Miracle-dz/UniFAR-FTUs huggingface dataset:
Cooperative Multi PTP Slaves for Timing Improvement in an fGn Environment

Papers dealing with the Ethernet network have shown that the packet delay variation (PDV) is a long range dependency process which may be modeled as a fractional Gaussian noise. In this letter, a closed-form approximated expression is derived for the offset variance valid for multiple precision time protocol (PTP) slaves (IEEE1588 v2) cooperating together in the network. Using this expression, we obtain, when there is long range dependence in the PDV, the total number of PTP slaves needed to receive the same offset variance as that obtained for the case of white noise PDV.
Specific downregulation of cystathionine β‐synthase expression in the kidney during obesity

Hydrogen sulfide (H2S) is recognized as a novel gasotransmitter involved in the regulation of nervous system, cardiovascular functions, inflammatory response, gastrointestinal system, and renal function. Cystathionine β‐synthase (CBS) and cystathionine γ‐lyase (CSE) are the major enzymes responsible for H2S production through desulfuration reactions. H2S is reported to play a protective role in both high‐fat diet (HFD)‐induced obese and diabetic mice. However, the synthesizing enzyme involved is not clearly elucidated. The current study was aimed to investigate the regulation of CBS and CSE in different tissues including the kidney, liver, and epididymal fat in C57BL/6 mice after a HFD (60% kcal fat) for 24 weeks. The protein and mRNA expression of CBS was specifically decreased in the kidney while CSE remained unchanged, which was further confirmed in db/db mice. In the liver, CSE expression was downregulated after HFD accompanied with unchanged CBS. Moreover, CSE expression was even upregulated in epididymal fat. The specific downregulation of renal CBS may contribute to decreased H2S production, which could be a pathogenic mechanism of obesity. Increased CSE/H2S pathway in epididymal fat possibly resulted in impaired glucose uptake and aggravated insulin resistance. In conclusion, our results revealed that CBS was selectively downregulated in both diet and gene‐induced obesity models.
Singleness, Religiosity, and the Implications for Counselors: The Indonesian Case

This paper explores the unique role of religiosity in assisting Indonesian singles (extensively refer to those who are never married) and how it relates to the counseling and therapeutic practices with never-married clients. Whereas the role of religiosity has been drawn into scholarly attention for its effectiveness in dealing with many situations that are particularly related to social stigma, little is known regarding its role in assisting singles to overcoming stigma due to their singleness. Indonesian society regards marriage as a social achievement and this perception places singles in an undervalued position. On the contrary, the society regards positively those who demonstrate religious attributes. Therefore, religiosity is a potential factor that mediates social perception of singles who attach themselves to religious attributes (such as: religious symbols and rituals). Using database search methodology, this paper presents an overview of how religiosity assists singles in overcoming their challenges and discusses the implications of those dynamics in counseling settings.
Intermittent Resistance Fault Detection at Board Level

interconnection reliability issues threat the dependability of highly dependable systems. One of the most challenging interconnection-induced reliability threats is intermittent resistive faults (IRFs). They may occur randomly in time, duration and amplitude in every interconnection. The occurrence rate can vary from a few nanoseconds to months. As a result, evoking and detecting such faults is a major challenge. In this paper, IRF detection at the board level has been investigated by introducing a new digital IRF monitor. This monitor has been validated by using hardware-based fault injection. Two widely used on-board transmission protocols —UART and SPI —have been used as case studies. In addition, one fault management framework —based on the IJTAG standard —has been implemented to collect and characterize information from the monitors. The experimental results show that the proposed monitor is effective in detecting IRFs at the board level.
Noisy Low-Tubal-Rank Tensor Completion Through Iterative Singular Tube Thresholding

