Miracle-dz/UniFAR-FTUs huggingface dataset:
Metamaterial Based Passive Wireless Temperature Sensor  

This paper presents the fabrication, modeling, and testing of a metamaterial based passive wireless temperature sensor consisting of an array of closed ring resonators (CRRs) embedded in a dielectric material matrix. A mixture of 70 vol% Boron Nitride (BN) and 30 vol% Barium Titanate (BTO) is used as the dielectric matrix and copper washers are used as CRRs. Conventional powder compression is used for the sensor fabrication. The feasibility of wireless temperature sensing is demonstrated up to 200 °C. The resonance frequency of the sensor decreases from 11.93 GHz at room temperature to 11.85 GHz at 200 °C, providing a sensitivity of 0.462 MHz °C. The repeatability of temperature sensing tests is carried out to quantify the repeatability. The highest standard deviation observed is 0.012 GHz at 200 °C.
Dynamic Community Discovery Method Based on Phylogenetic Planted Partition in Temporal Networks

As most of the community discovery methods are researched by static thought, some community discovery algorithms cannot represent the whole dynamic network change process efficiently. This paper proposes a novel dynamic community discovery method (Phylogenetic Planted Partition Model, PPPM) for phylogenetic evolution. Firstly, the time dimension is introduced into the typical migration partition model, and all states are treated as variables, and the observation equation is constructed. Secondly, this paper takes the observation equation of the whole dynamic social network as the constraint between variables and the error function. Then, the quadratic form of the error function is minimized. Thirdly, the Levenberg–Marquardt (L–M) method is used to calculate the gradient of the error function, and the iteration is carried out. Finally, simulation experiments are carried out under the experimental environment of artificial networks and real networks. The experimental results show that: compared with FaceNet, SBM + MLE, CLBM, and PisCES, the proposed PPPM model improves accuracy by 5% and 3%, respectively. It is proven that the proposed PPPM method is robust, reasonable, and effective. This method can also be applied to the general social networking community discovery field.
The Effect of Maturity and Extraction Solvents on Bioactive Compounds and Antioxidant Activity of Mulberry (Morus alba) Fruits and Leaves

Cultivation location, maturity levels, and extraction solvents could affect the bioactive compounds and biological activities of mulberry (Morus alba Linnaeus). The lack of study on Malaysia-grown mulberry causes its underutilization. This study investigated the bioactive compound content and the antioxidant activity of Sabah-grown mulberry at two different maturity stages (fruits: red mature and black fully ripe; leaves: young and mature) extracted using 70% (v/v) methanol, 60% (v/v) ethanol, and 65% (v/v) acetone. Analyses showed that mulberry fruits demonstrated maturity-dependent increment (except UHPLC-DAD quantification), while the leaves revealed maturity-dependent reduction. Principal component analysis (PCA) displayed 65% (v/v) acetone black fully ripe fruits as the best phenolics and antioxidant sources. However, the 60% (v/v) ethanol black fully ripe fruits contained 20.08–68.43% higher total anthocyanins. Meanwhile, the 65% (v/v) acetone and 70% (v/v) methanol red mature fruits were higher in chlorogenic acid (27.53–47.12%) and rutin (31.42–35.92%) than other fruit extracts, respectively. For leaves, 65% (v/v) acetone young leaves were the best phenolics and antioxidant sources. However, the 60% (v/v) ethanol young leaves possessed greater chlorogenic acid (19.56–74.11%) than other leaf extracts. Overall, Malaysia-grown mulberry is rich in phenolics and antioxidants, suggesting its potential application in food and pharmaceutical products.
A Family of Position Values for Directed Communication Situations

