Miracle-dz/UniFAR-FTUs huggingface dataset:
Social Outcomes of School Leavers With Cerebral Palsy Living in Victoria

Objective: In Australia, the National Disability Strategy provides a framework to guide actions and investment to achieve equity in social inclusion and economic participation for people with disability. We investigated the social outcomes of school leavers with cerebral palsy (CP) in Victoria, Australia and explored the determinants of desirable outcomes. Methods: We used the Victorian CP Register to invite all adults with CP aged 18–25 years (n = 649). On-line and/or paper-based surveys explored participation in education, employment, community activities, living situation, relationships and life satisfaction. Functional and health status data were collected. Social outcomes were summarized descriptively and compared between individuals with CP and non-disabled peers aged 18–25 years from the Household Income and Labor Dynamics in Australia dataset. Within the CP cohort we explored whether physical and mental health and level of functioning were associated with social outcomes. In addition, a descriptive comparison was undertaken between the social outcomes of the current CP cohort with that of a previously reported 2007 cohort. Results: Ninety participants (57% male; mean age 22.4 years (SD: 2.2) in 2020; 61.1% self-reported) provided data for analyses; response rate 16.9%. CP characteristics were similar between respondents and non-respondents. In comparison to similar aged peers, 79.8% had completed secondary school (compared to 83.2%); 32.6% (compared to 75.8%) were in paid work; 87.5% (compared to 48.2%) were living in their parental home; and 3.4% (compared to 31.6%) were married or partnered. Individuals with CP and higher levels of functional capacity and better physical health were more likely to undertake post-secondary education. Higher levels of functional capacity and physical health, as well as lower mental health status were associated with being employed. Conclusions: While foundational education completion rates were similar to non-disabled peers, significant gaps in social outcomes remain, including residence in the parental home and single status. While addressing these issues is challenging, substantial efforts are needed to reduce these disparities—work that needs to be done in collaboration with people with CP and their families.
Evolutionary Relationships and Divergence of KNOTTED1-Like Family Genes Involved in Salt Tolerance and Development in Cotton (Gossypium hirsutum L.)

The KNOX (KNOTTED1-like homeobox) transcription factors play an important role in leaf, shoot apical meristem and seed development and respond to biotic and abiotic stresses. In this study, we analyzed the diversity and evolutionary history of the KNOX gene family in the genome of tetraploid cotton (Gossypium hirsutum). Forty-four putative KNOX genes were identified. All KNOX genes from seven higher plant species were classified into KNOXI, KNOXII, and KNATM clades based on a phylogenetic analysis. Chromosomal localization and collinearity analysis suggested that whole-genome duplication and a polyploidization event contributed to the expansion of the cotton KNOX gene family. Analyses of expression profiles revealed that the GhKNOX genes likely responded to diverse stresses and were involved in cotton growth developmental processes. Silencing of GhKNOX2 enhanced the salt tolerance of cotton seedlings, whereas silencing of GhKNOX10 and GhKNOX14 reduced seedling tolerance to salt stress. Silencing of GhSTM3 influenced the cotton flowering time and plant development. These findings clarify the evolution of the cotton KNOX gene family and provide a foundation for future functional studies of KNOX proteins in cotton growth and development and response to abiotic stresses.
Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

