Miracle-dz/UniFAR-FTUs huggingface dataset:
American music writing: an unruly history

Abstract Popular music writing has made for strange colleagues and quickly lost legacies. I want to sketch some of them and suggest how they continue to influence the US version of popular music studies, arguably more so in our moment than in the previous period that codified an academic approach. I'll be anecdotal, alive to particulars of language, affiliation, method and form rather than attempting a quantification. Ranging from William Billings in 1770 to Daphne Brooks in 2021, I'll explore how such key framings as vernacular, sentimental and literary have shaped the nature of books on song. My hope is that, in synthesizing the larger history, I can suggest why so often this work could be characterized as, to use one of Robert Palmer's favourite words, unruly.
Functional Ionic Liquids Decorated Carbon Hybrid Nanomaterials for the Electrochemical Biosensors

Ionic liquids are gaining high attention due to their extremely unique physiochemical properties and are being utilized in numerous applications in the field of electrochemistry and bio-nanotechnology. The excellent ionic conductivity and the wide electrochemical window open a new avenue in the construction of electrochemical devices. On the other hand, carbon nanomaterials, such as graphene (GR), graphene oxide (GO), carbon dots (CDs), and carbon nanotubes (CNTs), are highly utilized in electrochemical applications. Since they have a large surface area, high conductivity, stability, and functionality, they are promising in biosensor applications. Nevertheless, the combination of ionic liquids (ILs) and carbon nanomaterials (CNMs) results in the functional ILs-CNMs hybrid nanocomposites with considerably improved surface chemistry and electrochemical properties. Moreover, the high functionality and biocompatibility of ILs favor the high loading of biomolecules on the electrode surface. They extremely enhance the sensitivity of the biosensor that reaches the ability of ultra-low detection limit. This review aims to provide the studies of the synthesis, properties, and bonding of functional ILs-CNMs. Further, their electrochemical sensors and biosensor applications for the detection of numerous analytes are also discussed.
Load-Velocity Relationship in Bench Press and Effects of a Strength-Training Program in Wheelchair Basketball Players: A Team Study

Performance in wheelchair basketball is determined by capabilities, such as strength and power. The study has two aims: first, to analyze the association between speed and acceleration variables (collected in the bench press (BP) exercise) and the distinct percentages of one-repetition maximum (1RM); second, to analyze the effect of a strength training protocol on wheelchair basketball (WB) players according to their functional impairments. Ten Spanish male WB players volunteered to participate in the study. The players did a pretest and posttest (1RM in bench press) with 6-week muscle strength intervention program. The results showed a high association between the %1RM and the mean propulsive velocity (MPV) and the maximum velocity (Vmax), both in the total of the participants, and in each separate group of athletes. After implementing the strength training program, both the players of the IWBF (International Wheelchair Basketball Federation) < 2.5 group and those of IWBF > 2.5 group improved their 1RM (p < 0.01, ES = 0.20 to 0.23). However, the program produced positive effects at submaximal intensities in the MPV reached with 30, 40, 70, and 80 kg and in time to maximum velocity (TVmax) with 30, 40, and 70 kg (ES = −3.24 to 1.32) only in players with greater functional impairments. The high association between %1RM and MPV and Vmax can allow for determination the %1RM of the WB players in the BP using the MPV and the Vmax. The training program was effective in improving 1RM in both groups, while improvements in submaximal values only occurred in the IWBF < 2.5 group.
Magnetization Switching in the GdFeCo Films with In-Plane Anisotropy via Femtosecond Laser Pulses

Ferrimagnetic rare-earth substituted metal alloys GdFeCo were shown to exhibit the phenomenon of all-optical magnetization switching via femtosecond laser pulses. All-optical magnetization switching has been comprehensively investigated in out-of-plane magnetized GdFeCo films; however, the films with the in-plane magnetic anisotropy have not yet been studied in detail. We report experimental observations of the magnetization switching of in-plane magnetized GdFeCo films by means of the femtosecond laser pulses in the presence of a small magnetic field of about 40 µT. The switching effect has a threshold both in the applied magnetic field and in the light intensity.
Self‐Driven Metal–Semiconductor–Metal WSe2 Photodetector with Asymmetric Contact Geometries

