rahaman Mohammad Shahinur , Tulaphol Sarttrawut , Hossain Anwar , Jasinski Jacek B. , Lalvani Shashi B. , Crocker Mark , Maihom Thana , Sathitsuksanoh Noppadon 
Published: May 2022

AbstractFructose is a versatile precursor for food and chemicals. Currently, catalytic production of fructose is achieved by enzymatic isomerization of glucose from renewable lignocellulose. Although the catalyst, glucose isomerase, is selective, it is not stable. Here, aluminum‐containing metal‐organic frameworks (Al‐MOFs) are shown to be active, selective, stable, and reusable for glucose isomerization in ethanol. Al‐MOFs achieved 64% fructose selectivity with 82% glucose conversion at 120 °C, superior performance compared with most other solid catalysts. The amino groups in Al‐MOFs enhance Lewis acid strength, which is responsible for the high fructose selectivity at high glucose conversion. Moreover, the Al‐MOF catalyst is stable and reusable at least four times without losing either activity or fructose selectivity. These findings illustrate compelling opportunities for Al‐MOFs in fructose production and other organic reactions, such as fructose conversion to 5‐hydroxymethylfurfural and levulinic acid.
Mechanical Bond Enhanced Lithium Halide Ion‐Pair Binding by Halogen Bonding Heteroditopic Rotaxanes**
Authors: Munasinghe Vihanga K. , Pancholi Jessica , Manawadu Dilhan , Zhang Zongyao , Beer Paul D. 
Published: May 2022

AbstractA family of novel halogen bonding (XB) and hydrogen bonding (HB) heteroditopic [2]rotaxane host systems constructed by active metal template (AMT) methodology, were studied for their ability to cooperatively recognise lithium halide (LiX) ion‐pairs. 1H NMR ion‐pair titration experiments in CD3CN:CDCl3 solvent mixtures revealed a notable “switch‐on“ of halide anion binding in the presence of a co‐bound lithium cation, with rotaxane hosts demonstrating selectivity for LiBr over LiI. The strength of halide binding was shown to greatly increase with increasing number of halogen bond donors integrated into the interlocked cavity, where an all‐XB rotaxane was found to be the most potent host for LiBr. DFT calculations corroborated these findings, determining the mode of LiX ion‐pair binding. Notably, ion‐pair binding was not observed with the corresponding XB/HB macrocycles alone, highlighting the cooperative, heteroditopic, rotaxane axle‐macrocycle component mechanical bond effect as an efficient strategy for ion‐pair recognition in general.
Fundamentals of secondary process aids in oil sands extraction
Authors: Manica Rogerio , Xiang Bailin , Bai Tianzi , Ashani Mahsa Nazemi , Li Jingqiao , Li Mingda , Zhang Zhiqing , Liu Qingxia 
Published: May 2022

AbstractThe application of sodium citrate (Na3Cit) as a secondary process aid (SPA) in combination with caustic (NaOH) was found to significantly improve the recovery and froth quality in oil sands extraction. Over the past several years, our group has been investigating the benefits of the combined application of Na3Cit and NaOH in oil sands extraction and the fundamental science involved. This review summarizes the recent developments and understandings based on experimental observations and theoretical analysis. Experimental techniques used to investigate different sub‐steps and the fundamental science involved in bitumen extraction are also discussed. Both the ideal system and the process water system are considered. Generally, the results show that the combined addition of Na3Cit and NaOH has a synergistic effect on enhancing the bitumen recovery, especially benefitting the bitumen liberation and coalescence, and preventing slime coating. The key fundamentals behind those benefits are Na3Cit chelating with metal cations in the extraction system and adsorbing on different interfaces. Therefore, the more negative zeta potential of bitumen, silica, clay, and air bubble was observed. The increased electrostatic repulsion and reduced adhesion are the main reasons for Na3Cit enhancing bitumen liberation. Through de‐activating the divalent cations in the bulk, Na3Cit eliminates slime coating and potentially helps bitumen droplets coalesce. Meanwhile, Na3Cit breaks asphaltene aggregates and lowers the interfacial tension of the bitumen/water interface by removing the metal‐bridge between surfaces‐active species contained in bitumen. The findings of this study provide a better understanding of the use of processing aids for the bitumen extraction process.
Hybrid smart model to determine concentration of acidic gases in absorption tower of sweetening process
Authors: Keshavarz Babaee Nejad Samira , Sayyad Amin Javad , Mohsenipour Ali Asghar , Zendehboudi Sohrab 
Published: May 2022

