Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Relationship Prediction Integrating Personality Traits and Asymmetric Interactions

Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction, which is also the main research issue of this study. In the study of personality traits, some scholars have proved that personality can be used to predict users’ behavior in social networks. Based on these studies, this study aims to improve the accuracy of link prediction in directed social networks. Considering the integration of personality link preference and asymmetric interaction into the link prediction model of social networks, a four-dimensional link prediction model is proposed. Through comparative experiments, it is proved that the four-dimensional social relationship prediction model proposed in this study is more accurate than the model only based on similarity. At the same time, it is also verified that the matching degree of personality link preference and asymmetric interaction intensity in the model can help improve the accuracy of link prediction.
A High-Throughput Computational Study on the Stability of Ni- and Ti-Doped Zr2Fe Alloys

Zr2Fe alloys have been widely used in fusion energy and hydrogen energy for hydrogen storage. However, disproportionation reactions occur easily in Zr-based alloys at medium and high temperatures, which greatly reduces the storage capacity of the alloys, and is not conducive to repeated cycle applications. The doping of Zr-based alloys with appropriate transition metal elements has been found to significantly improve their H storage properties and prevent hydrogen disproportionation. A convenient approach is required to efficiently predict the desirable doped structures that are physically stable with optimal properties. In this paper, based on the MatCloud High-Throughput Material Integrated Computing Platform (MatCloud), an automated process algorithm was established to solve the disproportionation reaction of Zr2Fe. Rather than testing the doping materials one by one, such high-throughput material screening is effective in reducing the computational time. The structural stability of modified Zr2Fe alloys, with different doping elements and doping concentrations, is systematically studied. The results indicate that the maximum doping concentration of Ni-doped Zr2Fe is 33 at%, and beyond this doping concentration, Zr2(Fe1−xNix) phases become unstable. While Ti doping Zr2Fe will form a new phase, the overall hydrogen absorption capacity may have been affected by the decrease in the phase content of Zr2Fe in the main phase. The present study can shed valuable light on the design of high-performance Zr-based alloys for fusion energy and hydrogen storage.
Traceability of Nitrogen and Oxygen Isotopes
in Nitrates with the SIAR Model: Case Study
on the Wangbeng Interval of the Huaihe
River Basin

The identification of non-point nitrate sources is important for the study and management of non-point pollution sources in agricultural areas. In this study, the nitrogen and oxygen dual-isotope technique and the Stable Isotope Analysis in R (SIAR) model were used to qualitatively and quantitatively analyze nitrate sources in the Huaihe River basin in China. The results showed that the inorganic nitrogen in the water was mainly in the form of nitrate nitrogen with a mean concentration of 1.32 mg/L. In the middle section, the major pollution sources were manure and domestic sewage (43.46%) and soil (30.23%), followed by chemical fertilizer (14.56%), dead branches and fallen leaves (8.18%), and atmospheric deposition (3.55%). Chemical fertilizers due to farmland cultivation were a bigger pollution source in the upper reaches (28.73%) than in the middle reaches (5.76%) and downstream (4.37%). Chemical fertilizers (74.86%) were the main pollution source on the south bank, while soil (34.43%), manure and domestic sewage (33.24%), and chemical fertilizers (29.31%) were the main pollution sources on the north bank. The main sources of NO3were soil, chemical fertilizer, excrement and domestic sewage. Atmospheric deposition and dead leaves were the secondary sources of nitrate pollution. Major pollution sources comprised a large proportion of the total pollution (89.67%) compared to secondary pollution sources (10.33%). These findings highlight the significant impacts of manure, domestic sewage, and agricultural fertilizer, and they can be used to support nitrogen management practices in agricultural areas.
Development of neural discrimination of pitch across speech and music in the first year of life, a mismatch response study

