bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photonic Nanojet‐Mediated Optogenetics
Authors: Guo Jinghui , Wu Yong , Gong Zhiyong , Chen Xixi , Cao Fei , Kala Shashwati , Qiu Zhihai , Zhao Xinyi , Chen Jun‐jiang , He Dongming , Chen Taiheng , Zeng Rui , Zhu Jiejun , Wong Kin Fung , Murugappan Suresh , Zhu Ting , Xian Quanxiang , Hou Xuandi , Ruan Ye Chun , Li Baojun , Li Yu Chao , Zhang Yao , Sun Lei 
Published: February 2022

AbstractOptogenetics has become a widely used technique in neuroscience research, capable of controlling neuronal activity with high spatiotemporal precision and cell‐type specificity. Expressing exogenous opsins in the selected cells can induce neuronal activation upon light irradiation, and the activation depends on the power of incident light. However, high optical power can also lead to off‐target neuronal activation or even cell damage. Limiting the incident power, but enhancing power distribution to the targeted neurons, can improve optogenetic efficiency and reduce off‐target effects. Here, the use of optical lenses made of polystyrene microspheres is demonstrated to achieve effective focusing of the incident light of relatively low power to neighboring neurons via photonic jets. The presence of microspheres significantly localizes and enhances the power density to the target neurons both in vitro and ex vivo, resulting in increased inward current and evoked action potentials. In vivo results show optogenetic stimulation with microspheres that can evoke significantly more motor behavior and neuronal activation at lowered power density. In all, a proof‐of‐concept of a strategy is demonstrated to increase the efficacy of optogenetic neuromodulation using pulses of reduced optical power.
Foam 3D Printing of Thermoplastics: A Symbiosis of Additive Manufacturing and Foaming Technology
Authors: Nofar Mohammadreza , Utz Julia , Geis Nico , Altstädt Volker , Ruckdäschel Holger 
Published: February 2022

AbstractDue to their light‐weight and cost‐effectiveness, cellular thermoplastic foams are considered as important engineering materials. On the other hand, additive manufacturing or 3D printing is one of the emerging and fastest growing manufacturing technologies due to its advantages such as design freedom and tool‐less production. Nowadays, 3D printing of polymer compounds is mostly limited to manufacturing of solid parts. In this context, a merged foaming and printing technology can introduce a great alternative for the currently used foam manufacturing technologies such as foam injection molding. This perspective review article tackles the attempts taken toward initiating this novel technology to simultaneously foam and print thermoplastics. After explaining the basics of polymer foaming and additive manufacturing, this article classifies different attempts that have been made toward generating foamed printed structures while highlighting their challenges. These attempts are clustered into 1) architected porous structures, 2) syntactic foaming, 3) post‐foaming of printed parts, and eventually 4) printing of blowing agents saturated filaments. Among these, the latest approach is the most practical route although it has not been thoroughly studied yet. A filament free approach that can be introduced as a potential strategy to unlock the difficulties to produce printed foam structures is also proposed.
A Flexible Method to Fabricate Exsolution‐Based Nanoparticle‐Decorated Materials in Seconds
Authors: Sun Zhu , Fan Weiwei , Bai Yu 
Published: February 2022

AbstractDecorating metallic nanoparticles on the surface of oxide support is a promising approach to tailor the catalytic activity of perovskite. Here, for the first time using thermal shock to rapidly fabricate nanoparticle‐decorated materials (NDMs) is proposed. Low‐cost and size‐tailorable carbon paper is used as the heating source during the thermal shock. It is reported that by thermal shock technique, only ≈13 s including heating and treating time is needed to fabricate the exsolution‐based NDMs (the fastest method to date). Benefitted by the sufficiently provided driving force and the short treating time, as compared to the product prepared by the conventionally furnace‐based method, higher particle density and smaller particle size of the exsolved catalysts are acquired for the thermal shock fabricated NDM, giving rise to a fascinating improvement (12‐fold) of the electrochemical performance. This work develops a new technique to rapidly fabricate NDMs in an economic and high‐throughput manner, profoundly improving the flexibility of the application of exsolution‐based materials in electrochemical devices.
Expression of p53 protein isoforms predicts survival in patients with multiple myeloma
Authors: Rojas Elizabeta A. , Corchete Luis A. , De Ramón Cristina , Krzeminski Patryk , Quwaider Dalia , García‐Sanz Ramón , Martínez‐López Joaquín , Oriol Albert , Rosiñol Laura , Bladé Joan , Lahuerta Juan José , San Miguel Jesús F. , González Marcos , Mateos María Victoria , Bourdon Jean‐Christophe , Misiewicz‐Krzeminska Irena , Gutiérrez Norma C. 
Published: February 2022

