esa-sceva/satcom-chunk-collection huggingface dataset:
## 4 Problem Formulation
### Network and Connection Requests Description  
We use a connected graph \(\mathbf{G}=\{\mathbf{V},\,\mathbf{L}\}\) to describe the MCF-EONs topology, where \(\mathbf{V}=\{\,v_{i}|i=1,2,\ldots,|V|\}\) is the set of bandwidth-variable optical cross nodes with \(|V|\) being the total number of nodes in the network topology, and \(\mathbf{L}=\{l_{ij}|i\
eq j,i,j\in V\}\) represents the optical fiber links set with \(l_{ij}\) being the bidirectional fiber link between node \(v_{i}\) and node \(v_{j}\). Let us denote the cores set on each optical fiber link by \(\mathbf{C}=\{c_{n}|n=1,2,\ldots,|\mathbb{C}|\}\) and the set of FSs on each optical fiber link by \(\mathbf{F}=\{f_{x}|x=1,2,\ldots,|\mathbb{F}|\}\), where \(|\mathbb{C}|\) and \(|\mathbb{F}|\) are the number of cores in MCF and the total number of FSs on each core, respectively.  
This paper studies static traffic, i.e., their arriving time, duration, and request bandwidth in the network are all known. It is assumed that the core occupied by each request can vary on different links along the selected path. Let \(\mathbf{R}=\{r_{k}|k=1,2,\ldots,|R|\}\) denote the set of connection requests, where \(|R|\) is the total number of requests. We use \(r_{k}=\left(s_{k},d_{k},T_{k}\right)\) to represent the \(k\)-th request, where \(s_{k}(s_{k}\in\mathbf{V})\), \(d_{k}(d_{k}\in\mathbf{V})\), and \(T_{k}\) are its source node, destination node, and the number of required FSs, respectively.
## 3 Results and Discussion
### Water Adsorption Studies  
One of the drawbacks of using MOFs in adsorption applications is the competition between the target gases and water molecules [31]. Many MOFs have high water uptakes [32]. For example, [PERSON]'s group reported an aluminum bearing MOF capable of adsorbing water from desert air with an incredible efficiency [33].  
Water adsorption isotherms measured at 25 \({}^{\circ}\)C in order to ascertain the amount of water adsorbed at different relative humidity (RH, 20-98%) As expected, both HKUST and MgMOF-74 show an increase in water adsorption with increasing RH, reaching a total of 36.1% and 31.5% mass uptake at 98% RH since both materials exhibit large pores and surface areas (Figure 2 and Figure S1). In contrast, while ZnMOF-74 shows a similar water adsorption profile (with a total of 24.5%), Co- and NiMOF-74 present very small water uptakes (under 6%), even at high RH (98%). The metal center has a vital role in the water adsorption process. Moreover, it is observed a significant hysteresis behavior in the adsorption/desorption process of Mg- and ZnMOF-74 in comparison to Co- and NiMOF-74 (with the ratio between adsorption/desorption ca. two times higher for Mg- and ZnMOF-74).  
Previous reports show a correlation between the hysteresis water vapor sorption and desorption isotherms curves with increasing cation radii [34]. However, this correlation is not observed here, since nickel and cobalt show a lower hysteresis than magnesium and yet have a larger size. In this case, the adsorption mechanism is not achieved mainly by interaction with the metallic nodes. As previously reported, water molecules can also interact with the material itself via hydrogen bonding, which ultimately can lead to a change in this trend. [35; 36].  
Figure 1: Powder X-ray diffractograms and SEM images of (**a**) HKUST and (**b**) MOF-74 family.
## 4 Discussion  
The results obtained in this study confirm that a high perceived economic impact, a low environmental impact, and a high socio-cultural impact have a positive and significant effect on satisfaction with the public administration of tourism.  
