Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolomics analysis of mycelial exudates provides insights into fungal antagonists of Armillaria

ABSTRACT The genus Armillaria has high edible and medical values, with zones of antagonism often occurring when different species are paired in culture on agar media, while the antagonism-induced metabolic alteration remains unclear. Here, the metabolome of mycelial exudates of two Chinese Armillaria biological species, C and G, co-cultured or cultured separately was analysed to discover the candidate biomarkers and the key metabolic pathways involved in Armillaria antagonists. A total of 2,377 metabolites were identified, mainly organic acids and derivatives, lipids and lipid-like molecules, and organoheterocyclic compounds. There were 248 and 142 differentially expressed metabolites between group C-G and C, C-G, and G, respectively, and fourteen common differentially expressed metabolites including malate, uracil, Leu-Gln-Arg, etc. Metabolic pathways like TCA cycle and pyrimidine metabolism were significantly affected by C-G co-culture. Additionally, 156 new metabolites (largely organic acids and derivatives) including 32 potential antifungal compounds, primarily enriched into biosynthesis of secondary metabolites pathways were identified in C-G co-culture mode. We concluded that malate and uracil could be used as the candidate biomarkers, and TCA cycle and pyrimidine metabolism were the key metabolic pathways involved in Armillaria antagonists. The metabolic changes revealed in this study provide insights into the mechanisms underlying fungal antagonists.
Physics of semiconductors below 1K

Un apercu, des methodes experimentales en dessous de 1K et des proprietes des semiconducteurs aux tres basses temperatures avec un accent mis sur les phenomenes coherents pres de la transition metal-isolant, sur l'etat fondamental d'un gaz d'electrons en interaction et sur les transitions de phase a basse temperature, est donne
Half Hexagonal Shaped UWB antenna with triple band notch using resonating structures for wireless communication

: In this article, an UWB (Ultra-wide Band) compact monopole antenna with triple band-notched characteristics is presented. The antenna structure consists of a half-hexagon monopole with rectangular and square resonant spirals structures for the exclusion of frequency bands for WiMAX (3.25-3.85GHz), WLAN(5.15-5.85GHz), and Fixed/Mobile Satellite Communication (7.55-7.75GHz). The compact antenna of size 28x 29 mm 2 achieves simulated ultra-wide bandwidth of 14.7GHz (2.9GHz-17.6GHz) and measured bandwidth of 14.8GHz (3.21-18.0GHz). The stable gain characteristic is obtained for the passband and gain is reduced to - 2.02dBi (3.57GHz), 0.4 dBi (5.3GHz) and-2.75dBi (7.6GHz) at band notch frequencies.
The Differential Geometry of Instantons

The instanton solutions to the Yang-Mills equations have a vast range of practical applications in field theories including gravitation and electro-magnetism. Solutions to Maxwell’s equations, for example, are abelian gauge instantons on Minkowski space. Since these discoveries, a generalised theory of instantons has been emerging for manifolds with special holonomy. Beginning with connections and curvature on complex vector bundles, this thesis provides some of the essential background for studying moduli spaces of instantons. Manifolds with exceptional holonomy are special types of seven and eight dimensional manifolds whose holonomy group is contained in G2 and Spin(7), respectively. Focusing on the G2 case, instantons on G2 manifolds are defined to be solutions to an analogue of the four dimensional anti-self-dual equations. These connections are known as Donaldson-Thomas connections and a couple of examples are noted.
To Whale or Not to Whale: Repeated Purchase Behavior Paid Players in Genshin Impact

