bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discussion on the design of solar aerator for fish pond
Authors: Rao Guoran , Chen Songtao 
Published: August 2021

Abstract
The solar energy is used as the power of the aerator in the solar aerator for fish pond to provide sufficient oxygen for fishes in pond, which meets the needs of general aquaculture. In this paper, solar energy is used as the power source of aerator, and weak current DC aerator replaces the traditional existing strong alternating aerator. The system comprises of a polycrystalline solar panel square array, solar panel bracket, controller, colloidal battery, DC aeration blower, micro-porous aeration coil, DC-DC regulated adjustable power supply module, DC brushless water spray aerator, etc. The experimental results show that the solar aerator can work for 6.5 hours per day on average. Furthermore, after adding the DC-DC regulated and adjustable power supply module, the voltage and the current of the solar aerator are relatively stable. Therefore, the aerator has a noticeable effect on the dissolved oxygen in the water, and it can effectively and stably provide the necessary oxygen for the fish pond.
“Factory-like” horizontal well plan optimization techniques in tight oil exploration—A case study in Fuyu oil-bearing layer of Y63 well block, Northern Songliao Basin
Authors: Sun Hailei , Zhu Zhengyuan 
Published: August 2021

Abstract
In Zhaoyuan region of Sanzhao Depression, Fuyu oil layer is of considerable resource potential, and its tight reservoir is continuous and extensively oil-bearing. How to improve the deliverability of tight reservoir, however, is still a major problem facing explorationists. As for the sweet spot Y63 in Zhaoyuan region, this paper uses well logging, well testing and laboratory test data to identify the geological characteristics of F II 1, determines the sand body boundaries of the sweet spot by means of seismic attributes and geostatistical inversion, and then carry out batches of horizontal well plans on the same platform. The drilling result of five horizontal wells shows that the oil layer thickness ranges from 934m to 1177m, with an average of 1080m. By comparison with its adjacent straight wells, the deliverability of horizontal well is improved by a factor of 5-12. This proves the advantage and feasibility of the horizontal well plan proposed in this paper.
High frequency sequence stratigraphic framework and sedimentary characteristics of P oil layer in the southern part of A area
Authors: Zhang Xu 
Published: August 2021

Abstract
Based on the high resolution sequence stratigraphy theory, 42 wells and 2745 well logging curves are used to study the evolution of all levels of base level cycles and the development pattern of high-resolution sequence in the P reservoir in the southern part of Songfangtun area. The results show that the 4 sequence interface of the grape flower beds in the Songfangtun area can be divided into 2 medium-term, 5 short term and 12 ultra short term sequences. On this basis, the sedimentary microfacies type and distribution evolution law have been carried out. It is considered that the shallow water delta depositional system is developed in P reservoir in the Songfangtun area. The main development of delta front subfacies is to identify 8 kinds of microfacies such as subwater distributary channel, inter channel, inter channel, slime, overflow sand, mouth fan, estuarine dam, far sand bar and mat sand. The underwater distributary channel sandbodies are widely developed at the front of the delta. Due to frequent bifurcations and diversions, the underwater distributary channel sandbodies cut and overlap each other, forming branches and striped sand bodies. The sandbody reservoir has good physical property and is the main reservoir sand body with oil and gas enrichment. The detailed study of sedimentary microfacies provides a reference for further exploration and development of lithologic reservoirs in this area.
Co-relation between mechanical properties and porosity in thick, thin and thinnest sections of stepped casted workpiece using A-356 Aluminum alloy
Authors: Jamal Quaid , Shah Feroz , Nawaz Ahmad , Bibi Saira , Islam Bilal , Ali Ahad 
Published: August 2021

