bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning for fast super-resolution ultrasound microvessel imaging
Authors: Luan Shunyao , Yu Xiangyang , Lei Shuang , Ma Chi , Wang Xiao , Xue Xudong , Ding Yi , Ma Teng , Zhu Benpeng 
Published: November 2023

Abstract

Objective. Ultrasound localization microscopy (ULM) enables microvascular reconstruction by localizing microbubbles (MBs). Although ULM can obtain microvascular images that are beyond the ultimate resolution of the ultrasound (US) diffraction limit, it requires long data processing time, and the imaging accuracy is susceptible to the density of MBs. Deep learning (DL)-based ULM is proposed to alleviate these limitations, which simulated MBs at low-resolution and mapped them to coordinates at high-resolution by centroid localization. However, traditional DL-based ULMs are imprecise and computationally complex. Also, the performance of DL is highly dependent on the training datasets, which are difficult to realistically simulate. Approach. A novel architecture called adaptive matching network (AM-Net) and a dataset generation method named multi-mapping (MMP) was proposed to overcome the above challenges. The imaging performance and processing time of the AM-Net have been assessed by simulation and in vivo experiments. Main results. Simulation results show that at high density (20 MBs/frame), when compared to other DL-based ULM, AM-Net achieves higher localization accuracy in the lateral/axial direction. In vivo experiment results show that the AM-Net can reconstruct ∼24.3 μm diameter micro-vessels and separate two ∼28.3 μm diameter micro-vessels. Furthermore, when processing a 128 × 128 pixels image in simulation experiments and an 896 × 1280 pixels image in vivo experiment, the processing time of AM-Net is ∼13 s and ∼33 s, respectively, which are 0.3–0.4 orders of magnitude faster than other DL-based ULM. Significance. We proposes a promising solution for ULM with low computing costs and high imaging performance.
Steering witnesses for unknown Gaussian quantum states
Authors: Mihaescu Tatiana , Kampermann Hermann , Isar Aurelian , Bruß Dagmar 
Published: November 2023

Abstract
We define and fully characterize the witnesses based on second moments detecting steering in Gaussian states by means of Gaussian measurements. All such tests, which arise from linear combination of variances or second moments of canonical operators, are easily implemented in experiments. We propose also a set of linear constraints fully characterizing steering witnesses when the steered party has one bosonic mode, while in the general case the constraints restrict the set of tests detecting steering. Given an unknown quantum state we implement a semidefinite program providing the appropriate steering test with respect to the number of random measurements performed. Thus, it is a ‘repeat-until-success’ method allowing for steering detection with less measurements than in full tomography. We study the efficiency of steering detection for two-mode squeezed vacuum states, for two-mode general unknown states, and for three-mode continuous variable GHZ states. In addition, we discuss the robustness of this method to statistical errors.
Extra long phosphorescence in organic materials at cryogenic temperatures investigation
Authors: Tsipenyuk D Yu , Slobodyanin V P , Voropinov A V , Chikin F K 
Published: November 2023

Abstract
In this paper, investigations of extra-long phosphorescence in organic materials and optical crystals at cryogenic temperatures are presented. This study continues the cycle of our previous works devoted to the physical mechanism understanding of the long-run phosphorescence excitation. We wish to create an advanced and efficient laser for the media based on the Shpolsky matrix analogue. Another goal is to consider the possibility of building an optical processor with an extra-long phosphorescence effect. For this purpose we were examining the experimental setup of complicated organic materials: cocamidopropyl betadine C19H38N2O3, polyethylene terephthalate (C10H8O4)
n
, perfluoro (2-methyl-3-pentanone, Novec 649) CF3CF2C(O)CF(CF3)2, Kalosha benzine (benzine BR-2, Nefras С2 80/120). Different optic and piezo crystals were also investigated: gadolinium aluminum gallium garnet Gd3Ga3Al2O12:Ce, lanthanum gallium silicate La3Ga5SiO14, terbium gallium garnet Tb3Ga5O12 , La3Ga5,5Ta0,5O14.
Comparative Analysis of Physiograpic Study for Hydrology of Benowo Region, Surabaya
Authors: Indriani Rista Fitri , Anjasmara Ira Mutiara , Utama Widya , Paramita Eksi Galih Kenya , Nainggolan Rompu Alden Oskanius 
Published: November 2023

