Miracle-dz/UniFAR-FTUs huggingface dataset:
Tac-Trace: A Tangible User Interface-Based Solution for Teaching Shape Concepts to Visually Impaired Children

A novel, low-cost, Arabic language tangible user interface (TUI)-based solution for teaching and reinforcing the concepts of planar shapes and their relationships to visually impaired (VI) children is presented. The solution employs a computer vision-based system to track tagged 3D-printed objects which children can manipulate to receive audio instructions and feedback in the context of various activities for learning progressively difficult shape concepts in a systematic manner. A graphical user interface (GUI) is also provided for the teachers to create and manage student accounts, track their students’ individual progress and download and print the templates and models of the tangible tokens along with their barcodes. The aim is to provide an engaging, accessible solution that would mitigate the demands on the time, efforts and financial resources of the teachers while allowing children to autonomously learn and review shape concepts at their own pace. By utilizing off-the-shelf components for setting up the TUI and providing templates and CAD models for generating the tangible tokens, we have endeavored to make the system affordable and easily reproducible. The system has been developed in consultation with teachers for VI children to ensure its compliance with current teaching and classroom practices. Initial evaluations of the system with VI children and their teachers have validated its potential and yielded valuable design recommendations which would not only inform the design of future iterations of our system but also benefit other researchers seeking to build similar systems.
COVID-19 impacts on early career trajectories and mobility of doctoral graduates in Aotearoa New Zealand

ABSTRACT This article explores how doctoral graduates in Aotearoa New Zealand are being impacted by the COVID-19 pandemic. A survey captured the employment and mobility situations of doctoral graduates from 2019 to early 2021 from six of the eight universities in NZ. The 406 survey responses were analysed using descriptive statistics, as well as drawing on Cognitive Information Processing (CIP) theory in an inductive analysis of freeform comments. Most respondents were aspiring to academic careers, but the pandemic led to the loss of job offers for 19.2% and altered career plans for 60.6%. Family circumstances impacted career decisions for 21.4% and these were complicated by mobility difficulties with border closures and visa issues. The impacts of the pandemic on careers were significantly greater for international graduates. The qualitative analysis revealed themes of uncertainty, complications, pragmatism and academia. Using CIP, it is apparent that the pandemic has created a more complex job environment and heightened stress and anxiety over career and mobility options. As shown in our conceptual model, NZ universities need to better prepare graduates for the landscape of career possibilities, making students aware of their attributes, supporting their wellbeing, and helping them navigate the complexity of the current job environment.
Occurrence of Aflatoxin M1 in Cow, Goat, Buffalo, Camel, and Yak Milk in China in 2016

In this present study, 195 cow milk, 100 goat milk, 50 buffalo milk, 50 camel milk, and 50 yak milk samples were collected in China in May and October 2016. The presence of aflatoxin M1 (AFM1) was determined using enzyme-linked immunosorbent assay method. For all cow milk samples, 128 samples (65.7%) contained AFM1 in concentrations ranging from 0.005 to 0.191 µg/L, and 6 samples (3.1%) from Sichuan province in October were contaminated with AFM1 above 0.05 µg/L (EU limit). For all goat milk samples, 76.0% of samples contained AFM1 in concentrations ranging from 0.005 to 0.135 µg/L, and 9 samples (9.0%) from Shanxi province in October were contaminated with AFM1 above 0.05 µg/L. For all buffalo milk samples, 24 samples (48.0%) contained AFM1 in concentrations ranging from 0.005 to 0.089 µg/L, and 2 samples collected in October were contaminated with AFM1 above 0.05 µg/L. Furthermore, 28.0% of samples contained AFM1 in concentrations ranging from 0.005 to 0.007 µg/L in camel milk samples, and 18.0% of samples contained AFM1 in concentrations ranging from 0.005 to 0.007 µg/L in yak milk samples. Our survey study has expanded the current knowledge of the occurrence of AFM1 in milk from five dairy species in China, in particular the minor dairy species.
Indicadores para evaluar la adaptación al cambio climático a través del ecoturismo

