Miracle-dz/UniFAR-FTUs huggingface dataset:
Flow developing properties of a compressible parallel jet

Two-point space–time correlation and Fourier spectrum analysis are applied to large-eddy simulation results of a compressible parallel jet flow at Reynolds number 2000 and Mach number 0.9. Flow properties including instantaneous vortical structures, flow intermittency, convection velocity of vortical structures, and pressure signals in the near flow-field are presented and discussed. The results show multi-scale features of vortical structures after flow transition. High intermittency is found to occur around the outer edges of the shear layer and the region surrounding the potential core, where the motion of vortices is vigorous. In order to analyze the motion of vortices, the convection velocity of vortical structures in the center plane of the jet is calculated by a designed solution procedure. The high convection velocity zone is shown to be a “V” shaped cap covering the potential core. The pressure fluctuation signals in the vortical flow are analyzed so as to study the effects of vortex motion. The signals show the feature of wave-packets and contain multiple dominant frequencies. The distribution of the dominant frequencies is characterized by a terrace shaped zone with stairs descending in both the streamwise and lateral directions. In addition, the phase velocity of the pressure signals shown by the frequency–wavenumber diagram unveils that the pressure fluctuations travel at a stable phase velocity along the lip-line of the jet, while the component with a supersonic phase velocity is salient in the downstream of the flow transition region outside the shear layer.
Simulation of Limiting Field Behavior in Electron Swarms in SFG Nz Gas Mixtures

Limiting field behavior of the electron swarms in SF6+N2 mixtures is investigated by a Monte Carlo simulation technique. (E/N)um values directly obtained from the simulation are given for 5, 10, 20, 40, 60 and 80 SF6 fractional component in the mixture together with the corresponding electron drift velocities and mean energies. Furthermore, in the E/N range of 243 < E/N < 606Td, effective ionization coefficients and mean energies in SF6+N2 mixtures are also evaluated with fractional SF6 contents of 0, 20, 40, 60, 80 and 100%. The simulation results obtained are compared with the available data in the literature.
Assessing mammal species richness and occupancy in a Northeast Asian temperate forest shared by cattle

Asian forests are becoming increasingly degraded and fragmented by the extensive intensification of anthropogenic activities; these activities threaten wildlife and ecosystem sustainability. Facing a defaunation crisis, managers need more information on species assemblages to guide conservation efforts. We tested the relative influence of natural and anthropogenic factors on mammalian species richness and occupancy in temperate forests in Northeast Asia.
Metal Loading Affects the Proton Transport Properties and the Reaction Monitoring Performance of Fe-ZSM-5 and Cu-ZSM-5 in NH3-SCR

Metal-promoted zeolites are widely applied as catalysts for the selective catalytic reduction of nitrogen oxide by NH3 (NH3-SCR). Here, we describe a systematic study on the proton transport properties of Fe-ZSM-5 and Cu-ZSM-5 NH3-SCR catalysts with different metal loadings. By means of in situ impedance spectroscopy (IS), we revealed the different influence of exchanged Fe and Cu on the NH3-supported proton transport in different atmospheres (N2 and NO/O2) and, consequently, on the monitoring of the NH3-SCR reaction using the zeolite catalysts directly as sensors. On the one hand, the mobility of adsorbed NH3 species as proton carriers, determined by the NH3–zeolite interaction, was influenced differently by Fe and Cu and their loadings. While the increase of Fe loading weakened slightly the NH3–zeolite interaction, a higher Cu loading enhanced significantly the NH3–zeolite interaction. On the other hand, highly proton-conducting ammonium ion (NH4+) intermediates, as unveiled by IS combined with DRIFTS, .
Seasonal connections between meteoric water and streamflow generation along a mountain headwater stream

In snowmelt‐driven mountain watersheds, the hydrologic connectivity between meteoric waters and stream flow generation varies strongly with the season, reflecting variable connection to soil and groundwater storage within the watershed. This variable connectivity regulates how streamflow generation mechanisms transform the seasonal and elevational variation in oxygen and hydrogen isotopic composition (δ18O and δD) of meteoric precipitation. Thus, water isotopes in stream flow can signal immediate connectivity or more prolonged mixing, especially in high‐relief mountainous catchments. We characterized δ18O and δD values in stream water along an elevational gradient in a mountain headwater catchment in southwestern Montana. Stream water isotopic compositions related most strongly to elevation between February and March, exhibiting higher δ18O and δD values with decreasing elevation. These elevational isotopic lapse rates likely reflect increased connection between stream flow and proximal snow‐derived water sources heavily subject to elevational isotopic effects. These patterns disappeared during summer sampling, when consistently lower δ18O and δD values of stream water reflected contributions from snowmelt or colder rainfall, despite much higher δ18O and δD values expected in warmer seasonal rainfall. The consistently low isotopic values and absence of a trend with elevation during summer suggest lower connectivity between summer precipitation and stream flow generation as a consequence of drier soils and greater transpiration. As further evidence of intermittent seasonal connectivity between the stream and adjacent groundwaters, we observed a late‐winter flush of nitrate into the stream at higher elevations, consistent with increased connection to accumulating mineralized nitrogen in riparian wetlands. This pattern was distinct from mid‐summer patterns of nitrate loading at lower elevations that suggested heightened human recreational activity along the stream corridor. These observations provide insights linking stream flow generation and seasonal water storage in high elevation mountainous watersheds. Greater understanding of the connections between surface water, soil water and groundwater in these environments will help predict how the quality and quantity of mountain runoff will respond to changing climate and allow better informed water management decisions.
Kinematic Modeling and Control of Variable Curvature Soft Continuum Robots

