Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimisasi Koordinasi Directional Over Current Relay (DOCR) pada Sistem Distribusi Mesh Menggunakan Modified Adaptive Particle Swarm Optimization (MAPSO) dengan Pembangkit Tersebar

Pemilihan topologi jaringan distribusi mesh merupakan salah satu hal yang sangat penting dalam penyaluran sistem tenaga listrik. Apabila terjadi gangguan pada suatu saluran maka saluran yang lain dapat menggantikan untuk penyalurkan daya listrik. Akibat adanya gangguan dari suatu saluran diperlukan koordinasi proteksi yang baik pada sistem mesh. Di samping itu, dengan adanya injeksi dari distributed generator pada sistem distribusi mesh, koordinasi proteksi yang dilakukan harus mempertimbangkan nilai arus gangguan dan arah arus gangguan. Arah arus gangguan harus diperhitungkan ,baik dalam arah forward maupun reverse . Dari permasalahan tersebut diperlukan sebuah metode penyelesaian untuk mengurangi kompleksitas koordinasi proteksi pada sistem mesh. Dalam hal ini algoritma Modified Adaptive Particle Swarm Optimization (MAPSO) digunakan sebagai metode optimasi untuk mengurangi kompleksitas dari perhitungan koordinasi proteksi pada sistem distribusi mesh. Algoritma MAPSO digunakan dalam optimasi koordinasi antar Directional Over Current Relay (DOCR). Parameter yang dioptimasi adalah TDS ( Time Dial Setting ) dan waktu kerja rele. Nilai rata-rata waktu kerja rele primer dengan Algoritma MAPSO adalah 0,262 detik.
Automatic Detection of Unexpected Accidents Monitoring Conditions in Tunnels

-----------------------------------------------------------------------------------------------------------------------------------ABSTRACT: Traffic pollution is becoming a big concern in the twenty-first century as the urban population grows and the number of motor vehicles grows. Accidents are a major cause of road delays because they not only result in injuries and losses for those involved, but also in wasted and missed time for those who are trapped behind the wheel. The Object Detection and Tracking Technology (ODTS) that we propose would be applied and expanded to automatically identify and control irregular events on CCTVs in tunnels in combination with a well-known deep learning network, Faster Regional Convolution Neural (Faster R- CNN), for Object Detection and Traditional Object Tracking. It allows the detection of a moving target in time, which is not normally possible in standard object tracking frameworks. The proposed scheme takes a time frame as input for Object Detection Bounding Box results, comparing current and previous image bounding boxes to assign a unique ID number to each moving and detecting object. [3] the suggested system is a video clip. It allows the detection of a moving target in time, which is not normally possible in standard object tracking frameworks. As a result, the computer will identify all injuries. More specifically, since the training data set is large, it is possible to automatically upgrade the ODTS capabilities without modifying the programme codes.
The problem of the urban–rural binary in geography and political ecology

Geographers have been challenging problematic spatial concepts for decades. Gillen et al. usefully add to this work by disrupting the urban–rural binary in human geography, suggesting that we take people in the Global South more seriously, especially those ‘whose perspectives on urbanization are entangled with ongoing rural dynamics’. They advocate for advancing the concept of relational ruralization. In this commentary, I express my general support for Gillen et al.'s efforts to expose the limitations associated with the urban–rural divide. However, I go somewhat beyond their work to suggest that human geographers should consciously reduce the primacy of the urban–rural binary when conceptualizing space, especially when looking at activities that transcend the urban–rural. There are more productive ways to consider connections.
Peripherally Inserted Central Catheter by Interventional Nephrologists: Experiences from a Single Center

