Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Socio-relational Context and Robotization on Human Group*

Nunchi is a high context communication skill which makes an individual understand the counterpart’s indirect social cues and respond appropriately. Robotic things can perceive and recognize situations, and express appropriate responses to situations. Thus, this study was conducted with the expectation that the robotic things equipped with Nunchi, which understand the situation well and behave appropriately instead of the workers, would allow the workers to focus on their work. In order to investigate the effect of robotization of the objects on the degree to which Nunchi is required for the participant, task load, and the impression of objects according to the socio-relational context, a 2 (socio-relational context: stranger group vs. friend group) X 2 (robotization: robotic things vs. baseline things) mixed-participant experiment was designed. As a result, participants evaluated robotic things as more useful and social than baseline things. In addition, Nunchi was required less for the people in the stranger group when robotic things were used in their work than when baseline things were used. Finally, participants felt their task load reduced when the robotic things were used.
Characterization of Fusarium verticillioides Med1 LxxLL Motif Involved in Fumonisin Biosynthesis

The Med1 transcriptional coactivator is a crucial component of the Mediator middle complex, which regulates the expression of specific genes involved in cell development, differentiation, reproduction, and homeostasis. The Med1 LxxLL motif, a five-amino-acid peptide sequence, is essential for Med1-mediated gene expression. Our previous study revealed that the disruption of the Med1 subunit leads to a significant increase in fumonisin B1 (FB1) production in the maize pathogen Fusarium verticillioides. However, our understanding of how Med1 regulates FB1 biosynthesis in F. verticillioides, particularly through the Med1 LxxLL motifs, remains limited. To characterize the role of LxxLL motifs, we generated a series of Med1 LxxLL deletion and amino acid substitution mutants. These mutants exhibited impaired mycelial growth and conidia germination while demonstrating enhanced conidia production and virulence. Similar to the Med1 deletion mutant, Med1 LxxLL motif mutants also exhibited increased FB1 biosynthesis in F. verticillioides. Proteomic profiling revealed that the Med1 LxxLL motif regulated the biosynthesis of several key substances that affected FB1 production, including starch and carotenoid. Subsequent studies demonstrated that the production of amylopectin, which is strongly linked to FB1 biosynthesis, was significantly increased in Med1 LxxLL motif mutants. In addition, the disruption of carotenoid metabolic genes decreased carotenoid content, thus stimulating FB1 biosynthesis in F. verticillioides. Taken together, our results provide valuable insights into how the Med1 LxxLL motif regulates FB1 biosynthesis in the mycotoxigenic fungus F. verticillioides.
The Perception of Agency: Scale Reduction and Construct Validity*

The perception of agency in robots and AI characters has become increasingly important as different agents increase their capabilities. Experiment 1 took an existing measure of perceived agency and created a reduced version by using existing Rasch item reduction measures; Eight and five item scales were created. Experiment 2 showed that all three scales (PA, PA8, PA5) were able to capture differences in perceived agency between a cheating robot (higher PA) and a non-cheating robot (lower PA). Experiment 3 showed that all three scales were able to show the predicted positive relationship between perceived agency and perceived moral agency. All three scales also showed high internal validity. Suggestions for the usage of the scales was also discussed.
Overview of Global Long-Distance Road Transportation of Industrial Roundwood

The aim of the study was to provide a comprehensive overview of global long-distance road transportation of industrial roundwood. The study focused on the maximum gross vehicle weight (GVW) limits allowed with different timber truck configurations, typical payloads in timber trucking, the road transportation share of the total industrial roundwood long-distance transportation volume, and the average long-distance transportation distances and costs of industrial roundwood. The study was carried out as a questionnaire survey. The questionnaire was sent to timber transportation logistics experts and research scientists in the 30 countries with the largest industrial roundwood removals in Europe, as well as selected major forestry countries in the world (Argentina, Australia, Brazil, Canada, Chile, China, Japan, New Zealand, South Africa, Türkiye, the United States of America and Uruguay) in February 2022, and closed in May 2022. A total of 31 countries took part in the survey. The survey illustrated that timber trucking was the main long-distance transportation method of industrial roundwood in almost every country surveyed. Road transportation averaged 89% of the total industrial roundwood long-distance transportation volume. Timber truck configurations of 4 to 9 axles with GVW limits of around 30 tonnes to over 70 tonnes were most commonly used. The results indicated that higher GVW limits allowed significantly higher payloads in timber trucking, with the lowest payloads at less than 25 tonnes, and the highest payloads more than 45 tonnes. The average road transportation distance with industrial roundwood was 128 km, and the average long-distance transportation cost in timber trucking was €11.1 per tonne of timber transported. In the entire survey material, there was a direct relationship between transportation distance and transportation costs and an inverse relationship between maximum GVW limits and transportation costs. Consequently, in order to reduce transportation costs, it is essential to maximise payloads (within legal limits) and minimise haul distances. Several measures to increase cost- and energy-efficiency, and to reduce greenhouse gas emissions in road transportation logistics, are discussed in the paper. On the basis of the survey, it is recommended that up-to-date statistical data and novel research studies on the long-distance transportation of industrial roundwood be conducted in some countries in the future.
A High Linearity SiGe D-Band Diode Ring Mixer

