Miracle-dz/UniFAR-FTUs huggingface dataset:
Yield and nutritive value of tropical forage legumes grown in semi-arid parts of Zimbabwe

Four legume species ( Lablab purpureus cv. Highworth, Macroptilium atropurpureum cv. Siratro, Stylosanthes guianensis cv. Fine stem and Desmodium uncinatum cv. Silverleaf) were grown in experimental plots on 4 soil types in Gokwe South District, Zimbabwe from 1995‐1998. The textural classes of the soils were sand, sandy loam, sandy clay loam and clay. The first 3 soil types are regosols formed on Kalahari sands and the clay soils are black vertosols derived from basalt. Legume yield was not significantly affected (P > 0.05) by the type of soil. Lablab out-performed the other legumes with a dry matter yield of 5.9 t/ha, compared with 3.1, 2.9 and 3.3 t/ha for Siratro, Fine stem and Silverleaf desmodium, respectively. The corresponding protein concentrations in the legumes were 159, 167, 159 and 134 g/kg DM. The results show that all of these legumes can be grown satisfactorily in areas of high temperature and low rainfall and produce forage with a high protein concentration, with lablab producing the highest DMY.
New Approaches to Study Fresh Pork Sausage Microbiota

The fresh pork sausage is a perishable product that over the time can be colonized by spoilage bacteria that can make it inacceptable because of undesirable modifications of sensorial properties, such as appearance, texture, odor, and flavor [1] [2]. Indeed, being a fresh product, no thermal treatment is applied during the production process [3]. Furthermore, this product has a meat matrix with high water activity and slightly acidic pH. High level of nutrients including glucose, lactic acid, nitrogenous compounds, and amino acids allows also growth of bacteria.
Improving Effectiveness Of Web Sites UsingIncremental Data Mining Over Clickstreams

The increasing necessity of organizational data exploration and analysis, seeking new knowledge that may be implicit in operational systems, has made the study of data mining techniques gain a huge impulse. This impulse can be clearly noticed in the e-commerce domain, where the analysis of a client’s past behaviours is extremely valuable and may, eventually, bring up important working instruments for determining their future behaviour. Typical databases are continuously changing, which can invalidate some patterns or introduce new ones. Thus, conventional data mining techniques were proved to be inefficient, as they needed to re-execute to update the mining results with the ones derived from the database changes. To solve this problem and ensure a better performance in data mining processes, incremental mining techniques have emerged. In this paper, we analyze some existing incremental mining strategies and models, giving particular emphasis to their application on Web sites, in order to develop models to discover Web users behaviour patterns and automatically generate some recommendations to restructure sites in useful time.
Modified Decancellation Posterior Closing-Wedge Osteotomy for Correction of Traumatic Thoracolumbar Kyphotic Deformity: A Cadaveric and Preliminary Clinical Study

Study design: Cadaveric and clinical studies. Objectives: To investigate the safety and efficiency of modified decancellation posterior closing-wedge osteotomy for traumatic fixed kyphotic deformity of thoracolumbar spine. Methods: Single-level vertebral osteotomy was performed on two groups of fresh-frozen human cadaveric lumbar spines. Group I underwent conventional decancellation posterior closing-wedge osteotomy, and Group II underwent our modified cancellation posterior closing-wedge osteotomy. Sagittal plane angulation as well as anterior height and distance between the most cephalad and caudal endplate were measured before and after osteotomy. Twenty six cases of old thoracolumbar fractures with spinal cord injury were recruited in this study. The mean age was 35.6 years. The mean time from injury to operation was 25 months ranging from 3 months to 11 years. Prior to the index surgery, 9 patients received conservative treatment, and 17 patients underwent surgical treatment. There was complete paraplegia in 10 cases and incomplete paraplegia in 14 (Frankel B in 2 cases, C 10 and D 2). Two patients had no neurological deficit. All patients suffered from low back pain, the average score of Visual Analog Scale (VAS) was 4.5 (range 2.5-6.0). The patients were found to have a mean remaining kyphotic deformity of 35° (range 20°-75°). According to the deformity angles conventional or modified decancellation posterior closing-wedge osteotomy was performed. Results: The mean correction was 36° ± 3.6° for Group I and 49° ± 2.0° for Group II. The mean change in anterior height was only 2–4 mm for Group I and II. All cases were followed up for 10 months to 6 years with a mean of 12.5 months. Successful decompression and satisfied correction of kyphosis was noticed. The post-operatively mean angle of kyphosis deformity was 10.8°, ranging from 0° to 40°. Neurological function recovery was noted in 50% of cases. For complete spinal cord injury, 30% of cases had partial recovery (sensation) whereas recovery was observed in 64.3% of cases with incomplete spinal cord injury. The statistical difference between the groups was p<0.01. The mean score of visual analog scale (VAS) was 2.3 (range 1.0-3.5) at last follow-up. Conclusion: The fixed kyphotic deformity of thoracolumbar spine in traumatic spinal cord injury could be treated with conventional or modified decancellation posterior closing-wedge osteotomy. Neurological function recovery and alleviation of low back pain is expected.
A Method for Online Trajectory Simplification by Enclosed Area Metric

