bluuebunny/crossref_metadata_2025_split huggingface dataset:
Engineering the Non‐Radiative Recombination of Mixed‐Halide Perovskites with Optimal Bandgap for Indoor Photovoltaics
Authors: Li Yanyan , Li Ruiming , Lin Qianqian 
Published: May 2022

AbstractIndoor photovoltaics have attracted increasing attention, since they can provide sustainable energy through the recycling of photon energy from household dim lighting. However, solar cells exhibiting high performance under sunlight may not perform well under indoor light conditions, mainly due to the mismatch of the irradiance spectrum. In particular, most of the indoor light sources emit visible photons with negligible near‐infrared irradiance. According to the detailed balance theory, the optimal bandgap for indoor photovoltaics should be relatively larger, considering the trade‐off between photocurrent and photovoltage losses. In this work, a systematic comparison of the theoretical limits of the conventional and indoor photovoltaics is presented. Then the non‐radiative recombination losses are reduced by a synergetic treatment with Pb(SCN)2 and PEABr, resulting relatively high open circuit voltage of 1.29 V and power conversion efficiency of 17.32% under 1 sun illumination. Furthermore, the devices are fully characterized under weak indoor light (1000 lux, 4000 K LED) achieving a high efficiency of 37.18%, which is promising for real applications.
Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms
Authors: Gartziandia Aitor , Arrieta Aitor , Ayerdi Jon , Illarramendi Miren , Agirre Aitor , Sagardui Goiuria , Arratibel Maite 
Published: May 2022

AbstractThe software of systems of elevators needs constant maintenance to deal with new functionality, bug fixes, or legislation changes. To automatically validate the software of these systems, a typical approach in industry is to use regression oracles, which execute test inputs both in the software version under test and in a previous software version. However, these practices require a long test execution time and cannot be re‐used at different test phases. To deal with these issues, we propose Dispatching AlgoRIthm Oracle (DARIO), a test oracle that relies on regression machine‐learning algorithms to detect both functional and non‐functional problems of the system. The machine‐learning algorithms of this oracle are trained by using data from previously tested versions to predict reference functional and non‐functional performance values of the new versions. An empirical evaluation with an industrial case study demonstrates the feasibility of using our approach. A total of five regression learning algorithms were validated by using mutation testing techniques. For the context of functional bugs, the accuracy when predicting verdicts by DARIO ranged between 95% and 98%, across the different scenarios proposed. For the context of non‐functional bugs, were competitive too, having an accuracy when predicting verdicts by DARIO ranged between 83% and 87%.
Anisotropic Charge Transport Enabling High‐Throughput and High‐Aspect‐Ratio Wet Etching of Silicon Carbide
Authors: Shi Dachuang , Chen Yun , Li Zijian , Dong Shankun , Li Liyi , Hou Maoxiang , Liu Huilong , Zhao Shenghe , Chen Xin , Wong Ching‐Ping , Zhao Ni 
Published: May 2022

AbstractWet etching of silicon carbide typically exhibits poor etching efficiency and low aspect ratio. In this study, an etching structure that exploits anisotropic charge carrier flow to enable high‐throughput, external‐bias‐free wet etching of high‐aspect‐ratio SiC micro/nano‐structures is demonstrated. Specifically, by applying a catalytic metal coating at the bottom surface of a SiC wafer while introducing patterned ultraviolet light illumination from its top surface, spatial charge separation across the wafer is achieved, i.e., photogenerated electrons are channeled to the bottom to participate in the reduction reaction of an oxidant in the etchant solution, while holes flow to the top to trigger oxidation of SiC and subsequent etching. Such design largely suppresses recombination‐induced charge losses, and when used in combination with a top metal catalyst mask, the structure yields a remarkable vertical etching rate of 0.737 µm min−1 and an aspect ratio of 3.2, setting new records for wet‐etching methods for SiC.
The relationship between inbound open innovation and the innovative use of information technology by individuals in teams of start‐ups
Authors: Yao Meifang , Ye Dan , Zhao Liyi 
Published: May 2022

