esa-sceva/satcom-chunk-collection huggingface dataset:
# Quantifying the Training and Match-Play External and Internal Load of Elite Gaelic Football Players
## 2 Materials and Methods  
### Approach to Problem  
External and internal training load data were collected across a two-season observational period within an elite Gaelic football team. External training load was quantified through the utilization of global positioning system technology (GPS; 4-Hz, VX Sport, Lower Hutt, New Zealand), with internal training load quantified through the application of the session rating of perceived exertion (Borg Scale: 1-10) methodology. All data were prospectively recorded over a two-season period in elite Gaelic football players (National League Division 1 and All Ireland Championship). Data were collected across the competitive season and was divided by (1) position, (2) match and non-match weeks and (3) distinct phases for descriptive purposes. These phases were Pre-season (December-January), In-season 1 (Feb-March: National League Game 1--National League Game 3), In-Season 2 (March-April: National League Game 3--National League Game 6), Club 1 (April: Club Month), Provincial 1 (May-June: Provincial championship), Championship 1 (July-August: All Ireland Knockout Phase 1), Championship 2 (August-September: All-Ireland Semi-Final and All Ireland Final). The data recorded included all training and match-play external and internal load data resulting in 22,896 individual observations across the duration of the analysis. The external and internal training load analysis presented in each block represents the average weekly total within the given season block to account for differences in the number of weeks within blocks. To analyze the distribution of training load by mode, a similar approach was taken to that of [PERSON] et al. (2018) where training was categorized into \"training\" (team training, field-based conditioning, sports specific training), \"gym\" (upper-body weights, lower-body weights, plumetrics, olympic lifts), \"match-play\" (Competitive games), \"individual skills\" (Gaelic football-specific skills training completed with the coach or by the player alone), and \"other\" (boxing, cycling, swimming, altitude training, heat training, and cross-training). Finally, match and non-match weeks with a similar schedule were analyzed against one another to standardize this comparative analysis.
# Research on O2O Takeout Delivery Route Optimization Problem Based on Improved Genetic Algorithm
###### Abstract  
This paper considers the vehicle routing optimization problem for O2O takeout delivery services. In the problem, takeout orders are divided into priority orders and ordinary orders based on whether customers have purchased the on-time delivery service. By comprehensively considering the three parties of platform, customers, and riders, a multi-objective function is established to minimize platform costs, maximize average customer satisfaction, and maximize average rider earnings. For the problem, the \(\varepsilon\)-constraint method and the weighted sum approach are first employed to transform the multi-objective problem into a single-objective one. Then, an improved genetic algorithm integrated with a local search method is designed. The effectiveness of the proposed algorithm is validated by using instances adapted from the existing literature. By setting the lower bounds for average customer satisfaction, as well as the weights for platform costs and average rider earnings, it can provide flexible and effective decision-making references for decision makers.  
O2O takeout; customer priority; multi-objective; route optimization; genetic algorithm +
Footnote †: journal: Applied sciences  
0000-0001-6500-0000-0000-0000-0000-0000-0000-0000-00000-00000-00000-0000-00000-00000-00000-00000-00000-00000  
directly impacts delivery efficiency and service quality. Properly planning delivery tasks can ensure that riders have reasonable earnings and work intensity while providing high-quality services to customers at a lower delivery cost, enhancing customer satisfaction and cultivating customer loyalty to the platform.  
In summary, comprehensively considering the interests of the three parties involved in platform, riders, and customers, it is of great significance for the healthy development of the O2O takeout delivery enterprises. Therefore, this paper intends to focus on these participants comprehensively, through the reasonable allocation of takeout orders and the optimization of delivery routes for riders, in order to achieve lower platform costs, higher customer satisfaction, and higher rider earnings.
## 5 CIDF-WSN
### CIDF-WSN Operation
#### 5.3.4 CIDF-WSN Cache Tables  
To avoid retransmissions and minimize the packet losses in terms of both Interest and Data packets, CIDF-WSN proposes Interest Cache Table (ICT) and Temp Cache Table (TCT). The former avoids the interest packet failure and retransmissions when the nominated forwarder node fails to further relay the packet while the latter targets to minimize the Data packet failures in vulnerable network conditions. The detailed descriptions of both ICT and TCT are as follows.  
1. **Interest Cache Table (ICT):** The Interest Cache Table (ICT) is maintained by the immediate neighbors of the designated forwarder node in the upper layer to avoid Interest Packet failure. The immediate neighbor(s) temporarily saves the incoming Interest packet in the ICT and forwards it if the designated node fails to further transmit the Interest Packet towards the potential data source.
