bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trajectory to local extinction of an isolated dugong population near Okinawa Island, Japan
Authors: Kayanne Hajime , Hara Takeshi , Arai Nobuaki , Yamano Hiroya , Matsuda Hiroyuki 
Published: April 2022

AbstractA small animal population becomes extinct owing to demographic and environmental stochasticity after declining below the minimum viable population (MVP). However, the actual process of extinction derived by stochastic factors after crossing MVP has not been recorded for long-lived marine mammals. Here, we reconstructed the declining history of a small, isolated population of dugongs in Okinawa over 125 years. The initial population size of approximately 280–420 in the nineteenth century declined to approximately < 100 in 1917 because of overfishing, < 70 in 1979, 11 in 1997, 3 after 2006, and all known individuals disappeared or died by 2019. After 1979, a decline in the natural growth rate has led to extinction. Long-lived animals may persist for a few decades after the population falls below the MVP, at which time active conservation measures, such as captive breeding, should be implemented.
Propagation graph estimation from individuals’ time series of observed states
Authors: Hayashi Tatsuya , Nakamura Atsuyoshi 
Published: April 2022

AbstractVarious things propagate through the medium of individuals. Some individuals follow the others and take the states similar to their states a small number of time steps later. In this paper, we study the problem of estimating the state propagation order of individuals from the real-valued state sequences of all the individuals.We propose a method of constructing a state propagation graph from individuals’ time series of observed states. The propagation order estimated by our proposed method is demonstrated to be significantly more accurate than that by a baseline method (optimal constant delay model) for our synthetic datasets, and also to be consistent with visually recognizable propagation orders for the dataset of Japanese stock price time series and biological cell firing state sequences.
SINS/BDS tightly coupled integrated navigation algorithm for hypersonic vehicle
Authors: Chen Kai , Pei Sen-sen , Zeng Cheng-zhi , Ding Gang 
Published: April 2022

AbstractA tightly coupled integrated navigation system (TCINS) for hypersonic vehicles is proposed when the satellite signals are disturbed. Firstly, the architecture of the integrated navigation system for the hypersonic vehicle is introduced. This system applies fiber SINS, BeiDou satellite receiver (BDS) and System On a Parogrammable Chip (SOPC) missile-born computer. Subsequently, the SINS mechanization for hypersonic vehicle is presented. The J2 model is employed for the normal gravity of the near space. An algorithm for updating the attitude, velocity and position is designed. State equations and measurement equations of SINS/BDS tightly coupled integrated navigation for hypersonic vehicle are given, and a scheme of validity for satellite data is designed. Finally, the SINS/BDS tightly coupled vehicle field tests and hardware-in-the-loop (HWIL) simulation tests are carried out. The vehicle field test and HWIL simulation results show that the heading angle error of tightly coupled integrated navigation is within 0.2°, the pitch and roll angle errors are within 0.05°, the maximum velocity error is 0.3 m/s, and the maximum position error is 10 m.
Radical pairs may play a role in microtubule reorganization
Authors: Zadeh-Haghighi Hadi , Simon Christoph 
Published: April 2022

AbstractThe exact mechanism behind general anesthesia remains an open question in neuroscience. It has been proposed that anesthetics selectively prevent consciousness and memory via acting on microtubules (MTs). It is known that the magnetic field modulates MT organization. A recent study shows that a radical pair model can explain the isotope effect in xenon-induced anesthesia and predicts magnetic field effects on anesthetic potency. Further, reactive oxygen species are also implicated in MT stability and anesthesia. Based on a simple radical pair mechanism model and a simple mathematical model of MT organization, we show that magnetic fields can modulate spin dynamics of naturally occurring radical pairs in MT. We propose that the spin dynamics influence a rate in the reaction cycle, which translates into a change in the MT density. We can reproduce magnetic field effects on the MT concentration that have been observed. Our model also predicts additional effects at slightly higher fields. Our model further predicts that the effect of zinc on the MT density exhibits isotopic dependence. The findings of this work make a connection between microtubule-based and radical pair-based quantum theories of consciousness.
Periodic sea-level oscillation in Tokyo Bay detected with the Tokyo-Bay seafloor hyper-kilometric submarine deep detector (TS-HKMSDD)
Authors: Tanaka Hiroyuki K. M. , Aichi Masaatsu , Balogh Szabolcs József , Bozza Cristiano , Coniglione Rosa , Gluyas Jon , Hayashi Naoto , Holma Marko , Joutsenvaara Jari , Kamoshida Osamu , Kato Yasuhiro , Kin Tadahiro , Kuusiniemi Pasi , Leone Giovanni , Lo Presti Domenico , Matsushima Jun , Miyamoto Hideaki , Mori Hirohisa , Nomura Yukihiro , Okamoto Naoya , Oláh László , Steigerwald Sara , Shimazoe Kenji , Sumiya Kenji , Takahashi Hiroyuki , Thompson Lee F. , Tokunaga Tomochika , Yokota Yusuke , Paling Sean , Varga Dezső 
Published: April 2022

