bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on Measurement of Adsorption Capacity of Unsymmetrical Dimethylhydrazine Gas based on Stainless Steel
Authors: Qu Zhongkai , Cui Hu , Du Yao , Sun Shibin , Lao Wei 
Published: February 2023

Abstract
Unsymmetrical dimethylhydrazine (UDMH), as a high-energy liquid propellant, is widely used in aerospace, rocket, aircraft, and other fields. However, it also has certain toxicity, fire, and explosion risks, which will cause harm to the human liver, kidney, central nervous system, blood system, etc., especially the nervous system. UDMH is easy to be adsorbed on the surface of the human body or other substances, but there is a lack of research reports on the measurement of its adsorption capacity. In this paper, based on the principle of measuring gas adsorption capacity by the volumetric method, a set of UDMH gas adsorption capacity testing devices was built. In the experiment, 304 and 316L stainless steel materials were used as the adsorbent. Under the same experimental temperature and pressure conditions, the test bottle containing the adsorbent was filled with UDMH gas of different concentrations and fully adsorbed until saturation to explore the influence of 304 stainless steel surface roughness and 304 and 316L stainless steel materials on the adsorption capacity of UDMH gas under the same experimental conditions. The experimental results show that the adsorption capacity of 304 and 316L stainless steel materials to UDMH gas increases with the increase of UDMH gas concentration in the concentration range (0~100 ppm) studied in this paper. After polishing the surface of 304 stainless steel material, compared with the unpolished 304 stainless steel material under the same conditions, the adsorption capacity after polishing is significantly smaller, indicating that the larger the surface roughness of the adsorbent, the more adsorption capacity. Under the same conditions, the adsorption capacity of UDMH gas on 304 and 316L stainless steel materials is approximately equal. The experiment also proves that the adsorption of UDMH gas on stainless steel materials conforms to monolayer adsorption within the concentration range studied in this paper.
A weighted k-nearest neighbor process monitoring method based on statistical volume pattern analysis
Authors: Guo Pei 
Published: February 2023

Abstract
Process monitoring technology has developed rapidly in response to the increasing demand for safer and more reliable systems in modern process operations. Online process monitoring plays an important role not only in ensuring process safety through the timely detection of process faults but also in improving process productivity and product quality. One of the outstanding features of modern manufacturing facilities, which are large in scale and highly complex, is that the processes contain numerous variables operating under closed-loop control. Fully exploiting and utilizing the valuable information in these variables will benefit early and accurate fault detection and diagnosis of processes, minimizing downtime, increasing plant operational safety, and reducing manufacturing costs. The development of process monitoring technology is of great importance to ensure the operational safety, reliability, and economy of complex industrial processes. With the continuous development of industrial processes, the collection and use of process data are gradually increasing, and data-driven multivariate statistical process monitoring methods have developed significantly. A weighted k-nearest neighbor process monitoring method based on SPA is proposed for the problem of multimodal properties of process statistics. When the covariance difference between different modes is large, the multimodal characteristics of the original variable space are retained in the statistic feature space. By introducing weights and assigning weights to the distances between statistic samples, the proposed method can regulate the distances between statistic samples in modes with larger covariance and those with smaller covariance to the same scale, overcoming the limitations of the SPA-based process monitoring method in multimodal fault detection.
Synthesis of flower-like S-doped SnO2 hierarchical structure for gas sensing application at room temperature
Authors: Zhang Yunfan , Li Meihua , Gao Xiaodong , Gu Yunlong , Mou Chao , Ge Shikun 
Published: February 2023

