bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensor fault reconstruction for wind turbine benchmark model using a modified sliding mode observer
Authors: Taouil Mohammed , El Ougli Abdelghani , Tidhaf Belkassem , Zrouri Hafida 
Published: June 2023

<p><span lang="EN-GB">This paper proposes a fault diagnosis scheme applied to a wind turbine system. The technique used is based on a modified sliding mode observer (SMO), which permits the reconstruction of actuator and sensor faults. A wind turbine benchmark with a real sequence of wind speed is exploited to validate the proposed fault detection and diagnosis scheme. Rotor speed, generator speed, blade pitch angle, and generator torque have different orders of magnitude. As a result, the dedicated sensors are susceptible to faults of quite varying magnitudes, and estimating simultaneous sensor faults with accuracy using a classical SMO is difficult. To address this issue, some modifications are made to the classic SMO. In order to test the efficiency of the modified SMO, several sensor fault scenarios have been simulated, first in the case of separate faults and then in the case of simultaneous faults. The simulation results show that the sensor faults are isolated, detected, and reconstructed accurately in the case of separate faults. In the case of simultaneous faults, with the proposed modification of SMO, the faults are precisely isolated, detected, and reconstructed, even though they have quite different amplitudes; thus, the relative gap does not exceed 0.08% for the generator speed sensor fault.</span></p>
Factors affecting students’ continuance intention to use teaching performance assessment application from technology continuance theory
Authors: Nurdin Nurdin , Pettalongi Sagaf S , Ahsan Muhammad Nur , Febrianti Vindy Febrianti 
Published: June 2023

<p><span lang="EN-US">This study aims to determine university students’ continuance intention in using an android-based teaching performance assessment (TPA) application. For the data gathering instrument, we employed an online structured questionnaire. Two hundred and forty students from four faculties were selected and assigned a five-scale survey. All completed questionnaires were analyzed using analysis of moment structure (AMOS). The findings show that the factors of productivity, performance, relevancy, quality and mobility of the android-based TPA have significantly influenced students’ continuance intention to use the application. The results highlighted that when an android-based system was developed based on the criteria, the long-term use of the android-based TPA application can be consistently maintained to improve universities’ teaching quality assessment. However, our study needs to improve in that the university students may evaluate teaching staffs who are not teaching a subject in their class because all teaching staff has appeared in the application database. In addition, further research needs to limit each lecture based on a specific course to be assessed by a particular student’s class.</span></p>
Machine learning in drug supply chain management during disease outbreaks: a systematic review
Authors: Emmanuel Gunadi , Ramadhan Arief , Zarlis Muhammad , Abdurachman Edi , Trisetyarso Agung 
Published: June 2023

<span lang="EN-US">The drug supply chain is inherently complex. The challenge is not only the number of stakeholders and the supply chain from producers to users but also production and demand gaps. Downstream, drug demand is related to the type of disease outbreak. This study identifies the correlation between drug supply chain management and the use of predictive parameters in research on the spread of disease, especially with machine learning methods in the last five years. Using the Publish or Perish 8 application, there are 71 articles that meet the inclusion criteria and keyword search requirements according to Kitchenham's systematic review methodology. The findings can be grouped into three broad groupings of disease outbreaks, each of which uses machine learning algorithms to predict the spread of disease outbreaks. The use of parameters for prediction with machine learning has a correlation with drug supply management in the coronavirus disease case. The area of drug supply risk management has not been heavily involved in the prediction of disease outbreaks.</span>
IPv6 flood attack detection based on epsilon greedy optimized Q learning in single board computer
Authors: Daru April Firman , Hartomo Kristoko Dwi , Purnomo Hindriyanto Dwi 
Published: June 2023