In this paper, we define a family of values for directed communication situations that are inspired by the position value. We use the concept of directed communication and related connectedness in directed graphs, under which a coalition of players in a game can only cooperate if these players form a directed path in a directed communication graph. By defining an arc game, which assesses the worth of coalitions of (directed) arcs in generating worth, we allocate the Shapley value payoff of each arc over the nodes incident with this arc, where we allow the head and tail to obtain a different share in this arc payoff. However, the way that the arc payoff is shared over its head and tail is uniform over all arcs. We characterize these values by connection efficiency and a modification of the classical balanced link contributions property for undirected communication situations, discriminating between the roles of the nodes as head and tail.
Design of an Artificial Intelligence Algorithm Teaching System for Universities Based on Probabilistic Neuronal Network Model

Intelligence is gradually becoming an important tool for solving difficult problems with the development of computers. This article takes the design of university teaching systems as the research context to establish an artificial intelligence network research and learning platform. A probabilistic process neuron network model is proposed, which combines the Bayesian probabilistic classification mechanism with the dynamic signal processing method of process neuron networks, and achieves dynamic classification based on Bayesian rules by adding a pattern unit layer to the feed-forward process neuron network as well as adopting a normalised exponential excitation function. Artificial intelligence prediction based on probabilistic neural networks is verified by MATLAB as having good convergence and fault tolerance as well as data processing capability. The article also analyses the functions of the university intelligent teaching system and realises the optimal design of the university intelligent teaching system.
A Novel Thrombolytic Regimen for Mechanical Prosthetic Valve Thrombosis in a Patient With Antiphospholipid Syndrome

Management of mechanical prosthetic valve thrombosis (PVT) includes medical and surgical options. Standard medical treatment involves thrombolytic therapy with repeated slow infusions of low-dose IV tissue plasminogen activator (t-PA). The evidence for managing mechanical PVT that does not respond to the standard t-PA dosing is limited in the setting of an exacerbating hypercoagulable condition. We present a case of a patient with a history of antiphospholipid syndrome who presented with a probable thromboembolic myocardial infarction secondary to a mechanical mitral valve thrombosis that did not improve with systemic anticoagulation and repeated standard t-PA dosing but rapidly resolved with ultraslow, high-dose t-PA.
Global Dynamics of a Predator–Prey Model with Fear Effect and Impulsive State Feedback Control

In this paper, a predator–prey model with fear effect and impulsive state control is proposed and analyzed. By constructing an appropriate Poincaré map, the dynamic properties of the system, including the existence, nonexistence, and stability of periodic solutions are studied. More specifically, based on the biological meaning, the pulse and the phase set are firstly defined in different regions as well as the corresponding Poincaré map. Subsequently, the properties of the Poincaré map are analyzed, and the existence of a periodic solution for the system is investigated according to the properties of the Poincaré map. We found that the existence of the periodic solution for the system completely depends on the property of the Poincaré map. Finally, several examples containing numerical simulations verify the obtained theoretical result.
Comparison of HP Filter and the Hamilton’s Regression

In this paper we examine if the use of Hamilton’s regression filter significantly modifies the cyclical components concerning unemployment in Greece compared with those using the Hodrick–Prescott double filter (HP). Hamilton suggested the use of a regression filter in order to overcome some of the drawbacks of the HP filter, which contains the presence of false cycles, the bias in the end of the sample, and the ad-hoc assumptions for the parameters’ smoothing. Thus, our paper examines two widely used detrending methods for the extraction of cyclical components, including techniques of deterministic detrending as well as stochastic detrending. Using quarterly data for the unemployment of Greece in a macroeconomic model decomposition, we indicate that trend components and cycle components of Hamilton’s filter regression led to significantly larger cycle volatilities than those from the HP filter. The dynamic forecasting in the sample, occurred both with autoregressive forecasting, that yields steady forecasts for a wide variety of non-stationary procedures, and with the HP filter, along with its constraints at the end of the time series. The results of the paper showed that the dynamic forecasting of the HP filter is better than that of Hamilton’s in all assessment measures.
Determinants of Metabolic Syndrome and Type 2 Diabetes in the Absence of Obesity: The Jackson Heart Study

