bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multifactorial aspectual analysis of verb concatenation with imperfective markers zhe in Mandarin
Authors: Jin Junjie , Li Fuyin Thomas 
Published: May 2023

Abstract
As a cognitive ability to construe events in alternate ways, aspectuality has aroused many researchers’ academic attention; however, the concatenation of aspect markers in a clause is understudied in previous studies. The present paper follows a bidimensional approach of aspect to conduct a corpus-based aspectual analysis of verb concatenation with imperfective markers zhe (henceforth VCIMs zhe) in Mandarin. Specifically, to construe the cognitive inference mechanism of aspect, a multifactorial analysis of VCIMs zhe by the statistical techniques of multiple correspondence analysis, conditional inference trees and conditional random forests is carried out to explore the prototypical temporal features of verbs in two slots, predict the aspectual meanings of two imperfective markers zhe, and also discuss the conditional importance of factors such as durativity, dynamicity, telicity, boundedness, and slot in identifying the situation types of two verbs or verb phrases in VCIMs zhe. Methodologically, a usage-based multifactorial analysis of VCIMs zhe complements previous introspective studies on aspect marking. Theoretically, a corpus-based aspectual account of VCIMs zhe, one type of complex viewpoint aspects, expands traditional studies on Chinese aspect system, supplies evidence for aspect typology cross-linguistically, and provides reference for second language acquisition of usage patterns of zhe by non-native speakers.
On a Mixed FEM and a FOSLS with 𝐻−1 Loads
Authors: Führer Thomas 
Published: May 2023

Abstract
We study variants of the mixed finite element method (mixed FEM) and the first-order system least-squares finite element (FOSLS) for the Poisson problem where we replace the load by a suitable regularization which permits to use

H

−
1

H^{-1}

loads.
We prove that any bounded

H

−
1

H^{-1}

projector onto piecewise constants can be used to define the regularization and yields quasi-optimality of the lowest-order mixed FEM resp. FOSLS in weaker norms.
Examples for the construction of such projectors are given.
One is based on the adjoint of a weighted Clément quasi-interpolator.
We prove that this Clément operator has second-order approximation properties.
For the modified mixed method, we show optimal convergence rates of a postprocessed solution under minimal regularity assumptions—a result not valid for the lowest-order mixed FEM without regularization.
Numerical examples conclude this work.
Phosphorus removal by iron–carbon microelectrolysis: A new way to achieve phosphorus recovery
Authors: Wang Chao , Wang Changwen , Xu Mei , Zhang Fanke 
Published: May 2023

Abstract
Iron–carbon microelectrolysis was employed to remove phosphorus in this study. The efficiency, mechanism, influence factors, and feasibility of actual wastewater were investigated. The results showed that iron–carbon microelectrolysis had an excellent phosphorus removal ability. When the initial concentration of

PO

4

3
−

{\text{PO}}_{4}^{3-}

–P was 19.44 mg·L−1, after 120 min reaction time, the remaining

PO

4

3
−

{\text{PO}}_{4}^{3-}

–P in wastewater was 4.65 mg·L−1, and the removal rate was 76.05%. The precipitate formed in the reaction was mainly ferric phosphate (FePO4), which had a high recovery value. There was a linear correlation between initial phosphorus concentrations and phosphorus removal velocity. As to actual wastewater, 88.37 ± 0.44%, 89.78 ± 1.88%, and 94.23 ± 0.16% phosphorus removal rates were achieved in the influent of municipal wastewater treatment plant, effluent of secondary sedimentation tank, and actual high salinity wastewater, respectively, after 120 min reaction time. This study provides a new method for phosphorus removal and recovery from wastewater.
Error analysis of the PacBio sequencing CCS reads
Authors: Pourmohammadi Reza , Abouei Jamshid , Anpalagan Alagan 
Published: May 2023

