Miracle-dz/UniFAR-FTUs huggingface dataset:
Tracking Seed Coat Fragments in Cotton Ginning

Seed coat fragments (SCF) in lint cause problems in textile mills during spinning and dyeing, so it is important to prevent or remove them during ginning. The objective of this experiment was to quantify SCF as they were formed and removed during ginning so that future studies can focus on preventing SCF formation. Samples of cotton, seed, and trash were collected throughout a gin to analyze SCF, motes, seed meats, and seed. The lint cleaner did not change the number of SCF in lint, but it reduced the weight of SCF by 56% as it removed larger SCF or broke them into smaller SCF. Seed meats in the ginned seed and small seed missing after the gin stand were estimated to be 0.8% and 2.3%, respectively, of all seed ginned, accounting for 32% and 15% of SCF formed in the gin stand, so a significant portion of SCF was attributed to seed damage not revealed by simply observing damaged seed in the seed roll. Damaged seed observed in the seed roll was 7% higher than in seed cotton, and these were thought to be a major source of SCF found in lint. The SCF mass entering the gin stand was 24% of the SCF mass exiting the gin stand, so a small but significant portion of SCF were formed before the gin stand. Seed meats found in the seed cotton cleaner waste were estimated to account for 22% of SCF found entering the gin stand. Seed damage occurred in the field, in seed cotton cleaners, and in the gin stand, so there are opportunities at each of these steps to prevent SCF in lint.
HUBUNGAN PROFESIONALISME, IKLIM SEKOLAH, DAN INTEGRITAS DENGAN KINERJA GURU SMP NEGERI DI KOTA ADMINISTRASI JAKARTA TIMUR (2015)

The study aims to analyze the relationship between professionalism, schoolclimate, teacher performance and integrity of the Junior High School in East Jakarta. The survey was conducted in this study with a sample of 100 teachers with simple random sampling technique. Data were analyzed using correlational technique. The research findings are as follows. (1) There is a relationship between the professionalism and the performance. In other words, the higher the professionalism of teachers will be better performance. (2) There is a relationship between school climate and the performance. In other words, the higher the school climate will be better teacher performance. (3) There is a relationship between the integrity and the performance. In other words, the higher the integrity of the teacher so the higher the performance. (4) There is a relationship between professionalism, school climate, and integrity together with the performance. In other words, the higher the professionalism of teachers, school climate, and integrity of teachers together so the higher the performance.
KICKING THE BACK PLATE OF THE STARTING BLOCK IMPROVES START PHASE PERFORMANCE IN COMPETITIVE SWIMMING

Kinematic characteristics and performance were evaluated during the start phase using two start techniques (kick start and track start) in 11 male elite collegiate swimmers. Trials were recorded using three synchronized video cameras shooting at 60 fps. Twodimensional video analysis was performed in the sagittal plane. Paired t-test was used to compare variables between the two techniques. The block time (kick start 0.70 ±0.04 s, track start 0.74 ±0.04 s, p <0.01) and 15-m time (kick start 6.78 ±0.33 s, track start 6.92 ±0.34 s, p <0.01) for the kick start were significantly shorter than those for the track start. The horizontal velocity (kick start 4.41 ±0.18 m/s, track start 4.29 ±0.12 m/s, p <0.05) and speed (kick start 4.58 ±0.26 m/s, track start 4.48 ±0.18 m/s, p <0.05) at takeoff for the kick start were greater than those for the track start.
Defining a Standard Measure for Whole System EROI Combining Economic “Top-Down” and LCA “Bottom-Up” Accounting

