Miracle-dz/UniFAR-FTUs huggingface dataset:
Tanner–Whitehouse and Modified Bayley–Pinneau Adult Height Predictions in Elite Youth Soccer Players from the Middle East

Supplemental digital content is available in the text. ABSTRACT Purpose To provide the first scrutiny of adult height prediction protocols based on automated Greulich–Pyle and Tanner–Whitehouse (TW) skeletal ages applied to elite youth soccer players from the Middle East. Methods We examined the application of modified Bayley–Pinneau (BoneXpert®), TW-II, and TW-III protocols using mixed-longitudinal data available for 103 subjects (chronological age range, 19.4 to 27.9 yr) previously enrolled as academy student-athletes (annual screening range, one to six visits). Random-effects generalized additive models quantified the presence of systematic mean differences between actual versus predicted adult height. Effects were deemed practically equivalent based on the location of the confidence interval (95% CI) against a realistic difference value of Δ = ± 1 cm. Each model pooled residual standard deviation described the actual precision of height predictions and was used to calculate a 95% prediction interval. Results The BoneXpert® method overpredicted adult height systematically at chronological ages in the range of approximately 13.5 to 14.5 yr (95% CI range, −1.9 to −1 cm) and Greulich–Pyle skeletal ages between 13.5 and 15 yr (95% CI range, −3.1 to −1 cm). Effects based on TW-II were practically equivalent across the chronological and skeletal age measurement ranges, with this protocol yielding adult height predictions with a precision (standard deviation) of approximately ±2.6 cm. The mean TW-III effects indicated systematic adult height overpredictions until the attainment of 14.5 and 15 yr of chronological age (95% CI range, −3.8 to −1.1 cm) and TW-III skeletal age (95% CI range: −5.2 to −2.3 cm), respectively. Conclusions Tanner–Whitehouse-II adult height prediction method provided more consistent estimates and can be considered the method of choice for talent development purposes in youth soccer players from the Middle East.
Influence of Cultivars and Nitrogen Fertilizer Rates and Application Mode on Yields and Quality Parameters of Ratoon Sugarcane in Western Kenya

Productivity of sugarcane in Kenya has declined despite use of recommended production practices including introduction of elite high yielding and early maturing sugarcane varieties. Farmers continue to use recommended agronomic inputs for the old low yielding and late maturing varieties on these elite varieties. Nitrogen fertilizer rates in single or split doses for old varieties are still in use yet their appropriateness on new varieties remains untested culminating to decline in sugarcane productivity in Kenya. Currently, cane payment is based on delivered milling cane weight. The industry plans to change payment to a combination of quality and yields. Influence of agronomic inputs and timing of harvesting period on proposed mode of payment is unknown. Harvesting age in western Kenya remains 18-20 months after ratooning (MAR). However, optimal age that combines quality and yields is not documented. Influence of these agronomic practices on quality, yields and optimal harvesting age of ratoon crop of new (D8484) and old (CO421) varieties were evaluated in a 2x4x3 split-split-plot design replicated three times. Four rates of nitrogen as urea, all applied at 3 MAR, split once (50-50%) and applied at 3 and 6 MAR or split three times (40-30-30%) and applied at 3, 6 and 9 MAR were evaluated. Yields and quality parameters were monitored from 10th-24th MAR. Variety D8484 out-yielded (p≤0.05) CO421 throughout demonstrating its superiority. Yields reached maximum at 20 and 19 MAR for CO421 and D8484, respectively. Maximum pol and brix were attained at 18 and 15 MAR for CO421 and D8484, respectively, while commercial cane sugar (CCS) was maximum at 18 and 17 MAR for CO421 and D8484, respectively. Results demonstrated that for high returns, D8484 should be harvested between 15-18 MAR while CO421 between 17-19 MAR. The 60 kg N/ha, that produced higher (p≤0.05) output in both varieties, from 16th MAR is recommended for both varieties. Split fertilizer application did not affect productivity.
Seismic response distribution expressions for on‐ground rigid rocking blocks under ordinary ground motions

