Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat Transfer Characteristics of High-Temperature Dusty Flue Gas from Industrial Furnaces in a Granular Bed with Buried Tubes

Experimental heat transfer equipment with a buried tube granular bed was set up for waste heat recovery of flue gas. The effects of flue gas inlet temperature (1096.65–1286.45 K) and cooling water flow rate (2.6–5.1 m3/h) were studied through experiment and computational fluid dynamics’ (CFD) method. On the basis of logarithmic mean temperature difference method, the total heat transfer coefficient of the granular bed was used to characterize its heat transfer performance. Experimental results showed that the waste heat recovery rate of the equipment exceeded 72%. An increase in the cooling water flow rate and inlet gas temperature was beneficial to recovering waste heat. The cooling water flow rate increases from 2.6 m3/h to 5.1 m3/h and the recovery rate of waste heat increases by 1.9%. Moreover, the heat transfer coefficient of the granular bed increased by 4.4% and the inlet gas temperature increased from 1096.65 K to 1286.45 K. The recovery rate of waste heat increased by 1.7% and the heat transfer coefficient of the granular bed rose by 26.6%. Therefore, experimental correlations between the total heat transfer coefficient of a granular bed and the cooling water flow rate and inlet temperature of dusty gas were proposed. The CFD method was used to simulate the heat transfer in the granular bed, and the effect of gas temperature on the heat transfer coefficient of granular bed was studied. Results showed that the relative error was less than 2%.
A Multilayer Steganography Method with High Embedding Efficiency for Palette Images

SUMMARY Embedding e ﬃ ciency is an important issue in steganography methods. Matrix embedding (1 , n , h ) steganography was proposed by Crandall to achieve high embedding e ﬃ ciency for palette images. This paper proposes a steganography method based on multilayer matrix embedding for palette images. First, a parity assignment is provided to increase the image quality. Then, a multilayer matrix embedding ( k , 1 , n , h ) is presented to achieve high embedding e ﬃ ciency and capacity. Without modifying the color palette, hk secret bits can be embedded into n pixels by changing at most k pixels. Under the same capacity, the embedding e ﬃ ciency of the proposed method is compared with that of pixel-based steganography methods. The comparison indicates that the proposed method has higher embedding e ﬃ ciency than pixel-based steganography methods. The experimental results also suggest that the proposed method provides higher image quality than some existing methods under the same embedding e ﬃ - ciency and capacity.
Sustainable resource management in a supply chain: a methodological proposal combining zero-inflated fuzzy time series and clustering techniques

PurposeThe purpose of this paper is to analyze demand forecast strategies to support a more sustainable management in a pallet supply chain, and thus avoid environmental impacts, such as reducing the consumption of forest resources.Design/methodology/approachSince the producer presents several uncertainties regarding its demand logs, a methodology that embed zero-inflated intelligence is proposed combining fuzzy time series with clustering techniques, in order to deal with an excessive count of zeros.FindingsA comparison with other models from literature is performed. As a result, the strategy that considered at the same time the excess of zeros and low demands provided the best performance, and thus it can be considered a promising approach, particularly for sustainable supply chains where resources consumption is significant and exist a huge variation in demand over time.Originality/valueThe findings of the study contribute to the knowledge of the managers and policymakers in achieving sustainable supply chain management. The results provide the important concepts regarding the sustainability of supply chain using fuzzy time series and clustering techniques.
Effect of composition and size of the reference population in genotype imputation efficiency of INDUSCHIP in HF Crossbred cattle