AbstractDigital technology and artificial intelligence technology have built an open sharing environment of intellectualization. For start‐ups, which are restricted by their own limited resources, it is wise to take inbound open innovation as a strategy to get external advanced technical information quickly. However, how to match technology resources obtained from outside with the organisation's demand is still a problem for entrepreneurial teams and entrepreneurial researchers. Based on the literature review of existing research and considering entrepreneurial teams' demand to deal with the challenges, this paper firstly analyses the relationship between entrepreneurial teams' inbound open innovation strategy and the innovative use of information technology by individuals in teams of start‐ups and based on the Identity Theory to explore the mechanism of IT identity on the relationship mentioned above. Lastly, the paper further analyses two types of team authorisation (structural empowerment and psychological empowerment) that play different moderating roles in the relationship of inbound open innovation, IT identity and the innovative use of information technology by individuals in teams. Using 238 survey data from entrepreneurial teams with linear regression analysis, we found that IT identity moderates the relationship between inbound open innovation and individual new IT technology exploration positively, and team psychological empowerment has further moderated the relationship between inbound open innovation and the innovative use of information technology by individuals in teams positively, while team structure empowerment plays an inverted U‐shaped moderation. This study has certain guiding significance for entrepreneurial teams to take advantage of digitalised opportunities, and it also has important value for innovation and digitalisation research.
Hepatic STAMP2 alleviates polychlorinated biphenyl‐induced steatosis and hepatic iron overload in NAFLD models
Authors: Kim Hye Young , Park Chul Hee , Park Joon Beom , Ko Kangeun , Lee Mi Hwa , Chung Jin , Yoo Young Hyun 
Published: May 2022

AbstractPolychlorinated biphenyls (PCBs) have been associated with neurotoxicity, hepatoxicity, oncogenicity, and endocrine‐disrupting effects. Although the recent studies have demonstrated that PCB exposure leads to nonalcoholic fatty liver disease (NAFLD), the underlying mechanism has remained unsolved. In this study, we examined the hepatic effects of a PCB mixture, Aroclor 1260, whose composition mimics human bioaccumulation patterns, and PCB 126 in C57BL/6 mice. Male C57Bl/6 mice were fed a standard diet or a 60% high‐fat diet and exposed to Aroclor 1260 (10 mg/kg or 20 mg/kg) or PCB 126 (1 mg/kg or 5 mg/kg) by intraperitoneal injection for a total of four injections (2, 3, 4, and 5 weeks) for 6 weeks. In mice, both Aroclor 1260 and PCB 126‐induced liver damage, hepatic steatosis and inflammation. We also observed that PCB exposure‐induced hepatic iron overload (HIO). We previously demonstrated that hepatic six transmembrane protein of prostate 2 (STAMP2) may represent a suitable therapeutic target for NAFLD patients. Thus, we further examined whether hepatic STAMP2 is involved in PCB‐induced NAFLD. We observed that hepatic STAMP2 was significantly decreased in PCB‐induced NAFLD models in vivo and in vitro. Furthermore, overexpression of hepatic STAMP2 using an adenoviral delivery system resulted in improvement of PCB‐induced steatosis and HIO in vivo and in vitro. Our findings indicate that enhancing hepatic STAMP2 expression represents a potential therapeutic avenue for the treatment of PCB exposure‐induced NAFLD.
Material and food exploration by zoo‐housed animals can inform cognition and enrichment apparatus design
Authors: Clark Fay E. , Chivers Lucy , Pearson Olivia 
Published: May 2022

