esa-sceva/satcom-chunk-collection huggingface dataset:
## 3 Results and Discussion
### Application of the Mutants in Cheese Production  
All three optimized mutants were used in a micro-scale approach to Feta-type brine cheese production, followed by sensory and SPME-GC-MS analysis. The cheeses were produced with the addition of 1 U PCI_Lip WT, F91L, L305A, and 0.7 U of L302G. The sensory evaluation after 30 days of ripening showed differences primarily regarding the taste category rather than in the texture or the smell (Table 3). While a reference without the addition of any lipases showed neutral sensory properties, the reference produced with opti-zym z10 uc possessed the desired piquant, goaty smell and taste.  
The three cheeses produced with PCI_Lip mutants had different sensory properties among themselves and in comparison to the WT. While the WT was described as comparable to the opti-zym z10 uc reference, the L305A mutant had a more intense taste and possessed a more pleasant acid profile than the cheeses produced with PCI_Lip or other mutants. Overall, the cheese with the L305A mutant was ranked as the best cheese in this initial trial. The SPME-GC-MS analysis revealed vFFA profiles that support the results of the sensory evaluation. Even though the differences between the WT and the mutants are smaller than indicated by the photometric assays, especially for F91L, shifts towards medium-chain vFFAs could be observed for L302G and L305A. The cheese produced with L305A showed a vFFA profile that resembles that of the reference cheese obtained with opti-zym z10 uc regarding the ratios between the different vFFAs. These findings are consistent with the L305A mutant cheese being ranked as the most appealing during this study (Figure 2).  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & **No Lipase** & **Opti-Zym z10 uc** & **WT** & **F91L** & **L302G** & **L305A** \\ \hline Appearance & & & \multicolumn{2}{c}{Typically cream-colored, crumbly} & & \\ Texture & Firm, dry & Firm, dry & Söfter/creamier & Söfter/creamier & \multirow{2}{*}{Firm, dry} & \multirow{2}{*}{Firm, dry} & \multirow{2}{*}{Firm, dry} \\  & & Typical for goat & & & & \\  & & lipase, intense, & & & & \\ Smell & Neutral, milky & aromatic, goaty, & & & & \\  & strong, & & & & \\  & comparable & & & & \\  & & to parmesan & & & & \\  & & Typical for goat & & & & \\ Taste & Neutral, & & & & & \\  & slightly sour & & & & \\  & & lipase, intense, & & & & \\  & aromatic, piquant, & & & & \\  & goaty, persistent & & & & & \\  & & afterstate & & & & \\  & & & & & \\ \hline \hline \end{tabular}
\end{table}
Table 3: Results of the sensory evaluation of different Feta-type brine cheeses produced with the addition of the reference PGE opti-zym z10 uc, PCI_Lip WT (1 U), F91L (1 U), L302G (0.7 U), and L305A (1 U) and of a cheese without the addition of lipase after 30 days of ripening. The sensory properties were analyzed by five trained panelists at optifern.
## 1 Introduction
### Related Works  
The authors in [11] considered an emergency communication scenario assisted by a UAV relay based on the NOMA technique. A hybrid uplink problem was investigated in [12] to integrate NOMA into orthogonal multiple access (OMA), in which the authors allocated energy resources efficiently to satisfy the QoS of users. The authors in [13] analyzed the performance of the NOMA-relevant strategy on an uplink network with statistical delay constraints and compared it with NOMA and OMA in terms of energy efficiency. Moreover, the maximum coverage ratio of the double-layer airborne access VANETs network has been researched in [14]. A survey of an airborne communication network including HAP-based, LAP-based, and hybrid UAV-HAP networks was conducted in [15]. The authors in [16] integrated HAP as a reliable relay into the FSO link to achieve higher reliability of the space-air-ground integrated network (SAGIN). A heterogeneous statistical QoS provisioning network was proposed to provide various real-time services in HAP and UAVs [17]. The authors in [18] designed a hierarchical federated learning algorithm to solve the content caching issues between an HAP and multiple UAVs.  
