bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural insight into the allosteric inhibition of human sodium-calcium exchanger NCX1 by XIP and SEA0400
Authors: Dong Yanli , Yu Zhuoya , Li Yue , Huang Bo , Bai Qinru , Gao Yiwei , Chen Qihao , Li Na , He Lingli , Zhao Yan 
Published: December 2023

AbstractSodium-calcium exchanger proteins influence calcium homeostasis in many cell types and participate in a wide range of physiological and pathological processes. Here, we elucidate the cryo-EM structure of the human Na+/Ca2+ exchanger NCX1.3 in the presence of a specific inhibitor, SEA0400. Conserved ion-coordinating residues are exposed on the cytoplasmic face of NCX1.3, indicating that the observed structure is stabilized in an inward-facing conformation. We show how regulatory calcium-binding domains (CBDs) assemble with the ion-translocation transmembrane domain (TMD). The exchanger-inhibitory peptide (XIP) is trapped within a groove between the TMD and CBD2 and predicted to clash with gating helices TMs1/6 at the outward-facing state, thus hindering conformational transition and promoting inactivation of the transporter. A bound SEA0400 molecule stiffens helix TM2ab and affects conformational rearrangements of TM2ab that are associated with the ion-exchange reaction, thus allosterically attenuating Ca2+-uptake activity of NCX1.3.
The IRE1β-mediated unfolded protein response is repressed by the chaperone AGR2 in mucin producing cells
Authors: Neidhardt Lisa , Cloots Eva , Friemel Natalie , Weiss Caroline A M , Harding Heather P , McLaughlin Stephen H , Janssens Sophie , Ron David 
Published: December 2023

AbstractEffector mechanisms of the unfolded protein response (UPR) in the endoplasmic reticulum (ER) are well-characterised, but how ER proteostasis is sensed is less well understood. Here, we exploited the beta isoform of the UPR transducer IRE1, that is specific to mucin-producing cells in order to gauge the relative regulatory roles of activating ligands and repressing chaperones of the specialised ER of goblet cells. Replacement of the stress-sensing luminal domain of endogenous IRE1α in CHO cells (normally expressing neither mucin nor IRE1β) with the luminal domain of IRE1β deregulated basal IRE1 activity. The mucin-specific chaperone AGR2 repressed IRE1 activity in cells expressing the domain-swapped IRE1β/α chimera, but had no effect on IRE1α. Introduction of the goblet cell-specific client MUC2 reversed AGR2-mediated repression of the IRE1β/α chimera. In vitro, AGR2 actively de-stabilised the IRE1β luminal domain dimer and formed a reversible complex with the inactive monomer. These features of the IRE1β-AGR2 couple suggest that active repression of IRE1β by a specialised mucin chaperone subordinates IRE1 activity to a proteostatic challenge unique to goblet cells, a challenge that is otherwise poorly recognised by the pervasive UPR transducers.
Unveiling the digital persona image: the influence of social media on political candidates’ brand personality and voter behaviour in Kuwait
Authors: Alhaimer Rashed Salem 
Published: December 2023

AbstractThe research paper examined the interplay between social media, brand personality, and voter behaviour in Kuwait’s unique political environment. The study applied the Aaker model of brand personality to investigate how social media shapes the brand personality of political candidates, how voters perceive this brand personality, and the impact it has on their behaviour. Further, it explored the role of tribal and religious affiliations in shaping the perceived brand personality of candidates and their implications for election campaign strategies. Through a quantitative research design, data was collected from 363 Kuwaiti voters using a structured questionnaire. The findings revealed the significant influence of social media on voter behaviour, as well as the relevance of the Aaker model in the political context of Kuwait. The study uncovered the connection between voter demographics and preferences, highlighting the impact of socio-cultural factors on voter behaviour. The implications drawn from these findings provide valuable insights for election campaign strategies in Kuwait’s digitalised political environment.
Art, human rights, and threats from above
Authors: Salecl Renata 
Published: December 2023

