bluuebunny/crossref_metadata_2025_split huggingface dataset:
How do students use their ethical compasses during internship? An empirical study among students of universities of applied sciences
Authors: Van Stekelenburg Lieke , Smerecnik Chris , Sanderse Wouter , de Ruyter Doret J. 
Published: February 2023

AbstractThe aim of this empirical study is to understand how bachelor students at universities of applied sciences (UAS) use their ethical compasses during internships. Semi-structured interviews were held with 36 fourth-year bachelor students across four UAS and three different programs in the Netherlands: Initial Teacher Education, Business Services, and Information and Communication Technology. To our knowledge, no studies appear to have investigated and compared students from multiple professional fields, nor identified the dynamics and the sequence of the strategies in the decision-making process that students use when faced with ethical dilemmas during internships. We found that students’ ethical dilemmas stemmed from: mentors’ or managers’ behaviours/requests, colleagues’ behaviours, organisations’ morally questionable incentives, pupils’ home situations, and pupils’ behaviours/personal stories. The majority of students used multiple strategies and first investigated the ethical dilemmas they encountered and then avoided, intervened, delegated responsibilities, or adjusted to their environments. Students’ values played an important role in experiencing an ethical dilemma, however, these values were not always acted upon. We identified that rather students’ beliefs about having influence and/or ownership (or not), personal interest(s) and power relations influenced the way how they used their ethical compasses. Thus, instead of navigating on moral standards (of their profession), students reacted on beliefs which reflected the ways in which they constructed their internship contexts, social relationships and their own (and others) needs. As a result, half of the mentioned dilemmas were resolved in a prudent-strategic manner (e.g., by prioritising personal interests), instead of morally. This indicates that students did not always convert (moral) values into moral action and did not use their ethical compasses in the way UAS aspires. Finally, this study found that the ways in which students used their ethical compasses were strongly influenced by their environments.
High-precision controller using LMI method for three-axis flexible satellite attitude stabilisation
Authors: Eddine B.J. , Boulanouar K. , Elhassen B. 
Published: February 2023

AbstractThis paper considers the problem of a three-axis flexible satellite attitude stabilisation subject to the vibration of flexible appendages and external environmental disturbances, which affect the rigid body motion. To solve this problem, a disturbance observer is proposed to estimate and thereby reject the flexible appendage vibration. Based on the H∞ and Linear Matrix Inequality (LMI) approach, a controller for spacecraft with flexible appendages is proposed to ensure robustness as well as attitude stability with high precision. Stability analysis of the overall closed-loop system is provided via the Lyapunov method. The simulation results of three-axis flexible spacecraft demonstrate the robustness and effectiveness of the proposed method.
Engines of power: Electricity, AI, and general-purpose, military transformations
Authors: Ding Jeffrey , Dafoe Allan 
Published: February 2023

AbstractMajor theories of military innovation focus on relatively narrow technological developments, such as nuclear weapons or aircraft carriers. Arguably the most profound military implications of technological change, however, come from more fundamental advances arising from ‘general-purpose technologies’ (GPTs), such as the steam engine, electricity, and the computer. Building from scholarship on GPTs and economic growth, we argue that the effects of GPTs on military effectiveness are broad, delayed, and shaped by indirect productivity spillovers. We label this impact pathway a ‘general-purpose military transformation’ (GMT). Contrary to studies that predict GPTs will rapidly diffuse to militaries around the world and narrow gaps in capabilities, we show that GMTs can reinforce existing balances if leading militaries have stronger linkages to a robust industrial base in the GPT than challengers. Evidence from electricity's impact on military affairs, covering the late nineteenth and early twentieth centuries, supports our propositions about GMTs. To probe the explanatory value of our theory and account for alternative interpretations, we compare findings from the electricity case to the military impacts of submarine technology, a non-GPT that emerged in the same period. Finally, we apply our findings to contemporary debates about artificial intelligence, which could plausibly cause a profound GMT.
Scalable interventions for refugees
Authors: Bryant Richard A. 
Published: February 2023

