bluuebunny/crossref_metadata_2025_split huggingface dataset:
How can China's sustainable development be damaged in consequence of financial misallocation? Analysis from the perspective of regional innovation capability
Authors: Li Yunwei , Long Wenjing , Ning Xiao , Zhu Yumeng , Guo Yifan , Huang Zhou , Hao Yu 
Published: May 2022

AbstractChina's extensive economic growth has been accompanied with high levels of pollution, and excessive energy consumption has brought serious pollution problems. The use of financial resources to regulate green production modes and encourage high‐quality economic development has become a major focus in academia. At the same time, growth enterprise market (GEM) enterprises, which mainly operate in technology‐intensive industries, are assumed to have a simulating effect on regional innovation. Therefore, this paper utilizes the capital return differences of 4437 listed companies and 920 GEM companies based in 30 provinces of China from 2008 to 2018 to quantitatively analyze the levels of financial misallocation. With two‐stage regression method, the direct effect of financial misallocation on regional green total factor energy efficiency (GTFEE) and the indirect impact observed when taking regional innovation as an intermediary variable are discussed. Furthermore, dynamic threshold panel regression and heterogeneity analysis are used to verify the above nonlinear relationship. The empirical findings indicate that financial misallocation enhances innovation capability and further restrains GTFEE. With an improved degree of marketization and environmental regulation, the inhibitory effect of financial misallocation on GTFEE is more significant.
Critical human and behavioral factors on the adoption of sustainable supply chain management practices in the context of automobile industry
Authors: Gedam Vidyadhar V. , Raut Rakesh D. , Agrawal Nishant , Zhu Qingyun 
Published: May 2022

AbstractBuilt upon the resource‐based view, the study examines the critical human and behavioral factors (HBFs) on adopting sustainable supply chain practices in the automobile sector (AS). The Interpretive Structural Modeling (ISM) and Decision‐Making Trial and Evaluation Laboratory (DEMATEL) method is applied to understand the causeeffect relationships between (HBFs), evidenced by a case study in the automobile industry of India. The causeeffect relationships are informed by an expert team consisting of 18 members working in academia, the automobile industry, and professional consulting companies. The experts provided their inputs based on their direct experience and expertise in this subject matter. The research findings highlight that sustainable supply chain cost (end to end) is a critical success factor. Mangers in the AS should prioritize and focus on sustainable supply chain costs (end to end) to pursue sustainable practices because such critical success factors can foster information sharing behavior. The firms could develop both hard and soft critical HBFs such as Information technology (IT) infrastructure and employee training to build up HBFs to integrate a supply chain. The study provides insight to academicians, policymakers, and practitioners about critical HBFs and develops sustainability goals and policies accordingly.
An approach to determining, delivering, and assessing essential course content in a medical human anatomy course
Authors: McNamara John P. , Nolan Michael F. 
Published: May 2022

AbstractLearning objectives typically indicate subject matter judged to be important or that represents essential material to be learned during a course. We report here on our efforts to identify essential course content and determine our effectiveness teaching and assessing this content in our preclinical human anatomy course. Using a consensus driven approach, we identified anatomical structures, relationships, and functional concepts judged to represent essential material in our unit on the thorax that students were expected to be familiar with. We then determined performance on specific examination questions that focused directly on the essential material. Thirty‐seven of 48 students (77%) correctly answered all 34 of 51 questions that directly focused on content we defined as essential. The remaining 11 students answered the majority of these questions correctly. The overall mean score was 86% (range 61%–98%). Our review of student performance on the End of Block thorax examination confirmed our belief that we were successful in helping students learn material we defined as essential. We found the process described here to be helpful in defining essential content and for helping focus and improve medical education and learning assessment based on that material. We believe the idea of defining essential content that can be efficiently taught and effectively learned within a proscribed period of time is an important and necessary objective. We believe the approach used here might be successfully utilized in other programs in efforts aimed at quality improvement.
Iatrogenic Peri‐Implantitis—Factors Interplaying the Implant Suprastructure Design
Authors: Dab Sandeep Singh 
Published: May 2022