Abstract
Third generation sequencing technologies such as Pacific Biosciences and Oxford Nanopore provide faster, cost-effective and simpler assembly process generating longer reads than the ones in the next generation sequencing. However, the error rates of these long reads are higher than those of the short reads, resulting in an error correcting process before the assembly such as using the Circular Consensus Sequencing (CCS) reads in PacBio sequencing machines. In this paper, we propose a probabilistic model for the error occurrence along the CCS reads. We obtain the error probability of any arbitrary nucleotide as well as the base calling Phred quality score of the nucleotides along the CCS reads in terms of the number of sub-reads. Furthermore, we derive the error rate distribution of the reads in relation to the pass number. It follows the binomial distribution which can be approximated by the normal distribution for long reads. Finally, we evaluate our proposed model by comparing it with three real PacBio datasets, namely, Lambda, and E. coli genomes, and Alzheimer’s disease targeted experiment.
Classification and object detection with image assisted total station and machine learning
Authors: Zschiesche Kira , Schlüter Martin 
Published: May 2023

AbstractThis paper deals with applications of digital imaging total stations in a geodetic context using artificial intelligence (AI). We present two different use cases. The first is to minimise manual intervention by the operator by classifying images with different backgrounds. We use a developed software to control a total station extended by an industrial camera, which is used for thein-situcalibration of the camera. We show that the AI successfully tests the captured image for its suitability for further use and under which circumstances the AI fails. The second case is the detection of different geodetic targets (reflective and non-reflective). Captured images of an imaging total station are automatically checked to see whether a supposed target is shown in the image, identify it and localise it in the image. Already implemented applications for target identification are to be supported in this way and extended by further information.
Optimization of 200 MWt HTGR with ThUN-based fuel and zirconium carbide TRISO layer
Authors: Miftasani Fitria , Widiawati Nina , Trianti Nuri , Setiadipura Topan , Zuhair Zuhair , Irwanto Dwi , Permana Sidik , Su’ud Zaki 
Published: May 2023

Abstract
TRISO fuel particle using ZrC has better strength and resistance to high temperatures than SiC. Previous studies show that the ZrC layer, as a substitution of SiC within the TRISO layer of coated fuel particles, has an insignificant difference in the performance of the neutronic aspect. Further neutronic studies are required to obtain the best combination of thorium-based fuel with ZrC coating for HTGR. This study analyzed the neutronic performance of three types of thorium-based fuels, oxide, carbide, and nitride, for HTGR. The reactor design refers to the High-Temperature Test Reactor with some axial and radial fuel configuration adjustments. This reactor is designed to operate at 200 MWt and has been modified to use a ZrC layer as a substitute for the SiC layer on the coated fuel particles. The neutronic study is carried out using SRAC2006 code with JENDL 4.0 nuclear data library. Neutronic parameters analyzed include multiplication factor, power peaking factor, and neutron spectrum. Neutronic analysis results show that thorium nitride fuel’s multiplication factor (k
eff) is better than other compared fuel types with k-eff 1.050, higher than thorium carbide, 1.004. At the same time, thorium oxide has been sub-critical. The power-peaking value of all materials is close to the ideal peaking value that is one. Other neutronic aspects, such as the neutron spectrum for three compared fuel types, have a similar trend.
Menschlicher werden
Authors: Sinn Simone 
Published: May 2023

Zusammenfassung
Das interreligiöse Feld ist vielfältiger geworden und die Akteure zahlreicher: Neben Leitungspersonen, Gelehrten und vor allem vielen Menschen an der Basis, die zur interreligiösen Verständigung beitragen, sind im 21. Jahrhundert Faith-based Organisations (FBOs) und säkulare internationale Organisationen wichtige Akteure im interreligiösen Feld geworden. Neue Kooperationen zeigen, dass es wichtig ist, sowohl handlungspraktisch zusammenzuarbeiten als auch in interreligiösen Dialogprozessen über theologische und ethische Fragen zum Menschsein im Gespräch zu sein.
Interreligious Dialogue in Anglican Churches
Authors: Sudworth Richard 
Published: May 2023

Abstract
In this contribution, the author outlines the Reformed-Catholic temper of Anglican theology, pointing to Generous Love: the truth of the gospel and the call to dialogue, received by the Lambeth Conference in 2008, as a key resource for understanding Anglican interreligious relations. This theology embraces the complexity of relations with other religions, encompassing witness, dialogue and work for the common good, and is illustrated by examples of presence and engagement at local and national levels.
“The Spiritual Adventure of the Churches”
Authors: Amos Clare 
Published: May 2023

