Miracle-dz/UniFAR-FTUs huggingface dataset:
Features of perinatal outcomes in women after supporting reproductive technologies

Abstrac: Pregnancy conceived with assisted reproductive technologies (ART) has a higher risk of maternal and perinatal complications, and the overall risk of adverse outcomes requiring extended obstetric care has not been thoroughly studied. The review is devoted to the actual problem of the health status of children born after IVF. A systematic review of the health indicators of children conceived with IVF after the neonatal period was carried out versus natural, conceived.
Reorganizing the Factory: Competing Through Cellular Manufacturing

1. Competing through Cellular Manufacturing 2. A Closer Look at Cells: What They Are and the Forms They Take 3. Why Cells Improve Performance 4. The Planning and Implementation of Cellular Manufacturing Systems 5. Factory Planning 6. Detailed Planning -- One Cell at a Time 7. Understanding Cell Performance Using Modeling 8. Determining the Economic Value of Cells 9. Performance Measurement for Cells 10. Cost Accounting and Cellular Manufacturing 11. Manufacturing Planning and Control Systems for Cells 12. Job Design and Daily Work in Manufacturing Cells 13. Selecting and Training Cell Employees 14. Compensation Systems for Cell Employees 15. Planning for Cell Implementation and Managing the Change 16. Common Problems in the Design, Justification, Implementation and Operation of Cells 17. Improvement and Evolution of Cells 18. Reorganizing Office Work Using Cellular Principles 19. Future Changes and Challenges Appendices.
Holographic PNF Filtering Based On Known Volumetric AUT Bounds

There has been much discussion in the last few decades regarding redundancy in conventional near-field sampling, and that redundancy is most pronounced in the planar geometry. There has also been much discussion regarding modal filtering of near-field data to attenuate the effects of stray signals. Both discussions revolve around the limited local spatial bandwidth that can be produced at each probe location when the antenna under test's (AUT's) radiating sources are all contained within a known geometric boundary. This paper discusses a novel filtering technique that exploits the inherent sampling redundancy in conventional planar near-field acquisitions. The filtering is based solely on the known location and shape in the scanner's coordinate system of a closed 3D boundary around the radiators of interest. The paper describes the algorithm and presents results from both measured and synthesized input. The new filter is also compared to other available filters in terms of speed, attenuation of stray signals, and preservation of AUT signals.
Multicultural Horizons: Diversity and Implications on QMS Implementation in the Manufacturing Industries

Research in the Quality Management System is a particular relevant topic as a significant contribution to the development of industries more particular in the manufacturing industries. In addition, there have been a number of studies pertaining to the measures and examination of Organizational Culture and its adverse effect on the Quality Management System implementation in the organization. This research is designed to study the impact of organizational culture on companies’ Quality Management System implementation in the manufacturing industry in the Philippines. For this purpose, culture is representing the independent variable while Quality Management System implementation is taken as the dependent variable. The researcher used the descriptive type of research where it describes the existing condition of Quality Management System in the country and at the same describes the nature of its respondents in terms of the type of Organizational Culture they belong to. Certain things were put into consideration to identify the relationship between culture and Quality Management System implementation within the selected company in the Philippines. The review begins with the examination of literature in the field of Quality Management System and Organizational Culture. This literature review includes the syntheses of relevant studies concerning the role of Organizational Culture in the implementation of Quality Management System and in the enhancement of business performance and productivity. After the analysis of wide literature and the data gathered, it is found that Organizational Culture has deep impact on various elements of Quality Management System and describes the current culture of Manufacturing Industries in the Philippines.
A small bandstop microstrip filter for UWB applications

