Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer model of resource demand planning for dairy farms

The research presents results of the analysis of scientific and practical conditions of planning of the needs for resources, required for the implementation of the projects of agricultural production. The work substantiates the improvement of the method of forecasting the demand of natural resources, required for fodder production. That method expects the performance of four stages, which are based on production experiments and require computer modeling. The presented method, contrary to the existing ones, considers changeable natural-climatic, subject, organization, and scale constituents of the project environment of the agricultural production projects. Using the developed computer model for forecasting of the natural resource demand for fodder production under conditions of the agricultural servicing cooperative “Pokrova” of Zabolottsi community in Brody district of Lviv region, the work has studied impact of natural-climatic, organization and scale constituents of production conditions on the variation of the natural resource demand. It is confirmed that the mathematical expectation of the area of the required field for the growing of fodder crops with a proportional change of the milking herd population is made according to polynomial dependencies of the second order. The correlation coefficient of the obtained dependencies is 0.85…0.99. It confirms a strong correlation relation between the mathematical expectation of the area of the field, necessary for the growing of fodder crops, and the structure of the milking herd population. The increase of the milking herd population results in the growth of the mathematical expectation and insufficient increase of the mean-square deviation of the area of the field, required for growing of fodder crops.
Shear Deformation and Ferroelectricity in Chiral SmC* Main-chain Elastomers

Ferroelectric smectic main-chain liquid crystalline elastomers were synthesized and subjected to simple shear deformation to achieve reorientation of the layer structure and the formation of a macroscopic spontaneous polarization. The phase behavior and structural parameters of these elastomers are investigated and discussed. A shear-induced splitting of the X-ray scattering intensity distribution is found. A splitting of the sample in domains of two director orientations that couple differently to the shear deformation is proposed. The smectic layers also move at different affinities depending on their initial orientation. The smectic layer spacing was found to be nearly constant even though the smectic tilt angle changes significantly. The realignment of the smectic layers indicates a migration process, where depending on their original orientation the layer normals are leaving or entering the X-ray scattering plane. The spontaneous polarization was found to be linearly dependent on the dopant concentra.
Does Being Gritty Mean Being College-Ready? Investigating the Link between Grit and College Readiness among Filipino K-12 Graduates

This study challenges the basic assumption that college readiness is accounted to senior high school (SHS) graduates’ cognitive abilities. It proffers that certain non-cognitive personality traits like grit may influence the college readiness of SHS graduates in a non-Western context. The study used descriptive-correlation design to examine the relationship between grit and college readiness of 7,533 K-12 graduates enrolled in one public university in the north-eastern part of the Philippines. The results reveal that K-12 graduates admitted in the respondent-university are “mostly gritty,” and a more significant proportion of them are college-unready. The students' grittiness is exemplified in the Filipinos' grit-related concepts such as sigasig (persistence of effort) and tiyaga (constancy in work) that are pursued because of their concept of “relational self. ” The test of the relationship shows that grit has a positive influence on the college readiness of SHS graduates. This finding proves that cognitive traits may not be a good factor in making SHS graduates admitted and successful in college. Essentially, some non-cognitive traits like grit are as vital as intellectual abilities in influencing college readiness. Given these results, it is imperative that educators and school administrators of the K-12 program need to develop further not only the intellectual abilities of the students under their care but also to give equal emphasis and development among elementary and secondary students as it is a valid and essential personal trait to better prepare them for a college education. https://doi.org/10.26803/ijlter.19.9. 9
36 Prognostic value and association with veliparib benefit of modeled CA-125 elimination kinetics (KELIM) in patients with newly diagnosed ovarian cancer: analysis from the VELIA/GOG-3005 study

