Miracle-dz/UniFAR-FTUs huggingface dataset:
Thermal, Mechanical and Reliability assessment of Hybrid bonded wafers, bonded at 2.5μm pitch

In this paper we address the thermal, mechanical and reliability performance of wafer-to-wafer hybrid bonded CMOS wafers manufactured using standard 65nm technology. Proprietary chip design includes different test structures which enable assessment of hybrid interconnect yield and mechanical induced stress as well as thermal measurements with high spatial resolution. Different tests are conducted to reproduce thermo-mechanical stresses similar to the ones induced in flip-chip assemblies. The study, supported by the finite element simulations includes hot-spot thermal analysis where thermal resistance of hybrid interface is evaluated and the heat spreading effect in both wafers is compared.
Implementation and Integration of Microbial Source Tracking in a River Watershed Monitoring Plan

Fecal pollution of water bodies poses a serious threat for public health and ecosystems. Microbial source tracking (MST) using host specific bacteria are used to track the source of this potential pollution and be able to perform a better management of the pollution at the source. In this study we tested 12 molecular MST markers to track human, ruminant, sheep, horse, pig and gull pollution to determine their usefulness in their application for an effective management of water quality. First, the potential of the selected markers to track the source was evaluated using fresh fecal samples. Subsequently, we evaluated their performance in a catchment with different impacts, considering land use and environmental conditions. All MST markers showed high sensitivity and specificity, although none achieved 100% for both. Although some of the MST markers were detected in hosts other than the intended ones, their abundance in the target group was always several orders of magnitude higher than in the non-target hosts, demonstrating their suitability to distinguish between sources of pollution. The MST analysis matched the land use in the watershed allowing a very accurate assessment of the main hazards and sources of pollution, in this case mainly human and ruminant pollution. Correlating environmental parameters like temperature and rainfall with the levels of the MST markers provided insight into the dynamics of the pollution along the catchment. The levels of the human associated marker showed a significant negative correlation with rainfall in human polluted areas suggesting a dilution of the pollution, whereas at agricultural areas the ruminant marker increased with rainfall. There were no seasonal differences in the levels of human marker, indicating human pollution as a constant pressure throughout the year, whereas the levels of the ruminant marker was influenced by the seasons, being more abundant in summer and autumn. Performing MST analysis integrated with land uses and environmental data can improve the management of fecal polluted areas and set up good practices.
Some articulatory reflexes observed in intervocalic consonantal sequences: Evidence from Korean place assimilation*

This paper examines kinematic characteristics of /pk/ clusters, as compared to /kk/ and /pp/ with varying vowel contexts and speech rate. The results of EMMA data from eight Seoul-Korean speakers indicate as follows. Firstly, comparing /pk/ to /pp/ sequences, lips closing movement was faster and spatially greater in the /a/-to-/a/ context while temporally longer in the /i/-to-/i/ context. It was smaller in spatial displacement and shorter in temporal duration in /pk/ sequences. Peak velocity did not vary. Secondly, comparing /pk/ with /pp/ and /kk/ controls, lip aperture was less constricted in the /a/-to-/a/ context than /i/-to-/i/, but the maximum contact between the upper and lower lips was invariant across different vocalic contexts within /pk/ sequences (/apka/=/ipki/). Categorical reduction of C1 in /pk/ sequences fell in with the low-vowel and fast-rate conditions with across-/within-speaker variability. Gradient reduction of C1 was observed in all C1C2 types, being more frequent in fast rate. Lastly, the jaw articulator was a stable indicator of rate effects. The implication of the current study is that gestural reduction occurs with categorical reduction and general spatiotemporal weakening in the assimilating contexts, while quantitative properties of gestures may be a reason for gradient reduction, not necessarily confined to place assimilation.
DEVELOPMENT OF A VISUAL PROGRAMMING ALGORITHM FOR BIM-MODELS USING A MODULE OF CONSTRUCTIONS USING A DYNAMO MODULE.