Although the SNR and thus the maximum range of FMCW radar systems benefit from high output powers, they can conventionally be limited by the receiver linearity. As a solution, we propose a fully integrated diode-based down-conversion ring mixer designed in Infineon's B11HFC 130 nm SiGe BiCMOS technology. Excellent port isolation allows this architecture to be used throughout the D-band up to the power range substantially exceeding the state-of-the-art. The mixer exhibits a measured, maximum 1dB compression point of 11.9 dBm and a minimum voltage loss of 1.1dB. Complemented by a matching network and optimized for connection to an operational amplifier, it represents a competitive alternative to conventional, active approaches.
Design optimization of the Petri net-based production process supported by additive manufacturing technologies

In the era of smart manufacturing and Industry 4.0, the rapid development of modelling in production processes results in the implementation of new techniques, such as additive manufacturing (AM) technologies. However, large investments in the devices in the ﬁeld of AM technologies require prior analysis to identify the possibilities of improving the production process ﬂow. This paper proposes a new approach to determine and optimize the production process ﬂow with improvements made by the AM technologies through the application of the Petri net theory. The existing production process is speciﬁed by a Petri net model and optimized by AM technology. The modiﬁed version of the system is veriﬁed and validated by the set of analytic methods safeguarding against the formal errors, deadlocks, or unreachable states. The proposed idea is illustrated by an example of a real-life production process.
Anatomical and functional assessment of patency of the upper respiratory tract in selected respiratory disorders – part 2

This article presents selected physical diagnostic methods used in otorhinolaryngology and results of their application. In addition to the applications of methods using the capabilities of selective sensors, selected methods of hybrid diagnostics were also presented – for assessment of parameters of respiratory processes, with polysomnography as an example of using both typical diagnostic methods dedicated to otolaryngology, as well as standard EEG and ECG methods. It has been shown that in some special cases of respiratory disorders, measurements of the air ﬂow in the respiratory tract can be supplemented with pressure measurementsinselectedpositionswithintheairways.Thepresentedopticalmethodsanddiagnosticsystems areveryoftenusedinthediagnosisofdiseasesnotspeciﬁcforotolaryngologyoccurringintheareaofthe headandneck.Thepresentedmaterialisthesecondpartofthestudydiscussingbothstandardandwidely useddiagnosticmethods.Allpresentedmethodsarededicatedtootolaryngology. Thistextisacontinuation ofthematerialpublishedinNo4of2021[1].
DeSeal: Semantic-Aware Seal2Clear Attention for Document Seal Removal

Seal removal aims to eliminate the seal portion from documents to facilitate better OCR and documentreconstruction. However, existing seal removal methods often lack publicly available code and pre-trained models, and suffer from a lack of publicly available seal datasets. To address these issues, we propose DeSeal for seal removal and introduce a SealBank dataset containing 100K paired seal images. In DeSeal, we introduce the Semantic-Aware Seal2Clear Attention and Color-Adapter Module, where the former identifies seal regions in the entire image and focuses on removing seals from these areas, while the latter significantly improves the model's generalization performance, enabling it to perform well on both real and synthetic data. Experimental results on the SealBank dataset demonstrate the effectiveness of our proposed DeSeal.
Contribution of m5C RNA Modification-Related Genes to Prognosis and Immunotherapy Prediction in Patients with Ovarian Cancer

Background 5-Methylcytosine (m5C) RNA modification is closely implicated in the occurrence of a variety of cancers. Here, we established a novel prognostic signature for ovarian cancer (OC) patients based on m5C RNA modification-related genes and explored the correlation between these genes with the tumor immune microenvironment. Methods Methylated-RNA immunoprecipitation sequencing helped us to identify candidate genes related to m5C RNA modification at first. Based on TCGA database, we screened the differentially expressed candidate genes related to the prognosis and constructed a prognostic model using LASSO Cox regression analyses. Notably, the accuracy of the model was evaluated by Kaplan–Meier analysis and receiver operator characteristic curves. Independent prognostic risk factors were investigated by Cox proportional hazard model. Furthermore, we also analyzed the biological functions and pathways involved in the signature. Finally, the immune response of the model was visualized in great detail. Results Totally, 2,493 candidate genes proved to be involved in m5C modification of RNA for OC. We developed a signature with prognostic value consisting of six m5C RNA modification-related genes. Specially, samples have been split into two cohorts with low- and high-risk scores according to the model, in which the low-risk OC patients exhibited dramatically better overall survival time than those with high-risk scores. Besides, not only was this model a prognostic factor independent of other clinical characteristics but it predicted the intensity of the immune response in OC. Significantly, the accuracy and availability of the signature were verified by ICGC database. Conclusions Our study bridged the gap between m5C RNA modification and the prognosis of OC and was expected to provide an effective breakthrough for immunotherapy in OC patients.
Sectarian, recreational, or anti-social? Interpreting juvenile violence in post-conflict Belfast