2. **Temp Cache Table (TCT):** When the Interest packet arrives successfully at the destination of matching content, the provider node, after verifying the authenticity of Interest, sends back the requested content in the breadcrumb path. The breadcrumb path may crash and the requested content may be delayed or fail to reach the destined consumer. The delayed delivery of requested Data may highly degrade the network performance and it may cause havoc, as concerned departments may never take the action on time. To cope with the above-mentioned situation, CIDF-WSN develop a Temp Cache Table (TCT) which is enabled at the immediate neighbors of the designated forwarder node to ensure seamless communication and avoid packet losses in case the nominated node fails to perform the further Data packet transmissions. In this approach, when the node forwards the Data packet towards the designated node, the packet is also received by the immediate neighbors of the designated node due to shared medium. The immediate neighboring nodes keep these packets in their TCT, assign a forwarder timer to the packet, and wait for the transmission of the designated node. If the designated node fails to forward the packet, the neighbor node with the smallest forwarder timer value forwards the packet to streamline the communication process. In contrast, if the designated node successfully forwards the received Data packet, the upstream node(s) purges the TCT to allow future Data packet caching. It is worth mentioning that in both aforementioned Data forwarding modes, the TCT purge operation is always triggered when the downstream node forwards the data towards the consumer in the lower layer(s). The mechanism avoids TCT pollution and enables the node to allocate its TCT for future Data packets.
###### Abstract
The maximum absolute increase in the mean peak runoff was projected in May and October for the 2080s due to high volume of precipitation. Moreover, a decrease in future streamflow was reported during the dry season period [18]. However, an overall increase of streamflows was found in [19]. In a large irrigation scheme, it is quite hard to manually quantify and regulate flow at different sections of a channel, resulting in inadequate delivery between supply and demand. In [20], the drawbacks with the application of conventional methods in irrigation has been highlighted. The Bernam River Basin is the primary source of irrigation supply for the Tanjung Karang Rice Irrigation Scheme Malaysia. The diversion of water for irrigation is from the Basin at the Bernam River Headworks (BRH) and reaches the scheme at Tengi River Headworks (TRH) over 24.5 km through a feeder canal of 14.5 km length. The hydrological and hydraulic processes of this river basin under climate change are paramount to the planning and management of the irrigation scheme's potential water requirements. Water shortage is an annual issue for the scheme. An imbalance between water supply from the upstream and the water demand at the intake of the scheme is often experienced [21]. This consequently results in either water shortage at high demand or water wastage at the period of low demand. Models are very useful tools in assessing water resources in irrigation systems [22]. Various computerize hydraulic models were developed and applied in different irrigation schemes to address related problems. For example, DUFLOW, MODIS, and CARIMA models were respectively evaluated by [23, 24, 25]. MIKE 11 and MIKE SHE models were applied in an irrigation project [26]. The Hydrologic Engineering Centers River Analysis System (HEC-RAS) is a hydraulic modeling software developed by the U.S. Army Corps of Engineer's Hydrologic Engineering Center. It has the advantage of generating river geometry using spatial data with the Geographic information system (GIS) component of the model (HEC-GeoRAS), which is very helpful in canals with data scarcity. However, research on the hydraulic modeling of an irrigation system using the HEC-RAS model is very limited [27] with almost no study on water allocation for an irrigation scheme. The increasing water demand pressure continues to be concerned with the planning of paddy irrigation, based on the predicted multi-models global climate model (GCM) climate data series. Irrigation managers need an interactive tool that helpsquick decisions on water management to reduce water and food safety risk. This study therefore implemented HEC-RAS and Hydrologic Engineering Corps Hydrologic Modeling System (HEC-HMS) to model the fluctuating river discharge in order to allocate adaptive water to a Malaysian irrigation system in the new realities of climate change.
# Fingerprint Classification Based on Multilayer Extreme Learning Machines
## 5 Results and Discussion
### Evaluation and Performance Comparison with the State of the Art
\begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline  & \multicolumn{3}{c}{**Original ELM**} & \multicolumn{3}{c}{**ELM-M2**} & \multicolumn{3}{c}{**ELM-M3**} \\ \hline  & **Capelli02** & **Hong08** & **Liu10** & **Capelli02** & **Hong08** & **Liu10** & **Capelli02** & **Hong08** & **Liu10** \\ \hline Default & 0.1430 & 0.0523 & 0.0976 & 0.1407 & 0.0466 & 0.0837 & 0.1322 & 0.0426 & 0.0789 \\ \hline HQNoPert & 0.1228 & 0.0381 & 0.0917 & 0.1183 & 0.0378 & 0.0749 & 0.1169 & 0.0335 & 0.0739 \\ \hline VQAndPert & 0.1865 & 0.0736 & 0.1138 & 0.1839 & 0.0591 & 0.1335 & 0.1777 & 0.0575 & 0.1154 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Absolute values of the penetration rate obtained by the different ELMs according to the studied databases and descriptors. fingerprints outperform those of the lowest quality (VQAndPert) by 0.04 in accuracy and 0.03 in PR, highlighting the influence of image quality on classification performance.
