bluuebunny/crossref_metadata_2025_split huggingface dataset:
HOPAV: Hybrid optimization‐oriented path planning for non‐connected and connected automated vehicles
Authors: Babu Ananda , Kavitha Tamizhselvan , de Prado Rocío Pérez , Parameshachari Bidare Divakarachari , Woźniak Marcin 
Published: April 2023

AbstractOver the past ten years, autonomous driving has garnered a great deal of interest from both the scientific community and business. Strong technological advancements have made automated driving more practical because human driving abilities seem limited in terms of driving experience, reaction time, and the effectiveness of real‐time decisions. The development of highly autonomous driving algorithms is inextricably tied to planning and changing a vehicle path that must be user‐acceptable, efficient, and collision‐free. Path planning for road vehicles is a difficult problem due to the high speed involved and the requirement to assure passenger safety. Here, a new path‐planning method is developed for both connected and disconnected automatic road vehicles on multilane highways. This paradigm states that the right phrases to describe the objectives of vehicle improvement, passenger comfort, prevention of vehicle‐to‐vehicle collisions and road deviations are included in the objective function. Hunger Games improved Archimedes optimization (HGE‐ARCO) is used to optimize the paths for achieving better‐planned outcomes. At the 100th penetration rate, the HGE‐ARCO scheme reached a top speed of about 99 km/h. The results shows unmistakably that the proposed HGE‐ARCO produces a time of 12.3021 s, which is less than other conventional methods.
Efficient physics‐based recurrent neural network model for radio wave propagation in tunnels at 2.4 GHz
Authors: Qin Hao , Huang Siyi , Zhang Xingqi 
Published: April 2023

AbstractThe vector parabolic equation (VPE) method has been widely applied to the modelling of radio wave propagation in tunnel environments. However, dense spatial discretizations are generally required for VPE simulations to achieve acceptable accuracy. This results in high computational costs for large‐size tunnels and high‐frequency wireless systems. This letter presents an efficient physics‐based recurrent neural network (RNN) model for modeling radio wave propagation in tunnels. The proposed RNN‐based model can leverage coarse‐mesh VPE to generate high‐fidelity received signal strength and achieve significant computational savings. The validity of the proposed approach is demonstrated against fine‐mesh VPE simulations in various tunnel cases.
Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network
Authors: Sun Jie 
Published: April 2023

AbstractCardiac disease has become a severe threat to public health according to the government report. In China, there are 0.29 billion cardiac patients and early diagnosis will greatly reduce mortality and improve life quality. Electrocardiogram (ECG) signal is a priority tool in the diagnosis of heart diseases because it is non‐invasive and easily available with a simple diagnostic tool of low cost. The paper proposes an automatic classification model by combing convolutional neural network (CNN) and recurrent neural network (RNN) to distinguish different types of cardiac arrhythmias. Morphology features of the raw ECG signals are extracted by CNN blocks and fed into a bidirectional gated recurrent unit (GRU) network. Attention mechanism is used to highlight specific features of the input sequence and contribute to the performance improvement of classification. The model is evaluated with two datasets considering the class imbalance problem constructed with records from MIT‐BIH arrhythmia database and China Physiological Signal Challenge 2018 database. Experimental results show that this model achieves good performance with an average F1 score of 0.9110 on public dataset and 0.9082 on subject‐specific dataset, which may have potential practical applications.
Improving voltage imbalance in inverter‐based islanded microgrids during line‐to‐line short circuits
Authors: Castilla Miguel , Miret Jaume , de Vicuña Luis García , Borrell Ángel , Alfaro Carlos 
Published: April 2023

AbstractLine‐to‐line short circuits are the transient disturbances that cause the highest currents as well as the largest voltage imbalances in inverter‐based microgrids. This paper presents a control scheme for grid‐forming inverters in islanded microgrids that limits the current to a safe value during these types of short circuits while providing a lower voltage imbalance compared to state‐of‐the‐art current limiting techniques. This control scheme is based on reducing both the amplitude of the reference voltage with the maximum amplitude of the reference current and the instantaneous reference voltage with only the inductive component of the virtual impedance. The combination of these two control actions provides low voltage imbalance, as the theoretical and experimental studies reveal. This voltage imbalance improvement is the main contribution of this paper and is maintained when the microgrid supplies linear and non‐linear loads. In the theoretical study, the paper includes control design guidelines to satisfy static and dynamic specifications. The theoretical predictions are validated by means of experimental results measured in a laboratory microgrid. A practical performance comparison of current limiting techniques based on experimental tests is also reported.
Concurrent frequency–voltage stabilization for hybrid microgrid with virtual inertia support
Authors: Latif Abdul , Suhail Hussain S. M. , Iqbal Atif , Das Dulal Chandra , Ustun Taha Selim , Al‐Durra Ahmed 
Published: April 2023

