esa-sceva/satcom-chunk-collection huggingface dataset:
## 3 Methods
### The NeuroPredict Platform
#### 3.1.2 The Architecture of the NeuroPredict Platform
By constantly acquiring knowledge from newly collected inputs, the NeuroPredict platform strengthens its predictive feature and reacts to changing requirements from patients;
* _Predictive modeling_ creates tailored predictive models by combining real-time IoMT data with clinical insights and cognitive assessments. These models allow for early identification of illness worsening, proactive management alternatives, and ongoing monitoring of patient health status. Cloud technology provides data scalability, security, and accessibility, enabling healthcare providers to make effortless changes and gain real-time insights. * **Application Layer*
* The NeuroPredict platform includes intuitive applications and interfaces designed for healthcare providers, patients, and caretakers, which boost accessibility and usability. * _Easy-to-use dashboards and decision-support tools for healthcare practitioners_: these tools turn intricate data into meaningful recommendations, enabling more informed clinical decisions and tailored patient care. * _Patient engagement applications_ support patients in taking an active role in the healthcare process by providing customized health insights, real-time feedback on health measurements, and educational tools. These applications enhance patient empowerment, compliance with medical care, and lifestyle changes that are necessary for properly managing PD, AD, and MS. The NeuroPredict platform is designed with its scalability as an important key feature, which allows easier incorporation of novel technologies and other medical requirements as they become pertinent. This versatility guarantees that the platform stays at the cutting edge of technology and creative thinking in healthcare, with the ability to meet changing clinical requirements and patient care standards. The NeuroPredict platform presents user interfaces that are intuitive for both healthcare providers and patients. These interfaces make it easier to navigate, visualize data, and connect with predictive models and analytics. Patient-centered design principles pledge that patients may actively engage in their healthcare management by receiving customized insights and alerts generated through the platform. Considering the sensitivity of medical data, the NeuroPredict platform prioritizes extensive security measures to protect patient information. Encryption protocols, access controls, and compliance with healthcare data regulations ensure confidentiality and integrity for all data processing and storage in the ICIPRO cloud.
# Implementation and Evaluation of HTTP/3 Connectivity Check Using Happy Eyeballs Algorithm
## 6 Conclusions  
In the early period of transition to HTTP/3, when the old HTTP is the mainstream, the current Alt-Svc method is considered as sufficient. However, when HTTP/3 begins to become the mainstream, Alt-Svc, which assumes connections to the old HTTP, is inefficient. Therefore, we have proposed a connectivity verification method for use during the transition period when HTTP/3 will become the mainstream. We improved the Happy Eyeballs algorithm and introduced a mechanism to use HTTP/3 preferentially in environments where HTTP/3 is available. In the evaluation experiment, we conducted connectivity tests using the proposed method on web servers that support both old HTTP and HTTP/3, and confirmed that HTTP/3 is selected with a high probability in environments where HTTP/3 is available, even when the old HTTP is used by the Happy Eyeballs algorithm. Unlike Alt-Svc, the proposed method can connect to web servers that do not support the old HTTP, and we believe that it will be an effective method in the latter half of the period of transition to HTTP/3. In the middle of the transition period, it is necessary to consider the combination of Alt-Svc and the proposed method, as well as the selection of the connectivity check method; thus we will consider this as future work. We will also investigate the application of the proposed method to methods other than HTTP.  
Conceptualization, T.M. and K.I.; methodology, T.M. and K.I.; software, K.I.; validation, T.M. and K.I.; formal analysis, T.M. and K.I.; investigation, T.M. and K.I.; data curation, K.I.; writing--original draft preparation, T.M.; writing--review and editing, T.M. All authors have read and agreed to the published version of the manuscript.
## 6 Empirical Studies
### Datasets  
We present our results on three datasets: World-roads, Twitter and LiveJournal (as well as publish our output on Friendster). As the names suggest, the first one is a geographic dataset while the other three are social graphs. All are big graphs, representatives of maps and social networks and we test the quality and scalability of our algorithm on them.  
\begin{tabular}{l l} World-roads & A subset of the entire world road network with hundreds of millions of vertices and over a billion edges. (Due to near-planarity, the average degree is small.) Edges do not have weights but vertices have longitude/latitude information. Our algorithms run smoothly on this graph in reasonable time using a small number of machines, demonstrating their scalability. \\ Twitter & The public graph of tweets, with about 41 million vertices (twitter accounts) and 2.4 billion (directed) edges (denoting followership) [44]. This graph is unweighted, too. We run all our algorithms on the undirected underlying graph. \\ LiveJournal & The undirected version of this public social graph (snapshot from 2006) has 4.8 million vertices and 42.9 million edges [4]. \\ Friendster & The undirected version of this public social graph (snapshot from 2006) has 65.6 million vertices and 1.8 billion [45]. \\ \end{tabular}  
Table 1 presents a summary for these datasets. Reference [5] contains graphs other than Twitter, which are either small or not public.
