Miracle-dz/UniFAR-FTUs huggingface dataset:
Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications

Achieving transition towards sustainable and resilient food systems is a critical issue on the current societal agenda. This study examined the potential contribution of digitalization of the food system to such transition by reviewing 76 relevant journal articles, indexed on the Scopus database, using the integrative literature review approach and descriptive content analysis with MAXQDA 2020 software. ‘Blockchain’ was the top hit among keywords and main concepts applied to the food system. The UK as a country and Europe as a continent were found to lead the scientific research on food system digitalization. Use of digital technologies such as blockchain, the Internet of Things, big-data analytics, artificial intelligence, and related information and communications technologies were identified as enablers. Traceability, sustainability, resilience to crises such as the COVID-19 pandemic, and reducing food waste were among the key benefit areas associated with digitalization for different food commodities. Challenges to practical applications related to infrastructure and cost, knowledge and skill, law and regulations, the nature of the technologies, and the nature of the food system were identified. Developing policies and regulations, supporting infrastructure development, and educating and training people could facilitate fuller digitalization of the food system.
Numerical Analysis on the Dropwise Condensation of a Binary Vapor Mixture

A numerical simulation was performed on the condensation of water and ethanol vapor mixture on a horizontal wall in a plane two-dimensional field. The analysis solves unsteady flow and heat-and-mass transfer both for liquid and vapor with the phase equilibrium condition at the interface, using FDM and boundary-fitted coordinates to track the deformation of interface. The calculation was started from a very thin smooth liquid film, and it was found that instability occurs when the film thickness reaches a certain value resulting in the formation of relatively small droplets. With the growth of the droplets, they coalesce into larger ones. Between the droplets an extremely thin liquid film exists, and the surface tension gradient sustains the droplets. With the increase of the wall subcooling the maximum droplet becomes large due to the increase of the Marangoni effect.
Project control mechanisms in non-project-based organisations in Asia

This study investigates the contingency between project type and project control mechanisms for projects done in non-project-based organisations in Asia. Seven case studies were conducted in China and Nepal, where project managers were repeatedly interviewed. An interpretivistic investigation using semi-structured interviews and qualitative analysis was conducted. Four project types (depending on clearness of goals and methods) and their distinct organisational control mechanisms (bureaucratic behaviour, bureaucratic output, clan and self control) were identified, showing a contingency between type of project and control mechanisms employed. Furthermore, the application of control tools within control mechanisms was investigated. Results showed variance across project type. The study results have implications for the staffing of projects, reward systems and the level of authority granted to project managers.
Neurofuzzy and fuzzy control of automotive semi-active suspensions

This paper describes a neurofuzzy (NF) adaptive controller in conjunction with a modelling neural network (MNN) applied to a vehicle semi-active suspension control. The NF controller employs a simplified fuzzy algorithm which is based on a multi-layer neural network. The modeling network is used as an estimator which can identify the vehicle dynamic model parameters and provide the NF controller with learning signals. A plant model is used initially to tune the parameters of the NF controller using a set of fuzzy control rules. A semi-active suspension system, utilised for vibration control tests, is modelled in simulation and tested with results obtained from vehicle experiments. Significant dynamic nonlinearity is inherent in the plant due to the suspension dynamics. The NF controller results are compared with a conventional fuzzy logic (FL) controller and an open loop passive suspension system. It is found that the NF controller performance is satisfactory and the resultant reduction of vehicle vibration is improved, in the presence of the dynamic complexities of the plant. The method proposed has several advantages over others presented in the literature. In order to verify simulation results, a test vehicle fitted with a semiactive suspension measurement and control system was experimented with under different vehicle speeds and road surfaces. In addition, a semi-active suspension and a passive suspension were also experimented. The test results coincide closely with those obtained from simulation. These results show that the semi-active suspension methodology exhibits good performance leading to reduction of vehicle vibration.
Development of a Kinect Rehabilitation System

Abstractâ? Microsoft Kinect camera has been used in serious games applications, like for rehabilitation purposes, almost since it became available in the market. This article presents a clinical view regarding home-based physiotherapy for patients that suffered a stroke and details on the development of the rehabilitation system - Kinect-RehabPlay. This system uses the Kinect sensor together with the Unity3D game engine software to create the animation and visual environment. Currently, it is able to track, recording and comparing movements (doctor versus patient), and adjust the game configuration in real-time.
Effect of abiotic stress on carotenoids accumulation in pumpkin plants under light and dark conditions

