Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-step prediction of dissolved oxygen in river based on random forest missing value imputation and attention mechanism coupled with recurrent neural network

Accurately predicting dissolved oxygen is of great significance to the intelligent management and control of river water quality. However, due to the interference of external factors and the irregularity of its changes, this is still a ticklish problem, especially in multi-step forecasting. This article mainly studies two issues: we first analyze the lack of water quality data and propose to use the random forest algorithm to interpolate the missing data. Then, we systematically discuss and compare water quality prediction methods based on attention-based RNN, and develop attention-based RNN into a multi-step prediction for dissolved oxygen. Finally, we applied the model to the canal in Jiangnan (China) and compared 8 baseline methods. In the dissolved oxygen single-step prediction, the attention-based GRU model has better performance. Its measure indicators MAE, RMSE, and R2 are 0.051, 0.225, and 0.958, which are better than baseline methods. Next, attention-based GRU was developed into multi-step prediction, which can predict the dissolved oxygen in the next 20 hours with high prediction accuracy. The MAE, RMSE, and R2 are 0.253, 0.306, and 0.918. Experimental results show that attention-based GRU can achieve more accurate dissolved oxygen prediction in single-step and multi-step predictions.
Security Ontology Structure for Formalization of Security Document Knowledge

Cybersecurity solutions are highly based on data analysis. Currently, it is not enough to make an automated decision; it also has to be explainable. The decision-making logic traceability should be provided in addition to justification by referencing different data sources and evidence. However, the existing security ontologies, used for the implementation of expert systems and serving as a knowledge base, lack interconnectivity between different data sources and computer-readable linking to the data source. Therefore, this paper aims to increase the possibilities of ontology-based cyber intelligence solutions, by presenting a security ontology structure for data storage to the ontology from different text-based data sources, supporting the knowledge traceability and relationship estimation between different security documents. The proposed ontology structure is tested by storing data of three text-based data sources, and its application possibilities are provided. The study shows that the structure is adaptable for different text data sources and provides an additional value related to security area extension.
Exact SNR and SIR analysis in Poisson wireless networks

The probability density function and cumulative distribution function of the received signal-to-noise ratio (SNR) and the received signal-to-interference ratio (SIR), for interference-limited systems is derived, at the nth nearest neighbour node in a Poisson point process wireless random network. The analytical expressions are given in terms of the Meijer G-function and reveal the impact of node spatial density, transmit power, interference power, and path-loss exponent on the connectivity probability of a broadcast wireless transmission. The analytical results are validated with computer simulation.
Biological Flora of Britain and Ireland: Fritillaria meleagris

This account presents information on all aspects of the biology of Fritillaria meleagris L. (Snake's Head Fritillary). The main topics are presented within the standard framework of the Biological Flora of Britain and Ireland: distribution, habitat, communities, responses to biotic factors, responses to environment, structure and physiology, phenology, floral and seed characters, herbivores and disease, history, and conservation. Fritillaria meleagris is a perennial spring bulb that grows in wet mesotrophic meadows and wet openings in woodlands. In Britain, it is localised to floodplain meadows but occurs as an intentional introduction in a range of habitats. There are several large populations on the floodplains of the River Thames and its tributaries in Wiltshire, Berkshire and Oxfordshire. Fritillaria meleagris occurs on mesotrophic alluvium soils often overlaying calcareous gravel with a relatively wide pH range. It favours a high ground water table during winter months and spring followed by good drainage of the soil throughout the summer. Fritillaria meleagris plants regularly experience prolonged dormancy. From 30% to 99% of plants in a population can remain below‐ground for more than a year. Fritillaria meleagris produces nectar and is mainly pollinated in April by bumblebee queens in England. Other pollinators include insects of the orders Hymenoptera, Diptera and Lepidoptera, particularly bumblebees, hoverflies and butterflies. The release of the seeds from the pod in May–June can take a month. Seeds require warm and cold treatments for the embryo to fully form. Air pockets aid seed flotation on the surface of flood water for up to a month. The seeds of Fritillaria meleagris do not form a seed bank, germinating either during flotation or on bare ground. Fritillaria meleagris declined in Britain during the 20th century due to agricultural improvement and ploughing of floodplain grasslands. In all, 20 or so remaining populations survive in ancient hay meadows. Several of its British locations receive statutory protection as designated sites. However, recent work suggests that F. meleagris was probably introduced to Britain as an ornamental, and the level of protection it receives is therefore likely to change.
Continuous Production of Highly Tuned Silk/Calcium-Based Composites: Exploring New Pathways for Skin Regeneration

