Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH LAYANAN BIMBINGAN KELOMPOK TERHADAP KOMUNIKASI INTERPERSONAL SISWAKELAS XI IPA 1 SMAN 09 KOTA BENGKULU

Penelitian ini bertujuan untuk mengetahui data komunikasi interpersonalsiswa yang tidak diberi layanan bimbingan kelompok, untuk mengetahui komunikasi interpersonalsiswa yang diberi layanan bimbingan kelompok, untuk mengetahui pengaruh kegiatan layanan bimbingan kelompok terhadap komunikasi interpersonal.Dalam penelitian ini yang menjadi analisis adalah layanan bimbingan kelompok terhadap komunikasi interpersonal siswa kelas XI IPA 1 SMAN 09 Bengkulu.Metode pendekatan yang digunakan adalah metode kuantitatif.Populasinya sebanyak 20 orang.Sampel dalam penelitian ini sebanyak 10 orang.Tehnik pengumpulan data menggunakan angket.Tehnik analisis data dalam penelitian ini menggunakan metode SPSS 20. Berdasarkan hasil analisis yang diperoleh terdapat berbagai perbedaan seperti, sampel yang sebelum diberikan pelayanan Bimbingan Kelompok memiliki rata � rata 52,5, setelah diberikan layanan bimbingan kelompok memiliki rata � rata sebesar 74,8 yang artinya terdapat peningkatan. Sehingga dapat di simpulkan terdapatpengaruh layanan bimbingan kelompok terhadap komunikasi interpersonal siswa kelas XI IPA 1 SMAN 09 Bengkulu yang hal ini dapat dilihat dari persamaan regresi yaitu Y = 70,6 + 0,07X dengan tingkat korelasi sebesar 0,998.
Study on memory characteristics of fin-shaped feedback field effect transistor

The nonvolatile and volatile memory characteristics of feedback field-effect transistors (FBFETs) with nitride charge storage layers were theoretically studied. Because of the electrons and holes stored in the nitride layer, the threshold voltage (V TH) window of 0.6 V was opened/observed. And, with the help of the formation of a positive feedback loop in the p+–n+–p–n+ doped silicon region in FBFET, it turned out that the read delay time of the FBFET for nonvolatile memory applications can be shorter than 1 ns. On the other hand, for the volatile memory applications, the FBFET can implement (a) non-destructive read operations owing to the self-sustaining feedback loop characteristic, and (b) a significantly long retention time which can suppress the power dissipation in refresh. Furthermore, the operation scheme of volatile memory mode can be simplified by setting gate voltage conditions for the hold and read operations to be identical to each other. The FBFET showed its on-state drive current of 6 × 10−5 A μm−1 and the on-/off-current ratio of 109. The potential of merging nonvolatile and volatile memory devices in a single cell is discussed and demonstrated in this work.
Contemporary trends in management of uveal melanoma

Purpose In the management of uveal melanoma, eye plaque brachytherapy (EPBT) has replaced enucleation as the standard of care for small size tumors that require treatment, and for medium size tumors. In the modern era, EPBT is being utilized more frequently for certain large tumors as well. While there is prospective randomized evidence to support utilization of EPBT for tumors of appropriate dimensions, it is unclear what the actual practice patterns are across the United States. The purpose of this publication was to look at contemporary trends in the management of uveal melanoma across the United States to determine whether practices are appropriately adopting EPBT, and to investigate demographic and socio-economic factors that might be associated with deviations from this standard of care. Material and methods The National Cancer Database was queried (2004-2015) for patients with uveal melanoma. Data regarding tumor characteristics and treatment were collected. Two-sided Pearson χ2 test was used to compare categorical frequencies between patients who received globe preserving treatments vs. those who received enucleation. Multivariable logistic regression modeling was used to determine characteristics predictive for receiving enucleation. Results The enucleation rate for small/medium tumors (≤ 10 mm apical height and ≤ 16 mm basal diameter) decreased from 20% in 2004 to 10% in 2015. The EPBT rate for large tumors increased from 30% in 2004 to 45% in 2015. Numerous demographic and socio-economic factors were found to be associated with higher rates of enucleation. Conclusions The overall trend across the nation is a decreased enucleation rate for small/medium tumors, and an increased EPBT rate for large tumors. A fraction of patients who should be candidates for EPBT are instead receiving enucleation, and in this study, we have shown that certain adverse demographic factors are associated with this.
A Review of Three-Dimensional Medical Image Visualization