## 3 Results
### Allergen-Specific Immunotherapy
In a randomized trial, [PERSON] et al. showed that SLIT may reduce the dose of ICs needed in HDM allergic asthma [249]. The study enrolled 693 patients with no controlled asthma related to HDM who received placebo or HDM-SLIT tablets in addition to ICs and salbutamol. Results showed that HDM immunotherapy decreased asthma exacerbations during ICs reduction as compared with the placebo. Moreover, immunotherapy may also reduce the risk of suffering from asthma in patients with other allergic symptoms. In this context, [PERSON] et al. carried out a randomized clinical trial involving 812 children with grass pollen allergies who had no signs of asthma [250]. Results showed that the treatment with grass pollen SLIT decreased the risk of suffering asthma symptoms at the end of the study (3 years) and in the following 2 years. Regarding AR treatment, both SLIT and SCIT have similar efficacy. A systematic review compared both immunotherapies against placebo, and the two were more effective, with a similar quality of life score [251]. A recent meta-analysis evaluated multiple clinical trials also comparing SCIT versus SLIT. It concluded that SCIT was slightly superior in improving AR symptoms, however, the differences between the two groups were not significant [252]. Finally, ILIT consists of injecting the allergen directly into the lymph nodes. The main advantage of this treatment is that it considerably reduces immunotherapy time, lasting only a few months, and reduces the amount of allergen used [87], but this AIT hasbeen poorly studied in asthma [253]. A recent meta-analysis evaluated 17 clinical trials comparing ILIT against placebo. ILIT requires only three injections, spaced one month apart. This meta-analysis concluded that ILIT is safe and reduces both symptoms and medication use in patients with AR [254]. Another randomized, double-blind clinical trial evaluated the use of ILIT in patients with grass pollen rhinoconjugunctivitis. Patients were also treated with 3 ILIT injections and the results show a significant reduction in allergy symptoms [255]. Although ILIT appears to be a promising new therapy for AR, further clinical trials are needed to demonstrate its efficacy against standard immunotherapies.
## 3 Enhancing Supply Chain Security Through Blockchain Technology
### Security Advantages of Blockchain in Supply Chains
#### 3.1.4 Decentralization as a Foundation for Supply Chain Trust and Integrity  
Blockchain is the most widely implemented form of distributed ledger technology (DLT) [41]. Distributed ledger technology is a system where data are shared among multiple participants without the need for a central authority. Each participant maintains a copy of the ledger and can independently verify transactions using this copy. To ensure data integrity and prevent discrepancies, a trust mechanism is required. This mechanism functions through a consensus protocol, enabling all the participants within the network to collectively agree upon transactions [42]. The distributed ledger is independently managed by each node, allowing the creation of new blocks without reliance on a centralized authority [43]. The decentralized structure offered by blockchain technology can be integrated across various network types and use cases. Particularly in fields where data security and integrity are critical, the advantages provided by distributed ledger technologies become increasingly significant. In this regard, blockchain-based security mechanisms hold  
\begin{table}
\begin{tabular}{l l l} \hline \hline
**References** & **Focus Area** & **Advantages** \\ \hline
[33] & Interaction of verified stakeholders & \\
[33] & via smart contracts, enhancing trust and transparency. & Increased trust and transparency \\
[34] & Blockchain and smart contracts for secure product traceability system. & Data security, accessibility, tamper-resistant \\  & Ethereum-based smart contracts for transparent, reliable, efficiency and traceable supply chain management. & Transparency and traceability, security, cost and time savings, recycling tracking, cold \\ \hline \hline \end{tabular}
\end{table}
Table 2: Analysis of smart contract applications in supply chain management.  
considerable importance for sensitive industries, such as supply chain management. A blockchain-based decentralized application (DApp) has been developed to address counterfeiting issues within supply chains and has been utilized to enhance transparency in supply chain management [44].
