Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluasi Implementasi Program PAUD Holistik Integratif

Penelitian ini bertujuan untuk menggambarkan implementasi program PAUD Holistik Integratif di TK Bakti Baitussalam dengan pedoman Peraturan Presiden No. 60 Tahun 2013. Model evaluasi yang digunakan yaitu IPP (Input, process, product) dengan pendekatan kualitatif. Narasumber yaitu guru, kepala sekolah, serta orang tua siswa. Teknik pengumpulan data melalui wawancara, observasi, dan studi dokumen. Teknik analisis data menggunakan Miles dan Hubberman yaitu kondensasi dan penyajian data, serta penarikan kesimpulan. Hasil penelitian menggambarkan implementasi program PAUD Holistik Integratif di TK Bakti Baitussalam ditinjau dari aspek evaluasi input mengacu pada Standar Operasional Prosedur (SOP), yaitu terdapat layanan pendidikan, perlindungan, pengasuhan, kesejahteraan, kesehatan, dan gizi, aspek evaluasi proses sudah terintegrasi dan bekerja sama dengan Dinas Pendidikan, Puskesmas, Kepolisian, dan orang tua dan Aspek produk yaitu layanan kesehatan gizi, pendidikan, moral, emosional dan pengasuhan sudah berjalan dengan baik. Tingkat keberhasilan program yang tinggi sehingga sekolah dapat meningkatkan kualitas penyelenggaraan program.
The Transcriptional Responses of Ectomycorrhizal Fungus, Cenococcum geophilum, to Drought Stress

With global warming, drought has become one of the major environmental pressures that threaten the development of global agricultural and forestry production. Cenococcum geophilum (C. geophilum) is one of the most common ectomycorrhizal fungi in nature, which can form mycorrhiza with a large variety of host trees of more than 200 tree species from 40 genera of both angiosperms and gymnosperms. In this study, six C. geophilum strains with different drought tolerance were selected to analyze their molecular responses to drought stress with treatment of 10% polyethylene glycol. Our results showed that drought-sensitive strains absorbed Na and K ions to regulate osmotic pressure and up-regulated peroxisome pathway genes to promote the activity of antioxidant enzymes to alleviate drought stress. However, drought-tolerant strains responded to drought stress by up-regulating the functional genes involved in the ubiquinone and other terpenoid-quinone biosynthesis and sphingolipid metabolism pathways. The results provided a foundation for studying the mechanism of C. geophilum response to drought stress.
Velocity smoothing for depth migration: how much is too much?

Summary Velocity smoothing is an important, though often overlooked, aspect of Kirchhoff depth migration. In this paper, I investigate the sensitivity of the migrated image to the amount of smoothing applied to the velocity model. Using synthetic data from three structurally complex geologic models, I show that the best image is obtained in all cases by using an amount of smoothing that is reasonable on theoretical grounds, and that image quality degrades fairly slowly as the amount of smoothing varies from the optimal amount.
DL-Based Energy-Efficient Hybrid Precoding for mmWave Massive MIMO Systems

Hybrid precoding based on an adaptive-connected structure is one of the promising technologies for millimeter-wave communications, which achieves a good tradeoff between spectral efficiency and power consumption by deploying a switch-controlled connection between the antennas and radio frequency chains. To maximally enhance the energy efficiency while maintaining superior spectral efficiency of hybrid precoding, a novel deep learning-based optimization algorithm is presented for an adaptive fully-connected (AFC) structure in this paper. Firstly, two special convolutional neural network (CNN) frameworks are designed to optimize the phase shift precoding matrix and switch precoding matrix with hardware constraints, namely CNN-Fps and CNN-Fs respectively. Furthermore, a CNN-based joint optimization network is developed, named as CNN-JO network, which can simultaneously optimize the CNN-Fps and CNN-Fs subnetworks, such that the optimal analog precoding matrix is obtained. Then, using the fully digital optimal precoder as the training label, the proposed CNN-JO network can be trained to maximize the energy efficiency of the AFC structure. Finally, the well-trained CNN-JO model can accept the estimated channel matrix as the input and directly output the phase shift precoding matrix, switch precoding matrix, and digital precoding matrix. Simulation results and complexity analysis show that the proposed algorithm can achieve better performance than the previous works in terms of energy efficiency and spectral efficiency with a lower complexity.
Chronic traumatic encephalopathy: Diagnostic updates and advances