© Abstract: The objective of this study was to investigate the effect of composition and size of the reference population in imputation efficiency of INDUSCHIP v2 in Indian HF crossbred cattle. Data set consisted of a total of 869 cattle from 14 Indicine breeds, 2 crossbreds (HF and Jersey crossbreds) and 2 exotic breeds (HF, Jersey) genotyped with Illumina BovineHD (Illumina, San Diego, CA) panel. Post QC, 846 animals and 449955 SNPs remained for imputation study. 3 test groups each with randomly selected 25 HFCB animals with subset genotype of INDUSCHIP v2 were created, whereas with HD genotyping data of remaining animals, 3 different categories of reference groups were created namely reference 1 (HF, Jersey, all 14 Indicine breeds, HF and Jersey crossbreds), reference 2 (HF, HF crossbred, Sahiwal, Gir and Kankrej ) and reference 3 (pure HF, Sahiwal, Gir and Kankrej). Imputation efficiency of INDUSCHIP v2 was expressed in terms of concordance rate and Dosage R2 (DR2). Reference groups 1 and 2 were found to be better than Reference group 3. Further, the size of the reference population had an impact on imputation efficiency. The concordance rate and DR2 decreased with decline about population size. However, a reference population with 280 animals was found to be sufficient to obtain a concordance rate of around 95% or more and DR2 around 0.93. More number of HF, HF crossbred, Sahiwal, Gir and Kankrej animals need to be HD genotyped and incorporated in the reference population to improve the imputation efficiency of INDUSCHIP
Description of Aphelenchoides hamospiculatus n. sp. (Aphelenchoidea: Aphelenchoididae) from Golestan province, north Iran

Two populations of Aphelenchoides hamospiculatus n. sp. were recovered from natural forests in eastern regions of Golestan province, north Iran. Both populations were morphologically similar. The new species is described and illustrated herein. The females of the type population, recovered from soil, measured 467-550 μm long, and females of the second population, from bark, measured 545-666 μm long. It is mainly characterised by having five lines in the lateral fields, a subcylindrical tail and a single centrally located mucron at the female tail tip with fine nodules, giving it a warty appearance. It is further characterised by having a cephalic region separated from the rest of the body by a shallow constriction, stylet with small swellings at base, large median bulb with slightly post-centrally located, well sclerotised valvular plates and post-vulval uterine sac 56-63 μm long in the type population. The males have spicules with a remarkable narrowing at the distal two-thirds, well-developed condylus with rounded end, small rostrum slightly bent inwards and a hook-like tip of the dorsal limb; and three pairs of cloacal + caudal papillae (the single precloacal papilla, P1, is lacking). The new species was morphologically compared with three species of the genus having five lines in the lateral fields, similar species with no data on their lateral lines, and those with similar spicules and a female tail end bearing a warty mucron. The molecular phylogenetic relationships of the new species using partial small and large subunit ribosomal RNA gene (SSU and LSU rDNA) sequences are discussed.
Identification of Kernel Memory Corruption Using Kernel Memory Secret Observation Mechanism

SUMMARY Countermeasures against attacks targeting an operating system are highly e ﬀ ective in preventing security compromises caused by kernel vulnerability. An adversary uses such attacks to overwrite credential information, thereby overcoming security features through arbitrary program execution. CPU features such as Supervisor Mode Access Prevention, Supervisor Mode Execution Prevention and the No eXecute bit facilitate access permission control and data execution in virtual memory. Additionally, Linux reduces actual attacks through kernel vulnerability affects via several protection methods including Kernel Address Space Lay-out Randomization, Control Flow Integrity, and Kernel Page Table Isolation. Although the combination of these methods can mitigate attacks as kernel vulnerability relies on the interaction between the user and the kernel modes, kernel virtual memory corruption can still occur (e.g., the eBPF vulnerability allows malicious memory overwriting only in the kernel mode). We present the Kernel Memory Observer (KMO), which has a secret observation mechanism to monitor kernel virtual memory. KMO is an alternative design for virtual memory can detect illegal data manipulation / writing in the kernel virtual memory. KMO determines kernel virtual memory corruption, inspects system call arguments, and forcibly unmaps the direct mapping area. An evaluation of KMO reveals that it can detect kernel virtual memory corruption that contains the defeating security feature through actual kernel vulnerabilities. In addition, the results indicate that the system call overhead latency ranges from 0.002 µ s to 8.246 µ s, and the web application benchmark ranges from 39.70 µ s to 390.52 µ s for each HTTP access, whereas KMO reduces these overheads by using tag-based Translation Lookaside Bu ﬀ ers.
Shock interactions, coping strategy choices and household food security

