Miracle-dz/UniFAR-FTUs huggingface dataset:
Global analysis of the apple fruit microbiome: are all apples the same?

Summary We present the first worldwide study on the apple (Malus × domestica) fruit microbiome that examines questions regarding the composition and the assembly of microbial communities on and in apple fruit. Results revealed that the composition and structure of the fungal and bacterial communities associated with apple fruit vary and are highly dependent on geographical location. The study also confirmed that the spatial variation in the fungal and bacterial composition of different fruit tissues exists at a global level. Fungal diversity varied significantly in fruit harvested in different geographical locations and suggests a potential link between location and the type and rate of postharvest diseases that develop in each country. The global core microbiome of apple fruit was represented by several beneficial microbial taxa and accounted for a large fraction of the fruit microbial community. The study provides foundational information about the apple fruit microbiome that can be utilized for the development of novel approaches for the management of fruit quality and safety, as well as for reducing losses due to the establishment and proliferation of postharvest pathogens. It also lays the groundwork for studying the complex microbial interactions that occur on apple fruit surfaces.
DRILL-STRING DYNAMICS WITH UNCERTAINTY IN THE BIT-ROCK NONLINEAR INTERACTION MODEL

The stochastic dynamics of a drill-string is analyzed, where the uncertainty is in the bit-rock nonlinear interaction model. The Maximum Entropy Principle is used to construct a probabilistic model for the nonlinear operator related to the bit-rock interaction model. A numerical model is developed using the Timoshenko beam theory and it is discretized by means of the Finite Element Method. The nonlinear dynamics analyzed considers the main e ﬀ orts that the column is subjected to as, for instance, imposed rotation at the top, ﬂuid-structure interaction, impact between the column and the borehole, and ﬁnite strains (what couples axial, torsional and lateral vibrations).
Adversarial Domain Adaptation for Sensor Networks

With the recent surge of big data, manually annotating datasets has become an impossible task. As a result, domain adaptation has gained more importance than ever, since it allows the transfer of knowledge from a labeled dataset to an unlabeled one. That is even truer for sensor networks, where the domain shifts between different sensors are usually substantial and models developed with a set of source sensors fail to generalize well to new target sensors. Adversarial neural networks, which were introduced in 2014 in the scope of generative adversarial neural networks, are a promising tool to address the domain adaptation problem. Despite being a recent idea, adversarial networks have already led to tremendous progress in multiple areas of the field. In this dissertation, we propose new adversarial domain adaptation models, specifically tuned for sensor networks, that make use of Long short-term memory (LSTM) networks, both for discriminating between source and target domains and for performing the learning task. The fact that we take the temporal nature of the data into account by using an LSTM network for the discriminating task is a novel idea. We evaluate the performance of our models and compare them with other methods by conducting extensive experiments that demonstrate their robustness and value. In particular, DoubleLSTM, a model proposed by us, showed an average improvement of 27% for the Mean Absolute Error (MAE) on an object counting task, when compared to other state-of-art models. Besides the proposed models, we include a survey of domain adaptation methods. Additionally, we also discuss several open lines of research in the field of adversarial domain adaptation that can serve as a guide for future work in this area.
FINGERPRINTING AND DETECTING OF CLOSELY RELATED CUCUMBER (CUCUMIS SATIVUS L.) GENOTYPES USING APPLICATION OF ISSR MARKERS

This research was conducted in molecular laboratory of college of education for girls-Kufa university. ISSR (Inter Simple Sequence Repeat) markers were used to evaluate the genetic relationships among six genotypes of cucumber (Cucumis sativus L.) cultivated in Iraq. This study was conducted for fingerprinting ten Iraqi cucumber genotypes using ten ISSR markers; products of ISSR markers amplification produced 67 polymorphic bands out of 106. The ISSR primers UBC-807, UBC-835 and UBC-872 success in giving a unique fingerprint for most studied genotypes. The results revealed that ISSR markers could be efficiently applied to quickly access for genetic variation available in the cucumber germplasm. The information on genetic similarity among genotypes will be useful for selecting the accessions to establish a germplasm bank of cucumber landraces and to develop breeding programs.
A comparison between the effect of LASER and WATER BATH on heat-cured acrylic denture base material vitro study