AbstractMeteorological-tsunami-like (or meteotsunami-like) periodic oscillation was muographically detected with the Tokyo-Bay Seafloor Hyper-Kilometric Submarine Deep Detector (TS-HKMSDD) deployed in the underwater highway called the Trans-Tokyo Bay Expressway or Tokyo Bay Aqua-Line (TBAL). It was detected right after the arrival of the 2021 Typhoon-16 that passed through the region 400 km south of the bay. The measured oscillation period and decay time were respectively 3 h and 10 h. These measurements were found to be consistent with previous tide gauge measurements. Meteotsunamis are known to take place in bays and lakes, and the temporal and spatial characteristics of meteotsunamis are similar to seismic tsunamis. However, their generation and propagation mechanisms are not well understood. The current result indicates that a combination of muography and trans-bay or trans-lake underwater tunnels will offer an additional tool to measure meteotsunamis at locations where tide gauges are unavailable.
Role of phlebotomy in the treatment of liver damage related to erythropoietic porphyria
Authors: Hagiwara Satoru , Nishida Naoshi , Ida Hiroshi , Ueshima Kazuomi , Minami Yasunori , Takita Masahiro , Aoki Tomoko , Morita Masahiro , Chishina Hirokazu , Komeda Yoriaki , Yoshida Akihiro , Park Ah-Mee , Sato Masako , Kawada Akira , Nakano Hajime , Nakagawa Hiroshi , Kudo Masatoshi 
Published: April 2022

AbstractLiver damage affects the prognosis of patients with erythropoietic protoporphyria (EPP). However, there is no radical cure for EPP patients with severe liver damage. This study aims to investigate the effectiveness of phlebotomy in patients with severe liver damage. We examined seven patients diagnosed with EPP and liver damage between 2010 and 2020. Of the 7 cases, phlebotomy was performed in 3 cases with severe hepatic disorder, and the improvement effect of hepatic disorder was observed in all cases. In addition, as an additional study, we also investigated the mechanism by which liver damage becomes more severe. Liver biopsy samples were stained with hematoxylin and eosin and immunohistochemistry was used to examine the expression of adenosine triphosphate-binding transporter G2 (ABCG2). Liver biopsies were performed in 3 of 7 patients with EPP. Of these three patients, ABCG2 expression was low in two patients, especially in the protoporphyrin (PP) deposition area. Two patients with reduced ABCG2 expression subsequently developed severe liver damage. However, the causal relationship between the decreased expression of ABCG2 and the exacerbation of liver damage has not been directly proved, and further investigation is required in the future. This study demonstrated the effectiveness of phlebotomy in EPP patients with severe liver damage.
Recent advances in removal of Congo Red dye by adsorption using an industrial waste
Authors: Harja Maria , Buema Gabriela , Bucur Daniel 
Published: April 2022

AbstractThe Congo Red dye was removed from a simulated textile wastewater solution using fly ash from a local power plant. The characterisation of fly ash was studied in detail by SEM, EDX, XRD, FTIR, BET surface area and TGA techniques. The influence of four parameters (contact time, initial concentration, adsorbent dose, and temperature) was analysed, the results showing that the adsorption capacity depends on these parameters. Thermodynamic and regeneration investigations as well are presented. The fit to pseudo-second-order kinetics models suggests that the removal process is a chemical adsorption. The Langmuir model fitted the experimental data, with a maximum adsorption capacity of 22.12 mg/g. The research is a preliminary case study that highlights that fly ash posed a very good potential as a material for Congo Red dye removal.
Collagen-coated superparamagnetic iron oxide nanoparticles as a sustainable catalyst for spirooxindole synthesis
Authors: Azarnier Shima Ghanbari , Esmkhani Maryam , Dolatkhah Zahra , Javanshir Shahrzad 
Published: April 2022