AbstractArt can present to people the dangers coming from above, like excessive surveillance, military attacks and climate change, which all threaten people's physical and mental well-being. Governments, however, also use art to legitimise new military and surveillance technologies. They often create seductive images which show the efficiency of these technologies, and they develop fiction related to pre-emptive measures which might try to predict and prevent crimes from occurring. In the last 20 years, especially after the 11 September terrorist attack, we have witnessed an essential change in the perception of human rights and reinterpretations of laws to allow pre-emptive strikes in the battle against terrorism. The concept of pre-crime, increased surveillance, and the belief that one can predict and prevent crimes have also altered the perceptions of subjectivity. While some critics regard human rights as obsolete or inefficient, political scientists like Claude Lefort have perceived them as always open to reinterpretation and expansion. People can invent new human rights. The increased threats from above require that we expand the existing rights corpus.
Linear eigenvalue statistics of XX′ matrices
Authors: A. S. Kiran Kumar , Maurya Shambhu Nath , Saha Koushik 
Published: December 2023

This article focuses on the fluctuations of linear eigenvalue statistics of Tn×pTn×p′, where Tn×p is an n × p Toeplitz matrix with real, complex, or time-dependent entries. We show that as n → ∞ with p/n → λ ∈ (0, ∞), the linear eigenvalue statistics of these matrices for polynomial test functions converge in distribution to Gaussian random variables. We also discuss the linear eigenvalue statistics of Hn×pHn×p′, when Hn×p is an n × p Hankel matrix. As a result of our studies, we derive in-probability limit and a central limit theorem type result for the Schettan norm of rectangular Toeplitz matrices. To establish the results, we use the method of moments.
Instructor positioning as participants in a transnational EMI program
Authors: Shea Kate , Vu Truong , Sokol Geoff 
Published: December 2023

Abstract
The simultaneous global growth in higher education’s student population and demand for English-medium instruction
(EMI) have created various models of transnational education (TNE) partnerships that use EMI to recruit students and increase
opportunities for international collaboration. Inevitably, in transnational collaborative efforts, stakeholders have far more
conflicting considerations as they navigate multiple countries’ academic policies and norms, diverse student, staff and faculty
expectations, and the myriad of linguistic and cultural differences. In response to these concerns, this qualitative case study
analyzed instructor discursive positioning in a TNE partnership between a US and a Vietnamese institution. Using a collaborative
action research approach, this article features the experience of two instructors teaching in a TNE partnership using an EMI model
in Vietnam. Using identity and positioning theory as guiding theoretical frameworks, instructors’ and students’ discourses were
thematically analyzed. The findings reflect dominant discourses and language ideologies surrounding the “Englishization” of higher
education, in addition to highlighting stakeholders’ challenges of working between two institutions and having
conflicting responsibilities as both instructors and administrative staff. Similarly, the students’ interview data reflected their
navigation of being participants at two universities with different academic systems and norms.
A four-year trajectory of development from student to published researcher
Authors: Shahri Naseh Nasrollahi 
Published: December 2023

AbstractThis case study tracks a multilingual writer’s academic writing, in particular her engagement in the research article (RA) genre, over the course of four years as she moved along a trajectory from a novice graduate student to a confident disciplinary writer. The theoretical framework draws from academic literacies (Barton & Hamilton, 1998), highlighting practice and disposition (Bourdieu, 1990) as a way of understanding engagement with the RA genre. The findings, based on an analysis of interviews conducted with the participant, reveal three stages of the participant’s development in her disposition toward the RA genre, all interspersed with affect. Each stage is illustrated through examples from the interviews. The study’s longitudinal design provides a novel perspective that brings out a dynamic picture of thedevelopmentof a graduate student writer. The findings are discussed in light of previous research and pedagogical implications are set out.
Japanese scientists’ English for research publication purposes
Authors: McDowell Leigh 
Published: December 2023

