Miracle-dz/UniFAR-FTUs huggingface dataset:
Customer Satisfaction Toward Commercial E-Services in Saudi Arabia: A Sentiment Analysis

The e-government in Saudi Arabia has evolved significantly over the last two decades. Therefore, this study investigated the commercial e-services provided by the Saudi Ministry of Commerce (MOC). Sentiment analysis was conducted to assess customer satisfaction using these MOC's e-services. To this end, data were collected from Twitter and App reviews, after which two approaches were applied to the analysis: manual annotation- and lexicon-based approaches. Then, each experiment was evaluated using three machine learning classifiers, namely, support vector machine (SVM), Naïve Bayes (NB), and logistic regression (LR), based on several metrics such as accuracy, precision, recall, and the F1-score. The results showed that more than 90% of the data was neutral, and that more users were negatively satisfied with the MOC's e-services than were satisfied with them. Furthermore, based on the accuracy of all three classifiers, the results indicated that while the manual annotation approach outperformed the lexicon-based approach, SVM showed better performance than NB and LR in the two experiments.
The potential of river utilization as public health leverage in Indonesia

Rivers has tremendous benefits for human life generally and for Indonesian’s health and wellbeing’s society in particular. One of them is the function of the river to support peoples who live in the watershed. However, river basin could become health menace if not well maintained, for example, the flood that might be caused by silting of the river as the impact from littering. Public health is not only measured by the high rates of morbidity in an area but can also be triggered by extraordinary events or disasters such as floods. This paper was made to analyze the ability of the river as a community health leverage through identification and review of various articles. Based on extensive article reviews, this study was found that disease prevention and environmental control were the two main factors that could be the foundation of levers public health degrees. Therefore, it is essential to prevent transmissions of infectious diseases and to maintain a sustainable environment.
Mitigating IEC-60870-5-104 Vulnerabilities: Anomaly Detection in Smart Grid based on LSTM Autoencoder

Advanced Information Communication Technology (ICT) is used in smart grid systems to introduce intelligence and efficiency, potentially outperforming conventional power systems. A fundamental component of a smart grid system is the Smart Meters (SMs), which are integrated with billing utilities, such as national control centers (NCC), and advanced metering infrastructure (AMI). However, like most emerging technologies, some security vulnerabilities and attacks were found. In this paper, we address such vulnerabilities, specifically associated with SMs, that occur when energy consumption is reported to the billing system, specifically through the IEC-60870-5-104(IEC-104) protocol. Since existing datasets do not include sufficient data related to such vulnerabilities, especially in SM with IEC-104 protocol communication, we developed a testbed with a virtual environment and generated a dataset with and without attack vectors. We then proposed a novel anomaly detection algorithm based on LSTM autoencoder, which combines the functional benefits of LSTM and the deep learning of autoencoders. The model's performance is evaluated against two popular attacks, MITM and Replay, and our result shows that the replay attack is harder to find since the attack is executed without data alteration.
Flies in the high for floral hike? Altitudinal variation in species diversity and composition of Diptera (Insecta) in the eastern Himalaya, India

Species diversity and composition enable us to understand the conservation and management of an ecosystem. There is scarcity of knowledge in understanding the diversity change across the gradients of elevation, especially in the Himalaya. Here, we focused in the eastern Himalaya to investigate the patterns of taxonomic and functional diversity of true flies with relation to variation in altitude. The study was conducted in protected area (Neora Valley National Park) in the eastern Himalaya, India and the survey was conducted at five altitudinal zones (from 500 to 3,000 m). A total of 201 species of Diptera, with 105 genera and 33 families were recorded, of which 25 species are new to the state of West Bengal and eight species are new to India. The species diversity increased with elevation (maximum was near 2,500 m) and most of the flies preferred to be close to bushes with flowers, with a substantial percentage of them being pollinator species. Flies adapt to the various vegetation and climate patterns, which was evident by the abundance of fly species at high altitudes (1,500–2,500 m). Hence, it is very important to implement appropriate actions to protect the diversity of true flies in this Himalayan landscape.
Accumulation of Fungal Pathogens Infecting the Invasive Spotted Lanternfly, Lycorma delicatula

