bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rereading Durkheim in light of Jewish law: how a traditional rabbinic thought-model shapes his scholarship
Authors: Winfield Taylor Paige 
Published: June 2020

AbstractWhen studying the work of Émile Durkheim, scholars must consider how his intellectual development in a traditional Jewish environment contributed to and informed his ideas. This article details how Durkheim’s upbringing endowed him with a traditional rabbinic thought-model. The author analyzes five of Durkheim’s major works to argue that the system of classification, language, and style of argument Durkheim used to define concepts in his scholarship mirror streams of rabbinic thought. The article builds off the sociology of knowledge to illuminate how Durkheim employed his codified knowledge of biblical texts and modern Jews to bolster his arguments, and reveals the subtler ways he demonstrates his tacit knowledge of the texts and argument styles. The article ends with an exploration of how conceptual frameworks from the sociology of knowledge may be applied to other leading sociological thinkers—how the modes of thinking instilled during formative years may orient scholarship and the benefits and limitations of this approach.
Trust in the investor relationship marketing of startups: a systematic literature review and research agenda
Authors: Kaiser Manuel , Berger Elisabeth S. C. 
Published: June 2020

AbstractAn important task of entrepreneurs is the management of investor relations. Past literature has emphasized the role of trust for managing relationships and regulating their quality. However, the landscape of investors has changed due to digitalization, so that new players have joined and expanded the investor offer. Entrepreneurs also often enter into relationships with multiple investors, which can challenge investor relationship marketing. To provide an overview, we conduct a structured literature review on the entrepreneur’s relationship marketing with four key investors: venture capitalists (VCs), business angels (BAs), banks, and crowd funders. The paper improves the understanding of trust as a concept in the management of investor relations and identifies directions for future research. The results show that research has predominantly studied trust in the VC–entrepreneur relationship. Across different investors, the primary focus has been on factors that influence trust building, especially investor communication and entrepreneur–investor fit. Furthermore, the results show that trust has an influence on cooperation by strengthening the relationship and reducing risk.
Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime
Authors: Jain Kartik 
Published: June 2020

AbstractFlows through medical devices as well as in anatomical vessels despite being at moderate Reynolds number may exhibit transitional or even turbulent character. In order to validate numerical methods and codes used for biomedical flow computations, the US Food and Drug Administration (FDA) established an experimental benchmark, which was a pipe with gradual contraction and sudden expansion representing a nozzle. The experimental results for various Reynolds numbers ranging from 500 to 6500 were publicly released. Previous and recent computational investigations of flow in the FDA nozzle found limitations in various CFD approaches and some even questioned the adequacy of the benchmark itself. This communication reports the results of a lattice Boltzmann method (LBM) – based direct numerical simulation (DNS) approach applied to the FDA nozzle benchmark for transitional cases of Reynolds numbers 2000 and 3500. The goal is to evaluate if a simpleoff the shelfLBM would predict the experimental results without the use of complex models or synthetic turbulence at the inflow. LBM computations with various spatial and temporal resolutions are performed—in the extremities of 45 million to 2.88 billion lattice cells—executed respectively on 32 CPU cores of a desktop to more than 300,000 cores of a modern supercomputer to explore and characterize miniscule flow details and quantify Kolmogorov scales. The LBM simulations transition to turbulence at a Reynolds number 2000 like the FDA’s experiments and acceptable agreement injet breakdown locations, average velocity, shear stress, andpressureis found for both the Reynolds numbers.
Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints
Authors: Altenmüller Thomas , Stüker Tillmann , Waschneck Bernd , Kuhnle Andreas , Lanza Gisela 
Published: June 2020