Abstract
The article draws upon the author’s lived experience of working for the World Council of Churches for seven years as lead staff member in its interreligious office. She suggests that there were three different strands, all of which were important to keep in mind in order to enable the office to carry out its role successfully: seeking to resource and enable Christians to live and minister in our multireligious world; developing and sustaining long-term bilateral relationships with partners representing other faiths, and with organisations which are intentionally interreligious; working with partners of other faiths on matters of mutual concern, particularly related to issues of justice and peace. The article explores each of these strands, with examples offered of how each was practically exemplified in the interreligious office during the period when she held staff responsibility for its work.
Bildbasierte Bestimmung der räumlichen und zeitlichen Verteilung des Brechungsindex während der Aushärtung von Polymeren in der additiven Fertigung von Optiken
Authors: Rank Manuel , Heinrich Andreas 
Published: May 2023

Abstract
In many fields and applications a spatially resolved measurement of the refractive index is desirable. This also applies to the additive manufacturing of optical components and is especially true in the special case of photopolymerization of liquid resins by UV irradiation. The key point here is that the resulting refractive index of the optical component to be printed depends on the degree of cure of the polymer. The latter is directly related to the UV irradiance used for curing. Thus, a local variation of the irradiance can enable a local variation of the refractive index of the additively manufactured optical component. In order to set a defined refractive index distribution, it is desirable to measure the refractive index during the photopolymerization of the resin in a temporally and spatially resolved manner. In this article, a method is discussed with which this can be achieved. The basic principle is that the polymer under investigation is brought into contact with a prism and, based on the principle of total reflection at the interface between prism and polymer, the refractive index of the sample can be inferred.
Assessment of the effects of CNR1, FAAH and MGLL gene variations on the synthetic cannabinoid use disorder
Authors: Altun Beril , Cok Ismet , Noyan Cemal Onur , Kadioglu Ela , Cetin Alptekin , Sengezer Tijen , Altintas Merih , Kurnaz Samet , Dilbaz Nesrin 
Published: May 2023

Abstract

Objectives
Given that drug addiction occurs as a result of complex gene-environment interaction, a number of studies claimed that cannabinoid receptor 1 (CNR1), fatty acid amide hydrolase (FAAH), and monoacylglycerol lipase (MGLL) single nucleotide polymorphisms (SNPs) are associated with the risk of substance use disorders such as cannabis, opioids, and, methamphetamine. However, scientific research on genetic susceptibility to synthetic cannabinoid addiction is limited. In this population-based case-control study, we aimed to evaluate the genetic susceptibility to synthetic cannabinoid use disorder in terms of these three endocannabinoid system genes in the Turkish population.

Methods
100 individuals diagnosed with synthetic cannabinoid use disorder according to Diagnostics and Statistical Manual of Mental Disorders-5 criteria and 100 healthy volunteers have recruited for the study. Genotyping of the CNR1 rs1049353, FAAH rs324420, and MGLL rs604300 SNPs was performed using Real-Time Polymerase Chain Reaction hybridization probes.

Results
The patient and control groups consist of 98 % male, 2 % female, 80 % male, and 20 % female individuals, respectively. The genotype distributions were consistent with Hardy–Weinberg equilibrium for all SNPs (p>0.05). FAAH rs324420 and MGLL 604300 SNPs were genotyped for the first time in the Turkish population, and the variant allele frequencies were found as 0.205 and 0.085, respectively. Allele frequencies and genotype distributions CNR1 rs1049353, FAAH rs324420, and MGLL rs604300 SNPs were similar between the patient and control group (p>0.05).

Conclusions
These results indicate that CNR1, FAAH, and MGLL gene polymorphisms do not influence the risk of synthetic cannabinoid use disorder in the Turkish population.
A History of Low-Dose Ethanol Shifts the Role of Ventral Hippocampus during Reward Seeking in Male Mice
Authors: Bryant Kathleen G. , Nothem Mitchell A. , Buck Lauren A. , Singh Binay , Amin Sana , Curran-Alfaro Christina M. , Barker Jacqueline M. 
Published: May 2023