Simple Summary Populations of the invasive spotted lanternfly in the eastern United States threaten vineyards and pose a public nuisance. Methods for control are being investigated, with an interest in mortality caused by insect-specific pathogens and naturally occurring predators. Two species of insect-pathogenic fungi caused extensive mortality in spotted lanternfly populations in fall 2018, and two additional fungal pathogens have been reported. Our extensive surveys, which emphasized a year with a summer drought, document that while Beauveria bassiana was most abundant, fifteen additional fungal pathogens killed spotted lanternflies. Although levels of infection for many pathogen species were low, infection was greatest in adults sampled in September and October, when spotted lanternfly reproduction occurs. Thus, we report an increased diversity of naturally occurring generalist fungal pathogens attacking this relatively new invasive planthopper. Abstract In the eastern United States, populations of the invasive spotted lanternfly, Lycorma delicatula, are abundant and spreading. Four species of naturally occurring entomopathogenic fungi have previously been reported as infecting these planthoppers, with two of these causing epizootics. Nymphal- and adult-stage lanternflies in Pennsylvania and New York were surveyed for entomopathogenic fungal infections from October 2021 to November 2023, and assays were conducted to confirm the pathogenicity of species that were potentially pathogenic. Beauveria bassiana was the most abundant pathogen, but we report an additional 15 previously unreported species of entomopathogenic fungi infecting spotted lanternflies, all in the order Hypocreales (Ascomycota). The next most common pathogens were Fusarium fujikuroi and Sarocladium strictum. While infection prevalence by species was often low, probably impacted to some extent by the summer drought in 2022, together these pathogens caused a total of 6.7% mortality. A significant trend was evident over time within a season, with low levels of infection among nymphs and higher infection levels in mid- and late-stage adults, the stages when mating and oviposition occur.
Is the current fisheries management toolbox sufficient to address climate change

This report is presented in response to the request by the Fisheries Committee of the OECD as a submission to the international workshop on “The Economics of Adapting Fisheries to Climate Change” to be hosted the OECD Committee for Fisheries and the Fisheries Policies Division and held on June 10-11, 2010 in Busan, Korea. The workshop addresses what fisheries policy makers should do in order to develop adaptive and flexible fisheries management regimes to the changing climate and help the transition of fishing industries and communities. This paper examines current fisheries and aquaculture management methods and their strengths and weaknesses, successes and failures with dealing with the potential risks and pressures posed by climate change. The paper also addresses how fisheries management deals with uncertainty in planning fisheries management strategies and examines management responses to climate change threats and impacts. Finally, the paper discusses fisheries management methods alignment to adapt to pending climate change. The paper concludes that what is required is an evolving, responsible, and resilient fisheries management system that establishes a contextual and participatory governance framework characterised by flexible, and adaptive operational and strategic decision making. Decision support tools featuring operational targets and decision rules are presented to illustrate adaptive fisheries management.
Analysis of Convergent Validity of Performance-Based Activities of Daily Living Assessed by PA-IADL Test in Relation to Traditional (Standard) Cognitive Assessment to Identify Older Adults with Mild Cognitive Impairment

Difficulty in performing instrumental activities of daily living (IADLs) is currently considered an important indicator of cognitive impairment in the elderly. A non-experimental case–control investigation was conducted to assess the convergent validity of the PA-IADL with traditional (standard) cognitive assessment tests in its ability to identify adults with mild cognitive impairment. The analysis of the data was carried out by means of various multivariate statistical tests, and the sequence in its execution led to the conclusion that 8 of the 12 Tasks that make up the PA-IADL allow for the identification of people with mild cognitive impairment (MCI) to the same extent as traditional cognitive assessment tests and regardless of age. Age was found to be a moderating variable in the performance of the eight tasks; however, the results allow us to hypothesize that people with MCI experience a significant decline when it happens but thereafter, the deterioration that occurs does so at the same rate as the deterioration experienced by healthy people. They also allow us to hypothesize that the difference in the cognitive skills required by the eight functional tasks, and therefore also in the cognitive skills required by the traditional (standard) tests of a person with MCI compared to a person of the same age without MCI (Healthy), is approximately 10 years. These hypotheses have remarkable relevance and should be tested via longitudinal research. In the meantime, the results highlight the importance of the IADL assessment for the diagnosis of MCI as a complement to the standard cognitive assessment.
Levels of selected macronutrients in varieties of pumpkin (cucurbita spp) grown in four selected districts in Lake Victoria Basin.

