bluuebunny/crossref_metadata_2025_split huggingface dataset:
Controlled Inline Fluid Separation Based on Smart Process Tomography Sensors
Authors: Sahovic Benjamin , Atmani Hanane , Sattar Muhammad Awais , Garcia Matheus Martinez , Schleicher Eckhart , Legendre Dominique , Climent Eric , Zamansky Remi , Pedrono Annaig , Babout Laurent , Banasiak Robert , Portela Luis M. , Hampel Uwe 
Published: March 2020

AbstractToday's mechanical fluid separators in industry are mostly operated without any control to maintain efficient separation for varying inlet conditions. Controlling inline fluid separators, on the other hand, is challenging since the process is very fast and measurements in the multiphase stream are difficult as conventional sensors typically fail here. With recent improvement of process tomography sensors and increased processing power of smart computers, such sensors can now be potentially used in inline fluid separation. Concepts for tomography‐controlled inline fluid separation were developed, comprising electrical tomography and wire‐mesh sensors, fast and massive data processing and appropriate process control strategy. Solutions and ideas presented in this paper base on process models derived from theoretical investigation, numerical simulations and analysis of experimental data.
Ullmann‐Ma Reaction: Development, Scope and Applications in Organic Synthesis†
Authors: Cai Qian , Zhou Wei 
Published: March 2020

SummaryCopper‐catalyzed cross‐couplings of aryl halides and nucleophiles, traditionally called Ullmann‐type coupling reactions, were initially reported by Ullmann et al. from 1901—1929. A seminal report in 1998 by Ma et al. from Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences revealed an accelerating effect caused by amino acids, which brought Ullmann‐type coupling reactions into a ligand‐accelerating era. From 1999 to the first 10 years of 2000s, the first‐generation ligands were developed by many researchers and promoted Ullmann‐type coupling reactions of aryl iodides and bromides under relatively mild conditions. Amino acid ligands, developed by Ma and coworkers, are one class of the most important first‐generation ligands. In the second 10 years of 2000s, Ma et al. led the discovery of second‐generation ligands for copper‐catalyzed cross‐coupling reactions. Two great breakthroughs have been realized by using second‐generation oxalic diamide and related amide ligands, with aryl chlorides as general coupling partner and with low catalyst loadings. Now copper‐catalyzed cross coupling reactions of aryl halides and nucleophiles with amino acids or oxalic diamides and related amides as ligands are recognized as Ullmann‐Ma reactions and have found extensive applications in organic synthesis.
Immunohistochemical distribution of 10 GABAA receptor subunits in the forebrain of the rhesus monkey Macaca mulatta
Authors: Sperk Günther , Kirchmair Elke , Bakker Jaco , Sieghart Werner , Drexel Meinrad , Kondova Ivanela 
Published: March 2020

AbstractGABAA receptors are composed of five subunits arranged around a central chloride channel. Their subunits originate from different genes or gene families. The majority of GABAA receptors in the mammalian brain consist of two α‐, two β‐ and one γ‐ or δ‐subunit. This subunit organization crucially determines the physiological and pharmacological properties of the GABAA receptors. Using immunohistochemistry, we investigated the distribution of 10 GABAA receptor subunits (α1, α2, α3, α4, α5, β1, β2, β3, γ2, and δ) in the fore brain of three female rhesus monkeys (Macaca mulatta). Within the cerebral cortex, subunits α1, α5, β2, β3, and γ2 were found in all layers, α2, α3, and β1 were more concentrated in the inner and outer layers. The caudate/putamen was rich in α1, α2, α5, all three β‐subunits, γ2, and δ. Subunits α3 and α5 were more concentrated in the caudate than in the putamen. In contrast, α1, α2, β1, β2, γ2, and δ were highest in the pallidum. Most dorsal thalamic nuclei contained subunits α1, α2, α4, β2, β3, and γ2, whereas α1, α3, β1, and γ2 were most abundant in the reticular nucleus. Within the amygdala, subunits α1, α2, α5, β1, β3, γ2, and δ were concentrated in the cortical nucleus, whereas in the lateral and basolateral amygdala α1, α2, α5, β1, β3, and δ, and in the central amygdala α1, α2, β3, and γ2 were most abundant. Interestingly, subunit α3‐IR outlined the intercalated nuclei of the amygdala. In the hippocampus, subunits α1, α2, α5, β2, β3, γ2, and δ were highly expressed in the dentate molecular layer, whereas α1, α2, α3, α5, β1, β2, β3, and γ2 were concentrated in sector CA1 and the subiculum. The distribution of GABAA receptor subunits in the rhesus monkey was highly heterogeneous indicating a high number of differently assembled receptors. In most areas investigated, notably in the striatum/pallidum, amygdaloid nuclei and in the hippocampus it was more diverse than in the rat and mouse indicating a more heterogeneous and less defined receptor assembly in the monkey than in rodent brain.
Rateless coded Orthogonal Frequency Division Multiplexing system design based on intercarrier interference self‐cancelation
Authors: Zhang Yu , Yang Ke , Hua Jingyu , Peng Hong , Lu Weidang 
Published: March 2020