Business investments rely on creating a whole system of different parts, technologies, field and business operations, management, land, financing and commerce using a network of other services. Using the example of a wind farm development, a typical life cycle assessment (LCA) focuses upon the primary technology inputs and their countable embodied direct impacts. What LCA omits are the direct and indirect impacts of the rest of the business system that operates the primary technology, the labor, commerce and other technology employed. A total environmental assessment (TEA) would include the physical costs to the environment of the labor, commerce and other technology too. Here a simplified “system energy assessment” (SEA) is used to combine a “top-down” method of measuring implied indirect business impacts using econometric methods, with a “bottom-up” method of adding up the identifiable direct impact parts. The top-down technique gives an inclusive but rough measure. The bottom-up technique gives a precise accounting for the directly identifiable individual parts that is highly incomplete. SEA allows these two kinds of measures to be combined for a significantly improved understanding of the whole business system and its impacts, combining the high and low precision measures indentified by each method. The key is exhaustively accounting for energy uses within the natural boundary of a whole business system as a way of calibrating the measure. That allows defining a standardized measure of complex distributed system energy flows and their energy returns on invested energy resources (EROI). The method is demonstrated for a generic business operation. Starting from the easily accountable inputs and outputs, SEA successively uses larger natural system boundaries to discover a way of finding the limiting value of EROI after all parts of the whole are included. Some business choices and a net present value model of cash flow for the 20 year project help illustrate the related financial issues. The business model used shows that the EROI of a generic “Texas Wind Farm” is 31 when accounting for direct and indirect fuels only, but decreases to 4–6 after accounting for the economic energy consumed by all necessary business units and services.Copyright © 2010 by ASME
Osr40g3 imparts salt tolerance by regulating GF14e-mediated gibberellin metabolism to activate EG45 in rice

Under changing environmental conditions, salt stress has posed a severe threat to agriculture. Although the R40 family lectins are known to be associated with osmotic stress response, their mechanism of action remains elusive. Among them, Osr40g3 displays the highest expression under salt stress. Here, we report that the constitutive overexpression of Osr40g3 imparts salt tolerance but displays pollen sterility and poor seed development in rice. Promoter analysis and gene expression studies revealed that the gene follows a precise tissue-specific expression pattern, which is essential for proper seed development. Overexpressing the gene under the control of its native promoter rescued the pollen-sterile phenotype while significantly improving salt tolerance. Protein-protein interaction studies demonstrated that Osr40g3 positively regulates an expansin protein, OsEG45, while decreasing the stability of a 14-3-3 protein, OsGF14e. Correspondingly, the OsEG45 overexpression and OsGF14e silencing lines display a salt-tolerant phenotype. Again, silencing OsEG45 in the background of OsGF14e silencing lines resulted in a salt-sensitive phenotype, indicating that salt tolerance of the OsGF14e silencing lines is OsEG45-dependent. Notably, the OsGF14e gene displays early salt responsiveness, while Osr40g3 and OsEG45 display a late response, indicating a spatio-temporal regulation of these genes. Interestingly, constitutive overexpression of Osr40g3 or silencing of OsGF14e leads to diminished gibberellic acid (GA) accumulation that activates the OsEG45 gene. Together, our study demonstrates that during salt stress, Osr40g3, a late salt-responsive gene, confers salt tolerance by negatively regulating OsGF14e while positively regulating OsEG45 via a GA-mediated pathway. This mechanistic insight broadens our understanding of lectin-mediated regulation of salt tolerance.
Kinetic modelling of fuel droplet heating and evaporation: calculations and approximations

Simple approximate formulae describing temporal evolution of diesel fuel droplet radii and temperatures predicted by the kinetic model are suggested. These formulae are valid in the range of gas temperatures relevant to diesel engine-like conditions and fixed values of initial droplet radii, or in the range of initial droplet radii relevant to diesel engine-like conditions and fixed values of gas temperature. During the time period before the hydrodynamic model predicts complete droplet evaporation, these approximations are based on the calculation of the correction to the prediction of the hydrodynamic model. At longer times, the approximations at the earlier times are extrapolated up until the total evaporation of the droplet, using quadratic fittings. The new approximations are shown to be reasonably accurate for predicting the temporal evolution of droplet radii and droplet evaporation times. The predictions of droplet temperature turned out to be less accurate than those of droplet radii, but this accuracy is believed to be sufficient for many practical applications.
Effect of IoT on Marketing Intelligence and Business Strategy: An Organizational Capability Perspective

