Miracle-dz/UniFAR-FTUs huggingface dataset:
Shear Strength Enhancement of Cemented Reinforced Sand: Role of Cement Content on the Macro-Mechanical Behavior

Abstract Sands reinforced by hydraulic binders (cement) have constituted in recent decades a major asset for the expansion of several areas of engineering. The mechanical behavior of sand-cement mixtures has undergone some controversies studied on the Chlef sand. In this paper, we present an experimental study to investigate the mechanical behavior of a sandy soil reinforced by a hydraulic binder (cement), using the direct shear apparatus emphasizing on the shear strength characteristics and the vertical deformation variation of cemented reinforced sand. The parameters used in this study are mainly: relative density (Dr = 80%), normal stress (σn = 100, 200, 400 kPa), water content (3, 7 and 10%), cement content (2.5, 5, 7.5 and 10 %) and cure time (7, 14 and 28 days). The experimental results show that the mechanical characteristics in terms of internal cohesion (C) and internal frication angle (φ) give a better mechanical performance with the binder inclusion, and the cure conditions play an effective role on the improvement of the shear strength. This result also showed that 10% of the cement content gave us a maximum value of shear strength and an optimal influence on the mechanical characteristics. The addition of cement not only improves the shear strength of soil, but also provides diversity in the resistance against the deformations imposed load, which can be established by a dilatant character.
3-D Printed Monolithic GRIN Dielectric-Loaded Double-Ridged Horn Antennas

Monolithic integration of 3-D printed gradient index (GRIN) dielectric loading with a double-ridged rectangular horn standard gain horn (SGH) and its impact on antenna performance are demonstrated. Results show that the GRIN loaded horns improve sidelobe levels (SLLs) and beam symmetry, while maintaining good impedance match and relatively high radiation efficiency over more than an octave bandwidth from 7.5 to 18 GHz. Moreover, they have low weight and show good robustness to fabrication imperfections. This work paves the way for seamless integration of complex wideband antennas in 3-D printed systems such as unmanned aerial vehicles (UAVs).
Transforming Nursing Education Through Problem-Based Learning

With the growing interest in problem-based learning among nurse educators worldwide comes the need for a book that will be a comprehensive guide and resource for anyone considering its implementation in nursing education. This book is that resource. Its strength is its integration of relevant theory, research, and practical information. It is an invaluable resource for nursing faculty contemplating the use of the problem-based learning model.
Investigating factors that may contribute to absenteeism among bursary students at a selected nursing campus in KwaZulu-Natal.

AIM The purpose of this study was to investigate factors that may have contributed to absenteeism among bursary students undertaking a four-year Nursing Diploma course (R425), and the extent to which these factors impacted on students’ absenteeism at a selected nursing campus in KwaZulu-Natal. METHODOLOGY The study adopted a quantitative approach, utilizing a non –experimental descriptive design. Data were collected by means of self-administered questionnaires consisting of closed and open-ended questions. Data analyses were done using the Statistical Package for Social Sciences version 21(SPSS- 21). One hundred and twenty-six bursary students from the first year to the third year of training participated in the study. FINDINGS The study revealed that absenteeism at the nursing campus under study existed at all levels of student training, and that it occurred more in the clinical area than in the college area. Clinical factors identified included escorting very ill patients without indemnity, working late shifts (19h00) before a day off, allocation to one work area without rotation, and a lack of appreciation for a job well done and criticism. College factors such as stipend, transport problems, and lecturers and their teaching methods did not have any impact on student absenteeism.
Suicidal behaviour in Singapore

The author examines the phenomenon of suicide in Singapore. Data are presented on suicide in Singapore from 1894 to 1977 trends in suicide by sex and age methods of suicide employed and factors affecting suicide. Variations in suicide rates by ethnic groups are also analyzed and comparisons are made with suicide rates in other Asian countries (ANNOTATION)
PENGARUH BUDAYA ORGANISASI DAN KOMITMEN TERHADAP KINERJA KARYAWAN RS PUTRI HIJAU No. 17 MEDAN

