Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis Perbandingan Parameter QoS Standar TIPHON Pada Jaringan Nirkabel Dalam Penerapan Metode PCQ

Kantor Kecamatan S menggunakan jaringan nirkabel untuk mendukung kinerja para pegawai. Namun, setiap pengguna belum mendapatkan kecepatan akses yang merata untuk unggah maupun unduh data. Sehingga, dilakukan pengalokasian bandwidth menggunakan metode Per Connection Queue (PCQ). Penggunaan metode PCQ karena ingin membagi bandwidth dengan sama rata untuk pengguna yang aktif. Kecepatan unggah dan unduh data sebelum dilakukan alokasi bandwidth mempunyai selisih kecepatan akses yang signifikan, sehingga para pengguna tidak mendapatkan alokasi bandwidth yang adil dan merata. Namun, setelah dilakukan manajemen bandwidth setiap pengguna aktif mendapatkan alokasi bandwidth yang adil, dibuktikan dengan nilai rata-rata kecepatan unggah dan unduh data yang serupa, yaitu 8.34 Mbps untuk unggah dan 8.45 untuk unduh. Tahap berikutnya dilakukan analisis Quality of Service (QoS) untuk melihat kinerja dari atribut jaringan sebelum dan sesudah dilakukan manajemen bandwidth dengan PCQ. Pada parameter throughput dan delay berada dalam kategori standar TIPHON Sangat Bagus, pada kondisi sebelum maupun sesudah dilakukan konfigurasi PCQ. Parameter Jitter juga memberikan hasil yang sama antara sebelum dan sesudah, yaitu ada di dalam kategori ”Bagus”. Parameter yang berubah antara sebelum dan setelah konfigurasi adalah packet loss. Sebelum dikonfigurasi PCQ berada dalam kategori Bagus dan setelah dikonfigurasi dengan PCQ menjadi Sangat Bagus. Hal tersebut menjadikan kecil kemungkinan atau meminimalkan hilangnya paket selama transmisi data berlangsung. Sehingga, paket dapat diterima dengan sangat baik dari pengirim kepada penerima. Dukungan keamanan juga diterapkan dengan mac filtering. Hal ini bertujuan untuk memberikan izin akses hanya pada perangkat yang sudah terdaftar dalam sistem jaringan. Pembatasan pengguna ditujukan juga untuk menjaga kestabilan akses internet.
Analysis of the Financial Potential of Apple, Xiaomi, and Nokia: Recommendations for Potential Investors

The growth of the smartphone industry is prominent. Smartphone now seems to become a necessity in people’s daily life. In order to provide a more comprehensive analysis and recommendations for investors on the investment of three famous smartphone manufacturers – Apple, Xiaomi, and Nokia, this article compares Equity Beta, Return on Equity (ROE), inventory turnover, the weighted average cost of capital (WACC), leverage ratio, and business risk of three companies. The result demonstrates that Apple has the highest inventory turnover ratio and ROE, as well as the lowest inventory turnover ratio. Apple maintains its leverage and business risk at a relatively medium level among the three companies. Xiaomi has the highest leverage level and WACC but the lowest business risk. The ROE and inventory turnover ratio of Xiaomi is also the weakest among the three companies. Compared with Apple and Xiaomi, Nokia has the lowest Beta and leverage ratio, but the highest business risk and a relatively low inventory turnover ratio. This article found that Apple’s shares would have a higher return, but the investment would also be relatively riskier. For investors pursuing a relatively stable income, Xiaomi would be a better choice to invest. In contrast, Nokia has less potential to bring profit to investors and shareholders.
Spectral anisotropy in forced two-dimensional turbulence on a rotating sphere

The datasets on the forced two-dimensional turbulence on a rotating sphere obtained in our recent direct numerical simulations were analyzed to study the spectral anisotropy due to the rotation of the sphere. The results were also compared with those previously obtained in some β-plane experiments to assess the β-plane approximation of the rotating sphere. Owing to the effect of rotation the upward energy cascade ceases around a characteristic total wavenumber nβ at which the linear “β-term” is comparable to the nonlinear Jacobian term. The energy density of zonal components (m=0) is dominant in the range of n≲nβ while the energy is very small in an airfoil-shaped region at the lower edge in the wavenumber space (m,n). Anisotropic distribution of the energy is also found in the high wavenumber region n≳nβ; the energy density decreases as the zonal wavenumber m increases. The flow field in the spherical geometry is projected on some tangential planes from the equator to the poles to compare the spherical r.
Superhydrophobic photothermal MXene composite film for light-driven films

