Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid parameter identification of three diode photovoltaic systems using the Cheetah optimizer

This study focuses on accurate parameter identification for solar cells and photovoltaic module simulation using experimental data. To tackle the challenge of modelling these highly nonlinear systems, we propose the novel use of the Cheetah Optimizer (CO) algorithm, inspired by cheetah hunting strategies. The CO algorithm employs mathematical models and randomization parameters to balance exploration and exploitation, avoiding local optima by considering energy limitations. We demonstrate the CO algorithm's effectiveness by applying it to the three-diode model in solar photovoltaic systems, specifically the STP6-120/36 and Photowatt-PWP201 PV modules. Impressively, the CO algorithm achieves remarkably low root mean square error values of 0.0145 A and 0.0019 A, outperforming state-of-the-art methods and ensuring high accuracy. Additionally, it delivers the lowest power errors of 0.16054 W and 0.01484 W for the respective modules, highlighting its exceptional performance. The CO algorithm proves to be a promising tool for precise parameter extraction and optimization, leading to improved modelling and performance of solar photovoltaic systems.
The design of visco‐acoustic weighted L1‐error frequency–space wavefield extrapolators

Seismic imaging is an important step for imaging the subsurface structures of the Earth. One of the attractive domains for seismic imaging is explicit frequency–space (f – x) prestack depth migration. So far, this domain focused on migrating seismic data in acoustic media, but very little work assumed visco‐acoustic media. In reality, seismic exploration data amplitudes suffer from attenuation. To tackle the problem of attenuation, new operators are required, which compensates for it. We propose the weighted L1‐error minimisation technique to design visco‐acoustic f – x wavefield extrapolators. The L1‐error wavenumber responses provide superior extrapolator designs as compared with the previously designed equiripple L4‐norm and L∞‐norm extrapolation wavenumber responses. To verify the new compensating designs, prestack depth migration is performed on the challenging Marmousi model dataset. A reference migrated section is obtained using non‐compensating f – x extrapolators on an acoustic dataset. Then, both compensating and non‐compensating extrapolators are applied to a visco‐acoustic dataset, and both migrated sections are then compared. The final images show that the proposed weighted L1‐error method enhances the resolution and results in practically stable images.
Material balance model for steel production in electric arc furnace - melting period

The material balance modeling during the melting period is considered in the development, as an initial period in obtaining a type of tool steel, such as bearing steel. The method used for the production of bearing steel is electric arc, with the possibility to be realized in an electric arc furnace. Based on the real chemical composition of the charge materials presented in the introduction, a model for calculation of the charge was created, consistent with the technological conduct of the process. The presented values in the experimental part and the results as well as the analysis are based on the modeling of the process made in the development during the melting period.
Non-Invasive Quantitative Approximation of Intracranial Pressure in Pediatric Idiopathic Intracranial Hypertension Based on Point-of-Care Ultrasound of the Optic Nerve Sheath Diameter

Background: To investigate whether ultrasound-based optic nerve sheath diameter (US-ONSD) is a reliable measure to follow up children with idiopathic intracranial hypertension (IIH). In addition, to analyze the inter- and intra-individual relationships between US-ONSD and intracranial pressure (ICP), and to investigate whether an individualized mathematical regression equation obtained from two paired US-ONSD/ICP values can be used to approximate ICP from US-ONSD values. Methods: 159 US examinations and 53 invasive ICP measures via lumbar puncture (LP) were performed in 28 children with IIH. US-ONSD was measured using a 12 Mhz linear transducer and compared to ICP values. In 15 children, a minimum of 2 paired US-ONSD/ICP determinations were performed, and repeated-measures correlation (rmcorr) and intra-individual correlations were analyzed. Results: The cohort correlation between US-ONSD and ICP was moderate (r = 0.504, p < 0.01). Rmcorr (r = 0.91, p < 0.01) and intra-individual correlations (r = 0.956–1) of US-ONSD and ICP were excellent. A mathematical regression equation can be calculated from two paired US-ONSD/ICP values and applied to the individual patient to approximate ICP from US-ONSD. Conclusions: Related to excellent intra-individual correlations between US-ONSD and ICP, an individualized regression formula, created from two pairs of US-ONSD/ICP values, may be used to directly approximate ICP based on US-ONSD values. Hence, US-ONSD may become a non-invasive and reliable measure to control treatment efficacy in pediatric IIH.
Cell Membrane-Camouflaged Nanoparticles Mediated Nucleic Acids Delivery