The compliant structure and influence of external forces usually result in complex deformation of soft continuum robots, which makes the accurate modeling and control of the robot challenging. In this article, we present a new variable curvature kinematic modeling approach for soft continuum robots by taking the external forces into consideration, achieving both accurate motion simulation and feedforward control of the robot. To this end, the variable curvature configuration is first parameterized based on the absolute nodal coordinate formulation. Then, a kinematic model is developed to describe the mappings between the defined configuration space and the actuation space with payloads. With this model, we achieve accurate and fast motion simulation for the soft continuum robot with different payloads and input pressures within 1 ms, which is verified by a set of experiments. Finally, an inverse-model-based feedforward controller is developed for a two-section soft continuum robot. The experimental results of tracking complex trajectories verify the effectiveness of our model and control strategies. The average position error of the end effector is 2.89% of the robot length. This article can also be served as a tool to design and analyze soft continuum robots with a desired workspace.
Talent management in government organizations: identification of challenges and ranking the solutions to address them

PurposeThe main aim of this research is to rank and prioritize the solutions to address the challenges for the successful implementation of talent management (TM) in government banks in Iran.Design/methodology/approachThis paper has identified the challenges of TM implementation in government banks and proposed the solutions to address these challenges through a review of the extant literature. The identified challenges and solutions were ranked using two multi-criteria decision-making (MCDM) methods called PROMETHEE and VIKOR based on the insights from 20 senior managers of government banks in Iran.FindingsThe challenges and solutions were categorized into cultural, managerial, human resources and environmental-related factors. “Building culture of TM in organizations”, “making TM as an ongoing process in organizations”, “commitment of senior managers to TM process”, “managing TM pipeline” and “focusing on meritocracy in recruitment and selections” were ranked as the top solutions to address cultural, managerial, human resources and environmental challenges, respectively.Research limitations/implicationsThe findings can provide a comprehensive view of different types of challenges and solutions in the TM process for government organizations and institutions. It also provides helpful insights for top managers to define their organizations' strategies effectively and to implement the TM process by ranking and prioritizing the solutions to address their challenges.Originality/valueThe main contribution of this study is to develop a comprehensive framework in which, identification of different types of challenges in the implementation of TM processes can be addressed and the approaches to remove or mitigate the effects of these challenges are ranked by using two well-established MCDM techniques.
A PROSPECTIVE OBSERVATIONAL STUDY ON DISTRIBUTION PATTERN OF ADVERSE EFFECTS OF BRONCHODILATORS AMONG BRONCHIAL ASTHMA AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE PATIENTS IN A TERTIARY CARE TEACHING HOSPITAL IN A RURAL AREA OF KANCHEEPURAM DISTRICT

Objectives: The objectives of the study were (i) to study the distribution pattern of adverse effects of bronchodilators at initiation or during the course of therapy, (ii) to make a causality assessment of adverse effect identified using the WHO adverse drug reaction (ADR) probability scale, and (iii) to identify next drug tolerated better by him/her. Materials and Methods: This is an observational study that lasted for duration of 2 months. Inclusion Criteria: All patients reporting ADR after initiation of bronchodilator or during the course of bronchodilator therapy for bronchial asthma/ chronic obstructive pulmonary disease within the study period were included in the study. The suspected adverse effect was noted and documented. Causality assessment based on the WHO scale was employed. Results: During the study period, ten patients reported to have ADR for bronchodilators were identified and the WHO Causality Scale for ADR was applied and the better drug tolerated by the patient was noted. Conclusion: Inhalational forms of longer acting beta-2 agonists were better compliable to the patients with no observable adverse effects.
Analysis of Student Satisfaction in the Current Online Teaching Scenario

