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Sensors (Basel, Switzerland) Apr 2024Cloud computing has become a major component of the modern IT ecosystem. A key contributor to this has been the development of Infrastructure as a Service (IaaS)...
Cloud computing has become a major component of the modern IT ecosystem. A key contributor to this has been the development of Infrastructure as a Service (IaaS) architecture, in which users' virtual machines (VMs) are run on the service provider's physical infrastructure, making it possible to become independent of the need to purchase one's own physical machines (PMs). One of the main aspects to consider when designing such systems is achieving the optimal utilization of individual resources, such as processor, RAM, disk, and available bandwidth. In response to these challenges, the authors developed an analytical model (the ARU method) to determine the average utilization levels of the aforementioned resources. The effectiveness of the proposed analytical model was evaluated by comparing the results obtained by utilizing the model with those obtained by conducting a digital simulation of the operation of a cloud system according to the IaaS paradigm. The results show the effectiveness of the model regardless of the structure of the emerging requests, the variability of the capacity of individual resources, and the number of physical machines in the system. This translates into the applicability of the model in the design process of cloud systems.
PubMed: 38732863
DOI: 10.3390/s24092758 -
Sensors (Basel, Switzerland) Apr 2024In the modern technological era of sophisticated applications and high-quality communications, a platform of clever strategy and quickly updated systems is needed. It...
In the modern technological era of sophisticated applications and high-quality communications, a platform of clever strategy and quickly updated systems is needed. It should be capable of withstanding the fastest emerging problems like signal attenuation and hostile actions intended to harm the whole network. The main contributions of this work are the production of an OFDM system (with low cost) that can sustain high-speed communications and be easily adjusted with new integrated code while exhibiting the feasibility of implementing a transmitter-receiver system in the same DSP and demonstrating the holistic approach with the qualitative integration of such an architecture in a warfare scenario. Specifically, in this research, the point of view is toward three facts. The first is to show a method of quick self-checking the operational status of a digital signal processor (DSP) platform and then the pedagogical issues of how to fast check and implement an updated code inside DSPs through simple schematics. The second point is to present the prototype system that can easily be programmed using a graphical user interface (GUI) and can change its properties (such as the transmitted modulated sinusoids-orthogonal frequency division multiplexing subcarriers). Alongside the presentation, the measurements are presented and discussed. These were acquired with the use of an oscilloscope and spectrum analyzer. The third point is to qualitatively show the application of such a system inside a modern warfare environment and to recommend various potential system responses according to the development of such a platform of reconfigurable implemented OFDM systems. The implementation was performed for two types of systems: (1) transmitter and (2) transmitter-receiver system. Notably, the system acts quickly with a delay of about 1 msec in the case of transmitting and receiving in the same DSP, suggesting excellent future results under real conditions.
PubMed: 38732836
DOI: 10.3390/s24092732 -
Foods (Basel, Switzerland) Apr 2024Millet is a small-seeded cereal crop with big potential. There are many different cultivars of proso millet ( L.) with different characteristics, bringing forth the...
Millet is a small-seeded cereal crop with big potential. There are many different cultivars of proso millet ( L.) with different characteristics, bringing forth the issue of sorting which are important for growers, processors, and consumers. Current methods of grain cultivar detection and classification are subjective, destructive, and time-consuming. Therefore, there is a need to develop nondestructive methods for sorting the cultivars of proso millet. In this study, the feasibility of using near-infrared (NIR) hyperspectral imaging (900-1700 nm) to discriminate between different cultivars of proso millet seeds was evaluated. A total of 5000 proso millet seeds were randomly obtained and investigated from the ten most popular cultivars in the United States, namely Cerise, Cope, Earlybird, Huntsman, Minco, Plateau, Rise, Snowbird, Sunrise, and Sunup. To reduce the large dimensionality of the hyperspectral imaging, principal component analysis (PCA) was applied, and the first two principal components were used as spectral features for building the classification models because they had the largest variance. The classification performance showed prediction accuracy rates as high as 99% for classifying the different cultivars of proso millet using a Gradient tree boosting ensemble machine learning algorithm. Moreover, the classification was successfully performed using only 15 and 5 selected spectral features (wavelengths), with an accuracy of 98.14% and 97.6%, respectively. The overall results indicate that NIR hyperspectral imaging could be used as a rapid and nondestructive method for the classification of proso millet seeds.