While the diagnosis of high-grade glioma (HGG) is still associated with a considerably poor prognosis, neurosurgical tumor resection provides an opportunity for prolonged survival and improved quality of life for affected patients. However, successful tumor resection is dependent on a proper surgical planning to avoid surgery-induced functional deficits whilst achieving a maximum extent of resection (EOR). With diffusion magnetic resonance imaging (MRI) providing insight into individual white matter neuroanatomy, the challenge remains to disentangle that information as correctly and as completely as possible. In particular, due to the lack of sensitivity and accuracy, the clinical value of widely used diffusion tensor imaging (DTI)-based tractography is increasingly questioned. We evaluated whether the recently developed multi-level fiber tracking (MLFT) technique can improve tractography of the corticospinal tract (CST) in patients with motor-eloquent HGGs. Forty patients with therapy-naïve HGGs (mean age: 62.6 ± 13.4 years, 57.5% males) and preoperative diffusion MRI [repetition time (TR)/echo time (TE): 5000/78 ms, voxel size: 2x2x2 mm3, one volume at b=0 s/mm2, 32 volumes at b=1000 s/mm2] underwent reconstruction of the CST of the tumor-affected and unaffected hemispheres using MLFT in addition to deterministic DTI-based and deterministic constrained spherical deconvolution (CSD)-based fiber tractography. The brain stem was used as a seeding region, with a motor cortex mask serving as a target region for MLFT and a region of interest (ROI) for the other two algorithms. Application of the MLFT method substantially improved bundle reconstruction, leading to CST bundles with higher radial extent compared to the two other algorithms (delineation of CST fanning with a wider range; median radial extent for tumor-affected vs. unaffected hemisphere – DTI: 19.46° vs. 18.99°, p=0.8931; CSD: 30.54° vs. 27.63°, p=0.0546; MLFT: 81.17° vs. 74.59°, p=0.0134). In addition, reconstructions by MLFT and CSD-based tractography nearly completely included respective bundles derived from DTI-based tractography, which was however favorable for MLFT compared to CSD-based tractography (median coverage of the DTI-based CST for affected vs. unaffected hemispheres – CSD: 68.16% vs. 77.59%, p=0.0075; MLFT: 93.09% vs. 95.49%; p=0.0046). Thus, a more complete picture of the CST in patients with motor-eloquent HGGs might be achieved based on routinely acquired diffusion MRI data using MLFT.
Very short-term load forecasting using artificial neural networks

In a deregulated, competitive power market, utilities tend to maintain their generation reserve close to the minimum required by an independent system operator. This creates a need for an accurate instantaneous-load forecast for the next several dozen minutes. This paper presents a novel approach to very short-time load forecasting by the application of artificial neural networks to model load dynamics. The proposed algorithm is more robust as compared to the traditional approach when actual loads are forecasted and used as input variables. It provides more reliable forecasts, especially when the weather conditions are different from those represented in the training data. The proposed method has been successfully implemented and used for online load forecasting in a power utility in the United States. To assure robust performance and training times acceptable for online use, the forecasting system was implemented as a set of parsimoniously designed neural networks. Each network was assigned a task of forecasting load for a particular time lead and for a certain period of day with a unique pattern in load dynamics. Some details of this are presented in the paper.
A Fossil Paleozoic Subduction-Dominated Trench-Arc-Basin System Revealed by Airborne Magnetic-Gravity Imaging in West Junggar, NW China

A Carboniferous trench-arc-basin system related to oceanic slab subduction has been thoroughly imaged by various geophysical probing approaches and proposed for the formation of West Junggar, Northwest China, located in the southwest of the Central Asian Orogenic Belt. However, debate on the origin of West Junggar still continues. Here, we present an integrated aeronautic magnetic–gravity observation to further identify the trench-arc-basin system and constrain the subduction mode. By deploying an integrated aerial magnetic–gravity survey consisting of 66,000 survey-line kilometers from August 3, 2015 to April 22, 2016, we determine the magnetic and gravitational anomaly across the study region by using geophysical potential-field processing. Our results reveal curial crust-scale variations in magnetic and gravitational structures beneath West Junggar and that a prominent Bouguer gravity high is located between the Darbut and Karamay–Urho faults, likely corresponding to a trapped oceanic slab. Notably, the Tacheng Basin is characterized by high-frequency magnetic signal and gravity highs, as well as the Carboniferous rifting–related sedimentary cover, which could be reasonably interpreted to be a back-arc basin. Integrated with these comprehensive geological and geophysical observations across West Junggar, the previous model of West Junggar trench-arc-basin system related to a fossil intra-oceanic subduction during the Late Paleozoic is further renewed.
40-Gbps random bit generation by oversampling chaos from an injected semiconductor laser

