bluuebunny/crossref_metadata_2025_split huggingface dataset:
Macrophages enhance 3D invasion in a breast cancer cell line by induction of tumor cell tunneling nanotubes
Authors: Carter Kiersten P. , Hanna Samer , Genna Alessandro , Lewis Daniel , Segall Jeffrey E. , Cox Dianne 
Published: August 2019

AbstractBackgroundMetastasis is the cause of most cancer‐related deaths. It is known that breast cancer cells in proximity to macrophages become more invasive in an Epidermal Growth Factor (EGF) dependent manner. Tunneling nanotubes (TNTs) are thin, F–actin containing, cellular protrusions that mediate intercellular communication and have been identified in many tumors. The mechanism of TNT formation varies between different cell types. M‐Sec (TNFAIP2) has been demonstrated to be involved in TNT formation in some cell types including macrophages. Yet, the requirement of M‐Sec in tumor cell TNT formation in response to macrophages has not been explored.AimThe aim of this study was to determine whether EGF was required for macrophage induced tumor cell TNTs in an M‐Sec dependent manner and what possible roles tumor cell TNTs play in tumor cell migration and invasion.Methods and ResultsMacrophage Conditioned Media (CM) was used to induce an increase in TNTs in a number of breast cancer cell lines as measured by live cell microscopy. Tumor cell TNT formation by CM was dependent on the presence of EGF which was sufficient to induce TNT formation. CM treatment enhanced the level of M‐Sec identified using western blot analysis. Reduction of endogenous M‐Sec levels via shRNA in MTLn3 mammary adenocarcinoma cells inhibited the formation of TNTs. The role of tumor cell TNTs in cell behavior was tested using in vitro transwell and 3D invasion assays. No effect on chemotaxis was detected but 3D invasion was reduced following the knockdown of M‐Sec in tumor cell TNTs.ConclusionsOur results show that EGF was necessary and sufficient for tumor cell TNT formation which was dependent on cellular M‐Sec levels. While tumor cell TNTs may not play a role in individual cell behaviors like chemotaxis, they may be important in more complex tumor cell behaviors such as 3D invasion.
Minimum sensitivity coupled resonators and biquads
Authors: Jurisic Drazen , Moschytz George S. 
Published: August 2019

SummaryThe effect of coupling on the overall sensitivity to component tolerances of two second‐order resonators is compared with the sensitivity of a non‐coupled cascade of two second‐order resonators. Coupled resonators consist of two second‐order resonators “coupled” within a negative feedback loop. The resulting overall fourth‐order transfer function of the two circuits, coupled and non‐coupled, is identical. The “cascaded” poles, ie, the poles of the two cascaded resonators, are therefore identical to the poles of the coupled circuit, the coupled poles. The poles within the negative‐feedback loop, the “open‐loop” poles, will be different. We assume that the manufacturing technology used to realize the open‐loop poles of the coupled circuit is the same as that of the cascaded, non‐coupled circuit. The open‐loop poles will therefore be subject to the same component tolerances as those of the cascaded non‐coupled circuit. Our analysis leads to the optimum location in the s‐plane with regard to minimum sensitivity, for the open‐loop poles of the coupled circuit. Since resonators are essentially the equivalent of second‐order bandpass filters, the results obtained are applied to coupled second‐order active‐RC filters, or biquads, for which insensitivity to component tolerances is critical. The examples given pertain to the coupling of biquads.
Auto‐management of energy in IoT networks
Authors: Zouinkhi Ahmed , Ayadi Hayfa , Val Thierry , Boussaid Boumedyen , Abdelkrim Mohamed Naceur 
Published: August 2019

SummaryWireless sensor network (WSN) based on IEEE 802.15.4 technology continues to gain considerable importance. The present work is based on this standard and a cluster tree network topology. This network is divided into many subgroups, each of which is characterized by its special IEEE parameters (beacon order [BO] and superframe order [SO]). A mathematical model for computing energy consumption was proposed to enable personal area network (PAN) coordinator to detect the current energy level in the battery. The proposed adaptive intervention is based on a comparison between the remaining energy and the diverse thresholds, which lead to an auto‐management of energy consumption. The proposed approach was evaluated using Inetmanet/Omnet++ simulator.
Brief and extended abstinence from chronic oral methylphenidate treatment produces reversible behavioral and physiological effects
Authors: Kalinowski Leanna , Connor Carly , Somanesan Rathini , Carias Emily , Richer Kaleigh , Smith Lauren , Martin Connor , Mackintosh Macauley , Popoola Daniel , Hadjiargyrou Michael , Komatsu David E. , Thanos Panayotis K. 
Published: August 2019