SummaryIn this paper, we consider a rateless coded Orthogonal Frequency Division Multiplexing (OFDM) system under a quasistatic fading channel. During each transmission round, transmitter keeps transmitting to the receiver using Raptor code until the receiver feeds back an acknowledgement (ACK). On the other hand, frequency offset between the transmitter and receiver ruins the orthogonality of OFDM subcarriers and cause intercarrier interference (ICI). We resort to ICI self‐cancelation precoding to combat ICI, wherein the data symbol vectors are multiplied with some precoding matrix before transmission. To improve the system robustness, we jointly optimize the precoding matrix and the degree profile of Raptor code, with only statistical channel state information (CSI) being assumed at the transmitter. The optimization problem is formulated based on the extrinsic information transfer (EXIT) analysis of the decoding process at the receiver. The advantage of the proposed design is that the instant CSI is not required at the transmitter, which reduces the system overhead. Simulation results verify that the proposed scheme with the optimized precoding matrix and degree profile can effectively combat ICI and achieve good performance both in bit error ratio (BER) and average transmission rate.
Pyrodiversity promotes interaction complementarity and population resistance
Authors: Ponisio Lauren C. 
Published: March 2020

AbstractTheory predicts that network characteristics may help anticipate how populations and communities respond to extreme climatic events, but local environmental context may also influence responses to extreme events. For example, altered fire regimes in many ecosystems may significantly affect the context for how species and communities respond to changing climate. In this study, I tested whether the responses of a pollinator community to extreme drought were influenced by the surrounding diversity of fire histories (pyrodiversity) which can influence their interaction networks via changing partner availability. I found that at the community level, pyrodiverse landscapes promote functional complementarity and generalization, but did not consistently enhance functional redundancy or resistance to simulated co‐extinction cascades. Pyrodiversity instead supported flexible behaviors that enable populations to resist perturbations. Specifically, pollinators that can shift partners and network niches are better able to take advantage of the heterogeneity generated by pyrodiversity, thereby buffering pollinator populations against changes in plant abundances. These findings suggest that pyrodiversity is unlikely to improve community‐level resistance to droughts, but instead promotes population resistance and community functionality. This study provides unique evidence that resistance to extreme climatic events depends on both network properties and historical environmental context.
Sex‐related differences in contemporary biomarkers for heart failure: a review
Authors: Suthahar Navin , Meems Laura M.G. , Ho Jennifer E. , de Boer Rudolf A. 
Published: March 2020

ABSTRACTThe use of circulating biomarkers for heart failure (HF) is engrained in contemporary cardiovascular practice and provides objective information about various pathophysiological pathways associated with HF syndrome. However, biomarker profiles differ considerably among women and men. For instance, in the general population, markers of cardiac stretch (natriuretic peptides) and fibrosis (galectin‐3) are higher in women, whereas markers of cardiac injury (cardiac troponins) and inflammation (sST2) are higher in men. Such differences may reflect sex‐specific pathogenic processes associated with HF risk, but may also arise as a result of differences in sex hormone profiles and fat distribution. From a clinical perspective, sex‐related differences in biomarker levels may affect the objectivity of biomarkers in HF management because what is considered to be ‘normal’ in one sex may not be so in the other. The objectives of this review are, therefore: (i) to examine the sex‐specific dynamics of clinically relevant HF biomarkers in the general population, as well as in HF patients; (ii) to discuss the overlap between sex‐related and obesity‐related effects, and (iii) to identify knowledge gaps to stimulate research on sex‐related differences in
HF.
Lack of relationship between epidermal denervation by capsaicin and incisional pain behaviours: A laser scanning confocal microscopy study in rats
Authors: Uhelski Megan L. , McAdams Brian , Johns Malcolm E. , Kabadi Rajiv A. , Simone Donald A. , Banik Ratan K. 
Published: March 2020