AbstractLoss and/or mutation of the TP53 gene are associated with short survival in multiple myeloma, but the p53 landscape goes far beyond. At least 12 p53 protein isoforms have been identified as a result of a combination of alternative splicing, alternative promoters and/or alternative transcription site starts, which are grouped as α, β, γ, from transactivation domain (TA), long, and short isoforms. Nowadays, there are no studies evaluating the expression of p53 isoforms and its clinical relevance in multiple myeloma (MM). We used capillary nanoimmunoassay to quantify the expression of p53 protein isoforms in CD138‐purified samples from 156 patients with newly diagnosed MM who were treated as part of the PETHEMA/GEM2012 clinical trial and investigated their prognostic impact. Quantitative real‐time polymerase chain reaction was used to corroborate the results at RNA levels. Low and high levels of expression of short and TAp53β/γ isoforms, respectively, were associated with adverse prognosis in MM patients. Multivariate Cox models identified high levels of TAp53β/γ (hazard ratio [HR], 4.49; p < .001) and high‐risk cytogenetics (HR, 2.69; p < .001) as independent prognostic factors associated with shorter time to progression. The current cytogenetic‐risk classification was notably improved when expression levels of p53 protein isoforms were incorporated, whereby high‐risk MM expressing high levels of short isoforms had significantly longer survival than high‐risk patients with low levels of these isoforms. This is the first study that demonstrates the prognostic value of p53 isoforms in MM patients, providing new insights on the role of p53 protein dysregulation in MM biology.
A Host–Guest Electron Transfer Mechanism for Magnetic and Electronic Modifications in a Redox‐Active Metal–Organic Framework
Authors: Zhang Jun , Kosaka Wataru , Kitagawa Yasutaka , Miyasaka Hitoshi 
Published: February 2022

AbstractHost–guest electron transfer (HGET) in molecular framework systems is a critical trigger for drastic functional changes in both host framework and guest. A reversible magnetic phase transition was achieved via HGET in a layered framework, [{Ru2(2,6‐F2PhCO2)4}2(BTDA‐TCNQ)] (1), where 2,6‐F2PhCO2− and BTDA‐TCNQ represent 2,6‐difluorobenzoate and bis[1,2,5]dithiazolotetracyanoquinodimethane, respectively. The guest‐free 1 with an antiferromagnetic ground state transformed into a paramagnet, [{Ru2(2,6‐F2PhCO2)4}2(BTDA‐TCNQ)]I3 (1‐I3), by adsorbing iodine (I2). The local charge distribution of [{Ru2II,III}+‐(BTDA‐TCNQ).−‐{Ru2II,II}] in 1 was reversibly modified to [{Ru2II,III}+‐(BTDA‐TCNQ)0‐{Ru2II,II}](I3−) in 1‐I3 through HGET. Theoretical calculations of 1‐I3 indicated a partial charge delocalization as [{Ru2}(1−δ)+‐(BTDA‐TCNQ)0‐{Ru2}δ+](I3−) with δ≈0.2, aided by weak ferromagnetic coupling. 1‐I3 exhibited a hundred‐fold enhancement in electrical conductivity compared to that of 1.
To save or lose? A cross‐national examination of the disease risk framing effect and the influence of collectivism
Authors: Im Hohjin , Chen Chuansheng 
Published: February 2022

AbstractUsing a large dataset from the COVIDiSTRESS Global Survey Consortium spanning 49 countries (N = 102,830), we examined the robustness of Tversky and Kahneman's (1981) framing effect within each country using a variation of the classic Asian Disease Scenario. Results indicated that the framing effect—where respondents are more likely to take the safe option (i.e., a known number of lives saved or lost) than the risky option (i.e., a probability of saving lives) when framed as a gain (i.e., number of lives saved) instead of a loss (i.e., number of lives lost)—was replicated in 100% of the countries examined (h = 0.612, 95% CI [0.568, 0.656]). Results showed that societal collectivism was negatively associated with individual propensity to select the safer option in both the gain and loss framed conditions. Collectivism was also partly related to smaller framing effect sizes at the country level. Implications and future directions are discussed.
Using independent cross‐sectional survey data to predict post‐migration health trajectories among refugees by estimating transition probabilities and their variances
Authors: Erdmann Stella , Biddle Louise , Kieser Meinhard , Bozorgmehr Kayvan 
Published: February 2022