ABSTRACT This study focuses on the development of neural discrimination of pitch changes in speech and music by English-language adults and 4-, 8- and 12-month-old infants. Speech stimuli were Mandarin Chinese rising and dipping lexical tones and the musical stimuli were three-note melodies with pitch levels based on those of the lexical tones. Mismatch responses were elicited using a non-attentive oddball paradigm. Adults showed mismatch negativity (MMN) responses in both the lexical tone and music conditions. For infants, for the lexical tones, a positive-mismatch response (p-MMR) was observed at 4, 8, and 12 months, whereas for the musical tones, a p-MMR was found for the 4-month-olds, an MMN for the 12-month-olds, and no mismatch response, either positive or negative, for the 8-month-olds. No evidence of cross-domain correlation of the mismatch responses was found. These results suggest domain-specific development of mismatch responses to pitch change in the first year of life.
A comparative evaluation of the peri-implant strain transmitted through splinted and non-splinted cement retained prostheses on implants of two different lengths

Aim - The aim of this study was to evaluate and compare the peri-implant strain transmitted through splinted and non-splinted prostheses cemented on implants of two different lengths (8mm and 11.5mm) when subjected to an axial load. Method – The study was conducted on two polypropylene models on which implants of 8mm and 11.5mm length were placed in the molar region. Splinted and non-splinted prostheses were cemented to the implant abutments placed on the implants. Metal jig simulating the anatomy of the opposing tooth was casted and adapted to the prostheses. An axial load of 400N was applied to the assembly using Universal testing machine. The peri implant strain transmitted through these prostheses was recorded using strain gauges attached to Wheatstone bridge circuit. RESULT – The observations showed that implant length and splinting of the prostheses, both significantly affect the peri implant strain as analysed by one way ANOVA statistical test. [F(3,36) = 1882.81 P<0.05]. Lowest peri implant strain was observed in splinted prosthesis cemented on implant with 11.5mm length followed by non-splinted prosthesis on 11.5mm length implant followed by splinted prosthesis on 8mm length implant followed by non-splinted prosthesis on 8mm length implant.
A 60-Year-Old Swiss Woman Presenting with Migratory Radicular Pain Diagnosed with Lyme Disease by Western Blot

Patient: Female, 60-year-old Final Diagnosis: Lyme disease Symptoms: Migratory radicular pain Medication: — Clinical Procedure: — Specialty: Infectious Diseases Objective: Unusual clinical course Background: Many diagnostic guidelines have been established to support the diagnosis of Lyme disease, but a recent meta-analysis did not find that 2-tier tests were better than individual tests. Here, we present the case of a patient who was diagnosed by immunoblot only, a second-line test that is usually not performed if the first-line test is negative. Case Report: A 60-year-old Swiss woman, without relevant comorbidities, presented to our clinic with 1-week symptoms of migratory radiculitis in the L1, L2, and L5-S1 right dermatomes. Blood analysis and lumbar and brain MRI did not show any significant abnormalities. However, unexpected results were obtained after testing Lyme serologies. They were performed first with LIAISON® test (Diasorin, Italy) then with Borrelia VIRAstripe® immunoblot (Viramed, Germany) and a positive IgM result was only obtained with the latter. Consequently, doxycycline 100 mg 2×/day was initiated and the symptoms completely resolved after 6 weeks of treatment. Ever since, and more than 1 year after the initial presentation, the patient remains symptom-free. Conclusions: As shown, it was possible to diagnose this patient and treat her successfully by testing all the available serologies. Furthermore, we were surprised to find out after a review of the literature that the IgM sensitivity in neuroborreliosis with the LIAISON® test is only 43.9–46% versus 90–100% with VIRAstripe®. Hence, clinicians need to understand the pitfalls of these tests before excluding Lyme disease.
Promising Novel Method of Acetylation Modification for Regulating Fatty Acid Metabolism in Brassica napus L.

