bluuebunny/crossref_metadata_2025_split huggingface dataset:
When your neighbor becomes a threat
Authors: Pakkala-Weckström Mari 
Published: October 2023

Abstract
This paper analyzes how a series of online COVID-19-related discussions in a public social media group divided a
community consisting of part-time and permanent residents. The group is a general discussion forum aimed at the inhabitants of a
relatively small Finnish municipality. The discussions took place in March-April 2020, and the recurring topic was the potential
danger posed by holiday home owners, who permanent residents feared would bring the virus with them. The discussions escalated
quickly, and several threads went on simultaneously for some weeks. In the discussions, an ingroup and an outgroup were instantly
formed. The material is analyzed from the point of view of categorization analysis, hate speech and metapragmatics. I examine the
course of the discussions, and topics such as responsible behavior, health, and money. In
addition, I also examine the metapragmatic utterances and sequences, which steadily increased during the discussions, and take a
critical stance toward them. The research method employed will be qualitative content analysis.
CA and/or EDTA functionalized magnetic iron oxide nanoparticles by oxidative precipitation from FeCl2 solution: structural and magnetic study
Authors: Milić Mirjana M , Jović Orsini Nataša , Markovic Smilja 
Published: October 2023

Abstract
Four samples containing magnetic iron oxide nanoparticles (MIONs) of various sizes are prepared employing a simple low-temperature method of oxidative precipitation from FeCl2∙4H2O–NaOH–NaNO3 aqueous solution. For the preparation of two samples, the usual oxidation-precipitation synthesis protocol is modified by using ethylenediaminetetraacetic acid (EDTA) chelating agent as a stabilizer of the Fe2+ ions in a solution, which results in the partial capping of the prepared MIONs with EDTA molecules. Three out of four samples are subjected to citric acid (CA) functionalization in the post synthesis protocol. Structural and magnetic properties of the synthesized MIONs are assessed using various experimental techniques (XRD, TEM, Fourier transform infrared, dynamic light scattering, Mössbauer, and SQUID). The average size of spherical-like MIONs is tuned from 7 nm to 38 nm by changing the synthesis protocol. Their room temperature saturation magnetization, M
s, is in the range of 43 to 91 emu g−1. Magnetic heating ability, expressed via specific absorption rate value, which ranges from 139 to 390 W/gFe, is discussed in relation to their structural and magnetic properties and the possible energy dissipation mechanisms involved. The best heating performance is exhibited by the sample decorated with EDTA and with a bimodal size distribution with average particle sizes of 14 and 37 nm and M
s = 87 emu g−1. Though this sample contains particles prone to form aggregates, capping with EDTA provides good colloidal stability of this sample, thus preserving the magnetic heating ability. It is demonstrated that two samples, consisting of 7 nm-sized CA- or 14 nm-sized EDTA/CA-functionalized superparamagnetic MIONs, with a similar hydrodynamic radius, heat in a very similar way in the relatively fast oscillating alternating current magnetic field, f = 577 kHz.
2D photonic crystal biosensing platform based on coupled defective ring-shaped microcavity-two waveguides for diabetes detection using human tears
Authors: Tayoub Hadjira , Harhouz Ahlam , Hocini Abdesselam 
Published: October 2023

Abstract
This paper describes a two modes refractive index sensor based on photonic crystals (PhCs) for detecting diabetes in human tears samples. PhC-based biosensors are promising platforms to detect the analyte due to their high sensitivity and selectivity, low cost, and can be easily integrated with other electrical components. The proposed PhC biosensor consists of two waveguides coupled with one defective ring-shaped microcavity, the microcavity was created by removing seven lattice holes and shifting the inner ring-shaped hole vertically down by 0.45a, the whole microcavity system is separated from the two waveguides by three holes. The achieved sensitivity for this device comes out to be 659.83 nm RIU−1. The Q-factor, figure of merit (FOM), and limit of detection (LOD) were about 106, 106 RIU−1,and 10−7 RIU respectively. In general, our results revealed that the proposed device has appreciable potential to be used as a powerful tool to detect diabetes using tears. Furthermore, the proposed biosensor can be used as an alternative to painful pinpricks for diabetes testing. A brief comparison between the presented design and related literatures for detecting diabetes using refractive index biosensors is made to ensure effectiveness and the validity of the proposed biosensor. The high performance and simple design of the proposed biosensor make it a suitable candidate for bio-sensing applications.
Effect of thickness on nonlinear optical properties of EZO thin films
Authors: Sharma Chetan , Barala Monika , Endale Getu , Kumari Vinay , Mohan Devendra 
Published: October 2023

