Miracle-dz/UniFAR-FTUs huggingface dataset:
A 1.8 V 8.62 µW Inverter-based Gain-boosted OTA with 109.3 dB dc Gain for SC Circuits

ABSTRACT This paper presents a low-power inverter-based gain-boosted operational transconductance amplifier (OTA) for switched capacitor (SC) circuits operating at higher supply voltage (>1 V). The proposed OTA is implemented using UMC 180 nm CMOS technology with a supply voltage of 1.8 V and it offers a high dc gain with a unity gain bandwidth (UGB) suitable for audio applications. All the transistors of the proposed OTA are operated in sub-threshold region to minimize the power consumption. Gain-boosting technique is employed to achieve a higher dc gain. The post-layout simulations demonstrate the robust performance of the proposed OTA, which delivers a high dc gain of 109.3 dB and a UGB of 5.29 MHz at 81° phase margin (PM) with a capacitive load of 2.5 pF for a typical process corner at room temperature (27°C). The proposed OTA draws a quiescent current ( ) of 4.79 µA, resulting in a power consumption of 8.62 µW.
Managing Healthcare Integration

Healthcare integration projects typically involve significant organizational change, with the intention of providing improved patient services and outcomes through the integration of healthcare services. Some of the management needs of healthcare integration arguably go past the traditional domain of project management, leading practitioners in these projects to use change management in combination with project management. The focus of this article is on the ways that project managers, responsible for merging and integrating healthcare services, have used project management and change management approaches in combination when delivering these projects. The article involves an inductive analysis of data from the integration of 10 healthcare networks. The aim of this article is to contribute to the growing stream of project management literature that explores the blending of both project management and change management. Analysis of these healthcare integration projects led to five key themes, which can be summarized as: (1) traditional project management only partly aligns to the needs of healthcare integration projects; (2) benefits were found in combining project management with change management; (3) change management was particularly beneficial if used early in the project life cycle; (4) the life cycles of these two disciplines did not align, causing complications in practice, and (5) practitioners used an intuitive and improvisational approach to combining the disciplines.
Using Historical LCR and Water Quality Data to Evaluate Corrosion Control Treatment

Historical Lead and Copper Rule (LCR) regulatory sampling data from the Philadelphia Water Department were examined to explore their potential value for guiding a water utility's progress with regard to optimal corrosion control treatment (OCCT). If a system has established a stable water treatment process with consistent corrosion control treatment (CCT) and has achieved continued decreases in lead levels during regulatory sampling, then the information collected during LCR monitoring can be used as an important data set of a broader OCCT evaluation and will help inform the benefit of additional changes in CCT. Since water utilities have LCR data dating back to 1992, these data should be used to make informed decisions. This research also showed that the addition of orthophosphate has resulted in a significant decrease in lead levels at the customer tap. Additionally, profile sampling was performed to show that first‐draw 1 L samples following a 6 h stagnation period provide a good representation of the lead concentrations measured from lead service line and home plumbing samples at the same sites and may be used to indicate overall changes in lead concentrations at the tap resulting from CCT for this system.
Brain Cell Type-Specific Nuclear Proteomics Is Imperative to Resolve Neurodegenerative Disease Mechanisms