Si bien la adaptación al cambio climático se concentra en la revolución tecnológica de energías verdes llamada adaptación gris, aún quedan por explorar las poco mencionadas adaptaciones verde e híbrida, correspondientes a prácticas como el ecoturismo. Por lo tanto, este trabajo busca destacar la adaptación a través del ecoturismo. Debido a que no existe un manual exclusivo sobre la adaptación al cambio climático y turismo, se adaptó la metodología de análisis multicriterio propuesta por la Sociedad Alemana de Cooperación Internacional, cuyos criterios son seleccionados a través de indicadores con ayuda de los métodos A.D.A.P.T. y Delphi, y en el cual 30 expertos de categoría internacional evalúan 983 indicadores. Los resultados representan un aporte significativo a la adaptación al cambio climático y turismo al obtener 25 indicadores precisos, así como la discusión sobre la dificultad y el desorden de los indicadores propuestos por manuales internacionales que podrían ocasionar una mala adaptación, la dificultad para tomar decisiones y la selección de medidas erróneas. Por último, subrayamos la necesidad de recuperar el verdadero ecoturismo e implementarlo como medida de adaptación.
An Explainable and Reliable Facial Expression Recognition System for Remote Health Monitoring

Remote Health Monitoring (RHM) appears as a promising solution for continuous and better healthcare, especially in the rural areas where the basic medical facilities are scarce or often out of reach. Generally, the main focus is on the monitoring of physiological signals (i.e. ECG, EEG) or activities. However, the overall emotional state of the remotely monitored patients is often underestimated due to the complexity of this task. Consequently, it is crucial to propose RHM -suitable technologies for explainable and reliable emotional state recognition. In this work, a free-position model to detect emotion and facial action units (FAU) is proposed. The proposed method has been validated on the public CK + dataset and shows very promising results in terms of the explainability of the obtained results and performances, which are competitive in comparison with the state-of-the-art (an average accuracy of 93.4 % over all AUs). In addition, the lightweight architecture of the proposed method as well as its low number of parameters, in comparing with other FER models, make it suitable for resource-constrained embedded systems and open the ways for its wide adoption in remote health monitoring applications.
A Novel Low Power Single Bit SRAM Cell Using Quasi-Adiabatic Logic

Static Random Access Memory (SRAM) is a part of physical memory which is volatile, faster and power hungry. It draws a significant amount of power in comparison to other components of a computer, which is why reducing power consumption of SRAM contributes to the reduction of power consumption of overall system. Different circuit design techniques are introduced so far, to lower the power consumption. Adiabatic is a promising circuit design technique for low power VLSI design. Primarily, adiabatic logic can be divided into two kinds; Asymptotically adiabatic logic and Quasi-adiabatic logic [1]. In this paper, adiabatic is used to mean quasi-adiabatic. The main principle of adiabatic logic is to slowing down the charging and discharging process to reduce the energy dissipation and power consumption. Adiabatic Logic is more effective for the ultra-low power applications where low power consumption is more prioritized than speed. In this paper, a SRAM cell is proposed using a novel Quasi-Adiabatic Logic which draws less power than its predecessors. Simulations are performed on Cadence Virtuoso using gpdk090.
A 8pW Noise Interference-Free Dual-Output Voltage Reference for Implantable Medical Devices

This paper presents a novel pico-watt dual-output voltage reference for implantable medical devices (IMDs). In IMDs, excellent capabilities to reject the noise from power source and work with low power consumption and small active area are critical for voltage references. In the proposed design, a dual-output reference voltage is generated through two sets of 2-transistor (2-T) structure and a shared 4-bit trimming circuit to reduce the effects of process variations. At a typical corner, the proposed circuit generates two reference voltages Vref1 and Vref2 of about 88mV and 228mV and the voltage difference is 0.756mV and 6.546mV respectively from 0 °C to 120 °C, The noise rejection ratio greater than 35dB achieved in the simulation shows that Vref2 has a strong ability to suppress the noise of Vref1. Therefore, two noise-isolated reference voltages are generated, providing accurate and interference-free reference voltages for noisy and noiseless functional circuits. Furthermore, the power consumption is only 8.52 pW at room temperature and the active area is only 0.0019 mm2.
Clinical strains of Mycobacterium tuberculosis exhibit differential lipid metabolism-associated transcriptome changes in in vitro cholesterol and infection models

