Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterizing variations of dissolved organic matter (DOM) properties in Nansi Lake: an important reservoir along the eastern route of China’s South-to-North Water Diversion Project

Variations in dissolved organic matter (DOM) quality has far-reaching implications that affect, e.g., aquatic productivity, food web structures, trace element and pollutant transport. In this study, a total of 186 water samples were collected at 62 sites (three points in time within one year) in Nansi Lake. UV-Vis spectra, Synchronous fluorescence (SF) spectra, the excitation-emission matrix and parallel factor analysis (EEM-PARAFAC) were applied to indicate the source and quality of DOM. Water transferring of the eastern route of China’s South-to-North Water Diversion Project had a great influence on the water level of Nansi Lake. Results of SF spectra, EEM-PARAFAC and principal component analysis (PCA) suggested that protein-like substances played a more important role in DOM properties in April and July than October. This result is related to a high fluorescence intensity occurred in April (Fmax=0.72±0.03 in the upper lake and 1.84±0.13 in the lower lake) and July (Fmax=1.10±0.05 in the upper lake and 1.49±0.04 in the lower lake), which might be caused by water transferring from other lakes to Nansi Lake, death and decomposition of submerged plants. At the same time, relatively good correlations were found between humic-like substances, DOC and a254 in April, July and October, which indicated the important contribution of humic-like substances to Nansi Lake. With the completion of the water diversion, the ratio of the fluorescence intensity of component to the total fluorescence intensity (%Fmax) suggested that the proportion of humic-like substances started to increase. And when it came to October, humic-like substances become the main substance in DOM collected from Nansi Lake (%Fmax=66.56%±0.58% in the upper lake and 61.98%±0.99% in the lower lake). Moreover, among the two areas in Nansi Lake, the upper lake always had a higher degree of humification (HIX=2.23±0.06, 2.38±0.11 and 3.10±0.05 in April, July and October, respectively) than the lower lake (HIX=1.06±0.05, 1.68±0.05 and 2.62±0.08 in April, July and October, respectively), which implied extraneous contaminants might have a more important impact on DOM properties in the upper lake.
Avaliação da Estabilidade de Tensão Via ACO

Resumo— Este trabalho apresenta uma técnica de otimização para avaliação de um Sistema Elétrico de Potência (SEP) utilizando conjuntamente um índice de estabilidade de tensão denominado Fast Voltage Stability Index (FVSI) e a metaheurística de otimização por colônia de formigas (ACO). A metaheurística colônia de formigas é empregada com a finalidade de obter as barras críticas de um SEP, reduzindo chamadas de cálculo do fluxo de carga. O ACO toma decisões de como classificar as barras através da variação do índice FVSI das linhas do sistema. É proposta a construção de uma alternativa rápida e eficaz para avaliação da estabilidade de tensão, onde operadores dos SEPs poderão utilizar a ferramenta de forma online.
Authentic Restaurants and Food Tourism: Food Tourists Versus General Tourists

The current study assessed the influence of restaurant authenticity on tourists and whether this influence differs between general and food tourists. Responses from 575 tourists were collected from six restaurants. A Mehrabian–Russell-based model was tested using SmartPLS 3.0. Findings showed that restaurant authenticity directly positively influenced tourists' satisfaction and indirectly positively influenced place attachment and restaurant loyalty. Yet, a multigroup analysis found no significant differences in restaurant authenticity's influence on general and food tourists. There are both theoretical and practical implications from the current study. Regarding theory, findings from the conceptual model imply that restaurant authenticity plays an important role in indirectly forging consumers' restaurant loyalty and place attachment. From a practical standpoint, since the multigroup analysis found no significant differences, destinations may want to consider developing marketing campaigns that appeal to both food tourists and general tourists.
Individual Differences in Cue Weighting in Sentence Comprehension: An Evaluation Using Approximate Bayesian Computation