AbstractTo robustly study zoo animal cognition and provide effective enrichment, we must provide animals with carefully designed apparatus made from appropriate (safe, attractive, practical) materials. However, all too often, this design phase is overlooked or omitted from the literature. We evaluated how a troop of 12 ring‐tailed lemurs (Lemur catta) explored a range of novel materials and whole foods during outdoor social testing. These items were not intended to test cognition or be enriching; rather we viewed them as the potential “building blocks” from which to build our future apparatus. Lemurs preferred to explore wooden surfaces, but had no preference for manipulanda made from different materials. Large amounts of metal and untreated wood should be avoided in the future; metal produced too much heat and glare, and wood was damaged by biting/chewing. Lemurs used one or two hands to explore manipulanda, and simple touching was more common than twisting or pulling. However, lemurs were most likely to explore by smell than touch or by mouth. Social testing preserved “normal” conditions for the lemurs, including natural food stealing and scrounging in high‐ and low‐ranking individuals, respectively. Our findings culminated in the development of a static, low‐level cognitive task apparatus, constructed from modular plastic units. We encourage other researchers to report how they develop cognitive and enrichment apparatuses and consider a similar preference‐testing approach.
In Vivo Tracking of Bacterial Colonization in Different Murine Models Using Bioluminescence: The Example of Salmonella
Authors: Koczerka Michaël , Lantier Isabelle , Pinard Anne , Morillon Marie , Deperne Justine , Gal-Mor Ohad , Grépinet Olivier , Virlogeux-Payant Isabelle 
Published: May 2022

AbstractApplications of bioluminescence for the in vivo study of pathogenic microorganisms are numerous, ranging from the quantification of virulence gene expression to measuring the effect of antimicrobial molecules on the colonization of tissues and organs by the pathogen. Most studies are performed in mice, but recent works demonstrate that this technique is applicable to larger animals like fish, guinea pigs, ferrets, and chickens. Here, we describe the construction and the utilization of a constitutively luminescent strain of Salmonella Typhimurium to monitor in vivo and ex vivo the colonization of mice in the gastroenteritis, typhoid fever, and asymptomatic carriage models of Salmonella infection.
Plant-Based Cell-Free Transcription and Translation of Recombinant Proteins
Authors: Buntru Matthias , Vogel Simon , Finnern Ricarda , Schillberg Stefan 
Published: May 2022

AbstractPlant cell-free lysates contain all the cellular components of the protein biosynthesis machinery, providing an alternative to intact plant cells, tissues, and whole plants for the production of recombinant proteins. Cell-free lysates achieve rapid protein production (within hours or days) and allow the synthesis of proteins that are cytotoxic or unstable in living cells. The open nature of cell-free lysates and their homogeneous and reproducible performance is ideal for protein production, especially for screening applications, allowing the direct addition of nucleic acid templates encoding proteins of interest, as well as other components such as enzyme substrates, chaperones, artificial amino acids, or labeling molecules. Here we describe procedures for the production of recombinant proteins in the ALiCE (Almost Living Cell-free Expression) system, a lysate derived from tobacco cell suspension cultures that can be used to manufacture protein products for molecular and biochemical analysis as well as applications in the pharmaceutical industry.
Decay of the charged Higgs boson and the top quark in two-Higgs-doublet model at NNLO in QCD
Authors: Shen Xiao-Min , Hu YaLu , Sun ChuanLe , Gao Jun 
Published: May 2022

Abstract
We present numerical calculations of the partial width of the charged Higgs boson decay into a top quark, H− → $$ \overline{t} $$

t
¯

+ b + X, and the partial width of the top quark decay into a light charged Higgs boson t → H+ + b + X at next-to-next-to-leading order (NNLO) in QCD, based on a factorization formula of the jet mass. The NNLO corrections significantly reduce the renormalization scale dependence of the partial decay width in both cases. We show relative size of the NNLO corrections for different charged Higgs boson masses and for different renormalization scales. The NNLO corrections are about 16% (1%) of the leading order widths for the charged Higgs boson mass of 200 GeV (2000 GeV), while it is quite small for the top quark decay. Our analyses are independent of the detailed structure of the Yukawa couplings, and can be applied to various new physics models, as demonstrated by the decay branching ratio in different types of the two-Higgs-doublet models.
Instanton expansions and phase transitions
Authors: Stout John 
Published: May 2022

