bluuebunny/crossref_metadata_2025_split huggingface dataset:
A High Performance I/Q Zero-IF Mixer with IIP2 Calibration Technique in 45nm SOI CMOS
Authors: Li Jiayi , Wang Xinghua , Liu Zicheng , Ren Shiwei , Li Xiaoran 
Published: October 2023

Abstract
This paper presents a high performance I/Q zero intermediate frequency (IF) mixer with a second-order input intermodulation point (IIP2) calibration technique in 45nm SOI CMOS process. A behavioral model of the mixer is established to analyze the sources of the second-order intermodulation distortion (IMD2). Based on the analysis, a high accuracy load resistance modulation array is applied to achieve excellent IIP2 performance. The frequency of the local oscillator (LO) signal is 3.5GHz, while the RF input signal frequency range is 3.4GHz∼3.6GHz. Simulation results show that the proposed zero-IF mixer achieves a conversion gain of more than 9.2dB with the input 1dB compression point of -11.28dBm. Noise figure is about 16.9dB at 10kHz and lower than 11.6dB at the frequency above 1MHz. The IIP2 of the circuit is larger than 66dBm after the calibration, which increases more than 40dBm.
Prediction of ship trajectory based on deep learning
Authors: Li T , Li Y B 
Published: October 2023

Abstract
The rapid development of computer technology strongly promotes the study of maritime traffic safety. The application of artificial intelligence technology makes the ship’s trajectory prediction not limited to complex physical models, and improves the generality of ship’s track prediction. To address the problems of relatively poor prediction accuracy in existing ship trajectory prediction research and high coupling of algorithms during ship navigation while the prediction model needs to be improved, this paper combines grey forecast prediction model and long and short-term memory (LSTM) neural network to establish a neural network model for ship trajectory prediction. This model can effectively increase the number of messages in LSTM model, and reduce the loss value of the model and improve the accuracy of ship track prediction. The prediction method in this paper is verified by AIS data of a ship. The results show that compared with other time series prediction algorithms, this algorithm has higher prediction accuracy.
Satellite Return Link Resource Allocation Strategy Based on DVB-RCS2
Authors: Wang Yawen , Wu Chonghao , Ren Mingming , Zhou Yanan , Huang Cao , Luo Feiteng 
Published: October 2023

Abstract
This article improves the priority of the request queue packets for the Return Channel Satellite Terminal (RCST) of the Geosynchronous Earth Orbit (GEO) satellite system. It designs an inverted numbered slot tree resource allocation algorithm based on the Request Queue Maximum Weighted Delay Priority Algorithm (RQM-LWDF) in conjunction with existing slot allocation algorithms. It builds a simulation model of the DVB-RCS2 return link using the satellite communication module (SNS3) on the NS3 (Network Simulator 3) software simulation platform. It studies the throughput, packet loss rate, and delay performance of the algorithm under specific conditions and evaluates the algorithm.
A method for cross-correlation interference suppression of echo signal from external radiation source
Authors: Chen Sirui , Shang She 
Published: October 2023

Abstract
The features of the external radiation source radar result in the target echo power often being relatively low, and for the echo signal, the cross-correlation interference of the direct satellite signal causes the target echo to be undetected. This paper proposes a Q-way coherent-noncoherent accumulation method to suppress the inter-correlation interference from the radiation source direct signal without reconstructing all the direct signal eliminations, greatly reducing the amount of computation, for the suppression of inter-correlation interference and the correct detection of echoes provides a new idea.
Analysis and countermeasures of drilling challenges in complex ultra-deep exploration wells in thrust structural belt with multiple salt layers
Authors: Zhang Wei , Zhou Tuo , Jin Yulai , Xiao Yue , Li Hangyuan , Baletabieke Bahedaer , Gu Yixin 
Published: October 2023