Innovative developments in the Internet of Things (IoT) have invoked tremendous attention from both academics and industries. Studies suggest that IoT not only serves as an innovative tool for enterprise operations but also triggers impacts on business performance. As researchers increasingly raise issues about the business value of IoT, this study examines its direct and indirect managerial effects by investigating the link between IoT and business strategy. From the organizational capability perspective, this study constructed a research framework in which marketing intelligence capability mediates the effect of IoT capability on business strategy formation. This research performed an empirical survey and analyzed the data to test the hypotheses in the research framework. The results confirmed the partial mediating effect of marketing intelligence capability in the link between IoT capability and business strategy formation. The paper then discussed the test results and elaborated on the managerial implications.
Attention Models for Image and Video Caption Generation

Adaptive target detection and sequential eye movement were originally introduced by Schmidhuber and Huber ((1991)) through the study of adaptive vision with neural networks, by using an adaptive control mechanism for sequential movements for target detection. Schmidhuber and Huber ((1991)) originally introduced a system for target detection inspired by the observation that biological systems employ sequential fovea movements for target detection. Schmidhuber and Huber ((1991)) introduced the system for active perception, where the system can learn to produce sequential fovea movements to decide where to perceive next.
Investment Decision Behavior in Bursa Malaysia

The global search for shariah-compliant investment as alternatives to Western style markets spurred by the turmoil in Asian financial markets in 1997. This has brought the new Islamic screens or Indices into being in most parts of the world along with Islamic fund managers which are mushrooming to cater for the ever increasing needs of the new type of investors who are governed by Islamic ethics. In the Islamic perspective, speculations are prohibited while short-selling and margin trading are severely restricted, something unheard of in conventional western market. Based on that notion, it would be interesting to know whether the Islamic investors who participate alongside other investors in the stock markets, behave differently in their investment decisions. Hence, this study, investigates on whether Islamic investors in the Bursa Malaysia place shariah-compliant status of a firm as main criteria of their investment decisions. The results showed clear indication that Islamic institutional investors still favor shariahcompliant firms over shariah non-compliant firms, meaning that firms losing shariahcompliant status would lose Islamic investors as well. An implication for firms and fund managers is that, understanding the Islamic investors’ investment decisions is important should they consider attracting Islamic investors in their firms or funds.
Complementarities in Infrastructure: Evidence from Rural India

Complementarities between infrastructure projects have been understudied. Our paper examines interactions in the impacts of large-scale road construction, electrification, and mobile phone coverage programs in rural India. We find strong evidence of complementary impacts between roads and electricity on agricultural production: dry season cropping increases significantly when villages receive both, but not when they receive one without the other. These complementarities are associated with a shift of cropping patterns towards market crops and with improved economic conditions. In contrast, we find no consistent evidence of complementarities for the mobile coverage program. 1This project has benefited from support by EUR grant ANR-17-EURE-0001, the International Growth Center, and CEPREMAP. Jamie-Hansen Lewis and Nitin Bharti provided excellent research assistance for this project. 2Paris School of Economics, CNRS. Email: o.vandeneynde@psemail.eu. 3Paris School of Economics, INRAE. Email: liamwrenlewis@gmail.com
TEACHERS’ MOTIVATIONAL CLIMATE AND TARGET STRATEGIES INTERVENTION EFFECT ON SECONDARY SCHOOL PHYSICAL EDUCATION CLASSES

Previous studies have shown that the motivational climate articulated by the in the Physical Education (PE) teacher present a favorable impact on the levels of student participation physical activities. This study aimed to assess the effects, of Epstein’s TARGET strategies on PE classes given by teachers who had previously taught in motivational climates. 323 Students participated aged between 12 and 17. A pretest-posttest comparison group and repeated measures design was used. In the control group there were reduced levels of satisfaction of basic psychological needs, lower indexes of self-determined motivation, fair play, intention to do sport, and time spent on physical activities. For its part, TARGET strategies intervention showed a positive impact on the perception of autonomy, competence, social relations, as well as on the levels of self-determined motivation and participation on sports activities. These results are encouraging, because they provide a means to modify teacher attitudes still rooted in the historical tradition of aiming for high performance in their Physical Education classes.
SCIENTIFIC TECHNICAL UNION OF MECHANICAL ENGINEERING BULGARIAN ASSOCIATION OF MECHANIZATION IN AGRICULTURE