Abstract Context Multiple studies suggest that adults who were normal weight at diabetes diagnosis are at higher risk for all-cause mortality than those who had overweight or obesity at diagnosis. Objective While obesity is a known risk factor for cardiometabolic disease, differences in body fat distribution in those without obesity are understudied, especially in African Americans. Methods In 1005 participants of the Jackson Heart Study, without cardiovascular disease at baseline, we used logistic regression to investigate the longitudinal association of body fat distribution by CT scan with metabolic syndrome (MetS) or type 2 diabetes (T2D). We used the harmonized International Diabetes Federation criteria to define MetS. We included only normal weight or overweight participants (BMI: 18.5 to < 30.0 kg/m2). We created separate models for MetS and T2D adjusted for a standard set of covariates. We excluded participants with prevalent MetS or T2D, respectively in sensitivity. Results Higher visceral fat, subcutaneous fat, BMI, and insulin resistance (HOMA-IR) were significantly associated with MetS and T2D after adjustment. Visceral fat was strongly associated with both outcomes (MetS OR = 2.07 [1.66-2.68]; T2D OR = 1.51 [1.21-1.88]), and the association for MetS persisted in the normal weight only group. Estimates were robust to sensitivity analysis and were only modestly mediated by insulin resistance. Physical activity was not associated with MetS or T2D. Conclusion Visceral fat is strongly associated with developing MetS, even in normal weight individuals, suggesting that excess visceral fat plays a role in cardiometabolic risk beyond that of overall adiposity and obesity in African Americans.
Evaluation of Pain Tolerance Threshold Following Administration of Anti-TNF-α in REM Sleep-deprived Male Wistar Rats

Background and Aim: The level of Tumor Necrosis Factor-alpha (TNF-α) changes by Rapid Eye Movement (REM) sleep deprivation. TNF-α is a known biomarker of REM Sleep Deprivation (RSD). Prior studies have shown that any alteration in REM sleep can increase the amount of TNF-α. Accordingly, the Pain Tolerance Threshold (PTT) is believed to be increased in patients with insomnia after using anti-TNF-α or Infliximab (IFX). The present study aims to demonstrate the effect of IFX and its importance in the pain management of hospital inpatients. Methods and Materials/Patients: Seventy-two male Wistar rats in 9 groups were studied after obtaining the approval of the ethics committee of Tehran University of Medical Sciences (CNS. Protocol-ICSS-940816). Remicade was used for inducing the anti-TNF-α. Multiple platform water-tank was used for REM sleep deprivation induction. Pain tolerance was measured on a hot plate apparatus. Results: There was a significant increase in the duration of the rats’ tolerance on the hot plate between the saline group and the group that received IFX (0.2 mg/kg) (F2=8.363) (P<0.001). Conclusion: Chronic SD can cause neuronal damage due to neuroinflammatory insults. REM sleep deprivation, in the long run, sensitizes the brain to neurodegenerative insults via the inflammatory mechanism, to some extent through the TNFα-associated pathways.
Shear Bond Strength of Lithium Disilicate Bonded with Various Surface-Treated Titanium

Purpose Retention is one of the most important factors for fixed dental prostheses, especially in implant dentistry. Accordingly, the goal of this study was to evaluate the level of shear bond strength between titanium (Ti) subjected to different surface treatments and lithium disilicate glass-ceramics. Materials and Methods In this work, 90 titanium alloy specimens were divided into six groups as follows: the control group (CT), 50 μm alumina airborne-particle abrasion group (SB), silica-coated group (CJ), anodization group (AN), anodization followed by alumina 50 μm airborne-particle abrasion group (ANSB), and anodization followed by silica coating group (ANCJ). Titanium specimens were bonded to lithium disilicate specimens with resin cement (Multilink N). The specimens were restored in water at 37°C for 24 h, and then, shear bond strength (SBS) tests were performed using a universal testing machine (Shimadzu, Japan). The SBS values were statistically analyzed. The failure mode of the debonded titanium was classified after viewing the samples under a stereoscope. Results The results demonstrated that the mean SBSs of CT and AN were significantly lower than those of the other groups (p < 0.05). The SB group showed the highest SBS (29.47 ± 2.41 MPa); however, there was no significant difference between SB, ANSB, ANCJ, and CJ. The stereoscopic analysis demonstrated that the failure mode of AN was predominantly adhesive failure; whereas, the other groups showed cohesive and mixed failures. Conclusions In this study, it was found that the surface treatment with 50 μm alumina airborne-particle abrasion, silica coating with Cojet™ sand, anodization followed by 50 μm alumina airborne-particle abrasion, and anodization followed by silica coating with Cojet™ sand improved the SBS between titanium and lithium disilicate luted with Multilink N resin cement.
CELL PHONE IMPACT ON USER HEALTH AND CELL PHONE USAGE HABITS AMONG ADULTS

