Miracle-dz/UniFAR-FTUs huggingface dataset:
‘Who wants to cover everything, covers nothing’: the organization of indigenous security forces in Indonesia, 1945–50

This article analyses the way in which the Dutch colonial authorities, notably the military, tried to organize their defence forces, state-owned and auxiliary, in the teeth of growing Indonesian resistance against re-instituted Dutch domination between 1945 and 1950. It will focus mainly on the indigenous Plantation Guard, a static defence force designed to protect the plantations that were considered vital to a successful Dutch return to Indonesia. Attempts to stifle the resistance came down heavily on the military side: the authorities, with the help of the planters' community in Indonesia, established one security force after another, dominated by the military. They ultimately created a security matrix they could not control as the parties concerned squabbled over who was to ‘own’ the security forces. In the end, the resulting disunity benefited the insurgents, leaving those Indonesians perceived to be collaborating with the Dutch unprotected and vulnerable.
Trends in Microwave/Millimeter-Wave Front-End Technology

Unique, high-performance components are utilized between the air or fiber-optic media interface and baseband/digital signal processing functions. TriQuint and other suppliers have developed power amplifiers, filters, duplexers, switches, phase shifters, and frequency conversion components specifically for this niche in systems ranging from RF-frequency cellular handsets to millimeter-wave frequency point-to-point radio transceivers. Examples of the use of specialized front-end technologies are: combining surface acoustic wave devices with GaAs switches and power amplifies in a handset modules, linear millimeter-wave power amplifiers for point-to-point radio links, millimeter wave switches using GaAs PIN diodes, and combining GaAs HBT, PHEMT, and VPIN technology in a 77-GHz Tx/Rx front-end for automotive radar. Finally, future GaN HEMT technology is showcased by discrete transistors setting new levels of power density.
An Attention-Based Photovoltaic Forecasting Scheme Combined with LSTM Model

With the development of new energy around the world, the proportion of photovoltaic energy used as a clean energy in the distribution network is gradually rising. The forecast of photovoltaic power plants is vital to many energy providers for their marketing analysis. Thus, photovoltaic forecasting has become an important research direction at present. However, owing to the high volatility and intermittent characteristics of photovoltaic power generation, it is still a challenge to predict photovoltaic power accurately. As far as traditional photovoltaic forecasting methods are concerned, SVM and ARIMA, as machine learning methods can solve the timing prediction problem of certain scenarios, but they are often not appropriate for some time series closely related to features. To address this problem, this paper proposes a short-term photovoltaic load forecasting model based on the Attention mechanism and LSTM model. Firstly, the correlation coefficient and LASSO regression are used for feature selection to filter out redundant features. Secondly, a long short-term memory network (LSTM) is used to make predictions to solve the problem of gradient disappearance during model training. Finally, the Attention mechanism is added to better capture feature weights and further improve the prediction accuracy of the training model. The proposed method can predict the change trend well. Comparative results confirm that the proposed method with feature selection can has better effect than ARIMA, SVM, and ELM.
Effect of switch resistance on the SC integrator settling time

Using general feedback theory, a model is developed for the switched-capacitor integrator. This model is then used to analyze the effects of sampling and feedback switch resistances on the integrator settling time. If the frequency corresponding to the sampling time constant is less than five times the frequency of the second pole of the amplifier, the integrator settling time will be degraded. The feedback switch resistance has little effect on the integrator settling time for switch resistances up to 50 k/spl Omega/.
ASSESSMENT OF HEALTH RISKSFROM CONSUMPTION OF FOOD CROPS FUMIGATED WITH METAL BASED PESTICIDES IN GWADAM, GOMBE

Intensive use of agrochemicals has led to build of heavy metals in the soil ecosystem and their transfer to edible parts of metals (Cd, Pb, Cr, Cu and Zn) concentrations in some twenty commonly used pesticides in northern Nigeria, and health risk associated from the consumption of food crops fumigated with these pesticides as content in pesticides, food crops and soils were analyzed after acid digestion using atomic absorption spectrometry. Traces of heavy metals (Cd, Pb, Cr, Cu and Zn) were detected in most of the pesticides with pesticides ranged from 0.33 mg/kg for Cd, Pb, Cr, Cu, and Zn respectively. The mean concentrations of Cd, Pb, and Cr in all the crops were above WHO, (2019) permissible limit. corresponding crops were below the permissible limits by UNEP, (2013) and NESREA, (2011). Bioaccumulation factor BAF showed high BAF>1 for Cu and Pb in all the studied crops, while pollution index value revealed contamination for Cd and Pb in all the studied crops. Hazard quotient showed potential health risk from the consumption of only Capsicumannuum for Pb. However, through the consumption of Oryza sa Capsicumfrustescens for all metals (Hazard index). Hence, there is the need for screening of heavy metals in pesticides and monitoring of metals contents in food crops.
Social media and information management for the process of social engagement in organizations