Calcium plays an important role in barrier function repair and skin homeostasis. In particular, calcium phosphates (CaPs) are well established materials for biomedical engineering due to their biocompatibility. To generate biomaterials with a more complete set of biological properties, previously discarded silk sericin (SS) has been recovered and used as a template to grow CaPs. Crucial characteristics for skin applications, such as antibacterial activity, can be further enhanced by doping CaPs with cerium (Ce) ions. The effectiveness of cell attachment and growth on the materials highly depends on their morphology, particle size distribution, and chemical composition. These characteristics can be tailored through the application of oscillatory flow technology, which provides precise mixing control of the reaction medium. Thus, in the present work, CaP/SS and CaP/SS/Ce particles were fabricated for the first time using a modular oscillatory flow plate reactor (MOFPR) in a continuous mode. Furthermore, the biological behavior of both these composites and of previously produced pure CaPs was assessed using human dermal fibroblasts (HDFs). It was demonstrated that both CaP based with plate-shaped nanoparticles and CaP-SS-based composites significantly improved cell viability and proliferation over time. The results obtained represent a first step towards the reinvention of CaPs for skin engineering.
Investigation of ambient temperature and thermal contact resistance induced self-heating effects in nanosheet FET

Self-heating effect (SHE) is a severe issue in advanced nano-scaled devices such as stacked nanosheet field-effect transistors (NS-FET), which raises the device temperature (T D), that ultimately affects the key electrical characteristics, i.e. threshold voltage (V T), DIBL, subthreshold slope (SS), I OFF, I ON, etc. SHE puts design constraints in the advanced CMOS logic devices and circuits. In this paper, we thoroughly investigated the impact of ambient temperature and interface thermal contact resistance induced-self heating effect in the NS-FET using extensive numerical simulations. The weak electron–phonon coupling, phonon scattering, and the ambient temperature-induced joule energy directly coupled with thermal contact resistance cause the SHE-induced thermal degradation, which increases the device temperature (T D) and affects the device reliability. The baseline NS-FET is well-calibrated with the experimental data and 3D quantum corrected drift-diffusion coupled hydrodynamic and thermodynamic transport models is used in our TCAD framework to estimate the impact of ambient temperature and interface thermal contact resistance on the device performance. Moreover, we also evaluate the SHE-induced performance comparison of NS-FET with conventional FinFET and found that thermal degradation in NS-FET potentially worsen the electrical characteristics. Thus, a detailed TCAD analysis shows that the ambient temperature and interface thermal contact resistances deteriorate the effective thermal resistance (R eff) and device performance metrics.
Analisis Sentemen Terhadap Aplikasi Bukalapak Sebelum IPO dan Sesudah IPO Menggunakan Algoritma Naive Bayes

Bukalapak adalah salah satu startup eCommerce paling awal yang berdiri di Indonesia. Bukalapak sudah menjembatani antara penjual (Pelapak) dengan pembeli sejak 2010. Pada tahun 2021 Bukalapak memberanikan diri untuk melakukan Initial Public Offers di BEI. Banyak ragam tanggapan dari pengguna Bukalapak terhadap langkah Bukalapak tersebut, baik positif maupun negatif. Sentimen negatif atau positif tersebut dapat menjadi masukan dan evaluasi bagi Bukalapak sendiri untuk mejaga loyalitas penggunanya. Proses penelitian ini dimulai dari pengumpulan data yang diperoleh dari scrapping data review produk Bukalapak di Google Playstore sebelum dan sesudah IPO. Kemudian dilakukan preprosesing data mulai dari casefolding, penghilangan stop word, tokenisasi, steming hingga TF-IDF. Hasil dari preprosesing tersebut kemudian dijadikan data untuk melakukan klasifikasi menggunakan Naive Bayes. Klasifikasi tersebut kemudian diuji dan mendapatkan nilai akurasi untuk data sebelum IPO sebesar 77% dan data setelah IPO sebesar 76%.
Fundamentals concerning wave loading on offshore structures

This article is aimed at relating a certain substantial body of established material concerning wave loading on offshore structures to fundamental principles of mechanics of solids and of fluids and to important results by G. I. Taylor (1928a, b). The object is to make some key parts within a rather specialised field accessible to the general fluid-mechanics reader. The article is concerned primarily to develop the ideas which validate a separation of hydrodynamic loadings into vortex-flow forces and potential-flow forces; and to clarify, as Taylor (1928b) first did, the major role played by components of the potential-flow forces which are of the second order in the amplitude of ambient velocity fluctuations. Recent methods for calculating these forces have proved increasingly important for modes of motion of structures (such as tension-leg platforms) of very low natural frequency.
Free space optical communication based on pulsed lasers