In many applications, data organized in tensor form contains noise and missing entries. In this paper, the goal is to complete a tensor from its partial noisy observations. Specifically, we consider low-tubal-rank tensors sampled by element-wise Bernoulli sampling with additive sub-exponential noise. Algorithmically, a soft-impute-like algorithm, namely iterative singular tube thresholding (ISTT), is proposed. Statistically, bound on the estimation error of ISTT is explored. First, the estimation error is upper bounded non-asymptotically. Then, the minimax optimal lower bound of the estimation error for tensors with limited tubal-rank and bounded $l_\infty $ -norm is established, indicating that the proposed upper bound is order optimal up to a logarithm factor. Numerical simulations show that the proposed upper bound can precisely predict the scaling behavior of the estimation error of ISTT. Compared with several state-of-the-art convex algorithms, the effectiveness of ISTT is demonstrated through experiments on real-world data sets.
On the 2-Adic Complexity of the Two-Prime Generator

Hu introduced a simple method to compute the 2-adic complexity of any periodic binary sequence with ideal two-level autocorrelation. We extend this approach to some other sequences. First, we provide a substantially shorter proof of the maximality of the 2-adic complexity of the Legendre sequence of period <inline-formula> <tex-math notation="LaTeX">$N\equiv 1\bmod 4$ </tex-math></inline-formula> first proved by Xiong <italic>et al</italic>. Then, we show that the 2-adic complexity of the two-prime generator of period <inline-formula> <tex-math notation="LaTeX">$pq$ </tex-math></inline-formula> with two odd primes <inline-formula> <tex-math notation="LaTeX">$p\ne q$ </tex-math></inline-formula> attains the maximum if <inline-formula> <tex-math notation="LaTeX">$(q+1)/4\le p\le 4q-1$ </tex-math></inline-formula>. This result was only known for twin primes <inline-formula> <tex-math notation="LaTeX">$q=p+2$ </tex-math></inline-formula> before. For arbitrary odd primes <inline-formula> <tex-math notation="LaTeX">$p\ne q$ </tex-math></inline-formula>, we can still prove that the 2-adic complexity of the two-prime generator is close to its period.
Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks

This paper studies the robust secure beamforming (BF) issue of fifth generation (5G) cellular system operating at millimeter wave frequency and coexisting with a satellite network. By employing an uniform planar array at the base station (BS) and assuming known imperfect angle-of-arrival-based channel state informations of multiple eavesdroppers (Eves), a constrained optimization problem is first formulated to maximize the worst-case achievable secrecy rate of the cellular user under the constraints of the transmit power of BS and the interference threshold of satellite earth station. Then, we propose two robust BF methods to solve the complex optimization problem for both coordinated and uncoordinated Eves. For the case of coordinated Eves, we propose a heuristic BF scheme, which transfers the worst-case problem into a min-max one such that the BF weight vectors can be obtained analytically. For uncoordinated Eves, we convert the non-convex problem into a convex one, and further propose an iterative penalty function-based algorithm to obtain the optimal BF weight vectors. Finally, simulation results are provided to confirm the effectiveness and superiority of the proposed robust BF schemes.
Prognostic and clinicopathological significance of DEPTOR expression in cancer patients: a meta-analysis

Background DEP domain containing mammalian target of rapamycin (mTOR)-interacting protein (DEPTOR), a recently discovered endogenous inhibitor of mTOR, has been found to be abnormally expressed in various tumors. Recent studies have demonstrated that DEPTOR could serve as a potential prognostic biomarker in several kinds of cancer. However, the prognostic value of DEPTOR is still controversial so far. Patients and methods PubMed, Embase and Web of Science were systematically searched to obtain all relevant articles about the prognostic value of DEPTOR in cancer patients. ORs or HRs with corresponding 95% CIs were pooled to estimate the association between DEP-TOR expression and the clinicopathological characteristics or survival of cancer patients. Results A total of nine eligible studies with 974 cancer patients were included in our meta-analysis. Our results demonstrated that the expression of DEPTOR was not associated with the overall survival (OS) (pooled HR=0.795, 95% CI=0.252–2.509) and event-free survival (EFS) (pooled HR=1.244, 95% CI=0.543–2.848) in cancer patients. Furthermore, subgroup analysis divided by sample size, type of cancer, Newcastle–Ottawa Scale (NOS) score and evaluation of DEPTOR expression showed identical prognostic value. In addition, our analysis also revealed that there was no significant association between expression level of DEPTOR and clinicopathological characteristics, such as tumor stage, lymph node metastasis, differentiation grade and gender. Conclusion Our meta-analysis suggested that despite the fact that DEPTOR could be overexpressed or downregulated in cancer patients, it might not be a potential marker to predict the prognosis of cancer patients.
Toward Human-in-the-Loop Mobile Networks: A Radio Resource Allocation Perspective on Haptic Communications