Abstract
The deep and ultra-deep zones of Bokhtar oilfield in Tajikistan are the critical blocks for future exploration and development, which are imbedded between two salt layers, accompany with four reservoir and cap assemblages of middle and upper Jurassic, Lower Cretaceous, Upper Cretaceous and Paleogene. The reservoir and cap assemblages of pre-salt carbonate and salt-gypsum cap have great potential. The complicated geological structure, uncertain formation and non-developed pre-salt formations made the critical challenges for drilling operation, including: (1) The difficult casing program design caused by peripheral compression and thrust of the basin, the complicated geological structure, the large geological difference above and below the salt layer, the unfaithful prediction of multiple sets of salt layer, great formation pressure uncertainty, and many sealing points; (2) The upper salt formations are featured by developed thrust belt and large dip angle, the contradiction between deviation prevention and drilling acceleration in high steep structure is prominent, and the wellbore quality is difficult to control; (3) Due to the mud loss in upper salt layer, loss coexisted with blow out in the salt layer and inaccurate prediction of salt bottom, the drilling complexes such as mud loss, overflow and well collapse are occurred frequently; (4) Ultra-deep well depth (over 7000m), HTHP (180°C,140MPa), multiple salt layers and long open hole section made high requirements on high temperature resistance of drilling fluid, cementing slurry and downhole tools, as well as high drilling risk and cost. It is necessary to carry out the drilling difficulties investigation of ultra-deep exploration well under the consideration of pertinence, safety, applicability and economy, then formed the suitable drilling engineering plan for Bokhtar Block through the optimization of domestic and foreign advanced and mature deep and ultra-deep well technologies, which is used to provide the technical support for the first pre-salt ultra-deep exploration well in this Block to be drilled successfully.
Feasibility study on short radius sidetracking technology of old well in Hoja Gulluk Gas Field - A case study of H-1 well
Authors: Li Hangyuan , Zhou Tuo , Jin Yulai , Zhou Haiqiu , Xiao Yue , Gu Yixin , Baletabieke Bahedaer 
Published: October 2023

Abstract
The Hojaguruk block is located in the central and eastern region of the Amu Darya River. The reservoir is a hard carbonate reservoir with abnormally high pressure formation, which makes well control difficult. The reservoir is covered with a thick salt paste layer, and it is difficult to drill directional well in the salt paste layer. As the central and eastern parts of the right bank of the Amu Darya River enter the late stage of development, the production capacity of old lying Wells is insufficient and the reservoir energy power is reduced. Therefore, it is urgent to transform old Wells with short radius sidetracking drilling technology and revive lying Wells to improve the production of single well and achieve the goal of stable production and increase production. Based on a comprehensive analysis of the geological characteristics, development situation and technical difficulties of short radius sidetracking in the area where well H-1 is located, this paper analyzes and demonstrates the determination of the cutting point of sidetracking technology, the optimization of the well trajectory design scheme and the analysis and demonstration of the ultra-short radius sidetracking technology, and considers all factors comprehensively to study and determine that the ultra-short radius sidetracking technology is suitable for this well condition. It can meet the requirements of reservoir development design. It is suggested to carry out the key test of the ultra-short radius sidetracking technology, and promote the application in the developed blocks in the central and eastern part of the Amu Darya Project, so as to provide research ideas and directions for tapping the potential operations in other blocks.
Temporal trends in sociodemographic composition and land development within U.S. fenceline communities surrounding hazardous industrial facilities: 2001–2019
Authors: Southerland Veronica , Zota Ami R , Parasram Vidisha , Alvarez Camila , Clement Matthew , Anenberg Susan 
Published: October 2023

Abstract
Unintended releases from industrial facilities can expose fenceline communities to hazardous substances, and distance between facilities and nearby residential development can play a role in preventing exposures. Here, we assess trends in fenceline community sociodemographic characteristics, land development, and the association between the two using sociodemographic data for census tracts (n = 34 068) surrounding 2457 petroleum refining and chemical manufacturing facilities between 2001 and 2019. We find a higher median growth in percentage of Latinx populations among fenceline communities compared to neighboring communities with no industrial facilities. The increase in the median percentage of Latinx populations within fenceline communities was six times higher than for White populations overall (+6 and +1 percentage points, respectively). Though the percentage of the Black populations did not change within fenceline communities over this period, we find a minor sustained higher percentage of Black residents within fenceline communities relative to neighboring communities (20% versus 19%, respectively). Employing a spatial autoregressive model with autoregressive disturbances, we find that an increase in community percentage Latinx population is associated with a decrease in the rate of land development. Comparing fenceline and neighboring communities, we conclude that Black and Latinx populations are disproportionately located near industrial facilities, potentially contributing to inequitable exposure to unintended chemical releases. Our work lends support to the value of considering of sociodemographic composition of fenceline communities when evaluating industrial facility hazards.
Insight into the Eyring–Powell fluid flow model using degenerate operator: geometric perturbation
Authors: ur Rahman Saeed , Luis Díaz Palencia José 
Published: October 2023