Focused Clinical QuestionWhat is the key clinically controllable preventive measure that may help reduce the incidence of biological complications?SummaryImplant complications are common, ineffective care, and delay in diagnosis can lead to expensive time‐consuming surgical and nonsurgical interventions. Careful selection and placement of implant allow development of adequate emergence design of the implant suprastructure. This helps achieve effective plaque control, adequate maintenance at hygiene visits, accurate follow‐up assessments of the peri‐implant tissues addressing the key underlying factor impacting biological complications. This clinically controllable preventative measure may be considered a vital strategy in averting peri‐implant disease.ConclusionsSurge in biological complications has led to increased patient dissatisfaction in terms of time, cost, esthetics, and maintenance. One of the factors identified in causing biological complications is the iatrogenic prosthesis‐related factor. Minimizing the impact of this factor is crucial to the overall implant success. Selection and placement of implant following meticulous planning, using careful surgical protocols, allow development of adequate suprastructure design that improves overall patient outcomes by reducing biological complications. Further research is essential to comprehensively assess the impact of these strategies in thwarting development of biological complications.
The ecological and economic advantages of carbon reinforced concrete—Using the C3 result house CUBE especially the BOX value chain as an example
Authors: Tietze Matthias , Kirmse Susanne , Kahnt Alexander , Schladitz Frank , Curbach Manfred 
Published: May 2022

AbstractAgainst the background of global warming and the associated need to drastically reduce energy and resource consumption, action must also be taken in the building sector. Resource‐efficient construction methods must be used that nevertheless allow the increasing construction tasks in areas such as infrastructure and housing to continue to be fulfilled. In order to successfully introduce a new construction method to the market, the aspects of recyclability and economic efficiency are essential, in addition to important government requirements for climate neutrality and technical performance. Above all, the economic viability, that is, the economic advantageousness, as well as its simple applicability compared to competing systems, decides on the success and widespread use of a new technology. Carbon reinforced concrete, with its outstanding technical properties and simultaneous material efficiency, is an important building block toward climate neutrality in the construction industry. It is a promising technology that still has to prove its economic advantages and robust applicability under market conditions. In addition to the infrastructure sector, there is great potential in the area of housing creation, which needs to be tapped for carbon reinforced concrete. For this challenge, it is necessary to design a competitive value chain that allows the realization of marketable products in mass production on existing plant technology. The article gives a short overview of the economic and ecological status quo in the field of prefabricated construction with carbon concrete, using the example of the C3‐result building CUBE. In particular, the CUBE‐BOX, which is made of prefabricated and semi‐prefabricated parts, is examined in more detail and the carbon reinforced concrete components used are compared with classic reinforced concrete constructions in terms of sustainability. In this context, the conceivable global climate protection contribution of the carbon reinforced concrete construction method is forecast based on potential market segments.
Ligand‐Enabled [3+2] Annulation of Aromatic Acids with Maleimides by C(sp3)−H and C(sp2)−H Bond Activation
Authors: Naskar Gouranga , Jeganmohan Masilamani 
Published: May 2022

AbstractA palladium‐catalyzed [3+2] annulation of substituted benzoic acids with maleimides leading to tricyclic heterocyclic molecules having a free carboxylic group in a high atom‐ and step‐economical manner is described. The reaction proceeds via a dual C−H bond activation such as C(sp3)−H at the benzylic position and C(sp2)−H bond activation at the meta position of substituted aromatics. An external ligand (MPAA) is crucial for the success of present protocol. Further, the decarboxylation and esterification of the free carboxylic acid group of observed products were carried out.
Use of the Weibull model on sizing thickeners—Part II: Methods of thickener sizing
Authors: Ferreira Daniel José de Oliveira , Galery Roberto , Cardoso Marcelo , de Oliveira Idalmo Montenegro 
Published: May 2022

