Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Background Long sequencing reads are information-rich: aiding de novo assembly and reference mapping, and consequently have great potential for the study of microbial communities. However, the best approaches for analysis of long-read metagenomic data are unknown. Additionally, rigorous evaluation of bioinformatics tools is hindered by a lack of long-read data from validated samples with known composition. Methods We sequenced two commercially-available mock communities containing ten microbial species (ZymoBIOMICS Microbial Community Standards) with Oxford Nanopore GridION and PromethION. Isolates from the same mock community were sequenced individually with Illumina HiSeq. Data We generated 14 and 16 Gbp from GridION flowcells and 146 and 148 Gbp from PromethION flowcells for the even and odd communities respectively. Read length N50 was 5.3 Kbp and 5.2 Kbp for the even and log community, respectively. Basecalls and corresponding signal data are made available (4.2 TB in total). Results Alignment to Illumina-sequenced isolates demonstrated the expected microbial species at anticipated abundances, with the limit of detection for the lowest abundance species below 50 cells (GridION). De novo assembly of metagenomes recovered long contiguous sequences without the need for pre-processing techniques such as binning. Conclusions We present ultra-deep, long-read nanopore datasets from a well-defined mock community. These datasets will be useful for those developing bioinformatics methods for long-read metagenomics and for the validation and comparison of current laboratory and software pipelines.
Relationship Between Composition and Toxicity of Engine Emission Samples

Differences in the lung toxicity and bacterial mutagenicity of seven samples from gasoline and diesel vehicle emissions were reported previously [1]. Filter and vapor-phase semivolatile organic samples were collected from normal and high-emitter gasoline and diesel vehicles operated on chassis dynamometers on the Unified Driving Cycle, and the compositions of the samples were measured in detail. The two fractions of each sample were combined in their original mass collection ratios, and the toxicity of the seven samples was compared by measuring inflammation and tissue damage in rat lungs and mutagenicity in bacteria. There was good agreement among the toxicity response variables in ranking the samples and demonstrating a five-fold range of toxicity. The relationship between chemical composition and toxicity was analyzed by a combination of principal component analysis (PCA) and partial least squares regression (PLS, also known as projection to latent surfaces). The PCA /PLS analysis revealed the chemical constituents co-varying most strongly with toxicity and produced models predicting the relative toxicity of the samples with good accuracy. The results demonstrated the utility of the PCA/PLS approach, which is now being applied to additional samples, and it also provided a starting point for confirming the compounds that actually cause themore » effects. « less
Investigation of persistent coherent structures along the Southern Brazilian Shelf

Abstract The freshwater-influenced region of the Patos Lagoon discharge to the Southern Brazilian Shelf (SBS) is a region of complex fluid dynamics. Seasoning and synoptic variable winds and coastal current conditions create an alternating flow pattern. The aim of this paper was to investigate the occurrence of persistent coherent structures in this environment. A numerical approach was chosen to describe the main hydrodynamic features of the region during a climatological year. The open-source finite-element code Telemac-Mascaret was applied to the three-dimensional domain. In addition the two-equation k-epsilon model described the turbulence mechanisms. The presence of persistent high-turbulent structures was identified within the study area. These occur as a strong curvilinear disturbance characterized by higher turbulent production and dissipation rates, which increase local mixture. As a result, upward circulation flow was observed, which may be due to irregularities in bottom topography associated with wind-induced stress forces. These results increase the information about the circulation structures of the study area by means of numerical modelling analysis.
KF-KNN: Low-Cost and High-Accurate FM-Based Indoor Localization Model via Fingerprint Technology

