Miracle-dz/UniFAR-FTUs huggingface dataset:
Jute Seed Yield Response to Irrigation and Nitrogen Fertilization in Field-Grown Environment

The experiment focuses the optimum utilization of irrigation water and fertilizer application on Jute seed production. Four irrigation treatments and four nitrogen doses were tested on jute (var. O-9897) in Jute Agriculture Experimental Station (JAES), Manikganj, Bangladesh during the late Jute season. The highest seed yield of 745.50 kg/ha was obtained from 30 days of irrigation with the application of 100kg N/ha. The lowest seed yield 236.75 kg/ha was obtained from no irrigation and no fertilizer application. Irrigation at 45 days and 30 and 60 (twice irrigation) days didn’t show better seed yield compared to 30 days of irrigation treatment.
INTER AND INTRASPECIFIC RELATIONSHIPS

We studied social relationships in Akodon azarae and Calomys laucha (Rodentia, Sigmodontinae), species that inhabit agroecosystems of Central Argentina. They show spatial segregation under field conditions, being C. laucha more abundant in the cropfields and A. azarae in their weedy margins (borders). In order to assess whether this spatial segregation was related to behavioral patterns, we conducted experimental encounters between individuals of the same and different species, under three different conditions: simulating borders, simulating fields and with a neutral substrate. The first two types of experiments were conducted in enclosures (4 x 2 x 1 m) located at the site of capture of rodents, while in laboratory trials we used glass boxes of 51 x 51 x 30 cm. Observations were conducted between 21 and 02 hours, corresponding to the activity period of animals. According to our results, A. azarae individuals were dominant over C. laucha, but there was a low frequency of agonistic interactions. A. azarae was more aggressive both intra and interspecifically. There was not a significant effect of sex or substrate on the results of the encounters, although we found differences in the frequencies of many behaviors. RESUMEN. Relaciones inter e intraespecíficas entre Akodon azarae y Calomys laucha (Rodentia: Sigmodontinae) en agroedosistemas pampeanos . Se estudiaron las relaciones sociales entre Akodon azarae y Calomys laucha (Rodentia: Sigmodontinae), especies que habitan los agroecosistemas en la Región Central de Argentina. Estas especies muestran una distribución espacial determinada, siendo A. azarae más abundante en los bordes de los campos y C. laucha en los campos de cultivo. Para conocer si esta segregación espacial está relacionada con patrones comportamentales se realizaron encuentros experimentales entre individuos de la misma o distintas especies bajo tres tipos de condiciones experimentales: simulando el borde de los campos, simulando los campos y en un sustrato neutro (laboratorio). Los dos primeros tipos de experimentos fueron realizados en clausuras (4 x 2 x 1 m), localizadas en el sitio donde se capturaron los roedores, mientras que en los enfrentamientos de laboratorio se utilizó una caja de plástico (51 x 51 x 30 cm). Las observaciones se realizaron entre las 21 y 2 hs, correspondiendo con el período de actividad de los animales. De acuerdo con nuestros resultados, los individuos de A. azarae fueron dominantes sobre los de C. laucha, pero hubo una baja frecuencia de interacciones agonísticas. A. azarae fue más agresivo tanto en los enfrentamientos intra como interespecíficos. No hubo un efecto significativo del sexo o el sustrato sobre el resultado de los encuentros, sin embargo variaron las frecuencias de algunos comportamientos.
JOB BURNOUT AND PERFORMANCE OF STAFF NURSES IN SELECTED HOSPITALS IN METRO MANILA

