Miracle-dz/UniFAR-FTUs huggingface dataset:
Multi-Objective and Cooperative Power Planning for Datacenter With On-Site Renewable Energy Sources

To reduce the ecological impact of datacenters and to operate them in areas with unreliable electrical grid, the use of on-site renewable energy sources (RESs) is actively studied nowadays. The main barrier to their wide adoption is related to the intermittent nature of common RESs, such as solar panels or wind turbines. Several works already demonstrated the suitability of energy storage devices and energy consumption scheduling to mitigate this issue. We propose to abstract such an infrastructure by two independent black-box systems: A power producer takes care of the RESs and storage devices; a power consumer manages the datacenter itself. An optimization module cooperates with these two systems to find the best power production and consumption plans for an upcoming time window. Each system having different goals, we tackle the multi-objective problem using a new evolutionary algorithm to find a set of ideal trade-offs. Evaluating the outcome of a power plan for an electrical or computing system is however usually costly. To reduce the number of evaluations of these objective functions, a common method is to use a cheap surrogate. Using time series properties, a novel surrogate method is presented. The performance of our approach is evaluated with maximization of quality of service and minimization of greenhouse emissions as respective objectives. Experiments are performed first using a simplified datacenter model with computable Pareto front, with the main findings replicated in a realistic model and a datacenter scheduler from the literature.
Evaluating Computational Models of Similarity against a Human Rated Dataset

The first genuine human-rated similarity set for the Romanian language aligned with an English similarity dataset is presented. Two computational models automatically learn the similarity scores for the word pairs in the similarity set. The first model learns the similarity scores from language corpora. The second one assigns a similarity score based on the taxonomic structure of a semantic network. We studied what model captures human similarity scores best, the language influence on the perception of similarity, and the impact of parts of speech on similarity.
Rewriting techniques and applications : 12th International Conference, RTA 2001, Utrecht, The Netherlands, May 22-24, 2001 : proceedings

Invited Talks. - Computing and Proving. - Rewriting for Deduction and Verification. - Regular Papers. - Universal Interaction Systems with Only Two Agents. - General Recursion on Second Order Term Algebras. - Beta Reduction Constraints. - From Higher-Order to First-Order Rewriting. - Combining Pattern E-Unification Algorithms. - Matching Power. - Dependency Pairs for Equational Rewriting. - Termination Proofs by Context-Dependent Interpretations. - Uniform Normalisation beyond Orthogonality. - Verifying Orientability of Rewrite Rules Using the Knuth-Bendix Order. - Relating Accumulative and Non-accumulative Functional Programs. - Context Unification and Traversal Equations. - Weakly Regular Relations and Applications. - On the Parallel Complexity of Tree Automata. - Transfinite Rewriting Semantics for Term Rewriting Systems. - Goal-Directed E-Unification. - The Unification Problem for Confluent Right-Ground Term Rewriting Systems. - On Termination of Higher-Order Rewriting. - Matching with Free Function Symbols - A Simple Extension of Matching? - Deriving Focused Calculi for Transitive Relations. - A Formalised First-Order Con uence Proof for the ? -Calculus Using One-Sorted Variable Names (Barendregt Was Right after all . almost). - A Normal Form for Church-Rosser Language Systems. - Confluence and Termination of Simply Typed Term Rewriting Systems. - Parallel Evaluation of Interaction Nets with MPINE. - Stratego: A Language for Program Transformation Based on Rewriting Strategies System Description of Stratego 0.5.
ESD in school: Understanding French-speaking Swiss pupils’ representations of sustainability

Abstract In the context of the Anthropocene, Education for Sustainable Development (ESD) is crucial to educate the next generation. However, it has long been neglected in curricula. In this study, we were interested in knowing pupils’ representations of sustainability. In this regards, 219 French-speaking Swiss pupils in compulsory school filled out an online survey. The preliminary results distinguished three groups of pupils characterised by their knowledge, attitudes and visions of the future in a sustainability perspective. Moreover, our results reveal that pupils from poorer backgrounds and in a vocational training school path were more passive towards sustainability. Finally, they understand and are practising eco-gestures, but do not understand what sustainability is. These findings legitimise the need to implement an ESD in classrooms with the aim of empowers learners with knowledge, “savoir-être” and “savoir-faire” to act for societal and environmental transformation.
Revisiting educational advantage and social class: a Bourdieusian analysis of middle-class parents’ investment in private schooling and shadow education