<span lang="EN-US">Internet of things is a technology that allows communication between devices within a network. Since this technology depends on a network to communicate, the vulnerability of the exposed devices increased significantly. Furthermore, the use of internet protocol version 6 (IPv6) as the successor to internet protocol version 4 (IPv4) as a communication protocol constituted a significant problem for the network. Hence, this protocol was exploitable for flooding attacks in the IPv6 network. As a countermeasure against the flood, this study designed an IPv6 flood attack detection by using epsilon greedy optimized Q learning algorithm. According to the evaluation, the agent with epsilon 0.1 could reach 98% of accuracy and 11,550 rewards compared to the other agents. When compared to control models, the agent is also the most accurate compared to other algorithms followed by neural network (NN), K-nearest neighbors (KNN), decision tree (DT), naive Bayes (NB), and support vector machine (SVM). Besides that, the agent used more than 99% of a single central processing unit (CPU). Hence, the agent will not hinder internet of things (IoT) devices with multiple processors. Thus, we concluded that the proposed agent has high accuracy and feasibility in a single board computer (SBC).</span>
Channel and spatial attention mechanism for fashion image captioning
Authors: Nguyen Bao T. , Nguyen Son T. , Vo Anh H. 
Published: June 2023

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span lang="EN-US">Image captioning aims to automatically generate one or more description sentences for a given input image. Most of the existing captioning methods use encoder-decoder model which mainly focus on recognizing and capturing the relationship between objects appearing in the input image. However, when generating captions for fashion images, it is important to not only describe the items and their relationships, but also mention attribute features of clothes (shape, texture, style, fabric, and more). In this study, one novel model is proposed for fashion image captioning task which can capture not only the items and their relationship, but also their attribute features. Two different attention mechanisms (spatial-attention and channel-wise attention) is incorporated to the traditional encoder-decoder model, which dynamically interprets the caption sentence in multi-layer feature map in addition to the depth dimension of the feature map. We evaluate our proposed architecture on Fashion-Gen using three different metrics (CIDEr, ROUGE-L, and BLEU-1), and achieve the scores of 89.7, 50.6 and 45.6, respectively. Based on experiments, our proposed method shows significant performance improvement for the task of fashion-image captioning, and outperforms other state-of-the-art image captioning methods.</span></p></div></div></div>
Loss of Macrophage mTORC2 Drives Atherosclerosis via FoxO1 and IL-1β Signaling
Authors: Zhang Xiangyu , Evans Trent D. , Chen Sunny , Sergin Ismail , Stitham Jeremiah , Jeong Se-Jin , Rodriguez-Velez Astrid , Yeh Yu-Sheng , Park Arick , Jung In-Hyuk , Diwan Abhinav , Schilling Joel D. , Rom Oren , Yurdagul Arif , Epelman Slava , Cho Jaehyung , Lodhi Irfan J. , Mittendorfer Bettina , Razani Babak 
Published: June 2023

BACKGROUND:
The mTOR (mechanistic target of rapamycin) pathway is a complex signaling cascade that regulates cellular growth, proliferation, metabolism, and survival. Although activation of mTOR signaling has been linked to atherosclerosis, its direct role in lesion progression and in plaque macrophages remains poorly understood. We previously demonstrated that mTORC1 (mTOR complex 1) activation promotes atherogenesis through inhibition of autophagy and increased apoptosis in macrophages.

METHODS:
Using macrophage-specific Rictor- and mTOR-deficient mice, we now dissect the distinct functions of mTORC2 pathways in atherogenesis.

RESULTS:
In contrast to the atheroprotective effect seen with blockade of macrophage mTORC1, macrophage-specific mTORC2-deficient mice exhibit an atherogenic phenotype, with larger, more complex lesions and increased cell death. In cultured macrophages, we show that mTORC2 signaling inhibits the FoxO1 (forkhead box protein O1) transcription factor, leading to suppression of proinflammatory pathways, especially the inflammasome/IL (interleukin)-1β response, a key mediator of vascular inflammation and atherosclerosis. In addition, administration of FoxO1 inhibitors efficiently rescued the proinflammatory response caused by mTORC2 deficiency both in vitro and in vivo. Interestingly, collective deletion of macrophage mTOR, which ablates mTORC1- and mTORC2-dependent pathways, leads to minimal change in plaque size or complexity, reflecting the balanced yet opposing roles of these signaling arms.

