Miracle-dz/UniFAR-FTUs huggingface dataset:
Heat kernels and function theory on metric measure spaces

It is worth observing that the Gaussian term exp ( − |x−y| 4t ) does not depend in n, whereas the other term (4πt)−n/2 reflects the dependence of the heat kernel on the underlying space via its dimension. The notion of heat kernel extends to any Riemannian manifold M. In this case, the heat kernel pt (x, y) is the minimal positive fundamental solution to the heat equation ∂u ∂t = ∆u where ∆ is the Laplace-Beltrami operator on M , and it always exists (see [11], [13], [16]). Under certain assumptions about M , the heat kernel can be estimated similarly to (1.1). For example, if M is geodesically complete and
Characterization of extracellular vesicles isolated from different liquid biopsies of uveal melanoma patients

ABSTRACT Purpose: Uveal melanoma (UM) is the most common intraocular malignant tumor in adults. Extracellular vesicles (EVs) have been extensively studied as a biomarker to monitor disease in patients. The study of new biomarkers in melanoma patients could prevent metastasis by earlier diagnosis. In this study, we determined the proteomic profile of EVs isolated from aqueous humor (AH), vitreous humor (VH), and plasma from UM patients in comparison with cancer-free control patients. Methods: AH, VH and plasma were collected from seven patients with UM after enucleation; AH and plasma were collected from seven cancer-free patients with cataract (CAT; control group). EVs were isolated using the membrane-based affinity binding column method. Nanoparticle tracking analysis (NTA) was performed to determine the size and concentration of EVs. EV markers, CD63 and TSG101, were assessed by immunoblotting, and the EV proteome was characterized by mass spectrometry. Results: Mean EV concentration was higher in all analytes of UM patients compared to those in the CAT group. In the UM cohort, the mean concentration of EVs was significantly lower in AH and plasma than in VH. In contrast, the mean size and size distribution of EVs was invariably identical in all analyzed analytes and in both studied groups (UM vs. CAT). Mass spectrometry analyses from the different analytes from UM patients showed the presence of EV markers. Conclusion: EVs isolated from AH, VH, and plasma from patients with UM showed consistent profiles and support the use of blood to monitor UM patients as a noninvasive liquid biopsy.
Segmental switching strategy with zero output pulsation for dynamic EV wireless charging system

In practical dynamic electric vehicle (EV) wireless charging applications, the charging roadway is segmented and the segments are switched on and off along with the passing-by EVs, which often causes output power pulsations. Here, the decoupling characteristics of two general inductively coupled coils are investigated. Based on which, an easy-implement switching strategy to minimise the output power pulsation in the repeatedly occurring segmental switches is proposed. Each segment is to be switched on when a coming EV passes the entry-end decoupling point of that segment, and to be cut-off when the vehicle passes the other decoupling point as it leaves from the other end. Practical issues regarding to the coil dimensions have also been studied to investigate the compatibility of the proposed method. Dynamic charging and segmental switching experiments on a predesigned 2.5 kW dynamic wireless charging prototype were conducted to testify the proposed method. Smooth transition with zero output power pulsation and noticeable improvement on the systematic efficiency over the transition zone were achieved.
Music Therapy in Children with Autism Spectrum Disorder: What and How

Until now, music therapy is still widely used to help children with autism. In this literature study, various music therapy research will be explained and explicitly given to help children with an autism spectrum disorder. This literature study using two academic electronic search engines: Taylor Francis Online dan EBSCOhost Academic Research Database. For this literature study, researcher using five research studies from abroad, and three research studies from Indonesia. Besides, this literature study is expected to help parents with autistic children, children with needs precisely, as well as music therapists, to get information about the types of therapy and to get therapy music choices that fit the goals to be achieved.
Perturbation analysis for parameter estimation in continuous space HMMs