AbstractThe natural gases produced from underground reserves may contain sour gases such as H2S and CO2. If the amount of these gases is greater than the standard level, it will be harmful to humans and the environment. Hence, it appears important to accurately determine the concentration of H2S and CO2 in various equipment/units of a natural gas sweetening plant. In this study, a new connectionist approach is introduced to obtain the concentration of outlet acid gases of the sweetening tower of the South Pars gas refinery (in Iran), by utilizing a conventional connectionist tool optimized by an imperialist competitive algorithm (ICA). This ICA strategy is applied to optimize the weights, biases, and number of neurons of the artificial neural network (ANN) model. The input parameters in this modelling strategy include time, the amount of H2S in the output amine, the flow rate of input sour gas, the temperature of sea water for cooling, the mass flow rate of low‐pressure steam to the amine–amine heat exchanger, and the flow rate of input amine. The performance of the hybrid deterministic tool, ANN‐ICA, is compared with the ANN‐back propagation (BP) method. The coefficient of determination and mean squared error to forecast the concentration of output H2S are 0.8931 and 0.0125 for the ANN‐BP algorithm and 0.9057 and 0.0104 for the ANN‐ICA algorithm, respectively. These statistical values are 0.8428 and 0.0001 for the ANN‐BP model and 0.9307 and 0.000 05 for the ANN‐ICA model, respectively, while predicting output CO2 concentration. The results confirm that the ANN‐ICA is a more reliable approach, compared to ANN‐BP, to forecast the concentration of acidic gases leaving the absorption tower.
Biomass‐gas‐and‐nuclear‐to‐liquids (BGNTL) polygeneration process part II: Techno‐economic analysis
Authors: Glover Madison M. K. , Hoseinzade Leila , Adams Thomas A. 
Published: May 2022

AbstractIn this paper, new polygeneration processes co‐producing electricity, methanol, dimethyl ether (DME), and Fischer–Tropsch (FT) fuels from different feedstock ratios of biomass, natural gas, and nuclear hydrogen generated through a copper‐chlorine (CuCl) cycle are analyzed for operation in Canada to produce transportation fuels. This combination of carbonless heat and a ‘carbon neutral’ biomass feedstock would contribute to the net reduction in greenhouse gas (GHG) emissions. In Part I of this work, the model for this biomass‐gas‐and‐nuclear‐to‐liquids (BGNTL) process was developed. This work expands on it and evaluates the economic and environmental impacts this plant would have in both Ontario and Alberta based on their local costs and resource availability. The analysis demonstrates that an increase in the ratio of biomass to natural gas in feedstock reduces the emissions of the process but increases the cost of carbon dioxide equivalents (CO2e) avoided. The results show that the BGNTL concept can be an economically attractive way of reducing net transportation sector GHG emissions in both Ontario and Alberta in meaningful quantities.
Advanced Pyrrolidine‐Carbamate Self‐Immolative Spacer with Tertiary Amine Handle Induces Superfast Cyclative Drug Release
Authors: Dal Corso Alberto , Frigoli Margaux , Prevosti Martina , Mason Mattia , Bucci Raffaella , Belvisi Laura , Pignataro Luca , Gennari Cesare 
Published: May 2022

AbstractAmine‐carbamate self‐immolative (SI) spacers represent practical and versatile tools in targeted prodrugs, but their slow degradation mechanism limits drug activation at the site of disease. We engineered a pyrrolidine‐carbamate SI spacer with a tertiary amine handle which strongly accelerates the spacer cyclization to give a bicyclic urea and the free hydroxy groups of either cytotoxic (Camptothecin) or immunostimulatory (Resiquimod) drugs. In silico conformational analysis and pKa calculations suggest a plausible mechanism for the superior efficacy of the advanced SI spacer compared to state‐of‐art analogues.
Modulating p‐Orbital of Bismuth Nanosheet by Nickel Doping for Electrocatalytic Carbon Dioxide Reduction Reaction
Authors: Wei Helei , Tan Aidong , Xiang Zhipeng , Zhang Jie , Piao Jinhua , Liang Zhenxing , Wan Kai , Fu Zhiyong 
Published: May 2022

AbstractElectrochemical reduction of CO2 (CO2RR) to value‐added chemicals is an effective way to harvest renewable energy and utilize carbon dioxide. However, the electrocatalysts for CO2RR suffer from insufficient activity and selectivity due to the limitation of CO2 activation. In this work, a Ni‐doped Bi nanosheet (Ni@Bi‐NS) electrocatalyst is synthesized for the electrochemical reduction of CO2 to HCOOH. Physicochemical characterization methods are extensively used to investigate the composition and structure of the materials. Electrochemical results reveal that for the production of HCOOH, the obtained Ni@Bi‐NS exhibits an equivalent current density of 51.12 mA cm−2 at −1.10 V, which is much higher than the pure Bi‐NS (18.00 mA cm−2 at −1.10 V). A high Faradaic efficiency over 92.0 % for HCOOH is achieved in a wide potential range from −0.80 to −1.10 V, and particularly, the highest efficiency of 98.4 % is achieved at −0.90 V. Both experimental and theoretical results reveal that the superior activity and selectivity are attributed to the doping effect of Ni on the Bi nanosheet. The density functional theory calculation reveals that upon doping, the charge is transferred from Ni to the adjacent Bi atoms, which shifts the p‐orbital electronic density states towards the Fermi level. The resultant strong orbital hybridization between Bi and the π* orbitals of CO2 facilitates the formation of *OCHO intermediates and favors its activation. This work provides an effective strategy to develop active and selective electrocatalysts for CO2RR by modulating the electronic density state.
Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes
Authors: Rohde Elizabeth , Pearce Nolan J. T. , Young Joelle , Xenopoulos Marguerite A. 
Published: May 2022

