Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishing a Gross Primary Productivity Model by SIF and PRI on the Rice Canopy

Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, few studies have used SIF combined with PRI to estimate crop canopy GPP. Large temporal and spatial variability between SIF, PRI, and GPP has also been found in remote sensing observations, and the observed PRI and SIF are influenced by the ratio of different observed information (e.g., background, direct sunlit, and shaded leaves) and the physiological state of the vegetation. In this study, the PRI and SIF from a multi-angle spectrometer and the GPP from an eddy covariance system were used to assess the ability of the PRI to enhance the SIF-GPP estimation model. A semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) model was used to describe the hotspot PRI/SIF (PRIhs/SIFhs), and a modified two-leaf model was used to calculate the total canopy PRI/SIF (PRItot/SIFtot). We compared the accuracies of PRIhs/SIFhs and PRItot/SIFtot in estimating GPP. The results indicated that the PRItot+SIFtot-GPP model performed the best, with a correlation coefficient (R2) of the validation dataset of 0.88, a root mean square error (RMSE) of 3.74, and relative prediction deviation (RPD) of 2.71. The leaf area index (LAI) had a linear effect on the PRI/SIF estimation of GPP, but the temperature and vapor pressure differences had nonlinear effects. Compared with hotspot PRIhs/SIFhs, PRItot/SIFtot exhibited better consistency with GPP across different time series. Our research demonstrates that PRI is effective in enhancing SIF and PRI for estimating GPP on the rice canopy and also suggests that the two-leaf model would contribute to the vegetation index tracking the real-time crop productivity.
Gravity Terrain Corrections of Taiwan

An island-wide gravity survey was conducted from 1980 to 1987 in Tai­ wan. In total, 603 gravity stations had been surveyed. Among them, 308 stations were located at elevations of 500 m or greater. Since a significant portion of our gravity stations were in mountainous areas, the terrain cor­ rection must be carefully estimated in the processing of gravity data. In this study, two methods, the Hammer method and the line mass integral method, are jointly used to compute the terrain corrections. The corrections are made to a distance of 100 km with an average density of 2.57 g/cm3• The results show that the corrections of more than half of the areas in Taiwan are larger than 10 mgal. The corrections in the western coastal plain are less than 2 mgal. Higher corrections are in mountainous areas, mostly over 20 mgal. The maximum correction reaches 93 mgal on Yushan. We also find that to­ pographic relief in the vicinity of the station plays an important role in the correction, and the topographic effect can be ignored in marine gravity survey around Taiwan, except off the coast along the Su-hua highway. (
Masculinities and the Lived Understandings of Bystander Responses to Everyday Violence

Among criminologists there has been an expanded contemporary interest in measures that encourage bystander intervention in the social settings of escalating and potentially violent incidents. These broadly include partner abuse and domestic disputes, as well as confrontational social interaction and other forms of targeted harassment and violence (racist, sexist, homophobic, ableist etc.), in everyday life. This article considers the likely success or failure of seeking to foster such measures as a core strategy of violence prevention, with discussion of the author’s Sydney-based study of the understandings of violence arising from young men’s lived experience of its various forms. It particularly concentrates on the results of focus groups conducted with a mixed sample of young men (aged 16-25 years) between 2018-2020. These participants had personal engagements with violence and potential violence, that shaped their reservations and doubts about regular intervention and general male anti-violence advocacy as reasonable and achievable social practices.
A Gender Bias in Curriculum-Based Measurement across Content Domains: Insights from a German Study

By immediately responding to achievement progress data, teachers can improve students’ performance by using curriculum-based measurement. However, there are studies showing that teachers are prone to make biased judgments about the students providing the data. The present investigation experimentally examined whether pre-service teachers in Germany were biased by the use of gender stereotypes when judging students’ achievement derived from progress data. N = 100 pre-service teachers received graphs that depicted the development of either oral reading fluency or math achievement of girls and boys over a time interval of 11 weeks. The results obtained confirmed the hypotheses partially. The participants did not favor girls over boys on average. However, they judged achievement in reading to be higher for girls than for boys, and math achievement to be higher for boys than for girls. The results suggest that gender stereotypes (boys are good at math, girls are good at reading) are still prevalent in pre-service teachers.
The Impact of Financial Aid Programmes on Access to Higher Education in Ugandan Universities