Abstract
A-356 aluminum alloy stepped casted workpiece were prepared with step casting technique was investigated for the mechanical properties and porosity defects using various gating elements (ingate/runner) profiles. Similarly, casted workpieces were produced using single and double gating elements with circular (vortex free), square and rectangular runner and ingate profiles. Hardness (HV) and ultimate tensile strength (UTS) of the thick section prepared from single circular runner/ingate system was more in comparison to thin and thinnest sections extracted at respective heights. Similarly, hardness and tensile strengths of thick specimen prepared from double ingate/runner having circular shape was found greater in comparison to thin and thinnest sections accordingly. SEM images depicted increase of porosity levels in thin and thinnest sections prepared from single or double within workpiece manufactured from circular runner & ingate arrangements respectively. In addition, X-ray diffraction results further revealed increase in crystallite size, hardness and tensile strength for specimens manufactured through circular profiled single or double runner/ingate arrangement. The prepared specimens also follow inverse Hall-Petch and D
2/%P statistical fit with p < 0.05 between hardness and crystallite size. Hence, the specimen with lower crystallite size or finer grains depicted attenuated mechanical properties due to higher porosity levels. In other words, D
2/%P index ratio value <1.40 (≥95% data points follows) exhibited reductions in mechanical properties accompanied by decreasing crystallite size and vise-versa. Moreover, double gating runner & ingate combination exhibited comparatively lesser pores relative to single gating design. Hence, this study suggests double runner & ingate arrangement accompanied with circular cross-section are appropriate for large size step castings or complicated geometries production in foundries.
Microstructure evolution and corrosion behavior of 316L stainless steel subjected to torsion
Authors: Zhang Pengyan , Han Weixue , Huang Zhenyi , Li Guisheng , Zhang Mingya , Li Jinghui 
Published: August 2021

Abstract
The microstructure evolution of 316L stainless steels subjected to torsion deformation and its corrosion resistance in 1 M H2SO4 solutions were studied. Microstructure evolution of the annealed and torsion-processed samples was characterized by x-ray diffraction and electron backscatter diffraction techniques. The results showed that no martensitic transformation occurred during torsion deformation, while dynamic recrystallization occurred within the samples slowing down the tendency of increasing dislocation density and storage energy. Electrochemical tests including potentiodynamic polarization tests and electrochemical impedance spectroscopy (EIS) were used in the 1 M H2SO4 solution to evaluate the corrosion resistance of the annealed and torsion-processed samples. The results illustrated that small deformation (torsion for 1 turn) could enhance the corrosion resistance of the 316L stainless steels by increasing the stability of the passive film, the medium deformation (torsion for 3 turns) will deteriorate the corrosion resistance due to high-density dislocations formed during torsion deformation, while large deformation (torsion for 5 turns) could improve the corrosion resistance compared with the medium deformation due to the occurrence of dynamic recrystallization and the high-density deformation twins formed.
Estimations of ambient fine particle and ozone level at a suburban site of Beijing in winter
Authors: Liu Weixuan , Yang Zheng , Liu Qingyang 
Published: August 2021

Abstract
Estimates of PM2.5 and O3 in suburban areas are of importance for assessing exposure risk and epidemiological studies of air pollution where large scale and long-term measurements network are absent. To fulfill this goal, our study develops a flexible approach to predict levels of PM2.5 and O3 at a suburban site of Beijing using multilayer perceptron (MLP) neural network analysis with the inputs of gaseous air pollutants (CO, SO2, NO, and NO2) and meteorological parameters (wind direction, wind speed, temperature, pressure and humidity). Daily ambient data of PM2.5, O3, PM10, CO, SO2, NO, and NO2 were estimated using hourly data collected from January 20 to March 10 in the years from 2016–2020 at a suburban site of Beijing, respectively. Ambient measured levels of PM2.5 and O3 were compared with the output estimates of PM2.5 and O3 through MLP neural network analysis with limited input variables. Overall, MLP neural network analysis could explain 97% of measured PM2.5 mass and 82% of measured O3 level with R2 values of 0.983 and 0.905, respectively. This approach could be helpful for reconstruct historical PM2.5 and O3 levels in suburban areas.
2022 Roadmap on integrated quantum photonics
Authors: Moody Galan , Sorger Volker J , Blumenthal Daniel J , Juodawlkis Paul W , Loh William , Sorace-Agaskar Cheryl , Jones Alex E , Balram Krishna C , Matthews Jonathan C F , Laing Anthony , Davanco Marcelo , Chang Lin , Bowers John E , Quack Niels , Galland Christophe , Aharonovich Igor , Wolff Martin A , Schuck Carsten , Sinclair Neil , Lončar Marko , Komljenovic Tin , Weld David , Mookherjea Shayan , Buckley Sonia , Radulaski Marina , Reitzenstein Stephan , Pingault Benjamin , Machielse Bartholomeus , Mukhopadhyay Debsuvra , Akimov Alexey , Zheltikov Aleksei , Agarwal Girish S , Srinivasan Kartik , Lu Juanjuan , Tang Hong X , Jiang Wentao , McKenna Timothy P , Safavi-Naeini Amir H , Steinhauer Stephan , Elshaari Ali W , Zwiller Val , Davids Paul S , Martinez Nicholas , Gehl Michael , Chiaverini John , Mehta Karan K , Romero Jacquiline , Lingaraju Navin B , Weiner Andrew M , Peace Daniel , Cernansky Robert , Lobino Mirko , Diamanti Eleni , Vidarte Luis Trigo , Camacho Ryan M 
Published: August 2021