Curing stage by utilizing Water Bath (W.B.) one of the stages of making a denture, in this investigation, we assess the influence of utilizing W.B. and diode laser light of frequency (1064nm) with force 50mW on samples of heat-curing acrylic (PMMA) on transverse strength of this material. We utilized a sample with dimension (8x 0.8x0.3) cm. 40 samples utilized in this investigation, 20 illuminated by laser with deferent span time of light, and the staying 20 samples prepared by regular W.B. procedure. We estimated the samples' dimension when prepared by the two procedures. From a correlation on the influence of these two procedures on the quality of the samples by utilizing t-test, we reason that the samples that illuminated with laser become more quality and when we increment the term time (p>1), while there are no concedes between the samples that rewarded with ordinary W.B. (p>0.05). We presumed that utilizing laser be more accomplishment in improving the quality of heat-curing acrylic material that utilized for denture base.
Awareness about Eye Donation among Medical Students

To assess the awareness about eye donation among undergraduate medical students. A cross-sectional descriptive study was carried out among 400 medical students studying in a tertiary medical college/hospital located in Tamil Nadu. The study tool used was a semi-structured google form questionnaire designed for assessing the awareness about eye donation among medical students. It was observed that the majority of the students (99.4%) of the students were aware of eye donation. Media has been the primary source for this awareness. The cornea is the part of the eye used for transplantation, and only 238(59.6%) knew about this The identity of the donor. The recipient will be kept confidential, and also the donors family will not be charged any money for the donation, but only 54% of the students were aware of this fact. Though the awareness was high, only 206(51.60%) were willing to pledge their eyes for donation. The study highlights the importance of educating medical students about eye donation as they play a significant role in helping the public in clarifying misconceptions and also increase the eye donation rates. The importance of consent over the telephone has also been emphasized in this study. Media can be used as a powerful tool in creating appropriate advertisements through television, newspapers, billboards and social media, which will be helpful.
Crowdsource Drone Imagery – A Powerful Source for the 3D Documentation of Cultural Heritage at Risk

ABSTRACT Heritage at risk is a terminology used to describe the sites that are highly at risk of being lost as a result of intentional demolition, deterioration, negligence or subject to improper preservation or mistreatment. Iraq is one of the countries that suffered in the last decade from intentional demolition of highly valuable heritage sites and objects. As Iraq gradually recovering from wars and violence with limited resources and budgets, historical and heritage places are still at risk because of neglect, community ignorance, insufficient planning, and military actions. Therefore, in this paper, we propose the idea of using crowdsource drone images and videos which are captured by amateurs for the documentation of heritage sites. Those crowdsource images represent a great source of data that does not require significant financial and hard labor resources. It should be noted that there is no guarantee to have the captured data being sufficient for the 3D documentation and therefore it is proposed to integrate, when possible, multiple captured crowdsource data to ensure complete documentation. In this paper, three Iraqi historical sites are 3D reconstructed using crowdsource drone videos, namely: Rabban Hormizd Monastery (AD 640), Taq Kasra (AD 242 to 272), and the Great Mosque of Samarra (AD 849–851). The experiments showed a successful 3D modeling of the three mentioned heritage objects using the crowdsource drone video images despite being captured for non-3D purposes which require high expertise and planning. With the absence of highly accurate reference data, the overall relative accuracy of the object’s dimensions is found to be less than 1 m.
Nanoscopic aspects of electronic aging in dielectrics

This paper presents nanoscopic aspects of electronic aging in dielectrics, as the result of the interaction of excess non-thermalized carriers with the media. Hot electrons are hypothesized as the major source of non-thermal carriers and shown to be a decisive factor in electrical breakdown. The interaction of hot electrons with atomic and molecular solids forming dielectric films is investigated using high-resolution monochromatic electron beam and cryogenic techniques. In these experiments, electrons of a well-defined energy impinge on a dielectric nanometer-thick film grown at cryogenic temperatures in an ultra-high vacuum system. It is possible to observe directly the species created at specific energies by hot (i.e. low-energy) electrons within the range 0 to 20 eV; including highly reactive radicals, positive and negative ions and excited atoms and molecules, as well as the new compounds that result from non-thermal reactions. Energy losses to electronic, vibrational and phonon excitation also can be measured as a function of electron energy. The results of these experiments are reviewed. They serve to explain the creation of local defects, which then can act as inter- and intramolecular (or atomic) traps for electrons and holes in inhomogeneous media. This nanoscale information also allows one to identify the effects of the polaron and that of cumulative material damage and increases in leakage currents, observed on the macroscopic scale. More particularly, it is shown from the results of low-energy electron bombardment of slices of PE HV cables, that simpler molecular solids such as n-alkane films provide insight on the effect of 'hot' electrons in commercial insulating material. Recommendations are given for further research necessary to represent the evolution of the aging process in practical macroscopic materials of interest at the engineering level.
Prodigy: Improving the Memory Latency of Data-Indirect Irregular Workloads Using Hardware-Software Co-Design