## 2 Materials and Methods
### Characterization  
The phase purity and crystallinity of the samples were characterized using powder X-ray diffraction by a PANalytical X\({}^{\prime}\)Pert\({}^{3}\) diffractometer loaded with Cu-\(K_{\alpha}\) radiation (40 kV, 40 mA, \(\lambda\) = 1.5418 A). The morphology of the samples was characterized with a JSM-7001F field emission scanning electron microscope (SEM). Aggregation state and particle size of Pt were measured transmission electron microscope (TEM) images using a Tecnai G2 F20 S-Twin instrument. Elemental composition of the samples was obtained using ICP-OES apparatus (Thermo Scientific iCAP 7000 Series), after dissolving the ZSM-23 zeolites in strong acidic solution. XPS is widely used for the determination of the surface chemical composition, which was carried out on a Thermo ESCALAB 250 XI spectrometer, using an aluminum K Alpha (hv = 1486.6 eV) as the X-ray source, operating at 150 W. The external surface area, microporous volume, and microporous area were determined by the \(t\)-plot method. Basic properties of the different samples were carried out by N\({}_{2}\) physisorption measurements on a Micromerities ASAP 2460 at \(-\)196 \({}^{\circ}\)C. The coordination structure of the Al was detected by NMR to determine whether the Al entered the zeolite framework. \({}^{27}\)Al MAS NMR were recorded by 4 mm probe, with a rotational speed of 13 kHz and resonance frequency of 156.4 MHz. Pt dispersion was measured by CO pulse adsorption on a TP-5080 chemical adsorption instrument. The average size of Pt particle was calculated by assuming that one CO molecule was adsorbed by a Pt atom. H\({}_{2}\)-TPR was measured by the TP-5080, with TCD as detector for H\({}_{2}\). The acid strength of zeolites were measured by NH\({}_{3}\)-TPD. The quantities of Bronsted and Lewis acid sites were estimated by pyridine adsorption Fourier-transform infrared (Py-FTIR) in the range of 1400-1600 cm\({}^{-1}\), and B acid on the outer surface of zeolites was measured by dTBPy on a Thermo NICOLET 6700.
## 5 Simulation Results
The higher the level of interference the primary user can tolerate, the higher the transmission rate of the secondary user is because more power can be consumed by the secondary user as long as the interference to the primary user is lower than the threshold value. Obviously, when the interference level is relatively low, the sum rate of the secondary user is dominated by strict protection criteria imposed by the primary user. In this case, the secondary user does not use the full transmission power. When the interference level is high, the sum rate of the secondary user is governed by the total power budget. In this case, the interference caused by the secondary user to the primary user does not reach the maximum tolerable interference level. Thus, in the high interference threshold regime, the sum rate remains unchanged. In fact, at a low interference level, the power constraint is inactive while at a high interference level, the interference constraint condition is inactive. Figure 2: The impact of the average SNR on the sum rate under the interference threshold \(Q_{1}=Q_{2}=0\) dB. Then, the impact of relay position on the sum rate is drawn in Figure 4, where the relay moves between the source and destination. The key observation is that the relay prefers to stay at midway. This phenomenon shows that the relay can effectively help the source node in data transmission, especially in the scenario where the destination node is far from the source node. The influence of the average interference SNR \(q_{s,i}/N_{0}\) of the primary user on the sum rate of the secondary user is illustrated in Figure 5. The transmission power of the primary user is an interference from the perspective of the secondary user. Thus, the sum rate decreases when the primary user increases its transmission power. Finally, the impact of the power ratio \(P_{S}/P_{T}\) on the sum rate is described in Figure 6, where \(P_{R}=P_{T}-P_{S}\) is always maintained to ensure fairness under the separate power constraint. When \(P_{S}\) and \(P_{R}\) are subject to the total power constraint, they can adaptively adjust to find the optimal power allocation scheme. Thus, the sum rate of the total power case, which can be regarded as the upper bound of separate power case, always keeps flat in all ratios. Moreover, from a separate case, more power should be provided to the source node because sometimes the relay may turn off its transceiver when direct link is more efficient than relaying link. Figure 4: The impact of relay position on the sum rate, where the average SNR is 10 dB, \(d_{sr}\), and \(d_{0}\) are the distances between \(SS\) and \(SR\) and between \(SS\) and \(SD\), respectively. Figure 3: The effect of the interference constraint level on the sum rate, where the average SNR is 10 dB.