# A Methodical Approach to 3D Scanning of Heritage Objects Being under Continuous Display
## 3 Research Question  
Persons working in the real environment on 3D digitization of heritage artifacts being under continuous display encounter a common set of problems. According to the authors' experience these might be:  
* work in the conditions of ongoing tourist traffic,
* logistical and legal problems related to the removal of exhibits from the exhibition hall,
* the need to organize temporal scan locations,
* inability to move some exhibits,
* inability to remove some exhibits from the showcase.  
Some of the abovementioned problems were addressed in the case of large architectural objects by the \"3 DScaMITE\" methodology [16]. However, there is a still need to address these problems in the case of small- and medium-sized objects. In order to fill the identified gap, the authors in this work propose a new methodical approach (called \"3 DScaMOTO\") and pose the following research question:  
* _Is it possible to acquire, in an effective way, 3D scans using 3D scanners, specifically based on structured light, of historical objects while not removing these objects from their original area of exhibition?_  
In order to answer the research question and verify the proposed method, the authors conducted a number of 3D scanning sessions of the Central Asia and Maramures regions heritage. From the huge variety of artifacts, the following were chosen as the case studies: the figure of two snakes from the State Museum of the History of Uzbekistan in Tashkent, the statue of [PERSON] from the Fayaztepa complex (Uzbekistan) and the icon of [PERSON] in Pausa (Romania).
## 2 Methodology  
### Experimental--Electromagnetics  
#### 2.1.1 General Description  
The transmission measurement configuration, where the transmitting and receiving antennae are placed one in front of the other at a fixed distance and the material under test (MUT) is placed between the antennas, is considered (see Figure 1). It is worth underlining that the transmission-only configuration is dictated by the unidirectional nature of the radios in use, which exploits the so-called simplex configuration, where one radio only transmits and the other only receives.  
Measurements of the transmission coefficient \(S_{21}\) provide information about MUT dielectric parameters. In order to correctly measure \(S_{21}\), a calibration stage is required. A typical free-space calibration involves the use of measurements made in a reference setup. In the following, we consider the empty setup (denoted as AIR) and the metal plate (MET) [23]. The former mimics the maximum transmission condition (ideally one); the latter represents the minimum transmission condition (ideally zero). The calibration permits the MUT response to be isolated from systematic effects [2; 10].  
A \(305\times 305\times 10.18\) mm flat polymethylmethacrylate (PMMA) sample was used as the MUT, with a relative real permittivity of \(\varepsilon_{r}=2.61\)[8; 23; 24] and low imaginary part reported to be about 0.01 [8; 23] to 0.05 [24]. The sample was obtained from a cut of the same material used in [23], but in that study, its dimensions were \(500\times 500\times 10.18\) mm. Note that in a free-space setup, the transverse dimensions of the sample play an important role and cannot be significantly reduced [1].  
The frequency interval, ranging from 850 MHz to 1.55 GHz, is limited by the antennae (lower bound) and the receiver hardware (upper bound). For simplicity and lowered costs, printed circuit board commercial log-periodic antennae were used, instead of the more common horns similar to the ones used in [23]. A picture of the experimental setup is shown in Figure 2.  
Wide samples would greatly simplify the free-space method because the propagation could be modeled by plane waves [1]. However, it is difficult to have a compact setup with these characteristics in the frequency range under study. There, such a premise was dismissed in this work. The distance of each antenna from the surface of the MUT, which was centered between the antennas, was \(L_{\mathrm{air}}=48\) cm, kept consistent as what was used in [23]. The two antennae and the center of the MUT were \(h=45\) cm above the floor (Figure 1).  
Figure 1: Sketch of the measurement configuration. The MUT is centered between the Tx and Rx antennae, at some distance from the floor.
# Addressing Sustainability within Public Procurement of Food: A Systematic Literature Review
## 4 Discussion
### Highlighting Certain Food Types and Labels  
The literature review highlights aspects and types of foods that were used to address sustainability. A large number of focus words were found to be linked to sustainable procurement. However, as previously mentioned, procuring organic and local foods, in addition to reducing wastes, were promoted in most studies as an approach to ensure sustainable consumption and production of foods. Similar findings are also emphasized in a number of articles analyzing different national programs for sustainable food procurement [82; 109; 110; 111; 112].  
