Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of convective heat transfer coefficient for hot gas torch (HGT)-assisted automated fiber placement (AFP) for thermoplastic composites

In-situ manufacturing of thermoplastic composites using the automated fiber placement (AFP) process consists of heating, consolidation and solidification steps. During the heating step using hot gas torch (HGT) as a moving heat source, the incoming tape and the substrate are heated up to a temperature above the melting point of the thermoplastic matrix. The convective heat transfer occurs between the hot gas flow and the composites in which the convective heat transfer coefficient h plays an important role in the heat transfer mechanism which in turn significantly affects temperature distribution along the length, width and through the thickness of the deposited layers. Temperature is the most important process parameter in AFP in-situ consolidation that affects bonding quality, crystallization and consolidation. Although it is well known the convective heat transfer coefficient h is not constant and has a distribution, most studies have assumed a constant value for h for heat transfer analysis which leads to discrepancy between numerical and experimental results. In this study a new function is proposed to approximate the distribution of the convective heat transfer coefficient h in the vicinity of the nip point. Using the proposed convective heat transfer coefficient distribution, a three-dimensional finite element transient heat transfer analysis is performed to predict temperature distribution in the composite parts. An optimization loop is employed to find the free parameters of the distribution function so that the predicted temperature match experimental data. It is shown that, unlike other studies assuming constant h value, not only maximum temperature can be well predicted, but also predicted heating and cooling curves agree well with experimental results. The cooling rate is of significant importance in crystallization behavior and residual stress calculation.
Symmetric duality in complex spaces over cones

Duality theory plays an important role in optimization theory. It has been extensively used for many theoretical and computational problems in mathematical programming. In this paper duality results are established for first and second order Wolfe and Mond-Weir type symmetric dual programs over general polyhedral cones in complex spaces. Corresponding duality relations for nondifferentiable case are also stated. This work will also remove inconsistencies in the earlier work from the literature.
Human Motion State Recognition Based on Multi-input ConvLSTM

The human body generates acceleration signals during movement. After collecting and processing this signal, the movement state of the human body can be analyzed and the behavior of the human body can be judged. Human motion state recognition has a wide range of applications in fields such as health monitoring, somatosensory games, and user social behavior analysis. In this paper, the UCI data set collected by mobile phone sensors is used to build the model using convolutional long and short-term memory neural network (ConvLSTM) combined with multi-input CNN (Multi-head CNN), and combined with long and short-term memory neural network (LSTM) and convolutional memory Neural network (ConvLSTM) for comparative evaluation. The accuracy of the model in this paper reached 93.75%. Experimental results show that the new algorithm can more accurately classify and recognize the human motion state.
Fast and High-Resolution NLoS Beam Switching Over Commercial Off-the-Shelf mmWave Devices

The high directionality of mmWave communication makes its line-of-sight (LoS) path susceptible to blockage when the user is moving. Most existing solutions have very stringent requirements on the antennas of the transmitter and the receiver, which are hardly met by today’s consumer-level commercial off-the-shelf (COTS) mmWave products. In reality, a COTS device uses low-resolution wide-beam antennas, and hence cannot support the aforementioned methods for NLoS beam switching in response to the LoS blockage. In this paper, we develop a new method to support high-resolution mmWave multi-path channel resolving based on coarse-grained wide-beam phased array antennas. We design a novel real-time beam-switching algorithm that allows COTS devices to estimate the location and reflection coefficient of the dominant reflectors. Whenever the current LoS is blocked, our algorithm can compute in real-time the best alternative beam direction based on estimated reflectors to establish a strong NLoS link. We implemented the proposed algorithm on a COTS mmWave device and evaluated the system’s performance on the physical and transport layer. Our experiments demonstrate the effectiveness of our algorithm on estimating dominant reflectors and calculating strong alternative beam directions, and its efficacy in providing robust connections for COTS mmWave devices.
4G LTE Network Coverage Optimization Using Metaheuristic Approach