Because of their safety, environmental friendliness, and simple operation, light-driven films are widely used in the fields of environment, biomedicine, and micromechanics. For light-driven films, moving the film on the liquid surface via the Marangoni effect is a convenient, mainstream approach. The efficient photothermal conversion can generate thermal Marangoni flow rapidly, and the superhydrophobicity can reduce the drag when the light-driven film moves on the liquid surface. In this work, a new strategy for preparing the composite film with excellent photothermal and superhydrophobic properties is proposed. The fSiO2/MG-WPU(fluoroalkylsilanes-SiO2/MXene@gold-waterborne polyurethane) film was obtained by simple spraying. The localized surface plasmon resonance effect improved the light absorption of MG(MXene@gold) hybrid, which is beneficial to the photothermal conversion. The absorption of the fSiO2/MA-WPU film reached 84% in the wavelength band from 300 to 1400 nm. The prepared MXene composite films show superhydrophobic property. The contact angle and sliding angle of the composite film reached to 154° and 2.3°, respectively. The film has good photothermal conversion ability, and its temperature reached 121 °C within 300 s (808 nm laser, 0.5 W/cm2). Combining high photothermal conversion and superhydrophobicity, the fSiO2/MG-WPU composite film achieved excellent performance for light driving. When irradiating with a laser power of 2 W/cm2, the film linearly advanced 12.8 cm in 12 s. Furthermore, the film completed the actions such as clockwise rotation and counterclockwise rotation. The multifunctional fSiO2/MG-WPU composite film provides a new platform for remote control devices, light-driven micro-robots, reagent micro-transporters, etc.
Nondestructive Measuring Method of Polarization for the Study of Ferroelectrics

The piezoelectric output voltage of a ferroelectric crystal in an ultrasonic field is determined by its state of polarization. By using this property, a technique has been developed for the measurement of polarization without disturbing the domain configuration. This ultrasonic method has several advantages over the Sawyer‐Tower method and Chynoweth's pyroelectric method. Quasi‐static hysteresis measurements of a barium titanate single crystal have been carried out to illustrate the method.
IMPLEMENTASI HONEYPOT DAN PORT KNOCKING DALAM MENDETEKSI SERANGAN DDoS ATTACK PADA SERVER JARINGAN

Sistem keamanan jaringan semakin hari kian makin berkembang, begitu pula serangan pada sistem jaringan yang berbeda-beda metode dan perkembangannya, khususnya pada server yang menjadi pengendali utama dalam sistem jaringan menjadi target utama. Oleh karena itu pentingnya menggunakan sistem keamanan jaringan dalam mendeteksi dan menggagalkan serangan.Metode serangan yang digunakan adalah Distributed Denial of Service (DDoS attack) dengan berbagai jenis serangan seperti DDoS attack request flooding, DDoS attack traffick flooding, DDoS brute force attack dan DDoS attack SQL injection. Sedangkan untuk mendeteksi dan menggagalkan serangan yaitu menggunakan metode honeypot dan port knocking yang akan berkolaborasi dalam mengamankan sistem server jaringan pada sistem operasi Windows. Hasil saat dilakukan 5 kali proses pengujian sebelum serangan rata-rata performance kinerja CPU usage history (5%-18%) dan networking LAC (1%-5%). Setelah serangan CPU usage history (72%-90%) dan networking LAC (22%-32%). Sedangkan pada saat ada serangan namun server jaringan sudah terpasang honeypot dan port knocking performance kinerja CPU usage history menjadi stabil mencapai rata-rata (5%-21%) dan networking LAC (1%-6%). Kata kunci; Server Jaringan, DDoS Attack, Honeypot dan Port Knocking
Asymptotic Relative Efficiency of Goodness‐Of‐Fit Tests Based on Inverse and Ordinary Autocorrelations

