Miracle-dz/UniFAR-FTUs huggingface dataset:
The pattern of obstructed labour among parturients in a tertiary hospital in southern Nigeria

Background: Obstructed labour is an obstetric entity which is almost never seen in the developed world but remains very prevalent in the developing world. This study aims to determine the pattern of obstructed labour in our environment as well as examine its contribution to perinatal and maternal morbidity and mortality. Methods: This retrospective study was based on analysis of medical records of 116 cases of obstructed labour who presented for delivery at the Obstetrics Unit of the University of Port Harcourt Teaching Hospital, Nigeria, from 1st January, 2004 to December 31, 2008. Data collected from the records included patients' admission diagnosis, socio-demographic data, obstetric history and outcome. Data management was done using SPSS 15.0 for Windows® statistical software. Results: The incidence of obstructed labour was 0.78%. All the patients were unbooked. Most of the parturients [65(66.4%)] were aged between 20-30 years while 57(58.8%) were nulliparous. Fifty three (55.2%) had no formal education or primary education. Unemployed housewives, petty traders, hair dressers, seamstresses or farmers comprised 87.6% of the patients. Forty seven (47.4%) babies were stillborn. Twenty nine babies (29.9%) were admitted into the Special Care Baby Unit. Thirty nine babies (40.2%) were discharged home. The perinatal mortality rate was 597 per 1000 live births. Puerperal sepsis was the commonest maternal complication [30(30.8%)]. There were seven maternal deaths giving a case fatality ratio of 7216.5/100,000. Conclusion: Obstructed labour, is still prevalent in our environment and contributes significantly to maternal and perinatal morbidity and mortality. Most of its victims are unbooked nulliparous ladies with poor socio-economic and educational backgrounds. Keywords: Obstructed labour, Outcome, Antenatal care
Real-Time Distributed Control of Low-Voltage Grids With Dynamic Optimal Power Dispatch of Renewable Energy Sources

An optimal approach to power dispatch is introduced, which combines the flexibility of distributed control with online calculation of dynamic power flow. For this purpose, an efficient linear approximation of power flow is integrated into a model predictive control framework. A distributed operation strategy is developed to indirectly control the nodal voltages as well as to determine the optimal dispatch of renewable energy generation and storage in real time. The efficiency of the approximated power flow is assessed by simulation using a realistic 40 node rural power grid. Finally, the feasibility of the distributed control is demonstrated in a real-time implementation by experimental results obtained from a hardware grid.
Factors influencing treatment preferences in the patients with acute heart failure with depressed ejection fraction

Abstract Aim. Systolic heart failure (HF) is an important health problem with considerable mortality and morbidity. We aimed to investigate factors influencing initiation (prescription) of HF drugs within the hospital. Method. Hospital records of consecutive 456 patients, hospitalized (first hospitalizations) and treated for acute HF (ejection fraction <40%) were retrospectively reviewed. In-hospital treatments were considered irrespective of previous or discharge treatments. Results. Patients with impaired renal function were administered beta blockers more frequently compared to those without impaired GFR. Functional class did not seem to influence starting of ACE inhibitors or beta blockers. Those with ischemic HF were given ACE inhibitors less frequently compared to those with nonischemic HF. Those with permanent AF were less frequently administered aspirin and ACE inhibitors compared to those without. Elderly patients (≥65 years) were not different from younger ones in terms of prescription choices including ACE inhibitor, beta blocker, and spironolactone. Patients with anemia were not different from those without anemia in terms of prescription of ACE inhibitors, beta blockers and spironolactone. Conclusion. We think that recognizing factors that drive physicians to initiate or continue drugs in systolic HF is important in making risk stratification accurately and in modifying prognosis. Keywords: Acute systolic heart failure, drugs, subgroup Ozet Amac. Sistolik kalp yetmezligi mortalite ve morbidite acisindan onemli bir saglik problemidir. Calismanin amaci, kalp yetmezligi nedeni ile hastaneye basvuran hastalarda kalp yetmezligi ilaclarinin baslanmasini etkileyen faktorleri arastirmakti. Yontem. Akut kalp yetmezligi nedeni ile ilk kez hastaneye basvuran ejeksiyon fraksiyonu < % 40 altinda olan 456 ardisik hastanin hastane kayitlari retrospektif olarak incelendi. Hospitalizasyon sirasindaki tedaviler, daha onceki tedavilerden ve taburculuk sirasindaki tedavilerden bagimsiz olarak degerlendirildi. Bulgular. Beta bloker kullanimi renal fonksiyonlari bozuk olan hastalarda GFR si normal olan hastalara kiyasla daha fazla idi. ACE inhibitorleri ile beta blokerlerin baslanmasinda fonksiyonel kapasitenin bir etkisi yoktu. Iskemik kalp yetmezligi olan hastalarda ACE inhibitoru kullanimi iskemik olmayan kalp yetmezlikli hastalara gore daha azdi. Permanent AF si olan hasta grubunda olmayan hastalara kiyasla aspirin ve ACE inhibitorlerinin kullanimi daha dusuktu. ACE inhibitoru, beta bloker ve spiranalakton kullanimi acisindan yasli (≥ 65 yas) ve genc hastalar arasinda fark yoktu. ACE inhibitoru, beta blokor ve spiranalakton recete edilmesinde anemisi olan ve olmayan hastalar arasinda fark saptanmadi. Sonuc . Sistolik kalp yetmezliginde ilac baslanmasini ve tedavinin devamini etkileyen faktorlerin fark edilmesi hastalarin risklerinin belirlenmesinde ve prognozun degistirilmesinde onemli bir etken olabilir. Anahtar sozcukler: Akut sistolik kalp yetmezligi, ilaclar, altgruplar
Auditory Space Perception Influenced by Visual Spatial Information