Predictive relationships are offered for the response of on‐ground 2D rigid blocks undergoing rocking. Among others, this is pertinent to (1) modern or classical antiquity structures that utilize rocking as a seismic protection mechanism and (2) freestanding contents (e.g., cabinets, bookcases, and museum artifacts) located on the ground or lower floors of stiff buildings. Blocks of varying dimensions were subjected to a full range assessment of seismic response under increasing intensity levels of ordinary (no‐pulse and no‐long‐duration) ground motions, parameterized by peak ground acceleration or velocity. Both response and intensity were normalized, allowing the fitting of general‐purpose parametric expressions to determine the mean and dispersion of response for an arbitrary block of interest. These can be utilized in the same way as conventional strength‐ratio/ductility/period relationships of yielding oscillators, to enable the rapid assessment or design of simple rocking systems.
Systematics of the shrimp genus Atya (Decapoda, Atyidae) in the light of multigene‐based phylogenetic and species delimitation inference

The Atya genus classification is mostly stabilized, comprising 13 species in the Americas and West Africa. However, nearly 40 years have passed since its last revision. Some taxonomic questions remained due to morphological uncertainty, and new ones have been raised with molecular Atyidae phylogenies. The aim of this study was to conduct the first Atya molecular systematic assessment, verifying the taxonomic status of A. gabonensis, A. innocous, A. margaritacea and A. scabra. Gene fragments (16S, COI and H3) were obtained by DNA sequencing and used for genetic distance, phylogeny and species delimitation analyses (ABGD, PTP and GMYC). Our data corroborate A. gabonensis as a species with amphi‐Atlantic distribution and suggest the use of A. innocous for specimens of the Caribbean Sea. We revalidated A. tenella Smith, 1871 for specimens from Pacific. Atya margaritacea, distributed along the Pacific coast of the Americas, was considered a valid and distinct species from A. scabra, which is distributed in the Atlantic and Pacific coasts of the Americas and West Africa; moreover, maybe this wide distribution belongs to a distinct species, being A. scabra restricted to "Gulf of Mexico lineage". We corroborated the genus as monophyletic and highlighted remaining systematic issues. Overall, our multigene‐based phylogeny and species delimitation analyses suggest that Atya comprises 14 species. This study provides data for future studies on the biodiversity, evolution and conservation of freshwater Atyidae shrimps and Neotropical fauna.
Malnutrition, stunting, development and evidence generation in Guatemala: a systematic review

ABSTRACT The data regarding child malnutrition in Guatemala place it at the head of this issue in comparison to neighbouring countries. A significant interventionist effort took place over based all the traditional approaches to development. We present a systematic review of evidence that carried out these initiatives between 2014-2020. The scope and limitations of this project and the use of this evidence are discussed within a Policy-Evidence-Based model. Only 14 texts were included in the selection. The initiatives in the nutritional field are the most represented, but there is an appreciation for the relationship in the diversity of interventions implemented.
Evaluation and Research on the Level of Inclusive Green Growth in Asia-Pacific Region

Focusing on the Asia-Pacific region and the concept of inclusive green growth, this paper designs a four-dimensional analysis framework of economic prosperity, social inclusion, resource utilization, and environmental sustainability. It constructs a scientific and reasonable inclusive green growth indicator system for the Asia-Pacific region. In order to make the research results more robust, the research method mainly uses factor analysis, supplemented by clustering method and entropy method to evaluate and cross-validate the inclusive green growth level of 37 countries and regions in the Asia-Pacific region. The study finds that the level of inclusive green growth in the Asia-Pacific region is highly affected by the country’s economic development level. The latent heterogeneity in the distinct development stages of various countries explains why the in-region countries differ vastly regarding their inclusive green development levels. The inclusive green growth indicator system integrates the availability, accuracy, and standardization of data in selecting indicators, making the measurement results more referentially valuable. It helps grasp the actual state of inclusive green growth in the Asia-Pacific region. The paper summarizes the policy suggestions to promote inclusive green growth in the Asia-Pacific region, involving accelerating economic development and institutional improvement, and reinforcing regional cooperation in the Asia-Pacific area for elevating the overall regional inclusive green transformation.
Coping style, anxiety level, organizational support, and work commitment of educators during the COVID-19 pandemic in the Philippines: A mixed-methods study