AbstractReinforcement learning (RL) offers promising opportunities to handle the ever-increasing complexity in managing modern production systems. We apply a Q-learning algorithm in combination with a process-based discrete-event simulation in order to train a self-learning, intelligent, and autonomous agent for the decision problem of order dispatching in a complex job shop with strict time constraints. For the first time, we combine RL in production control with strict time constraints. The simulation represents the characteristics of complex job shops typically found in semiconductor manufacturing. A real-world use case from a wafer fab is addressed with a developed and implemented framework. The performance of an RL approach and benchmark heuristics are compared. It is shown that RL can be successfully applied to manage order dispatching in a complex environment including time constraints. An RL-agent with a gain function rewarding the selection of the least critical order with respect to time-constraints beats heuristic rules strictly by picking the most critical lot first. Hence, this work demonstrates that a self-learning agent can successfully manage time constraints with the agent performing better than the traditional benchmark, a time-constraint heuristic combining due date deviations and a classical first-in-first-out approach.
Modelling of selected hydrodynamic and hydrochemical parameters of a geothermal water system: an example of Cieplice therapeutic waters
Authors: Liber-Makowska Elżbieta , Kiełczawa Barbara 
Published: June 2020

AbstractArticle presents results of long-period observations made in the most interesting and perspective geothermal area of Poland. Moreover, Cieplice is one of the oldest spa resort in Poland where thermal waters are used for treating purposes for centuries. That is the only one region in Poland with geothermal waters in granitic rocks and this can be interesting for international readers. The region of Jelenia Góra-Cieplice has been considered a prospective area of geothermal water occurrence for many years. The earliest evidence of balneological use of these waters dates from the thirteenth century. Currently, they are being used for therapeutic purposes, and since 2014 also for recreation. The character of changes in intake discharge, water temperature and wellhead pressure observed in 1956–2019, as well as calculations of specific values (the mean, the minimum, the maximum and the standard deviation) have demonstrated considerable diversity and significant variation in these operating parameters. The main cause of changes in these parameters is changing intake operation conditions. Currently, thermal waters are being extracted chiefly from the deepened borehole C-1. Increased extraction from this intake has resulted in decreases in the temperature of thermal water from springs and borehole C-2 and a decline in their discharge or even the disappearance of their outflow. The exploitation of borehole C-1 in such conditions has also caused a drop in water pressure at its head (from 0.49 to 0.34 MPa) accompanied by an increase in water temperature (from 58 to 82 °C). The increase in water temperature is indicative of the presence of deep circulation waters in this intake. Based on the results of long-term (1963–2018) physico-chemical analyses of waters from particular intakes and deep boreholes, dominant chemical types have been distinguished: Na-HCO3–SO4 and Na–SO4–HCO3, containing fluorides and silica. By using chemical geothermometers, deposit temperatures of Cieplice thermal waters have been estimated (111–138 °C). The obtained results were verified by analysing the degree of saturation of these waters with selected rock-forming minerals by means of GeoT application. The deposit temperature estimated by modelling is c. 123 °C.
An assessment of the contribution of air pollution to the weathering of limestone heritage in Malta
Authors: Grøntoft Terje , Cassar JoAnn 
Published: June 2020

AbstractMalta is known for its limestone megalithic temples of which many are inscribed on the UNESCO World Heritage List. A variation of this limestone was historically, and until very few years ago, a primary building material in Malta. The temples are subject to various environmental influences which until recently have led to several collapses due in part to serious stone surface and infill loss. As a protection measure, open-sided shelters have been built over three of these temples. This work assesses the degrading influence of air pollution (nitrogen dioxide, ozone, particle matter, sulfur dioxide, and acidity in rain) on the temples, in combination and comparison with the influence of other environmental factors (relative humidity, temperature, precipitation, moisture, sea salt, wind) and in this respect evaluates the potential protective effect of the shelters. The variation in air pollution weathering of limestone exposed outdoor in Malta was calculated by exposure–response functions from the ICP-materials programme and compared with measured values, and its contribution to the deterioration of the temples was evaluated. The difference between urban and rural locations in Malta, in the first year of atmospheric chemical weathering of limestone due to air pollution, was found to be about one micrometer loss of stone surface. This is probably less than the annual variations due to the influence of natural climatic factors, and small compared to the present annual variations in continental Europe. The deposition of sea salt and presence of salts on and in the limestone megaliths and changes in salt-crystallization events due to relative humidity fluctuations, inside and outside the shelters, will account for more of the variations in the first year of weathering of Globigerina limestone than variations in air pollution. The deterioration will also be related to temperature (including condensation events), wind parameters and rainfall, as well as ground water replenished from areas beyond the shelter.
Utility of angiography–physiology coregistration maps during percutaneous coronary intervention in clinical practice
Authors: Matsuo Akiko , Kasahara Takeru , Ariyoshi Makoto , Irie Daisuke , Isodono Koji , Tsubakimoto Yoshinori , Sakatani Tomohiko , Inoue Keiji , Fujita Hiroshi 
Published: June 2020