AbstractIn this work, a novel magnetic organic–inorganic hybrid catalyst was fabricated by encapsulating magnetite@silica (Fe3O4@SiO2) nanoparticles with Isinglass protein collagen (IGPC) using epichlorohydrin (ECH) as a crosslinking agent. Characterization studies of the prepared particles were accomplished by various analytical techniques specifically, Fourier transform infrared (FTIR) analysis, scanning electron microscopy (SEM), transmission electron microscopy (TEM), vibrating sample magnetometry (VSM), energy-dispersive X-ray spectroscopy (EDS), X-ray powder diffraction (XRD), thermogravimetric analysis (TGA), and Brunauer−Emmett−Teller (BET) analysis. The XRD results showed a crystalline and amorphous phase which contribute to magnetite and isinglass respectively. Moreover, the formation of the core/shell structure had been confirmed by TEM images. The synthesized Fe3O4@SiO2/ECH/IG was applied as a bifunctional heterogeneous catalyst in the synthesis of spirooxindole derivatives through the multicomponent reaction of isatin, malononitrile, and C-H acids which demonstrated its excellent catalytic properties. The advantages of this green approach were low catalyst loading, short reaction time, stability, and recyclability for at least four runs.
Evaluation of resource and environmental carrying capacity in rare earth mining areas in China
Authors: Bai Jingjing , Xu Xin , Duan Yaoting , Zhang Guangyu , Wang Zhe , Wang Lu , Zheng Chunli 
Published: April 2022

AbstractRare earth elements are a nonrenewable and important strategic resource, and China is rich in these elements. However, the substantial exploitation of these resources has caused the migration, diffusion, transformation and accumulation of pollution sources, which in turn has a profound impact on the ecological environment of mining areas. Accurate evaluations of resource and environmental carrying capacity (RECC) are important for the green development of mining areas. In this paper, the fuzzy comprehensive evaluation method based on the combination of the AHP (Analytic Hierarchy Process) and entropy methods is used to study the RECC of mine areas in terms of both support capacity and pressure. The Bayan Obo mine in Inner Mongolia, the Longnan mine in Jiangxi, the Weishan mine in Shandong, the Mianning mine in Sichuan, the Pingyuan mine in Guangdong, and the Chongzuo mine in Guangxi, which are typical representative mines, were selected for a horizontal comparison. The results show that, with the exception of the Bayan Obo mine, the support index was greater than the pressure index in terms of mining and human activities in all mining areas. The RECC index ranked order for the mining areas was Bayan Obo > Longnan > Mianning > Pingyuan > Weishan > Chongzuo. In addition, an obstacle degree model was used to identify and extract the main factors affecting the ecological quality of the mine sites. The ratio of investment in environmental pollution control to GDP was the most important factor, of all factors, which limited the improvement in the mine support index. Through the above research, we identified the main factors affecting the ecological carrying capacity of each mining area, providing a scientific basis for formulating corresponding environmental regulations and reducing the environmental pollution caused by rare earth mining.
An 8-year clinical experience with diagnosis and treatment of adrenal lesions with calcification
Authors: Dai Jun , Xie Jialing , Yang Kai , He Wei , Sun Fukang , Xu Danfeng , Jiang Min , Zhao Juping 
Published: April 2022

AbstractAdrenal lesions with calcification are uncommon and surgical indication remains controversial. We evaluate rational indications for surgical intervention of adrenal lesions with calcification. From 2013 to 2021, 75 adrenal lesions with calcification managed with surgery had necessary studies for evaluation of rational surgical indication. Clinical benefit was defined as relief of symptoms or/and removal of the malignant tumors. Influencing factors for clinical benefit were evaluated by logistic regression. During the past 8-year period, 5057 patients received adrenal surgery in our center and 75 (1.5%) patients were accompanied with calcification, including 34 males and 41 females with a median age of 54 years (IQR = 41–63 years). The median maximum diameter of calcified adrenal lesions on preoperative CT imaging was 4.2 cm (IQR = 3.0–5.9 cm). Clinical benefit was achieved in 22 cases, including 4 cases of malignant tumors and 18 cases of relieved clinical symptoms. Correlation analysis indicated that maximum diameter of the lesion was significantly correlated with clinical benefit (p = 0.025). The maximum diameter in benefit group vs. non-benefit group was 5.5 cm (IQR = 3.7–7.4 cm) vs. 3.7 cm (IQR = 2.8–5.4 cm). AUC of the maximum diameter ROC curve of adrenal lesions was 0.662. The diameter, sensitivity and specificity corresponding to the maximum Youden index value were 4.5 cm, 0.682 and 0.623, respectively. Clinical benefit was not significantly correlated with calcification distribution (peripheral or internally scattered) (P = 0.106), calcification area ≥ 50% (P = 0.617) and internal enhancement of the lesion (P = 0.720). Adrenal lesions with calcification are mostly benign. Clinical benefit is significantly correlated with the maximum diameter of the lesion and 4.5 cm may be considered as the cutoff point of surgical intervention.
Identification of dyes and matrices for dye doped polymer waveguide emitters covering the visible spectrum
Authors: Paz L. F. , Caño-García M. , Geday M. A. , Otón J. M. , Quintana X. 
Published: April 2022

