Miracle-dz/UniFAR-FTUs huggingface dataset:
Planar moving flap valve structure for microfluidic control

This work describes the development of a planar mov ing flexible valve in polydimethylsiloxane (PDMS) with integrated optics components on a microfluidic device. Applying a positive pressure t o a side channel, the fluid inside deforms the flexible PDMS which then redirec ts the flow in a main stream to an alternate output channel. Simulations of the fluid and solid interaction in two channel configurations are performed in COMSOL ® using the Arbitrary Lagrangian-Eulerian (ALE) technique. As a result, t he 5 μm and 10 μm flaps were able to be deformed and redirected by a modera te flow velocity. A silicon master was produced for making PDMS chips using sta ndard replication molding technique. Using a commercial miniature peristaltic pump, a 10 μm flap is deflected in the microfabricated biochip by the flu id flowing from the side at an average flow rate of 130 μL/min in a 60 μm x 65μm channel.
Three-dimensional path planning in complex environments

Path planning for 3D navigation in virtual 3D environments is not as straightforward as its 2D navigation counterpart. Two major components can be distinguished in path planning: global and local. First, the main data structures for path planning are discussed, which will lead to a proposal for a simple data structure that represents the navigable space. After that, global path planning will be discussed, where we will consider the shortest path problem from the graph theory, and we show that it is relevant to finding a path through the environment. The most used algorithm used for this is the A* algorithm, which is guaranteed to quickly find the shortest path. Thereafter, techniques are discussed that can be used for local path planning. This will ensure that the actors navigate in an realistic way along their planned path, without having them collide with something. Keywords— path planning, 3D navigation, A*, local avoidance, spatial data structures
Greenhouse Gas Emissions Inventory of a University in the Philippines: the Case of UP Cebu

Estimating the carbon emission of a university is a key step towards carbon neutrality in the education sector and in contributing to the national greenhouse gas emission (GHG) inventory. Following the guidelines of the Philippine Climate Change Commission (CCC), this study examined the university GHG profile using the University of the Philippines Cebu (UPC) as a case study. The main goals were to create a GHG inventory that could serve as a model for other educational institutions in the Philippines and evaluate mitigation strategies that could potentially reduce emissions. Total emission of UPC in 2018 was estimated to be 1,520.6 tCO2e, equivalent to 1.1 tCO2e/capita/yr. The highest contributor to the UPC emission was student mobility, which accounted for 47.2% (717.5 tCO2e) of the total. As the university progressed through the K-12 transition years and assuming a business-as-usual scenario, it was projected that GHG emission had increased by 9.1% (151.4 tCO2e) in 2019 and by 13.6% (238.3 tCO2e) in 2020. If UPC had mitigated its emission in 2018 such as reducing its purchased electricity consumption to 7.5% by shifting to solar energy, total emission could have been reduced by 1.8% or 27.4 tCO2e. If there had been 10% less travels such as by opting to videoconferencing, UPC could have reduced its emission by 0.3% or 5.2 tCO2e. Finally, if UPC had reduced 10% of its solid waste disposal to landfills such as by recycling, carbon emission would have been lessened by 0.3% or 4.7 tCO2e. Through this research, UPC is the first national university in the Philippines to measure its carbon emissions using CCC guidelines. An understanding of the university carbon footprint could significantly raise awareness among stakeholders of their roles and responsibilities in creating a sustainable campus. Moving forward, it is recommended that the inventory would be continued for the succeeding years.
Antibiotic-Free and Reduced Antibiotic Use in Broiler Production: Predisposing Factors and Control Strategies for Necrotic Enteritis

pomace, grapeseed and quebracho contain products (phenolic and flavonoid compounds) that may have antibacterial activity against various enteric Grape products, chestnut and quebracho, have in vitro antibacterial and antitoxin activities against CP, and in vivo studies have confirmed their ability to reduce CP counts and the severity of lesions in broilers challenged with coccidia and CP. The ability of some tannins to reduce bacterial loads in the litter after their fecal excretion could be a valuable tool to reduce the likelihood of CP re-infection. EO and their compounds (thymol, carvacrol, eugenol and citronellol) have demonstrated antibacterial activity against CP and some possible modulating effects in gut microflora and digestive functions. Although tannins and EO appear to be alternatives, further work is needed to understand their
HERITABILITY ESTIMATES FOR LOBLOLLY PINE WOOD SPECIFIC GRAVITY BASED ON CONTROL-POLLINATED GENETIC TESTS