AbstractBackgroundSpontaneous pain after surgical incision is a significant problem for most post‐operative patients. Pain management that relies on opioids is hindered by numerous side effects, fuelling interest in non‐opioid alternatives and multimodal approaches. Subcutaneous capsaicin infiltration has shown potential for reducing post‐operative pain, but there are unanswered questions about safety and possible side effects. In adult rats, we characterized the analgesic effects of pre‐operative capsaicin infiltration into the skin prior to plantar incision and assessed wound healing and epidermal innervation.MethodsThe surgical site on the plantar surface of the rat hind paw was infiltrated with 1% capsaicin or vehicle 30 min or 1 week prior to surgical incision. Spontaneous and evoked pain behaviours were assessed. Digital images of incised hind paws were used to quantify the surface area of the wound after suture removal. Epidermal nerve fibre quantification was performed on peri‐incisional tissue biopsies.ResultsIntraplantar administration of capsaicin 30 min before surgical incision attenuated spontaneous pain behaviours, heat hyperalgesia, epidermal innervation, but it did not alter the rate of wound healing. Incisional pain hypersensitivity returned to baseline 2 weeks post‐incision, at a time when no recovery of epidermal innervation is observed.ConclusionsSubcutaneous infiltration of capsaicin prior to surgical incision attenuated incision‐induced pain behaviours and reduced epidermal innervation around the incision site. The long‐lasting epidermal denervation by capsaicin had no impact in the rate of wound healing and recovery from pain behaviours.SignificancePre‐operative capsaicin infiltration attenuated spontaneous pain‐like behaviour and prevented the development of heat hyperalgesia following plantar skin incision. While capsaicin caused long‐lasting and widespread loss of epidermal and dermal nerve fibres, there was no measurable impact on the rate of wound healing. Pre‐ or intra‐operative infiltration of capsaicin into surgical sites could act as a safe prophylactic for post‐operative pain and reduce the need for opioids during recovery.
A secure Internet of Things medical information sharing and emergency notification system based on nonrepudiation mechanism
Authors: Chen Chin‐Ling , Yang Tsai‐Tung , Deng Yong‐Yuan , Chen Chi‐Hua 
Published: March 2020

AbstractAs the network technologies have rapidly developed in recent years, many Internet of Things (IoT) based services and applications have walked into our daily lives; one of these is the medical information system. In the early days, medical information was recorded and stored in article form. It contains a patient identity background, past medical history, and records of medical payment. With the development of medical technology, medical information is now stored and transmitted electronically. Medical information may be a person's most private information, but due to network operation errors or hacking attacks, there has been a crisis of large‐scale leakage of these personal privacy data in the past. In any cases, how to protect this medical information and ensure the privacy of patients has become a topic worthy of research. Therefore, many kinds of literature discussed how to improve medical information systems. In addition, how to effectively treat patients when accidents happen is also a topic worthy of research. Therefore, combined with IoT technologies and medical devices, it has been opened a whole new future for medical information system. This study focuses on security and privacy issues to design a security scheme for healthcare environments when a person encountered physical emergency. Mobile devices and cloud computing are combined into the proposed platform. The proposed scheme can defend against impersonation attack, man‐in‐middle attack, and replay attack. The modal logic is used to verify the proposed scheme. By using digital signature and SVO logic mechanism, the proposed scheme is proven with nonrepudiation.
The algal polysaccharide ulvan suppresses growth of hepatoma cells
Authors: Zhao Chao , Lin Guopeng , Wu Desheng , Liu Dan , You Lijun , Högger Petra , Simal‐Gandara Jesus , Wang Mingfu , da Costa José Galberto Martins , Marunaka Yoshinori , Daglia Maria , Khan Haroon , Filosa Rosanna , Wang Shaoyun , Xiao Jianbo 
Published: March 2020