Abstract
Integrated photonics will play a key role in quantum systems as they grow from few-qubit prototypes to tens of thousands of qubits. The underlying optical quantum technologies can only be realized through the integration of these components onto quantum photonic integrated circuits (QPICs) with accompanying electronics. In the last decade, remarkable advances in quantum photonic integration have enabled table-top experiments to be scaled down to prototype chips with improvements in efficiency, robustness, and key performance metrics. These advances have enabled integrated quantum photonic technologies combining up to 650 optical and electrical components onto a single chip that are capable of programmable quantum information processing, chip-to-chip networking, hybrid quantum system integration, and high-speed communications. In this roadmap article, we highlight the status, current and future challenges, and emerging technologies in several key research areas in integrated quantum photonics, including photonic platforms, quantum and classical light sources, quantum frequency conversion, integrated detectors, and applications in computing, communications, and sensing. With advances in materials, photonic design architectures, fabrication and integration processes, packaging, and testing and benchmarking, in the next decade we can expect a transition from single- and few-function prototypes to large-scale integration of multi-functional and reconfigurable devices that will have a transformative impact on quantum information science and engineering.
Bilayer MoS2 on silicon for higher terahertz amplitude modulation
Authors: Jakhar Alka , Kumar Prabhat , Husain Sajid , Dhyani Veerendra , Chouksey Abhilasha , Rai Prashant Kumar , Rawat J S , Das Samaresh 
Published: August 2021

Abstract
The terahertz (THz) amplitude modulation has been experimentally demonstrated by employing bilayer molybdenum disulfide (MoS2) on high-resistivity silicon (Si). The Raman spectroscopy and x-ray photoelectron spectra confirm the formation of bilayer MoS2 film. The THz transmission measurements are carried out using a continuous wave (CW) frequency-domain THz system. This reveals the higher modulation depth covering wide THz spectra of 0.1–1 THz at low optical pumping power. The modulation depth up to 72.3% at 0.1 THz and 62.8% at 0.9 THz under low power optical excitation is achieved. After annealing, the strong built-in electric field is induced at the MoS2–Si interface due to p-type doping in MoS2. This improves modulation depth to 86.4% and 79.7%, respectively. The finite-difference time-domain (FDTD) based numerical simulations match well with the experimental results. The higher modulation depth at low optical power, broadband response, low insertion losses, and simplicity in the design are the key attributes of this THz modulator.
Physiological Impacts of Surgical Mask Coverage of Elastomeric Half-mask Respirator Exhalation Valves in Healthcare Workers
Authors: Zhuang Eileen , Thurman Paul , Chen Hegang H , McDiarmid Melissa A , Hines Stella E 
Published: August 2021