AbstractMethylphenidate (MP) is a commonly prescribed psychostimulant to individuals with Attention Deficit Hyperactivity Disorder, and is often used illicitly among healthy individuals with intermittent breaks to coincide with breaks from school. This study examined how intermittent abstinence periods impact the physiological and behavioral effects of chronic oral MP self‐administration in rats, and whether these effects persist following prolonged abstinence from the drug. Rats were treated orally with water, low‐dose (LD), or high‐dose (HD) MP, beginning at PND 28. This daily access continued for three consecutive weeks followed by a 1‐week abstinence; after three repeats of this cycle, there was a 5‐week abstinence period. Throughout the study, we examined body weight, food intake, locomotor activity, and anxiety‐ and depressive‐like behaviors. During the treatment phase, HD MP decreased body weight, food intake, and depressive‐ and anxiety‐like behaviors, while it increased locomotor activity. During intermittent abstinence, the effects of MP on locomotor activity were eliminated. During prolonged abstinence, most of the effects of HD MP were ameliorated to control levels, with the exception of weight loss and anxiolytic effects. These findings suggest that intermittent exposure to chronic MP causes physiological and behavioral effects that are mostly reversible following prolonged abstinence.
Indications of strong adaptive population genetic structure in albacore tuna (Thunnus alalunga) in the southwest and central Pacific Ocean
Authors: Anderson Giulia , Hampton John , Smith Neville , Rico Ciro 
Published: August 2019

AbstractAlbacore tuna (Thunnus alalunga) has a distinctly complex life history in which juveniles and adults separate geographically but at times inhabit the same spaces sequentially. The species also migrates long distances and presumably experiences varied regimes of physical stress over a lifetime. There are, therefore, many opportunities for population structure to arise based on stochastic differences or environmental factors that promote local adaptation. However, with the extent of mobility consistently demonstrated by tagged individuals, there is also a strong argument for panmixia within an ocean basin. It is important to confirm such assumptions from a population genetics standpoint for this species in particular because albacore is one of the principal market tuna species that sustains massive global fisheries and yet is also a slow‐growing temperate tuna. Consequently, we used 1,837 neutral SNP loci and 89 loci under potential selection to analyze population genetic structure among five sample groups collected from the western and central South Pacific. We found no evidence to challenge panmixia at neutral loci, but strong indications of structuring at adaptive loci. One population sample, from French Polynesia in 2004, was particularly differentiated. Unfortunately, the current study cannot infer whether the divergence is geographic or temporal, or possibly caused by sample distribution. We encourage future studies to include potentially adaptive loci and to continue fine‐scale observations within an ocean basin, and not to assume genome‐wide panmixia.
Neuromuscular electrical stimulation is feasible in patients with acute heart failure
Authors: Kondo Toru , Yamada Sumio , Tanimura Daisuke , Kazama Shingo , Ishihara Toshikazu , Shimojo Masafumi , Iwata Etsuo , Kondo Sayano , Hiraiwa Hiroaki , Kato Toshiaki , Sano Hiroaki , Awaji Yoshifumi , Okumura Takahiro , Murohara Toyoaki 
Published: August 2019