Abstract
This study aims to determine the physiographic characteristics according to the slope, land use, and runoff that affect water control in the Benowo area, Surabaya. From the comparison of the results of the runoff in the dry season and the rainy season there was an increase in the average runoff value from 24 % to 26 %. Although there is a difference in the value of the runoff of 2 %, this can affect the increase in water runoff above the surface of the study area. The value of the runoff in the study region will be significantly impacted by changes in land use from agriculture and water to residential or industrial areas. The runoff predicted data’s overall accuracy value for both dry and wet seasons is good, and the Cohen’s kappa value is almost a perfect consistency. The overall accuracy value is 89.7% in the wet season compared to 87.4% in the dry season. During the dry season, the Cohen’s Kappa value is 83.8%, and during the rainy season, it is 86.6%. The result of this research is a preliminary study to study the distribution of rainfall, discharge, and hydrological engineering for development in Benowo area, Surabaya.
Analysis of GNSS and IMU Sensor Data Fusion Using the Unscented Kalman Filter Method on Medical Drones in Open Air
Authors: Navisa S C , Cahyadi M N , Asfihani T 
Published: November 2023

Abstract
Accurate and efficient position estimation is an important element in flight missions for autonomous aerial vehicles such as Unmanned Aerial Vehicles (UAVs). UAVs rely on sensors that provide information regarding position, speed, and orientation. GPS and IMU are sensors that can provide navigation information, where each sensor has characteristics that can complement each other’s shortcomings. Research related to the integration of GPS and IMU sensors for positioning with increasingly higher accuracy has been widely applied, one of which is the Kalman Filter method. Kalman filter not only performs digital signal filtering but is also capable of smoothing and predicting recursion to obtain the most accurate estimation results. Along with the development of the modification of the Kalman Filter, the Unscented Kalman Filter (UKF) method is a solution in overcoming nonlinear systems with estimation results approaching the actual value, so that the positioning accuracy is higher and convergent. This study intends to analyze the fusion performance of GPS and IMU sensor data using the UKF method on Medical Drones in an open space in order to obtain a position with high accuracy. UKF simulations on Medical Drones were carried out using a mathematical model on a 6 DOF (Degree of Freedom) UAV. The sensor data fusion performance was tested by comparing the results of the UKF method with the EKF on the Geopointer software. The results showed that the UKF simulation gave a positional accuracy of 0.022 m to the measurement data. The UKF simulation results in a better positioning accuracy when compared to EKF processing on the Geopointer software which only achieves a position accuracy of 8.467 m. The low accuracy of the EKF processing results is due to the mismatch of the IMU parameters obtained with the actual Medical Drone parameters.
Ability of Palm Kernel Shell Adsorbent in Reducing Mercury (Hg)
Authors: Purwanti I.F. , Titah H.S. , Santoso I.B. , Qotrunnadha Z. 
Published: November 2023

Abstract
One method to reduce the content of heavy metal mercury in wastewater is adsorption. Several media materials have been investigated for use as adsorbents. In this study the characteristics of the palm kernel shell were analysed so that it could be used as an adsorbent. In addition, it also analysed its ability to reduce levels of mercury in wastewater. Palm kernel shells were activated using two types of activators, namely H3PO4 and NaOH and variations in adsorbent sizes of 50 mesh and 100 mesh, as well as variations in contact time for 30 and 60 minutes. Based on the results of this study, it was obtained that the characteristics of the adsorbent of palm kernel shells with the use of H3PO4 and NaOH activators met the quality based on SNI 06-330-95. The adsorption efficiency of mercury (Hg) removal can reach 99.7% with a contact time of 60 minutes and an adsorbent size of 100 mesh activated by NaOH.
Potential of Plastic Waste Leakage to Environment in Indonesian Final Disposal
Authors: Ramadan A H , Sembiring E 
Published: November 2023