Abstract. We compare the performance of the inverse and ordinary (partial) autocorrelations for time series model identification. It is found that, both in terms of Bahadur's slope and Pitman's asymptotic relative efficiency, the inverse partial autocorrelations are more efficient than the ordinary autocorrelations for identification of moving‐average models. By duality, the partial autocorrelations turn out to be more powerful than the inverse autocorrelations to identify autoregressive models. Numerical experiments on both simulated and real data sets are presented to highlight the theoretical results.
Optimization and Validation of Model Predictive Controller (MPC) Approach for Wind Turbine Energy System in Domestic Loads

: In this paper, a novel MPC controller for Wind turbine system (WTS) is proposed to control the turbine actuation system using intelligent fuzzy logic. The main limitation of wind turbine system is power regulation and frequent transient operation which defines the WTS as unstable among other renewable energy sources. The proposed controller defines the WTS to operate in nominal conditions with high improved performance during capture of wind energy system which maintains the load safe and operate-able to all condition. The controller proposed with the small actuator that defines with WTS will tackle losses associated during operation and rotation of WTS. The complete WTS with actuator model and fuzzy control based MPC controller designed in MATLAB/SIMULINK environment. The simulation outcomes suggest that a better transient response and high energy delivery obtained during the usage of proposed controller and further reduces ripples, further the proposed work tested with various operating ranges in domestic loads holds better results compare to conventional one.
Surgical Management of Complicated Duplex Kidney: A Tertiary Referral Centre 10-Year Experience

Aim: The management of a complicated duplex kidney remains a challenge for paediatric urologists. The aim of this study is to report a 10-year experience of the surgical management of complicated duplex kidney in a single tertiary care paediatric referring hospital. Materials and Methods: Clinical records of all children who undergone a surgical procedure for complicated duplex systems between January 2009 and March 2019 at our institution were retrospectively reviewed. Clinical manifestations, surgical procedures, complications and follow-up were collected and analysed. Logistic regression was performed to explore if any patient's characteristic or underlying associated comorbidity (ureterocoele, ectopic ureter, obstruction, etc.,) could be positively linked to the chance to develop recurrent urinary tract infections (UTIs). Results: We have identified 95 children who received a surgical treatment for 102 complicated duplex kidneys. The presence of an ureterocoele was recorded in 41 (43.2%) patients, an ectopic ureter in 25 (26.3%), a vesicoureteral reflux (VUR) in 40 (42.1%), a vesicoureteric junction obstruction in 24 (25.3%) and an ureteropelvic junction obstruction in 3 (3.2%). An invasive approach such as an heminephrectomy (71.6%) was required in the majority of cases. Higher risk of developing a UTI has been demonstrated in children diagnosed postnatally (P < 0.001) and in those with an associated obstruction (P < 0.05). Conclusions: No standardised management could be recommended for the surgical treatment of complicated duplex kidney. Children without antenatal diagnosis and with either an upper tract obstruction or VUR are at greater risk to develop UTI and need to be looked after more closely.
Weighted least-squared error method for object localization

This paper presents a new model-based method for estimating the object location. The estimation of the object location is formulated as a weighted least squared-error problem and its optimal solution is found using quaternions. The method can automatically de-emphasize the uncertain components of the vectors that represent positions of features in estimating the object location. This approach can locate objects more accurately than traditional approaches when feature positions have various inaccurate components. The experiments show that the estimation of the object location degenerates slower using the new method thafl using the traditional least squared-error approach.
Systematic Analysis of BELL Family Genes in Zizania latifolia and Functional Identification of ZlqSH1a/b in Rice Seed Shattering

The loss of seed shattering is an important event in crop domestication, and elucidating the genetic mechanisms underlying seed shattering can help reduce yield loss during crop production. This study is the first to systematically identify and analyse the BELL family of transcription factor-encoding genes in Chinese wild rice (Zizania latifolia). ZlqSH1a (Zla04G033720) and ZlqSH1b (Zla02G027130) were identified as key candidate genes involved in seed shattering in Z. latifolia. These genes were involved in regulating the development of the abscission layer (AL) and were located in the nucleus of the cell. Over-expression of ZlqSH1a and ZlqSH1b resulted in a complete AL between the grain and pedicel and significantly enhanced seed shattering after grain maturation in rice. Transcriptome sequencing revealed that 172 genes were differentially expressed between the wild type (WT) and the two transgenic (ZlqSH1a and ZlqSH1b over-expressing) plants. Three of the differentially expressed genes related to seed shattering were validated using qRT-PCR analysis. These results indicate that ZlqSH1a and ZlqSH1b are involved in AL development in rice grains, thereby regulating seed shattering. Our results could facilitate the genetic improvement of seed-shattering behaviour in Z. latifolia and other cereal crops.
Neuronal Oxidative Stress Promotes α-Synuclein Aggregation In Vivo