Chronic traumatic encephalopathy (CTE) is a progressive neurodegenerative disease that occurs secondary to repetitive mild traumatic brain injury. Current clinical diagnosis relies on symptomatology and structural imaging findings which often vary widely among those with the disease. The gold standard of diagnosis is post-mortem pathological examination. In this review article, we provide a brief introduction to CTE, current diagnostic workup and the promising research on imaging and fluid biomarker diagnostic techniques. For imaging, we discuss quantitative structural analyses, DTI, fMRI, MRS, SWI and PET CT. For fluid biomarkers, we discuss p-tau, TREM2, CCL11, NfL and GFAP.
Rotation and winding numbers for planar polygons and curves

The winding and rotation numbers for closed plane polygons and curves appear in various contexts. Here alternative definitions are presented, and relations between these characteristics and several other integer-valued functions are investigated. In particular, a point-dependent "tangent number" is defined, and it is shown that the sum of the winding and tangent numbers is independent of the point with respect to which they are taken, and equals the rotation number.
Finite strain endochronic plasticity with reference to metal tube under torsion

In this paper, a new rate type endochronic constitutive model is introduced to describe deformations in the finite strain range. A new material dependent objective rate of Cauchy stress is suggested based on the general form of spin tensors, defining objective stress rates. The endochronic constitutive equations are extended using the concept of corotational stress rates and additive decomposition of deformation rate. The constitutive relations are specialized for thin‐walled tubes under torsion and a procedure for solving the ordinary differential equations for cases of simple and pure torsion is developed. The axial effects for various materials, subjected to simple and pure torsion, are simulated and compared with experimental data. The results clearly indicate that the new combined rate endochronic model can be effectively used to describe the behavior of material in the finite strain range.
Evaluation of Exosomal Coding and Non-Coding RNA Signature in Obese Adolescents

Exosomes may contribute to the pathogenesis of obesity through their action as communication mediators. As we have previously demonstrated, in obese adolescents, some circulating miRNAs modified the C-type natriuretic peptide (CNP) expression and were associated with changes in metabolic functions. At present no data are available on miRNA transport by exosomes in this condition. To verify and compare the presence and the expression of CNP/NPR-B/NPR-C, and some miRNAs (miR-33a-3p/miR-223-5p/miR-142-5p/miRNA-4454/miRNA-181a-5p/miRNA-199-5p), in circulating exosomes obtained from the same cohort of obese (O, n = 22) and normal-weight adolescents (N, n = 22). For the first time, we observed that exosomes carried CNP and its specific receptors only randomly both in O and N, suggesting that exosomes are not important carriers for the CNP system. On the contrary, exosomal miRNAs resulted ubiquitously and differentially expressed in O and N. O showed a significant decrease (p < 0.01) in the expression of all miRNAs except for miR-4454 and miR-142-5p. We have found significant correlations among miRNAs themselves and with some inflammatory/metabolic factors of obesity. These relationships may help in finding new biomarkers, allowing us to recognize, at an early stage, obese children and adolescents at high risk to develop the disease complications in adult life.
Commercial Space Tourism and Space Weather: An Update

Numerous developments have occurred in commercial space tourism since a feature article in Space Weather first addressed the growing interest in this facet of human space flight [Turner, 2007]. For example, in July 2012, at the Farnborough International Air Show, Virgin Galactic announced that SpaceShipTwo is on the verge of the first commercial space tourism suborbital flight (Virgin Galactic press release, 10 July 2012, available at http://www.virgingalactic.com/ news/item/xxx/):
RadarVerses in Metaverses: A CPSI-Based Architecture for 6S Radar Systems in CPSS