Importance. Medical images are essential for modern medicine and an important research subject in visualization. However, medical experts are often not aware of the many advanced three-dimensional (3D) medical image visualization techniques that could increase their capabilities in data analysis and assist the decision-making process for specific medical problems. Our paper provides a review of 3D visualization techniques for medical images, intending to bridge the gap between medical experts and visualization researchers.Highlights. Fundamental visualization techniques are revisited for various medical imaging modalities, from computational tomography to diffusion tensor imaging, featuring techniques that enhance spatial perception, which is critical for medical practices. The state-of-the-art of medical visualization is reviewed based on a procedure-oriented classification of medical problems for studies of individuals and populations. This paper summarizes free software tools for different modalities of medical images designed for various purposes, including visualization, analysis, and segmentation, and it provides respective Internet links.Conclusions. Visualization techniques are a useful tool for medical experts to tackle specific medical problems in their daily work. Our review provides a quick reference to such techniques given the medical problem and modalities of associated medical images. We summarize fundamental techniques and readily available visualization tools to help medical experts to better understand and utilize medical imaging data. This paper could contribute to the joint effort of the medical and visualization communities to advance precision medicine.
ANN based approach for selective detection of breath acetone by using hybrid GO-FET sensor array

This research used hybrid graphene oxide (GO) field effect transistors (FETs) based sensor array to design an electronic nose (e-nose) for identifying exhaled breath acetone to diagnose diabetes mellitus through noninvasive route. Six back gated FET sensors were fabricated with hybrid channel of GO, WO3 and noble metals (Au, Pd and Pt) nanoparticles. The experiment was carried out by using four distinct forms of synthetic breath, each with a different level of interference. Linear discriminant analysis (LDA) and artificial neural networks (ANN) were utilized to classify and analyze the sensor response vector. In contrast, partial least square (PLS) and multiple linear regression (MLR) were used to evaluate the exact acetone concentration in synthetic breath. First, LDA was used to lower the dimensionality of the response vector, which was then provided as an input to the ANN model. ANN was performed with ten perceptrons model in the hidden layer and highest accuracy of 99.1% was achieved. Additionally, by using the loading plot of PLS, three sensors (Pt/WO3/GO, Pd/WO3/GO, and WO3/GO) had the ample use to predict the concentration of breath acetone. Moreover, the MLR approach with correlation coefficient (R2) of 0.9572 and root mean square error (RMSE) of 5.63% were used for obtaining the exact concentration of acetone. Consequently, e-nose with matrix of hybrid GO-FET sensors and pattern recognition algorithms (LDA, ANN, PLS and MLR) exhibited considerable ability in selective detection of acetone in synthetic breath.
The Application Domains of Systematic Mapping Studies: A Mapping Study of the First Decade of Practice With the Method

The systematic mapping study (SMS) is a relatively new method of generating new information from existing studies. First defined as a methodology in 2007, it offers a method to filter existing information to produce novel insight into the observed research domain, and pinpoint new directions of research. In this study, the systematic mapping study method was utilized to determine how SMS as a method has spread and was utilized during the first decade since its conceptualization. In general, it was found that the SMS method is still at its early phase in utilization, and is mainly used in software engineering and healthcare studies, but also in several other scientific domains. SMS research and the scientific outputs rely on transparent protocols when conducting the actual search and identification process, and so far, the applied protocol and research procedure correlates strongly with the application domain; different domains have their own protocols. The SMS method can be recommended, for example, when the aim is to gain knowledge on how a specific topic is studied and where there are research gaps. There are still areas that are debated or where successful implementation is difficult, the biggest problems being the amount of work it requires and possible lack of quality analysis of the articles.
The Association of N-Terminal Pro-Brain Natriuretic Peptide With Time to Clinical Worsening in Hispanic Patients With Pulmonary Arterial Hypertension