This paper is concerned with parameter identification in continuous space hidden Markov models. We provide a sensitivity analysis on a filtering density with respect to some model parameters to obtain the gradient of the log-likelihood function. The resulting estimator is combined with an efficient variance reduction technique in a stochastic gradient ascent method to identify the parameter. The main ideas consist in using a non-naive Finite Difference approach and an Infinitesimal Perturbation Analysis by defining an augmented Markov chain which allows to express the gradient of the filtering density as an expectation of a functional along this chain. This provides a general methodology that enables us to transform any algorithm that estimates the filtering density, such as interacting particle methods, into an algorithm that estimates its gradient. We propose therefore two algorithms, which are proven to be consistent and whose computational complexity is linear in the number of particles. Numerical experiments show their respective performances in terms of variance, accuracy, and computational complexity.
Fatigue Factor Assessment and Life Prediction of Concrete Based on Bayesian Regularized BP Neural Network

Concrete tensile properties usually govern the fatigue cracking of structural components such as bridge decks under repetitive loading. A fatigue life reliability analysis of commonly used ordinary cement concrete is desirable. As fatigue is affected by many interlinked factors whose effect is nonlinear, a unanimous consensus on the quantitative measurement of these factors has not yet been achieved. Benefiting from its unique self-learning ability and strong generalization capability, the Bayesian regularized backpropagation neural network (BR-BPNN) was proposed to predict concrete behavior in tensile fatigue. A total of 432 effective data points were collected from the literature, and an optimal model was determined with various combinations of network parameters. The average relative impact value (ARIV) was constructed to evaluate the correlation between fatigue life and its influencing parameters (maximum stress level Smax, stress ratio R, static strength f, failure probability P). ARIV results were compared with other factor assessment methods (weight equation and multiple linear regression analyses). Using BR-BPNN, S-N curves were obtained for the combinations of R = 0.1, 0.2, 0.5; f = 5, 6, 7 MPa; P = 5%, 50%, 95%. The tensile fatigue results under different testing conditions were finally compared for compatibility. It was concluded that Smax had the most significant negative effect on fatigue life; and the degree of influence of R, P, and f, which positively correlated with fatigue life, decreased successively. ARIV was confirmed as a feasible way to analyze the importance of parameters and could be recommended for future applications. It was found that the predicted logarithmic fatigue life agreed well with the test results and conventional data fitting curves, indicating the reliability of the BR-BPNN model in predicting concrete tensile fatigue behavior. These probabilistic fatigue curves could provide insights into fatigue test program design and fatigue evaluation. Since the overall correlation coefficient between the prediction and experimental results reached 0.99, the experimental results of plain concrete under flexural tension, axial tension, and splitting tension could be combined in future analyses. Besides utilizing the valuable fatigue test data available in the literature, this work provided evidence of the successful application of BR-BPNN on concrete fatigue prediction. Although a more accurate and comprehensive method was derived in the current study, caution should still be exercised when utilizing this method.
Genomic Divergence Characterization and Quantitative Proteomics Exploration of Type 4 Porcine Astrovirus

Porcine astrovirus (PAstV) has been identified as an important diarrheic pathogen with a broad global distribution. The PAstV is a potential pathogen to human beings and plays a role in public health. Until now, the divergence characteristics and pathogenesis of the PAstV are still not well known. In this study, the PAstV-4 strain PAstV/CH/2022/CM1 was isolated from the diarrheal feces of a piglet in Shanghai, which was identified to be a recombination of PAstV4/JPN (LC201612) and PAstV4/CHN (JX060808). A time tree based on the ORF2 protein of the astrovirus demonstrated that type 2–5 PAstV (PAstV-2 to 5) diverged from type 1 PAstV (PAstV-1) at a point from 1992 to 2000. To better understand the molecular basis of the virus, we sought to explore the host cell response to the PAstV/CH/2022/CM1 infection using proteomics. The results demonstrate that viral infection elicits global protein changes, and that the mitochondria seems to be a primary and an important target in viral infection. Importantly, there was crosstalk between autophagy and apoptosis, in which ATG7 might be the key mediator. In addition, the NOD-like receptor X1 (NLRX1) in the mitochondria was activated and participated in several important antiviral signaling pathways after the PAstV/CH/2022/CM1 infection, which was closely related to mitophagy. The NLRX1 may be a crucial protein for antagonizing a viral infection through autophagy, but this has yet to be validated. In conclusion, the data in this study provides more information for understanding the virus genomic characterization and the potential antiviral targets in a PAstV infection.
Multisource Power Splitting Energy Harvesting Relaying Network in Half-Duplex System over Block Rayleigh Fading Channel: System Performance Analysis