The main focus of this paper is to optimize the coverage of each 4G LTE network cell within the service area. There are many algorithms can be implemented to determine the optimal 4G LTE coverage area including the deterministic and heuristic approaches. The deterministic approach could solve accurately the optimization problem but need more resources and time consuming to determine the convergence parameters. Therefore, the heuristic approaches were introduced to improve the deterministic approach drawback. The methods used are the Differential Evolution Algorithm (DEA) and Adaptive Mutation Genetic Algorithm (AMGA), which are categorized as metaheuristic approach. The DEA and AMGA algorithms have been widely used to solve combinatorial problems, including for solving the network optimizations. In the network optimization, coverage is strongly related to 2 objectives, which are reducing the black spot area and decreasing the overlapping coverage areas. Coverage overlap is a condition when some cell sites in an area overlap. It implies in the occurrence of hand off and an inefficient network management. This research aims to obtain an optimal 4G LTE network coverage and reduce the overlapping coverage areas based on effective e-Node B arrangements by using the DEA and AMGA algorithms. The simulations results showed that the DEA algorithm’s coverage effectiveness was 23,4%, and the AMGA Algorithm’s was 16,32%.
Is God Listening to My Prayers? Initial Validation of a Brief Measure of Perceived Divine Engagement and Disengagement in Response to Prayer

Does God listen and respond to prayers? This project provided initial validation for a brief measure of perceived divine engagement and disengagement in response to prayer. As part of a larger project on religious/spiritual struggles among U.S. undergraduates, we used Sample 1 (n = 400) for exploratory factor analysis and Sample 2 (n = 413) for confirmatory factor analysis and initial validity testing. A two-factor model with four items per factor provided acceptable fit. On average, participants reported more divine engagement than disengagement. They endorsed items about God listening more than those about God responding. Divine engagement showed strong positive associations with religiousness and positive-valence variables involving God. Divine disengagement showed strong positive associations with variables suggesting divine struggle or distance. Importantly, both subscales also showed evidence of incremental validity: Divine engagement predicted positive-valence God variables (e.g., secure attachment, collaborative religious coping, gratitude to God, and awareness of God) even when controlling for religiousness and positive God concepts and attitudes. Divine disengagement predicted more spiritual struggles and more negative-valence and distance-related God variables (divine struggle, anxious and distant attachment, and self-directing religious coping) even when controlling for doubt about God’s existence, negative God images, anger/disappointment toward God, and concern about God’s disapproval. In short, this brief new measure shows promise as a tool to assess beliefs about God’s responsiveness to prayer.
Agro-physiological parameters for improving drought tolerance in rapeseed genotypes to cultivate in saline soils

ABSTRACT- This study was conducted to introduce agro-physiological traits for improving drought tolerant rapeseed winter genotypes for cultivation in saline areas. Eighteen rapeseed genotypes were evaluated under non-stressed and drought-stressed conditions from flowering and seed filling stages to seed maturity for two years (2012-2014) at the saline soils (EC=6.7 dS m-1) in Agricultural and Natural Resources Research and Education Center of East Azarbaijan, Iran. Drought stress significantly decreased pod length, plant height, seed yield, yield components and stomatal conductance and increased canopy temperature.Among the genotypes, significant differences were observed for pod length, the number of seeds in a pod, seed and oil yields, and stomatal conductance. The correlations among the traits were significantly positive. According to the results of genotypes grouping, HW101, L183, L73, and L72 having higher pod length, the number of seeds in a pod, stomatal conductance, seed and oil yields, which were recognized as the promising ones. The results of this study indicated that, the pod length, the number of seeds in a pod and stomatal conductance as simple and easy parameters can be used to select late season drought tolerant rapeseed winter genotypes for cultivation in saline areas. Also, the cluster analysis method was able to discriminate productive genotypes. Water deficit during flowering and seed filling stages, decreased the mean of seed yields by 800 and 584 Kg h-1 during the first year and 1764 and 1154 Kg h-1 during the second year of the experiment, of this study respectively. Thus, it was concluded that the evaluated rapeseed genotypes at the flowering stage were more sensitive to drought compared to the seed filling stage.
Validation of oxygen consumption measurements during artificial ventilation.