Localization and tracking of personnel and equipment are technical issues that urgently need to be solved for Indoor positioning. To improve the accuracy and environmental adaptability of personnel and equipment localization algorithms in the construction and operation of smart water platform, this paper proposes a fingerprint localization algorithm (KF-KNN) based on FM signals. Firstly, use FM data collection device to obtain RSSI fingerprint information within the coverage area, and train them to build a fingerprint database; secondly, KNN technology is used to complete the rough localization calculation based on the RSSI data received by the module to be located, the RSSI fingerprint database and environmental noise parameters; finally, the Kalman filter model is used to predict and optimize the rough position information, so as to have better environmental adaptability and effectively improve the accuracy of localization. The analysis results show that: compared with the original KNN and WKNN fingerprint localization models, the KF-KNN algorithm has better performance in localization, and its average localization error can be as low as 1.9 meters.
A Novel Dual-Stator Hybrid Excited Permanent Magnet Vernier Machine With Halbach-Array PMs

Permanent magnet Vernier machine (PMVM) has received more and more attention, due to its high torque density at low rotation speed. This article proposes a dual-stator hybrid excited PMVM with Halbach-array permanent magnets (PMs). The proposed machine can achieve high torque density with consequent-pole Halbach-array PMs in the rotor and has good flux regulation capability and high power factor. First, the basic principle of the proposed machine is discussed, and the proposed machine can be regarded as a combination of two machines. Finite-element analysis simulations are performed to verify the performance. Moreover, the influence of different parameters on the torque density, flux regulation capability, and power factor is analyzed. The results demonstrate the effectiveness of the proposed machine.
THE ENDLESS POSSIBILITIES OF PAPER ART: DESIGNING THE PERAK TRADITIONAL COSTUME (PUTERI PERAK)

Paper art has existed since the paper was first invented in China around 105 A.D. Ever since, various types of paper art and craft has been established around the world. The research discovered that paper art has an enormous potential to merge with the Malaysian culture and heritage. Therefore, the research replicated and expanded the paper art concept by creating a hybrid art invention, which highlights the kirigami art and Malaysian traditional costume. Literally, there are several established artwork utilizing the kirigami concept in the art scene nowadays. Eventually, there are minimal study that has been done concerning the Malaysian traditional costume. Therefore, the research primary aim is to design a hybrid art by integrating the Japanese art; kirigami with Malaysian traditional costume; Puteri Perak and to discover its potential. In relation, the paper has employed a qualitative case study within the pragmatic paradigm, which involves a studio-based design and documentation on the literature review instruments. The research has intentionally focused on designing the artwork which involves several studio-based methods such as sketches, drawing, material experimenting, origami folding technique exploration, prototype and artwork fabrication and finally the artwork finishing process. The studio-based chronology is an essential phase in the research towards producing a delicate hybrid artwork that is enriched with aesthetic values. The paper has presented the result achieved from the analysis found. The research outcome has an immense potentiality to contribute new knowledge towards modern art scene, Malaysian culture and heritage and as a reference in the academic studies.
PREDICTION OF LIVE BODY WEIGHT USING BODY MEASUREMENTS FOR JAWA BREBES (JABRES) CATTLE

Bodyweight estimation is important for any aspect of livestock management. Jabres cattle farmers use bodyweight estimation to determine the cattle price in the traditional market. Nowadays, they only use eye-based assessment to predict cattle body weight with a lot of inaccuracies. In this study, the cattle body weight was estimated based on body size measurements data, namely body length, heart girth, withers height, rump height, face length, and face width. The data were collected from Jabres cattle reared in the district of Bantarkawung, Brebes, Central Java, Indonesia. The data were taken from 521 Jabres cattle which were stratified by sex and age. Generally, male Jabres cattle have a smaller body size than female Jabres cattle and younger cattle have significant smaller body size than elder cattle. The highest correlation coefficient came from body weight and heart girth. The equation to predict body weight was obtained by multiple linear regression and factorial analysis scores followed by multiple linear regression methods. The result showed that multiple linear regression method was preferable to be used to predict body weight of Jabres cattle because of its better accuracy, better fitness, and more applicable for Jabres cattle farmers.
Technology Initiatives: A Shared Leadership of Digital Natives and Digital Immigrants