Abstract
Refugees experience a greater rate of common mental disorders relative to most other populations, and there remains a need to address these needs. However, most refugees are hosted in low-and-middle-income countries, where there is a lack of resources and mental health providers who can deliver mainstream mental health services. This situation has led to the emergence of scalable mental health interventions that can deliver evidence-based programs to refugees in need. Many countries hosting refugees have implemented programs that train local lay providers in interventions that can be delivered at scale. This review provides a narrative overview of these scalable interventions and critiques the evidence for their efficacy. It is noted that there are limitations to currently available scalable interventions, and there is a need for greater attention to determining the longer-term benefits of interventions, addressing the mental health needs of refugees who do not respond to these interventions, assisting refugees with more severe psychological disorders, and understanding the specific mechanisms that underpin observed benefits of these interventions.
On Tournaments and negative dependence
Authors: Malinovsky Yaakov , Rinott Yosef 
Published: February 2023

AbstractNegative dependence of sequences of random variables is often an interesting characteristic of their distribution, as well as a useful tool for studying various asymptotic results, including central limit theorems, Poisson approximations, the rate of increase of the maximum, and more. In the study of probability models of tournaments, negative dependence of participants’ outcomes arises naturally, with application to various asymptotic results. In particular, the property ofnegative orthant dependencewas proved in several articles for different tournament models, with a special proof for each model. In this note we unify these results by proving a stronger property,negative association, a generalization leading to a very simple proof. We also present a natural example of a knockout tournament where the scores are negatively orthant dependent but not negatively associated. The proof requires a new result on a preservation property of negative orthant dependence that is of independent interest.
An improved method for isolating camallanid (Nematoda) spicules for scanning electron microscopy
Authors: Nofal A.P. , Dos Santos Q.M. , Avenant-Oldewage A. 
Published: February 2023

Abstract
In nematodes, the structure of male copulatory organs is a significant taxonomic distinguisher and includes the morphometry of the spicules. The description of these structures mainly relies on the study of whole mounts using light microscopy. In rare instances, protruding spicules have been described with scanning electron microscopy. Even fewer studies have described the ultrastructure of isolated spicules following their isolation. In the present study, two different methods of spicule isolation were performed on two parasitic camallanid nematodes, Procamallanus (Procamallanus) pseudolaeviconchus Moravec & van As, 2015 and Paracamallanus cyathopharynx (Baylis, 1923), from African sharptooth catfish to determine the practicality and efficiency of the methodologies. The first method involved using sharpened tungsten needles and microdissection of the spicule pouch to free the spicules, followed by soft tissue digestion if necessary. Alternatively, the spicules were isolated through mechanical release instead of dissection in a method developed in the current study. This involved freeing the spicules from surrounding soft tissue by placing live specimens between a coverslip and a glass slide in a drop of water and exerting pressure with small rotational movements. Both methods yielded favourable results, but Method 2 is recommended for future studies due to the many advantages.
THE MISSING LOGIC: TRACES OF A LOST BOOK ON HYPOTHETICAL SYLLOGISTIC IN AVICENNA'S RISĀLA MŪǦAZA FĪ UṢŪL AL-MANṬIQ
Authors: Di Vincenzo Silvia 
Published: February 2023

AbstractDo Avicenna’s extant works preserve any trace of his now-lost early philosophical production? This paper considers a hitherto neglected text, namely the chapter “On Hypothetical Propositions” from Avicenna’s “Concise Treatise on the Principles of Logic” (Risāla mūǧaza fī uṣūl al-manṭiq, henceforth: RM). The new evidence offered by the RM chapter in question will lead to a different reading of another well-known passage of Avicenna’s reworking of Aristotle’s Prior Analytics (Qiyās) from the “Book of Healing” (Kitāb al-šifāʾ). The clues gathered from an analysis of these two works will finally lead us to ponder the possibility that Avicenna may in fact have composed a (now lost) work on hypothetical propositions and syllogisms. Since Avicenna’s RM is to date unedited, an edition, as well as an English translation of the relevant chapter, is also provided in the Appendix of this paper.
The Role of the Quasi 5‐Day Wave on the Onset of Polar Mesospheric Cloud Seasons in the Northern Hemisphere
Authors: Thurairajah Brentha , Bailey Scott M. , Harvey V. Lynn , Randall Cora E. , France Jeff A. 
Published: February 2023