AbstractHealth research is often concerned with the transition of health conditions and their relation with given exposures, therefore requiring longitudinal data. However, such data is not always available and resource‐intensive to collect. Our aim is to use a pseudo‐panel of independent cross‐sectional data (e.g., data of and ) to extrapolate and approximate longitudinal health trajectories (–). Methods will be illustrated by examples of studying contextual effects on health among refugees by calculating transition probabilities with associated variances. The data consist of two cross‐sectional health surveys among randomly selected refugee samples in reception () and accommodation centers () located in Germany's third‐largest federal state. Self‐reported measures of physical and mental health, health‐related quality of life, health care access, and unmet medical needs of 560 refugees were collected. Missing data were imputed by multiple imputation. For each imputed data set, transition probabilities were calculated based on (i) probabilistic discrete event systems with Moore‐Penrose generalized inverse matrix method (PDES‐MP) and (ii) propensity score matching (PSM). By application of sampling approaches, exploiting the fact that status membership is multinomially distributed, results of both methods were pooled by Rubin's Rule, accounting for within and between‐imputation variance. Most of the analyzed estimates of the transition probabilities and their variances are comparable between both methods. However, it seems that they handle sparse cells differently: either assigning an average value for the transition probability for all states with high certainty (i) or assigning a more extreme value for the transition probability with large variance estimate (ii).
Two‐dimensional P‐spline smoothing for spatial analysis of plant breeding trials
Authors: Piepho Hans‐Peter , Boer Martin P. , Williams Emlyn R. 
Published: February 2022

AbstractLarge agricultural field trials may display irregular spatial trends that cannot be fully captured by a purely randomization‐based analysis. For this reason, paralleling the development of analysis‐of‐variance procedures for randomized field trials, there is a long history of spatial modeling for field trials, starting with the early work of Papadakis on nearest neighbor analysis, which can be cast in terms of first or second differences among neighboring plot values. This kind of spatial modeling is amenable to a natural extension using splines, as has been demonstrated in recent publications in the field. Here, we consider the P‐spline framework, focusing on model options that are easy to implement in linear mixed model packages. Two examples serve to illustrate and evaluate the methods. A key conclusion is that first differences are rather competitive with second differences. A further key observation is that second differences require special attention regarding the representation of the null space of the smooth terms for spatial interaction, and that an unstructured variance–covariance structure is required to ensure invariance to translation and rotation of eigenvectors associated with that null space. We develop a strategy that permits fitting this model with ease, but the approach is more demanding than that needed for fitting models using first differences. Hence, even though in other areas, second differences are very commonly used in the application of P‐splines, our conclusion is that with field trials, first differences have advantages for routine use.
EI‐SCAM as a teaching tool in an undergraduate course in analog and high‐frequency circuits
Authors: Sánchez‐Gaspariano Luis A. , Vivaldo‐de‐la‐Cruz Israel , Muñoz‐Pacheco Jesús M. , del Carmen Gómez‐Pavón Luz , Ramos Arnulfo Luis 
Published: February 2022

AbstractEI‐SCAM is a very useful tool capable of carrying out symbolic, semi‐symbolic, and numerical solutions for the electrical variables of a circuit under analysis. The goal of the research reported herein is to assess the effectiveness of the program as a teaching tool for circuit analysis of Automotive System Engineering students. To this aim, EI‐SCAM has been used for at least 5 years, from 2017 to 2021, in the undergraduate course Interfaces, Communications, and Signal Processing, intended to Automotive System Engineering majors at the Electronics Faculty of the Benemérita Universidad Autónoma de Puebla, México, and whose main topics are related to interface circuits for signal conditioning from sensors and towards actuators in the car. EI‐SCAM was used as a complement to theoretical classes and it has also been used alone as a self‐study tool. A student survey indicated that EI‐SCAM was an excellent complement to the teaching process, providing a useful and convenient tool for circuit analysis tasks even when the user is unfamiliar with both the use of MATLAB and circuit analysis. Additionally, a test applied before and after the introduction of EI‐SCAM in the course showed an increase beyond the 60% in the assertiveness of the students to respond properly to the questions.
Identification of a novel nine‐SnoRNA signature with potential prognostic and therapeutic value in ovarian cancer
Authors: Zhu Wenjing , Zhang Tao , Luan Shaohong , Kong Qingnuan , Hu Wenmin , Zou Xin , Zheng Feibo , Han Wei 
Published: February 2022

