bluuebunny/crossref_metadata_2025_split huggingface dataset:
Problems, principles and progress in computational annotation of NMR metabolomics data
Authors: Judge Michael T. , Ebbels Timothy M. D. 
Published: December 2022

Abstract
Background
Compound identification remains a critical bottleneck in the process of exploiting Nuclear Magnetic Resonance (NMR) metabolomics data, especially for 1H 1-dimensional (1H 1D) data. As databases of reference compound spectra have grown, workflows have evolved to rely heavily on their search functions to facilitate this process by generating lists of potential metabolites found in complex mixture data, facilitating annotation and identification. However, approaches for validating and communicating annotations are most often guided by expert knowledge, and therefore are highly variable despite repeated efforts to align practices and define community standards.

Aim of review
This review is aimed at broadening the application of automated annotation tools by discussing the key ideas of spectral matching and beginning to describe a set of terms to classify this information, thus advancing standards for communicating annotation confidence. Additionally, we hope that this review will facilitate the growing collaboration between chemical data scientists, software developers and the NMR metabolomics community aiding development of long-term software solutions.

Key scientific concepts of review
We begin with a brief discussion of the typical untargeted NMR identification workflow. We differentiate between annotation (hypothesis generation, filtering), and identification (hypothesis testing, verification), and note the utility of different NMR data features for annotation. We then touch on three parts of annotation: (1) generation of queries, (2) matching queries to reference data, and (3) scoring and confidence estimation of potential matches for verification. In doing so, we highlight existing approaches to automated and semi-automated annotation from the perspective of the structural information they utilize, as well as how this information can be represented computationally.
Wie Entwicklungs- und Implementierungsprozesse gelingen können
Authors: Hochuli Freund Ursula , Gebert Jakin , Sprenger Raphaela , Amez-Droz Pascal , Hübscher Robin , Grumbinaite Indre 
Published: December 2022

ZusammenfassungDer Beitrag geht der Frage nach, wie Entwicklungs- und Implementierungsprozesse in der Sozialen Arbeit verlaufen und welche Aspekte für das Gelingen dieser Prozesse zu berücksichtigen sind. Wir stellen die wichtigsten Ergebnisse eines kooperativ angelegten Forschungs- und Entwicklungsprojekts vor und diskutieren diese vor dem Hintergrund des aktuellen Wissensstandes. Dies ist die Basis für ein neues, integriertes Phasenmodell für Entwicklungs- und Implementierungsprozesse in psychosozialen Arbeitsfeldern; demnach sind Veränderungsprozesse deutlich langfristiger zu konzipieren und Entwicklung und Implementierung stärker miteinander zu verschränken.
Development of deep neural network model to predict the compressive strength of FRCM confined columns
Authors: Le-Nguyen Khuong , Minh Quyen Cao , Ahmad Afaq , Ho Lanh Si 
Published: December 2022

AbstractThe present study describes a reliability analysis of the strength model for predicting concrete columns confinement influence with Fabric-Reinforced Cementitious Matrix (FRCM). through both physical models and Deep Neural Network model (artificial neural network (ANN) with double and triple hidden layers). The database of 330 samples collected for the training model contains many important parameters, i.e., section type (circle or square), corner radius rc, unconfined concrete strength fco, thickness nt, the elastic modulus of fiber Ef, the elastic modulus of mortar Em. The results revealed that the proposed ANN models well predicted the compressive strength of FRCM with high prediction accuracy. The ANN model with double hidden layers (APDL-1) was shown to be the best to predict the compressive strength of FRCM confined columns compared with the ACI design code and five physical models. Furthermore, the results also reveal that the unconfined compressive strength of concrete, type of fiber mesh for FRCM, type of section, and the corner radius ratio, are the most significant input variables in the efficiency of FRCM confinement prediction. The performance of the proposed ANN models (including double and triple hidden layers) had high precision with R higher than 0.93 and RMSE smaller than 0.13, as compared with other models from the literature available.
Sustainable thin-wall machining: holistic analysis considering the energy efficiency, productivity, and product quality
Authors: Bolar Gururaj , Joshi Shrikrishna N. , Das Sanghamitra 
Published: December 2022