In many of the reviewed studies, procuring local food is assumed to be environmentally beneficial due to reduced transportation or reduced food miles. Notwithstanding, as stipulated by previous studies, the use of food miles to account for environmental sustainability may not be a good proxy for sustainability, although it continues to be represented in the discourse on food sustainability [113; 114; 115] and is often used in public procurement of food as important aspect [38; 116]. However, the procurement from local producers was also perceived as a risk in the supply chain for some procuring authorities and partners, where a preference toward more established companies was preferred to ensure the economic viability of the procurement, see, e.g., [28].  
Organic foods were also promoted to address all three pillars of sustainability, although the motivations primarily focused on the environmental sustainability related to reduced environmental impacts. Several studies also suggest organic foods to reduce GHG emissions, although there are conflicting views of this in the literature [106; 117]. Organic foods were often promoted as healthier choices, which also concurs with the narrative used to promote these foods in the consumer sphere [109; 110]. Nonetheless, as [PERSON] et al. [118] suggest, sustainability in the food system is more about transitioning towards more sustainable practices, and organic foods can help to address this change but are not sustainable by default.  
Finally, despite an abundance of literature on transforming the food system through more sustainable food choices [24; 119; 120; 121], few studies addressed certain types of foods to procure. For example, only a few of the reviewed articles suggest a reduction of meat as an approach to improve the sustainability of food produced and consumed through public procurement [18].
# An Effective Multi-Label Feature Selection Model Towards Eliminating Noisy Features
## 2 Related Work
On the other hand, the second family of multi-label feature selection can better fix this issue since it incorporates label correlations into model construction. A common strategy of this family is to evaluate instance-label pairs via specific label ranking metrics and select the features by minimizing loss functions [33; 34; 35; 36]. While real-world label relations could be beyond pairwise situations, some high-order correlation approaches have been proposed to model complicated label structures. A feasible solution is to build a common space shared among various labels [16; 33; 37], which typically suffers from high costs and complex computation. It is noteworthy that in contrast to single-label feature selection approaches, the multi-label ones rarely have the issue of noisy feature elimination. A few approaches specific to ruling out irrelevant features are based on sparse regularization [38]. These approaches neglect the negative effects of redundant features and are not competent in completely removing noisy features. To comprehensively address the above issues, we will introduce a novel multi-label feature selection model in Section 3, which can effectively filter both kinds of noisy features (including irrelevant and redundant ones) and select the remarkable ones. The proposed model adopts a statistical metric to measure target-related feature redundancy and dispense with any probability estimation. Furthermore, this model extracts label correlations and keeps feature-label space consistency to guide feature selection, which facilitates irrelevant feature exclusion and remarkable feature domination.
## 4 Discussion
### Comparison with Existing Product Data  
In this study, although there are discrepancies between the ML-based GPP and RS-based GPP products in certain regions, the consistency in the temporal distribution characteristics remains high (Figure 14). This indicates that the ML model can effectively capture the seasonal variations in GPP in forest ecosystems, and the results were consistent with previous research findings. For instance, [PERSON] et al. found that ML models, such as SVR and RF, can better capture the seasonal variations in GPP as compared to the traditional biogeochemical process models [11]. Similarly, [PERSON] et al. confirmed that the tuned ML model DNN accurately predicted GPP in forest ecosystems under extreme climatic conditions [64]. The value range of ML-based GPP in this study is 1.06-8.45 g Cm\({}^{-2}\) d\({}^{-1}\), which is comparable to RS-based GPP products, such as GLASS (0-9.62 g Cm\({}^{-2}\) d\({}^{-1}\)), GOSIF (0.37-9.50 g Cm\({}^{-2}\) d\({}^{-1}\)), and FLUXCOM (0.03-8.45 g Cm\({}^{-2}\) d\({}^{-1}\)), demonstrating the capability and effectiveness of the proposed approach in simulating forest GPP in this study (Figure 14).  
ML-based GPP in this study showed significant consistency with GLASS-based GPP, particularly in the provinces of Guangdong, Yunnan, and Jiangxi (see Figure 14a,b,d). This phenomenon may mainly be attributed to three factors: First, the LAI data used in this study are sourced from GLASS; second, there is a similarity in the selection of characteristic variables between this study and GLASS GPP (characteristic variables include NDVI, PAR, Temp, and the ratio of ET to NR) [71]. Third, the spatial resolution of the GPP obtained in this study and GLASS GPP are both 1 km, indicating that the consistency in spatial resolution may also be a contributing factor to the similarity in GPP results.