Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Successful Attributes for Undergraduate Students by Applying Machine Learning Techniques

Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how successful students regulate their learnings in this course. The answer to these questions will provide teachers with useful information to better comprehend how students learn and which strategies are effective in learning. Research Questions: 1) Which algorithm in supervised learning is the best one for predicting students’ final performance? and 2) What attributes are key to succeed in this course? Methodology: Seven supervised ML algorithms and ensembles are conducted to compare the performance of classifiers regarding the levels of accuracy, precision, and sensitivity. The association rule and clustering are also employed to discover the key attributes for successful students. Because the present study used a convenience sample for data analysis, the number of students in each cluster was a potential limitation. Findings: The results show that Naïve Bayes is the most appropriate one for predicting students’ final performance. The measure in accuracy and sensitivity of this classifier achieves 83.26% and 92.88%, respectively. In addition, the association rule indicates that “to make sure keep up with the weekly progress in the class” and self-efficacy beliefs play important roles on final performances for learners. The clustering findings reveal similar results.
Eurographics Symposium on Geometry Processing (2005) Geometric Construction of Coordinates for Convex Polyhedra Using Polar Duals

A fundamental problem in geometry processing is that of expressing a point inside a convex polyhedron as a combination of the vertices of the polyhedron. Instances of this problem arise often in mesh parameterization and 3D deformation. A related problem is to express a vector lying in a convex cone as a non-negative combination of edge rays of this cone. This problem also arises in many applications such as planar graph embedding and spherical parameterization. In this paper, we present a unified geometric construction for building these weighted combinations using the notion of polar duals. We show that our method yields a simple geometric construction for Wachspress's barycentric coordinates, as well as for constructing Colin de Verdière matrices from convex polyhedra—a critical step in Lovasz's method with applications to parameterizations.
Working Papers / Documents de travail

We revisit fertility analysis in Tunisia by examining family interference in birth control through: woman’s marriage age, post-marriage delay in the first use of contraception, past and current contraceptive use, and choice of the birth control methods. Using data from the 2001 PAP-FAM Tunisian survey, we find that the significant effects of covariates arise and vanish across stage-specific equations as women progress in their lifecycle. In Tunisia, family links and socio-cultural environment appear to greatly shape fertility regulation in the direction of higher fertility. This calls for more intensive involvement of the extended families in family planning policies. This also suggests that the resurgence of traditionalist politico-religious movements, often associated with youth radicalization, may affect future fertility in Tunisia through an increase in family influences on birth control by married women.
S3-Leitlinie: Lungenerkrankung bei Mukoviszidose – Modul 2: Diagnostik und Therapie bei der chronischen Infektion mit Pseudomonas aeruginosa

Zusammenfassung Mukoviszidose (Cystic Fibrosis, CF) ist die häufigste, autosomal-rezessiv vererbte Multisystemerkrankung. In Deutschland sind ca. 8000 Menschen betroffen. Die Erkrankung wird durch Mutationen im Cystic Fibrosis Transmembrane Conductance Regulator (CFTR-) Gen verursacht; diese führen zu einer Fehlfunktion des Chloridkanals CFTR. Dadurch kommt es in den Atemwegen zu einer unzureichenden Hydrierung des epithelialen Flüssigkeitsfilms und somit zu einer chronischen Inflammation. Rezidivierende Infektionen der Atemwege sowie pulmonale Exazerbationen der Lunge führen im Verlauf zu zunehmender Inflammation, pulmonaler Fibrose und fortschreitender Lungendestruktion bis hin zur respiratorischen Globalinsuffizienz, die für über 90 % der Mortalität verantwortlich ist. Das Ziel der medikamentösen Therapie ist die pulmonale Inflammation und v. a. die Infektion der Atemwege zu reduzieren. Der Kolonisation und chronischen Infektion mit Pseudomonas aeruginosa (Pa) kommt die größte Bedeutung zu. Diese führt zu weiterem Verlust an Lungenfunktion. Für die medikamentöse Therapie der chronischen Pa-Infektion stehen viele unterschiedliche Therapieoptionen zur Verfügung. Mit dieser S3-Leitlinie wird eine einheitliche Definition für die chronische Pa-Infektion implementiert sowie eine evidenzbasierte Diagnostik und Therapie dargelegt, um eine Orientierung bei der individuellen Therapieentscheidung zu geben.
EVALUATION OF ANTIOXIDANT AND FREE RADICAL SCAVENGING ACTIVITY OF SELECTED MEDICINAL PLANTS USING DIFFERENT MODELS IN SWISS ALBINO MICE BRAIN