AbstractAimsIn acute heart failure (AHF), immobilization is caused because of unstable haemodynamics and dyspnoea, leading to protein wasting. Neuromuscular electrical stimulation (NMES) has been reported to preserve muscle mass and improve functional outcomes in chronic disease. NMES may be effective against protein wasting frequently manifested in patients with AHF; however, whether NMES can be implemented safely without any adverse effect on haemodynamics has remained unknown. This study aimed to examine the feasibility of NMES in patients with AHF.Methods and resultsPatients with AHF were randomly assigned to the NMES or control group. The intensity of the NMES group was set at 10–20% maximal voluntary contraction level, whereas the control group was limited at a visible or palpable level of muscle contraction. The sessions were performed 5 days per week since the day after admission. Before the study implementation, we set the feasibility criteria with following items: (i) change in systolic blood pressure (BP) > ±20 mmHg during the first session; (ii) increase in heart rate (HR) > +20 b.p.m. during the first session; (iii) development of sustained ventricular arrhythmia, atrial fibrillation (AF), and paroxysmal supraventricular tachycardia during all sessions; (iv) incidence of new‐onset AF during the hospitalization period < 40%; and (v) completion of the planned sessions by >70% of patients. The criteria of feasibility were set as follows; the percentage to fill one of (i)–(iii) was <20% of the total subjects, and both (iv) and (v) were satisfied. A total of 73 patients (median age 72 years, 51 men) who completed the first session were analysed (NMES group, n = 34; control group, n = 39). Systolic BP and HR variations were not significantly different between two groups (systolic BP, P = 0.958; HR, P = 0.665). Changes in BP > ±20 mmHg or HR > +20 b.p.m. were observed in three cases in the NMES group (8.8%) and five in the control group (12.8%). New‐onset arrhythmia was not observed during all sessions in both groups. During hospitalization, one patient newly developed AF in the NMES group (2.9%), and one developed AF (2.6%) and two lethal ventricular arrhythmia in the control group. Thirty‐one patients in the NMES group (91%) and 33 patients in the control group (84%) completed the planned sessions during hospitalization. This study fulfilled the preset feasibility criteria.ConclusionsNMES is feasible in patients with AHF from immediately after admission.
Reliable Classification of Olive Oil Origin Based on Minor Component Profile Using 1H‐NMR and Multivariate Analysis
Authors: Winkelmann Ole , Küchler Torben 
Published: August 2019

AbstractMislabeling of olive oil with respect to its geographical origin is a frequently encountered fraud. Although according to European Regulation (EU) No 29/2012 it is mandatory to declare the geographical origin of an olive oil on the label, no generally accepted analytical method exists to verify this labeling. As Italy, Greece, and Spain are the main producing countries in the Mediterranean Area, the aim is to develop an analytical method that allows classification of these three origins and which can be reliably applied to routine samples. A protocol for the extraction and subsequent 1H‐NMR measurement of the polar fraction of olive oil is developed and applied to a large number of authentic reference samples. A classification model is developed which obtains 96% of correct classification during cross‐validation. The method is being routinely applied for testing commercial off‐the‐shelf olive oils, and its accuracy is continuously verified.Practical Applications: In addition to checking the geographical origin of an olive oil, the developed protocol allows to analyze the polar constituents of an olive oil in great detail with little effort, which should prove useful also for other applications, for example, quantitation of phenols or detection of admixtures with other vegetable oils.
Intrathecal dexmedetomidine versus magnesium sulphate for postoperative analgesia and stress response after caesarean delivery; randomized controlled double‐blind study
Authors: Mostafa Mohamed F. , Herdan Ragaa , Fathy Golnar M. , Hassan Zein E. A. Zareh , Galal Hanan , Talaat Ahmed , Ibrahim Ahmed K. 
Published: August 2019

AbstractBackgroundVarious adjuvants were added to intrathecal anaesthetics to improve quality of the block and postoperative analgesia. We hypothesized that intrathecal dexmedetomidine and magnesium sulphate (MgSO4) may add similar effects. Our objectives were to compare their effects as adjuvants to intrathecal bupivacaine on postoperative analgesia, stress hormones, sedative properties and the neonatal outcome after caesarean section.MethodsA randomized double‐blind controlled study; 90 parturients were divided into three groups. All patients received intrathecal hyperbaric bupivacaine 12.5 mg. NaCl 0.9% was added to intrathecal block in group C, 5 μg dexmedetomidine in the group D and 50 mg MgSO4 in group M. Visual analogue scale (VAS) score, stress hormones were assessed within the first 12 postoperative hours, sensory block, and neonatal outcome were also assessed.ResultsVAS scores were significantly lower in groups D and M. Onset of postoperative pain was significantly prolonged in group D. Time to peak sensory level was shorter in group D. Sedation score was significantly higher in group D only after 30 min of intrathecal block. Although stress hormones increased in all groups during intraoperative and postoperative periods, their levels were significantly lower in group D compared to other groups. No differences were noted regarding neonatal outcomes.ConclusionIntrathecal dexmedetomidine is superior to intrathecal MgSO4 during caesarean section with regard to duration of analgesia, pain severity and stress hormone levels. Dexmedetomidine has a rapid onset and longer duration of sensory block compared to MgSO4. No significant adverse effects to the parturients or newborns.
Efficient biodegradation of malachite green by a newly isolated Klebsiella pneumoniae strain WA‐1
Authors: Li Chunsheng , Liu Dandan , Yang Xianqing , Chen Shengjun , Deng Jianchao , Rong Hui , Li Chi 
Published: August 2019