ABSTRACT In North Belfast, in 2018 and 2019, street violence involving groups of teenagers from unionist and nationalist communities resurfaced. To explain the persistence of this problem in contemporaneous Northern-Ireland, I focus on the obstacles local actors face when assessing the nature of this public problem. I return to the notion of ‘recreational rioting’, and how its critique led to debates on whether those behaviours were political or not: this unsettled controversy characterises the stalemate in the management of juvenile violence. I argue that this situation reveals a liminal moment in increasing interdependencies between unionist and nationalist communities.
Research on product detection and recognition methods for intelligent vending machines

With the continuous development of China's economy and the improvement of residents' living standards, it also brings increasing costs of labor and rent. In addition, the impact of the pandemic on the entity industry has brought opportunities for the development of new retail models. Based on the booming development of artificial intelligence, big data, and mobile payment in the new era, the new retail industry using artificial intelligence technology has shown outstanding performance in the market. Among them, intelligent vending machines have emerged in the new retail model. In order to provide users with a good shopping experience, the product detection speed and accuracy of intelligent vending machines must be high enough. We adopt Faster R-CNN, a mature object detection algorithm in deep learning, to solve the commodity settlement scenario of intelligent vending machines.
Homography Estimation with L ∞ Norm Minimization Method

Minimizing ∞ L error norm for some geometric vision problems provides global optimization using the well developed algorithm called SOCP (second order cone programming). Because the error norm belongs to quasi-convex functions, bisection method is utilized to attain the global optimum. It tests the feasibility of the intersection of all the second order cones due to measurements, repeatedly adjusting the global error level. The computation time increases according to the size of measurement data since the number of second order cones for the feasibility test inflates correspondingly. We observe in this paper that not all the data need be included for the feasibility test because we minimize the maximum of the errors; we may use only a subset of the measurements to obtain the optimal estimate, and therefore we obtain a decreased computation time. In addition, by using ∞ L image error instead of 2 L Euclidean distance, we show that the problem is still a quasi-convex problem and can be solved by bisection method but with linear programming (LP). Our algorithm and experimental results are provided.
Design of a Circularly Polarized Micro-Strip Antenna for Aircraft Tracking Based on BeiDou III Compatible with Multi-Navigation System

This paper proposed a right-handed circularly polarized (RHCP) micro-strip antenna for multi-navigation system applications. The size of the antenna is 70 mm × 70 mm × 2 mm, which is fabricated on an FR4 substrate. A meandering technique on a patch layer and asymmetrical defected ground structures (DGS) are employed to achieve the purpose of miniaturization and increase the bandwidth of the axial ratio. The prototype of this antenna is fabricated according to simulations where the bandwidth of return loss, bandwidth of axial ratio, and radio pattern are further testified. The bandwidth of return loss (S11) and axial ratio (AR) of the antennas are from 1.540 GHz to 1.612 GHz and 1.554 GHz to 1.601 GHz, which would be available for L1 of GPS, L1 of SBAS, E1 of Galileo as well as B1I and B1C of BDS-3, the last two of which can be used for aircraft tracking. The relative bandwidth is 2.98%, which satisfies the standard of wide-band patch antennas.
The Pumping SeaSoar: A High-Resolution Seawater Sampling Platform

Abstract The first results obtained with the Lamont Pumping SeaSoar (LPS), a combination measurement and sampling platform towed by a research ship at speeds of 6–7 kt, are presented. The system allows not only measurement of a suite of oceanographic parameters with in situ sensors, but also delivery of seawater samples through a 750-m tube (5/16-in. inner diameter) to a shipboard laboratory for chemical analyses, while undulating from near the surface to depths near 200 m. Here the performance of the system is demonstrated, and the time lag and signal smearing associated with the seawater sampling scheme are qualitively analyzed. The time lag was determined by comparing salinity determined from measurements of temperature, conductivity, and pressure made in situ by the sensors mounted on the towed body, with salinity determined from temperature and conductivity measurements made in the shipboard outlet of the sample stream. It varied smoothly from 10.8 to 11.5 min over 24 h of sampling, independent of th.
The Characterization of the Inhibitory Substances Produced by Bacillus pumilus LYMC-3 and the Optimization of Fermentation Conditions