This study was conducted to determine the job burnout and performance of staff nurses in selected tertiary hospitals in Manila using the Oldenburg Burnout Inventory. Results showed that there’s: a high degree of agreement in relation to burnout of the staff-nurses in terms of exhaustion and disengagement; an average level of performance of the staff nurses in terms of task performance, contextual performance and counter-productive behavior; significant differences between the degrees of agreement in relation to job burnout of the staff-nurses (disengagement and exhaustion) when they are grouped according to nurse-patient ratio and census per area, and no significant differences for the rest of the profile variables except when group according to age in terms of exhaustion; a significant difference between the levels of performance of the staff nurses when grouped according to length of work experience as nurse practitioner as to task performance, contextual performance and overall performance; when they are grouped according to nurse-patient ratio as to task performance; when they are grouped according to census per area as task performance and counterproductive work behavior; significant relationships between the degree of agreement in relation to job burnout (disengagement) and overall level of performance of the staff nurses.
Dual Band Flower Shaped Fractal Patch Antenna for Remote Health Monitoring

Antennas for wireless applications are on huge demand. In this paper, a 16mm x 31 mm flower-shaped fractal patch antenna is designed and simulated using CST software. The designed antenna operates in 2.45 GHz frequency band called industrial, scientific and medical band (ISM band) and 5.55 GHz band. Designed antenna’s reflection coefficient, VSWR, surface current, gain, and far-field plot are simulated and observed. The designed antenna provides 630 MHz bandwidth in dual-band. This antenna is miniaturized and compacted to be utilized as a dual-band antenna for ISM band and WiMAX services. The presented antenna in this paper is having applications in patient’s remote health monitoring.
Matrix Decomposition Methods for Efficient Hardware Implementation of DOA Estimation Algorithms: A Performance Comparison

Matrix operations form the core of array signal processing algorithms such as those required for direction of arrival (DOA) angle estimation of radio frequency signals incident on an antenna array. In this paper, we present a performance comparison of matrix decomposition methods for efficient FPGA hardware implementation of DOA estimation algorithms. These methods are very important in subspace-based DOA estimation algorithms as they are used for signal space extraction. DOA estimation algorithms employing LU, LDL, Cholesky, and QR decomposition methods are implemented on a Xilinx Virtex-5 FPGA. These DOA estimation algorithms are simulated in LabVIEW as well as experimentally validated in real-time on a prototype testbed constructed using Universal Software Radio Peripheral (USRP) Software Defined Radio (SDR) platform from National Instruments. Performance comparison of these algorithms is made in terms of resources consumption, computation speed, and estimation accuracy.
An Indoor Low-Cost and High-Accuracy Localization Approach for AGVs

Demanding for warehousing automation and intelligence is critical with the rapid development of information and big data teleology. In most storehouses, cargos are mainly carried by Automatic Guided Vehicles (AGVs) or even manpower. Most AGVs follow predefined paths that are normally paved by some marks detected by AGVs. It largely limits the application of AGVs. Some AGVs relies on highly accurate Light Laser Detection and Ranging (LiDAR) devices for navigation. The paper presents a low-cost localization approach for indoor AGVs with the localization accuracy up to centimetres. The proposed method not only allows an AGV to move precisely without any predefined paths, but also reduces the cost largely. The Ultra Wide Band (UWB) technology is used in our approach. In the paper, a gradient decent method cooperated with a least square method is developed to deal with the nonlinearity of UWB ranging data. An optimal localization result is achieved within a small amount of iterations. The positioning results are also compared to a high-accuracy Real-Time Kinematic (RTK) satellite system. Meanwhile, the approach is able to diagnose the original UWB data and will discard any data corrupted by non-ignorable noises. Thus, the robustness is guaranteed.
Race and Post-acute Stroke Recovery: More Similarities than Differences

