Miracle-dz/UniFAR-FTUs huggingface dataset:
Waterbird habitat loss: fringes of the Yellow and Bohai Seas along the East Asian–Australasian Flyway

Natural wetlands along the coasts of the Yellow and Bohai Seas provide key stopover sites for migratory waterbirds. However, these wetlands are facing land loss. Understanding how natural wetland loss influences habitat is important for habitat management. We used species distribution models to report changes in area of suitable habitat and analysed the effects of natural wetland loss on habitat for 80 waterbird species of four functional categories (shorebirds, ducks, herons, gulls) between 2000 and 2015 beside the Yellow and Bohai Seas. Between 2000 and 2015, 1794.8 km2 (29.27%) of coastal wetland was lost to development, most of which were tidal flats that were lost by conversion into aquaculture and salt pan habitat or land for construction. Consequently, habitat for 73 of these 80 species has decreased in area over this time period. Generally, the proportional decline in habitat suitable for duck species was less than that for shorebirds, and the proportional decline in suitable habitat was not significantly different between National Protected Species and Non‐National Protected Species. The proportional loss of tidal flats that formerly represented suitable habitat was also significantly higher for shorebirds, herons and gulls than for ducks. Because more duck species exploit aquaculture and salt pan habitat that was converted from tidal flats habitats, such conversion of tidal flats poses a greater threat to shorebirds, herons and gulls than to ducks. Preventing further reclamation of tidal flats and managing artificial wetlands are priorities for waterbird conservation.
Toward Human-Friendly ASR Systems: Recovering Capitalization and Punctuation for Vietnamese Text

SUMMARY Speech recognition is a technique that recognizes words and sentences in audio form and converts them into text sentences. Currently, with the advancement of deep learning technologies, speech recognition has achieved very satisfactory results close to human abilities. However, there are still limitations in identiﬁcation results such as lack of punc-tuation, capitalization, and standardized numerical data. Vietnamese also contains local words, homonyms, etc, which make it di ﬃ cult to read and understand the identiﬁcation results for users as well as to perform the next tasks in Natural Language Processing (NLP). In this paper, we propose to combine the transformer decoder with conditional random ﬁeld (CRF) to restore punctuation and capitalization for the Vietnamese automatic speech recognition (ASR) output. By chunking input sentences and merging output sequences, it is possible to handle longer strings with greater accuracy. Experiments show that the method proposed in the Vietnamese post-speech recognition dataset delivers the best results.
Odds of fussy eating are greater among children with obesity and anxiety

Fussy eating has been associated with autism spectrum disorder (ASD), attention‐deficit/hyperactive disorder (ADHD), anxiety, and depression. Despite these disorders being prevalent in obesity treatment, no studies have been published on the association of fussy eating in children with obesity and these disorders. Understanding fussy eating in children with obesity and comorbid disorders is important as acceptance of healthy foods tends to be low, especially in children with sensory sensitivities.
A qualitative exploration of the acceptability of a cognitive behavioural therapy self-help book for people with psychosis in Nicaragua

ABSTRACT Background Cognitive Behavioural Therapy (CBT) self-help interventions have become a popular tool in High-Income Countries (HIC) to support people living with psychosis. There is limited research of this in Low– and Middle-Income Country (LMIC) contexts. We report findings of a qualitative investigation of a self-help book for psychosis in Nicaragua in Central America. Methods Ten service users who self-identified as having psychosis were recruited from a mental health non-governmental organisation (NGO). Participants were given a Spanish version of a popular self-help book developed in the UK. They had four weeks to familiarise themselves with the book. Following this, we asked participants about their experiences of the book via an open ended questionnaire and a focus group discussion. Results We conducted an inductive content analysis on the data. Evaluations of the book were positive. The book was considered easy to understand. The exercises were useful for coping with symptoms, as well as for recognising and managing relapse. Case studies were perceived useful in terms of reducing stigma and promoting self-acceptance. Discussion The data highlight potential acceptability of CBT self-help books in the Nicaraguan context. We make recommendations for further research and evaluation to build on this signal of acceptability.
An Action Research on Teaching Natural Numbers to the First Grade Primary School Student with Low Readiness