This study was designed to determine the leadership practices on technology initiatives for allied programs in medicine and utilization. It utilized descriptive – correlational method of research. Methods include teachers and students who were being interviewed. With the use of qualitative analysis, results show that shared leadership, organizational condition, staff support, and media and software are common to the teachers and learners in terms of digital natives. It also shows the impact of the leadership practices in relation to managing technology initiative. It is found out that relationship between leadership practices and its impact on the implementation and utilization of technology initiative has no significant relationship. It could be possible that administrators’ leadership focuses on relevant, timely, and regular professional development of teachers that are anchored on the school’s vision/mission which may lead to uplift the school’s academic standard in general and enhancement of students’ learning in particular. Educational leaders’ investment on human and technological resources may increase the school’s chance of gaining stakeholders’ support that may eventually lead to increase in enrolment. Students who are satisfied with the technological services being provided by the school may serve as its campaign arm to encourage more enrollees in the future.
Subtidal circulation in a microtidal Mediterranean bay

We examine the role of different forcings on the subtidal circulation in a microtidal bay with freshwater inputs in the NW Mediterranean Sea: Alfacs Bay. Observations of subtidal flow in summer 2013 and winter 2014 reveal a two-layered, vertically sheared circulation. During the summer, there is a significant positive correlation between surface currents and winds along the main axis of the bay, while a negative correlation is observed between wind and the bottom layers. During the winter, the cross-shore response is correlated with the most energetic winds, showing a two-layered vertical structure inside the bay and a nearly depth-independent water motion caused by high wind speeds at the bay mouth. The vertical structure of the velocities, as determined through empirical orthogonal function analysis, confirms that surface layers are affected by winds and bottom currents correlated negatively with winds as a response of the wind set-up. Seasonal mean circulation reveals gravitational exchange at the bay mouth during the summer. However, mean circulation is unclear in the inner bay and close to the drainage channels. Observed flow patterns are supported by modelling results that confirm the persistence of averaged current in the low-frequency dynamics. Re-circulation areas in the inner bay indicate the rich spatial variability in flow at low-frequency time scales.
Innovation in Health Services alignment with the Competitive Advantage Achievement in Private Hospitals in Saudi Arabia: Strategic Evidence

This study examines the extent that innovation in health services dimensions (product, and process) are aligned with competitive advantage within 40 private hospitals in Jeddah city (Kingdom of Saudi Arabia) listed in ministry of health in Saudi Arabia. The results of this study revealed a positive significant correlation between innovation and competitive advantage achievement. In addition, product innovation and process innovation emerged as the significant variables that affect competitive advantage achievement. This study contributes to a better understanding of the influence of innovation dimensions in competitive advantage achievement among private hospitals in Saudi Arabia.
Quantifying local malignant adaptation in tissue‐specific evolutionary trajectories by harnessing cancer’s repeatability at the genetic level

Cancer is a potentially lethal disease, in which patients with nearly identical genetic backgrounds can develop a similar pathology through distinct combinations of genetic alterations. We aimed to reconstruct the evolutionary process underlying tumour initiation, using the combination of convergence and discrepancies observed across 2,742 cancer genomes from 9 tumour types. We developed a framework using the repeatability of cancer development to score the local malignant adaptation (LMA) of genetic clones, as their potential to malignantly progress and invade their environment of origin. Using this framework, we found that pre-malignant skin and colorectal lesions appeared specifically adapted to their local environment, yet insufficiently for full cancerous transformation. We found that metastatic clones were more adapted to the site of origin than to the invaded tissue, suggesting that genetics may be more important for local progression than for the invasion of distant organs. In addition, we used network analyses to investigate evolutionary properties at the system-level, highlighting that different dynamics of malignant progression can be modelled by such a framework in tumour-type-specific fashion. We find that occurrence-based methods can be used to specifically recapitulate the process of cancer initiation and progression, as well as to evaluate the adaptation of genetic clones to given environments. The repeatability observed in the evolution of most tumour types could therefore be harnessed to better predict the trajectories likely to be taken by tumours and pre-neoplastic lesions in the future.
Parameter-related projection-based iterative algorithm for a kind of generalized positive semidefinite least squares problem