The aim of research is to find out mobile phone adult user habits and understanding of electromagnetic field effects on health. A comprehensive literature searches and analyzation was conducted in the electronic databases (Pubmed, Accessmedicine etc.), to find out later research outcomes about electromagnetic field impact on health, also electronic survey was conducted and results statisticaly processed with SPSS 24. 192 respondents participated in study: 117– females, 75– males in age range from 18 to 55 years. Hypothesis: Understanding the electromagnetic field health effects reduce the use of mobile phones on a daily basis not confirmed, because the majority of respondents are not willing to change their cell phone use patterns, or believe that it is not possible.
Effect of Intradialytic cycling exercise on 2 minutes walking test and VO2max in chronic kidney disease patients

Patients with end stage CKD are characterized by low levels of physical activity and ongoing decline in physical function, especially with routine hemodialysis (HD). Physical inactivity significantly increases the risk of morbidity and mortality in patients with HD. Two Minute Walking Test (2MWT) and VO2 max are parameters that can be used to evaluate functional capacity and cardiopulmonary fitness. Exercise can improve cardiovascular ability, dialysis effectiveness, physical function, and health-related quality of life in patients undergoing HD. This study aimed to investigate the effect of intradialytic cycling exercise on the 2MWT and VO2max in CKD patients undergoing hemodialysis Thirty CKD patients participated in this study. From the total, 4 subjects dropped out, leaving twenty-six CKD patients. Subjects divided into exercise and control groups were able to follow the study until the end. The exercise group did a low-intensity intradialytic cycling exercise program for 12 weeks. Both groups were given education about physical function and cardiopulmonary fitness in CKD patients and continued drug therapy and diet as before. 2MWT and VO2max were evaluated before and after the intervention.
Bringing the Promises of Microreactors and Gold Catalysis to Lignocellulosic Biomass Valorization: A Study on Oxidative Transformation of Furfural

Valorization of lignocellulosic biomass is a key to a sustainable chemical production industry. Furfural has been recognized as a major biomass-derived platform compound and a precursor of various value-added chemicals, including alkyl furoates with a wide range of applications. The conventional production of alkyl furoate utilizes concentrated acids and strong oxidants, making it an environmentally taxing process. A greener alternative is the one-pot direct conversion of furfural to alkyl furoate in an alcohol medium through oxidative esterification using molecular oxygen. However, the explosive mixtures of O 2 and alcohols pose a major challenge to this process. To circumvent this issue, for the first time in the literature, we employed a catalytic microchannel reactor that enabled us to carry out the reaction over a wide range of reaction conditions, including the conventionally explosive regions. The conversion of furfural to methyl 2-furoate (MF) was carried out over a silica-supported Au catalyst coated on the inner wall of a microcapillary. A thorough experimental investigation of the reaction was conducted to obtain kinetic information while accounting for possible mass transfer effects on the process. The barely addressed mechanism of gold-assisted oxidative esterification is then investigated, taking advantage of ab initio density functional theory to examine plausible mechanisms. Experimental and computational evidence suggested that surface regeneration by O 2 and decomposition of methanol to methoxy species are the crucial steps in the reaction pathway, while furfural was found to have no involvement in the rate-determining step. This work attempts to provide further insights into the reaction engineering and mechanistic aspects of furfural oxidative esterification to potentially contribute to rational catalyst design and process development.
An Automated Room Temperature Flip-Chip Mounting Process for Hybrid Printed Electronics