Most of the current optical data transmission systems are based on continuous wave (cw) lasers. It results from the tendency to increase data transmission speed, and from the simplicity in implementation (straightforward modulation). Pulsed lasers, which find many applications in a variety of industrial, medical and military systems, in this field are not common. Depending on the type, pulsed lasers can generate instantaneous power which is many times greater when compared with cw lasers. As such, they seem to be very attractive to be used in data transmission technology, especially due to the potentially larger ranges of transmission, or in adverse atmospheric conditions where low power cw-lasersbased transmission is no longer feasible. It is also a very practical idea to implement data transmission capability in the pulsed laser devices that have been around and already used, increasing the functionality of this type of equipment. At the Institute of Optoelectronics at Military University of Technology, a unique method of data transmission based on pulsed laser radiation has been developed. This method is discussed in the paper in terms of both data transmission speed and transmission range. Additionally, in order to verify the theoretical assumptions, modules for voice and data transmission were developed and practically tested which is also reported, including the measurements of Bit Error Rate (BER) and performance vs. range analysis.
Utilization of Social Media and Its Impact on Marketing Performance: A Case Study of SMEs in Indonesia

The role of social media has changed both producer and consumer behaviour worldwide. It connects businesses and customers to communicate with each other seamlessly. Social media can bring many advantages for SMEs, but many SMEs still have not realized it. Several SMEs have higher marketing performance through social media channels, while most SMEs struggle to implement social media benefits because of their limitation in technological knowledge. This study explores why and how SMEs use social media and its impact on marketing performance by using an explanatory pilot study as a research method. The qualitative data analysis were examined through thematic analysis. The findings of this study provide nuance to explain the role of social media for SMEs in six main themes: (1) Branding, advertising, and promoting; (2) Enhancing community interaction and content sharing; (3) Building trust and relationships; (4) Reaching potential customers; (5) Digital marketing trends, and (6) Low-cost promotion and content customization. Another notable contribution of this study is the importance of social media adoption to improve SMEs' marketing performance through creative advertisement using lower marketing costs.
Ferrite-tuner Development for 80 MHz Single-Cell RF-Cavity Using Orthogonally Biased Garnets

In the frame of the LHC Injector Upgrade program involving the existing 80 MHz cavities in the CERN PS accelerator, an orthogonally biased ferrite tuner is foreseen to complement the current motor-driven piston tuner. This ferrite tuner shall provide the possibility of a fast frequency shift of about 200 kHz on the fundamental mode, to allow a fast switching between proton and ion frequencies. In order to avoid water cooling and related issues, the challenge was to bring magnetic losses in the tuner to a minimum such that a forced air cooling scheme will be sufficient. The tuner was first designed with simulation tools, a prototype was built and low-power RF testing was performed on the tuner-cavity combination to evaluate tuning range, bandwidth, and stability. These tests were carried out on a single-cell copper RF cavity mock-up with a resonance frequency of 88 MHz, where the ferrite tuner is connected via a tuning loop and the perpendicular magnetic bias for the ferrite tuner is provided by a DC bias supply. Simulations and test data will be presented.
Binding Affinity and Mechanisms of Potential Antidepressants Targeting Human NMDA Receptors

Depression, a mental disorder that plagues the world, is a burden on many families. There is a great need for new, fast-acting antidepressants to be developed. N-methyl-D-aspartic acid (NMDA) is an ionotropic glutamate receptor that plays an important role in learning and memory processes and its TMD region is considered as a potential target to treat depression. However, due to the unclear binding sites and pathways, the mechanism of drug binding lacks basic explanation, which brings great complexity to the development of new drugs. In this study, we investigated the binding affinity and mechanisms of an FDA-approved antidepressant (S-ketamine) and seven potential antidepressants (R-ketamine, memantine, lanicemine, dextromethorphan, Ro 25-6981, ifenprodil, and traxoprodil) targeting the NMDA receptor by ligand–protein docking and molecular dynamics simulations. The results indicated that Ro 25-6981 has the strongest binding affinity to the TMD region of the NMDA receptor among the eight selected drugs, suggesting its potential effective inhibitory effect. We also calculated the critical binding-site residues at the active site and found that residues Leu124 and Met63 contributed the most to the binding energy by decomposing the free energy contributions on a per-residue basis. We further compared S-ketamine and its chiral molecule, R-ketamine, and found that R-ketamine had a stronger binding capacity to the NMDA receptor. This study provides a computational reference for the treatment of depression targeting NMDA receptors, and the proposed results will provide potential strategies for further antidepressant development and is a useful resource for the future discovery of fast-acting antidepressant candidates.
Strategic Agility: Linking People and Organisational Performance of Private Higher Learning Institutions in Malaysia