Introdução: As organizações estão usando cada vez mais as mídias sociais para promover a comunicação, seja interna ou externa. Assim, a gestão da informação é um fator essencial para o desenvolvimento e obtenção de vantagens competitivas. Objetivo: O uso das tecnologias de informação e comunicação da mídia oferece elementos importantes para o desenvolvimento organizacional. O objetivo do artigo é refletir a contribuição das tecnologias de mídia para o engajamento dos clientes nas organizações. Métodos: A metodologia consiste em uma revisão sistemática da literatura em bancos de dados internacionais. A pesquisa é qualitativa e descritiva. Resultados: Os dados demonstraram relevância no estudo do tema, contribuindo para o desenvolvimento e competitividade. Foi possível construir uma estrutura conceitual com as dimensões dos indicadores a partir da inter-relação da gestão da informação e das mídias sociais aplicáveis nas organizações. O modelo conceitual é um guia capaz de contribuir para a gestão e o engajamento das organizações que utilizam as tecnologias de mídia para o desenvolvimento da empresa. Conclusões: A revisão sistemática da literatura identificou autores de vários continentes que estudam o tema abordado. O uso das tecnologias de mídia requer que as organizações invistam na qualificação e treinamento de profissionais. O engajamento social da organização traz mais visibilidade e notoriedade dentro do escopo das mídias sociais.
Use of Twitter Technology in Educational Learning

This paper explores the use of Twitter technology in educational learning and teaching in education system. The objectives of this study emphasizes on the contributions of Twitter to personal and educational learning experience, and its adoption for professional development in 21 st century. Twitter technology was invented as a media outlet in 2006, to provide a unique kind of communication that allows only 140 numbers of characters. It is a technology that permits users to send and receive information on website, from mobile or computer-enabled internet. A Twitter requires a valid email address to sign up for an account and equally set up private profiles in line with the system command. Users share pictures, videos among other educational materials of what is happening in the world. Twitter is a social media platform that has drawn the attention of its users, especially the students and educators around the world. Secondary sources of data collection were adopted in the paper review. In spite of the short comings of Twitter technology, major findings revealed that the use of Twitter technology is becoming a common usage among students and professional development of educators across the world. Recommendations include the need for sustained campaign of the use of Twitter technology in institutions of learning across the world, especially in the developing countries, and the pedagogical adoption of Twitter for professional development of the future of education, as opposed to traditional method of teaching.
Aerodynamic Investigation of Double Surface Airfoil

Aircraft industry has been deeply concerned about reduction of drag by reducing flow separation and improving the aerodynamic efficiency of flight vehicles, particularly in commercial and military market by adopting various methods. Reduction of flow separation is a concept by which we can increase aerodynamic efficiency. The purpose of the project is to perform an experimental investigation on aerodynamic performance of NACA 0012 airfoil model with and without splits. It is evident from this research work that the airfoil model with split possesses greater aerodynamic performance by producing lesser overall drag. This is due to the delay in flow separation from the surface.
Trust as a Core value in public Institutions; Political Participations and Political Trust in GREECE and TURKEY

In this research, trust as a core value of two similar and ancient societies is examined. Trust in people and differences analyses results are given. A list of institutions in Greek and Turkish societies such as national parliament, legal system, press, police, government and the local (municipal) authorities are evaluated. This paper is a continuation of a previous paper titled: “Cross Cultural Dimensions of Cultural Capital: A Comparison between Greece and Turkey”1. According to the results of the research Greeks have less trust point (4, 28±2, 31) than Turkish participants (4, 88±2, 55). The difference between Greek and Turkish participants are statistically significant (p<0,05). All political institutions are considered as more trust worthy in Turkey. Turkish participants are willing to do more volunteer work for the political party or the trade union which they support. Greek people attend more protests, demonstrations or political events than Turkish people. Recently, Greece is facing a serious financial crisis. Due to the crisis, many Greek people protest against the government. For this reason, findings may be affected by the recent developments.
Value generation using open government data in the public sector: Development and validation of a multidimensional scale

: The use of open government data by governments can create opportunities and drive the digital transformation of the public sector. However, there is no integrative measure that assesses the factors that enable public organizations to effectively utilize open government data. The objective of this research was to develop and validate an instrument to assess the factors related to value generation from the use of open government data in the public sector. The construction of the scale was a three-step process. First, the items were structured. Next, a pilot study was performed. Lastly, the instrument was validated. The results indicate that the measure of value generation from the use of open government data is a multidimensional construct, which presents promising implications for future research. This study contributes by developing an instrument that can serve as an analysis tool that will aid public managers who are interested in utilizing open government data.
The optical gyro signal de-noising based on EMD

