Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of cervical cancer prevention plan in a remote rural area in Bolivia

Objectives: Evaluate the cervical cancer prevention programme in Roboré as an example of a remote rural area of Bolivia, and identify its main strengths and weaknesses in order to formulate recommendations. Materials and methods: Cross-sectional descriptive study using a combination of methods: analysis of indicators related to screening coverage, treatment opportunities, and vaccination coverage during 2018 and 2019; questionnaire to users of the screening programme on their knowledge, attitudes and practices; questionnaire to professionals involved in the screening programme about the strengths and weaknesses of the programme. Results: Screening coverage was low (41-46%) in the last 2 years, as was the opportunity for treatment (13-16.7%). Vaccine coverage was high (92-98%). After interviewing 82 users, it was shown that a greater knowledge of cervical cancer is associated with a higher level of education and a higher frequency of cytologies. Women have a positive attitude towards vaccination despite poor knowledge of human papillomavirus (HPV) and the vaccine. Health professionals report having committed but limited staff, lack of infrastructure and the need to increase awareness campaigns. Conclusions: We recommend increasing the number of awareness campaigns and mobile screening strategies, having separate offices to carry out cytologies, increasing the staff in charge of the programme and improving the follow-up of women.
Development of a single-kernel wheat characterization system

A single-kernel wheat crushing device was developed to determine crush force, moisture, and size characteristics at a rate of approximately 180 kernels/min. A procedure for determining hardness of single kernels was developed with corrections for the effects of kernel moisture and size on the crush force profile. Single-kernel moisture measurement comparisons with bulk oven moisture measurements were satisfactory. Average kernel size measurements were highly correlated with average kernel weight, although a random machine interaction with single kernel size measurement was noted. Six prototypes of the rotor-crescent system were assembled for further evaluation. Tests to determine the system’s potential for wheat classification and inclusion in the official grain inspection process are under way.
DESIGN OF MINIMUM SEEPAGE-LOSS NONPOLYGONAL CANAL SECTIONS

Analytical solutions exist for the problem of determination of seepage loss from polygonal sections such as a triangle, a rectangle, and a trapezoid. In this investigation, seepage from circular and exponential sections has been calculated by a finite-difference-based numerical solution of the differential equation governing the seepage flow. The phreatic boundaries of the flow domain were described in terms of two parameters that are estimated by a minimization process. Such seepage computations were performed for a large number of independent dimensionless variables of the section geometry. Subjecting the computed seepage to regression analyses explicit equations for seepage loss from canals having circular and exponential cross sections have been obtained. Using these seepage-loss equations, the design variables for minimum seepage loss of circular and exponential canal sections have been obtained. The use of the design equations has been illustrated by design examples.
Identification and molecular characterization of groundnut leaf miner in Uganda

Although the leaf miner attacking groundnut in Africa has been widely reported as Aproaerema modicella (Deventer), a common groundnut (Arachis hypogaea L.) and soya bean (Glycine max (L.) Merr. ), a Pest in Indo-Asian countries, a proper taxonomic identification of the pest has not been completed. A survey for species diversity of the pest was conducted on groundnut, the common host crops for leafminer species in Uganda, across 100 groundnuts farmers’ fields in four agro ecological zones during the 2016-2017 growing season. 80 specimens comprising 40 larvae, 25 pupae and 15 moths of what was thought to be A. modicella (all from groundnut) were collected from the ten survey sites, and their mitochondrial DNA (mtDNA) COI were sequenced and compared with those from the BOLD gene bank. Infestation by GLM was observed on all groundnut fields sampled with Eastern Uganda being the hot ecological spot especially Namutumba district. The mtDNA COI from all specimens of the pest, matched 100% with the sequences in BOLD belonging to Aproaerema simplexella PS1, a species occurring in Australia, and known as the soya bean moth in that country. There was very little genetic diversity between and within the populations from the ten sites, which suggested that the populations were maternally of the same origin. Conclusively, this study like other studies elsewhere in Africa confirm to the fact that the leafminer attacking groundnuts and other crops such as soya bean was A. simplexella PS1 (100% match on the BOLD system), native to Australia, which suggested that Australia may be the origin of the pest not Indo-Asian countries. Keywords— Arachis hypogaea, Aproaerema modicella, mitochondrial DNA.
The status of maintenance management in Swedish manufacturing firms