Purpose As the number of patients with chronic kidney disease increases, nephrologist activities are gradually expanding. This study evaluated the safety and success of peripherally inserted central catheter (PICC) performed by nephrologists. Patients and Methods We retrospectively analyzed the medical records of a medical center. All patients underwent a PICC procedure by two nephrologists. The reasons for catheter removal were classified as accidental removal; treatment termination; catheter occlusion; vessel thrombosis; catheter-related infection, or patient death. Overall catheter complications were defined as catheter occlusion, vessel thrombosis, or catheter-related infection. Results A total of 335 catheterizations among 286 patients were performed. Overall, catheter removal was required during follow-up in 251 of 335 cases. The catheter was removed in 48 out of 251 (19.1%) cases with catheter-related complications. In univariate and multivariate analyses, diabetes mellitus was associated with catheter-related infection. The catheter survival rates were 85.3% at 1 month. In univariate and multivariate analyses, diabetes mellitus and fluoroscopy-guided insertion were associated with favorable catheter survival. Conclusion The results of our study showed high success and low complication rates for PICC insertion by nephrologists. These findings indicate that interventional nephrologists already skilled in other procedures can expand their field of activity and profit.
ANALYSIS OF FACTORS AFFECTING CUSTOMER INTEREST IN CHOOSING RAHN PRODUCTS AT SHARIA PAWNSHOPS IN ACEH PROVINCE

This study examines the effect of Promotion, Ujrah Rates and Fund Disbursement Procedures on Customer Interest in Choosing Rahn Products at Sharia Pawnshops in Aceh Province. This study uses primary data obtained by distributing questionnaires to selected customers using a non-probability sampling method. The data analysis method used multiple linear regression analysis. The results showed that the promotion variable, and the procedure for disbursing funds had a positive and significant effect on customer interest in choosing Rahn's products at Pegadaian Syariah in Aceh Province. Meanwhile, the ujtrah rate variable has a negative and significant effect on customer interest in choosing Rahn's products. Recommendations from this research are expected that the Aceh Sharia Pawnshop can increase promotion as a means of introducing products to the public. Meanwhile, the ujrah tariff rate is reconsidered (to be lowered) and in terms of disbursement of funds it can be maintained in order to increase public interest in using Rahn's products at Sharia Pawnshops in the future.
Drivers of transit service loyalty considering heterogeneity between user segments

ABSTRACT Users’ loyalty to public transit service is fundamental to promote its popularity in the transportation market. A four-step analytical framework is advanced to investigate the importance of service attributes that heterogeneous transit user segments place on their public transit service loyalty, measured in terms of overall satisfaction and re-use intention. Critical service attributes perceived by transit users that are relevant for loyalty enhancement are explicitly determined, which vary between user segments. It is suggested that the design of strategies aimed to promote the use of public transit by increasing user loyalty towards transit service be targeted at specific attributes that contribute most to loyalty and specific user segments whose original loyalty level is significantly different to others.
Technology Acceptance Models pada Teknologi Digital: Survey Paper

Pertumbuhan teknologi yang pesat membawa dampak yang besar bagi masyarakat dan membawa masyarakat untuk mampu beradaptasi dengan terbukanya informasi. Banyak bidang mengintegrasikan teknologi dalam pekerjaannya. Akan tetapi, persoalan adaptasi akan menjadi persoalan yang besar bagi masyarakat di saat teknologi baru bermunculan. Untuk mengevaluasi dan memprediksi perilaku masyarakat dibutuhkan kerangka kerja yaitu TAM (Teori Acceptance Model) di mana model ini populer dan banyak digunakan dalam studi perilaku saat menggunakan teknologi. Penelitian ini bertujuan untuk 1) melihat TAM dari sudut pandang kerangka kerja dan perluasan TAM, 2) tujuan menggunakan TAM, 3) variabel eksternal yang digunakan selain konstruksi TAM, 4) identifikasi bidang apa saja yang menggunakan TAM pada teknologi digital dalam tahun 2021 dengan menggunakan SLR (Systematic Literature Review), serta 5) mengidentifikasi pada topik penelitian dan menjawab pertanyaan penelitian dan didapatkan selama tahun 2021. Kerangka kerja TAM dengan dua konstruksi utama PEUO dan PU masih bersifat adaptif dan kontekstual dalam berbagai bidang. Contohnya pendidikan, bisnis, akomodasi, pariwisata, dan perbankan dengan tujuan menguji, mengidentifikasi, menyelidiki, dan menguji akuntabilitas faktor-faktor yang mempengaruhi perilaku dengan beberapa variabel tambahan.
Design of Intelligent Connected Cruise Control With Vehicle-to-Vehicle Communication Delays