## 3 Results
### Conventional Maceration (CM)
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multicolumn{6}{c}{**Total Antioxidant Capacity (mmol Fe\({}^{2+}\)/L)**} \\ \hline \multirow{2}{*}{**Food Sample**} & \multicolumn{2}{c}{**CM (15 Days)**} & \multicolumn{2}{c}{**CM (30 Days)**} & \multirow{2}{*}{**P1**} & \multirow{2}{*}{**P2**} \\ \cline{2-2} \cline{5-6}  & **2.5 g** & & & & & \\ \hline \multicolumn{6}{c}{**Herbs**} \\ \hline Rosemary & 0.39 \(\pm\) 0.05 & 0.40 \(\pm\) 0.02 & 0.36 \(\pm\) 0.01 & 0.38 \(\pm\) 0.03 & NS & NS \\ Basil & 0.31 \(\pm\) 0.01 & 0.35 \(\pm\) 0.01 & 0.38 \(\pm\) 0.01 & 0.38 \(\pm\) 0.01 & * & NS \\ Sage & 0.89 \(\pm\) 0.30 & 1.54 \(\pm\) 0.07 & 1.05 \(\pm\) 0.25 & 1.63 \(\pm\) 0.07 & ** & *** \\ Lemon Balm & 0.33 \(\pm\) 0.02 & 0.40 \(\pm\) 0.02 & 0.41 \(\pm\) 0.01 & 0.54 \(\pm\) 0.02 & *** & *** \\ St. John’s Wort & 0.38 \(\pm\) 0.02 & 0.39 \(\pm\) 0.02 & 0.33 \(\pm\) 0.05 & 0.34 \(\pm\) 0.01 & * & NS \\ Pink Savory & 0.56 \(\pm\) 0.02 & 0.74 \(\pm\) 0.03 & 0.52 \(\pm\) 0.05 & 0.68 \(\pm\) 0.07 & * & *** \\ Dittany & 0.39 \(\pm\) 0.02 & 0.44 \(\pm\) 0.03 & 0.43 \(\pm\) 0.01 & 0.51 \(\pm\) 0.05 & ** & ** \\ \hline \multicolumn{6}{c}{**By-Products**} \\ \hline Pomace & 0.28 \(\pm\) 0.03 & 0.28 \(\pm\) 0.03 & 0.28 \(\pm\) 0.05 & 0.31 \(\pm\) 0.06 & NS & NS \\ Olive Leaves & 0.31 \(\pm\) 0.05 & 0.32 \(\pm\) 0.05 & 0.32 \(\pm\) 0.02 & 0.31 \(\pm\) 0.04 & NS & NS \\ Orange Peel & 0.35 \(\pm\) 0.01 & 0.37 \(\pm\) 0.02 & 0.34 \(\pm\) 0.03 & 0.33 \(\pm\) 0.01 & NS & NS \\ Lemon Peel & 0.35 \(\pm\) 0.03 & 0.35 \(\pm\) 0.02 & 0.33 \(\pm\) 0.01 & 0.32 \(\pm\) 0.02 & NS & NS \\ Pomegranate Peel & 0.28 \(\pm\) 0.01 & 0.28 \(\pm\) 0.01 & 0.33 \(\pm\) 0.04 & 0.35 \(\pm\) 0.01 & ** & NS \\ Mandarin Peel & 0.35 \(\pm\) 0.02 & 0.34 \(\pm\) 0.03 & 0.33 \(\pm\) 0.24 & 0.29 \(\pm\) 0.01 & * & NS \\ \hline \multicolumn{6}{c}{**Data are expressed as mean \(\pm\)SD. P1: statistical differences between samples prepared with conventional maceration (CM) for 15 and 30 days. P2: statistical differences between samples of different mass (2.5 g and 5 g) macerated for the same day period. Significance level ***\(p\) < 0.001, **\(p\) < 0.01, *\(p\) < 0.05, NS: non-significant (\(p\) > 0.05).**} \\ \hline \end{tabular}
\end{table} 
Table 4: Total antioxidant capacity of fortified refined olive oils using conventional maceration (CM).