AbstractAmong several methods employed for sizing thickeners available in the literature, the Kynch, Biscaia Jr., Talmadge and Fitch, Roberts, Coe and Clevenger, and Oltmann methods use experimental data from sedimentation curves and graphical approaches. By using the Weibull distribution, it is possible to represent sedimentation curves with algebraic equations, which does not require the use of graphical approaches and provides more accuracy and speed for sizing calculations. In the present work, the main objective is the development of a set of equations for sizing continuous thickeners, for six conventional methods found in the literature, using the Weibull model. A comparative analysis of calculated and literature diameters for each graphical method presented variations between 0.73% and 8.93%. The use of the Weibull model presented the best accuracy for the Biscaia Jr. method, with a 0.73% average absolute error.
Text sentiment analysis on E‐shopping product reviews using chaotic coyote optimized deep belief network approach
Authors: Mohana R. S. , Rajathi K. , Kousalya K. , Yuvaraja T. 
Published: May 2022

AbstractText sentiment analysis is mainly used to the customers benefits. In the existing works, the text sentiment analysis faces more troubles such as, disambiguation (removing unwanted terms), discussions, contrast, intensity, and excessive flections and complex sound structure with less accuracy. In this article, the text sentiment analysis on E‐shopping product using chaotic coyote optimized deep belief network approach is proposed to minimize the troubles in the sentiment analysis and increase the accuracy. The other name of sentiment analysis is subjective analysis. The main objective of this article is “classify the text sentiments according to the polarity (positive and negative) and to increase the accuracy.” Here, the E‐shopping Kaggle datasets are preprocessed and the features are extracted. Then, the extracted features of the trained data's are given using deep belief network (DBN) classifier to get pure sentiments (positive or negative) with accuracy. Here, the performance metrics of the accuracy, recall, and precision, F‐measure, specificity, and sensitivity are calculated. The simulation process is executed in Python platform. The proposed chaotic coyote optimized deep belief network (CCO‐DBN) attains accuracy 9.8%, precision 17.2%, recall 5.61%, F‐measure 17.07%, specificity 2.247%, sensitivity 13.25% is higher than the existing methods such as FCM‐DFA, GA, SVM‐RFA.
Synthesis, Crystal Growth, and Characterization of a New Nonlinear Optical Crystal: EBQ‐T
Authors: Wang Guanjun , Wang Tianhua , Xu Kai , Chen Rui , Ma Jinkang , Yin Yanzhen , Cao Lifeng , Teng Bing 
Published: May 2022

AbstractA type of organic nonlinear optical (NLO) material EBQ‐T (2‐(4‐ethoxystyryl)‐1‐methyl‐quinolinium 4‐methylbenzenesulfonate) is synthesized, and the EBQ‐T crystal with a size of 11 × 5 × 2 mm3 is grown by the evaporation method in methanol. Single crystal X‐ray diffraction (XRD) analysis confirms that the EBQ‐T crystal belongs to the non‐centrosymmetric Cc space group, and the edge molecular orbital energy gap (HOMO‐LUMO) is calculated. Proton nuclear magnetic resonance (1H NMR) and fourier transform infra‐red (FT‐IR) tests further verify the crystal functional group. The crystal has a high second‐order nonlinear effect, and the second harmonic generation (SHG) efficiency is about 3 times that of the KDP crystal. The ultraviolet‐visible‐near infrared (UV–vis–NIR) absorption spectrum shows that the EBQ‐T crystal has good transmission performance, which can be up to 76%. Additionally, thermal stability and electrical properties of the EBQ‐T crystal are characterized.
Constructing Binder‐ and Carbon Additive‐Free Organosulfur Cathodes Based on Conducting Thiol‐Polymers through Electropolymerization for Lithium‐Sulfur Batteries
Authors: Ning Jiaoyi , Yu Hongtao , Mei Shilin , Schütze Yannik , Risse Sebastian , Kardjilov Nikolay , Hilger André , Manke Ingo , Bande Annika , Ruiz Victor G. , Dzubiella Joachim , Meng Hong , Lu Yan 
Published: May 2022