Abstract Nucleic acids have emerged as promising therapeutic agents for many diseases because of their potential in modulating gene expression. However, the delivery of nucleic acids remains a significant challenge in gene therapy. Although viral vectors have shown high transfection efficiency, concerns regarding teratogenicity or carcinogenicity have been raised. Non-viral vehicles, including cationic polymers, liposomes, and inorganic materials possess advantages in terms of safety, ease of preparation, and low cost. Nevertheless, they also face limitations related to immunogenicity, quick clearance in vivo, and lack of targeting specificity. On the other hand, bioinspired strategies have shown increasing potential in the field of drug delivery, yet there is a lack of comprehensive reviews summarizing the rapid development of bioinspired nanoparticles based on the cell membrane camouflage to construct the nucleic acids vehicles. Herein, we enumerated the current difficulties in nucleic acid delivery with various non-viral vehicles and provided an overview of bioinspired strategies for nucleic acid delivery.
Formal Analysis of Post-Quantum Hybrid Key Exchange SSH Transport Layer Protocol

Facing the quantum attack threat, a quantum-resistant version of the SSH Transport Layer protocol has been proposed and been standardized by an IETF working group. This standardization process has been motivated by the fact that if practical quantum computers become available, classical key exchange algorithms used today will no longer be safe because their security can be efficiently broken by Shor’s algorithm running on a quantum computer. In this paper, we construct a symbolic model of the proposed protocol, specify it in the specification language CafeOBJ, and conduct a formal analysis of the claimed security properties with the employment of a formal method tool called Invariant Proof Score Generator (IPSG). Three security properties are formally verified with respect to an unbounded number of protocol participants and protocol executions by employing IPSG to produce their formal proofs, the so- called proof scores in CafeOBJ. With another property, namely authentication, we find a counterexample against it, and then we propose to slightly revise the protocol. With the improved version, we formally verify that the authentication property is enjoyed, while the three properties remain secure. To model the presence of malicious participants, we extend the Dolev-Yao intruder, which is the standard intruder model used in security protocol analysis/verification, because the availability assumption of large-scale quantum computers gives the attacker some new capabilities. Under our threat model, the intruder is given capabilities of fully controlling the network as the Dolev-Yao intruder, and additionally breaking ECDH’s security as well as compromising secrets.
Effect of Hybrid Teaching Methodology and Student Group Policy on Object Oriented Problem Solving

Article History: Received: 02/10/2017 Accepted:10/09/2018 Published: 28/10/2018 Teaching programming at university for beginner's level represents one of the most difficult tasks for faculty members. It has many challenges such as wide diversity of student's background knowledge, not able to understand programming concept, identifying programming language syntax usage etc. Through the literature, many methods and tools have been covered to make programming concepts easier to understand for students. In this paper, hybrid approach is proposed to efficiently increase the understanding capacity of the students. The hybrid method is based on problem-based and puzzle-based learning (PBL & PZBL) methods. In order to test the proposed approach, students enrolled in object oriented programming courses in software engineering department were considered as test case. In addition, the paper addresses the benefits of using non-fixed student group policy with the proposed hybrid method to get a better understanding of student learning outcome. The proposed method scored a better result when compared to standalone methods. The enhancement was reflected both in student questionnaire and final course work results.
LABANet: A Lightweight Asymmetrical Bottleneck and Attention-Based Network for Cloud Detection

Recently, onboard satellite cloud detection has attracted extensive interest due to its ability to reduce invalid data and save satellite storage and downlink resources. As the demand for accuracy has increased, deep neural networks with encoder–decoder architectures have been widely used for cloud detection. Most networks mainly focus on extracting contextual features and fusing more information derived from multilevel features to achieve high accuracy. Convolutional layers with contextual feature extraction abilities in networks, however, always contain many computations and parameters, making them difficult to deploy in processors with limited computing and memory resources. Additionally, fusing features acquired from different levels easily introduces redundant noise and decreases accuracy. To address these issues, a novel lightweight asymmetrical bottleneck and attention-based network (LABANet) is proposed. In the encoder, a multiscale context-based asymmetrical bottleneck (MCAB) is designed to extract more contextual features in an efficient manner. The number of computations and parameters required by the bottleneck can be effectively reduced via asymmetric channel compression and grouping for different pointwise convolutions. Multiscale contextual features can be extracted by dilated depthwise asymmetric convolution. In the decoder, a spatial-channel cascade attention (SCCA) module is proposed to fuse multilevel features with less redundant noise by highlighting spatial and channel correlation information. Experimental results obtained on public datasets demonstrate that the proposed LABANet can exceed 95% overall accuracy (OA) with a computational cost of 1.20 giga-floating-point operations (GFLOPs) and a parameter count of $1.2\times 10^{{6}}$ ; thus, it achieves competitive accuracy with fewer computations and parameters than other baseline cloud detection networks.
Factors controlling organic matter enrichment in the Lower Cambrian Niutitang Formation Shale on the eastern shelf margin of the Yangtze Block, China