Presents a model of five linked maintenance management components (strategy, human aspects, support mechanisms, tools/techniques and organization). Analyses the present status of these components in Swedish manufacturing firms through a survey of 284 respondents. Shows that fewer than half have written maintenance strategies or computerized maintenance information systems and several give maintenance low status. The figures are lowest in small firms and in the timber industry. Preventive maintenance at fixed intervals and corrective maintenance are the most common maintenance techniques. However, condition monitoring is common in large paper and chemical firms. Also indicates that Swedish firms have not fully made maintenance a company‐wide issue, and that centralized maintenance departments dominate resources in large firms, but outsourcing has become important in small firms. Many of these figures are considered not to be optimal, but the average firm should be able to improve.
Numerical Study of Buoyancy-Driven Oil Cluster Jumping in Porous Media by a Dynamic Pore-Network Model

Buoyancy-driven oil cluster jumping in porous media is studied by a dynamic pore-network model in relation to secondary oil migration. The model has two novel aspects. First, inertia of fluid and surface roughness of throat are taken into account in simulating the jumping process. Second, a probability technique is proposed to let the model allow a longer time step. The numerical results indicate that the dynamic process of buoyancy-driven cluster jumping is caused not only by porous media heterogeneity, but also by fluid inertia and throat surface roughness. Pressure field characteristics in jumping are studied and a cluster-based pressure solving technique is proposed to reduce the computational demanding of pressure solving. Some statistical characteristics, include cluster size distribution and residual oil saturation, are also studied.
Process Analysis of Laser Beam Cladding

The technology of laser beam cladding of metals by single-step powder delivery is analyzed with a process model which is based on balance equations of energy and mass. Effects like powder heating, clad layer formation, substrate dilution and overlapping of tracks are discussed in dependence of the process parameters. In particular, the powder catchment efficiency and the beam energy redistribution in the material can be optimized by the powder mass flow rate and by the geometrical properties of the beam and of the powder jet.
Modeling the Potential Impacts of Climate Change on a Small Watershed in Labrador, Canada

Hydroelectric power producers are strongly dependent on the climate to deliver the fuel necessary to generate electricity. This fuel source is watershed runoff, which is manifested as the balance between components of the climate system, primarily precipitation and evapotranspiration. Climate change threatens to alter global hydrological regimes and impacts need to be assessed to determine production vulnerabilities and opportunities. In this paper, dynamically downscaled regional climate models from the North American Regional Climate Change Assessment Program (NARCCAP) are combined with statistical bias correction techniques to generate 30-year time series of temperature and precipitation for a base period (1980s) and a future period (2050s). These time series are transformed into streamflow using the WATFLOOD hydrological model that has been calibrated for a sub-basin of the Churchill River. Results are consistent with IPCC results and show increasing mean annual streamflow of approximately 9% between the base and future periods with larger increases in winter runoff and little or no change during late summer and fall. Inter-model comparison and probabilistic methods are used to provide further insight into simulation results.
Spatial analysis of urban stormwater quality: Ramallah district as a case study, Palestine

Urban runoff pollution sources are formidable obstacles to achieving water source goals in numerous municipalities. Ramallah district currently holds one of the highest rates of urbanization in Palestine causing a significant increase in surface runoff. Consequently, this causes increased flooding and a significant decrease in water quality due primarily to the accumulation of pollutants. To date, most research has focused on specifying temporal variations of stormwater quality parameters that include high uncertainties and also increase the risk of pollution control structures' failure. Spatial variations of the runoff quality are the key factor in nonpoint source pollution studies. This research investigates the spatial variability of urban runoff quality parameters in relation to land use of urban catchments. The research estimated pollutant concentration for improved and efficient design of pollution control structures for each land use.
Therapeutic Potential of Palm Wine on Selected Diarrhoeagenic Bacteria

