Miracle-dz/UniFAR-FTUs huggingface dataset:
Title: EXTERNAL VALIDATION OF THE FULLPIERS MODEL FOR PREDICTING ADVERSE MATERNAL OUTCOMES IN PREGNANCY HYPERTENSION IN LOW-AND-MIDDLE-INCOME COUNTRIES

Citation for published version (APA): Ukah, U. V. , Payne, B. , Lee, T. , Magee, L. A. , von Dadelszen, P., fullPIERS Working Group, & miniPIERS Working Group (2017). External Validation of the fullPIERS Model for Predicting Adverse Maternal Outcomes in Pregnancy Hypertension in Lowand Middle-Income Countries: Novelty and Significance. Hypertension, 69(4), 705-711. https://doi.org/10.1161/HYPERTENSIONAHA.116. 08706
Does Topical Proparacaine Improve Postoperative Comfort After Strabismus Surgery? Clinical Ophthalmology

Background: Strabismus surgery is often performed on children and adults as a quick-turnover, outpatient procedure under general anesthesia. Ideal methods to reduce postoperative pain and nausea are not yet perfected. We postulated that a simple topical anesthetic drop after surgery might help. Methods: In a prospective study of oculocardiac re ﬂ ex (OCR) and strabismus surgery, a cohort of ongoing patients either received proparacaine immediately post-op, or none. Covariables were Intraoperative opioid and OCR, patient age, type of surgery. Several postoperative recovery outcome variables were prospectively monitored. Results: Sixty strabismus surgery patients (age 15±22 years) received proparacaine 1% while another 80 (16.5±22 years) received none; both received topical antibiotic-steroid ointment. Pain and nausea (Likert scale) were not impacted by covariables complexity of case, age less than 3.5, OCR >33% drop, intraoperative opioid or neuro-status. Immediate post-op heart rate was lower if OCR >33% and if opioids used. Time until discharge was shorter in younger patients. Proparacaine did not impact outcome variables, except in patients younger than 3.5 years when post-op pain was worse. Conclusion: Post-op topical anesthetic either produced no difference, or worsened post-op pain and recovery. This prospective study does not support the use of topical anesthetic drop to reduce post-strabismus pain and nausea. Re ﬂ ex (OCRprop).
MINIREVIEW ,-Lactamase-Producing Enterococci

Enterococci have a long and well-established role in causing human disease, beginning with a report of what was probably an enterococcus isolated from the blood of a patient with endocarditis around the turn of this century (16). In recent years, enterococci have become recognized as a common cause of nosocomial infections and were recently cited as being the second most common pathogens isolated from hospitalized patients (31). The increasing importance of enterococci in nosocomial infections may be at least partially related to the many inherent (i.e., naturally occurring) and acquired resistances found in these organisms; these multiple resistances presumably provide a selective advantage, allowing enterococci to survive many different antimicrobial regimens. Inherent resistance to cephalosporins, semisynthetic penicillinase-resistant penicillins, low levels of aminoglycosides, and clindamycin is typically seen. Relative to streptococci, enterococci also have decreased susceptibility to penicillin, ampicillin, and ureidopenicillins, with Enterococcus faecalis, the most commonly isolated species, being less resistant to these compounds than Enterococcus faecium and Enterococcus raffiosus (2, 6, 7). Enterococci have also acquired resistance to a number of antimicrobial agents, including the tetracyclines, erythromycin, chloramphenicol, trimethoprim, high levels of clindamycin, high levels of aminoglycosides, high levels of penicillins (via penicillinase and nonpenicillinase mechanisms), and, most recently, vancomycin (16). All of these resistances add to the clinical dilemma posed by enterococci because they decrease the number of available therapeutic options and because they increase the number of agents whose use may provide a positive selective pressure for resistant organisms. This review described the emergence, characterization, and spread of 1-lactamase, an enzyme common to other organisms for decades but found only recently in enterococci.
OPTH_A_324169 3563..3572

