Miracle-dz/UniFAR-FTUs huggingface dataset:
PGPM_A_181520 235..245

1Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; 2Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; 3Personalized Medicine Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; 4Department of Pharmacoeconomics and Pharmaceutical Administration, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; 5Medical Genomics Research Center, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; 6Pediateric Urology and Regenerative Medicine Research Center, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran; 7Department of Pathology, Dr. Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran Abstract: Thyroid cancer is one of the most common endocrine malignancies, with
SIMULTANEOUS DETETION OF PROTEIN AND DNA IN A MICROFLUIDIC DEVICE USING SPATIAL ADDRESSABLE MICROBEADS ON A GEL PAD ARRAY

A novel microfluidic device is developed which is, for the first time, able to detect protein and DNA simultaneously by using antibody and oligonucleotide biofunctionalized microbeads. The device consists of a gel pad array, which was used for the patterning of biofunctionalized microbeads, and a polydimethylsiloxane (PDMS) microfluidic module. By using the spatially encoded microbeads, the simultaneous detection of proteins and oligonucleotides was achieved on the array in a single microfluidic assay within 40 minutes.
Knowledge transfer capability among technology-based firms in Malaysian technology parks

Knowledge transfer capability (KTC) is essential for technology-based firms (TBFs) to remain survive and competitive. KTC is determined by knowledge stocks (KS), social network (SN), and firm’s environment (FE). The KTC factors enable TBFs to be innovative with new products and services to the market. The study used personal interviews with 12 informants from TBFs located at several Malaysian technology parks. The results showed that Malaysian TBFs confirmed that their KTC is highly influenced by KS and SN, but not so much of FE. Future research suggests case study method for more details.
Hierarchical Agent-Based Modeling for Improved Traffic Routing

Agent-based model (ABM) simulation is a bottom–up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a system. Therefore, it is an appropriate technology to analyze emergent phenomena in social sciences and complex adaptive systems such as vehicular traffic and pedestrian crowds. In this paper, a hybrid agent-based modeling framework designed to automate decision-making processes during traffic congestion is proposed. The model provides drivers with real-time alternative routes, computed via a decentralized multi-agent model, that tries to achieve a system-optimal traffic distribution within an entire system, thus reducing the total travel time of all the drivers. The presented work explores a decentralized ABM technique on an autonomous microgrid that is represented through cellular automata (CA). The proposed model was applied to high-density traffic congestion events such as car accidents or lane closures, and its effectiveness was analyzed. The experimental results confirm the efficiency of the proposed model in not only accurately simulating the driver behaviors and improving vehicular traffic flows during congestion but also by suggesting changes to traffic dynamics during the simulations, such as avoiding obstacles and high-density areas and then selecting the best alternative routes. The simulation results validate the ability of the proposed model and the included decision-making sub-models to both predict and improve the behaviors and intended actions of the agents.
H-Plane Metallic RWG-to-SIW Transition Using Aperture Coupling

This paper presents the design of transition between H-plane metallic rectangular waveguide (RWG) and substrate integrated waveguide (SIW). It is suitable for efficient RF/microwave and millimeter-wave (mm-wave) circuit and phased array antenna systems. The simulation results of the H-plane RWG-SIW transition and the 3-dB junction power splitter are presented. The transition shows an insertion loss of less than ~ 0.11 dB @ 30 GHz with reflection coefficient less than 10 dB over the frequency band 26.3-30.7 GHz.
Series Chained Patch Phased Array Antenna for mmWave 5G Mobile in Metal Bezel Design

This paper proposes a series chained patch phased array antenna for metal bezel design mobile application operating millimeter-wave (mmWave) 5G communication at 28GHz. The proposed antenna is 2 × 4 series chained patch antenna array implemented on the corner of metal bezel of mobile device. Also it is designed for beam steering in xy-plane and yz-plane. The metal chain is added and implemented between patch element for its robustness and metal fabrication. The maximum gains of the proposed antenna in xy-plane are 12.8 dBi, 12.9 dBi and 13 dBi. Beam steering angle is ± 45 degrees at xy-plane and ± 30 degrees at yz-plane. The detail of the design methodologies, simulation and measurement results are presented and discussed in relation to the targeted mmWave 5G mobile application.
Number 10 / 41 Optimal Error Estimates of a Mixed Finite Element Method for Parabolic Integro-Differential Equations with Non Smooth Initial Data by