A small bandstop microstrip filter for ultra‐wideband application is proposed. The proposed filter combines the traditional short‐circuited stub highpass filter and the open‐circuited stub bandstop filter on the mitered 50‐Ω microstrip line. The distributed highpass filter scheme is applied to achieve highpass filtering characteristics over ultra‐wideband frequency band (3.1–10.6 GHz) and the open‐circuited stubs are used to obtain the band rejection function at Wireless Local Area Network frequency band. The measured results show that the proposed filter has a wide passband characteristic of 132.12% (2.16–10.57 GHz), with the return loss of less than −10 dB and 3‐dB stop band of 14.37% (5.17–5.97 GHz). The measured group delay is less than 0.65 ns within the passband except the rejection band. © 2006 Wiley Periodicals, Inc. Microwave Opt Technol Lett 48: 2162–2165, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21887
Microwave band demonstration of a reflective geometry fiber and free-space binary photonic delay line

For the first time, a modulated 2-b, one-channel binary switched, photonic time delay system (PTDS) is demonstrated that is based on a compact reflective optical delay path geometry that consists of one free-space delay line and one non-polarization-maintaining (PM) fiber delay line. Polarization switching using birefringent-mode nematic liquid crystals and a polarization noise-reduction technique are used to minimize the optical noise when using the cube polarization beamsplitters (PBSs) required in the reflective geometry delay. This gives the high electrical signal-to-noise ratios measured from 52 to 89 dB for the four settings of the delay line.
Autoencoder-based anomaly detector for gear tooth bending fatigue cracks

The article reports on anomaly detection performance of data-driven models based on a few selected autoencoder topologies and compares them to the performance of a set of popular classical vibration-based condition indicators. The evaluation of these models employed data that consisted of baseline gearbox runs and the associated runs with seeded bending cracks in the root of the gear teeth for eight different gear pairings. The analyses showed that the data-driven models, trained on a subset of baseline data outperformed classical CIs as anomaly detectors.
Interference diversity gains via adaptive block-diagonalisation for multiuser MIMO downlinks

Proposed is an adaptive fully transmitter-based block-diagonalisation scheme for multiple input multiple output (MIMO) multiuser downlink systems. A relaxation to the beamforming optimisation constraints is proposed, which introduces interference diversity and attains a more efficient performance optimisation. The trade-off to the performance improvement is an increase in the precoding complexity imposed by the adaptive nature of the proposed beamforming. A sub-optimal adaptive-decomposition beamforming scheme is also proposed with a reduced complexity overhead. Comparative analytical and simulation results to conventional beamforming demonstrate the significant diversity gains offered by the proposed scheme.
A Multi-Attribute Data Mining Model for Rule Extraction with Applications in the Financial Services Industry

Purpose. Considering customers’ differences and similarities play a crucial role in recent years. Specifically, service industries have to develop numerous strategies for various types of customers found on their action to reach performance improvement and customer loyalty. This study aims to understand the behavioral pattern of customers in the banking industry by proposing a hybrid data mining and decision-making approach resulting in rule extraction and service operation benchmarking. Design/methodology/approach. We analyze customer data to identify the best customers using a modified Recency, Frequency, and Monetary (RFM) model and K-means clustering. The number of clusters is determined with a two-step K-means quality analysis based on the Silhouette, Davies-Bouldin, and Calinski-Harabasz indices and the Evaluation based on Distance from Average Solution (EDAS). The Best-Worst Method (BWM) and the Total Area based on Orthogonal Vectors (TAOV) are used next to sort the clusters. Finally, the associative rules and the Apriori algorithm are used to derive the customers’ behavior patterns. Findings. As a result of implementing the proposed approach in the financial service industry, customers were segmented and ranked into six clusters by analyzing 20,000 records. Furthermore, frequent customer financial behavior patterns were recognized based on demographic characteristics and financial transactions of customers. Thus, customer types were classified as highly loyal, loyal, high-interacting, high-interacting, low-interacting, and missing customers. Eventually, appropriate strategies for interacting with each customer type were proposed. Originality/Value. We propose a novel hybrid multi-attribute data mining approach for rule extraction and service operations benchmarking approach by combining data mining tools with a multi-layer decision-making approach. The proposed hybrid approach has been implemented in a large-scale problem in the financial services industry.
Learning an Optimal Operational Strategy for Service Life Extension of Gear Wheels with Double Deep Q Networks