Background The emergence of the COVID-19 pandemic has distorted the education system, which greatly challenged educators in the pursuit of the continuity and quality of education. Commitment to perform duties and responsibilities are bounded in coping with the situation, emotional state, and the support from the organization. Objective To analyze and understand the presumed interrelationship of modeled variables, such as the coping style, anxiety level, organizational support, and work commitment of educators during the COVID-19 pandemic. Methods It is a mixed-methods study through an explanatory sequential approach. The path analysis technique was applied for quantitative with 116 educators as sample respondents guided by selection criteria. Digital immigrant educators with extreme responses were identified and asked permission for an interview. Open-access adapted questionnaires used were Simplified Coping Style Questionnaire (SCSQ), Beck Anxiety Inventory (BAI), Perceived Organizational Support (POS), Allen and Meyer’s Organizational Commitment Questionnaire (OCQ). Data were processed and analyzed using SPSS and AMOS for descriptive and inferential statistics. A four-domain semi-structured questionnaire served as a guide in interviewing participants in the context of coping, anxiety, support, and work commitment. Thematic analysis was performed to generate themes. Results This study shown that educators often used coping style (1.87 ± 0.84; Mean ± SD), have a low level of anxiety (0.58 ± 0.69; Mean ± SD), have perceived uncertainty related to organizational support (4.03 ± 1.37; Mean ± SD), and neither agree nor disagree in terms of their work commitment (3.02 ± 0.93; Mean ± SD). The presumed model through path analysis has significantly predicted 28% plausibility (R2 = 0.28) with only organizational support that shown significant influence towards educators’ work commitment (β = 0.22). The themes that emerged are challenging adjustment, predestined situation, fear of getting infected, difficulty teaching effectively, technologically challenged, psychosocial assistance, uncertainty, and willingness to explore. Conclusion Educators during the COVID-19 pandemic were able to cope and control their anxiety through the test of time, seamless work commitment, and presence of support. This study can be considered a framework for situational analysis of nurse educators in the academic realm in times of emergency and disaster.
The Anatomy of Consonance/Dissonance: Evaluating Acoustic and Cultural Predictors Across Multiple Datasets with Chords

Acoustic and musical components of consonance and dissonance perception have been recently identified. This study expands the range of predictors of consonance and dissonance by three analytical operations. In Experiment 1, we identify the underlying structure of a number of central predictors of consonance and dissonance extracted from an extensive dataset of chords using a hierarchical cluster analysis. Four feature categories are identified largely confirming the existing three categories (roughness, harmonicity, familiarity), including spectral envelope as an additional category separate from these. In Experiment 2, we evaluate the current model of consonance/dissonance by Harrison and Pearce by an analysis of three previously published datasets. We use linear mixed models to optimize the choice of predictors and offer a revised model. We also propose and assess a number of new predictors representing familiarity. In Experiment 3, the model by Harrison and Pearce and our revised model are evaluated with nine datasets that provide empirical mean ratings of consonance and dissonance. The results show good prediction rates for the Harrison and Pearce model (62%) and a still significantly better rate for the revised model (73%). In the revised model, the harmonicity predictor of Harrison and Pearce’s model is replaced by Stolzenburg’s model, and a familiarity predictor coded through a simplified classification of chords replaces the original corpus-based model. The inclusion of spectral envelope as a new category is a minor addition to account for the consonance/dissonance ratings. With respect to the anatomy of consonance/dissonance, we analyze the collinearity of the predictors, which is addressed by principal component analysis of all predictors in Experiment 3. This captures the harmonicity and roughness predictors into one component; overall, the three components account for 66% of the consonance/dissonance ratings, where the dominant variance explained comes from familiarity (46.2%), followed by roughness/harmonicity (19.3%).
Assessing produce freshness using hyperspectral imaging and machine learning