: The current research was aimed to estimate and compare the antioxidant effect of selected medicinal plants collected from different areas of Balochistan, Pakistan. The antioxidant activitywas determined by 2, 2-diphenyl-1-picryl hydrazyl(DPPH) a radical scavenging assay, lipid peroxidation assay and total antioxidant assay. Plant extracts demonstratedhangups alongside thiobarbituric acid reactive species (TBARS) tempted by pro-oxidant 10uM ferroussulphate (FeSO4) or sodium nitroprusside in the brain region of mice. Plants extracts showed significantferric reducing and free radical scavenging activity and also showed the higher concntration of both flavonoids and phenols. It was observed that higher thetotal polyphenolicand falavonoidscontentsbetter the antioxidant effect. All the plant samples showed the order of their antioxidant activity as Ginkgo Biloba>Cuscutareflexa. The data obtained in the present study shows that all selected plants have inhibitory effect and antioxidant activity. The antioxidant effect of the selected plants might be related to the higher concentration of phenolic. Contents,ferric reducing ability and free radical scavenging activity.In this study we tried to provide the scientific proof for the traditional use of the selectedmedicinal plants as antioxidants.
GSK-3 inhibitors in glioblastoma therapy: mechanisms of action

Glioblastoma multiforme (GBM) is the most malignant form of brain cancer. Therapies targeting glioblastoma have not consistently been able to give those diagnosed the best prognosis. Treatments that directly infiltrate into the tumor are highly sought after. Indirubins have been used to treat various types of cancers and are a promising avenue for future glioma research. In the current study, we further researched several key GSK-3 inhibitors, BIO (an indirubin) and CHIR99021, in addition to LiCl, to see their effects on the translocation of β-catenin to the nucleus, and the invasion and migration of cells in both a sphere assay and an aortic ring assay. Here we studied anti-invasive therapies that may have a future role in GBM treatment. It is thought that combining conventional treatments with anti-invasive therapies will create cytotoxicity in and reduce migration of the tumor. Three types of cells were used throughout the experiments: HBMEC, HUVEC, and U251 glioma cells. We reported that GSK-3 inhibitors might have a valuable role in the treatment of GBM. The selected inhibitors (BIO, CHIR99021, and LiCl) all were shown to lessen cell migration and invasion in vitro in a range of assays and in all cell lines tested. All inhibitors tested cause a dose-dependent, reversible inhibition of glioma cell invasion in spheroid assays. BIO was shown to cause a rapid upregulation of total and nuclear β-
Effect of water temperature of culture medium on the sex ratio and survival rate of fighting fish Betta dennisyongi larvae

Fighting fish Betta dennisyongi is a popular ornamental freshwater fish in Indonesia. Male fighting fish are preferred because the colour pattern and shape of the fins are more attractive so they are more expensive. This study aims to determine the optimum temperature of rearing media water on the male sex ratio and survival rate of fighting fish larvae. A completely randomized design method with three replications was used in this study. The tested rearing temperature water was: 26°C, 28°C, 30°C, and 32°C. Fish were kept for 40 days. The results of the ANOVA test showed that larval rearing temperature affected significantly the ratio of male and female fish larvae survival (P<0.05). The highest percentage of the male sex was found at a temperature of 32 °C (93.33%), this value was significantly different from other temperature treatments. Meanwhile, the highest larval survival was obtained at a rearing temperature of 28 °C (80.00%), where this value was significantly different from other treatments. Therefore, with economic considerations, it is concluded that the optimal larval rearing media temperature is 28 °C.
Design of a Wind Power Forecasting System Based on Deep Learning