AbstractThe quasi 5‐day wave (Q5DW) with zonal wavenumber 1 is a dominant planetary wave (PW) oscillation in the polar summer mesospheric temperature and polar mesospheric cloud (PMC) fields. In this paper, the Q5DW signal derived from 16 years (2007–2022) of Microwave Limb Sounder temperature observations is used to investigate the role of this PW mode on the onset of PMC seasons in the northern hemisphere (NH). PMC data from the Cloud Imaging and Particle Size (CIPS) instrument during this time indicates that NH PMC season onsets ranged from 15 to 28 May, with earliest onsets in 2013, 2015, 2019, 2020, 2021, and 2022. Except 2013 and 2022, the other four earlier onsets were also characterized by enhanced Q5DW activity. The wave amplification appears to be driven by baroclinic instability arising from the negative meridional gradient of potential vorticity in the high‐latitude summer mesosphere. CIPS data show that when the Q5DW was present at the beginning of the season, clouds formed preferentially in the cold troughs of the wave. We thus propose that the much colder troughs due to enhanced Q5DW activity in mid‐May of 2015, 2019, 2020, and 2021 influenced the timing of PMC onset in these years. While the 11‐year solar cycle, inter‐ and intra‐hemispheric coupling due to gravity wave and PW activity have been shown to contribute to earlier onset of PMC seasons in the NH, our analysis suggests that enhanced Q5DW activity also plays a major role.
Efficient Optimization of Energy Recovery From Geothermal Reservoirs With Recurrent Neural Network Predictive Models
Authors: Qin Zhen , Jiang Anyue , Faulder Dave , Cladouhos Trenton T. , Jafarpour Behnam 
Published: February 2023

AbstractImproving the long‐term energy production performance of geothermal reservoirs can be accomplished by optimizing field development and management plans. Reliable prediction models, however, are needed to evaluate and optimize the performance of the underlying reservoirs under various operation and development strategies. In traditional frameworks, physics‐based simulation models are used to predict the energy production performance of geothermal reservoirs. However, detailed simulation models are not trivial to construct, require a reliable description of the reservoir conditions and properties, and entail high computational complexity. Data‐driven predictive models can offer an efficient alternative for use in optimization workflows. This paper presents an optimization framework for net power generation in geothermal reservoirs using a variant of the recurrent neural network (RNN) as a data‐driven predictive model. The RNN architecture is developed and trained to replace the simulation model for computationally efficient prediction of the objective function and its gradients with respect to the well control variables. The net power generation performance of the field is optimized by automatically adjusting the mass flow rate of production and injection wells over 12 years, using a gradient‐based local search algorithm. Two field‐scale examples are presented to investigate the performance of the developed data‐driven prediction and optimization framework. The prediction and optimization results from the RNN model are evaluated through comparison with the results obtained by using a numerical simulation model of a real geothermal reservoir.
Formyl peptide receptor 2 is an emerging modulator of inflammation in the liver
Authors: Lee Chanbin , Han Jinsol , Jung Youngmi 
Published: February 2023

AbstractFormyl peptide receptors (FPRs), which are seven-membrane G-protein coupled receptors, recognize chemotactic signals to protect hosts from pathogenic infections and mediate inflammatory responses in the body. There are three isoforms of FPRs in humans—FPR1, FPR2, and FPR3—and they bind to N-formyl peptides, except FPR3, and to various endogenous agonists. Among FPR family members, FPR2 has a lower affinity for N-formyl peptides than FPR1 and binds with a wide range of endogenous or exogenous agonists. Thus, FPR2 is considered the most ambiguous member. Accumulating evidence has shown that FPR2 is involved in the host’s defense against bacterial infection and inflammation in liver diseases, such as nonalcoholic fatty liver disease, liver fibrosis, and liver cancer, suggesting the pathophysiological relevance of FPR2 to the liver. However, FPR2 has been shown to promote or suppress inflammation, depending on the type of FPR2-expressing cell and FPR2-bound ligands in the liver. Therefore, it is important to understand FPR2’s function per se and to elucidate the mechanism underlying immunomodulation initiated by ligand-activated FPR2 before suggesting FPR2 as a novel therapeutic agent for liver diseases. In this review, up-to-date knowledge of FPR2, with general information on the FPR family, is provided. We shed light on the dual action of FPR2 in the liver and discuss the hepatoprotective roles of FPR2 itself and FPR2 agonists in mediating anti-inflammatory responses.
Novel optical soliton molecules formed in a fiber laser with near-zero net cavity dispersion
Authors: Hu Xiao , Guo Jun , Wang Jun , Ma Jie , Zhao Luming , Yoo Seongwoo , Tang Dingyuan 
Published: February 2023