This study was designed as an action research with the aim of overcoming the deficiencies of a first-grade student with a lower level of readiness in mathematics. The participant of the study was a first grader studying in a public primary school in the district of Haymana, Ankara during the second semester of the 2018-2019 academic year. The teacher’s inclass observations, examination of the students’ homework notebooks, and familial interviews were taken into consideration in the selection of the participant. Observations and interviews were conducted as a preliminary study to determine the student's level of readiness for mathematics lessons. İt was seen that there were familial and educational reasons for the students to have difficulty in learning mathematics subjects. İn addition, an action plan was prepared because the student was behind his peers in terms of adaptation to school, literacy, and social development and it was aimed to obtain the first term gains. The study revealed that the student was successful in activities such as rhythmic counting, meaningful counting, one-to-one correspondence, quantity comparisons, addition, and subtraction while his confusion with number conservation remained. As a result of the obtained findings, it is predicted that raising the awareness of parents about the readiness of children of preschool age will positively affect their school success and hinder the problems described here.
Effect of Chemical Reclamation on the Physiological and Chemical Response of Rice Grown in Varying Salinity and Sodicity Conditions

Salinity and sodicity are the major abiotic constraints that prevail in arid and semi-arid regions. Proper management is required for productive use of this land. Reclamation of sodic and saline-sodic soils is highly site-specific that describes the diverse response of different soils to different amendments. These reclamation practices also alter the plant's physiological and ionic characteristics. This experiment aimed to better understand the physiological and ionic responses of rice crop at different salinity/sodicity levels. A lysimeter experiment was set forth with soil having ECe (dS m-1):SAR (mmol L-1)1/2 levels as 4:20, 8:40, 12:60 and 16:80 and all the levels were treated with organic (farm manure at 25 Mg ha-1) and inorganic (gypsum at 100% soil gypsum requirement (SGR) and sulphuric acid equivalent to 100% SGR) amendments keeping no ammendment as control. Results revealed that the maximum relative increase in physiological attributes (photosynthetic rate, transpiration rate, stomatal conductance and total chlorophyll contents), ionic contents (nitrogen, potassium and K:Na ratio) and growth of rice were recorded with sulphuric acid application followed by gypsum. On an average 25%, 31% and 45% increase in biological yield, plant height and paddy yield, respectively was observed with sulphuric acid application over control. It is concluded that sulphuric acid and gypsum both were the best amendments for reclamation of soil having a low level of salinity/sodicity whereas, at higher salinity/sodicity levels, only sulphuric acid seemed better for improved rice production. © 2021 Friends Science Publishers
Performance Evaluation of Online Machine Learning Models Based on Cyclic Dynamic and Feature-Adaptive Time Series

SUMMARY Machine learning is becoming an attractive topic for researchers and industrial ﬁrms in the area of computational intelligence because of its proven e ﬀ ectiveness and performance in resolving real-world problems. However, some challenges such as precise search, intelligent discovery and intelligent learning need to be addressed and solved. One most important challenge is the non-steady performance of various machine learning models during online learning and operation. Online learning is the ability of a machine-learning model to modernize information without retraining the scheme when new information is available. To address this challenge, we evaluate and analyze four widely used online machine learning models: Online Sequential Extreme Learning Machine (OSELM), Feature Adaptive OSELM (FA-OSELM), Knowledge Preserving OSELM (KP-OSELM), and Inﬁnite Term Memory OSELM (ITM-OSELM). Speciﬁcally, we provide a testbed for the models by building a framework and conﬁguring various evaluation scenarios given di ﬀ erent factors in the topological and mathematical aspects of the models. Furthermore, we generate di ﬀ erent characteristics of the time series to be learned. Results prove the real impact of the tested parameters and scenarios on the models. In terms of accuracy, KP-OSELM and ITM-OSELM are superior to OSELM and FA-OSELM. With regard to time e ﬃ ciency related to the percentage of decreases in active features, ITM-OSELM is superior to KP-OSELM.
THE EFFECT OF HUMANISTIC APPROACH ON STUDENTS’ LEARNING MOTIVATION OF CLASS XI OF SMA NEGERI 3 TARUTUNG DURING COVID-19 PANDEMIC