Kinerja karyawan merupakan suatu perasaan yang dirasakan oleh karyawan atas usaha atau prestasi yang diperolehnya. Kinerja karyawan adalah bentuk awal untuk memperoleh tujuan dari perusahaan. Untuk memperoleh kinerja ada berbagai langkah atau faktor penentu. Penentuan sampel dalam penelitian ini menggunakan rumus slovin sampel yang diambil sebanyak 148 dari total karyawan yang berjumlah 234 karyawan. Jenis data yang digunakan adalah primer dengan metode pengumpulan data kuesioner. Teknik analisis yang digunakan adalah regresi berganda. Hasil analisis menunjukkan bahwa : budaya organisasi tidak berpengaruh signifikan terhadap kinerja karyawan pada RS Putri Hijau, komitmen berpengaruh positif dan signifikan terhadap kinerja karyawan pada RS Putri Hijau dan secara simultan budaya organisasi dan komitmen berpengaruh signifikan terhadap kinerja karyawan pada RS Putri Hijau. Kata kunci : budaya organisasi, komitmen, kinerja karyawan
Design of a Metamaterial Cavity for Harmonic Terahertz Gyrotrons

A resonant cavity is developed with a metallic photonic crystal (MPC) to reduce the magnetic field strength and suppress mode competition for a terahertz fourth-harmonic gyrotron. Due to the photonic band gap, electromagnetic waves radiated in certain directions at specified frequencies cannot propagate in the photonic crystal. The dispersion relations of MPC were numerically calculated using a finite-difference frequency-domain method. The gap map for a square lattice of metallic rods was derived from the dispersion relations as the radius of the rods varies. The map of the localized modes in the defects was plotted to illustrate the connection between the band structure and the TE modes. The MPC cavity was simulated and better performance was demonstrated in terms of mode competition compared with a circular waveguide cavity of equivalent cut-off radius at 1-THz.
Analysis and optimization of a cone flowmeter performance by means of a numerical and experimental approach

Abstract. Differential pressure flowmeters are commonly used in industrial applications where, however, the upstream flow conditions are usually highly disturbed, caused by the presence, in the network pipe, of elbows, valves, etc. To achieve accurate flow measurements, the use of the cone meter is recommended as the flowmeter has the property to normalize the flow both upstream and downstream. In this paper, the authors present a cone flowmeter of new geometry that allows them to obtain better performance with respect to the original one; in particular, it provides a higher discharge coefficient (Cd) for a wider range of operating conditions.
Train-Centric CBTC Meets Age of Information in Train-to-Train Communications

Quality of service (QoS) guarantee is critical in urban rail transit. In this paper, the train-centric communication-based train control (CBTC) systems through train-to-train (T2T) wireless communication is introduced based on the modification of LTE vehicle-to-everything (LTE-V2X). To be specific, a novel train-centric CBTC systems is established based on T2T wireless communication where distributed sensing-based semi-persistent scheduling (DS-SPS) is served as the resource allocation scheme in the T2T scenario. The quantized age of information (AoI) is used as an integrated system QoS indicator of the CBTC wireless communication systems in urban rail transit. Machine learning techniques especially Q-learning is further utilized to improve system AoI performance. Simulation results show that the proposed LTE-T2T based wireless communication systems in train-centric CBTC with Q-learning can achieve improved system AoI and peak AoI performance compared with fixed SPS policy. Furthermore, the system performance of the designed LTE-T2T based wireless communication systems in train-centric CBTC with Q-learning is shown to be better than traditional LTE-M and WLAN based wireless communication systems.
First-principles calculation of the effective on-site Coulomb interaction parameters for 
Sr2
AB
O6(A=Cr,Mn,Fe,Co,Ni
, and 
B=Mo,W)
 double perovskites