1Department of Ophthalmology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; 2Research Division, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailanda Purpose: To determine the normative characteristics of corneal subbasal nerves in different age groups using laser scanning in vivo confocal microscopy (IVCM). Patients and Methods: This descriptive observational study recruited healthy subjects (aged 20–60 years) from Siriraj Health-Screening Center. Excluded were individuals who had abnormal ocular symptoms, previous ocular surgery, a history of any diseases related to systemic and/or corneal neuropathy, or abnormal corneal sensitivity. Corneal IVCM (HRT3/ Rostock Corneal Module) was performed at the central cornea to analyze the subbasal nerve plexus. The corneal nerve characteristics, comprising the number and density of nerves (main nerve trunks, branches, and total nerves) were analyzed using the NeuronJ program, and the corneal nerve tortuosity was graded. The correlations between the subbasal nerve density, tortuosity and age were then analyzed. Results: Eighty subjects were enrolled, with twenty in each of four age groups (20–30, >30– 40, >40–50, and >50–60 years). Overall, the mean number and density of main nerve trunks were 27.93±0.81/mm and 11.22±0.30 mm/mm, respectively. As of the nerve branches, the average number and density were 103.56±2.37/mm and 9.15±0.30 mm/mm, respectively. The total nerve density was 20.37±0.39 mm/mm. There were no significant differences between subbasal nerve parameters of the four age groups. It is noteworthy that 65% of the subjects aged over 40 years revealed high-grade nerve tortuosity. Conclusion: The corneal subbasal nerve numbers and densities were not significantly different among a healthy population aged 20–60 years. However, there was a trend towards high tortuosity of the corneal nerve in people aged over 40 years.
THE EFFECT OF BOARD SIZE ON FIRM PERFORMANCE AND HOW THIS RELATIONSHIP IS INFLUENCED BY UNCERTAINTY AVOIDANCE

This study investigates the effect of board size on firm performance measured through return on assets. Furthermore, this study investigates how this relationship is influenced by uncertainty avoidance. An unbalanced global sample of more than 9,000 observations divided over 23 countries for the time period 2006 – 2016 is used to examine this. In contrast with other studies a global sample is used and a new variable, uncertainty avoidance is added. In the study, I find that board size positively affects firm performance. Furthermore, I find that uncertainty avoidance affects the relationship between board size and firm performance. Although in contrast with other studies, my evidence supports the argument that firms should increase their board size to reduce agency costs and increase board capital.
Differential mechanical properties of the human patella tendon

The present study investigated the mechanical properties of tendon fascicles from the anterior and posterior human patellar tendon. Collagen fascicles from the anterior and posterior human patellar tendon in healthy young men (mean±SD, 29.0±4.6 yr., n=6) were tested in a mechanical rig. A stereoscopic microscope equipped with a digital camera recorded elongation. The fascicles were pre-conditioned five cycles prior to the failure test based on pilot data on rat tendon fascicle. Human fascicle length increased with repeated cycles (P<0.05); cycle 5 differed from cycle 1 (P<0.05), but not 2-4. Peak stress and yield stress were greater for anterior (76.0±9.5 MPa, 56.6±10.4 MPa) than posterior fascicles (38.5±3.9 MPa, 31.6±2.9 MPa), P<0.05, while yield strain was similar (anterior 6.8±1.0 %, posterior 8.7±1.4 %). Tangent modulus was greater for the anterior (1231±188 MPa) than the posterior (583±122 MPa) fascicles, P<0.05. In conclusion, tendon fascicles from the anterior portion of the human patellar tendon in young men displayed considerably greater peak and yield stress and tangent modulus compared to the posterior portion of the tendon, indicating regions specific material properties.
Automotive Radar Imaging Using Noncoherent Sensors

This work treats the development and evaluation of a new concept for an imaging radar algorithm for the automotive environment. The system under investigation, is especially examined for its applicability in a multi-target scenario, i.e. more targets than sensors, a basic requirement of the industry. The assignment problem resulting from trilateration of a multi-target scenario is investigated and solved. Furthermore, sensors without any synchronization of frequency or phase are used to keep the system cost efficient.
Clustering Mobile Network Data with Decorrelating Adversarial Nets