Abstract
In the present work, the effect of thickness on the nonlinear optical properties of Erbium-doped zinc oxide (EZO) films has been investigated. Erbium-doped zinc oxide (EZO-doping concentration of 0.4 wt%) ‘thin films’ of variable thickness were prepared by a spin coating method. The film thickness varied from 92–365 nm. EZO (0.4 wt%) samples were analyzed using Scanning Electron Microscopy (SEM), UV–vis-NIR spectroscopy, and x-ray diffraction (XRD). The z-scan method was applied to measure non-linearity for closed and open aperture configurations. The deposited films were found to have a significant growth orientation along the plane of (002). The deposited films satisfy two-photon absorption as indicated by the minus sign of n2. The values of third-order nonlinear optical susceptibility for the EZO (0.4 wt%) thin film sample were found in the range of 10–6 esu. The Erbium-doped ZnO (0.4 wt%) sample exhibited the best nonlinear behavior at a thickness of 280 nm (β = 8.90 × 10–6 cm W−1, n2 = −5.29 × 10–5 esu, (3) = 14.7 × 10–6 esu). The samples under investigation should pave the path for designing high-order optical limiter devices.
Dispersion-dependent superluminal propagation and photon drag in GaAs/AlGaAs quantum dot molecule
Authors: Bashir Azmat Iqbal , Batool Syeda Uzma , Arif Ayesha , Shazad Asim 
Published: October 2023

Abstract
Controlling the basic properties of light such as polarization, angular momentum, and speed through various optical media leads to interesting phenomena in various fields such as quantum optics, photonics, plasmonics, and quantum information technology. Few of the phenomenon include, for instance, light storage, ultra-slow and ultra-fast propagation, optical transparency, and quantum entanglement via quantum coherence or superposition. The understanding of these phenomenon of milestone implications paved the way for the invention of novel classical and quantum technology. In this article, we present detailed theoretical and numerical demonstration on the dispersion-dependent phenomenon of slow and fast light, optically induced transparency, and photon drag. For this, we employ a three-level scheme of an ensemble of GaAs\AlGaAs double quantum dot molecule in cascade configuration. In particular, by tuning the medium dispersion we predict interesting interplay between ultra-slow and ultra-fast light propagation with vanishing, infinite, ultra-positive and ultra-negative group velocities, and optical-assisted quantum transparency. The quantum coherence of the dressed states modifies considerably the optical properties of the system in view of dispersion, absorption, electron energy loss, transmission, and photon drag. An interesting interplay between ultra-slow to ultra-fast propagation is found by tuning various optical parameters. The calculated superluminal value of group velocity is

±
6
×

1
0

11

m s−1. We also predict light propagation at vanishing and infinite group velocity. The calculated light drag is

±
6
×

10

−
6

rad/m.
Development of a nanosecond high voltage pulser based on Semiconductor Opening Switch
Authors: Zhu Jianbin , Lin Munan , Li Haibo , Zhang Wenqing , Liu Yuntao , Qi Xin 
Published: October 2023