Semiconductor lasers in chaotic oscillations have recently been utilized for random bit generation at output rates exceeding gigabits per second, which are important for high-speed numerical simulation, encryption, and communication. Although chaotic signals were successfully invoked though optical feedback into the lasers, the feedbacks inherently led to residual autocorrelation that is detrimental to the output randomness. In this paper, we experimentally demonstrate random bit generation using an optically injected semiconductor laser without feedback. Through oversampling the signal at 10 GHz as recorded by a 2.5-GHz oscilloscope, random bit generation at 40 Gbps is attained from extracting 4 bits per sample.
Modified rational method for sizing infiltration structures

A simple method is presented to size infiltration structures like infiltration basins and trenches to control storm water runoff. The runoff hydrograph is assumed to be trapezoidal in shape with a peak runoff rate calculated using the rational formula. Given the watershed time of concentration and the allowable runoff rate, the method determines the required size of the infiltration structure. A practical application section is included to demonstrate the use of the method.Key words: rational method, infiltration basin, infiltration trench, capture volume, storage time.
Acceptability of Pavement Roughness on Urban Highways by Driving Public

The driving public’s attitude toward acceptable levels of road roughness is explored using empirical data collected on urban highways. Individual driver acceptability levels are matched with international roughness index (IRI) levels to examine the existence of potential user acceptability thresholds. In particular, the observed trends are compared with the federal IRI guideline of 170 in. /mi (2.7 m/km) for acceptable ride quality recommended by FHWA in its 1998 strategic plan for the National Highway System. The research reported on appears to provide empirical support for the federal IRI guidelines that are already in existence. This study also found that IRI levels provided a very good indication of driver acceptability, which agrees with past research based on antiquated present serviceability ratings.
NEW ELLIPTIC MICROS TRIP A/4-RESONATOR FILTERS

Band-pass filters with transmission zeros at finite frequencies are implemented using Al4-resonator in microstrip technology. The finite transmission zeros are brought about by open-ended stubs which also provide the correct values of the impedance inverters to achieve the desired in-band return loss. The admittance inverters are implemented through distributed coupling in parallel coupled Al4 mictrost rip lines. A second-order filter with two finite transmission zeros is designed to demonstrate the validity of the approach .
IMPACT OF FOUR DIFFERENT OPERATING TRIALS ON PERFORMANCE OF A SEAWATER REVERSE OSMOSIS PLANT ON THE RED SEA COAST 1

Serious membrane fouling has been experienced in a seawater reverse osmosis (SWRO) plant situated on the Red Sea coast of Saudi Arabia. Four different operation trials were made (in four phases under normal and modified process conditions) to find out the optimum conditions that would minimize membrane fouling. The first trial included normal plant operation, where the coagulant (polyelectrolyte) is dosed upstream and sodium metabisulfite (SBS) downstream the media filter, ahead of the micron cartridge filter (CF). During the second trial the coagulant dosing point was shifted close to the seawater intake pump providing increased residence time for proper coagulation prior to filtration. In the third trial, to avoid any biological growth within CF, the SBS dosing was shifted to the downstream of CF. Chlorine dosing was at the intake chamber during all these trials. In the fourth trial, the plant was operated without chlorination but with the coagulant dosing as in the case of second trial. The first two trials did not improve either the pretreated seawater quality or the membrane flux, but the latter two gave some positive results. A significant decrease in the rate of ∆ P build-up across cartridge filter with increased rate of membrane fouling (∆ P) was observed during the third trial. Compared to earlier trials, the 4th trial resulted in an increase in the rate of coarse and cartridge filter clogging, a high SDI value, a lower rate of ∆ P build up across membranes and, a lower decline in flux rate. However, when this trial was
Quantum Natural Language Processing on Near-Term Quantum Computers