Abstract
This work provides a formulation of a fluid flow under a nonlinear diffusion based on a viscosity of Eyring–Powell type along with a degenerate semi-parabolic operator. The introduction of such a degenerate operator is significant as it allows us to explore a further general model not previously considered in the literature. Our aims are hence to provide analytical insights and numerical assessments to the mentioned flow model: firstly, some results are provided in connection with the regularity and uniqueness of weak solutions. The problem is converted into the travelling wave domain where solutions are obtained within an asymptotic expansion supported by the geometric perturbation theory. Finally, a numerical process is considered as the basis to ensure the validity of the analytical assessments presented. Such numerical process is performed for low Reynolds numbers given in classical porous media. As a main finding to highlight: we show that there exist exponential profiles of solutions for the velocity component. This result is not trivial for the non-linear viscosity terms considered.
Effect of sintering conditions on colossal dielectric properties of (Tb1/2Nb1/2)0.01Ti0.99O2ceramics
Authors: Thanamoon Noppakorn , Thongbai Prasit 
Published: October 2023

AbstractIn this study, we investigated various sintering temperatures (1200 °C−1450 °C) and durations (2–6 h) conditions for preparing (Tb1/2Nb1/2)0.01Ti0.99O2(TNTO) ceramics. By employing high sintering temperatures (≥1350 °C) and extended sintering durations (≥4 h), we successfully achieved ultra–high dielectric permittivity values (ε′ ∼ 2.2 − 4.1 × 104) and remarkably low loss tangent values (∼0.025−0.079). Remarkably, the temperature coefficient of the TNTO ceramic, sintered at 1350 °C, exhibited exceptional stability, maintaining a value of approximately 15% even at 200 °C. Additionally, we examined the phase structure and microstructure of the TNTO ceramics to gain insights into their colossal permittivity (CP) behavior. The analysis revealed the presence of rutile TiO2and TbNbTiO6phases, and the ceramics exhibited a high–density microstructure under high–temperature sintering conditions. The impedance spectroscopy analysis revealed that the primary contributor to the observed CP behavior was the interfacial polarization mechanism. The observed increase in theε′ value, correlated with the enlargement of the average grain size, can be attributed to the effect of the internal barrier layer capacitor. However, when the sintering time ≥4 h, the grain size did not significantly affect theε′ value, possibly due to reaching the maximum capacity of electron production for the interfacial polarization process (i.e., the maximum intensity of polarizability). This study provides valuable insights into optimizing the sintering conditions for TNTO ceramics and related compounds, laying the groundwork for the development of a new CP oxide suitable for practical applications.
Automated prediction of acute promyelocytic leukemia from flow cytometry data using a graph neural network pipeline
Authors: Cox Andrew M , Kim Daehwan , García Rolando , Fuda Franklin S , Weinberg Olga K , Chen Weina 
Published: October 2023

Abstract

Objectives
Our study aimed to develop a machine learning (ML) model to accurately classify acute promyelocytic leukemia (APL) from other types of acute myeloid leukemia (other AML) using multicolor flow cytometry (MFC) data. Multicolor flow cytometry is used to determine immunophenotypes that serve as disease signatures for diagnosis.

Methods
We used a data set of MFC files from 27 patients with APL and 41 patients with other AML, including those with uncommon immunophenotypes. Our ML pipeline involved training a graph neural network (GNN) to output graph-level labels and identifying the most crucial MFC parameters and cells for predictions using an input perturbation method.