Introduction In VELIA (Phase 3), veliparib with carboplatin/paclitaxel (CP), followed by veliparib maintenance (veliparib-throughout) led to improved progression-free survival (PFS) vs CP alone (control). This exploratory analysis assessed the prognostic and predictive value of the modeled CA-125 elimination rate constant, KELIM. Methods KELIM was estimated from treatment-related pharmacodynamic modeling of CA-125 values. Median KELIM was used to define favourable (≥median)/unfavourable ( Results In the IDS population (N=154), patients with favourable KELIM had a higher frequency of complete surgery vs unfavourable KELIM (51.9% vs 32.4%), confirming KELIM as a chemosensitivity marker. In both PDS (N=700) and IDS populations, median PFS was longer with favourable KELIM vs unfavourable KELIM, demonstrating a prognostic value. In the PDS population, median PFS was longer in the veliparib-throughout arm relative to control irrespective of KELIM (29.6 vs. 20.9 and 18.2 vs 15.4 months in favourable and unfavourable KELIM groups, respectively; figure 1). In the IDS population, median PFS was longer with veliparib-throughout vs control for patients with favourable KELIM only (29.3 vs 20.8 months; figure 2). Conclusion In VELIA, KELIM was prognostic for PFS and IDS outcomes. Current data suggest KELIM may be associated with veliparib benefit. Ongoing analyses will explore how baseline characteristics contribute to KELIM predictive/prognostic value.
Diabetic Macular Edema Characterization and Visualization Using Optical Coherence Tomography Images

Diabetic Retinopathy and Diabetic Macular Edema (DME) represent one of the main causes of blindness in developed countries. They are characterized by fluid deposits in the retinal layers, causing a progressive vision loss over the time. The clinical literature defines three DME types according to the texture and disposition of the fluid accumulations: Cystoid Macular Edema (CME), Diffuse Retinal Thickening (DRT) and Serous Retinal Detachment (SRD). Detecting each one is essential as, depending on their presence, the expert will decide on the adequate treatment of the pathology. In this work, we propose a robust detection and visualization methodology based on the analysis of independent image regions. We study a complete and heterogeneous library of 375 texture and intensity features in a dataset of 356 labeled images from two of the most used capture devices in the clinical domain: a CIRRUSTM HD-OCT 500 Carl Zeiss Meditec and 179 OCT images from a modular HRA + OCT SPECTRALIS® from Heidelberg Engineering, Inc. We extracted 33,810 samples for each type of DME for the feature analysis and incremental training of four different classifier paradigms. This way, we achieved an 84.04% average accuracy for CME, 78.44% average accuracy for DRT and 95.40% average accuracy for SRD. These models are used to generate an intuitive visualization of the fluid regions. We use an image sampling and voting strategy, resulting in a system capable of detecting and characterizing the three types of DME presenting them in an intuitive and repeatable way.
Electric Vehicle Waiting Time Prediction with OpenCV and Support Vector Regression

This paper proposes a system that aimed to solve the lack of a charging station infrastructure by providing waiting time information to electric vehicle (EV) drivers for optimal charging options. This system determines the number of vehicle movements, such as entering or leaving the charging station in real-time. Furthermore, the Changwon National University area's charging station is simulated with a PC server and camera as the real-time video input; the OpenCV and MobileNet SSD object detection network is used to detect and track vehicle movements in the charging station, and the Firebase real-time database is used as the server. For the mobile application, maps featured with Kakao Maps API in the user interface are installed. In addition to the information regarding the current status of the charging station, a prediction system with Support Vector Regression (SVR) was added so that EV drivers can schedule charging ahead of time. Therefore, the proposed system aimed to assist EV drivers in navigation and reduce waiting times for charging. The simulation was conducted to evaluate the proposed system performance and got an average time-response result of 7.77 seconds from the moment EVs were detected until it was displayed in the mobile application interface.
BREAD PRODUCED FROM COMPOSITE FLOURS USING Saccharomyces cerevisiae ISOLATED FROM LOCAL FERMENTED BEVERAGE (BURKUTU)

