Miracle-dz/UniFAR-FTUs huggingface dataset:
and sensory profile

Yacon is considered a functional food due to its the fructooligosaccharide (FOS) content, however its perishability and low production volume is a problem. The aim of this study was to analyze the changes in aging during one year of storage and conduct sensory analysis of fermented of yacon. For one year total acidity, volatile acidity, free and total sulfur dioxide, reducing sugars, sucrose, phenols and FOS and its antioxidant power were studied. At the end of aging a sensory profile and acceptance panel was performed. The total and volatile acidity increased significantly (p < 0.05). A decrease in fructooligosaccharide was also observed, indicating that yeasts are probably capable of hydrolyzing the latter. The total sulfur dioxide decreased significantly, demonstrating its ability to act well against oxidation products. This product showed good antioxidant capacity and sensory profiles of considerable acceptance. Therefore it can be affirmed that the alcoholic fermentation of yacon can be a good alternative for the industrial sector and farmers in the region could be encouraged to use large-scale production.
Speckle Noise Removal for Synthetic Aperture Radar Imagery Based on Statistics Filters and Nonlinearing Function

Synthetic Aperture Radar (SAR) images are contaminated by multiplicativ e noise, due to the coherence of the radar wavelength, labeled as speckle noise which results in an important reduction in the efficiency of target detection and classification algorithms . In this paper the corrupted pixels are replaced by an estimated value using the simple filter based statistics filters with nonlinear function which are worked at the same time to reduce the speckle noise without blurring edges or other features in SAR imagery. Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction filters demonstrate its higher performance for speckle reduction with preserving high frequency features (edges) in SAR images.
T HE I MPORTANCE OF C YBER T HREATS I DENTIFICATION AND C OUNTERMEASURES D URING THE COVID-19 P ANDEMIC H AVOC IN THE U.S.

- The current COVID-19 pandemic has impacted the economy worldwide and forced employees to shift to a remote workforce. Work from home also emphasized how organizations must effectively protect against cyber threats. Active or persistent threats have now increased and targeted more home users. The increase in cyber-attacks such as DDoS and Phishing, whereas ransomware shows a slight decline. Malicious users have spread misinformation about COVID-19 awareness, which led to many phishing attacks. Users must understand and recognize social engineering attacks and their respective countermeasures. There is a clear correlation between the rise of online users and the increase in cyberattacks, as expressed in the Routine Activity Theory. Crime will essentially increase because motivated criminals can access probable victims, and security is not relatively present. Cyber vigilance is indispensable and critical during the pandemic. Best security practices are necessary to provide a secure communication environment. No single network effectively promotes full-proof protection against sophisticated cyber attackers. Cybersecurity is yet again the most important factor during these unprecedented times.
The role of village poultry in food security and HIV / AIDS mitigation in Chobe district of Botswana.

The poultry industry of Botswana comprises two important production systems: the commercial sector that uses exotic breeds of chickens and improved housing and nutrition (high-input high-output system); and the village system which uses mainly indigenous Tswana chickens (low-input low-output system). A study was conducted in two villages of Chobe district of Botswana and 44 households were involved. The objective of the study was to investigate the roles played by village poultry in food security and HIV / AIDS mitigation. Data were collected using a formal questionnaire and direct observation. The study showed that chickens accounted for 81.62% of the poultry species reared while guinea fowl pigeons and ducks made up the remaining 18.34%. It was found that in rural areas most people (especially women) kept chickens mainly for meat and as a source of income. Chickens were sold to meet family needs and the average price per bird was P42.76 ± 7.87 equivalent to US$6.53. The money from the sale of chickens was used to pay for school fees transport fees health services to buy school requisites (pens uniforms and books) and groceries (including fruits and vegetables). In addition some money was used to purchase smallstock (sheep and goats) which could in the future be sold to buy cattle to provide milk and draught power. These results indicate that village poultry play an important role in family food security and HIV/AIDS mitigation in the rural villages.
Allo-Speci ﬁ c Humoral Responses: New Methods for Screening Donor-Speci ﬁ c Antibody and Characterization of HLA-Speci ﬁ c Memory B Cells

