Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic optimal operational control for complex systems with uncertain external loop disturbances

In this article, a two‐layer control strategy is proposed for industrial processes where loop controllers are difficult to change. The upper layer performs the determination of the target value and the dynamic adjustment of the set points, while the lower layer realizes the tracking control of loop outputs. To optimize the performance index, observers are designed to estimate those uncertain external disturbances and a new set points adjuster is designed to minimize the influence of disturbances on the overall performance. It is noted that neither the loop structure nor the loop parameters are changed in the operational control. Finally, a simulation on coke oven gas system is given to demonstrate the effectiveness of this method.
Recognition and classification of water surface targets based on deep learning

Aiming at the shortcomings of low recognition rate and low calculation rate of surface unmanned ship in complex time-varying water surface environment, a surface target detection method based on Faster R-CNN is proposed in this paper. Firstly, the water surface image was enhanced by McCann Retinex method to improve the image quality under complex background. Secondly, a water surface target data set was established. Finally, based on Faster R-CNN algorithm, VGG, Resnet and Inception network structures were employed to test and analyze the data set. The results show that the detection method proposed in this paper can effectively complete the identification and classification of six categories of common targets on the water surface, which has significant guiding significance for the autonomous obstacle avoidance and maritime search and rescue of unmanned ships.
ON THE KINETICS OF METHANE HYDRATE FORMATION: A TIME- DEPENDENT KINETIC RATE MODEL

The kinetics of hydrate formation is of paramount importance for hydrate prevention and gas storage in a hydrate state. Methane hydrates were produced in a high pressure autoclave cell and kinetic rates were investigated in the presence of low concentrations of methanol (MeOH) and polyvinylcaprolactam (PVCap). The degree of subcooling has been used as the driving force for hydrate formation. A detailed analysis of the dynamics of the free gas content and the principle of mass conservation have been employed to understand the growth behavior in the liquid phase by considering a constant kinetic rate, and its limitations are discussed. The results show that kinetic rates in an isochoric cell system are not generally constant during the whole growth period of hydrate formation, and a time-dependent model is proposed. The model could also be utilized for testing the effect of other additives on the rate of growth of methane hydrates.
Foraging for New Ideas: Search and Research in Divergent Thinking Tasks

ABSTRACT More than 50 years since the introduction of the concept of divergent production, little progress has been made in the development of parsimonious theoretical models that sufficiently explain creativity. Recently, the optimal foraging theory has been used to explain the search for items in memory tasks, suggesting the correspondence between the ability to search in a real environment and cognitive search as an essential part of cognitive models. However, the relationship between external search and divergent thinking tasks has not been empirically tested. Eight hundred and fifty-nine children were evaluated through tasks that require the visual or semantic search of information. A confirmatory factor analysis model showed that several models presented good adjustment indices. The best fit presented was a model of two latent independent factors and a general first-order factor that shows that external search and divergent thinking tasks share common mechanisms. This data empirically supports the theoretical development of the concept of divergent production under a novel empirical and evolutionary perspective that relates divergent thinking with the external and internal exploratory capacity.
Organizational Safety Climate Factor Model in the Urban Rail Transport Industry through CFA Analysis

Occupational Safety and Health (OSH) issues in the urban rail transport industry need to be given full attention due to the factors of the instability of declining occupational accident rate, increasing number of passengers each year, and the pressure of technological development; in addition, the day-to-day operations also involve the public and various interested communities. Organization is one of the factors that influence worker safety and health status. This study aimed to propose a factor model of the organizational safety climate towards a better safety and health status for Malaysian urban rail industry. This quantitative study used a questionnaire randomly distributed to Malaysian rail system workers. A total of 441 workers in the operation and maintenance division were involved in this study. Confirmatory factor analysis (CFA) using IBM SEM-AMOS was conducted to determine the reliability and validity of the observed variables and the latent variables. This study proved that all four dimensions identified as safety communication, safety training, safety support system, and safety value represents the organizational safety climate. Following the analysis, an organizational safety climate model is successfully developed. This factor model aims to be used in the context of rail management studies to measure the safety climate of their organization, thereby improving the safety level of the workers within the organization.
ASSIGNMENT STRATEGffiS AND STRUCTURE DETERMINATION IN CY ANIDE-INHffiiTED HEME PEROXIDASES