Composite flour/bread technology is an important area to be properly harnessed in food industries to help reduce the cost of wheat importation in Nigeria. In this study, bread produced from composite flours using Saccharomyces cerevisiae isolated from local fermented beverage (Burkutu) was investigated. Sugar fermentation, carbohydrate utilization and ethanol tolerance tests were carried out in identifying and characterizing the yeast isolates. Composite breads were produced from Wheat Flour (WF) (100%) and its blends with Rice Flour (RF) (40%), Plantain Flour (PF) (40%) and Cassava Flour (CF) (40%) using the straight dough method. The yeast survived in 25% glucose and 15% ethanol, suggesting its usefulness in industrial application. Loaf weights and loaf volumes of the composite bread samples ranged from 318.4 - 355.7 g, and 420.6 - 457.3 mL respectively, with 100% Wheat Bread ranking highest while Composite rice bread the least, using a significant difference of P 0.05) in the bread samples analysed. Shelf life assessment of the bread samples at room temperature (26±1oC) within the first three days revealed no microbial growth/cell count. Bread produced from the incorporation of cassava with wheat flour was found to be acceptable, with insignificant variation when compared to bread made with 100% wheat flour.
Active Learning Strategy Through Peer Lesson: An Effort to Instill Positive Behavior in Elementary School

The current study aimed to find a portrayal of learning activities held by teachers using a peer lesson strategy in grade VI students at SDN 02 Lebong Sakti. This study used a qualitative approach, and the teachers at the aforesaid school were involved as the key informants. The data were collected using virtual interviews because this study took place in the period of co-19 pandemic. This study concluded that: The application of peer lesson method conducted by teachers, especially Islamic education teachers, not only gave a new color to students so that they could engage in learning, but also could have a positive impact on the formation of students’ behavior, such as: having independence in learning, getting increases in curiosity and the courage to raise opinions in front of the class in a polite manner, experiencing high enthusiasm, and building up mutual respect for fellow students.
Simulation modeling for optimal production planning using Tecnomatix software

Efficient use of production capacity is an important complex of engineering tasks. Faced with the need to modernize production in the face of high competition and changing customer needs, company owners are forced to test new engineering solutions. Maximizing the existing production capacity plays a fundamental role in maintaining competitiveness and improving the efficiency of resource use in the production of electronic equipment. Electronic equipment manufacturing uses a make-to-order strategy and has a large number of variants of the product in a very small batch. But it is a problem of implementing the standard solution for efficient use of production capacities. Using simulation methods allows one to make informed decisions on using planning and scheduling in small-batch make-to-order production. We describe the process of developing a simulation model of the assembly shop of electronic production using Tecnomatix Plant Simulation software. The focus is on the search for the optimal capacity utilization of the workshop. The created model allows getting detailed statistics about various aspects of functioning of the workshop, depending on the input data.
Chemical Durability of Some Sodium Borosilicate Glasses Improved by Phase Separation

Etude de la dissolution de verres de composition generale xNa 2 O-(100-x) [0,33 B 2 O 3 -0,67 SiO 2 ] avec 3<x<11, avec ou sans separation de phases prealable. On observe une reduction importante de la vitesse de dissolution dans les verres avec x=3 et separation de phase, qui est reliee au developpement d'une microstructure a phase separee dans laquelle une phase, qui est reliee au developpement d'une microstructure a phase separee dans laquelle une phase riche en (Na 2 O+B 2 O 3 ), la moins stable, est dispersee sous forme de particules a l'interieur d'une matrice riche en SiO 2 , la plus stable
Preparation and properties of sulfopropyl chitosan derivatives with various sulfonation degree