AbstractTreatment for tumors depends on host immune system. The antitumor and immunoregulatory activities of Ulva lactuca polysaccharide (ULP) were evaluated in H22 tumor‐bearing mice and cyclophosphamide‐induced immunosuppressed mice, respectively. The structural properties of ULP were identified through multi‐angle laser light scattering, high‐performance liquid chromatography, Fourier‐transformed infrared, and nuclear magnetic resonance. It was composed of α‐D‐Manp‐(1→, →2,4)‐β‐L‐Rhap‐(1→, β‐D‐GlcpA‐(1→, β‐GalpA‐(1→, →2,4)‐α‐D‐Glcp‐(1→, and →6)‐β‐D‐Galp‐(1→ with the molecular weight of 1.46 × 105 Da. Its antioxidant, anti‐inflammatory, and antitumor effects were determined. Liver and tumor tissues were collected for histopathological, immunohistochemical, and western blotting analysis. ULP showed the great tumor growth inhibition of 74.41% compared with cyclophosphamide, which has side effects on immune system. ULP enhanced the expression of p53 to inhibit tumorigenesis, promoted the activation of IKKα, and inhibited the activation of p65 within the NF‐κB pathway. ULP inhibited the tumor growth through downregulating the expressions of PI3K/Akt and mTOR, and promoting BAX/Bcl‐2 ratio. The inhibition of TRAF2/TNF‐α and CD31/VEGF achieved a direct killing effect on tumor cells and inhibited tumor proliferation by inhibiting angiogenesis, respectively. Moreover, ULP increased the levels of immunoglobulin M and total superoxide dismutase, decreased the level of methane dicarboxylic aldehyde, and inhibited the activation of PI3K/AKT/mTOR/p70S6k pathways. The results showed that ULP exhibited pronounced antitumor activity and immunoregulatory effect.
Stock index prediction based on wavelet transform and FCD‐MLGRU
Authors: Li Xiaojun , Tang Pan 
Published: March 2020

AbstractWith the development of artificial intelligence, deep learning is widely used in the field of nonlinear time series forecasting. It is proved in practice that deep learning models have higher forecasting accuracy compared with traditional linear econometric models and machine learning models. With the purpose of further improving forecasting accuracy of financial time series, we propose the WT‐FCD‐MLGRU model, which is the combination of wavelet transform, filter cycle decomposition and multilag neural networks. Four major stock indices are chosen to test the forecasting performance among traditional econometric model, machine learning model and deep learning models. According to the result of empirical analysis, deep learning models perform better than traditional econometric model such as autoregressive integrated moving average and improved machine learning model SVR. Besides, our proposed model has the minimum forecasting error in stock index prediction.
Defining and Describing Mid‐Level Administrators in Intercollegiate Athletics
Authors: Ott Molly , Beaumont Joshua 
Published: March 2020

AbstractIntercollegiate athletics occupies a unique place in higher education, but little is known about administrators working in this area. This chapter proposes a functional definition of “mid‐level” in the context of college sports, describes the prevalence of these jobs nationally, and summarizes key factors associated with mid‐level employment in intercollegiate athletics departments.
Molecular characterization and expression of arginine vasotocin V1a2 receptor in Atlantic croaker brain: Potential mechanisms of its downregulation by PCB77
Authors: Rahman Md Saydur , Kline Richard J. , Vázquez Omar A. , Khan Izhar A. , Thomas Peter 
Published: March 2020

AbstractThe arginine vasotocin (AVT)‐V1a receptor mediates critical reproductive behaviors of the nonapeptide vasotocin in the teleost brain. In this study, we report the molecular characterization of the AVT‐V1a2 receptor and its messenger RNA (mRNA) and protein expressions in the Atlantic croaker brain after exposure to the planar polychlorinated biphenyl congener 3,3′,4,4′‐tetrachlorobiphenyl (PCB77). The full‐length sequence of croaker AVT‐V1a2 receptor complementary DNA (cDNA) is highly homologous to other teleost AVT‐V1a2 receptor cDNAs. Double‐labeled immunohistochemistry showed coexpression of AVT‐V1a2 receptor and gonadotropin‐releasing hormone‐I (GnRH‐I, a neuropeptide that regulates gonadotropin secretion) in hypothalamic neurons, thereby providing the anatomical basis for possible AVT modulation of croaker reproduction through alterations in GnRH‐I secretion. AVT‐V1a2 receptor mRNA and protein levels as well as GnRH‐I mRNA levels were markedly decreased in hypothalamic tissues of croaker exposed to PCB77 (dose: 2 and 8 µg/g body weight for 4 weeks) compared with levels in untreated (control) fish. In contrast, hypothalamic cytochrome P450 1A (CYP1A, a monooxygenase enzyme) and interleukin‐1β (IL‐1β, a cytokine indicator of inflammation and response to neuronal damage) mRNA levels, and plasma protein carbonyl (PC, an indicator of reactive oxygen species) contents, important biomarkers of neural stress, were increased in PCB77‐exposed fish compared with controls. Collectively, these results suggest that the downregulation of hypothalamic AVT‐V1a2 receptor and GnRH‐I transcripts due to PCB77 exposure is associated with induction of CYP1A, cellular inflammation and oxidative stress in Atlantic croaker, a marine teleost that inhabits estuaries along the US Atlantic coast and the Gulf of Mexico that are often contaminated with persistent organic pollutants such as PCBs.
Spin‐flip approach within time‐dependent density functional tight‐binding method: Theory and applications
Authors: Inamori Mayu , Yoshikawa Takeshi , Ikabata Yasuhiro , Nishimura Yoshifumi , Nakai Hiromi 
Published: March 2020