Energy harvesting and information transferring simultaneously by radio frequency (RF) is considered as the novel solution for green-energy wireless communications. From that point of view, the system performance (SP) analysis of multisource power splitting (PS) energy harvesting (EH) relaying network (RN) over block Rayleigh-fading channels is presented and investigated. We investigate the system in both delay-tolerant transmission (DTT), and delay-limited transmission (DLT) modes and devices work in the half-duplex (HD) system. In this model system, the closed-form (CF) expressions for the outage probability (OP), system throughput (ST) in DLT mode and for ergodic capacity (EC) for DTT mode are analyzed and derived, respectively. Furthermore, CF expression for the symbol errors ratio (SER) is demonstrated. Then, the optimal PS factor is investigated. Finally, a Monte Carlo simulation is used for validating the analytical expressions concerning with all system parameters (SP).
Technical Parameters of the Cana-Atchia Lateritic Aggregate for Its Use in Road Engineering in Southern Benin

Aims: To determine the technical parameters sought in road engineering of the lateritic aggregate of Atchia village in the Arrondissement of Cana, Commune of Zogbodomey. Study Design: To valorize the lateritic aggregate of Cana-Atchia in the construction of roads in Benin. Place and Duration of Study: Colas Benin Entreprise Laboratory and Laboratory of Energetic and Applied Mechanic, Polytechnic School of Abomey-Calavi, University of Abomey-Calavi, Abomey-Calavi, between January 2021 and March 2022. Methodology: Thus, with the help of classical road material characterization tests, the values of technical road engineering parameters are determined on prepared specimens. Results: The different results obtained are the percentage of passings at the 80 µm sieve (13%), the liquidity limit (32.67%), the plasticity index (13.67%), the dry density obtained at the Proctor optimum (2.28t/m3), the CBR index (106%) and the swelling index (0.04%). In the Proctor test, the water content at the OPM is evaluated at 8.20%. Similarly, studies have shown that the lateritic gravel of Cana-Atchia has a natural water content of 3.5% and an organic matter content of 0.75%. Conclusion: From this study, it appears that the lateritic aggregate of Cana-Atchia has very good technical parameters sought in road engineering, with regard to the technical specifications of the CEBTP guides of 1984 and 2019.
Matching Clients to Alcohol Treatments Using 16 Client Characteristics Simultaneously: A Cluster Analytic Approach with Research and Clinical Implications

Project MATCH sought to identify client characteristics that could be used to select treatments for specific clients to increase the effectiveness of psychosocial treatments. Results based on examining matching variables one at a time were deemed disappointing by the Project MATCH investigators. In this secondary data analysis, we present analyses examining 16 matching variables simultaneously through cluster analysis in the outpatient arm. While null results were found for the first cluster (n = 380), there was a longer time to first drink for members of the second cluster (n = 275) receiving Twelve Step Facilitation (TSF) compared to clients receiving cognitive behavioral therapy or Motivational Enhancement Therapy (MET). For the third cluster (n = 297) clients had a longer time to first drink if receiving cognitive behavioral therapy or TSF compared to MET. Additional analyses show that these cluster assignments can be adequately approximated by using nine of the 16 matching variables. It is hoped that these results rekindle interest in the benefits of client-treatment matching.
Do Adversity Intelligence have Roles in Career Maturity for Accounting Pre-Service Teacher?