Neurodegenerative diseases (NDs) involve complex cellular mechanisms that are incompletely understood. Emerging findings have revealed that disruption of nuclear processes play key roles in ND pathogenesis. The nucleus is a nexus for gene regulation and cellular processes that together, may underlie pathomechanisms of NDs. Furthermore, many genetic risk factors for NDs encode proteins that are either present in the nucleus or are involved in nuclear processes (for example, RNA binding proteins, epigenetic regulators, or nuclear-cytoplasmic transport proteins). While recent advances in nuclear transcriptomics have been significant, studies of the nuclear proteome in brain have been relatively limited. We propose that a comprehensive analysis of nuclear proteomic alterations of various brain cell types in NDs may provide novel biological and therapeutic insights. This may be feasible because emerging technical advances allow isolation and investigation of intact nuclei from post-mortem frozen human brain tissue with cell type-specific and single-cell resolution. Accordingly, nuclei of various brain cell types harbor unique protein markers which can be used to isolate cell-type specific nuclei followed by down-stream proteomics by mass spectrometry. Here we review the literature providing a rationale for investigating proteomic changes occurring in nuclei in NDs and then highlight the potential for brain cell type-specific nuclear proteomics to enhance our understanding of distinct cellular mechanisms that drive ND pathogenesis.
Conserved Amino Acids Residing Outside the Voltage Field Can Shift the Voltage Sensitivity and Increase the Signal Speed and Size of Ciona Based GEVIs

To identify potential regions of the voltage-sensing domain that could shift the voltage sensitivity of Ciona intestinalis based Genetically Encoded Voltage Indicators (GEVIs), we aligned the amino acid sequences of voltage-gated sodium channels from different organisms. Conserved polar residues were identified at multiple transmembrane/loop junctions in the voltage sensing domain. Similar conservation of polar amino acids was found in the voltage-sensing domain of the voltage-sensing phosphatase gene family. These conserved residues were mutated to nonpolar or oppositely charged amino acids in a GEVI that utilizes the voltage sensing domain of the voltage sensing phosphatase from Ciona fused to the fluorescent protein, super ecliptic pHluorin (A227D). Different mutations shifted the voltage sensitivity to more positive or more negative membrane potentials. Double mutants were then created by selecting constructs that shifted the optical signal to a more physiologically relevant voltage range. Introduction of these mutations into previously developed GEVIs resulted in Plos6-v2 which improved the dynamic range to 40% ΔF/F/100 mV, a 25% increase over the parent, ArcLight. The onset time constant of Plos6-v2 is also 50% faster than ArcLight. Thus, Plos6-v2 appears to be the GEVI of choice.
Arc interruption performance of C4F7NCO2 and dielectric recovery in disconnecting switch

SF6 gas is widely used in high voltage power switchgear. However, SF6 is a gas with strong greenhouse effect. Therefore, the study of new environment-friendly gases represented by perfluoronitrile (C4F7N) gas as a substitute gas for SF6 has become a hot issue in the field of high-voltage electrical appliances. In this paper, the magneto-hydro-dynamic (MHD) model of arc burning process was established for the structure of 126kV isolation switch. The results about the post arc breakdown voltage and electrical field distribution was calculated for the evaluation of the performance of arc interruption. The established model in this thesis is valid and can be widely used in arc simulation and the evaluation of dielectric recovery. The results of this paper are significant for the application of new environmental gases in isolating switchgear and optimization design.
Complex problem: complex research design; researching the impact of WIL on employability

Work Integrated Learning (WIL) is internationally recognised as the intentional integration of theory and practice whereby students develop employability capabilities through simulated or work-based learning opportunities. It enables students to learn through experience in practical settings. The WIL agenda is gaining momentum as it is perceived as a mechanism for addressing increasing accountability measures facing the higher education sector and societal demands that the higher education experience prepare graduates for the dynamic global workforce. This paper provides an overview of the research methodology employed in the national project: Assessing the impact of WIL on student work-readiness. The research which is funded by the Office of Learning and Teaching (OLT) and endorsed by The Australian Collaborative Education Network (ACEN) has been underway since late 2011. The overarching aim of this research was to provide an evidence base for judging the impact of WIL on graduates’ readiness to commence work and guide university leaders in best practice and curricula investment. Fourteen universities have been involved in the project, providing coverage of a wide range of disciplines and different types of WIL. Data have been collected from students, graduates and employers thereby providing triangulated data sets from multiple stakeholders. The paper highlights preliminary findings emerging from the research and the impact on curriculum design and the student experience. Introduction Australia has a rapidly expanding economy and is highly competitive in the global market. To sustain this level of productivity and respond to burgeoning skill requirements, a highly skilled and responsive work force is required. For strong economic growth and development, Australia needs to increase the proportion of its population with a university qualification (Australian Government, 2009). There is an increasing emphasis on ‘human capital’ as a
Speech Emotion Recognition to assist Autistic Children

