bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eine abwasserfreie Produktion ist möglich
Authors: Hendricks Silvia 
Published: May 2022

AbstractWasserknappheit gehört zu den Faktoren, die abwasserarme oder gar abwasserfreie industrielle Prozesse in Zukunft noch interessanter machen werden. Auf der IFAT Munich 2022 werden die dafür erforderlichen Technologien präsentiert und die Marktbedingungen diskutiert.
Filter digitalisieren und den Filter–prozess simulieren
Authors: Azimian Mehdi , Planas Barbara , Eichheimer Philipp 
Published: May 2022

AbstractDie Mulktiskalensimulation ermöglicht das digitale Filterdesign zur Verhaltensvorhersage, um selbst anspruchsvolle Spezifikationen zu erfüllen. Mit Geo‐Dict werden komplexe Geometrien und Simulationen von Filtern mit Gehäuse in den Filterdesign‐Workflow integriert und liefern alle wichtigen Leistungsparameter für den gesamten Filter als Funktion der Filtrationszeit.
Inbetriebnahme – eine höchst komplexe Teamaufgabe
Authors: Gandert Etwina 
Published: May 2022

AbstractDas Treffen der Betriebsingenieure Rhein‐Ruhr am 25. März 2022 stand unter der überschrift “Inbetriebnahme verfahrenstechnischer Anlagen”. Dr. Christian Poppe, Vorsitzender des VDI‐Fachbeirats Betrieb verfahrenstechnischer Anlagen, und die Geschäftsführerin des VDI‐GVC, Dr. Ljuba Woppowa, luden zum Treffen im Online‐Format ein.
Alkaloid Dimers Isolated from Thalictrum baicalense Have Antitumor Activities
Authors: Xue Jingjing , Wang Yuetong , Liu Fangshen , Yang Hangao , Lin Bin , Li Zhanlin , Jing Yongkui , Li Dahong , Hua Huiming 
Published: May 2022

Comprehensive SummaryA pair of heterodimeric isoquinoline alkaloid enantiomers, (±) thaliberberine A, five new thalifaberine‐type aporphine‐benzylisoquinoline (ABI) alkaloids, thalicultratines M—Q, and thirteen known analogues were isolated from the roots of Thalictrum baicalense Turcz. ex Ledeb. The structures were determined by extensive spectroscopic methods and ECD calculations. Thaliberberine A featuring a novel carbon skeleton coupled by two different classes of isoquinoline alkaloids, protoberberine and phthalidoisoquinoline, represents the first natural product with the berberine skeleton substituted at C‐6. Plausible biosynthetic routes of 1 are proposed. All isolated alkaloids were screened for their antiproliferative effects in vitro against HCT116, Caco‐2, and HepG‐2 cancer cell lines. The most active ABI alkaloid, thalifaronine (7) induced G0/G1 cell cycle arrest and apoptosis. Compound 7 effectively inhibited the colony formation and tumor growth of HCT116 cells in xenografts. The thalifaberine‐type ABI dimers represent a group of compounds with antitumor activity. The spectroscopic characteristics of thalifaberine‐type ABI dimers were also analyzed.
A new noninvasive and patient‐specific hemodynamic index for the severity of renal stenosis and outcome of interventional treatment
Authors: Yu Huidan , Khan Monsurul , Wu Hao , Du Xiaoping , Chen Rou , Rollins Dave M. , Fang Xin , Long Jianyun , Xu Chenke , Sawchuk Alan P. 
Published: May 2022