Abstract
Nanosecond pulser is widely used in beam injection and
extraction. Semiconductor Opening Switch (SOS) is a type of high
voltage diode with P+-P-N-N+ semiconductor structure,
which has a great application prospect in pulse power technology for
its notably short switching-off time, high repetition rate and large
working current. The cutoff time of the SOS is dependent on the
duration and amplitude of the pumping current, which may reach
thousands of amperes. A two-stage magnetic compression pumping
circuit without external demagnetization cicuits is proposed to meet
the operational requirements of SOS. The circuit was simulated by
Pspice, which confirmed the principle of the circuit. A prototype of
the pulser was constructed based on the simulation analysis. The
experiments indicated that the reverse pumping current with
amplitude of 460 A and duration of 18 ns, and a 16 kV, duration
of 14 ns pulse was generated on the load of 50 Ω. The
design, simulation and the test results of the nanosecond high
voltage pulser are presented in the paper.
R2D2 TPC: first Xenon results
Authors: Bouet R. , Busto J. , Cecchini V. , Cerna C. , Charpentier P. , Chapellier M. , Dastgheibi-Fard A. , Druillole F. , Jollet C. , Hellmuth P. , Gros M. , Lautridou P. , Meregaglia A. , Navick X.F. , Piquemal F. , Popieul F. , Roche M. , Savvidis I. , Thomas B. 
Published: October 2023

Abstract
Radial time projection chambers (TPC), already employed in
the search for rare phenomena such as light Dark Matter candidate,
could provide a new detection approach for the search of
neutrinoless double beta decay (ββ0ν). The assessment of
the performances of such a detector for ββ0ν search is
indeed the goal of the Rare Decays with Radial Detector (R2D2)
R&D. Promising results operating a spherical TPC with argon up to
1 bar have been published in 2021. Supplementary measurements were
recently taken extending the gas pressure range up to 3 bar. In
addition, a comparison between two detector geometries, namely
spherical (SPC for spherical proportional counter) and cylindrical
(CPC for cylindrical proportional counter), was performed. Using a
relatively simple gas purification system the CPC detector was also
operated with xenon at 1 bar: an energy resolution of 1.4%
full-width at half-maximum was achieved for drift distances up to
17 cm. Much lower resolution was observed with the SPC. These
results are presented in this article.
Alcohol and cancer: a denied association the statement of the Italian society on alcohol (Società Italiana di Alcologia—SIA)
Authors: Testino Gianni , Scafato Emanuele , Patussi Valentino , Balbinot Patrizia , Ghiselli Andrea , Caputo Fabio 
Published: October 2023

Abstract
Alcohol consumption (AC) is carcinogenic to humans. The Italian Society on Alcohol (Società Italiana di Alcologia) defines excessive AC as anything greater than zero. It is not appropriate to associate AC with cardiovascular disease prevention. This is for prudence and to protect public health. It also asks to include information on alcohol labels that AC is associated with cancer.
The effect of privacy on market structure and prices
Authors: Bird Daniel , Neeman Zvika 
Published: October 2023

Abstract
Protection of consumers’ privacy is often motivated by the fear that, without it, consumers may be exploited via personalized pricing. We explain how privacy may affect prices in search markets through a different channel, namely, the effect privacy has on market structure. If privacy is not protected, then in addition to consumer search, firms may engage in targeted advertising. We show that privacy protection reduces consumer surplus if firms price discriminates between the search and advertising markets. Absent such discrimination, privacy protection increases consumer surplus only if the advertising market is large and noncompetitive. We relate our results to the “privacy paradox.”
Decoding effects of psychoactive drugs in a high-dimensional space of eye movements in monkeys
Authors: Liu Xu , Cheng Zhixian , Lin He , Tan Jiangxiu , Chen Wenyao , Bao Yichuan , Liu Ying , Zhong Lei , Yao Yitian , Wang Liping , Wang Jijun , Gu Yong 
Published: October 2023

ABSTRACT
Oculomotor behavior has been shown to be correlated with mental disorders in clinics, making it promising for disease diagnosis. Here we developed a thorough oculomotor test toolkit, involving saccade, smooth pursuit, and fixation, allowing the examination of multiple oculomotor parameters in monkey models induced by psychoactive drugs. Eye movements were recorded after daily injections of phencyclidine (PCP) (3.0 mg/kg), ketamine (0.8 mg/kg) or controlled saline in two macaque monkeys. Both drugs led to robust reduction in accuracy and increment in reaction time during high cognitive-demanding tasks. Saccades, smooth pursuit, and fixation stability were also significantly impaired. During fixation, the involuntary microsaccades exhibited increased amplitudes and were biased toward the lower visual field. Pupillary response was reduced during cognitive tasks. Both drugs also increased sensitivity to auditory cues as reflected in auditory evoked potentials (AEPs). Thus, our animal model induced by psychoactive drugs produced largely similar abnormalities to that in patients with schizophrenia. Importantly, a classifier based on dimension reduction and machine learning could reliably identify altered states induced by different drugs (PCP, ketamine and saline, accuracy = 93%). The high performance of the classifier was reserved even when data from one monkey were used for training and testing the other subject (averaged classification accuracy = 90%). Thus, despite heterogeneity in baseline oculomotor behavior between the two monkeys, our model allows data transferability across individuals, which could be beneficial for future evaluation of pharmaceutical or physical therapy validity.
Diversifying faculty recruitment in biomedical sciences
Authors: Yassa Michael A. , Edinger Aimee L. 
Published: October 2023