Bacillus pumilus plays a very important role in the biological control of plant diseases. In this study, we conducted indoor biocontrol experiments using the LYMC-3 strain of B. pumilus to assess its efficacy against poplar canker and tea gray blight. Simultaneously, we explored the optimal fermentation conditions for the production of inhibitory substances against Phomopsis macrospora and Pestalotiopsis vesicolor. Subsequently, the inhibitory substances were extracted crudely and subjected to a preliminary investigation of their properties. The results of the indoor biocontrol experiments showed that the LYMC-3 strain exhibited disease prevention rates of 44.12% and 48.59% against poplar canker and tea gray blight, respectively. The fermentation optimization experiment showed that a culture medium containing 10 g/L of glucose, 15 g/L of tryptone, and 5 g/L of sodium chloride favored the production of inhibitory substances via the LYMC-3 strain. Among the crude extracts obtained, the non-protein extracts demonstrated the most obvious inhibitory effects. Furthermore, the inhibitory substances exhibited high polarity, excellent thermal stability, and high sensitivity to strong acids and bases. This study establishes a theoretical foundation for the purification and identification of inhibitory substances using the LYMC-3 strain. Additionally, it contributes to elucidating biological control mechanisms and facilitates the application of the LYMC-3 strain in production.
Impact of the Body Composition on Knee Osteoarthritis Assessed Using Bioimpedance Analysis

Osteoarthritis (OA) ranks among the most prevalent inflammatory diseases affecting the musculoskeletal system and is a leading cause of disability globally, impacting approximately 250 million individuals. This study aimed to assess the relationship between the severity of knee osteoarthritis (KOA) and body composition in postmenopausal women using bioimpedance analysis (BIA). The study included 58 postmenopausal females who were candidates for total knee arthroplasty. The control group consisted of 25 postmenopausal individuals with no degenerative knee joint changes. The anthropometric analysis encompassed the body mass index (BMI), mid-arm and mid-thigh circumferences (MAC and MTC), and triceps skinfold thickness (TSF). Functional performance was evaluated using the 30 s sit-to-stand test. During the BIA test, electrical parameters such as membrane potential, electrical resistance, capacitive reactance, impedance, and phase angle were measured. Additionally, body composition parameters, including Total Body Water (TBW), Extracellular Water (ECW), Intracellular Water (ICW), Body Cellular Mass (BCM), Extracellular Mass (ECM), Fat-Free Mass (FFM), and Fat Mass (FM), were examined. The study did not find any statistically significant differences in the electrical parameters between the control (0–1 grade on the K–L scale) and study groups (3–4 grade on the K–L scale). However, statistically significant differences were observed in BMI, fat mass (FM), arm circumference, triceps skinfold thickness, and sit-to-stand test results between the analyzed groups. In conclusion, the association between overweight and obesity with KOA in postmenopausal women appears to be primarily related to the level of adipose tissue and its metabolic activity.
Geochronologic history of deposition of the Upper Cretaceous Pictured Cliffs Sandstone, Fruitland Formation, and Kirtland Formation, San Juan Basin, New Mexico and Colorado

For about 25 m.y. , the Western Interior Seaway bisected the North American continent, withdrawing and disappearing from most of the area during Late Cretaceous time. In the San Juan Basin area of New Mexico and Colorado, the final regression of the western shoreline of the seaway was accompanied by deposition of the shoreface Pictured Cliffs Sandstone. Precise 40Ar/39Ar ages for sanidine crystals from eight altered volcanic ash beds precisely dated this regression across the San Juan Basin as beginning 76.28 Ma when the shoreline was in the southwest part of the basin and ending 73.55 Ma when the shoreline left the northeast part of the basin. (These ages are corrected from those reported in Fassett, 2000, per Kuiper et al., 2008 ? these authors assigned an age of 66.95 Ma to the K-Pg boundary vs. an age of 66.5 Ma that had been assigned earlier.) The Pictured Cliffs regression across the basin covered a distance of 145 km and took 2.73 m.y. The stratigraphic rise of the Pictured Cliffs across the basin was 384 m and thus the thickness of rock concurrently deposited was also 384 m. These precise geochronologic data make it possible to calculate the sedimentation and regression rates during the retreat of the Pictured Cliffs shoreline across the San Juan Basin.The overall average rate of sedimentation during that time, based on rock thickness, was thus about 140 m/m.y. and the average rate of regression of the shoreline was about 53 km/m.y. The decompacted 380-m rock thickness is 702 m yielding a corrected sedimentation rate of 257 m/m.y. These rates are averages, but because there are eight dated ash beds in this stratigraphic section, the rock thicknesses and time durations between these dated ashes can each be used to determine the variable rates of sediment accumulation and shoreline regression during the 2.73 m.y. it took for the Pictured Cliffs to regress across the basin. These data also make it possible to estimate the rate of tectonic subsidence and the creation of accommodation space during the PC regression; that is 114 m/m.y.