Miracle-dz/UniFAR-FTUs huggingface dataset:
Variable Effects of Silicon on Salt Tolerant Indices in Rice Genotypes at Seedling Stage

Silicon (Si) is known to improve salt tolerance in rice. However, the correlation of silicon with different physiological and biochemical indices of salt tolerance is not properly understood. Two rice genotypes with different silicon accumulation ability were evaluated along with two standard checks in response to 10 dS/m salinity stress (NaCl) and external Si source (1mM) during their seedling stage. All evaluated genotypes showed an evident decrease in biomass and chlorophyll content under salinity stress, while reporting an enhances in Si accumulation, Na + /K + ratio, proline, electrolyte leakage, lipid peroxidation, hydrogen peroxide, and antioxidant activities. The external Si supplementation significantly improved rice tolerance to salinity through increased Si content, low Na + /K + ratio, better osmolyte production, reduced membrane permeability, and improved antioxidant enzyme activities. Multivariate factor analysis with principal component factor statistically correlates Original Research Article Swain et al.; CJAST, 39(28): 43-55, 2020; Article no.CJAST. 60310 44 and visualizes silicon accumulation with salt tolerance indices. The Hierarchical clustering in rice obtained based on the study of salt tolerance indices, distinguishes genotypes with different treatments into three clusters. In conclusion, the clustering grouped salt-tolerant Var.Lunishree and salt stress high silicon accumulating Var.Swarna together validates silicon mitigating effect on salinity in rice.
A Digital Twin for Risk Modeling and Decision-Support in a Smart Energy Grid

In this paper we use electrical grids and the energy market as a system-of-systems example to show how BPMN representations of DSMs may be combined with algebraic structures, forinstance lattices, to form structions that can be the base for digital twins simulating physical and non-physical systems. This is of relevance to energy distribution and its market. A market highly constrained by laws and regulations. We show how activity processes and design structures can be viewed as having a common qualification modeling framework based on lattice-valuations.
Levels of parathyroid hormone and fibroblast growth factor 23 in various stages of pediatric patients with chronic kidney disease

Introduction: Several studies showed the association of high levels of fibroblast growth factor 23 and parathormone with increased risk of bone disease in chronic kidney disease (CKD). Objectives: We conducted this study to determine the level of fibroblast growth factor 23 (FGF23) and parathormone in stages I and V of CKD. Patients and Methods: In this cross-sectional study, three groups of children, consisted of 24 children with early stage of CKD, 40 with late stage of CKD (stage V; end-stage renal disease [EDRD] patients) and 21 healthy children enrolled to the study. Patient selection was based on random sampling method. Serum calcium, phosphate, intact parathyroid hormone (iPTH), FGF23 and serum creatinine levels and also glomerular filtration rate (GFR) were measured using standard assays. Results: This study showed a significantly higher parathyroid hormone (PTH) level in the EDRD hemodialysis group in comparison with the early stage of CKD and control groups (P < 0.001). Likewise, a significant difference of phosphorus between the EDRD hemodialysis group with the normal group and the early stage of CKD was detected. (P < 0.001). A significant positive correlation of serum phosphorus with serum levels of FGF 23 in the EDRD patients (P < 0.05) was seen, while this association in the early stage of CKD was absent (P > 0.05). According to the results of the receiver operating characteristic (ROC) curve, serum FGF23 was not an appropriate prognostic index for GFR in pediatric patients with CKD (P = 0.07) (sensitivity 40.8, specificity 83.3, cutoff point 134. 72). Meanwhile, the top of ROC curve shows, iPTH had acceptable sensitivity and specificity for determining different stages of CKD (P < 0.0001, sensitivity= 100, specificity=97.2, cutoff point = 100.7). Conclusion: FGF23 is not an appropriate prognostic tool in pediatric patients with early stage of CKD, however, iPTH had an acceptable sensitivity and specificity to determine various stages of CKD.
EFFECT OF YOGHURT AND SOY-YOGHURT CONTAINING BIFIDOBACTERIA ON ENHANCING THE CALCIUM BIOAVAILABILITY AND BONE MINERALIZATION IN RATS

