Miracle-dz/UniFAR-FTUs huggingface dataset:
Pond Acoustic Sampling Scheme: A draft protocol for rapid acoustic data collection in small waterbodies

Abstract Freshwater conservation is vital to the maintenance of global biodiversity. Ponds are a critical, yet often under‐recognized, part of this, contributing to overall ecosystem functioning and diversity. They provide habitats for a range of aquatic, terrestrial, and amphibious life, often including rare and declining species. Effective, rapid, and accessible survey methods are needed to enable evidence‐based conservation action, but freshwater taxa are often viewed as “difficult”—and few specialist surveyors are available. Datasets on ponds are therefore limited in their spatiotemporal coverage. With the advent of new recording technologies, acoustic survey methods are becoming increasingly available to researchers, citizen scientists, and conservation practitioners. They can be an effective and noninvasive approach for gathering data on target species, assemblages, and environmental variables. However, freshwater applications are lagging behind those in terrestrial and marine spheres, and as an emergent method, research studies have employed a multitude of different sampling protocols. We propose the Pond Acoustic Sampling Scheme (PASS), a simple protocol to allow a standardized minimal sample to be collected rapidly from small waterbodies, alongside environmental and methodological metadata. This sampling scheme can be incorporated into a variety of survey designs and is intended to allow access to a wide range of participants, without requiring complicated or prohibitively expensive equipment. Adoption of this sampling protocol would enable consistent sound recordings to be gathered by researchers and conservation organizations, and allow the development of landscape‐scale surveys, data sharing, and collaboration within an expanding freshwater ecoacoustic community—rather than individual approaches that produce incompatible datasets. The compilation of standardized data would improve the prospects for effective research into the soundscapes of small waterbodies and aid freshwater conservation efforts.
Involving Parents in Early Intervention: Therapists’ Experience of the Parent Child Relationally Informed-Early Intervention (PCRI-EI) Model of Practice

ABSTRACT Including parents of children with developmental delays in early intervention programs has been widely endorsed as best practice across the multiple disciplines that work in that context. Parents have echoed that sentiment, commenting on the benefits of being able to apply skills in broader family and community contexts. Despite a 20-plus year history of research showing the benefits of family-centred interventions, the skills required to successfully transition from therapist-lead to family-centred practice appear to have occurred through experience or chance. Systematic development of therapists’ skills including through education, mentoring and reflective supervision have been promoted as being essential to facilitating the transition. This qualitative study investigated the learning experiences of 14 allied health professionals from various disciplines as they engaged in a relationally based, family-centred model, the Parent Child Relationally Informed – Early Intervention (PCRI-EI) program. Feedback indicated the systematic approach embedded in the treatment manual combined with reflective supervision built therapists’ competence and confidence in working relationally. They reported being able to use these skills to develop therapeutically sound, family-centred partnerships with parents as well as to promote socioemotional connection for the parent and child. These findings are discussed in the context of the successful implementation of best-practice early intervention programmes.
Analysis of the Intake Locations of Salinity Gradient Plants Using Hydrodynamic and Membrane Models

The gain in net power produced by Salinity Gradient plants in river mouths due to the optimal location of water intakes is analysed in this paper. More precisely, this work focuses on stratified river mouths and the membrane-based technology of Pressure-Retarded Osmosis. A methodology for this analysis is proposed and then applied to a case study in Colombia. Temperature, salinity and water discharge data were gathered at the Magdalena river mouth to develop a hydrodynamic model that represents the salinity profile along the river channel. The net power production of a pressure-retarded osmosis plant is then estimated based on the power produced at membrane level, considering different locations for the saltwater and freshwater intakes. The most adequate locations for the intakes are then deduced by balancing higher power production (due to higher salinity differences between the water intakes) with lower pumping costs (due to shorter pumping distances from the intakes). For the case study analysed, a gain of 14% can be achieved by carefully selecting the water intakes.
Utilizing Quick Response Codes to Extend Instruction in Early Childhood Contexts