The positive influence of the economic impact supports hypothesis H1 as it explains a variance of 41.87%. Therefore, it is stated that the perception of a high economic impact can be translated into a clear improvement in the satisfaction with the public administration of tourism. This result is in line with previous studies concerning the need to include economic impacts in the assessment of this public administration [9; 18; 20; 24]. However, our study is a pioneer in assessing the economic impacts from a subjective perspective, based on the opinion of the residents in the locality analyzed. In this way, if the residents perceive that tourism really contributes to economic development and the improvement of the citizens' standard of living, they will be more satisfied with the public administration and therefore more inclined to tolerate the discomorts that coexistence with tourists can generate.  
As to the socio-cultural impact, as hypothesis H3 postulates this also shows a significant positive influence on satisfaction with the public administration of tourism, explaining 13.46% of the satisfaction. This result confirms that the social impacts of tourism are important in confirming the residents' satisfaction. They value not only the economic effects on the locality but also the impacts on its society and culture. In this, many studies are in accordance, but this paper is a pioneer in revealing that the residents really value these impacts, even more than those that are environmental.  
Finally, the perceived environmental impact also has a significant influence on satisfaction with the public administration of tourism, so hypothesis H2 is supported as well and explains 9.35% of the variance of the satisfaction with the public administration of tourism. In this sense, we can therefore state that if the residents perceive a low environmental impact in the city due to the tourism activity, they will be satisfied with the public administration of tourism. This result is also innovative, as it uses measurements of the residents' subjective perception, though the environmental impact is considered relevant in all the previous studies analyzed [9; 18; 20]. We must highlight the fact that the residents accord this dimension less important for satisfaction with the administration of tourism than the rest of the impacts. This is perhaps a reflection of a scant development of environmental awareness.
# Target Localization Based on Bistatic T/R Pair Selection in GNSS-Based Multistatic Radar System
###### Abstract  
To cope with the increasingly complex electromagnetic environment, multistatic radar systems, especially the passive multistatic radar, are becoming a trend of future radar development due to their advantages in anti-electronic jam, anti-destruction properties, and no electromagnetic pollution. However, one problem with this multi-source network is that it brings a huge amount of information and leads to considerable computational load. Aiming at the problem, this paper introduces the idea of selecting external illuminators in the multistatic passive radar system. Its essence is to optimize the configuration of multistatic T/R pairs. Based on this, this paper respectively proposes two multi-source optimization algorithms from the perspective of resolution unit and resolution capability, the Covariance Matrix Fusion Method and Convex Hull Optimization Method, and then uses a Global Navigation Satellite System (GNSS) as an external illuminator to verify the algorithms. The experimental results show that the two optimization methods significantly improve the accuracy of multistatic positioning, and obtain a more reasonable use of system resources. To evaluate the algorithm performance under large number of transmitting/receiving stations, further simulation was conducted, in which a combination of the two algorithms were applied and the combined algorithm has shown its effectiveness in minimize the computational load and retain the target localization precision at the same time.  
target localization; T/R pair selection; multistatic radar; Covariance Matrix Fusion Method; Convex Hull Optimization Method IEEEexample:BSTcontrol
## 4 Results
### Kerogen Type and Maturation  
A clear correlation exists between the type of organic matter and the hydrogen index (HI), which allows for the classification of organic matter based on this index [31; 44; 45; 47; 48; 49]. The identification of different kerogen types can be discerned through the examination of hydrogen index (HI) and oxygen index (OI) values within specific formations [45; 47; 49]. However, when the degree of thermal evolution of organic matter is high, the generation and excretion of hydrocarbons consume hydrogen and oxygen elements, leading to the loss of reference significance for HI-OI identification of organic matter types [50]. The type of kerogen determines the hydrocarbon production capacity and hydrocarbon products of organic matter [51]. The kerogen pyrolysis results indicate low values for the HI and the value of Tmax is excessive (Figure 9a). Following the removal of anomalies with excessive Tmax, the organic matter types present in P\({}_{1\text{-}2}q\) are predominantly Type III and Type II\({}_{2}\), with a minor presence of Type II\({}_{1}\) and Type I (Figure 9b). However, the hydrocarbon source rocks of P\({}_{1\text{-}2}q\) exhibit a high degree of thermal evolution and a shift in pyrolysis parameters, making it challenging to determine the kerogen type.  