In this investigation, chitosan (CS) is modified by propane sultone via a sulfonation reaction to create various degrees of sulfonation. The sulfonated chitosan (SCS) has a pendant alkyl sulfonic group dangling at the side chain, which can improve its hydrophilicity and water solubility. Elemental analysis, Fourier transform infrared spectroscopy (FTIR) and 13C nuclear magnetic resonance (13C NMR) were applied to identify the structure by determining the distribution of the substituents in the product. The degree of sulfonation in the SCS can be controlled and the hydrogen bonding interaction can be reduced by varying the degree of sulfonation. A solubility test proved that solubility increased with degree of substitution at over a wide range of pH values. X-ray diffraction patterns of SCS samples demonstrated that the crystallinity declined as the degree of sulfonation increased. Thermogravimetric analysis and modulated differential scanning calorimetry (MDSC) results indicated that thermal stability fell but water absorbance increased with the degree of sulfonation. More water-soluble SCS is thus obtained. The controllable different sulfonation degree of the CS polymer suggests new possibilities for the application of CS-based materials. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010
Publications after conference presentations: A systematic review of published studies.

BACKGROUND AND AIMS Conferences provide an opportunity to present findings to an audience of experts in the field and get feedback for putting the research in context. Since conference proceedings provide limited space for presenting the findings, research publications are able to provide a better platform for the wider reach, scrupulous peer evaluation, and temporal consolidation of the medical scientific material. This review attempts to collate the studies which have evaluated the abstract publication ratio of the conference presentations. METHODS The systematic review and meta-analysis included peer reviewed publications which quantitatively reported the publication rate of conference presentations. RESULTS A total of 28 studies were included, with sample sizes ranging from 82 to 1897 abstracts (total 17,172 abstracts). The publication rate ranged from 3.8% to 78.0%, with weighted mean publication rate of 41.8% (95% confidence interval of 34.1% to 49.5%). Oral presentations had a greater chance of being published as compared to poster presentations (odds ratio of 2.693, 95% confidence intervals of 1.285 to 5.646). There was high degree of heterogeneity in the findings. CONCLUSIONS A small proportion of the conference presentations ispublished. Efforts should be made to improve the abstract publication ratio to improve the wider dissemination of the available research.
Influence of meditation in reducing stress of the practitioners

Background: In the fast and competitive pace of life existing now, psychological stress has become a serious problem for many people. Meditation is a non-invasive technique for reducing stress and making people happier and healthy. It is in this background that this study was carried out by Satyananda Yoga Research Centre, Kozhikode, Kerala, India, in collaboration with WEDO (NGO), Kozhikode. Research Design: Data was collected using a questionnaire from a random sample of 90 respondents on their stress level before and after three months of breath awareness meditation imparted to them, and the level of happiness due to the practice of meditation. Tools used: The questionnaire consisted of the psychological tools to quantify Stress (Kessler et al, 2003) and Happiness (Hills and Argyle, 2002). Data was analysed and interpreted as frequencies and scores using t test and correlation. Results: When compared to before the meditation practice, more respondents experience low stress after meditation for three months. Maximum proportion of respondents are experiencing low to medium stress only after meditation. Statistically significant difference exists between the mean stress score of males and females after meditation, with females experiencing comparatively more stress than males. Meditators having low stress are experiencing the maximum level of happiness, followed by those having medium stress, while the lowest level of happiness is experienced by the meditators having high stress. No statistically significant difference was observed between the mean happiness score of males and females after meditation. Statistically significant difference in the mean happiness score is observed between the low and medium stress score categories of meditators as well as between the low and high stress score categories. The relationship between stress and happiness of the meditators is also established by the statistically significant high correlation value of 0.72 observed between these parameters. Conclusion: The study establishes the influence of meditation in reducing the stress level of the practitioners. Maximum proportion of respondents are experiencing low to medium stress only after meditation for three months, with males having less stress than females. The influence of reduced stress due to meditation in improving the happiness of meditators is also evident from this study.
Alzheimer’s Disease: A Thermodynamic Perspective