There are different kinds of noise in the optical gyro output signals. The signals imbedded noise are always non-stationary. Recent works have demonstrated that the noise can be separated from the original signal by the empirical mode decomposition (EMD). However, there are some shortages in the original algorithm of EMD, for example, the envelope mean computation and the time-consuming fitting. An improved EMD is introduced where quasi-mean filter and the extension segment approximation are proposed. The new EMD is used in ring laser gyro signal analysis and de-noising, and the Allan variance is used to evaluate the result.
TRANSLATION OF DRAVIDIAN SIGN LANGUAGE (TAMIL) TO EQUIVALENT TEXT USING CNN

: Communication between the Speech-impaired and normal people has always been difficult. It is a challenge to develop an appropriate technology to help these people communicate with others. Recognizing the sign language of deaf and dumb people is the only way that offers speech-impaired a proper platform to easily communicate with the normal people. According to Census 2011, out of 6.79 crore people 21,932 people are speech-impaired in Tamil Nadu who speak Tamil Language. It is a tedious process to make all the normal people learn the sign language, but whereas it is an optimal process for a machine to do this job. There are numerous applications developed for recognizing American Sign Language (ASL), but few efficient applications for recognizing Dravidian Sign Language. So, the goal is to develop a gesture recognition system for Dravidian Sign Language (Tamil) that efficiently translates the sign language into an equivalent Tamil text. This project bridges the communication gap between the speech-impaired and normal people with the help of Human-Computer Interaction (HCI) by using the CNN (Convolutional Neural Networks) technique.
(Genealogical and Genomic Characterization of the Betizu Bovine Breed)

LABURPENA: Ikerketa lan honen bidez, Euskal Herrikoa, bertakoa den eta galtzeko zorian dagoen Betizu izeneko behi-arraza erdi-basatia ezagupena handitu nahi izan da. AxiomTM Bovine Genotyping v3 genotipazio txiparekin abereen lagin adierazgarri baten azterketa genetikoa egin da. Azterketa horren helburua behi-taldearen barruan egon zitezkeen azpi-populazioak atzematea eta taldean dagoen odolkidetasun-maila aztertzea izan da. Galtzeko zorian dagoen arraza den arren, odolkidetasuna ez da espero zen bezain handia izan, %13,4-ko batez bestekoarekin. Gaur egungo Betizuen abere-azienda birpopulatu duten animalia talde nagusiekin bat egiten duten hiru azpi-populazio aurkitu diren. Ahaidetasuna zehazteko, erlazio genomikoen matrizea kalkulatu da, eta informazio molekularrak genealogikoki ezezagunak diren ahaideak argitzeko duen gaitasuna egiaztatu da. Azterketa horren emaitzek informazio garrantzitsua eman dute arraza kontserbatzeko programan erabakiak hartzeko; izan ere, depresio endogamikoa agertzea saihesten duten gurutzamenduak diseinatzeko aukera eman baitezake informazio genealogikoa ez dagoen egoera batean.
Comparative Phylogeography and Phylogeny of Pennah Croakers (Teleostei: Sciaenidae) in Southeast Asian Waters

A broad-scale comparative phylogeographic and phylogenetic study of pennah croakers, mainly Pennahia anea, P. macrocephalus, and P. ovata was conducted to elucidate the mechanisms that may have driven the diversification of marine organisms in Southeast Asian waters. A total of 316 individuals from the three species, and an additional eight and six individuals of P. argentata and P. pawak were employed in this study. Two genetically divergent lineages each of P. argentata and P. anea (lineages L1 and L2) were respectively detected from the analyses based on mitochondrial cytochrome b gene data. Historical biogeography analysis with a multi-gene dataset revealed that Pennahia species most likely originated in the South China Sea and expanded into the eastern Indian Ocean, East China Sea, and northwestern Pacific Ocean through three separate range expansions. The main diversifications of Pennahia species occurred during Miocene and Pliocene periods, and the occurrences of lineage divergences within P. anea and P. argentata were during the Pleistocene, likely as a consequence of cyclical glaciations. The population expansions that occurred after the sea level rise might be the reason for the population homogeneity observed in P. macrocephalus and most P. anea L2 South China Sea populations. The structure observed between the two populations of P. ovata, and the restricted distributions of P. anea lineage L1 and P. ovata in the eastern Indian Ocean, might have been hampered by the northward flowing ocean current at the Malacca Strait and by the distribution of coral reefs or rocky bottoms. While our results support S. Ekman’s center-of-origin hypothesis taking place in the South China Sea, the Malacca Strait serving as the center of overlap is a supplementary postulation for explaining the present-day high diversity of pennah croakers centered in these waters.
Influence of Financialization of Heavily Polluting Enterprises on Technological Innovation under the Background of Environmental Pollution Control