A novel simplification method for GPS trajectory is presented in this paper. Based on the observation of information content contained by sampling data, we assume that (1) the sampling points on the boundary of MBR (Minimum Bounding Rectangle) contain more information content, (2) the bigger the area of MBR is, and the more the points should be stored. We applied these two assumptions in our method to simplify trajectory online. Two integral parts of this method – divide/merge principle and selection strategy, are elaborated in the paper. Moreover, we define a more convincing error metric – enclosed area metric – to evaluate the accuracy of simplified trajectories. For this measure, we devise a practical algorithm of area calculation for self-intersecting polygons. Through comparing with other methods in a series of experiments, our method is proven highly effective and efficient. In addition, it has an extensive application prospect in many fields especially in participatory sensing.
ZnS and Graphene Quantum Dots Nanocomposite as Potential Electron Acceptor for Photovoltaics

Zinc sulphide (ZnS) quantum dots (QDs) were synthesized successfully via simple sonochemical method. X-ray diffraction (XRD), scanning electron microscopy (SEM) and high resolution transmission electron microscopy (HRTEM) analysis revealed the average size of QDs of the order of 3.7 nm. The band gap of the QDs was tuned to 5.2 eV by optimizing the synthesis parameters. UV-Vis absorption spectra of ZnS QD confirm the quantum confinement effect. Fourier transform infrared (FTIR) analysis confirmed the formation of single phase ZnS QDs. To fabricate the diode, blend of ZnS QDs and P3HT was prepared and the heterojunction of PEDOT:PSS and the blend was formed by spin coating on indium tin oxide (ITO) coated glass substrate. The diode behaviour of the heterojunction was analysed, wherein the ideality factor was found to be 2.53 with turn on voltage 0.75 V and the barrier height was found to be 1.429 eV. ZnS-Graphene QDs nanocomposite was characterised for the surface morphological study. It was found that the synthesized ZnS QDs appear as quasi spherical particles on the graphene sheets. The average particle size of ZnS-graphene nanocomposite QDs was found to be 8.4 nm. From voltage-current characteristics of ZnS-graphene nanocomposites, it is observed that the conductivity of the composite increases by 10 times the conductivity of ZnS QDs. Thus the addition of graphene QDs in ZnS QDs enhances the mobility of the charge carriers in the composite material. Thus, the graphene QDs, with high specific area for a large interface, high mobility and tunable band gap, show a great potential as an electron-acceptors in photovoltaic devices. Keywords—Graphene, mobility, nanocomposites, photovoltaics, quantum dots, zinc sulphide.
Model Predictive Voltage Control applied to a Nested NPC to micro-grid applications

Microgrids are subsystems of the distribution grid operating as a single controllable system either connected or isolated from the grid. In this paper the frequency and voltage regulation loops are coordinated by a non-linear Model Predictive Control (MPC) controller, and the controllable resources are sequentially dispatched, the proposes a Model Predictive Voltage Control is applied to a 4-level Nested Neutral Point Clamped converter. The performance of the proposed converter is verified by simulations.
Rational Design for Crystallization of β-Lactoglobulin and Vitamin D3 Complex: Revealing a Secondary Binding Site†