Bioavailability of calcium from milk and other calcium sources has been an important issue of studies over recent years. The present study compared the bioavailability of calcium from basal diet containing cow milk (CM), yoghurt from cow milk (YCM), yoghurt from cow milk plus either Bifidobacterium lactis Bb-12 (YCMBb-12) or Bifidobacterium longum Bb-46 (YCMBb-46), non- fermented soymilk (NFSM), soy-yoghurt resulted from fermentation with either B.lactis Bb-12 (YSMBb-12) or B.longum Bb-46 (YSMBb-46) and basal diet alone (control). The obtained results indicated that there were no significant differences in food intake, body weight gain and food efficiency among the different groups of rats fed experimental diets in comparison to control. During the experimental period, feeding diets containing probiotics significantly increased serum calcium concentration and significantly reduced the faecal calcium (mg / day) compared to the control diet. The apparent absorption % of calcium was significantly increased too. The caecum acidity (pH), cecal carboxylic acids and bifidobacterial count were also increased in the groups of rats fed probiotic. These cecal parameters have a positive correlation with calcium bioavailability. The levels of femoral and tibial strength were also significantly increased by the probiotic diet. It is worthy to note that diet containing YCMBb-12 was the most effective and in general probiotic cow milk yoghurts were much better than those of soymilk yoghurt in enhancing the bioavailability of calcium. Thus the results in the present study proved the beneficial effects of cow milk yoghurts and soymilk yoghurts containing probiotics in enhancing calcium bioavailability and subsequently lowering loss of body calcium.
VERTICAL GARDEN AS A SUSTAINBLE URBAN PRESPECTIVE IN CAIRO

Egypt is experiencing a rapid economic growth, developments in urban areas in addition to shrinking in green area and that leads to the occurrence of environmental problems such as drought, pollutants and the phenomenon of heat island in the urban areas. This paper therefore focuses on the benefits and techniques of the vertical gardens as a solution of environmental problems in Cairo as the vertical gardens may contribute in significant environmental, social and economic benefits in the urban environment with high population density. Moreover, the paper highlights on the examples of architectural buildings integrated with vertical gardens as new urban perspectives to face climate change and the energy crisis. The paper aims to provide a checklist for vertical gardens design as an evidence of future efforts to implement the strategy of the vertical greening garden in Cairo. Moreover, this paper discusses the prior knowledge of the residents towards the phenomena of the green wall and the factors which affected its implementation. Finally, the paper is concluding with a checklist of design considerations for vertical garden and several recommendations for using vertical garden technique as an alternative innovative technology to sustainable urban development which fits the urban structure in Cairo.
A functional classification method for examining landscape pattern of urban wetland park:a case study on Xixi Wetland Park,China

With the rapid approval and establishment of urban wetland parks,it is necessary to assess the sustainability of urban wetlands.The paper took Xixi Wetland Park as a case study area because of its representative of urban wetlands in China.Xixi National Wetland Park is located at the west part of Hangzhou,covering an area of 11.5km2,and featuring abundant ecological resources,beautiful natural scenes and a rich cultural heritage of many millennia.It is a model for integrating wetland ecological conservation,recreations,scientific research and education.We use Quick bird images and GIS to inventory information of landscape in Xixi Wetland Park,in particularly established a functional classification system for examining landscape pattern of urban wetland park.The results showed that:(1) patches and corridors in the landscape can be classified by the ecological conservation and the recreation according to their functional characteristics in Xixi Wetland Park;(2) Xixi Wetland Park is of the characteristics of both ecological conservation and rational utilization,in which 54% area for ecological protection and 46% area for tourism and recreation;(3) the ecological patches in Xixi Wetland park is featured with large area,complex shapes and low diversity,and the recreation patches is featured with small area,sample shapes and high diversity;(4) although the area of ecological corridors was only half of the recreational corridors,its network structure is quite complex,which is in favor of the conservation of wetlands in the park;(5) the ecological patches in the buffer areas of ecological corridors covered of 70.7%,and the recreational patches only account of 29.3%,which indicated that the ecological corridors performed a great role in connecting ecological parches.Synchronously,the ecological parches covering of 46.8% in the buffer areas of recreational corridors indicated that the recreational corridors not only can meet visitors,but also can be in favor of ecological protection;(6) the method of landscape pattern analysis based on functional classification is in favor of identifying spatial characteristics of landscape functions,and can exhibit the spatial relationship between ecological conservation and utilization for a landscape in urban park.
Cytotoxic Components of the Extract from the Leaves and Stems of Stauntonia hexaphylla