In Uganda, limited financial resources often obstruct higher education opportunities, particularly for those with modest incomes. Various financial aid initiatives have been introduced in an attempt to rectify this issue for equitable access. This study aimed to investigate the impact of financial aid initiatives on higher education accessibility, guided by two main research questions: (1) To what extent do financial aid programmes bolster access to higher education? (2) What challenges do students face in accessing financial aid for higher education? Employing a mixed-methods approach, data on enrolment into higher education institutions in Uganda were extracted from a National Council for Higher Education (NCHE) 2020 report for an overview into impacts of financial aid on access to higher education. For contextual and in-depth insight into the impacts of financial aid programmes on access to higher education, secondary data on loan schemes in two public universities and the Kabaka Education Fund in a private university were obtained and analysed using descriptive statistics. To understand the experiences and perspectives of financial aid programme recipients, qualitative interviews were conducted with a sample of 138 beneficiaries, including 12 individual recipients and 13 focus group discussions (FGDs) that involved 126 progressing recipients with about 9–10 persons per group from the three selected universities, whose responses were analysed using thematic content analysis. The results revealed that much as financial aid programmes have improved access to higher education in Ugandan universities, most financial services remain accessible primarily to wealthier individuals owing to barriers including application procedures, expenditure, discriminatory practices, limited information, a negative attitude towards aid and demotivation. The study recommends prioritising strategies that address the needs of a diverse student population to ensure equitable access to higher education, thereby promoting human progress, economic development, and the achievement of sustainable development goals.
Distilling word embeddings via contrastive learning

Word embeddings powered the early days of neural network-based NLP research. Their effectiveness in small data regimes still makes them relevant in low-resource environments. However, they are limited in two critical ways: linearly increasing memory requirement based on the number of tokens and out-of-vocabulary token handling. In this work, we present a distillation technique of word embeddings into a CNN network using contrastive learning. This method allows embeddings to be regressed given the characters of a token. Low resource languages are the primary beneficiaries of these distilled embeddings and hence, we show the effectiveness of such a model on Amharic, a Semitic language that is spoken in Ethiopia.
Effectiveness of Virtual Reality Therapy on Balance and Gait in the Elderly: A Systematic Review

Virtual reality (VR) therapies are presently utilized to treat physical and cognitive impairments among elderly people. This systematic review aims to collect the most recent evidence on the effectiveness of VR in improving balance and gait among healthy elderly individuals, in comparison with other therapies. A literature search was conducted using the PubMed, SCOPUS, PEDro, and WoS databases, by selecting randomized clinical trials that evaluated balance, both static and dynamic, as well as gait in a population of healthy older adults who underwent virtual reality therapy. The methodological quality of the studies was assessed using the PEDro scale. After eligibility criteria were applied and duplicates were removed, 20 studies were selected out of 1705 initially identified. The present systematic review concludes that virtual reality therapy is more effective than minimal intervention or usual care in enhancing static balance, dynamic balance, and gait in healthy elderly individuals. Moreover, virtual reality therapy yields better outcomes compared to traditional balance training and physical exercise in improving balance and gait in this demographic. However, both methods have shown effectiveness.
Seminal Plasma Examination Test Result Agreements Using the WHO Manual Recommendation: With Semi-Automatic and Automatic Methods

Objective: To analyze the suitability of the measurement results of neutral alpha-glucosidase and fructose in seminal plasma, between the manual method recommended by the World Health Organization (WHO) Sixth Edition and the semi-automatic method, using Biosystems BTS 350 and the automatic method using Biosystems A15.Material and Methods: This study involved 47 subjects at the Andrology Outpatient Department of Dr. Soetomo General Academic Hospital; from October 2022 and February 2023. The measurement of neutral alpha-glucosidase and fructose levels in seminal plasma was conducted, via three different approaches: the manual method, as recommended by the WHO Sixth Edition, the semi-automatic Biosystems BTS 350, and the automatic Biosystems A15. The manual method recommended by the WHO Sixth Edition was employed as the reference system.Results: The average disparity in neutral alpha-glucosidase levels among the manual method, as recommended by the WHO Sixth Edition, compared to the semi-automatic and automatic methods were recorded as: -1.0215 IU/l and -2.3428 IU/l, respectively. Similarly, the fructose levels exhibited differences of -2.1234 mmol/l and 2.2834 mmol/l. Notably, within the method comparisons, 44 values of neutral alpha-glucosidase levels fell within the limit of agreement, while fructose levels showed 44 and 45 values within the agreement limit.Conclusion: The results obtained from the manual method, as recommended by the WHO Sixth Edition, demonstrated agreement with the measurements of neutral alpha-glucosidase and fructose obtained when using both the semi-automatic and automatic methods.
Exploring the application of PLS-SEM in construction management research: a bibliometric and meta-analysis approach