AbstractRenal arterial stenosis (RAS) often causes renovascular hypertension, which may result in kidney failure and life‐threatening consequences. Direct assessment of the hemodynamic severity of RAS has yet to be addressed. In this work, we present a computational concept to derive a new, noninvasive, and patient‐specific index to assess the hemodynamic severity of RAS and predict the potential benefit to the patient from a stenting therapy. The hemodynamic index is derived from a functional relation between the translesional pressure indicator (TPI) and lumen volume reduction (S) through a parametric deterioration of the RAS. Our in‐house computational platform, InVascular, for image‐based computational hemodynamics is used to compute the TPI at given S. InVascular integrates unified computational modeling for both image processing and computational hemodynamics with graphic processing unit parallel computing technology. The TPI–S curve reveals a pair of thresholds of S indicating mild or severe RAS. The TPI at S = 0 represents the pressure improvement following a successful stenting therapy. Six patient cases with a total of 6 aortic and 12 renal arteries are studied. The computed blood pressure waveforms have good agreements with the in vivo measured ones and the systolic pressure is statistical equivalence to the in‐vivo measurements with p < .001. Uncertainty quantification provides the reliability of the computed pressure through the corresponding 95% confidence interval. The severity assessments of RAS in four cases are consistent with the medical practice. The preliminary results inspire a more sophisticated investigation for real medical insights of the new index. This computational concept can be applied to other arterial stenoses such as iliac stenosis. Such a noninvasive and patient‐specific hemodynamic index has the potential to aid in the clinical decision‐making of interventional treatment with reduced medical cost and patient risks.
A Single‐blind, Randomized, Single‐dose, Two‐sequence, Two‐period, Crossover Study to Assess the Bioequivalence between Two Oral Tablet Formulations of Rivaroxaban 20 mg in Healthy Mexican Volunteers
Authors: Genis‐Najera Luis , Sañudo‐Maury Maria Elena , Moquete Trinifer 
Published: May 2022

AbstractThe objective of this study was to demonstrate the bioequivalence of 2 oral tablet formulations of rivaroxaban 20 mg in healthy Mexican volunteers under fed conditions. This phase I, single‐blind, single‐dose, randomized, two‐sequence, two‐period crossover study included 32 volunteers. Subjects were randomly assigned to one of two sequences: test formulation (single 20 mg dose) in the first period followed by the reference formulation (single 20 mg dose) in the second, or vice versa. Blood samples were collected predose and at predefined timepoints across a 48‐hour period after drug intake. Rivaroxaban plasma concentrations were measured using a validated high‐performance liquid chromatography‐tandem mass spectrometry method. Pharmacokinetic parameters included maximum plasma concentration (Cmax), area under the plasma concentration‐time curve from time zero to last measurable concentration and to infinity (AUC0‐t, AUC0‐∞), time to reach Cmax, and half‐life. Safety was evaluated through adverse‐event monitoring using subject interviews and recording of vital signs. The 90% confidence intervals for the test/reference geometric mean ratios of Cmax (100.4%–112.7%), AUC0‐t (96.5%–111.6%), and AUC0‐∞ (95.5%–109.5%) were within the bioequivalence acceptance range (80‐125%). Two adverse events (headaches) were recorded. Both formulations of rivaroxaban 20 mg tablets were bioequivalent and well tolerated in a healthy population of Mexican volunteers under fed conditions.
Clinical Formulation Bridging of Gefapixant, a P2X3‐Receptor Antagonist, for the Treatment of Chronic Cough
Authors: Gupta Pranav , Hussain Azher , Ford Anthony P. , Smith Steven , Nussbaum Jesse C. , Stoch Aubrey , Iwamoto Marian 
Published: May 2022

AbstractGefapixant is a P2X3‐receptor antagonist being developed for treatment of refractory or unexplained chronic cough. Four phase 1 studies were conducted in healthy participants that bridged the early‐phase gefapixant formulation (F01) to the phase 3 (F04A) and intended commercial (F04B) formulations. In addition, food and proton pump inhibitor (PPI) coadministration effects on gefapixant exposure were assessed. The gefapixant free base formulation (F01) was used in the initial early‐phase clinical studies. Adding citric acid to the F01 formulation (to generate F02) enhanced drug solubilization, resulting in similar bioavailability and mitigating food and gastric pH effects. The subsequently developed gefapixant citrate salt formulation (F04) achieved exposures that were comparable to F02 in the fed state (90%CIs of geometric mean ratios for area under the plasma concentration–time curve from time 0 extrapolated to infinity and maximum observed concentration were within 0.80 and 1.25) and were not meaningfully affected by food or PPIs (90%CIs of geometric mean ratios for area under the plasma concentration–time curve from time 0 extrapolated to infinity and maximum observed concentration were within 0.80 and 1.25). Minor compositional changes were made to generate the F04A and F04B formulations. In vitro dissolution studies were used to bridge F04 to F04A, and clinical bioequivalence was then established between F04A and F04B. These data support use of the proposed commercial gefapixant formulation without significant food and PPI effects.
Data reduction and recovery in wireless communication system: An extensive experimental evaluation using PSK and QAM modulations
Authors: Panem Charanarur , Vetrekar Narayan , Gad Rajendra 
Published: May 2022