AbstractBiodegradation by microorganisms is a potential treatment technique of malachite green (MG) in aquaculture environments. In this study, a bacterium with high MG decolorization and biodegradation ability was isolated through enrichment culture and color‐decoloration circle method, and was identified as Klebsiella pneumoniae WA‐1 after molecular and biochemical identification. The MG biodegradation characteristics and the factors affecting the MG biodegradation ability of this strain were studied using KBH4 reduction‐high performance liquid chromatography with fluorescence detector (HPLC‐FLD) method. K. pneumoniae WA‐1 could efficiently biodegrade MG in aqueous solution without any nutrients that over 94.0% MG was biodegraded by this strain at 1–20 mg/L within 0.5 hr and 100% MG were biodegraded at 1–10 mg/L within 12 hr. Fairly stable MG biodegradation performance was observed in complex environments, including various pH, temperature, salinity, and metal ions, especially at low MG concentration. Furthermore, the presence of NaCl, Mn2+, Mg2+, or Cu2+ could enhance the MG biodegradation ability of this strain. These results indicate that K. pneumoniae WA‐1 could be used as a potential MG degradation agent in complex aquaculture environments.
A novel method for the estimation of cobalt (II) in practical samples using ammonium pyrollidine dithiocarbamate
Authors: Korai Muhammad A. , Shar Ghulam A. , Soomro Gul A. , Ahmad Aftab , Jalal Fatima , Ashiq Muhammad S. , Husnain Hafiz M. , Shar Nisar A. , Shar Rafique A. , Iqbal Munawar 
Published: August 2019

AbstractAn easy and quick spectrophotometric method was developed and employed for detection and quantification of cobalt using ammonium pyrollidine dithiocarbamate (APDC) in presence of anionic surfactant sodium dodecyl sulfate aqueous micellar solution. The cobalt forms bis(ammonium pyrollidine dithiocarbamato) cobalt complex reacting with ammonium pyrollidine dithiocarbamate. The prepared complex was used for the detection of Co(II) ions spectrophotometrically in different types of samples of practical nature and developed methods shows high sensitivity and selectivity toward Co(II) ions and the coefficient of molar absorption (ε) and Sandell's sensitivity were 2.35 × 104 L mol−1 cm−1 and 2.73 ng/cm2 at λmax 322.2 nm, respectively. A linear relationship with concentration was observed in the range of 0.12–4.0 μg/ml and 1:2 metal to ligand ratio was found best for the complex Co–[APDC]2 formation. Using developed material and method, cobalt ions in pharmaceutical, tap water and reference material was recovered up to 99.81, 99.0, and 99.14 (%), respectively. The developed methods has potential for Co(II) estimation and could possibly be used for Co(II) quantification in practical samples.
Study on landfill gas migration in landfilled municipal solid waste based on gas–solid coupling model
Authors: Zeng Gang 
Published: August 2019

AbstractGas migration rule is of great significance to the safe disposal of landfill. In this article, a gas–solid coupling model was developed and used to simulate the effects of various factors on gas migration. The simulation results showed that gas pressure in landfill decreased with the increase of extraction pressure, anisotropy ratio, coverage gas permeability, extraction well depth, and coverage thickness. The maximum value of gas pressure could reach 683 Pa. Among these factors, extraction pressure played the largest role in the gas pressure, while coverage thickness played the smallest role in it. The radius of influence (RoI) and gas flow rate increased with the increase of extraction pressure, refuse gas permeability, coverage thickness, and the extraction well depth, but with the decrease of coverage gas permeability. The effect of extraction well depth on RoI and gas flow rate was the most significant. When extraction well depth increased from 0.5 landfill height to 0.9 landfill height, the maximum values of RoI and extraction volume increased by 20 m and 20 m3/hr, respectively. It was suggested that the design of landfill gas (LFG) collection system should consider the influence of various factors in practical engineering.
Performance analysis of machine learning and deep learning classification methods for indoor localization in Internet of things environment
Authors: Turgut Zeynep , Üstebay Serpil , Ali Aydın Muhammed , Gürkaş Aydın Gülsüm Zeynep , Sertbaş Ahmet 
Published: August 2019