CONCLUSIONS:
Our data provide the first mechanistic details of macrophage mTOR signaling in atherosclerosis and suggest that therapeutic measures aimed at modulating mTOR need to account for its dichotomous functions.
Hyperglycemia, Ischemic Lesions, and Functional Outcomes After Intracerebral Hemorrhage
Authors: Lusk Jay B. , Covington Anna , Liu Li , Weikel Daniel P. , Li Yi‐Ju , Sekar Padmini , Demel Stacie L. , Aziz Yasmin N. , Kidwell Chelsea S. , Woo Daniel , James Michael L. 
Published: June 2023

Background
Ischemic lesions observed on diffusion‐weighted imaging (DWI) magnetic resonance imaging are associated with poor outcomes after intracerebral hemorrhage (ICH). We evaluated the association between hyperglycemia, ischemic lesions, and functional outcomes after ICH.

Methods and Results

This was a retrospective observational analysis of 1167 patients who received magnetic resonance imaging in the
ERICH
(Ethnic and Racial Variations in Intracerebral Hemorrhage) study. A machine learning strategy using the elastic net regularization and selection procedure was used to perform automated variable selection to identify final multivariable logistic regression models. Sensitivity analyses with alternative model development strategies were performed, and predictive performance was compared. After covariate adjustment, white matter hyperintensity score, leukocyte count on admission, and
non‐Hispanic
Black race (compared with
non‐Hispanic
White race) were associated with the presence of
DWI
lesions. History of
ICH
and ischemic stroke, presence of
DWI
lesions, deep
ICH
location (versus lobar),
ICH
volume, age, lower Glasgow Coma Score on admission, and medical history of diabetes were associated with poor 6‐month modified Rankin Scale outcome (4–6) after covariate adjustment. Inclusion of interactions between race and ethnicity and variables included in the final multivariable model for functional outcome improved model performance; a significant interaction between race and ethnicity and medical history of diabetes and serum blood glucose on admission was observed.

Conclusions
No measure of hyperglycemia or diabetes was associated with presence of DWI lesions. However, both medical history of diabetes and presence of DWI lesions were independently associated with poor functional outcomes after ICH.
Partial Mural Cell Ablation Disrupts Coronary Vasculature Integrity and Induces Systolic Dysfunction
Authors: Cornuault Lauriane , Hérion François‐Xavier , Bourguignon Célia , Rouault Paul , Foussard Ninon , Alzieu Philippe , Chapouly Candice , Gadeau Alain‐Pierre , Couffinhal Thierry , Renault Marie‐Ange 
Published: June 2023

Background
Although the critical role of pericytes in maintaining vascular integrity has been extensively demonstrated in the brain and the retina, little is known about their role in the heart. We aim to investigate structural and functional consequences of partial pericyte depletion (≈60%) in the heart of adult mice.

Methods and Results

To deplete pericytes in adult mice, we used platelet‐derived growth factor receptor β–Cre/ERT2; Rosa
DTA
mice and compared their phenotype with that of control mice (Rosa
DTA
) chosen among their littermates. Cardiac function was assessed via echocardiography and left ventricular catheterization 1 month after the first tamoxifen injection. We found mice depleted with pericytes had a reduced left ventricular ejection fraction and an increased end‐diastolic pressure, demonstrating both systolic and diastolic dysfunction. Consistently, mice depleted with pericytes presented a decreased left ventricular contractility and an increased left ventricular relaxation time (dP/dt
min
). At the tissue level, mice depleted of pericytes displayed increased coronary endothelium leakage and activation, which was associated with increased CD45
+
cell infiltration. Consistent with systolic dysfunction, pericyte depletion was associated with an increased expression of myosin heavy chain 7 and decreased expression of ATPase sarcoplasmic/endoplasmic reticulum Ca2
+
transporting 2 and connexin 43. More important, coculture assays demonstrated, for the first time, that the decreased expression of connexin 43 is likely attributable to a direct effect of pericytes on cardiomyocytes. Besides, this study reveals that cardiac pericytes may undergo strong remodeling on injury.