AbstractEnhanced energy efficiency, product quality, and productivity have become crucial requirements in thin-wall machining. Therefore, the work examined the impact of axial depth of cut, radial depth of cut, feed per tooth, and tool diameter on three performance measures. Full factorial was used to design experiments, and Analysis of Variance (ANOVA), a statistical method, was employed to analyze and interpret the influence of process variables on the machining performance. Additionally, Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) was adopted to arrive at the Pareto-optimal solutions to evaluate the trade-off between the three performance measures. The optimized process parameters for roughing operation helped maximize the process productivity at the expense of product quality. In contrast, the Pareto solutions for finishing operation effectively improved energy efficiency and produced quality open straight and curved thin-wall parts. Improved surface finish with minimal deflection can be achieved by milling with a cutter of diameter 8 mm and maintaining the feed, axial, and radial depth at 0.02 mm/z, 8 mm, and 0.3125 mm, respectively. The proposed findings can provide effective solutions for machining open straight and curved thin-wall parts with improved productivity, product quality, and energy efficiency.
Geological studies and engineering applications of some Middle Eocene carbonate rocks in East The Minia Area, Egypt
Authors: Moftah Hussein , Hassan Hossameldin , Moustafa Alaa , Mohamed Atef , A M Ali Mahrous , Abdellah Wael R. 
Published: December 2022

AbstractCarbonate rocks from the Minia, Samalut, Maghagha, and Qarara localities were collected for geological and engineering research. The purpose of this study is to determine the suitability of these rocks for exploitation in the construction, aggregate, and chemical fields. The petrography, physical, and mechanical analyses show that the rock has the most suitable qualities for many uses in structural engineering fields and chemical plants. Samalut Formation carbonates are exceptionally pure. As a result, they are suitable for paper, paint, and other chemical industries, whereas carbonates from the Minia Formation are suitable for paint, cement, and building. Additionally, the Maghagha and Qarara Formations are appropriate for construction.
Enhancement of MF R-Mode ranging accuracy by exploiting measurement-based error mitigation techniques
Authors: Rizzi Filippo Giacomo , Hehenkamp Niklas , Grundhöfer Lars , Gewies Stefan 
Published: December 2022

AbstractNowadays, the maritime sector strongly relies on global navigation satellite systems (GNSS) for the provision of position, navigation, and timing (PNT) information. The standard functionality of several ships’ bridge instruments depends on such information, which becomes critical to have a safe and reliable navigation. Nevertheless, the possibility of GNSS outages combined with unintentional and intentional interference to GNSS signals, which have been increasing over the last years, can severely threaten the nominal activity of the crew onboard of vessels. For these reasons, alternative position, navigation, and timing (APNT) systems become fundamental in order to provide operational continuity. R(anging)-Mode is a terrestrial alternative system to GNSS for the maritime domain. In one of its possible implementation, it exploits synchronized medium frequency (MF) signals transmitted by maritime radio beacons. In the MF band, the radio waves are attenuated and distorted by the change of electrical properties of the ground along the propagation path. Moreover, these signals are affected by terrain elevation changes and large metallic infrastructures which induce an overall loss in the accuracy of the system. In this paper, we propose a mitigation technique based on the estimation of these additional error sources by using in-field range measurements. The theoretical details are explained in depth and the technique is validated with real data gathered on a measurement campaign. A clear and significant performance improvement is achieved on the range accuracy when the proposed approach is applied.
Algal biomass dual roles in phycoremediation of wastewater and production of bioenergy and value-added products
Authors: Razaviarani V. , Arab G. , Lerdwanawattana N. , Gadia Y. 
Published: December 2022