Self‐driven photodetectors have wide applications in wireless sensor networks and wearable physiological monitoring systems. While 2D materials have different bandgaps for potential novel application fields, the self‐driven photodetectors are mainly built on PN junctions or heterostructures, whose fabrication involves doping or reliable multiple transfer steps. In this study, a novel metal–semiconductor–metal (MSM) WSe2 photodetector with asymmetric contact geometries is proposed. A high responsivity of 2.31 A W−1 is obtained under zero bias, and a large open‐circuit voltage of 0.42 V is achieved for an MSM photodetector with a large contact length difference. The MSM photodetector can overcome the disadvantage of high dark current in traditional MSM photodetectors. A small dark current of ≈1 fA along with a high detectivity of 9.16 × 1011 Jones is achieved. The working principles and finite element analysis are presented to explain the origin of the self‐driven property and its dependence on the degree of asymmetry.
BATCH ADSORPTION AND ISOTHERM STUDIES FOR THE REMOVAL OF MALACHITE GREEN AND REACTIVE RED 4 DYES BY USING AC-MnO2-NC PREPARED FROM Typha angustat L.

The potential of using Typha Angustata L modified AC-MnO2-NC to eliminate the dyes namely Malachite Green and Reactive Red 4 dyes are studied. The result of more than a few parameters such as adsorbent dosage, contact time, temperature, the initial concentration of the adsorbate and pH has been evaluated. Tempkin, Halsey, Langmuir, Dubinin-Radushkevich and Freundlich isotherms are too studied. The lessons exposed that AC-MnO2-NC is appropriate to employ as an adsorbent to take away both Malachite Green and Reactive Red 4 dyes.
A Dual Closed-loop Longitudinal Speed Controller Using Smooth Feedforward and Fuzzy Logic for Autonomous Driving Vehicles

The performance of longitudinal control directly affects the safety and ride comfort of autonomous driving vehicles. For autonomous driving vehicles, the driving torque depends on the engines characteristics, which is difficult to build accurate model. In addition, the nonlinear and response lag of the power system will lead to drastic changes and oscillations of speed tracking, which will significantly reduce the longitudinal control performance of vehicle speed. Therefore, in order to secure the safe longitudinal control of a vehicle, we propose a dual closed-loop longitudinal speed controller using smooth feedforward and fuzzy logic, that is, smooth acceleration feedforward is introduced in the speed-loop to reduce the response lag, and fuzzy rules are formulated in the acceleration-loop to adaptively adjust the parameters of PID controller. This scheme has been implemented on the autonomous driving platform “Pioneer”. The experimental results on the real car show that, compared with conventional methods, the proposed longitudinal control scheme with smooth feedforward and fuzzy logic can obtain higher speed tracking accuracy and gentler control characteristics of throttle/brake pedal actions.
Local trajectory planning for autonomous vehicle with static and dynamic obstacles avoidance

Trajectory planning is one of the most complex tasks that should be accomplished in order to ensure vehicle autonomous driving. Trajectory planning can be classified into local and global planning. The purpose of local trajectory planning is to find the optimal trajectory to follow a global reference trajectory while avoiding obstacles in a smooth and comfortable way, within the constraints of road driving. This paper presents a trajectory planning algorithm that calculates a path according to a set of predefined way-points describing a global map. The predefined way-points provide the basic reference frame of a curvilinear coordinate system to generate candidate paths, which start with a transient phase, followed by a curve parallel to the road. Each candidate path, associated to a desired velocity profile, is evaluated via a cost function against several criteria including passenger's comfort, static and dynamic obstacles avoidance and overall trajectory tracking. The chosen trajectory is then applied to a full vehicle model using a coupled longitudinal/lateral controller validated on SCANeR studio (OKtal) simulator. A challenging test scenario of SCANeR studio is used to validate the proposed algorithm under Matlab.
Effect of pH and temperature on photocatalytic oxidation of methyl orange using black sand as photocatalyst