Abstract
Error Analysis was developed by early Second Language Acquisition (SLA) researchers as a way to investigate
interlanguage and better understand the second-language learning processes. While it is no longer an active branch of research in
SLA, it remains a useful tool for those concerned with accuracy in language use. Given the elevated importance of accuracy in
English for Research and Publication Purposes (ERPP), this may be one area where Error Analysis may continue to inform research
and praxis. The high degree of language precision demanded in ERPP contexts can be a source of frustration for many engaged in
scholarly publication, especially those for whom English is an additional language, such as the Japanese scientists studied in
this paper. For Japanese scientists and possibly others, an empirical profile of their most frequent error patterns may help them
to better deal with accuracy in research writing. With this motivation, this study applies a corpus-assisted error analysis
framework to quantify sentence-level grammar errors and identify the most frequent error patterns in the research article
manuscripts of Japanese scientists. A corpus of 53 research article manuscripts with 4,495 errors comprises the primary data.
Additionally, two raters and a comparison of errors from scientists from six different L1 backgrounds are employed to triangulate
the data and investigate the reliability and generalizability of the findings. Findings reveal that the top ten most frequent
errors comprise 52.9%, or half of all errors in the corpus, and are dominated by errors with determiners and prepositions.
Torso articulation in sign languages
Authors: Napoli Donna Jo , Sutton-Spence Rachel 
Published: December 2023

Abstract
Torso articulation in sign languages is mentioned variably in the linguistic analysis of sign languages but is
often ignored. The prevailing idea seems to be that detailed study of movement of the parts of the torso will yield little insight
into linguistic matters – so mentions can be general and brief. The result is that torso articulations are an unmined area –
perhaps one that holds treasures, particularly regarding the appreciation of creative sign language. We draw together the findings
of other research regarding torso articulation, then give an inventory of possible torso articulations, exemplified with signs
from dozens of the world’s named sign languages, and a brief overview of how annotation systems have approached torso movement in
signs. We end with suggestions for how the study of torso articulation can open new avenues of sign language research.
Evaluate Emotional State Based on Temperature Readings
Authors: Uddin Jashim 
Published: December 2023

Abstract
Infrared thermography (IRT) allows visualization of temperature changes within the body system of animals due to emotional changes in a fearful situation such as facing an unknown person in their flight distance. Infrared thermography is becoming popular in the research of animal emotions as an objective measure. Stress stimulants activate the autonomic nervous system to secrete adrenaline, which causes the blood vessels to tighten and increase blood flow throughout the body. Infrared thermography quantifies the heat radiation emitted from the body’s surface, which fluctuates depending on the flow of blood below the skin. It has been discovered through a number of studies that IRT of the eyes of lactating dairy cows can more accurately predict their emotional responses than the commonly used rectal temperature and/or other behavioural measures. The IRT of eyes showed the potential to predict negative emotional responses in association with laterality testing, flight speed, waiting time, and other behaviours such as sniffing. The IRT of the eye was a repeatable measure, while rectal temperature was not.

Information
© The Author 2023
Dengue virus: Epidemiology, clinical aspects, diagnosis, prevention and management of disease in Pakistan: Review
Authors: Muhammad Usman , Ahmad Maqsood , Abbas Sohail , Arif Muhammad Zahid Ehsan , Jan Misbah , Sarwar Muhammad Farhan , Aziz Mariam , Alam Aleena , Sumbal Ghulam Ahmad Khan , Hameed Muhammad Salman 
Published: December 2023

Abstract

Worldwide, the dengue virus (DENV) is a common cause of infections. The disease can range from a minor flu-like illness to a serious complex ailment that kills the sufferer. Both the morbidity and fatality rates associated with dengue fever (DF) are high in Pakistan and other Asian nations. Through a mosquito bite, the DENV is spread. DENV was isolated to specific regions of the tropics and subtropics until the middle of the 20th century. Global distribution of DF is influenced by a number of variables, including changing climate, rising international travel and urban population, poor vector management techniques, lack of safe and effective antiviral medications and a lack of vaccines to prevent the disease. In over 100 nations, DF poses a major threat to the lives of over 2.5 billion people. Today, DF is endemic to the Caribbean, South America, Africa and Asia. In actuality, 40% of the world’s population currently resides in nations where there is a significant risk of DF transmission. It has grown to be a significant health issue in Pakistan and is predicted to get worse over the next few years. In Pakistan, dengue cases increase in the rainfall season, especially during monsoon season. In Pakistan, the mosquito species
Aedes aegypti
is the main carrier of this disease. This review article summarizes the epidemiology, clinical aspects of DF and DHF, diagnosis, prevention and management of disease in Pakistan.
Dual-frequency transmitter configuration for shallow surface electromagnetic detection
Authors: Liu Weiyu , Yu Shengbao , Zhang Xinhao 
Published: December 2023