Simple Summary The quality of rapeseed (Brassica napus) oil depends mainly on the degree of hydrocarbon chain saturation of fatty acids. In previous studies, seeds of the B. napus near-isogenic lines were used as raw materials by iTRAQ analysis at 20–35 days after pollination, and three differential proteins related to oleic acid metabolisms were found to be related to acetylation modification. Thus, we analyzed lysine acetylation using the same raw materials. The function of the corresponding genes of fatty acid metabolisms-related differential proteins was verified by identifying the overexpression of BnACP363K, BnACP363R, and BnACP363 in Arabidopsis thaliana. The results show that the acetylation modification of BnaACP3 may have a selective effect on oleic acid and slow down the conversion of oleic acid to linoleic acid. This is the first report of oleic acid synthesis regulation by acetylation. Abstract In this study, lysine acetylation analysis was conducted using two Brassica napus near-isogenic lines, HOCR and LOCR, containing high and low oleic acid contents, respectively, to explore this relationship. Proteins showing differences in quantitative information between the B. napus lines were identified in lysine acetylation analysis, and KEGG pathways were analyzed, yielding 45 enriched proteins, most of which are involved in carbon fixation in photosynthetic organisms, photosynthesis, ascorbate and aldarate metabolism, and glycolysis. Potential key genes related to fatty acid metabolisms were determined. To further explore the effect of acetylation modification on fatty acid metabolisms, the acyl-ACP3 related gene BnaACP363K was cloned, and a base mutation at No.63 was changed via overlapping primer PCR method. This study is the first to demonstrate that acetylation modification can regulate oleic acid metabolisms, which provides a promising approach for the study of the molecular mechanism of oleic acid in rapeseed.
Synergistic effect of arbuscular mycorrhizal fungi and poultry manure to significantly increase proximal structure and physiological parameters of Cucurbita maxima and Telfairia occidentalis under soil salinity

This research was carried out to assess the potential impacts of arbuscular mycorrhizal fungi (AMF) complex (Glomus geosporum and Rhizophagus irregularis) synergy with poultry manure (PM) on the survival of Cucurbita maxima and Telfairia occidentalis grown under salt stress conditions. This experiment was set up in a completely randomized design with all treatments replicated thrice for both test plants. Analysis of the saline and garden soils used in this study revealed significant (P ≤ 0.05) variations in their soil physico-chemical parameters. Increase in parameters such as pH (7.75 for saline soil; 6.78 for garden soil), EC (SS 7.80 dS.m.-1; GS 0.32) and Ex Na+ (SS 8.81 cmol.kg-1; GS 0.4181 cmol.kg-1) was observed in the saline soil while there was a decrease in organic carbon, total nitrogen and available phosphorus in saline soil. Proximate analysis of C. maxima and T. occidentalis leaves revealed that fiber, carbohydrate, and caloric value were slightly reduced in saline soil treatments while ash, protein and lipids contents were slightly increased. AMF inoculation and PM application had significant effect on proximate composition of these plant leaves but caloric value which was significantly (P ≤ 0.05) increased in non-saline soil treatments. Physiological parameters such as leaf turgid weight (LTW), leaf relative water content (LRWC), vigor index (VI), and salt tolerance index (STI) were significantly reduced by salinity, while electrolyte leakage (EL) was higher in saline soil treatments than non-saline soil treatments. However, inoculation with AMF in combination with PM amendment significantly increased LTW, LRWC, VI, and STI in both saline and non-saline soil treatments above single treatment with mycorrhizal species and poultry manure. However, EL reduced with mycorrhizal inoculation. The results of this work have shown that AMF and PM can enhance plants ability to tolerate salinity possibly through some morphological and physiological changes which improved water and nutrients uptake.
Factors Influencing Returning Migrants’ Entrepreneurship Intentions for Rural E-Commerce: An Empirical Investigation in China

Many Internet users have provided a favorable atmosphere for rural e-commerce to thrive, and the return of rural inhabitants starting their own companies has had a significant impact on rural economic development. Understanding the influencing elements for returning residents to carry out rural e-commerce operations can provide suggestions for the ongoing development of the economy in rural regions and the lack of talent faced in rural areas, especially in light of the trend of people returning to their hometowns. This work offers a research model based on the push–pull–mooring (PPM) theory to explain the factors that drive returning residents to engage in rural e-commerce entrepreneurship. The empirical results determined using the PLS-SEM method and SmartPLS 3.0 software to analyze the survey data of 151 returning residents revealed that urban employment obstacles, policy support, and infrastructure are positively connected with returning residents carrying out rural e-commerce entrepreneurship. Start-up costs are negatively correlated with rural e-commerce entrepreneurship by returning residents. Policy support plays an intermediary role in the price of starting a business and in the return of rural residents starting a rural e-commerce business. We recommend that the government strengthens policy support for returning entrepreneurs, improves rural e-commerce infrastructure, assists entrepreneurs in lowering their start-up costs, and initiates activities aimed at enhancing entrepreneurial intentions and sustaining entrepreneurial activities, based on the findings of this study.
Contributions of Wetland Plants on Metal Accumulation in Sediment