AbstractSoliton molecules (SMs) are stable bound states between solitons. SMs in fiber lasers are intensively investigated and embody analogies with matter molecules. Recent experimental studies on SMs formed by bright solitons, including soliton-pair, soliton-triplet or even soliton-quartet molecules, are intensive. However, study on soliton-binding states between bright and dark solitons is limited. In this work, the formation of such novel SMs in a fiber laser with near-zero group velocity dispersion (ZGVD) is reported. Physically, these SMs are formed because of the incoherent cross-phase modulation of light and constitute a new form of SMs that are conceptually analog to the multi-atom molecules in chemistry. Our research results could assist the understanding of the dynamics of large SM complexes. These findings may also motivate potential applications in large-capacity transmission and all-optical information storage.
Visualizing hypoxic modulation of beta cell secretions via a sensor augmented oxygen gradient
Authors: Duan Kai , Zhou Mengyang , Wang Yong , Oberholzer Jose , Lo Joe F. 
Published: February 2023

AbstractOne distinct advantage of microfluidic-based cell assays is their scalability for multiple concentrations or gradients. Microfluidic scaling can be extremely powerful when combining multiple parameters and modalities. Moreover, in situ stimulation and detection eliminates variability between individual bioassays. However, conventional microfluidics must combat diffusion, which limits the spatial distance and time for molecules traveling through microchannels. Here, we leveraged a multilayered microfluidic approach to integrate a novel oxygen gradient (0–20%) with an enhanced hydrogel sensor to study pancreatic beta cells. This enabled our microfluidics to achieve spatiotemporal detection that is difficult to achieve with traditional microfluidics. Using this device, we demonstrated the in situ detection of calcium, insulin, and ATP (adenosine triphosphate) in response to glucose and oxygen stimulation. Specifically, insulin was quantified at levels as low as 25 pg/mL using our imaging technique. Furthermore, by analyzing the spatial detection data dynamically over time, we uncovered a new relationship between oxygen and beta cell oscillations. We observed an optimum oxygen level between 10 and 12%, which is neither hypoxic nor normoxic in the conventional cell culture sense. These results provide evidence to support the current islet oscillator model. In future applications, this spatial microfluidic technique can be adapted for discrete protein detection in a robust platform to study numerous oxygen-dependent tissue dysfunctions.
p53 promotes peroxisomal fatty acid β-oxidation to repress purine biosynthesis and mediate tumor suppression
Authors: Zhao Jianhong , Zhou Xiaojun , Chen Baoxiang , Lu Mingzhu , Wang Genxin , Elumalai Nagarajan , Tian Chenhui , Zhang Jinmiao , Liu Yanliang , Chen Zhiqiang , Zhou Xinyi , Wu Mingzhi , Li Mengjiao , Prochownik Edward V. , Tavassoli Ali , Jiang Congqing , Li Youjun 
Published: February 2023