## 2 Working Conditions Analysis of ASIST  
### Introduction to Working Principle  
ASIST is mainly composed of the Main Power Unit (MPU), Light Indicator, Laser Sources, Camera, Probe Rod, Rapid Secure Device (RSD), and Track and Main Controller. Figure 2 shows the composition diagram of the ASIST system. According to the different working stages, the working principle of ASIST can be described as follows:  
1. Approach stage  
After receiving the landing instruction, the helicopter approaches the ship according to the obtained ship position information. The laser sources installed on both sides are collected by the camera installed on the deck when the helicopter reaches the upper part of the ship deck. The position of the helicopter relative to the ship is calculated in real time. The light indicator then guides the helicopter to the designated landing area.  
2. Hover stage  
The helicopter hovers over the landing area as directed by the light indicator, waiting for landing instructions.  
3. Capture stage  
The helicopter starts to land when the external environment meets the capture requirements. RSD moves forward rapidly, driven by the MPU, and captures the helicopter's probe rod by the claw installed on the RSD when the helicopter tires contact the deck.  
4 Secure stage The MPU and RSD work together to lock the helicopter to the deck after the claw captures the probe rod. If necessary, this process will be assisted by the ropes.
5 Traction stage The operator controls MPU and RSD to tow the helicopter to the desired position when the external environment meets the traction requirements.
## 3 Results and Discussion
### Analysis of Aroma Active Compounds in Xiaoqu Liquor  
Both AEDA and OAV can be used to effectively evaluate the aroma of flavor substances in a single matrix. However, neither of the two methods considers the possible interactions among different flavor substances in the same matrix, such as the enhancement and inhibition effects that have been confirmed by previous studies. The compounds with higher OAVs are usually considered to have more significant contributions to the overall aroma of the sample, and those with OAVs above 1 are generally regarded as aroma active compounds. As shown in Table 4, by calculating and comparing the OVAs of the 57 compounds, a total of 32 compounds were found to have OAVs above 1 in Xiaoqu liquor, and the number is smaller than that in Daqu liquor (50 compounds) [11]. The top 10 compounds in OVAs were ethyl octanoate, acetaldehyde, isoamyl acetate, 1,1-diethoxyethane, ethyl hexanoate, valeric acid, dimethyl trisulfide, 1-octen-3-ol, ethyl acetate, and isobutanol. All together, there were 13 ester compounds, which is in agreement with the fact that ester aroma is dominant in the overall aroma of Chinese liquor [16]. It has been reported that ester compounds have important influence on the sensory characteristics such as the dominant aroma and flavor of Chinese liquor and contribute to the fruity and floral aroma of fen-flavor liquor [17]. In Xiaoqu liquor, the contents of ethyl acetate and ethyl lactate were the highest, and some other ester compounds in lower contents had great contributions to the overall flavor due to their lower odor threshold values and higher OAVs, such as ethyl octanoate (sweet aroma like brandy), isoamyl acetate (representative of sweet aroma in fruit  
\begin{table}
\begin{tabular}{l c c c c c c} \hline \hline
**No.
# In Situ and Partial In Situ Synthesis of Cellulose Magnetic/Maghemite Composites
## 2 Materials and Methods
### Preparation of Cellulose/Magnetite Composites  
Cellulose/magnetite/maghemite (CM) composites were prepared through a multistep procedure as follows. First, a potassium hydroxide solution with a mass of eight molars was prepared. Then, the iron sulfate, together with the potassium hydroxide solution, is added to a Schott-Duran Berzelius glass (100 mL in volume) with 40 mL of water used as an ultrasound bath. According to other previous works [5; 6; 8], 40 mL of water were chosen as the ideal quantity for the technical specifications of the ultrasound generator used. (The ultrasonic probe should be immersed in a liquid medium for at least 40% of its length, and the distance between it and the glass walls should be as small as possible). According to Table 1, cellulose is added at the start of the 30-min synthesis or in the middle of the synthesis (in the 15 th minute), in the case of partially in situ synthesis. From a quantitative point of view, each synthesis involved the use of 2 g of iron sulfate, 2 g of cellulose, and 8 mL of potassium hydroxide solution (eight molars). Ultrasonication is performed for 30 min, with the wave amplitude adjusted to 40% from the generator's maximum power (electrical power of 750 W converted into ultrasonic at a frequency of 20 kHz). After 30 min of ultrasonication, the samples were then centrifuged, washed with Milli-Q water first, and then washed with ethyl alcohol (to remove sulfate ions), centrifuged again, and dried in a vacuum oven at 40 \({}^{\circ}\)C for 24 h. The final samples are fine brown powders.