Lake Victoria Basin is one of the regions in sub-Sahara Africa which is densely populated and majority of the inhabitants are poor economically. Cases of diseases related to nutrient deficiency, child mortality, high HIV and AIDS have increased in the recent years due to malnutrition and undernourishment as the cost of basic foods have been on the rise. One way of reducing malnutrition is increased consumption of indigenous fruits and vegetables which offer variety of nutrients. The region has various indigenous foods not commonly consumed among them being pumpkins. Studies on pumpkin production, utilization and the nutritional content involving micronutrients have shown that different varieties of pumpkins contain different levels of nutrients. The need to promote varieties with higher levels of nutrients requires that levels are known. This study sought to determine varieties of pumpkins grown and the levels of selected macronutrientsproteins, carbohydrates, lipids, potassium, sodium, calcium, magnesium and phosphorus from Gucha & Busia in Kenya, Jinja in Uganda and Tarime in Tanzania. Identification of farmers was done through snowball (chain/referral) sampling method to obtain the pumpkin fruits. The levels of proteins were determined using kjeldahl method, carbohydrates using athrone method, lipids using soxhlet extraction, sodium and potassium using flame atomic emission spectroscopy, calcium and magnesium using flame atomic absorption spectroscopy and phosphorus using UV-visible spectrophotometry. Calibration curves of standards gave R 2 > 0.995 which were used to determine the concentrations. Samples of six pumpkin varieties identified namely banana, carnival squash, crown prince, green kabacha, butternut and bottle guard were collected for macronutrient analysis. The level of proteins in the fruit flesh was 2.525 ± 0.620 g per 100g sample while in seeds was 34.882 ± 1.805 g, carbohydrates 7.604 ± 1.128 g in the fruit flesh and 3.118 ± 1.054 g in seeds, lipids in fruit flesh was 1.737 ± 1.031 g and 40.581 ± 6.543 g in seeds, phosphorus was 29.439 ± 2.371 ppm in the fruit flesh and 702.468 ± 6.910 ppm in seeds, potassium was 326.698 ± 20.73 ppm in the fruit flesh and 83.981 ± 621 ppm in seeds, sodium was 90.034 ± 14.23 ppm in the fruit flesh and 36.061 ± 4.24 ppm in seeds, magnesium was 21.144 ± 3.721 ppm in the fruit flesh and 57.261 ± 2.537 ppm in seeds, and finally, calcium was 64.654 ± 4.613 ppm in the fruit flesh and 99.659 ± 8.731 ppm in seeds. The levels of these nutrients varied significantly with variety and crown prince was superior over the others which support the view that pumpkins can be used to supplement nutrient availability to the inhabitants if grown.
Fatty acid compositions of four edible fishes of Hooghly Estuary, West Bengal, India

Fish is an important source of food for mankind all over the world since time immemorial. Fishes are not only the major protein source but they also contain nutritionally valuable lipids and fatty acids. The consumption of fish and fish products is recommended as a means of preventing cardiovascular and other diseases and has greatly increased over decades in many European Countries (Cahu et.al., 2004). Besides these fishes have immense anti microbial peptide in defending against dreadful human pathogens (Ravichandran et. al., 2010). When fish is suggested as a means of improving health, both the lipid content and the PUFA distribution must be considered. It is generally recognized that polyunsaturated fatty acids (PUFA) composition might vary among species of fish. However, little attention has been paid to the PUFA composition of different species when selecting fish for diet (Hearn and Sgoutas, 1987). Currently all over the ISSN: 2319-7706 Volume 3 Number 7 (2014) pp. 208-218 http://www.ijcmas. com
Phase estimation using sine fitting with low number of samples is biased in the presence of additive noise