The thermal maturity of source rocks can effectively be determined by Ro, Tmax, and production index (PI) [44; 52; 53]. The vitrinite reflectance is a useful indicator of the stage of thermal evolution and organic matter maturity of casein [54; 55]. The Ro distribution of P\({}_{1\text{-}2}q\) in the Qimeigan section exhibits a range of values between 1.14% and 1.16%, with an average value of 1.15% [28]. The Ro distribution of P\({}_{1\text{-}2}q\) in the Heshilafu section exhibits a range of values between 0.90% and 1.95%, with an average value of 1.43%. The Ro distribution of P\({}_{1\text{-}2}q\) in the Aitegou section ranges from 1.50% to 2.00%, with an average value of 1.95% [19]. In conjunction with the aforementioned factors, the Permian hydrocarbon source rocks in the piedmont of southwestern Tarim Basin have already reached a mature stage, with the organic matter exhibiting a high degree of evolution.
# Migrating from Developing Asynchronous Multi-Threading Programs to Reactive Programs in Java
## 6 Implementation Details
### Task Scheduling Mechanisms  
Scheduling mechanisms enable applications to automatically perform periodic tasks, such as cleaning up redundant resources or updating cached data, which are common scenarios in distributed microservice-based systems. Effective scheduling of periodic tasks has an important role to play in maintaining functional integrity, quality, and system performance over time. Although framework solutions are available, the required mechanisms are already embedded within both paradigms. One scenario arising in the resulting project was cleaning up interactions after deleting a message since the entries are stored in different databases, which can lead to potential inconsistencies. However, the temporary presence of such inconsistencies does not have any visible impact on the user. By scheduling periodic tasks to be performed automatically, one can avoid programmatic cleanup for each deletion action, therefore reducing the additional load on the system.  
The asynchronous model employs the dedicated _ScheduledExecutorService_ implementation to regularly plan and execute such tasks, granting detailed control over job scheduling but also providing the ability to define the initial execution time and the intervals between recurrent executions.  
Project Reactor provides an elegant and efficient mechanism for planning tasks that naturally integrates within the reactive context using _Schedulers_, with combinations of operators such as interval and _flatMap_, allowing in turn a fine-grained specification of execution conditions and frequency.  
Although the migration process reveals some differences at the code level, certain similarities, and a common structure are preserved: the usage of an _Executor_ or _Scheduler_ instance to configure the execution, the definition of jobs using the available interfaces and proper lifecycle management, correctly shutting down jobs and deallocating resources by leveraging methods such as _shutdown_ or _dispose_.
## 4 Discussion
### Limitations  
The findings of this study must be considered within the context of some limitations. Firstly, it is important to note that all golf testing was conducted in an indoor setting. Although every measure was taken to ensure that the data collection was as accurate as possible (e.g., only using already validated metrics for the Mevo+ launch monitor, use of Titleist radar capture technology golf balls), we were using radar technology to measure golf shot data, and this is best performed outdoors. Second, our study collected data over a single time point, which represents a snapshot of each player's golf and physical characteristics, overlooking fluctuations or trends over time, which are likely to be more useful for practitioners. Finally, we were unable to control each player's schedule; therefore, standardisation of potentially important factors such as the timing of testing and participants' training schedule was not feasible. Consequently, this limitation may have introduced some additional variability in the data and future research should aim to control for this, where possible.
