Miracle-dz/UniFAR-FTUs huggingface dataset:
Joint Optimization of UAV Deployment and Power Allocation in Vertical mmWave Backhaul/NOMA Networks

UAVs and millimeter communications are considered as key technologies in the future wireless network that requires ultra-high data rates and seamless communication coverage expansion. In particular, since the terrestrial network is expected to be densified due to a myriad of small cells in B5G/6G, vertical mmWave backhauls using aerial platforms are attracting huge attention. Meanwhile, non-orthogonal multiple access (NOMA) is also being investigated as a next-generation multiple access technique due to its high spectral efficiency. In this paper, we present modeling and analysis of the UAV-aided mmWave backhaul/NOMA network. Taking the elaborate backhauls and access channels into consideration, we formulate an optimization problem in which UAV's position, transmit power and decoding orders are optimized for the maximum end-to-end network throughput. To solve the mixed-integer non-convex problem, we propose an iterative algorithm that can obtain a sub-optimal solution efficiently. Our numerical results show that the optimal deployment of UAV depends on the backhaul link state. In addition, it is shown that the proposed algorithm achieves up to 40% higher end-to-end network throughputs than other benchmark schemes.
Comparison of future intensity duration frequency curve by considering the impact of climate change: case study for Kuching city

ABSTRACT Floods are occurring more frequently nowadays. The most common parameter used to analyse the flood severity is average recurrence interval (ARI). Very often, hydrologist found that the severity of flood is 100-year ARI. However, there is a possibility that the 100-year ARI flood severity will hit the same place again after a few months later. The two main possible reasons are (1) future warmer temperatures will increase future extreme precipitation extremes and (2) limited length recorded rainfall data had derived inaccurate Intensity duration frequency (IDF) curves. Therefore, there is an initiative in this study to derive future IDF curve by considering the future rainfall using ‘delta’ approach. The annual maximum precipitations for 2020s, 2050s and 2080s are generated using Statistical Downscaling Model (SDSM), neural network (NN) with scale conjugate gradient and Cuckoo search optimization algorithms. The selected study rainfall station is Kuching Airport. Results revealed that the newly projected IDF curves at various durations and ARIs are slightly higher than historical IDF curve. However, this research is still in the nascent stage and the results obtained are not finalized yet. More investigation works are carried out currently to establish reliable relationships between daily and sub-daily extreme precipitations based on the scaling general extreme value distribution.
Safety Behavior and Transition Shock among Newly Graduated Nurses: The Mediating Role of Feedback-Seeking Behavior

Aim. To determine the relationship between transition shock and safety behavior among newly graduated nurses (NGNs) and explore the mediating role of feedback-seeking behavior. Background. The safety behavior of NGNs plays a vital role in improving patient safety in clinical situations. The direct effect of the transition shock experienced by these nurses on safety behavior remains limited, and little is known about the mediating effect of feedback-seeking behavior. Methods. A descriptive correlational research design was conducted with a cross-sectional sample of nurses in China using an online survey. A convenience sample of 575 nurses from 17 hospitals completed the questionnaires. Correlation analysis and structural equation modeling were used to examine the hypotheses. Results. The sampled NGNs’ safety behavior score was 55.35 ± 5.46. Their transition shock was negatively associated with safety behavior (β = −0.225, p < 0.001). In contrast, feedback-seeking behavior was positively related to safety behavior (β = 0.502, p < 0.001). The feedback-seeking behavior partially mediated the relationship between transition shock and safety behavior, and the mediating effect was 58.29%. Conclusions. The results emphasized that the relationship between NGNs’ transition shock and safety behavior is mediated by feedback-seeking behavior. Implications for Nursing Management. Interventions focusing on transition shock relief could help improve NGNs’ safety behavior. This study highlights the importance of encouraging feedback-seeking behavior to improve patient safety outcomes, especially for junior nurses. It can therefore be assumed that the nursing managers’ training of NGNs in special skills, such as feedback-seeking, may be conducive to their positive coping and contribute to forming safety behaviors.
INTView: Adaptive Planner for In-Band Network Telemetry without Detours