AbstractHerein, the concept of constructing binder‐ and carbon additive‐free organosulfur cathode was proved based on thiol‐containing conducting polymer poly(4‐(thiophene‐3‐yl) benzenethiol) (PTBT). The PTBT featured the polythiophene‐structure main chain as a highly conducting framework and the benzenethiol side chain to copolymerize with sulfur and form a crosslinked organosulfur polymer (namely S/PTBT). Meanwhile, it could be in‐situ deposited on the current collector by electro‐polymerization, making it a binder‐free and free‐standing cathode for Li‐S batteries. The S/PTBT cathode exhibited a reversible capacity of around 870 mAh g−1 at 0.1 C and improved cycling performance compared to the physically mixed cathode (namely S&PTBT). This multifunction cathode eliminated the influence of the additives (carbon/binder), making it suitable to be applied as a model electrode for operando analysis. Operando X‐ray imaging revealed the remarkable effect in the suppression of polysulfides shuttle via introducing covalent bonds, paving the way for the study of the intrinsic mechanisms in Li‐S batteries.
Large‐scale isolation of functional dermal papilla cells using novel surface marker LEPTIN Receptor
Authors: Gao Lipeng , Chen Eve Qian , Zhong Hong‐Bing , Xie Jing , Song Hong‐Zhi , Zhao Xu‐Bo , Lin Jin‐Ran , Liu Qingmei , Wang Shihua , Wu Wen‐Yu , Zhao Robert Chunhua , Liao Xin‐Hua 
Published: May 2022

AbstractDermal papilla (DP) cells regulate hair follicle epithelial cells and melanocytes by secreting functional factors, playing a key role in hair follicle morphogenesis and hair growth. DP cells can reconstitute new hair follicles and induce hair regeneration, providing a potential therapeutic strategy for treating hair loss. However, current methods for isolating DP cells are either inefficient (physical microdissection) or only applied to genetically labeled mice. We systematically screened for the surface proteins specifically expressed in skin DP using mRNA expression databases. We identified two antibodies against receptors LEPTIN Receptor (LEPR ) and Scavenger Receptor Class A Member 5 (SCARA5) which could specifically label and isolate DP cells by flow cytometry from mice back skin at the growth phase. The sorted LEPR+ cells maintained the DP characteristics after culturing in vitro, expressing DP marker alkaline phosphatase and functional factors including RSPO1/2 and EDN3, the three major DP secretory factors that regulate hair follicle epithelial cells and melanocytes. Furthermore, the low‐passage LEPR+ DP cells could reconstitute hair follicles on nude mice using chamber graft assay when combined with epithelial stem cells. The method of isolating functional DP cells we established here lays a solid foundation for developing DP cell‐based therapy.
The ADEBAR project: European and international provision of analytical data from structure elucidation and analytical characterization of NPS
Authors: Pulver Benedikt , Fischmann Svenja , Westphal Folker , Schönberger Torsten , Schäper Jan , Budach Dennis , Jacobsen‐Bauer Andrea , Dreiseitel Wolfgang , Zagermann Johannes , Damm Angela , Knecht Siegfried , Opatz Till , Auwärter Volker , Pütz Michael 
Published: May 2022

AbstractNovel substances for which none or limited analytical data are available constitute a challenge for police and customs forensic laboratories. The time‐consuming process of structural elucidation and acquisition of analytical data has been centralized in the ADEBAR project in Germany, co‐funded since 2017 by the EU's Internal Security Fund. The project aims to comprehensively characterize substances relevant for forensic‐toxicological casework within the analytical competence network. The analytical datasets are distributed digitally through European and (inter)national channels. Additionally, pharmacological evaluation allows for estimating in vivo potency and potential harm required as scientific evidence for legislative amendments. The ADEBAR project contributes to the availability of analytical data on new substances relevant to the daily work of police and customs laboratories. Since the inception of the ADEBAR project, 549 samples have been registered, and 302 substance reports notified to the EMCDDA, including numerous spectrometric and spectroscopic data. In addition, 3,619 mass spectra have been accumulated in ADEBAR mass spectra databases. A central institution for the structure elucidation and acquisition of valid, high‐quality analytical data for police and customs forensic laboratories and forensic medicine institutes is important in the future because there does not seem to be an end to the dynamic of novel NPS appearing on the drug market.
Analytical profile, in vitro metabolism and behavioral properties of the lysergamide 1P‐AL‐LAD
Authors: Brandt Simon D. , Kavanagh Pierce V. , Westphal Folker , Pulver Benedikt , Schwelm Hannes M. , Whitelock Kyla , Stratford Alexander , Auwärter Volker , Halberstadt Adam L. 
Published: May 2022