Abstract This article provides a Bourdieusian analysis of middle-class parents’ investment in private schooling and shadow education (tutoring support) in India, thus contributes to the scholarship of class-based educational advantage. It unveils parents’ aspirations for their children’s education and investigates how these aspirations shape the demand for private education. Bringing into sharp focus the complexity of social privilege, this article discusses how middle-class parents’ articulation of their lack of valued cultural capital informs their decision to invest in private schools. However, parents’ views on their ineffective involvement in their children’s education produce a perceived home disadvantage, which parents compensate for by investing in tutoring services. The article argues that investing in private education – both in formal educational institutions and tutoring centres – is a case of ‘capital exchange’ (transfer of economic capital to secure cultural capital) exercised by privileged social groups to ‘purchase’ valuable educational resources, thus reproducing their social class position.
MULTILEVEL NON-LINIER REGRESSION FOR REPEATED MEASURMENT DATA AS STUDY OF PEANUT GROWTH

Peanut is one of the most important legume commodities in Indonesia. In its implementation, a lot of research has been done related to this plant. However, in studies conducted by growth models, it is very rarely studied. Therefore, researchers are interested in modeling the growth of peanuts. One of the models that can be used is a multilevel regression model for the case of repeated measurement data. Multilevel regression was chosen because it is considered to provide more information than other regression models. On the other hand, the nonlinear model was chosen based on the tendency of the initial plot of the data obtained. The research method used is a case study in the study of peanut growth. This study aims to build the best model based on the tested model. The Restricted Estimator Maximum Likelihood (REML) parameter estimation method was chosen because it is considered to have unbiased parameter estimates. The best model is based on the lowest Akaike Information Criterion (AIC) generated from a predetermined model. The results obtained indicate that the multilevel parabolic regression model is the model with the best AIC size. In addition, it was found that there was an Interclass Correlation (ICC) of 81.19% which indicated a difference in variability between levels.
Correlation of Presacral Tumour Recurrence with Tumour Metastasis and Long-Term Tumour Recurrence Risk in Patients with Rectal Cancer

Objective To explore the risk factors that affect long-term presacral tumour recurrence in patients with rectal cancer (RC) after radical rectal cancer resection. Methods In our study, a total of 50 patients with presacral tumour recurrence after radical resection of RC in our hospital between May 2017 and May 2018 were enrolled in the observation group, and the other 50 patients without presacral tumour recurrence after the resection over the same span were enrolled in the control group. The two groups were compared in distant metastatic rate and long-term recurrence, and corresponding K-M curves were drawn. Additionally, the quality of life of the two groups was also compared. Patients in both groups were assigned to a long-term recurrence group or a non-long-term recurrence group based on their long-term recurrence, and a multivariate logistic regression analysis was carried out for analysis of risk factors of long-term recurrence. Results The two groups were not greatly different in clinical data (P > 0.05). The observation group was higher than the control group in terms of distant metastasis and long-term recurrence (P < 0.05). In addition, the MOS 36-Item Short-Form Health Survey (SF-36) scores of the observation group were all lower than those of the control group in the eight dimensions (P < 0.05). Moreover, tumour diameter (OR: 0.315, 95% CI: 0.118–0.835), differentiation (OR: 2.652, 95% CI: 1.086–6.852), and presacral recurrence (OR: 2.370, 95% CI: 1.263–4.447) were all independent risk factors for long-term recurrence of patients undergoing radical resection of RC. Conclusions Patients undergoing radical resection of RC face greatly higher risks of presacral tumour distant metastasis and long-term tumour recurrence, and tumour diameter ≥ 5 cm, low-differentiation degree, and presacral recurrence are independent risk factors for long-term recurrence of patients undergoing radical resection of RC. In the future, when performing radical resection of rectal cancer, it is necessary to pay attention to the changes in the above indicators in patients so as to prevent tumour recurrence.
A Single Photon Produces General W State of N Qubits and Its Application