Wetlands, and especially salt marshes, are well-known sinks of metals, which limit toxic amounts of metals from entering the food chain. This study investigated metal concentrations (Cr, Cu, Fe, Mn, Ni, Pb, Zn) in a highly urbanised estuary, and compared vegetated rhizosediment (Salicornia tegetaria, Spartina maritima, and Zostera capensis) with bare sediment, in a depositional and non-depositional site, in the intertidal zone of the Swartkops Estuary. The samples were collected at two sites along the middle and lower reaches of the estuary and analysed using a Total X-ray Fluorescence (TXRF) spectrometer. It was found that the rhizosediment contained more metals and that metal concentrations in the sediment decreased as follows: S. tegetaria > S. maritima > Z. capensis > bare sediment. Although metal accumulation was similar in bare sediment for the depositional (Site B) and the non-depositional site (Site A), the rhizosediment displayed higher metal accumulation in the depositional site (Site B). However, regardless of site-specific depositional tendencies, rhizosediment displayed higher metal accumulation than bare sediment. These results indicate that vegetated sites and vegetated depositional sites should be the focus of monitoring metals in estuaries around the world.
Image deep learning assisted prediction of mechanical and corrosion behavior for Al-Zn-Mg alloys

The use of metallographic images to predict the mechanical properties of materials and their corrosion behavior is helpful in achieving nondestructive detection and quality control. However, after a long-term attempt, traditional methods cannot solve the problem of prediction accuracy. In this study, we propose a deep learning strategy to predict the mechanical property and corrosion behavior of large-scale extruded aluminum profiles using surface optical microstructure images. The proposed models with remarkable properties were established through experimental dataset collection, dataset preprocessing, deep learning network modification, and key parameter screening. Taking extruded Al-Zn-Mg alloys with different surface microstructures as example materials, 4,800 sets of “metallographic image – hardness (HV) – corrosion potential (Ecorr)” data were experimentally collected to establish the HV and Ecorr models with prediction accuracies of 90% and 82%, respectively. The proposed HV and Ecorr models exhibit great generalization ability with mean average errors of 1.8 HV and 7.0 mV on experimental validation sets, respectively. The proposed model can accurately correlate the metallographic images, mechanical property, and corrosion behavior, which can provide theoretical support for intelligent and nondestructive testing methods to further prevent unexpected material failure.
Donald Trump’s Denial Speeches of the 2020 United States Presidential Election’s Results: A Critical Discourse Analysis Perspective

The primary concern of the present study is to provide a critical discourse analysis of Donald Trump’s denial speeches of the 2020 United States presidential election’s results. Using Van Dijk’s framework of critical discourse analysis, this study investigates the linguistic features in five speeches of Donald Trump delivered after announcing the results of the US presidential election. The data analysis is conducted focusing on the use of 25 discursive devices presented by Van Dijk (2006), which represent the micro-level of text analysis to reveal the ideologies of positive self-representation and negative other-representation which represent the macro-level of text analysis. The findings of the study show that Trump made use of the majority of the discursive devices, with a special emphasis on using the following: lexicalization, evidentiality, example/illustration, number game, polarization, actor description, hyperbole, categorization, victimization, and authority. Furthermore, the analysis at the macro-level shows that Donald Trump used the ideologies of positive self-representation and negative other-representation, but he relied more on using negative other-representation. The findings also show that Trump used these discursive devices to justify his denial of the election results and gain the empathy of American people by showing a positive image of himself and his supporters while portraying others negatively by emphasizing their bad deeds during the election.
DESIGN THINKING AS AN EFFECTIVE TOOL FOR ARCHITECTURAL PEDAGOGY: Challenges and benefits for Ghanaian schools