Azo dyes are considered hazardous compounds for the environment and human health. Methyl orange is one type of azo dyes and it is widely used in textile, leather, and other chemical industries. The degradation of this compound is a challenge for traditional treatments. Advanced oxidation processes such as heterogeneous photocatalysis, sonolysis, radiolysis, etc., become an alternative for mineralizing organic compounds by producing a highly oxidant agent (OH•). Nowadays, a great number of research studies have tried to modify TiO2 with metals in order to improve the degradation of hazardous pollutants such as azo dyes. This study used black sand as an alternative photocatalyst, evaluating the influence of pH (2, 5, 3 and 8) and temperature (20, 25, 30 and 35°C) on the photocatalytic oxidation of methyl orange. Black sand was magnetically separated. The fraction that showed the best characteristics for dye degradation was used. Experimental results allowed establishing that methyl orange photocatalytic oxidation is best performed at pH 2 and 30°C, with a degradation percentage of 96.93%. The reaction follows a pseudo-first order kinetic. In addition, the kinetic coefficient found at different temperatures was correlated using Arrhenius equation in order to determinate changes in the kinetic coefficient depending on the temperature. The equation pre-exponential coefficient was 374782115.1 and energy activation was -58,104.4 J mol-1 K-1.
H-φ formulation for the efficient simulation of superconductors

This work shows how to implement the H-φ formulation in a commercial finite element framework for efficiently modeling the electromagnetic behavior of high critical temperature superconductors. We show that the results obtained with the H-φ and H formulations are in good agreement in both 2-D and 3-D, but the H-φ formulation is much faster. Keywords—H-φ formulation, finite element method, HTS tapes
Multiple Measurement Vector Sparsity Adaptive Algorithm Realize the non-orthogonal Waveform Separation of MIMO Sparse Linear Array

In order to solve the irregular crossing distance migration (IRCM) in the compression sensing waveform separation method, the paper studies the characteristics of the signal received by MIMO radar and explores the joint sparsity of the multiple measurement vector in different observation channels. Multiple measurement vector sparse recovery algorithm is used to separate the echo replaced the single-observation vector restoration algorithm. It cannot only reconstruct the one-dimensional distance image with high precision but also suppress the IRCM. Aiming at the problem that current joint sparse recovery algorithm has poor separation effect due to the unknown sparsity, a sparse degree adaptive joint sparse recovery algorithm is proposed to improve the effect of waveform separation.
Analysis of Government Regulation in Lieu of Law (PERPPU) No 1 of 2020 Implementation on Income Tax Payable in Overcoming Financial Complication During the Covid-19 Pandemic (Case Study on CV KP)

This study aims to compare the income tax payable and income tax 25 due to the adjustment of the corporate income tax rate payable on CV KP which is a corporate taxpayer affected by the Covid-19 pandemic who undergoes the adjustment of the corporate income tax rate based on PERPPU No. 1 of 2020. The data collection technique used was documentation technique with comparative descriptive data analysis techniques. The results showed that a 22% rate adjustment application result in relief of IDR 27.419. 811,00 obtained by CV KP. The amount of income tax 25 by a 22% rate application and tax incentives in 2020 is IDR 15,266,362.00 for the April-June and the July-December is IDR 10,904,544.00, and income tax 25 in 2021 obtained relief of IDR 7. 739,900.00 for the period from April to June while the period from July to December returned to Rp. 15,479,801.00. CV KP should be able to save cash dibursement in 2020 during the Covid-19 pandemic to maximize the rate adjustment so that it does not cause a large overpayment. Thus, CV KP should make a separate calculation in determining the amount of income tax 25 by a 20% rate for the current year 2022.
SIW-based enhanced gain self-diplexing antenna using higher order modes