AbstractThis paper presents a novel control scheme for combined frequency and voltage stabilization of an islanded multi‐generator hybrid microgrid (IHμG). The control concept incorporates an improved virtual inertia support scheme (IVIS) and the recently developed yellow saddle goatfish technique (YSGA) to obtain optimal control parameters. IHμG model consists of an AVR‐based voltage compensating loop for synchronous biodiesel generator, wind generator, wave generator, photon exchange membrane fuel cell (PEMFC), and controllable heat pump and freezer. An integer order proportional‐integral‐derivative (IOPID) controller is leveraged for frequency‐voltage stabilization. A comparative response assessment has been performed with/without IVIS. The utilization of YSGA has been justified by comparative assessment with particle swarm optimization, firefly, and sine‐cosine techniques. A meticulous performance evaluation of YSGA optimized IOPID control scheme in the IHμG has been conducted through several case studies. Furthermore, the rigorous sturdiness assessment of YSGA optimized IOPID controller was performed under different uncertainties such as: variation of amplifier gain, ±30% variation in demanded loading magnitude, moment of inertia and droop co‐efficient. Finally, real‐time hardware‐in‐the‐loop (HIL) simulation platform is utilized to validate the proposed control approach.
Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern
Authors: Al Soufy Khaled A. M. , Nashwan Farhan M. A. , Al‐Kamali Faisal S. , Al‐aroomi Salah Abdulhafedh 
Published: April 2023

AbstractMassive multiple‐input multiple‐output (MIMO) is a critical component of 5G cellular networks, which utilizes large numbers of antennas at both the transmitter and receiver to enhance throughput and radiated energy efficiency. Various linear detection techniques are employed with massive MIMO to counteract path loss and interference, and maximize throughput. The first aim of this paper is to analyse the performance of uplink massive MIMO system for different linear detection techniques including: Maximum ratio combining (MRC), zero‐forcing (ZF), regularized ZF (RZF) and minimum mean squared error (MMSE) over Rayleigh channel model. The second aim is to jointly investigate the optimal values of signal‐to‐noise ratio (SNR), the number of antennas M and the number of users K for maximizing the spectral efficiency (SE) and energy efficiency (EE) through simulation using MATLAB and 3D plotting patterns. The obtained results show that the best SE and EE are achieved by uplink massive MIMO setup while using optimal values of SNR, M and K. It is observed that MMSE achieved the best performance. However, it requires estimation of average SNR at BS. Therefore, the best choice is ZF or RZF without any need for SNR estimation.
Stage IV Colorectal Cancer at Initial Presentation versus Progression during and after Treatment, Differences in Management: Management Differences for Initial Presentation versus Progression of Disease after Initial Treatment
Authors: Monahan Brian V. , Patel Takshaka , Poggio Juan Lucas 
Published: April 2023

AbstractStage IV colorectal cancer is a prevalent disease and understanding the appropriate treatment options is important. Medical oncologic treatment remains the mainstay of treatment in cases where curative resection is not possible. Surgical intervention is indicated if the primary tumor and associated metastases are amenable to curative resection or if obstructive, bleeding, or perforative complications arise from the tumor. New endoscopic techniques can provide palliation and benefit for patients who cannot undergo surgery and may speed time to chemotherapy initiation. Recently, immunotherapy has shown promise at managing, controlling, and regressing advanced disease, in some cases converting it to curative with resection. For patients that progress while on treatment, continued medical therapy remains the mainstay of treatment. Further research into the benefits of asymptomatic primary tumor resection without curative intent needs to be performed. Colorectal cancer, and more specifically metastatic colorectal cancer, continues to have improved 1- and 5-year survival rates and likely will continue to do so over the coming months and years.
Impact of Molecular Status on Cytoreductive Surgery for Peritoneal Metastases from Colorectal Cancer
Authors: Zhong Yun , Yang Keli , Qin Xiusen , Luo Rui , Wang Hui 
Published: April 2023

AbstractColorectal cancer peritoneal metastases (CRC-PM) are present in 5 to 15% of instances of CRC, and the overall survival (OS) of patients with CRC-PM is much lower than that of patients with other isolated metastatic locations. In recent years, the introduction of cytoreductive surgery (CRS) in conjunction with hyperthermic intraperitoneal chemotherapy has resulted in a significant improvement in CRC-PM patients' OS. Despite this, a significant proportion of CRS patients continue to suffer complications of grades III to V or even die during the perioperative period. Early diagnosis, optimization of patient selection criteria, and refining of individualized combination therapy are necessary for these patients. In this review, we evaluate studies examining the relationship between molecular status and CRS in CRC-PM. Our objective is to gain a comprehensive understanding of how the altered molecular status of CRC-PM impacts CRS, which could increase the likelihood of tailored therapy in the future.
Organ Preservation in MSS Rectal Cancer
Authors: Gao Yuye , Wu Aiwen 
Published: April 2023