In recent years, wind energy, as a ubiquitous, easy-to-capture cost-effective clean energy, is accounting for a sharp increase in the installed capacity of China’s new energy grid. However, its stochastic volatility has always brought challenges to the generation scheduling of wind farms. To better optimize the energy management level of wind farms and improve the stability of wind power grid connection, this paper proposes a design of a wind power forecasting system based on deep learning. Our system architecture mainly includes data pre-processing, power prediction, and data application modules. The data pre-processing module will correct the numerical weather forecast (NWP) updated twice daily to get the wind turbine generator (WTG) hub height weather forecast and resample the SCADA data in a 15-minute time resolution. The power prediction module will periodically perform the ultra-short-term and short-term forecasting results and record them in the database. On one hand, the data application module will present the power prediction results and SCADA data to the web page for display. On the other hand, it will provide data to the energy dispatching department for reference. The experiment shows the effect of using a residual channel attention network (RCAN) to correct the NWP and the influence of two different RNN cores, including GRU and LSTM, on the prediction of ultra-short-term wind power results of the DeepAR model. The experimental results show that the proposed RCAN can effectively correct the results of the numerical weather forecast to a single WTG, and the DeepAR model using the GRU core can achieve better performance in the test set than the DeepAR model using the LSTM core. Thus, we choose GRU as the core of the model of our power prediction module.
Chemical, physicochemical and sensory properties of yoghurt and yoghurt simulates produced from the blends of cow milk and coconut milk

Chemical, physico-chemical and sensory properties of yoghurt and yoghurt simulates produced from blends of cow milk and coconut milk were investigated to produce a value-added product from the blends. Cow milk and coconut milk were blended in ratios 100:0; 80:20; 60:40; 50;50; 40:60; 20:80 and 0:100. Colour, pH, titratable acidity (TTA), proximate and mineral composition of the yoghurt samples were determined using standard methods. A 30–member panel assessed the yoghurt samples for sensory attributes, using a 5-point Hedonic scale. The L* value showed that 100% cow milk was the lightest with a value of 101.78. The pH and TTA values ranged from 3.78-3.81 and 0.21-0.51% respectively. The moisture contents ranged from 77.28–84.92%, protein: 2.20 – 4.69%, ash: 0.44 – 1.02%, fat: 0.07 – 0.31%, carbohydrate: 11.06 – 16.52%. , phosphorus: 26.55 – 84.7 mg/100g, potassium: 62.27 – 161.62 mg/100g, zinc: 0.15 – 0.73 mg/100g, iron: 39.38 – 91.59 mg/100g, magnesium: 6.34 – 20.69 mg/100g, calcium: 61.58 – 217.23 mg/100g and manganese: 7.07 – 220 mg/100g. The yoghurt blend with 40% coconut was the most preferred among the blends and next to the sample with 100% milk in terms of general acceptability. Coconut yoghurt could serve as substitute for yoghurt from cow milk.
Exploration of The Natural Extender for Dilution of Walking Catfish Clarias batrachus Sperm in Refrigerated Storage

Walking catfish Clarias batrachus is a freshwaterr fish that has high economic value. Currently, the culture of this local catfish has been initiated in Indonesia, but the breeding technology has not been well developed. Therefore, this study aims to explore the type of natural extender for sperm preservation of local catfish C. batrachus so that it can support the development of its breeding technology, especially in remote areas. The research was conducted at the Hatchery Laboratory of the Faculty of Marine and Fisheries, Universitas Syiahh Kuala, Banda Aceh, Indonesia. Four types of natural extenders were tested in this study, namely young coconut water, nira water, sugarcane water, and old coconut water. Completely randomized design method consisting of five treatments and three replications were used in this study. Sperm were diluted with each tested extender with a sperm dilution rate of 1:20 (sperm: extender, v/v), then stored at 4 °C. The motility and viability were monitored every 24 h interval for 6 days. The results showed that the natural extender significantly affected the motility, viability, and sperm fertility of walking catfish (P<0.05). Young coconut water produced higher motility and viability on all observation days. The higher sperm motility, viability, and egg fertility on the last day of the experiment were also found in sperm diluted in young coconut water, with values of 45.83%, 43.83%, and 41.50%, respectively. These values were significantly different from other types of extenders. Therefore, it is concluded that young coconut water is the most suitable natural extender for sperm preservation of local catfish at 4 °C.
systematic review and meta-analysis for thrombolysis treatment in patients with acute submassive pulmonary embolism