A self-diplexing antenna using slot-loaded cavity-backed Substrate Integrated Waveguide (CB-SIW) is presented with the enhanced gain. Higher-order modes (TE130 and TE310) in a square-shaped SIW cavity are utilized to emit linear and orthogonally polarized radiation with gain enhancement. Two concentric square ring slots are etched on the top conducting layer of the cavity to achieve broadside radiation. The asymmetric width of the outer square ring slot helps in achieving two different resonant frequencies at TE130 and TE310 modes. The proposed antenna is verified by observing a good match between the simulated and measured results. An excellent self-diplexing characteristic is achieved by getting isolation better than 28.0 dB between the two ports for a large tuning range. The proposed antenna radiates unidirectionally at two close frequencies 11.4 GHz and 12.2 GHz exhibiting gain of 9.8 dBi and 9.15dBi, respectively. In addition, the proposed design is single-layered, easy to fabricate as compared to traditional diplexing antennas.
Monitoring and evaluation for thinking and working politically

This article explores the challenges of monitoring and evaluating politically informed and adaptive programmes in the international development field. We assess the strengths and weaknesses of some specific evaluation methodologies which have been suggested as particularly appropriate for these kinds of programmes based on scholarly literature and the practical experience of the authors in using them. We suggest that those methods which assume generative causality are particularly well suited to the task. We also conclude that factoring in the politics of uncertainty and evidence generation and use is particularly important in order to recognize and value diverse experiential knowledge, integrate understandings of the local context, accommodate adaptation and realistically grapple with the power relations which are inherent in evaluation processes.
Target Localization and Power Allocation Using Wireless Energy Harvesting Sensors

As radio-frequency (RF) based wireless energy harvesting technology can provide remote and continuous power to low-power devices, e.g., wireless sensors, it may be a substitute for batteries and extend the lifetime of the wireless sensor networks. In this paper, we propose a wireless energy harvesting localization system (WEHLoc), which contains batteryless wireless sensors as anchors and an energy access point (E-AP) to transfer power to the anchors. We consider a passive target localization scenario, in which the anchors monitor the target and send the sensed ranging data back to the E-AP. Additionally, we formulate the optimal estimation accuracy problem which is a 0–1 mixed-integer programming problem and relates to the energy beam, target transmitted power, and deployed anchor density. Then, we develop the power allocation scheme of the E-AP to solve the objective. In order to reduce the complexity, we propose a heuristic method that converts the maximum estimation accuracy problem into the energy efficiency problem and use linear programming to solve them. The simulations demonstrate that WEHLoc can be massively deployed in a wide area, and the estimation error and the power consumption are relatively low.
Theoretical investigation on the tautomerization mechanism of phosphinic acids

Abstract H-phosphonates, H-phosphinates and secondary phosphine oxides (SPO) are essential compounds for the synthesis of pharmaceuticals, herbicides, pesticides, and phosphine ligands. Notably, prototropic tautomerism and substituent effects play an important role in the reactivity of the above compounds. [1] The main goal of our research was to study the tautomerism of symmetrical and asymmetrical phosphinic acids, by the means of computational investigation, applying several DFT and ab initio methods. We have investigated the effect of substituents, implicit solvents and also multiple kinetic pathways were elucidated for the possible tautomerization mechanism, including intramolecular, and various intermolecular routes. Graphical Abstract
Delivery Approach of Home Visitation : Registered Nurses Versus Paraprofessionals

Background: MOMS Orange County is a coordinated home visitation program in which trained paraprofessional home visitors work under the close supervision of registered nurses. This model was developed to address health disparities in birth outcomes in a Hispanic community in Orange County, CA. Purpose: The primary objective was to test the impact of MOMS Orange County on birth outcomes. The second objective was to examine the breadth of prenatal health education topics as a mediator of the relationship between home visits and birth outcomes. Methods: A retrospective cohort design was used. Paraprofessional home visitors collected prenatal and postnatal data during home visits. Only those whose birth outcomes were obtained were included in the analysis (N = 2,027 participants). Regression models were conducted to test the associations between prenatal home visits and birth outcomes, adjusting for 10 covariates. Results: Number of prenatal home visits predicted higher birthweight and greater gestational age at birth. Breadth of health education topics partially mediated the associations between home visits and birthweight. The same mediation was revealed with gestational age at birth. Clinical Implications: The MOMS Orange County prenatal home visitation program may be a promising approach to decrease adverse birth outcomes in disadvantaged communities. Rigorously designed studies are needed to further test this model.
Ranging and Location attacks on 802.11 FTM