Autism Spectrum Disorder (ASD) is a condition that affects the development of the brain which causes problems in social interactions and everyday communications. The severity of symptoms varies as per the individuals but the most common symptoms are found to be reduced eye contact, impulsive and repetitive behavior, difficulty in understanding emotions expressed by others, etc. In this work, a Real-time Speech Emotion Recognition (SER) model is developed that takes audio signals as inputs and detects the emotions based on those signals. Noise is removed from these audio signals which are then converted into spectrograms and further into RGB images for predictions. The image classification models such as AlexNet, VGG16 and ResNet50 are used for classification of seven emotions - happy, sad, anger, fear, surprise, neutral and disgust that are trained on the datasets including RAVDESS, SAVEE, CREMA-D and TESS. Following this, the system generates appropriate replies that are based on the speech identified and would help the child to continue the conversation. The ResNet50 model achieved the best accuracy of 89.93 percent, on the combined datasets of RAVDESS, TESS, and SAVEE.
Copepod interaction with small‐scale, dissipative eddies in turbulence: Comparison among three marine species

A physical model of a Burgers vortex was created in the laboratory with characteristics corresponding to dissipative‐scale eddies that copepods are likely to encounter in turbulent flows. The swimming behavior of three marine copepod species is assessed as a function of vortex strength in and around the flow structure with the vortex axis aligned vertically or horizontally in the water. The studied species are Acartia tonsa, an estuarine copepod with a hop‐sink swimming style; Temora longicornis, a coastal copepod with a cruise swimming style; and Calanus finmarchicus, an open‐ocean copepod with a cruise‐sink swimming style. The results show that copepods change their swimming behavior with the intensity of the Burgers vortex and reveal species‐specific responses in nearly all kinematic parameters. A. tonsa and C. finmarchicus exhibited the strongest behavioral response to increasing vortex strength and T. longicornis exhibited the weakest response. A. tonsa and T. longicornis showed no response to changes in vortex orientation, whereas the behavior of C. finmarchicus revealed some vortex orientation dependence. One common behavior among the species is that the swimming trajectory shape becomes increasingly curved and spiral around the vortex core with increasing vortex strength, which provides a means of local aggregation and increased encounter rate with food and mates. The results are interpreted in relation to differences in swimming style and setal morphology among the species.
VIRTUAL KOMPANG: MAPPING IN-AIR HAND GESTURES FOR MUSIC INTERACTION USING GESTURAL MUSICAL CONTROLLER

The introduction of new gesture interfaces has been expanding the possibilities of creating new Digital Musical Instruments (DMI). However, the created interfaces are mainly focused on modern western musical instruments such as piano, drum and guitar. This paper presents a virtual musical instrument, namely Virtual Kompang, a traditional Malay percussion instrument. The interface design and its implementation are presented in this paper. The results of a guessability study are presented in the study to elicit end-user hand movement to map onto commands. The study demonstrated the existing of common hand gestures among the users on mapping with the selected commands. A consensus set of gestures is presented as the outcome of this study. Keywords: Digital Music Instrument, Virtual Environment, Gestural Control, Leap Motion, Virtual Instrument
A Half-Mode SIW Cavity-Backed Semi-Hexagonal Slot Antenna for WBAN Application