A strategy is described for locating and assigning all of the hyperfine-shifted and/or relaxed resonances in the active site of the low-spin, cyanide-inhibited complex of horseradish peroxidase. The serious problems in spectral resolution and dynamic range due to the large size ( 44 kDa) of the protein can be overcome by taking advantage of the strong temperature dependence of the hyperfine shift, and by use of DEFT or WEFf pulse sequences in conjunction with standard 2D experiments. Detailed analysis of COSY experiments reveals that cross-correlation contributes significantly to cross peak intensity and dominates for geminal protons. It is shown that many COSY cross peaks, in fact, are inter-residue cross correlation peaks. Hence COSY has limited use in mapping scalar connectivities, even in its phase-sensitive form. TOCSY, on the other hand, particularly when ROESY is suppressed, provides an effective method for mapping essentially all spin systems. The sequence-specific ~signment of active site residues via standard backbone NOESY connectivities in H20 is greatly facilitated by the very slow exchange rates of the peptide protons for both the proximal and distal helices. The combination of 2D NMR methods lead to the complete assignment of the active site protons <6.5 A from the iron. The resulting dipolar shifts for non-coordinated residues are shown to be quantitatively described by the orientation of the magnetic axes which reflect a tilt of the Fe-CN unit away from the heme normal. It is likely that similar methods will allow detailed structural studies in a variety of comparably sized cyanide-inhibited heme peroxidases.
Mapping Urban and Peri-Urban Land Cover in Zimbabwe: Challenges and Opportunities

Accurate and current land cover information is required to develop strategies for sustainable development and to improve the quality of life in urban areas. This study presents an approach that combines multi-seasonal Sentinel-1 (S1) and Sentinel-2 (S2) data, and a random forest (RF) classifier in order to map land cover in four major urban centers in Zimbabwe. The specific objective of this study was to assess the potential of multi-seasonal (rainy, post-rainy, and dry season) S1, rainy season S2, post-rainy season, dry season S2, multi-seasonal S2, and multi-seasonal composite S1 and S2 data for mapping land cover in urban areas. The study results show that the combination of multi-seasonal S1 and S2 data improve land cover mapping in urban and peri-urban areas relative to only multi-seasonal S1, mono-seasonal S2, and multi-seasonal S2 data. The overall accuracy scores for the multi-seasonal S1 and S2 land cover maps are above 85% for all urban centers. Our results indicate that rainy and post-rainy S2 spectral bands, as well as dry-season S1 VV and VH bands (ascending orbit) are the most important features for land cover mapping. In particular, S1 data proved useful in separating built-up areas from cropland, which is usually problematic when only optical imagery is used in the study area. While there are notable improvements in land cover mapping, some challenges related to the S1 data analysis still remain. Nonetheless, our land cover mapping approach shows a potential to map land cover in other urban areas in Zimbabwe or in Sub-Sahara Africa. This is important given the urgent need for reliable geospatial information, which is required to implement the United Nations Sustainable Development Goals (UN SDGs) and United Nations New Urban Agenda (NUA) programmes.
Structural and physicochemical properties of banana resistant starch from four cultivars