Connected cruise control (CCC) refers to a type of advanced driver assistance system combined with wireless vehicle-to-vehicle (V2V) communication technology to improve control stability and driving safety. However, it is urgent to investigate intelligent control algorithms to improve the adaptability of CCC in complex traffic environment. In addition, the effect of communication delays attributed to shared wireless communications on the performance degradation of the intelligent CCC design cannot be ignored. In this study, the design of deep reinforcement learning (DRL) controller for CCC system in high-dynamic traffic scenarios is investigated, which considers both time-varying leading velocity and communication delays. To be more specific, an intelligent CCC algorithm based on deep deterministic policy gradient (DDPG) is developed. According to the training samples obtained from interacting with the traffic environment, the actor network and the critic network are trained to maximize the quadratic reward function determined by state errors and control inputs for generating intelligent control strategies. In particular, the effect of previous control strategies is considered in vehicle dynamics analysis, optimization problem formulation and Markov decision process (MDP) definition to compensate the performance degradation attributed to communication delays. Lastly, the effectiveness and convergence of the proposed DRL-based CCC controller are verified through numerical simulations with various conditions. The superior performance of the proposed algorithm is shown by comparing with existing traditional algorithms and state-of-the-art DRL algorithms.
Experimental study on the reliable working life of PUF chip for 8 years

For the problem of reliability in the long-term use of integrated circuit chips, this article aims to work reliably for eight years, that is, after eight years of work, all devices can work normally, and a specific assessment plan for the life test is proposed. In this paper, a physical unclonable function chip is taken as an example, and related life-span experiments are carried out for the reliability target, and a method of life evaluation of a physical unclonable function chip is proposed. This method of evaluating life can also be used for other integrated circuit chips or components.
Abnormal Heart Sound Detection by Using Temporal Convolutional Network

Abnormal heart sound detection is great of significance because of the frequent occurrence of heart diseases. However, the automatic diagnosis for abnormal heart sound has a high requirement for domain knowledge and the signal noise poses an increased difficulty of diagnosis. In this paper, we propose a temporal convolutional network (TCN) to automatically detect abnormal heart sounds. Specifically, a noise removing technology is applied to original signals. Then, a TCN architecture is carefully designed to adapt the properties of heartbeat sound. The proposed method is tested on the Physionet dataset, and the results show our method contains potential ability in abnormal heart sound detection.
The development of overlapping computation with communication and its application in numerical weather prediction models

With the development of computer technology, the overlapping computation with communication has been continuously developed and widely applied in the process of computer development from single machine to supercomputer. The degree of parallelization is getting higher and higher, and the data volume of communication between nodes is getting larger and larger. Communication overhead becomes an important factor affecting parallel computing. The overlapping computation with communication is an important way to solve the excessive communication overhead in parallel computing. This paper first introduces the development history of overlapping computation with communication, including hardware optimization compiler upgrade and task optimization scheduling. For the development of numerical weather prediction models, the wide application of overlapping with computation and communication can effectively reduce the communication overhead and improve the computational efficiency of the models. Due to the increasing parallelism of numerical weather prediction models and the increasing communication cost, more and more application scenarios of computation and communication overlap, which can be effectively realized by grouping computation and communication. There is more communication in the three-dimensional data redistribution of spectral mode, which is the direction of performance optimization by overlapping computation with communication in the future.
Water consumption by dryland crops as related to pan evaporation