PubMed: 38731705
DOI: 10.3390/foods13091330 -
ELife May 2024Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the...
Imputing data is a critical issue for machine learning practitioners, including in the life sciences domain, where missing clinical data is a typical situation and the reliability of the imputation is of great importance. Currently, there is no canonical approach for imputation of clinical data and widely used algorithms introduce variance in the downstream classification. Here we propose novel imputation methods based on determinantal point processes (DPP) that enhance popular techniques such as the multivariate imputation by chained equations and MissForest. Their advantages are twofold: improving the quality of the imputed data demonstrated by increased accuracy of the downstream classification and providing deterministic and reliable imputations that remove the variance from the classification results. We experimentally demonstrate the advantages of our methods by performing extensive imputations on synthetic and real clinical data. We also perform quantum hardware experiments by applying the quantum circuits for DPP sampling since such quantum algorithms provide a computational advantage with respect to classical ones. We demonstrate competitive results with up to 10 qubits for small-scale imputation tasks on a state-of-the-art IBM quantum processor. Our classical and quantum methods improve the effectiveness and robustness of clinical data prediction modeling by providing better and more reliable data imputations. These improvements can add significant value in settings demanding high precision, such as in pharmaceutical drug trials where our approach can provide higher confidence in the predictions made.
Topics: Humans; Algorithms; Machine Learning; Data Interpretation, Statistical; Reproducibility of Results
PubMed: 38722146
DOI: 10.7554/eLife.89947 -
Irish Veterinary Journal May 2024This cross-sectional study describes a survey designed to fill knowledge gaps regarding farm management practices, parlour management practices and implemented...
BACKGROUND
This cross-sectional study describes a survey designed to fill knowledge gaps regarding farm management practices, parlour management practices and implemented technologies, milking management practices, somatic cell count (SCC) control strategies, farmer demographics and attitudes around SCC management on a sample of Irish dairy farms.
RESULTS
We categorized 376 complete responses by herd size quartile and calving pattern. The average respondent herd was 131 cows with most (82.2%) operating a seasonal calving system. The median monthly bulk tank somatic cell count for seasonal calving systems was 137,000 cells/ml (range 20,000 - 1,269,000 cells/ml), 170,000 cells/ml for split-calving systems (range 46,000 - 644,000 cells/ml) and 186,000 cells/ml for 'other' herds (range 20,000 - 664,000 cells/ml). The most common parlour types were swing-over herringbones (59.1%) and herringbones with recording jars (22.2%). The average number of units across herringbone parlours was 15, 49 in rotary parlours and two boxes on automatic milking system (AMS) farms. The most common parlour technologies were in-parlour feeding systems (84.5%), automatic washers on the bulk tank (72.8%), automatic cluster removers (57.9%), and entrance or exit gates controlled from the parlour pit (52.2%). Veterinary professionals, farming colleagues and processor milk quality advisors were the most commonly utilised sources of advice for SCC management (by 76.9%, 50.0% and 39.2% of respondents respectively).
CONCLUSIONS
In this study, we successfully utilised a national survey to quantify farm management practices, parlour management practices and technology adoption levels, milking management practices, SCC control strategies and farmer demographics on 376 dairy farms in the Republic of Ireland. Rotary and AMS parlours had the most parlour technologies of any parlour type. Technology add-ons were generally less prevalent on farms with smaller herds. Despite finding areas for improvement with regard to frequency of liner changes, glove-wearing practices and engagement with bacteriology of milk samples, we also found evidence of high levels of documentation of mastitis treatments and high use of post-milking teat disinfection. We discovered that Irish dairy farmers are relatively content in their careers but face pressures regarding changes to the legislation around prudent antimicrobial use in their herds.
PubMed: 38711109
DOI: 10.1186/s13620-024-00267-y -
Heliyon May 2024In the teaching of the operating systems course, which is part of computer engineering degrees, a thorough understanding of processor scheduling algorithms is crucial....