Abstract
The majority of developing nations still utilize landfills as their primary method of disposing of municipal solid waste (MSW), and Indonesia is no exception to this technology. On the other hand, landfill contributes a significant fraction of plastic in the global environmental leakage from mismanaged landfill and open dumping site in Asian countries. Furthermore, Indonesia has a long history of landfill mismanagement and open dumping. The loss of plastic to the environment could lead to multisectoral impacts on the health, environment, and economy. In this paper, we analyze the current situation of landfill and the potential of plastic waste leakage from landfills to the environment using systematic review and metadata analysis using GIS in Indonesia. In addition, this study analyses potential plastic leakage based on the distance to the waterways, leachate treatment facility and landfill facility. Based on the analysis, only around 11% of the landfill were claimed as sanitary landfill, yet only 3% operated based on the sanitary landfill standard of Indonesia after the analysis. The controlled landfill is also implemented in Indonesia at around 52%, and open dumping is around 37% of total final disposal. Based on the GIS analysis, more than 20% of landfill in Indonesia are near the waterways, which increase the potential for plastic leakage. Policymakers can use the resulting study to identify and prioritise ways to stop the environmental leakage of plastics from landfills.
Socio-behavioral assessment of household solid waste management: The case of Barangay Calicanto, Philippines
Authors: Treyes A C , Osorio E , Tanchuling M A , Andal M D , Requejo B , Inocencio B , Panopio C 
Published: November 2023

Abstract
The cycle of waste generation, segregation, disposal, and recovery is highly dependent on varying human activities and their awareness towards solid waste management (SWM). This study presents the first reported socio-behavioral assessment focusing on the households in a city in the Philippines to bridge the intention-action gap of SWM stakeholders by imploring socio-behavioral change communication activities through the trials of improved practices (TIPs). Findings reveal the significant contribution of women in household waste management responsibilities, highlighting their active participation in SWM initiatives. Analysis of short-term and long-term committed and accomplished actions demonstrated the willingness of the households to adopt sustainable waste management practices. Collective action of policymakers, waste management authorities, and stakeholders should consider the dynamics within households including their financial capacities, provide education and support, develop waste management infrastructures and systems, and create conducive conditions for behavioral change.
Solid waste characterization at Tanjungan dam ecovillage, Mojokerto, Indonesia
Authors: Tarigan E , Simangunsong T L , Athaya A A , Parapaga P D P 
Published: November 2023

Abstract
The aims of the study are to present waste composition and improve waste management at the tourism destination of Tanjungan Dam Ecovillage, Mojokerto. The sampling and interviews were conducted for estimating the characterization and management practice of solid waste. The results showed that the tourism destination generated solid waste of around 18.82 kg/day. The generation rate of organic waste was 1.68 kg/day and 5.94 kg/day of inorganic,. Another waste generated from this destination is yard waste, which was around 11.2 kg daily. The result of the interview with the ecovillage officers presented that the awareness of waste management was still low. The solid waste management of the ecovillage was collect-transport-dispose with low rates and efficiency. Furthermore, there is no segregation of the waste, no control of inorganic waste, no regular schedule of yard waste collection, and no education for the tourists to rising their awareness about solid waste. To improve the solid waste management system and ensure the ecovillage’s sustainability, these facts had to be overcome.
Bayesian parameter estimation for characterising mobile ion vacancies in perovskite solar cells
Authors: McCallum Samuel G , Nicholls Oliver , Jensen Kjeld O , Cowley Matthew V , Lerpinière James E , Walker Alison B 
Published: November 2023

Abstract
To overcome the challenges associated with poor temporal stability of perovskite solar cells, methods are required that allow for fast iteration of fabrication and characterisation, such that optimal device performance and stability may be actively pursued. Currently, establishing the causes of underperformance is both complex and time-consuming, and optimisation of device fabrication is thus inherently slow. Here, we present a means of computational device characterisation of mobile halide ion parameters from room temperature current–voltage (

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) measurements only, requiring ∼2 h of computation on basic computing resources. With our approach, the physical parameters of the device may be reverse-modelled from experimental

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measurements. In a drift-diffusion (DD) model, the set of coupled DD partial differential equations cannot be inverted explicitly, so a method for inverting the DD simulation is required. We show how Bayesian Parameter Estimation coupled with a DD perovskite solar cell model can determine the extent to which device parameters affect performance measured by