An investigation was carried out to identify novel anti-cancer compounds from Korean indigenous plant extracts. Bioassay-guided fractionation and chemical investigation of the EtOAc extract from the leaves and stems of Stauntonia hexaphylla resulted in the isolation of two active compounds, hederagenin 3-O-α-Larabinoside (1) and quercetin (2). The structures of these compounds were elucidated by spectroscopic methods, including UV, IR, MS, NMR techniques and compared with previous spectroscopic data. The cytotoxic effects of fractions and compounds on HCT116 human colon cancer cells were evaluated using the MTT assay. Quercetin showed a stronger anti-cancer effect when compared to hederagenin 3-O-α-L-arabinoside.
Hover-to-Cruise Transition Control for High-Speed Level Flight of Ducted Fan UAV

In this paper, we address the hover-to-cruise transition control problem for high-speed level flight of a ducted fan UAV. Firstly, the nonlinear aircraft dynamic system is derived and relevant key aerodynamic characteristics are presented. Then, we divide the dynamic system into known parts and uncertain parts. In order to track a reference system formed by the known parts, we propose a neural-network-based control strategy to learn the error dynamics and cancel the tracking error with proved stability. Finally, simulations and experiments are conducted to perform the transition process at fixed altitude and constant horizontal acceleration, with satisfactory results accomplishing the designed flight course.
Factors Influencing Students' Behavioral Intention to Continue Artificial Intelligence Learning

Artificial intelligence (AI) is increasingly employed in education for enhancing teaching practices and meeting students' learning needs. A number of AI learning opportunities in K-12 and higher education continue to grow across the world. Yet, little research has been done to investigate K-12 students' behavioral intention to learn AI. This study, which involved a sample of 131 primary students, examined the factors that affect students' behavioral intention to engage in AI learning. The exploratory factor analysis was employed to validate a four-factor survey. The general factor model includes (i) AI literacy, (ii) confidence in AI, (iii) AI for social good, and (iv) behavioral intention. The results showed that the first 3 factors were positively associated with the last factor. Students perceive the purpose of learning AI for social good as the most powerful predictor for their behavioral intention.
Developing the Job Stress Model for Airlines Flight crew

Job is one of the most important issues in the discussion of human resources, and since the discussion of job stress in the flight crew and its relationship with the performance of the flight crew is very important and vital. This research is about recognizing and developing a model for job stress among the cabin crew of Mahan Airline. The qualitative research methodology has been followed by qualitative inductive approach and grounded theory, that is the common approach in this case. The population of this research has two sections; the first section includes the new related scientific documents from 10 to 20 texts that are collected by using targeted approach until achieving domination criteria. Inductive qualitative content analysis method was applied for analyzing the specialized texts that are related to the research. The second population contains the whole flight crew of Mahan Airline Company. The research sample is chosen by using targeted and snowball method and by 37 items has been reached to theoretical saturation. The data are gathered by Semi-structured approach and they are analyzed by Straws & Corbin(1998) systematic analysis method. A total of 260 opening codes and 19 axial codes were extracted, which were categorized into 5 selected codes. as a result the job stress model of Mahan Airline flight crew is established and then is validated by focus group. The results show that the established pattern for job stress has five main aspects including the job stress nature, appearing job stress, the sources and conditions of job stress, reaction to job stress and consequences of job stress, and there is connection among them.
Effect of Free-Living Nitrogen Fixing and Phosphate Solubilizing Bacteria on Growth of Gossypium hirsutum L