AbstractThe metabolic pathways through which p53 functions as a potent tumor suppressor are incompletely understood. Here we report that, by associating with the Vitamin D receptor (VDR), p53 induces numerous genes encoding enzymes for peroxisomal fatty acid β-oxidation (FAO). This leads to increased cytosolic acetyl-CoA levels and acetylation of the enzyme 5-Aminoimidazole-4-Carboxamide Ribonucleotide Formyltransferase/IMP Cyclohydrolase (ATIC), which catalyzes the last two steps in the purine biosynthetic pathway. This acetylation step, mediated by lysine acetyltransferase 2B (KAT2B), occurs at ATIC Lys 266, dramatically inhibits ATIC activity, and inversely correlates with colorectal cancer (CRC) tumor growth in vitro and in vivo, and acetylation of ATIC is downregulated in human CRC samples. p53-deficient CRCs with high levels of ATIC is more susceptible to ATIC inhibition. Collectively, these findings link p53 to peroxisomal FAO, purine biosynthesis, and CRC pathogenesis in a manner that is regulated by the levels of ATIC acetylation.
Nickel-catalyzed divergent Mizoroki–Heck reaction of 1,3-dienes
Authors: Zhang Wei-Song , Ji Ding-Wei , Li Ying , Zhang Xiang-Xin , Mei Yong-Kang , Chen Bing-Zhi , Chen Qing-An 
Published: February 2023

AbstractDeveloping efficient strategies to realize divergent arylation of dienes has been a long-standing synthetic challenge. Herein, a nickel catalyzed divergent Mizoroki–Heck reaction of 1,3-dienes has been demonstrated through the regulation of ligands and additives. In the presence of Mn/NEt3, the Mizoroki–Heck reaction of dienes delivers linear products under Ni(dppe)Cl2catalysis in high regio- and stereoselectivities. With the help of catalytic amount of organoboron and NaF, the use of bulky ligand IPr diverts the selectivity from linear products to branched products. Highly aryl-substituted compounds can be transformed from dispersive Mizoroki–Heck products programmatically. Preliminary experimental studies are carried out to elucidate the role of additives.
DNA-Aeon provides flexible arithmetic coding for constraint adherence and error correction in DNA storage
Authors: Welzel Marius , Schwarz Peter Michael , Löchel Hannah F. , Kabdullayeva Tolganay , Clemens Sandra , Becker Anke , Freisleben Bernd , Heider Dominik 
Published: February 2023

AbstractThe extensive information capacity of DNA, coupled with decreasing costs for DNA synthesis and sequencing, makes DNA an attractive alternative to traditional data storage. The processes of writing, storing, and reading DNA exhibit specific error profiles and constraints DNA sequences have to adhere to. We present DNA-Aeon, a concatenated coding scheme for DNA data storage. It supports the generation of variable-sized encoded sequences with a user-defined Guanine-Cytosine (GC) content, homopolymer length limitation, and the avoidance of undesired motifs. It further enables users to provide custom codebooks adhering to further constraints. DNA-Aeon can correct substitution errors, insertions, deletions, and the loss of whole DNA strands. Comparisons with other codes show better error-correction capabilities of DNA-Aeon at similar redundancy levels with decreased DNA synthesis costs. In-vitro tests indicate high reliability of DNA-Aeon even in the case of skewed sequencing read distributions and high read-dropout.
Myristic acid as a checkpoint to regulate STING-dependent autophagy and interferon responses by promoting N-myristoylation
Authors: Jia Mutian , Wang Yuanyuan , Wang Jie , Qin Danhui , Wang Mengge , Chai Li , Fu Yue , Zhao Chunyuan , Gao Chengjiang , Jia Jihui , Zhao Wei 
Published: February 2023

AbstractStimulator of interferon gene (STING)-triggered autophagy is crucial for the host to eliminate invading pathogens and serves as a self-limiting mechanism of STING-induced interferon (IFN) responses. Thus, the mechanisms that ensure the beneficial effects of STING activation are of particular importance. Herein, we show that myristic acid, a type of long-chain saturated fatty acid (SFA), specifically attenuates cGAS-STING-induced IFN responses in macrophages, while enhancing STING-dependent autophagy. Myristic acid inhibits HSV-1 infection-induced innate antiviral immune responses and promotes HSV-1 replication in mice in vivo. Mechanistically, myristic acid enhances N-myristoylation of ARF1, a master regulator that controls STING membrane trafficking. Consequently, myristic acid facilitates STING activation-triggered autophagy degradation of the STING complex. Thus, our work identifies myristic acid as a metabolic checkpoint that contributes to immune homeostasis by balancing STING-dependent autophagy and IFN responses. This suggests that myristic acid and N-myristoylation are promising targets for the treatment of diseases caused by aberrant STING activation.