Both genetic and environmental factors increase risk for Parkinson’s disease. Many of the known genetic factors influence α-synuclein aggregation or degradation, whereas most of the identified environmental factors produce oxidative stress. Studies using in vitro approaches have identified mechanisms by which oxidative stress can accelerate the formation of α-synuclein aggregates, but there is a paucity of evidence supporting the importance of these processes over extended time periods in brain. To assess this issue, we evaluated α-synuclein aggregates in brains of three transgenic mouse strains: hSyn mice, which overexpress human α-synuclein in neurons and spontaneously develop α-synuclein aggregates; EAAT3−/− mice, which exhibit a neuron-specific impairment in cysteine uptake and resultant neuron-selective chronic oxidative stress; and double-transgenic hSyn/EAAT3−/− mice. Aggregate formation was evaluated by quantitative immunohistochemistry for phosphoserine 129 α-synuclein and by an α-synuclein proximity ligation assay. Both methods showed that the double transgenic hSyn/EAAT3−/− mice exhibited a significantly higher α-synuclein aggregate density than littermate hSyn mice in each brain region examined. Negligible aggregate formation was observed in the EAAT3−/− mouse strain, suggesting a synergistic rather than additive interaction between the two genotypes. A similar pattern of results was observed in assessments of motor function: the pole test and rotarod test. Together, these observations indicate that chronic, low-grade neuronal oxidative stress promotes α-synuclein aggregate formation in vivo. This process may contribute to the mechanism by which environmentally induced oxidative stress contributes to α-synuclein pathology in idiopathic Parkinson’s disease.
Efficacy of real-time audio biofeedback on physiological strains for simulated tasks with medium and heavy loads

Excessive workloads (physical and mental) has been indicated as potential risk factors to health problems in many industries. Incorporating with wearable sensors, biofeedback techniques have been applied in many fields to acquire various physiological responses and convey audio/visual signals for operators to lighten workloads, regulate stress, improve health, and better performances. This study evaluates the efficacy of integrating audio biofeedback device with real-time personal physiological strains monitoring system on reducing physiological strains for simulated treadmill walking tasks with medium and heavy loads. Ten male subjects voluntarily participated in this study. The results indicated that biofeedback with associated measure showed significant effect on skin temperature and heart rate. Task load showed significant effect on all physiological responses including heart rate, tympanic temperature, and skin temperature, and subjective score of perceived exertion. Providing audio biofeedback signal to cue the subjects to take precaution measure could decrease skin temperature and heart rate of the subjects by 0.18°C and 6.1 bpm, respectively. Combining wearable sensing technology and audio biofeedback technique could be implemented to provide real-time monitoring information to help the workers take precaution measures to reduce workloads and potentially preserve their health and safety
Regulation of Chromatin Accessibility by the Farnesoid X Receptor Is Essential for Circadian and Bile Acid Homeostasis In Vivo