AbstractA wealth of data has consistently demonstrated that a diverse faculty maximizes productivity and innovation in the research enterprise and increases the persistence and success of groups that are underrepresented in STEM. While the diversity of students in graduate programs has steadily increased, faculty diversity, particularly in the biomedical sciences, continues to remain relatively flat. Several issues contribute to this mismatch between the pipeline and the professoriate including biases in search and hiring practices, lack of equity and equal opportunities for individuals from underrepresented backgrounds, and unwelcoming campus climates that lead to marginalization and isolation in academic life. A comprehensive approach that addresses these challenges is necessary for institutions of higher education to achieve their faculty diversity goals and create a climate where individuals from all groups feel welcomed and succeed. This article focuses on the first step in this approach–diversifying faculty recruitment through adopting search practices that generate an applicant pool that matches national availability, ensures equity in evaluation and hiring practices, and promotes inclusion and belonging in the hiring experience. These strategies have been recently used at the University of California, Irvine's School of Biological Sciences and while the long‐term impact remains unknown, short‐term outcomes in recruitment and hiring have demonstrated significant improvement over previous years.
The roles of DGAT1 and DGAT2 in human myotubes are dependent on donor patho‐physiological background
Authors: Irshad Zehra , Lund Jenny , Sillars Anne , Løvsletten Nils Gunnar , Gharanei Seley , Salt Ian P. , Freeman Dilys J. , Gill Jason M. R. , Thoresen G. Hege , Rustan Arild C. , Zammit Victor A. 
Published: October 2023

AbstractThe roles of DGAT1 and DGAT2 in lipid metabolism and insulin responsiveness of human skeletal muscle were studied using cryosections and myotubes prepared from muscle biopsies from control, athlete, and impaired glucose regulation (IGR) cohorts of men. The previously observed increases in intramuscular triacylglycerol (IMTG) in athletes and IGR were shown to be related to an increase in lipid droplet (LD) area in type I fibers in athletes but, conversely, in type II fibers in IGR subjects. Specific inhibition of both diacylglycerol acyltransferase (DGAT) 1 and 2 decreased fatty acid (FA) uptake by myotubes, whereas only DGAT2 inhibition also decreased fatty acid oxidation. Fatty acid uptake in myotubes was negatively correlated with the lactate thresholds of the respective donors. DGAT2 inhibition lowered acetate uptake and oxidation in myotubes from all cohorts whereas DGAT1 inhibition had no effect. A positive correlation between acetate oxidation in myotubes and resting metabolic rate (RMR) from fatty acid oxidation in vivo was observed. Myotubes from athletes and IGR had higher rates of de novo lipogenesis from acetate that were normalized by DGAT2 inhibition. Moreover, DGAT2 inhibition in myotubes also resulted in increased insulin‐induced Akt phosphorylation. The differential effects of DGAT1 and DGAT2 inhibition suggest that the specialized role of DGAT2 in esterifying nascent diacylglycerols and de novo synthesized FA is associated with synthesis of a pool of triacylglycerol, which upon hydrolysis results in effectors that promote mitochondrial fatty acid oxidation but decrease insulin signaling in skeletal muscle cells.
Acute stress modulates the outcome of traumatic brain injury‐associated gene expression and behavioral responses
Authors: Reiners Johanna Christina , Leopold Laura , Hallebach Vera , Sinske Daniela , Meier Philip , Amoroso Mattia , Langgartner Dominik , Reber Stefan O. , Knöll Bernd 
Published: October 2023