Deep learning plays a crucial role in enabling cognitive automation for the mobile networks of the future. Deep clustering – a subset of deep learning – is a valuable tool for many network automation use cases. Unfortunately, most state-of-the-art clustering algorithms target image datasets, which makes them hard to apply to mobile network automation due to their highly tuned nature and assumptions about the data. In this paper, we propose a new algorithm, Decorrelating Adversarial Nets for Clustering-friendly Encoding (DANCE), intended to be a reliable deep clustering method for mobile network automation use cases. DANCE uses a reconstructive clustering approach, separating clustering-relevant from clustering-irrelevant features in a latent representation. This separation removes unnecessary information from the clustering, increasing consistency and peak performance. We comprehensively evaluate DANCE and other select state-of-the-art deep clustering algorithms, and show that DANCE outperforms these algorithms by a significant margin in a mobile user behavior clustering task based on data gained from a simulated scenario.
The Impact of Flipped Classroom in MBA's Evaluation.

Purpose The purpose of this paper is to evaluate the perceived quality of the service environment, regarding the use of the flipped classroom, through a survey of MBA students. Design/methodology/approach Four hypotheses were developed from the literature in marketing and quality services in higher education. The hypotheses were tested using linear regressions. The data were collected using a structured questionnaire. The sample had 981 effective responses. Findings The results of the statistical analysis show that the evaluation of the perceived quality of the educator and course are positively affected by the use of the flipped classroom. Research limitations/implications Only one higher education organisation was studied. The variables analysed have no mediation and moderation, which is a suggestion for future studies. Originality/value This paper contributes to studies of higher education services and quality, as it shows the influence of the process on the educator. In higher education, the educator is usually considered independent, having a strong influence on perceived quality. The study contributes to the theme by showing the flipped classroom as an effective teaching strategy that requires further empirical study.
Resource tradeoffs for TLS-secured MQTT-based IoT Management

Transport Layer Security (TLS) is an established Internet security standard. TLS offers a variety of configuration options that affect resource consumption. For deployments of constrained devices in the Internet of Things (IoT), it is crucial to optimize TLS’s resource consumption.This study examines how the TLS cryptographic algorithms, so-called cipher suites, affect an MQTT application’s resource consumption. MQTT is a popular protocol for IoT. We construct a model application using the Mosquitto MQTT broker and client library. We measure the consumption of CPU cycles, memory, and network bandwidth with the IANA-recommended TLS 1.2 and TLS 1.3 cipher suites. We test and compare different variants for the key exchange, server authentication, client authentication, and symmetric encryption algorithms, as well as recommended elliptic curves for elliptic curve cryptography (ECC) algorithms. We identify ECDHE key exchange with the x25519 curve and mutual PSK authentication as the best handshake performance. Ed25519 provides the best performance among the certificate authentication options. The effect of choosing a faster symmetric cipher on CPU costs depends on message size. Changing symmetric ciphers does not affect the performance for 100 B messages, but more differences are observed for 10 kB messages. Overall, the findings show that resource consumption can be optimized by choosing the cipher suite and adjusting the length and rate of MQTT messages. Optimized resource consumption enables reliable management of MQTT-based IoT.
Evaluation of Deep Learning Models in ITS Software-Defined Intrusion Detection Systems

Intelligent Transportation Systems (ITS), mainly Autonomous Vehicles (AV's), are susceptible to security and safety problems that risk the users' lives. Sophisticated threats can damage the security of AV's communications and computational capabilities, slowing down their integration into our daily lives. Cyber-attacks are getting more complex, posing greater hurdles in identifying intrusions effectively. Failing to prevent the intrusions could tarnish the security services' reliability, including data confidentiality, authenticity, and reliability. IDS is an overall prediction paradigm for detecting malicious network traffic in the ITS. This article studies the role of machine or deep learning in Software Defined-Intrusion Detection System (SD-IDS) in ITS; discusses the mathematical analysis of existing deep learning models and evaluates their performances on the basis of the various metrics (i.e., accuracy, precision, recall, f-measure) to observe which model gives the best results for the existing state of art. The results show that improved Recurrent Neural Networks (RNN) is best suited for the detection of SD-IDS attacks in the data plane and control plane.
Identification of gas species and their concentrations by using sorption kinetics of viscoelastic film