AbstractThis study aimed to evaluate the utility and feasibility of physiological maps coregistered with angiograms using the pullback of a pressure guidewire with continuous instantaneous wave-free ratio (iFR) measurements. iFR pullback was obtained for 70 lesions from 70 patients with stable angina pectoris using SyncVision (Philips Corp.). Physiological maps were created, whereby the post-intervention iFR (post-iFR) was predicted as iFRpred. The iFR gap was defined if the difference between the iFRpred and post-iFR was ≥ 0.3. The lesion morphology changed from that during the physiological assessment to that during the angiographic assessment in 26 lesions (37.1%). In particular, 22.6% of angiographic tandem lesions changed to physiological focal lesions. The mean pre-intervention iFR, post-iFR, and iFRpred were 0.73 ± 0.17, 0.90 ± 0.06, and 0.93 ± 0.05, respectively. The mean difference between the iFRpred and post-iFR was 0.029 ± 0.099, with 95% limits of agreement of -0.070–0.128. iFR gaps occurred in 28 patients (40%). Notably, a new iFR gradient causing a ≥ 0.03 iFR drop after stenting occurred in 11 (15.7%) cases. The study patients were divided into two groups according to biases between post-iFR and iFRpred < 0.03 (good concordance group) or ≥ 0.03 (poor concordance group). The pre-intervention heart rate was the only independent predictor of poor concordance (odds ratio, 0.936; 95% confidence interval 0.883–0.992; p = 0.027). Physiological maps under resting conditions may contribute to a reduction in unnecessary stent placements without missing lesions requiring treatment. However, the predictive accuracy of post-iFR performance in the present study was slightly lower than that in the previous reports.
Distributed fiber optic sensing along driven ductile piles: Design, sensor installation and monitoring benefits
Authors: Monsberger Christoph M. , Lienhart Werner , Hayden Martin 
Published: June 2020

AbstractEfficient and economic foundations are essential to ensure the long-term integrity of structures. Driven ductile piles offer a safe and quick solution for foundations, which can be individually customized to changing soil conditions. Geotechnical load tests on a small subset of piles can be performed at large construction sites to examine the bearing capacity for optimization purposes. Arising deformations during these statical tests are usually measured using electrical sensors at the top, which, however, do not deliver information about the stress distribution along the pile. This paper presents a fiber optic monitoring approach, which provides distributed strain profiles with a spatial resolution of up to 10 mm along driven ductile piles. The high measurement resolution of about $$1~{\mu}m/m$$

1

μ
m
/
m

enables the detection of local effects in the load transfer from the pile to the surrounding grout and soil. The critical sensor installation on-site as well as results of various field applications with pile lengths of up to 25 m are presented. Verification measurements at the pile’s head and internal measurements of strain gauges prove the suitability of the developed monitoring approach and demonstrate the high potential of distributed fiber optic sensing for applications in soil mechanics.
Screening for insecticidal efficacy of two Algerian essential oils with special concern to their impact on biological parameters of Ephestia kuehniella (Zeller) (Lepidoptera: Pyralidae)
Authors: Aouadi Ghozlene , Haouel Soumaya , Soltani Abir , Ben Abada Maha , Boushih Emna , Elkahoui Salem , Taibi Faiza , Mediouni Ben Jemâa Jouda , Bennadja Salima 
Published: June 2020