802.11 Fine Timing Measurement is an indoor ranging technique. Because it is unauthenticated and unprotected, our experiments indicate that an adversary can implement ranging and location attacks, causing an unsuspecting client to incorporate forged values into its location computation. FTM clients tend to range against a small set of responders (top 3 to 6 responders with strongest signal). Once ranges have been collected, the client can compute its location using various techniques, such as 3-sphere intersection, matrix error minimization techniques or Kalman filter. Irrespective of the technique, we show in this paper that an attacker can cause a ranging client to deviate from its intended path, which can have dire consequences in some settings (e.g., automatic shuttle in public venue causing damages). We also show that protection intended for attacks on comparable ranging techniques, like GPS, are ineffective in the case of FTM.
Comment on gmd-2021-190

1.1 Yang et al present a consistent validation framework (including a suite a model evaluation metrics) for a terrestrial biosphere model data assimilation system (CARDAMOM) that can be used to systematically test different versions of the model in addition to various DA system configurations (observation record length etc). The introduction really nicely lays out the motivation for developing a rigorous DA-validation framework and the analyses presented provide a useful demonstration of how that framework can be used to answer the key questions posed in lines 90-95. This is important work that all TBM DA groups need to be routinely performing, and as such this paper should serve as a guiding framwork or benchmark that I believe will be of wide use to the TBM modeling community.
The Impact of Exchange Rate Volatility on Iran's Nonoil Exports to the Major Trading Partners

This paper investigates the impact of exchange rate volatility on Iran’s real exports to the Major trading partners (United Arab Emirates, Kuwait, Japan, Turkey, Italy and China) for the period from 1974 to 2011. We explore the short run and long run relationship between Iran’s exports to its trading partners and real bilateral exchange rate, exchange rate volatility and gross domestic product of an importing country. To this end, we use the autoregressive distributed lag method, which is reliable for both short run and long run relationship between variables. The results obtained provide evidence that the real exchange rate volatility has a long run significant effect on Iran’s real exports to Kuwait, Japan and Turkey. Also there is a short run effect between exchange rate volatility and Iran’s real exports to Kuwait, Japan and Italy.
An Ontology-Based Intelligent Traffic Signal Control Model

Reinforcement Learning (RL) can enhance the adjustment of the traffic signals' phases to improve the traffic flow. RL methods use ontologies and reasoning to enrich the controllers' domain knowledge, enabling them to interpret the traffic data, and ultimately improving their performance. Various RL methods are proposed for signal controllers with assumptions such as operating in non-stochastic environments with a predictable traffic flow and observing the fine-grained information of all vehicles. Such methods have not examined the robustness of the trained RL controllers' action selection when deployed in dynamic environments with partial detection of vehicles. However, in the real world, not all vehicles can be detectable, and not all events can be predicted. In this paper, we propose an Ontology-based Intelligent Traffic Signal Control (OITSC) model that augments the RL controllers' observation using an environment ontology model, which improves their action selection particularly in dynamic, partially observable environments with stochastic traffic flow. The decreased vehicles' waiting time in various traffic scenarios with partial detection of vehicles, noisy sensor data, and unexpected traffic events shows that the performance of the controllers is significantly improved in all tested RL algorithms (i.e., Q-learning, SARSA, and Deep Q-Network).
Complete genome sequence of Bacillus coagulans CACC834 isolated from canine

Abstract Bacillus coagulans CACC 834 was isolated from canine feces, and its potential probiotic properties were characterized by functional genome analysis. Whole-genome sequencing of B. coagulans CACC 834 was performed using the PacBio RSII platforms. The complete genome assembly consisted of one circular chromosome (3.1 Mb) with guanine (G) + cytosine (C) content of 47.1%. Annotation revealed 3,181 protein-coding sequences (CDSs), 30 rRNAs, and 83 tRNAs. Gene associated 11% of the genes were involved in replication, recombination, and repair. We also annotated various stress-related, acid resistance, bile salt resistance and adhesion-related domains in this strain, which likely provide support in exerting probiotic action by survival under gastrointestinal tract. These results add to our comprehensive understanding of B. coagulans and suggest potential mammal-related industrial applications.