Miracle-dz/UniFAR-FTUs huggingface dataset:
Improved Analytical Solution for Water Hammer in Viscoelastic Pipes

— The challenge of the present paper is improving an analytical solution for the one-dimensional water hammer in viscoelastic pipeline due to sudden end valve closure. The importance of the analytical solution is providing the necessary design information, especially in absence of an analyzing software. New exact dimensionless analytical equation is derived to determine the attenuated pressure wave head along the first pressure wave trip, and the viscoelastic term is merged in the wave celerity expression. Then, the integration process is utilized to rederive an approximate analytical equation for the pressure head at the valve during the first half pressure wave cycle, which involves the maximum design pressure head. Performance of the analytical results is compared with numerical results of the method of characteristics, for nearly all literature studies of the problem. Perfect performance for the analytical results is obtained for frictionless pipes that are a little bit distorted as the ratio, of the steady state friction head losses in the pipe to the Joukowsky pressure head, increases. Therefore, a nonlinear deterministic optimization algorithm is adopted to improve the integration constant of the friction term, which enhances the accuracy of the analytical results.
Utilization of seafood byproducts: biological activities and biotechnological applications

Abstract The global demands for seafood products are steadily increasing and consequently numerous amounts of solid and liquid byproducts are generated that usually discarded leading to serious problems including loss of nutrients and environmental pollution that consequently negatively affect the human health. These byproducts are considered as an undiscovered treasure having the potentiality for the production of various probiotics as well as several biomaterials possessing multiple functional and biological activities. Nitrogenous compounds, lipids, polysaccharides and minerals are the main constitutive components that can be recovered or converted to value added products with potential nutritional, biomedical and pharmaceutical applications. Biological conversions via microbial fermentation and/or enzymatic treatment are eco-friendly economic processes that are widely applied leading to the production of bioactive protein hydrolysates, chitin based products and various industrial enzymes. In addition, algae based bioconversion is an efficient method for the valorization of seafood industry effluents via the production of various bio-refineries.
Forecasting Stock Prices Using Multi-Macroeconomic Regressors Based on the Facebook Prophet Model

This paper utilizes four Machine Learning (ML) models to forecast the stock prices of Meta Platforms, including Facebook Prophet with five regressors, Facebook Prophet with no regressor, NeuralProphet, and the ARIMA model. Facebook Prophet serves as the primary model for forecasting in this study. Five macroeconomic regressors are applied to the Facebook Prophet to increase the precision of Meta closing price prediction. The experiment also incorporates the NeuralProphet model and the ARIMA model to predict future Meta stock closing prices. NeuralProphet uses Neural Networks to model time-series data. A comparative study of the four models is made as part of the result analysis. No regressors are added to NeuralProphet or ARIMA for the purpose of comparative analysis. The experimental results show that the Facebook Prophet model with five regressors is the superior model for predicting stock prices compared to the NeuralProphet model and the ARIMA model. The forecasting done by Facebook Prophet with multi-regressors scores a mean absolute error of 14.08259, the lowest of the four models. It also scores the lowest for three other measures of errors. The results indicate that using five regressors related to the macroeconomy can achieve high forecasting accuracy.
Sensory Modulation in Children with Developmental Coordination Disorder Compared to Autism Spectrum Disorder and Typically Developing Children

Developmental Coordination Disorder (DCD) is one of the least studied and understood developmental disorders. One area that has been minimally investigated in DCD is potential issues with sensory modulation. Further, in other neurodevelopmental disorders (e.g., autism spectrum disorder (ASD)) sensory modulation is related to many other challenges (e.g., social issues, repetitive behaviors, anxiety); however, such potential relationships in children with DCD have been largely unexplored. The purpose of this study is to explore sensory modulation differences in DCD and to understand the relationships between sensory modulation and social emotional measures, behavior, and motor skills in DCD in comparison to ASD and typically developing (TD) peers. Participants (aged 8–17) and their caregivers (DCD, N = 26; ASD, N = 57; and TD, N = 53) completed behavioral and clinical measures. The results indicated that 31% of the DCD group showed sensory modulation difficulties, with the DCD group falling between the ASD and TD groups. In the DCD group, sensory modulation was significantly associated with anxiety, empathic concern, repetitive behaviors, and motor skills. Data are compared to patterns seen in ASD and TD groups and implications for interventions are discussed.
Zoonotic Helminths and Their Influences on Humans