AbstractAlthough casual drinkers are a majority of the alcohol drinking population, understanding of the long-term effects of chronic exposure to lower levels of alcohol is limited. Chronic exposure to lower doses of ethanol may facilitate the development of alcohol use disorders, potentially because of ethanol effects on reward learning and motivation. Indeed, our previously published findings showed that chronic low-dose ethanol exposure enhanced motivation for sucrose in male, but not female, mice. As the ventral hippocampus (vHPC) is sensitive to disruption by higher doses of chronic ethanol and tracks reward-related information, we hypothesized that this region is impacted by low-dose ethanol and, further, that manipulating vHPC activity would alter reward motivation.In vivoelectrophysiological recordings of vHPC population neural activity during progressive ratio testing revealed that vHPC activity was suppressed in the period immediately after reward seeking (lever press) in ethanol-naive controls, whereas suppression of vHPC activity anticipated reward seeking in ethanol-exposed mice. In both ethanol-naive and exposed mice, vHPC activity was suppressed before a reward magazine entry. Temporally selective inhibition of vHPC using optogenetics increased motivation for sucrose in ethanol-naive controls, but not in ethanol-exposed mice. Further, regardless of exposure history, vHPC inhibition promoted checking of the reward magazine, indicating a role for vHPC in reward tracking. There was no effect of chemogenetic inhibition of the vHPC either during training or testing on sucrose reward motivation. These results reveal novel ethanol-induced alterations in vHPC neural activity that shift how vHPC activity is able to regulate reward seeking.
A Fluid Self-Concept: How the Brain Maintains Coherence and Positivity across an Interconnected Self-Concept While Incorporating Social Feedback
Authors: Elder Jacob J. , Davis Tyler H. , Hughes Brent L. 
Published: May 2023

People experience instances of social feedback as interdependent with potential implications for their entire self-concept. How do people maintain positivity and coherence across the self-concept while updating self-views from feedback? We present a network model describing how the brain represents the semantic dependency relations among traits and uses this information to avoid an overall loss of positivity and coherence. Both male and female human participants received social feedback during a self-evaluation task while undergoing functional magnetic resonance imaging. We modeled self-belief updating by incorporating a reinforcement learning model within the network structure. Participants learned more rapidly from positive than negative feedback and were less likely to change self-views for traits with more dependencies in the network. Further, participants back propagated feedback across network relations while retrieving prior feedback on the basis of network similarity to inform ongoing self-views. Activation in ventromedial prefrontal cortex (vmPFC) reflected the constrained updating process such that positive feedback led to higher activation and negative feedback to less activation for traits with more dependencies. Additionally, vmPFC was associated with the novelty of a trait relative to previously self-evaluated traits in the network, and angular gyrus was associated with greater certainty for self-beliefs given the relevance of prior feedback. We propose that neural computations that selectively enhance or attenuate social feedback and retrieve past relevant experiences to guide ongoing self-evaluations may support an overall positive and coherent self-concept.SIGNIFICANCE STATEMENTWe humans experience social feedback throughout our lives, but we do not dispassionately incorporate feedback into our self-concept. The implications of feedback for our entire self-concept plays a role in how we either change or retain our prior self-beliefs. In a neuroimaging study, we find that people are less likely to change their beliefs from feedback when the feedback has broader implications for the self-concept. This resistance to change is reflected in processing in the ventromedial prefrontal cortex, a region that is central to self-referential and social cognition. These results are broadly applicable given the role that maintaining a positive and coherent self-concept plays in promoting mental health and development throughout the lifespan.
eIF3 mRNA selectivity profiling reveals eIF3k as a cancer‐relevant regulator of ribosome content
Authors: Duan Haoran , Zhang Siqiong , Zarai Yoram , Öllinger Rupert , Wu Yanmeng , Sun Li , Hu Cheng , He Yaohui , Tian Guiyou , Rad Roland , Kong Xiangquan , Cheng Yabin , Tuller Tamir , Wolf Dieter A 
Published: May 2023