One failure mechanism of gear wheels is pitting. If the gear wheel is case hardened, pitting degradation dominates normally at one tooth only. All the other teeth are still intact at the standardized end of life criterion of 4 % pitting area based on the total tooth area. Using an operational strategy that was developed at the Institute of Machine Components, the service life of gear wheels can be extended by a local stress reduction at the weakest tooth. This is accomplished by applying an adapted torque at the transmission input that shifts a minimum torque in the area of the pre-damaged, and thus, weakest tooth. Consequently, all remaining teeth with higher load bearing capacity are subjected to higher torque. Prerequisite for the described theoretical operational strategy is knowledge on pitting-size and -position. The detection of these properties in operation is not state of the art yet. In this work, only the gearbox vibration signal is known without explicit knowledge about the inside pitting. So the challenge is to determine the health for each individual tooth and to choose an optimal adapted torque based on this. This is especially difficult due to differing growth rates of pittings on one individual gear wheel. Hence, different pittings dominate over the service life, which results in the need of a continuous optimization of the torque control. Algorithms of Reinforcement Learning (RL) are particularly suitable for this challenge. In this branch of Machine Learning (ML), an agent interacts inside an environment and learns by getting rewards for taking actions at given states. In this study, the environment is a gearbox-simulation-model, the state is the current vibration signal, and the action is the chosen adapted torque. Thus, it is possible to let the algorithm learn the whole operational strategy, from online failure detection to an adapted torque at the transmission input. The results of this study show the theoretical feasibility of the operational strategy using Double Deep Q Networks as the RL Algorithm. The algorithm is able to learn a suitable reaction to pittings that increase linearly or progressively at an early stage and therefore delays their growth within the defined limits. Thus, the lifetime of the gearbox is extended while maintaining the same total power of the gearbox. As an outlook, the results will be examined for their sensitivity on several influencing factors in a further study. The wider view is to use this simulation on a test rig and validate the results.
An Introduction to UML Profiles

GRADE is also published in Spanish (full issue printed, some articles online) by NOVATICA, and in Italian (abstracts and some articles online) by the Italian CEPIS society ALSI and the Italian IT portal Tecnoteca . UP GRADE was created in October 2000 by CEPIS and was first published by NOVATICA and INFORMATIK/INFORMATIQUE, bimonthly journal of SVI/FSI (Swiss Federation of Professional Informatics Societies, ).
X Chromosome Inactivation during Grasshopper Spermatogenesis

Regulation of transcriptional activity during meiosis depends on the interrelated processes of recombination and synapsis. In eutherian mammal spermatocytes, transcription levels change during prophase-I, being low at the onset of meiosis but highly increased from pachytene up to the end of diplotene. However, X and Y chromosomes, which usually present unsynapsed regions throughout prophase-I in male meiosis, undergo a specific pattern of transcriptional inactivation. The interdependence of synapsis and transcription has mainly been studied in mammals, basically in mouse, but our knowledge in other unrelated phylogenetically species is more limited. To gain new insights on this issue, here we analyzed the relationship between synapsis and transcription in spermatocytes of the grasshopper Eyprepocnemis plorans. Autosomal chromosomes of this species achieve complete synapsis; however, the single X sex chromosome remains always unsynapsed and behaves as a univalent. We studied transcription in meiosis by immunolabeling with RNA polymerase II phosphorylated at serine 2 and found that whereas autosomes are active from leptotene up to diakinesis, the X chromosome is inactive throughout meiosis. This inactivation is accompanied by the accumulation of, at least, two repressive epigenetic modifications: H3 methylated at lysine 9 and H2AX phosphorylated at serine 139. Furthermore, we identified that X chromosome inactivation occurs in premeiotic spermatogonia. Overall, our results indicate: (i) transcription regulation in E. plorans spermatogenesis differs from the canonical pattern found in mammals and (ii) X chromosome inactivation is likely preceded by a process of heterochromatinization before the initiation of meiosis.
Measuring the perception of comfort in acceleration variation using electrocardiogram and self-rating measurement for the passengers of the automated vehicle