Conclusions
Cardiac pericyte depletion induces both systolic and diastolic dysfunction, suggesting that pericyte dysfunction may contribute to the occurrence of cardiac diseases.
What Does Art History Have to Say About a Lebanese Sasquatch? The Body of Decolonial Struggle in Amanda Boulos's Art
Authors: El-Sheikh Tammer S. 
Published: June 2023

Abstract
This paper focuses on several works by the Palestinian-Canadian painter Amanda Boulos that communicate the shared desire of both Palestinians in the diaspora and Indigenous peoples of Canada to move beyond the normative identities of settler colonialism. Through co-ordinated social historical, formalist and iconographical readings of Boulos's work, I propose a shift in the discourse on global contemporary art, from postcolonial figures of the oriental, the subaltern and the hybrid to strategies of representation such as transformation, ambiguity and queering – a shift intended to foster alliances amongst members of BIPOC communities, against the divisive politics of settler colonialism in Palestine, Canada and elsewhere. To this end, the artworks are set in two interrelated contexts: one art historical and one more strictly political. Boulos's work is read in relation to that of contemporary artists dealing with postcolonial conflict zones, and Modern and contemporary Palestinian artists both in Palestine and its diaspora. Relevant political contexts for her work include Palestinian LGBTQ activism after the Second Intifada and the 2014 Israeli War on Gaza called Operation Protective Edge.
Spatiotemporal Dynamics of Memory Encoding and Memory Retrieval States
Authors: Hong Yuju , Moore Isabelle L. , Smith Devyn E. , Long Nicole M. 
Published: June 2023

Abstract
Memory encoding and memory retrieval are neurally distinct brain states that can be differentiated on the basis of cortical network activity. However, it is unclear whether sustained engagement of one network or fluctuations between multiple networks give rise to these memory states. The spatiotemporal dynamics of memory states may have important implications for memory behavior and cognition; however, measuring temporally resolved signals of cortical networks poses a challenge. Here, we recorded scalp electroencephalography from participants performing a mnemonic state task in which they were biased toward memory encoding or retrieval. We performed a microstate analysis to measure the temporal dynamics of cortical networks throughout this mnemonic state task. We find that Microstate E, a putative analog of the default mode network, shows temporally sustained dissociations between memory encoding and retrieval, with greater engagement during retrieve compared with encode trials. We further show that decreased engagement of Microstate E is a general property of encoding, rather than a reflection of retrieval suppression. Thus, memory success, as well as cognition more broadly, may be influenced by the ability to engage or disengage Microstate E in a goal-dependent manner.
A Diagnosis of Cartesian Atheism
Authors: Sakamoto Kuni , Kato Yoshi 
Published: June 2023

Abstract
The present paper analyzes Petrus van Maistricht’s (1630–1706) critique of Baruch Spinoza’s Theological-Political Treatise found in his Novitatum cartesianarum gangraena (1677). The paper shows, first, that Mastricht regarded Spinoza’s atheism as the inevitable outcome of the Cartesians’ denial of philosophy’s subordination to theology. Second, Mastricht, in refuting Spinoza, revised his earlier critique of Cartesianism. In his previous work, Mastricht had already pointed out the atheistic implications of Cartesianism, but in the Gangraena he could now clearly identify Spinoza’s Theological-Political Treatise as the atheistic consequence of Cartesianism. He was thus able to confirm his distinctive diagnosis of Cartesianism as a gangrene that would gradually worsen and eventually destroy the entire body of theology.
The Memphite Sacerdotal Decree of 161 BCE (Plates I–V)
Authors: Panov Maxim , Lanciers Eddy 
Published: June 2023

Abstract
The present article deals with a little-known sacerdotal decree composed under Ptolemy VI Philometor in 161 BCE and includes a new hieroglyphic copy, a translation, and a commentary. The document is the most recent of the preserved Ptolemaic priestly decrees. It is of particular historical interest because it provides information on coronation ceremonies for Ptolemy VI in Memphis, an event not mentioned in other sources. Other notable elements are the reference to a revolt or unrest and the fact that the royal cartouches are consistently erased. Although the text has the usual structure of the other synodal decrees and shows, in particular, several parallels with the decrees of 196 and 185 BCE, it contains significant deviations from these texts and cannot be considered a copy or simple update of these earlier texts.
Contrastive Corpus Studies of Pragmatic Markers
Authors: Andersen Gisle 
Published: June 2023