AbstractBackgroundIncreasing evidence has been confirmed that small nucleolar RNAs (SnoRNAs) play critical roles in tumorigenesis and exhibit prognostic value in clinical practice. However, there is short of systematic research on SnoRNAs in ovarian cancer (OV).Material/Methods379 OV patients with RNA‐Seq and clinical parameters from TCGA database and 5 paired clinical OV tissues were embedded in our study. Cox regression analysis was used to identify prognostic SnoRNAs and construct prediction model. SNORic database was adopted to examine the copy number variation of SnoRNAs. ROC curves and KM plot curves were applied to validate the prognostic model. Besides, the model was validated in 5 paired clinical tissues by real‐time PCR, H&E staining and immunohistochemistry.ResultsA prognostic model was constructed on the basis of SnoRNAs in OV patients. Patients with higher RiskScore had poor clinicopathological parameters, including higher age, larger tumor size, advanced stage and with tumor status. KM plot analysis confirmed that patients with higher RiskScore had poorer prognosis in subgroup of age, tumor size, and stage. 7 of 9 SnoRNAs in the prognostic model had positive correlation with their host genes. Moreover, 5 of 9 SnoRNAs in the prognostic model correlated with their CNVs, and SNORD105B had the strongest correction with its CNVs. ROC curve showed that the RiskScore had excellent specificity and accuracy. Further, results of H&E staining and immunohistochemistry of Ki67, P53 and P16 confirmed that patients with higher RiskScore are more malignant.ConclusionsIn summary, we identified a nine‐SnoRNAs signature as an independent indicator to predict prognosis of OV, providing a prospective prognostic biomarker and potential therapeutic targets for ovarian cancer.
Stereo‐Divergent Enzyme Cascades to Convert Racemic 4‐Phenyl‐2‐Butanol into either (S)‐ or (R)‐Corresponding Chiral Amine
Authors: Romero‐Fernandez Maria , Paradisi Francesca 
Published: February 2022

AbstractThe synthesis of enantiopure chiral amines from racemic alcohols is a key transformation in the chemical industry, e. g., in the production of active pharmaceutical ingredients (APIs). However, this reaction remains challenging. In this work, we propose a one‐pot enzymatic cascade for the direct conversion of a racemic alcohol into either (S)‐ or (R)‐enantiomers of the corresponding amine, with in‐situ cofactor recycling. This enzymatic cascade consists of two enantio‐complementary alcohol dehydrogenases, both NADH and NADPH oxidase for in‐situ recycling of NAD(P)+ cofactors, and either (S)‐ or (R)‐enantioselective transaminase. This cell‐free biocatalytic system has been successfully applied to the conversion of racemic 4‐phenyl‐2‐butanol into the high value (S)‐ or (R)‐enantiomers of the amine reaching good (73 % (S)) and excellent (>99 % (R)) enantioselectivities.
Transmitral extraction of a huge left ventricular mural thrombus using a novel mitral leaflet retractor
Authors: Ito Hisato , Bessho Saki , Nakamura Bun , Toba Shuhei , Shomura Yu , Takao Motoshi 
Published: February 2022

AbstractA 52‐year‐old woman with a past history of anterior myocardial infarction 15 years previously was found to have a pedunculated mobile thrombus with a narrow stalk originating from the left ventricle, and a huge laminated mural thrombus. Surgical extraction of the two organized thrombi was successfully performed with transmitral approach using a novel, flexible, self‐retained, and reusable leaflet retractor, which was originally developed for exposure of the subvalvular apparatus during mitral valve repair. Excellent access, exposure, and visualization of the left ventricle were achieved by this heart valve retractor and an endoscope for removal of a huge mural thrombus.
Primary thoracic synovial sarcomas: A case report
Authors: Kallel Nesrine , Sakka Darine , Zaafouri Asma , Khemakhem Rim , Yangui Ilhem , Msaad Sameh 
Published: February 2022