The Aydar-Arnasay Lakes System (AALS) is located in the middle of the Syrdarya River, to the south of the Chardara reservoir, and in Jizzakh and Navoi provinces of the Republic of Uzbekistan, adjacent to the low plain of South Mirzachul. The largest lake of the AALS, Aidarkul, extends 130 km to the southeast at the foot of the Nurata ridge and adjoins the Tuzkon lake. From 70 km south-west of the Chardara reservoir, is the AALS connected to the East Arnasai chain of lakes. The AALS varies with the volume, area, and surface water resources of the Syrdarya River through the Chardara reservoir over the years. Currently, the AALS has a significant impact on regional ecosystem and socio-economic conditions. Studying and evaluating the AALS hydrology, the volume, area, and variability of water levels altogether play an important role in the development of fisheries and ecotourism in the region. However, in the past studies, the dynamic changes in the volume, area and water levels of the AALS have not been investigated through up-to-the-date geo-information systems, requiring additional research. This paper examines the changes in water volume, area, and levels of the AALS throughout 1993–2017 by considering availability of statistical data and field experiments.
Modeling an Uncertain Productivity Learning Process Using an Interval Fuzzy Methodology

Existing methods for forecasting the productivity of a factory are subject to a major drawback—the lower and upper bounds of productivity are usually determined by a few extreme cases, which unacceptably widens the productivity range. To address this drawback, an interval fuzzy number (IFN)-based mixed binary quadratic programming (MBQP)–ordered weighted average (OWA) approach is proposed in this study for modeling an uncertain productivity learning process. In the proposed methodology, the productivity range is divided into the inner and outer sections, which correspond to the lower and upper membership functions of an IFN-based fuzzy productivity forecast, respectively. In this manner, all actual values are included in the outer section, whereas most of the values are included within the inner section to fulfill different managerial purposes. According to the percentages of outlier cases, a suitable forecasting strategy can be selected. To derive the values of parameters in the IFN-based fuzzy productivity learning model, an MBQP model is proposed and optimized. Subsequently, according to the selected forecasting strategy, the OWA method is applied to defuzzify a fuzzy productivity forecast. The proposed methodology has been applied to the real case of a dynamic random access memory factory to evaluate its effectiveness. The experimental results indicate that the proposed methodology was superior to several existing methods, especially in terms of mean absolute error, mean absolute percentage error, and root mean square error in evaluating the forecasting accuracy. The forecasting precision achieved using the proposed methodology was also satisfactory.
A systematic review of program circumstances in training social skills to adolescents with high-functioning autism

Despite many programs for educating social skills to adolescents with autism, insufficient attention has been paid to examine the optimal conditions and strategies that are important for improvement and generalization of the learned skills. So after reviewing and searching for three PubMed, Scopus, and ProQuest databases, 20 studies were finally analyzed and shared conditions were extracted. The results showed that the most important condition is parental involvement. The rehearsal and practice of social skills, attention to developmental trajectories, strengths and weaknesses of the individual and use of quantitative and qualitative tools are the other circumstances. In conclusion, taking into account these conditions for improvement, generalization and durability of the skills can be helpful.
Detection of Drowsiness from Facial Images in Real-Time Video Media using Nvidia Jetson Nano

Drowsiness affects people everyday life that leads to inefficient work or car accidents due to insomnia resulting damage to life and property. Especially, it can become worse when it happens to public transportation. As the author works in Department of Land Transport (DLT), drowsiness is a factor that causes car accident. Therefore, due to this concern, effective detection of drowsiness system is performed. The purpose of this paper is to develop Algorithm to analyze face structure from taking video media and detecting drowsiness. Also, the system is conducted to examine Algorithm’s efficiency. The result shows that using facial landmarks can help to generate eyes and mouth component effectively, which can help to create equations to analyze drowsiness correctly by using Nvidia Nano Jetson. Nvidia Jetson Nano is a tool that accurately evaluates image by tracking closing eye motions more than 35 FPS or 1.5 seconds, and yawning or opening mouth motion more than 50 FPS equals to 2 seconds. It indicates the possibility of sleepiness which notifies to drivers. Thus, it is suggested that government should support the system and take to Thailand policy in order to reduce car accident from insomnia.
Expanding Spaces for Adolescent Girls with Disabilities in Senior High Schools in Ghana