Abstract Cue-based retrieval theories of sentence processing assume that syntactic dependencies are resolved through a content-addressable search process. An important recent claim is that in certain dependency types, the retrieval cues are weighted such that one cue dominates. This cue-weighting proposal aims to explain the observed average behavior, but here we show that there is systematic individual-level variation in cue weighting. Using the Lewis and Vasishth cue-based retrieval model, we estimated individual-level parameters for reading speed and cue weighting using 13 published datasets; hierarchical approximate Bayesian computation (ABC) was used to estimate the parameters. The modeling reveals a nuanced picture of cue weighting: we find support for the idea that some participants weight cues differentially, but not all participants do. Only fast readers tend to have the predicted higher weighting for structural cues, suggesting that reading proficiency (approximated here by reading speed) might be associated with cue weighting. A broader achievement of the work is to demonstrate how individual differences can be investigated in computational models of sentence processing without compromising the complexity of the model.
ACCURACY OF ALLEN SCORE IN PREDICTING STROKE TYPE

Background: Stroke is an emergency condition that can cause a decrease in nerve function that is affected by injuries to the central nervous system. The initial examination is needed by nurses to find out the type of stroke that can determine the right treatment and quickly. Determination of the type of stroke is done by using a CT scan tool that has limited facilities in some hospitals, so we need a tool in the form of a stroke scoring that can be used. Aim: This study aims to determine the accuracy of Allen's score in predicting the type of stroke in patients. Methods: This study uses an observational analytic method with a cross-sectional design. The sample selection uses purposive sampling with the number of respondents as many as 100 stroke patients. Observations were made using the Allen score. Results: The results showed 100 patients. Demographic characteristics of patients who have the most strokes are men, the age group that has the most strokes is 54-64 years, working privately. The sensitivity, specificity, NPP, NPN, and accuracy of Allen scores were 98.6%, 100%, 100%, 96%, and 99.0% in predicting the type of ischemic stroke. Whereas in predicting the type of hemorrhagic stroke, sensitivity, specificity, NPP, NPN, and accuracy are 83.3%, 92.6%, 71.4%, 96.2%, and 91%. Conclusion: Determining the type of stroke quickly and precisely, help is needed by using stroke scoring that can be done by nurses as a basis of providing collaborative care in patient management.
‏An Enhanced Approach to Improve the Security and Performance for Deduplication

Cloud service providers providing users with efficient and effective storage and transmission of data. To reduce storage costs and save bandwidth, cloud service providers are attracted to use data de-duplication feature. Cloud users are interested in using the cloud safely and privately to protect the data they share on the cloud. Therefore, they encrypt the data before uploading it to the cloud. Since the intent of encryption conflicts with the de-duplication function, the data deduplication feature becomes a hard problem. Existing de-duplication methods are ineffective in terms of both security and efficiency. They are either vulnerable to brute force attacks that enable the attacker to retrieve files, or they are computationally expensive. That is what drives us to suggest a method for removing duplicate data that is both performance and security effective. We'll start with a description of the implementations and functionality of de-duplication strategies, then move on to the literature that proposes various approaches to de-duplication and the security and efficiency problems that existing approaches face. Via the use of the AES-CBC algorithm and hashing functions, we have proposed an enhancement to improves the performance and protection of data de-duplication for users. Without the involvement of a third party, users' keys are created in a consistent and safe manner. We prove the efficacy of the recommended solution by putting it into practice and comparison with the existing techniques.
Bioenergetic and ethological features of the first-calf heifers of different genotypes