Abstract Many studies have identified host-derived lipids, characterised by the abundance of cholesterol, as a major source of carbon nutrition for Mycobacterium tuberculosis during infection. Members of the Mycobacterium tuberculosis complex are biologically different with regards to degree of disease, host range, pathogenicity and transmission. Therefore, the current study aimed at elucidating transcriptome changes during early infection of pulmonary epithelial cells and on an in vitro cholesterol-rich minimal media, in M. tuberculosis clinical strains F15/LAM4/KZN and Beijing, and the laboratory H37Rv strain. Infection of pulmonary epithelial cells elicited the upregulation of fadD28 and hsaC in both the F15/LAM4/KZN and Beijing strains and the downregulation of several other lipid-associated genes. Growth curve analysis revealed F15/LAM4/KZN and Beijing to be slow growers in 7H9 medium and cholesterol-supplemented media. RNA-seq analysis revealed strain-specific transcriptomic changes, thereby affecting different metabolic processes in an in vitro cholesterol model. The differential expression of these genes suggests that the genetically diverse M. tuberculosis clinical strains exhibit strain-specific behaviour that may influence their ability to metabolise lipids, specifically cholesterol, which may account for phenotypic differences observed during infection.
Cycloheximide promotes type I collagen maturation mainly via collagen prolyl 4-hydroxylase subunit α2

Aberrant deposition of collagen is associated with cancer development and tissue fibrosis. Proline hydroxylation, catalyzed by collagen prolyl 4-hydroxylases (C-P4Hs), is necessary for collagen maturation and secretion. Here, we try to evaluate the mechanism of the regulation of CHX on collagen maturation. Using pepsin digestion, liquid chromatograph mass spectrometry and gene knockout, we find that treatment of mouse embryonic fibroblasts with cycloheximide (CHX) increases type I collagen proline hydroxylation partially via P4HA1 and mainly via P4HA2. Western blot analysis results show that CHX treatment reduces type I collagen but does not obviously impact the level of P4HA1/2 protein in the endoplasmic reticulum, which enhances the molar ratio of P4HA1/2 to type I collagen, and coimmunoprecipitation results confirm that more P4HA1/2 can bind to each type I collagen. Since C-P4Hs possess the capability to hydroxylate proline independent of ascorbate for a few cycles, this enhanced binding between P4HA1/2 and type I collagen can partially explain how CHX stimulates type I collagen maturation.
SPORTS INJURY SURVEY ON BASKETBALL BRANCH ATHLETES IN UNIT KEGIATAN MAHASISWA STKIP PGRI JOMBANG BASKETBALL CLUB

This study aims to identify the types of sports injuries for basketball players in UKMSTKIPPGRI John Bang. The survey method is a descriptive method using the survey method. The subjects of this survey were UKM STKIP PGRI Jombang junior basketball players, totaling 35 people, and the survey sample consisted of 21 people with sampling criteria. The location of the survey was conducted at STKIPP GRI John Van's GOR Basketball Club. The survey tool used to collect the data in this survey was a written exam, and interviews and observations of the survey results were presented in tabular form. We collected data using a question-based interview test to get an idea of ​​the results of the survey. Based on data analysis, the results show that the types of injuries most often received by UKM STKIP PGRI Jombang junior athletes in basketball sports are knee injuries, ankle injuries (ankle) shoulder injuries, and up to 21 samples. Showed that they had 100% of these injuries, shoulder injuries 95.2%, hamstring injuries 18 cases, wrist injuries 85.7 cases 61.9%, elbow injuries 13 cases 57.1%, waist injuries 8 cases 38.1-6 finger injuries, 28.6%, heel injuries 5 cases, 23.8%.
School principals' mental health and well-being under threat: A longitudinal analysis of workplace demands, resources, burnout, and well-being.