: We describe a system for the absolute calibration of indirect calorimeters, under the conditions of artificial ventilation and increased inspired O2 concentration, in which butane, at a measured flow rate, is burned downstream of an artificial lung. One milliliter of butane requires 6.4 ml O2 for its combustion, and the respiratory quotient is 0.615. With the closed-circuit O2-replenishment method there was no significant systematic error in the measurement of either O2 consumption or CO2 output and a random error with a SD of 8.3 ml/min for O2 consumption and 6.3 ml/min for CO2 output. There were no significant differences in the errors with inspired O2 concentrations between 23.8 and 59.5% and O2 consumptions between 89 and 366 ml/min.
High school entrance exam system evaluation from the perspective of mathematics teachers

The aim of this study was to examine the opinions of secondary school math teachers regarding the examination system for the transition to high school which was implemented for the first time in 2017-2018 academic year in Turkey. The research was conducted in the second semester of 2018-2019 academic year, a semi-structured interview form was used as data collection tool. In addition, the sample of the study consisted of 30 math branch teachers working in central secondary schools across a province in Eastern Anatolia. The interview form consisted of 6 open-ended questions prepared by the researchers after receiving expert opinions. Content analysis method was used in analyzing the data. As a result of findings, it was understood that while some of the teachers had positive opinions about this new exam, some others had negative thoughts.
A novel route to size-controlled MIL-53(Fe) metal–organic frameworks for combined chemodynamic therapy and chemotherapy for cancer

Metal–organic frameworks (MOFs), such as MIL-53(Fe), have considerable potential as drug carriers in cancer treatment due to their notable characteristics, including controllable particle sizes, high catalytic activity, biocompatibility and large porosity, and are widely used in a broad range of drugs. In this study, a new approach for the synthesis of MIL-53(Fe) nanocrystals with controlled sizes has been developed using a non-ionic surfactant PVP as the conditioning and stabilizing agent, respectively. During the nucleation of MIL-53(Fe), the PVP droplet, as a nano-reactor, controlled the growth of the crystal nucleus. The size and aspect ratio (length/width) of nanocrystals increased with an increase in PVP in the synthetic mixture. The MIL-53(Fe) nanocrystals showed a homogeneous morphology, with approximately 190 nm in length and 100 nm in width. MIL-53(Fe) not only was used to load the anticancer drug doxorubicin (DOX) but also generated hydroxyl radicals (˙OH) via a Fenton-like reaction for ROS-mediated/chemo-therapy of cancer cells. The approach was expected to synthesize numerous types of nano-size iron(iii)-based MOFs, such as MIL-53, 89, 88A, 88B and 101. The MIL-53(Fe) nanocrystals hold great promise as a candidate to improve the controlled release of drugs and treatment effect for cancer therapy.
Mechanical Properties of Graphene Oxide Coupled by Multi-Physical Field: Grain Boundaries and Functional Groups

Graphene and graphene oxide (GO) usually have grain boundaries (GBs) in the process of synthesis and preparation. Here, we “attach” GBs into GO, a new molecular configuration i.e., polycrystalline graphene oxide (PGO) is proposed. This paper aims to provide an insight into the stability and mechanical properties of PGO by using the molecular dynamics method. For this purpose, the “bottom-up” multi-structure-spatial design performance of PGO and the physical mechanism associated with the spatial structure in mixed dimensions (combination of sp2 and sp3) were studied. Also, the effect of defect coupling (GBs and functional groups) on the mechanical properties was revealed. Our results demonstrate that the existence of the GBs reduces the mechanical properties of PGO and show an “induction” role during the tensile fracture process. The presence of functional groups converts in-plane sp2 carbon atoms into out-of-plane sp3 hybrid carbons, causing uneven stress distribution. Moreover, the mechanical characteristics of PGO are very sensitive to the oxygen content of functional groups, which decrease with the increase of oxygen content. The weakening degree of epoxy groups is slightly greater than that of hydroxyl groups. Finally, we find that the mechanical properties of PGO will fall to the lowest values due to the defect coupling amplification mechanism when the functional groups are distributed at GBs.
Design and Simulation of information processing system based on digital PCR