: This study examined the inclusion of girls with disabilities in Senior High Schools (SHSs) in Ghana. The sample size comprised of 300 girls from five SHSs in Ghana, five female teachers, three headmasters and two staff from the social welfare department in Ghana. The instruments used for data collection included questionnaires and interviews. The categories of data obtained were analysed using frequency counts, simple percentages and presented in bar charts and tables. The results showed that girls with disabilities were stigmatized as 50% of their peers indicated that they should be educated in special schools and not in the regular schools. The study also showed that existing government policies such as the Free Senior High School Policy, Inclusive Education Policy, Persons with Disability Act 2006, Act 715, the Persons with Disability share of the District Assembly Common Fund and Livelihood Empowerment Against Poverty did not provide dedicated funding for girls with disabilities in SHSs in Ghana. This made it difficult for them to procure assertive devices such as braille machines, screen readers, tricycles, wheel chair, hearing and speech aids and other relevant learning materials for their studies. The study recommended school based and community disability awareness campaigns and the establishment of a dedicated funding windows for girls with disabilities in SHSs in Ghana as ways of including them in SHSs in Ghana.
Economic Preferences in the Classroom – Research Documentation

In this paper, we document how we carried out a research that aimed at measuring the economic preferences of high school students. We describe the preferences that we study and what experimental games we used to investigate them. Then we report how we carried out the experiments in the schools. We provide detailed descriptive statistics on the preferences in aggregate and also school by school. Last, we validate our measurement by comparing the measured preferences to those in the literature.
Folk-Based Farm Waste with Akar Wangi (Vetiveria zizanioides (L.) Nash) Beautiful to look at and Inhale Fragrance from Garut West Java

The Fragrant root is a plant that can produce fragrant root oil through the distillation process. Indonesia is one of the largest producers of fragrant root oil in the world, the center of producing fragrant root oil in Indonesia is in Garut Regency. From the results of the study, in addition to producing pure oil, fragrant root waste can also be processed into handicrafts of secondary needs such as bags and souvenirs by weaving
Complete mitochondrial genome sequence of Empoascanara dwalata (Hemiptera: Cicadellidae: Typhlocybinae)

Abstract In this study, the complete mitochondrial genome of the leafhopper species Empoascanara dwalata (Hemiptera: Cicadellidae: Typhlocybinae) was sequenced and annotated, and the sequence is available in the GenBank with accession number: MT350235. The circular mitogenome with 15,271 bp in length, including 13 protein-coding genes (PCGs), 22 tRNA genes, two rRNA genes, and one AT-rich region. The nucleotide composition is as follows: A (41.7%), T (34.7%), G (10.6%), and C (13.0%). 11 PCGs have ATN as the start codon, except for atp8 and nad5 genes have TTG. The conventional termination codons (TAA or TAG) occur in 11 PCGs, while cox2 and nad5 use incomplete codon (T––) as termination codon. Phylogenetic analysis using 13 PCGs showed that E. dwalata was clustered with three other Typhlocybine species, which was consistent with the conventional classification.
A REVIEW ON DISEASE PREDICTION SYSTEM

— Medicinal services though providing everything a person needs in sickness still lack knowledge. There is an abundance of realities accessible inside the social insurance structures. Be that as it may, there is a nonappearance of incredible evaluation devices to find concealed connections in insights. This framework plans to make GUI based Interface to enter the patients symptoms which infirmity the influenced individual is having to utilize different machine learning algorithms. The forecast is practiced from mining the influenced individual's indication realities or records vault. This paper has investigated forecast structures for the illness the utilization of a greater amount of info properties. The framework utilizes clinical expressions comprising of fever, torment, cholesterol-like credits to expect the likelihood of an influenced character getting a selected sickness. As of not long ago, over a hundred traits are utilized for the forecast. The data mining methods, specifically Decision Trees, Naive Bayes, and Random Forest are broke down on the sickness database. In light of the exactness, the exhibition of these strategies is looked at.
What Prompt You to Submit Your Resume? An Empirical Study