Background Measurement of N-terminal pro-brain natriuretic peptide (NT-proBNP) level is an important parameter in the risk assessment of patients with pulmonary arterial hypertension (PAH). Data about the prognostic value of NT-proBNP in the Hispanic PAH population are lacking. Historically, clinical trials in PAH have only included a minority of Hispanic patients. It has been reported that baseline NT-proBNP levels differ between different ethnicities. Furthermore, NT-proBNP levels can be impacted by declining renal function, making its interpretation difficult regarding clinical decision making. Methods In a retrospective single-center cohort analysis, Hispanic patients with PAH had a baseline outpatient NT-proBNP level drawn during a period of clinical stability and were followed for 1 year to monitor for time to clinical worsening (TTCW). The association of baseline NT-proBNP and TTCW was assessed in patients with normal and abnormal renal function. Results A total of 26 patients (22%) met the clinical endpoint of clinical worsening. Twenty-seven patients (24%) had chronic kidney disease (CKD). At baseline NT-proBNP levels showed a significant inverse correlation with 6-min walk test (6MWD, r = -0.382, P = 0.02), and a significant positive correlation with renal function (r = 0.273, P = 0.05). NT-proBNP levels did not correlate with age (r = 0.19, P = 0.11) or body mass index (BMI) (r = -0.292, P = 0.061). NT-proBNP levels of > 1,415 ng/L were significantly associated with shorter TTCW (P < 0.01) in all patients and in patients with CKD (P = 0.03). A stepwise increase in NT-proBNP levels by 100 ng/L was associated with a higher risk of meeting the clinical endpoint of TTCW in patients with normal renal function (hazard ratio (HR) = 1.8, P < 0.01) and CKD (HR = 1.5, P < 0.01). Conclusions In Hispanic patients with PAH, NT-proBNP is a valuable tool to predict 1-year TTCW, independent of renal function.
Designing for Wide-area Situation Awareness in Future Power Grid Operations

Designing for Wide-Area Situation Awareness in Future Power Grid Operations Fiona F. Tran Master of Applied Science Graduate Department of Mechanical and Industrial Engineering University of Toronto 2016 Power grid operation uncertainty and complexity continue to increase with the rise of electricity market deregulation, renewable generation, and interconnectedness between multiple jurisdictions. Human operators need appropriate wide-area visualizations to help them monitor system status to ensure reliable operation of the interconnected power grid. We observed transmission operations at a control centre, conducted critical incident interviews, and led focus group sessions with operators. The results informed a Work Domain Analysis of power grid operations, which in turn informed an Ecological Interface Design concept for wide-area monitoring. I validated design concepts through tabletop discussions and a usability evaluation with operators, earning a mean System Usability Scale score of 77 out of 90. The design concepts aim to support an operator’s complete and accurate understanding of the power grid state, which operators increasingly require due to the critical nature of power grid infrastructure and growing sources of system uncertainty.
Electrostatic MEMS vibration energy harvester for HVAC applications