Due to the broadcast and line-of-sight nature of the wireless propagation environment, confidential information is vulnerable to eavesdroppers during transmissions. Under this condition, the security of NOMA-enabled IoT networks cannot be guaranteed. However, Refs. [11; 12; 13] did not consider the coverage capability of UAVs and the HAP collaboration framework. Moreover, the NOMA technology is not introduced to improve the spectrum efficiency of the network in [15; 16; 17; 18]. Furthermore, all of the above authors ignore the information security issue of uplink transmissions caused by the instability and vulnerability of wireless channels.
# Securing IPv6 Neighbor Discovery Address Resolution with Voucher-Based Addressing
## 5 Discussion
### Other Security Considerations
The receiving node may choose to verify the neighbor's IP address if enforced by a VBA implementation, but it is not required. VBA is specifically designed for the prevention of neighbor spoofing attacks and is not concerned with policing incoming traffic that does not require an NDAR exchange.
## 4 Results and Discussion
### Two-Dimensional Examples
#### 4.1.2 The Verification of Iterative Convergence  
In addition to the value of area fraction, we also investigate the convergence of objective value and area constraint during the numerical computation to ensure the robustness and uniqueness of the solution. The accuracy of the area fraction is set to \(10^{-5}\) and convergence performances of topology optimization for 2D drag reduction problem in laminar flow conditions are good. Figure 5 shows the convergence history and evolution curve of the iterative solution of the 2D model obtained by numerical computation with the Reynolds number of 200, the mesh density of 30, and the area fraction of 0.8. It can be observed that the initial topology is generated from the set central fixed point, and as the number of optimization iterations grows, the density projection gradually converges to 0 and 1 and the topology is gradually clear and complete. In fact, after the 180 th iteration equivalent to \(\beta\geq 2^{6}\), the objective value (0.3014) is basically unchanged and does not differ much from the result (0.2997) of the 315 th iteration, but the density projection of the latter is closer to the 0-1 binary distribution and the results are clearer. Furthermore, the results show a convergence history with overall monotonicity and basically no local jumps caused by the projection operation. Therefore, the robustness of the numerical iterative solution can be confirmed and the structure is stable in the current setup conditions.  
Figure 4: Drag values change with area fraction in different Reynolds numbers.  
Figure 3: Structures of the different area fractions for Reynolds numbers (Re) of 200 and 250.
## 3 Results
### Core Microbiome Analysis  
Figure 2 shows the prevalence of taxa in terms of abundance. Abundant species belonged to _Firmicutes_, _Proteobacteria_, and _Bacteroides_. In this study, 29 species were detected from all subjects in denture plaque and the tongue. Table 1 shows the species detected from all subjects, and Table S3 shows the 15 species in plaque and 7 species in the tongue. The most abundant bacteria were Firmicutes at the phylum level and the _Streptococcus salivarius_ group at the species level in both plaque and the tongue. The _Fusobacterium nucleatum_ group was detected from all subjects. A heatmap of the candidates for the core microbiome is shown in Figure S3.  
Figure 1: Proportion of phyla in denture plaque and the tongue: (**A**) total, and (**B**) individual subjects.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Phylum**} & \multirow{2}{*}{**Genus**} & \multirow{2}{*}{**Species**} & \multicolumn{2}{c}{**Abundance (\%)**} \\ \cline{3-4}  & & & **Plaque** & **Tongue** \\ \hline \multirow{8}{*}{_Streptococcus saliuria_ group} & _Streptococcus saliuria_ group & 9.72 & 25.06 \\  & & _Streptococcus sinensis_ group & 4.12 & 13.22 \\  & & _Streptococcus pneumoniae_ group & 4.46 & 1.92 \\  & _Streptococcus_ parasanguinis_ group & 2.30 & 3.83 \\  & _Streptococcus gordonii_ group & 4.80 & 0.62 \\  & _Streptococcus peroris_ group & 0.82 & 1.03 \\  & _Streptococcus sanguinis_ & 0.87 & 0.08 \\  & _Streptococcus\_uc_ & 0.40 & 0.32 \\ \hline \multirow{8}{*}{_Firmicutes_} & _Veillonella dispar_ & 5.63 & 4.89 \\  & _Veillonella_ & _Veillonella parvula_ group & 7.40 & 0.51 \\  & _Veillonella atypica_ & 1.90 & 1.95 \\  & _Veillonella\_uc_ & 0.05 & 0.09 \\ \hline _Gemella_ & _Gemella haemolysans_ group & 0.23 & 0.54 \\ \hline _Granulicatella_ & _Granulicatella adiacens_ group & 0.43 & 1.67 \\ \hline _Lachnoanerarobachulum_ & _Lachnoanerarobachulum_ oracle group & 0.13 & 0.08 \\ _Lactobacillus_ & _Lactobacillus salivarius_ & 3.95 & 0.33 \\ _Megasphara_ & _Megasphaera micronuciformis_ & 0.29 & 0.07 \\ _Moryella_ & _Stomatobaculum longum_ & 0.17 & 0.22 \\ \hline \multirow{8}{*}{_Actinobacteria_} & _KE952139\_s_ & 0.71 & 2.39 \\  & _Actinomyces_ & _CAGY\_s_ & 0.11 & 0.30 \\  & & _[RMV\_s]_ & 0.02 & 0.37 \\ \cline{2-4}  & _Atopobium_ & _Atopobium parvulum_ & 0.76 & 0.27 \\ \cline{2-4}  & _Rothia_ & _Rothia mucilaginous_ & 0.65 & 17.17 \\  & _Rothia dentocariosa_ & 4.34 & 0.52 \\  & _Rothia\_uc_ & 0.02 & 0.10 \\ \hline \multirow{2}{*}{_Bacteroidetes_} & _Prevotella histicola_ & 3.95 & 0.54 \\ \cline{2-4}  & _Prevotella jejuni_ & 0.32 & 1.06 \\ \cline{2-4}  & & _Prevotella salivue_ & 0.35 & 0.08 \\ \hline _Fusobacteria_ & _Fusobacterium_ & _Fusobacterium nuclatum_ group & 0.37 & 0.04 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Bacteria detected in denture plaque and tongue from all subjects.  
Figure 2: Prevalence of taxa in terms of abundance for 14 different phyla.
# Immersive Virtual Reality Experience of Historical Events Using Haptics and Locomotion Simulation
## 1 Introduction  
Museums as an institution is a relatively new concept that started by exhibiting private collections and only in recent years has their form begun to alter towards a more educational aspect. Nowadays, museums need to overcome two main issues: authenticity and new museology, meaning that they need to provide an authentic and enhanced experience. These challenges require museums to use a variety of means to transfer knowledge in addition to the simple display of objects. Virtual reality is coming to meet this new need, enabling the user to perceive the interactive knowledge in fully or partially immersed environments. Many museums have already launched VR applications such as The Tate Modern, Museo del Prado, and Paris Museum [1].  
A virtual learning environment (VLE) in educational technology is a platform containing the digital aspects of courses of study, usually within educational institutions [2, 3]. Such an environment includes resources, activities, and interactions within an educational subject and presents the different stages of evaluation. It can also be integrated with other institutional systems. Virtual learning is the process of learning through computers, tablets, other technological systems, and/or the internet and can be either asynchronous or synchronous. The educational activities can take place online where teachers and learners are in different places or physically in the educational institution. Virtual learning has some very important characteristics and benefits. There is unlimited remote access to countless resources worldwide, every user can have a personalized learning experience based on their needs, level of competence, preferred learning process, it is not bound by time, place, cost, and so forth.
# A Study of 5G Edge-Central Core Network Split Options
## 5 Testbed Implementation and Evaluation Results
### Local Offload Split Model Measurements  
For the local offload split model, the Open5 GCore components were split in three virtual machines: one on the edge including the UPF functionality and two on the central server, one including all the components in the control plane and the second one including a UPF for the data traffic connected to the data network.  
The measurements were executed first over-the-air satellite network and secondly locally where the edge and the central node were co-located, using a local Ethernet backhaul. Each of the measurements were executed 25 times. A median delay of the different core network procedures is presented in Table 1.  
The delay of the registration and of the PDU Establishment procedures was in the expected range, due to the specific delays of the satellite network. As these procedures are rather rare, being practically executed only when the device connects to the network for the first time, their effect is rather limited.