ABSTRACT Resistant starches were isolated from four banana cultivars: Musa AAA Cavendish, Musa ABB Bluggoe, Musa ABB Pisan Awak, and Musa AA Pisang mas. The structural and physicochemical properties of banana resistant starches were studied. Results showed that the particle size and shape of four banana resistant starches were different. Cavendish and Bluggoe banana resistant starch had a C-type crystalline structure, whereas Pisan Awak and Pisang mas had a B-type. The water-holding capacity of Pisang mas was the maximum. The solubility of Pisan Awak and Pisang mas was higher as compared to Cavendish and Bluggoe. The transparency of Cavendish banana resistant starch was the highest. More amylose was observed in Bluggoe and Pisan Awak banana resistant starch, whereas more amylopectin was observed in Cavendish and Pisang mas banana resistant starch. The initial pasting temperatures of Cavendish and Bluggoe banana resistant starches were higher as compared to Pisan Awak and Pisang mas banana resistant starch. The peak viscosity of Cavendish banana resistant starch was the highest in these four samples. The heat stability of Bluggoe banana resistant starch was the best one in the four banana resistant starches. The retrogradation was hard in the case of Bluggoe and Pisan Awak banana resistant starch. In conclusion, the properties of the four banana resistant starch samples were not the same, indicating that these could be used in different food products.
Study of three distinct self-compacting concretes containing marble/granite powder and hooked-end steel fiber contents

In this investigation distinctive self-compacting concretes (SCC) containing both marble + granite (MG) powder and hooked-end steel fibers (HESF) are investigated. A mixture of conventional SCC (reference), and other five samples containing MG and steel fiber (SF) contents are provided, i.e. 20MG, 20SF, 30MG + 10SF, 20SF and 30MG + 20 SF. Both the fresh and hardened properties of the modified self-compacting concretes are evaluated. Workability of the SCC samples represented by slump flow, L-box, V-funnel, J-ring and flowability T500 is examined. The properties of hardened state of the SCC samples at 7 and 28 days are also evaluated. Modulus of elasticity, water absortion, voids index (indicatig porosity), and specific mass are attained. Comparisons among specific strengths and consumptions of cement per compressive strengths are also provided. The SCC/30MG/10SF sample has a specific strength ∼50% higher than the conventional SCC sample. When a ratio involving porosity per cement consumption per tensile strength is evaluated, the SCC/30MG/10SF sample has this ratio ∼80% higher than the SCC reference. Additionally, the best result of consumption of cement (CC) per compressive strength (CS) (1.28x lower than the SCC reference) at 28 days is that of the SCC/30MG/10SF sample (5.03 kg/m3. MPa−1). This indicates that an environmentally friendly aspect associated with low relative cost, which is an important parameter to consider in future SCC mixture designing.
City travelling salesman problem with minimizing truck weight in fragile road

The process of delivering goods can be modeled in the TSP model; Traveling Salesman Problem. Several existing TSP models try to minimize the mileage so as to minimize transportation costs from vehicles. In the context of city logistics, the quality of the roads used to deliver goods is also used by city residents’ vehicles. The route taken for the first time contains a heavy mass because the cargo being transported still contains all the goods that will be delivered later. Then the mass of the truck cargo will gradually decrease from the heavy mass to the very light mass at the final destination, because the entire load has been delivered. Through this paper, we propose a TSP model development that can choose the order of delivery by considering the road conditions taken, so that a route will be obtained that minimizes the risk of road damage due to the large mass of the load.
Transcriptome Analysis Reveals the Procyanidin Treatment-responsive Genes Involved in Regulating Procyanidin Accumulation during Banana Ripening and Senescence

The mechanism regulating procyanidin (PA) accumulation in banana (Musa acuminata) fruit is not understood. During this study, the effects of PA treatment on the activities of banana PA biosynthetic enzymes and transcriptomic profiles were investigated. The results showed that PA treatment delayed the decreases in leucoanthocyanidin reductase and anthocyanidin reductase activities, which affected the accumulation of PA. Furthermore, the peel samples of the control fruit and the PA-treated fruit on day 1 were selected for transcriptomic analysis. The results revealed that PA treatment induced 1086 differentially expressed genes. Twenty-one key genes, including those encoding biosynthetic enzymes and regulatory factors involved in PA biosynthesis, were validated using a quantitative real-time polymerase chain reaction. The results showed that these genes were upregulated by PA treatment during banana storage. Taken together, our study improves current understanding of the mechanism underlying PA-regulated banana senescence and provide new clues for investigating specific gene functions.
SUICIDAL SELF POISONING AND ITS RELATION WITH PERSONALITY TRAITS AMONG ADMITTED CASES TO MENOUFIA POISONING CONTROL CENTER.

