Miracle-dz/UniFAR-FTUs huggingface dataset:
Proximate sharing of geo data using the credit‐considered mobile edge computing server switching control scheme

This paper proposed a mobile edge computing (MEC)‐based point of interests (POIs) downloading and proximate sharing system for a group of people, who belong to the same mobile social networks in proximity (MSN‐P) and whose handheld devices are connected in a tree‐like structure. Using the proposed system, the root handheld device plays the role of an MEC server and is charge of downloading POIs' contents from the remote cloud server using 4G/5G cellular network and then forwarding POIs' contents to other group members' handheld devices using device‐to‐device (D2D) communication. Since the number of connected handheld devices in each handheld device is limited using D2D communication, this work proposed a control scheme called k‐Connection‐Limited and n‐Hop (kCL‐nH) tree topology's construction scheme to achieve the proximate sharing of POIs' contents. Additionally, since the root handheld device consumes more battery power than others, this work proposed a control scheme that has each group member's handheld device to be the root handheld device alternatively. A credit scheme was thus proposed to denote each handheld device's contribution, which is referred for the selecting of the next root handheld device, to achieve the fairness concern. Then, the control scheme, which is executed in the corresponding MEC server, considering both remaining battery power and credit for the switching of the root handheld device was designed. The proposed method was developed using Wi‐Fi Direct over the iOS system. Experimental results have shown some interested results among power consumption, downloaded data volume and fairness among all handheld devices.
Fault Detection and Isolation System Based on Structural Analysis of an Industrial Seawater Reverse Osmosis Desalination Plant

Currently, the use of industrial seawater reverse osmosis desalination (ISROD) plants has increased in popularity in light of the growing global demand for freshwater. In ISROD plants, any fault in the components of their control systems can lead to a plant malfunction, and this condition can originate safety risks, energy waste, as well as affect the quality of freshwater. This paper addresses the design of a fault detection and isolation (FDI) system based on a structural analysis approach for an ISROD plant located in Lima (Peru). Structural analysis allows obtaining a plant model, which is useful to generate diagnostic tests. Here, diagnostic tests via fault-driven minimal structurally overdetermined (FMSO) sets are computed, and then, binary integer linear programming (BILP) is used to select the FMSO sets that guarantee isolation. Simulations shows that all the faults of interest (sensors and actuators faults) are detected and isolated according to the proposed design.
Agronomic Evaluation of Bunching Onion in the Colombian Cundiboyacense High Plateau

Bunching onion (Allium fistulosum L.) is a strategic crop for Colombia due to its economic relevance within fresh and processed food markets, and therefore, there is a demand for high yielding genotypes adapted to specific regions. For this reason, after carrying out a clonal selection process including 62 genotypes, ten of these, including a regional control, were evaluated for six different traits in Boyaca (Colombia) during 2012 and 2013. These traits were grouped into agronomic, yield, and processing categories. In general, these showed significant differences ( ) for genotypes, location, and genotypes × location interaction. Compared with the regional control and based on the multienvironmental analysis the genotypes Clone 30 and Clone 38 were the most promising new cultivars identified in this study. These two clones showed comparative advantages on earliness and yield, and they moreover showed some level of resistance to downy mildew and root rot, the most limiting diseases for Boyaca’s bunch onion farmers. Therefore, Clone 30 and Clone 38 were registered as new bunching onion cultivars for the Cundiboyacense High Plateau region under the names Corpoica Aquitania-1 and Corpoica Tota-1, respectively. Finally, further approaches and initiatives on bunching onion breeding are discussed.
Excellence is not an island: team-based professional development in Higher Education

ABSTRACT This paper describes and analyses teacher professional development actions and learning within the context of Higher Education in a Spanish public university. Seven teachers from different areas of knowledge and with different levels of teaching experience in the university participated in the study. Individual class journals were interpreted along with recordings of team sessions to investigate the teaching actions designed with regard to the teaching-learning process over the course of four academic years. Team-based teacher professional development was viewed as a collaborative rather than an individual process. Its impact was analysed following the model of domains developed by Clarke and Hollingsworth : personal (conceptions of teaching), practical (actions carried out), external (resources and context), and consequences (learning outcomes for the students). The results signalled changes in the four domains derived from deliberate and regulated processes of action and reflection. On account of the decisive impact of professional development, there is evidence of: (1) mutual influence between faculty staff, students, and social organisations, which either fosters or inhibits professional improvement; (2) students’ learning outcomes, emotions, and motivations. External conditions, particularly time constraints and institutional rigidity, on the contrary, acted as barriers to professional development.
Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement.