AbstractThe ability to detect the mobile user's location with high precision in indoor networks is particularly difficult due to the environmental characteristics and high dynamics of the indoor networks. The use of different technologies in the system to be developed to determine the position with high accuracy is important for overcoming the disadvantage(s) of any technology. To design a high‐precision indoor positioning method, it is important create an Internet of things (IoT) environment which uses hybrid technologies. The proposed system has been tested on an IoT environment by using two phases: preproccessing and localization. The corresponding environment is an original IoT environment, which allows to collect a hybrid dataset consists of WiFi, Bluetooth Low Energy, and Earth's magnetic field values. HALICDB dataset is created in the related ecosystem. To make a comparison with HALICDB, RFKONDB is used to create RFKON_HIBRID with similar signal values. The signal values obtained from the datasets are first passed through a particle filter. In the localization phase, a reference signal map is obtained for the detection of the moving objects in the indoor areas that are in the IoT environment using the fingerprint method. In the offline phase, the different machine learning methods are used in fingerprint maps for classification. It is seen that the highest accuracy is received through stacked sparse autoencoder from the deep learning methods due to the overcomplete network structure offered by the IoT environment on both datasets.
TCGMAC: A TDMA‐based MAC protocol with collision alleviation based on slot declaration and game theory in VANETS
Authors: Li Shujing , Liu Yanheng , Wang Jian , Ge Yuming , Deng Lingyue , Deng Weiwen 
Published: August 2019

AbstractRecently, there has been increasing interest in intelligent transport systems and intelligent connected vehicles. Vehicular ad hoc networks play an important role in these areas. Many time‐division multiple access (TDMA)–based protocols have been proposed to obtain lower transmission delay and packet loss rate. However, transmission collisions occur when nodes that belong to the same two‐hop set use the same time slot in TDMA‐based protocols. Meanwhile, nodes reacquire slots because of the packet loss caused by poor channel conditions, which further lowers the protocol's performance. In this paper, we study TCGMAC, a combined TDMA and carrier‐sense multiple access (CSMA) medium access control (MAC)–layer protocol. Each time frame is divided into two parts: the TDMA period (TP) and the CSMA period (CP). TP is used for application data transmission, and CP is used for the slot requirement. If two or more nodes acquire the same time slot in the CP, game theory is used to improve the slot allocation efficiency. The simulation results demonstrate that TCGMAC performs well in different traffic densities and channel conditions.
A technique of flux reconstruction at the interfaces of nonconforming grids for aeroacoustic simulations
Authors: Le Bras Sophie , Deniau Hugues , Bogey Christophe 
Published: August 2019

SummaryA flux reconstruction technique is presented to perform aeroacoustic computations using implicit high‐order spatial schemes on multiblock structured grids with nonconforming interfaces. The use of such grids, with mesh spacing discontinuities across the block interfaces, eases local mesh refinements, simplifies the mesh generation process, and thus facilitates the computation of turbulent flows. In this work, the spatial discretization consists of sixth‐order finite‐volume implicit schemes with low‐dispersion and low‐dissipation properties. The flux reconstruction is based on the combination of noncentered schemes with local interpolations to define ghost cells and compute flux values at the grid interfaces. The flow variables in the ghost cells are calculated from the flow field in the grid cells using a meshless interpolation with radial basis functions. In this study, the flux reconstruction is applied to both plane and curved nonconforming interfaces. The performance of the method is first evaluated by performing two‐dimensional simulations of the propagation of an acoustic pulse and of the convection of a vortex on Cartesian and wavy grids. No significant spurious noise is produced at the grid interfaces. The applicability of the flux reconstruction to a three‐dimensional computation is then demonstrated by simulating a jet at a Mach number of 0.9 and a diameter‐based Reynolds number of 4×105 on a Cartesian grid. The nonconforming grid interface located downstream of the jet potential core does not appreciably affect the flow development and the jet sound field, while reducing the number of mesh points by a factor of approximately two.