Purpose: The aim of this systematic review was to evaluate the efficacy and safety of thrombolytic treatment in patients with submassive pulmonary embolism (PE). Methods: An electronic search was carried out based on the databases from MEDLINE, Embase, Science Citation Index (SCI), and the Cochrane Library. We included prospective, randomized, and clinical trials in thrombolysis with heparin alone in adults who had evidence of right ventricular dysfunction and normotension. The main endpoints consist of mortality, recurrent PE, and bleeding risk. The relative risk (RR) and the relevant 95% confidence intervals were determined by the dichotomous variable. Results: Only seven studies involving 594 patients met the inclusion criteria for further review. The cumulative effect of thrombolysis, compared with intravenous heparin, demonstrated no statistically significant difference in mortality (2.7% versus 4.3%; RR = 0.64 [0.29–1.40]; P = 0.27) or recurrent PE (2% versus 5%; RR = 0.44 [0.19–1.05]; P = 0.06). Thrombolytic therapy did not increase major hemorrhage compared with intravenous heparin (4.5% versus 3.3%; RR = 1.16 [0.51–2.60]; P = 0.73), but it was associated with an increased minor hemorrhage (41% versus 9%; RR = 3.91 [1.46–10.48]; P = 0.007). Conclusion: Compared with heparin alone, neither mortality nor recurrent PE is reduced by thrombolysis in patients with submassive PE, and it does not reveal an increasing risk of major bleeding. In addition, thrombolysis also produces the increased risk of minor bleeding; however, no sufficient evidence verifies the thrombolytic benefit in this review, because the number of patients enrolled in the trials is limited. Therefore, a large, double-blind clinical trial is required to prove the outcomes of this meta-analysis.
Fabric Defect Detection Using a One-class Classification Based on Depthwise Separable Convolution Autoencoder

Fabric defect detection is anomaly detection, which is widely studied in the textile industry. Like most anomaly detection tasks, there are some problems hindering detection results, such as class imbalance, defective sample scarcity, and feature selection. This paper proposes a method applying depthwise separable convolution autoencoder on dimensionality reduction and one-class classifier support vector data description (SVDD) to detect fabric defects. A depthwise separable convolution autoencoder can effectively extract sample features with less computation and fewer parameters than the regular convolution, which will be easily used in industrial production. SVDD can only use non-defective samples to train the classifier and solve the difficulty and heavy cost of collecting negative samples (defective samples). In this paper, we will demonstrate the effectiveness of the method on polyester fibers by using accuracy and AUC as evaluation criteria.
Image Recognition of Peach Pests Based on Improved Convnext

A ConvNeXt-based image recognition model for peach tree pests is proposed to address the problem of low accuracy of pest image recognition due to the large intra-class morphological variation of peach tree pests in natural scenes. First, ConvNeXt is used as the backbone network and the model structure is optimized by introducing the visual perceptual field module to extract discriminative features of peach tree pests. Secondly, a joint loss function is used to make the model continuously learn the features that minimize the intra-class distance to accelerate the model convergence and improve the recognition accuracy. Finally, two tandem fully connected layers are used to replace the original fully connected layer, and the feature vectors input to the fully connected layer are visualized to show the pest classification effect. The experimental results show that compared with 10 networks such as RegNet, the model in this paper effectively improves the recognition accuracy of peach tree pest images, and the accuracy is improved by 4.8% compared with the standard ConvNeXt, which verifies the effectiveness of the model in this paper for accurate recognition of peach tree pest images in natural scenes.
Image stitching method based on feature optimization and circular function weighted fusion