Metaverses have caused significant changes in the industry and their academic foundation can be traced back to the term cyber–physical–social systems (CPSS), which was proposed in 2010. Radar is an important sensor in sensing systems that are widely applied in many fields, especially, in autonomous driving. To deal with the complex environment, smart radars with real-time information processing capabilities are required. Human factors play a critical role in the operation and management of radar systems, thus, digital twins’ radars in cyber–physical systems (CPS) are unable to achieve intelligence in CPSS due to an incomplete consideration of human involvement. For this consideration, we propose a novel framework of RadarVerses for smart radars in metaverses based on ACP-based parallel intelligence, which is also known as cyber–physical–social intelligence (CPSI). RadarVerses consist of five main parts which are physical radars, descriptive radars, predictive radars, prescriptive radars, and deep radars. To construct RadarVerses at the technical level, we introduce four main technical foundations: 1) communication technology; 2) scenarios engineering; 3) foundation models; and 4) digital workers. In addition, we also provide a case study about LiDARs’ predictive maintenance of accumulated snow in RadarVerses.
The study on the square pulse linear transformer driver (LTD)

The square pulse output of Linear transformer driver (LTD) is of great interest for excimer lasers, where the efficiency can be greatly improved in this way. The design of square pulse output LTD within the single cavity was presented, then the influence of jitter and loop inductance on square pulse output was studied, it can be found that the higher the value of the jitter and loop inductance, the more the risetime of the voltage pulse, which hinders the shaping of the square pulse output. Then the method to change the square pulse width by varying the triggering times was presented, through the simulation, it is found that when the triggering interval is set to 15s, the square pulse characteristics of the voltage output are more obvious, the flat top is flat, and the pulse width is wider. The bricks within the single cavity can be designed by two methods, where the one is using the same sized capacitors, the other is using the different sized capacitors to synthesize a flat voltage pulse, the choice of the two methods should be based on the cost and requirements of the excimer laser, including the amplitude of the output voltage, the pulse width and the laser beam quality. The reference of designing the square pulse LTD can be provided by this paper
Reciprocity theorems for electromagnetic or acoustic one‐way wave fields in dissipative inhomogeneous media

Reciprocity theorems have proven their usefulness in the study of forward and inverse scattering problems. Most reciprocity theorems in the literature apply to the total wave field and are thus not compatible with one‐way wave theory, which is often applied in situations in which there is a clear preferred direction of propagation, like in electromagnetic or acoustic wave guides and in seismic exploration. In this paper we review the theory for one‐way wave fields (or bidirectional beams), and we extensively discuss the symmetry properties of the square root operator appearing in the one‐way wave equation. Using these symmetry properties, it appears to be possible to derive reciprocity theorems of the convolution type and of the correlation type for electromagnetic or acoustic one‐way wave fields in dissipative inhomogeneous media along the same lines as the usual derivation of the reciprocity theorems for the total wave field. The one‐way reciprocity theorem of the convolution type provides a basis for representations of scattered one‐way wave fields in terms of generalized Bremmer series expansions or generalized primaries. The one‐way reciprocity theorem of the correlation type finds its application in reflection imaging based on inverse one‐way wave field propagators.
Concurrent Aortic Valve Replacement and Coronary Artery Bypass Grafting: Early Outcome and Predictors of Mortality

Background: The most prevalent structural heart valve condition that affects the aging population is degenerative aortic stenosis (AS). Conflicting reports have been reported on the effect of concomitant coronary artery bypass grafting (CABG) and aortic valve replacement (AVR) in patients with AS. Objective: At our medical center, we aimed to investigate outcomes of patients that occurred following AVR for AS conditions with and without CABG. Patients and Methods: A prospective study was performed in the Cardiothoracic Surgery Department from February 2019 to January 2021. A total of 50 patients were enrolled in the study and were equally divided into two groups. Group A involved patients who had an isolated AVR (n = 25). At the same time, Group B included patients who underwent AVR in conjunction with CABG (n = 25). AVR and all bypass anastomoses were performed under intermittent antegrade cold blood cardioplegia. Furthermore, we compared demographic, preoperative, operative, and postoperative data within groups. Results: Our finding revealed that the combination surgery patients were significantly older than the AVR patients (63.4 ± 8.7 vs. 57.7 ± 6.9 years; p = 0.014). The hospital mortality rate was similar in the combined procedure and AVR. The aortic cross-clamp time and cardiopulmonary bypass time were significantly longer in AVR + CABG compared to AVR patients (p < 0.0001). One-year postoperative improvements were reported in the NYHA class, with only one hospital mortality case among the two groups. Conclusions: We concluded that with optimal myocardial protection, minimal cross-clamp, and cardiopulmonary bypass time, in addition to the ideal and precise technique, the combined result of CABG-AVR was comparable to that of isolated CABG or AVR.
Measurement and analysis of a set of mandrels for the JET-X x-ray optics