Network visualization is essential for network operators to diagnose ongoing network failures and understand the quality of the network. In-Band Network Telemetry (INT) supports network visualization by inserting P4 switch state information (e.g., queue length, hop latency, and link utilization) into the specific INT packets. In order to achieve network-wide coverage, paths of INT packets need to be delicately designed to ensure non-overlapping, high performance, and low overhead. However, existing INT path planning solutions ignore capturing the dynamic network status and fail to obtain the optimum. In this paper, we model the INT path planning based on the directed Edge Cover problem upon the dynamic network status, with the objective of minimizing the INT path latency. Although it is actually a non-linear integer program problem, by adopting delicate transformations, we design approximation algorithms with performance guarantees. We implement our system prototype INTView based on INTCollector upon real devices, i.e., Barefoot Wedge100BF and Inspur Rack. Extensive evaluation upon realistic settings shows that our proposed algorithm achieves 2x performance improvement regarding the completion time, compared with state-of-the-art schemas.
Science Arts & Métiers (SAM)

Purpose: During manual wheelchair (MWC) skill acquisition, users adapt their propulsion technique through changes in biomechanical parameters. This evolution is assumed to be driven towards a more efficient behavior. However, when no specific training protocol is provided to users, little is known about how they spontaneously adapt during overground MWC locomotion. For that purpose, we investigated this biomechanical spontaneous adaptation within the initial phase of low-intensity uninstructed training. Materials and methods: Eighteen novice able-bodied subjects were enrolled to perform 120min of unin-structed practice with a field MWC, distributed over 4weeks. Subjects were tested during the very first minutes of the program, and after completion of the entire training protocol. Spatiotemporal parameters, handrim forces, motor force, rolling resistance and fore-aft stability were investigated using an instrumented field wheelchair. Results: Participants rapidly increased linear velocity of the MWC, thanks to a higher propulsive force. This was achieved thanks to higher handrim forces, combined with an improved fraction of effective force for startup but not for propulsion. Despite changes in mechanical actions exerted by the user on the MWC, rolling resistance remained constant but the stability index was noticeably altered. Conclusion: Even if no indication is given, novice MWC users rapidly change their propulsion technique and increase their linear speed. Such improvements in MWC mobility are allowed by a mastering of the whole range of stability offered by the MWC, which raises the issue of safety on the MWC. (cid:1) IMPLICATIONS FOR REHABILITATION (cid:1) The learning process of manual wheelchair locomotion induces adaptations for novice users, who change their propulsion technique to improve their mobility. (cid:1) Several wheelchair biomechanical parameters change during the learning process, especially wheel-chair speed, handrim forces, motor force, rolling resistance and fore-aft stability. (cid:1) Fore-aft stability on the wheelchair rapidly reached the tipping limits for users. Technical solutions that preserve stability but do not hinder mobility have to beimplemented, for instance by adding anti-tipping wheels rather than moving the seat forwards with respect to the rear wheels axle.
Hybrid Encoding Method for Radio Frequency Identification in the Internet of Things Systems

As one of the important components of internet of things (IOT) systems, radio frequency identification (RFID) tags need to be improved in terms of power consumption, size reduction and coding capacity. In conventional methods, designers focus on optimizing resonators, but by focusing on the use of phase coding, a new method can be presented that results in a tag with smaller dimensions and more coding capacity. Hybrid encoding for RFID is based on the phase coding by changing the position of the resonator in the chipless RFID tag. In this paper a C-shaped resonator is proposed to design a chipless tag on the Rogers RT/duroid 5880 laminates. This method proposes different phase values in the resonance frequency as separate codes. The difference between the phases (<inline-formula> <tex-math notation="LaTeX">$\Phi$ </tex-math></inline-formula>) of the scattering parameters S11 and S22 is measured to show the effect of position varying of the proposed C-shaped resonator. With the three different values of <inline-formula> <tex-math notation="LaTeX">$\Phi $ </tex-math></inline-formula> at the resonance frequency, the proposed RFID tag creates codes 0, 1 and 2, in comparison with the conventional structures that create codes 0 and 1 only, based on the presence or absence of a transition zero at the resonance frequency. The proposed structure was designed, fabricated and measured and measurement results validate this method. Accordingly, an RFID tag with five C-shaped resonators is proposed, where the simulation results of its <inline-formula> <tex-math notation="LaTeX">$3^{5}=243$ </tex-math></inline-formula> different states are presented in this paper.
RNN BCJR: a fully trainable version of the additive BCJR algorithm