Abstract
Ammonia is one of the most common gases in life, which is produced in industrial emissions and agricultural activities. Therefore, effective detection of ammonia at low concentrations is vital for human health. Tin disulfide (SnS2) by virtue of its physical affinity and high surface area has become a promising material for gas sensing applications. The flower-like S-doped SnO2 3D hierarchical structure was succeeded in preparation via a two-step method. A variety of methods such as XRD, SEM, and TEM were utilized to characterize the prepared materials for the investigation of their surface morphological characteristics and elemental content. The morphological characterization analysis indicated that the prepared material was a self-assembled hierarchical flower-like SnS2 modified by SnO2 nanoparticles. In addition, the results from the elemental composition analysis showed the existence of Sn, O, and S elements in the material. Through experiments, we further tested the sensitivity, selectivity, and long-term stability of the S-doped SnO2 gas-sensitive material against NH3 at room temperature, and analyzed its sensing mechanism. As a result, the S-doped SnO2 was tested with a response value of 3.6 for 50 ppm ammonia’s outstanding performance in terms of selectivity and long-term stability. This work highlights the advantages of flower-like S-doped SnO2 3D hierarchical structures for NH3 sensors.
A Real-time Solar Array Monitoring System Architecture Design Based on FBG
Authors: Wang Yan 
Published: February 2023

Abstract
The solar array is a key part of spacecraft, which is the main power supply. With the trend of spacecraft bus development, the size of the solar array panel attached to the spacecraft becomes larger and larger to provide more load power. Large scale, low stiffness, and flexibility affect the attitude control of the spacecraft directly. Monitoring and analyzing the solar array dynamics behavior will be the key part of the overall design of the spacecraft’s control system. The purpose of monitoring is to verify the dynamic modeling and health diagnosis for a typical spacecraft flexible solar array. In this paper, Fiber Bragg Grating transducers (FBGs) and PXI-E Bus technology are used to perform online monitoring of 3D shapes through the strain profile. Using NI DAQ hardware and the FPGA Module to implement a DAQ system that can real-time and accurately perform online analysis and secondary processing of parameters from a system using NI LabVIEW software and RTOS to provide a complete, systematic solution to acquire data from FBGs. In this paper, the design of system architecture is described.
An Algorithm for Dynamic Identification of Low-Voltage Topology
Authors: Zhou Cheng , Dai Shenjian , Pan Zhicheng , Wu Hai , Chen Chen 
Published: February 2023

Abstract
The topology identification of the station area includes two types of household-transformation relationship and branch relationship identification. In this paper, the station area identification signal is sent in phases through the intelligent distribution transformer terminal deployed in the station area, and the branch identification slave installed in each branch line and the terminal identification slave installed in the meter box receive this identification signal to realize the household-transformation relationship and phase identification in the station area. At the same time, the terminal identification slave sends a branch current identification signal, and the branch station identification slave receives the branch identification signal so that the branch relationship can be recognized correctly. Through the identification of household-transformation relationships, phase sequence identification, and branch relationship identification, the correct dynamic topology diagram of the station area can be established.
Energy Meter Patch Resistance and Welding Spot Anomaly Detection Method Based on Machine Vision
Authors: Jiang Chao , Chen Shengze , Zhang Zhijing , Li Rui 
Published: February 2023

Abstract
Based on the problems, such as the difficulty of detecting and obtaining evidence of patch resistance replacement and welding spot anomaly in the current field of meter anomaly detection, a patch resistance and welding spot anomaly detection algorithm is proposed based on machine vision. The resistance anomaly detection algorithm combines the K-D tree and Ransac to complete the high-efficiency energy meter registration. It detects the suspected resistance abnormal area through the difference shadow method and then judges the resistance abnormal situation according to the resistance value recognized by the classification network. The welding spot anomaly detection algorithm enhances the feature of the image through saliency detection, then obtains the target information of the welding spot by segmentation, and finally determines the welding spot anomaly condition in combination with the connection domain analysis. Experimental results show that the precision of patch resistance anomaly of this method reaches 95.28%, and the detection time is about 1.52s; the precision of welding spot anomaly reaches 96.74%, and the detection time is about 0.74s. The method can meet the requirements of spot detection accuracy and speed and has good application value.
Dynamic criticality for infrastructure prioritization in complex environments
Authors: Hoff Ryan , Helmrich Alysha , Dirks Abbie , Kim Yeowon , Li Rui , Chester Mikhail 
Published: February 2023