The rapid development of the internet has greatly enriched the methods of company recruitment and improved the efficiency of company recruitment. From the perspective of the third-party online recruitment website, we apply conceptual framework of information quality to explore the factors that influence job-seekers' resume delivery from two aspects: company information and job information. The data for research is obtained through58.com. The results of the study indicate that job-seekers’ intentional behavior will be influenced by company (e.g., scale, feedback, day, etc.) and job (e.g. number of recruitments, experience requirements) information in the process of online recruitment. The research results of this paper can not only enrich the application of concept of information quality in online recruitment, but also help improve third-party recruitment websites and optimize the recruitment strategies of a company.
A Variational Bayesian Approach to Direction Finding of Correlated Targets Using Coprime Array

In this paper, we develop a sparsity-aware algorithm for direction-of-arrival (DOA) estimation of correlated targets in the context of coprime array processing. The idea is to iteratively interpolate the observed data to a virtual nonuniform linear array (NLA) in order to raise the degrees of freedom (DOF). We derive the estimation procedures using variational inference for fully Bayesian estimation, where the current parameter estimates are used to interpolate the observed data better and thus increase the likelihood of the next parameter estimates. The novelties of our method lies in its capacity of detecting more correlated sources than the number of physical sensors. Simulated data from coprime arrays are used to illustrate the superior performance of the proposed approach as compared with other state-of-the-art compressed sensing reconstruction algorithms.
Establishing a workflow for exploring the diversity and environmental distribution of Chlamydiae

Die Fortschritte auf dem Gebiet der Hochdurchsatzsequenzierung, ermoglichten es Forschern, uber die letzten Jahre Mikroorganismen in der Umwelt intensiv zu untersuchen. Dadurch wurde das Verstandnis von der Zusammensetzung und Dynamik von mikrobiellen Lebensgemeinschaften substanziell verandert. Trotzdem gibt es nach wie vor Gruppen von Mikroorganismen, die sich nicht in Laborkulturen uberfuhren lassen oder in extrem geringer Abundanz in der Umwelt vorkommen und daher weitgehend unerforscht sind. Chlamydien sind eine dieser Gruppen. Abgesehen von den humanpathogenen Arten, die schon sehr fruh intensiv studiert wurden, ist ein Grosteil der Chlamydien bis heute nur sparlich charakterisiert oder gar unbekannt. Doch sind gerade diese Arten von besonderer Bedeutung, nicht nur aufgrund ihrer potentiell hohen Diversitat, weiten Verbreitung und Fahigkeit diverse Tiere und Protisten zu infizieren, sondern vor allem da einige Arten unter Verdacht stehen, zu Humanpathogenen zu evolvieren. Im Rahmen der aktuellen Studie wurde aus diesem Grund ein Workflow entwickelt, welcher es unter Verwendung von 16S rDNA Amplikon Sequenzierung ermoglicht, die Verbreitung, Diversitat und Populationsstruktur dieser Arten zu erforschen. Durch die Anwendung des Workflows auf verschiedene Umweltproben konnte nachgewiesen werden, dass Chlamydien eine enorme Diversitat umfassen und ihre Gemeinschaften eine zeitliche Dynamik aufweisen. Um einen tieferen Einblick in die Evolution und die Anpassungsmechanismen von Chlamydien zu erhalten, wurde ein zusatzlicher Workflow etabliert. Dieser ermoglicht, durch die Kombination von Kultivierung, HMW DNA Isolierung und Genomsequenzierung, Diversitat in den Genomen von Chlamydien aufzudecken. In der Studie wurde der Workflow auf Rhabdochlamydia porcellionis, eine Art die Porcellio scaber (Crustacean) infiziert, angewandt. Dieser kann jedoch auch an andere Chlamydien-Wirtssysteme angepasst werden. Wie in der Studie gezeigt wurde, konnen die vorgestellten Workflows zukunftig substanziell zum besseren Verstandnis der Verbreitung und Evolution von Chlamydien beitragen und somit zur gesamtheitlichen Erfassung und Analyse von mikrobiellen Lebensgemeinschafen.
A Unique Secure Multimodal Biometrics-Based User Authenticated Key Exchange Protocol for generic HIoT Networks