Based on the Wu's scheme [C.F. Wu, J.L. Chen, L.C. Kwekl, and C.H. Ohel, Phys. Rev. A 73 (2006) 012310], we prepare the general N-qubit W state. We find that the concurrence of two qubits in general N-qubit W state is only related to their coefficients and we successfully apply the general N-qubit W state to quantum state transfer and quantum state prepare like that in two-qubit system.
Fault Tolerant Modular Differential Power Processing Converter for Photovoltaic Systems

This paper proposes a fault tolerant modular differential power processing (DPP) converter for photovoltaic (PV) systems under partial shading conditions. The proposed DPP converter can be derived by integrating panel-level and module-level DPP converters, reducing the total switch count, and achieving a simplified circuit. The modular design of the proposed converter allows PV systems to be flexibly scaled up without redesigning converters. Furthermore, series-resonant tanks in the proposed DPP converter exhibit constant-current–constant-voltage characteristics that realize the inherent fault tolerance against short-circuit and open-circuit fault of PV panels. The prototype for a 1.5-kW PV system consisting of two modules, each comprising four panels connected in series, was built and tested. In addition to the fault tolerance, the energy yield enhancement of 19.6% was experimentally demonstrated.
Effect of combined use of L carnitine and hemodialysis on clinical efficacy and quality of life of uremic patients

Purpose: To investigate the clinical efficacy of combined use of L-carnitine and hemodialysis in the treatment of uremic patients, and its effect on their quality of life. Methods: A total of 160 uremic patients who were admitted to Lujiang County People's Hospital from November 2018 to August 2020 were selected and divided equally into dialysis group (hemodialysis), and combined group (L-carnitine + hemodialysis). Some clinical indices and parameters, including safety profile, National Institutes of Health Stroke Scale (NIHSS) score, CD4+ and CD4+/CD8+, and plasma protein levels were evaluated for both study groups. Results: Patients treated with L-carnitine + hemodialysis in the combined group resulted in significantly higher clinical treatment effectiveness than those in the dialysis group (p < 0.05). However, safety profiles were comparable in the two groups (p > 0.05). No significant difference in NIHSS score between the two groups before treatment, but L-carnitine + hemodialysis led to a better NIHSS score than in the dialysis group after treatment (p < 0.05). However, there were better levels of CD4+ and CD4+/CD8+ in the combined group than in the dialysis group (p < 0.05). Similarly, although pre-treatment plasma protein levels in the two groups were comparable, there were significantly lower plasma protein levels in the combined group than in the dialysis group post-treatment (p < 0.05). Conclusion: The combination of L-carnitine and hemodialysis in the treatment of uremia patients improves the clinical management of the patients, enhances their quality of life, and shows good safety profile. However, further clinical trials should be carried out prior to the application of the combined treatment in clinical practice.
Meta-Analytic Comparison of Global RNA Transcriptomes of Acute and Chronic Myeloid Leukemia Cells Reveals Novel Gene Candidates Governing Myeloid Malignancies