195 Vol. 25, No. 4, December 2022 YOUNG EXCEPTIONAL CHILDREN https://doi.org/10.1177/10962506211006077 DOI: 10.1177/10962506211006077 journals.sagepub.com/home/yec Article reuse guidelines: sagepub.com/journals-permissions © 2021 Division for Early Childhood Ms. Tracy is a lead preschool teacher in an inclusive, mixed age classroom. Having spent the better half of three years working with young children both with and without disabilities, Tracy has observed her students learn new skills as they grow and develop. One trend she notices is that many of her students, particularly her newer students, struggle with social interactions and completing routine tasks such as cleaning up. Data she collected suggests that the majority of these conflicts happen in the blocks center. Tracy is also concerned with Jon. Jon is a 5-year-old child with autism spectrum disorder (ASD). Jon continues to struggle to complete routine activities, such as using the toilet, getting dressed, washing hands, and cleaning his area. Jon also struggles with peer social interactions, often preferring to play by himself at the water table. Although Tracy tries her best to meet the instructional needs of all of her students, as well as the specific needs referenced in Jon’s Individualized Education Program, she wonders whether there is more she can do. Visual supports are content provided in a visual manner that help people to navigate and/or make sense of the world around them. Visual supports can be physical items, such as graphic organizers or directional signs, or can be electronic, such as infographic charts on a computer or 1006077 YECXXX10.1177/10962506211006077YOUNG EXCEPTIONAL CHILDRENQuick Response Codes / Oh-Young research-article2021
Assessment of Diversity Indices and DNA Barcoding of Parasitic Fauna Associated with Groundnut Leafminer (GLM), Aproaerema modicella Deventer (Lepidoptera: Gelechiidae)

Background: Parasitoid wasps have received a great share of heed in the biological control of pests. However, they are often difficult to identify because of their small body size and profound diversity. In this view, biodiversity indices of parasitic fauna was reckoned and proper identification of those biocontrol agents were done through morphological and molecular technique such as DNA barcoding.Methods: Biodiversity indices of parasitoid of Groundnut Leafminer (GLM), Aproaerema modicella Deventer were reckoned for three agroclimatic zones viz., Irrigated Eastern zone (IE), Rainfed zone (R) and Irrigated Western zone (IW) of Tamil Nadu. Biodiversity indices viz., Relative density, Simpson’s Index, Shannon-Wiener Index, Pielou’s Evenness Index, Margalef Index and Beta diversity were assessed for the parasitic fauna associated with GLM. Apart from this, morphological characterization of prominent parasitoids were done with the help of available literatures and taxonomic experts. The molecular characterization of parasitoids were done using mitochondrial Cytochrome Oxidase I (mtCOI). Result: The relative density of parasitoid families and species indicated the dominance of braconidae and Chelonus blackburni Cameron. Among the agroclimatic zones, rainfed zone had higher species diversity, richness and evenness. In addition, the morphological and molecular confirmation revealed that the parasitoids associated with A. modicella as Temelucha spp. , Stenomesius japonicus, Bracon hebetor, Sympiesis dolichogaster, Chelonus blackburni and Avga choaspes. The amplified sequences were submitted to NCBI database and accession numbers were obtained.
Experimental effects of a preschool STEM professional learning model on educators’ attitudes, beliefs, confidence, and knowledge

ABSTRACT Early science, technology, engineering, and math (STEM) education matters for young children’s learning and their academic trajectories (McClure et al., 2017), but teachers must be empowered and supported to effectively teach STEM subjects to all children, including dual language learners (DLLs). This study focused on a curriculum-agnostic professional learning model (Brenneman, Lange, & Nayfeld, 2019), which was co-developed with educators to positively impact attitudes, beliefs, confidence, knowledge, and ultimately, teaching practice for preschool teachers around teaching STEM and working with DLLs. Forty-seven lead preschool teachers were randomly assigned to treatment or control conditions. Treatment teachers participated in over two years of connected, reflective, multi-level experiences linked to their practice. Results showed positive effects on intervention teachers’ attitudes, beliefs, and confidence towards teaching science, math, and working with dual language learners compared to control teachers. Treatment teachers also exhibited significant increases in pedagogical and content knowledge related to teaching STEM and working with DLLs, but no significant impacts on knowledge of teaching math (numeracy). Implications and future directions are discussed.
ELC-ECG: Efficient LSTM Cell for ECG Classification Based on Quantized Architecture

Long Short-Term Memory (LSTM) is one of the most popular and effective Recurrent Neural Network (RNN) models used for sequence learning in applications such as ECG signal classification. Complex LSTMs could hardly be deployed on resource-limited bio-medical wearable devices due to the huge amount of computations and memory requirements. Binary LSTMs are introduced to cope with this problem. However, naive binarization leads to significant accuracy loss in ECG classification. In this paper, we propose an efficient LSTM cell along with a novel hardware architecture for ECG classification. By deploying 5-level binarized inputs and just 1- level binarization for weights, output, and in-memory cell activations, the delay of one LSTM cell operation is reduced 50x with about 0.004% accuracy loss in comparison with full precision design of ECG classification.
Graphene-loaded left-handed media for tunable electromagnetic surface waves