AbstractThe degree of organic matter (OM) enrichment in shale determines its oil and gas potential. To understand the factors controlling this OM enrichment, we have used petrological and geochemical analyses to study the Lower Cambrian Niutitang Formation Shale in the eastern shelf margin of the Yangtze Block. Our results reveal that the total organic carbon (TOC) content of the Niutitang Formation Shale varies significantly throughout the vertical section. The lower part of the Niutitang Formation has a high TOC content, likely due to its formation in a dysoxic/anoxic environment with intense upwelling that favored OM enrichment. The middle part of the Niutitang Formation has the highest TOC content, which can be attributed to its formation in an environment with more hydrothermal activity, moderately upwelling, high paleosalinity, dysoxic/anoxic conditions, and moderately restricted water contents. Finally, the upper part of the Niutitang Formation records the lowest TOC contents because it likely form.
Unveiling the Dual Nature of Heavy Metals: Stressors and Promoters of Phenolic Compound Biosynthesis in Basilicum polystachyon (L.) Moench In Vitro

The global industrial revolution has led to a substantial rise in heavy metal levels in the environment, posing a serious threat to nature. Plants synthesize phenolic compounds under stressful conditions, which serve as protective agents against oxidative stress. Basilicum polystachyon (L.) Moench is an herbaceous plant of the Lamiaceae family. Some species within this family are recognized for their capacity to remediate sites contaminated with heavy metals. In this study, the effects of mercury (II) chloride and lead (II) nitrate on the in vitro propagation of B. polystachyon were investigated. Shoot tips from in vitro plantlets were cultured in Murashige and Skoog’s (MS) media with heavy metals ranging from 1 to 200 µM to induce abiotic stress and enhance the accumulation of phenolic compounds. After three weeks, MS medium with 1 µM of lead (II) supported the highest shoot multiplication, and the maximum number of roots per explant was found in 100 µM of lead (II), whereas a higher concentration of heavy metals inhibited shoot multiplication and root development. The plantlets were hardened in a greenhouse with a 96% field survival rate. Flame atomic absorption spectroscopy (FAAS) was used to detect heavy metal contents in plant biomass. At both 200 µM and 50 µM concentrations, the greatest accumulation of mercury (II) was observed in the roots (16.94 ± 0.44 µg/g) and shoots (17.71 ± 0.66 µg/g), respectively. Similarly, lead (II) showed the highest accumulation in roots (17.10 ± 0.54 µg/g) and shoots (7.78 ± 0.26 µg/g) at 200 µM and 50 µM exposures, respectively. Reverse-phase high-performance liquid chromatography (RP-HPLC) identified and quantified various phenolic compounds in B. polystachyon leaves, including gallic acid, caffeic acid, vanillic acid, p-coumaric acid, ellagic acid, rosmarinic acid, and trans-cinnamic acid. These compounds were found in different forms, such as free, esterified, and glycosylated. Mercury (II)-exposed plants exhibited elevated levels of vanillic acid (1959.1 ± 3.66 µg/g DW), ellagic acid (213.55 ± 2.11 µg/g DW), and rosmarinic acid (187.72 ± 1.22 µg/g DW). Conversely, lead (II)-exposed plants accumulated higher levels of caffeic acid (42.53±0.61 µg/g DW) and p-coumaric acid (8.04 ± 0.31 µg/g DW). Trans-cinnamic acid was the predominant phenolic compound in control plants, with a concentration of 207.74 ± 1.45 µg/g DW. These results suggest that sublethal doses of heavy metals can act as abiotic elicitors, enhancing the production of phenolic compounds in B. polystachyon. The present work has the potential to open up new commercial opportunities in the pharmaceutical industry.
Pedodontics, Orthodontics and Preventive Dentistry 100 Color Stability of Different Aesthetic Arch-wires after Immersion into Different Types of Mouthwashes ( In Vitro Study)

Background: Because of the demands for aesthetic orthodontic appliances have increased, aesthetic archwires have been widely used to meet patient's aesthetic needs. The color stability of aesthetic archwires is clinically important, any staining or discoloration will affect patient’s acceptance and satisfaction. This study was designed to evaluate the color stability of different types of aesthetic archwires after immersion into different types of mouth washes. Materials and methods: Four brands of nickel titanium coated aesthetic arch wires: Epoxy coated (Orthotechnology and G&H) and Teflon coated (Dany and Hubit) were evaluated after 1 week, 3 weeks and 6 weeks of immersion into two types of mouthwashes (Listerine with alcohol and Listerine without alcohol). Color change measurements were performed by using spectrophotometer VITA Easyshade Compact according to the commission Internationale de I’Eclairage L*a*b* color space system. Results: The results of this study showed that there were highly significant differences in color change values among all brands of aesthetic archwires at various immersion media. On the other hand, a significant difference was found between Dany and Orthotechnology aesthetic archwires at 1 week immersion in distilled water . Listerine with alcohol mouthwash produced more color changes of aesthetic archwires and color change value increases with the time of immersion. Conclusions: All brands of aesthetic archwires showed different degrees of color changes but most of these changes were not visible or clinically acceptable.
The moderating effect of brand loyalty on service quality and customer satisfaction in the telecommunications industry in northwest Nigeria