Lysimeter data, especially for sorghum and millet have been analysed to know the water consumption at various growth phases. Results are compared with the pan evaporation for ready reference to estimate water requirement of these crops. The study reveals that the ratio of actual evapotranspiration and pan evaporation at different growth phases varies from. 49 to 71 and from. 56 to. 72 for sorghum and millet respectively. These ratios in a few individual weeks, especially in the vegetative phase exceed one. Water used by sorghum and millet during the whole life span IS, on an average, 61 and 66 per cent of pan evaporation respectively.
Global Finite-Time Controller Design for HOSM Dynamics Subject to Upper-Triangular Structure

In this paper, a novel saturation-based control method is proposed for high-order sliding mode (HOSM) dynamics with upper-triangular nonlinearities. Firstly, a new HOSM dynamics with upper-triangular nonlinearities is constructed based on the traditional HOSM dynamics, so as to reduce the uncertainties in the control input channel. Then, a HOSM controller is established by means of the adding a power integrator method such that the new HOSM dynamics is locally stabilized. Finally, the saturation-based controller is constructed by a combination of the saturation technique and the local HOSM controller to guarantee that the sliding variables can converge into a domain of attraction in a finite time and retain inside it thereafter. The rigorous stability analysis is made by the Lyapunov theory. A simulation example is also given to demonstrate the effectiveness of the proposed method.
Catalytic mechanism of DcsB: Arginase framework used for hydrolyzing its inhibitor

DcsB, an enzyme produced from the d‐cycloserine biosynthetic gene cluster, displays moderate similarity to arginase in the sequence and three‐dimensional structure. Arginase is a ubiquitous enzyme hydrolyzing l‐arginine to generate l‐ornithine and urea, whereas DcsB hydrolyzes Nω‐hydroxy‐l‐arginine (l‐NOHA), an arginase inhibitor, to generate l‐ornithine and hydroxyurea. We determined the crystal structure of DcsB associated with l‐ornithine and that with the tetrahedral derivative of 2(S)‐amino‐6‐boronohexanoic acid, whose boron atom forms a covalent bond with an oxygen atom bridging two manganese ions at the active center. The substrate‐binding pocket of DcsB is narrower than that of arginase, suggesting that DcsB is unsuitable for the binding of l‐NOHA in an inhibitory manner. The transition state‐like structure demonstrated that Asp210 and Glu241 have a role to trap a positively charged ion near the dimanganese cluster. Kinetic analysis using the mutated DcsB showed that the enzyme employs different catalytic mechanisms under the neutral and alkaline pH conditions. Glu241 in DcsB is likely involved in the recognition of the hydroxyguanidino group of l‐NOHA, whereas Asp210, in cooperation with Glu241, seems to contribute to the reactivity toward the protonated l‐NOHA, which is a preferable species under the neutral pH conditions. After entering of the protonated l‐NOHA to the substrate‐binding pocket of DcsB, a hydronium ion may be trapped at the positive ion‐binding site. Then, the ion serves as a specific acid catalyst to facilitate the collapse of the tetrahedral intermediate of l‐NOHA.
For Better or Worse? Revenue Forecasting with Machine Learning Approaches

Abstract The recent rapid development of artificial intelligence (AI) is expected to transform how governments work by enhancing the quality of decision-making. Despite rising expectations and the growing use of AI by governments, scholarly research on AI applications in public administration has lagged. In this study, we fill gaps in the current literature on the application of machine learning (ML) algorithms with a focus on revenue forecasting by local governments. Specifically, we explore how different ML models perform on predicting revenue for local governments and compare the relative performance of revenue forecasting by traditional forecasters and several ML algorithms. Our findings reveal that traditional statistical forecasting methods outperform ML algorithms overall, while one of ML algorithms, KNN, is more effective in predicting property tax revenue. This result is particularly salient for public managers in local governments to handle foreseeable fiscal challenges through more accurate predictions of revenue.
Multibody Dynamic Characteristics of Non-lightweight Parallel Spring-Tension Rope System of Electric Nail Shooter

