Miracle-dz/UniFAR-FTUs huggingface dataset:
Cigarette Smoking and Risk of Different Pathologic Types of Stroke: A Systematic Review and Dose-Response Meta-Analysis

Objectives To quantify the association of cigarette smoking, including cigarettes per day and quitting duration, with the risk of different types of stroke morbidity and mortality in the general population, and to clarify the shape of the dose-response relations. Study Selection Prospective cohort studies and reported on the association between smoking, quitting and the incidence or mortality of stroke were included. Data Extraction and Synthesis All available data were converted uniformly to odds ratios (ORs) and were pooled using random-effects meta-analysis with inverse variance weighting. A dose-response meta-analysis was performed to explore the quantitative relationship between different smoking characteristics and the risk of different pathologic types of stroke incidence. Results Twenty-five studies with 3,734,216 individuals were included. Compared to never smokers, the pooled ORs of stroke morbidity and mortality were 1.45 (1.24–1.70) and 1.44 (1.23–1.67) among ever smokers and 1.90 (1.55–2.34) and 1.70 (1.45–1.98) among current smokers. The risk of different pathologic types of stroke was also increased among ever and current smokers. There was a significant non-linear dose-response association between the number of cigarette smoking and the risk of stroke incidence. Comparing no smoking, the ORs for smoking five and 35 cigarettes per day were 1.44 (1.35–1.53) and 1.86 (1.71–2.02). Other pathologic types of stroke have a similar dose-response relationship. There was also non-linear dose-response association between the length of time since quitting and risk of stroke. The risk of stroke decreased significantly after quitting for 3 years [OR = 0.56 (0.42–0.74)]. Conclusion The risk of different types of stroke among smokers is remarkably high. Our findings revealed a more detailed dose-response relationship and have important implications for developing smoking control strategies for stroke prevention. Systematic Review Registration https://inplasy.com/inplasy-2020-6-0062/, identifier: INPLASY202060062.
Mechanism of CO2 Capacity Reduction of Flexible Metal-Organic Framework Caused by Water Adsorption

Elastic layer-structured metal-organic framework (MOF)-11 {ELM-11: [Cu(BF4)2 (4,4′-bipyridine)2]}, which is a crystalline porous material, is a promising adsorbent for high-throughput and high-efficiency separation processes of CO2 because of its peculiar adsorption characteristics originating from the flexibility of the crystal framework. However, the exposure of ELM-11 to water vapor has been reported to reduce its CO2 capacity, which is problematic for processing feed gases that contain a certain concentration of water vapor. In this study, we investigated the stability of ELM-11 against water vapor exposure to reveal the mechanism of CO2 capacity reduction. Our combined measurements of adsorption isotherms and X-ray diffraction patterns indicated that the CO2 capacity reduction was caused by the partial formation of a crystalline subphase upon adsorption of water molecules and the subsequent formation of an amorphous phase to relax the crystalline grain boundaries. Because a higher supply rate of water molecules resulted in a larger amount of subphase formation, we concluded that the structural subphase was a metastable kinetically controlled structure, formed through the rate-dependent adsorption of water molecules. These results suggest that slowing the adsorption rate is an effective approach to suppress the formation of the subphase; therefore, we proposed the covering of ELM-11 surfaces with porous shells. We used ELM-12 {[Cu(CF3SO3)2 (4,4′-bipyridine)2]} as a shell material because of its robust stability against water adsorption and affinity with ELM-11. The ELM-12 shell decreased the adsorption rate of water molecules compared with that of bare ELM-11, resulting in the suppression of subphase formation and preventing CO2 capacity reduction. Although further optimization of the shell thickness and coverage is required to keep the capacity completely unchanged, controlling the adsorption rate of water molecules is successfully demonstrated to be possible with shell formation, which is key for industrial applications of ELM-11.
Detecting emotions in a learning environment: a multimodal exploration

Learner-emotions are intrinsically linked with learning experiences and academic outcomes. Therefore, intelligent learning environments need to be emotion-aware to bring learners to their zone of proximal development. In this paper, we describe the first steps towards such a system. In this study, we manipulated task difficulty with the aim of detecting the physiological indicators of accompanying emotions, namely boredom/anger (during an easy task), enjoyment (during a moderately challenged task) and frustration/boredom (during a difficult task). Twenty-one adults (13 females and 8 males, Mage = 24.1 years) participated in a repeated-measures quasi-experimental set-up. Data were collected via Empatica E4 wristbands and self-reports. Results indicate that varying task difficulty may be associated with changes in skin temperature, phasic and tonic skin conductance, and heart rate. Findings encourage further exploration and thoughts on study design are discussed.
Development of line current differential relay over native Ethernet