Simple Summary The Farnesoid X Receptor (FXR) is a nuclear receptor that regulates the expression of several genes involved in the metabolism of bile acids (BAs) which is essential for normal liver function. In this study, we used the CRISPR/Cas9 system to generate a novel FXR knockout mouse model and demonstrate that FXR deletion in hepatocytes is associated with a global reduction in chromatin accessibility. The loss of chromatin accessibility was predominantly localized to promoter-associated transcription factor motifs, such as the NFγ/CBP and the KLF/SP1 family of pioneer transcription factors. Importantly, we demonstrate that the loss of FXR mediated chromatin accessibility contributes to dysregulation in bile acid and circadian homeostasis in hepatocytes. Abstract The Farnesoid X Receptor (FXR) belongs to the nuclear receptor superfamily and is an essential bile acid (BA) receptor that regulates the expression of genes involved in the metabolism of BAs. FXR protects the liver from BA overload, which is a major etiology of hepatocellular carcinoma. Herein, we investigated the changes in gene expression and chromatin accessibility in hepatocytes by performing RNA-seq in combination with the Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) using a novel FXR knockout mouse model (Fxrex5Δ: Nr1h4ex5Δ/ex5Δ) generated through CRISPR/Cas9. Consistent with previous Fxr knockout models, we found that Fxrex5Δ mice develop late-onset HCC associated with increased serum and hepatic BAs. FXR deletion was associated with a dramatic loss of chromatin accessibility, primarily at promoter-associated transcription factor binding sites. Importantly, several genes involved in BA biosynthesis and circadian rhythm were downregulated following loss of FXR, also displayed reduced chromatin accessibility at their promoter regions. Altogether, these findings suggest that FXR helps to maintain a transcriptionally active state by regulating chromatin accessibility through its binding and recruitment of transcription factors and coactivators.
A generalized fuzzy Markov chain-based model for classification of remote-sensing multitemporal images

In this work we propose a conceptual generalization of the cascade classification, fuzzy Markov chain-based method introduced in earlier studies. Such generalization, which is based on the assumption of the invertibility of the fuzzy Markov classification model with respect to time, leads to a model that can classify image objects at two points in time simultaneously. We start by defining two temporal modes of operation. In the forward mode a temporal transformation, supported by a transition possibility matrix T, projects an image object’s fuzzy classification for time t into time t + 1 and fuses the updated membership values with the object’s fuzzy classification for time t + 1. In the backward mode the transition matrix is inverted and the fuzzy classification for time t + 1 is updated backwards, i.e. projected into time t. Furthermore, we tackle a key problem with respect to the application of fuzzy Markov chains in remote-sensing data classification: the estimation of transition possibility values. Previously, transition possibilities estimation in the context of fuzzy Markov chain-based multitemporal classification methods has been carried out with the aid of stochastic methods – specifically, through genetic algorithms. In this work we propose an analytical, least squares-based estimation technique, as a more stable and computational efficient alternative to the stochastic approach. Finally, we report on the application of the multitemporal method in the classification of two different test sites – rural and urban – covered by images produced by medium and high resolution orbital, optical sensor systems.
A Review of Converter Circuits for Ambient Micro Energy Harvesting

The Internet of Things (IoT) has a great number of sensor nodes distributed in different environments, and the traditional approach uses batteries to power these nodes: however, the resultant huge cost of battery replacement means that the battery-powered approach is not the optimal solution. Micro energy harvesting offers the possibility of self-powered sensor nodes. This paper provides an overview of energy harvesting technology, and describes the methods for extracting energy from various sources, including photovoltaic, thermoelectric, piezoelectric, and RF; in addition, the characteristics of the four types of energy sources and the applicable circuit structures are summarized. This paper gives the pros and cons of the circuits, and future directions. The design challenges are the efficiency and size of the circuit. MPPT, as an important method of improving the system efficiency, is also highlighted and compared.
Studies of the influence of deep subwavelength surface roughness on fields of plasmonic thin film based on Lippmann–Schwinger equation in the spectral domain

In this paper, we consider a line source over a plasmonic thin film with surface roughness. Using layered medium Green’s functions, we derive the Lippmann–Schwinger equation in the spectral domain with scattering potentials for the case of surface roughness over a layered medium. Because of deep subwavelength surface roughness, the scattering potentials are next approximated by the small potential approximation, so that the solutions of fields in the spectral domain can be readily computed. Numerical results are illustrated for the surface fields on the rough surface and the fields in the image plane. For periodic roughness, small periods, on the order of 0. 1λ, and small heights, on the order of 0. 01λ, are used. For the case of random roughness, we choose the correlation length to be much smaller than a wavelength, on the order of 0. 1λ, and height on the order of 0. 01λ. The results of the fields on the rough surface in the spectral domain show that subwavelength roughness creates fields with wave vector components that are many times larger than the free-space wavenumber (∼10k0 or larger). In the spatial domain, the imaging is enhanced by the deep subwavelength roughness. Results of the small roughness approximation are in good agreement with that of exact potential and that of the method of moments.