Palm wine is an alcoholic beverage produced by natural fermentation of sap of various palms, which include Elaeis guineensis, Raphia regalis, Raphia sudanica, Raphia vinifera, Raphia hookeri and Borassus aethiopum[1]. The unfermented sap is a clean, sweet, colourless syrup. It is a refreshing beverage widely consumed in Southern Nigeria and other parts of the world particularly Asia and Southern America [2]. Although palm wine may be presented in a variety of flavours, ranging from sweet (unfermented) to sour (fermented) and vinegary, however, it is mostly enjoyed when sweet [3].
A 5.2‐GHz low‐power low‐noise amplifier using inGaP‐GaAs HBT technology

A 5.2‐GHz monolithic low‐power low‐noise amplifier (LNA) with a quasi‐cascode configuration using InGaP‐GaAs HBT technology is reported for the first time. A state‐of‐the‐art noise figure of 2.39 dB at 5.2 GHz is obtained among all bipolar LNAs with a fully on‐chip input‐matching network. The input return loss is −32 dB with a voltage gain of 27 dB at 5.2 GHz. An input 1‐dB compression point (P1dB) and an input 3rd‐order intercept point (IIP3) of −14 and −5 dBm are also achieved, respectively. This circuit consumes only small dc power of 6 mW. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 425–427, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20843
Eco-Affectionate Face of Microbial Fuel Cells

Human population growth has led to accumulation of large amount and variety of wastes, which take many decades to degrade and also release toxicity during degradation. A sustainable solution is required to treat these wastes to prevent our future population from environmental hazards. Recently, microbial fuel cell (MFC) technology has emerged as a potentially promising future technology for the production of energy from organic material present in wastewaters, thus ensuring dual benefits: waste treatment and energy production. In the present review the authors discuss the wider aura of wastewater treatment capabilities of MFCs and their future challenges to overcome to explore the opportunities for future MFCs.
A magneto-rheological fluid-elastomer vibration isolator

A magneto-rheological (MR) fluid-elastomer vibration isolator is constructed by encapsulating a MR fluid inside an elastomer. The structural properties of this system are controllable by an applied magnetic field. Previous studies have shown that the damping capacity of this MR fluid-elastomer vibration isolator is a function of strain amplitude and field strength, and weakly dependent on the excitation frequency. The energy-dissipated mode, subjected to a magnetic field during oscillatory motion, is similar to a combined viscous and frictional damping. In this paper, a mechanical model is presented to account for the dynamic behavior of the MR fluid-elastomer vibration isolators under oscillatory compressive deformations. This model is a two-element analogy comprised of a variable friction damper and a nonlinear spring. The parameters of the model have been identified by a series of harmonic loading tests. The theoretical and experimental results are in excellent agreement.
Cloud data Search and verification using Order Preserving Encryption

Cloud Storage system stores the huge quantity of data in their servers. In the present system, the data owner must upload the files in the cloud server and view all the data. If data owner can modify the any data, then Third party Arbitrary (TPAR) identify the modified or missing data. If there is no change in the data stored in the cloud, then TPA will produce the verification report to the data owner. Otherwise, if TPA found that any change in the data then TPAR is called for providing the report to the owner. In case if any outer people got the permission credentials of the data owner then providing the security for the data owners files is a difficult task because the possibility for the modification of the data is very high. So, reducing this modification chance is a very important issue in these days. So, for protecting the data stored in the cloud servers here, we introduced an order preserving Encryption (OPE) scheme. In this paper, the data owner cannot view all the files uploaded by him directly. By using the keyword only, the data owner can view the files related to the searched keyword. By this, if anyone enters into data owners account, he/she unable to view the files. They can view the files only after searching the particular keywords. With this proposed system, we maintain security for the owner’s data.
AlxGa1−xN Ultraviolet Avalanche Photodiodes With Avalanche Gain Greater Than  $10^{5}$