While the fully automated vehicle (AV) has been the future of the automotive industry, there is uncertainty regarding how the vehicle will be operating. This study aims to investigate the feeling of comfort in terms of experienced motion sickness for the AV passengers when exposed to two different automated test rides. Two sessions were performed on the real road using an instrumented vehicle. The first session was a defensive automated test ride (DATR) with relatively low acceleration forces. The second session was an assertive automated test ride (AATR) with stronger acceleration forces. Electrocardiogram (ECG) and self-rating questionnaires were used to investigate the relation between them when given forces variation. Statistically significant ( p <0.05) increases were found when comparing the before and after self-rating motion sickness score for the AATR, whereas no statistically significant ( p <0.05) increases were found for the DATR. For the discomfort rating, the level of perceived comfort remained almost constant throughout DATR. Whereas for the AATR, an approximately linear increase in the feeling of discomfort was found. The physiological variations (ECG) could not accurately predict the subjective comfort based on the statistical analysis results. The linear regressions suggest that forces resulted from driving should be kept as low as possible to improve the AV riding experience.
COMPARISON OF DIFFERENT ASSESSMENT MODELS OF INSULIN RESISTANCE IN ROMANIAN OBESE PATIENTS

Insulin resistance is either an associated condition or is considered to be a predictor or pathogenic factor in various human pathological states such as type 2 diabetes mellitus, glucose intolerance, obesity, polycystic ovary syndrome, essential hypertension, metabolic syndrome and, more recently, atherosclerosis. The standard method for the evaluation of insulin resistance is the euglycemic hyperinsulinemic clamp technique. Direct determination of insulin sensitivity with the hyperinsulinemic-euglycemic clamp technique is laborious and impractical in large human studies. Since it is important to have accessible methods to estimate insulin secretion and sensitivity in the human body, mathematical models for the evaluation of insulin resistance have been developed. The main purpose of our study was to assess the relevance of different mathematical models for the evaluation of insulin resistance in the biochemical evaluation of a group of Romanian obese patients. Our results show that the homeostasis model assessment parameters (HOMA) and the Quicki test (Quantitative insulin sensitivity check index) vary significantly in correlation with both weight and glucose level in a group of Romanian subjects. Rezumat Rezistenţa la insulină reprezintă, fie un factor predictiv sau patogenic, fie un fenomen patologic asociat in numeroase afecţiuni complexe cum ar fi diabetul zaharat de tip 2, intoleranţa la glucoză, obezitatea, sindromul ovarian polichistic, hipertensiunea esenţială, sindromul metabolic si conform cercetărilor recente, ateroscleroza. Metoda standard de evaluare a rezistenţei la insulină este tehnica euglycemic hyperinsulinemic clamp. Această metodă este laborioasă si nu poate fi aplicată in studii clinice extinse. Deoarece este important să existe metode accesibile de evaluare a rezistenţei la insulină, au fost create modele matematice pentru cuantificarea acestui fenomen. Principalul scop al prezentului studiu a fost acela de a testa relevanţa unor modele matematice de evaluare a rezistenţei la insulină in contextul evaluării biochimice a unui grup de pacienţi obezi din România. Rezultatele evidenţiază faptul că parametrii modelului de homeostazie glucidică si testul Quicki variază semnificativ in raport cu greutatea corporală si respectiv cu glicemia pacienţilor selectaţi.
Passenger Car and Truck Operating Speed Models on Multilane Highways with Combinations of Horizontal Curves and Steep Grades