In this work, we describe a full-stack pipeline for natural language processing on near-term quantum computers, aka QNLP. The language modelling framework we employ is that of compositional distributional semantics (DisCoCat), which extends and complements the compositional structure of pregroup grammars. Within this model, the grammatical reduction of a sentence is interpreted as a diagram, encoding a speciﬁc interaction of words according to the grammar. It is this interaction which, together with a speciﬁc choice of word embedding, realises the meaning (or ”semantics”) of a sentence. Building on the formal quantum-like nature of such interactions, we present a method for mapping DisCoCat diagrams to quantum circuits. Our methodology is compatible both with NISQ devices and with established Quantum Machine Learning techniques, paving the way to near-term applications of quantum technology to natural language processing.
Lead-free Piezoelectric KNN-based Pin Transducers for Structural Monitoring Applications

A 2.4 mm diameter piezoelectric ceramic disc was used to construct a spring-loaded pin-type transducer for intelligent monitoring of systems. Two types of lead-free KNN-based ceramics (0.95K0.5Na0.5 (Nb0.94Sb0.06)O 3 — 0.05LiTaO3 + 1.25 mol% BaO and K0.5Na 0.5NbO3 -0.75 mol% K5.4Cu1. 3Ta 10O29) were selected as a sensing element of the pin. The piezoelectric spring-loaded pins were mounted on the corners of the aluminum plate for the performance evaluation using a laser ultrasonic technique. The signals detected by transducers with different sensing elements including lead-based ceramics have been compared. The capability of impact detection of the lead-free transducers was shown to be comparable to that of the lead-based one. It is envisaged that lead-free piezoelectrics will become the important transducer materials in the next generation nondestructive evaluation technology.
Numerical simulation of two-phase non- Newtonian fluid flow inside a microchannel

in this research, the two-phase nonNewtonian fluid flow inside the micro channel is investigated numerically. For this purpose, the finite volume method has been used. The micro channel studied in this research is based on a 100 mm × 60 mm × 20 mm plate made of polymethyl methacrylate (PMMA). Its cross section is rectangular. A corresponding model for the transition of flow patterns is established, based on several parameters such as the Weber number, the size of the micro channel, the physical properties of fluids, and the surface roughness. Four major flow patterns are observed for cyclohexane-CMC aqueous solutions two-phase flow in rectangular micro channels: droplet flow, slug flow, parallel flow and jet flow. It is found that the larger the concentration of CMC solutions and the smaller the micro channel, the wider of the regions are for the droplet flow and parallel flow. Keywords— Non-Newtonian fluid, two phase flow, finite volume method, microchannel.
Experimental Evaluation of Simulation Model for Power Losses Es- timation using 1200 V SiC MOSFET

Simulation Models are experimental evaluated for conduction and switching losses parameters in order to support proper power converter losses estimation. Firstly, Spice–models are used and experimental validated by proper double-pulse test. Based on correlated experimental and simulation losses parameters, the power converter semiconductor losses can be mapped based on power converter operation points. For this approach 1200 V SiC power devices are used as reference for analysis. The experimental results verify high–accuracy of power losses estimation based on the proposed methodology.
COMPARISON OF CONSEQUENCE ANALYSIS RESULTS FROM TWO METHODS OF PROCESSING SITE METEOROLOGICAL DATA

Consequence analysis to support documented safety analysis requires the use of one or more years of representative meteorological data for atmospheric transport and dispersion calculations. At minimum, the needed meteorological data for most atmospheric transport and dispersion models consist of hourly samples of wind speed and atmospheric stability class. Atmospheric stability is inferred from measured and/or observed meteorological data. Several methods exist to convert measured and observed meteorological data into atmospheric stability class data. In this paper, one year of meteorological data from a western Department of Energy (DOE) site is processed to determine atmospheric stability class using two methods. The method that is prescribed by the U.S. Nuclear Regulatory Commission (NRC) for supporting licensing of nuclear power plants makes use of measurements of vertical temperature difference to determine atmospheric stability. Another method that is preferred by the U.S. Environmental Protection Agency (EPA) relies upon measurements of incoming solar radiation, vertical temperature gradient, and wind speed. Consequences are calculated and compared using the two sets of processed meteorological data from these two methods as input data into the MELCOR Accident Consequence Code System 2 (MACCS2) code.
MULTI-GAIT STRATEGIES FOR A QUADRUPEDAL STARFISH SOFT ROBOT INCORPORATING MOTOR-TENDON ACTUATOR