Results
The top-performing GNN achieved 100% accuracy on the training/validation and test sets on classifying APL from other AML and used MFC parameters similarly to expert pathologists. Pipeline performance is amenable to use in a clinical decision support system, and our deep learning architecture readily enables prediction explanations.

Conclusions
Our ML pipeline shows robust performance on predicting APL and could be used to screen for APL using MFC data. It also allowed for intuitive interrogation of the model’s predictions by clinicians.
Understanding clinical implementation coordinators’ experiences in deploying evidence-based interventions
Authors: Hernandez Sara E , Solomon Demetrius , Moon Jukrin , Parmasad Vishala , Wiegmann Douglas , Bennett Nick T , Ferren Ryan S , Fitzsimmons Alec J , Lepak Alexander J , O’Horo John C , Pop-Vicas Aurora E , Schulz Lucas T , Safdar Nasia 
Published: October 2023

Abstract

Purpose
The fluoroquinolone restriction for the prevention of Clostridioides difficile infection (FIRST) trial is a multisite clinical study in which sites carry out a preauthorization process via electronic health record–based best-practice alert (BPA) to optimize the use of fluoroquinolone antibiotics in acute care settings. Our research team worked closely with clinical implementation coordinators to facilitate the dissemination and implementation of this evidence-based intervention. Clinical implementation coordinators within the antibiotic stewardship team (AST) played a pivotal role in the implementation process; however, considerable research is needed to further understand their role. In this study, we aimed to (1) describe the roles and responsibilities of clinical implementation coordinators within ASTs and (2) identify facilitators and barriers coordinators experienced within the implementation process.

Methods
We conducted a directed content analysis of semistructured interviews, implementation diaries, and check-in meetings utilizing the conceptual framework of middle managers’ roles in innovation implementation in healthcare from Urquhart et al.

Results
Clinical implementation coordinators performed a variety of roles vital to the implementation’s success, including gathering and compiling information for BPA design, preparing staff, organizing meetings, connecting relevant stakeholders, evaluating clinical efficacy, and participating in the innovation as clinicians. Coordinators identified organizational staffing models and COVID-19 interruptions as the main barriers. Facilitators included AST empowerment, positive relationships with staff and oversight/governance committees, and using diverse implementation strategies.

Conclusion
When implementing healthcare innovations, clinical implementation coordinators facilitated the implementation process through their roles and responsibilities and acted as strategic partners in improving the adoption and sustainability of a fluoroquinolone preauthorization protocol.
Using Laser-Assisted Indocyanine Green Angiography to Assess Nipple-Areolar Complex Survival During Reduction Mammoplasty
Authors: Li Haoran , Zhang Xiaoyu , Li Zhengyao , Lin Yan , Mu Dali 
Published: October 2023

Abstract

Background
In reduction mammoplasty, preserving an appropriate skin flap is crucial to achieve a favorable postoperative appearance and prevent blood supply disorders in the nipple-areolar complex (NAC). Previous studies have indicated that a thinner or narrower flap is more favorable for breast shaping, but also increases the risk of blood supply disorders. Accessing the blood perfusion of the NAC and determining the critical threshold for NAC viability are essential aspects of reduction mammoplasty.

Objectives
The aim of this study was to utilize indocyanine green (ICG) angiography to assess NAC perfusion during reduction mammoplasty. It also sought to identify critical thresholds of various indicators affecting NAC survival and provide guidance for skin flap trimming.

Methods
Thirty-eight patients who underwent reduction mammoplasty were included. Each patient received ICG angiography before and after skin flap trimming. Data on NAC perfusion, skin flap length, width, thickness, and other relevant indicators were collected.

Results
Among the patients, 5 experienced NAC blood supply disorders. Multiple linear regression analysis demonstrated that the NAC blood supply had a significant correlation with the tissue thickness at the pedicle base (P &lt; .001) and with the length-to-width ratio across the nipple (P &lt; .05). To optimize NAC survival and achieve favorable breast shaping, cutoff points for the thickness at the pedicle base and the length-to-width ratio across the nipple of 1.15 cm and 1.71, respectively, were established.

Conclusions
ICG angiography provides an effective means to assess NAC blood supply and postoperative survival. The cutoff points established in this study help to predict the survival of the NAC and guide flap trimming.