A projection-based iterative algorithm, which is related to a single parameter (or the multiple parameters), is proposed to solve the generalized positive semidefinite least squares problem introduced in this paper. The single parameter (or the multiple parameters) projection-based iterative algorithms converges to the optimal solution under certain condition, and the corresponding numerical results are shown too.
Monitoring Dormancy Transition in Almond [Prunus Dulcis (Miller) Webb] during Cold and Warm Mediterranean Seasons through the Analysis of a DAM (Dormancy-Associated MADS-Box) Gene

For fruit tree (Prunus) species, flower bud dormancy completion determines the quality of bud break and the flowering time. In the present climate change and global warming context, the relationship between dormancy and flowering processes is a fundamental goal in molecular biology of these species. In almond [P. dulcis (Miller) Webb], flowering time is a trait of great interest in the development of new cultivars adapted to different climatic areas. Late flowering is related to a long dormancy period due to high chilling requirements of the cultivar. It is considered a quantitative and highly heritable character but a dominant gene (Late bloom, Lb) was also described. A major QTL (quantitative trait loci) in the linkage group (LG) 4 was associated with Lb, together with other three QTLs in LG1 and LG7. In addition, DAM (Dormancy-Associated MADS-Box) genes located in LG1 have been largely described as a gene family involved in bud dormancy in different Prunus species including peach [P. persica (L.) Batsch] and Japanese apricot (P. mume Sieb. et Zucc.). In this work, a DAM transcript was cloned and its expression was analysed by qPCR (quantitative Polymerase Chain Reaction) in almond flower buds during the dormancy release. For this purpose two almond cultivars (‘Desmayo Largueta’ and ‘Penta’) with different chilling requirements and flowering time were used, and the study was performed along two years. The complete coding sequence, designated PdDAM6 (Prunus dulcis DAM6), was subjected to a phylogenetic analysis with homologous sequences from other Prunus species. Finally, expression dynamics analysed by using qPCR showed a continuous decrease in transcript levels for both cultivars and years during the period analysed. Monitoring almond flower bud dormancy through DAM expression should be used to improve almond production in different climate conditions.
Sensorless Predictive Control of SPMSM-Driven Light EV Drive Using Modified Speed Adaptive Super Twisting Sliding Mode Observer With MAF-PLL

Sensor reduction is a key sought after requirement for a surface mounted permanent magnet synchronous motor (SPMSM) electric vehicle (EV) drive to improve reliability and to reduce its cost. However, achieving a smooth and successful wide speed range using sensorless control is still a challenge. This article presents a modified higher order sliding mode observer (SMO)-based position sensorless predictive current control for wide range speed operation of an SPMSM-driven light EV. For reducing chattering and singularity phenomenon in conventional SMO, a modified speed adaptive super twisting SMO with moving average filter phase-locked loop (PLL) is deployed to accurately estimate the position and speed of SPMSM. Moreover, optimal switching pulses are provided to a voltage source inverter using time delay-compensated finite control set-model predictive current controller, eliminating the need of proportional integral controllers and modulators. Simulated performance of the control scheme is presented in MATLAB Simulink and its hardware implementation is executed using an SPMSM EV drive laboratory test setup. A comprehensive study of different PLL-based SMOs is carried out and the effectiveness of proposed system against conventional and other methods is demonstrated experimentally. It is observed that this method allows seamless sensorless operation at 3.95% of rated speed.
The Contribution of Food Taken at-Home and Away-from-Home to Children’s Diet and Nutrition