Packet/frame-based communication services have been in general use for utility communications for a number of years with the exception of communications for protection and in particular line current differential protection. Recently, a number of utilities have begun to investigate the possibility of applying packet/frame-based communication supported by Ethernet Layer 2 (L2) for protection signaling between substations because of the high-speed performance, flexibility and maintainability it promises. However, tele-protection communications applications have been retained on legacy circuit-switched services such as PDH or SDH/SONET because of concerns with regard to jitter and channel asymmetry. Currently, dedicated multiplexers are provided for line current differential relays to utilise communication routes provided for power systems. If general communications services such as Ethernet can be applied to communication routes for protection purposes in the same way as for other power system communication services, then we can expect to reduce total system costs including that of the communication infrastructure. Therefore, we have developed a new line differential protection relay system using native Ethernet. In this paper, we will introduce the development specifications and evaluation test results.
Prediction of the Surface Roughness in Curve Grinding Based on Evolutionary Neural Networks

Artificial neural networks were introduced in the area of curve grinding. The prediction model of surface roughness in curve grinding based on back propagation (BP) algorithm was proposed. There are some disadvantages in BP algorithm, such as low rate of convergence, easily falling into local minimum point and weak global search capability. In order to settle these problems, a genetic algorithm was used to train BP neural network to replace classical learning algorithms. An evolutionary neural network learning algorithm was founded. The results of simulations and experiments show that the evolutionary neural network based genetic algorithm can effectively overcome the problem of falling into local minimum point. This method can get higher accuracy of predictions.
Enhanced Genetic Algorithm for Optimal E lectric Power Flow using TCSC and TCPS

An enhanced genetic algorithm (EGA) for the solution of the optimal power flow (OPF) with use of controllable FACTS devices is studied. Two types of FACTS devices, thyristor-controlled series compensator (TCSC) and thyristor-controlled phase shifter (TCPS) are considered in this method. The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem in addition to normal conventional constraints. The sensitivity analysis is carried out for the location of FACTS. This method can provide an enhanced economic solution with the use of controllable FACTS devices. Advanced and problem-specific operators are introduced in order to enhance the algorithm's efficiency and accuracy. IEEE standard 30-bus system is taken and results are presented to show the feasibility and potential of this approach.
Quantifying uncertainty in environmental flow assessments

Abstract Environmental flow proposals are normally justified by predictions of geomorphological and ecological responses. Uncertainty in these predictions is widely acknowledged but rarely quantified. This paper uses a Monte Carlo analysis to quantify the effects of multiple sources of uncertainty on the environmental flow required to flush fine sediments from a gravel bed reach of the Goulburn River, Victoria. Sources of uncertainty are associated with sampling, measurement and selection of model parameters. The volume of water required to mimic the natural sediment flushing regime is estimated to be 160 Gl/year. The uncertainty analysis provides a 90% confidence interval for this volume of 10 Gl/year to 360 Gl/year. The greatest source of uncertainty in this case is estimation of flow resistance (or Manning n) for the study reach. The study highlights the need for coordinating data collection and modelling when choosing environmental flows for rivers.
MR Fuzzy Semi-Active Control of Cables in Cable-Stayed Bridges Using Magnetorheological Dampers

A semi-active control strategy,the MR(Magnetorheological Dampers) dampers are used as actuator,is presented based on the fuzzy set theory.And the vibration control of the cables-dampers system is analyzed by the proposed strategy.The proposed method has some advantages of an inherent robustness,and easiness to handle the nonlinear characteristics of the structure because there is no longer the needs for an exact mathematical model of the structure,and need to know few input variables from the vibration sensors that will deal with the difficulty of testing response information of the structure vibration.The output of the present method is directly input to the MR damper as the input voltage and the fuzzy logical controller can be easy evaluated in the real Civil Engineering structure.Compared with the LQR-Clipped method,in which the MR dampers voltage only can be Zero or Maximum,the present method can make the voltage for MR dampers the desired value.As numerical examples,the practical cables are analyzed for free vibration,uniformed harmonic load,and the uniformed stochastic wind load respectively.The research results demonstrate that the present method can get better effectiveness than both of the Passive off and Passive On control,and almost the same effectiveness as LQR-Clipped strategy and has very good efficiency to reduce the vibration response.However,the smaller control force need in the present method than the LQR-Clipped method.It means that the proposed strategy can promote the efficiency of the MR Dampers.
Overview and Future Direction of Biological Control Technology