AbstractAlgal biomass has been gaining attention over the last decades as it is versatile and can be used in different industries, such as wastewater treatment and bioenergy industries. Microalgae are mixotrophic microorganisms that have potential to utilize nitrogen and phosphate (nutrients) and remove organic matters from wastewater streams. Phycoremediation is an intriguing and cost-efficient technique to simultaneously remove heavy metals from wastewater while removing nutrients and organic matters. The cultivated and produced algal biomass can be a promising candidate and a sustainable feedstock to produce biofuels (e.g., biodiesel, bio-alcohol, and bio-oil) and value-added products such as biochar, glycerol, functional food, and pigments. The algae suspended cultivation systems, WSP and HRAP, are efficient methods for the wastewater treatment in shallow ponds with no mechanical aeration and less required energy consumption, but when a short HRT and minimum evaporation losses are key points in the algal cultivation the PBRs are recommended. It was reported that biosorption and bioaccumulation are the two promising techniques of phycoremediation. Studies showed that among the current processes of algal biomass conversion to biofuels, transesterification of algal lipids and pyrolysis of algal biomass were found to be the most efficient techniques. This review paper investigates the applications of algal biomass in the phycoremediation of wastewater, productions of bioenergy and value-added products by reviewing articles mainly published over the last five years.Graphical abstract
Dragon boat culture in Chebei: a case study of narratives of cultural memory in short videos
Authors: Chen Xi , Xian Yingyi 
Published: December 2022

AbstractChebei Village in Guangzhou is home to the Chebei dragon boat culture, which is an important kind of intangible cultural heritage in China. The cultural attributes and spirit that it contains are essentially cultural memory. Given the rapid development of contemporary technology and the proliferation of new entertainment possibilities, it is imperative that intangible cultural heritage be passed down and developed. By providing a way to preserve the visual and aural memories related to the Chebei dragon boat culture, media can be used to communicate and save cultural memories. In particular, media facilitate memory reconstruction by capturing both the transmission and retention of memories as well as the interactions of villagers of all ages from various households. Furthermore, the bounds of space and time in the offline world can be overcome through new media. Watching short videos on new media platforms allows people who live in or are originally from Chebei to recall, preserve, share, and convey memories from different generations whenever and wherever they are, potentially fostering a milieu of cultural sustainability and spreadability.
Surrogate-assisted evolutionary neural architecture search with network embedding
Authors: Fan Liang , Wang Handing 
Published: December 2022

AbstractTo accelerate the performance estimation in neural architecture search, recently proposed algorithms adopt surrogate models to predict the performance of neural architectures instead of training the network from scratch. However, it is time-consuming to collect sufficient labeled architectures for surrogate model training. To enhance the capability of surrogate models using a small amount of training data, we propose a surrogate-assisted evolutionary algorithm with network embedding for neural architecture search (SAENAS-NE). Here, an unsupervised learning method is used to generate meaningful representation of each architecture and the architectures with more similar structures are closer in the embedding space, which considerably benefits the training of surrogate models. In addition, a new environmental selection based on a reference population is designed to keep diversity of the population in each generation and an infill criterion for handling the trade-off between convergence and model uncertainty is proposed for re-evaluation. Experimental results on three different NASBench and DARTS search space illustrate that network embedding makes the surrogate model achieve comparable or superior performance. The superiority of our proposed method SAENAS-NE over other state-of-the-art neural architecture algorithm has been verified in the experiments.
A Note on R&D Innovation with Socially Responsible Firms
Authors: Buccella Domenico , Fanti Luciano , Gori Luca 
Published: December 2022

AbstractThis work revisits the R&D duopoly à la (d’Aspremont and Jacquemin, Am Econ Rev 78:1133–1137, 1988, d’Aspremont and Jacquemin, Am Econ Rev 80:641–642, 1990) (AJ henceforth) considering an economy with firms engaged in corporate social responsibility (CSR). In the traditional AJ setting without spill-over effects, firms invest in R&D as a sub-game perfect Nash equilibrium (SPNE) strategy, but they are cast into a prisoner’s dilemma. Socially responsible firms can get the same SPNE result. Preliminarily, we show that the level of firms’ social concern has a positive effect on the R&D investment. Unlike the basic framework, however, if the consumer welfare weights enough in each firm’s objective, investing in R&D becomes a firm’s utility-enhancing strategy also without R&D spillovers: the prisoner’s dilemma vanishes, and the R&D investment-decision game with CSR turns out to be an anti-prisoner’s dilemma, in which investing in R&D is the firm’s Pareto-efficient choice. Then, if firms are CSR-oriented, investing in R&D becomes a Pareto-superior outcome for society (with or without R&D spillovers). The article also shows that R&D subsidies can be used as a welfare-maximising tool.
Beyond Traditional TOD: Integrating Multiuse Paths and Bike Share into Public Transit to Address the First/Last Mile Issue
Authors: Rogers William P. , Chen Na , Looye Johanna W. 
Published: December 2022