Simple Summary Despite advances in the understanding of genetic risk factors and molecular mechanisms underlying acute myeloid leukemia (AML) and chronic myeloid leukemia (CML), clinical outcomes of current therapies in terms of disease relapse and mortality rate pose a great economic and social burden. To overcome this, the identification of new molecular prognostic biomarkers and pharmacological targets is crucial. Recent studies have suggested that AML and CML may share common pathogenic mechanisms and cellular substrates. To this end, in the present study, global transcriptome profiles of AML and CML at the molecular and cellular level were directly compared using a combination of meta-analysis and modern statistics, and novel candidate genes and specific biological processes associated with the pathogenesis of AML and CML were characterized. Our study significantly improves our current understanding of myeloid leukemia and will help develop new therapeutic targets and biomarkers for disease progression, management and treatment response. Abstract Background: Acute myeloid leukemia (AML) and chronic myeloid leukemia (CML) represent a group of hematological malignancies characterized by the pathogenic clonal expansion of leukemic myeloid cells. The diagnosis and clinical outcome of AML and CML are complicated by genetic heterogeneity of disease; therefore, the identification of novel molecular biomarkers and pharmacological targets is of paramount importance. Methods: RNA-seq-based transcriptome data from a total of five studies were extracted from NCBI GEO repository and subjected to an in-depth bioinformatics analysis to identify differentially expressed genes (DEGs) between AML and CML. A systemic literature survey and functional gene ontology (GO) enrichment analysis were performed for the top 100 DEGs to identify novel candidate genes and biological processes associated with AML and CML. Results: LINC01554, PTMAP12, LOC644936, RPS27AP20 and FAM133CP were identified as novel risk genes for AML and CML. GO enrichment analysis showed that DEGs were significantly associated with pre-RNA splicing, reactive oxygen species and glycoprotein metabolism, the cellular endomembrane system, neutrophil migration and antimicrobial immune response. Conclusions: Our study revealed novel biomarkers and specific biological processes associated with AML and CML. Further studies are required to evaluate their value as molecular targets for managing and treating the myeloid malignancies.
No increased inbreeding avoidance during the ovulatory phase of the menstrual cycle

Abstract Abstract Mate preferences and mating-related behaviours are hypothesised to change over the menstrual cycle to increase reproductive fitness. Recent large-scale studies suggest that previously reported hormone-linked behavioural changes are not robust. The proposal that women's preference for associating with male kin is down-regulated during the ovulatory (high-fertility) phase of the menstrual cycle to reduce inbreeding has not been tested in large samples. Consequently, we investigated the relationship between longitudinal changes in women's steroid hormone levels and their perceptions of faces experimentally manipulated to possess kinship cues (Study 1). Women viewed faces displaying kinship cues as more attractive and trustworthy, but this effect was not related to hormonal proxies of conception risk. Study 2 employed a daily diary approach and found no evidence that women spent less time with kin generally or with male kin specifically during the fertile phase of the menstrual cycle. Thus, neither study found evidence that inbreeding avoidance is up-regulated during the ovulatory phase of the menstrual cycle.
Inequalities in health system responsiveness among asylum seekers and refugees: A population-based, cross-sectional study in Germany

Global migration has sparked renewed interest in Universal Health Coverage in high-income countries. However, quality of care has received little attention. This study uses the concept of responsiveness to study quality of care for asylum seekers and refugees (ASR) in Germany and identify inequalities among this group. We report results from a population-based, cross-sectional health monitoring survey in Germany’s third-largest federal state using random sampling methods. Established instruments were used to measure responsiveness, health status and socio-demographic factors. Data were weighted and adjusted logistic regression models applied to identify inequalities related to health status, structural and socio-demographic factors. N = 344 survey participants were included in the analysis (response rate 39.2%). Combined responsiveness was 77% (95%CI: 68%; 83%) but varied between domains. Responsiveness was poor for individuals with symptoms of anxiety (OR 0.35, 95%CI 0.13,0.99), longstanding illness (OR:0.42, 95%CI:0.17,1.06) and diminished health-related quality of life (OR:0.24, 95%CI:0.06,0.95). Individuals from Southern Asia (OR: 0.24, 95%CI: 0.07,0.86) and young participants (OR:0.31, 95%CI:0.12,0.82) also reported less responsive care. Unique patterns of explanatory factors were identified within each responsiveness domain. We found important differences in responsiveness related to health, socio-demographic and structural factors, both in combined responsiveness and in individual domains. Inequalities related to health status factors are particularly concerning given the potential implications for equity of access. Future research should explore responsiveness for different sectors, include individuals who have not utilised healthcare and allow for the adjustment of differential expectations of care between population groups.
The WIYN Open Cluster Study Photometric Binary Survey: Initial Findings for NGC 188