In the teaching of the operating systems course, which is part of computer engineering degrees, a thorough understanding of processor scheduling algorithms is crucial. However, it has been identified that the current knowledge of classical algorithms is insufficient in the present context. Therefore, it is proposed to conduct a review of the state of the art in the field to identify new trends and algorithms that can enhance the teaching of the subject and improve student training. As a result, the state of the art is thoroughly reviewed, and study sheets are designed to facilitate the comprehension of the algorithms. Additionally, a software simulator is developed to compare different algorithms in a controlled environment, allowing for the validation of the most promising ones for classroom teaching.
PubMed: 38707309
DOI: 10.1016/j.heliyon.2024.e29959 -
NPJ Quantum Information 2024Correlated noise across multiple qubits poses a significant challenge for achieving scalable and fault-tolerant quantum processors. Despite recent experimental efforts...
Correlated noise across multiple qubits poses a significant challenge for achieving scalable and fault-tolerant quantum processors. Despite recent experimental efforts to quantify this noise in various qubit architectures, a comprehensive understanding of its role in qubit dynamics remains elusive. Here, we present an analytical study of the dynamics of driven qubits under spatially correlated noise, including both Markovian and non-Markovian noise. Surprisingly, we find that by operating the qubit system at low temperatures, where correlated quantum noise plays an important role, significant long-lived entanglement between qubits can be generated. Importantly, this generation process can be controlled on-demand by turning the qubit driving on and off. On the other hand, we demonstrate that by operating the system at a higher temperature, the crosstalk between qubits induced by the correlated noise is unexpectedly suppressed. We finally reveal the impact of spatio-temporally correlated 1/ noise on the decoherence rate, and how its temporal correlations restore lost entanglement. Our findings provide critical insights into not only suppressing crosstalk between qubits caused by correlated noise but also in effectively leveraging such noise as a beneficial resource for controlled entanglement generation.
PubMed: 38706554
DOI: 10.1038/s41534-024-00842-9 -
Nature May 2024Building a fault-tolerant quantum computer will require vast numbers of physical qubits. For qubit technologies based on solid-state electronic devices, integrating...
Building a fault-tolerant quantum computer will require vast numbers of physical qubits. For qubit technologies based on solid-state electronic devices, integrating millions of qubits in a single processor will require device fabrication to reach a scale comparable to that of the modern complementary metal-oxide-semiconductor (CMOS) industry. Equally important, the scale of cryogenic device testing must keep pace to enable efficient device screening and to improve statistical metrics such as qubit yield and voltage variation. Spin qubits based on electrons in Si have shown impressive control fidelities but have historically been challenged by yield and process variation. Here we present a testing process using a cryogenic 300-mm wafer prober to collect high-volume data on the performance of hundreds of industry-manufactured spin qubit devices at 1.6 K. This testing method provides fast feedback to enable optimization of the CMOS-compatible fabrication process, leading to high yield and low process variation. Using this system, we automate measurements of the operating point of spin qubits and investigate the transitions of single electrons across full wafers. We analyse the random variation in single-electron operating voltages and find that the optimized fabrication process leads to low levels of disorder at the 300-mm scale. Together, these results demonstrate the advances that can be achieved through the application of CMOS-industry techniques to the fabrication and measurement of spin qubit devices.
PubMed: 38693414
DOI: 10.1038/s41586-024-07275-6 -
Translational Animal Science 2024Cold-pressed canola expellers () are a byproduct of canola oil production obtained using the pressing method without thermal and chemical treatment. While CPCE is a...