Specific gravity is an important wood quality trait that affects both the quality and quantity of pulp and solid wood properties. To determine the heritability and age-age relationships for specific gravity, increment cores were collected at DBH (1.4 m) from four control-pollinated loblolly pine genetic tests that were at least 20 years old. These tests contained 93 families representing 23 different parents. Unextracted specific gravity was determined on core segments that included the first five years from the pith, rings six to 20 years and the total core. The estimates of general combining ability were significant for all age segments in each test; however, none of the estimates for specific combining ability were significant. Family heritability estimates for the first five years from the pith averaged 0.58 and ranged from 0.38 to 0.75 among the four genetic tests. For the six to 20-year core segments, family heritability estimates averaged 0.73 and ranged from 0.62 to 0.79. The coefficient of genetic prediction between the two age segments averaged 0.50. Selection at age five for specific gravity would be approximately 68 percent as efficient as direct selection to increase age six to 20-year specific gravity.
Proposals to Strengthen the Implementation of Quality Management in Higher Education

The implementation of total quality management (TQM) has been widely adopted by several organizations of different sectors, with the goal of obtaining a competitive advantage in relation to their rivals. Likewise, higher education has grown the interest in adopting this methodology with the purpose of attracting increasingly more students for their institutions. However, after a literature review, several obstacles were revealed when trying to implement TQM in this sector, since some of its important concepts do not adjust to the specific requirements of the education sector. This document presents, on the one hand, a comparison between the countries with most ISO 9001 certifications and a world ranking of the best universities, proving that there is no relation between quality certifications and performance of the universities. On the other hand, quality tools are analyzed, and it is decided which of them could be used to create proposals for implementing, in a better way, the TQM in educational institutions and obtaining a real impact in their performance. to institutions in areas related to Natural and Computational Sciences, and Engineering.
On the parametric curves for the design, performance optimization and characrirization of the LPDA antenna

This paper attempts to overcome the limitations of the parametric curves that characterize the performance of the Log Periodic Dipole Array Antenna (here after referred to as the LPDA). For instance, the parametric curves in design handbooks e.g. ARRL antenna handbook and other relevant literature e.g. Peixeiro do not contain those giving the relationship between the boom-length 'L' and the number of dipole element 'N' for any given bandwidth, even when it is known that these two parameters are the main cost determinants of a LPDA Antenna. The concept of convergence is introduced to aid cost optimization of the LPDA Antenna in terms of number of dipole element 'N'. Although 'N' is used as the minimization criterion, the criteria for establishing convergence encompass all the main electrical characteristics of the LPDA antenna, such as VSWR, gain and radiation patterns.
Genetic analysis for yield and yield contributing characters in Brinjal (Solanum melongena L.) over environments

Vegetables are rightly called as natural source of protective food as they supply vitamins and minerals along with roughages. Brinjal (Solanum melongena L.) a self-pollinated crop (2n = 24) and perennial in nature is grown commercially is a good source of dietary fiber, micronutrients and bioactive compounds. Indo-Burma region is considered as center of origin (Vavilov, 1928) which offers plant breeders an opportunity to utilize huge genetic diversity for heterosis breeding, present in our country. Hybrid vigour is manifested by single cross hybrids. Exploitation of heterosis on a commercial scale in vegetable crops has International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 08 (2018) Journal homepage: http://www.ijcmas. com
Geodesic mappings of (pseudo-) Riemannian manifolds preserve the class of differentiability

In this paper we prove that geodesic mappings of (pseudo-) Riemannian manifolds preserve the class of differentiability \hbox{$(C^r, r\geq1)$}. Also, if the Einstein space $V_n$ admits a non trivial geodesic mapping onto a \hbox{(pseudo-)} Riemannian manifold $\bar V_n\in C^1$, then $\bar V_n$ is an Einstein space. If a four-dimensional Einstein space with non constant curvature globally admits a geodesic mapping onto a (pseudo-) Riemannian manifold $\bar V_4\in C^1$, then the mapping is affine and, moreover, if the scalar curvature is non vanishing, then the mapping is homothetic, i.e. $\bar g={\rm const}\cdot g$.
Machine Learning Algorithms for Prediction of Blue-Chip Stocks

— Because of its unpredictable and non-linear character, accurate stock market prediction is a difficult and time-consuming undertaking for researchers. Several studies are based on previous data to determine the future worth of the stock market. However, external variables such as social media and news headlines now have a significant impact on the stock market. This study is based on predicting future stock prices using Twitter social media and news data, as well as historical data, to achieve high prediction outcomes. Machine learning techniques are employed in this article to forecast future stock values of five blue-chip corporations from various sectors. To construct the final dataset, the data was collected from many sources, including Twitter, news, and historical data, and then examined. Then, using the final dataset, we deployed three machine learning algorithms – SVM, Logistic regression, and Random forest – to forecast the model's accuracy and compared the algorithms to determine the best algorithm for stock market prediction. The results demonstrate that logistic regression earned the highest prediction accuracy for five blue-chip businesses, ranging from 85 percent to 89 percent, and a comparative analysis shows that logistic regression performed better than SVM and Random forest algorithms.
EXTENSIVE STUDY OF THE POSITIVE AND NEGATIVE PARITY WOBBLING STATES FOR AN ODD-MASS TRIAXIAL NUCLEUS I: ENERGY SPECTRUM