Phosphorus and nitrogen are very much crucial for growth of Plant. Nitrogen fixing bacteria and phosphate solubilizing bacteria (PSB) promote plant growth and enhance various cellular processes like root elongation, proliferation and changes of root architecture, seed development and normal crop maturity. In present study the inoculation effect of phosphate solubilizing and Nitrogen fixing bacteria, isolated from rhizosphere and non-rhizosphere soil of North Gujarat, India are investigated. The isolated bacteria were tested for indole acetic acid (IAA), ammonia production and phosphate solubilization in vitro. Various parameters like root and shoot height, number of root hair, length, width and weight of leaves and chlorophyll content under greenhouse condition was measured. The study shows highest IAA production 0.1822 μg mL-1 by isolate N8 and highest phosphate production 0.029 μg mL-1 by isolate P6. The DNA of effective bacterial isolates was amplified using 16S r-DNA primers. Amplified PCR product were purified and sequenced to identify the isolates up to species level using BLAST. The isolates were identified as Azotobacter vinelandii and Bacillus niabensis, respectively (Accession number: JX564632 and KF535156).
Intelligent Fault Diagnosis Method for Coupling Rotating Machinery Based on Deep Convolutional Neural Network

In the industrial process, coupling faults between different components tend to continually happen due to the complications of mechanical equipments. Compared to the single fault, coupling faults have complex characteristics and features, especially when they have the similar patterns. In this paper, a fault diagnosis method of rotating machinery is proposed to diagnose coupling machinery vibration signals based on deep convolutional neural network. The proposed algorithm coalesces both feature extraction and pattern classification into a single and compact learning network which can load raw signals without pretreatment. Through the wind turbine drivetrain diagnostics simulator (WTDS) platform, vibration signals are collected and the effectiveness of the proposed method is validated. The results demonstrate that the detection accuracy of the proposed method is higher than other intelligent fault diagnosis algorithms.
Altered swimming gait and performance of dolphin mothers: implications for interactions with tuna purse-seine fisheries

Physical constraints while carrying an infant represent one of many reproductive costs. For bottlenose dolphins Tursiops truncatus, near-term pregnancy and ‘carrying’ a calf in eche lon position (calf alongside mother’s mid-lateral flank) alter maternal swimming gait and performance. As calves mature an alternate form of ‘carrying’, infant position (calf underneath mother’s tailstock) dominates. To complete our understanding of locomotion during motherhood in dolphins, kinematics (peak-to-peak stroke amplitude, A, and tailbeat oscillation frequency, f ) and performance (swim speed, V) while ‘carrying’ a calf in infant position were quantified. The relationship (slope) for A and V differed between solitary swimming and swimming with a calf in infant position (Z = −1.706, p = 0.088) as did the relationship (slope) for f and V (Z = −3.699, p < 0.001). Compared to solitary swimming (2.17 ± 0.02 m stroke−1; n = 166), mothers ‘carrying’ a calf in infant position had diminished distance per stroke (1.82 ± 0.07 m stroke−1; n = 27, t = 5.209, df = 191, p < 0.001; means ± SE) concomitant with a significant reduction (54%) in average swim speed (n = 27, 166, T = 629.00, p < 0.001). These results have implications for dolphins that interact with tuna purse-seine fisheries in the Eastern Tropical Pacific (ETP). Dolphins ‘carrying’ a calf may be unable to achieve speeds sustained by groups evading fishermen. To maintain proximity with the group, mothers may become separated from their calf. Permanently separated dependent calves represent unobserved mortality events, which may partially explain the non-recovery of depleted ETP dolphin populations.
Futures of Iranian Children and Teenagers Engagement in Cyberspace