Abstract
A central object in any axionic theory is its periodic potential, which is typically generated by instantons. The goal of this paper is to understand what physically happens to the theory when we lose control of the potential’s instanton expansion. We argue, using the Yang-Lee theory of phase transitions, that the theory breaks down in the classic sense: states become light. However, these states are not necessarily light for all values of the axion and there can be large regions where the effective description remains valid. We find alternative expressions for the effective potential in terms of the properties of these light states, which remain useful even when the instanton expansion breaks down, and thus initiate a push beyond the lamppost of large instanton actions. Most of these questions are motivated by the axionic Weak Gravity Conjecture, which we reformulate without reference to instanton actions. We also comment on its ability to constrain large-field axion inflation.
Krylov complexity in saddle-dominated scrambling
Authors: Bhattacharjee Budhaditya , Cao Xiangyu , Nandy Pratik , Pathak Tanay 
Published: May 2022

Abstract
In semi-classical systems, the exponential growth of the out-of-time-order correlator (OTOC) is believed to be the hallmark of quantum chaos. However, on several occasions, it has been argued that, even in integrable systems, OTOC can grow exponentially due to the presence of unstable saddle points in the phase space. In this work, we probe such an integrable system exhibiting saddle-dominated scrambling through Krylov complexity and the associated Lanczos coefficients. In the realm of the universal operator growth hypothesis, we demonstrate that the Lanczos coefficients follow the linear growth, which ensures the exponential behavior of Krylov complexity at early times. The linear growth arises entirely due to the saddle, which dominates other phase-space points even away from itself. Our results reveal that the exponential growth of Krylov complexity can be observed in integrable systems with saddle-dominated scrambling and thus need not be associated with the presence of chaos.
Genomic prediction of zinc-biofortification potential in rice gene bank accessions
Authors: Rakotondramanana Mbolatantely , Tanaka Ryokei , Pariasca-Tanaka Juan , Stangoulis James , Grenier Cécile , Wissuwa Matthias 
Published: May 2022

Abstract
Key message
A genomic prediction model successfully predicted grain Zn concentrations in 3000 gene bank accessions and this was verified experimentally with selected potential donors having high on-farm grain-Zn in Madagascar.

Abstract
Increasing zinc (Zn) concentrations in edible parts of food crops, an approach termed Zn-biofortification, is a global breeding objective to alleviate micro-nutrient malnutrition. In particular, infants in countries like Madagascar are at risk of Zn deficiency because their dominant food source, rice, contains insufficient Zn. Biofortified rice varieties with increased grain Zn concentrations would offer a solution and our objective is to explore the genotypic variation present among rice gene bank accessions and to possibly identify underlying genetic factors through genomic prediction and genome-wide association studies (GWAS). A training set of 253 rice accessions was grown at two field sites in Madagascar to determine grain Zn concentrations and grain yield. A multi-locus GWAS analysis identified eight loci. Among these, QTN_11.3 had the largest effect and a rare allele increased grain Zn concentrations by 15%. A genomic prediction model was developed from the above training set to predict Zn concentrations of 3000 sequenced rice accessions. Predicted concentrations ranged from 17.1 to 40.2 ppm with a prediction accuracy of 0.51. An independent confirmation with 61 gene bank seed samples provided high correlations (r = 0.74) between measured and predicted values. Accessions from the aus sub-species had the highest predicted grain Zn concentrations and these were confirmed in additional field experiments, with one potential donor having more than twice the grain Zn compared to a local check variety. We conclude utilizing donors from the aus sub-species and employing genomic selection during the breeding process is the most promising approach to raise grain Zn concentrations in rice.
RETRACTED ARTICLE: Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes
Authors: Yoon Ji Soo , Sasaki Shugo , Velghe Jane , Lee Michelle Y. Y. , Winata Helena , Nian Cuilan , Lynn Francis C. 
Published: May 2022

Abstract
Aims/hypothesis
Pancreatic islets depend on cytosolic calcium (Ca2+) to trigger the secretion of glucoregulatory hormones and trigger transcriptional regulation of genes important for islet response to stimuli. To date, there has not been an attempt to profile Ca2+-regulated gene expression in all islet cell types. Our aim was to construct a large single-cell transcriptomic dataset from human islets exposed to conditions that would acutely induce or inhibit intracellular Ca2+ signalling, while preserving biological heterogeneity.