Abstract. A method of monitoring produce freshness with hyperspectral imaging and machine learning is described as a way to reduce food waste in grocery stores. The method relies on hyperspectral reflectance images in the visible–near-infrared spectral range from 387.12 to 1023.5 nm with a 2.12-nm spectral resolution. The images were recorded in a laboratory with the imager viewing produce samples illuminated by broadband halogen lights, but we also recorded and discussed the implications of the illumination spectrum of lights found in a variety of grocery stores. A convolutional neural network was used to perform freshness classification for potatoes, bananas, and green peppers. Additionally, a genetic algorithm (GA) was used to determine the wavelengths carrying the most useful information for age classification, with an eye toward a future multispectral imager. Hyperspectral images were processed to explore the use of RGB images, GA-selected multispectral images, and full-spectrum hyperspectral images. The GA-based feature selection method outperformed RGB images for all tested produce, outperformed hyperspectral imagery for bananas, and matched hyperspectral imagery performance for green peppers. This feature selection method is being used to develop a low-cost multispectral imager for use in monitoring produce in grocery stores.
Attachment state of mind and trauma in mother and baby home adoptees

This study has two aims: to explore the experiences and impact of adoption among five adults (three males and two females, all over the age of 55) adopted from mother and baby homes in the UK and Ireland, and to establish each participant’s state of mind (SOM) with regards to attachment using the Adult Attachment Interview (AAI) (George, Kaplan and Main, 1985–1996). It makes use of all information gained from the AAI by analysing the interview transcripts in two ways: (1) using the AAI scoring system (Main, Goldwyn and Hesse, 2003) to assess SOM; and (2) thematic analysis of the transcripts to produce an inductive set of themes. It was found that all participants had an insecure SOM with regards to attachment. For four out of the five participants, this was unresolved/disorganised, and the category ‘preoccupied’ was the most prevalent underlying three-way classification. Qualitative analysis of transcripts identified four overarching themes: (1) identity and belonging; (2) trauma; (3) ‘silenced’ coping; and (4) adverse parenting which reflected their experiences of adoption. The findings indicate that the participants were highly susceptible to trauma associated with loss. They also highlight the importance of suitable adoption placements and vetting of potential adopters. The clinical and research implications of the results and their contribution to the broader discussion of trauma related to adoption are discussed.
Current State of the Horticultural Therapy Profession in the United States

While horticultural therapy (HT) has a long history in the United States, the profession has not had the acceptance and growth that related fields, such as art, music, recreational, occupational, and physical therapies have experienced. The objective of this study was to identify the current challenges and opportunities of HT in the United States. Maximum variation sampling was used to select current and former members of the American Horticultural Therapy Association (AHTA) for interviews. A total of 27 participants were interviewed between Nov. 2019 and Jan. 2020 using semi-structured qualitative interviews by Zoom. The interviews revealed six themes: 1) current state of the profession, 2) AHTA operations/structure, 3) education/credentialing, 4) funding/job opportunities, 5) public awareness/networking, and 6) research. This paper will discuss the challenges and opportunities presented in the six themes and provide recommendations for the future growth of the HT profession.
Seismic fragility and intensity measure investigation for rocking podium structures under synthetic pulse‐like excitations