SummaryThe evolution of technologies in data communication system has resulted in generation of large data. With the availability of limited bandwidth and to maintain the energy efficiency of the wireless communication system, data reduction plays a significant amount of role in preserving the lifetime of wireless communication system. Considering the significance of this problem in wireless communication system, in this work, we present data reduction and recovery or reconstruction on multivariate data using principal component analysis (PCA). In general, we send the eigen coefficients from the source and use these coefficients at the destination to recover or reconstruct the original data back in wireless communication system. We employ in our work two different digital modulation techniques such as phase‐shift keying (PSK) and quadrature amplitude modulation (QAM) with seven different bit rate to demonstrate our approach. We carry the experiments independently using five different signal ensemble and four different multiple‐input, multiple‐output (MIMO) configuration along with Rayleigh fading. This work presents an extensive simulated benchmark results based on performance matrix such as root mean square error (RMSE) and bit error rate (BER) at different values of signal‐to‐noise ratio (SNR). We further validate our approach by presenting synthesis of our proposed model using Xilinx target device Virtex‐6 LX240T Field Programmable Gate Array (FPGA). The experimental results reported based on simulation, synthesis, and validation of model demonstrate the applicability of our proposed approach in real‐time scenario.
Data and pilot power controls scheme based on convolutional neural network for massive cellular system with underlaid device‐to‐device communications
Authors: Faragallah Osama S. , El‐sayed Hala S. , El‐Mashed Mohamed G. 
Published: May 2022

SummaryStudying deep learning framework in massive cellular system to optimize its performance is a challenge task. In this paper, multi‐cell massive cellular system with device‐to‐device (D2D) communication is studied, where D2D pairs and cellular users can share different orthogonal pilots to overcome interference at the cellular base station (BS). We propose data and pilot power controls scheme based on deep learning framework using convolutional neural network (CNN) for cellular and D2D users. The main focus is to obtain the optimal data and pilot powers (i.e., cellular pilot power,
, cellular data power,
, D2D pilot power,
, and D2D data power,
) for maximum spectral efficiency (SE). SE optimization problem is formulated with the goal of obtaining optimal transmit powers. Also, comparison between the proposed scheme and the iterative power control schemes (i.e., weighted minimum mean square error [MMSE] technique, bisection technique, and technique‐based geometric mean per‐cell max–min fairness) is provided. Results show that the proposed scheme can increase the sum SE of multi‐cell massive cellular system with D2D communications.
Improving clinical trial efficiency using a machine learning‐based risk score to enrich study populations
Authors: Jering Karola S. , Campagnari Claudio , Claggett Brian , Adler Eric , Klein Liviu , Ahmad Faraz S. , Voors Adriaan A. , Solomon Scott , Yagil Avi , Greenberg Barry 
Published: May 2022

AimsPrognostic enrichment strategies can make trials more efficient, although potentially at the cost of diminishing external validity. Whether using a risk score to identify a population at increased mortality risk could improve trial efficiency is uncertain. We aimed to assess whether Machine learning Assessment of RisK and EaRly mortality in Heart Failure (MARKER‐HF), a previously validated risk score, could improve clinical trial efficiency.Methods and resultsMortality rates and association of MARKER‐HF with all‐cause death by 1 year were evaluated in four community‐based heart failure (HF) and five HF clinical trial cohorts. Sample size required to assess effects of an investigational therapy on mortality was calculated assuming varying underlying MARKER‐HF risk and proposed treatment effect profiles. Patients from community‐based HF cohorts (n = 11 297) had higher observed mortality and MARKER‐HF scores than did clinical trial patients (n = 13 165) with HF with either reduced ejection fraction (HFrEF) or preserved ejection fraction (HFpEF). MARKER‐HF score was strongly associated with risk of 1‐year mortality both in the community (hazard ratio [HR] 1.48, 95% confidence interval [CI] 1.44–1.52) and clinical trial cohorts with HFrEF (HR 1.41, 95% CI 1.30–1.54), and HFpEF (HR 1.74, 95% CI 1.53–1.98), per 0.1 increase in MARKER‐HF. Using MARKER‐HF to identify patients for a hypothetical clinical trial assessing mortality reduction with an intervention, enabled a reduction in sample size required to show benefit.ConclusionUsing a reliable predictor of mortality such as MARKER‐HF to enrich clinical trial populations provides a potential strategy to improve efficiency by requiring a smaller sample size to demonstrate a clinical benefit.
Redefining the epidemiology of cardiac amyloidosis. A systematic review and meta‐analysis of screening studies
Authors: Aimo Alberto , Merlo Marco , Porcari Aldostefano , Georgiopoulos Georgios , Pagura Linda , Vergaro Giuseppe , Sinagra Gianfranco , Emdin Michele , Rapezzi Claudio 
Published: May 2022