Online games are a means of entertainment for people of all ages and can be easily accessed by anyone. Games or online games that are becoming a trend today are socially interactive video games. These online games invite friends, family, and others to join and participate in ongoing games. This study investigates factors influencing repurchase decisions and intentions among online game players, Genshin Impact, in DKI Jakarta. A quantitative research method was employed, utilizing Partial Least Square with SmartPLS software, and a sample of 500 respondents was analyzed. The variables examined include online game service, game authenticity, social influence, facilitating online conditions, hedonic motivations, price value, habit, repurchase intention, and repurchase decision. The findings reveal that game authenticity, facilitating online conditions, and habit positively influence repurchase intention, while online game services negatively affect it. However, social influence, hedonic motivation, and price value do not significantly impact repurchase intention. In terms of repurchase decisions, facilitating online conditions, hedonic motivation, price value, and repurchase intention have a positive influence, whereas social influence and habit exert a negative effect. Online game services and game authenticity do not significantly influence repurchase decisions. The study also found that repurchase intention mediates the positive impact of game authenticity, facilitating online conditions and habits on repurchase decisions, and the negative impact of online game service on repurchase decisions. However, it does not mediate the effects of social influence, hedonic motivation, and price value on repurchase decisions.
Countering terrorism on social media: An analysis of online anti-terrorism movement in Indonesia

This study scrutinizes the nature of online citizen-driven collective actions aimed at countering terrorism following bombing attacks in Indonesia. In particular, this study illuminates the framing processes, public sentiments, and actors involved in the movement. An analysis of 10,000 tweets bearing the hashtag #KamiTidakTakut (we are not afraid) showed that the participants predominantly employed motivational frames to encourage others to engage in anti-terrorism efforts and defy terror by bolstering collective identity. Moreover, while the tweets were mainly conveyed in a positive tone, a considerable number of tweets voiced negative sentiments, including criticism of the movement. In addition, most tweets came from citizens, and some were from media outlets, civil society organizations, government agencies, and public figures. The study enriches the literature on online collective actions in the context of terrorism and offers practical insights into the design of public anti-terrorism campaigns.
Periodic event‐triggered observation and control for nonlinear Lipschitz systems using impulsive observers

In this paper, we investigate the observation and stabilization problems for a class of nonlinear Lipschitz systems, subject to network constraints, and partial state knowledge. In order to address these problems, an impulsive observer is designed, making use of the event‐triggered technique in order to diminish the network communications. Sufficient conditions are given to ensure a milder version of the separation principle for these systems, controlled via an event‐triggered controller. The proposed observer ensures practical state estimation, while the corresponding dynamic controller ensures practical stabilization. The sampling and the data transmission are carried out asynchronously. The dynamic controller is tested in simulation on a flexible joint. Copyright © 2017 John Wiley & Sons, Ltd.
Wave-Propagation Modeling and Inversion Using Frequency-Domain Integral Equation Methods

Wave-Propagation Modeling and Inversion Using Frequency-Domain Integral Equation Methods Christopher E. Strickland Chair of the Supervisory Committee: Research Associate Professor, Robert I. Odom Earth and Space Sciences Full waveform inverse methods describe the full physics of wave propagation and can potentially overcome the limitations of ray theoretic methods. This work explores the use of integral equation based methods for simulation and inversion and illustrates their potential for computationally demanding problems. A frequency-domain integral equation approach to simulate wave-propagation in heterogeneous media and solve the inverse wave-scattering problem will be presented for elastic, acoustic, and electromagnetic systems. The method will be illustrated for georadar (groundor ice-penetrating radar) applications and compared to results obtained using ray theoretic methods. In order to tackle the non-linearity of the problem, the inversion incorporates a broad range of frequencies to stabilize the solution. As with most nonlinear inversion methods, a starting model that reasonably approximates the true model is critical to convergence of the algorithm. To improve the starting model, a variable reference inversion technique is developed that allows the background reference medium to vary for each sourcereceiver data pair and is less restrictive than using a single reference medium for the entire dataset. The reference medium can be assumed homogeneous (although different for each data point) to provide a computationally efficient, single-step, frequency-domain inversion approach that incorporates finite frequency effects not captured by ray based methods. The inversion can then be iterated on to further refine the solution.
Histološka i morfometrijska analiza gonada mužjaka kostelja(Squalus acanthias L.) u Jadranskom moru