A new interpretation of the wobbling structure in Lu is developed. Four wobbling bands are experimentally known in this isotope, where three are wobbling phonon excitations TSD2,3,4, and the ground state band, which is TSD1. In this work, a particle-triaxial rotor coupling is considered in a product space of singleparticle and collective core states. The single-particle states describe a j= i13/2 proton, while the core states characterize the triaxial rotor and are either of positive parity, when the bands TSD1,2,3 are concerned or of negative parity for the TSD4 band. There are five free parameters, three moments of inertia, the strength of the particle-core interaction, and the γ deformation. A very good description of all 62 experimental states is obtained, with a mean square error of about 80 keV. The newly obtained features evidenced in the present work enrich the knowledge about the wobbling properties of Lu.
STRATEGIC DIRECTIONS FOR ENSURING FOOD SECURITY OF UKRAINE IN THE CONTEXT OF ECONOMIC INTEGRATION 4

A methodological approach to assessing the stability of the agri-food sector based on a system of production stability indicators, food shortages, effective demand and balanced diet has been justified in order to identify threats to food security related to the instability of agro-industry and market imbalance. The methodology for assessing the sustainability of the country’s agri-food market makes it possible to quantify the threats to food security associated with the instability of agricultural production and market balance and to substantiate the directions of stabilising the functioning of the agri-food markets in Ukraine. It has been defined that the key measures include an adaptation of the regulatory framework in accordance with the requirements of the WTO and the EU in the field of product quality and safety, consumer protection, mandatory audit of food industry enterprises for the compliance with safety and quality requirements, mandatory control of imported food products and import restrictions in accordance with sanitary and phytosanitary measures. It is supposed to use the mechanism of tariff quotas within the framework of bilateral trade agreements and also bans and restrictions on imports on the basis of sanitary and phytosanitary measures. The directions of strengthening the role of Ukraine in ensuring international food security are to increase quotas for food imports to the EU on the basis of amendments to existing trade agreements, expand foreign sales markets for Ukrainian exporters, stimulate exports and attract small and medium-sized agricultural enterprises to participate in exports.
Shintani lifting and Gelfand-Graev representations

A clipboard for detachable connection to the steering wheel of an automobile to provide a firm base for the preparation of field sketches and notes in a motor vehicle. The clipboard includes a circular base plate having adjustable spring clips secured thereto for snapping over a steering wheel. A circular board is secured to the base plate by means of an axial pivot pin to permit the board to rotate on the plate. A spring pressed clamp is provided on the edge of the board for securing papers to the board. An optional feature provides a protractor on the board for use of an engineer in making field sketches.
Apple cider vinegar: Effective adjuvant treatment for aerobic vaginitis

Aerobic vaginitis (AV) is a vaginal infection caused mainly by overgrowth of Escherichia coli and a reduction of Lactobacilli in the vagina. The infection is linked with adverse pregnancy outcomes, such as preterm birth. The current medical therapy for AV with antibiotics is associated with adverse effects and necessitates the use of alternative treatments. Apple cider vinegar (ACV) is a natural fermented product produced from apples and is reported to exhibit potent antibacterial activity. ACV also contains lactic acid bacteria, which can act as probiotics. Symptoms of AV can be improved by restoring the disturbed microbial imbalance rather than exposing the vagina to synthetic drugs. Hence, an attempt was made to investigate whether ACV could support growth of the beneficial bacteria and inhibit growth of the pathogenic bacteria such as E. coli in the vagina. In vitro evaluation of the anti-bacterial potential of ACV against E. coli showed a potent antibacterial activity, recording a zone of inhibition diameter of 32.9 ± 0.5 mm; however, no zone of inhibition was observed against Lactobacillus acidophilus . Turbidimetric analysis was used to ensure growth of the bacteria in a simulated vaginal fluid (SVF) by using a nephelometer as a Nephelometric Turbidity Unit (NTU). Both E. coli and L. acidophilus were grown individually in SVF containing ACV. The ACV expressed antibacterial efficacy against E. coli and favoured growth of L. acidophilus in the SVF. Conclusively, ACV can help in growth of the beneficial bacteria and restore the natural microbiota of the vagina, thus proving to be beneficial in the management of AV.
Reduced-Order Models for Computational-Fluid-Dynamics-Based Nonlinear Aeroelastic Problems