Abstract
As infrastructure confront rapidly changing environments, there is an immediate need to provide the flexibility to pivot resources and how infrastructures are prioritized. Yet infrastructures are often categorized based on static criticality framings. We describe dynamic criticality as the flexibility to reprioritize infrastructure resources during disturbances. We find that the most important prerequisite for dynamic criticality is organizational adaptive capacity characterized by flexible goals, structures, sensemaking, and strategies. Dynamic capabilities are increasingly important in the Anthropocene, where accelerating conditions, uncertainty, and growing complexity are challenging infrastructures. We review sectors that deployed dynamic management approaches amidst changing disturbances: leadership and organizational change, defense, medicine, manufacturing, and disaster response. We use an inductive thematic analysis to identify key themes and competencies and analyze capabilities that describe dynamic criticality. These competencies drive adaptive capacity and open up the flexibility to pivot what is deemed critical, depending on the particulars of the hazard. We map these competencies to infrastructure systems and describe how infrastructure organizations may build adaptive capacity toward flexible priorities.
Molecular Landscape and Association With Crohn Disease of Poorly Cohesive Carcinomas of the Nonampullary Small Bowel
Authors: Tedaldi Gianluca , Guerini Camilla , Angeli Davide , Furlan Daniela , Libera Laura , Lenti Marco Vincenzo , Grillo Federica , Fassan Matteo , Solcia Enrico , Sessa Fausto , Paulli Marco , Di Sabatino Antonio , Ulivi Paola , Vanoli Alessandro 
Published: February 2023

AbstractObjectivesPoorly cohesive carcinomas (PCCs) are neoplasms defined by a predominantly dyshesive growth pattern with single cell or cord-like stromal infiltration. The ­distinctive clinicopathologic and prognostic features of small bowel PCCs (SB-PCCs) in comparison with conventional-type small intestinal adenocarcinomas have only recently been characterized. However, as SB-PCCs’ genetic profile is still unknown, we aimed to analyze the molecular landscape of SB-PCCs.MethodsA next-generation sequencing analysis through Trusight Oncology 500 on a series of 15 nonampullary SB-PCCs was performed.ResultsThe most frequently found gene alterations were TP53 (53%) and RHOA (13%) mutations and KRAS amplification (13%), whereas KRAS, BRAF, and PIK3CA mutations were not identified. Most SB-PCCs (80%) were associated with Crohn disease, including both RHOA-mutated SB-PCCs, which featured a non-SRC-type histology, and showed a peculiar appendiceal-type, low-grade goblet cell adenocarcinoma (GCA)–like component. Rarely, SB-PCCs showed high microsatellite instability, mutations in IDH1 and ERBB2 genes, or FGFR2 amplification (one case each), which are established or promising therapeutic targets in such aggressive cancers.ConclusionsSB-PCCs may harbor RHOA mutations, which are reminiscent of the diffuse subtype of gastric cancers or appendiceal GCAs, while KRAS and PIK3CA mutations, commonly involved in colorectal and small bowel adenocarcinomas, are not typical of such cancers.
Benchmarking of microbiome detection tools on RNA-seq synthetic databases according to diverse conditions
Authors: Jurado-Rueda Francisco , Alonso-Guirado Lola , Perea-Chamblee Tomin E , Elliott Oliver T , Filip Ioan , Rabadán Raúl , Malats Núria 
Published: February 2023

Abstract

Motivation
Here, we performed a benchmarking analysis of five tools for microbe sequence detection using transcriptomics data (Kraken2, MetaPhlAn2, PathSeq, DRAC and Pandora). We built a synthetic database mimicking real-world structure with tuned conditions accounting for microbe species prevalence, base calling quality and sequence length. Sensitivity and positive predictive value (PPV) parameters, as well as computational requirements, were used for tool ranking.

Results
GATK PathSeq showed the highest sensitivity on average and across all scenarios considered. However, the main drawback of this tool was its slowness. Kraken2 was the fastest tool and displayed the second-best sensitivity, though with large variance depending on the species to be classified. There was no significant difference for the other three algorithms sensitivity. The sensitivity of MetaPhlAn2 and Pandora was affected by sequence number and DRAC by sequence quality and length. Results from this study support the use of Kraken2 for routine microbiome profiling based on its competitive sensitivity and runtime performance. Nonetheless, we strongly endorse to complement it by combining with MetaPhlAn2 for thorough taxonomic analyses.