ABSTRACT Agriculture-based livelihoods in developing countries are often challenged by a multitude of unforeseeable shocks, but economic research mostly focuses on single shocks. This paper investigates how climate, health, pest and price shocks individually and in combination relate to farm households’ coping strategy choices. First, we use binary probit models to examine how interactions from coinciding shocks relate to coping strategy choices. Next, we assess how coping strategies relate to household food security in a recursive framework. We find that when shocks are considered individually, the nature of shocks and their duration affect the likelihood of using savings. However, when climate shocks interact with health, pest or price shocks, there are incremental effects that increase the probability of depleting household assets to cope. Our findings suggest that governmental and non-governmental organizations should support rural farm households in managing the effects of multiple shocks through the provision and enhancement of markets for labour, insurance and outputs as well as formal safety nets. This support will help them to protect their assets and foster long-term wealth creation for escaping chronic poverty and food insecurity.
Influence of 3D Earth Structure on Glacial Isostatic Adjustment in the Russian Arctic

Analyses of glacial isostatic adjustment (GIA) and deglacial relative sea‐level (RSL) change in the Russian Arctic deliver important insights into the Earth's viscosity structure and the deglaciation history of the Eurasian ice sheet complex. Here, we validate the 1D GIA models ICE‐6G_C (VM5a) and ICE‐7G_NA (VM7) and select new 3D GIA models in the Russian Arctic against a quality‐controlled deglacial RSL database of >500 sea‐level data points from 24 regions. Both 1D models correspond to the RSL data along the southern coast of the Barents Sea and Franz Josef Land from ∼11 ka BP to present but show notable misfits (>50 m at 10 ka BP) with the White Sea data. We find 3D model predictions of deglacial RSL resolve most of the misfits with the observed data for the White Sea while retaining comparable fits in other regions of the Russian Arctic. Our results further reveal: (a) RSL in the western Russian Arctic is sensitive to elastic lithosphere with lateral thickness variation and 3D viscosity structure in the upper mantle; and (b) RSL in the whole Russian Arctic is less sensitive to 3D viscosity structure in the lower mantle compared to the upper mantle. The 3D models reveal a compromise in the upper mantle between the background viscosity and scaling factor to best fit the RSL data, which needs to be considered in future 3D GIA studies.
Emotional and Spiritual Intelligence of Future Leaders: Challenges for Education

The study was focused on understanding emotional and spiritual intelligence, and leadership linkages. The aim of the study was to explore the relationship between emotional and spiritual intelligence and self-leadership skills of university students in the fields of management, as potential future leaders. The data were collected using three scales: Emotional Intelligence Scale (WLEIS), Spiritual Intelligence Inventory (SISRI-24), and Self-Leadership questionnaire. The study was conducted among 190 university students. The results obtained show that there are connections between emotional and spiritual intelligence and self-leadership. The study may be a good starting point for further research in this field and lead to reflection about spiritual knowledge on the leadership education program.
Revisit intention and satisfaction: The role of destination image, perceived risk, and cultural contact

Abstract This paper explores the relationship between destination image, cultural contact, perceived risk, satisfaction, and the revisit intention of international tourists to Binh Thuan province in Vietnam based on data obtained from 405 international tourists. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) techniques, the study delivered two key results. The first finding is that revisit intention is directly affected by satisfaction, attractiveness, accommodation service, cultural contact, and perceived risk. Secondly, satisfaction is directly affected by attractiveness, accommodation service, cultural contact, and perceived risk. These results confirm the moderating role of both nationality and marital status on the relationships from cultural contact and attractiveness to satisfaction, but not revisit intention. However, the research has certain limitations: (i) due to the limited resources available to conduct the research, the sample size was limited to 405 international tourists in Binh Thuan province; and (ii) this study conducted sampling using direct interview methods of tourists during the peak season.
TRANSFER PROCESSES IN RHEOLOGICAL MEDIA MATHEMATICAL SIMULATION OF THE SWIRLING FLOW OF A THERMOVISCOUS, PSEUDOPLASTIC SISCO FLUID IN A CYLINDRICAL CHANNEL