This study aims to analyze the effect of ICT skills and English competencies on career maturity with adversity intelligence as a moderating variable. This study was conducted on accounting pre-service teacher students. The study population is eighty students of accounting education international class. By using simple random sampling, there were sixty-five students as the research sample. Data are collected by questionnaire and analyzed using descriptive analysis and moderation regression analysis (MRA). The results show that ICT skill does not have a significant effect on career maturity. English competencies have a significant impact on career maturity. Adversity intelligent moderate ICT skill on career maturity. Adversity intelligence moderates English competencies on career maturity. English competencies have an essential role in career maturity, which will further affect his career choices. The performance of adversity intelligence as the intelligence behind success in facing challenges after failures many are explored and investigated in the world of education today. Adversity intelligence is needed to deal with various difficulties experienced in learning.
Climate nutrient management for various sources and levels of fertilizers on soil nutrients, growth and yield of maize (Zea mays l.) in Madurai district, Tamil Nadu, India

Global climate change is expected to soil processes and properties, which are important for restoring soil fertility and low productivity. The field experiment was conducted at Research Farm, Agricultural College, and Research Institute, Madurai district, Tamil Nadu, during Kharif season 2021 to study of various sources and fertilizers' levels to influence under deficit and excess water conditions on soil fertility, growth, and yield of maize (Zea mays). The study revealed that excess and deficit water condition in moisture regime irrigations at Irrigation water / Cumulative Pan Evaporation (IW/CPE) ratio of 1.0 along with nutrient management practices (N8) 125 % Soil Test Crop Response (STCR) - NPK soil application by 1 % foliar spray of micronutrient mixture. Significantly higher of mean values available nitrogen (225 kg ha-1), available phosphorous (20.81 kg ha-1), available potassium (351 kg ha-1), dry matter production (DMP) (16,404 kg ha-1), plant height (250 cm) and yield (9,030 kg ha-1) and was comparable with IW/CPE ratio of 0.8, 0.6 along with others nutrient management practices at 100 % and 75 % STCR - NPK followed by foliar sprays 2 % NPK (19:19:19) and Pink-pigmented facultative methylotrophs (PPFM) 1 %. Hence, under a normal water availability situation, irrigation at an IW/CPE ratio of 0.8 was good enough to produce a higher yield, while under deficit and excess water conditions IW/CPE ratio of 1.0 along with125 % STCR-NPK by foliar spray of micronutrient mixture of 1 % was suitable for obtaining optimum nutrient management for enhancing soil fertility, growth and yield of maize.
Effect of Failure Fear and Achievement Motivation on Academic Procrastination Trough Self-Control

The study aimed to analyze the effect of failure fear and achievement motivation on academic procrastination and to test the self-control variable as a mediating variable. This study used a quantitative approach. The research population was 997 students of the Faculty of Economics, Universitas Negeri Semarang in the class of 2019 and the sampling based on the Slovin formula was 286 students. The sampling technique used proportional random sampling. Data collection techniques used a questionnaire. The data analysis technique used descriptive statistical analysis and path analysis. The results showed that there was a positive and significant effect of failure fear on academic procrastination. Achievement motivation and self-control had no effect on academic procrastination. Partially, failure fear had no effect on self-control. Partially, achievement motivation had a positive and significant effect on self-control, and self-control was unable to mediate the effect of failure fear and achievement motivation on academic procrastination. Suggestions given from this study include that students are advised to reduce the habit of behaving in academic procrastination starting from the smallest things, and improve their self-control skills so they can behave positively and can make the right decisions.
Analgesic Efficacy of Multiple Single-Shot Peripheral Nerve Blocks on Postoperative Short-Term Opioid Usage and Clinical Outcomes in a Suburban Hospital Setting

Background Preoperative single-shot peripheral nerve blocks (sPNBs) represent promising candidates for controlling postoperative pain, reducing dependence on opioid medications, and reducing postoperative constipation and ileus. However, there is not yet complete consensus regarding their efficacy. The primary aim of this study was to assess the impact of various sPNBs on patient short-term opioid demands and pain management parameters. Methods This single-center study retrospectively reviewed a cohort of 94 adult, elective surgery inpatients (ASA physical status I-III) scheduled for different operations. Sixty-four (68.1%) were selected for sPNB administration (group 1) and compared to the untreated group (group 0) for different clinical parameters. Results Contrary to the starting hypothesis, a higher proportion of group 1 patients experienced increasing pain intensities during the immediate postoperative period (P < 0.05, Fisher’s exact test), while requiring more bowel care medications (P < 0.05, χ2 test). Multiple linear regression modeling, however, showed that recovery time positively correlated with the opioid amount consumed (P < 0.01). Although limited, the results obtained in this study do not support an analgesic efficacy for sPNBs. Conclusion In conclusion, even though our data must be viewed within the limitations of our retrospective study and small group size, we did not find any compelling evidence for the efficacy of sPNB administration in the perioperative period.
Teeth bleaching effect and anti-oral microbial activity of water-extracted apple (Malus asiatica)