The exchange of haptic information in remote operation systems allows humans to physically interact in remote environments with complete immersion. Such human-in-the-loop networks have been realized through wired solutions in the past. It is expected that the emerging 5G mobile communications networks will be able to meet the stringent requirements of real-time haptic interaction. By enabling haptic communications over 5G networks, human-in-the-loop mobile networks will emerge, that will support unprecedented applications. The main objective of this paper is to investigate the problem of radio resource allocation for haptic communications over 5G networks. The key requirements of haptic communications from a radio resource allocation perspective have been identified. These requirements have been translated into two distinct optimization problems for radio resource allocation, pertaining to perceptual coding and symmetric design cases. To reduce complexity, a two-step solution has been provided after decomposing the original optimization problems. In both cases, low-complexity greedy heuristic algorithms and near-optimal solutions have been proposed for resource allocation. Performance evaluation has been conducted based on a 5G air-interface design.
Three-Dimensional Geometry-Based UAV-MIMO Channel Modeling for A2G Communication Environments

We propose a 3-D elliptic-cylinder unmanned aerial vehicle (UAV) multiple-input-multiple-output (MIMO) channel model for air-to-ground communication environments. The mobility and altitude of UAV transmitters in the elevation plane are studied based on the proposed UAV-MIMO channel model. Furthermore, ground surface and roadside environment reflections are considered to investigate the statistical properties of the proposed UAV-MIMO channel model. Finally, numerical results show that the proposed channel statistics are consistent with previous results for communication channels. Overall, the proposed model, expressed by the space correlation functions, provides a novel and practical approach to investigate UAV-MIMO channels and design vehicular communication systems.
Robustness in Chinese Remainder Theorem for Multiple Numbers and Remainder Coding

Chinese remainder theorem (CRT) has been widely studied with its applications in frequency estimation, phase unwrapping, coding theory, and distributed data storage. Since traditional CRT is greatly sensitive to the errors in residues due to noises, the problem of robustly reconstructing integers via the erroneous residues has been intensively studied in the literature. In order to robustly reconstruct integers, there are basically two approaches: one is to introduce common divisors in the moduli and the other is to directly decrease the dynamic range. In this paper, we take further insight into the geometry property of the linear space associated with CRT. Echoing both ways to introduce redundancy, we propose a pseudometric as a uniform framework to analyze the tradeoff between the error bound and the dynamic range for robust CRT. Furthermore, we present the first robust CRT for multiple numbers to solve the problem raised by CRT-based undersampling frequency estimation in general. Based on symmetric polynomials proposed, we proved that in most cases, the problem can be solved efficiently in the polynomial time.
Awareness of Basic Life Support among Egyptian Medical Students; a Cross-Sectional Study