In order to meet the demand of real-time data acquisition and analysis in the process of digital PCR detection, this paper proposes a high-speed data acquisition system and design scheme based on FPGA. The system uses FPGA as the signal acquisition platform, USB interface as the data transmission module, develops a set of real-time acquisition and processing software, and proposes a peak extraction algorithm based on Chebyshev inequality. The algorithm improves the peak detection accuracy, shortens the peak extraction time, and reduces the requirements for software and hardware. The system can monitor and analyze the data signal. It provides a reliable basis for the later data processing, and has strong engineering practice.
Knowledge Mapping of Migraine: a Bibliometric Analysis (2000-2019)

Background: There has been rapid development of migraine research in the past 20 years in China and around the world. We analyzed the development trend of migraine research, and made a bibliometric analysis on the growth trend of the total number of publications, countries, institutions, authors, cited references and keywords from 2000 to 2009 and 2010 to 2019 by applying visualization software, and constructed the relevant knowledge map, and found the trends and hot spots in the field through comparison. Methods: Retrieved the literature on migraine in the Web of Science database from 2000-2009 and 2010-2019 respectively, and then utilized CiteSpace to conduct bibliometric analysis to acquire the knowledge mapping. Results: The total number of publications each year has increased year by year, and the average annual growth rate from 2000 to 2009 was 7.999%, while from 2010 to 2019 was 5.348%, with a faster growth rate from 2000 to 2009. According to the cluster analysis of institutions, authors, cited references, and keywords, 10/11, 12/11, 12/11, and 8/9 categories were obtained from 2000 to 2009 and 2010 to 2019 respectively. The most productive countries, institutions, and authors are the USA, Albert Einstein College of Medicine, and Lipton RB from 2000 to 2009 and 2010 to 2019, whose frequency is 4274/7107, 322/592, and 279/472 respectively. However, the most important of them are Belgium/ Pakistan, Houston Headache Clin/ Amgen Inc, and Lipton RB/ Klatt J, owing to their highest centrality, they are 1.20/1.08, 1.13/1.32, and 1.22/0.89 separately. Moreover, Cited references that contributed to the most co-citations are Silberstein SD (2004)/ Bes A (2013) from 2000 to 2009 and 2010 to 2019, however, the most vital cited reference is Welch KMA (2001)/ Goadsby PJ (2017). Keywords such as migraine, headache, prevalence, and the double blind are the most frequently used. But prevalence is the crucial keyword. In the cluster analysis of institutions, authors, cited references, and keywords from 2000 to 2009 and 2010 to 2019, the more convincing research categories are potential anti-migraine agent/ chronic migration prevention, reducing headache recurrence/ following symptomatic treatment, to-left shunt/ placebo controlled phase, spectrum study/ family study hemiplegic migraine, with S values of 0.952/0.956, 0.985/0/986, 0.981/0.970 and 0.985/0.982 respectively. Furthermore, the hotspots in this field are “stimulation”, “triptan” from 2000 to 2009 and 2010 to 2019. Conclusion: Based on the bibliometric analysis in the past 20 years, the knowledge mapping of the country, institution, author, cited reference, and the keyword is gained, which has an important guiding significance for quickly and accurately positioning the trend in this field.
Subchannel Assignment and Power Allocation for Time-Varying Fog Radio Access Network With NOMA