Abstract
In shallow surface electromagnetic detection, the square wave scheme is generally used in conventional transmission systems. Based on frequency-domain electromagnetic sounding theory, high-frequency measurement helps to improve vertical resolution. However, long grounded cable inductance produces severe reactive power suppression at high frequency transmission frequencies, which will reduce detection. To further improve detection accuracy and efficiency, a dual-frequency transmitter configuration is proposed in this article for shallow surface detection. The transmitter simultaneously powers two LC series resonant circuits for the detection of shallow and deep area. Dual-frequency control strategy is adopted, with both bridge arms being provided with constant switching frequency operation. According to the equivalent model of the transmission system, the control of the load branches is independent of each other. The LC series resonant circuit guarantees a wide passband to match long cable inductance that cannot be accurately estimated in advance. Simulations and experimental tests were carried out using this transmitter configuration and control technique. The simulation and experimental results are in general agreement, verifying the feasibility and effectiveness of the proposed dual-band transmitter configuration.
Half-wavelength velocity bunching: non-adiabatic temporal focusing of charged particle beams
Authors: Opanasenko Anatoliy , Perosa Giovanni , Ribbing Johan , Goryashko Vitaliy 
Published: December 2023

Abstract
X-ray free-electron lasers (XFELs) and megaelectronvolt ultrafast electron diffractometers (MeV UEDs) are revolutionary scientific instruments that allow visualizing the dynamics of elementary excitations in a wide range of systems from atoms and molecules to phonons, magnons and plasmons. Femtosecond (fs) electron beams are at the heart of XFELs and MeV UEDs, and the formation of fs electron beams with ultrahigh brightness is the subject of active research. We report an interesting regime of non-adiabatic temporal compression of electron beams by two orders of magnitude. Via analytical calculations and numerical simulations, we show that few MeV electron bunches can be trapped and compressed by a strong electromagnetic field within a half of the field wavelength. Furthermore, in a multi-cell accelerating cavity, the bunch is first compressed and then accelerated, thus allowing one to preserve very short bunch duration. For example, a 3 ps 16 pC 1 MeV electron bunch is compressed to 21 fs rms and accelerated to 12 MeV in a TESLA superconducting cavity. Another example is the production of 1.2 fs 16 fC 3.3 MeV bunches with a coherence length of 20 nm and and an energy spread less than 3 keV. The discovered mechanism of compression, which is another mode of velocity bunching, opens the door for obtaining very high electron brightness.
Predict the last closed-flux surface evolution without physical simulation
Authors: Wan Chenguang , Bai Shuhang , Yu Zhi , Yuan Qiping , Huang Yao , Liu Xiaojuan , Hu Yemin , Li Jiangang 
Published: December 2023

Abstract
One of the main challenges in developing effective control strategies for the magnetic control system in tokamaks has been the difficulty in obtaining the last closed-flux surface (LCFS) evolution results from control commands. We have developed a data-driven model that combines a predictive model and a surrogate model for physics simulation programs. This model is capable of predicting the LCFS without relying on physical simulation codes. Addressing the data characteristics of LCFS, we have proposed a specialized discretization approach to achieve dimensionality reduction. Furthermore, we have excluding the control references, the model can be seamlessly integrated into the control system, providing real-time LCFS prediction. Following comprehensive testing and multifaceted evaluation, our model has demonstrated highly satisfactory results of 95% or above, meeting practical requirements.
Power Brownian motion
Authors: Eliazar Iddo 
Published: December 2023