Introduction: It is important for all medical and paramedical staff to be aware of basic life support (BLS) maneuvers. In this study, we aimed to evaluate the level of BLS awareness among Egyptian medical students. Methods: The level of BLS knowledge was assessed using a validated questionnaire and the results were analyzed using an answer key, prepared from the Advanced Cardiac Life Support (ACLS) manual. We used the Student's t-test to analyze the association between awareness level and year of study, previous BLS training and practical experience. Results: A total of 823 medical students with the mean age of 20.3 ± 2.7 years, from Al-Azhar medical schools completed the questionnaire (463 and 360 in academic and clinical years, respectively). About 72% and 84% of students failed to recognize the proper point of chest compression in adults and infants, respectively. Moreover, the majority (80%) did not know how to give rescue breathing in infants. Only 18% of students correctly identified early signs of shock and only 22% knew how to help patients with myocardial infarction. Being in clinical years, previous BLS training or practical experience were significantly associated with higher BLS knowledge scores (p < 0.001). Conclusion: The level of BLS awareness among Egyptian medical students is generally poor. Introduction of regular BLS courses into the undergraduate curriculum is a must to increase the level of BLS knowledge among Egyptian future physicians.
Socioeconomic Attainments of Japanese Brazilians and Japanese Americans

This paper investigates the socioeconomic attainments of Japanese Brazilians and Japanese Americans. The findings indicate that Japanese Brazilians have higher levels of education and wages than white Brazilians, while Japanese Americans have higher levels of education and wages than white Americans. These results are inconsistent with a conventional “white supremacy” model that is popular in contemporary American sociology. We argue that that model needs to be reformulated to more systematically encompass class characteristics such as education given their salience in the twenty-first century. When smaller demographic minority groups are able to obtain high levels of a scarce class resource that is greatly valued in a competitive economy, racist relations against them in the labor market may be ameliorated. In this case, the cost of discriminating against the minority greatly exceeds the gain by not discriminating. With “white supremacy,” white employers and white employees are rewarded with a long-term racial dividend by engaging in short-term public goods behaviors (i.e., a discriminatory “united front”) that promote institutionalized racism. Because economic transactions with a very small minority group are so limited, whites as a whole do not commonly receive much long-term economic gain from discriminating against them. The maintenance of institutionalized racism against a very small minority group with high levels of class credentials therefore breaks down as individual whites are more economically rewarded by hiring and transacting with productive members of the minority group in the short-term rather than waiting for a long-term racial dividend that is likely to be trivial.
Realizing services and slices across multiple operator domains

Supporting end-to-end network slices and services across operators has become an important use case of study for 5G networks as can be seen by 5G use cases published in 3GPP, ETSI as well as NGMN. This paper presents the in- depth architecture, implementation and experiment on a multi­domain orchestration framework that is ab le to deploy such multi-operator service as well as monitor the service for SLA compliance. Our implemented architecture allows operators to abstract their sensitive details while exposing the relevant amount of information to support inter-operator slice creation. Our experiment shows that the implemented framework is capable of creating services across operators while fulfilling the respective service requirements.
Robust Single-Carrier Frequency-Domain Equalization for Broadband MIMO Systems With Imperfect Channel Estimation

Single-carrier frequency-domain equalization (SC-FDE) with multi-input multi-output (MIMO) has been recognized as an alternative technology to orthogonal frequency-division multiplexing with MIMO for broadband wireless communication systems because of its single carrier transmission advantages. Conventional SC-FDE MIMO schemes are designed under the assumption of perfect channel estimation. In this paper, we investigate the robust SC-FDE MIMO design for systems with imperfect channel estimation. Based on a statistical model for channel estimation, the optimal equalization coefficients for the robust SC-FDE MIMO schemes with both parallel interference cancellation and successive interference cancellation (SIC) are derived with the objective of minimizing the sum of the multiple data streams’ mean square errors (sum-MSE). We propose an optimal ordering algorithm in the sense of minimum sum-MSE for the SC-FDE MIMO scheme with SIC, and further propose a low complexity sub-optimal ordering algorithm. The bit-error-rate (BER) performance in the uncoded case is analyzed and a tight BER approximation is derived. Numerical results show that the proposed robust SC-FDE MIMO schemes achieve 1.5dB~4dB gains in $ E_{b}/N_{0}$ over the conventional non-robust schemes.
Position and orientation estimation of a permanent magnet using a small-scale sensor array