AbstractPrimary pulmonary synovial sarcoma (SS) is a rare neoplasm. Its clinicoradiologic attributes are not yet well defined. We report the observation of a patient followed for primary pulmonary synovial sarcoma. We report the radio‐clinical features of this rare tumor.
BODIPY Catalyzes Proximity‐Dependent Histidine Labelling
Authors: Nakane Keita , Niwa Tatsuya , Tsushima Michihiko , Tomoshige Shusuke , Taguchi Hideki , Nakamura Hiroyuki , Ishikawa Minoru , Sato Shinichi 
Published: February 2022

AbstractThe novel function of BODIPY, a widely used fluorescent probe, as a catalyst for the chemical labelling of histidine is revealed. Singlet oxygen (1O2) produced by the photosensitizer property of BODIPY oxidises histidine residues, and the histidine oxidised by 1O2 is trapped by the nucleophile 1‐methyl‐4‐arylurazole (MAUra). The simple chemical structure of BODIPY facilitates easier modification compared to other photosensitizer molecules and allows catalysis of protein/peptide‐labelling with higher histidine selectivity compared to the ruthenium complex. Owing to the short life of 1O2, the reaction was selectively completed in close proximity with BODIPY. Site‐selective functionalization of the target/antibody was successfully achieved using ligand‐conjugated BODIPY.
MOF‐Derived Carbon Embedded NiO for an Alkaline Zn−NiO Electrochromic Battery
Authors: Dewan Anweshi , Sur Soumodip , Narayanan Remya , Thotiyl Musthafa Ottakam 
Published: February 2022

AbstractIn the era of intelligent automation, smart energy storage devices are highly sought after due to their capability to reveal their state of charge by a visual color change. In principle, this is typically obtained by integrating electrochromic materials which demonstrate a change in optical band gap during redox reactions as electrodes in batteries/supercapacitors. Among various electrochromic materials, transition metal oxides have received significant interests because of their natural abundance, good cycling stability and high electrochemical response. In this work, metal organic framework (MOF) derived carbon embedded NiO (NiO@C) demonstrates very fast switching speeds of ∼1.4 s for coloration and ∼3.5 s for bleaching with high coloration efficiency of ∼135.16 cm2/C. These aspects make MOF‐derived NiO@C a potential candidate to be integrated as a smart positive electrode in an alkaline zinc (Zn) battery to construct a rechargeable Zn−NiO electrochromic (EC) battery. The Zn−NiO EC battery delivers an average voltage of ∼1.84 V and demonstrates a specific capacity of ∼85.3 mAh/m2 at 0.1 mA/cm2 current density. It visually displays its energy storage level by changing its color from dark brown (charged state) to colorless (discharged state), making it a potential candidate in smart windows and energy storage displays.
Cu(I)/Chiral Bisoxazoline‐Catalyzed Enantioselective Doyle‐Kirmse Reaction of Allenyl Sulfides with α‐Diazoesters
Authors: Wang Kang , Li Shu‐Sen , Wang Jianbo 
Published: February 2022

AbstractHerein, a Cu(I)‐catalyzed enantioselective Doyle‐Kirmse reaction of allenyl sulfides and α‐diazoesters is reported, which provides an efficient synthetic route to enantio‐enriched chiral tertiary homopropargylic sulfides. This reaction features high enantioselectivities (up to 96 % ee) and good functional group tolerance. The alkyl substituted α‐diazoester has also been demonstrated as the efficient substrates in the asymmetric Doyle‐Kirmse reaction. Mechanistic studies, including kinetic experiments, were conducted to gain insights into the details of the reaction pathway. The potential synthetic utility of this protocol has also been demonstrated.
Uncertainty Quantification of Reactivity Scales**
Authors: Proppe Jonny , Kircher Johannes 
Published: February 2022

AbstractAccording to Mayr, polar organic synthesis can be rationalized by a simple empirical relationship linking bimolecular rate constants to as few as three reactivity parameters. Here, we propose an extension to Mayr's reactivity method that is rooted in uncertainty quantification and transforms the reactivity parameters into probability distributions. Through uncertainty propagation, these distributions can be transformed into uncertainty estimates for bimolecular rate constants. Chemists can exploit these virtual error bars to enhance synthesis planning and to decrease the ambiguity of conclusions drawn from experimental data. We demonstrate the above at the example of the reference data set released by Mayr and co‐workers [J. Am. Chem. Soc. 2001, 123, 9500; J. Am. Chem. Soc. 2012, 134, 13902]. As by‐product of the new approach, we obtain revised reactivity parameters for 36 π‐nucleophiles and 32 benzhydrylium ions.