AbstractLakes are dynamic ecosystems that can transition among stable states. Since ecosystem‐scale transitions can be detrimental and difficult to reverse, being able to predict impending critical transitions in state variables has become a major area of research. However, not all transitions are detrimental, and there is considerable interest in better evaluating the success of management interventions to support adaptive management strategies. Here, we retrospectively evaluated the agreement between time series statistics (i.e., standard deviation, autocorrelation, skewness, and kurtosis—also known as early warning indicators) and breakpoints in state variables in a lake (Lake Simcoe, Ontario, Canada) that has improved from a state of eutrophication. Long‐term (1980 to 2019) monitoring data collected fortnightly throughout the ice‐free season were used to evaluate historical changes in 15 state variables (e.g., dissolved organic carbon, phosphorus, chlorophylla) and multivariate‐derived time series at three monitoring stations (shallow, middepth, deep) in Lake Simcoe. Time series results from the two deep‐water stations indicate that over this period Lake Simcoe transitioned from an algal‐dominated state toward a state with increased water clarity (i.e., Secchi disk depth) and silica and lower nutrient and chlorophyllaconcentrations, which coincided with both substantial management intervention and the establishment of invasive species (e.g.,Dreissenidmussels). Consistent with improvement, Secchi depth at the deep‐water stations demonstrated expected trends in statistical indicators prior to identified breakpoints, whereas total phosphorus and chlorophyllarevealed more nuanced patterns. Overall, state variables were largely found to yield inconsistent trends in statistical indicators, so many breakpoints were likely not reflective of traditional bifurcation critical transitions. Nevertheless, statistical indicators of state variable time series may be a valuable tool for the adaptive management and long‐term monitoring of lake ecosystems, but we call for more research within the domain of early warning indicators to establish a better understanding of state variable behavior prior to lake changes.
Deterministic and probabilistic analysis of different empirical models to estimate monthly mean diffuse solar radiation for composite climatic region of India
Authors: Singh Deepak Kumar , Akella Ashok Kumar , Manna Saibal 
Published: May 2022

AbstractThis research compares the performance of the models to estimate monthly mean diffuse solar radiation (DSR) on a horizontal surface for composite climatic region of India. The goal is to identify the most accurate model using deterministic and probabilistic analysis through two levels of uncertainty in daily sunshine period to examine the accuracy of the model that will be used to estimate DSR in the region under consideration. The meteorological data were collected from Indian Meteorological Department for the city of New Delhi (28°34′N, 77°12′E) which comes under composite climatic region prescribed by the Energy Conservation Building Code for India. From the literature, 150 typical models were chosen and categorized into three categories correlating diffuse fraction to sky‐clearness index and relative sunshine period. The models are statistically evaluated using well‐known statistical indicators in a unique way. In addition, the global performance indicator (GPI) is calculated using scaled values of indicators. The GPI of the chosen models ranged from −2.2912 to 0.2584, with the greatest value indicating the best model. Following that, the models are then ranked in decreasing order of GPI. Finally, the performances of the models are also checked for different locations having similar climatic conditions. Thus, results of this work are useful for impoverished countries as well as remote areas having similar environment conditions.
Review on the application of green and environmentally benign biowaste and natural substances in the synthesis of lithium‐ion batteries
Authors: Tran Ngo , Ta Qui T. H. , Tran Vinh Van 
Published: May 2022

SummaryEnvironmental pollution and global warming have propelled the research activities toward the substitution of toxic materials with environmentally acceptable components in various spheres. Lithium‐ion battery (LIB) is exorbitantly used in different electronic devices in the present era and thus generates huge toxic electronic waste, which has become a global concern. Different approaches have been put forward to replace the commonly used materials for the fabrication of LIBs with processed biomass. This review discusses the significance and application of different biomass for fabricating electrodes and binders for LIBs. The electrochemical properties of the developed LIBs have also been discussed in detail. In addition, the required improvements have been put forth, so that biomass can be extensively used in future LIB to reduce the amount of generated toxic electronic wastes.Highlights
Application of biowaste for the synthesis of Li‐ion battery.
Morphology of the synthesized materials.
Electrochemical properties of the synthesized materials.
Efficiency of the natural products as components in Li‐ion batteries.
The environmental safety of the materials as LIB components