Abstract
The articles in this special issue account for the use of pragmatic markers in a variety of languages by taking a contrastive approach and applying corpus methodology. This introduction article describes these notions and the way they are manifested in each contribution. The studies contribute to the fledging field of contrastive pragmatics, which encompasses investigations of pragmatic phenomena by comparing usage across or within languages. Contrastive studies aim to uncover differences and similarities observable in language use along different dimensions, most notably across languages or varieties of the same language, or across structurally or conceptually different usage domains (or combinations of these). The studies of pragmatic markers explore how contextual factors have a bearing upon language use and variation across the domains that are compared.
Probabilistic Forecasting Methods of Winter Mixed-Precipitation Events in New York State Utilizing a Random Forest
Authors: Filipiak Brian C. , Bassill Nick P. , Corbosiero Kristen L. , Lang Andrea L. , Lazear Ross A. 
Published: June 2023

Abstract
Winter mixed-precipitation events are associated with multiple hazards and create forecast challenges that are due to the difficulty in determining the timing and amount of each precipitation type. In New York State, complex terrain enhances these forecast challenges. Machine learning is a relatively nascent tool that can help improve forecasting by synthesizing large amounts of data and finding underlying relationships. This study uses a random forest machine learning algorithm that generates probabilistic winter precipitation type forecasts. Random forest configuration, testing, and development methods are presented to show how this tool can be applied to operational forecasting. Dataset generation and variation are also explained because of their essential nature in the random forest. Last, the methodology of transitioning a machine learning algorithm from research to operations is discussed.

Significance Statement
Examining the role that machine learning can play in winter precipitation type forecasting is an area of research that has ample room for exploration, as much of the previous research has focused on applying machine learning to warm-season precipitation and severe weather events. Establishing a framework and methodology to successfully combine machine learning and weather research into effective operational tools is a valuable addition to the machine learning community. Because machine learning is increasingly being applied to meteorology, this work can act as a road map to help develop other meteorological tools based in machine learning.
Distinct Orographic Controls on the Asymmetrical Onset of the South Asian Summer Monsoon: Hindu Kush versus Himalaya–Tibet
Authors: Sha Yingying , Shi Zhengguo , Li Xinzhou , Cheng Hai , Liu Xiaodong , An Zhisheng 
Published: June 2023

Abstract
The relative impacts of the Tibetan Plateau–Himalaya (TPH) and the adjacent narrow mountains on the South Asian summer monsoon (SASM) are still unclear. We used a general circulation model to evaluate the relative effects of the TPH, the Hindu Kush Mountains (HKM), and the Iranian Plateau on the SASM from the perspective of the asymmetrical onset of the Bay of Bengal (BOB) summer monsoon (BOBSM) and the Indian summer monsoon (ISM). The results show that the abrupt onset of the BOBSM in May is affected by the TPH and HKM, which significantly strengthen precipitation over the BOB. By contrast, precipitation over the Indian subcontinent is suppressed by the TPH. In June, the TPH and the HKM contribute to strengthening and expanding precipitation over the Indian subcontinent and the ISM is significantly intensified. The strengthening of the SASM onset induced by the HKM is comparable with, or even larger than, that induced by the TPH. The effect of the Iranian Plateau on the SASM is much weaker and localized. The distinct role of the HKM is caused by the appearance of an anomalous low-level cyclone around the HKM and an anticyclone to the south, strengthening the India–Burma trough and the Somali jet. The topographic control of the HKM depends on the pre-existence of the TPH. We show that the sensible heat from the HKM accounts for 78.6% and 31.6% of the HKM-induced increase in precipitation during the onset of the BOBSM and ISM, respectively.

Significance Statement
The South Asian summer monsoon shows a prominent asynchronous feature in that it starts earlier over the Bay of the Bengal (BOB) during May and appears over the Indian subcontinent in June. However, how the adjacent mountain ranges modulate this monsoon advance is still unclear. Our climate model experiments show that both the Hindu Kush Mountains (HKM) and the Tibet Plateau–Himalaya (TPH) contribute to the strengthening of the asymmetrical onset of the monsoon. During May, the monsoon over the BOB is significantly intensified while the precipitation over the Indian subcontinent is largely suppressed. The HKM–TPH strengthens the precipitation over the Indian subcontinent in June. The HKM-induced strengthening is comparable with, or even larger than, that induced by the TPH.