Antibody-mediated allograft rejection (AMR) causes more kidney transplant failure than any other single cause. AMR is mediated by antibodies recognizing antigens expressed by the graft, and antibodies generated against major histocompatibility complex (MHC) mismatches are especially problematic. Most research directed towards the management of clinical AMR has focused on identifying and characterizing circulating donor-speci ﬁ c HLA antibody (DSA) and optimizing therapies that reduce B-cell activation and/or block antibody secretion by inhibiting plasmacyte survival. Here we describe a novel set of reagents and techniques to allow more speci ﬁ c measurements of MHC sensitization across different animal transplant models. Additionally, we have used these approaches to isolate and clone individual HLA-speci ﬁ c B cells from patients sensitized by pregnancy or transplantation. We have identi ﬁ ed and characterized the phenotypes of individual HLA-speci ﬁ c B cells, determined the V(D)J rearrangements of their paired H and L chains, and generated recombinant antibodies to determine af ﬁ nity and speci ﬁ city. Knowledge of the BCR genes of individual HLA-speci ﬁ c B cells will allow identi ﬁ cation of clonally related B cells by high-throughput sequence analysis of peripheral blood mononuclear cells and permit us to re-construct the origins of HLA-speci ﬁ c B cells and follow their somatic evolution by mutation and selection.
(2012). PiVOT: personalized view-overlays for tabletops. In Proceedings of the 25th annual ACM symposium on User interface software and technology (pp. 271-280). (UIST '12).

We present PiVOT, a tabletop system aimed at supporting mixed-focus collaborative tasks. Through two view-zones, PiVOT provides personalized views to individual users while presenting an unaffected and unobstructed shared view to all users. The system supports multiple personalized views which can be present at the same spatial location and yet be only visible to the users it belongs to. The sys-tem also allows the creation of personal views that can be either 2D or (auto-stereoscopic) 3D images. We first discuss the motivation and the different implementation principles required for realizing such a system, before exploring different designs able to address the seemingly opposing challenges of shared and personalized views. We then implement and evaluate a sample prototype to validate our design ideas and present a set of sample applications to demonstrate the utility of the system.
Earworms ( " stuck song syndrome " ) : towards a natural history of intrusive thoughts

Earworms ("stuck song syndrome"): towards a natural history of intrusive thoughts. Thank you for downloading this publication from our repository. The University of Reading is committed to increasing the visibility of our research and to demonstrating the value that it has on individuals, communities, organisations and institutions. To support us in this commitment, we are running a pilot project to find out more about the people who download information from the University of Reading website. The publication you have downloaded is part of this project. It would help us greatly if you could spend two minutes filling out the survey at the following link. Completion is voluntary and information supplied will be treated as confidential. Please indicate if you would be happy for us to contact you in the future.
VU Research Portal Advances in Large-Scale RDF Data Management

One of the prime goals of the LOD2 project is improving the performance and scalability of RDF storage solutions so that the increasing amount of Linked Open Data (LOD) can be eﬃciently managed. Virtuoso has been chosen as the basic RDF store for the LOD2 project, and during the project it has been signiﬁcantly improved by incorporating advanced relational database techniques from MonetDB and Vectorwise, turning it into a compressed column store with vectored execution. This has reduced the performance gap (“RDF tax”) between Virtuoso’s SQL and SPARQL query performance in a way that still respects the “schema-last” nature of RDF. However, by lacking schema information, RDF database systems such as Virtuoso still cannot use advanced relational storage optimizations such as table partitioning or clustered indexes and have to execute SPARQL queries with many self-joins to a triple table, which leads to more join eﬀort than needed in SQL systems. In this chapter, we ﬁrst discuss the new column store techniques applied to Virtuoso, the enhancements in its cluster parallel version, and show its performance using the popular BSBM benchmark at the unsurpassed scale of 150 billion triples. We ﬁnally describe ongoing work in deriving an “emergent” relational schema from RDF data, which can help to close the performance gap between relational-based and RDF-based storage solutions.
A study on locomotion characteristics according to the level of cardiorespiratory endurance in adolescents