The Special sort of generic IoT network namely Hierarchical IoT Network (HIoTN) is one in which a client can legitimately get to the continuous information from the sensing nodes in a protected generic IoT networking environment especially for particular application. This innovation serves a platform for a new protected lightweight unimodel biometric-factor remote client verification system for HIoTNs in prior, called the Client Validated Biometric Key Administration Convention (UABKMP). These unimodal biometric systems possess various limitations such as Noisy data, Non-universality, Spoof attacks etc., which may greatly affect the overall security of the user. In this work, a new multimodal biometrics based temporal credential-based lightweight user authentication system is intended to manage this significant issue in the HIoTN setting, would be called the Secure Multimodal Biometrics-based User Authenticated Key Exchange Protocol (SMBUAKEP). In addition, fuzzy commitment methodology is greatly utilized in this research for the purpose of multimodal biometric veri ﬁcation. In this research, three approaches namely Real -Or- Random (ROR) is utilized for detailed security analysis using formal security, Automated Validation of Internet Security Protocols and Applications (AVISPA) tool for formal security verification and SMBUAKEP for informal security analysis which has the ability to avoid multiple known attacks. An exhaustive similar examination for SMBUAKEP and some other pertinent frameworks has been accomplished, and the exploration shows that SMBUAKEP offers better security and functionality features and diminished expenses in both processing and correspondence communication comparative with existing frameworks, for example, UABKMP and UAKMP
Direction of Arrival Estimation of Non-circular Signals using Modified Nested Array

In this paper, we investigate the issue of direction of arrival (DOA) estimation of non-circular (NC) signals, and propose a modified nested array with enhanced degrees of freedom (DOFs) and a vectorized NC propagator method (VNCPM) algorithm which can utilize the difference-sum co-array to perform DOA estimation. Specifically, we modify the conventional nested array by switching the positions of the two subarrays aiming to obtain a difference-sum co-array with higher DOFs. In order to fully exploit the provided DOFs and obtain higher estimation accuracy, we utilize the NC characteristic to generate the equivalent received signal of the difference-sum co-array and exploit the quasi-stationary property of the signal to avoid the spatial smoothing technique which leads to the DOF degradation. The modified PM based on the rotational invariance is then employed to obtain DOA estimates, where NC phases can be eliminated. Simulations are provided to evaluate the superiority of the proposed configuration and DOA estimation algorithm.
A first step to evaluate the impact of ecotourism on biodiversity in El Salvador: a case study using dung beetles in a National Park

ABSTRACT Ecotourism involves visiting natural areas without adversely affecting biodiversity, an objective that is often not reached. Although ecotourism in El Salvador is currently under-developed, it has been proposed for the conservation of forests that remain within the territory. To this respect, National Park El Imposible is the largest natural protected area in the nation, with 23% of its extension designated for ecotourism. The objective of this study was to evaluate the impact of ecological disturbances produced by ecotourism, using dung beetles as biological indicators in the park. Three zones differing in tourism intensity: conservation, extensive, and intensive, were evaluated. Six samplings using pitfall traps were carried out from June–November, 2013 in each zone. We recorded a significantly lower beetle abundance in the intensive-use zone, even though biomass tended to increase with ecotourism intensity due to proportional increase in large-sized species. There were differences in composition, diversity, and evenness of the dung beetle assemblage, evidencing ecological disturbances in the intensive-use zone. Ecotourism in the park has caused a negative impact on the dung beetle assemblage structure due to the loss of habitat specialists in favor of widespread generalists. Consequently, ecotourism should be regulated to minimize its effects in the site.