ABSTRACT A half-mode substrate integrated waveguide (HMSIW) antenna covering industrial, scientific, and medical radio band at 5.8 GHz is designed, fabricated, and tested. An HMSIW technique is used to reduce the size to almost 50% while maintaining the same performance of the antenna. Afterwards, a semi-hexagonal slot is etched on the patch, which excites and tunes the dominant-mode of the cavity in the band of interest. Inspite of a substantial miniaturization, the proposed antenna provides a gain of 6.1 with front to back ratio of more than 10 dB along with a fair radiation efficiency of 83% in free space. In order to examine the performance of the antenna in the presence of a body, the antenna is tested on pork tissues. The measured on-body peak gain and simulated radiation efficiency are obtained as 5.25 and 69%, respectively. The antenna shows robust performance in the presence of pork tissues and the specific absorption rate value is under the Federal Communications Commission (FCC) guidelines, which makes it a suitable choice for wireless body area network applications.
The Impact of Compressor Ballistics on the Perceived Style of Music

Dynamic range compressors (DRC) are one of the most commonly used audio effect in music production. The timing settings are particularly important for controlling the manner in which they will shape an audio signal. We present a subjective user study of DRC, where a series of different compressor attack and release setting are varied and applied to a set of 30 sec audio tracks. Participants are then asked to rate which ballistic settings are most appropriate for the style of music in their judgement and asked to select one of a series of tag words, to describe the style or setting of the song. Results show that the attack parameter influences perceived style, more than the release parameter. From the study this is seen more evidently in the case of Jazz and Rock styles than in EDM or Hip-Hop. The area of intelligent Music production systems might benefit from this study in the future as it may help to inform appropriateness for certain DRC settings in varying styles.
Machines Which Can Think—Mechanical Intelligence (MI)

： Electronic and information technologies have been rapidly developed since the third industrial revolution. Conventionally, machines are considered as cold and lifeless objects which depend solely on commands from central controllers to perform motions and responses. However, mechanical structures have historically exerted great impacts on various aspects of the society. With the fast development of mechanisms, robotics and materials, those machines that can think is re-examined by researchers, from which the concept of mechanical intelligence (MI) emerges. The characteristics of MI in traditional mechanisms, flexible mechanisms and robotics are reviewed, and the underlying scientific problems are elaborated. The relationship between MI and mechanical control system is discussed. It can be believed that the MI will become the one of the most promising directions in the study of intelligent machines or robots due to its high reliability, fast response and safety in human-machine interaction.
SPR-Based Sensor for the Early Detection or Monitoring of Kidney Problems

SPR-based technology has emerged as one of the most versatile optical tools for analyzing the binding mechanism of molecular interaction due to its inherent advantages in sensing applications, such as real-time, label-free, and high sensitivity characteristics. SPR is widely used in various fields, including healthcare, environmental management, and food-borne illness analysis. Meanwhile, kidney disease has grown to be one of the world's most serious public health problems in recent decades, resulting in physical degeneration and even death. As a result, several studies have published their findings regarding developing of reliable sensor technology based on the SPR phenomenon. However, an integrated and comprehensive discussion regarding the application of SPR-based sensors for detecting of kidney disease has not yet been found. Therefore, this review will discuss the recent advancements in the development of SPR-based sensors for monitoring kidney-related diseases. Numerous SPR configurations will be discussed, including Kretschmann, Otto, optical fiber-based SPR, and LSPR, which are all used to detect analytes associated with kidney disease, including urea, creatinine, glucose, uric acid, and dopamine. This review aims to show the broad application of SPR sensors which encouraged the development of SPR sensors for kidney problems monitoring.
Potential global distribution of a temperate marine coastal predator: The role of barriers and dispersal corridors on subpopulation connectivity