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characteristics. Our method is demonstrated by investigating the extent to which device performance is influenced by mobile halide ions for a specific fabricated device. The ion vacancy density N
0 and diffusion coefficient DI
were found to be precisely characterised for both simulated and fabricated devices. This result opens up the possibility of pinpointing origins of degradation by finding which parameters most influence device

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curves as the cell degrades.
Interactions with fungi vary amongTripsacum dactyloidesgenotypes from across a precipitation gradient
Authors: Kural-Rendon Ceyda , Ford Natalie E , Wagner Maggie R 
Published: November 2023

AbstractPlant-associated microbes, specifically fungal endophytes, augment the ability of many grasses to adapt to extreme environmental conditions. Tripsacum dactyloides (Eastern gamagrass) is a perennial, drought-tolerant grass native to the tallgrass prairies of the central USA. The extent to which the microbiome of T. dactyloides contributes to its drought tolerance is unknown. Ninety-seven genotypes of T. dactyloides were collected from native populations across an east–west precipitation gradient in Kansas, Oklahoma and Texas, and then grown together in a common garden for over 20 years. Root and leaf samples were visually examined for fungal density. Because fungal endophytes confer drought-tolerant capabilities to their host plants, we expected to find higher densities of fungal endophytes in plants from western, drier regions, compared to plants from eastern, wetter regions. Results confirmed a negative correlation between endophyte densities in roots and precipitation at the genotype’s original location (r = −0.21 P = 0.04). Our analyses reveal that the host genotype’s origin along the precipitation gradient predicts the absolute abundance of symbionts in the root, but not the relative abundances of particular organisms or the overall community composition. Overall, these results demonstrate that genetic variation for plant–microbe interactions can reflect historical environment, and reinforce the importance of considering plant genotype in conservation and restoration work in tallgrass prairie ecosystems.
Telescopic peristomes, hygroscopic movement and the spore release model of Regmatodon declinatus (Leskeaceae Bryophyta)
Authors: Wu Yanzhi , Wang Zhihui , Zhang Zhaohui 
Published: November 2023

Abstract
Moss peristome hygroscopic movement plays an important role in protecting and controlling spore release. Recent studies on the peristome’s hygroscopic movement and spore release have focussed on mosses with ‘perfect’ peristomes, such as Brachytheciaceae, whereas the hygroscopic movement type and spore release pattern of ‘specialized’ peristomes, such as Regmatodon declinatus, are poorly understood. We investigated the relationship between the peristome’s hygroscopic movement and spore release in the ‘specialized’ peristome of R. declinatus by the measurement of peristome hygroscopic movement parameters and the hygroscopic movement spore release test. It was found that: (i) Exostomes (EX) are significantly shorter than endostomes (EN), triggering the hygroscopic movement of telescopic peristomes, in which the EX rapidly elongate while closing in on the EN, and the teeth rapidly converge. (ii) Spore release was minimal when peristome movement was triggered alone. The number of spores released when exposed to wind was 124 times greater than in the absence of wind. Dry capsules released seven times more spores than wet capsules. The study reveals that the hygroscopic movement of ‘telescopic’ peristomes of R. declinatus did not contribute significantly to spore release. More spores were released when wind and hygroscopic movement acted synergistically. Dry capsules released the maximum number of spores. It was also revealed that structural damage to capsules can facilitate complete spore release. Finally, we modelled the release of R. declinatus spores from initiation to complete release, namely the coupled release model of wind-water-capsule structural damage.
Serum starvation-based method of ovarian cancer cell dormancy induction and termination in vitro
Authors: Rutecki Szymon , Leśniewska-Bocianowska Agnieszka , Chmielewska Klaudia , Matuszewska Julia , Naumowicz Eryk , Uruski Paweł , Radziemski Artur , Mikuła-Pietrasik Justyna , Tykarski Andrzej , Książek Krzysztof 
Published: November 2023

