Miracle-dz/UniFAR-FTUs huggingface dataset:
Task Offloading and Parameter Optimization of MAR in Multi-access Edge Computing

With the popularization of mobile devices and the development of mobile augmented reality (MAR), people's demand for MAR applications is increasing. However, few MAR applications are applied to mobile devices since it is computationally intensive and requires computing power. MAR applications consume a lot of energy, and the battery capacity of mobile devices cannot support the long-term operation of applications. In this paper, we study the problem of dynamically configuring parameters of MAR system based on different user service characteristics under the system model of multi-edge server and multi-client. Considering the influence of client parameters such as CPU frequency, client task resolution and wireless bandwidth resource allocation, we design an objective function to evaluate service delay, energy consumption per frame and detection accuracy of target tasks according to different user service characteristics. Based on our objective function, we propose a server selection and parameter optimization (SSPO) algorithm to select the appropriate mobile edge server for client task offloading and parameter optimization. Simulation results show that our proposed algorithm can effectively reduce the energy consumption of MAR client while meeting the service characteristics of different users.
Heat Flow Field Analysis on Heat Dissipation Features of High-Wattage Power Cabinets

With the rapid development of electronic science and technology, power electronic devices are increasingly efficient, intelligent, small, and multi-functional. To ensure the thermal reliability of these devices, it is particularly important to make a reasonable heat dissipation design. However, there is insufficient research into the precise measurement of the flow field and temperature field within real high-voltage power electronic devices under the heat dissipation state of liquid cooling. To fill the gap, this paper carries out a heat flow field analysis on the heat dissipation features of high-wattage power cabinets. Out of the multiple power electronic device groups in a typical high-wattage power cabinet, a row of power electronic device units was taken as the objects. Then, several power electronic devices were analyzed numerically to establish a thermal model of the power electronic device group. Next, we designed the dissipation structure of the group, obtained the correlation between the flow field uniformity and temperature distribution of power electronic devices, and analyzed the effects of the ambient temperature of the group, the flow rate of cooling air, and other factors on the temperature features of power electronic devices. The proposed thermal model and dissipation system design strategy were proved feasible through experiments.
Accelerated Adaptive Error Control and Refinement for SIE Scattering Problems

We present an application of adjoint-based adaptive error control and refinement for scattering problems solved using the method of moments (MoM) in the Electric Field Integral Equation (EFIE) and the coupled EFIE and Magnetic Field Integral Equation (MFIE) formulations. Specifically, we examine the Poggio-Miller-Chang-Harrington-Wu-Tsai (PMCHWT) formulation of the EFIE-MFIE. We first construct the adjoint problems of the EFIE and the EFIE-MFIE for estimating the error of radar cross-section (RCS) quantities of interest (QoIs) directly. We then introduce an effective adaptive refinement algorithm, based on an error prediction heuristic and a posteriori error estimation, which enables rapid and consistent convergence regardless of a chosen tolerance and the coarseness of the starting discretization. The approach, moreover, inherently promotes equilibration of the QoI error contributions and produces, therefore, consistently balanced meshes. Numerical examples with canonical scattering targets and adaptive p-refinement confirm the strength of the proposed refinement method, demonstrating the ability to generate high quality discretizations, both in terms of accuracy and efficiency, without expert user-intervention.
The microporosity of pulp : the nature of the pore size distribution

Une revue critique de la technique d'exclusion de solute pour l'evaluation de la validite et de l'importance des donnees sur la dimension des pores a permis aux auteurs d'interpreter les mesures publiees en termes de volume de pore accessible. Ils ont etabli que la distribution de taille de pore des vides accessibles est en bon accord avec un modele theorique log-normal. La courbe de distribution des tailles de pores accessibles peut etre determinee a partir de formules statistiques avec determination graphique de deux parametres du modele : la deviation standard et la largeur moyenne de pore.
Three-Dimensional Bioprinting of Decellularized Extracellular Matrix-Based Bioinks for Tissue Engineering