Race is a significant variable in terms of some health outcomes. Research has produced mixed findings in regards to the influence of race membership and rehabilitation outcomes from cardiovascular insults. More extensive research focused on traumatic brain injury (TBI) has found significant racial differences in post-injury recovery outcome. Stroke rehabilitation research has noted similar findings. However, such differences in functional outcomes were largely predicted by demographic characteristics such as age, education, and socioeconomic status, as well as injury and environmental parameters. The current archival study compared rehabilitation outcomes across two demographically comparable racial/ethnic groups (i.e., Whites of non-Hispanic origin, and Blacks) with a hypothesis that in a sample that does not widely vary in key demographic confounds (age, education, premorbid job status, substance use), there may still be significant racial differences in rehabilitation outcomes. The participants included 317 individuals (White = 224, Black = 93) who had suffered a cerebrovascular incident (CVA) within three months prior to initiating rehabilitation at an urban outpatient multidisciplinary brain injury rehabilitation program. The two racial groups were comparable in terms of mean age (46.3 vs. 48.3), education level (14.4 vs. 15.4), premorbid employment (76.9% vs. 74.2%), and substance use (19% vs. 21.9%), as well as disability severity as measured by admission Mayo Portland Adaptability Inventory (44.6 vs. 45.9). Admission MPAI-4 scores revealed that both groups began treatment with mild limitations in the areas of ability and adjustment as well as mild to moderate interference with community participation. Comparative data via ANOVA indicated that although both groups appeared to have significantly benefitted from rehabilitation, there were no statistically significant differences in the discharge MPAI scores between the two groups. The two groups also did not significantly differ with regard to the MPAI change scores (admission minus discharge). Results suggest that early (within six months post CVA) rehabilitation outcomes measured by MPAI-4 are far more similar than different for these two racial groups, when the groups are comparable on key demographic variables. These findings are consistent with previous research on the topic. Limitations of this study include higher than average educational level of participants, limited outcome measures, and limited racial representation.
Memristive Element with Multiple Internal State Variables Functional Model for Computer Based Analysis and Hardware Emulation of Pulsed Neural Adaptive Networks

A functional model of a memristive element (ME) with multiple internal state variables (ISV) is proposed. The dynamics of each of the ME ISV is determined by functional transformations of the ME input stimulus by the corresponding integral and differential form and time constant. ME functional model can be efficiently implemented in modern CAD systems based on a limited number of library components and allowing simple hardware emulation. Theoretical and experimental study of the proposed model with two ISVs and its hardware emulation for the mimicry of the sodium ion channel in the development of pulse neuron adaptive networks showed its adequate response to external influences, similar to the Hodgkin-Huxley model. Truncations of this model to the first order (1C1R1MOS) with one ISV exhibit the property of forward and reverse memristivity, can be applied to mimicry of potassium ion channels.
A Study on Varies Temperature and Varies Gap Distance on Mixed Vegetable Oil as a Transformer Oil

Natural ester oil is one of the alternative materials that can be used to increase the supply of transformer oil. This research discloses the investigation of breakdown voltage of mixed oil virgin coconut oil (VCO) with refined, bleached and deodorized palm kernel oil (RBDPKO) under the effect of different temperature and different gap distance. The test was organized based on the guideline in IEC 60156 standard for AC supply under uniform field (sphere-sphere). The ratio of mixed oils in this experiment are 0% VCO, 20% VCO, 40% VCO, 60% VCO, 80% VCO and 100% VCO. The result indicates that, the ratio of 20% VCO was the highest breakdown voltage for mixed oil at different temperature which was 48.7 kV (40°C) and 57.9 kV (80°C). The increasing of the temperature and the distance gap gave impact on the breakdown strength.
3D U-Net: Fully Convolutional Neural Network for Automatic Brain Tumor Segmentation

A principal problem in brain tumor-related diagnosis, monitoring and treatment is the assessment of the tumor area and location. Automatic segmentation is attractive in this context, as it grants us a faster approach and potentially more accurate description of tumor parameters. In this paper, we have proposed a semantic segmentation technique to 3D MRI images based on popular U-net architecture which is a Fully Convolutional Network (FCN) and robust algorithm. Our presented network is evaluated on the Multimodal Brain Tumor Image Segmentation (BRATS 2015) dataset, which contains 274 people’s brain MRI images. We have used soft dice loss function to subsist with class disparities and augmented the data to prevent overfitting. Cross-validation of tumor segmentation has also displayed that our model architecture can get promising segmentation efficiently than other popular architectures with a dice score of 0.79 for the whole tumor.
EFFECT OF COMBINING LOSARTAN AND PERINDOPRIL IN DIABETIC PATIENTS WITH PROTEINURIA