Methods
We exposed intact human islets from three donors to the following conditions: (1) 2.8 mmol/l glucose; (2) 16 mmol/l glucose and 40 mmol/l KCl to maximally stimulate Ca2+ signalling; and (3) 16 mmol/l glucose, 40 mmol/l KCl and 5 mmol/l EGTA (Ca2+ chelator) to inhibit Ca2+ signalling, for 1 h. We sequenced 68,650 cells from all islet cell types, and further subsetted the cells to form an endocrine cell-specific dataset of 59,373 cells expressing INS, GCG, SST or PPY. We compared transcriptomes across conditions to determine the differentially expressed Ca2+-regulated genes in each endocrine cell type, and in each endocrine cell subcluster of alpha and beta cells.

Results
Based on the number of Ca2+-regulated genes, we found that each alpha and beta cell cluster had a different magnitude of Ca2+ response. We also showed that polyhormonal clusters expressing both INS and GCG, or both INS and SST, are defined by Ca2+-regulated genes specific to each cluster. Finally, we identified the gene PCDH7 from the beta cell clusters that had the highest number of Ca2+-regulated genes, and showed that cells expressing cell surface PCDH7 protein have enhanced glucose-stimulated insulin secretory function.

Conclusions/interpretation
Here we use our large-scale, multi-condition, single-cell dataset to show that human islets have cell-type-specific Ca2+-regulated gene expression profiles, some of them specific to subpopulations. In our dataset, we identify PCDH7 as a novel marker of beta cells having an increased number of Ca2+-regulated genes and enhanced insulin secretory function.

Data availability
A searchable and user-friendly format of the data in this study, specifically designed for rapid mining of single-cell RNA sequencing data, is available at https://lynnlab.shinyapps.io/Human_Islet_Atlas/. The raw data files are available at NCBI Gene Expression Omnibus (GSE196715).

Graphical abstract
Contingency analysis for gas transport networks with hydrogen injection
Authors: Clees Tanja 
Published: May 2022

AbstractNovel methods for contingency analysis of gas transport networks are presented. They are motivated by the transition of our energy system where hydrogen plays a growing role. The novel methods are based on a specific method for topological reduction and so-called supernodes. Stationary Euler equations with advanced compressor thermodynamics and a gas law allowing for gas compositions with up to 100$$\%$$%hydrogen are used. Several measures and plots support an intuitive comparison and analysis of the results. In particular, it is shown that the newly developed methods can estimate locations and magnitudes of additional capacities (injection, buffering, storage etc.) with a reasonable performance for networks of relevant composition and size.
Does the smell of alcohol make it harder to resist? The impact of olfactory cues on inhibitory control and attentional bias
Authors: Monk R. L. , Qureshi A. , Wernham G. , Heim D. 
Published: May 2022

AbstractBackgroundIt is well known that, owing to associative processing, olfactory cues can impact memory, emotion and behaviour. Research also points to a link between the smells of particular substances and craving. Yet, to date, little research has investigated how smell may impact other cognitive processes that are known to drive alcohol consumption.AimTo assess how exposure to alcohol-related (vodka) relative to neutral (citrus) olfactory cues impacts inhibitory control and attentional bias.MethodParticipants took part in a go/no-go (Study 1) and Stroop task (Study 2) while wearing masks that were pre-treated with vodka or citrus oil of equivalent intensity.Study 1 resultsResponse error rates were higher in participants in the alcohol-related (versus neutral) olfactory condition, with no interaction between olfactory and visual cue.Study 2 resultsResponses to alcohol-related versus neutral words were similar, while performance appeared significantly impaired among participants wearing alcohol (relative to citrus) infused masks. ConclusionThe smell of alcohol may impair signal detection performance on the go/no-go and Stroop task. As inhibitory control and attentional processes are known to be associated with decisions to drink or exercise restraint, these results may have implications for our understanding of alcohol consumption and for tailoring interventions.