Apple contains nutrients such as sugars, dietary fiber, and vitamins as well as bioactive phytochemicals such as organic acid, fatty acid and phenolic compounds. This study was conducted to confirm the applicability of apples as a bleaching agent and functional substances for the prevention of oral infectious diseases and maintenance of oral health by investigating the bovine teeth bleaching effect, anti-oral microbial activity, and inhibitory effect of halitosis of water-extracted apple (WEA). From the results of quantitative analysis of the surface color of bovine teeth, the application of WEA significantly increased the ΔE value, indicating a bleaching effect. In the case of 100mg/ml, the ΔE value increased as the WEA application time increased, and the bleaching effect was the greatest. Based on the results of the disk diffusion test and selective culture using CRT bacteria test kit, WEA showed anti-oral microbial activity against the dental caries bacteria, Streptococcus mutans and Latobacillus casei, the periodontal bacteria, Aggregatibacter actinomycetemcomitans, and Eschericha coli, but showed no antifungal effect against Candida albicans, causing oral candidiasis. From the results of colony formation and generation of halitosis from salivary microorganisms, WEA inhibited the growth of salivary microorganisms and generation of components inducing halitosis such as hydrogen sulfide, methyl mercaptan and dimethyl sulfide, that occur during the metabolic process of oral microorganisms. Therefore, WEA is a functional substance derived from a safe and useful natural product that can be used for the prevention of oral infectious diseases and maintenance of oral health
Towards Realistic Benchmarks for Planning: the Domains Used in the Classical Part of IPC-4

Today, the research discipline of AI planning is largely concerned with improving the performance of general problem solving mechanisms. Performance is measured by testing systems on example instances of the problem to be solved. Clearly, since no mechanism will ever be able to perform well on all instances of a (hard) problem, one of the most crucial issues in such a research context is what kind of examples are used for the testing. Add on top of this that, more and more, researchers draw their testing examples from the collections used in the IPC, and it becomes evident that the IPC benchmarks are nowadays one of the most important instruments for the field. In the organisation of the (classical part of the) 4th IPC, we therefore invested considerable effort into creating a set of “appropriate” benchmarks for planning. The criteria applied for appropriateness were that the benchmarks should be:
Detection of Human Papillomavirus Subtype 16 in Esophageal Squamous Cells Carcinoma in Sudanese Patients

Oesophageal cancer is the sixth most common cancer among males and the ninth among the females worldwide. The purpose of this study is to detect association of Human papilloma virus subtype 16 and esophageal squamous cell carcinoma in Khartoum state Hospitals by polymerase chain reaction method. A retrospective descriptive study of archival formalin fixed paraffin embedded tissue from Esophageal Squamous cells carcinoma specimens acquired at Omdurman Teaching hospital, Alribat, IbnSina Hospital and Military hospital. 50 were used to detect HPV-16 by DNA Extraction and polymerase chain reaction method (PCR). PCR was performed on formalin-fixed, paraffin-embedded tissue samples from 50 patients with ESCCS. PCR detection method was used to detect the role of HPV-16. SPSS was used to analyze the data, the role of HPV-16 and the histological grade of tumors was determined. In 18 % of cases, the presence of HPV-16 was positive in the ages above 40 years old (54.2%). Females predominantly affected by squamous cellscarcinoma (22.6%). The most common histological differentiation observed with high rate of human papilloma virus type 16 was found in poorly differentiated squamous cells carcinoma (20%). The frequency of human papilloma virus type -16 was statistically insignificant associated by gender, age and histological differentiation. (P value < 0.05).