Recent studies have started to pay attention on several factors on the eating habits of children with the increasing concern of childhood nutritional status. Research has shown that eating habits for children are increasingly affected by advances in science and technology, changes in lifestyle, dietary transformation, and vice versa. Children are more likely to eat available and easily accessible foods, and they generally tend to eat huge quantity whilst larger portions are given. The objectives of this study were to illustrate the contribution of at-home and away-from-home food intake to the diet and nutrition of children as well as their scenario of intake by children and comparative nutritional quality. By following proper criteria, applicable secondary data, and records from extraordinary electronic databases have been included in this paper for accomplishing the review article. According to the aforementioned literature, the majority of children's daily energy demands are provided by the food taken at home and this form of food also contributes to most children's macro-nutrient and micro-nutrient requirements. Yet, away-from-home food intake is rising every day around the world. Away-from-home foods have been reported to be of lower nutritional quality and greater portion sizes compared with other home-made foods. The results of the study suggest that out-of-home foods tend to have high energy density; other findings of the study indicate that out-of-home foods can be a source of staple foods as well as snack-type foods and sugar-sweetened beverages. As the children's eating behavior changes smoothly, an appropriate study should be carried on food taken at home and away from home to cover the correct diet and nutrition for the children.
Influence of Conditional Cash Transfer on Household Economic Outcomes: Perspective of Livelihood Empowerment Against Poverty (LEAP) Beneficiaries in Builsa North District of Ghana

Abject poverty remains widespread in many parts of the world today despite the remarkable progress achieved since the Second World War. Though poverty levels in Ghana have declined in terms of hard-core poor, the decline in poverty has, however, not been geographically spread equally. Achieving poverty reduction goals in Ghana, the Livelihood Empowerment Against Poverty (LEAP) Social Grants scheme was introduced as an effective long-term response to extreme poverty among vulnerable groups. This study assessed the influence of LEAP Cash Transfer on the economic outcomes of beneficiaries in the Builsa North District of Upper East Region, Ghana. The study employed a case study design. Data was collected from 156 randomly selected respondents using qualitative questionnaires, and focused group discussions. The study found that LEAP has played a pivotal role at strengthening the economic and social fortunes of majority of vulnerable households. It has enhanced households’ ability to participate in social functions, access education/literacy as human capital asset, and access vast agricultural lands to undertake crop farming activities. The study recommends to the implementing ministry, the Ministry of Gender and its subsidiary agencies at the District level to educated beneficiaries of the CCT to believe more in their individual efforts with little support such as the cash transfer. Keywords: Conditional Cash Transfer, Household Economic Outcome, LEAP, Builsa North, Livelihood framework DOI: 10.7176/RHSS/10-14-04 Publication date: July 31 st 2020
Contribution à l'étude de la croissance de GaSb et d'InAs par épitaxie par jets moléculaires

Ce travail porte sur la croissance de gasb et d'inas par epitaxie par jets moleculaires (ejm), le but etant d'optimiser la preparation du substrat, de preciser les mecanismes de croissance de gasb de facon a definir des conditions experimentales permettant de s'affranchir des problemes de dopage residuel et de definir des conditions de croissance satisfaisantes d'inas, sur gasb, pour elaborer des structures inas/gasb de qualite acceptable. La premiere phase de l'etude est consacree a la mise au point d'une procedure de traitement des substrats de gasb et d'inas, avant epitaxie. Pour ce faire, l'exposition aux ultraviolets et a l'ozone est employee. Ensuite, les mecanismes fondamentaux de croissance de gasb par ejm sont etudies ; la diffusion des atomes de gallium en surface, l'incorporation des tetrameres d'antimoine et la structure de la surface durant la croissance sont precisees. Le comportement de l'antimoine distinct de celui des autres elements v est discute a l'aide d'un modele base sur la structure de la surface de gasb reconstruite (1). Les conditions de croissance de couches d'inas presentant une bonne morphologie, sur des substrats de gaas, gasb et inas sont ensuite definies ainsi que les conditions de formation de l'interface gasb/inas