β-Lactoglobulin (LG) is a major milk whey protein containing primarily a calyx for vitamin D3 binding, although the existence of another site beyond the calyx is controversial. Using fluorescence spectral analyses in the previous study, we showed the binding stoichiometry for vitamin D3 to LG to be 2:1 and a stoichiometry of 1:1 when the calyx was “disrupted” by manipulating the pH and temperature, suggesting that a secondary vitamin D binding site existed. To help localize this secondary site using X-ray crystallography in the present study, we used bioinformatic programs (Insight II, Q-SiteFinder, and GEMDOCK) to identify the potential location of this site. We then optimized the occupancy and enhanced the electron density of vitamin D3 in the complex by altering the pH and initial ratios of vitamin D3/LG in the cocrystal preparation. We conclude that GEMDOCK can aid in searching for an extra density map around potential vitamin D binding sites. Both pH (8) and initial ratio of vitamin D3/LG (3:1) are c.
Relocation of the Rich: Migration in Response to Top Tax Rate Changes from Spanish Reforms

Abstract A Spanish reform granted regions the authority to set income tax rates, resulting in substantial tax differentials. Using administrative data, we find that conditional on moving, taxes have a significant effect on location choice. A 1% increase in the net-of-tax rate for a region relative to others increases the probability of moving to that region by 1.7 percentage points. We estimate an elasticity of the number of top taxpayers with respect to net-of-tax rates of 0.85. The mechanical increase in tax revenue due to higher tax rates is larger than the loss in tax revenue from the net outflow of migration.
Shallow-water refuge paradigm: conflicting evidence from tethering experiments in a tropical estuary

The shallow-water refuge paradigm has been globally applied to help explain the high abundances of juvenile fishes that utilise shallow-water estuarine nursery habitats. Despite the wide application and acceptance of the paradigm, there is little direct evidence to indicate that small juvenile fishes benefit from reduced predation pressure in shallow water habitats relative to adjacent deeper waters. The present study employed chronographic tethering experiments to examine patterns in predation potential across a depth gradient (0.2 to 3 m) in the lower reaches of a tropical estuary in northeastern Queensland, Australia. Over 6 mo, 17 replicate experimental trials were conducted, deploying a total of 183 tethered fish prey. Despite the clear and consistent patterns found in the few previous studies elsewhere in the world, there was no significant effect of depth on predation pressure, and thus no evidence of lower predation pressure in the shallow relative to the adjacent deeper estuarine waters examined in the present study. The findings suggest that the shallow-water refuge paradigm may be too simplistic for diverse and complex tropical estuarine nursery grounds.
Effects on Resilience of Alcoholics

This study carried out a questionnaire survey targeting 112 people in a group abstaining from alcohol and 110 people belonging to a group indulging in alcohol in order to evaluate the level of resilience and self-identity among alcoholics and identify correlations between these two factors; and to examine what influence resilience had on their relationship with alcohol. According to the study results, the following were revealed: First, resilience and self-identity were higher in the abstainer group than the alcoholic group. Second, significant correlations were found between resilience and self-identify in both abstainer group and alcoholic group. Third, self-acceptance was a sub-factor related to self-identity and this was significant in terms of resilience in the abstainer group, whereas self-acceptance and friendliness were important factors in the alcoholic group with regard to resilience.
Novel Physiotherapy Approach for Multiple Sclerosis