We present a new version of the additive BCJR algorithm based on a recurrent neural network whose structure reflects an underlying trellis diagram. Starting from a matrix version of the equations of the additive BCJR algorithm, we derive the equivalent trainable recurrent neural network model, named Recurrent Neural Network (RNN) BCJR. The RNN BCJR consists of a linear layer to form the edge metrics from the state and input metrics, followed by a SOFTMAX/max* layer to marginalize the edge metrics back to the state and output spaces. We derive the recursions for delta propagation to train the two-layer mixing matrices from the output cost function. Unlike the previous approaches, the proposed RNN BCJR can completely replace the BCJR and is trainable from the cost functions of the outputs. The trained RNN BCJR achieves the same optimal performance as the BCJR when the model is known but at the same time can adapt itself to model mismatch, thus outperforming BCJR.
Digital Scholarship @ Texas Southern University Digital Scholarship @ Texas Southern University

: Purpose: Nitric oxide (NO), carbon monoxide (CO) and hydrogen sulfide (H 2 S) are physiologically relevant gaseous neurotransmitters that are endogenously produced in mammalian tissues. In the present study, we investigated the possibility that NO and CO can regulate the endogenous levels of H 2 S in bovine isolated neural retina. Methods: Isolated bovine neural retina were homogenized and tissue homogenates were treated with a NO synthase inhibitor, NO donor, heme oxygenase-1 inhibitor, and/donor. H 2 S concentrations in bovine retinal homogenates were measured using a well-established colorimetric assay. Results: L-NAME (300 nM–500 μM) caused a concentration-dependent decrease in basal endogenous levels of H 2 S by 86.2%. On the other hand, SNP (10–300 μM) elicited a concentration-related increase in H 2 S levels from 18.3 nM/mg of protein to 65.7 nM/mg of protein. ZnPP-IX (300 nM–10 μM) caused a concentration-dependent increase in the endogenous production of H 2 S whereas hemin (300 nM–20 μM) attenuated the basal levels of H 2 S. Conclusion: We conclude that changes in the biosynthesis and availability of both NO and CO can interfere with the pathway/s involved in the production of H 2 S in the retina. The demonstrated ability of NO, CO and H 2 S to interact in the mammalian retina affirms a physiological/pharmacological role for these gaseous mediators in the eye.
CAIPEEX - Indian cloud seeding scientific experiment

The demand for effective methods to augment precipitation over arid regions of India has been increasing over the past several decades as the changing climate brings warmer average temperatures. In the fourth phase of the Cloud Aerosol Interaction and Precipitation Enhancement Experiment (CAIPEEX-IV), a scientific investigation was conducted over a rain shadow region of the Western Ghats mountains in India. The primary objective was to investigate the efficacy of hygroscopic seeding in convective clouds and to develop a cloud seeding protocol. CAIPEEX IV followed the World Meteorological Organization (WMO) recommendations (WMO, 2018a) in the peer-reviewed report (WMO, 2018b) with physical, statistical, and numerical investigations. The initial results of the campaign in the monsoon period of 2018 and 2019 with two instrumented aircraft, a ground-based dual-polarization C-band radar, a network of rain gauges, radiosondes, and surface aerosol measurements are reported here. The hygroscopic seeding material was detected in cloud droplets and key cloud microphysical processes in the seeding hypothesis were tracked. The formidable challenges of assessing seeding impacts in convective clouds and the results from 150 seed and 122 no-seed samples of randomized experiments are illustrated. Over 5000 cloud passes from the airborne campaign provided details about the convective cloud properties as the key indicators for a seeding strategy and the evaluation protocol. The experimental results suggest that cloud seeding can be approached scientifically to reduce uncertainty. The results from this study should interest the scientific community and policymakers concerned with climate change’s impact on precipitation and how to mitigate rainfall deficiencies.
Inquiry and Debate in Science Learning: Potential Strategy for Improving Students’ Scientific Argumentation Skills