In this article, a new mixed method is proposed and analyzed for parabolic integrodifferential equations (PIDE) with nonsmooth initial data. Compared to mixed methods for PIDE, the present method does not bank on a reformulation using a resolvent operator. Based on energy arguments and without using parabolic type duality technique, optimal L-error estimates are derived for semidiscrete approximations, when the initial data is in L. Due to the presence of the integral term, it is, further, observed that estimate in dual of H(div)-space plays a role in our error analysis. Moreover, the proposed analysis follows the spirit of the proof technique used for deriving optimal error estimates of finite element approximations to PIDE with smooth data and therefore, it unifies both the theories, i.e., one for smooth data and other for nonsmooth data. Finally, the proposed analysis can be easily extended to other mixed method for PIDE with rough initial data and provides an improved result.
Cardiac arrest and therapeutic hypothermia: Prognosis and outcome

Abstract Therapeutic hypothermia (TH) is the only treatment available to reduce neurological sequels for unconscious patients following cardiac arrest (CA). TH requires sedation and muscular relaxation, obscuring the clinical neurological examination for estimation of prognosis, and clinical decision making. Continuous amplitude-integrated EEG (aEEG) has been used to predict outcome in neonates suffering from asphyxia. In adults following CA and TH, the novel observation was made that a continuous aEEG-pattern prior to or at normothermia strongly correlated to return of consciousness, while other patterns strongly correlated to continued coma. A status epilepticus aEEG-pattern carried a poor, but not desolate prognosis. Biochemical neuronal-markers (neuron-specific enolase (NSE) and S-100B) have previously been assessed in non-TH CA patients. In TH, an NSE level of 28 μg/l 48h after CA, or an increase of more than 2 μg/l between 24 and 48h were strongly associated to a poor outcome. Five days after the CA, one third of the patients remained in coma. They either had multimodal signs of extensive brain damage (high NSE levels, ischemic changes on MRI or neurophysiological evidence of advanced brain damage (bilateral lack of SSEP)), or showed sustained unconsciousness and a status epilepticus aEEG-pattern. Unconscious patients without these signs of brain injury eventually regained consciousness. Approximately 50% of hypothermia treated patients regained consciousness. Ninety-eight percent of surviving patients had an independent lifestyle six months after the CA. The dominant cognitive problem was a disturbed memory function. Taken together, aEEG appears superior in early neurological prognostication in these patients.
SPSR-FSPG: A Fast Simulative Password Set Generation Algorithm

Identity authentication is a main line of defense for network security, and passwords have long been the mainstream of identity authentication. In the field of password security research, large-scale password datasets have played an important role in the efficiency evaluation of password attack algorithms, the feasibility detection of password strength meters, and the correction of password probability models. However, due to user privacy, timeliness, effectiveness and other factors, it is still very difficult for researchers to obtain real large-scale user plaintext passwords. Based on this, this paper proposes a fast simulative password set generation algorithm based on structure partitioning and string recombination, denoted as SPSR-FSPG. The algorithm uses the probability context-free grammar to model the structure of the password, and constructs a string generation model based on the recurrent neural network to generate different types of strings, so as to learn the character composition of the password in the original dataset. In addition, the model fully considers the user’s password reuse and modification behavior. Finally, the method is verified by experiment on six real Chinese and English password sets. The results show that the generation rate of SPSR-FSPG is faster than other algorithms. In terms of true password coverage, the SPSR-FPSG simulative password set is increased by 11.36% and 17.5, respectively, relative to SPPG and PCFG, and is increased by about 122.73% and 130.3%, respectively, compared to OMEN and 4-Markov. And the fit of the Zipf distribution is maintained at a level above 0.95, it is better than 0.9 of SPPG. At the same time, the SPPR-FPSG simulative password set is closer to the real password set in terms of length and character composition.
Universality of Tsallis Non-Extensive Statistics and Fractal Dynamics for Complex Systems

Tsallis q-extension of statistics and fractal generalization of dynamics are two faces of the same physical reality, as well as the Kernel modern complexity theory. The fractal generalization dynamics is based at the multiscale - multifractal characters of complex dynamics in the physical space-time and the complex system's dynamical phase space. Tsallis q-triplet of non-extensive statistics can be used for the experiment test of q-statistic as well as of the fractal dynamics. In this study we present indicative experimental verifications of Tsallis theory in various complex systems such as solar plasmas, (planetic magnetospheres, cosmic stars and cosmic rays), atmospheric dynamics, seismogenesis and brain dynamics.
Potentiation of the Response of GABAA Receptors by Bangladeshi Medicinal Plants

As part of the search for new sources of mental health supplements, alcohol extracts of 11 Bangladeshi medicinal fruits and plants were investigated for neuropharmacological effects in mice and on ionotropic γ-aminobutyric acid receptors (GABAA receptors). The extracts of S. caseolaris, T. bellirica, S. cumini, and T. arjuna significantly potentiated the GABA-induced response of GABAA receptors expressed in Xenopus oocytes, though the extracts alone induced no response. In mice, administration of these extracts prolonged pentobarbital-induced sleeping time. Potentiation of GABAA receptor response reportedly generates anxiolytic, sedative, sleep-inducing and anesthetic activities in the human brain. Thus, these extracts may have potential regarding the development of a supplement with tranquilizing and sleepinducing effects that is beneficial for mental health.
A Study of Australian Early Childhood Educators' Attitudes toward Chinese Children's Home language and English Development in Early Childhood Settings