Rocking podium structures (RPSs) refer to a wide class of structural systems in which the base storey consisting of freestanding columns that can uplift during seismic excitations. Due to the rocking response, the base storey can be considered as a base isolation system on the condition that a rocking overturn is prevented. In the present study, the seismic response of RPSs is assessed within a probabilistic framework. For this purpose, synthetic pulse‐like acceleration records are generated. The performance of several ground motion intensity measures in predicting the rocking response of RPSs with different superstructure's fundamental period, lateral displacement profiles and rocking column configuration are examined. The effect of these structural parameters on the rocking response is evaluated in terms of seismic fragility. Finally, the seismic behaviour of the rocking storey, as a seismic isolation technique, is evaluated by examining both the rocking stability and the seismic demand reduction of the superstructure simultaneously.
An Alternative Method for the Generation of Consistent Mapping to Monitoring Land Cover Change: A Case Study of Guerrero State in Mexico

Land cover is crucial for ecosystems and human activities. Therefore, monitoring land cover changes has become relevant in recent years. This study proposes an alternative method based on conventional change detection techniques combined with maximum likelihood (MaxLike) supervised classification of satellite images to generate consistent Land Use/Land Cover (LULC) maps. The novelty of this method is that the supervised classification is applied in an earlier stage of change detection exclusively to identified dynamics zones. The LULC categories of the stable zones are acquired from an initial date’s previously elaborated base map. The methodology comprised the use of Landsat images from 2011 and 2016, applying the Sun Canopy Sensor (SCS + C) topographic correction model enhanced through the classification of slopes, using derived topographic corrected images with NDVI, and employing Tasseled Cap (TC) Brightness-Greenness-Wetness indices and Principal Components (PCs). The study incorporated a comparative analysis of the consistency of the LULC mapping, which is generated based on control areas. The results show that the proposed method, although slightly laborious, is viable and fully automatable. The generated LULC map is accurate and robust and achieves a Kappa concordance index of 87.53. Furthermore, the boundary consistency was visually superior to the conventional classified map.
Bovine manure as a dispersing agent for weeds and invasive alien plants

Fertilization is the act of adding fertilizers to the soil in order to provide essential nutrients for the development of cultivated plants. However, the use of bovine manure can act as a source of weed propagules, including non-native species. Due to the importance and lack of research on the topic, the objective of the present study was to evaluate the seed bank present in bovine manure used by farmers in the municipality of Itabaiana, SE. For that, samples of bovine manure were collected in 10 rural properties in the municipality of Itabaiana, SE. The evaluation of the seed bank was carried out by accounting for emerged seedlings. Usual phytosociological indices were calculated for each species. Altogether 35 species were sampled, of which 28 native and seven non-native. The native species with the highest importance value was Euphorbia hirta, as it has the highest density (AD = 1122 ind.m-²) and is present in 28 sample units. The non-native species with the highest importance value was Eleusine indica, because it has the third highest density (AD = 171.2 m²) and is present in 21 sample units. The obtained results reveal that bovine manure has a high number of weed, which is quite worrying, as they are species that generate important environmental and economic impacts.
Islam-based peace education: values, program, reflection and implication

There is a gap between ideal Islam and real Islam. Ideal Islam means peace, greeting, safety, salvation, and conceptually means absolute submission to God`s Will. Real Islam resembles unresolved conflicts in some communities and unpleasant meanings to some non-Muslims. To minimize the gap, it is important to socialize peaceful Islamic values in the community through education. This study aims to explain Pendidikan Perdamaian Berbasis Islam (PPBI, the Islam-based Peace Education) program initiated by Pusat Studi Budaya dan Perubahan Sosial (PSB-PS, the Center for the Study of Culture and Social Change) at Universitas Muhammadiyah Surakarta (UMS). This participatory action research is especially to reveal Islamic values identified in the PPBI program in terms of its uniqueness, implementation, reflection, and implication. Based on the Sirah of the Prophet and the Al-Qur’an, the PPBI program has identified 15 Islamic values which contribute to peacebuilding. Those values were used as core contents of PPBI’s handbook and classroom program. The program has been implemented through series of activities ranging from seminars, FGDs, workshops, training of teachers, publication of books, and classroom implementation. PPBI program based on nonviolence and peacebuilding assumptions, i.e. to build a culture of peace, is designed as the formal peace education through learning materials and classroom processes either in any existing course or co-curricular activities.