Schools are critical organisational settings, and school principals face extreme stress levels. However, there are few large-scale, longitudinal studies of demands and resources that drive principals' health and well-being. Using the Job Demands-Resources (JD-R) framework, we evaluated longitudinal reciprocal effects over 3 years relating to job demands, job resources (resilience), job-related outcomes (burnout and job satisfaction), and personal outcomes (happiness and physical health) for a nationally representative sample of 3683 Australian school principals. Prior demands and resources led to small changes in subsequent outcomes, beneficial effects of resources, and adverse effects of demands, particularly for job-related outcomes. Furthermore, we also found reverse-reciprocal effects, prior outcomes (burnout and job satisfaction) influencing subsequent job characteristics. However, in response to substantively and theoretically important research questions, we found no support for Yerkes-Dodson Law (nonlinear effects of demands) or Nietzsche effects and inoculation effects (that which does not kill you, makes you stronger; manageable levels of demands build resilience). Relating our study to new and evolving issues in JD-R research, we offer limitations of our research-and JD-R theory and research more generally-and directions for further research in this essentially unstudied application of JD-R to school principals' mental health and well-being.
The Twofold Role of Osteogenic Small Molecules in Parkinson's Disease Therapeutics: Crosstalk of Osteogenesis and Neurogenesis

Deemed one of the most problematic neurodegenerative diseases in the elderly population, Parkinson's disease remains incurable to date. Ongoing diagnostic studies, however, have revealed that a large number of small molecule drugs that trigger the BMP2-Smad signaling pathway with an osteogenic nature may be effective in Parkinson's disease treatment. Although BMP2 and Smad1, 3, and 5 biomolecules promote neurite outgrowth and neuroprotection in dopaminergic cells as well, small molecules are quicker at crossing the BBB and reaching the damaged dopaminergic neurons located in the substantia nigra due to a molecular weight less than 500 Da. It is worth noting that osteogenic small molecules that inhibit Smurf1 phosphorylation do not offer therapeutic opportunities for Parkinson's disease; whereas, osteogenic small molecules that trigger Smad1, 3, and 5 phosphorylation may have strong therapeutic implications in Parkinson's disease by increasing the survival rate of dopaminergic cells and neuritogenesis. Notably, from a different perspective, it might be said that osteogenic small molecules can possibly put forth therapeutic options for Parkinson's disease by improving neuritogenesis and cell survival.
MM-RCNN: Toward Few-Shot Object Detection in Remote Sensing Images With Meta Memory

In the area of optical remote sensing image processing, object detection is among the utmost essential and difficult tasks. By virtue of the excellent feature representation abilities of deep convolutional neural networks (DCNNs), the performance of remote sensing object detection has recently increased dramatically. However, DCNN-based methods necessitate sufficient labeled training samples and tend to experience a considerable performance fall when training examples are insufficient. Many of the recently developed few-shot object detection (FSOD) methods attempt to solve the issue using the idea of meta-learning, which intends to extract knowledge that can be generalized across various tasks. Despite its success, the negligence of the knowledge learned in the past and interclass correlations hinder the detection ability of novel classes. In this article, we propose a new meta-memory-based FSOD approach named MM-RCNN. Specifically, MM-RCNN adopts a memory module to store each category’s knowledge learned in the training stage and the memory-based external attention (MEA) to aggregate all the categories’ information simultaneously. Based on MEA, we design two feature enhancement modules for the region proposal network (RPN) and detection head to boost the performance. Experiments over two remote sensing benchmarks, i.e., DIOR and NWPU VHR10, verify the capability of our method (0.239 and 0.557 average mAP across all settings).
Raman scattering and photoluminescence of As ion-implanted ZnO single crystal