Background Prostate tumor volume correlates with critical components of cancer staging such as Gleason score (GS) grade, predicted disease progression, and metastasis. Therefore, non-invasive tumor volume measurement may elevate clinical management. Radiology assessments of multi-parametric MRI (MP-MRI) commonly visually examine individual images to determine possible tumor presence. This study combines registered MP-MRI into a single image that display normal tissue and possible lesions. This study tests and exploits the vector nature of spatially registered MP-MRI by using supervised target detection algorithms (STDA) and color display and psychovisual analysis (CIELAB) to non-invasively estimate prostate tumor volume. Methods MRI, including T1, T2, diffusion [apparent diffusion coefficient (ADC)], dynamic contrast enhanced (DCE) images, were resampled, rescaled, translated, and stitched to form spatially registered Multi-parametric cubes. The multi-parametric or multi-spectral signatures (7-component or T1, T2, ADC, etc.) that characterize the prostate tumors were inserted into target detection algorithms with conical decision surfaces (adaptive cosine estimator, ACE). Various detection thresholds were applied to discriminate tumor from normal tissue. In addition, tumor appeared as yellow in color images that were created by assigning red to washout from DCE, green to high B from diffusion, and blue to autonomous diffusion image. The yellow voxels in the three-channel hypercube were visually identified by a reader and recording voxels that exceed a threshold in the b* component of the CIELAB algorithm. The number of reported tumor voxels were converted to volume based on spatial resolution and slice separation. The tumor volume measurements were quantitatively validated by comparing the tumor volume computations to the pathologist's assessment of the histology of sectioned whole mount prostates from 26 consecutive patients with prostate adenocarcinoma who underwent radical prostatectomy. This study analyzed tumors exceeding 1 cc and that also took up contrast material (18 patients). Results High correlation coefficients for tumor volume measurements using supervised target detection and color analysis vs. histology from wholemount prostatectomy were computed (R=0.83 and 0.91, respectively). A linear fit for tumor volume measurements using for supervised target detection and color analysis vs. tumor measurements from radical prostatectomy (after correcting for shrinkage from the radical prostatectomy) results in a slope of 1.02 and 3.02, respectively. A polynomial fit for the color analysis to the histology found (R=0.95). Voxels exceeding a threshold in the b* part of the CIELAB algorithm yielded correlation coefficients (0.71, 0.80) offsets (0.01 cc, -0.63 cc) and slopes (1.99, 0.89) against the wholemount prostatectomy and color analysis, respectively. Conclusions Supervised target detection and color display and analysis applied to registered MP-MRI non-invasively estimates prostate tumor volumes >1 cc and displaying angiogenesis.
Determining Customer Relationship Management Strategy With Customer Personality Analysis Using Ontology Model Approach

Indonesia is a market with attractive e-commerce growth in the past four years. The tight competition made the company try to find ways to maintain customer loyalty, including making improvements to the Customer Relationship Management (CRM) strategy. The way to establish a good CRM strategy is driven by a good approach from the company to customers. Through the process of understanding customer personality, major companies able to understand their customer behaviour, therefore, companies driven by their marketers can perform product marketing activities that are tailored to the tendency of the customer's personality. This research was conducted to determine the personality of the customer by utilizing data obtained from online reviews of several products using the ontology model approach. Personality is measured based on words and phrases given by customers through their online reviews with the help of the Big Five Personality theory in the classification process. The results of this study indicate that the measurement of personality using an ontology model reconstructed with the n-gram algorithm shows that customers on several products have different personalities. These personalities can be used as a foundation in determining and establishing CRM strategies in order to gain higher customer engagement. Keywords—Customer Relationship Management; Online Review; Ontology Model; Personality Measurement
ISOLASI DNA TANAMAN JERUK DENGAN MENGGUNAKAN METODE CTAB (CETYL TRIMETHYL AMMONIUM BROMIDE)

Tanaman jeruk termasuk tanaman buah terpenting di dunia. Buah jeruk menjadi peringkat pertama dalam pasar buah internasional. Indonesia termasuk negara pengimpor jeruk terbesar kedua di ASEAN. Jeruk merupakan salah satu komoditas hortikultura yang berfungsi sebagai sumber gizi, sumber pendapatan, dan sumber devisa negara. Kompetisi global peningkatan penjualan jeruk dan ketahanan industri jeruk bergantung pada ketersediaan kultivar yang baik secara genetik. Pemuliaan tanaman jeruk dapat dilakukan dengan cara persilangan dan teknik hibridisasi somatik. Identifikasi tanaman hasil pemuliaan tanaman jeruk dapat dilakukan berdasarkan karakter morfologi, anatomi, sitogenetika dan molekuler. Analisis secara molekuler lebih akurat karena dilakukan pada level DNA. Hal pertama yang dilakukan untuk identifikasi tanaman jeruk secara molekuler ialah isolasi DNA. Isolasi DNA tanaman jeruk dapat dilakukan dengan menggunakan metode CTAB (Cetyl Trimethyl Ammonium Bromide). Setelah DNA diperoleh, maka DNA diuji secara kuantitas dan kualitas untuk mengetahui tingkat konsentrasi dan kemurnian. Metode CTAB dapat digunakan untuk mengisolasi DNA tanaman jeruk.
Evolved sequence features within the intrinsically disordered tail influence FtsZ assembly and bacterial cell division