U razdoblju od 2005. do 2007. godine na podrucju sjevernog Jadrana prikupljena je 61 jedinka mužjaka vrste pas kostelj (Squalus acanthias L.). Istraživano podrucje obuhvacalo je Losinjski akvatorij između 44°32’ i 43°44’ sjeverne zemljopisne sirine te 15°05’ i 14°40’ istocne zemljopisne dužine. Životinje su prikupljane pomocu komercijalnih kocarica. Ulovljeni morski psi su morfometrijski obrađeni nakon cega su izolirane gonade. Na prikupljenim uzorcima testisa izvrsena je histoloska analiza i stereoloska mjerenja, kako bi se utvrdili razvojni stadiji gonada. Rezultati pokazuju da se ukupna duljina životinja kretala u rasponu između 30,0 cm i 81,6 cm (srednja dužina ± SD: 53,50 ± 14,13). Na temelju morfometrijske analize zakljuceno je da mužjaci dostižu spolnu zrelost kod velicina tijela vecih od 55 cm. Histoloskom analizom gonada identificirano je sest stadija spermatogeneze te su formirane 4 skupine jedinki prema vremenu ulova. Stereoloskim mjerenjima na histoloskim preparatima utvrđena je visoka razina zrelih spermatocista u skupini ulovljenoj između studenog i prosinca, sto upucuje da se ova vrsta razmnožava u tom dijelu godine.
Informal interorganizational business relationships, satisfaction, and firm performance: Case of Arab Maghreb countries

Understanding how informal relationships such as Wasta operate in different cultures is necessary for multinationals to thrive. However, studies on the effect of such networks on multinationals' activities in Arab countries remain limited. The aim of this study is to examine the effect of informal inter-organizational business relationships on the satisfaction and performance of firms in Arab Maghreb countries. This research is based on a self-administered survey with 534 procurement managers from Morocco (n = 220), Algeria (n = 148) and Tunisia (n = 166). We used structural equations to test our hypotheses. The results showed that Wasta has almost the same effect on interorganizational relationship in the three Maghreb countries. Specifically, Mojamala (affection) does not influence the satisfaction of the B2B relationship within the three counties under study, while Hamola (reciprocity) and Somah (trust) positively influence this relationship. The analysis showed that the negative side of Somah has a negative influence on satisfaction only in Algeria. The results also showed that satisfaction positively influences the performance of Maghrebian B2B partners. These results show that the phenomenon of Wasta is rooted in the cultures of the Maghreb countries and underscore the need to conduct further studies to understand it and to raise awareness among multinationals that plan to do business with the local partners or those who are planning to relocate. Implications for IB, theory and policy are discussed together with the study’s limitations and suggestions for future research. Through this study, we contribute to the development of research on cross-culture management by showing the effect of Wasta as a cultural phenomenon on business relations in the Maghreb countries. Our research is the first to investigate the effect of the informal interorganizational relationship on the satisfaction and performance of B2B partners.
6G Broadband and High Directive Microstrip Antenna with SIW and FSSs

Sixth-Generation (6G) wireless communication networks require the fabrication of broadband and high directivity microstrip antennas to offset the high atmospheric path loss beyond 100 Gigahertz (GHz). In this paper, we designed and proposed a couple of high-gain and broadband microstrip array antennas that have been designed within a Finite Integration Technique (FIT) solver at Computer Simulation Technology Microwave Studio (CST MWS) software in a series-parallel feeding method for a resonance frequency above 107 GHz. A Substrate-Integrated Waveguide (SIW) with dual outputs has been used at these antennas and with WR-08 waveguide that covers the 90-140 GHz frequency range, while the first was without Frequency Selective Surfaces (FSSs), and the second was with the FSSs to increase the antenna directivity further. The first design was simulated with a Finite Element Method (FEM) solver at Ansys High-Frequency Structure Simulator (HFSS) to compare the simulation results of this antenna. This comparison's peak gain and Bandwidth (BW) were correspondingly 25.3 dB, 12.5 GHz, 23.1 dB, and 11 GHz from the Ansys HFSS and the CST MWS. Thus, the accuracy and the slight deviation of the compared simulation results from each other validated the offered 6G antenna designs. Therefore, after experimental verification, the proposed antennas can be employed in 6G future wireless communication networks.
Research Hotspots and Trends of Deep Learning in Critical Care Medicine: A Bibliometric and Visualized Study