AbstractObjectivesElastomeric half-mask respirator (EHMR) use in healthcare increased significantly during the COVID-19 pandemic. Concern for potential release of infectious aerosols from EHMR exhalation valves prompted recommendations to cover them with surgical masks (SMs), thereby improving source control. The physiological and subjective effects of wearing a SM over the exhalation valve of an EHMR, however, are unknown.MethodsTwelve healthy healthcare worker volunteers completed a 30-min series of simulated healthcare-related tasks, including resting, talking, walking, and bending, proning and supinating a weighted manikin, and performing cardiopulmonary resuscitation. This series recurred three times with different mask configurations—SM only, EHMR only, or EHMR with SM covering the exhalation valve. A transcutaneous sensor continuously measured carbon dioxide (tcPCO2), oxygen saturation (SpO2), and heart rate (HR) from each subject. Subjects scored their rates of perceived exertion (RPE) and levels of discomfort after each round. Physiological parameters and subjective scores were analyzed using mixed linear models with a fixed effect for mask type, activity, age, body mass index (BMI), and gender. Analysis also tested for interaction between mask type and activity.ResultsPhysiological parameters remained within normal ranges for all mask configurations but varied by task. Statistically significant but small decreases in mean tcPCO2 (37.17 versus 37.88 mmHg, P &lt; 0.001) and SpO2 (97.74 versus 97.94%, P &lt; 0.001) were associated with wearing EHMR with SM over the exhalation valve compared with EHMR alone. Mean HR did not differ between these mask configurations. Wearing SM only was associated with lower RPE and level of discomfort compared with EHMR, but these subjective scores did not differ when comparing EHMR with SM to EHMR only. Age, BMI, and gender had no significant effect on any outcomes.ConclusionsWearing a SM over an EHMR did not produce clinically significant changes in tcPCO2, SpO2, or HR compared with uncovered EHMR during healthcare-related tasks. Covered EHMR use also did not affect perceived exertion or discomfort compared with uncovered EHMR use. Covering the exhalation valve of an EHMR with a SM for source control purposes can be done safely.
High-throughput single-cell RNA-seq data imputation and characterization with surrogate-assisted automated deep learning
Authors: Li Xiangtao , Li Shaochuan , Huang Lei , Zhang Shixiong , Wong Ka-chun 
Published: August 2021

Abstract
Single-cell RNA sequencing (scRNA-seq) technologies have been heavily developed to probe gene expression profiles at single-cell resolution. Deep imputation methods have been proposed to address the related computational challenges (e.g. the gene sparsity in single-cell data). In particular, the neural architectures of those deep imputation models have been proven to be critical for performance. However, deep imputation architectures are difficult to design and tune for those without rich knowledge of deep neural networks and scRNA-seq. Therefore, Surrogate-assisted Evolutionary Deep Imputation Model (SEDIM) is proposed to automatically design the architectures of deep neural networks for imputing gene expression levels in scRNA-seq data without any manual tuning. Moreover, the proposed SEDIM constructs an offline surrogate model, which can accelerate the computational efficiency of the architectural search. Comprehensive studies show that SEDIM significantly improves the imputation and clustering performance compared with other benchmark methods. In addition, we also extensively explore the performance of SEDIM in other contexts and platforms including mass cytometry and metabolic profiling in a comprehensive manner. Marker gene detection, gene ontology enrichment and pathological analysis are conducted to provide novel insights into cell-type identification and the underlying mechanisms. The source code is available at https://github.com/li-shaochuan/SEDIM.
Determining the number of factors in high-dimensional generalized latent factor models
Authors: Chen Y , Li X 
Published: August 2021

Summary
As a generalization of the classical linear factor model, generalized latent factor models are useful for analysing multivariate data of different types, including binary choices and counts. This paper proposes an information criterion to determine the number of factors in generalized latent factor models. The consistency of the proposed information criterion is established under a high-dimensional setting, where both the sample size and the number of manifest variables grow to infinity, and data may have many missing values. An error bound is established for the parameter estimates, which plays an important role in establishing the consistency of the proposed information criterion. This error bound improves several existing results and may be of independent theoretical interest. We evaluate the proposed method by a simulation study and an application to Eysenck’s personality questionnaire.
Situating Crime Pattern Theory Into The Explanation Of Co-Offending: Considering Area-Level Convergence Spaces
Authors: Rowan Zachary R , Appleby Sarah , McGloin Jean Marie 
Published: August 2021