This study seeks to identify and describe believable and probable scenarios about the future engagement of children in cyberspace from the perspective of futures studies. Children's and adolescents’ access to the Internet and network-based technologies is becoming increasingly prevalent. So explaining the key factors and uncertainties affecting this phenomenon requires a comprehensive insight into current and emerging trends and the change drivers. For this purpose, after reviewing several useful technological and social trends, using scenario-based planning methodology, questionnaire tools and expert panel, 28 effective factors, ten key factors, and five driver forces (with uncertainty) were identified. Then, structural analysis and scenario logic explanations have been performed by Micmac, Scenario wizards, and cross-impact matrix analysis. Accordingly, the four scenarios of “salmon in the pool”, “salmon in the river”, “guppy in the tank”, and “goldfish in the pond” have been identified and narrated for the future of Iranian children's engagement in cyberspace. The findings of this study provide a more comprehensive understanding of believable futures while emphasizing the importance of engaging and addressing the interests of audiences and the needs of stakeholders in designing relevant strategies and broadening the horizons of decision-makers toward future alternatives.
Seasonal Changes in Serum Calcium and 17β-Estradiol Levels in Persian Sturgeon, Acipenser persicus

Concentrations of total serum calcium and17β-estradiol (E2) were measured during four stages of ovarian growth in Persian sturgeon, Acipenser persicus. Total calcium and E2 increased from stage II (cortical alveolus) and reached their highest levels (6.67 ± 1.15 mg/dl and 5.33 ± 1.06 ng/ml, respectively) during stage III (vitellogenic). Levels of both total calcium and E2 decrease during stage IV (ripe). A decline in serum calcium level was observed postspawning (stage V). Total serum calcium exhibited a linear relationship (r2=0.6789) with plasma E2 (P<0.01). Both E2 and total serum calcium can be utilized to identify mature vitellogenic (stage III) females in sturgeon broodstocks
Research on Technology of Embedded System Security Protection Component

With the development of the Internet of Things (IoT), it has been widely deployed. As many embedded devices are connected to the network and massive amounts of security-sensitive data are stored in these devices, embedded devices in IoT have become the target of attackers. The trusted computing is a key technology to guarantee the security and trustworthiness of devices’ execution environment. This paper focuses on security problems on IoT devices, and proposes a security architecture for IoT devices based on the trusted computing technology. This paper implements a security management system for IoT devices, which can perform integrity measurement, real-time monitoring and security management for embedded applications, providing a safe and reliable execution environment and whitelist-based security protection for IoT devices. This paper also designs and implements an embedded security protection system based on trusted computing technology, containing a measurement and control component in the kernel and a remote graphical management interface for administrators. The kernel layer enforces the integrity measurement and control of the embedded application on the device. The graphical management interface communicates with the remote embedded device through the TCP/IP protocol, and provides a feature-rich and user-friendly interaction interface. It implements functions such as knowledge base scanning, whitelist management, log management, security policy management, and cryptographic algorithm performance testing.
The Trojan Effect: Would prevention of air pollution be a better solution to Alzheimer’s disease than developing medication?

Emerging evidence is showing that air pollution is a chronic source of neuroinflammation, which has a causal relationship with Alzheimer ’s disease (AD), an increasingly common and devastating illness in elderly populations. A report on the association between PM from air pollution and AD provided scientific explanations for the mechanisms driving air pollution-induced CNS pathology, which stimulates calls for action at the political level. This scoping review considers the range of recognised and novel approaches associated with AD, highlighting how neurobiology, sociology of medicine and eco-politics collaborate to generate the interdisciplinary picture of the effects of PM on this malignancy. Such holistic approaches will allow this field to move forward and could lead to an improvement of actionable policies.