This study focused on five Australian early childhood educators’ language attitudes regarding Chinese children’s home language and English development in their early childhood settings 1 . Semi-structured interviews were undertaken with five educators from five early childhood settings. The data were organized and analysed according to propositions from research on teachers’ language attitudes [3] [21] [34]. Findings revealed that the educators held positive attitudes toward Chinese children learning two languages as they acknowledged the functional benefit of bilingualism. However, educators had different ideas about the role they should play in supporting Chinese children’s language development in early childhood settings. Three educators thought their role was to help Chinese children to develop English skills in the settings whereas the other two claimed supporting both home language and English was one of their duties. Educators’ training experiences and Chinese parents’ language expectation were found to be related to educators’ attitudes. The implications of these findings were discussed.
What is really uncovered by mixing different model structures: contrasts between latent class and model averaging

Latent class models have long been a tool for capturing heterogeneity across decisionmakers in the sensitivities to individual attributes. More recently, there has been increased interest in using these models to capture heterogeneity in actual behavioural processes, such as information/attribute processing and decision rules. This often leads to substantial improvement in model fit and the apparent finding of large clusters of individuals making choices in ways that are substantially different from those used by others. Such findings have however not been without criticism given the potential risk of confounding with other more modelspecific heterogeneity. In this paper, we consider an alternative approach for exploring the issue by contrasting the findings obtained with model averaging, which combines the results from a number of separately (rather than simultaneously) estimated models. We demonstrate that model averaging can accurately recover the different data generation processes used to create a number of simulated datasets and thus beused to infer likely sources of heterogeneity. We then use this new diagnostic tool on two stated choice case studies. For the first, we find that the use of model averaging leads to significant reductions in the amount of heterogeneity of the type analysts have sought to uncover with latent class structures of late. For the second, results from model averaging show clear evidence of the existence of both taste and decision rule heterogeneity. Overall, however, our results suggest that heterogeneity in the sensitivities to individual attributes rather than the behavioural process per se could be the key factor behind the improvements gained through the adoption of latent class models for heterogeneity in behavioural processes.
Disrupted Blood-Retina Lysophosphatidylcholine Transport Impairs Photoreceptor Health But Not Visual Signal Transduction

Retinal photoreceptor cells contain the highest concentration of docosahexaenoic acid (DHA) in our bodies, and it has been long assumed that this is critical for supporting normal vision. Indeed, early studies using DHA dietary restriction documented reduced light sensitivity by DHA-deprived retinas. Recently, it has been demonstrated that a major route of DHA entry in the retina is the delivery across the blood–retina barrier by the sodium-dependent lipid transporter, Mfsd2a. Retinal photoreceptor cells contain the highest concentration of docosahexaenoic acid (DHA) in our bodies, and it has been long assumed that this is critical for supporting normal vision. Indeed, early studies using DHA dietary restriction documented reduced light sensitivity by DHA-deprived retinas. Recently, it has been demonstrated that a major route of DHA entry in the retina is the delivery across the blood–retina barrier by the sodium-dependent lipid transporter, Mfsd2a. This discovery opened a unique opportunity to analyze photoreceptor health and function in DHA-deprived retinas using the Mfsd2a knock-out mouse as animal model. Our lipidome analyses of Mfsd2a−/− retinas and outer segment membranes corroborated the previously reported decrease in the fraction of DHA-containing phospholipids and a compensatory increase in phospholipids containing arachidonic acid. We also revealed an increase in the retinal content of monounsaturated fatty acids and a reduction in very long chain fatty acids. These changes could be explained by a combination of reduced DHA supply to the retina and a concomitant upregulation of several fatty acid desaturases controlled by sterol regulatory element-binding transcription factors, which are upregulated in Mfsd2a−/− retinas. Mfsd2a−/− retinas undergo slow progressive degeneration, with ∼30% of photoreceptor cells lost by the age of 6 months. Despite this pathology, the ultrastructure Mfsd2a−/− photoreceptors and their ability to produce light responses were essentially normal. These data demonstrate that, whereas maintaining the lysophosphatidylcholine route of DHA supply to the retina is essential for long-term photoreceptor survival, it is not important for supporting normal phototransduction. SIGNIFICANCE STATEMENT Phospholipids containing docosahexaenoic acid (DHA) are greatly enriched in the nervous system, with the highest concentration found in the light-sensitive membranes of photoreceptor cells. In this study, we analyzed the consequences of impaired DHA transport across the blood–retina barrier. We have found that, in addition to a predictable reduction in the DHA level, the affected retinas undergo a complex, transcriptionally-driven rebuilding of their membrane lipidome in a pattern preserving the overall saturation/desaturation balance of retinal phospholipids. Remarkably, these changes do not affect the ability of photoreceptors to produce responses to light but are detrimental for the long-term survival of these cells.
Potentially Toxic Elements and Health Risk Assessment in Farmland Systems around High-Concentrated Arsenic Coal Mining in Xingren, China