Â Â Objective: This retrospective study compared the efficacy and safety of losartan monotherapy versus losartan and perindopril combination therapy in diabetic patients with hypertension and albuminuria. Factors affecting the change in albuminuria were identified.Methods: Through quota sampling, the study recruited patients from a tertiary care hospital. Outcome parameters included urinary albumin creatinine ratio (UACR), blood pressure (BP), serum creatinine, and estimated glomerular filtration rate (eGFR). Both pre- and post-treatment measurements were traced from patientâ€™s medical records.Results: No significant differences (p=0.615) were detected in the pre- and post-treatment change in UACR between the monotherapy group (âˆ’38.3 mg/g, interquartile range [IQR]:âˆ’618.8-0) and combination therapy group (âˆ’88.4 mg/g, IQR: âˆ’729.3-+375.7). There was a considerably higher percentage of patients attaining the target BP of <125/75 mmHg in the combination group (66.7%; p<0.001). In terms of safety, combined losartan and perindopril caused more hypotension (p=0.003), higher rise in serum creatinine (p=0.481), and greater drop in eGFR (p=0.861). Body mass index was shown to have significant negative correlation with UACR reduction (r=âˆ’0.449; p=0.036). Conclusion: The main finding of this study was that losartan alone was as equally efficacious as combined losartan and perindopril in lowering UACR and BP among diabetic patients. Â
Study of Microstrip Slotted EH2-Mode Leaky Wave Antenna from Circuit Perspective

This paper studies the effects of transversally-loaded slot and longitudinally-loaded slot on the microstrip second higher order mode leaky-wave antenna from a circuit perspective. The transversally-loaded slot array introduces a radiation beam with $\theta$-polarization through the enhancement of the cross polarization, while the longitudinally-loaded slot array can effectively reduce the dual $\phi$-polarization radiation beams due to the field cancellation. As a result, the single radiation beam can be obtained when the I-shaped slot array is mounted along the microstrip leaky-wave radiation strip under the second higher order mode excitation. As a model analysis, the equivalent $\pi$-circuit is established and extracted to understand the loading effect of periodic properties. The results show that the transversal slots mainly work as a series impedance, while the longitudinal slots contribute to the shunt admittance. The obtained circuit model successfully explains the physical insides of the propagation constant and the radiation characteristics.
System for Automatic Representation of Correlation Rhythmogram Dynamics of Long-Term ECG Signal Recordings

In clinical practice, 24-hour monitoring of ECG records is often used to study heart rhythm. One of the methods for analyzing long-term ECG signal recordings is to present the signal in the form of a correlation rhythmogram. Using the analysis of scatterograms, static information is obtained, the processing of which gives primitive features and not enough information. These features are unable to describe the dynamic change in RR-intervals, which contains useful information about the nature of the heartbeat. We developed a system that allows to represent signals of long-term ECG recordings as a dynamic correlation rhythmogram. The algorithm allows to view the change in the dynamics of the heartbeat for 24 hours in a time less than 1 minute. Using our development as a tool for visualizing dynamic information of RR-intervals, specialists can extract unique information about the nature of the heartbeat and classify heart disorders with high accuracy.
Diagnosis in buildings: New trends illustrated by an application

Similar to other engineering systems, buildings are also complex systems. The whole building system is highly vulnerable to different kinds of faults, failures and human misbehavior that could affect the building performance. The available fault diagnosis tools and methodologies particularly rely on rule or pure model-based approaches. It is assumed that the model could be applied to any situation without taking into account actual contexts. Setting a complete model with all contextual representations is a challenging job. On the other hand, unreliable instrumentation and non-formalization of the expert’s knowledge are also challenging ones. The objective of this paper is to highlight the challenges that lie in this problem domain, as well as to provide a strategy about how to solve them.A real case study has been investigated to exemplify the new trends in buildings: a classroom in the University of Southern Denmark.
Switching Mechanism and Analysis of Memristor Model Parameters