In nature, environmental factors highly influence the carotenoid composition in pumpkin plants and these factors were difficult to control; thus, carotenoid content is varied quantitatively and qualitatively. However, certain parameters can be controlled and this can be conducted in the laboratory through biogenesis manipulation. This approach uses environmental stress as a tool to alter the carotenoid pathway in the plants. The main objective of this study was to observe the inhibiting and enhancing effect of abiotic stress on individual carotenoid accumulation in pumpkin plants under light and dark conditions. The abiotic stresses used were plant elicitors which consisted of Ultra Violet light exposure, Polyethylene Glycol 4000, Salicylic Acid, and half strength nutrients using Murashige and Skoog Salt. After two weeks of treatments, the pumpkin leaves and stems were harvested, freeze dried and extracted to determine the carotenoids compound using High-Performance Liquid Chromatography (HPLC). Results showed that there was a significant difference (p<0.005) of lutein content (2.668 + 0.565 µg/g) in pumpkin leaves once exposed to Ultra Violet light with the absence of β-carotene compared to the control treatment; lutein (3.119 ± 0.210 µg/g) and β-carotene (0.838 + 0.05 µg/g). There were significant differences of carotenoids content under dark condition with the value of lutein at 0.472 + 0.008 µg/g to 1.247 + 0.047 µg/g and β-carotene from not detected to 1.360 + 0.003. The highest amount of lutein in pumpkin stem was detected in the Salicylic acid treatment under light condition (0.930 + 0.101 µg/g) and the highest amount of β-carotene in the pumpkin stem was detected in the Salicylic acid treatment under dark condition (0.234 + 0.018 µg/g). The carotenoid content varied in each treatment due to the adaptation of pumpkin plants with abiotic stress induced to them.
Dyslexia Telerehabilitation during the COVID-19 Pandemic: Results of a Rhythm-Based Intervention for Reading

The COVID-19 outbreak necessitated a reorganization of the rehabilitation practices for Learning Disorders (LDs). During the lockdown phase, telerehabilitation offered the possibility to continue training interventions while enabling social distancing. Given such an advantage of telerehabilitation methods for LDs, clinical research is still needed to test the effectiveness of diverse teletraining approaches by comparing their outcomes with those of face-to-face interventions. To compare the effectiveness of telerehabilitation vs. in-presence rehabilitation of dyslexia, a rhythm-based intervention for reading, called Rhythmic Reading Training (RRT), was tested in a small-scale clinical trial during the lockdown phase of the COVID-19 pandemic. Thirty children aged 8–13 with a diagnosis of developmental dyslexia were assigned to either a telerehabilitation or an in-presence rehabilitation setting and received RRT for 10 biweekly sessions of 45 min, supervised by a trained practitioner. The results showed that both telerehabilitation and in-presence rehabilitation were effective in improving reading and rapid automatized naming in children with dyslexia and that the effects were comparable between settings. Therefore, RRT was found to be effective in spite of the administration method (remote or in-presence). These results confirm the potential of telemedicine for the rehabilitation of LDs. Clinical Trial ID: NCT04995471.
Actielogica's in processen van technologische innovatie. De introductie van CNC in twee Vlaamse machinebouwondernemingen

An explanation of "absolutist" models of interpretation, ie, "technological determinism" (work determined by technology itself), & the more recent labor process approach (work determined by the supposedly strict economical &/or political rationality in investment decisions). It is believed that a more relativist approach, in which no apriorisms are stated on the nature of social actors' logics of action, can increase the heuristic value of that model. Data are analyzed from 2 case studies on the introduction of computerized numerical control in Flanders; both were focused on characteristics of the investment decision-making processes & on the impact of technological innovation on quality of work. 2 Tables, 47 References. HA
The Top Hundred Papers of Uveitis Research. A Bibliometric Analysis

Purpose: To identify and evaluate the 100 most frequently cited articles containing uveitis research Methods: Utilizing Databases, specifically of the Institute for Scientific Information, we recognized all issued articles relevant to the topic of uveitis research. All articles containing uveitis research, a publication date ranging from 1900 to September 2016, and had been cited at least 100 times, were included. The top 100 of that list matching the criteria from the above were then further analyzed. Results: Out of the 100 most-cited articles the most cited one in uveitis research with 923 citations was entitled Standardization of uveitis nomenclature for reporting clinical data. A result of the First International Workshop (Jabs et al.) . Citations ranged from 106 to 923 and the two main focus areas were clinical and basic research articles. The leading countries of origin were the U.S. followed by the United Kingdom. Most articles represented Level-III evidence, followed by Level IIb and IV. Conclusions: Our present study demonstrates that the majority (n= 54) of the top ranked articles were published in six of the top ranked journals. Four of these journals originated in the U.S. and one each of these originated in the Netherlands and the U.K. Younger case studies had higher citation rate (in 2015) as older studies. The biggest portion of articles represented Level -III clinical outcome studies implicating that even smaller case series or cohort studies could gain attention.
Good to Go First? Position Effects in Expert Evaluation of Early-Stage Ventures