AbstractTransit-oriented development (TOD) has been promoted worldwide as an integrated land-use and transportation strategy to foster urban sustainability. Bike share provides people with a convenient and relatively affordable way to enlarge the spatial scale of TODs across urban communities, as a solution to the first/last mile (FLM) issue with respect to the transit nodes of TODs. Even though barriers to FLM have been frequently studied, few studies incorporate people’s perceptions of their barriers and/or the integration of multiuse paths (MUPs) into the network of bike share and public transit. Using a survey conducted in the Greater Cincinnati area, Ohio, this study aimed to answer the following questions: (1) What are people's major barriers to integrating different green transportation modes and/or facilities (bike share, MUPs, public transit)? (2) To what extent does the built environment around people’s residential location affect their integration level of MUPs, bike share, and public transit? (3) Which improvements would most likely encourage people to integrate them more often? With descriptive statistics, spatial analysis, and statistical comparison, we found that (1) the major barrier to integrating MUPs into the green transportation system was their lack of connection and availability to transit and bike share; (2) a person’s living environment is spatially related to whether a person integrates bike share; and (3) more respondents would use MUPs more often if an integrated green transportation system could be provided or improved. These findings suggest the potential of incorporating MUPs and bike share into TOD strategies to address the FLM issue.
Haredi Fundamentalism in the State of Israel
Authors: Dödtmann Eik 
Published: December 2022

Abstract
Since its establishment in 1948, the State of Israel, which defines itself as Jewish-nation state, has been providing Haredi Jewry, also known as ultra-Orthodoxy, with a vast autonomy in education, enabling the development of a Jewish “Society of Learning Men.”
This goes back to the Status quo regulations, which blocks the separation of state and religion in the country. In this framework, Haredi Jewry, which was nearly extinct after the Shoah, has developed into a striving and confident fundamentalist religious Jewish movement. At the same time, it has become the demographically most dynamic Jewish current. The influence of Haredi Jewry in Israel is crucial, for its leadership and its members do consider their isolationist, counter-acculturative, anti-modern moulding as the only authentic and “pure” form of Judaism, and they actively combat liberal Jewish interpretations or denominations.
In this paper, a discussion about the definition of Haredism as fundamentalism will be provided. Furthermore, it will be argued that through the basic requirement of the Status quo between State and Jewish (orthodox) religion, the Haredi society’s attempt to organize itself as a cultural and communal autonomy has been highly successful also against the background of the societal restrictions of this effort given the dependant relationship that has developed between the Haredi community and general Israeli society. As illustrations for this case study, the educational autonomy, the Haredi judicial power over Jewish and non-Jewish citizens and the struggle over the Shabbat regulations will be examined.
Einleitung Sonderheft ZRGP zum Religionsmonitor 2017
Authors: El-Menouar Yasemin , Pickel Gert 
Published: December 2022

ZusammenfassungReligion ist in Europa trotz aller nicht abstreitbarer Säkularisierungsbewegungen nicht verschwunden. Ein Grund hierfür ist die religiöse Pluralisierung, aber auch eine verstärkte öffentliche Diskussion um Religion. Der Religionsmonitor bietet bereits seit 2008 belastbare empirische Daten zur religiösen Entwicklung in Deutschland und Europa an. In der vorliegenden Special Section, deren Einleitung dieser Text ist, werden die religiösen Entwicklungen in Deutschland, Österreich, der Schweiz und auch im innereuropäischen Vergleich mit Daten des Religionsmonitors 2017 analysiert. Im Ergebnis finden sich Unterschiede, aber auch große Gemeinsamkeiten zwischen den Ländern. So fällt vor allem die noch immer große soziale Distanz zum Muslimen genauso auf, wie die zunehmende Normalität von Religionslosigkeit. Gleichzeitig ist die religiöse Landschaft in allen Untersuchungsländern bunter geworden.
Effects of Out-of-School STEM Learning Environments on Student Interest: a Critical Systematic Literature Review
Authors: Neher-Asylbekov Simone , Wagner Ingo 
Published: December 2022