The health risk of potentially toxic elements (PTEs) via contamination of the food chain has attracted widespread concern. The aim of this study is to evaluate the effects of PTEs in environment and human body (fingernail, hair, and blood) of people living in agricultural soil near arsenic coal mining areas in Xingren County (Guizhou, southwest China). 89 crop samples which included vegetables, rice, maize, and coix seed and their corresponding soils and 17 local surface water and biological tissue samples (41 × 3) in near arsenic coal mining areas were collected, and the concentrations of potentially toxic elements (As, Cd, Cu, Cr, and Pb) in all the samples were determined. The health risk assessment methods developed by the United States Environmental Protection Agency were employed to explore the potential health hazards of PTEs in soils growing crops. Results showed that 4 toxic elements, Cd, Cu, As, and Cr, were found to have different degrees of contamination in soils in the studied area. The total concentration of toxic elements (As, Cr, Cu, and Pb) in fingernail, hair, and blood samples were 90.50, 69.31, and 6.90 mg·kg−1, respectively. Fingernail samples from females were more likely to show exposure to trace metals compared to males. As the age of the subject increased, the concentration of As also increased in all three biological samples. The risk assessment for the mean hazard index value from the consumption of local food crops was 14.81, indicating that consumers may experience adverse, noncarcinogenic health effects. The estimated mean total cancer risk value of was 5.3 × 10−3, which was approximately 10 to 1000 times higher than the acceptable range of 10−6–10−4, indicating serious carcinogenic risks for local people consuming crops from the area. This study provides evidence that local residents in this study area may be at a high risk of disease caused from toxic element exposure.
Analysis and optimized design of single feed circularly polarized microstrip antennas

Analysis and optimized designs are presented of three types of single feed circularly polarized microstrip antennas, namely, a diagonal fed nearly square, a truncated-corners square and a square with a diagonal slot. The Green's function approach and the desegmentation methods are used. The resonant frequencies are calculated for two orthogonal modes which together yield circular polarization. Optimum feed locations are determined for the best impedance match to a 50 \Omega coaxial feed line. Axial-ratio bandwidths, voltage standing-wave ratio (VSWR) bandwidths and radiation patterns are evaluated and verified experimentally.
An empirical study on user behavior of rebate platform in China

With the rapid development of rebate platform in China, attracting users and improving user stickiness are urgent problems for many rebate platforms. Therefore, this paper conducts empirical research on the factors affecting the user behavior of rebate platform users. Based on the characteristics of the rebate platform, this paper adds two factors of risk perception and profit motive on the basis of UTAUT2 model, and user heterogeneity as an adjustment variable, establishes the research model of user behavior of rebate platform. In this model we propose 13 hypotheses, and all hypotheses are supported except for facilitating factors and hedonic motivation. In addition, for the first time, we discussed in detail the impact of user heterogeneity on the user behavior of rebate platform users. We also proposed operational decision-making suggestions and perfects the empirical study on the influencing factors of the use behavior of rebate platform in current academic community, and provided strategic support for the optimization of the website, and It promoted the development of specialization, modularization and standardization of China's rebate platform.
Parameter Extraction for Equivalent Circuit Model of RF Devices Based on a Hybrid Optimization Method

One major difficulty of parameter extraction for an equivalent circuit lies in applying an optimization algorithm to efficiently approach the global minimum. Traditional genetic algorithm (GA) is able to find the global minimum but it has very low convergence rate. On the other hand, direct search method may be easily trapped in local minima. In this work, an improved parameter extraction method which is capable of effectively performing the global minimum search is proposed. This method combines GA and Powell’s method to efficiently determine circuit elements of an equivalent circuit model. A spiral inductor and an interdigital capacitor are used as design examples to illustrate the extraction procedure and validate the proposed hybrid method.
Triangular and Rectangular SIW Microstrip Antennas

This paper reports the cavity model analysis of the substrate integrated waveguide (SIW) microstrip antennas based on rectangular and triangular geometries. From these canonical geometries, a diversity of antennas combining magnetic and electric walls are proposed. The electric field distribution inside the antennas and the resonant frequencies are summarized for ten different radiators. In order to validate the proposed geometries, simulations were carried out in the HFSS software and two prototypes were manufactured, presenting good agreement with theoretical prediction.