Double perovskites (DPs) are a large family of compounds that exhibit a wide range of properties of both fundamental and potential technological interest. Due to the presence of 3 d , 4 d , or 5 d transition metal atoms with narrow t 2 g and e g bands in DPs, the correlation effects play an important role for the properties of these materials, leading to diverse physical phenomena, such as colossal magnetoresistance, ferroelectricity, magnetism, and superconductivity. By employing the constrained random-phase approximation within the full-potential linearized augmented-plane-wave method, we have calculated the effective on-site Coulomb interaction parameters between localized d electrons in Sr 2 AB O 6 ( A = Cr, Mn, Fe, Co, Ni, and B = Mo, W) DPs. We ﬁnd that the correlated subspace can be deﬁned to contain only the e g states in Ni-based compounds, leading to a simple two-band low-energy model, whereas at least an eight-orbital ( d + t 2 g ) model is necessary for the other compounds. Except for Ni, the U values for A sites in Mo (W) based compounds are around 4 eV (4.5 eV), and they are almost independent of the 3 d electron number, while the U for Mo (W) t 2 g electrons slightly decreases with increasing 3 d electron number, from 3 to 2.5 eV. Moreover, our calculations reveal that the contribution of the 3 d → 3 d channel to the total electronic screening is larger in DPs than the corresponding contribution in elementary transition metals.
Multitask defect prediction

Within‐project defect prediction assumes that we have sufficient labeled data from the same project, while cross‐project defect prediction assumes that we have plenty of labeled data from source projects. However, in practice, we might only have limited labeled data from both the source and target projects in some scenarios. In this paper, we want to apply multitask learning to investigate such a new scenario. To our best knowledge, this problem (ie, both the source project and the target project have limited labeled data) has not been thoroughly investigated, and we are the first to propose a novel multitask defect prediction approach mask. mask consists of a differential evolution optimization phase and a multitask learning phase. The former phase aims to find optimal weights for shared and nonshared information in related projects (ie, the target project and its related source projects), while the latter phase builds prediction models for each project simultaneously. To verify the effectiveness of mask, we perform experimental studies on 18 real‐world software projects and compare our approach with four state‐of‐the‐art baseline approaches: single‐task learning (STL), simple combined learning (SCL), Peters filter, and Burak filter. Experimental results show that mask can achieve F1 of 0.397 and AUC of 0.608 on average with a few labeled data (ie, 10% of data). Across the 18 projects, mask can outperform baseline methods significantly in terms of F1 and AUC. Therefore, by utilizing the relatedness among multiple projects, mask can perform significantly better than the state‐of‐the‐art methods. The results confirm that mask is promising for software defect prediction when the source and target projects both have limited training data.
Magnetically induced/enhanced coarsening in thin films

External magnetic fields influence the microstructure of polycrystalline materials. We explore the influence of strong external magnetic fields on the long time scaling of grain size during coarsening in thin films with an extended phase-field-crystal model. Additionally, the change of various geometrical and topological properties is studied. In a situation which leads to stagnation, an applied external magnetic field can induce further grain growth. The induced driving force due to the magnetic anisotropy defines the magnetic influence of the external magnetic field. Different scaling regimes are identified dependent on the magnetization. At the beginning, the scaling exponent increases with the strength of the magnetization. Later, when the texture becomes dominated by grains preferably aligned with the external magnetic field, the scaling exponent becomes independent of the strength of the magnetization or stagnation occurs. We discuss how the magnetic influence change the effect of retarding or pinning forces, which are known to influence the scaling exponent. We further study the influence of the magnetic field on the grain size distribution (GSD), next neighbor distribution (NND) as well as grain shape and orientation. If possible, we compare our predictions with experimental findings.
Nomogram construction to predict dyslipidemia based on a logistic regression analysis

ABSTRACT Dyslipidemia is a chronic disease requiring continuous management and is a well-known risk factor for cardiovascular diseases as well as hypertension and diabetes. However, no studies have so far visualized and predicted the probability of dyslipidemia. Hence, this study proposes a nomogram based on a logistic regression model that can visualize its risk factors and predict the probability of developing dyslipidemia. Twelve risk factors for dyslipidemia are identified through a chi-squared test. We then conduct a logistic regression analysis with two interaction variables to obtain a model and build a nomogram for dyslipidemia. Finally, we verify the constructed nomogram using a receiver operation characteristic curve and calibration plot.
Open Complementary Split-Ring Resonator Sensor for Dropping-Based Liquid Dielectric Characterization