Availability and implementation
https://github.com/fjuradorueda/MIME/ and https://github.com/lola4/DRAC/.

Supplementary information
Supplementary data are available at Bioinformatics Advances online.
Compensatory mechanisms in response to induced hypothyroidism in the late gestation pig fetus
Authors: Ison Erin K , Kent-Dennis Coral E , Fazioli James , Mulligan Margaret K , Pham Audrey , Pasternak J Alex 
Published: February 2023

Abstract
To understand the effect of fetal thyroid gland disruption on development in swine, we evaluated thyroid hormone levels, growth and developmental characteristics, and gene expression associated with thyroid hormone metabolism in late gestation fetuses exposed to methimazole (MMI). Pregnant gilts were given either oral MMI or equivalent sham from gestation day 85–106 (n = 4/group), followed by intensive phenotyping of all fetuses (n = 120). Samples of liver (LVR), kidney (KID), fetal placenta (PLC), and the corresponding maternal endometrium (END) were collected from a subset of fetuses (n = 32). Fetuses exposed to MMI in utero were confirmed hypothyroid, with a significant increase in thyroid gland size, goitrous thyroid histology, and dramatically suppressed thyroid hormone in serum. In dams, no differences in temporal measurements of average daily gain, thyroid hormone, or rectal temperatures relative to controls suggests that MMI had little effect on maternal physiology. However, fetuses from MMI-treated gilts exhibited significant increases in body mass, girth, and vital organ weights, but no differences in crown-rump length or bone measurements suggesting non-allometric growth. The PLC and END showed a compensatory decrease in expression of inactivating deiodinase (DIO3). Similar compensatory gene expression was observed in fetal KID and LVR with a downregulation of all deiodinases (DIO1, DIO2, DIO3). Minor alterations in the expression of thyroid hormone transporters (SLC16A2 and SLC16A10) were observed in PLC, KID, and LVR. Collectively, MMI crosses the PLC of the late gestation pig, resulting in congenital hypothyroidism, alterations in fetal growth, and compensatory responses within the maternal fetal interface.
The Real-World Global Use of Patient-Reported Outcomes for the Care of Patients With Inflammatory Bowel Disease
Authors: Horrigan Jamie M , Louis Edouard , Spinelli Antonino , Travis Simon , Moum Bjorn , Salwen-Deremer Jessica , Halfvarson Jonas , Panaccione Remo , Dubinsky Marla C , Munkholm Pia , Siegel Corey A 
Published: February 2023

AbstractBackgroundMany patient-reported outcomes (PROs) have been developed for inflammatory bowel disease (IBD) without recommendations for clinical use. PROs differ from physician-reported disease activity indices; they assess patients’ perceptions of their symptoms, functional status, mental health, and quality of life, among other areas. We sought to investigate the current global use and barriers to using PROs in clinical practice for IBD.MethodsA cross-sectional survey was performed. An electronic questionnaire was sent to an international group of providers who care for patients with IBD.ResultsThere were 194 respondents, including adult/pediatric gastroenterologists, advanced practice providers, and colorectal surgeons from 5 continents. The majority (80%) use PROs in clinical practice, 65% frequently found value in routine use, and 50% frequently found PROs influenced management. Thirty-one different PROs for IBD were reportedly used. Barriers included not being familiar with PROs, not knowing how to incorporate PRO results into clinical practice, lack of electronic medical record integration, and time constraints. Most (91%) agreed it would be beneficial to have an accepted set of consistently used PROs. The majority (60%) thought that there should be some cultural differences in PROs used globally but that PROs for IBD should be consistent around the world.ConclusionsPROs are used frequently in clinical practice with wide variation in which are used and how they influence management. Education about PROs and how to use and interpret an accepted set of PROs would decrease barriers for use and allow for global harmonization.
City Leagues, Mercenary Companies, and Regional Recruitment in Late Medieval Tuscany
Authors: Martoccio Michael Paul 
Published: February 2023