Irregular workloads are typically bottlenecked by the memory system. These workloads often use sparse data representations, e.g., compressed sparse row/column (CSR/CSC), to conserve space at the cost of complicated, irregular traversals. Such traversals access large volumes of data and offer little locality for caches and conventional prefetchers to exploit. This paper presents Prodigy, a low-cost hardware-software codesign solution for intelligent prefetching to improve the memory latency of several important irregular workloads. Prodigy targets irregular workloads including graph analytics, sparse linear algebra, and fluid mechanics that exhibit two specific types of data-dependent memory access patterns. Prodigy adopts a “best of both worlds” approach by using static program information from software, and dynamic run-time information from hardware. The core of the system is the Data Indirection Graph (DIG)—a proposed compact representation used to express program semantics such as the layout and memory access patterns of key data structures. The DIG representation is agnostic to a particular data structure format and is demonstrated to work with several sparse formats including CSR and CSC. Program semantics are automatically captured with a compiler pass, encoded as a DIG, and inserted into the application binary. The DIG is then used to program a low-cost hardware prefetcher to fetch data according to an irregular algorithm’s data structure traversal pattern. We equip the prefetcher with a flexible prefetching algorithm that maintains timeliness by dynamically adapting its prefetch distance to an application’s execution pace. We evaluate the performance, energy consumption, and transistor cost of Prodigy using a variety of algorithms from the GAP, HPCG, and NAS benchmark suites. We compare the performance of Prodigy against a non-prefetching baseline as well as state-of-the-art prefetchers. We show that by using just 0.8KB of storage, Prodigy outperforms a non-prefetching baseline by $2.6 \times$ and saves energy by $1.6 \times$, on average. Prodigy also outperforms modern data prefetchers by $1.5- 2.3 \times$.
Authors response to referee comments

The prediction of near-surface ozone concentrations is important to support regulatory procedures for the protection of humans from high exposure to air pollution. In this study, we introduce a data-driven forecasting model named ‘IntelliO3-ts‘, which consists of multiple convolutional neural layers (CNN), grouped together as inception blocks. The model is trained with measured multi-year ozone and nitrogen oxides concentrations of more than 300 German measurement stations in rural 5 environments, and six meteorological variables from the meteorological COSMO reanalysis. This is by far the most extensive dataset used for time series predictions based on neural networks so far. IntelliO3-ts allows predicting daily maximum 8-hour average (dma8eu) ozone concentrations for a lead time of up to four days, and we show that the model outperforms standard reference models like persistence. Moreover, we demonstrate that IntelliO3-ts outperforms climatological reference models for the first two days, while it does not add any genuine value for longer lead times. We attribute this to the limited deterministic 10 information that is contained in the single station time series training data. We applied a bootstrapping technique to analyse the influence of different input variables and found, that the previous day ozone concentrations are of major importance, followed by 2m temperature. As we did not use any geographic information to train IntelliO3-ts in its current version and included no relation between stations, the influence of the horizontal wind components on the model performance is minimal. We expect that the inclusion of advection-diffusion terms in the model could improve results in future versions of our model. 15
Flexible Work and Self-management Employee and Employer Expectations in a Changing Work Environment

Tampereen ammattikorkeakoulu Tampere University of Applied Sciences Degree Programme in International Business SEPPÄLÄ, ANNIINA: Flexible Work and Self-management Employee and Employer Expectations in a Changing Work Environment Bachelor’s thesis 84 pages, appendices 6 pages May 2019 This bachelor’s thesis was commissioned by an organization, that runs business in banking and insurance sector. The commissioner is on a journey of implementing more flexible ways of work to meet the changing needs of the employees and to meet the increasing demand of the customers. The objective of this thesis was to examine the commissioner’s employees’ and managers’ hopes and expectations on flexible work and self-management and review suggestions of self-management practices, which could result in better performance and improve mutual understanding. Some of the biggest societal changes in our era have to do with the extreme development of technology. We are living in an information society, in which the diffusion of information has increased the demand for being productive and being within the reach all the time. The phenomenon has developed pressure on individuals, and on the attributes of employment. Therefore, organizations have been forced to re-create their models of operations and processes to come up with an environment which simultaneously satisfies the needs of their employees, their customers and their own aspirations. The chosen research method is qualitative due to its exploratory nature and it is closely linked with case study approach. The data was collected during May 2019 through observations and online surveys conducted for the commissioner’s employees and managers and analyzed using discourse method and qualitative comparative analysis method. These methods helped to study the characteristics and the contextual backgrounds of the case. The results are presented in a narrative form. Relying on the theoretical background, the research revealed that flexible work and telework is widely used in Finnish organizations. The research also found, that the key element in succeeding at the implementation of flexible work is trust and commitment. The process is more about changing attitudes and norms, which cannot be measured short term. Therefore, it might be challenging to recognize, whether the suggested adjustments are working or not. The process requires commitment and consistency from both parties (employer and employees) and can be supported by number of practices that help to improve mutual understanding.
Sustainable management of shoot fly in sorghum: A comprehensive review