In the design stage of the nail shooting device, it is important to understand the response of its key components during the nail shooting process. Multibody dynamics analysis can provide valuable information about these components at different moments of nail shooting. The non-lightweight parallel spring-tension rope system of electric nail shooters includes two non-lightweight springs, one tension rope, one striker, a set of screw nuts, two movable rings, and four rollers, which are connected by tension rope. This study analyzes the multibody dynamics characteristics of the system, establishes the kinematics and dynamics model of the system, derives the dynamic theory equation of the system, and clarifies the main factors that affect the energy of the nail. Aiming for a multibody dynamics study, a model in MSC ADAMS was built taking into account the dynamic interactions of the different components. Define parameter quantification, such as the mass and characteristic curves of springs and strikers, to support problem definition and describe the overall behavior of the system. According to the research results, the kinetic energy of the electric nailing device can be adjusted to provide a theoretical basis for the development of the electric nailing power system.
The progress of superconducting magnet designing for ITER

Contemporarily, the fusion power shows a strong potential to address the issue energy crisis faced by mankind among the non-traditional energy. This article will introduce ITER and its three main components which provide the magnetic field conditions for realizing fusion reaction confinement. Specifically, the toroidal field system, the polar field system and the central solenoid system coils are discussed including the parameters, achievable remarkable outputs etc. With the supporting of the generating stable and intense magnetic field, there is no doubt that ITER will play an important role in guiding the commercialization of fusion. These results offer a guideline for future magnetic field design for future magnetic confinement fusion scenarios.
Evaluation of Nebulised Dexmedetomidine Given Pre-operatively to Attenuate Hemodynamic Response to Laryngoscopy and Endotracheal Intubation: A Randomised Control Trial

Background and aim A variety of medications have been studied to reduce the hemodynamic response to laryngoscopy and intubation. Dexmedetomidine has been used intravenously in many studies to reduce the hemodynamic response to laryngoscopy and intubation. In high-risk patients, this pressor response can increase morbidity and mortality. As dexmedetomidine has a good bioavailability via the nebulisation route, we formulated this study to evaluate the effect of nebulised dexmedetomidine on the hemodynamic response to laryngoscopy and endotracheal intubation. Methods This is a prospective, randomised controlled trial conducted on 100 patients with the American Society of Anesthesiologists grade I and II. The primary objective of the study was to see if nebulised dexmedetomidine at a dose of 1 microgram/kg could reduce the stress reaction to laryngoscopy and intubation. The secondary objective was to study the dose sparing effect of nebulised dexmedetomidine on the amount of propofol used during induction of general anaesthesia. The study population was randomly divided into two groups: group A (n = 50) included patients nebulised with dexmedetomidine 1 microgram/kg and group B (n = 50) included patients nebulised with 5 ml saline 30 minutes before induction of anaesthesia in a sitting position. Results The demographics were similar in both groups. Following laryngoscopy and intubation, the systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and heart rate showed a significant increase in the control group B as compared to the treatment group A. In group A, there was attenuation in SBP (one minute = 113.2 ± 14.503, P < 0.001; five minutes = 109.86 ± 8.342, P < 0.001; 10 minutes = 114.24 ± 7.797, P = 0.010), DBP (one minute = 73.72 ± 10.986, P = 0.011; five minutes = 71.62 ± 9.934, P = 0.005; 10 minutes = 76.1 ± 8.006, P = 0.009), MAP (one minute = 86.80 ± 11.86, P = 0.001; five minutes = 84.44 ± 8.97, P = 0.006; 10 minutes = 88.72 ± 7.44, P = 0.018), and heart rate (one minute = 83.34 ± 12.325, P = 0.001; five minutes = 81.56 ± 13.33, P = 0.003; 10 minutes = 80.16 ± 14.086, P = 0.013) following laryngoscopy and intubation. Induction dose of propofol was significantly lower in the dexmedetomidine group (73 ± 19.509, P < 0.001). Conclusion Nebulised dexmedetomidine effectively blunts the hemodynamic response to laryngoscopy and intubation and also has a dose sparing effect on the induction dose of propofol.