Multiple sclerosis is a chronic, complex disease with a variety of clinical symptoms and affects mainly young and middle-aged people. Research and therapies are focused on the early phase of MS, especially relapsing-remitting MS (RRMS). There is the need for novel therapeutic strategies especially oriented towards neuroprotection in the chronic phase. Accumulating data outlines the beneficial role of physiotherapy in individuals with MS. A physiotherapy program improves muscle strength, balance, walking capacity and decreases spasticity, while also enhancing mood, cognitive function and reducing fatigue. Currently, neurorehabilitation programs are among themost popular therapies for reducing the disabilities and social disadvantages of MS patients. Rehabilitation strategies in MS should be based on the promotion of motor learning-related neuroplasticity improving functional outcomes. Therefore, the interdisciplinary team is essential for maximizing the patient's ability to function. In this review current treatment, symptoms and clinical phenotypes, the role of rehabilitation, main measures that are recommended to estimate disability, impairment and handicap of MS are presented. Additionally, aerobic training as a factor enhances cognitive function by upregulation of neurotrophins, such as brain-derived neurotrophic factor(BDNF) was showed. First of all this review focuses on the novel methods used in multiple sclerosis patients including telerehabilitation and cryostimulation.
Exploiting MCF-7 Cells’ Calcium Dependence with Interlaced Therapy

The purpose of this study is to demonstrate MCF-7 cells’ dependence on calcium for growth and to exploit that dependence to improve chemotherapy efficacy. Fura-2 fluorescence imaging shows that MCF-7 cells maintain a higher basal intracellular calcium concentration than non-tumorigenic MCF-10A cells. Blocking T-type calcium channels with mibefradil reduced MCF-7 intracellular calcium concentration. Flow cytometry shows that knocking down T-type calcium channel expression with siRNA caused an increase in MCF-7 cells in G1 phase and a decrease in cells in S phase. Proliferation assays of MCF-7 cells treated with EGTA and thapsigargin reveal the dependence of MCF-7 cell growth on extracellular and intracellular calcium sources, respectively. In vitro, interlaced treatment that alternated the T-type calcium channel blocker NNC-55-0396 with paclitaxel more effectively reduced MCF-7 cell number than chemotherapy alone. In a mouse in vivo model, interlaced mibefradil and paclitaxel more effectively reduced MCF-7 xenograft size than chemotherapy alone. These findings indicate that MCF-7 cells are dependent on calcium for proliferation, particularly in passing the G1/S cell cycle checkpoint. Further, this dependence on calcium can be exploited by alternating treatment with T-type calcium channel blockers with paclitaxel in an interlaced therapy scheme that increases the efficacy of the chemotherapy.
PlayBug: Discovery by Software-knowledge Rules

Regression testing of software packages is useful to eliminate stubborn remaining bugs. But one often obtains relatively long sequences of commands needed to reproduce software failures and pinpoint bugs. A systematic approach to reduce these command sequences is essential for efficient bug discovery. This work proposes the use of rules expressing specific knowledge about the given software application. Rules are grouped in rule classes, which enable their application by a generic engine. The approach was validated by design and actual implementation of a PlayBug engine and its extensive testing on application families of software dealing with interactive GUI commands.
Beyond national averages for immunizations in India : income, gender, and regional inequalities

The paper addresses overall performance and wealth, and gender inequalities in immunization in India. The study analyzes within each of the seventeen largest states, urban and rural rates regarding full, and no immunization, as well as differentials among those two immunization indicators, across household, wealth, and gender of the child. There are large inter-state variations in levels, and inequalities in full, and no immunization. And, on average, states in the north perform worse than do southern states. The relationship across states between levels and wealth inequalities, appear to follow a non-linear pattern: at one end of the spectrum, where system failure is high, wealth inequalities are low, suggesting that all children are deprived, regardless of household wealth. Initial improvements appear to be concentrated among wealthier households, and inequalities are high. At the other end of the spectrum, once performance has reached a critically good level, there is increasing access for, and use by the poor, and inequalities are, once again, low. Gender differentials are spread through most states, regardless of overall immunization levels, or wealth inequalities. While gender differentials reflect deep-seated societal factors, rather than health system issues per se, still there are steps the health system can take to improve immunization among girls.
Decentralized Control of Mobile Robotic Sensors for a Smooth Sweep Coverage along an Arbitrary Boundary