The Corps of Engineers (CE) biological control technology area had its beginnings in 1959 when the CE and the U. S. Department of Agriculture began a cooperative research effort. Since then, numerous insects and pathogens have been studied as potential agents for the management of target plant populations. Researchers have traveled to the countries of origin of six target plants ( Eichhornia crassipes Mart. (Solms), Alternanthera philoxeroides (Mart.) Griseb. , Myriophyllum spicatum L. , Pistia stratiotes L. , Hydrilla verticillata (L. F.) Royle, and Melaleuca quinquenervia (Cav.) S. T. Blake) to search for host specific agents. As a result, 13 insect biocontrol agents have been released as management tools for five of these targets. On average these projects have developed one agent every 2.9 years. The CE also has conducted pathogen biological control research using endemic pathogens. More recently the CE has begun classical biocontrol studies using exotic pathogens as potential agents of aquatic plants. Research in the near future will be directed at the management of submersed aquatic vegetation. The past successes will be used to assist in directing the program, however, new emphasis will be placed on the development of more effective evaluation procedures to document impact of the biological control agents.
FDI and ODA effects on recipient countries imports: Evidence from selected MENA countries

FDI, ODA and imports are highly related in economic literature. We aim to investigate the impact of both inward FDI and ODA on imports, in seven middle income MENA countries (Algeria, Egypt, Jordan, Lebanon, Morocco, Palestine, and Tunisia), for the period 2000 to 2019, using two econometric techniques, which are simultaneous equations, 3SLS, and Dynamic Panel Data system estimators. We found that FDI replaces imports that indicates the dominant types of market-seeking or/and platform FDI in the area. ODA shows a positive (negative) impacts on both imports (savings), respectively, which clarifies that ODA crowds out local savings, and increases imports. We recommended of a series of an ambitious policies that would enhance FDI role and reallocate ODA to replace imports and boost economic growth instead to suppress it, and allow for development use of ODA.
Trifactorisable groups

The group G is called trifactorisable if G has three subgroups, A, B, and C such that G = AB = BC = CA. Obviously the structure of the group G will be restricted by the structure of these subgroups. In this paper it will be shown that a finite group G is π-separable if and only if it satisfies Dπ and has a trifactorisation with two factors π closed and the third, C say, π-separable. In this case we show that the π- and π′-lengths of G can be at most one more than those of C, and so it is this factor which “controls” the structure of G. Similar results are proved for π-solubility and solubility.
The Adoption of ABC and the Improvement of Performance: The Case of the Central Bank of Morocco

The adoption of Activity-Based Costing (ABC) is motivated by the search for greater efficiency in the face of competitive pressures resulting from globalization, and particularly the introduction of high-quality and low-priced Asian-made products and services into the Moroccan markets. The search for greater efficiency through the application of ABC is still to be determined. The purpose of this paper is to examine the relations between ABC and performance, particularly on non financial performance. With this objective a field study was undertaken between 2007 and 2009 at the Central Bank of Morocco (Bank Al-Maghrib) to highlight the direct effects of ABC implementation on performance.
Proposition of PageRank based Decision Support System to Detect Bad Players in the MOBA Game

The MOBA game service is the one of the most interested game genre today. In MOBA games, the collaboration of team members and team strategy are vital elements together with the individual player's control capability. Thus bad players showing abnormal plays or appearances in games with embedded malicious intentions are surfaced as an important issue for the service providers. Several systems had been presented to cope with such players but it still would be difficult to judge each player through such systems. In this paper, the PageRank based decision support system to find and judge bad players will be presented. The presented system will use the numbers of player's reporting, numbers of each player's being reported by other players, and numbers of game participation to generate the Judgment Points and Bad Player Marks of each player to build up the Bad Player Ranking which could be helpful to search bad players in the game.
Are Analytical Techniques Worthwhile for Analog IC Placement?

Analytical techniques have long been a prevailing approach to digital IC placement due to their advantage in handling large-sized problems. Recently, they have been adopted for analog IC placement, an area where prior methods were mostly based on simulated annealing. However, a comparative study between the two classes of approaches is lacking. Moreover, the effectiveness of different analytical techniques is not clear. This work attempts to shed light on both issues by studying existing methods and developing a new analytical technique. Since prior analytical methods have not addressed circuit performance, a critical concern for automated analog layout, this work also extends the new analytical placer for performance-driven placement. Experiments on various test circuits show that for a conventional performance-oblivious formulation, the proposed analytical technique achieves 55x speedup and 12% wirelength reduction compared to simulated annealing. For performance-driven placement, the proposed technique outperforms simulated annealing in terms of circuit performance, area, and runtime. Moreover, the proposed technique generally provides better solution quality than an alternative analytical technique.
Asian Criminology and Non-Western Criminology: Challenges, Strategies, and Directions