Scientific argumentation skills are a key component of science learning practices needed by students in the 21st century. Where the essence of scientific argumentation is to support the argument with evidence and reasoning and then refute the claims and evidence of the opponent's argument. Supporting arguments with evidence and reasoning can be facilitated through inquiry activities. Meanwhile, refuting claims and evidence from opposing arguments can be facilitated through debate activities. Inquiry and debate can be a solution to improving students' scientific argumentation skills. This study aims to prove the truth of this statement through a systematic literature review by applying the PRISMA 2020 criteria which are expanded by bibliometric analysis with the help of the VOSviewer software. The results of the study show that research related to inquiry, debate, and their influence on students' scientific argumentation skills has a pretty good trend. In Indonesia the research climate is still quite good, research topics are still in great demand, and it is very possible to carry out research innovations on related topics. Another finding is that the integration of inquiry and debate in science learning can be a potential strategy to improve students' scientific argumentation skills.
Morphological characterization of elite cacao trees ( Theobroma cacao L.) in Tumaco, Nariño, Colombia

The cacao has become an essential part of the fight against the effects of illegal crops and rural poverty in Colombia. Because of their bromatological characteristics, cocoa beans are preferred in markets. However, there are few studies on the variability of the regional genotypes. The goal of this study was to characterize the cacao trees in Tumaco, Narino (Colombia) and establish their morpho-agronomic variability. Plant collections were conducted in five production zones of the municipality between 0 to 270 m. On each farm, the productivity and plant health variables were recorded for the outstanding plants. The characterization was carried out using a Principal Component Analysis (PCA), Multiple Correspondence Analysis (MCA) and Cluster analysis. In the PCA, the first five components explained 70.2% of the variation. The first three components were characterized by productivity, while the last two components showed a low pod and grain index. In the MCA, the first three factors expressed 39.5% of the variation. The first three corresponded to the cundeamor cacao, acute pod apex, absence of anthocyanin in ripe fruits, without notable pulvinus, staminodes without anthocyanins, and moderately susceptible to Moniliophthora perniciosa . The last two components reported tolerance to M. roreri and Crinnipellis perniciosa, intense anthocyanin pigmentation on the floral buttons and Angoleta-shaped fruit. The selected genotypes showed important characteristics that must be analyzed with molecular and sensorial analyses.
Deployment Model for Parallelized Service Function Chains with Considering Traffic-Delay Dependency

In network function virtualization, virtual network functions (VNFs) are usually chained in specific orders to generate service function chains (SFCs). Recently, SFC parallelism has been presented to enable VNFs to run in parallel to reduce the end-to-end service delay. Existing works handle the issue of unbalanced parallel branches by assuming predefined linear delay models, which have limitations in efficient resource allocation and deployment cost savings. This paper proposes a deployment model for parallelized SFC that handles the imbalance issue with considering that the delay of each VNF depends on both the arriving traffic and the allocated computing resources, to improve the flexibility of computing resource allocation. We consider a non-linear relationship between delay, allocated computing resources, and arriving traffic. We apply VNF sharing to improve the efficiency of resource allocation. We formulate the proposed model as a mixed integer second-order cone problem to minimize the total deployment cost, with satisfying the end-to-end delay requirement. Numerical results show that the proposed model achieves lower deployment cost than the baseline models.
The Mental Health Implications of Corporate Social Responsibility: The Significance of the Sense-Making Process and Prosocial Motivation