It is demonstrated here that the initial phase estimation of a sine wave corrupted by additive noise using the least squares sine fitting algorithm is not biased, even for low number of samples, contrary to what happens in the case of the amplitude estimation. Monte Carlo simulations are presented which corroborate the conclusion reached. This result is of particular importance when studying the uncertainty of measurement methods based on phase estimation like ultrasonic non‑destructive testing.
Time Series Analysis by Bi-GRU for Forecasting Bitcoin Trends based on Sentiment Analysis

In the last few years, the cryptocurrency market, especially Bitcoin, has attracted many people, including machine learning engineers. They have heavy competition in predicting the price or the rise and fall of the price in the future. To achieve this goal, they used various types of approaches like Linear Regression, SVM, and deep learning methods like Neural networks, Recurrent neural networks like RNN, LSTM, and GRU, Bidirectional neural networks, and a combination of methods. M.L and D.L engineers used various types of information to feed their models especially emotional analysis of people. Emotions that people express on social networks, especially Twitter. The purpose of this paper is to introduce a new approach to Bitcoin trend prediction using deep learning algorithms. By sentiment analysis of extracted data from Twitter and tracking the previous price. The data collected for this research is between January 2012 and December 2020. This article compares LSTM, Bi-LSTM, GRU, and Bi-GRU algorithms to predict the trend of Bitcoin price changes. The Bi-GRU algorithm better performance by registering a record of 72% accuracy in predicting the trend of Bitcoin price changes and improving 20% the speed of the learning process.
DPRNN-Former: An Efficient Way to Deal with Blind Source Separation

Recent advancements in DL have indicated that time-domain methods are more successful than traditional time-frequency-based methods regarding speech separation. However, modeling very long sequences in time-domain separation systems presents some challenges. Recurrent neural networks and 1-D convolutional neural networks are not sufficient for modeling lengthy sequences by themselves. In this paper, a hybrid RNN is proposed, combining a pre-trained DPRNN and transformer. This strategy uses the transformer's ability to perceive context, allowing it to gain insight into the time-evolving data connected to audio signals. To handle extended input sequences, the network partitions them into more manageable sections, performing intra-section and inter-section operations iteratively. The proposed network surpasses current state-of-the-art algorithms, achieving SI-SNR of 11.129 and SDR of 11.285 dB on the public WSj0-3mix dataset.
Characteristic period of response spectrum for surface and borehole ground motions

Determining the characteristic period of ground motions (Tg) is an essential step in the seismic design of structures, but a critical problem that needs to be solved is figuring out how to do so when bedrock ground motion is utilized as an input. In this paper, the relationship between surface and borehole temperature data is investigated, and the main factors affecting the Tg are analyzed. Then, the algorithm for predicting Tg is presented. It is found that two factors, i.e., peak ground acceleration (PGA) and fault distance have significant effects on the value of Tg. By comparing the values of Tg for borehole and surface motions, we find that, contrary to expectation, Tg for borehole motions is usually larger than that for surface motions in most cases. Finally, the conversion equation between the Tg for borehole and surface motions is given using regression analysis.
Neural Mobilization for Reducing Pain and Disability in Patients with Lumbar Radiculopathy: A Systematic Review and Meta-Analysis