The aim of this work was to study bioenergetic and ethological indicators in crossbred first-calf heifers compared to purebred first-calf heifers. The research was conducted on the first-calf heifers of Ukrainian Black-Pied dairy breed and first-generation crossbreeds obtained as a result of crossing with Brown Swiss breed, as well as, on the first-calf heifers of Ukrainian Red-Pied dairy breed and first-generation crossbreeds obtained as a result of crossing Ukrainian Red-Pied dairy with Montbéliarde breed. The purebred Black-and Red-Pied first-calf heifers prevailed over crossbreed first-calf heifers on the indicator of milk yield for 305 days of lactation by 106.45 and 218.36 kg, respectively. Accordingly, the indicators of average daily milk yield were also higher by 0.35 and 0.72 kg and the indicators of average daily milk yield adjusted by 4 % fat content per 0.15 and 0.16 kg. At the same time, the indicator of average fat content in milk prevailed in crossbreeds of Black-Pied and Brown Swiss breed by 0.08 % compared to purebred Black-Pied breeds, and in Red-Pied crossbreeds with Montbéliarde breed by 0.16 % compared to purebred Red-Pied breeds. The purebred Black-Pied first-calf heifers had an advantage by 2.04 MJ compared to crossbreeds, while the Red-Pied first-calf heifers had a slight advantage by 0.06 MJ compared to crossbreed first-calf heifers on the indicator of daily cost of exchange energy (EE). The purebred Blackand Red-Pied first-calf heifers had higher cost of exchange energy allocated with milk compared to crossbreed first-calf heifers by 0.42 and 0.82 MJ. They also had higher cost of exchange energy rates for heat products by 0.79 and 0.25 MJ. According to the energy index indicator, purebred Black and Red-Pied first-calf heifers prevailed over crossbreeds first-calf heifers by 0.16 and 0.07 %, respectively. The same trend was observed in relation to the productive index indicator. The purebred Black-and Red-Pied first-calf heifers had a slight advantage by 0.001 and 0.002 kg adjusted by 4 % of milk fat content per 1 MJ. According to the indicators of daily behavioral reactions, no special differences between a purebred and crossbreed were found.
Simultaneous Exfoliation and Modification of Graphitic Carbon Nitride Nanosheets

This study demonstrates the simultaneous exfoliation and modification of graphitic carbon nitride (g‐C3N4) via reductive alkylation. Our results reveal that the method is feasible and highly efficient in producing 2D g‐C3N4 nanosheets which greatly overcome the drawbacks of bulk g‐C3N4 photocatalyst. The reduced band gap caused by the covalent functionalization of alkyl chains on g‐C3N4 lattice improves the photoresponse and the visible‐light harvesting ability, indicating more charge carriers will generate under visible‐light irradiation. In addition, the significantly enlarged surface area and the nanosheet structural benefits are favorable for the separation of photogenerated charge carriers. The photocatalytic activity of AGCNNs under visible‐light irradiation is highly enhanced because of the synergistic effects of these favorable factors. The RhB photodegradation rate and the photocatalytic H2 evolution rate of AGCNNs are 3.9 and 1.9 times as fast as that of g‐C3N4, respectively. The photocatalytic activity of AGCNNs is further improved when combined with a minority of graphene sheets which are employed as electron acceptors promoting the separation of photogenerated charge carriers. The RhB photodegradation rate and the photocatalytic H2 evolution rate of AGCNNs are further improved to 9.1 and 3.3 times as fast as that of g‐C3N4, respectively.
The Effect of Silica Shell Thickness on Magnetic and Proton Relaxometric Properties: Fe3O4@mSiO2 Nanoparticles