Zoonotic helminths are big health concerns for both human and animals. Such concerns are brought to attention only after Centres for Diseases Control and Prevention decided to categorize a few helminth-related infection as Neglected Tropical Disease. Over the years, researchers were only able to study the more prevalent zoonotic helminths due to the large variety of the species. However, as more and more people start to pay attention to helminths disease, more species have been found parasitic to human. Helminthes have been generally classified into three basic groups: Flukes (trematodes), Tapeworms (Cestodes), and Roundworms (Nematodes). According to the existing medical technology, although helminths are not fatal to human if properly treated, current medical treatment cannot grant complete immunity to both the parasites and the infection. There are still a large number of people in the world are infected. In fact, parasitic helminths have infected roughly 16% of the global population. In order to treat helminths more effectively, the focus has been shifted from traditional medication to molecular treatment and general genome manipulation. This article summarized physiology of different types of helminths, and emphasized the importance of understanding helminths by elaborating on a few previous studies on the more commonly studied species. Moreover, this article discussed some area of interest that could be further researched in the future.
Effects of SrRuO3 buffer layer thickness on multiferroic (Bi0.90La0.10)(Fe0.95Mn0.05)O3 thin films

Multiferroic (Bi0.90La0.10)(Fe0.95Mn0.05)O3 (BLFMO) thin films were deposited on SrRuO3 (SRO) buffered Pt/TiO2/SiO2/Si(100) substrates with variable buffer layer thicknesses by using off-axis radio frequency sputtering. The orientation of BLFMO thin films is dependent on the SRO buffer layer thickness, which leads to a change in ferroelectric behavior. Due to the low leakage currents arising from the orientation change in association with the variation in SRO buffer layer thickness and the La and Mn codoping, well saturated P-E hysteresis loops (2Pr∼210.0 μC/cm2 and 2Ec∼525.5 kV/cm) are shown for the (111)-oriented BLFMO thin film at room temperature and 1 kHz. It also demonstrates little ferroelectric fatigue on 109 switching cycles. Moreover, the BLFMO thin film exhibits the enhanced magnetic behavior as compared to pure BFO thin films, due to the canting of antiferromagnetically ordered spins.
DD̄ production and their interactions

S and P wave DD̄ scatterings are studied in a meson exchange model. When exploring their production in the e+e− annihilation process, we have considered the rescattering effect in a nonrelativistic method. We find that this effect may result in an anomalous line shape of the cross section provided that the final state interaction is unrealistically strong. However, it is difficult to understand the anomalous line shape observed by the BES collaboration with this mechanism. From the normal line shape for the BB̄ case, we set a constraint for the model parameters and further get an upper limit for the S wave binding solutions.
Habit or lack of education? Hypohydration is present in elite senior judo athletes even during a weight-stable training camp

It has been well-documented that high-level judo athletes presented a high level of hypohydration during weight-cutting and competition periods. However, there is a lack of studies investigating the hydration status of high-level judo athletes during a weight-stable training period. Therefore, this study aimed to investigate elite judo athletes’ hydration status, body mass change, and fluid intake during a weight-stable training camp. Twenty-seven judo athletes (women n = 8, men n = 19, body weight = 79.6 ± 20.9 kg) from the senior national judo team voluntarily participated in this study. Data were collected in the morning after waking up and before and after the morning and evening training sessions. On the second day, the measurements were taken again in the morning after waking up. Urine-specific gravity (USG) was classified as hydrated (USG < 1.020) and hypohydrated (USG ≥ 1.020). The athletes’ USG values measured on two consecutive mornings increased (1.025 ± 0.007 to 1.029 ± 0.006) during 24 h, in which athletes performed judo training in the morning and evening. Moreover, sex and weight category did not affect the changes in USG values (p > .05). Most of the elite judo athletes presented hypohydration (92.6%). The relationship between the fluid intake of the athletes and the changes in USG and body weight values during 24 h was not significant (p > .05). The current study’s findings revealed that high-level judo athletes present a high level of hypohydration even during a weight-stable training camp. Furthermore, the training sessions during the experiment period (24 h) worsened the hydration status of the senior athletes in all weight categories for both women and men.
Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau

ABSTRACT Water quality in alpine rivers on the Tibetan Plateau is a key indicator for eco-environment security in China, which, however, is difficult to be monitored over the plateau. In this study, several regression methods and physicals models based on hyperspectral satellite data and field observations are proposed to monitor critical water quality parameters, including water turbidity (WT), total nitrogen (TN), total phosphorus (TP), and total organic carbon (TOC) in alpine rivers. Three remote sensing and field joint observation experiments were firstly carried out in these rivers in different seasons. Then, novel statistical and semi-analytical models were built to calculate the water quality parameters in these alpine rivers using hyperspectral remote sensing data. An integrated air-ground database containing long-term water quality parameters of alpine rivers was further generated to capture the spatial heterogeneity of the water environment of these rivers by using the novel models. The results indicate that WT, TP, TN, and TOC concentrations showed clear interannual cyclical variations and seasonal variations, which reflect that the water environment has a strong seasonality and are mainly controlled by climate change in the alpine plateau.
What do we know about Music Interventions for Fibromyalgia?