PurposeThe partial least squares structural equation modeling (PLS-SEM) approach for construction management (CM) scholars has become the preferred approach for its capability of assessing the complex relationship and relaxed normality and sample size assumptions. This paper systematically maps the structure of knowledge about PLS-SEM in CM using bibliometric analysis. Also, the study employs meta-analysis to explore how data and model characteristics, model evaluation and advanced modeling techniques have been utilized in the CM domain.Design/methodology/approachThis study integrated two methods: bibliometric analysis on a sample of 211 articles identified using the PRISMA framework and meta-analysis on 163 articles identified based on the availability of full-length articles and relevant information.FindingsThe results revealed the leading knowledge formation entities (countries, institutions, authors, sources and documents). Also, the study employs full content analysis to identify six research themes, and meta-analysis is used to explore the use of PLS-SEM based on the following criteria: (1) reasons for using PLS-SEM in CM, (2) data characteristics, (3) model characteristics and evaluation and (4) use of advanced modeling and analysis techniques. Further, the study uses regression analysis and identifies “advanced modeling and analysis techniques” as the critical feature responsible for the publication in a journal with high scientific prestige. Finally, the study presented the comprehensive guidelines to be used by construction management scholars who wish to use PLS-SEM in their research work.Originality/valueTo the author’s knowledge, it is the first study of this kind to use PLS-SEM in CM research. This study provides an extensive analysis of the Scopus database and an in-depth review of the data characteristics, model characteristics and use of advanced modeling techniques in CM research.
Barriers to product innovation: An empirical study in Portuguese services SME

This study aims to explore the relations between financial, knowledge and market barriers to innovation and the innovation propensity of the Portuguese SMEs services sector, specifically at the product level. Utilizing data from the Community Innovation Survey (CIS) covering the years 2018-2020, the analysis focuses on a sample of 9238 companies within the service sector, each employing between 10 and 249 individuals. The research employs a logistic regression model to assess these relationships. The findings highlight that some obstacles, such as insufficient credit or private investment and restricted access to external knowledge, are perceived as hindrances to product innovation. Interestingly, some barriers to innovation, such as the lack of skilled personnel and elevated costs, can paradoxically serve as catalysts for innovation.
Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia

The aim of our study was to establish and compare the diagnostic accuracy and clinical applicability of published chest CT severity scoring systems used for COVID-19 pneumonia assessment and to propose the most efficient CT scoring system with the highest diagnostic performance and the most accurate prediction of disease severity. This retrospective study included 218 patients with PCR-confirmed SARS-CoV-2 infection and chest CT. Two radiologists blindly evaluated CT scans and calculated nine different CT severity scores (CT SSs). The diagnostic validity of CT SSs was tested by ROC analysis. Interobserver agreement was excellent (intraclass correlation coefficient: 0.982–0.995). The predominance of either consolidations or a combination of consolidations and ground-glass opacities (GGOs) was a predictor of more severe disease (both p < 0.005), while GGO prevalence alone was not. Correlation between all CT SSs was high, ranging from 0.848 to 0.971. CT SS 30 had the highest diagnostic accuracy (AUC = 0.805) in discriminating mild from severe COVID-19 disease compared to all the other proposed scoring systems (AUC range 0.755–0.788). In conclusion, CT SS 30 achieved the highest diagnostic accuracy in predicting the severity of COVID-19 disease while maintaining simplicity, reproducibility, and applicability in complex clinical settings.
HR INNOVATION LAB AND ITS THREE-DIMENSIONAL EFFICACIES

In an increasingly competitive business world, corporations are struggling to thrive. There have been pressures of changes for organizations from their external environment. The externalities are forcing businesses to adopt unavoidable innovation to create new products or design better processes. As a result, the changes in the business model require changes in HR practices and employee involvement since human resources are core elements of any innovation process. In this regard, our study aims to determine the HR Innovation Lab’s efficacy in an organization’s three dimensions, which are- improving the human resources, fostering innovative HRM practices, and bringing organizational outcome as innovation success from the views of HR professionals. A cross-sectional study was conducted to collect data from the HR professionals of some renowned pharmaceutical companies in Dhaka city. We introduced the concept of HR Innovation Lab to the participants in the survey stage and did a simple random sampling. After analyzing the results with Pearson’s correlation, regression analysis, and Cronbach’s Alpha test it was found that the employees in the respected companies believed that Innovation Lab can be a tool to improve individuals, generate innovative HRM practices to keep the HR ecosystem balanced, and contribute to organizational success. Overall, the study findings can be utilized by pharmaceutical companies, as well as other companies, to meet innovation requirement and achieve organizational success through the introduction of HR innovation lab.
Sample Preparation Techniques for Growth-Promoting Agents in Various Mammalian Specimen Preceding MS-Analytics