Abstract
This article discusses the anti-mercenary city-leagues, or taglie, of Renaissance Tuscany. Anti-mercenary leagues were coalitions of cities tied together for protection against foreign companies of French, English, German, and Hungarian mercenaries. While these leagues flourished in the middle of the fourteenth century (1347–96) among the cities of Tuscany, taglie often failed militarily or collapsed after only a few months. Earlier scholarship has blamed these failures on military competition among Italian cities and an incipient culture of deception. By examining diplomatic correspondence, legal statutes and texts, and army musters, this article shows instead how the taglie were in fact corporate associations (societas) that provided not only military protection, but financial co-ordination, social control, and a common ideology of urban autonomy.
USDA Forest Service Timber Products Output Survey Item Nonresponse Analysis
Authors: Markowski-Lindsay Marla , Brandeis Consuelo , Butler Brett J 
Published: February 2023

AbstractThe Timber Products Output (TPO) survey is used to determine industrial uses of roundwood, reporting on volumes of roundwood received and residues generated by the primary forest industry by tree species and counties of harvest. This knowledge aids stakeholders in making informed decisions about available forest resources and/or harvest intensity. The widespread use of TPO estimates makes it important to understand the scale and scope of missing data in the survey. This first attempt analyzed respondent-level and question-level nonresponse (RLNR and QLNR, respectively) for Northern and Southern TPO regions, comparing response to mill profile questions (those providing general business information) to those related to mill activity (that related to wood processing information). The RLNR differed between regions, by question grouping, survey mode, and mill volume. The QLNR results for selected mill activity questions indicate that the Southern region generally has lower nonresponse than the Northern region. Parametric analysis of RLNR indicated survey mode was significant for both question groups in the Northern region whereas mill type was significant for mill activity questions in the Southern region. The QLNR parametric analysis indicated self-administered surveys in the Northern region were associated with higher nonresponse, and surveys completed by sawmills in the Southern region were associated with lower nonresponse.Study Implications: Analysis of survey item nonresponse in the national Timber Products Output survey provides analytic background needed to assess the accuracy and completeness of the survey data. Population estimates from the data are used to monitor roundwood production and make informed decisions about forest resources. Responses varied across specific questions, and regional differences appeared to be related to survey mode. Current survey design could be improved to allow for analysis of all survey questions and assessment of the quality of responses. For nonresponse adjustment methods to be comparable across regions, factors causing observed regional difference should first be addressed.
Characterization of a novelBacillus methylotrophicusphage BM-P1
Authors: Lv Ruirui , Xu Ming , Guo She , Yao Jingwei , Arbab Sakandar Hafiz , Guo Jing , Zhang Can , Chen Xia 
Published: February 2023

AbstractBacillus species have been widely used as probiotics in a number of food products. However, these are vulnerable to bacteriophage infections, which poses fermentation failure and eventually result in economic losses. Given this, we designed this study in which the bacteriophage of lysogenic Bacillus methylotrophicus, phage BM-P1, was induced successfully, and its biological characteristics and genome information were researched. The obtained results showed that phage BM-P1 belonged to Myoviridae family. The maximum number of infections for this phage was 10, with a burst size of 104.48±2.70 counts expressed per milliliter per infective center. Additionally, this phage was temperature- and pH-sensitive and divalent ions (Ca2+, Mg2+) and chloramphenicol did not have a significant influence on its adsorption capacity. Genomic analysis revealed that the genome size of phage BM-P1 was 153 087 bp with 41.94% GC content, including 258 coding sequences. Furthermore, 52 bacteriophages of Bacillus were classified into two clades by using phylogenetic analysis. Among them, phage BM-P1 with phage VB_BsuM-Goe3 and vB_BveM-Goe7 had the highest average nucleotide identity values, 95.23% and 95.28%, respectively. However, synteny analysis revealed transposition, deletion, and insertion in the genome of BM-P1. Considering this, it could be extrapolated that this phage is a new lysogenic phage. In conclusion, this study furthers the knowledge on the properties of B. methylotrophicus phages and provides seminal insights for designing effective antiphage strategies for fermentation industry.