AimsAn algorithm for non‐invasive diagnosis of amyloid transthyretin cardiac amyloidosis (ATTR‐CA) and novel disease‐modifying therapies have prompted an active search for CA. We examined the prevalence of CA in different settings based on literature data.Methods and resultsWe performed a systematic search for screening studies on CA, focusing on the prevalence, sex and age distribution in different clinical settings. The prevalence of CA in different settings was as follows: bone scintigraphy for non‐cardiac reasons (n = 5 studies), 1% (95% confidence interval [CI] 0%–1%); heart failure with preserved ejection fraction (n = 6), 12% (95% CI 6%–20%); heart failure with reduced or mildly reduced ejection fraction (n = 2), 10% (95% CI 6%–15%); conduction disorders warranting pacemaker implantation (n = 1), 2% (95% CI 0%–4%); surgery for carpal tunnel syndrome (n = 3), 7% (95% CI 5%–10%); hypertrophic cardiomyopathy phenotype (n = 2), 7% (95% CI 5%–9%); severe aortic stenosis (n = 7), 8% (95% CI 5%–13%); autopsy series of ‘unselected’ elderly individuals (n = 4), 21% (95% CI 7%–39%). The average age of CA patients in the different settings ranged from 74 to 90 years, and the percentage of men from 50% to 100%. Many patients had ATTR‐CA, but the average percentage of patients with amyloid light‐chain (AL) CA was up to 18%.ConclusionsSearching for CA in specific settings allows to identify a relatively high number of cases who may be eligible for treatment if the diagnosis is unequivocal. ATTR‐CA accounts for many cases of CA across the different settings, but AL‐CA is not infrequent. Median age at diagnosis falls in the eighth or ninth decades, and many patients diagnosed with CA are women.
Selective Deconstructive Lactamization of the Indolo[2,3‐a]quinolizine Skeleton for the Total Synthesis of (+) and (−)‐Cuscutamine
Authors: Recoba‐Torres Adriana , Cruz‐Gregorio Silvano , Quintero Leticia , Sandoval‐Lira Jacinto , Romero‐Ibañez Julio , Sartillo‐Piscil Fernando 
Published: May 2022

AbstractThe general approach for accessing to a tetracyclic hexahydro‐3H‐indolizino[8,7‐b]indol‐3‐one alkaloids is that what involves the construction of the γ‐lactam ring from a tricyclic precursor. Here in this report, we disclose a new synthetic strategy that permits the direct deconstruction of the tetracyclic indolo[2,3‐a]quinolizine motif into the tetracyclic hexahydroindolizin‐3‐one scaffold of the naturally occurring (+)‐cuscutamine without the use of either transition or precious metals. Additionally, the current total synthesis of both enantiomers provides structural clarification of the natural occurring alkaloid.
Mesh‐free model for Hopf's bifurcation points in incompressible fluid flows problems
Authors: Rammane Mohammed , Mesmoudi Said , Tri Abdeljalil , Braikat Bouazza , Damil Noureddine 
Published: May 2022

AbstractIn this article, a new numerical model is proposed to detect numerically the Hopf bifurcation point of incompressible fluid flows problems. The concept of this model consists to propose a Hopf bifurcation indicator which is solved by a high order mesh free algorithm (HO‐MFA) using the moving least squares (MLS) approximation. This numerical model is based on a strong formulation of Navier–Stokes equations. This procedure allowed us to recover the results of the literature in using only a modelization for low Reynolds number. This new model is tested on the classical flow around a cylindrical obstacle and the backward‐facing step flow to show the advantage and ability of the proposed model to detect the bifurcation points and to determinate the flow periodicity.
Digital image correlation based characterization of rubber material at large shear deformations in an extended temperature range
Authors: Kanzenbach Lars , Lehmann Thomas , Ihlemann Jörn 
Published: May 2022