AbstracteIF3, whose subunits are frequently overexpressed in cancer, regulates mRNA translation from initiation to termination, but mRNA‐selective functions of individual subunits remain poorly defined. Using multiomic profiling upon acute depletion of eIF3 subunits, we observed that while eIF3a, b, e, and f markedly differed in their impact on eIF3 holo‐complex formation and translation, they were each required for cancer cell proliferation and tumor growth. Remarkably, eIF3k showed the opposite pattern with depletion promoting global translation, cell proliferation, tumor growth, and stress resistance through repressing the synthesis of ribosomal proteins, especially RPS15A. Whereas ectopic expression of RPS15A mimicked the anabolic effects of eIF3k depletion, disruption of eIF3 binding to the 5′‐UTR of RSP15A mRNA negated them. eIF3k and eIF3l are selectively downregulated in response to endoplasmic reticulum and oxidative stress. Supported by mathematical modeling, our data uncover eIF3k‐l as a mRNA‐specific module which, through controlling RPS15A translation, serves as a rheostat of ribosome content, possibly to secure spare translational capacity that can be mobilized during stress.
Fuel oxidation under the control of mitochondrial shape and dynamics
Authors: Seifert Erin L , Hajnóczky György 
Published: May 2023

How mitochondrial shape and substrate‐specific metabolism are related has been a difficult question to address. Here, new work by Ngo et al (2023) reports that mitochondrial shape—long versus fragmented—determines the activity of β‐oxidation of long‐chain fatty acids, supporting a novel role for mitochondrial fission products as β‐oxidation hubs.
Skeletal muscle delimited myopathy and verapamil toxicity in SUR2 mutant mouse models of AIMS
Authors: McClenaghan Conor , Mukadam Maya A , Roeglin Jacob , Tryon Robert C , Grabner Manfred , Dayal Anamika , Meyer Gretchen A , Nichols Colin G 
Published: May 2023

AbstractABCC9‐related intellectual disability and myopathy syndrome (AIMS) arises from loss‐of‐function (LoF) mutations in the ABCC9 gene, which encodes the SUR2 subunit of ATP‐sensitive potassium (KATP) channels. KATP channels are found throughout the cardiovascular system and skeletal muscle and couple cellular metabolism to excitability. AIMS individuals show fatigability, muscle spasms, and cardiac dysfunction. We found reduced exercise performance in mouse models of AIMS harboring premature stop codons in ABCC9. Given the roles of KATP channels in all muscles, we sought to determine how myopathy arises using tissue‐selective suppression of KATP and found that LoF in skeletal muscle, specifically, underlies myopathy. In isolated muscle, SUR2 LoF results in abnormal generation of unstimulated forces, potentially explaining painful spasms in AIMS. We sought to determine whether excessive Ca2+ influx through CaV1.1 channels was responsible for myopathology but found that the Ca2+ channel blocker verapamil unexpectedly resulted in premature death of AIMS mice and that rendering CaV1.1 channels nonpermeable by mutation failed to reverse pathology; results which caution against the use of calcium channel blockers in AIMS.
Prevalence and Risk Factors of Isolated Systolic Hypertension among Diabetes Mellitus Subjects; a national cross-sectional study in Indonesia
Authors: Azam Mahalul , Hidayati Fetty Nur , Fibriana Arulita Ika , Bahrudin Udin , Aljunid Syed Mohamed 
Published: May 2023

Isolated systolic hypertension (ISH) reflects atherosclerosis. Studies reported hypertension prevalence among diabetes mellitus (DM); however, limited studies provided community prevalence. Present study aimed to explore ISH prevalence among DM in Indonesia. This study obtained data from the 2018 Indonesian basic health survey. The DM category was determined by fasting plasma glucose (PG) level ≥126 mg/dL or 2-hours postprandial and random PG level ≥200 mg/dL or previously diagnosed by a doctor. ISH is categorized if systolic blood pressure is≥140 mmHg and diastolic blood pressure is 90 mmHg. This study also explored the subject's determinants, i.e., compliance, demography, and lipid profile. A Chi-square and Binary logistic regression were used to determine the association. The study included 3,911 DM individuals and disclosed the prevalence of ISH 17.5%. ≥65 years old (OR=13.61 95%CI: 3.297-19.365) and 45-64 years old OR=4.59 95%CI: 3.297-6.383)), high HDL-cholesterol (OR=0.77; 95%CI: 0.626-0.936), and longer DM duration (OR=2.89; 95%CI: 2.405-3.474), all together were related to the ISH. Subjects with the oldest age category, i.e., ≥65 years old, had the highest OR. Older DM individuals with low HDL-C and longer DM duration were related to the ISH, suggesting lipid profile treatments, mainly the HDL-C, is a pivotal effort to delay ISH.