Nanomechanical sensors and their arrays have been attracting significant attention for detecting, distinguishing, and identifying target analytes. In the static mode operation, sensing signals are obtained by a concentration-dependent sorption-induced mechanical stress/strain. Recently, we derived an an-alytical solution, which is applicable to multistep injection-purge cycles in the static mode nanomechanical sensing with viscoelastic receptor layers. The model can be utilized for ex-tracting viscoelastic properties and the concentrations of analytes more accurately by fitting a couple of injection purge curves obtained from experimental data. Here, we show the utility of the optimized parameters directly not only for the identification of gas species but also for their concentrations.
Three-Dimensional Image Inpainting System Using 3D-ED-GAN for Efficient Vision-Based Detection for Rotor Dynamic Balance System

We propose a three-dimensional (3D) image inpainting system using the 3D encoder–decoder generative adversarial network (IISU3EDGAN) for providing accurate detection results in vision-based rotor dynamic balancing processes. The proposed IISU3EDGAN system integrates 3D sensors with a deep learning network to reconstruct corrupted rotor images, thereby optimizing the detection parameters. In rotor component detection processes, overexposed images caused by reflections of the metallic rotor shaft affect the accuracy and performance of vision-based inspection systems. Traditional image restoration technologies or inpainting methods are inadequate for solving this problem. By contrast, our proposed system can repair 3D overexposed images of rotors. Compared with traditional image processing methods, the proposed system can adequately manage the complexity of corrupted images. In addition, it can be used to process complex overexposed rotor images and maintain image details. The proposed system can be applied to a wider range of rotor types, and it can be used to optimize the parameters of vision-based rotor detection systems to improve the accuracy of rotor component detection. We conducted experiments and observed that by using 3D sensors and deep learning, the proposed system improved the success rate in the first round of rotor dynamic balancing, reduced the number of rounds required for balancing, and increased the rotor production output. These results thus indicate that the IISU3EDGAN system is applicable and robust and that it can be used to improve the overall efficiency of dynamic balancing on rotor production lines.
Separation of Pure Perfume Mass Spectrum from Interferences Using ICA

Odor sense is one of the essential senses indispensable for humans in daily life. There is a wide variety of odor samples available to be obtained. However, most odor samples include preservatives called fixatives that can cause inconsistency in odorant analysis especially using mass spectrometry. We gathered 99 commercially available perfumes and extracted the pure perfume mass spectra without the interference of fixatives by utilizing Independent Component Analysis (ICA). The study shows that the extracted pure perfume successfully removes the influence of fixatives within the perfumes.
On Limiting & Limited Non-determinism in NEXP Lower Bounds