Here, we report the effect of silica shell thickness on proton relaxivities (<inline-formula> <tex-math notation="LaTeX">$r_{2}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$r_{1}$ </tex-math></inline-formula>) and magnetic properties. Starting from hydrophobic 7 nm of Fe<sub>3</sub>O<sub>4</sub>, we have coated Fe<sub>3</sub>O<sub>4</sub> with cetyltrimethylammonium bromide (CTAB) for phase transformation from hydrophobic to hydrophilic. Core-shell structure Fe<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub> with different silica shell thickness have been obtained. The obtained Fe<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub> have been characterized by TEM, Fourier Transform Infrared (FTIR), Superconducting Quantum Interference Device (SQUID), and the proton relaxivities of the nanoparticles (NPs) have been determined. The presence of silica did alter the relaxivity with slightly increased the <inline-formula> <tex-math notation="LaTeX">$r_{2}$ </tex-math></inline-formula>, and dramatically decreased the <inline-formula> <tex-math notation="LaTeX">$r_{1}$ </tex-math></inline-formula> of Fe<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub>. We find that the <inline-formula> <tex-math notation="LaTeX">$r_{2}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$r_{1}$ </tex-math></inline-formula> relaxivity decreased with the increase of silica shell thickness. Moreover, the high <inline-formula> <tex-math notation="LaTeX">$r_{2}/r_{1}$ </tex-math></inline-formula> ratio shows that Fe<sub>3</sub>O<sub>4</sub>@mSiO<sub>2</sub> may serve as <inline-formula> <tex-math notation="LaTeX">$T_{2}$ </tex-math></inline-formula> contrast agents in magnetic resonance imaging (MRI).
Wireless Shaded-Pole Induction Motor With Half-Bridge Inverter and Dual-Frequency Resonant Network

This article presented a single-phase shaded-pole induction motor (SPIM) system, which aims to work in an isolated environment. Compared with the previous wireless SPIM, this system employs less controlled switches and can work at full-resonant condition, while retaining the merit of secondary controllerless. The key is to employ a half-bridge inverter and a proper dual-frequency resonant network; thus, only two controlled switches are adopted at the motor side. Since the SPIM is purposely designed with a dual-stator winding, the system robustness and efficiency can be significantly improved. In this article, simulation has been conducted to verify the system's feasibility and self-drive ability. Meanwhile, a 30-W prototype has been built for the experimental verification, and the results show that this motor can achieve flexible speed control with the transfer distance of 20 mm and the transmission efficiency of 77%.
Abordaje laparoscópico sistemático de la coledocolitiasis

Background: The prevalence of common bile duct stones associated with cholelithiasis increases with age and is about 15 % in the 8th decade of life but its management is still controversial. Some surgeons prefer the single-stage approach with laparoscopy while others suggest the two-stage management with preoperative endoscopic retrograde cholangiopancreatography (ERCP) followed by laparoscopiccholecystectomy.Objective: The aim of the present study was to evaluate the efficacy of feasibility of single-stage laparoscopic surgery in patients with cholelithiasis and choledocholithiasis.Material and methods: We conducted a retrospective study with prospectively collected data between July 2008 and July 2018.Results: Of 2447 laparoscopic cholecystectomies performed during the study period, 416 presented common bile duct stones. The global success of the transcystic approach to clear common bile duct stones was 81.2%, 70.4% in the cases with preoperative diagnosis of choledocholithiasis and 92.9% for other diagnoses. The rate of complications was 4% without deaths or bile duct injuries.Conclusion: Single-stage laparoscopic surgery is an efficient and safe approach based on the high global success of transcystic exploration. The preoperative diagnosis of choledocholithiasis reduces the efficacy of the procedure due to greater indication of choledocotomy, with complications and longer length of hospital stay
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide

Mental and physical health are strongly linked in a bidirectional relationship. Due to the stigma, ignorance, prejudice, fear, and many other reasons, there exists a large universal treatment gap for people with mental disorders. This could motivate those at-risk individuals to find their way into social networks, asking for information or emotional support. Language could provide a natural eyepiece for the study and detection of such at-risk individuals through their writings on social media platforms. In this paper, we consider the problem of detecting at-risk users with clear signs of depression, anorexia, self-harm, and suicidal thoughts. We introduce NCNL, a novel deep learning ensemble architecture that makes use of multiple noisy base learners in Negative Correlation Learning (NCL) configuration for text classification. NCNL is designed to be, backbone-independent, and we examine it with modern Transformer-based architectures. We evaluate our models on six different tasks for at-risk user detection and classification. Our models achieve significant improvements over existing state-of-the-art results reported for five out of the six tasks. Extensive experiments show how NCNL improves diversity over the classical conventional ensemble and the effect of using noisy base learners.
Smart Identification System on Internet of Things for User Authentication