There is often considerable anxiety and conflicting advice concerning the benefits of presenting/being evaluated first. We thus investigate how expert evaluators vary in their evaluations of entrepreneurial proposals based upon the order in which they are evaluated. Our research setting is a premiere innovation fund competition in Beijing, China, where the prize money at stake is economically meaningful, and evaluators are quasi-randomly assigned to evaluate written grant proposals without the possibility of peer influence. This enables us to credibly recover a causal position effect. We also theorize and test how heterogeneity in evaluators’ prior (context-specific) judging experience moderates position effects. Overall, we find that a proposal evaluated first requires total assets in the top 10th percentile to merely equal the evaluation of a proposal in the bottom 10th percentile that is not evaluated first. Firm and evaluator fixed-effects models yield consistent findings. We consider evaluation design elements that may mollify these position effects in the discussion section. This paper was accepted by Sridhar Tayur, entrepreneurship and innovation.
Mechanical-thermal noise in micromachined acoustic and vibration sensors

The small moving parts in acoustic and vibration microsensors are especially susceptible to mechanical noise resulting from molecular agitation. For sensors designed for small-signal applications, this mechanical-thermal noise is often one of the limiting noise components. Several techniques for calculating the mechanical-thermal noise in acoustic and vibration sensors in general, and in micromachined sensors in particular, are reviewed. >
Molecular Detection of Tick-Borne Pathogens in American Bison (Bison bison) at El Uno Ecological Reserve, Janos, Chihuahua, Mexico

American bison (Bison bison) is listed as near-threatened and in danger of extinction in Mexico. Recent studies have demonstrated the presence of several emerging pathogens at the Janos Biosphere Reserve (JBR), inhabited by one wild herd of American bison. Blood samples were collected from 26 American bison in the JBR. We tested for the presence of Anaplasma marginale, Babesia bigemina, B. bovis, Borrelia burgdorferi sensu lato, and Rickettsia rickettsii DNA using nested and semi-nested PCR protocols performing duplicates in two different laboratories. Results showed three animals (11.5%) positive for B. burgdorferi s. l. , three more (11.5%) for Rickettsia rickettsii, and four (19.2%) for B. bovis. Two individuals were co-infected with B. burgdorferi s. l. and B. bovis. We found no animals positive for A. marginale and B. bigemina. This is the first report in America of R. rickettsii in American bison. American bison has been described as an important reservoir for pathogens of zoonotic and veterinary importance; thus, the presence of tick-borne pathogen DNA in the JBR American bison indicates the importance of continuous wildlife health surveys.
Application of the decomposition technique for forecasting the load of a large electric power network

A reliable electric load forecasting technique for power system planning is introduced. In this technique, a suitable model to fit the data is selected before the actual forecasting algorithm is performed. The model is constructed in three steps: identification, estimation and diagnostic checking. This model is then used by two decomposition techniques (multiplicative and additive) to forecast the electric load. The techniques are illustrated by applying them to the forecast of the monthly peak loads of a large electric power network. The Egyptian electric power network peak loads data are used in this study. Analysis and comparison of the results have shown that the techniques are adequate and yield good results.
A Novel Remote Attestation Platform for SOA

Service-oriented architecture is a design paradigm for the larger-scaled heterogeneous enterprise information systems, and it is the enabling technology for remote and cross- organization e-business transaction. Trust and reputation among the cooperating parties are becoming increasingly vital in this scene, where services from different administration domains are deployed and cooperated. This paper presents a remote attestation platform for SOA. It gives out a complete solution for trust establishing in the SOA enabled IT systems with the supporting of the trusted platform module. The platform provides technique means for the trust management and remote attestation for service composition in the SOA environment.
Optymalny Model Kompleksowej Rehabilitacji i Wtórnej Prewencji

1I Klinika Kardiologii i Elektrokardiologii Interwencyjnej oraz Nadciśnienia Tętniczego, Uniwersytet Jagielloński, Collegium Medicum, Kraków 2Katedra i Zakład Farmakologii Doświadczalnej i Klinicznej, Warszawski Uniwersytet Medyczny, Warszawa 3Klinika Kardiochirurgii, Śląski Uniwersytet Medyczny, Katowice 4Instytut Organizacji Ochrony Zdrowia, Uczelnia Łazarskiego, Warszawa 5Katedra Medycyny Społecznej i Zapobiegawczej, Uniwersytet Medyczny w Łodzi, Łódź 6Zakład Hemodynamiki i Angiokardiografii, Uniwersytet Jagielloński, Collegium Medicum, Kraków 7Śląskie Centrum Rehabilitacji i Prewencji, Ustroń 8Katedra i I Klinika Kardiologii, Uniwersytet Medyczny im. K. Marcinkowskiego, Poznań 9Ośrodek Analiz Uniwersyteckich, Warszawa 10III Klinika Chorób Wewnętrznych i Kardiologii, Warszawski Uniwersytet Medyczny, Warszawa 11Klinika Chorób Serca i Naczyń, Uniwersytet Jagielloński, Collegium Medicum, Kraków 12Zakład Epidemiologii i Badań Populacyjnych, Instytut Zdrowia Publicznego, Uniwersytet Jagielloński, Collegium Medicum, Kraków 13Klinika Rehabilitacji i Elektrokardiologii Nieinwazyjnej, Instytut Kardiologii, Warszawa 14Zakład Prewencji i Dydaktyki, Gdański Uniwersytet Medyczny, Gdańsk 15Klinika Rehabilitacji, Gdański Uniwersytet Medyczny, Gdańsk 16I Katedra i Klinika Kardiologii, Warszawski Uniwersytet Medyczny, Warszawa 17Klinika Intensywnej Terapii Kardiologicznej, Instytut Kardiologii, Warszawa
GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems

Intelligent Transportation Systems (ITSs) technology has advanced during the past years, and it is now used for several applications that require vehicles to exchange real-time data, such as in traffic information management. Traditionally, road traffic information has been collected using on-site sensors. However, crowd-sourcing traffic information from onboard sensors or smartphones has become a viable alternative. State-of-the-art solutions currently follow a centralized model where only the service provider has complete access to the collected traffic data and represent a single point of failure and trust. In this paper, we propose GOLIATH, a blockchain-based decentralized framework that runs on the In-Vehicle Infotainment (IVI) system to collect real-time information exchanged between the network’s participants. Our approach mitigates the limitations of existing crowd-sourcing centralized solutions by guaranteeing trusted information collection and exchange, fully exploiting the intrinsic distributed nature of vehicles. We demonstrate its feasibility in the context of vehicle positioning and traffic information management. Each vehicle participating in the decentralized network shares its position and neighbors’ ones in the form of a transaction recorded on the ledger, which uses a novel consensus mechanism to validate it. We design the consensus mechanism resilient against a realistic set of adversaries that aim to tamper or disable the communication. We evaluate the proposed framework in a simulated (but realistic) environment, which considers different threats and allows showing its robustness and safety properties.
Near-field imaging inside scattering layers

We use speckle intensity correlations to image incoherent illuminators inside scattering samples. Our approach uses correlation properties specific to speckle patterns created by near-field illuminators. Compared to previous far-field approaches, our approach achieves order-of-magnitude expansion in both the range and density of illuminators it can recover. © 2021 The Author(s)
Prognostic Value of 18F-Fluorocholine PET Parameters in Metastatic Castrate-Resistant Prostate Cancer Patients Treated with Docetaxel

Background and Aim The availability of new treatments for metastatic castrate-resistant prostate cancer (mCRPC) patients increases the need for reliable biomarkers to help clinicians to choose the better sequence strategy. The aim of the present retrospective and observational work is to investigate the prognostic value of 18F-fluorocholine (18F-FCH) positron emission tomography (PET) parameters in mCRPC. Materials and Methods Between March 2013 and August 2016, 29 patients with mCRPC were included. They all received three-weekly docetaxel after androgen deprivation therapy, and they underwent 18F-FCH PET/computed tomography (CT) before and after the therapy. Semi-quantitative indices such as maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) with partial volume effect (PVC-SUV) correction, metabolically active tumour volume (MATV), and total lesion activity (TLA) with partial volume effect (PVC-TLA) correction were measured both in pre-treatment and post-treatment 18F-FCH PET/CT scans for each lesion. Whole-body indices were calculated as sum of values measured for each lesion (SSUVmax, SPVC-SUV, SMATV, and STLA). Progression-free survival (PFS) and overall survival (OS) were considered as clinical endpoints. Univariate and multivariate hazard ratios for whole-body 18F-FCH PET indices were performed, and p < 0.05 was considered as significant. Results Cox regression analysis showed a statistically significant correlation between PFS, SMATV, and STLA. No correlations between OS and 18F-FCH PET parameters were defined probably due to the small sample size. Conclusions Semi-quantitative indices such as SMATV and STLA at baseline have a prognostic role in patients treated with docetaxel for mCRPC, suggesting a potential role of 18F-FCH PET/CT imaging in clinical decision-making.
A linear model for greenhouse control

A linear model structure to track and predict greenhouse behavior as a Multi-Input-Multi-Output (MIMO) system and allow for optimized control, has been developed and tested. Deterministic disturbances are handled as uncontrollable inputs, persistently exciting conditions are identified and on-line parameter estimation is investigated. Model inaccuracies, due to physical system nonlinearities, were found to be minimal and the model holds sufficient accuracy for large excursions in the state space. Parameter estimate errors, due to system noise, were evaluated by introducing noise sources to all inputs and outputs.