Abstract
Awakening and growth reinitiation by dormant cells may contribute to epithelial ovarian cancer (EOC) relapse. The links between these phenomena are loose because of the limited stock of compelling models of EOC dormancy. Here, we show a simple and convenient dormancy research protocol based on serum starvation. This study was conducted on established EOC cell lines A2780, OVCAR-3, and SKOV-3, as well as on primary EOC cells. Cell growth arrest and proliferation were monitored by assessing the Ki67 antigen, PKH26 fluorescence, and cell cycle distribution. In addition, cells were tested for ERK1/2/p38 MAPK activity ratio, apoptosis, and senescence. The study showed that 72-h serum starvation induces G0/G1 growth arrest of a significant fraction of cells, accompanied by reduced Ki67 and ERK1/2/p38 MAPK activity ratio, without signs of apoptosis or cellular senescence. Moreover, providing cells with 72 h of a medium enriched in 5% serum allows the culture to regain its proliferative potential. At the same time, we attempted to induce and terminate dormancy with Mitomycin C addition and withdrawal, which were unsuccessful. In conclusion, serum starvation is a convenient way to reliably induce dormancy in EOC cells, allowing them to be efficiently awakened for further mechanistic research in vitro.
How Simple Maths Can Inform Our Basic Understanding of Phage Therapy
Authors: Abedon Stephen T 
Published: November 2023

Abstract
Phage therapy is the application of bacterial viruses to control and, ideally, to eliminate problematic bacteria from patients. Usually employed are so-called strictly lytic phages, which upon adsorption of a bacterium should give rise to both bacterial death and bacterial lysis. This killing occurs with single-hit kinetics, resulting in relatively simple ways to mathematically model organismal-level, phage-bacterium interactions. Reviewed here are processes of phage therapy as viewed from these simpler mathematical perspectives, starting with phage dosing, continuing through phage adsorption of bacteria, and then considering the potential for phage numbers to be enhanced through in situ phage population growth. Overall, I suggest that a basic working knowledge of the underlying “simple maths” of phage therapy can be helpful toward making dosing decisions and predicting certain outcomes. This especially is during controlled in vitro experimentation but is relevant to thinking about in vivo applications as well.
Towards Standardization of Phage Susceptibility Testing: The Israeli Phage Therapy Center “Clinical Phage Microbiology”—A Pipeline Proposal
Authors: Yerushalmy Ortal , Braunstein Ron , Alkalay-Oren Sivan , Rimon Amit , Coppenhagn-Glazer Shunit , Onallah Hadil , Nir-Paz Ran , Hazan Ronen 
Published: November 2023

Abstract
Using phages as salvage therapy for nonhealing infections is gaining recognition as a viable solution for patients with such infections. The escalating issue of antibiotic resistance further emphasizes the significance of using phages in treating bacterial infections, encompassing compassionate-use scenarios and clinical trials. Given the high specificity of phages, selecting the suitable phage(s) targeting the causative bacteria becomes critical for achieving treatment success. However, in contrast to conventional antibiotics, where susceptibility-testing procedures were well established for phage therapy, there is a lack of standard frameworks for matching phages from a panel to target bacterial strains and assessing their interactions with antibiotics or other agents. This review discusses and compares published methods for clinical phage microbiology, also known as phage susceptibility testing, and proposes guidelines for establishing a standard pipeline based on our findings over the past 5 years of phage therapy at the Israeli Phage Therapy Center.
Use of Bacteriophages to Target Intracellular Pathogens
Authors: Fajardo-Lubian Alicia , Venturini Carola 
Published: November 2023

Abstract
Bacteriophages (phages) have shown great potential as natural antimicrobials against extracellular pathogens (eg, Escherichia coli or Klebsiella pneumoniae), but little is known about how they interact with intracellular targets (eg, Shigella spp., Salmonella spp., Mycobacterium spp.) in the mammalian host. Recent research has demonstrated that phages can enter human cells. However, for the design of successful clinical applications, further investigation is required to define their subcellular behavior and to understand the complex biological processes that underlie the interaction with their bacterial targets. In this review, we summarize the molecular evidence of phage internalization in eucaryotic cells, with specific focus on proof of phage activity against their bacterial targets within the eucaryotic host, and the current proposed strategies to overcome poor penetrance issues that may impact therapeutic use against the most clinically relevant intracellular pathogens.