This study aims to investigate the differences in locomotion characteristics according to cardiorespiratory endurance in adolescents. The subjects were 51 students in the third grade of middle school, divided into the EG group (excellent group) and NEG group (non-excellent group) according to the cardiorespiratory endurance level. This study investigates the differences in locomotion characteristics according to cardiorespiratory endurance in adolescents. We used a 20-shuttle-run for cardiorespiratory endurance level, and a 1-minute walking test was performed for each speed by applying a differential speed. Cardiorespiratory endurance variables were based on VO 2 Max, and locomotion variables were analyzed by spatial-temporal parameters and foot range of motion parameters. Regarding the locomotion spatial-temporal parameters, adolescents with excellent cardiorespiratory endurance showed a more regular pattern, while foot inversion showed a more abnormal pattern. In particular, when the locomotion speed was slow, these characteristics were more clearly distinguishable. Our results con�rm the characteristics of locomotion according to the growth of adolescents and can mediate the difference in walking speed to use as a primary database for the locomotion of adolescents.
Emergence of Antibiotic-Resistant Porphyromonas gingivalis in United States Periodontitis Patients

Antibiotic resistance patterns of the major human periodontal pathogen Porphyromonas gingivalis were assessed over a 20-year period in the United States. Subgingival P. gingivalis was cultured pre-treatment from 2193 severe periodontitis patients during three time periods: 1999–2000 (936 patients), 2009–2010 (685 patients), and 2019–2020 (572 patients). The clinical isolates were tested for in vitro resistance to 4 mg/L for clindamycin and doxycycline, 8 mg/L for amoxicillin, and 16 mg/L for metronidazole, with a post hoc combination of data for metronidazole plus amoxicillin. Clindamycin-resistant P. gingivalis was significantly more prevalent in 2009–2010 (9.1% of patients) and 2019–2020 (9.3%; 15-fold increase) as compared to 1999–2000 (0.6%). P. gingivalis resistance to amoxicillin also significantly increased from 0.1% of patients in 1999–2000 to 1.3% in 2009–2010 and 2.8% (28-fold increase) in 2019–2020. P. gingivalis resistance to metronidazole, metronidazole plus amoxicillin, and doxycycline was low (≤0.5% prevalence), and statistically unchanged, over the 20-year period. These findings are the first to reveal marked increases over 20 years in clindamycin-resistant and amoxicillin-resistant P. gingivalis in United States periodontitis patients. Increased antibiotic resistance of P. gingivalis and other periodontitis-associated bacteria threatens the efficacy of periodontal antimicrobial chemotherapy.
Barriers to and Facilitators of Physical Activity: A Qualitative Study from the Perspective of Individuals Living with Sight Loss in Cambridgeshire

Physical inactivity is a prevalent concern amongst adults living with sight loss. It is essential to understand why these individuals are inactive and how we can increase physical activity levels among them. Therefore, this study aims to explore the barriers and facilitators to physical activity for individuals living with sight loss. Seven individuals with self-reported sight loss living in Cambridgeshire were recruited for three focus groups. Focus group data were analysed using thematic analysis to identify key themes. Seven themes which represented a barrier, or a facilitator were identified: transport, accessing information, one size fits all, negative previous experience, visually impaired sport, women in disability sport, and taster days. To increase physical activity levels amongst those living with sight loss, interventions need to be focused on the organisational level. This includes producing more accessible environments that can be produced by providing training for sport and physical activity professionals and by ensuring the physical environment is inclusive for those living with sight loss.
Mirrored EAST: An Efficient Detector for Automatic Vehicle Identification Number Detection in the Wild