Background Interest in the application of deep learning (DL) in critical care medicine (CCM) is growing rapidly. However, comprehensive bibliometric research that analyze and measure the global literature is still lacking. Objective The present study aimed to systematically evaluate the research hotspots and trends of DL in CCM worldwide based on the output of publications, cooperative relationships of research, citations, and the co-occurrence of keywords. Methods A total of 1708 articles in all were obtained from Web of Science. Bibliometric analysis was performed by Bibliometrix package in R software (4.2.2), Microsoft Excel 2019, VOSviewer (1.6.18), and CiteSpace (5.8.R3). Results The annual publications increased steeply in the past five years, accounting for 95.67% (1634/1708) of all the included literature. China and USA contributed to approximately 71.66% (1244/1708) of all publications. Seven of the top ten most productive organizations rank in the top 100 universities globally. Hot spots in research on the application of DL in CCM have focused on classifying disease phenotypes, predicting early signs of clinical deterioration, and forecasting disease progression, prognosis, and death. Convolutional neural networks, long and short-term memory networks, recurrent neural networks, transformer models, and attention mechanisms were all commonly used DL technologies. Conclusion Hot spots in research on the application of DL in CCM have focused on classifying disease phenotypes, predicting early signs of clinical deterioration, and forecasting disease progression, prognosis, and death. Extensive collaborative research to improve the maturity and robustness of the model remains necessary to make DL-based model applications sufficiently compelling for conventional CCM practice.
Intersection Stopping Behavior as Influenced by Driver State: Implications for Intersection Decision Support Systems

It is estimated that as many as 2.7 million crashes occur each year at intersections or are intersection related; resulting in over 8500 fatalities each year. These statistics have prompted government and corporate sponsored research into collision countermeasure systems that can enhance safety at intersections. Researchers are investigating technologies to provide an infrastructure-based or infrastructure-cooperative Intersection Decision Support (IDS) systems. Such systems would use pre-specified algorithms to identify drivers that have a high likelihood of violating the traffic signal and thus increase the risk of a collision. The system would subsequently warn the violating driver to stop though an in-vehicle or infrastructure-mounted interface. An IDS algorithm must be designed to provide adequate time for the driver to perceive, react, and stop the vehicle, while simultaneously avoiding a high false alarm rate. Prior to developing these algorithms, scientists must understand how drivers respond to traffic signals. Little research has focused on the influence of driver state on red-light running behavior or methods for distinguishing red light violators from non-violators. The objective of the present study was to define trends associated with intersection crossings under different driver states and to explore the point detection method of predicting red light running upstream of the intersection. This was accomplished through a test-track mixed-factor experiment with 28 participants. Each participant experienced a baseline (complete a full stop at the red light), distracted (misses signal phase change due to inattention), and willful (driver knowingly makes a late crossing in an attempt to ‘beat the light’) driver state conditions. To provide the opportunity for red-light running behavior from participants, the amber change interval began at five different distances from the intersection. These distances were located near and within the dilemma zone, a region in which drivers have a difficult time deciding whether to go or to stop. Data collected from in-vehicle sensors was statistically analyzed to determine significant effects between driver states, and to investigate point detection algorithms.
Prevalence, Microbiological Profile, and Risk Factors of Surgical Site Infections in Saudi Patients with Colorectal Cancer