Abstract The WIYN open cluster study (WOCS) has been working to yield precise optical (UBRVI) photometry for all stars in the field of a selection of “prototypical” open clusters. Additionally, WOCS has been using radial velocities to obtain orbit solutions for cluster member hard-binary stars (with period less than 1000 days). Recently, WOCS has been expanded to include the near-infrared (JHKs; 2MASS plus new deep ground-based) and mid-infrared ([3.6], [4.5], [5.8], [8.0] micron) photometry from Spitzer/IRAC observations. This multi-wavelength data (0.3–8.0 microns) allows us to identify binaries photometrically, with mass ratios from 1.0–0.3, across a wide range of primary masses. The spectral energy distribution (SED) fitter by Robitaille et al. (2007) is used to fit the fluxes of 10–12 bands to Kurucz stellar models. This technique allows us to explore the soft binary population for the first time. Using this photometric technique, we find that NGC 188 has a binary fraction of 36-49% and provide a star-by-star comparison to the WOCS radial velocity-based hard binary study.
Semi-Supervised Learning for Forest Fire Segmentation Using UAV Imagery

Unmanned aerial vehicles (UAVs) are an efficient tool for monitoring forest fire due to its advantages, e.g., cost-saving, lightweight, flexible, etc. Semantic segmentation can provide a model aircraft to rapidly and accurately determine the location of a forest fire. However, training a semantic segmentation model requires a large number of labeled images, which is labor-intensive and time-consuming to generate. To address the lack of labeled images, we propose, in this paper, a semi-supervised learning-based segmentation network, SemiFSNet. By taking into account the unique characteristics of UAV-acquired imagery of forest fire, the proposed method first uses occlusion-aware data augmentation for labeled data to increase the robustness of the trained model. In SemiFSNet, a dynamic encoder network replaces the ordinary convolution with dynamic convolution, thus enabling the learned feature to better represent the fire feature with varying size and shape. To mitigate the impact of complex scene background, we also propose a feature refinement module by integrating an attention mechanism to highlight the salient feature information, thus improving the performance of the segmentation network. Additionally, consistency regularization is introduced to exploit the rich information that unlabeled data contain, thus aiding the semi-supervised learning. To validate the effectiveness of the proposed method, extensive experiments were conducted on the Flame dataset and Corsican dataset. The experimental results show that the proposed model outperforms state-of-the-art methods and is competitive to its fully supervised learning counterpart.
In Vitro Propagation of Papaya1

Rapid clonal propagation of papaya (Carica papaya L.) was obtained by culturing apices of mature field-grown plants on a modified Murashige and Skoog formulation. Individual plantlets were first induced on a medium with 50 μm kinetin and 10 μm naphthaleneacetic acid (NAA). Plantlets were transferred after 2 months to a proliferation medium containing μm benzyladenine (BA) and 1 μm NAA, which caused a 7-fold increase in the total number of plants during each 3 week period. Rooting was induced by subculturing plantlets on media with 0.5 – 15 μm indolebutyric acid (IBA) or 1–5 μm NAA. Successful transfer of papayas to soil was accomplished.
Working from Home during the COVID-19 Pandemic and Its Effects on Diet, Sedentary Lifestyle, and Stress

Many companies switched to working from home (WFH) after the COVID-19 pandemic. This paper aimed to examine the changes in dietary behavior, body weight, sedentary lifestyle, and stress in individuals who practice WFH. A cross-sectional, web-based questionnaire was administered between March and May 2021 and included socio-demographic characteristics, anthropometric measurements, WFH arrangement, changes in diet, sedentary lifestyle, and stress status. A total of 328 individuals (260 women, 68 men), aged 31.3 ± 8.3 years with a BMI of 24.9 ± 4.6 kg/m2, participated in the study. The questionnaire revealed that the daily working time increased with WFH. The majority of the individuals (59.1%) gained weight. The average daily sedentary time and the Perceived Stress Scale score increased significantly. The daily sedentary time and Non-Healthy Diet Index scores were higher in individuals who gained weight (p < 0.05). A multinominal regression model revealed that increased body weight was less likely in individuals with underweight and normal BMI classifications. Normal BMI, stable work shifts, and no physical activity were positive predictors for gaining weight. These results suggest that WFH may have significant negative effects on physical and mental status of individuals.