Intrinsically disordered regions (IDRs) challenge the well-established sequence-structure-function paradigm for describing protein function and evolution. Here, we direct a combination of biophysical and cellular studies to further our understanding of how the intrinsically disordered C-terminal tail of FtsZ contributes to cell division in rod-shaped bacteria. FtsZ is a modular protein that encompasses a conserved GTPase domain and a highly variable intrinsically disordered C-terminal tail (CTT). The CTT is essential for forming the cytokinetic Z-ring. Despite poor sequence conservation of the CTT, the patterning of oppositely charged residues, which refers to the extent of linear mixing / segregation of oppositely charged residues within CTT sequences is bounded within a narrow range. To assess the impact of evolutionary bounds on charge patterning within CTT sequences we performed experiments, aided by sequence design, to quantify the impact of changing the patterning of oppositely charged residues within the CTT on the functions of FtsZ from B. subtilis. Z-ring formation is robust if and only if the extent of linear mixing / segregation of oppositely charged residues within the CTT sequences is within evolutionarily observed bounds. Otherwise, aberrant, CTT-mediated, FtsZ assemblies impair Z-ring formation. The complexities of CTT sequences also have to be above a threshold value because FtsZ variants with low complexity CTTs are not tolerated in cells. Taken together, our results suggest that CTT sequences have evolved to be “just right” and that this is achieved through an optimal extent of charge patterning while maintaining the sequence complexity above a threshold value.
Genetic and physiological quality of tomato seed and seedlings

The success of germination, growth and final yield of every crop depends to a large extent on the quality of the seeds used to grow the crop. Seed quality is defined as the viability and vigor attribute of a seed that enables the emergence and establishment of normal seedlings under a wide range of environments. We attempt to dissect the mechanisms involved in the acquisition of seed quality, through a combined approach of physiology and genetics. To achieve this goal we explored the genetic variation found in a RIL population of Solanum lycopersicum (cv. Moneymaker) x Solanum pimpinellifolium through extensive phenotyping of seed and seedling traits under both normal and nutrient stress conditions and root system architecture (RSA) traits under optimal conditions. We have identified 62 major QTLs on 21 different positions for seed, seedling and RSA traits in this population. We identified QTLs that were common across both conditions, as well as specific to stress conditions. Most of the QTLs identified for seedling traits co-located with seed size and seed weight QTLs and the positive alleles were mostly contributed by the S. lycopersicum parent. Co-location of QTLs for different traits might suggest that the same locus has pleiotropic effects on multiple traits due to a common mechanistic basis. We show that seed weight has a strong effect on seedling vigor and these results are of great importance for the isolation of the corresponding genes and elucidation of the underlying mechanisms.
Headwater–river gradient: trait-based approaches show functional dissimilarities among tropical fish assemblages

Traditionally, species richness and composition of freshwater communities are expected to change according to the structural variation from headwaters to river mouth. In the present study, we hypothesised that fish functional traits will respond to this gradient, leading to functional dissimilarities between fish assemblages of headwaters and those of rivers. We addressed the following questions: (1) which functional traits are present in fish assemblages of each habitat type; (2) which environmental factors determine the occurrence of fish functional traits; and (3) how functional traits are related to each environmental variable? Our findings showed dissimilarities between fish assemblages of headwaters and those of rivers, mainly driven by channel depth, channel width, water temperature, water turbidity and concentration of dissolved oxygen, whereas altitude, water temperature and pH were mainly correlated with variation within each habitat type. These results suggested that not only do the physical variables proposed in classical theory of the river-continuum concept follow the upstream–downstream gradient in structuring the functional organisation of fish assemblages, but that also physicochemical variables, such as turbidity and concentration of dissolved oxygen, display this trend in tropical river systems. Moreover, our results have given a first perspective on what kind of fish species and fish functional traits to expect in each habitat type and, consequently, along the headwater–river mouth gradient.
Analysis of microRNA function using systemic regulatory features and graph models

Post-transcriptional down-regulation of target genes by microRNAs is a widespread phenomenon that influences most mammalian genes. In many cases, however, the actual function of microRNA-mediated regulation in vivo is not clear. In this thesis, the biological function of microRNAs is analyzed by using systemic features of microRNA mediated regulation. They are included in functional enrichment methods to capture the complex role of microRNAs in regulation of biological processes.
Molecular epidemiology of schistosomiasis in Central River Region of The Gambia