The current COVID situation has put the entire education system in a state of shock and has forced the educators to adopt online teaching at a rapid pace Faculty and students are working hard to adapt to new and continuously evolving methods of and to make it as close to a classroom experience as possible Hence an analysis of student satisfaction for a specific course is planned through analytical means in this article Data is collected using the distance education learning environments survey as it closely resembles the current online teaching scenario The survey captures the relationship between student satisfaction and parameters such as faculty support, student interaction, active learning, student autonomy, authentic learning and personal relevance The survey is designed as a five point Likert type set of choices for each of the parameters The participants of this study were 150 undergraduate students of Second year of Kalasalingam Academy of Research and Education who were taking a common course in Mathematics From the survey results, correlation analysis and descriptive statistics is conducted to understand the parameters which considerably affect the student satisfaction considerably The analysis shows that faculty interaction and student interaction were the most significant factors affecting student satisfaction These results can directly act as an input to the institutions which are finding the aspect of online classes challenging and will motivate them to address the key issues directly to improve their student satisfaction © 2021, Rajarambapu Institute Of Technology All rights reserved
Application of Monocular Direct Vision Odometry in Augmented Reality

In recent years, the unlabeled augmented reality system has been gradually applied to various mobile devices, among which stable, accurate, and fast registration is the key to realizing this function. For this technique, this paper introduces camera exposure parameters and puts the data association and pose estimation into a unified nonlinear optimization problem. Moreover, the direct monocular vision odometer is transplanted into the augmented reality system through the position adjustment module. We compare it with the traditional visual odometry method that matches the feature points. The results show that this improved method can be used to track more quickly and build a more visual semi-dense point cloud map, which can be used to support the registration and tracking of virtual objects in augmented reality.
THESAURUS CONSTRUCTIONS OF STUDENTS' SELF-FULFILLMENT AND PSYCHOLOGICAL WELL-BEING IN UNIVERSITY EDUCATION

The purpose of this article is to reveal personal manifestations and confirmations of students' self-fulfillment in order to identify their psychological well-being in the process of learning in the Russian higher school. The study applied the method of thesaurus analysis by which the authors processed students' responses during a special survey. This method made it possible to highlight the semantic markers of students' self-fulfillment with their subsequent clustering into three sense thesauri: the thesaurus of self-fulfillment readiness; thesaurus of the self-fulfillment actions; thesaurus of selffulfillment activators. In accordance with the data of the survey, the study identified three leading narrative dominants of students' psychological well-being in learning: ego-inclusion in the educational process, comprehensive disclosure of personal abilities and acceptance in the university community. These dominants formed the basis for a special study to determine the level of students' self-fulfillment and their psychological well-being in university training. The summarized results showed that the process of university education provides the necessary conditions and opportunities for self-fulfillment of most of the students surveyed in the study.
Alternate eddy shedding set up by the non axisymmetric recirculation zone at the exhaust of a cyclone dust separator

Cyclones are used in a wide variety of process applications where product recovery and conversion are critical factors in terms of performance and cost. Because of the complex nature of the flow in the exhaust of these devices, many operational problems such as plant vibration have been observed. To examine this complex flow pattern, two cyclone dust separators with geometric swirl numbers of 3.043 and 3.324 were used to analyse the vortex shedding mechanisms set up at the exhaust. Both qualitative and quantitative measurements were taken, these providing actual pictures of the flow and the resulting velocity vector profiles. Alternate eddy shedding or helical vortices have been clearly shown to exist both in the central region and on the outer periphery of the flow. It was observed that both probably followed a spiral or helical path as they leave the cyclone exhaust. Changes in the Reynolds number by a factor of 2 were observed to have no effect on the main characteristics of the flow. Some changes were seen in the flow structure with change in swirl number, particularly in the size of the reverse flow zone, and the position of the large engulfment vortices.
Investigation of antihypertensive mechanism of Evolvulus alsinoides in DOCA salt induced hypertensive rats

Reason of study: To investigate antihypertensive mechanism of methanolic extract of Evolvulus alsinoides herb (MEEA) in DOCA salt induced hypertensive rats. Main finding: MECO of authentified sample was prepared using soxhlet extraction using methanol as an extracting solvent. Antihypertensive mechanism of MEEA was investigated using DOCA salt induced hypertension in wistar rats. Nephrectomy were performed and hypertension were induced by DOCA salt (25 mg/kg, s.c.); MEEA (600 mg/kg, i.p.); and Enalapril (Standard) were administered then hemodynamic parameters like Systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial blood pressure (MABP) and pulse pressure (PP) were measured using tail-cuff apparatus with AD instrument powerlab to find out mechanism of antihypertensive effect. SBP, DBP, MABP and PP were significantly decreased in MEEA treated rats as compared to disease control group (p<0.001/ p<0.01/ p<0.05). Principle conclusion: MEEA possess antihypertensive activity with ACE inhibitor mechanism similar as enalapril in DOCA salt induced hypertensive rats.
Prostate Cancer Classification Using Random Forest and Support Vector Machines