AbstractLysergic acid diethylamide (LSD) is known to induce powerful psychoactive effects in humans, which cemented its status as an important tool for clinical research. A range of analogues and derivatives has been investigated over the years, including those classified as new psychoactive substances. This study presents the characterization of the novel lysergamide N,N‐diethyl‐1‐propanoyl‐6‐(prop‐2‐en‐1‐yl)‐9,10‐didehydroergoline‐8β‐carboxamide (1P‐AL‐LAD) using various mass spectrometric, gas‐ and liquid chromatographic and spectroscopic methods. In vitro metabolism studies using pooled human liver microsomes (pHLM) confirmed that 1P‐AL‐LAD converted to AL‐LAD as the most abundant metabolite consistent with the hypothesis that 1P‐AL‐LAD may act as a prodrug. Fourteen metabolites were detected in total; metabolic reactions included hydroxylation of the core lysergamide ring structure or the N6‐allyl group, formation of dihydrodiol metabolites, N‐dealkylation, N1‐deacylation, dehydrogenation, and combinations thereof. The in vivo behavioral activity of 1P‐AL‐LAD was evaluated using the mouse head twitch response (HTR), a 5‐HT2A‐mediated head movement that serves as a behavioral proxy in rodents for human hallucinogenic effects. 1P‐AL‐LAD induced a dose‐dependent increase in HTR counts with an inverted U‐shaped dose–response function, similar to lysergic acid diethylamide (LSD), psilocybin, and other psychedelics. Following intraperitoneal injection, the median effective dose (ED50) for 1P‐AL‐LAD was 491 nmol/kg, making it almost three times less potent than AL‐LAD (174.9 nmol/kg). Previous studies have shown that N1‐substitution disrupts the ability of lysergamides to activate the 5‐HT2A receptor; based on the in vitro metabolism data, 1P‐AL‐LAD may induce the HTR because it acts as a prodrug and is metabolized to AL‐LAD after administration to mice.
Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States
Authors: Dettmann Garret T. , MacFarlane David W. , Radtke Philip J. , Weiskittel Aaron R. , Affleck David L. R. , Poudel Krishna P. , Westfall James 
Published: May 2022

AbstractEstimating tree leaf biomass can be challenging in applications where predictions for multiple tree species is required. This is especially evident where there is limited or no data available for some of the species of interest. Here we use an extensive national database of observations (61 species, 3628 trees) and formulate models of varying complexity, ranging from a simple model with diameter at breast height (DBH) as the only predictor to more complex models with up to 8 predictors (DBH, leaf longevity, live crown ratio, wood specific gravity, shade tolerance, mean annual temperature, and mean annual precipitation), to estimate tree leaf biomass for any species across the continental United States. The most complex with all eight predictors was the best and explained 74%–86% of the variation in leaf mass. Consideration was given to the difficulty of measuring all of these predictor variables for model application, but many are easily obtained or already widely collected. Because most of the model variables are independent of species and key species‐level variables are available from published values, our results show that leaf biomass can be estimated for new species not included in the data used to fit the model. The latter assertion was evaluated using a novel “leave‐one‐species‐out” cross‐validation approach, which showed that our chosen model performs similarly for species used to calibrate the model, as well as those not used to develop it. The models exhibited a strong bias toward overestimation for a relatively small subset of the trees. Despite these limitations, the models presented here can provide leaf biomass estimates for multiple species over large spatial scales and can be applied to new species or species with limited leaf biomass data available.