To satisfy future wireless network’s requirements of huge capacity, ultra low delay and supermassive connectivity, it is urgent to study novel wireless communication network architecture and technology. Fog-computing radio access network (F-RAN) is a newly developed network paradigm, in which the edge devices perform the storage, communication, control, configuration and management. Meanwhile, non-orthogonal multiple access (NOMA) has been considered to be a hopeful multiple access mechanism for future radio access networks (RANs). The distinctive feature of NOMA is to assign the same channel for various users simultaneously by utilizing the power domain. With the deployment of NOMA, F-RAN can further promote system throughput, time latency, access capability and spectrum efficiency. The coordination between NOMA and F-RAN provides powerful support to extensive application of augmented/virtual reality (AR/VR), vehicular networking, intelligent medical and other emerging applications. In this paper, we focus on a noncooperative game resource optimization to decrease the complexity while the dynamic optimization problem is decoupled to subchannel assignment and power allocation. Matching theory is applied to propose a subchannel assignment scheme. Then, we convert and decouple the power allocation problem into three subproblems and solve them separately at each slot. Simulation results illustrate the potency of the proposed noncooperative resource allocation scheme.
End-to-End Recurrent Cross-Modality Attention for Video Dialogue

Visual dialogue systems need to understand dynamic visual scenes and comprehend semantics in order to converse with users. Constructing video dialogue systems is more challenging than traditional image dialogue systems because the large feature space of videos makes it difficult to capture semantic information. Furthermore, the dialogue system also needs to precisely answer users’ question based on comprehensive understanding of the videos and the previous dialogue. In order to improve the performance of video dialogue system, we proposed an end-to-end recurrent cross-modality attention (ReCMA) model to answer a series of questions about a video from both visual and textual modality. The answer representation of the question is updated based on both visual representation and textual representation in each step of the reasoning process to have a better understanding of both modalities’ information. We evaluate our method on the challenging DSTC7 video scene-aware dialog dataset and the proposed ReCMA achieves a relative 20.8% improvement over the baseline on CIDEr.
Attitude Control on SU(2): Stability, Robustness, and Similarities

This letter concerns trajectory tracking control of attitude dynamics configured on SU(2). Inspired by a popular geometric tracking controller on SO(3), differential geometric tools are used to derive both continuous and discontinuous attitude controllers on the SU(2) manifold, relating these to preexisting controllers operating with imaginary quaternion errors. Additionally, a robustness result is given for the controllers on SU(2), which is illustrated by simulation examples.
Long and Short-Run Relationship Between Agricultural and Industrial Sectors’ Growth in Ethiopian Economy: Application of the Co-Integration and Error Correction Model (ECM)

The objective of this paper was to examine an equilibrium long run relationship and short impact of agricultural sector on the industrial sector and to determine the direction of causality in Ethiopia's economy using annual time series data ranging from 1991-2015 obtained from the World Development Indicators (WDI) database. The time was related to the implementation of the Ethiopian agricultural led industrialization (ADLI) strategy policy to food security and poverty reduction objectives of the country. The Johansen Co-integration test result showed that the data were co-integrated of the ordered one. The Johansen’s co-integration tests, both trace and max-trace statistical tests was significant at 1% critical values indicated that there was a strong long-run equilibrium relationship between agricultural and industrial sectors. The Johansen restricted normalized equations error correction model (ECM) indicated that agricultural has long run positive significant impact on industrial sector but not vice versa. Marginal analysis result indicated that increases agricultural by one percent, being other factors held constant, the industrial sector output increase by 3.39% due to economic multiplier effect. Granger pairwise causality test revealed that there exists unidirectional causality from industry to agriculture sector. In the long-run growth come from agriculture to industry and in the short run agricultural growth is caused by industry. Therefore, ADLI economic growth strategy should strengthened the sectors forward and backward linkages to bring balance and rapid sectorial growth that support the entire economic growth of the country. Keywords :ADLI, Co-Integration, Ethiopia, Industry, Integration, VECM. DOI: 10.7176/JESD/12-1-02 Publication date: January 31 st 2021