Nowadays, it gets more types of diseases in the medical sector. For this reason, the role of technology is very important in assisting medical staff to overcome the problem. This research discusses about Prostate Cancer. Prostate Cancer is suffered commonly by males. There are no exact causes how Prostate Cancer occurs in males, but there are several risk factors of a Prostate Cancer, such as age, ethnic group, family history, diet, smoking, and world area. In this research, the classification to diagnose Prostate Cancer is using two methods, those are Random Forest (RF) and Support Vector Machines (SVM). By comparing accuracy of those two methods, we will know which method is better with a dataset that we have from Al-Islam Bandung Hospital, Indonesia. The result is given that Random Forest has a better accuracy than Support Vector Machines. The accuracy shows 97.30% with 80% of data training.
Klasterisasi Pahlawan Nasional Indonesia Berdasarkan Daerah Asal Menggunakan Algoritma Community Detection

Abstrak Kisah sejarah sampai kemerdekaan Indonesia tak pernah lepas dari kurikulum pendidikan wajib belajar 12 tahun. Namun seiring dengan perkembangan zaman, hipotesis-hipotesis sejarah Indonesia juga ikut berkembang. hipotesis-hipotesis juga membantu sejarawan untuk melihat sejarah Indonesia menjadi lebih utuh. Untuk mendukung perkembangan tersebut, penulis mencoba mengimplementasikan algoritma Community Detection untuk mencari keterkaitan antar pahlawan nasional. Sumber data pahlawan nasional yang digunakan pada penelitian ini adalah id.dbpedia. Namun akibat inkonsistensi dan sedikitnya data yang disimpan di id.dbpedia, maka pengumpulan data tidak berhenti di id.dbpedia saja. Salah satu sumber data yang jumlah datanya lebih banyak dari id.dbpedia adalah Wikipedia. Data yang diperoleh kemudian dilakukan standarisasi secara manual, dan dibuatkan graf di Jupyter. Algoritma Community Detection digunakan untuk menemukan klaster-klaster komunitas pahlawan nasional Indonesia berdasarkan data daerah dan tahun. Community Detection menunjukkan bahwa data yang diolah dengan menggunakan Algoritma Greedy Modularity memiliki 16 komunitas atau kelompok. Selain itu, sebuah pola ditemukan pada 6 komunitas yang ada berdasarkan Algoritma Girvan Newman Sehingga dapat disimpulkan bahwa Algoritma Greedy Modularity menghasilkan lebih banyak klasifikasi komunitas. Kata Kunci: algoritma, klasterisasi, deteksi komunitas, pahlawan nasional indonesia, daerah, tahun Abstract The story of history Indonesia until Indonesia's independence has never been separated from the 12-year compulsory education curriculum. However, along with the times, historical hypotheses in Indonesia also developed. Hypotheses also help historians to see Indonesian history more fully. To support this development, the author tries to implement the Community Detection algorithm to find linkages between national heroes. The data source for the national heroes used in this study is id.dbpedia. However, due to inconsistencies and the lack of data stored on id.dbpedia, data collection does not stop at id.dbpedia only. One of the data sources with more data than id.dbpedia is Wikipedia. After the data was obtained, then it standardized manually, and graphs were made in Jupyter. The Community Detection algorithm is used to find clusters of Indonesian national hero communities based on regional and year data Community Detection shows that the data processed using the Greedy Modularity Algorithm generates 16 communities or groups. In addition, a pattern was found in 6 existing communities based on the Newman Girvan Algorithm. So it can be concluded that the Greedy Modularity Algorithm produces more community classifications. Keywords: algorithm, clustering, community detection, indonesian national heroes, region, years
Element labeling of antibody fragments for ICP-MS based immunoassays

This work introduces and evaluates the use of recombinantly produced antigen binding fragments (Fab) for ICP-MS based immunoassays. A labeling procedure for a genetically modified anti HER2-specific Fab, so-called ThioFab, with rare earth element labeled macrocycles, and its characterization via liquid chromatography inductively coupled plasma mass spectrometry is presented. The employment of this engineered ThioFab, which carries a recombinantly introduced cysteine allows accurate control of the labeling stoichiometry. The labeling procedure was performed after coordination of selected lanthanides by the complexing DOTA–maleimide-moiety and subsequent linking of the complex to the ThioFab. With the introduced cysteine residue, only a mild reduction step was necessary prior to the attachment of the lanthanide–DOTA–maleimide preventing fragmentation of the Fab-molecule. Pre-optimization steps were performed with human serum albumin as the model protein. By applying the optimized labeling procedure the labeling degree of the genetically modified ThioFab was increased to 90.5 ± 0.5%. The formation of the final ThioFab/antigen conjugate employing Anti-HER2/HER2 as the model system was successfully demonstrated indicating the high potential of the new approach for immunoassays in imaging and flow-cytometry based assays.