Strategic agility arises from the capabilities of people. Ultimately, in today’s turbulent business landscape, organisations need strategic agility to acquire the dynamism to achieve their goals. The main purpose of the study is to examine the relationship between people, strategic agility, and organisational performance. The partial least squares equation modelling technique (PLS-SEM) was utilised on a dataset of 155 private higher learning institutions in Malaysia. The results did not support the direct relationship between people and organisational performance. Instead, it confirmed the mediating effect of strategic agility in the relationship. This finding provided significant contribution as strategic agility, created by people, was empirically proven as a crucial link that needs to be prioritised by private higher learning institutions in Malaysia. With strategic agility, private higher learning institutions will be able to optimise their performance in order to attain business sustainability in the current dynamic market.
The Rise of Small UAVs in Precision Agriculture

Abstract. Unmanned aerial vehicles (UAVs) were originally designed for dull, dirty, and often dangerous work in military operations. However, like other military technologies, such as GPS, UAVs will soon find more use in civilian applications. In fact, the Federal Aviation Administration (FAA) is congressionally mandated to open U.S. air space for the commercial use of UAVs by 2015. A conservative estimate by an aviation economist projected a $13.6 billion impact of this technology in the first three years of approved commercial use (2015-2018), and among all potential markets for UAVs, precision agriculture is considered to be the largest. This will have significant implications for precision agriculture. By linking wireless sensor networks and robotic and automation systems, UAVs can change the way we collect field data, monitor field equipment, and even operate agricultural machinery.
General Propagation Lattice Boltzmann Model for the Boussinesq Equation

A general propagation lattice Boltzmann model is used to solve Boussinesq equations. Different local equilibrium distribution functions are selected, and the macroscopic equation is recovered with second order accuracy by means of the Chapman–Enskog multi-scale analysis and the Taylor expansion technique. To verify the effectiveness of the present model, some Boussinesq equations with initial boundary value problems are simulated. It is shown that our model can remain stable and accurate, which is an effective algorithm worthy of promotion and application.
In the shadow of gender: Wives of prisoners in Turkey

ABSTRACT Imprisonment of men can many negative economic, social and psychological effects on prisoners, their spouses and children. It is important to evaluate these and understand the gender-related experiences of wives of prisoners. So, we conducted three focus group discussions (FGDs) with 14 women in Turkey. We used an inductive content analysis approach and identified four relevant themes as follows: (1) women’s roles (as spouse, mother and social beings), (2) poverty, (3) stigma and exclusion, and (4) coping mechanisms. We noted that our respondents faced economic problems, difficulties in raising children, social exclusion, and emotional difficulties. In Turkey, gender norms and insufficient policies and services for such women exacerbate such issues. It is therefore important to develop gender-sensitive services that would empower and support them.
Evaluating the quality of kiwifruit pollinated with an autonomous robot

The growing popularity of kiwifruit orchards in New Zealand is increasing the already high demand for traditional pollinators (bees), with alternatives currently too costly for most growers due to high labour requirements or inefficient usage of expensive pollen. A novel pollinating robot has been previously described to provide a more efficient, reliable and cost-effective means of addressing this problem. However, the pollinator suffered from a low fruit-set rate of 40% overall, well below commercial requirements of 80% to 90%. This paper presents two new developments for that system: a new, off the shelf spray nozzle (SS1504) to increase the overall pollen delivery and an automated height controller to keep the spray manifolds at a consistent distance below the canopy while avoiding obstacles. Furthermore, we have designed and conducted a more controlled, real-world evaluation of the pollination system to compare both nozzle variants and measure the commercial viability of the pollination platform. Final results show that, operating from a mobile platform at 2.5 km h −1 , the new nozzle could consistently achieve a fruit-set rate only 16 ± 2% below the control samples in each test orchard (82 ± 2% and 72 ± 4% absolute). Pollen consumption remains high, however, with estimates of up to 4.6 kg ha−1 , thus preventing the system from being economically viable. While cost-effectiveness awaits substantial efficiency improvements, our work has demonstrated an automated pollinator that can produce commercial-grade kiwifruit.
What Makes APIs Difficult to Use

Summary Use of APIs is an inseparable part of software development today. But programmers often find difficulties in using those APIs in client code [27]. This reduces programmers' productivity as well as quality of the client code [30]. Therefore, APIs should be implemented to have high usability, and to this extent a good understanding of what makes APIs difficult to use demands the foremost importance. I reviewed existing literature in this area and identified significant factors that put barriers on usability of the APIs. In presenting the findings this paper makes two contributions: (1) The results would be useful for the API designers and developers to produce more usable APIs for the community, (2) The findings indicate further research scope in this area, which would be interesting to the researchers.