AbstractFeatures of the environment including activity nodes and the level of connectivity in spaces help offenders develop awareness spaces for criminal opportunities. Based on arguments forwarded by Felson, the current study argues these environmental features also facilitate convergence spaces that promote interaction among offenders that increase the likelihood of group crime. Data include street connectivity measures from the Environmental Protection Agency and publicly available arrest information from Baltimore City (2013–16). Findings provide support for the influence of certain activity nodes and pedestrian-oriented street connectivity in explaining group crime. The discussion evaluates how crime pattern theory can be extended to understand the social nature of crime.
CALCR knockdown inhibits the development and progression of non-small-cell lung cancer
Authors: He Tao , Ling Feng 
Published: August 2021

Abstract
G-protein-coupled receptors (GPCRs) have been reported to participate in the occurrence and development of a variety of human cancers. CALCR is one of the hundreds of GPCRs, but its expression level and functional importance have never been investigated in non-small-cell lung cancer (NSCLC). In the present study, the protein expression level of CALCR was detected by immunohistochemical staining and western blot analysis. The Celigo cell counting assay was used to assess cell proliferation. Both the wound-healing assay and the transwell assay were performed to evaluate cell migration. Flow cytometric analysis was utilized to detect cell apoptosis and cell cycle. A mouse xenograft model was constructed to conduct the in vivo experiments. The results indicated that the CALCR expression was abundantly up-regulated in NSCLC and positively related to tumor infiltrate. Besides, CALCR knockdown could significantly suppress cell proliferation, migration, enhance apoptosis and arrest cell cycle. The in vivo study verified the inhibitory effects of CALCR knockdown on NSCLC tumorigenesis. The abovementioned results provided a reference for the treatment of NSCLC, that was, CALCR knockdown might be a considerable therapeutic strategy.
Divergence in salinity tolerance of northern Gulf of Mexico eastern oysters under field and laboratory exposure
Authors: Marshall Danielle A , Casas Sandra M , Walton William C , Rikard F Scott , Palmer Terence A , Breaux Natasha , La Peyre Megan K , Beseres Pollack Jennifer , Kelly Morgan , La Peyre Jerome F 
Published: August 2021

Abstract
The eastern oyster, Crassostrea virginica, is a foundation species within US Gulf of Mexico (GoM) estuaries that has experienced substantial population declines. As changes from management and climate are expected to continue to impact estuarine salinity, understanding how local oyster populations might respond and identifying populations with adaptations to more extreme changes in salinity could inform resource management, including restoration and aquaculture programs. Wild oysters were collected from four estuarine sites from Texas [Packery Channel (PC): 35.5, annual mean salinity, Aransas Bay (AB): 23.0] and Louisiana [Calcasieu Lake (CL): 16.2, Vermilion Bay (VB): 7.4] and spawned. The progeny were compared in field and laboratory studies under different salinity regimes. For the field study, F1 oysters were deployed at low (6.4) and intermediate (16.5) salinity sites in Alabama. Growth and mortality were measured monthly. Condition index and Perkinsus marinus infection intensity were measured quarterly. For the laboratory studies, mortality was recorded in F1 oysters that were exposed to salinities of 2.0, 4.0, 20.0/22.0, 38.0 and 44.0 with and without acclimation. The results of the field study and laboratory study with acclimation indicated that PC oysters are adapted to high-salinity conditions and do not tolerate very low salinities. The AB stock had the highest plasticity as it performed as well as the PC stock at high salinities and as well as Louisiana stocks at the lowest salinity. Louisiana stocks did not perform as well as the Texas stocks at high salinities. Results from the laboratory studies without salinity acclimation showed that all F1 stocks experiencing rapid mortality at low salinities when 3-month oysters collected at a salinity of 24 were used and at both low and high salinities when 7-month oysters collected at a salinity of 14.5 were used.