Ultraviolet (UV) avalanche photodiodes (APDs) based on Al<sub>x</sub>Ga<sub>1-x</sub>N wide-bandgap semiconductor alloys (x = 0.05) are reported. The epitaxial structure was grown by metalorganic chemical vapor deposition on a GaN substrate having a low dislocation density. Step graded n-type Si-doped Al<sub>x</sub>Ga<sub>1-x</sub>N layers (x = 0 and 0.02) were introduced instead of a thick n-Al<sub>0.05</sub>Ga<sub>0.95</sub>N:Si layer to minimize strain-induced defects and crack formation, resulting in reduced leakage current densities of the devices with various circular mesa diameters. Under UV illumination at λ = 280 nm, high avalanche gains greater than 1.5 × 10<sup>5</sup> were achieved at reverse biases of V<sub>R</sub> 94 V for the APDs with mesa diameters of 30-70 μm. In addition, significantly increased spectral responsivities of devices having a 70-μm mesa diameter was observed at reverse biases of V<sub>R</sub> > 90 V, indicating the device approaches to avalanche multiplication.
Nonlinear microwave response of aluminum weak-link Josephson oscillators

We present the driven response at T=30 mK of 6 GHz superconducting resonators constructed from capacitively-shunted three-dimensional (3D) aluminum nanobridge superconducting quantum interference devices (nanoSQUIDs). We observe flux modulation of the resonant frequency in quantitative agreement with numerical calculation and characteristic of near-ideal short weak-link junctions. Under strong microwave excitation, we observe stable bifurcation in devices with coupled quality factor (Q) ranging from 30–3500. Near this bias point, parametric amplification with >20 dB gain, 40 MHz bandwidth, and near quantum-limited noise performance is observed. Our results indicate that 3D nanobridge junctions are attractive circuit elements to realize quantum bits.
Scenarios and strategies for Web 2.0

Purpose – The aim of this article is to bring together ideas from the authors' review of the Web 2.0 literature, the data and their insights from this and other technology‐related projects to produce a framework for strategies on Web 2.0 focusing on the implications for human resource professionals.Design/methodology/approach – The authors discuss organisational design as a socio‐technical system, which depends on the interaction between people, work organisation and technical systems for its effectiveness.Findings – The article sets out four scenarios on the use of traditional and new social technologies intended to enhance collaboration and give employees voice in matters that affect them at work. In doing so, it shows how Web 2.0 can alter the choices available to employees and organisations to collaborate and exercise their respective voices. It is in this sense the authors argue that these technologies have the potential to transform the business model.Practical implications – There is a potential tr.
Three-Dimensional Mathematical Models of the BioRID I and Car Seats, for Low-Speed Rear-End Impacts

For low-speed rear-end impact tests, the recently developed Biofidelic Rear Impact Dummy (BioRID) is more human-like compared to the Hybrid III. In the current study, three-dimensional mathematical Multi Body System models in MADYMO of the BioRID I and of four car seats were developed and validated. A sensitivity analysis was designed to verify the stability of the mathematical models, and showed that among the dummy parameters that influenced the BioRID I performance, the curvature of the thoracic and cervical spine had the highest influence. Among the seat parameters, the recliner characteristic and the head-restraint position had the most influence on the BioRID I performance. The MADYMO BioRID I is a useful tool for parameter studies in crash-safety research and development. An advantage of the models is their similarity to mechanical counterparts, which allows comparison with crash tests.
Morpho-phenological characterization of grape (Vitis vinifera L.) germplasm grown in northern zones of Punjab, Pakistan