Three-dimensional (3D) bioprinting is one of the most promising additive manufacturing technologies for fabricating various biomimetic architectures of tissues and organs. In this context, the bioink, a critical element for biofabrication, is a mixture of biomaterials and living cells used in 3D printing to create cell-laden structures. Recently, decellularized extracellular matrix (dECM)-based bioinks derived from natural tissues have garnered enormous attention from researchers due to their unique and complex biochemical properties. This review initially presents the details of the natural ECM and its role in cell growth and metabolism. Further, we briefly emphasize the commonly used decellularization treatment procedures and subsequent evaluations for the quality control of the dECM. In addition, we summarize some of the common bioink preparation strategies, the 3D bioprinting approaches, and the applicability of 3D-printed dECM bioinks to tissue engineering. Finally, we present some of the challenges in this field and the prospects for future development.
Hybrid Frameworks for the Multi-objective Optimization of Distributed Generation Units and Custom Power Devices with Simultaneous Distribution Network Reconfiguration

The increased penetration of renewable energy sources in the distribution system affects the stability and efficiency of the system. To account for the intermittent nature of these sources, distribution network reconfiguration and the integration of custom power devices are important. This paper aims to identify the optimum location of photovoltaic systems and unified power quality conditioners in the distribution system considering economic and technical aspects. Three metaheuristic algorithms namely nondominated sorting genetic algorithm-II (NSGA-II), strength pareto evolutionary algorithm-2 (SPEA2) and multi-objective evolutionary algorithm based on decomposition (MOEA/D) were employed. Furthermore, three hybrid algorithms were developed by dividing the population into two parts. Multi-objective particle swarm optimisation (MOPSO) was applied in the upper part while NSGA-II, SPEA2 or MOEA/D was used in the lower part of the population resulting in three hybrid algorithms: MOPSO-NSGA II, MOPSO-SPEA2, MOPSO-MOEA/D. The simulation was performed on the IEEE-123 Node Test Feeder system using the OpenDSS and MATLAB environment. The performance of the proposed algorithms was compared according to their computation time and performance metrics such as pure diversity, generational distance and spacing. It was found that the hybrid algorithms enhance the convergence of the solutions to the true Pareto front. Combining SPEA2 or MOEA/D with MOPSO also reduced the complexity of the algorithms resulting in a lower simulation time.
Sokak Sütlerinde Gizli Tehlike: Antibiyotik Kalıntısı

Amaç: Süt hayvanlarının sağlığını korumak amacıyla kullanılan antibiyotiklerin sütlerde bıraktığı antibiyotik kalıntıları insan sağlığını önemli derecede tehdit etmektedir. Ayrıca sütteki antibiyotik kalıntılarının ısıl işlemlerle nötralize edilemediği de bildirilmektedir. Bu nedenlerle denetimsiz satılan çiğ sütlerin antibiyotik kalıntısı açısından değerlendirilmesi son derece önemlidir. Bu çalışmada, Ankara ilinde sokakta satılan çiğ sütlerin içerdiği antibiyotik kalıntılarının araştırılması amaçlanmıştır. Gereç ve Yöntem: Bu çalışmanın örneklemini oluşturan sokak sütlerinin Ankara ilini temsil etmesi için Ankara’nın en yoğun nüfusa sahip 9 ilçesinden nüfus yoğunluklarına göre belirlenen sayılarda toplam 60 adet sokak sütü numunesi araştırmacılar tarafından toplanmıştır. Alınan sokak sütleri Idexx Snap ST Plus DUO kullanılarak antibiyotik kalıntıları açısından araştırılmıştır. Bulgular: Çalışmada alınan sokak sütü numunelerinin toplam %30’unda antibiyotik kalıntı miktarlarının yönetmelikte belirlenen limitleri aştığı tespit edilmiştir. Bunlardan %28.3’ünün (n=17) beta-laktam kalıntı içeriğinin, %1.7’sinin (n=1) ise tetrasiklin kalıntı içeriğinin mevzuatta belirlenen limitlerin üzerinde olduğu saptanmıştır. Sonuç: Ankara’da satışa sunulan sokak sütlerinde tespit edilen antibiyotik kalıntılarının mevzuata uygun olmaması, antibiyotik kalıntı maruziyetinin neden olabileceği sağlık risklerinin yanı sıra antibiyotik direnci gelişimine de katkı sağlayabileceği için endişe vericidir. Son yıllarda doğal olduğu düşüncesi ile artan çiğ süt tüketim eğilimi de göz önünde bulundurulduğunda denetimsiz olarak satılan sokak sütlerinin satışı ile ilgili yaptırım ve denetimlerin arttırılması ve bu konuda tüketicilerin bilinçlendirilmesi önemlidir.
INITIAL STUDY ASSESSING THE SUITABILITY OF DRONES WITH LOW-COST GNSS AND IMU FOR MAPPING OVER FEATURELESS TERRAIN USING DIRECT GEOREFERENCING