Level of Evidence: 3
GNorm2: an improved gene name recognition and normalization system
Authors: Wei Chih-Hsuan , Luo Ling , Islamaj Rezarta , Lai Po-Ting , Lu Zhiyong 
Published: October 2023

Abstract

Motivation
Gene name normalization is an important yet highly complex task in biomedical text mining research, as gene names can be highly ambiguous and may refer to different genes in different species or share similar names with other bioconcepts. This poses a challenge for accurately identifying and linking gene mentions to their corresponding entries in databases such as NCBI Gene or UniProt. While there has been a body of literature on the gene normalization task, few have addressed all of these challenges or make their solutions publicly available to the scientific community.

Results
Building on the success of GNormPlus, we have created GNorm2: a more advanced tool with optimized functions and improved performance. GNorm2 integrates a range of advanced deep learning-based methods, resulting in the highest levels of accuracy and efficiency for gene recognition and normalization to date. Our tool is freely available for download.

Availability and implementation
https://github.com/ncbi/GNorm2.
Hunting down zinc(II)-binding sites in proteins with distance matrices
Authors: Laveglia Vincenzo , Bazayeva Milana , Andreini Claudia , Rosato Antonio 
Published: October 2023

Abstract

Motivation
In recent years, high-throughput sequencing technologies have made available the genome sequences of a huge variety of organisms. However, the functional annotation of the encoded proteins often still relies on low-throughput and costly experimental studies. Bioinformatics approaches offer a promising alternative to accelerate this process. In this work, we focus on the binding of zinc(II) ions, which is needed for 5%–10% of any organism’s proteins to achieve their physiologically relevant form.

Results
To implement a predictor of zinc(II)-binding sites in the 3D structures of proteins, we used a neural network, followed by a filter of the network output against the local structure of all known sites. The latter was implemented as a function comparing the distance matrices of the Cα and Cβ atoms of the sites. We called the resulting tool Master of Metals (MOM). The structural models for the entire proteome of an organism generated by AlphaFold can be used as input to our tool in order to achieve annotation at the whole organism level within a few hours. To demonstrate this, we applied MOM to the yeast proteome, obtaining a precision of about 76%, based on data for homologous proteins.

Availability and implementation
Master of Metals has been implemented in Python and is available at https://github.com/cerm-cirmmp/Master-of-metals.
Metformin in elderly type 2 diabetes mellitus: dose-dependent dementia risk reduction
Authors: Sun Mingyang , Chen Wan-Ming , Wu Szu-Yuan , Zhang Jiaqiang 
Published: October 2023

Abstract
This study aimed to investigate the controversial association between metformin use and diabetes-associated dementia in elderly patients with type 2 diabetes mellitus (T2DM) and evaluate the potential protective effects of metformin, as well as its intensity of use and dose-dependency, against dementia in this population.
The study used a time-dependent Cox hazards model to evaluate the effect of metformin use on the incidence of dementia. The case group included elderly patients with T2DM (≥60 years old) who received metformin, while the control group consisted of elderly patients with T2DM who did not receive metformin during the follow-up period.
Our analysis revealed a significant reduction in the risk of dementia among elderly individuals using metformin, with an adjusted hazard ratio of 0.34 (95% confidence interval: 0.33 to 0.36). Notably, metformin users with a daily intensity of 1 defined daily dose (DDD) or higher had a lower risk of dementia, with an adjusted hazard ratio (95% confidence interval) of 0.46 (0.22 to 0.6), compared to those with a daily intensity of &lt;1 DDD. Additionally, the analysis of cumulative DDDs of metformin showed a dose-response relationship, with progressively lower adjusted hazard ratio across quartiles (0.15, 0.21, 0.28, and 0.53 for quartiles 4, 3, 2 and 1, respectively), compared to never metformin users (P for trend &lt; 0.0001).
Metformin use in elderly patients with T2DM is significantly associated with a substantial reduction in the risk of dementia. Notably, the protective effect of metformin demonstrates a dose-dependent relationship, with higher daily and cumulative dosages of metformin showing a greater risk reduction.