Operating speed prediction models have been proposed as a candidate method to assess design consistency on highways and streets. A significant number of operating speed prediction models exist for passenger cars on two-lane rural highways. Few models exist for passenger cars on multilane highways, while the literature is scant for operating speed models for trucks on multilane highways. This research uses a systems modeling approach to predict passenger car and truck operating speeds on multilane highways with combinations of horizontal curves and steep vertical grades. Mean operating speeds were modeled as a function of several geometric design features and the traffic control devices present at each study site. Further, the possible endogenous relationship between passenger car and truck speeds was investigated. The findings indicate that the radius of horizontal curve appears to have a larger influence on passenger car operating speeds than truck speeds. Vertical grades appear to have a more significant influence on truck operating speeds than on passenger car speeds. Increasing the right shoulder width is associated with higher passenger car operating speeds, but the lane width was not statistically significant in the passenger car speed models. Increasing the lane width, however, was associated with higher truck operating speeds; the right shoulder width was not associated with truck operating speeds. Higher posted speed limits were associated with higher truck and passenger car operating speeds. An endogenous relationship between truck and passenger car operating speeds was found.
An accurate cloud‐based indoor localization system with low latency

Indoor positioning systems are becoming increasing popular recently. While most existing indoor positioning studies focus on improving accuracy, less attention is paid to the latency problem. The traditional fusion algorithm uses the received signal strength‐based (RSS‐Based) positioning result to correct the current position of the system. However, it fails to keep up with the actual moving speed of the user during the navigation. The location retrospective adjustment (LRA) method proposed in this paper uses the RSS‐Based positioning result to correct the past position of the system, which can effectively eliminate positioning delay and improve the real‐time response of navigation. We tested in a 70 m linear promenade and found that the addition of LRA results in a reduction of the positioning error around −0.3 to +0.4 m, which improves 85%. Additionally, the LRA method alleviates the requirements for the immediate response of RSS positioning, and the RSS positioning algorithm can be moved to the cloud. It reduces the download resources and computing load on the mobile phone. The complete indoor navigation application is presented in HTML5 which allows users to navigate without having to download the APP in advance, and it takes only 4–9 s for users to launch the application for the first time. We tested the application in a hospital with a total floor area of 79,000 m2 in 7 buildings. The system achieves an average positioning accuracy of 0.65 m at a long navigation distance of 220 m. To our knowledge, this paper is the first to consider the latency issue in indoor navigation. The proposed LRA approach improves real‐time navigation performance, lightens the computation load on the mobile phone, and allows cloud‐based positioning systems to provide stable and accurate navigation even under poor network quality in crowded areas.
Low-Threshold, High-Power On-Chip Tunable III-V/Si Lasers with Integrated Semiconductor Optical Amplifiers

Heterogeneously integrated III-V/Si lasers and semiconductor optical amplifiers (SOAs) are key devices for integrated photonics applications requiring miniaturized on-chip light sources, such as in optical communications, sensing, or spectroscopy. In this work, we present a widely tunable laser co-integrated with a semiconductor optical amplifier in a heterogeneous platform that combines AlGaInAs multiple quantum wells (MQWs) and InP-based materials with silicon-on-insulator (SOI) wafers containing photonic integrated circuits. The co-integrated device is compact, has a total device footprint of 0.5 mm2, a lasing current threshold of 10 mA, a selectable wavelength tuning range of 50 nm centered at λ = 1549 nm, a fiber-coupled output power of 10 mW, and a laser linewidth of ν = 259 KHz. The SOA provides an on-chip gain of 18 dB/mm. The total power consumption of the co-integrated devices remains below 0.5 W even for the most power demanding lasing wavelengths. Apart from the above-mentioned applications, the co-integration of compact widely tunable III-V/Si lasers with on-chip SOAs provides a step forward towards the development of highly efficient, portable, and low power systems for wavelength division multiplexed passive optical networks (WDM-PONs).