This study investigates the moderating effect of brand loyalty on service quality and customer satisfaction in the telecommunications industry in Northwest Nigeria. A cross-sectional descriptive survey design was utilized, which permits the collection of data from respondents at a certain point in time. The convenience sampling method was used, and structured questionnaires were administered to the customers of Airtel Nigeria telecommunications company using a service performance (SERVPERF) model. Out of the 768 questionnaires administered, 390 valid responses were analyzed, and the hypotheses were tested with the aid of SmartPLS 4. The results for the direct relationships indicate that reliability, assurance, responsiveness, and tangibility were significantly and positively related with customer satisfaction, while empathy had no significant effect on customer satisfaction. For the indirect relationships, brand loyalty was not found to moderate the relationships between the five SERVPERF dimensions and customer satisfaction. The study concludes that regardless of brand loyalty, service quality remains the only driving force of customer satisfaction in the Nigerian telecommunications industry. It is therefore recommended that Airtel should find ways to transcend their competitors and ensure the continued loyalty of their subscribers, especially by tailoring services to customers’ needs. It is also recommended that the company should ensure a pleasant and seamless experience for their subscribers during calls or when accessing the internet. The Nigerian Communications Commission (NCC) should continue to monitor the quality of the services provided by telecommunications companies and sanction those that provide sub-standard services.
Supplementary material S1

The details of datasets and results for the observation of l-mer frequency distribution on groups of non-overlapping reads. 1. Details of the tests on pairs of genomes at Genus level 2. Details of the tests on pairs of genomes at Familly level 3. Details of the tests on pairs of genomes at Species level
Improving Indonesian Named Entity Recognition for Domain Zakat Using Conditional Random Fields

In Indonesia, where the majority of the population is Muslim, one of the obligations of a Muslim is zakat. To reduce illiteracy about zakat among Muslims, they need to have access to basic information about it. In order to facilitate the acquisition of this information, this study utilized named entity recognition (NER) and defined 12 named entity classes for the zakat domain, including the pillars of Islam, various types of zakat, and zakat management institutions. The Conditional Random Fields method was used for testing Indonesian-NER in three scenarios. In the specific context of the Zakat domain, NER can extract information about organizations, individuals, and locations involved in collecting and distributing Zakat funds. This information can improve the Zakat system’s efficiency and transparency and support research and analysis on Zakat-related topics. The average performance evaluation of the Indonesian-NER model showed a precision of 0.902, recall of 0.834, and an F1-score of 0.867.
Optimization on Plant Row and Spacing Configuration of Maize and Soybean under 1∶ 2 Intercropping Planting Model

The intercropping of maize and soybean is popular in the mountain area of Southwest China. In this paper,after screening out 1∶ 2 as the best row ratio of maize to soybean,the detailed plant configuration was investigated. Plant space of soybean,row space between soybeans or between soybean and maize all had no significant effect on soybean yield,but extremely significant on maize yield. The tested factors and their interaction influenced total output of maize and soybean significantly.The optimized plant configuration were 25 cm between soybean rows and 10 cm between soybean plants,30 cm row space between soybean and maize,and 25 cm between maize plants. Under this planting mode,the planting density of maize and soybean were 4. 71 × 104and 23. 54 × 104plants·ha- 1,their yield were 10 074. 88 and 1 168. 44 kg·ha- 1,respectively. The total output of maize and soybean was 34 752. 84 yuan·ha- 1,and the contribution rate of soybean was 18. 82%。
A Pragmatic Approach to Preparing Novice Doctoral Qualitative Researchers

Fifty percent of social science and education doctoral students in the United States fail to complete their programs. Within this context, studies addressing research methods pedagogy and qualitative methods in particular, continue to be limited. This mixed-methods case study addresses these issues by: 1) using the Ready Develop Integrate Perform (RDIP) model to frame the competency-based design and implementation of an introductory doctoral qualitative core course and its supporting learning management system; and, 2) examining effectiveness using a framework of direct and indirect assessment evidence from online and face-to-face learners. The current design scaffolds students through qualitative research methodology and methods learning and culminates with the implementation of an individually-chosen authentic research project. A sample of online and face-to-face students, representing 37% of eligible participants (n=23), reported a stronger sense of readiness for independent research and dissertation work. In addition to expanding the qualitative methods pedagogical literature and supporting the improvement of doctoral research education, this paper a competency-based design that may be implemented in any disciplinary setting. The detailed blueprint and implementation advice for university teachers makes this work relevant to a broad multidisciplinary and international audience.