Vehicle identification number (VIN) is a unique serial number used to identify individual vehicles across various applications. The first crucial step in automatically collecting VINs is to accurately localize the VIN area. In this article, we present a novel VIN detection approach called Mirrored EAST (MEAST) based on an efficient and accurate scene text (EAST) Detection framework. MEAST learns to exploit the spatial consistency between an image and its mirrored version to improve localization performance, and employs a lighter but more discriminative backbone network to improve its applicability in mobile scenarios. To evaluate the VIN detection performance, we constructed a large-scale VIN image dataset named CQU-VD20 K, consisting of 20 000 VIN images in real scenarios. Based on this dataset, we have conducted a comprehensive empirical study of VIN detection. The results demonstrate the superiority of MEAST over other methods in VIN detection. Additionally, we also conducted extended experiments on a license plate dataset named CCPD-Rotate, which confirms the effectiveness of our approach in other industrial inspection tasks.
Frailty, Illness Perception and Lung Functional Exercise Adherence in Lung Cancer Patients After Thoracoscopic Surgery

Background Lung cancer patients will have lung damage after surgery, need rehabilitation exercise. Common-sense model has shown the impact of patients’ perception of illness on health behaviors. However, for patients with lung cancer after thoracoscopic surgery, there has been no relevant exploration of disease perception. Objective The purpose of this study was to investigate the clinical status of patients with lung cancer patients who have undergone thoracoscopic surgery, and to explore the correlation between frailty, disease perception, and lung functional exercise compliance. Methods The cross-sectional study included 218 patients with lung cancer after thoracoscopic surgery. We collected participants’ frailty, disease perception, exercise adherence, and relevant clinical information. T-test, Chi-square, Linear regression, Pearson’s correlation, and mediation analysis were used for statistical analysis of patient data. Results We analyzed the data by disease perception with high and low median scores and found significant differences in lymphatic dissection, stool within three days, pain, thoracic drainage tube placement time. Linear regression results show that, after controlling for confounding factors, frailty and disease perception were significantly associated with pulmonary function exercise compliance. The higher the frailty score, the worse the compliance, and the higher the disease perception negative score, the less exercise. Illness perception played a partially mediating role in the association between frailty and lung functional exercise adherence. Conclusion Frailty and disease perception have an impact on exercise adherence, therefore, we need to consider these factors in the intervention to improve exercise compliance after thoracoscopic surgery for lung cancer.
Neuroimaging Correlates of Internet Gaming Disorder: Can We Achieve the Promise of Translating Understanding of Brain Functioning Into Clinical Advances?

ABSTRACT Objectives: Here, we aimed to consider the neural factors associated with internet gaming disorder (IGD), as well as the associations between these factors and existing treatments for the disorder. Methods: A narrative review was conducted. Results: Pharmacological as well as psychological treatments for IGD may be associated with specific changes in multiple brain areas and circuits. In particular, frontostriatal and subcortical regions and pathways appear relevant to IGD and its treatment. Conclusions: Neuroimaging holds promise for identifying specific mechanisms underlying IGD interventions. However, to date, firm conclusions are difficult to draw and more research examining neural mechanisms of empirically supported treatments for IGD is needed. Objectifs: Nous avons cherché à examiner les facteurs neuronaux associés au trouble du jeu sur internet (TJI), ainsi que les associations entre ces facteurs et les traitements existants pour ce trouble. Méthodes: Une étude narrative a été réalisée. Résultats: Les traitements pharmacologiques et psychologiques du TJI peuvent être associés à des changements spécifiques dans de multiples zones et circuits cérébraux. En particulier, les régions et voies fronto-striatales et sous-corticales semblent pertinentes pour le TJI et son traitement. Conclusions: La neuro-imagerie est prometteuse pour l’identification des mécanismes spécifiques qui sous-tendent les interventions du TJI. Cependant, à ce jour, il est difficile de tirer des conclusions définitives et il est nécessaire de poursuivre les recherches sur les mécanismes neuronaux des traitements empiriques du TJI.
Developing Design-oriented Strategies ToCombat Regional Scale Climate Change