# Methods and Applications of Space Understanding in Indoor Environment--A Decade Survey
## 2 Review Methodology and Conduction
### Review Protocol
Only two additional review papers were found on room segmentation and classification. A deeper analysis of the taxonomy created based on the input data type is presented in Section 3. **STEP 9: Bucketing by solution category. ** In this step, we answered the second research question (RQ2). We split the initial buckets of articles into subgroups based on the presented high-level abstraction category (performed process) of the analyzed solutions. We were able to specify four such categories and describe them in Section 4. **STEP 10: Bucketing by accomplished task. ** The last step of the main protocol flow was focused on the low-level task of the analyzed methodology and its actual application in real life. It answered the third research question (RQ3). We found several different applications and organized them into the third proposed taxonomy. It is described in detail in Section 5. **STEP 11: Full text analysis. ** The first step of the survey extension was to read the entire article and validate that its full content presented a detailed solution (EC6) and was not a discussion, idea description, or interview (EC7). It had to process entire rooms (IC4) and describe the achieved performance (IC5). This step was based on a deep, precise understanding of the article and methodology analysis. From the initially selected 72 articles processing 2D images, 51 papers were determined as passing all stated filtering criteria and were to be checked with further referenced articles analysis. **STEP 12: Survey extension. ** The goal of the last step of the review protocol was to extend the set of publications with articles that were important and related to the analyzed topic. They could be the basis for found solutions or be referenced in them and described as highly important. This step was executed only once--not to include too many papers recursively. The extension suggested the following (in decreasing order): 36 new articles for the 2D Images bucket, 9 for the Feature Set, 3 for 3D Spatial Data, and two for Graph Structure and Review Papers. Figure 1: Review protocol diagram with details representing the number of papers after each step’s execution. Red numbers provide information about the main execution flow and blue ones about the survey extension. Introduced color-coding for input data types as follows: 2D Images in green, 3D Spatial Data in blue, Graph Structures in red, Review Papers in gray, and a Feature Set in yellow.
## 4 Results and Discussions  
Contact load distribution is an important factor reflecting the performance of rolling bearings. In order to verify the presented model of DACBB for calculating the contact load distribution, a comparison of contact load distribution between the current work and literature of [PERSON] [1] is conducted under the same condition. In the comparison, DACBB is loaded by the combined external loads and moment load. The radial and axial loads are both 1000 N, the moment load is 10,000 Nmm. Meanwhile, DACBB is loaded by the axial preload of 580 N. The calculation results are shown in Table 1. From the results shown in Table 1, it can be observed that the contact load of current work shows the good agreement with the literature of [PERSON] [1]. The agreement verifies the proposed model for calculating the contact load distribution of DACBB.  
In general, studying the operating performance of rolling bearings is often based on two boundary conditions: (1) external load vector is known and the corresponding displacement vector should be solved according to the equilibrium equations, and (2) bearing displacement vector is known and the corresponding load vector should be determined [27]. However, the situation that arises frequently is that the rolling bearing is subjected to combined external loads and angular misalignment [33]. Misalignment effect is inevitable in the application of rolling bearings due to various reasons. Therefore, in this paper, the effect of angular misalignment is considered to extend the mechanical model of DACBB. Furthermore, the characteristics of DACBB such as radial/axial displacement, contact load,  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Ball Position**} & \multicolumn{3}{c}{**Contact Load of the Left Row (N)**} & \multicolumn{3}{c}{**Contact Load of the Right Row (N)**} \\ \cline{2-5}  & **Literature [1]** & **Proposed Method** & **Literature [1]** & **Proposed Method** \\ \hline
0\({}^{\circ}\) & 241 & 240.699 & 72 & 71.763 \\ \(\pm\)20\({}^{\circ}\) & 235 & 234.479 & 68 & 68.133 \\ \(\pm\)40\({}^{\circ}\) & 217 & 216.875 & 58 & 58.041 \\ \(\pm\)60\({}^{\circ}\) & 191 & 190.815 & 44 & 43.673 \\ \(\pm\)80\({}^{\circ}\) & 161 & 160.414 & 29 & 28.029 \\ \(\pm\)100\({}^{\circ}\) & 130 & 130.064 & 15 & 14.155 \\ \(\pm\)120\({}^{\circ}\) & 104 & 103.555 & 5 & 4.392 \\ \(\pm\)140\({}^{\circ}\) & 84 & 83.493 & 0 & 0.031 \\ \(\pm\)160\({}^{\circ}\) & 71 & 71.199 & 0 & 0 \\ \(\pm\)180\({}^{\circ}\) & 67 & 67.085 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Results of current work and literature of [PERSON] [1].  