AbstractInquiry-based out-of-school STEM learning environments, such as offerings from science centers, museums, and out-of-school laboratories, serve as an enrichment to classroom education in many countries. As there is an increasing number of such STEM learning environments in Germany and some other countries and a growing body of research worldwide, it is important to analyze their effects. In this context, student interest is a critical factor in determining the effectiveness of such learning opportunities and the quality of the educational outcomes achieved. Therefore, based on an international comprehensive, systematic literature review of 30 out of 1657 identified studies, various influencing factors that support or hinder interest development are highlighted. Results show that active participation, hands-on activities, and preparation for the visit have strong beneficial effects on interest experience. Out-of-school STEM learning environments are especially suitable for students with little prior knowledge, and they tend to promote interest in areas that are often relatively unpopular among adolescents, depending on their age and gender. The findings also highlight research deficits, particularly with respect to well-defined constructs of interest, and point to useful criteria that informal out-of-school learning environments can apply to promote various forms of interest and thus improve educational programs.
Thermal and ultrasound foam control in biotechnology: a mini-review
Authors: Khan Shahin Shah , Ullah Irfan , Wang Qingyun , Xu Haijun , Tiso Till , Blank Lars M. , Liu Luo 
Published: December 2022

AbstractGas, which is trapped in either solid or liquid pockets, results in foam formation. Foam formation is common in many industries, i.e., in detergents, food and beverage, cosmetics, and fire-fighting. Foam formation in excess causes biotechnology fermentation instabilities, including material loss and the danger of contaminating the fermentation and the environment. Many foam-controlling measures have been reported, including thermal, enzymatic, mechanical, ultrasound pretreatments, steam explosion, reducing digester mixing, and surface sludge spray. Using antifoaming agents for foam control in fermentation is the most common method, sometimes supported by mechanical foam breakers. However, antifoam can be costly and can complicate product purification. Indeed, effective foam control can significantly impact the economics of the whole process. This mini-review summarizes some unconventional foam destruction techniques, including their various challenges.
Phenols, antioxidant and anticancer properties of Tagetes minuta, Euphorbia granulata and Galinsoga parviflora: in vitro and in silico evaluation
Authors: Al-Robai Sami A. , Ahmed Abdelazim A. , Ahmed Aimun A. E. , Zabin Sami A. , Mohamed Haidar A. , Alghamdi Abdullah A. A. 
Published: December 2022

AbstractThis work aimed at assessing the phenolic content, antioxidant and cytotoxicity capacities of methanol extracts obtained fromTagetes minuta,Euphorbia granulataandGalinsoga parvifloramedicinal plants. Standard spectrophotometric and chromatographic methods were used for chemical analysis. Established antioxidant and cytotoxicity assays were adopted for biological activity assessment. In silico screening for the individual phenolic acids was performed using molecular docking techniques.E. granulatashowed a significantly high level of polyphenols. Highest level of flavonoid and tannin contents were detected inGalinsoga parviflora. Ten phenolic acids were identified and quantified via GC–MS in all extracts, and p-Hydroxybenzoic was the most dominant acid (70 µg/g) inT. minutawhile gallic was the predominant acid (73 µg/g) inE. granulata. Extracts showed higher reactive oxygen and nitrogen species scavenging activities and exhibited lower hydrogen peroxide inhibition values. The strongest cytotoxic activity was exhibited byT. minutaextract on A2780 cell line. The cytotoxic activity ofG. parvifloraextract was highly significant against all cancer cells. Extract ofE. granulatashowed best activity towards MCF7 and A2780 cell lines and was less active against HT29 cell line. In silico data revealed that caffeic acid had the lowest value of binding energy and high ligand efficiency ratios against the selected target receptors, comparable to the standards. Methanol extracts of the targeted plants showed promising antioxidant and anticancer activities which could be attributed to presence of different phenolic phytochemicals. Further work is required for determining the active compounds and their mode of action.