This paper addresses the decentralized control of mobile robotic sensors performing sweep coverage along an arbitrary boundary. Current sweep coverage control does not exhibit a smooth trajectory for a mobile robotic sensor when following an abrupt change in the direction of an arbitrary boundary. Simulation results of the recent sweep coverage problem reveal that the control needs to be more sensitive for some of the mobile robotic sensor(s) after the detection of an arbitrary boundary. The goal is to attain a smooth sweep coverage along an arbitrary boundary by a swarm of mobile robots which are driven under decentralised control strategy. We introduce normalised weighting factors as part of the mobile robotic sensors consensus to calculate nearest neighbour rules. Current simulation results demonstrate that the weighted average functions to calculate nearest neighbour rules give rise to a smooth sweeping trajectory for each mobile robot detecting an arbitrary boundary. The concept of these weighted average functions also make some of the mobile robotic sensor(s) more sensitive in following an abrupt change in the direction of an arbitrary boundary.
Comprehensive PM2.5 Organic Molecular Composition and Stable Carbon Isotope Ratios at Sonla, Vietnam: Fingerprint of Biomass Burning Components

This study presents measurements of aerosol chemical properties at Sonla, northern Vietnam (675 m a.s.l.) during spring time, when biomass burning (BB) was very active in the northern Indochina Peninsula, as part of the 7-SEAS (Seven South East Asian Studies) campaign in 2013. The gas chromatography-mass spectrometry (GC-MS) analysis of BB markers in 14 selected samples indicated that mixed softwood, hardwood, grass, and non-woody vegetation were burned. More than 50 organic compounds including levoglucosan, lignin and resin products, sugar and sugar alcohol compounds, fatty acids, phthalate esters, aromatic acids, poly-acids, and biogenic oxidation products (e.g., 2-methyltetrols, alkene triols, 3-hydroxyglutaric acid) were measured in PM_(2.5). Levoglucosan, a BB tracer, was the predominant species among aerosol sugars, with an average concentration of 1.62 ± 0.89 μg m^(-3), comprising 2.23 ± 0.5% of PM_(2.5) mass. For the collection period of the selected samples, backward air mass trajectories were classified into the source regions of Indochina (BBIC), southern China (BBSC), and the South China Sea (BBSS). All resolved molecular compounds show their dominance on the trajectory from BBIC, verifying the BB smoke origin of that region. Trajectory classification provides additional information, such as higher level of diethyl phthalate associated with BBSC trajectory, revealing urban or industrial influence, and more low-molecular-weight than high-molecular-weight fatty acids, indicating distributions with more microbial and lesser plant wax/vegetation burning contributions along the BBSC trajectory. In addition, we report, for the first time, stable carbon isotopic data (δ^(13)C) for PM_(2.5) aerosols in northern Vietnam, which ranged from -26.6 to -25.4 per mille in PM_(2.5), indicating contributions from burning of C_3 plants and fossil fuel combustion.
Phase Corrected ICA for Uplink Massive MIMO

Channel state information (CSI) is fundamental to the performance of massive multiple-input multiple-output systems. However, systems that rely on pilots for the CSI estimation are susceptible to pilot contamination, as neighboring cells may reuse the same pilot sequences. Independent component analysis (ICA) has been widely used in recent studies to perform blind decoding, in order to circumvent the effects of pilot contamination. In this letter, we introduce a modified version of fastICA, the phase corrected ICA that reduces phase rotation on the estimated constellations, and thus, results in better performance of blind receivers. Through simulations, we show that our method significantly reduces symbol error rates compared to standard ICA based methods. Furthermore, we show that the increase in complexity is small at high signal-to-noise rate.
Counterstereotypic Exemplars in Context: Evidence for Intracategory Differentiation using Implicit Measures

Most of the implicit attitude literature of the past 15 years has focused on people's automatized attitudes toward broad social categories, especially those pertaining to stigmatized outgroups (e.g., Blacks). In the present research, we examined implicit attitudes toward the individuals who belong to those social categories. In particular, we used implicit as well as explicit measures in order to understand the dynamics by which people make meaningful distinctions among the members of the outgroup (i.e., intracategory differentiation), and to understand those aspects of the social context that might moderate people's ability to make these distinctions. Findings showed that participants' ability to distinguish between a highly successful Black executive and another anonymous Black male systematically varied as a function of whether interracial (White-Black) distinctions were salient or not. However, the nature of these effects depended on whether impressions were assessed using implicit or explicit attitud.