In this paper, we propose a method of analyzing the switching behavior of a general SPICE memristor model in order to extract its internal parameters and their impact on the device. Our simulation results demonstrate the correlation of the model for several input voltages with various amplitudes and shapes for various memristors devices by modeling the setting parameters. Thus, we measure the amount of the area of the pinched hysteresis loop for a parametric sweep for a specific domain. Each parameter has an independent impact on the I-V characteristic, which indeed affects the linearity and switching behavior of the device. Therefore, this analysis prove the flexibility and efficiency of the model.
MRAS type-2 fuzzy logic observer and controller for robust speed sensorless induction motor

This paper deals with MRAS Speed sensorless Vector Control of Induction motor, where the adaptive mechanism include two parallel loops having Type-2 Fuzzy Logic Controller (T2FLC) and low-pass filter. The main advantage of this controller is the consideration of the uncertainties in the linguistic rules of the estimated models. The stability of the closed loop is guaranteed by the Lyapunov function, and the robustness face to parameter variation at low speed range is proven. The simulation results show the effectiveness of our new approach.
An Improved Potential Game Theory Based Method for Multi-UAV Cooperative Search

Unmanned Aerial Vehicle (UAV) has been widely used in a variety of application, and the target search is one of the hot issues in the UAV research fields. Compared with the single UAV, the multi-UAV system can be competent for more complex tasks, with higher execution efficiency and stronger robustness. However, there exist some new challenges in the multi-UAV cooperative search, such as collaborative control and search area covering problems. To complete these tasks efficiently, the cooperative search problem is modeled as a potential game, and a modified binary log linear learning (BLLL) algorithm is proposed in this paper, to solve the covering problem using multiple UAVs. Furthermore, to improve the cooperative control performance based on potential game theory, a novel action selection strategy for UAVs is proposed. This strategy can avoid a UAV wandering around at the zero utility area by exchanging the information with neighbors. Finally, various simulations are carried out. The experimental results show that the proposed method can effectively complete cooperative search tasks and has better performance than the original BLLL algorithm.
Interfacility critical care transfers in Saudi Arabia : measuring adverse events, mortality comparison and consensus on interventions in adult critical patients transferred by paramedics

Introduction: paramedics conducting interfacility transfer of critically-ill patients is one of the existing models in interfacility transfer. The paramedic model is available in multiple countries, including the Kingdom of Saudi Arabia. Paramedics’ expanded scope of practice has allowed them to transport, monitor and intervene with complex patients. This PhD thesis is designed to evaluate the safety of the paramedic model in Saudi Arabia conducting interfacility transportation of critically-ill patients. Method: the PhD thesis is mixed methods. A systematic literature review was conducted to examine literature on the safety of paramedics in interfacility transfers. A retrospective chart review was conducted to examine the incidence, predictors and pattern of adverse events seen in interfacility transfers by paramedics in Saudi Arabia. Following this, a retrospective chart review of interfacility transfers by physicians to the same institution was conducted to compare in-hospital mortality and 30-days survival in both groups. Finally, an expert survey was conducted to examine the consensus of paramedics’ intervention to adverse events seen in interfacility critical care transfers. Results: the literature showed that the frequency of adverse events seen by paramedics in interfacility transfers ranges from 5.1% to 18%. The rate of adverse events in adult critical patients transferred by paramedics to a tertiary care facility in Saudi Arabia was 13.7%, in-hospital mortality was 30.4% and 30-days survival was 68.1%. There is no significant difference regarding in-hospital mortality or 30-days survival between the paramedic and physician models. The paramedics’ interventions in interfacility adult critically-ill patients were rated appropriate by the majority of the experts in 86.8% of cases; the probability of an intervention to be appropriate was 84.9%. Conclusion: paramedics with appropriate training and skill can safely transfer critical interfacility adult patients. The mortality outcomes in the paramedic model are comparable to the physician model.