The swirling fl ow of a thermoviscous, pseudoplastic Sisco fl uid in a cylindrical channel was investigated. It was established that, in the case of irrotational fl ow of a pseudoplastic fl uid in such a channel, the effective viscosity of the fl uid in the neighborhood of the channel axis is substantially increased. A swirling of this fl ow leads to an increase in the rate of shear deformation of the fl uid in the axial region of the fl ow and to a decrease in its effective viscosity. As the swirling of the fl ow in the channel increases, the fl uid near the channel walls and the fl uid at the boundary of the recirculation zone are subjected to a dissipative heating leading to a decrease in their effective viscosity. The intensity heating of the fl uid in the channel increases with increase in the rate of swirling (the Rossby number) of its fl ow.
Robust adaptive repetitive control for a class of nonlinear periodically time-varying systems

This paper presents a robust adaptive repetitive control (RARC) method for a class of periodically time-varying nonlinear systems with aperiodic uncertainties. A σ modification is introduced in the learning algorithm of RARC, in order to guarantee robustness of the system undertaken. The closed-loop type learning algorithm is examined and it is shown that the realisability cannot be assured when the σ modification is applied. To avoid the causality contradiction, an open-loop type learning algorithm with switching σ modification is proposed to guarantee robustness and achieve the asymptotic convergence of the tracking error, when the disturbances disappear. Extension to the RARC for robotic manipulators is given and the numerical simulation is carried out to verify the effectiveness of the learning control scheme.
Deep Eigen Space Based ASL Recognition System

Sign language is the art of communicating using hand gestures. The communication between an impaired person and the one who doesn't understand sign language could be easy using the computer as a tool. Inconsistent previous works in the field posed a need for more stable and effective model. We take an efficient step in order to tackle the problem of automatic fingerspelling recognition system using the concept that in order to efficiently perceive things, human brain alters some of the information. Moreover, the comparison between previous works and our model is mentioned systematically in this paper. Also, the model is capable to classify the real-time sign without dependency on environment.
The compliant centrifugal pendulum as the vibration absorber with second-order elasto-kinematic approximation

Centrifugal dampers are used to reduce the vibrations and irregularities of motion of rotating parts subjected to torque perturbations. Compliant mechanisms can be used for building compact and simple embodiments of such devices. On the other hand, the elasto-kinematic behaviour of compliant structures requires a more accurate design with respect to standard solutions. The study discusses a methodology for designing compliant centrifugal dampers based on the arrangement of a collection of leaf flexure hinges connecting peripheral masses. The design is based on the equations of motion written under the approximation of an equivalent pseudo-rigid assembly. To preserve accuracy, the pseudo-rigid surrogate model is deduced taking into account second-order kinematic invariants and Euler–Savary equations, thus providing second-order approximation of the relative motion. This strategy combines accuracy and simplicity. The design can benefit from design equations for choosing the dimensions of the flexible links and the weight of the peripheral masses. An example of application is also discussed and a comparison with a flexible multibody model is also presented to demonstrate the accuracy of the proposed methodology.
Activism in Practice: The Influence of a Rural School Leader’s Beliefs and Practices in Disrupting Historical Patterns of Underachievement in Traditionally Marginalized Students