Abstract. Drone technology has shown the potential to act as the middle ground between satellite, light aircraft, and terrestrial or in-situ methods. However, featureless terrain such as water poses a challenge when it comes to drone mapping. The main challenge is identifying matching points to combine overlapping images into a single dataset. In particular, because traditional methods such as Structure from Motion (SfM) is dependent on tie point collection, its usage over featureless terrain is almost impossible. In solving this problem, we propose that the use of Direct Georeferencing (DG) in registering images be explored as a potential method and we propose a method for correcting errors due to tilt with low-cost IMUs. This study first assesses the accuracy of direct georeferencing using low-cost Inertial Measurement Units (IMU) and Global Navigational Satellite System (GNSS) providing analysis of the error sources associated with direct georeferencing and then demonstrates new approaches to minimize them. To best simulate a water type environment or surface for the initial studies, a drone survey was conducted on flat farmland and a POSE analysis was performed. We then processed the images using direct georeferencing and then compared our error minimisation method to standard Bundle Block Adjustment with GCPs and again with no GCPs. Results showed that using the method proposed in this study helped reduce the Mean Absolute Error associated with direct georeferencing by 54%. These initial results show a clear potential for mapping over inland water using direct georeferencing.
Radiological perspective of the formation of pressure ulcers – A comparison of pressure and experience on two imaging surfaces.

Poster: "ECR 2015 / C-1282 / Radiological perspective of the formation of pressure ulcers – A comparison of pressure and experience on two imaging surfaces. " by: "C. Everton1, S. Bird1, W. Brito2, P. Colle3, P. A. Franco4, S. Lutjeber3, K. Nodeland5, S. Rieme2, S. Angmorterh1, M. Siddika6, A. England7, K. Szczepura1, P. Hogg1; 1Salford/UK, 2Lausanne/CH, 3Groningen/NL, 4Lisbon/PT, 5Oslo/NO, 6Oldham/UK, 7Manchester/UK"
Multi-Authority Attribute-Based Encryption with Dynamic Membership from Lattices

Attribute-based encryption is useful for one-to-many encrypted message sending. However, most attribute-based encryption schemes authorize and issue attributes to users by a single authority. Such a scenario conflicts with practical requirements and may cause the key-escrow problem. Hence, decentralization of authority is a critical issue in attribute-based encryption. Besides, dynamic membership management is another important issue in attribute-based encryption. With dynamic membership management, a system may update the user’s attributes without affecting other users, making the system more flexible and practical. On the other hand, with the rapid development of quantum computers nowadays, encryption schemes based on traditional mathematical problems are at the risk of quantum attacks. Among the existing quantum-resistant mathematical architectures, lattice-based cryptography is the most widely studied. Thus, we propose a multi-authority attribute-based encryption scheme with dynamic membership from lattices to solve the above problems. Moreover, we also formally prove the security of the proposed scheme under the decisional learning with errors assumption.
“Does a Good Firm Diminish the Bad Behavior of Its Employees?”: The Sequential Mediation Effect of Organizational Trust and Organizational Commitment, and the Moderation Effect of Work Overload

The purpose of this study was to investigate the influence of corporate social responsibility (CSR) on an employee’s negative behavior, in addition to its intermediating mechanism (i.e., mediators and moderator) in the relationship. This paper proposes that CSR may diminish an employee’s negative behavior, such as counterproductive work behavior. Relying on the context–attitude–behavior framework, this study investigated the mediators and moderator of the relationship between CSR and counterproductive work behavior. Specifically, this study hypothesized that not only does CSR diminish the level of counterproductive work behavior by sequentially boosting the level of employees’ organizational trust and commitment, but their work overload also negatively moderates the association between CSR and organizational trust. Utilizing three-wave time-lagged online survey data from 342 employees in South Korean companies, this study tested the hypotheses by building a moderated mediation model with structural equation modeling analysis. The results indicate that CSR decreases the level of employees’ counterproductive work behavior through enhancing their organizational trust and commitment. Moreover, work overload negatively moderates the association between CSR and organizational trust. The findings of this study make theoretical and practical contributions to the CSR literature.
Fourier Domain Millimeter-Wave Imaging Using Non-Cooperative 5G Communications Signals