Printing technology and mounting technology enable the novel field of hybrid printed electronics. To establish a hybrid printed system, one challenge is that the applied mounting process meets the requirements of functional inks and substrates. One of the most common requirements is low process temperature. Many functional inks and substrates cannot withstand the high temperatures required by traditional mounting processes. In this work, a standardized interconnection and an automated bump-less flip-chip mounting process using a room temperature curing conductive adhesive are realised. With the proposed process, the conductive adhesive selected for the standardized interconnection can be dispensed uniformly, despite its increase of viscosity already during pot time. Electrical and mechanical performance of the interconnection are characterized by four terminal resistance measurement and shear test. The herein proposed automated process allows for fabrication of hybrid printed devices in larger batch sizes than manual assembly processes used beforehand and thus, more comprehensive evaluation of device parameters. This is successfully demonstrated in a first application, a novel hybrid printed security device. The room temperature mounting process eliminates any potentially damaging thermal influence on the performance of the printed circuits that might result from other assembly techniques like soldering.
Characterization and Roles of Membrane Lipids in Fatty Liver Disease

Obesity has reached global epidemic proportions and it affects the development of insulin resistance, type 2 diabetes, fatty liver disease and other metabolic diseases. Membrane lipids are important structural and signaling components of the cell membrane. Recent studies highlight their importance in lipid homeostasis and are implicated in the pathogenesis of fatty liver disease. Here, we discuss the numerous membrane lipid species and their metabolites including, phospholipids, sphingolipids and cholesterol, and how dysregulation of their composition and physiology contribute to the development of fatty liver disease. The development of new genetic and pharmacological mouse models has shed light on the role of lipid species on various mechanisms/pathways; these lipids impact many aspects of the pathophysiology of fatty liver disease and could potentially be targeted for the treatment of fatty liver disease.
Car use within the household

In this paper we study the demand for car kilometres in two-car households, focusing on the substitution between cars in response to fuel price changes. We use a large sample of detailed Danish data on two-car households to estimate -for each car owned by the household -own and cross-price effects of increases in fuel costs per kilometre. The empirical results show that failure to capture substitution between cars within the household can result in substantial misspecification biases. Ignoring substitution, we estimate fuel price elasticities of –0.81 and -0.65 for the primary and secondary cars, respectively. When we do take into account the substitution effect, these figures reduce to, respectively, -0.32 and -0.45. We further estimate an alternative version of the model to test the hypothesis that substitution in response to higher fuel prices will be predominantly from the least to the most fuel efficient car, finding partial support for the underlying hypothesis. More importantly, the results of this extended model emphasize the importance of behavioural differences related to the position of the most fuel efficient car in the household, suggesting that households’ fuel efficiency choices are related to their price sensitivity.
Uniaxial Partitioning Strategy for Efficient Point Cloud Registration

In 3D reconstruction applications, an important issue is the matching of point clouds corresponding to different perspectives of a particular object or scene, which is addressed by the use of variants of the Iterative Closest Point (ICP) algorithm. In this work, we introduce a cloud-partitioning strategy for improved registration and compare it to other relevant approaches by using both time and quality of pose correction. Quality is assessed from a rotation metric and also by the root mean square error (RMSE) computed over the points of the source cloud and the corresponding closest ones in the corrected target point cloud. A wide and plural set of experimentation scenarios was used to test the algorithm and assess its generalization, revealing that our cloud-partitioning approach can provide a very good match in both indoor and outdoor scenes, even when the data suffer from noisy measurements or when the data size of the source and target models differ significantly. Furthermore, in most of the scenarios analyzed, registration with the proposed technique was achieved in shorter time than those from the literature.