Abstract: The purpose of study is to determine whether there is a positive and significant effect of humanistic approach on learning motivation of class XI students of SMA Negeri 3 Tarutung during Covid-19 pandemic. This research is quantitative descriptive by using descriptive statistic method. The population is 143 students of class XI and the sample of 25%, namely 36 students were taken randomly. A closed questionnaire was used as the instrument for the data collection. The data processing and analysis techniques used simple linear regression method with t-test. The regression equation was Y = 2.5 + 0.21 X + e. The value of X was positive value, it indicated that the better humanistic approach is applied, the more student motivation will be. Based on the data analysis, it was known that the significance value of the humanistic approach variable was 0.047. The results show that the significance value (0.047) is smaller than the value of 0.050 (α). Therefore, it is concluded that H0 is rejected and Ha is accepted. It means that the humanistic approach has a positive and significant effect on students’ learning motivation. Abstrak: Tujuan penelitian ini untuk mengetahui ada tidaknya pengaruh yang positif dan signifikan pendekatan humanistik oleh guru terhadap motivasi belajar siswa kelas XI SMA Negeri 3 Tarutung pada masa pandemi Covid-19. P enelitian ini deskriptif kuantitatif dengan menggunakan metode statistik deskriptif. Populasi 143 siswa kelas XI dan sampel 25 % yaitu 36 orang diambil secara random.Teknik pengumpulan data dengan angket tertutup. Teknik pengolahan dan analisis data menggunakan metode regresi linier sederhana dengan uji-t. P ersamaan regresi yaitu Y = 2,5 + 0,21 X + e . Nilai X adalah nilai positif, ini menunjukkan bahwa semakin baik pendekatan humanisti k dilakukanguru akan mengakibatkan motivasi belajar siswa semakin meningkat. Dari hasil analisis diketahui bahwa nilai signifikansi variab el pendekatan humanisti k oleh guru adalah sebesar 0,047. Karena nilai signifikansi 0,047 lebih kecil daripada nilai 0,050 (α) maka disimpulkan bahwa H0 ditolak dan Ha diterima. Ini berarti bahwa pendekatan humanisti k oleh guru mempunyai pengaruh yang positif dan signifikan terhadap motivasi belajar siswa.
Perspectives on the Initial Adoption of Multitiered Systems of Support for Behavior

Although the number of U.S. schools implementing multitiered systems of support for behavior (MTSS-B) continues to grow, most schools have still not adopted these evidence-based frameworks. We examined the views of educators (N = 561) at the outset of adopting MTSS-B in their schools or districts. Our survey addressed the (a) reasons schools and districts decided to adopt MTSS-B, (b) challenges they anticipated with respect to implementation, and (c) expected outcomes of MTSS-B. We also compared views across three groups of stakeholders: local school team members, building administrators, and district representatives. Although most participants reported multiple motivations for adopting MTSS-B, concerns about student behavior and the need for staff support in this area were among the primary reasons. Anticipated challenges varied by group, with district representatives affirming those challenges most strongly. Responses also suggest these stakeholders have high expectations regarding the impact of MTSS-B in their school or district. We discuss implications for technical assistance providers related to supporting a more widespread adoption of MTSS-B.
Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference

Recurrent neural networks such as Long Short-Term Memories (LSTMs) learn temporal dependencies by keeping an internal state, making them ideal for time-series problems such as speech recognition. However, the output-to-input feedback creates distinctive memory bandwidth and scalability challenges in designing accelerators for RNNs. We present Muntaniala, an RNN accelerator architecture for LSTM inference with a silicon-measured energy-efficiency of 3.25TOP/s/W and performance of 30.53GOP/s in UMC 65nm technology. The scalable design of Muntaniala allows running large RNN models by combining multiple tiles in a systolic array. We keep all parameters stationary on every die in the array, drastically reducing the I/O communication to only loading new features and sharing partial results with other dies. For quantifying the overall system power, including I/O power, we built Vau da Muntanialas, to the best of our knowledge, the first demonstration of a systolic multi-chip-on-PCB array of RNN accelerator. Our multi-die prototype performs LSTM inference with 192 hidden states in 330 $\mu \text{s}$ with a total system power of 9.0 mW at 10 MHz consuming 2.95 $\mu \text{J}$ . Targeting the 8/16-bit quantization implemented in Muntaniala, we show a phoneme error rate (PER) drop of approximately 3% with respect to floating-point (FP) on a 3L-384NH-123NI LSTM network on the TIMIT dataset.
Development and Standardization of Neem and Aloe Vera based Herbal hand wash using Low Cost Indigenous Technology

Hand-washing is an important practice for healthcare in home and daily life preparations. Herbal based hand wash preparations are the most promising hand wash with natural antimicrobial effect. The present study was aimed to development and standardization of herbal hand wash with natural ingredients. In this study, two types of herbal hand wash were formulated with Neem and Aloe vera methanol extract. The herbal hand-wash A and herbal hand wash B, containing plant extract and other natural herbal ingredients in different compositions of ingredients. Herbal hand wash formulations were further evaluated for some parameters such as odor, color, pH, viscosity, foam height, foam retention and spreading potential. The quality of hand wash formulation was evaluated by skin irritation test, greasiness grittiness and homogeneity. The results indicated that all the developed formulations of hand wash A and B were in acceptable limits. The results of present study proved that the effective herbal hand wash were developed successfully by incorporating the herbal extracts using low cost indigenous technologies for better effect.
Developmental Outcomes of University Female Basketball Athletes As Participants in Peer Mentoring Groups

Peer group mentoring can stimulate developmental outcomes for university basketball athletes. Seven female university basketball athletes from an NCAA Division III team participated in peer mentoring groups over the course of an academic year. By sharing about their lived experiences, the researchers were able to capture narratives that illuminated the impact of this developmental relationship. Thematic analysis was utilized to explore these descriptions and collate them into findings relevant for athletes, coaches, Athletics administrators, and others. Findings presented below indicate that these peer group mentoring experiences (a) nurtured synergistic relationships; (b) cultivated athletes’ resilience; and (c) developed athletes’ self-efficacy.
A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface

A Brain-Computer Interface (BCI) is an external system that controls activities and processes in the physical world based on brain signals. In Passive BCI, artificial signals are automatically generated by a computer program without any input from nerves in the body. This is useful for individuals with mobility issues. Traditional BCI has been dependent only on recording brain signals with Electroencephalograph (EEG) and has used a rule-based translation algorithm to generate control commands. These systems have developed very accurate translation systems. This paper is about the different methods for adapting the signals from the brain. It has been mentioned that various kinds of surveys in the past to serve the purpose of the present research. This paper shows a simple and easy analysis of each technique and its respective benefits and drawbacks, including signal acquisition, signal pre-processing, feature classification and classification. Finally, discussed is the application of EEG-based BCI.
Downlink Multi-Carrier NOMA With Opportunistic Bandwidth Allocations

Multi-carrier non-orthogonal multiple access (MC-NOMA) system has been considered as a promising candidate in future wireless networks. In a MC-NOMA system, the available bandwidth of transmission is divided into several sub-bands, such that multiple users in each sub-band are served based on power-domain NOMA. Unlike the equal sub-band allocations, we propose a sum-rate maximization technique that jointly allocates the available power and bandwidth with opportunistic sharing between the sub-bands. A second-order cone program approach is exploited to deal with the non-convexity issues of the corresponding optimization problem. Simulation results reveal that the MC-NOMA system with opportunistic bandwidth allocation outperforms the scheme with the equal bandwidth allocation in terms of achieved sum-rate.
Germplasm enhancement and cultivar development: The need for sustainable breeding