actual contact angle, and fatigue life under different conditions are evaluated. The type of angular contact ball bearing used for simulation is 7010 AC/DB. The basic structural parameters are shown in Table 2. Meanwhile, it should be noted that the study object of the whole article is the DACBB with back-to-back arrangement.
## 2 Materials and Methods
### Course of the Experiment  
Phytoremediation studies using _Echinacea purpurea_ as a phytoremediator and bioaugmentation-assisted phytoremediation were conducted under laboratory conditions using the vase method. Experiments were conducted on two types of soil with known contaminant concentrations. Prior to soil treatment, the soil was fertilized with the mineral fertilizer \"Azofoska\" (Inco, Warszawa, Poland) composed of 13.6% N-total nitrogen; 5.5% N-nitrogen; 8.1% N-ammonium nitrogen; 6.4% P\({}_{2}\)O\({}_{5}\) soluble in neutral ammonium citrate solution and water, 4.2% P\({}_{2}\)O\({}_{5}\) soluble in water; 19.1%K\({}_{2}\)O soluble in water; 4.5% MgO; 23.0% SO\({}_{3}\); 0.045% B; 0.18% Cu; 0.17% Fe; 0.27% Mn; 0.04% Mo; 0.045% Zn. This was to ensure that the C:N:P ratio in the tested soils was 100:10:1 [1; 17; 35], which is optimal for the proper development and activity of micro-organisms responsible for hydrocarbon degradation. The soil reaction was brought to a value of 7.5-7.6 through supplementation with fertilizer lime of natural origin (Biovita, Tenczynek, Poland) [65; 66; 67]. Soils prepared in this way were placed in 10 L pots, and _Echinacea purpurea_ was sown in them. The process of treating contaminated soils was carried out in 12 systems. Depending on the system studied, the soil was bioaugmented with the appropriate inoculant. Systems 1 and 7--soils not inoculated, systems 2 and 8--soils inoculated with microbial consortium B1, systems 3 and 9--soils inoculated with microbial consortium B2, systems 4 and 10--soils inoculated with microbial consortium B1 with the addition of \(\gamma\)-PGA, systems 5 and 11--soils inoculated with microbial consortium B2 with the addition of \(\gamma\)-PGA, systems 6 and 12--soils inoculated with \(\gamma\)-PGA. The study was carried out in two series of repetitions in a greenhouse, ensuring constant conditions for the experiment, i.e., temperature of 22-25 \({}^{\circ}\)C, aeration, humidity (soil sprinkling) and sunlight (system of LED lighting lamps with a light intensity of 3000-5000 lumens ensuring the maintenance of the day and night cycle). The first series of studies was completed after 3 months, while the second series was completed after 6 months. This allowed us to control changes in the amount of TPHs and PAHs in soil and plant material during the treatment process carried out in the systems studied. A schematic of the test bed for bioaugmentation-assisted phytoremediation is shown in Figure 1.  
After the experiment, the test plants were removed from the pots in which phytoremediation tests were carried out and then washed with distilled water to remove any soil residues. Plants were separated into shoots and roots. The plant material was dried and homogenized, and its biomass was determined. After testing, the soil was dried to an air-dry state, ground and sieved through a 1 mm sieve. Soil samples and plant material prepared in this way were analyzed for TPH and PAH content. In addition, the soil was tested for changes in toxicity using commercially available toxicological tests.