Theoretical investigation has been carried out on the tunable electromagnetic surface waves propagating along the Graphene loaded semi-infinite left-handed media (LHM) interface. The analytical modeling of the graphene has been done in the frame work of Kubo's formulation. The split ring resonators (SRRs) model and Kramers-Kronig relations-based causality principle have been used to simulate the GHz-LHMs and THz-LHMs respectively. To realize the graphene loaded LHM interface, the impedance boundary conditions (IBCs) have been employed. The dispersion curves, effective mode index, propagation length, penetration depth, phase velocity and fields profiles of surface waves supported by graphene loaded GHz-LHM and THz-LHM have been computed numerically. It has been concluded that the graphene parameters can be used to tune the characteristics of surface waves in GHz and THz range. The proposed study may have potential applications in designing the near field imaging platforms, communication devices and tunable surface wave guides.
Investigation of using granite sludge waste and silica fume in clay bricks at different firing temperatures

ABSTRACT A large amount of granite sludge waste (GSW) is produced during the granite quarry processing that has a negative impact on the environment. The main aim of this study to investigate the possibility of partial replacement of brick clay by GSW and silica fume (SF) due to the similarity of the mineralogical composition of GSW and clay. Five different series of clay to SF to GSW proportions were tried, which were (70:5:25), (70:10:20), (70:15:15), (70:20:10), (70:25:5) by weight. These bricks were mixed and molded in the dimensions of 50 x 50 x 50 mm3 and then fired at three different temperatures (700°C, 750°C and 800°C). The properties of green and fired bricks were studied as a function of waste percent. The vitrification parameters, such as compressive strength, water absorption, saturation coefficient, apparent porosity and bulk density, were determined and compared with ASTM standards. The results showed that the water absorption and compressive strength is very sensitive to the temperature changes than waste addition. It is possible to produce bricks with the highest compressive strength of 18.5 MPa at firing temperature 700°C using 70% clay, 25% SF and 5% granite sludge waste with water absorption of 18.2% and saturation coefficient 0.9 to meet the standard specification ASTM C216 grade for moderate weathering that are recommended for environmental and economic benefits.
Investigating the factors behind differences in ‘lay’ and ‘expert’ medical knowledge in the context of fever treatment in Yangon, Myanmar.

Greater social research aiming to understand the qualitative experiences of patients and healthcare workers is necessary in order to create informed health policies. A key aspect of this is acknowledging and uncovering how 'lay' and 'expert' medical knowledge interact and co-exist. This paper uses the context of fever treatment in Yangon, Myanmar, to investigate the factors behind differences between 'lay' and 'expert' medical knowledge. This cross-sectional study conducts a deductive thematic analysis of secondary qualitative data from both patients and medical doctors using an adapted form of Amartya Sen’s capability approach framework. Results uncover how education, socially rooted collective knowledge and unregulated pharmacies drive differences between 'lay' and 'expert' medical knowledge. The results of this paper highlight the interdisciplinary nature of health, meaning health systems should be considered within their sociological, political and economic contexts. Appreciating the complexity of how health is understood by populations can allow policymakers to form a stronger health system by creating contextualised policies and health interventions for the general public that cater to the diversity of narratives within health systems and beliefs.
Synthesis and Characterization of Amide Stationary Phases for the Determination of Sulfonamides by Sequential Injection Chromatography

ABSTRACT The synthesis of amide (butyl, cyclohexyl, and phenyl) modified silica and the use as stationary phases in sequential injection chromatography are described. The system was tested on the isocratic separation of seven sulfonamides (sulfachloropyridazine, sulfadimethoxine, sulfamethazine, sulfamethoxazole, sulfamethoxypyridazine, sulfaquinoxaline, and sulfathiazole) using each stationary phase with mobile phases composed of acetonitrile/water at a flow rate of 0.45 mL min−1. A mixed mode retention mechanism of sulfonamides in the stationary phases was obtained, including dipole-dipole, π-π, and hydrogen bonding interactions. The most appropriate phase for the separation of sulfonamides was phenylamide. The chromatographic behavior was confirmed using density functional theory of the interaction between sulfamethoxazole and the stationary phases.
Dimensions of GST on Small and Moderate Business Units: A Systematic Review

Implications of indirect tax namely GST’s implications on small and medium businesses are an emerging area of research in India. Relevant literature of Indian and other nations up to 2020 has been studied and it covers published and also grey literature materials. Adequate caution and consideration have been applied in choosing the appropriate literature. Understandings from the significantly sourced literature have been thematically analysed and presented. The outcome of this work makes clear the dimensions of GST in relation to opportunities for small and moderate business houses, experiences of other countries and the current challenges for small and moderate businesses in the Indian context. One of the significant findings is that implications of GST on MSMEs across various industries would be diverse and also vary from politically sensitive industries of each state. This review is a step towards further research and helps the MSME owners and policymakers in making informed decisions.
An adaptive feedback linearized model predictive controller design for a nonlinear multi‐input multi‐output system