AbstractChemical composition of Algerian Mentha rotundifolia and Myrtus communis essential oils, their insecticidal activities and their impact on some biological parameters of the Mediterranean flour moth Ephestia kuehniella were assessed. Results showed that M. rotundifolia essential oil contained piperitenone oxide (46.06%), d-limonene (9.10%), cis-piperitone oxide (6.81%), and endo-borneol (4.64%) as major compounds, while M. communis oil was rich in α-pinene (29.08%), 1,8-cineole (36.82%), α-terpineol (6.42%), geranyl acetate (4.38%), and β-linalool (4.04%). The fumigant potential and contact toxicity tests against E. kuehniella demonstrated the effectiveness of M. rotundifolia essential oil (LC50 = 0.54 μL/L air, LC50 = 0.004 μL/cm2) compared to M. communis oil (LC50 = 2.91 μL/L air, LC50 = 0.025 μL/cm2). Moreover, results revealed that all biological parameters were significantly affected (fecundity: 6 eggs/female, oviposition deterrence: 96.62%, log fertility: 0, hatching rate: 0%, copulation rate: 0% for M. rotundifolia oil against fecundity: 93 eggs/female, percentage of oviposition deterrence: 47.85%, log fertility: 6.7, hatching rate: 57%, copulation rate: 53.33% for M. communis oil). This work supports the use of botanical insecticide as active pest control agents under storage conditions.
Besteht ein Zusammenhang zwischen der Gender-Diversity und Überwachungseffektivität des Aufsichtsrats? Eine empirische Analyse deutscher börsennotierter Unternehmen
Authors: Handschumacher Franziska , Ceschinski Willi 
Published: June 2020

ZusammenfassungVor dem Hintergrund gesetzlicher Novellierungen und des gesellschaftlichen Rufs nach mehr geschlechterspezifischer Gleichberechtigung untersucht der vorliegende Beitrag den Zusammenhang zwischen der Gender-Diversity im Aufsichtsrat und seiner Überwachungseffektivität. Auf Grundlage der Agency Theorie und der Resource Dependence Theorie sowie anhand mehrerer unternehmensfixen Panelregressionen testen wir die vorstehende Verbindung. Der zugrundeliegende Paneldatensatz umfasst ca. 1500 Aufsichtsräte von 132 Unternehmen, die in den Jahren 2015–2017 im HDAX und SDAX gelistet waren (396 Unternehmensjahre). Gender-Diversity wird durch verschiedene Diversitäts-Kennzahlen gemessen und Überwachungseffektivität mittels übermäßiger Vorstandsvergütung operationalisiert. Die Ergebnisse deuten darauf hin, dass eine höhere Repräsentanz von Frauen im Aufsichtsrat (Aktionärsvertreter und gesamter Aufsichtsrat) mit einer geringeren übermäßigen Vergütung und folglich einer besseren Überwachungseffektivität assoziiert ist. Dagegen können wir keinen Zusammenhang zwischen der Gender-Diversity der Arbeitnehmervertreter bzw. der Mitglieder im Vergütungsausschuss und der vergütungsbezogenen Überwachungseffektivität feststellen. Nachdem sich die internationale Forschung bereits vereinzelt mit der Thematik auseinandergesetzt hat, wird erstmalig im Kontext des dualistischen Corporate Governance-Systems getestet, inwiefern Geschlechtervielfalt im Aufsichtsrat und vergütungsbezogene Überwachungseffektivität miteinander verknüpft sind. Der Beitrag legt hierzu dar, dass eine höhere Gender-Diversity, unabhängig von sozialpolitischen Überlegungen, vorteilhaft für die Corporate Governance von Unternehmen sein kann und trägt somit zur Diskussion über die Wirkung der gesetzlichen Geschlechterquote bei.
Sub-additive (antagonistic) interaction of lacosamide with lamotrigine and valproate in the maximal electroshock-induced seizure model in mice: an isobolographic analysis
Authors: Łuszczki Jarogniew J. , Kondrat-Wróbel Maria , Zagaja Mirosław , Karwan Sławomir , Bojar Hubert , Plewa Zbigniew , Florek-Łuszczki Magdalena 
Published: June 2020

Abstract
Background
Launching polytherapy with two or three antiseizure drugs (ASDs) in patients with epilepsy is still problematic. The choice of ASDs to combine them together is usually based on clinicians’ experience and it requires knowledge about mechanisms of action of the studied ASDs and their drug–drug interactions, whose nature may be favorable, neutral or unfavorable. To characterize three-drug interaction among lacosamide (LCM), lamotrigine (LTG) and valproate (VPA), the type I isobolographic analysis was used. The antiseizure effects of three-drug combination were analyzed in a model of maximal electroshock-induced seizures (MES) in albino Swiss mice.