This paper presents a study of residential parcel design and surface heat island formation in a major metropolitan region of the southeastern United States. Through the integration of high-resolution multispectral data (10 m) recorded by the National Aeronautical and Space Administration (NASA) with property tax records for over 100,000 single-family residential parcels in the Atlanta, Georgia metropolitan region, the influence of the size and material composition of residential land use on an indicator of surface heat island formation is reported. In contrast to previous work on the urban heat island effect, this study derives a parcel-based indicator of surface warming to permit the impact of land use planning regulations governing the density and design of development on the excess flux of heat energy to be measured. The results of this study suggest that the contribution of individual land parcels to regional surface heat island formation could be reduced by approximately 40% for average sized parcels through the adoption of specific land use planning policies, such as zoning and subdivision regulations, and with no modifications to the size or albedo of the residential structure.
Use of 137 Cs isotopic technique in soil erosion studies in Central Greece

The 137Cs technique was used to study soil erosion and deposition rates in soils in the Viotia prefecture, central Greece. Three sites with different soil types were selected and studied. Soils were sampled along transects and analyzed for 137Cs. The main goal of this field investigation was to study the 137Cs 3-D distribution pattern within key sites and to apply this information for the assessment of soil redistribution. The erosion and deposition rates were estimated using the proportional and the simplified mass balance models (Walling and He, 1997). Erosion and deposition rates predicted through the spatial distribution of 137Cs depended on the location of the profile studied in the landscape and were determined by the soil plough depth, the soil structure (bulk density), and the calibration model used to conve rt soil 137Cs measurements to estimates of soil redistribution rates. Estimated erosion rates for the Mouriki area site, varied from 16.62 to 102.56 t ha-1 y-1 for the top of the slope soil profile and from 5.37 to 25.68 t ha-1 y-1 for the middle of the slope soil profile. The deposition rates varied from 7.26 to 42.95 t ha-1 y-1 for the bottom of the slope soil profile.
Optimal Model Partitioning with Low-Overhead Profiling on the PIM-based Platform for Deep Learning Inference

Recently Processing-in-Memory (PIM) has become a promising solution to achieve energy-efficient computation in data-intensive applications by placing computation near or inside the memory. In most Deep Learning (DL) frameworks, a user manually partitions a model’s computational graph (CG) onto the computing devices by considering the devices’ capability and the data transfer. The Deep Neural Network (DNN) models become increasingly complex for improving accuracy; thus, it is exceptionally challenging to partition the execution to achieve the best performance, especially on a PIM-based platform requiring frequent offloading of large amounts of data. This paper proposes two novel algorithms for DL inference to resolve the challenge: low-overhead profiling and optimal model partitioning. First, we reconstruct CG by considering the devices’ capability to represent all the possible scheduling paths. Second, we develop a profiling algorithm to find the required minimum profiling paths to measure all the node and edge costs of the reconstructed CG. Finally, we devise the model partitioning algorithm to get the optimal minimum execution time using the dynamic programming technique with the profiled data. We evaluated our work by executing the BERT, RoBERTa, and GPT-2 models on the ARM multicores with the PIM-modeled FPGA platform with various sequence lengths. For three computing devices in the platform, i.e., CPU serial/parallel and PIM executions, we could find all the costs only in four profile runs, three for node costs and one for edge costs. Also, our model partitioning algorithm achieved the highest performance in all the experiments over the execution with manually assigned device priority and the state-of-the-art greedy approach.
Phytochemical Analysis of Citrullus colocynthis (L.) Schrad and study of its antibacterial activity in vitro

Citrullus colocynthis ( L.) an important herbal to the tribal not founded as vivid day up till now. Except few fragmentary findings no investigation in respect to phytochemical screening. And antibacterial activity of the present day has not been done keeping this point in mind phytochemical screening and anti-bacterial activity recently done against four bacteria ( S. typhi, P. aeruginosa, K. pneumoniae, B. subtilis ) using Acetone, Ethanol, and Aqueous as solvent extracts. Flavonoids as marker of phytochemicals identified for best results where Acetone extracts for B. subtilis and Ethanol extract for P. aeruginosa showed excellent results rather than extract in aqueous solution.