The spectrum of millimeter-wave frequencies is becoming increasingly crowded due to the advances in fifth generation (5G) communications and automotive radar, leading to greater interest in spectrum coexistence for functions like sensing and communications. While most research has focused on minimizing interference between sensing and communications, we take a different approach that leverages dense communications signal environments for passive sensing applications. We present a millimeter-wave imaging system that captures information in the spatial frequency (Fourier) domain, similar to concepts used in radio astronomy. In contrast to traditional millimeter-wave sensing and imaging approaches, Fourier-domain image formation is improved as more incoherent signals are included in the environment. In particular, multiple millimeter-wave communications signals generate spatiotemporal incoherence, which enables Fourier-domain sampling and image formation. We present a method for characterizing the imaging efficacy of communications signals in an environment based on new spatiotemporal coherence metrics. We discuss simple solutions to problems of increasing spatial coherence in cases where transmit resources are limited. Finally, we demonstrate a 38 GHz millimeter-wave imaging system capturing 5G communications signals from a set of independent transmitters, demonstrating the ability to image multiple objects in a scene.
The role of the pharmacist in the prevention of gastrointestinal diseases

Pharmacists are health care professionals and their role is to provide health services, recommendations and support to all type of patients with a diversity of pathologies, including gastrointestinal diseases. In the last years, in countries where previously some gastrointestinal diseases were not so common, nowadays are augmenting, for example Crohn’s disease. In some country as Asia, Africa and Eastern Europe the number of patients with this type of diseases is constantly growing. Considering its high incidence, physical, mental and economic impact, it is vital to prevent as much as possible its apparition. High risk factors are represented by inadequate diet and lifestyle, medication side effects, drugs interactions or administration and dosage errors. The aim of this paper is to analyze the important role of pharmacists in preventing some gastrointestinal effects by offering correct information and advices to patients. This paper includes information related to self-medication, over-the-counter medication, side effects and the importance of microbial flora, equilibrate diet and lifestyle.
Obese Vegetarians and Omnivores Show Different Metabolic Changes: Analysis of 1340 Individuals

Our study evaluated the association between the increase in body mass index (BMI) in men and women (menstruating and non-menstruating) (n = 1340) with different dietary groups (omnivores, semi-vegetarians, lacto-ovo-vegetarian, and vegans) and the measurement of the biochemical markers high-sensitive C-reactive protein (hs-CRP), ferritin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), gamma-glutamyl transferase (GGT), glycated hemoglobin (HbA1C), and insulin resistance index (HOMA-IR). Increasing BMI values in all groups and dietary profiles were related to a significant increase in hs-CRP (p < 0.0001), ALT (p = 0.02), ferritin (p = 0.009), and HbA1C (p < 0.0001), with no difference between dietary groups (p < 0.05). The increase in BMI increases the levels of HOMA-IR (p < 0.0001) and GGT (p < 0.05), with higher values found in men when compared to women (p < 0.0001 for HOMA- IR and p = 0.0048 for GGT). The association between ALT and BMI was different between dietary groups, as it showed a decrease in vegan women who do not menstruate compared to other dietary groups (p = 0.0099). When including only obese individuals (BMI ≥ 30 kg/m2, n = 153) in the analysis, we observed lower concentrations of GGT and ferritin in vegetarians than in omnivores, regardless of gender and menstrual blood loss (p = 0.0395). Our data showed that for both vegetarians and omnivores, the higher the BMI, the worse the metabolic parameters. However, regarding obesity, vegetarians showed better antioxidant status (lower GGT elevation) and lower inflammatory status (lower ferritin elevation), which may provide them with potential protection in the development of morbidities associated with overweight.
Exploring magnetism in graphene by electronic charge and spin transport