Fibromyalgia (FM) is a complex chronic disease, characterized by a widespread chronic pain condition in pressure points located at specific muscle and tendon sites and frequently associated with a variety of dysfunctions such as persistent fatigue, sleep disorders, different types of headache, anxiety and mood disorders. To address clinical symptoms, various treatments have been proposed: pharmacological and non-pharmacological intervention based on an individualized treatment program. As for non-pharmacological intervention it is possible to find many researches evaluating music therapy or music interventions on FM patients. Therefore, the aim of this review was to observe the findings of the available music therapy interventions in FM and to portrait a state-of-the-art on the subject. To identify suitable publications, an online search of PubMed database was conducted with the following keywords: “Music therapy”, “Music”, “Music intervention” and “Fibromyalgia”. We therefore selected only the experimental studies containing music therapy for FM patients. Amongst the twelve analyzed studies the majority of them have successfully applied music therapy, showing a positive improvement of quality of life and pain reduction. Moreover, as far as instruments uniformity between the studies is concerned, measurement of pain is fairly uniform; on the contrary, we detect heterogeneity concerning other measures. Furthermore, future studies, including in the intervention protocol a music preference questionnaire, are needed to personalize the participants experience and increase adherence to the intervention. For future research, we highlight the relevance of a defined music therapy protocol, also in the form of passive listening, possibly in agreement with the World Federation of Music Therapy guidelines on music therapy interventions.
Simple Yet Effective Pseudo Relevance Feedback with Rocchio’s Technique and Text Classification

With the continuous growth of the Internet and the availability of large-scale collections, assisting users in locating the information they need becomes a necessity. Generally, an information retrieval system will process an input query and provide a list of ranked results. However, this process could be challenging due to the “vocabulary mismatch” issue between input queries and passages. A well-known technique to address this issue is called “query expansion”, which reformulates the given query by selecting and adding more relevant terms. Relevance feedback, as a form of query expansion, collects users’ opinions on candidate passages and expands query terms from relevant ones. Pseudo relevance feed-back assumes that the top documents in initial retrieval are relevant and rebuilds queries without any user interactions. In this thesis, we will discuss two implementations of pseudo relevance feedback: decades-old Rocchio’s Technique and more recent text classification. As the reader might notice, both techniques are not “novel” anymore, e.g., the emergence of Rocchio can even be dated back to the 1960s. They are both proposed and studied before the neural age, where texts are still mostly stored as bag-of-words representations. Today, transformers have been shown to advance information retrieval, and searching with transformer-based dense representations outperforms traditional bag-of-words searching on many challenging and complex ranking tasks. This motivates us to ask
Region-aware neural graph collaborative filtering for personalized recommendation

ABSTRACT Personalized recommender systems have been widely deployed in various scenarios to enhance user experience in response to the challenge of information explosion. Especially, personalized recommendation models based on graph structure have advanced greatly in predicting user preferences. However, geographical region entities that reflect the geographical context of the items is not being utilized in previous works, leaving room for the improvement of personalized recommendation. This study proposes a region-aware neural graph collaborative filtering (RA-NGCF) model, which introduces the geographical regions for improving the prediction of user preference. The approach first characterizes the relationships between items and users with a user-item-region graph. And, a neural network model for the region-aware graph is derived to capture the higher-order interaction among users, items, and regions. Finally, the model fuses region and item vectors to infer user preferences. Experiments on real-world dataset results show that introducing region entities improves the accuracy of personalized recommendations. This study provides a new approach for optimizing personalized recommendation as well as a methodological reference for facilitating geographical regions for optimizing spatial applications.
Implementação de um ponto de acesso para redes 802.11b baseado no OpenBSD

A segurança de redes locais sem fio representa um novo desafio para segurança da informação. As falhas encontradas no WEP, o protocolo de segurança utilizado por redes 802.11b, mobilizaram a comunidade acadêmica e a indústria na procura de soluções de segurança. Este artigo descreve o desenvolvimento e implementação de um ponto de acesso baseado no sistema operacional OpenBSD em conjunto com diversos outros softwares de código aberto, assim como na construção de uma infraestrutura que suporte a implementação segura de uma rede local baseada no padrão 802.11b.
Applications of Polymers for Drug Delivery, Cancer Therapy and Antibacterial