This endeavor includes thirty grapes’ genotypes grown in northern zones of Punjab, Pakistan to determine similarities and dissimilarities in forty-four morphological traits according to the descriptor “International Plant Genetic Resources Institute (IPGRI)”. The relation between the genotypes was determined by principal component analysis (PCA), and similarity was worked out by using cluster analysis. The dendrogram divided the genotypes into two main groups with classes and subclasses. The variation present within the class was up to 81.72% while the difference between classes was 18.28%. The morphological quantitative traits such as bunch length, bunch width, bunch weight, peduncle length, the weight of 10 berries, number of berry in a bunch, berry length, and berry width were in the following range 27.50-11 cm, 13.75-5 cm, 583.56-77.70 g, 6.50-1.55 cm, 53.70-9.70 g, 354-28, 27.37-11.40 mm and 18.06-10.41 mm respectively, which indicated a wide level of diversity in the selected genotypes. Based on phenological attributes, “Regina”, “Perlet”, and “Early White” were found early maturing genotypes to prevent berry rotting due to monsoon rains at the final stage of ripening. The data generated in this study would be helpful to preserve the existing germplasm and be available for designing future breeding programs.
A Wavelet-based, Distortion Energy Approach to Structural Health Monitoring

A method for quantifying damage-induced distortions to the vibrational response of an experimental plate is presented. By examining a wavelet representation of the difference in strain response between the damaged and the undamaged structures, the distortion energy may be computed on multiple timescales. This feature is tested in its ability to detect both the presence and the location of degradation of the plate. In addition, the effects of competing excitation mechanisms, including the outputs of Lorenz and Rossler systems, as well as a 0-225 Hz Gaussian noise are studied. The results indicate that the distortion energies, statistically speaking, are significantly higher under damaged conditions compared to those extracted under undamaged conditions, implying that the new distortion energy approach will yield adequate features for detecting the presence as well as possibly the location of damage in a structure.
An Analysis of Teleoperator Performance in Conditions of Display-Control Misalignments With and Without Movement Cues

During robot teleoperations, misalignments occur when the coordinates of the manipulated end effector viewed through a remote camera are incongruent with the fixed coordinates at the hand controller. Such display-control misalignments are frequently encountered in present-day manually controlled robotic systems, such as space station manipulators or mobile manipulators for military operations and surgical robots with which the remote worksite is viewed from an exocentric camera. Misalignments are known to degrade operator performance and thus far have been dealt with by extensive operator training or by system-specific compensatory algorithms. The results presented demonstrate that the time to produce translational and rotational movements on an end effector viewed through an exocentric camera varies significantly with misalignment and follows patterns similar to those found in mental rotation studies of misaligned shapes. The authors show that overlaying color-coded augmented-reality movement cues on the end effector and mapping them to a color-coded hand controller significantly shorten the processing time required to translate or rotate a misaligned end effector across a range of angular misalignments. Furthermore, the cues make response times invariant to misalignment for both translational and rotational movements. Although these cues were intended for space station manipulators, their application in other teleoperation platforms, such as surgical robots or remote ground vehicles, is possible.
An integrated clustering and Bayesian approach to investigate the severity of pedestrian collisions at highway-railway grade crossings collisions

Abstract This study aims at developing a solid understanding of the contributing factors to pedestrian fatal and injury collisions at highway-railway grade crossings (HRGC), along with the impact of different warning devices that are commonly used at HRGCs. The study utilized integrated Machine Learning and Bayesian models to analyze the United States HRGC collision using the Federal Railroad Administration database between 2009 and 2018. The results demonstrate the association between different factors and the collision severity in each cluster and attempt to explain the inconsistency associated with the impact of some factors, such as weather conditions and pedestrian traits, on collision severity. The results also highlighted the conditions at which the different types of countermeasures and warning devices are most effective and the circumstances that limit their benefits. The results confirmed the benefits of the proposed analysis approach, in which collision data are classified into a group of clusters first before investigating the impact of the different factors on collision severity. The results wills support engineers and planners to develop specific policies and designs that aim at mitigating severe collisions at HRGCs and enhance pedestrian safety.