The misuse of growth-promoting drugs such as beta-2 agonists and steroids is a known problem in farming and sports competitions. Prior to the analysis of biological samples via liquid chromatography (LC)–mass spectrometry (MS) or gas chromatography (GC)–MS, sufficient sample preparation is required to reliably identify or determine the residues of drugs. In practice, broad screening methods are often used to save time and analyze as many compounds as possible. This review was conceptualized to analyze the literature from 2018 until October 2023 for sample preparation procedures applied to animal specimens before LC- or GC-MS analysis. The animals were either used in farming or sports. In the present review, solid phase extraction (SPE) was observed as the dominant sample clean-up technique for beta-2 agonists and steroids, followed by protein precipitation. For the extraction of beta-2 agonists, mixed-mode cation exchanger-based SPE phases were preferably applied, while for the steroids, various types of SPE materials were reported. Furthermore, dispersive SPE-based QuEChERs were utilized. Combinatory use of SPE and liquid–liquid extraction (LLE) was observed to cover further drug classes in addition to beta-2 agonists in broader screening methods.
Repoliticizing Privatization

According to Joseph Heath, privatizations should be judged on a case-by-case basis with appeal to the Pareto criterion. This approach, or so I argue, amounts to a depoliticization of privatization. While Heath’s approach is effective and at times illuminating, I show that a consistent application of his methodology is self-defeating in that it eventually requires a politicization of privatization. With appeal to transaction cost theory, I show there are social costs associated with affirming the competitive pressures of the market. Subsequently, I argue that while private actors may, according to Heath, pursue efficiency with appeal to an adversarial morality, state-owned enterprises (SOEs) are much more constrained in how they may achieve such gains. Due to the pressures of liberal neutrality, SOEs may chase efficiency only without setting actors back. Conversely, the private sector’s potential for success is predicated on its ability to compete for Kaldor-Hicks efficiency, which specifically allows for win-lose interactions. While SOEs are often no more able than the private sector to achieve Pareto optima, this discrepancy makes it so that SOEs produce gains that are ex-ante lower but more equal, whereas the private sector produces gains that are ex-ante higher but more unequal. Thus, the social cost of affirming the competitive pressures of the market is ex-ante inequality. If this premise is accepted, there is no way to avoid the conclusion that a consistent case-by-case approach requires a structural, political view on how privatizations affect the state’s ex-post Pareto-enhancing abilities.
Unveiling climate change impacts on agricultural sustainability: insights from the united states

Climate change poses significant threats to agricultural systems, necessitating a comprehensive understanding of its impact for effective adaptation strategies. This study examines the influence of climate change on agriculture in the United States, primarily focusing on temperature shifts and precipitation variations. Utilizing historical data and climate projections, we analyse trends in mean temperature and precipitation patterns from 1950 to 2020. The results indicate a noteworthy increase in annual mean temperature over the years, attributed to climate change. This rise in temperature has multifaceted implications, including heat stress in crops and exacerbation of drought conditions. The study also explores the complex relationship between precipitation patterns and climate change, highlighting regional variations and potential shifts in future precipitation trends. By projecting data under SSP 1-1.9 emission scenario, we assess potential changes in mean temperatures, hot days, and precipitation for 2040-2059 periods. In conclusion, this study sheds light on the interplay between climate change and agricultural systems, emphasizing the need for adaptive strategies to secure food production and mitigate potential risks. The findings underscore the urgency of proactive measures to safeguard agricultural sustainability and resilience in the face of evolving climatic conditions.
Phase Morphology and Mechanical Properties of Super-Tough PLLA/TPE/EMA-GMA Ternary Blends

The inherent brittleness of poly(lactic acid) (PLA) limits its use in a wider range of applications that require plastic deformation at higher stress levels. To overcome this, a series of poly(l-lactic acid) (PLLA)/biodegradable thermoplastic polyester elastomer (TPE) blends and their ternary blends with an ethylene-methyl acrylate-glycidyl methacrylate (EMA-GMA) copolymer as a compatibilizer were prepared via melt blending to improve the poor impact strength and low ductility of PLAs. The thermal behavior, crystallinity, and miscibility of the binary and ternary blends were analyzed by differential scanning calorimetry (DSC). Tensile tests revealed a brittle–ductile transition when the binary PLLA/20TPE blend was compatibilized by 8.6 wt. % EMA-GMA, and the elongation at break increased from 10.9% to 227%. The “super tough” behavior of the PLLA/30TPE/12.9EMA-GMA ternary blend with the incomplete break and notched impact strength of 89.2 kJ∙m−2 was observed at an ambient temperature (23 °C). In addition, unnotched PLLA/40TPE samples showed a tremendous improvement in crack initiation resistance at sub-zero test conditions (−40 °C) with an impact strength of 178.1 kJ∙m−2. Morphological observation by scanning electron microscopy (SEM) indicates that EMA-GMA is preferentially located at the PLLA/TPE interphase, where it is partially incorporated into the matrix and partially encapsulates the TPE. The excellent combination of good interfacial adhesion, debonding cavitation, and subsequent matrix shear yielding worked synergistically with the phase transition from sea–island to co-continuous morphology to form an interesting super-toughening mechanism.