Abstract
Brownian motion (BM) is the archetypal model of regular diffusion. BM is a Gaussian and Markov process, whose increments are stationary, and whose non-overlapping increments are independent. Elevating from regular diffusion to anomalous diffusion, fractional Brownian motion (FBM) and scaled Brownian motion (SBM) are arguably the two most popular Gaussian anomalous-diffusion models. Each of these two models maintains some BM properties, abandons other, and displays certain anomalous behaviors. This paper explores a Gaussian anomalous-diffusion model—Power Brownian Motion (PBM)—that is attained by a coupled amplitudal and temporal ‘tinkering’ with BM. The PBM model combines ‘the better of FBM and SBM’. Indeed, as FBM, PBM displays the anomalous behaviors of persistence and anti-persistence. And, as SBM, PBM is a Markov process that displays the anomalous behaviors of aging and anti-aging. On their own, neither FBM nor SBM can provide the ‘features package’ that PBM provides. The PBM ‘features package’ on the one hand, and its simple construction on the other hand, render PBM a compelling anomalous-diffusion model.
On some Lie-theoretic solutions of the tt*-Toda equations with integer Stokes data
Authors: Hateruma Yudai , Kaneko Yoshiki 
Published: December 2023

Abstract
We describe some solutions of the tt*-Toda equations with integer Stokes data, based on a Lie-theoretic approach. In particular, we find all such solutions in a certain 1-parameter family. For general solutions, we compare the results of Guest–Its–Lin (based on solving the equations) with the original classification of Cecotti–Vafa (based on braid group orbits of Stokes matrices for hypothetical solutions), and find that these agree in low dimensions.
Unraveling viral drug targets: a deep learning-based approach for the identification of potential binding sites
Authors: Popov Petr , Kalinin Roman , Buslaev Pavel , Kozlovskii Igor , Zaretckii Mark , Karlov Dmitry , Gabibov Alexander , Stepanov Alexey 
Published: December 2023

Abstract
The coronavirus disease 2019 (COVID-19) pandemic has spurred a wide range of approaches to control and combat the disease. However, selecting an effective antiviral drug target remains a time-consuming challenge. Computational methods offer a promising solution by efficiently reducing the number of candidates. In this study, we propose a structure- and deep learning-based approach that identifies vulnerable regions in viral proteins corresponding to drug binding sites. Our approach takes into account the protein dynamics, accessibility and mutability of the binding site and the putative mechanism of action of the drug. We applied this technique to validate drug targeting toward severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein S. Our findings reveal a conformation- and oligomer-specific glycan-free binding site proximal to the receptor binding domain. This site comprises topologically important amino acid residues. Molecular dynamics simulations of Spike in complex with candidate drug molecules bound to the potential binding sites indicate an equilibrium shifted toward the inactive conformation compared with drug-free simulations. Small molecules targeting this binding site have the potential to prevent the closed-to-open conformational transition of Spike, thereby allosterically inhibiting its interaction with human angiotensin-converting enzyme 2 receptor. Using a pseudotyped virus-based assay with a SARS-CoV-2 neutralizing antibody, we identified a set of hit compounds that exhibited inhibition at micromolar concentrations.
KinomeMETA: meta-learning enhanced kinome-wide polypharmacology profiling
Authors: Ren Qun , Qu Ning , Sun Jingjing , Zhou Jingyi , Liu Jin , Ni Lin , Tong Xiaochu , Zhang Zimei , Kong Xiangtai , Wen Yiming , Wang Yitian , Wang Dingyan , Luo Xiaomin , Zhang Sulin , Zheng Mingyue , Li Xutong 
Published: December 2023

Abstract
Kinase inhibitors are crucial in cancer treatment, but drug resistance and side effects hinder the development of effective drugs. To address these challenges, it is essential to analyze the polypharmacology of kinase inhibitor and identify compound with high selectivity profile. This study presents KinomeMETA, a framework for profiling the activity of small molecule kinase inhibitors across a panel of 661 kinases. By training a meta-learner based on a graph neural network and fine-tuning it to create kinase-specific learners, KinomeMETA outperforms benchmark multi-task models and other kinase profiling models. It provides higher accuracy for understudied kinases with limited known data and broader coverage of kinase types, including important mutant kinases. Case studies on the discovery of new scaffold inhibitors for membrane-associated tyrosine- and threonine-specific cdc2-inhibitory kinase and selective inhibitors for fibroblast growth factor receptors demonstrate the role of KinomeMETA in virtual screening and kinome-wide activity profiling. Overall, KinomeMETA has the potential to accelerate kinase drug discovery by more effectively exploring the kinase polypharmacology landscape.