Introduction: Suicide has been ranked among the top ten major causes of death worldwide. Self-poisoning throughout all ages is listed as one of the principal causes of unnatural deaths. Aim: Analysis of the pattern of suicidal self-poisoning cases with emphasis on its relationship with personality traits among admitted cases to Menoufia Poisoning Control Center (MPCC). Method: This was a cross-sectional, prospective study conducted on 1069 cases of suicidal self-poisoned cases attended to MPCC in one year. Data were collected including sociodemographic criteria, type of poison used, the severity of cases according to poisoning severity score, reasons for committing suicide, and the outcome. A personality questionnaire was fulfilled, which consisted of five personality traits: Extroversion, Agreeableness, Neuroticism, Openness, and Conscientiousness. Results: Total number of 1069 suicidal self-poisoning cases were admitted to MPCC over one year. The highest number of them was between 10-20 years (38.4%). Females were more susceptible to suicidal poisoning than males. 78.7% were from rural areas; being single is a high-risk factor. The highest percentage of cases were students, and family troubles were the most common motive in attempting suicide, followed by economic and financial issues. Pesticides were the most used poison. 25.4% of cases were severe according to PSS, and the fatality rate reached 15.9%, where aluminum phosphide was the first claiming agent in this high death rate. Personality trait was a significant factor among people who attempted suicide with a significant difference regarding the gender and type of the used poison. Conclusion: Suicide self-poisoning is a considerable public health risk that should be given high attention; the most common age was between (1020) years. Females were more susceptible than males. Most cases were from rural areas. Most of them were students, and family troubles were the most common motive for attempting suicide. Pesticides were the most used poison, and the fatality rate reached 15.9%. Personality traits are a significant risk factor among people who attempt suicide.
PROFIL KEMAMPUAN SPASIAL SISWA SEKOLAH DASAR DALAM PEMECAHAN MASALAH GEOMETRI: SEBUAH STUDI LITERATUR

Spatial abilities fall into the category of essential subjects for elementary school students to master, especially mathematics. The fact that students' mathematical abilities, especially spatial abilities, are still relatively low is inevitable. One of the reasons for students' low mathematical ability is the abstract mathematical characteristics, for example, in geometry. This study aims to collect as much literature as possible to explore the study of elementary school students' spatial ability profile with content analysis techniques. The results of this study indicate that the students' low spatial abilities can be influenced by strategies and high-order thinking skills.
Citation Recommendation based on Citation links Explanation

With the rapid increase of scientific papers, it is difficult for researchers to obtain appropriate references. Due to the black-box property of neural network, the existing content-based citation recommendation methods are mainly embedding text into a low-dimensional space, and citation links are not interpretable (e.g., paper A cites paper B because of topic X). To solve this problem, we propose a Weighted Citation Network with Citation Links Explanation (WCN-CLE) algorithm. Because citation links mainly depends on the content, we need to explore textual reasons for citation links. Firstly, we extract word fragments through citation network information for each citation link as its explanation. Secondly, we construct a weighted HIN network with two kinds of vertex (paper and author). The weight of each edge is calculated by its word fragments. Then the query document is linked to the HIN network through author information and word fragments similarity with candidate papers. Finally, each vertex’s feature representation is obtained by network representation learning method, and recommend papers through vector similarity. Experimental results on two real-world datasets show that WCN-CLE has better performance due to its integration of structural information and semantic information.
Identifying critical success factors for university business incubators in Saudi Arabia