The majority of untethered robots are developed using rigid material. The use of rigid material has several limitations, one of which is the stability of the robot when moving/walking in difficult terrain. This is a challenge in developing robots that can adapt to unpredictable areas or complex work environments. One solution offered is the development of soft robots. Soft robots have the advantage of flexibility across complex environments. However, most untethered legged soft robots are driven by pneumatic actuators that have slower and less precise responses, and soft robot surfaces are prone to tearing and breaking. In this study, the development of soft robots using motor-tendon actuators was carried out. Multi gait pattern strategies are developed for controlling the walking gait of the robot. Undulating and crawling gaits are selected as the main gaits of the robot. The gaits are generated using the sixth order Fourier series. After the gait strategy is developed and embedded in the robot, various tests are performed to test the robot's walking movements such as forward, backward, and turning on smooth and rough surfaces. The tests are performed to determine the ability of the robot to pass through small and impassable obstacles. The total robot weight is 545 grams and can carry loads up to 400 grams. Based on testing the motion strategy that has been developed using the Fourier series, the robot is able to walk on flat terrain with smooth or rough surfaces, the robot also manages to pass obstacles such as small and impassable obstacles. The range of wireless cameras that can be achieved is 60 meters, while the range for wireless robot control is 46 meters.
A Python wrapper for coupling hydrodynamic and oil spill models

This report presents a new method for coupling different hydrodynamic models with an oil spill transport model. The hydrodynamic models used are the two-dimensional (2D) TxBLEND model and the three-dimensional (3D) SELFE model. The oil spill transport model is the General NOAA Operational Modeling Environment (GNOME) developed and maintained by the National Oceanic and Atmospheric Administration (NOAA). The new coupling method is an automated approach using Python scripting to eliminate the labor-intensive manual reformatting of hydrodynamic outputs to GNOME inputs. The integrated model system is demonstrated by independently coupling GNOME to TxBLEND and SELFE and modeling a hypothetical spill in Galveston Bay.
X-band circular ring-slot antenna embedded in single-layered SIW for circular polarisation

A circularly-polarised antenna which has a novel feeding structure like a substrate integrated waveguide, a cavity-backed resonator and a conventional ring-slot antenna is proposed for right-handed circular polarisation (RHCP) in a single-layered fabrication. The CP generation and broadband impedance matching characteristics are accomplished by using a simple shorting via between the top patch and bottom ground plane and inserting inductive via arrays at the input port, respectively. A broadband impedance bandwidth of 18.74% and a RHCP axial ratio of 2.3% have been obtained under the condition of less than VSWR 2:1 and axial ratio -3 dB, respectively.
Analyzing Existing and Targeted Culture Typologies in the Light of the Strategy Document in Foundation Universities: The Case of A Foundation University

Universities are multi-cultural, complicated, social education organizations. The presence of academic and administrative employees at these organizations might result in cultural differentiation, which is influenced by changing environmental conditions and social change dynamics. The purpose of this research is to determine the foundation university's dominant current and targeted cultural typologies using a foundation university as an example and to compare them to the university's target culture typology based on an analysis of the university strategy document. This comparison will aid in defining the perspectives of the organization's members through the concept of culture to achieve the university's strategic goals. Also, the examination of the strategy document, mission, the vision of the university and at the same time questioning the organization members’ opinions about this topic fills a hole in the literature in terms of observing two sides of the coin; “rulers” and “ruled”. In addition, we need to start to gain knowledge about foundation universities’ organizational culture because we already know that cultural awareness is crucial for an organization lifetime and this knowledge comes from the analyses of it. Among the different approaches used throughout the world to define organizational culture, Cameron and Quinn's "Organizational Culture Assessment Instrument in Competing Values Framework" was employed in the study. This research was conducted with a multi-modal methodological approach by using both quantitative and qualitative methods together with the questionnaire and document analysis. According to the findings, university organization members' current (market-competition) and targeted (clan-collaboration) organizational culture typology interpretations diverge from the university's strategy on the same subject.