This paper reports on an electrostatic MEMS vibration energy harvester with gapclosing interdigitated electrodes, designed for and tested on HVAC air ducts. The device is fabricated on SOI wafers using a custom microfabrication process. A dual-level physical stopper system is implemented in order to control the minimum gap between the electrodes and maximize the power output. It utilizes cantilever beams to absorb a portion of the impact energy as the electrodes approach the impact point, and a film of parylene with nanometer thickness deposited on the electrode sidewalls, which defines the absolute minimum gap and provides electrical insulation. The fabricated device was first tested on a vibration shaker to characterize its resonant behavior. The device exhibits spring hardening behavior due to impacts with the stoppers and spring softening behavior with increasing voltage bias. Testing was carried out on HVAC air duct vibrating with an RMS acceleration of 155 mgRMS and a primary frequency of 60 Hz with a PSD of 7.15·10-2 g2/Hz. The peak power measured is 12nW (0.6 nW RMS) with a PSD of 6.9·10-11 W/Hz at 240 Hz (four times of the primary frequency of 60 Hz), which is the highest output reported for similar vibration conditions and biasing voltages.
Evaluation of 4 quantification methods for monitoring 16 antibiotics and 1 beta-lactamase inhibitor in human serum by high-performance liquid chromatography with tandem mass spectrometry detection.

Antibiotic (ATB) prescription in an intensive care unit (ICU) requires continuous monitoring of serum dosages due to the patient's pathophysiological condition. Dosing adjustment is necessary to achieve effective targeted concentrations. Since ICUs routinely use a large number of ATBs, global monitoring needs to be developed. In the present study, we developed a global analytical method for extracting, separating and quantifying the most widely used ATBs in ICUs: amoxicillin, piperacillin, cefazolin, cefepime, cefotaxime, ceftazidime, ceftolozane, ceftriaxone, ertapenem, meropenem, ciprofloxacin, moxifloxacin, levofloxacin, daptomycin, dalbavancin, linezolid and a beta-lactamase inhibitor: tazobactam. To guarantee the robustness of the quantification, we differentiated the 16 ATBs and the beta lactamase inhibitor into 4 pools (ATB1 to ATB4), taking into account prescription frequency in the ICU, the physicochemical properties and the calibration ranges of the ATBs selected. The whole ATB was then separated with two LC columns in reversed phase: Kinetex Polar-C18 100 Å and Polar-RP-80 synergy, in less than 6.5 min. Detection was carried out by electrospray in positive ion mode, by tandem mass spectrometry (LC-MS/MS. The four quantification methods were validated according to the European guidelines on bioanalytical method validation (EMEA guide), after determining the extraction yields, matrix effects, recovery, precision, accuracy, within-run precision and between-run precision. For all analyses, bias is < 15% and is comparable to the literature and LOQs vary from 0.05 mg.L-1 for ciprofloxacin to 1.00 mg.L-1 for ceftriaxone and dalbavancin. The stability time of cefepime and piperacillin is 3 hrs and for the other ATBs 6 hrs in serum at room temperature. For long-term stability, freezing at - 80 °C guarantees 3 months of stability for ceftriaxone and dalbavancin and more than 6 months for the other ATBs.
Physical education student teachers’ wellbeing during Covid-19: Resilience resources and challenges from school placement

The coronavirus 2019 (Covid-19) pandemic has given rise to significant global challenges across education, and specifically in the physical education teacher education (PETE) community. Students attending teacher education programmes during the Covid-19 pandemic have experienced an abrupt and unprecedented pedagogical transition from a face-to-face capacity to remote teaching, learning, and assessment environments. Crucially, student teachers’ school placement experiences faced increased challenges and practical implications from additional environmental and social changes. In the context of continued global and national challenges for initial teacher education (ITE) programmes, the present qualitative study, using a representative sample of 24 student physical education (PE) teachers from a PETE programme, investigates the perceived implications of the Covid-19 pandemic on student teachers’ practice and wellbeing during their final 2020/2021 academic year. Results indicate that student teachers maintain that exercise, connections with the university and school placement communities, alongside personal and professional organisation skills serve as resilience resources protecting their wellbeing. Conversely, student teachers express that school placement isolation, restricted PE delivery, increased workload, low teacher efficacy, and the responsibility to implement Covid-19 behaviour regulations presented as challenges that negatively affect their wellbeing. The paper concludes with practices that may further support PETE and ITE programmes and their student teachers to maintain a stable level of wellbeing throughout their careers.
Aerodynamic size-resolved composition and cloud condensation nuclei properties of aerosols in Beijing suburban region