Schistosomiasis is the second most prevalent tropical parasitic disease after malaria, and one of the leading cause of morbidity and mortality in developing countries especially in Africa. This study was carried out among students, farmers and fishermen/women from four villages in the Central River Region of The Gambia. The aim of this study was to show the prevalence value of schistosomiasis in Central River Region of The Gambia. Questionnaires were administered to acquire data such as age, gender, prior schistosomiasis infection and treatment. One hundred and ninety-five blood and 192 urine samples collected from 117 females and 78 males were examined. Microscopy, ELISA and Polymerase Chain Reaction (PCR) techniques were used to detect and characterize schistosome isolates from the biological samples. Prevalence of Schistosoma haematobium was 28.7 with 41.0% in males and 23.9% in females. The highest prevalence value among the villages was in Brikama Ba with 53.1% while the age group 6-15 years had the highest prevalence of 50.0%. Schistosoma mansoni was only detected in Jahally village (1.5%). Schistosomiasis detection was highest using ELISA (40%) and lowest using microscopy (24.5%). PCR gave a 28.7% prevalence value. Key words: Prevalence, Schistosoma, diagnostic techniques, Central River Region.
Stimulating return migration to Romania: a multi-method study of returnees’ endorsement of entrepreneurship policies

ABSTRACT This study sought to address an important gap in the contemporary literature on intra-European return migration and examines the factors shaping Romanian returnees’ support for return policies based on entrepreneurship. Empirical evidence collected using a multi-method approach was analysed to identify how various features linked to migration experiences and return influence returnees’ likelihood of supporting these types of policies. The quantitative results of logistic regression analyses were complemented by a systematic analysis of qualitative insights collected through in-depth interviews. The general profile of Romanian returnees who support policies focused on entrepreneurship includes the extension of social networks during migration, improvements in self-confidence levels, longer periods after return and urban residential status. A lower probability of favouring these types of policies is determined by returnees’ positive evaluation of pay levels in the local labour market, remittances during migration periods and a higher importance given to the value of migration in terms of learning foreign languages. The in-depth interviews facilitated the identification of the main lines of discourse about what Romanian returnees and a counterfactual control group of non-migrant entrepreneurs think about return migration policy implementation in Romania.
On the relationship between parameters of melt spreading over the surface of substrates of variable composition and state diagrams

On of metered-dose drops of various concentrations on a substrate of variable composition. The basis for the substrates and droplets is the contact melting (CM) method related to state diagrams which are used to study the concentration dependence of surface characteristics (spot shape and size, wetting and spreading, surface tension, etc.) under the same conditions which improves accuracy of the characteristics. It was found that the microstructure of the transition zone of the substrate-drop depends on the location of the drop on the substrate, i.e. on the concentration of the substrate.
An Update of Sperm Preparation : A Review of Supplementation Substances to Improve Sperm Quality

One etiology of the unsuccesful intra uterine insemination (IUI) is sperm preparation. There are some limitations of sperm preparation utilization which may decrease fertilization rates leading to IUI failure. Nevertheless, there are some substances which suggested could improve the outcome of sperm preparation. This review aimed to summarize the substances that could improve the sperm quality, thus increasing success rate of IUI, as an update of sperm preparation. Several researches which have developed agreed that the supplementation of antioxidant, hormone and drugs could improve the quality of sperm. The addition of dithiothreitol and superoxide dismutase during centrifugation could prevent some harmful effects such as membrane plasma disruption caused by lipid peroxidation process. The supplementation of myoinositol before and after capacitation increased total and progressive motile sperm significantly. Astaxanthin decreased the generation of ROS in sperm. Furthermore, LH could increased intracellular Ca2+ as a second messenger of signal transduction pathways during sperm capacitation, whereas prolactine prolonged human sperm motility and prevent caspase activation. In addition, the supplementation of pentoxifylline could enhance the motility of post-thaw sperm and its longevity in vitro.
Accurate Estimation of Neural Population Dynamics without Spike Sorting

A central goal of systems neuroscience is to relate an organism’s neural activity to behavior. Neural population analysis often begins by reducing the dimensionality of the data to focus on the patterns most relevant to a given task. A major practical hurdle to data analysis is spike sorting, and this problem is growing rapidly as the number of neurons measured increases. Here, we investigate whether spike sorting is necessary to estimate neural dynamics. The theory of random projections suggests that we can accurately estimate the geometry of low-dimensional manifolds from a small number of linear projections of the data. We re-analyzed data from three previous studies and found that neural dynamics and scientific conclusions are quite similar using multi-unit threshold crossings in place of sorted neurons. This finding unlocks existing data for new analyses and informs the design and use of new electrode arrays for laboratory and clinical use.