AbstractThis contribution deals with a new shear device, which is applied for rubber measurements in simple shear in an extended temperature range. As a special feature for the loading system, no bonding technique, or vulcanization is used, but a form fit connection via pins. The measured stress–shear value curves for different temperature levels are evaluated with a standard method from GOM ARAMIS. In addition, a new approximation based evaluation method is introduced and applied for shear value determination including smoothing of the raw digital image correlation data with consideration of characteristic noise properties. This enables the analysis of noise induced error influences. It was proved by the approximation based method, that the standard ARAMIS evaluation provides shear value results, which are suitable for performed characterization tests. As a consequence, the nearly homogeneous measurement data can be used for parameter fitting of constitutive rubber models.
The changing relationship between advising and technology
Authors: Pelletier Kathe 
Published: May 2022

AbstractIn the past, technological tools were considered a “solution” to advising challenges. However, successful advising transformation efforts have also incorporated shifts in institutional culture and workforce in addition to the adoption of new technologies. Approaching advising redesign as a digital transformation (Dx) initiative can transform an institution's operations, strategic directions, and value propositions surrounding advising. This chapter articulates an approach to the implementation of advising technologies and the necessity to view “holistic advising redesign” as a Dx initiative for advising to reach its full potential at scale. For institutions, this means embracing not just the promise of new technology but also the investment in and attention to the critical shifts in culture and workforce.
A leadership journey: How advising shapes an institutional culture
Authors: Jones Jacquelyn , Welker Melissa , Charlton Jonikka , Arney Janna 
Published: May 2022

AbstractAlthough we know advising can be conceptualized as a critical component of an integrated and comprehensive student success strategy on a campus, it is often difficult to implement. This chapter will provide a case study of the development and execution of a leadership initiative at an American Association of State Colleges and Universities (AASCU) institution to transform advising in service of the goals of student equity and success. The University of Texas Rio Grande Valley's advising model grew out of a convergence of a handful of key momentum points including strategic planning processes and the use of emerging data surrounding their students as a majority‐minority Hispanic‐serving institution. Through these and other momentum points and the approach from leaders, their institutional transformation reflects the importance of the role and shared responsibility for building student success and equity on campus.
Our labor of love: Socially just leadership education as civic leadership development
Authors: Collins Jasmine D. , Manning‐Ouellette Amber , Neal Brandi , Daglaris Megan 
Published: May 2022

AbstractThe chapter authors argue there is a distinct relationship between socially just leadership education and civic engagement, which transforms inequitable work to interrupt and reconstruct unjust systems and organizations through curricular learning and engagement. To cultivate advocacy, activism, and engaged citizenry, higher education administrators, faculty, and staff have a responsibility to engage practices for socially just leadership learning and development of college students through curricular and co‐curricular experiences.
Socioeconomic status and COVID‐19‐related cases and fatalities in the world: A cross‐sectional ecological study
Authors: Faramarzi Ahmad , Javan‐Noughabi Javad , Mousavi Sayed Ali , Bahrami Asl Farshad , Shabanikiya Hamidreza 
Published: May 2022

AbstractBackground and AimsThe COVID‐19 pandemic poses an extraordinary threat to global public health. We designed an ecological study to explore the association between socioeconomic factors and the COVID‐19 outcomes in 184 countries, using the geographic map and multilevel regression models.MethodsWe conducted a cross‐sectional ecological study in 184 countries. We performed regression analysis to assess the association of various socioeconomic variables with COVID‐19 outcomes in 184 countries, using ordinary least squares and multilevel modeling analysis. We performed two‐level analyses with countries at Level 1 and geographical regions at Level 2 in multilevel modeling analysis, using the same set of predictor variables used in ordinary least squares.ResultsThere was a significant relationship between COVID‐19 cases rate (Log) per 100,000 inhabitants‐day at risk with human development index (HDI), percentage of the urban population, unemployment, and cardiovascular disease prevalence. The results displayed that the variances are varied between Level 1 (country level) and Level 2 (World Health Organization [WHO] regions), meaning that the geographic distribution represented a proportion of the changes in the COVID‐19 outcomes.ConclusionThe study suggests that in addition to the socioeconomic status affects the COVID‐19 outcomes, countries' geographical location makes a part of changes in outcomes of diseases. Therefore, health policy‐makers could overcome morbidity and mortality in COVID‐19 by controlling the socioeconomics factors.