Business incubators are a major tool in entrepreneurial eco-system of any country and forms the backbone of economic development initiatives. One of the greatest adaptations of business incubators came through universities especially public sector universities. This is due to the university's understood responsibility of supporting science and society development and ultimately providing all the new businesses' requirements in science and technology. Saudi Arabia has taken robust measures to develop and improve the local entrepreneurial eco-system by establishing and nurturing business incubators, especially university business incubators. In a small frame of time, Saudi business incubators have produced many innovate solutions for the technology, economic and social challenges. Due to multifaceted functionality and lack of standard evaluation criteria the business incubator performance became very important topic in Saudi Arabia. The purpose of this research is to develop critical success criteria for business incubators in Saudi Arabia. Survey methodology was employed to collect the data. Data were analyzed in many ways. Firstly, based on the survey results, list of success criteria for business incubators performance was presented. Secondly, descriptive analysis shows that top three critical factors include (a) coaching and mentoring hours, (b) number of services and supports offered; and (c) access to funds in terms of total attractive investment. While the least important factors considered were (a) affiliation with the university, (b) time limit to tenancy, and (c) numbers of IPOs launched. Thirdly, factor analysis summarizes all the critical success factors for university business incubators and culminates into five big factors, including (a) support services; (b) network support; (c) financial support; (d) economic development;(e) alumni success. Finally, cluster analysis shows there are two major cluster groups in the data: (a) ‘employees’ of the incubators and (b) 'incubatees'. This research provides guidelines and critical success criteria for business incubators operating in Saudi Arabia or elsewhere.
A quasi‐elliptical bandpass frequency selective surface with low‐profile and miniaturization characteristics

A low‐profile and miniaturized frequency selective surface (FSS) with dual‐polarized bandpass characteristics is proposed in this article. The FSS is a second‐order structure with two layers separated by an air spacer, achieving two transmission poles (TPs) and two transmission zeros (TZs) at both sides of the TPs. Using the miniaturized structure, the physical dimension of the element is reduced to 0. 09λ × 0. 09λ, where λ is the free‐space wavelength at the center frequency. Thus, the structure exhibits stable performance with respect to different incident angles. The overall thickness is 0. 053λ, which is much thinner than alternative second‐order FSSs using the traditional cascading technique. This feature makes it a candidate to be applied in low frequency bands with long wavelengths. In addition, the operating principle of the proposed structure is analyzed by using the equivalent circuit method (ECM) and the surface current distribution is also given. Finally, a prototype is fabricated and measured to validate the simulated results.
Impact of silvicultural system on natural regeneration in Western Himalayan moist temperate forests of Pakistan

Site conditions (topography, aspect, moisture availability, humus thickness, light exposure, and grazing activities) play a vital role in the germination and regeneration process. The research was conducted in the Himalayan moist temperate forest. The research site was divided based on the silvicultural system (group selection system and single-tree selection system) into 148 plots and 150 plots, respectively. The group selection system was examined on the site of 2 ha which was clear-felled under a project in the 1980's. The present study examined the impact of silvicultural systems on regeneration. The frequency table was used, and relative frequency was calculated for the species and silvicultural system, density per m2 was also calculated. Diversity indices were calculated through taxa, dominance, Simpson’s index, Shannon index, evenness, equitability, and fisher alpha. Ten taxa were found in both silvicultural systems, with individual repetition of 17 and 15 taxa, respectively. Group selection is more compact visibly as compared to the single-tree selection system. The single-tree selection system is more diversified in species composition, stand structure, moisture availability, and less humus availability. The study also highlights future predictions for the conservation of these forests, which are highly sensitive and a hotspot for wildlife and climate change phenomena. Silvicultural practices such as silvicultural system, cleaning, weeding, thinning operations are regularly practiced, which can reduce the negative impact on these productive forests.