Regarding that, clients agreed on the value of reliable Internet access regardless of location, mode, or time. Individuals can now access a few top-tier administrations through the Internet of Things (IoT), which is a heterogeneous network characterized by machine-to-machine communication. Regardless of how the devices are used to set up the communications, the clients should be considered the true producers of data and purchasers of the yield data. As a result, clients should be viewed as a critical component of IoT; as a result, client distinguishing evidence, verification, and approval are required. In any case, the client Index measure is too perplexing, given the clients' apprehension about sharing their confidential and private information. However, some of their devices should be able to access this personal information. Appropriately, an unbiased method for understanding clients and coping with their personalities is important. Furthermore, the customer plays a minor but significant role in laying the groundwork for the character distinguishing proof and ensuring the consistency of open services. The main goal of this paper is to create a new identity management system (IdMS) for the Internet of Things. The main commitments of this paper are the suggestion of a gadget acknowledgment calculation for client identifiable evidence, the suggestion of a different identifier configuration, and a hypothetical IdMS framework.
Rural energy needs of smallholder women farmers for improved farmproductivity and rural business enterprises in abia state, Nigeria

The study investigated the energy needed by rural women farmers to improve their livelihood and agricultural production in Abia state. The specific objectives were to identify the energy needs, identify energy needs rural business enterprises; and to identify the energy sources available to the respondents in the study area; identify the effects of access to energy on women farmers. A purposive sampling technique was adopted in selecting 150 respondents. Data were collected by use of structured questionnaire and interview schedule. Simple descriptive statistics such as mean, percentage and frequency distribution and a 4-scale likert type scale were used to analyse the data. The result revealed that women in the study area need energy for many activities, both on farm and off farm and some of the areas include cooking, processing, storing, telecommunication, infrastructure and transportation and others. Increased productivity, high income generation, reduced stress, increased living conditions are some of the effects of access to energy have on rural women farmers. The women in the area have few energy sources on which they depend on to carry out their various activities and these sources include machines, electricity and human power. Based on the findings, recommendations were made on women being seen as great movers of agricultural production and should be allowed and assisted to have better access to energy sources just like their male counterparts.
Chemically-Induced Colitis Models in Animal

Ulcerative colitis is a chronic inflammation that can affect the distal part of the colon, submucosa and rectal mucosa, and can affect the entire colon even to the terminal ileum. There are several factors that can cause this disease, such as genetics, environment, intestinal microbiota and the presence of enteric infectious agents. Chemical induction in experimental animals for research on gastrointestinal inflammation has been frequently used due to the similarity of the anatomical and physiological structures of experimental animals with the human digestive tract. This review focuses on recent understanding of the chemicals that used as induction agents in animals
Geometric and Electronic Structures of Two-Dimensional SiC3 Compound

Although graphene is an unconventional semimetallic nanosheet, the graphene-like binary sheets, such as BN and SiC with 1:1 stoichiometry, usually discard the semimetallicity. Here, we report the geometric structures and electronic properties of the two-dimensional SiC3 sheet by the particle-swarm optimization method and density functional calculations. The unbiased global search reveals three lowest-energy structures for SiC3 ones, all of which are Si-graphene hybrid honeycomb lattices with robust dynamical stabilities. Depending on the ordered arrangement of Si atoms, the SiC3 sheets could be direct-band-gap semiconductors or zero-band-gap semimetals. More interestingly, the semiconducting SiC3 sheet has a strong adsorption ability in the visible-light region, and the semimetallic one even possesses a distorted Dirac cone, which induces an anisotropic Fermi velocity. These rich electronic properties of SiC3 nanosheets endow the system with promising applications in nanoelectronics and photovoltaics.