In this work, a nonlinear state-space-based identification method is proposed to describe compactly unsteady aerodynamic responses. Such a reduced-order model is trained on a series of signals that implicitly represent the relationship between the structural motion and the aerodynamic loads. The determination of the model parameters is obtained through a two-level training procedure where, in the first stage, the matrices associated to the linear part of the model are computed by a robust subspace projection technique, whereas the remaining nonlinear terms are determined by an output error-minimization procedure in the second stage. The present approach is tested on two different problems, proving the convergence toward the reference results obtained by a computational fluid dynamics solver in linear and nonlinear, aerodynamic, and aeroelastic applications, whereas the aerodynamic reduced-order models are coupled with the related structural mechanical systems, demonstrating the ability of capturing the ma.
MACHINE BUILDING МАШИНОБУДУВАННЯ DYNAMIC VIBRATION DAMPERS FOR CONSOLE INSTRUMENTS

Dynamic vibration dampers for console instruments. The maximum efficiency of dynamic vibration dampers (DD) is achieved at optimal values of their parameters. Inertial DD are tuned according to their own frequency and damping, and the optimal values of the absorber parameters depend on the spectral composition of the suppressed oscillations. For nonlinear DD, the optimal values of parameters (for example, gap or precompression) also depend on the intensity of external influences on the object. For multi-element DDs, the number of damper inertial elements should also be optimized. The conditions for optimal tuning of the inertial DD are the conditions of antiresonance. In this work, the tuning of an impact DD with viscous friction has been studied. To determine the optimal value of the gap between the mass of the absorber and its body, a nonlinear problem was solved by the method of point transformations. The influence of deviations from the optimal setting of the shock DD on the amplitude of oscillations is determined. It has been established that small deviations from the optimum cause significant increments in the oscillation range (by 2.5 times), which leads to the need to tune the shock DD with high accuracy. The sensitivity of the vibration damper to the optimization error of its parameters is estimated in the work. In addition, the tuning features of multi-element DDs built into the boring bar for eight types of absorbers were studied with varying their design features. When studying the frequency characteristics, the ratio of the maximum values A 0max / A Dmax was taken as a measure of efficiency, where A 0max is the oscillation amplitude in the system without a damper. The influence of the diametral clearance and the axial compression force on the efficiency of various types of DDs has been established.
Working Paper 192 A relational approach to the definition of social responsibility (the S of ESG). The example of Next Index AICCON

ESG frameworks have slowly become central in economic and policy choices. This is why it is of utmost importance to build a shared and accepted framework to define what we really mean by ESG overcoming the “minimalist” approach of the DNSH (Do Not Significantly Harm) and moving toward the full achievement of the more ambitious principle of the Substantial Contribution (SC), oriented to the maximization of the social and environmental impact of value creation. To move forward in this direction our work proposes a relational approach for the assessment of ESG factors focusing in particular on the social pillar. Our approach argues that in order to increase the value of the S it is necessary to assess in an impact perspective both the internal and external relationships of the firm improving at the same time the multidimensional well-being of the workers and the capacity to create sustainable development in the local community. The main factors on which the firms must operate to reach the goals mentioned above are connected to the domains of sense of community, empowerment, good practices of mutual aid and the degree of participation at an individual, team, organization, and territorial level that can trigger gift giving, reciprocity and trust overcoming standard social dilemmas and producing superadditive outcomes together with high social and environmental impact. Starting from these elements this work proposes a set of indicators and metrics, based on an original methodology to measure and assess the commitment of a firm in the process to increase the Social factor. This methodology is particularly suited for SMEs and start-up companies.
Enterprise and Entrepreneurial Management: A Case Study of Haier Group

With the emergence of Chinese economy, the significant performance of its companies and firms has been witnessed by a number of researchers and scholars. Yet few analyses have been conducted on the deep reasons behind their good jobs. Based on some of the entrepreneurial theories and the previous literary, this paper aims to have an investigation on the success of the internationalization of Haier Group, one of the Chinese leading businesses in the latest two decades. It attempts to explore the striking stages involved in Haier’s multinational strategies, i.e. idea generation, business planning, commercialization; as well as its external environment leading to the brand establishment worldwide and the specific entrepreneurship that needed.
FACULTY OF INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING

Deep learning has become one of the most important topics in Computer Science, and recently it proved to deliver outstanding performances in the field of Computer Vision, ranging from image classification and object detection to instance segmentation and panoptic segmentation. However, most of these results were obtained on large, publicly available datasets, that exhibit a low level of scene complexity. Less is known about applying deep neural networks to images acquired in industrial settings, where data is available in limited amounts. Moreover, comparing an image-based measurement boosted by deep learning to an established reference method can pave the way towards a shift in industrial