Lumbar radiculopathy causes lower back and lower extremity pain that may be managed with neural mobilization (NM) techniques. This meta-analysis aims to evaluate the effectiveness of NM in alleviating pain and reducing disability in patients with lumbar radiculopathy. We hypothesized that NM would reduce pain and improve disability in the lumbar radiculopathy population, leveraging the statistical power of multiple studies. Electronic databases from their inception up to October 2023 were searched for randomized controlled trials (RCTs) that explored the impact of NM on lumbar radiculopathy. Our primary outcome measure was the alteration in pain intensity, while the secondary one was the improvement of disability, standardized using Hedges’ g. To combine the data, we employed a random-effects model. A total of 20 RCTs comprising 877 participants were included. NM yielded a significant reduction in pain intensity (Hedges’ g = −1.097, 95% CI = −1.482 to −0.712, p < 0.001, I2 = 85.338%). Subgroup analyses indicated that NM effectively reduced pain, whether employed alone or in conjunction with other treatments. Furthermore, NM significantly alleviated disability, with a notable effect size (Hedges’ g = −0.964, 95% CI = −1.475 to −0.453, p < 0.001, I2 = 88.550%), particularly in chronic cases. The findings provide valuable insights for clinicians seeking evidence-based interventions for this patient population. This study has limitations, including heterogeneity, potential publication bias, varied causal factors in lumbar radiculopathy, overall study quality, and the inability to explore the impact of neural pathology on NM treatment effectiveness, suggesting opportunities for future research improvements.
Sytuacja demograficzna młodzieży i jej społeczne konsekwencje

Artykuł ten poświęcony jest przybliżeniu czytelnikowi globalnej sytuacji społeczno-demograficznej młodzieży. Będę starała się pokazać położenie młodych osób w globalnych strukturach demograficznych oraz nawiązać do wynikających z tego konsekwencji i wyzwań. Tym samym punkt ten poświęcę na charakterystykę, w oparciu o dostępne dane i opracowania, młodego pokolenia w ujęciu globalnym, kontynentalnym i krajowym (Polska). Postaram się wskazać najważniejsze zmienne, które odzwierciedlają sytuację młodych na tle innych grup wiekowych oraz zastanowić się nad konsekwencjami społecznymi ujawnionych procesów dla statusu kategorii młodzieży.
Non-Invasive Diagnostic of NAFLD in Type 2 Diabetes Mellitus and Risk Stratification: Strengths and Limitations

The progressive potential of liver damage in type 2 diabetes mellitus (T2DM) towards advanced fibrosis, end-stage liver disease, and hepatocarcinoma has led to increased concern for quantifying liver injury and individual risk assessment. The combination of blood-based markers and imaging techniques is recommended for the initial evaluation in NAFLD and for regular monitoring to evaluate disease progression. Continued development of ultrasonographic and magnetic resonance imaging methods for accurate quantification of liver steatosis and fibrosis, as well as promising tools for the detection of high-risk NASH, have been noted. In this review, we aim to summarize available evidence regarding the usefulness of non-invasive methods for the assessment of NAFLD in T2DM. We focus on the power and limitations of various methods for diagnosis, risk stratification, and patient monitoring that support their implementation in clinical setting or in research field.
Lithospheric studies using gradients from close encounters of ÿrsted, CHAMP, and SAC-C

(Received ; Revised ; Accepted ) Maps of the lithospheric magnetic eld made to date have used single satellite observations. In contrast, the upcoming Swarm mission will measure the magnetic eld gradient, in this case the difference in the magnetic eld between the lower two satellites. We discuss the optimum satellite separation, and the expected resolution achievable. We relate this gradient to underlying magnetic eld sources. In an attempt to better understand the advantages and limitations of gradient measurements, we have reviewed the yrsted, SAC-C, and CHAMP missions for close encounters, and examined some 50; 000 of those observations in detail. The lithospheric signal over the north polar cap is reliably isolated by standard selection criteria, with about 20% of the data retained. We demonstrate that, at least in the polar caps, the selection criteria are necessary for the isolation of the lithospheric signal. There is a tendency for the predictions to underestimate the observed eld, as shown by the slopes, which average about 2. This is especially notable over stronger anomalies. These gradients have evidently captured unmodeled, probably higher frequency, signal. Comparing the gradient measurement with the eld measurement, we see a notable improvment in both the correlation coefcient and the offset, with the correlation coefcient improving from about 0.7 to in excess of 0.8. The gradient control provided by SAC-C and yrsted is almost equally effective.