## 1 Introduction
Therefore, they cannot be updated in time when system characteristics change, resulting in a decrease in modeling accuracy. In this paper, an online 3D fuzzy modeling method based on the stochastic gradient descent method with the online spatiotemporal multi-output support vector regression method (3D-OMSVR-SGD) is proposed. The method firstly takes the whole spatial domain as a whole and models the 3D fuzzy system online by SVR with the spatial kernel function, and adopts stochastic gradient descent-based variable-parameter SVR to realize incremental online learning. The model can be dynamically adjusted to reflect the changes in system behavior, overcoming the shortcomings of the traditional offline modeling methods that cannot adapt to changes in the system. The main contributions are summarized as follows:  
* An online 3D fuzzy spatial multi-output support vector regression learning modeling method based on SGD is proposed to effectively address the nonlinear and time-varying dynamics of DPS;
* The parameters \(C\) and \(\varepsilon\) in the model are dynamically adjusted adaptively with the changes in online data to enhance the adaptability of system characteristics;
* The SGD method is introduced to achieve real-time updates of the learning parameters and bias terms. The rest of the paper is organized as follows: Section 2 is a description of the research question. Section 3 details the proposed 3D-OMSVR-SGD. The results of the experiment are discussed in Section 4. The conclusion and future work are summarized in Section 5.
# Intelligent Reflective Surfaces for Wireless Networks:
## 3 IRS-Assisted Wireless Networks
### Channel Estimation  
The channel estimation is a challenging problem since the selection of the phase-shift matrix at the IRS is based on the acquired channel state information (CSI). The direct  
Figure 4: Downlink multiuser multi-stream and multi-IRS-aided system in LOS conditions.  
Figure 3: Uplink multiuser and multi-IRS-aided system in LOS conditions.  
transmitter-to-receiver link can be determined by means of traditional channel estimation strategies based on pilot transmission according to a training sequence. However, the estimations for the transmitter-to-IRS and the receiver-to-IRS links are more challenging since the IRS is usually assumed to be a totally passive element, i.e., it is not feasible to enable a pilot transmission from the IRS to perform channel estimation. Furthermore, when considering a large number of meta-atoms, a high-dimensional channel must be estimated, which demands high requirements in terms of computation, power consumption, and time. Some works have considered this problem as a key issue to enabling the IRS technology for wireless communication systems.
# Feasibility Study on Earthquake Prediction Based on Imending Geomagnetic Anomalies
## 4 Discussion
### Limitations of This Method  
The biggest limitation of this method is its small monitoring range. At present, monitoring can only be carried out in the area around the magnetic strength sensing network, which can mainly be used to predict the occurrence time of earthquakes within a 500 km radius of the observation area, and can provide short-term and imminent predictions within a week. It is not yet possible to provide predictions of the magnitude and epicenter of earthquakes.
## 2 Materials and Methods
### EDXRF Measurements  
EDXRF spectra were acquired with Shimadzu EDX-800 (Shimadzu Corp., Kyoto, Japan) energy dispersive X-ray fluorescence spectrometer using an Rh anode X-ray tube. The measurements were performed with two different X-ray tube voltages: 15 and 50 kV. The lower voltage was employed to acquire the spectra of light elements (Na-Sc), and the higher one was used to analyze the heavier elements. The spectra registered with 15 kV voltage (XRF energies 0-20.48 keV) will be referred to hereafter as light channel. The spectra registered with 50 kV voltage (XRF energies 0-40.96 keV) will be referred to hereafter as heavy channel. The spectra accumulation time was 100 s. The measurements were performed in the air. The collimator spot size was 1 cm in diameter.
# RAC1B: A Rho GTPase with Versatile Functions in Malignant Transformation and Tumor Progression
## 6 Regulation of Signaling Pathways by RAC1B
### Inhibitors  
Pharmacologic inhibitors are important tools for the dissection of or therapeutic intervention with signaling pathways and are also available for RAC1 and RAC1B.  
EHT 1864 was identified to possess high affinity binding to both recombinant RAC1 and recombinant RAC1B, and this association promoted the loss of bound nucleotide, inhibiting both guanine nucleotide association and Tiam1 Rac GEF-stimulated exchange factor activity in vitro. EHT 1864, therefore, arrests RAC1 and RAC1B in an inactive state, preventing its binding to downstream effectors [65].  
NSC23766 constitutes a RAC-specific small-molecule inhibitor which effectively inhibits RAC1 binding and activation by Trio or Tiam1 in vitro without interfering with RAC1 interaction with BcrGAP or PAK1. In human prostate cancer PC3 cells, NSC23766 inhibited processes that require endogenous RAC1 activity like proliferation, anchorage-independent growth and invasion [66].  