AbstractPolymer based photonic devices offer the possibility cost effective roll-to-roll manufacture of photonic devices. The incorporation of luminescent dopants within a solid polymer waveguide allows for the generation of light within the device avoiding tedious mechanical light coupling. However, when a dopant is embedded in a solid matrix, depending on its concentration and the nature of materials involved, the emitted light may be quenched due to aggregation effects. In this work, thin films and ridge waveguides processed by UV-photolithography have been successfully obtained from a selection of standard photopolymerizable organic monomers, SU8, EpoCore and OrmoStamp doped with a selection of standard dyes like Rhodamine-B, Coumarin-540A and Pyrromethene-580. All structures were manufactured on glass substrates. An analysis of the solubility and optical properties including band gap energy, absorption coefficient ($$\alpha $$α) and fluorescence of the doped photoresists at different concentrations has been performed. Photoresists doped with Rhodamine-B shows a higher energy of indirect allowed band gap transition (2.04–2.09 eV) compared to previously reported pure Rhodamine-B thin films (1.95–1.98 eV). Fabrication protocols of dye doped photoresists covering the entire visible spectrum is established.
Scalp attached tangential magnetoencephalography using tunnel magneto-resistive sensors
Authors: Kanno Akitake , Nakasato Nobukazu , Oogane Mikihiko , Fujiwara Kosuke , Nakano Takafumi , Arimoto Tadashi , Matsuzaki Hitoshi , Ando Yasuo 
Published: April 2022

AbstractNon-invasive human brain functional imaging with millisecond resolution can be achieved only with magnetoencephalography (MEG) and electroencephalography (EEG). MEG has better spatial resolution than EEG because signal distortion due to inhomogeneous head conductivity is negligible in MEG but serious in EEG. However, this advantage has been practically limited by the necessary setback distances between the sensors and scalp, because the Dewar vessel containing liquid helium for superconducting quantum interference devices (SQUIDs) requires a thick vacuum wall. Latest developments of high critical temperature (high-Tc) SQUIDs or optically pumped magnetometers have allowed closer placement of MEG sensors to the scalp. Here we introduce the use of tunnel magneto-resistive (TMR) sensors for scalp-attached MEG. Improvement of TMR sensitivity with magnetic flux concentrators enabled scalp-tangential MEG at 2.6 mm above the scalp, to target the largest signal component produced by the neural current below. In a healthy subject, our single-channel TMR-MEG system clearly demonstrated the N20m, the initial cortical component of the somatosensory evoked response after median nerve stimulation. Multisite measurement confirmed a spatially and temporally steep peak of N20m, immediately above the source at a latency around 20 ms, indicating a new approach to non-invasive functional brain imaging with millimeter and millisecond resolutions.
Real world data of anticoagulant treatment in non-valvular atrial fibrillation across renal function status
Authors: Calderon Jose Miguel , Martinez Fernando , Fernandez Antonio , Sauri Inmaculada , Diaz Javier , Uso Ruth , Trillo Jose Luis , Redon Josep , Forner Maria Jose 
Published: April 2022