Abstract Design Thinking is a methodological advent to design, acknowledged in many design schools, and marketing establishments. This design approach although recognized as efficient in several business avenues, is not noticeable in architectural pedagogy in Ghana. This paper employs an exploratory study, aimed at identifying the current concepts used in architectural teaching and learning, as well as challenges encountered by students who refer to the Design Thinking approach. Ghanaian students will also be enlightened about its potential to significantly improve creativity and ingenuity. Considering reviewed literature reveals diminutive application of Design Thinking process in architectural pedagogy, this study recommends further research in the adaptation of the Design Thinking methodology in architectural design. The pragmatic philosophical worldview is what drives my research. This is because it is concerned with applications and solutions to problems. Instead of focusing on methods, researchers emphasize the research problem and use all approaches available to understand the task.
LC–MS/MS Method for Measurement of Thiopurine Nucleotides (TN) in Erythrocytes and Association of TN Concentrations With TPMT Enzyme Activity

Monitoring concentrations of thiopurine metabolites is used clinically to prevent adverse effects in patients on thiopurine drug therapy. We developed a LC–MS/MS method for the quantification of 6-thioguanine (6-TG) and 6-methylmercaptopurine (6-MMP) in red blood cells (RBCs). This method utilizes an automated cell washer for RBC separation from whole blood samples and washing of the separated RBCs. The lower limit of quantification of the method was 0.2 μmol/L for 6-TG (∼50 pmol/8 × 108 RBC) and 4 μmol/L for 6-MMP (∼1,000 pmol/8 × 108 RBC). The total imprecision of the assay was <3.0%. The upper limit of linearity for 6-TG and 6-MMP was 7.5 μmol/L and 150 μmol/L, respectively. The stability of the thiopurine metabolites under pre- and post-analytically relevant conditions was also evaluated. A good agreement was observed between this method and validated LC–MS/MS methods from three laboratories, except for ∼40% low bias for 6-MMP observed in one of the methods. The assessment of the association between 6-TG and 6-MMP concentrations with thiopurine S-methyltransferase (TPMT) phenotype and genotype demonstrated a statistically significant difference in the thiopurine metabolite concentrations between the TPMT groups with normal and intermediate activity of 6-MMP (p < 0.0001), while the difference in 6-TG concentrations was statistically not significant (p = 0.096). Among the samples with normal TPMT activity, higher concentrations of 6-MMP (p = 0.015) were observed in pediatric samples than in the samples of adults. No statistically significant differences were observed in the distributions of 6-TG and 6-MMP concentrations among the evaluated genotypes.
Correlation of microstructural with corrosion behaviour of Ti-6Al-4V specimens developed through selective laser melting technique

Ti-6Al-4 V (Ti64) alloy is majorly preferred for fabricating the parts in biomedical, aerospace and automobile industries. Traditional manufacturing techniques are mostly involved in making these parts. This work is focused on evaluating the as-cast and Selective Laser Melting (SLM) printed Ti64 specimens in terms of microstructure, hardness and corrosion resistance. The microstructure and the hardness of as-cast and SLM printed samples were examined using FESEM with EDS followed by Vickers microhardness test The corrosion resistance offered by both samples at different durations was investigated in an electrochemical workstation followed by the examination of the corroded surface roughness. The results showed that the existence of martensite microstructure in the SLM printed Ti64 sample has paved the way for enhancing the hardness property compared with the as-cast specimen. Furthermore, the corrosion analysis revealed that the formation of strong and compact passive film has been observed on the SLM samples which resist corrosion. This is due to the even distribution of stabilizing elements followed by martensite phase formation with subsequent solidification during the SLM process. The electrochemical impedance spectroscopy (EIS) analysis and surface roughness evaluation also confirm that the SLM samples have a better passive film with higher Rp and lower Ra values, thereby providing greater resistance against corrosion.