De rol van ferromagnetische materialen is in de afgelopen eeuw enorm gegroeid, met name in de technologie voor dataopslag. Hun magnetische eigenschappen komen voort uit geordende rangschikking van de spins van elektronen. Deze spin ordening kan echter worden verstoord door thermische fluctuaties en in feite zijn er slechts drie elementen ferromagnetisch boven kamertemperatuur: kobalt, nikkel en ijzer. Na tientallen jaren onderzoek werd begrepen dat ferromagnetisme op kamertemperatuur alleen mogelijk is voor materialen met hoge concentraties magnetische atomen. Maar recentelijk werd er ook ferromagnetisme geclaimd in materialen zonder magnetische elementen, grafiet in het bijzonder, waardoor het gevestigde paradigma in twijfel werd getrokken. Dit nieuwe type ferromagnetisme kan worden verklaard door de aanwezigheid van niet-magnetische defecten, zoals roostervacatures of chemisch geadsorbeerde atomen, maar de oorzaak staat nog altijd ter discussie. De isolatie van grafeen, een goed geleidende tweedimensionale laag grafiet, leverde een nieuwe koolstof allotroop als testobject voor mogelijk defect geinduceerd magnetisme. Om een dergelijk magnetisme te verifieren kozen we voor de spin transport techniek in nanoschaal spin-valve devices. Hierin kunnen processen met invloed op spin coherentie worden gediagnosticeerd, wat inzicht biedt in de interacties tussen spins en magnetische momenten. Dit proefschrift presenteert een vergelijkende studie tussen spin transport in ongerept en defect (gehydrogeneerd) grafeen, maar ook in grafeen met een verhoogde concentratie van nucleaire spin. Ondanks dat de vraag over defect geinduceerd magnetisme in grafeen open blijft voor verdere experimentele opheldering, wordt een veelzijdige werkset geleverd om spin transport in aanwezigheid van interne magnetische velden van gevarieerde oorsprong te interpreteren.
What should we know when choosing feather, blood, egg or preen oil as biological samples for contaminants detection? A non-lethal approach to bird sampling for PCBs, OCPs, PBDEs and PFASs

Abstract Birds are considered as good bio-monitors and they can provide highly valuable data about the level of contamination in their habitat. During the design of biomonitoring studies one of the first issues after choosing species is the choice of biological material. Non-lethally collected samples have recently been gaining greater attention as they offer several ethical and practical advantages. However, not all sample matrices are suitable for biomonitoring of certain compounds. The main aim of this review is to bring to closer attention the utility of non-lethally collected samples from avian species, based on recent literature. The selected samples are feathers, blood, preen oil and eggs, as these are the types of biological materials most often chosen and may reveal birds’ exposure from their diet. It is not my intention to single out one of them as the ultimate tool for organic compound analysis, but rather to present their utility in order to support or advise on future choices, as a single matrix might not be sufficient to fully evaluate birds’ exposure. Therefore, this paper presents the current status of the non-lethal approach in avian species for determination of PCBs, OCPs, PBDEs and PFASs. Graphical abstract
Transcriptional Basis of Psoriasis from Large Scale Gene Expression Studies: The Importance of Moving towards a Precision Medicine Approach

Transcriptome profiling techniques, such as microarrays and RNA sequencing (RNA-seq), are valuable tools for deciphering the regulatory network underlying psoriasis and have revealed large number of differentially expressed genes in lesional and non-lesional skin. Such approaches provide a more precise measurement of transcript levels and their isoforms than any other methods. Large cohort transcriptomic analyses have greatly improved our understanding of the physiological and molecular mechanisms underlying disease pathogenesis and progression. Here, we mostly review the findings of some important large scale psoriatic transcriptomic studies, and the benefits of such studies in elucidating potential therapeutic targets and biomarkers for psoriasis treatment. We also emphasised the importance of looking into the alternatively spliced RNA isoforms/transcripts in psoriasis, rather than focussing only on the gene-level annotation. The neutrophil and blood transcriptome signature in psoriasis is also briefly reviewed, as it provides the immune status information of patients and is a less invasive platform. The application of precision medicine in current management of psoriasis, by combining transcriptomic data, improves the clinical response outcome in individual patients. Drugs tailored to individual patient’s genetic profile will greatly improve patient outcome and cost savings for the healthcare system.