The Joint European X-Ray Telescope, JET-X, is one of the core instruments of the scientific payload of the Russian SPECTRUM-X astrophysics mission due for launch in 1995. JET-X is designed to study the emission from X-ray sources in the band from 0.3 to 10 keV, particularly to meet primary scientific goals in cosmology and extragalactic astronomy. JET-X consists of two identical, coaligned X-ray imaging telescopes, each with a spatial resolution of 30 arcsecond (Half Energy Width, HEW) or better. Each telescope is composed of a nested array of 12 mirrors with an aperture of 0.3 m and a focal length of 3.5 m. The mirror shells have Wolter I geometry and are replicated by an electroforming process for which Carl Zeiss manufactured the 12 monolithic Nickel coated aluminum mandrels. In order to determine the mandrel limited HEW, several measurement and analysis steps including raytracing calculations are performed. The major contributions to the error budget, axial slopes and roundness errors, as well as the position of the focus are investigated. The results are reported and discussed.
Numerical Investigation of Flow in an Asymmetric Plane Diffuser Using a Multi-Scale Turbulence Model

The flow in an asymmetric plane diffuser was simulated using both the multiscale turbulence model based on the variable interval time average method and the standard k-ε model based on the Reynolds average method. The numerical method used in this simulation is an unstructured staggered mesh scheme. The capability of the multi-scale model to simulate flow in an asymmetric plane diffuser has been validated. Pressure coefficient, frictional resistance coefficient and mean velocity profiles downstream are in agreement with experiments. Moreover, the results predicted by the multi-scale model are better than that predicted by the standard k-ε model. The computational results show that the multiscale turbulence model can successfully simulate this type of separated flow.
Modelling the pressure–strain correlation of turbulence: an invariant dynamical systems approach

The modelling of the pressure-strain correlation of turbulence is examined from a basic theoretical standpoint with a view toward developing improved second-order closure models. Invariance considerations along with elementary dynamical systems theory are used in the analysis of the standard hierarchy of closure models. In these commonly used models, the pressure-strain correlation is assumed to be a linear function of the mean velocity gradients with coefficients that depend algebraically on the anisotropy tensor. It is proven that for plane homogeneous turbulent flows the equilibrium structure of this hierarchy of models is encapsulated by a relatively simple model which is only quadratically nonlinear in the anisotropy tensor. This new quadratic model - the SSG model - appears to yield improved results over the Launder, Reece & Rodi model (as well as more recent models that have a considerably more complex nonlinear structure) in five independent homogeneous turbulent flows. However, some deficiencies still remain for the description of rotating turbulent shear flows that are intrinsic to this general hierarchy of models and, hence, cannot be overcome by the mere introduction of more complex nonlinearities. It is thus argued that the recent trend of adding substantially more complex nonlinear terms containing the anisotropy tensor may be of questionable value in the modelling of the pressure–strain correlation. Possible alternative approaches are discussed briefly.
Dysferlin Deficiency Results in Myofiber-Type Specific Differences in Abundances of Calcium-Handling and Glycogen Metabolism Proteins