The possibilities of designing complex geoinformation model of land use that can provide systematization and accumulation of spatial and attributive data have been shown in the research. As a result of the research, models were developed, which allow make spatial and temporal analysis for solve the problem of optimizing the rational use and protection of land.
Relational Reinforcement Learning for Lifelong Multi-Agent Path Planning

—Multi-agent path ﬁnding (MAPF) can be used to streamline pickup and delivery tasks in warehouses through optimal planning of agents. The concept of MAPF in a two dimensional grid-world has been tackled for agents working to collectively reach desired positions as fast as possible and has had promising research. Fully decentralized planners trained using reinforcement learning have seen considerable success in recent years through two implementations, PRIMAL and MAPPER. One unaddressed issue present in these algorithms is difﬁculty in scalability and generalization. This work presents the implementation of relational reinforcement learning on top of previously successful algorithms to add ability to generalize learning to similar grid-like environments.
Geographical proximity and the role of the quality of academic research to the university-industry linkages

th 2013) Abstract This study examines how the geographical proximity of university-industry linkages relates to the quality of an institution's research, local efforts in research and development (R&D), and characteristics of a region's production structure. The important role of universities for the firms' innovative efforts has been widely accepted in the literature. In particular, universities serve as a source of new scientific and technological knowledge. Geographical proximity can facilitate an interactive learning process between universities and industry by allowing for frequent interaction and face-to-face contact, which speeds the transmission of local knowledge spillovers. However, it is also necessary to analyse the quality of the university's academic research because state-of-the-art scientific and technological expertise is required for the development of advanced industry innovations. This level of expertise is more commonly found at top-tier universities. To examine this point, the Directory of Research Groups from the Lattes database of the Brazilian Ministry of Science and Technology was used. The Lattes database collects and compiles information on the activities of research groups in Brazil and their interactions with firms. By using these data, it was possible to identify factors that influence geographical distance in university-industry linkages, including the quality of academic research, local research efforts, and the characteristics of the local production structure. This study aims to contribute to the debate on the role of geographical proximity in university-industry interactions by providing an analysis of the issue in Brazil. Furthermore, the empirical model developed for this analysis introduces control variables that will help to identify the role of geographical proximity. The findings from this study show a positive correlation between the quality of research groups and the mean distance of interactions with firms. Top-tier research groups interact with both local firms (due to the convenience of being co-located) and more distant producers in need of cutting-edge research and expertise to support advanced innovation. Thus, it is evident that the costs of establishing long-distance university-industry relationships are overcome by the benefits offered by interacting with high capability research groups to solve complex and highly specific problems.
Predicting Driver Stress Levels with a Sensor-Equipped Steering Wheel and a Quality-Aware Heart Rate Measurement Algorithm

Unobtrusive monitoring of driver mental states has been regarded as an important element in improving the safety of existing transportation systems. While many solutions exist relying on camera-based systems for e.g., drowsiness detection, these can be sensitive to varying lighting conditions and to driver facial accessories, such as eye/sunglasses. In this work, we evaluate the use of physiological signals derived from sensors embedded directly into the steering wheel. In particular, we are interested in monitoring driver stress levels. To achieve this goal, we first propose a modulation spectral signal representation to reliably extract electrocardiogram (ECG) signals from the steering wheel sensors, thus allowing for heart rate and heart rate variability features to be computed. When input to a simple logistic regression classifier, we show that up to 72% accuracy can be achieved when discriminating between stressful and non-stressful driving conditions. In particular, the proposed modulation spectral signal representation allows for direct quality assessment of the obtained heart rate information, thus can provide additional intelligence to autonomous driver monitoring systems.
The Role of Education and Income Inequality on Environmental Quality. A Panel Data Analysis of the EKC Hypothesis on OECD Countries