As corporate social responsibility (CSR) has progressively ascended to prominence among academics and industry professionals, numerous studies have embarked on examining its impact on employees’ perceptions, attitudes, and behaviors. Notwithstanding, the current body of research has predominantly overlooked the influence of CSR on employees’ mental health, encompassing depression, anxiety, and burnout. In order to acknowledge the critical role of employee mental health within an organization, our exploration is focused on discerning the effect of CSR on depressive states. Furthermore, our paper undertakes a thorough analysis of the link between CSR and depression, probing its underlying processes and potential contingent factors. We posit that CSR can alleviate the incidence of employee depression by amplifying the sense of meaningfulness that work provides. Moreover, the element of prosocial motivation among employees may act as a positive moderating variable that intensifies the beneficial effect of CSR on the sense of meaningfulness derived from work. By relying on data obtained through a tripartite online survey involving 214 South Korean workers, this paper scrutinized the proposed hypotheses via the application of moderated mediation analysis with structural equation modeling. We contend that the insights yielded by this study bear significant theoretical and practical implications.
Crop Planting Layout Generative Adversarial Network Model

The task of crop planting layout generation aims to synthesize realistic crop planting layout images by combining elements with different attributes, including crop category, planting area, position, and crop interrelationships. This task can assist farmers in the design of crop planting layout, and generate a reasonable crop planting layout that satisfies the description based on the description of relevant attribute information such as the type and area of the planted crops, so as to reduce the burden of crop planting design. However, for different application scenarios, including conditional generation and unconditional generation, crop planting layout generation faces the problems of lack of datasets and low quality of generated images. To address these issues, we construct a new dataset CPL-dataset and propose a model CPLGAN (Crop Planting Layout Generative Adversarial Network). CPLGAN model adopts the structure of generative adversarial network, which can realize the parallel synthesis of images with different attributes. CPLGAN model treats missing or rough module layouts as intermediate states of completed layouts, which can be generated from scratch or conditioned on arbitrary available attributes. Due to the different semantics and features of each attribute, we incorporate the global context and employ a dynamic memory gate to facilitate image generation, enhancing the quality and diversity of generated images. We evaluate the CPLGAN model on our self-built CPL-dataset, and the experimental results showed its superior performance in generating crop planting layouts.
LA TRIANGULACIÓN ANALÍTICA COMO RECURSO PARA LA VALIDACIÓN DE ESTUDIOS DE ENCUESTA RECURRENTES E INVESTIGACIONES DE RÉPLICA EN EDUCACIÓN SUPERIOR (Analytical triangulation, a resource for the validity of recurrent survey studies and reply researches in Higher Education)

The triangulation understood as technical of confrontation and tool of comparison of different types from analysis of data (analytical triangulation) with a same objective can contribute to validate a survey study and to harness the conclusions that are derived of it. In this article we develop a model of validation of findings by means of analytical triangulation to misalignments observed by two different generations of university students involved in the implantation of a new university curriculum. Resumen
The protolytic properties of the sialorphin derivative Pal-Lys-Lys-Gln-His-Asn-Pro-Arg in an aqueous solution

The present work describes the protolytic properties of the sialorphin derivative (Pal-Lys- Lys-Gln-His-Asn-Pro-Arg) in an aqueous solution, at constant temperature 25.0 ± 0.1 °C and ionic strength 0.1 M (NaClO4), over the entire pH range. The overall protonation constants of the studied ligand were calculated by the potentiometric method. The logarithm values of the stepwise dissociation constants of the sialorphin derivative were found to be: [LH] = 11.88 ± 0.09, [LH2]+ = 9.96 ± 0.03, [LH3]2+ = 8.71 ± 0.03, [LH4]3+ = 5.49 ± 0.03, [LH5]4+ = 2.82 ± 0.03. The percentage of each species formed in an aqueous solution was estimated from the species distribution curves as a function of pH (82% [LH] at pH 11.0, 68% [LH2]+ at pH 9.3, 95% [LH3]2+ at pH 7.1, 90% [LH4]3+ at pH 4.2, 85% [LH5]4+ at pH  2.0). The five protonation constants indicate that the studied ligand can be very active in forming complexes with different metal ions. In addition, the sialorphin derivative can also be tested as a bioactive material, which warrants its further in vitro and in vivo studies.