Cold-pressed canola expellers () are a byproduct of canola oil production obtained using the pressing method without thermal and chemical treatment. While CPCE is a valuable source of dietary energy and protein in swine nutrition, the discrepancy in processing conditions leads to variability in the nutritional quality of CPCE from different sources. This study aimed to determine the chemical composition, and digestible energy () and metabolizable energy () values of CPCE when fed to growing pigs. Samples of CPCE were collected from five processing facilities across Western Canada. The physical appearance of the CPCE samples hinted at a potential quality variation. Samples were subjected to a complete chemical characterization. Variations ( < 0.05) were observed in the chemical composition, with the exception of non-phytate phosphorus, xylose, mannose, and galactose. On a g/kg dry matter basis, CPCE samples ranged as follows: ether extract from 85 to 177; crude protein () from 351 to 419; neutral detergent fiber 231 to 300; total dietary fiber from 326 to 373; glycoproteins from 30 to 76; non-starch polysaccharides from 188 to 204, non-phytate phosphorus from 5.5 to 6.4, and gross energy () in kcal/kg 5,027 to 5,635. The total glucosinolates ranged from 5.0 to 9.7 µmol/g DM. Thirty-six (36) growing barrows, with an average initial body weight of 19.2 ± 1.0 kg, were individually housed in metabolism crates and assigned to one of the six experimental diets in a completely randomized design, with six pigs per diet. The diets included a corn-soybean meal (SBM)-based basal diet (100%) and five (5) experimental diets in which 18% of the basal diet was substituted with CPCE from different producers. Pigs were fed the experimental diets for 10 d, with 5-d adaptation period, followed by a 5-d period for the total, but separate, collection of feces and urine. Significant differences ( < 0.05) among processing plants were observed in the DE and ME contents of CPCE, which averaged 3,531 and 3,172 kcal/kg DM, respectively. Differences ( < 0.05) were noted in the apparent total tract digestibility of GE, nitrogen (), as well as in the retention of DM, GE, and N in CPCE samples. In conclusion, while the chemical composition and values of DE and ME in CPCE vary among processors, the byproduct obtained through cold pressing process can be a valuable source of energy and protein for pig nutrition.
PubMed: 38685988
DOI: 10.1093/tas/txae060 -
Health Expectations : An International... Jun 2024The disclosure of deafness is complex, given the historic and on-going stigma associated with being deaf. The aim of this study was to explore how identity, stigma, and...
INTRODUCTION
The disclosure of deafness is complex, given the historic and on-going stigma associated with being deaf. The aim of this study was to explore how identity, stigma, and quality of life may be impacted when using cochlear implants (CIs) and totally implantable cochlear implants (TICIs). The physical difference between these two assistive listening devices is significant, given many CI users opt to hide their sound processor behind hair or headwear, in contrast to TICIs (an emerging technology) whereby all components are implanted internally and thus invisible.
METHODS
This qualitative study involved semistructured interviews and demographic questionnaires with 12 adult participants with more than 1 year of experience using their CI. Participants were recruited Australia-wide through community organisations that support deaf and hard-of-hearing individuals. Interview transcripts were analysed thematically, with the themes generated through an inductive process, with consensus generated through group working with three members from the research team.
RESULTS
Four major themes were identified: (1) CI challenges; (2) The importance of social and support networks; (3) Identity and disclosure and (4) Concerns about TICIs. The underlying finding was centred around the construction of deaf identity. Participant attitudes were generally categorised as 'Loud and proud', with the recognition that displaying the CI was an extension of self, something to be proud of, and a means to normalise deafness; or 'Out of sight and out of mind', which sought to minimise the visibility of deafness. While both identities differed in how deafness is disclosed, they are fundamentally related to the same ideas of self-agency and empowerment.
CONCLUSION
TICIs present a novel opportunity-the ability for CI users to control the visibility of their deafness and thus control disclosure. This study explored the impact of stigma and categorised two core identities that CI users construct. Future directions include investigating potential CI candidates, to explore if TICIs may be a facilitator to CI uptake.
PATIENT OR PUBLIC CONTRIBUTION
The semistructured interview guide was developed in consultation with adults with CIs. Feedback led to adjustments and improvement to the interview guide. In addition, F. R. has a lived experience with hearing loss, and C. Y. L. is an executive committee member for a nonprofit charity organisation that supports families that are D/deaf and hard-of-hearing.
Topics: Humans; Quality of Life; Male; Female; Cochlear Implants; Middle Aged; Deafness; Social Stigma; Adult; Qualitative Research; Australia; Aged; Interviews as Topic; Surveys and Questionnaires
PubMed: 38685588
DOI: 10.1111/hex.14060