It is well known that there are many situations where auditory and visual perception cannot be regarded as independent processes. This article aims to explore whether the subjective perception of the auditory spatial size is affected by visual spatial information. Static pictures which reflect different spatial size were used as visual spatial stimuli, and audio signals with different reverberation time were used as auditory spatial stimuli in subjective experiments. Results of visual-auditory mode and auditory-only mode were discussed and compared. Experimental results showed that visual spatial information had significant effect on auditory space perception, especially in judging the medium size of the auditory space. Further analysis indicated that the judgments of auditory spatial size perception were induced by the visual stimuli when judging the large size and small size of the auditory space. What's more, the influence of the subjects' gender and listening experience were analyzed, it was found that there was no significant difference.
Fault Classification and Voltage Sag Parameter Computation Using Voltage Ellipses

Fault classification and voltage sag parameter computation using voltage ellipses in Clarke's domain are presented in this paper. The voltage sag parameters computed were the point-on-wave of initiation and recovery, residual voltage, and phase-angle jump. A change in the phase reference in Clarke's transformation was proposed to simplify the fault classification procedure. The point-on-wave of initiation and recovery were defined based on the reference circle in Clarke's domain, as described by the system during normal operation. The residual voltage and phase-angle jump were computed using the expressions of <inline-formula><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula> components in Clarke's domain and trigonometric theorems. The proposed fault classification and voltage sag characteristics computation were applied to real data provided by the Department of Energy and the Electric Power Research Institute. From the results obtained, it is concluded that the zero-sequence component must be taken in consideration to compute the residual voltage and the phase-angle jump correctly, and to use these results to improve the accuracy of impedance-based fault location methods. The proposed fault classification algorithm is capable of classifying events and computing the residual voltage and phase-angle jump. Additionally, the voltage sag duration of short events and multistage events was successfully computed. This work is an incremental contribution within the field of voltage sag analysis in the time domain using Clarke's transformation.
Neural Networks for Automated Smart Health Platforms oriented on Heart Predictive Diagnostic Big Data Systems

The proposed study is related to an experimental application of a multilayer perceptron (MLP) artificial neural network (ANN) oriented to predictive diagnostic and to automated patient monitoring in homecare assistance. By means of a control room it is possible to check periodically the heart rate of patient sending data from home. The ANN-MLP model is designed and developed by a KNIME workflow providing heart rate prediction with a good data processing performance. The paper describes all the steps of the data processing by highlighting the procedures to read the workflow outputs according with optimal heart rate values. The ANNMLP predictive diagnostic model is suitable to dehospitalization process enabling telemedicine and smart sensors able to measure patient physiological data. Finally, the paper provides solutions for big data system integration.
Arrhythmogenic Right Ventricular Cardiomyopathy: From Surviving to Thriving

Arrhythmogenic right ventricular cardiomyopathy is a life-threatening, inherited disease, and a leading cause of sudden cardiac death in young, otherwise healthy adolescents and adults. Through the advances of modern technology, those who receive this once-devastating diagnosis, now stand an excellent chance at survival through the use of medication and a life-saving device called an implantable cardioverter defibrillator. However, living under the peril of life-threatening arrhythmias and life-saving shocks can cause considerable psychosocial disturbances, and potentially contribute to diminished medical outcomes. Though living with a chronic, life-threatening illness poses many challenges, it is both possible and imperative that we provide those dealing with such a diagnosis the skills necessary to go beyond surviving to thriving. Borrowing heavily from the research and collaborative efforts from the field of positive psychology, Civilian Resilience Training is an empirically-informed set of interventions designed to protect patients with these diagnoses against psychopathology and promote their ability to be resilient in the face of the significant health crises that inevitably arise as a result of their disease, as well as the lesser day-to-day crises life brings. The program is designed to help diminish the negative effects of diagnosis, reduce disease symptomology, and encourage effective coping with defibrillator intervention, while enhancing psychosocial well-being and flourishing. It is hoped this program will serve as an interventional model to build flourishing among patient populations with other chronic diseases as well.
Introduction to the Counseling Profession