AbstractRectal cancer is a heterogeneous disease with complex genetic and molecular subtypes. Emerging progress of neoadjuvant therapy has led to increased pathological and clinical complete response (cCR) rates for microsatellite stable (MSS) rectal cancer, which responds poorly to immune checkpoint inhibitor alone. As a result, organ preservation of MSS rectal cancer as an alternative to radical surgery has gradually become a feasible option. For patients with cCR or near-cCR after neoadjuvant treatment, organ preservation can be implemented safely with less morbidity. Patient selection can be done either before the neoadjuvant treatment for higher probability or after with careful assessment for a favorable outcome. Those patients who achieved a good clinical response are managed with nonoperative management, organ preservation surgery, or radiation therapy alone followed by strict surveillance. The oncological outcomes of patients with careful selection and organ preservation seem to be noninferior compared with those of radical surgery, with lower postoperative morbidity. However, more studies should be done to seek better regression of tumor and maximize the possibility of organ preservation in MSS rectal cancer.
Review of Advances on Management of Chronic Thromboembolic Pulmonary Hypertension
Authors: Tyagi Sanjay , Batra Vishal , Gautam Ankur 
Published: April 2023

AbstractChronic thromboembolic pulmonary hypertension is rare, underdiagnosed form of pulmonary hypertension. It is caused by intravascular obstruction of pulmonary arteries due to fibrotic transformation of thromboembolic material and microvasculopathy. It is important to diagnose this variant as potentially curative treatment in the form of pulmonary endarterectomy is available. Last two decades have seen rapid advances in targeted medical management and refinement in balloon pulmonary angioplasty technique, which have provided a viable therapeutic option for patients who deemed to be inoperable.
Improving accuracy and stability of genetic predictions for dairy cow survival
Authors: Khansefid M. , Pryce J. E. , Shahinfar S. , Axford M. , Goddard M. E. , Haile-Mariam M. 
Published: April 2023

Context Cow survival is an important trait for dairy farm profitability and animal welfare, yet it is difficult to improve because of its complexity arising, in part, from varied reasons for culling and delay in getting actual culling data, which leads to low accuracy and instability of genetic predictions. Aims To explore the benefits of partitioning the cow survival trait into ‘early survival’ (survival coded as a binary trait from the first to the second lactation) and ‘late survival’ (survival from the second to later lactations) on genetic predictions in addition to predictors of culling decisions. Methods The raw phenotypic survival records for 1 619 542 Holstein and 331 996 Jersey cows were used in our study. All cows within each herd were allocated to either a reference or validation set. The accuracy and stability of genetic predictions were compared across lactations in the validation set. Further, we estimated the phenotypic and genetic correlation between overall, early or late cow survival and production, type, workability, and fertility traits using bivariate sire models. Key results The heritability of overall survival in Jerseys (0.069 ± 0.003) was higher than in Holsteins (0.044 ± 0.001). The heritability of early survival was higher than that of late survival in Holstein (0.039 ± 0.002 vs 0.036 ± 0.001) and Jersey (0.080 ± 0.006 vs 0.053 ± 0.003). The genetic correlation between early and late survival was high in both breeds (0.770 ± 0.017 in Holstein and 0.772 ± 0.028 in Jersey). Adding survival information up to the sixth lactation had a large effect on genetic predictions of overall and late survival, whereas the predictions of early survival remained the same across lactations. Milk and protein yields, somatic cell score, fertility and temperament were highly correlated with early survival in Holstein and Jersey. However, the genetic correlations between production, type or workability traits and late survival were generally weaker than those and early survival. Conclusions Early and late survival should be considered as different traits in genetic evaluations, because they are associated with different culling decisions. Implications Partitioning cow survival into early and late survival and analysing them as two correlated traits could improve the accuracy and the stability of estimated breeding values compared with analysing overall survival as a single trait.
Preprint Highlight: Cohesin mediates DNA loop extrusion and sister chromatid cohesion by distinct mechanisms
Authors: Subramanian Vijayalakshmi V. 
Published: April 2023

Cohesins organize chromatin within the nucleus by promoting loop extrusion via cis contacts on chromatin and sister chromatid cohesion via trans contacts between chromatids. Whether cohesins employ a distinct mechanism for these two functions is not known. The authors use a carefully designed conditional expression of cohesin, mutated at its hinge domain, and assess its function with a variety of in vitro and in vivo experiments including live TIRF imaging, loop extrusion assay, Hi-C, and calibrated ChIP sequencing. A mutation in the hinge domain separates the two functions of cohesin, as the mutant supports loop extrusion but not sister chromatid cohesion. A unique mechanism of cohesins in promoting loop extrusion has implications for their distinct role in genome organization and for transcriptional regulation and cell fate determination. This study will be of broad interest to genome biologists with respect to these phenomena. This preprint has been assigned the following badges: New Hypothesis, New Materials. Read the preprint on bioRxiv ( Nagasaka et al., 2022 ): https://doi.org/10.1101/2022.09.23.509019 .
Preprint Highlight: Learning orientation-invariant representations enables accurate and robust morphologic profiling of cells and organelles
Authors: Zaritsky Assaf 
Published: April 2023