In this work, an adaptive feedback linearized model predictive control (AFLMPC) scheme is proposed to compensate system uncertainty for a class of nonlinear multi‐input multi‐output system. Initially, a feedback linearization technique is used to transform the nonlinear dynamics into an exact linear model, thereafter, a model predictive control scheme is designed to obtain the desired tracking performance. A suitable constraint mapping algorithm has been developed to map input constraints to the new virtual input of the proposed control scheme. The proposed control scheme utilizes multiple estimation model and the concept of second‐level adaptation technique Pandey et al. (2014) to handle the parametric uncertainty in real‐time. Hence, the adaptive term in the control scheme is used to counteract the effect of model uncertainties and parameter adaptation errors. The effectiveness of the proposed AFLMPC control algorithm has been verified successfully in simulation as well as the experimental setup of the TRMS model. The unavailable states of the nonlinear system have been estimated using an extended Kalman filter based state observer. The performance of the proposed control algorithm has been compared with other existing nonlinear control techniques in simulation and experimental validation.
Unimodal-Bio-GAN: Keyless biometric salting scheme based on generative adversarial network

Cancellable biometrics enabled us to develop robust authentication systems by replacing the storage of the original biometric template with another secured version. A technique called biometric salting uses a parameter (key) and an invertible function to transform the human biometrics features into a secured format that can be protected and stored securely in a biometric database system. The salting key plays a main role in the success of this transformation, which makes it robust or vulnerable to many security attacks. One of the main challenges that faces biometrics' researchers currently is how to design and protect such a salting key considering two basic measures: security and recognition accuracy. In this article, we propose unimodal-Bio-GAN, a reliable keyless biometric salting technique based on standard generative adversarial network (GAN). In unimodal-Bio-GAN, a random permuted version of the human biometric data is implicitly considered as a salting key and required only during the enrolment stage, which increases the system reliability to overcome different security attacks. The experimental results of unimodal-Bio-GAN using the CASIA Iris-V3-Internal database outperform the previous methods and its security efficiency is analysed using different attack types.
Oral Tradition of Pesantren as a Source of Studying IPS in MI / SD

The purpose of this article is to understand the oral tradition of the pesantren, planning the development of social studies learning resources for MI / SD. This research using qualitative approach with ethnographic research type, collecting data using observation, interviews, and documentation. The validity of the data was done by confirming the results of observations, interviews, documentation. Data analysis used the interactive model of Miles & Huberman. The results showed that there are so many oral traditions in Indonesia, which are in line with learning at Madrasah Ibtidaiyah. There are oral traditions that exist in pesantren, which include mauludan, manaqiban, tahlil and talqin. Henceforth, this tradition collaborates as a development of social studies learning resources in MI / SD, especially in grade IV on primary competency point 3.3. Related to the use of oral traditions as social studies teaching materials, three things must be considered, namely: 1) its relevance to the Social Studies education curriculum, especially Basic Competencies; 2) rich in values or attitudes. Besides, the use of oral traditions as social studies teaching materials can be carried out through the three stages of the Hannafin and Peck model, namely: 1) analysis; 2) design; and 3) development and implementation.
Teacher Training's Needs in University Context: A Case Study of a Chilean University of Applied Sciences

Frequently, the teacher training programs in Chilean universities are designed from a generic vision of pedagogical competencies (not necessarily specialized for a particular discipline) and in form of face-to-face activities. The new demands of the society and the economy, the constant specializations of the scientific fields, and the incorporation of new technologies for teaching and learning make that the typical contemporary forms for the teacher academic training must be reviewed and analyzed. The main goal of this paper is to present the results of a survey about teaching needs on Engineering Pedagogy in engineering departments of INACAP (a Chilean university of applied sciences). In general, the in-strument and indicators seek to obtain information about: (i) needs/demands related to engineering didactic fundamentals, (ii) requirements for the structuring and assessment of teaching-learning processes in a university context, (iii) requirements for the design and evaluation of face-to-face as well as online teaching-learning activities in engineering, among others. The project was led by the International Center of Engineering Education (CIEI) at the University of Talca (Chile) in cooperation with the academic staff of INACAP at the Talca campus, under the pedagogical support of the Technische Universität Dresden (Germany), Faculty of Education. Based on these research results and on the IGIP Curricula, a teacher training program for the academic staff of the engineering schools in online modality was designed and implemented.