Abstract. The size-resolved physiochemical properties of aerosols determine their atmospheric lifetime, cloud interactions, and the deposition rate on human respiratory system, however most atmospheric composition studies tend to evaluate these properties in bulk. This study investigated size-resolved constituents of aerosols on mass and number basis, and their droplet activation properties, by coupling a suite of online measurements with an aerosol aerodynamic classifier (AAC) based on aerodynamic diameter (Da) in Pinggu, a suburb of Beijing. While organic matter accounted for a large fraction of mass, a higher contribution of particulate nitrate at larger sizes (Da > 300 nm) was found under polluted cases. By applying the mixing state of refractory black carbon containing particles (rBCc) and composition-dependent densities, aerosols including rBCc were confirmed nearly spherical at Da > 300 nm. Importantly, the number fraction of rBCc was found to increase with Da at all pollution levels. The number fraction of rBC is found to increase from ~3 % at ~90 nm to ~15 % at ~1000 nm, and this increasing rBC number fraction may be caused by the coagulation during atmospheric aging. The droplet activation diameter at a water supersaturation of 0.2 % was 112 ± 6 nm and 193 ± 41 nm for all particles with Da smaller than 1 μm (PM1) and rBCc respectively. As high as 52 ± 6 % of rBCc and 50 ± 4 % of all PM1 particles in number could be activated under heavy pollution due to enlarged particle size, which could be predicted by applying the volume-mixing of substance hygroscopicity within rBCc. As rBCc contributes to the quantity of aerosols at larger particle size, these thickly coated rBC may contribute to the radiation absorption significantly or act as an important source of cloud condensation nuclei (CCN). This size regime may also exert important health effects due to their higher deposition rate.
Sliding-Mode-Based Robust Output Regulation and Its Application in PMSM Servo Systems

A robust output regulation of a control system aims at disturbance rejection and reference tracking in the presence of uncertainties. Technically, the control design contains two mechanisms: the compensation of nontrivial steady states caused by disturbances and/or reference trajectories and the stabilization of an error system relative to steady states. Feedforward compensation and the internal model (including an approximate integrator) are the two main techniques for the former, while the latter is on a case-by-case basis. This article studies an alternative sliding-mode-based approach that can address the two mechanisms simultaneously, thanks to the new concept of sliding-mode-based output zeroing manifold. This concept bridges the two widely studied areas: robust output regulation and sliding-mode control. The approach is also verified by its application in permanent magnet synchronous motor servo systems.
Energy Efficient Receiver-End Distributed Beamforming Using Orthogonal Transmissions

A novel orthogonal transmission based receiver-end distributed beamforming (DBF) scheme, Rx-DBF is proposed, for information transfer without receiver feedback. It is proven to achieve near-perfect DBF gain and is channel fading agnostic. Exploiting the correlation in beamformed output, a sporadic receiver feedback scheme is also introduced, which prolongs the duration of DBF gain to aid information or power transfer. The proposed schemes are demonstrated to be more energy efficient compared to the closest competitive approaches in the literature.
A solitary case of gliosarcoma an indication for TP53 mutation analysis: a non-concordant finding

Background: Li-Fraumeni syndrome (LFS) is a hereditary, autosomal dominant malignancy predisposition induced by a mutant TP53. Here, we describe a gliosarcoma (GS) case with a clinical family history impressive for an LFS case in the absence of inherited germline TP53 mutations. Case description: We present a 44-year-old female with a right high parietal mass. The mass proved pathologically to be GS with an isocitrate dehydrogenase-1 (IDH1) mutation. Pedigree analysis identified five first-degree and second-degree relatives with LFS spectrum malignancies. The patient tested positive for TP53 mutation; however, her family tested negative. Conclusion: Of all the tumours, GSs are the least described entity with LFS. We are highlighting the need to do a genetic survey in family members of the patient who has been diagnosed to have gliosarcoma and other tumours consistent with LFS.