Abstract: Farmers need sustainable cultivars to increase food supply and value with less production land, animals, and inputs. Next generation plant and animal breeders face climate change adaptation and mitigation challenges. These challenges need to be addressed with opportunities for significant reduction of environmental impact developing cultivars less addicted to fertilizers and soil moisture needs. Sustainable breeding can help balance agriculture with the environment. Sustainable breeders need to integrate long-term pre-breeding activities with cultivar development efforts providing farmers options to comply with environmental regulations. Good choice of germplasm is still the most important decision. The most sophisticated tools will have limited success if poor choices of germplasm are made. Seed companies need capable breeders developing the next generation of sustainable cultivars while public institutions need to mentor sustainable breeders capable to not only broadening and improving unique germplasm but also developing new cultivars carrying desirable traits. Graduates mentored in breeding programs integrating these needs will be selected for industry jobs without need for re-training. Sustainable breeders will need to operate in new breeding centers located in strategic environments for faster genetic improvement ahead of climate changes. Key factors for developing useful and unique sustainable cultivars will be the adaptation of exotic germplasm and the maximization of its genetic improvement before cultivar development through public and private partnerships. Inbreeding, genetic divergence, and reciprocal recurrent selection programs will continue to be essential to purify cultivars and exploit heterosis in economically important species.
Field Evaluation of Preventive Efficacy of Monthly Multimodal Prophylactic Treatment (Milbactor® and Vectra® 3D) against Dirofilaria spp. in Dogs

Dirofilaria immitis and Dirofilaria repens are mosquito-borne pathogens responsible for dirofilariasis in humans and animals. Their transmission and spread depend on the activity of vectors and the frequency of hosts in a given area. Here, we investigated the efficacy of a monthly multimodal prophylactic (MMP) strategy against canine dirofilariasis on Corsica Island (France). The study was conducted as evidence of an efficacy trial in which eighty dogs were divided into two groups: (i) one test group consisted of 25 dogs under the MMP [per-os administration of 1.5 tablets of milbemycin-oxime-praziquantel (Milbactor®) and a topical line-on application of a 3.6 mL solution of dinotefuran-permethrin-pyriproxyfen (Vectra® 3D)] and (ii) a control group under different real-life prophylactic treatments (RLP) based on the use of ectoparasiticides (different formulations: deltamethrin, fluralaner, fipronil) and/or macrocyclic lactone-based products (milbemycin-oxime/praziquantel, milbemycin-oxime, moxidectin) during the period from June to October 2017. All animals were followed up for one year, with blood collected at day 0, with follow-up at 6 and 12 months. Samples were tested for Dirofilaria spp. by species-specific qPCR. At the end of the study, no new case of Dirofilaria spp. infection was detected in the test group. However, the cumulative incidence of Dirofilaria spp. infection was 16.4% (n = 9; p = 0.027) in the control group. The data illustrate that, in contrast to RLP treatment, which failed to protect at least 16.4% of dogs, the MMP based on the simultaneous administration of milbemycin oxime-praziquantel and dinotefuran-permethrin-pyriproxyfen efficiently protects dogs in a high-risk area from Dirofilaria spp. infection.
HOW INDUSTRY 4.0 RESHAPES THE WORLD: RECOMMENDATIONS BASED ON COMPLEX GRAPH NETWORK ANALYSIS

Abstract Industry 4.0 is a great opportunity and a tremendous challenge for every role of society. Our study combines complex network and qualitative methods to analyze the Industry 4.0 macroeconomic issues and global supply chain, which enriches the qualitative analysis and machine learning in macroscopic and strategic research. Unsupervised complex graph network models are used to explore how industry 4.0 reshapes the world. Based on the in-degree and out-degree of the weighted and unweighted edges of each node, combined with the grouping results based on unsupervised learning, our study shows that the cooperation groups of Industry 4.0 are different from the previous traditional alliances. Macroeconomics issues also are studied. Finally, strong cohesive groups and recommendations for businessmen and policymakers are proposed.