Dysferlinopathies are a clinically heterogeneous group of muscular dystrophies caused by a genetic deficiency of the membrane-associated protein dysferlin, which usually manifest post-growth in young adults. The disease is characterized by progressive skeletal muscle wasting in the limb-girdle and limbs, inflammation, accumulation of lipid droplets in slow-twitch myofibers and, in later stages, replacement of muscles by adipose tissue. Previously we reported myofiber-type specific differences in muscle contractile function of 10-month-old dysferlin-deficient BLAJ mice that could not be fully accounted for by altered myofiber-type composition. In order to further investigate these findings, we examined the impact of dysferlin deficiency on the abundance of calcium (Ca2+) handling and glucose/glycogen metabolism-related proteins in predominantly slow-twitch, oxidative soleus and fast-twitch, glycolytic extensor digitorum longus (EDL) muscles of 10-month-old wild-type (WT) C57BL/6J and dysferlin-deficient BLAJ male mice. Additionally, we compared the Ca2+ activation properties of isolated slow- and fast-twitch myofibers from 3-month-old WT and BLAJ male mice. Differences were observed for some Ca2+ handling and glucose/glycogen metabolism-related protein levels between BLAJ soleus and EDL muscles (compared with WT) that may contribute to the previously reported differences in function in these BLAJ muscles. Dysferlin deficiency did not impact glycogen content of whole muscles nor Ca2+ activation of the myofilaments, although soleus muscle from 10-month-old BLAJ mice had more glycogen than EDL muscles. These results demonstrate a further impact of dysferlin deficiency on proteins associated with excitation-contraction coupling and glycogen metabolism in skeletal muscles, potentially contributing to altered contractile function in dysferlinopathy.
"SCNN Based Classification Technique for the Face Spoof Detection Using Deep Learning Concept"

Face spoofing refers to “tricking” a facial recognition system to gain unauthorized access to aparticular system. It is mostly used to steal data and money or spread malware. The maliciousimpersonation of oneself is a critical component of face spoofing to gain access to a system.It is observed in many identity theft cases, particularly in the financial sector. In 2015, Wen etal. presented experimental results for cutting-edge commercial off-the-shelf face recognitionsystems. These demonstrated the probability of fake face images being accepted as genuine.The probability could be as high as 70%. Despite this, the vulnerabilities of face recognitionsystems to attacks were frequently overlooked. The Presentation Attack Detection (PAD)method that determines whether the source of a biometric sample is a live person or a fakerepresentation is known as Liveness Detection. Algorithms are used to accomplish this byanalyzing biometric sensor data for the determination of the authenticity of a source.
Training prosthesis users to switch between modes of a multi-articulating prosthetic hand

Abstract Purpose Producing triggers to switch between modes of myoelectric prosthetic hands has proven to be difficult. We evaluated whether digital training methods were feasible in individuals with an upper limb defect (ULD), whether myosignals in these individuals differ from those of non-impaired individuals and whether acquired skills transfer to prosthesis use. Materials and methods Two groups participated in a 9-day pre-test–post-test design study with seven 45-minute training sessions. One group trained using a serious game, the other with their myosignals digitally displayed. Both groups also trained using a prosthesis. The pre- and post-tests consisted of an adapted Clothespin Relocation Test and the spherical subset of the Southampton Hand Assessment Procedure. After the post-test, the System Usability Scale (SUS) was administered. Clinically relevant performance measures and myosignal features were analysed. Results Four individuals with a ULD participated. SUS-scores deemed both training methods feasible. Three participants produced only a few correct triggers. Myosignals features indicated larger variability for individuals with a ULD compared to non-impaired individuals (previously published data [1]). Three participants indicated transfer of skill. Conclusions Even though both training methods were deemed feasible and most participants showed transfer, seven training sessions were insufficient to learn reliable switching behaviour. Trial registration: The study was approved by the medical ethics committee of the University Medical Center Groningen (METc 2018.268). Implications for rehabilitation Switching between pre-programmed modes of a myoelectric prosthetic hand can be learned, however it does require training. Serious games can be considered useful training tools for trigger production in early phases of myoelectric prosthesis control training. In order to evoke transfer of skill from training to daily life both task-specificity and focus of attention during training should be taken into account.