In the wake of the acceleration of China’s industrialization and rapid economic growth, environmental pollution has also attracted great attention. The technological innovation of heavily polluting enterprises is conducive to reducing pollution emissions and promoting environmental health. The financial investment tendency and behavior of real enterprises have a significant impact on the technological innovation decision-making of enterprises. A panel model is used in this paper in order to empirically test the impact of financialization of Chinese heavily polluting enterprises on technological innovation based on the data of Listed Companies in Chinese heavily polluting industries from 2008 to 2019. The + results show that the financialization of heavily polluting enterprises has a significant crowding out effect on technological innovation. After introducing arbitrage motivation as the regulating variable, further research finds that arbitrage motivation weakens the inhibitory effect of enterprise financialization on technological innovation, that is, the stronger the arbitrage motivation, the smaller the negative effect of financialization on enterprise technological innovation, which weakens this crowding out effect. Finally, the listed enterprises in heavily polluting industries are divided into state-owned enterprises and non-state-owned enterprises according to their corporate attributes. Compared with state-owned enterprises, the financialization of non-state-owned enterprises has a greater squeeze out of technological innovation; and arbitrage motivation has a more significant regulatory effect on the impact of enterprise financialization on technological innovation.
Antimalarial Drug Predictions Using Molecular Descriptors and Machine Learning against Plasmodium Falciparum

Malaria remains by far one of the most threatening and dangerous illnesses caused by the plasmodium falciparum parasite. Chloroquine (CQ) and first-line artemisinin-based combination treatment (ACT) have long been the drug of choice for the treatment and controlling of malaria; however, the emergence of CQ-resistant and artemisinin resistance parasites is now present in most areas where malaria is endemic. In this work, we developed five machine learning models to predict antimalarial bioactivities of a drug against plasmodium falciparum from the features (i.e., molecular descriptors values) obtained from PaDEL software from SMILES of compounds and compare the machine learning models by experiments with our collected data of 4794 instances. As a consequence, we found that three models amongst the five, namely artificial neural network (ANN), extreme gradient boost (XGB), and random forest (RF), outperform the others in terms of accuracy while observing that, using roughly a quarter of the promising descriptors picked by the feature selection algorithm, the five models achieved equivalent and comparable performance. Nevertheless, the contribution of all molecular descriptors in the models was investigated through the comparison of their rank values by the feature selection algorithm and found that the most potent and relevant descriptors which come from the ‘Autocorrelation’ module contributed more while the ‘Atom type electrotopological state’ contributed the least to the model.
Social preference and diet learning in goat kids at pasture.

Abstract Herbivores can be classified into either hiders or followers depending on their postpartum behaviour. The two behaviour types affect the spatial relationship between the mother and her infant. Goats are seen as hiders, although the environment plays a central role when it comes to the behaviour. Therefore, in the first part of this study the aim was to investigate how the goat kids’ spatial relationship changed in the transition from indoor housing to pasture. The aim was to compare the time spent with the mother while in the stable compared to the time spent with the mother while at pasture. The experimental herd consisted of six goats, seven female yearlings and eleven goat kids of the Swedish Domestic goat (Capra hircus). The observations were performed using a check sheet where the social interactions of the goat kids were noted. Our hypothesis was that the goat kid changes from hider at stable to follower at pasture, and thereby spending time together with its mother at pasture. The results showed a significant increase in the time spent with the mother at pasture then in the stable. A similar significant increase could be found in the time spent near other adult goats. The other part of this study was about diet learning. Goats learn what to eat through postingestive feedback; here the focus was on the social aspect of the learning process. Therefore the aim of the second part of this study was to find out if the mother’s feed choice influences the feed choice of the goat kid. Our hypothesis was that there is an influence from the mother. Thus the feed choice of 5 goats, 5 yearlings and 5 young kids at pasture were studied, to investigate if such an influence exists. The observations were performed using focal animals and a check sheet where the feed choices were noted. The result showed that there seemed to be a maternal influence on the feed choice of the goat kid. Conclusively the increased time spent with the mother while at pasture offers testimony to our hypothesis that the goat kid changes from hider to follower behaviour when at pasture. As for the feed choice study, the results support that the mothers feed choice influence the feed choice of the goat kid.