[PERSON] and colleagues tested--in a nucleotide binding competition assay against RAC1 and RAC1B in a cellular Rac GTPase activation assay--a series of berberine, phenantridine and isoquinoline derivatives for their Rho GTPase nucleotide inhibitory activity. The insertion of exon 3b in RAC1B was shown to be sufficient to introduce a conformational change that allow four compounds (#4, #21, #22, #26) to exhibit selective inhibition of RAC1B over RAC1 [67].  
As mentioned briefly above, ibuprofen has been shown to inhibit RAC1B expression in HT29 cells and RAC1B-dependent tumor growth of HT29 xenografts. This drug acts through a COX inhibition-independent mechanism by interfering with the alternative splicing event rather than by directly inhibiting RAC1B activity. Ibuprofen has been proposed to represent a highly specific and efficient inhibitor of RAC1B overexpression in colorectal tumors [27].
# A Novel Hybrid Model for the Prediction and Classification of Rolling Bearing Condition
## 4 Experimental Analysis
### Experimental Results and Analysis
#### 4.2.2 Prediction Based on Hybrid Prediction Model
Furthermore, our hybrid prediction method with VMD could provide a superior scheme for machinery condition monitoring.
# Effects of Vehicular Communication on Risk Assessment in Automated Driving Vehicles
## 4 Simulation Studies: Effects of V2V Communication  
We have used Matlab/Simulink 2017a which is introduced in Natick, MA, United States - (9 Mar 2017) by Mathworks, connected to Carsim8.02 software which is introduced in Ann Arbor, MI, United States (2010) by Mechanical Simulation Corporation, for our simulations in order to validate the effectiveness of the V2V communication on the automated vehicles. The human-centered risk assessment has been used for the simulation studies. It considers the intervention of two control functions and its perception performance is investigated on the safe triangle analysis. A predicted collision risk with two predicted human reaction time, and each corresponding intervention timing of two control functions are the main performance metrics. To show the over/under estimate of the conventional radar only system by comparing with the V2V communication, the predicted risk with the reaction time is implemented. The active safety intervention moment shows a delay of the decision making process.  
Two simulation studies are investigated in this paper. The first is the remote vehicle's sudden braking right after the parked remote vehicle's sudden cut in as seen in Figure 6a. In addition, Figure 6b shows the scenario for the response of the host vehicle when the preceding remote vehicle applies the hard brake on the highway.  
In Figure 6a, the host vehicle is cruising at a constant speed of 30 km/h and the remote vehicle is suddenly braking right after the parked remote vehicle cutting in with the range of 15 m. As demonstrated in Figure 6a, the remote vehicle applies hard brake of 0.35 g.
## 4 Discussion  
### Mixolab Test  
In the previous case of the Czech commercial flour testing on the Mixolab, the time of reaching the C1 torque point was prolonged by about 4.72 to a value of 8.47 min. Similarly, the dough stability as resistance to over-kneading was supported in the same direction (11.53 min) [39]. Durum wheat is known through a different proportion of gliadins and glutenins, and thus a diverse rheological behavior of non-fermented dough. In Northern Italy in the year 2014, common and durum wheat reached a shorter dough development time (1.8 and 1.3 min) than both the Czech samples, but different stability (10.0 and 3.2 min, respectively) [40]. The addition of 1 wt.% and 3 wt.% of THY into wheat flour magnified the Farinograph dough development time of wheat flour from 1.9 min to 8.3 and 15.9 min, respectively. An insignificant effect was evaluated for the same doses of wheat germ oil (from 1.9 min to 2.0 and 1.8 min) [30]. The authors also tested further essential oils from the seeds of black currant and black cumin, and the Farinograph test results ended between the mentioned ones recorded for the wheat germ and THY. The dough stability of their wheat flour was 8.3 min, and the listed plant oils varied that value both negatively and positively (5.3-15.5 min). For bakers, more important knowledge was gained in terms of dough softening, which did not overcome the value of 40 Brabender units (BU) for the control wheat flour. For the industrial production of the Central European types of leavened small-bread as rolls and buns, the recommended Farinograph dough development time oscillates around 3.0 min with dough softening degrees up to 100 BU.