A maximum likelihood estimator for the determination of the position and orientation of a permanent magnet using an array of magnetometers is presented. To reduce the complexity and increase the robustness of the estimator, the likelihood function is concentrated and an iterative solution method for the resulting low-dimensional optimization problem is presented. The performance of the estimator is experimentally evaluated with a miniaturized sensor array that consists of 32 magnetometer triads. The results are compared to the Cramér-Rao bound for the estimation problem at hand. The comparisons show that the performance of the estimator is close to the Cramer-Rao bound; hence, the estimator is close to optimal. Further, the results illustrate that even with a matchbox-sized array and a small magnet with a dipole moment that has a magnitude of 7 2 · 10−3 Am2 the position and orientation of the magnet can, within a 80×80×80 mm volume, be estimated with a root mean square error of less than 10 mm and 15 deg, respectively.
Assessment of PGC1α-FNDC5 Axis in Granulosa Cells of PCOS Mouse Model

Background: Polycystic ovarian syndrome (PCOS) is a metabolic and endocrine disorder which is characterized by hyperandrogenism, anovulation or oligomenorrhea and polycystic ovarian morphology. It is believed that modulation in metabolism of granulosa cells of PCOS patients may lead to infertility. One of the metabolic modulators is FNDC5 and its cleaved form, irisin. The axis of PGC1α-FNDC5 pathway is one of the main factors affecting cellular energy balance the purpose of this study was to evaluate this pathway in granulosa cells derived from PCOS mice model in comparison with control group. Methods: In the present study, PCOS mouse model was developed by injection of dehydroepiandrosterone (DHEA) hormone in 20 mice for a period of 20 days. Also, 20 uninjected mice were used as the control. Meanwhile, a vehicle group consisted of mice which received daily subcutaneous sesame oil injection (n=20). Relative expressions of PGC1α and FNDC5 in granulosa cells were evaluated by RT-qPCR. Analysis of gene expressions was calculated by the ΔΔCT method and the relative levels of mRNA were normalized to GAPDH transcript levels. Differences in genes expression among three groups were assessed using one-way ANOVA, Tukey’s Post Hoc test. Results: Our results showed that expression of FNDC5 was significantly reduced in granulosa cells of DHEA-induced PCOS mice compared with control and vehicle groups (p<0.05), while there was no significant differences in PGC1α expression among different groups. Conclusion: Down regulation of FNDC5 transcript level may contribute in metabolic disturbance of granulosa cells derived from PCOS ovary apart from PGC1α levels which remained unchanged.
Polarization-Insensitive Four-Wave-Mixing-Based Wavelength Conversion in Few-Mode Optical Fibers

We report theoretical and experimental results on a wavelength converter based on intermodal phase matching in a graded index three-mode elliptical-core fiber. Here, two copolarized pump waves propagate in one spatial mode, whereas a signal and the corresponding generated idler propagate in another mode. We demonstrate that the idler power is independent of the signal polarization in both a 1 km and a 50 m long fiber. We attribute this polarization insensitivity to the fast random birefringence of the fiber under investigation in combination with the copolarized pump configuration.
Secrecy Rate Closed-Form Expressions for the SISO VLC Wiretap Channel With Discrete Input Signaling

We study in this letter the secrecy performance of a degraded single-input single-output visible-light communication wiretap channel. It has been shown in the literature that the secrecy capacity-achieving input distribution for this system is discrete with a finite support set. However, neither the secrecy capacity nor its achieving distribution has been derived in closed-form. In this letter, we derive in closed-form the achievable secrecy rate as a function of the discrete input distribution. We propose a class of discrete input distributions in an effort to enhance the achievable secrecy rate and approach the secrecy capacity. We also derive expressions for the achievable secrecy rate for different scenarios including the one in which the locations of the terminals are randomly located. We provide several examples that demonstrate the accuracy of the derived expressions and show the substantial secrecy rate improvements provided by the proposed scheme over existing ones.