We have converted the surface of undoped ZnO bulk into the As-doped p-ZnO layer by means of the As ion implantation method. After postimplantation annealing, the As-related properties were investigated by using Raman scattering and photoluminescence (PL) experiments. The Raman spectrum shows that the E2high peak obtained from the As-doped p-ZnO shifted toward the higher energy side of 0.55 cm−1 in comparison with that of the undoped ZnO bulk. This result is related to the stress increment of the sample surface due to the As implantation. After the As-implanted p-ZnO annealed at 800 °C, the PL spectroscopy reveals the neutral acceptor bound exciton emission (A∘,X) at 3.3589 eV. This emission shows a tendency to quench the intensity and extend the emission linewidth with increasing temperatures. Also, two As-related peaks associating with recombination emissions between free electrons and acceptor holes were observed at 3.3159 and 3.2364 eV. In addition, the I–V characteristic curves of the p–n homojunction.
CryoCMOS Characterization Strategies and Challenges

The use of CMOS circuits for the control and readout of qubits is a step that will speed up the process of creating more complex qubit arrays than is currently possible. This paper focuses on the characterization strategies and challenges entailed in using CMOS technology at low cryogenic temperatures, where qubits can operate, replacing long interconnecting cables to benchtop instruments. The restricting cooling power of a cryostat, determines the system design between the quantum layer of qubits and the classical layer of circuits. Several architectures and device technologies have been proposed to house both qubits and circuits at the same stage of a cryogenic chamber. New cryogenic transistor, devices and silicon layer models are needed for a certain CMOS technology and process to be used for CryoCMOS circuit design at a selected temperature. Characterization approaches and the necessary extracted parameters for modelling are being determined and can potentially form a new protocol as the system becomes more complex than a typical probe station.
The surface density criterion and its application to linear/circular boundary detection and planar/spherical surface approximation

The authors introduce a validity measure called surface density, and develop an unsupervised shell clustering algorithm for the detection of circles in intensity images and for spherical approximation of surfaces in range images. The algorithm can be used when the number of clusters is unknown. Unlike existing algorithms, the new algorithms can handle the degenerate case of lines and planes, and are more robust in the presence of noise. <<ETX>>
Production, transfer and injection of charged particles in traps and storage rings

The potential of electromagnetic traps and storage rings for precision measurements in atomic and nuclear physics is greatly enhanced by combining the features of both, particularly when external sources of exotic ions can also be used. Such applications require the transfer of collections of ions between these devices. The basic engineering principles for designing such transfer are presented in terms of projections of the 6-dimensional phase space volume of charged particle collections into momentum-displacement action planes. The significance of such projections is discussed as well as some of the general features of computational methods to obtain such projections from numerical simulations of charged particle motions within and between the devices. Some examples of the use of the design methods are presented.
ELEMENTARY DISKS IN TRUNCATED TRIANGULATIONS

Abstract. A normal surface is determined by how the surface under considerationmeets each tetrahedron in a given triangulation. We call such a nice embeddeddisk, which is a component of the intersection of the surface with a tetrahedron, an elementary disk . We classify all elementary disk types in a truncated ideal triangu-lation. 1. Introduction Normal surface theory is a powerful tool to study 3-manifolds in combinatorialmethod. The ordinary normal surface theory was introduced by Haken consideringcompact 3-manifolds with a triangulation [1]. But by being developed the nor-mal surface Q -thoery by J.L. Tollefson [5], it could be extended to non-compact3-manifolds with an ideal triangulation [3] including hyperbolic 3-manifolds. Toobtain desired results, we often need to work on a \good triangulation" like 0- or1-e–cient triangulations [2] or reconstruct triangulation by using phachner moves,by crushing or by subdividing, etc. In [4], the normal surface theory is extended totruncated triangulations which is obtained by cutting oﬁ ideal vertices from idealtriangulation. In this paper, we classify all elementary disk types for each truncatedtetrahedron to support the theory on truncated triangulation in [4]. Even a hugenumber of elementary disk types it is necessary to work on truncated tetrahedrarather than subdivision into ordinary tetrahedra since the truncated triangulationpreserves the structure of original ideal triangulation so that we can pull back theresults on the truncated triangulation to the original ideal triangulation.