To address the issues of ghosting and chromatic gaps in parallax image stitching, this paper proposes a novel method based on feature optimization and circular function weighted fusion. The method employs the Scale-Invariant Feature Transform (SIFT) algorithm with dimensionality reduction optimization to extract point features, while the Grid-based Motion Statistics (GMS) algorithm is utilized to eliminate mismatched points. To further enhance the number of features, line features are also introduced. A local warping model is employed to guide the deformation of the grid image. Finally, a nonlinear fading-in and fading-out fusion model with circular function weighting is proposed for better image transition. Experimental results demonstrate that the proposed method is effective in dealing with ghosting and chromatic gaps compared to several existing methods.
mir-182 promotes tumor growth and increases chemoresistance of human anaplastic thyroid cancer by targeting tripartite motif 8

: Chemotherapy is one of the most effective forms of cancer treatment and has been used in the treatment of various malignant tumors. We have gained significant insight into the mechanisms of chemoresistance but the details of the molecular mechanisms remain unclear. In the present study, we found that tripartite motif 8 (TRIM8) expression was downregulated in anaplastic thyroid cancer (ATC) tissues and cell lines. This downregulation of TRIM8 was significantly correlated with the upregulation of miR-182 in human ATC tissues. Bioinformatic analysis and luciferase reporter assays identified TRIM8 as a direct target of miR-182 in ATC. A functional assay using an MTT assay and colony formation showed that miR-182 induced cellular growth by repressing TRIM8 expression. Additionally, overexpressed miR-182 contributed to the chemoresistance of ATC cells by the repression of TRIM8 expression. In conclusion, these results demonstrate that miR-182/TRIM8 may be a therapeutic target for the treatment of chemoresistant human thyroid papillary cancer.
Molecular Systems Biology Peer Review Process File Chromatin Measurements Reveal Contributions of Synthesis and Decay to Steady-state Mrna Levels Transaction Report

(Note: With the exception of the correction of typographical or spelling errors that could be a source of ambiguity, letters and reports are not edited. The original formatting of letters and referee reports may not be reflected in this compilation.) Thank you again for submitting your work to Molecular Systems Biology. We have now heard back from the three referees who agreed to evaluate your manuscript. As you will see from the reports below, the referees raise substantial concerns on your work, which, I am afraid to say, preclude its publication in its present form. While the reviewers generally found the goals of this manuscript potentially interesting, they raised a series of important concerns which they felt were sufficient to cast doubts on some of the key conclusions derived from these data. I would like to highlight two concerns which I feel are particularly important: 1. The first reviewer had issues related to the statistical analysis of this data, including concerns about the calculation of transcriptional rates, bimodality in the mRNA concentrations, and the validity of the linear regression methods used. This reviewer felt that addressing these potential problems could alter some of the main results of this work. Reviewer #3 (point #2) seems to have some similar concerns. 2. The second reviewer had substantial concerns regarding the physiological relevance of the turnover rates inferring from the actinomycin D experiments, and felt that these measurements either need to be supported with additional data or measured with a different, more accurate technology. The reviewers do provide a series of constructive recommendations for additional experiments and analyses that may address these concerns. However, given the fundamental nature of these issues the editor would like to emphasize any revised work would need to conclusively address these issues and the others raised by the reviewers, and would likely require additional supporting experimental data, particular in regard to the latter point.
Smart modelling of dairy milk production with machine learning

Complex non-linear correlations between the predictors (features) and the independent variable can be modeled using machine learning techniques. This modeling strategy is clever because it uses machine learning to develop process predictions after the right model has been created. Therefore, the purpose of this work was to examine how to simulate dairy milk production using machine learning. The daily milk output in Iwo and its environs between May 26, 2021, and May 31, 2022, as measured in liters, was used. Five features in the data set were identified; the day of the week, month, year, season and day number. We tested a total of 14 different supervised learning (regression) machine learning techniques. 20% of the data were used for validation, while 80% were used to train these algorithms. The Bagged Tree gave the highest R - square value of 0.67 and the lowest RMSE of 20.26 among the 14 Machine Learning techniques taken into account. It is therefore recommended to be used in smart prediction of daily milk production in Iwo and its environs. Also, season was found to influence milk production in the study area with higher milk production in wet season than dry season(p<.05).