Predicting the potential distribution of species and possible dispersal corridors at a global scale can contribute to better understanding the availability of suitable habitat to move between, and the potential connectivity between regional distributions. Such information increases knowledge of ecological and biogeographic processes, but also has management applications at a global scale, for example, for estimating the restocking ability of exploited regional subpopulations. As a case study, we tested the utility of environmental niche modeling to investigate the potential global distribution of a highly mobile temperate marine coastal species, the broadnose sevengill shark (Notorynchus cepedianus). First, we characterized and compared three model variants using global data and regional data from two geographically distant and genetically diverging subpopulations in the Southwest Atlantic and southern Australia. The best performing model was then transferred to the rest of the world to obtain a final global prediction for the species. Predictions revealed broad suitable areas across temperate regions of the Northern and Southern Hemispheres. As a final step, we overlaid underwater seamount data on suitability maps to simulate possible dispersal corridors and regional connectivity. Global subpopulation connectivity and dispersal are discussed in the light of recent genetic evidence, to help explain why unoccupied suitable areas are not currently accessed by the species. This study highlights the potential use of global and regional data for the assessment of habitat suitability of species at a global scale, and provides considerations when applying these models to other highly mobile species.
Influence of Abrasive Treatment on a Transformation of Zirconium Oxide Used in Dental Prosthetics

Zirconium oxide is a ceramic most often used in the field of dentistry for permanently cementing the substructures of prosthetic restorations in patients. The surface of zirconium oxide should be prepared properly because in the next stage it must be covered with porcelain. The success of prosthetics treatment depends on various factors, but it has been reported that the transformation of zirconium oxide plays a key role. The purpose of the research was to investigate the effect of abrasive blasting on the transformation of zirconium oxide. The research has shown that this type of surface treatment causes the transformation of the tetragonal phase into a monoclinic one. The samples were examined using X-ray diffraction (XRD). The study confirmed the assumption.
An Overview of Chemical Warfare Agents

Chemical warfare agent is defined as a chemical which is intended for use in military operations to kill, seriously injure, or incapacitate humans (or animals) through its toxicological effects. Chemical agents are relatively simple to make and easy to transport. Moreover, their effects are immediate and dramatic. Therefore chemical weapons are commonly used by terrorists to kill or injure in order to achieve certain political purposes. Although chemical incident is uncommon, however, once it occurs, the consequence will be great. Therefore, fundamental knowledge about the basic concepts, toxicity, personal protection, decontamination and treatment with respect to chemical incident are very important.
Does Non-Food Cultivation of Cropland Increase Farmers’ Income?

The production of cash crops is often regarded as an effective way to increase farmers’ income. This study evaluates the impact of non-food cultivation of cropland on farmers’ income by using the least-squares (OLS) model in Zhejiang Province, eastern China. Farmers are further divided into different groups according to their income levels to analyze the different impacts of non-food cultivation on their household income. The result shows that non-food cultivation has a significant negative effect on farmers’ income, with a more pronounced effect on farmers with a relatively low income. Accordingly, the increase in the proportion of cash crops that are grown does not increase the income of farmers in Zhejiang; instead, this harms their income. Therefore, farmers in Zhejiang should not rely on the cultivation of cash crops for their prosperity but must focus on participating in non-farm employment to increase their household income.
Vacuum System Design and Simulation for CHESS-U

A major upgrade project (dubbed CHESS-U) is planned to elevate performance of Cornell High Energy Synchrotron Source (CHESS) to the state-of-art 3 generation light sources. As a critical part of the CHESS-U project, about 80-m of Cornell Electron Storage Ring is to be replaced with double-bend achromat lattice to significantly reduce electron beam emittance. In this presentation, we will describe the designs of the CHESS-U vacuum system, including new beam pipe extrusions and chambers, sliding joints, and crotch absorbers. The vacuum pumping system consists of distributed pumps in the form of non-evaporable getter strips in the dipole chambers and compact, discrete NEG/Ion pumps in the quad straight and undulator beampipes. A test-particle Monte-Carlo simulation program, MolFlow, is employed to evaluate pumping performance of CHESS-U vacuum system in two aspects. First, we demonstrate that the planned vacuum pumping system can achieve and sustain required ultra-high vacuum level in CHESS-U operations after an initial beam conditioning. Second, we will explore beam commissioning processes of the new vacuum chambers, and simulate the saturation of the NEG strips during the commissioning. These simulations will aid continuing design optimization for the CHESS-U vacuum pumping system.