A microwave sensor with a coplanar waveguide semilumped meander open complementary split-ring resonator (MOCSRR) is proposed to analyze the dielectric properties of liquid. The proposed method operates at subgigahertz frequencies and uses a small volume of liquid (>0.08 mL) on a substrate-integrated slot container. A resonance reflection coefficient notch frequency and its magnitude in decibels are observed for complex permittivity ( $\varepsilon'+j \varepsilon $ ”) characterization. A strong electric field distributed on the edge of the designed MOCSRR slot provides a sensitive compact area to detect small variations in the liquid sample or concentration. Operations need not be constrained to micropipette operations or microfluidic channel fabrication. A specific volume of the sample liquid must be dropped in the detection zone to analyze complex permittivity. To test the proposed methods, binary mixtures of ethanol and water were loaded, and a 58.7 MHz shift in resonant frequency and a variation of 6.77 dB were attributed to a complex permittivity perturbation phenomenon when ethanol concentration was varied from 0% to 100%. Different concentrations of ethanol and liquid were evaluated and analyzed. The proposed sensor exhibited repeatability and easy operation in detecting liquids with high relative permittivity, such as water and lossy liquids.
Awareness regarding diarrhea, its prevention, and oral rehydration therapy among mothers of under-five children in urban slums of Bengaluru -

Background: Diarrhea is the second most important cause of under-five mortality globally in spite of it being easily preventable and curable. This is largely due to the lack of knowledge among mothers regarding cost-effective interventions tackling diarrheal diseases. Objective: To assess the awareness about diarrhea, its prevention, and oral rehydration therapy (ORT) among mothers of under-five children in urban slums of Bengaluru, Karnataka, India. Materials and Methods: It was a cross-sectional study conducted among 280 mothers of under-five children in urban slums of Bengaluru. The data were collected using pretested semi-structured questionnaire administered to eligible mothers using personal interview method. Descriptive statistics and tests of significance were used in analysis of data using Epi Info software, version 7. Result: Of 280 mothers interviewed, less than one-fourth (24.3%) knew the correct meaning of diarrhea, with three-fourths (73.8%) of them not knowing the correct cause of diarrhea. Only 44.3% mothers knew that diarrhea can be prevented. Majority (88.7%) did not know to look for signs of dehydration. Less than half of the mothers had heard of ORT. By using X2-test, preparation of oral rehydration salts (ORS) was found to be associated with the education of the mother (p = 0.04) proving that knowledge is better among those mothers with formal education. No association was found between ORS preparation and age of the mother (p = 0.229), religion (p = 0.342), and gender of the child (p = 0.061). Conclusion: Awareness regarding diarrhea, its prevention, and ORT was found to be lacking among mothers in urban slums.
Cumulant-Based 2-D Direction Estimation Using an Acoustic Vector Sensor Array

This paper proposes a new acoustic vector sensor array geometry containing a sparse right triangular subarray with three guiding vector sensors plus an additional subarray with arbitrarily placed vector sensors at unknown locations and develops a new cumulant-based algorithm for two-dimensional direction estimation (CADE) of multiple non-Gaussian signals. In the CADE algorithm, three cumulant matrices are defined to form a third-order tensor, using which the direction cosines of the signal are recovered by utilizing parallel factor (PARAFAC) fitting. Furthermore, the PARAFAC model is extended to multiple cumulant matrices and a fourth-order tensor framework to enhance the identifiability issues and to improve the performance of the algorithm. Unlike most of the existing acoustic vector sensor direction estimation algorithms, the proposed algorithm imposes less geometric constraint on the array shape and requires no open-form two-dimensional searching and parameter pairing. Simulation results demonstrate the superiority of the CADE algorithm.
Mindfulness-Based Elder Care: A CAM Model for Frail Elders and Their Caregivers