1. Counseling and Counselors: An Overview. 2. Normal Development and Adjustment. 3. Counseling: Theory and Practice. 4. The Counseling Process. 5. Group Counseling and Other Group Interventions. 6. Assessing Clients. 7. Life Career Development and Counseling. 8. Three Counseling Specialties: Couples and Family, Substance Abuse, and Gerontology. 9. Counseling in a Multicultural Society. 10. Consultation, Collaboration, and Advocacy. 11. Ethical Principles of the Counseling Profession. 12. Legal Issues in the Counseling Profession. 13. Credentialing Counselors and Program Accreditation. 14. Counselors in K-12 and Postsecondary Educational Settings. 15. Counselors in Community Agencies. 16. Research, Evaluation, and Accountability. 17. Career Issues for Counselors. 18. Issues in the Counseling Profession: Setting Future Directions. Author Index. Subject Index.
Multi-Resolution Dynamic Programming for the Receding Horizon Control of Energy Storage

A multi-resolution approach to dynamic programming is presented, which reduces the computational effort of solving multistage optimization problems with long horizons and short decision intervals. The approach divides an optimization horizon into a series of subhorizons, discretized at different state space and temporal resolutions, enabling a reduced computational complexity compared to a single-resolution approach. The method is applied to optimizing the operation of a residential energy storage system, using real 1-min demand and rooftop PV generation data. The multi-resolution approach reduces the required computation time, allowing optimization to be rerun more frequently, increasing the robustness of the receding-horizon-control approach to forecast errors. In an empirical study, this increases the cost-saving offered by a 2 kWh behind-the-meter battery energy storage system by 120% on average, compared to an approach using a single fine-grained resolution.
Discrete-Time Voltage Controller for Voltage Source Converters With LC Filter Based on State-Space Models

State-space control could provide both high dynamic performance and sufficient stability margin to voltage source converters with LC filter. However, an inherent digital delay induced by a digital control system deteriorates performance and even induces instability. In this paper, a discrete-time voltage controller is proposed based on a discrete state-space model. First, a state feedback control with a reference feedforward path is designed in the discrete-time domain with consideration for the digital delay. Second, an output current decoupling path is augmented to minimize the effects of an output current disturbance. Controller gains are derived as the functions of system parameters and design specifications, which is based on a direct pole placement and pole-zero cancellation method in a rotating reference frame. Moreover, a parameter sensitivity and digital implementation are discussed to improve the performance and stability of the proposed controller. The effectiveness of the proposed controller is verified with various experimental results. It shows that a filter resonance is well damped out while maintaining wide voltage control bandwidth.
The Phonetics and Phonology of English Casual Speech: Learning from L2 Learners

partial nasal assimilation, supporting the Articulatory Phonology approach. Many instances of categorical nasal substitution were also found, however. It is argued that a more traditional phonological feature-changing analysis better accounts for the categorical changes. Both Articulatory Phonology and traditional feature-based phonology are required to account for the full set of data.
Urban future: Unlocking Cycling with VR Applications

Understanding how infrastructures and urban environments shape the highly differentiated cycling experiences calls for further investigation. The current study addressed this challenge by employing Virtual reality (VR) applications. Quantitative methods were combined with a video simulation approach to model demand for cycling under different scenarios. VR environment mirroring the streetscape of a Dutch city was created. Environment greenness (green vs. no green), Bicycle path width (wide vs. narrow), Traffic volume (low vs. high) were manipulated. Participants had to cycle within the environments created, and thus having VR bike experience translating real world bike ride. VR experiences and cycling behaviour in response to the manipulated factors were measured.The results showed that participants enjoyed cycling most within green environment (than no green), and with wide (than narrow) bicycle lane. It was safer to cycle within wide bicycle path, and within low (than high) traffic volume. The environment was perceived as more aesthetic when cycling within green environment.Regression modelling further explored the relationship between the parameters hypothesised to influence the VR experiences. The better the naturalness and presence were perceived, the higher was the engagement. The higher the engagement was, the more the VR experience was liked.Current outcomes are unambiguous in showing that VR technology opens new avenues in addressing real-life problems with huge societal relevance, like improving urban environment infrastructure to unlock cycling and thus active transport.
Three-dimensional imaging of laser-imploded targets using X-ray computed tomography technique

An X-ray emission computed tomography technique has been demonstrated to diagnose the laser implosion uniformity of spherical targets. Three-dimensional images of a compressed core were reconstructed from five pinhole camera images obtained at different viewing directions by using an iterative algorithm. The uniformity of the heated plasma is estimated from the intensity distribution of the X-ray emitted from the surface of the target.
A Novel Speed Adaptive Stator Current Compensator for Voltage and Frequency Control of Standalone SEIG Feeding Three-Phase Four-Wire System