Sorghum [Sorghum bicolor (Linnaeus)] also known as Jowar is an important food and fodder crop of dryland agriculture with wide range of adaptability to various agro-ecological conditions in the semi-arid tropics and cultivated on marginal, fragile, and drought-prone environments. Sorghum is attacked by around 150 insect pest damage from seedling stage to maturity, of which sorghum shoot fly, Atherigona soccata (Rondani) is a notorius pest which is responsible for causing a loss of 80–90% of grain, and 68% of fodder yield in sorghum due to its regular occurrence. To manage pest problem, farmers still rely on pesticides use, but excessive use of chemical has resulted many problems. Hence, integration of all these approaches in a unified manner has exposed more good results for eco-friendly management of shoot fly and consequently high yield of sorghum obtained.
Study and Analysis of Complications Connected with Implant Placement

Implant dentistry has grown to be one of the topmost earning disciplines of dentistry, and hence there is a migration of practitioners towards it. Since the last few years, here is a sudden growth in the number of dental inserts placed per year. And hence many complications that are associated with implant dentistry are on the rise. This article concentrates on some of the complications that are associated with implant placement during the operative procedure and immediate postoperative time period. Delayed complications as failure to osseointegrate and Peri Implantitis is are not discussed in this article. A proper informed consent needs to be documented. It is absolutely necessary to include complications like bleeding, swelling, post-operative infection, facial discoloration, paraesthesia, hypersensitivity, loose teeth, trismus and pain. And major complications can be defined as a complication that may need additional treatments and can cause irreversible damages. Treatment of sinusitis incorporates foundational treatment with anti-toxins, chlorhexidine mouthwashes, water systems with saline through the nasal opening, and the utilization of nasal decongestants. In the event that the disease exacerbates or an ousted embed is in the sinus, revolutionary correction medical procedure of the maxillary sinus will be required and the antral mucosa totally eliminated.
Performance evaluation of an ANN–GA aided experimental modeling and optimization procedure for enhanced synthesis of marine biosurfactant in a stirred tank reactor

BACKGROUND: An improved resilient back-propagation neural network modeling coupled with genetic algorithm aided optimization technique was employed for optimizing the process variables to maximize lipopeptide biosurfactant production by marine Bacillus circulans. RESULTS: An artificial neural network (ANN) was used to develop a non-linear model based on a 24 full factorial central composite design involving four independent parameters, agitation, aeration, temperature and pH with biosurfactant concentration as the process output. The polynomial model was optimized to maximize lipopeptide biosurfactants concentration using a genetic algorithm (GA). The ranges and levels of these critical process parameters were determined through single-factor-at-a-time experimental strategy. Improved ANN-GA modeling and optimization were performed using MATLAB v.7. 6 and the experimental design was obtained using Design Expert v.7. 0. The ANN model was developed using the advanced neural network architecture called resilient back-propagation algorithm. CONCLUSION: Process optimization for maximum production of marine microbial surfactant involving ANN-GA aided experimental modeling and optimization was successfully carried out as the predicted optimal conditions were well validated by performing actual fermentation experiments. Approximately 52% enhancement in biosurfactant concentration was achieved using the above-mentioned optimization strategy. © 2012 Society of Chemical Industry
Air Recirculation Role in the Spread of COVID-19 Onboard the Diamond Princess Cruise Ship during a Quarantine Period

The Diamond Princess cruise ship is a unique COVID-19 transmission case because of the high testing capacity and the confined environment. This exploratory study aims to raise the hypothesis regarding the role of poor ventilation systems in the spread of COVID-19 by analysing count data collected by the onboard clinic during the outbreak, and considering the deck plan and design of the air conditioning system of the ship. Observed symptomatic infection rate after day 5 (incubation period median day) of the quarantine, in cabins without previous confirmed cases are compared to that in cabins with previous confirmed cases. Accordingly, the observed symptomatic infection rate in cabins without a previously confirmed case (1.2%) was higher than for cabins with a previously confirmed case (0.8%); however, the difference was not statistically significant. In addition, age did not appear to be a confounding variable. Airborne transmission of COVID-19 through the ventilation system onboard could explain the higher than expected virus spread into cabins without previously confirmed cases during the quarantine period; thus, this study provides further potential evidence of coronavirus transmission by aerosols. Conflicting results from other studies involving the Diamond Princess outbreak are also discussed in light of our results.