Proving circuit lower bounds is one of the most difficult tasks in computational complexity theory. The NP vs. P / 𝑝𝑜𝑙𝑦 problem asks whether there are small non-uniform circuits that can simulate circuit satisfiability. The answer is widely believed to be false, but so far progress has only been made in the case of restricted circuits. In 1980s the progress stalled after it was shown that NP doesn’t have non-uniform AC 0 circuits that have MOD - 𝑚 gates for any prime 𝑚 . After almost three decades, in 2010s Williams made progress in the relaxed case of NEXP lower bounds. He first showed that non-trivial satisfiability algorithms for a circuit class entail NEXP lower bounds against that class. Then he designed a fast satisfiability algorithm for ACC circuits ( AC 0 circuits with MOD - 𝑚 gates for any constant 𝑚 ) to show that NEXP doesn’t have non-uniform ACC circuits. We make progress in bringing down the class NEXP , specifically by limiting non-determinism (in terms of the number of non-deterministic branches that accept). We show that slightly faster satisfiability algorithms entail lower bounds for UEXP and related classes. We believe this is progress towards making similar connections, and thus proving lower bounds, for EXP and lower complexity classes. To investigate why progress again stalled around ACC lower bounds, and why TC 0 ( AC 0 circuits with majority gates) lower bounds have not been established yet, Williams made rigorous connections between NEXP lower bounds and variations of Natural Proofs. Razborov and Rudich defined Natural Proofs to showcase the limitations of the current lower bound techniques. They showed that any technique that entails Natural Proofs, i.e. Proofs that are (i) constructive, (ii) useful, and (iii) large, fail to prove strong lower bounds. Williams showed that NEXP lower bounds, regardless of the technique, entail Proofs that satisfy the first two of the three conditions of Natural Proofs. We make Williams connections more rigorous, and show that UEXP lower bounds entail Proofs, that in addition to the first two conditions of Natural Proofs, satisfy a third condition that is exactly the opposite of largeness condition. We call this condition, the uniqueness condition, and these Proofs, the Unique Proofs. These connections showcase that NEXP ⊇ UEXP ⊇ EXP is a viable path to approach EXP lower bounds. We also discuss an alternate approach to improve NEXP lower bounds. We define a new form of non-determinism to capture the non-uniform circuits from the class ( NP ∩ Co-NP )/ 𝑝𝑜𝑙𝑦 , and call it promise-Single-Valued non-determinism. We show that in the current NEXP lower bounds, we can allow the non-uniform circuits some limited non-determinism (in terms of the number of non-deterministic inputs) of the type promise-Single-Valued. We also discuss that, how small improvements in the amount of this special type of non-determinism, even in the restricted circuits much weaker than ACC , would imply very strong lower bounds such as NEXP ⊄ P / 𝑝𝑜𝑙𝑦 .
A Proposal of an Algebra for Vectors and an Application to Electromagnetism

A new mathematical structure intended to formalize the classical 3D and 4D vectors is briefly described. This structure is offered to the investigators as a tool that bears the potential of being more appropriate, for its use in Physics and science in general, than any of the other mathematical structures of geometric origin, such as the Hamilton (or Pauli or Dirac) quaternions, geometric algebra (GA) and space-time algebra (STA). The application of this algebra in electromagnetism is demonstrated, where current concepts are reproduced, in some cases, and modified, in other cases. Several physical variables are proved to satisfy the wave equation. It is suggested the need of an electromagnetic field scalar, with which Maxwell’s equations are derived as the result of a simple four-vector product. As a byproduct, new values and units for the dielectric permittivity and magnetic permeability of vacuum are proposed. Mathematics Subject Classification (2010). 02.10. De, 03.50. De, 06.20. fa.
RMHP_A_258748 847..853

Majid Bani-Ata Abdelwahab Aleshawi Maulla Alali 1 Yazan Kanaan 1 Wala Al-Momani 1 Nadia Kanaan Khalid Abdalla 3 Ala’’a Alhowary 1Otolaryngology Department, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan; 2Intern, King Abdullah University Hospital, Jordan University of Science and Technology, Irbid 22110, Jordan; 3Radiology Department, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan; 4Anesthesia Department, Faculty of Medicine, Jordan University of Science and Technology, Irbid 22110, Jordan Background: Tonsillectomy is one of the most commonly performed procedures among children and it is the gold standard management to reduce episodes of tonsillitis and obstructive symptoms. Many studies showed a significantly higher incidence of previous tonsillectomy in the parents and siblings. This study investigated the influence of familial and environmental trends in tonsillectomy. Methods: Retrospectively, we identified those patients who underwent tonsillectomy (the case group). Also, a control group of participants attending the hospital as visitors who had not undergone tonsillectomy was collected. Both groups are compared using the proper statistical tests. Results: This study included 1,232 participants; 615 underwent tonsillectomy (cases) and 617 did not (controls). It was found that paternal and maternal history of tonsillectomy, childhood asthma, and daycare attendance are independent factors influencing tonsillectomy in the offspring. Of about 85.4% of fathers who underwent tonsillectomy their children will also have tonsillectomy. Also, regarding the maternal history, 72.5% of offspring will have tonsillectomy if the mothers underwent the procedure. Conclusion: This study reveals that genetic predisposition factors may have a role for tonsillectomy and its underlying causative indications. Also, it highlights the importance of asthma control in children. Moreover, the role of ethnicity may be minimal due to the similar trend of this study with other studies. Further studies and prospective research are recommended.