AbstractThe objective is to assess the impact of anticoagulant treatment in non-valvular atrial fibrillation (AF) and different categories of renal dysfunction in real world. Electronic Health recordings of patients with diagnosis of AF and renal function collected throughout 5 years and classified according to KDIGO categories. Stroke, transitory ischemic attack (TIA), intracranial hemorrhage and all-cause mortality were identified. Anticoagulant treatments during the study period were classified in untreated (never received therapy), VKA, NOAC and Aspirin. The risk of events was calculated by Cox-proportional hazard models adjusted by confounders. A total of 65,734 patients with AF, mean age 73.3 ± 10.49 years old and 47% females and follow-up of 3.2 years were included. KDIGO classification were: G1 33,903 (51.6%), G2 17,456 (26.6%), G3 8024 (12.2%) and G4 6351 (9.7%). There were 8592 cases of stroke and TIA, 437 intracranial hemorrhage, and 9603 all-cause deaths (incidence 36, 2 and 38 per 103 person/year, respectively). 4.1% of patients with CHA2DS2-VASc Score 2 or higher did not receive anticoagulant therapy. Risk of stroke, TIA, and all-cause mortality increased from G1 to G4 groups. Anticoagulant treatments reduced the risk of events in the four categories, but NOAC seemed to offer significantly better protection. Renal dysfunction increases the risk of events in AF and anticoagulant treatments reduced the risk of stroke and all-cause mortality, although NOAC were better than VKA. Efforts should be done to reduce the variability in the use of anticoagulants even in this high risk group.
Polarization based discrete variables quantum key distribution via conjugated homodyne detection
Authors: Ramos Mariana F. , Pinto Armando N. , Silva Nuno A. 
Published: April 2022

AbstractOptical homodyne detection is widely adopted in continuous-variable quantum key distribution for high-rate field measurement quadratures. Besides that, those detection schemes have been being implemented for single-photon statistics characterization in the field of quantum tomography. In this work, we propose a discrete-variable quantum key distribution (DV-QKD) implementation that combines the use of phase modulators for high-speed state of polarization (SOP) generation, with a conjugate homodyne detection scheme which enables the deployment of high speed QKD systems. The channel discretization relies on the application of a detection threshold that allows to map the measured voltages as a click or no-click. Our scheme relies also on the use of a time-multiplexed pilot tone—quantum signal architecture which enables the use of a Bob locally generated local oscillator and opens the door to an effective polarization drift compensation scheme. Besides that, our results shows that for higher detection threshold values we obtain a very low quantum bit error rate (QBER) on the sifted key. Nevertheless, due to huge number of discarded qubits the obtained secure key length abruptly decreases. From our results, we observe that optimizing the detection threshold and considering a system operating at 500 MHz symbol generation clock, a secure key rate of approximately 46.9 Mbps, with a sifted QBER of $$1.5\%$$1.5%over 40 km of optical fiber. This considering the error correction and privacy amplification steps necessary to obtain a final secure key.
Oxygen reduction reaction catalyzed by carbon composites with ruthenium-doped iron oxide nanoparticles
Authors: Liu Qiming , Zhou Hong Bo , Nichols Forrest , Kuo Han-Lin , Mercado Rene , Lu Bingzhang , Zhu Weiya , Liu Yashu , Lu Jennifer Q. , Bridges Frank , Chen Shaowei 
Published: April 2022

Carbon nanocomposites with Ru-doped Fe2O3 nanoparticles are derived from a Fe–Ru–Fe trinuclear complex and zeolitic imidazolate framework 8 and exhibit excellent electrocatalytic activity towards oxygen reduction reaction, comparable to that of Pt/C.
Accurate electricity consumption prediction using enhanced long short‐term memory
Authors: Chinnaraji Ragupathi , Ragupathy Prakash 
Published: April 2022

AbstractIn the present era, the exponential growth in the human population and technological advancements has dramatically increased the power demand. As electricity is being used at the same time as it is produced at the power plant, effective forecasting of energy usage is crucial for maintaining a reliable power supply. In this work, a novel deep learning model named enhanced long short‐term memory (E‐LSTM) is proposed to accurately predict electricity consumption in advance as this deep learning model will accurately predict the electricity consumption by adjusting the number of hidden layers and optimizing the hyper‐parameters. Until attaining high accuracy, hyper‐parameters like learning rate (LR) and epochs along with hidden layers are adjusted to analyze the relative performance of the model. Also, rectified linear activation function alleviates the vanishing gradient problem of the model. Also, this work evaluated the seven LR policies using crucial policy (CP) benchmark on keras framework. Experiments using various evaluation criteria demonstrate that the developed E‐LSTM model is efficient. When comparing some of the other state‐of‐the‐art forecasting techniques, it has the lowest values of mean square error (MSE), mean absolute error (MAE), and root mean square error (RMSE) over the UC Irvine (UCI) residential building dataset.