This paper presents the operating principle and performance of a generalized impedance controller (GIC)-based novel speed adaptive stator current compensator for voltage and frequency regulation of self-excited induction generator (SEIG) in standalone system feeding three-phase four-wire (3P4W) loads. The GIC has three one-phase full-bridge voltage source converters in 3P4W configuration with a battery bank at common dc bus. Before installing the SEIG on site, its rotor speed versus stator current characteristics is established by driving SEIG over a range of supersynchronous speeds, while the stator is connected to the ac source of rated voltage and frequency. The key aspect of this method is restoration of SEIG stator current in each phase to the pre-established speed-dependent stator current reference under unbalanced load and source perturbations. This is attained by identifying the modulation index and angle of individual GIC phase voltages using time integrals of active–reactive current amplitude errors of the respective stator phase. When these integrals attain steady value, the SEIG phase currents and voltages get restored, while the GIC operating in grid-forming mode locks the system frequency at a desired value. Integrated system model is simulated in MATLAB/Simulink to study the effects of perturbations on regulating the SEIG stator phase currents, voltages, and frequency. Efficacy of the scheme is validated experimentally by DSP-based implementation of the control algorithm.
Analysis of the Contribution of Argumentation-Based Science Teaching on Student Success and Retention

Observing the argumentation of a scientific event and understanding skill is an important component of scientific literacy. In this paper, the effect of lecturing with scientific-oriented activities in science classes on student success and the retention of knowledge has been analyzed. The study was conducted between 2006 and 2008 academic years in an elementary school in Amasya, Turkey. The study employed a quasy experimental research method. Argumentation based teaching method was used in experimental group. Traditional teaching method was used in control group. It has been found out that there was a significant different in favor of the experimental group in terms of student success and the retention of knowledge. When 8 th grade experimental groups of the two years were compared, no significant difference was detected between student success rates; however, the scores of second year 8 th grade experimental group were found to be higher.
Object detection based on Online hard examples mining with residual network

In order to detect objects more correctly in pictures, an object detection algorithm based on the Online hard example mining with residual network is put forward, which takes Faster R-CNN as a benchmark. The working method of Faster R-CNN based on deep learning is portrayed, and the drawback and improvement ways of the algorithm are analyzed. More specifically, a residual network is used to replace the original ZF or VGG network to obtain more effective deep convolution feature maps. Besides, in order to strengthen the generalization capacity of the learning network model, the network parameters with hard examples are regenerated during training to make the network training more effectively. Finally, results of the experiments on Pascal VOC2007, Pascal VOC2007+VOC2012 and BIT datasets indicate that compared with Faster R-CNN, our method improves detection accuracy by 3.5%, 7.1%, 6.4% severally on the three datasets.
Pathology of the Liver

Developmental Anatomy and Normal Structure. Pathophysiology of the Liver. Developmental Abnormalities and Liver Disease in Childhood. Metabolic Errors and Liver Disease. Iron Storage Disease. Viral Hepatitis. Other Viral and Infectious Diseases and HIV-Related Liver Disease. Alcoholic Liver Disease. Chronic Hepatitis. Liver Cirrhosis. Cholestasis : Extrahepatic Obstruction and Secondary Biliary Cirrhosis. Diseases of the Intrahepatic Bile Ducts. Diseases of the Gallbladder. Vascular Disorders. Hepatic Injury Due to Drugs and Toxins. Tumours and Tumour-Like Lesions of the Liver and Biliary Tract. Liver Pathology Associated with Diseases of Other Organs. Transplantation Pathology, Including Liver Injury in Graft Versus Host Disease and in Recipients of Renal and Other Allografts. Liver Biopsy Index
Effects of the aging time on CFL and LED lamps: experimental tests on the electrical and photometric quantities

For a decade to now, lighting with LED lamp technology has rapidly established itself in the market, both for domestic use and for industrial use, becoming in fact a viable alternative to fluorescent lamp technology. Industrial research interests focus on this LED lamp technology, which is steadily in development, presenting continuous improvements and considerable advantages compared to the fluorescent lamps. It should be noted that both technologies introduce a high harmonic content in the power supply network, and therefore represent a non-linear load for the mains. The present work aims to analyze and study the electrical and photometric characteristics of the two technologies. For this purpose eight lamp types, four CFL and four LED lamps are tested, through laboratory measurements and detailed analyses. The photometric and electrical quantities of the lamps are then detected, and subsequently the variations undergone by these quantities with the aging of the lamps are verified and discussed. The measurements of the photometric quantities are performed according to the EN 13032–1: 2004 standard, and the tests on the electrical quantities aim to evaluate the harmonic content, and check if it meets the IEC 61000–3-2 standard.