Summary We study the impact of human capital and the level of education on the pollution-income relationship controlling for income inequality in 17 OECD countries. By applying an innovative approach to country grouping, based on the temporal evolution of income inequality and clustering techniques to feature the annual value of the Gini Index on disposable income from 1987 to 2015, we have estimated panel data models by distinguishing between low and high levels of income inequality country clusters. Robustness checks and endogeneity tests are further performed considering as the discriminant factor the income inequality affecting the countries in the sample. The findings highlight the role of the educational level and years of schooling in validating the EKC hypothesis. We recommend that this variable should not be neglected in future EKC studies. Therefore, any EKC theory should also acknowledge a new EKC model specification that we named the Educational EKC.
Comparison of predicted and measured lead stiffnesses of surface mounted packages

A comparison was made of predicted and measured values of lead stiffness for selected surface-mounted packages. Excellent agreement was found in all cases: 68- and 44-lead plastic leaded chip carriers (PLCCs) and cerquads (pressed ceramic quad flat pack); and 100-lead plastic quad flat packs (PQFPs). Predictions were based on the 3D elastic beam finite-element option of ANSYS, with lead geometries taken from design drawings and lead elastic properties from material specifications. Measured values were taken from straddle board test data. In these tests, the board is straddled on both sides by packages surface mounted by only their lateral or transverse leads so that lateral and transverse bending effects can be measured independently. The results point out the importance of low stiffness lead design in minimizing solder-joint deformation. <<ETX>>
Avocado Branch Canker Disease Caused by Lasiodiplodia theobromae and Lasiodiplodia pseudotheobromae in Taiwan

酪梨枝條潰瘍病於國外許多酪梨栽培國家均曾報導，主要由多種葡萄座腔菌科（Botryosphaeriaceae）之真菌感染引起。 本病亦廣泛發生於台灣主要酪梨栽培地區，然病原菌至今尚不明確。 本研究自台灣各地共7個酪梨園具潰瘍病病徵之枝條組織進行病原菌分離，共收集到13個菌株，透過型態鑑定及核糖體內轉錄區間（internal transcribed spacer; ITS）和轉譯延長因子1-α（translation elongation factor 1-α gene; TEF-1α）之序列進行類緣分析，結果顯示此些菌株均屬於Lasiodiplodia theobromae或Lasiodiplodia pseudotheobromae。 此兩菌株之菌絲最適生長溫度均為約30℃；對酪梨枝條及果實均具病原性，可於枝條接種處造成白色粉末分泌及內部組織褐化，於果實上亦會造成黑色軟腐病斑。 本研究為首篇描述台灣酪梨枝條潰瘍病及其相關病原菌之報告，研究結果顯示台灣之病原菌種類與大部分國外酪梨栽培地區造成酪梨枝條潰瘍病之主要病原菌不同。 本研究將可提供未來進行酪梨枝條潰瘍病之流行病學，以及建立其有效之病害管理策略研究時之重要參考資訊。
A simple model applied to the analysis of E-plane and H-plane mutual coupling between microstrip antennas

The study of mutual coupling between microstrip patches is useful to design arrays of this kind of antennas, where the spacing between elements are less than a wavelength. Coupling between a patch and its neighbours must be computed to find the impedance matrix relating currents and voltages in the array. Microstrip patches are represented by magnetic current lines using the cavity model (CM). The theoretical model presented is useful to predict the coupling levels between microstrip antennas, and it has been developed for two basic configurations (E-plane and H-plane). The method shows enough accuracy when the substrate height is small in terms of wavelengths, as required by CM. The required computing time is very little in comparison with other methods (full-wave models, extended CM, reaction principle with exact Green's functions), methods that don't ensure total accuracy.