One application of deep learning in analysis of cell biological microscopy data is developing meaningful quantitative representations of cellular and/or molecular phenotypic signatures. Because image orientation has no relevance for shape and morphology, encoding orientation within such representations confounds downstream analyses. This study presents O2-VAE, a neural method for learning orientation-invariant, image-based shape representations. The authors demonstrate that O2-VAE is not sensitive to image orientation for applications of cell/organelle shape phenotyping. Specifically, O2-VAE was verified on diverse experimental systems, ranging from simulations to human induced pluripotent stem cells, for downstream analyses that include clustering, dimensionality reduction, and/or outlier detection. This article opens the door for design and evaluation of orientation-invariant representations that may enable more effective deep learning–driven phenotyping. This preprint has been assigned the following badges: New Methods, Open Software, Cross-Validation. Read the preprint on bioRxiv ( Burgess et al., 2022 ): https://doi.org/10.1101/2022.12.08.519671 .
Leveraging Ecological Momentary Assessment to Examine Bi-directional Associations Between Sleep Quality, Adolescent/Young Adult Alcohol Craving and Use
Authors: Pielech Melissa , Meisel Samuel , Berey Benjamin L , Goodyear Kimberly , Treloar Padovano Hayley , Miranda Robert 
Published: April 2023

Abstract

Background
Alcohol use is common among adolescents and young adults (AYA) and linked to poor sleep quality. Poor sleep quality may also increase alcohol use and alcohol craving, yet bi-directional relations between sleep quality and AYA alcohol use are poorly understood.

Purpose
This study examined bi-directional associations between sleep quality, alcohol craving, and alcohol use in AYA using ecological momentary assessment (EMA) and explored if biological sex, age, or race moderated these associations.

Methods
This pre-registered secondary analysis pooled EMA data from the baseline, pre-randomization period (M = 8.18 days, range = 1–17) in two double-blind randomized placebo-controlled clinical trials examining medication effects on alcohol use in AYA (N = 115). Each morning, participants reported sleep quality and alcohol consumption (i.e., number of standard drinks) from the previous day, and craving was rated at several random points each day.

Results
Multilevel modeling showed that poorer average sleep quality was associated with higher levels of alcohol craving for females but not for males, and better overall levels of sleep quality were associated with decreased likelihood of engaging in alcohol use. No other person- or day-level associations between sleep and alcohol use emerged.

Conclusions
Better sleep quality may be protective against alcohol use in AYA, and female AYA who report poorer sleep quality may experience higher levels of alcohol craving. Research and clinical assessment of AYA sleep quality can contribute to understanding of factors promoting alcohol craving and use.
Weight Discrimination and Health Risk Behavior in Racial, Ethnic, and Sexual Minority Adults
Authors: Gerend Mary A , Zetrenne Schemide , Sutin Angelina R , Naar Sylvie , Maner Jon K 
Published: April 2023

Abstract

Background
People with obesity face significant discrimination due to their weight. Exposure to such discrimination is associated with poor health outcomes. Little is known about pathways that explain that association, and even less is known about those pathways in racial, ethnic, and sexual minorities. Health risk behaviors may serve as one such pathway.

Purpose
We examined associations between weight discrimination and health risk behaviors and assessed whether associations are moderated by gender, race, ethnicity, or sexual orientation.

Methods
Quota sampling was used to oversample Black (36%), Latino (36%), and sexual minority (29%) adults (n = 2,632) who completed an online survey. Using regression analysis, health risk behaviors (maladaptive eating behaviors, physical inactivity, sitting, smoking, alcohol use, and sleep disturbance) were predicted from previous experience with weight discrimination while controlling for demographic characteristics, BMI, and depressive symptoms. Additional analyses tested for interactions between weight discrimination and key demographic variables (i.e., gender, race, ethnicity, and sexual minority status).

Results
Weight discrimination was associated with greater emotional eating, binge eating, unhealthy weight control behaviors, cigarette smoking, problematic alcohol use, and sleep disturbance. Gender moderated the association between weight discrimination and binge eating, alcohol use, and physical activity, with stronger effects observed in men than women. Exploratory analyses provided limited evidence for differential effects of weight discrimination across specific combinations of intersecting identities.

Conclusions
Weight discrimination was associated with engagement in unhealthy behaviors and relationships were largely similar across diverse demographic groups. Health risk behaviors may represent a key pathway through which weight discrimination harms health.