Despite the fact that rural communities across the United States are rapidly diversifying (Fusarelli & Militello, 2012), little research has examined the beliefs and practices of successful rural educational leaders, specifically in high poverty schools and districts where traditionally marginalized students demonstrate improving learning outcomes. The purpose of this study was to examine the beliefs and practices of a rural educational leader whose school or district met established study criteria for a high poverty, high performing school, in which traditionally marginalized students demonstrate increasingly productive learning outcomes. Interviews with the leader were conducted, and the data were coded and analyzed using a constant comparative method (Lincoln & Guba, 1985). The following research question guided the study:What impact do the beliefs and practices of a rural school district leader have on the learning outcomes of traditionally marginalized students in the Rocky Mountain West? The findings from this study contribute to the paucity of research on culturally responsive rural superintendent-principals. Identifying the rural leader’s beliefs and practices provides support for educational leaders who serve in that uniquely rural dual role, about which very little has been written. It informs leadership preparation programs, graduate students, researchers, and policy makers about the need for nuanced culturally responsive training for rural educational leaders.
Pepper Anthracnose in the Philippines: Knowledge Review and Molecular Detection of Colletotrichum acutatum sensu lato

This paper reviews the current knowledge of pepper anthracnose in the Philippines. We present research outputs on pepper anthracnose from the last three years. Then, we present evidence of the widespread occurrence of C. acutatum sensu lato in the Philippines. Finally, we highlight some research prospects that would contribute towards developing an integrated anthracnose management program.
High Angular Rates Estimation using Numerical Phase-Locked Loop Method

In this paper, a numerical phase-locked loop (PLL) algorithm for estimation of the high angular rate of samara-inspired UAV is presented. The sinusoidal magnetometer measurements generated from the spinning UAV is proposed as the reference input to the PLL. The PLL then estimates the instantaneous frequency of the input and outputs a synchronous waveform. Significantly, the proposed approach enables estimation of the UAV’s angular velocity even when it operates beyond gyro saturation condition. The proposed PLL-based method was numerically evaluated and the effects of the PLL gains parameters are demonstrated in simulation. The PLL was shown to have a fast settling time, at bout 0.02s, to a step change in the input reference with a well-selected gain. The PLL was demonstrated to accurately track a ramp input change of up to 11 Hz, which is twice the gyroscope saturation limit, with zero steady-state error. Lastly, the proposed algorithm was experimentally evaluated on a benchtop setup, for up to 6.3 Hz, with an rms error of 0.04006 Hz; and in actual UAV flight, up to 6.5 Hz, with a rms error of 0.0479 Hz.
Translational Motion Estimation Using Kinect

Study on robot navigation has been progressing significantly. However, research of autonomous navigation is still lacking in environments with changing layout. For supporting robot navigation system, rotational and translational motion estimation need to be improved. Low cost sensor such as Kinect can be used as alternative to laser to percept changing in the vicinity of robot. There is still problem in developing motion estimation using Kinect. Narrowness in the sensor field of view limits its ability to track robot motion. This problem emerges specially in translational motion estimation. This paper aims to develop a simple approach based on RGB-D data for translational motion estimation of a Kinect sensor. RGB-D data consist of RGB and Depth images. In previous research, camera was positioned in the direction of longitudinal translational motion. This paper differs from previous works in terms of sensor setting that is placed in the direction of lateral translation movements. Point features are matched between pairs of RGB frame to get interesting pixels. Depth image provides distance information for these pixels in synchronization with feature tracking process. Law of cosines is then applied to these depth pixels to get position translation. Results show that our approach have decreased RMSE to 0.0382 meter better than previous works. In the future research, this translational motion estimation system will be implemented in mobile robot system to support navigation function.
An Exergy Analysis of a 250 MW Thermal Power Plant

Exergy analysis of a 250 MW power plant is done in this study. Thermal performance analysis using MATLAB calculation tool has been done. Exergy destruction phenomenon and Exergetic efficiency is calculated for various components of 250 MW coal fired subcritical power plant. The calculated overall plant exergy efficiency is evaluated 34.75%. Besides, results also concluded that exergy destruction takes place in the steam generator 490.76 MW (93.07%) followed by the other components. The comparative study of heat loss ratio with respect to varying plant load is performed out of which condenser contribute to have major heat loss ratio. The outcomes of this research study will be beneficial for future researchers.