Preface Foreword Section One: Foundations 1. A Box for Father: Healthcare and Nursing Homes What is healthcare? Trends in aging and healthcare What are the alternatives? Elements of care provision What we value 2. Learning from the Inside Out: Mind-Body and Mindfulness-Based Interventions Mindfulness Mindfulness-Based Stress Reduction and other Mindfulness-based programs Mindfulness practices Other informal practices Practice Embracing our stress 3. Knock, Knock: Complementary and Alternative Medicine Overview Aromatherapy Hand massage Creative therapy Humor Three Old Men Other CAM modalities Section Two: Practical Applications of MINDFULNESS-BASED ELDER CARE for Frail Elders.
Tourette's syndrome and tic disorders : clinical understanding and treatment

DIAGNOSIS AND NATURAL HISTORY: Descriptive and Diagnostic Classification of Tic Disorders The Natural History of Tourette's Syndrome CLINICAL FEATURES: Obsessive-Compulsive Symptoms in Tourette's Syndrome Stereotyped and Self-Injurious Behaviors in Disorders Other Than Tourette's Syndrome PSYCHOSOCIAL AND BEHAVIORAL PERSPECTIVES: Family Functioning and Tourette's Syndrome Intrapsychic Processes and Adjustment in Tourette's Syndrome PHARMACOTHERAPY: Treatment of Tic Disorders with Haloperidol Pimozide in the Treatment of Tourette's Syndrome.
THE EFFECT OF STRATEGIC LEADERSHIP, ORGANIZATIONAL CULTURE, AND LEARNING ORGANIZATION ON GOOD CORPORATE GOVERNANCE AND ORGANIZATIONAL PERFORMANCE IN AGENCY OFFICE OF PT AIA FINANCIAL EAST INDONESIA AREA.

Santoso 1 , Prof. Drs. Ec. Budiman Christiananta 2 and Lena Ellitan 3 . Widya Mandala Catholic University Surabaya, School of Post Graduate, Surabaya, Indonesia. Manuscript Info Abstract . Manuscript History Received: 06 June 2019 Final Accepted: 08 July 2019 Published: August 2019
Roles and Functions of the Rehabilitational Nurse Practitioner Expected by Nurses and Doctors in Rehabilitation Hospital

Purpose: This study aims to identify the role and function of the RNP(rehabilitational nurse practitioner) expected by nurses and doctors. Method: This study was a survey. The data were collected 188 nurses and 21 doctors who worked for disabled patients in the rehabilitation hospital during months of June, 2004 and August, 2005. Results: 98.4% of nurse and 61.9% of doctors agreed at opening of RNP course. The major role of RNP expected by nurses were educator, counsellor and case manager. The major role of RNP expected by doctors were direct care, self care promoter & exercise and emotional care. There was a significant difference about the need for opening of RNP course and major role and function of RNP between the group of nurses and doctors. Conclusion: The results of this study showed that the need for opening of RNP was identified and the major role of RNP was educator, counsellor, case manager and direct care. So there is a need for further research about major role of RNP related to various setting including rehabilitation hospital, nursing home, home care etc.
WiAct: A Passive WiFi-Based Human Activity Recognition System

Nowadays, human behavior recognition research plays a pivotal role in the field of human-computer interaction. However, comprehensive approaches mainly rely on video camera, ambient sensors or wearable devices, which either require arduous deployment or arouse privacy concerns. In this paper, we propose WiAct, a passive WiFi-based human activity recognition system, which explores the correlations between body movement and the amplitude information in Channel State Information (CSI) to classify different activities. The system designs a novel Adaptive Activity Cutting Algorithm (AACA) based on the difference in signal variance between the action and non-action parts, which adjusts the threshold adaptively to achieve the best trade-off between performance and robustness. The Doppler shift correlation value is used as classification features, which is extracted by using the correlation of the WiFi device’s antennas. Extreme Learning Machine (ELM) is utilized for activity data classification because of its strong generalization ability and fast learning speed. We implement the WiAct prototype using commercial WiFi equipment and evaluate its performance in real-world environments. In the evaluation, WiAct achieves an average accuracy of 94.2% for distinguishing ten actions. We compare different experimental conditions and classification methods, and the results demonstrate its robustness.