AbstractA spin‐flip time‐dependent density functional tight‐binding (SF‐TDDFTB) method is developed that describes target states as spin‐flipping excitation from a high‐spin reference state obtained by the spin‐restricted open shell treatment. Furthermore, the SF‐TDDFTB formulation is extended to long‐range correction (LC), denoted as SF‐TDLCDFTB. The LC technique corrects the overdelocalization of electron density in systems such as charge‐transfer systems, which is typically found in conventional DFTB calculations as well as density functional theory calculations using pure functionals. The numerical assessment of the SF‐TDDFTB method shows smooth potential curves for the bond dissociation of hydrogen fluoride and the double‐bond rotation of ethylene and the double‐cone shape of H3 as the simplest degenerate systems. In addition, numerical assessments of SF‐TDDFTB and SF‐TDLCDFTB for 39 S0/S1 minimum energy conical intersection (MECI) structures are performed. The SF‐TDDFTB and SF‐TDLCDFTB methods drastically reduce the computational cost with accuracy for MECI structures compared with SF‐TDDFT.
Comparison between genetic algorithm‐multiple linear regression and back‐propagation‐artificial neural network methods for predicting the LD50 of organo (phosphate and thiophosphate) compounds
Authors: Kianpour Mina , Mohammadinasab Esmat , Isfahani Tahereh Momeni 
Published: March 2020

AbstractThe DFT‐B3LYP functional method on the 6‐31G* basis set was employed to optimize and calculate molecular descriptors of 76 organo (phosphates and thiophosphate) derivatives. The molecular descriptors were used to establish the quantitative structure‐toxicity relationship (QSTR) for the acute oral toxicity of studied compounds by multiple linear regression (MLR) and artificial neural network (ANN) methods. The best results were obtained with an ANN model trained with the back‐propagation (BP‐ANN) algorithm. The prediction accuracy for the external test set was estimated by the root mean square (RMS) error, square correlation coefficient (R2), and absolute average deviation (AAD) which were equal to 0.0248797, 0.9091, and 15.12187, respectively. It was specified that 90.91% of external test set was correctly predicted and the present model proved to be superior to the MLR model. Accordingly, the model developed in this study can be used to predict the oral acute toxicity of organo (phosphates and thiophosphate) derivatives, particularly for those that have not been experienced as well as new compounds. The analysis of the statistical parameters of models published in the literature showed that our model was more efficient.
Creation and utility of ‘Boston Minority Genetic Counselors’
Authors: Berro Tala , Amir Fatima , Chan‐Smutko Gayun , Lawrence Janette , Channaoui Nadine 
Published: March 2020

AbstractThe genetic counseling profession began shortly after the Civil Rights Movement, before effective strategies for inclusion of racial minorities had emerged. Given the historical context of the field and the continued lack of diversity in the professional body, inclusion among genetic counselors of social minority backgrounds is important to examine and address. A group of genetic counselors in the Boston area with social minority backgrounds initiated the Boston Minority Genetic Counselors (BMGC) group to bolster interconnection and support for themselves and their local genetic counselors and trainees of social minority backgrounds. In this paper, we describe the formation of the BMGC and its ongoing work. Future directions include using the BMGC model and/or that of similar organizations, such as the Minority Genetic Professionals Network, as a template to create similar genetic counseling groups that provide support around topics of social minority identities and promote sentiments of inclusion across the profession.