Abstract Academic criminology originated in Western countries, primarily in Europe and in the USA. It has achieved great success, produced many influential theories, sophisticated methodology, academic institutions, and effective policy products, and has formed a productive paradigm, which has led to a flourishing discipline. However, as there have been growing critiques against “Western-centric” criminology, growing attention has turned to non-Western criminology. As Belknap has said, “We are in an exciting time in criminology, as the scholarship is becoming more global, collaborative, and interdisciplinary. ” This paper addresses several important disciplinary questions: the relationship between Western and non-Western criminology, the strategies of developing criminology under non-Western contexts, the relationship between context-dependent findings from the non-West and the scientific traditions that seek unified human knowledge of criminology. The article suggests a strategy for developing non-Western criminology based on the experience of the successful growth of Asian criminology over the past decade under the concept of an “Asian criminological paradigm. ”
Training and evaluation of virtual sensors for rooftop units

Vasudevan, Jebaraj. M.S.M.E. , Purdue University, December 2015. Training and Evaluation of Virtual Sensors for Rooftop Units. Major Professors: James E. Braun and Travis Horton, School of Mechanical Engineering. This thesis focuses on assessing and extending specific virtual sensors for rooftop units with micro-channel condensers, which are a growing part of the market. The rooftop unit virtual sensors provide low-cost measurements of the amount of refrigerant charge, cooling capacity and compressor power and are expected to be embedded within manufactured products in the factory. In addition, a low-cost approach for training the virtual refrigerant charge sensor in an open lab space was proposed and evaluated. The accuracy of virtual rooftop unit sensors were evaluated over a wide range of conditions using measurements obtained in environmental (psychrometric) chambers and were generally within ±10% of the values determined from more direct measurements. The concept of low-cost open lab training for virtual charge sensor along with some guidelines to choose open lab training points was evaluated and found to give similar accuracy as sensors trained using a wide range of operating conditions. The total cost of embedding the three virtual sensors in a rooftop unit at a factory would be in the range of $60 to $120 per unit. This is much less than the cost of directly measuring only two of the three quantities: unit cooling capacity and compressor power. There is no practical direct measurement method for the amount of refrigerant charge to enable cost comparisons with the cost of virtual charge sensing.
Toward a generalized notion of discrete time for modeling temporal networks

Abstract Many real-world networks, including social networks and computer networks for example, are temporal networks. This means that the vertices and edges change over time. However, most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion of time. In this paper, we therefore introduce a generalized notion of discrete time for modeling temporal networks. Our approach also allows for considering nondeterministic time and incomplete data, two issues that are often found when analyzing datasets extracted from online social networks, for example. In order to demonstrate the consequences of our generalized notion of time, we also discuss the implications for the computation of (shortest) temporal paths in temporal networks. In addition, we implemented an R-package that provides programming support for all concepts discussed in this paper. The R-package is publicly available for download.
Substation dynamic target tracking technology based on particle filter

In order to solve the undetected and lagged problem of video system caused by manual switching and visual judgment,the real-time detecting and automatic tracking technologies of substation dynamic target were studied.The background difference method was used to detect the moving target,and then an automatic target tracking method using color histogram of particle filter was presented.Using color as target character,the target status model and system model were established.The next,target position was determined.Sequentially,a video automatic identification of safety event tracking system of substation was developed.The results of application show that the time performance of algorithm is excellent.And the dynamic target can be detected and tracked quickly and precisely.Furthermore,the intelligent surveillance ability of substation can be improved effectively.
Multifaceted Approaches to Engineer Fluorescence in Nanomaterials via a Focused Laser Beam

Fluorescent nanomaterials have long been recognized as essential contributors to the advancement of material technologies. Over the years, the rapid expansion in this massive selection of materials has led to the emergence of systems with tunable and unique fluorescent properties, occupying pivotal roles across niche areas in imaging, photonics, micro-encryption, and steganographic applications. In recent years, research interest in the translation of laser-based operations towards the production and modulation of nanomaterial fluorescence has been reignited, owing to its ease of operation and low cost. In this paper, we summarize the assortment of laser operations for the fabrication, modification, and spatial positioning of various fluorescent nanomaterials, ranging from metallic nanoparticles, carbon dots, 2D ultrathin films to wide-bandgap nanomaterials, and upconversion nanocrystals. In addition, we evaluate the importance of laser-modified fluorescence for various applications and offer our perspective on the role of laser-based techniques in the forthcoming advancement of nanomaterials. ACCEPTED ARTICLE PREVIEW