Background: Resection surgery in patients with colorectal cancer (CRC) patients is associated with potential complications, including surgical site infection (SSI). Objectives: To estimate the prevalence rate of SSI, identify the common pathogens responsible for SSI, and determine potential risk factors for SSI development in a cohort from Saudi Arabia. Materials and Methods: Patients with CRC who underwent bowel resection surgery at King Abdulaziz Medical City, Riyadh, between January 01, 2016, and December 31, 2019, were retrospectively included. Demographics, comorbidities, surgical procedure data, and the results of preoperative laboratory tests were retrospectively collected from medical records through the health information system. The study population was divided into two groups: those who developed SSI and those who did not. Results: A total of 92 patients with CRC who underwent resection surgery were included, of which 54 (58.7%) were males. The median age was 65 (IQR 55.5–75.0) years. SSI was observed in 25 (27.2%) patients. The most frequently isolated organisms were Escherichia coli and Pseudomonas aeruginosa, followed by Klebsiella pneumoniae, vancomycin-sensitive Enterococcus faecium, and methicillin-resistant Staphylococcus aureus. Three E. coli isolates were producers of extended-spectrum beta-lactamases, and two K. pneumoniae isolates exhibited a multidrug resistance profile. Low preoperative serum albumin level was identified as a significant independent risk factor for developing SSI (AOR = 0.853, 95% CI = 0.748–0.973, P = 0.0181). Conclusion: The study found a notable prevalence of SSI among the included patients. Gram-negative bacteria were more involved in SSI events and were also associated with drug-resistance patterns. Gut microbiota bacteria were most commonly involved in SSIs. Low preoperative serum albumin levels predicted the development of postoperative SSI, and thus its close monitoring and management before surgery could reduce the SSIs.
An Innovative Integrated Framework for Cooperative Search and Track of Moving Emitters in Areas with Obstacles

—In this paper, the problem of detection and tracking of emitters by multiple ﬂying-vehicles, working in a cooperative manner, is considered. The radio sensor on each vehicle is capable of measuring the distance of the vehicle to the radio emitter. The goal is to detect the presence of such emitters, localize, and then track them. Meanwhile, the emitter can be moving or stationary, and may go beyond some environmental obstacles that prevent it from being sensed. The proposed procedure optimizes the routes and tasks of the employed ﬂying-vehicles by minimizing a suitably-deﬁned cost function. Moreover, the appropriateness level of the assigned routes and tasks is continuously assessed, so that if it drops below an acceptable threshold due to the dynamics of the scenario, optimization is performed again and the routes and tasks are renewed. The simulations, as well as the complexity discussion, verify effectiveness of the proposed method, considering the applied requirements and limitations.
Impact of a Novel Hydrogel with Injectable Platelet-Rich Fibrin in Diabetic Wound Healing

Diabetic wounds are serious complications caused by diabetes mellitus (DM), which are further exacerbated by angiogenesis disorders and prolonged inflammation. Injectable platelet-rich fibrin (i-PRF) is rich in growth factors (GFs) and has been used for the repair and regeneration of diabetic wounds; however, direct application of i-PRF has certain disadvantages, including the instability of the bioactive molecules. Sericin hydrogel, fabricated by silkworm-derived sericin, is a biocompatible material that has anti-inflammatory and healing-promoting properties. Therefore, in this study, we developed a novel hydrogel (named sericin/i-PRF hydrogel) using a simple one-step activation method. The in vitro studies showed that the rapid injectability of the sericin/i-PRF hydrogel allows it to adapt to the irregular shape of the wounds. Additionally, sericin hydrogel could prolong the release of i-PRF-derived bioactive GFs in the sericin/i-PRF hydrogel. Furthermore, sericin/i-PRF hydrogel effectively repaired diabetic wounds, promoted angiogenesis, and reduced inflammation levels in the diabetic wounds of nude mice. These results demonstrate that the sericin/i-PRF hydrogel is a promising agent for diabetic wound healing.
Planar p–n Junction Based on a TMDs/Boron Nitride Heterostructure

Transition metal dichalcogenides (TMDs) are attracting growing interest for their prospective application in electronic and optical devices. As a leading material in researches of two‐dimensional (2D) electronics, although band structure is layer‐dependent, the TMDs show ambipolar properties. While optically excited light emission has been widely investigated, study on electrically generated emission is still limited. Taking the advantage of its ambipolarity and presence of direct band‐gap in monolayer, we developed an electrically driven light emitting device based on stacked 2D flakes to obtain sharp planar p–n junction in monolayer. Specifically, we have fabricated atomic‐layer TMDs/boron nitride (BN) artificial heterostructures using stacked h‐BN thin flake as a mask to partially cover the TMDs transistor channel allowing high‐density hole accumulation (p‐region) via localized exposure to gate‐controlled accumulation of anions. Transport through the junction shows typical diode‐like rectification current with accompanying strong and sharp light emission from the crystal edge of BN mask for the monolayer case.