Alzheimer’s disease is investigated using a thermodynamic approach based on ion fluxes across the neuronal membrane. Our study indicates that the onset of Alzheimer’s may be aided by a hyperpolarization of this membrane, because hyperpolarization-activated cyclic nucleotide gated HCN channels 1–4 conduct inward, with the consequence of depolarising Na+/K+ currents which in turn impacts synaptic transmission and reduces plasticity.
Effective spam filter based on a hybrid method of header checking and content parsing

: In recent years, hazardous e-mails arose, such as the e-mails infected with ‘viruses’ or ‘worms’ spreading destructive programs and the ‘Phishing Mails’ defrauding e-mail accounts of the users. The number of spams continue to grow. With the related problems of spam coming to be more severe, the spam topics have become significant in various research domains. The common filtering methods include black/white list, rule learning, and those based on text classification, such as Naïve Bayes, support vector machine, and boosting trees, multi-agent and genetic algorithm. Among these, the methods based on text classification are most widely applied. Moreover, some efficient methods were proposed to consider only the e-mail's header section, based on which both operating efficiency and classification efficiency could be improved. By applying machine learning technique and decision tree data mining algorithm C4.5, this study aims to propose an efficient spam filtering method with the following features: (i) proposing a two-phase filtering mechanism to scan mainly e-mail's header and auxiliary content. (ii) Reducing the problem of false positive. The experimental results show that the authors’ method has a considerably high
Development of Cotton Pest App for Decision Making among Cotton Farmers

Aims: In this paper Cotton Pest App is designed to identify the leaf disease in cotton at early stage. Cotton Pest App is an innovative application that is useful for farmers. Methodology: The farmers can capture the images in the cotton field and upload the images. Cotton API is created and placed in cloud services. Images taken from farmers field matches with Cotton API and gets the TNAU recommendation for the cotton leaf diseases. Results: Cotton Pest App for pest management in cotton will analyze and provide an accurate recommendation to farmers about the type of pesticide for the symptoms given through the images. Conclusion: This paper expresses the idea about the creation of Cotton Pest App, an android application that helps to make management decision for cotton leaf symptoms. The study would provide a better understanding of the management practice required for the cotton leaf disease.
The Diagnostic Efficacy of MRI in the Evaluation of the Enlarged Vestibular Aqueduct in Children with Hearing Loss.

Objective The aim of our study is to evaluate the diagnostic effectiveness of magnetic resonance imaging (MRI) compared to computed tomography (CT) in the detection of enlarged vestibular aqueduct (EVA) in childhood. Methods One hundred twenty-three children who underwent temporal bone CT and MRI examinations for hearing loss between 2013 and 2020 were evaluated retrospectively. All CT and MRI images were examined by two pediatric radiologists, according to the Valvassori and Cincinnati criteria for EVA. Imaging findings on CT and MRI of the vestibular aqueduct were recorded. Two pediatric radiologists performed the measurements for EVA on CT and MRI. In addition, an otolaryngologist performed the measurements independently. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MRI compared to CT were calculated to detect EVA. The difference between the measurements on CT and MRI was investigated. The inter-observer agreement was evaluated for measurements. Results The mean age of 123 children (65 boys and 58 girls) was 50.18±50.40 months. Two hundred forty-six ears were evaluated in 123 children. On CT images, EVA was present in 28 (11.3%) of 246 ears according to Cincinnati criteria and 27 (10.9%) of 246 ears according to Valvassori criteria, respectively. While sensitivity, specificity, PPD, and NPD rates of MRI were 100%, 99%, 92.8%, and 100%, respectively, for Cincinnati criteria, for Valvassori criteria, they were 100%, 97.3%, 77.7%, and 100%, respectively. According to the visual evaluation performed without using measurement, the enlarged appearance of the vestibular aqueduct was significant for the diagnosis of EVA (p<0.001), while the absence of this appearance was significant for the exclusion of EVA (p<0.001). There was no significant difference between the measurements on CT and MRI. There was a perfect correlation between the observers for measurements. Conclusion MRI can be used as an initial imaging technique in children with suspicion of EVA to reduce radiation exposure.