Materials and methods
The seizure activity in mice was evoked by alternating current stimulation (25 mA, 500 V, 50 Hz, 0.2 s). Both, the type I isobolographic analysis and the test of parallelism of dose-response effects of the ASDs were used so as to properly classify interaction among three ASDs, administered in a fixed ratio combination of 1:1:1.

Results
The three-drug mixture of LCM, LTG and VPA at the fixed ratio of 1:1:1 protected the experimental mice from MES-induced seizures; however, the reported interaction was sub-additive (antagonistic; p < 0.01) with isobolography.

Conclusion
The antagonistic pharmacodynamic interaction among LCM, LTG and VPA in the MES test in mice cannot be transferred to clinical settings and this unfavorable combination should not be recommended for patients with epilepsy.
CB-SEM Latent Interaction: Unconstrained and Orthogonalized Approaches
Authors: Cheah Jun-Hwa , Memon Mumtaz Ali , Richard James E , Ting Hiram , Cham Tat-Huei 
Published: June 2020

Covariance Based – Structural Equation Modelling (CB-SEM) is often used to investigate moderation and latent interaction effects. This study illustrates and compares the application of constrained, unconstrained and orthogonalized CB-SEM approaches to latent variable interaction analysis using AMOS. Although all three techniques provided similar parameter estimates, the orthogonalized approach provided reduced standard errors resulting in identifying a significant latent interaction, suggesting the orthogonalized approach may be better suited for exploratory research. The illustrated example demonstrates three CB-SEM techniques, and the simplicity of the three approaches to test for interaction effects. The three approaches can be comfortably implemented in available software programs. Guidelines and recommendations for the use of the three approaches are identified with a step-wise process of assessing the latent interaction effect in CB-SEM. As far as we are aware this is the first investigation comparing and recommending specific CB-SEM latent variable moderation analysis techniques in marketing research.
Effects of prenatal exposure to the 1983–1985 Ethiopian great famine on the metabolic syndrome in adults: a historical cohort study
Authors: Arage Getachew , Belachew Tefera , Hassen Habtamu , Abera Mubarek , Abdulhay Fedilu , Abdulahi Misra , Hassen Abate Kalkidan 
Published: June 2020

AbstractThe Ethiopian great famine was one of the severe forms of global famines ever documented in Africa as well as in the recent history of the world. Earlier famine studies, as natural experiments, had tested the association between prenatal famine exposure and the metabolic syndrome and reported heterogeneous findings. Hence, this study aimed at evaluating the effects of prenatal exposure to the 1983–1985 Ethiopian great famine on the metabolic syndrome in adults. Self-reported birth date and age of the study subjects were used to classify the status of famine exposure. The International Diabetes Federation criterion was used to assess the metabolic syndrome. Multivariable logistic regression models were fitted to examine relationship between prenatal famine exposure and the metabolic syndrome. The findings showed that, adjusted for covariates, adults who had prenatal exposure to famine were 2·94 times more likely to develop the metabolic syndrome compared with non-exposed groups (adjusted OR (AOR) 2·94, 95 % CI 1·66, 5·27). More specifically, famine exposure during prenatal life was associated with increased waist circumference (AOR 2·27 cm, 95 % CI 0·28, 4·26), diastolic blood pressure (AOR 2·47 mmHg, 95 % CI 0·84, 4·11), TAG (AOR 0·20 mmol/l, 95 % CI 0·10, 0·28) and fasting blood glucose (AOR 0·24 mmol/l, 95 % CI 0·04, 0·43) compared with the control groups. Higher proportion of the metabolic syndrome, risky anthropometric and dyslipidaemic parameters were observed among exposed groups. This finding adds further evidence on fetal origin of adult diseases hypothesis. The finding may imply that one potential means of preventing adulthood metabolic syndrome is to optimise maternal nutrition during pregnancy.