The mortality rate of cancer is gradually increasing every year. The application of polymers in biomedicine is one of the key research directions today. A number of researchers have found that polymers have great potential in chemotherapy, yet there is a research gap regarding the toxicity of the drugs to patients. Therefore, this research will introduce the application of a diverse of different polymer materials in biomedicine. Specifically, this research will mainly demonstrate the application of functional polymer materials in the following aspects, including drug delivery, anti-cancer, and antibacterial. On this basis, this study will also look forward to some development trends of polymer materials in the future application of biomedicine. This research suggestion is to find a way to combine the good biodegradability of thermos responsive polymers with the manipulability of magneto responsive carriers to achieve more desirable polymer applications.
Proposal for Offshore Wind Farm with Triangle-Coupled Movable Parallelogram Buoyancy Structure for theHigh Seas

: We are responsible for providing energy and food resources for our next generation. After more than 20 years of research, the author has confirmed that the VAWT with flip-up mechanism can maintain rotation without the brake, even in strong winds. Experiments have shown that the triangularly coupled movable parallelogram buoyancy structure makes it easy to maintain the verticality of the wind turbine tower even under large waves. Furthermore, as a result of studying the connection between the HAWT (horizontal axis wind turbine) and the movable parallelogram buoyancy structure of the triangular connection, the feasibility was confirmed. The only way for all people in the world to secure energy and food fairly is to look for the remaining areas such as the high seas. The author would like to propose the use of the high seas to combat global hunger, which is likely to be a global problem in the future.
Instability and clumping in SN 1987A

Two-dimensional hydrodynamic calculations of Rayleigh-Taylor instabilities in the ejecta of SN 1987A are described. These calculations covering the first few hours of the evolution were performed on a grid of 1000 2 , which provides significantly better resolution than obtained in previous calculations. As a result of the improved resolution, two new regions of instability were discovered. In addition, the structure of the Rayleigh-Taylor fingers became much more complex. The numerical experiment was found to be consistent with a linear stability analysis
Evaluating Lexical Complexity From EGP to ESP Textbooks

ESP classes are usually designed for college students after they finish EGP learning. Accordingly, ESP textbooks are used after they use the EGP ones. Logically, ESP textbooks should be lexically more sophisticated than EGP ones, because linguistic contents are also important concerns for ESP teaching, and ESP classes should also promote students’ language development in addition to their professional advancement. This research aims to compare lexical complexity between EGP and ESP textbooks used among college students. With lexical sophistication as an index for lexical complexity, this study found some ESP textbooks were lexically easier than the EGP ones in this study, which contrasts with input hypothesis. This implicates that ESP textbook writers should consider the contents of EGP textbooks when writing textbooks.
Imposing system-observer symmetry on the von Neumann description of measurement

By imposing system-observer symmetry on the von Neumann description of measurement, it is shown that the quantum measurement problem is structurally equivalent to a familiar reverse-engineering problem: that of describing the behavior of an arbitrary physical device as algorithm instantiation. It is suggested that this problem can at best be given a relational solution.
The Developmental Trajectory of Motor Competence of Children That Lived the COVID-19 Confinement Period: A Four-Year Follow-Up Study in Portuguese Children

Children’s motor competence (MC) was negatively affected by the COVID-19 pandemic; however, possible chronic effects have not been studied. Therefore, the aim of this study was to examine the possible impact of the forced lack of physical activity (PA) during the COVID-19 lockdown on children’s MC two years later. The motor competence of sixty-seven healthy children (7.4–12.2 years old) was assessed using the Motor Competence Assessment (MCA). All participants completed the MCA tests at two different moments (before and after the COVID-19 lockdown), four years apart. The mean values after the COVID-19 lockdown for all participants on the subscales and on the Total MCA are lower, but no significant changes were found when controlling for gender and age (p > 0.05 in all analyses). However, a significant decrease was found in the Locomotor subscale in boys (p = 0.003). After dividing the participants into three age groups, the youngest also suffered a decrease in the Locomotor subscale (p < 0.001) and their Total MCA (p = 0.04). In addition, those participants who had a higher MC at baseline decreased their scores for the Locomotor (p < 0.001) and Manipulative (p < 0.001) subscales, and for the Total MCA (p < 0.001). In conclusion, the younger children and the more motor proficient did not fully recover from the negative effects of the pandemic lockdown after two years.
Antecedents of E-Marketing of Agriculture Products in This Digital Era: An Empirical Study

Agriculture is the backbone of the Indian economy. The majority of the citizens of this country are dependent upon the agricultural supply chain for the livelihood. This study shows the role of the workforce in this digital era for the e-marketing of agriculture products. E-marketing platforms (i.e., search engine optimization, affiliate marketing, social media marketing, and e-mail marketing) help digital marketers to track and analyze the dynamic and complex buying behavior of consumers. Structural equation modelling is used to test the framework for the e-marketing of agriculture products. The developed model can enhance the capability of workforce in this digital era for developing an effective e-marketing strategy for agriculture products.