AbstractPsychological stress and traumatic brain injury (TBI) result in long‐lasting emotional and behavioral impairments in patients. So far, the interaction of psychological stress with TBI not only in the brain but also in peripheral organs is poorly understood. Herein, the impact of acute stress (AS) occurring immediately before TBI is investigated. For this, a mouse model of restraint stress and TBI was employed, and their influence on behavior and gene expression in brain regions, the hypothalamic–pituitary–adrenal (HPA) axis, and peripheral organs was analyzed. Results demonstrate that, compared to single AS or TBI exposure, mice treated with AS prior to TBI showed sex‐specific alterations in body weight, memory function, and locomotion. The induction of immediate early genes (IEGs, e.g., c‐Fos) by TBI was modulated by previous AS in several brain regions. Furthermore, IEG upregulation along the HPA axis (e.g., pituitary, adrenal glands) and other peripheral organs (e.g., heart) was modulated by AS–TBI interaction. Proteomics of plasma samples revealed proteins potentially mediating this interaction. Finally, the deletion of Atf3 diminished the TBI‐induced induction of IEGs in peripheral organs but left them largely unaltered in the brain. In summary, AS immediately before brain injury affects the brain and, to a strong degree, also responses in peripheral organs.
Survival rate of vaginal cancer in Asian countries: a systematic review and meta-analysis
Authors: Vali Mohebat , Maleki Zahra , Jahani Mohammad-Ali , hajizade-valokolaee Maryam , Hashemi Seyedeh Niko , sedighi Saman , Ghelichi-ghojogh Mousa , Hassanipour Soheil , Solati Arezo , Javanian Mostafa , Nikbakht Hossein-Ali 
Published: October 2023

Introduction:
Vaginal cancer is one of the major causes of mortality in women, which mostly takes place in low- and middle-income countries. Assessing the survival rate of vaginal cancer is essential to investigate the success rate of current treatments and screening tools. This study aims to determine the survival rate of vaginal cancer in Asia.

Methods:
This systematic review was carried out using four international databases, including Medline/Pubmed, ProQuest, Scopus, Web of Knowledge, and also Google Scholar. Articles were investigated up to the end of August 2021. The authors utilized the Newcastle–Ottawa Scale to evaluate the quality of the articles. Evaluating the papers for heterogeneity was performed using the Cochrane test and I² statistic. Meta-regression analysis was also applied based on the year of the study.

Results:
Three articles (13 records) fulfilled the inclusion criteria. Based on the random model, the overall 5-year survival rate was 74.63%. Also, the rates of survival in relation to the type of treatment including chemotherapy, radiotherapy, or other modalities, were 78.53, 78.44, and 68.54%, respectively. According to meta-regression analysis, no correlation was found between the survival rate and the year of the study.

Conclusion:
The vaginal cancer survival rate is lower in Asian countries compared to that of developed countries. Increasing patient survival rates in such countries is crucial by implementing newer diagnostic tools, advanced surgical techniques, and goal-oriented treatments. Early diagnosis in lower stages and educating the populations about risk factors and preventative measures are also necessary for raising the rate of survival.
Using the natural language processing system MedNER-J to analyze pharmaceutical care records
Authors: Ohno Yukiko , Kato Riri , Ishikawa Haruki , Nishiyama Tomohiro , Isawa Minae , Mochizuki Mayumi , Aramaki Eiji , Aomori Tohru 
Published: October 2023

AbstractLarge language models have propelled recent advances in artificial intelligence technology, facilitating the extraction of medical information from unstructured data such as medical records. Although named entity recognition (NER) is used to extract data from physicians’ records, it has yet to be widely applied to pharmaceutical care records.In this report, we investigated the feasibility of automatic extraction of patients’ diseases and symptoms from pharmaceutical care records. The verification was performed using MedNER-J, a Japanese disease-extraction system designed for physicians’ records.MedNER-J was applied to subjective, objective, assessment, and plan data from the care records of 49 patients who received cefazolin sodium injection at Keio University Hospital between April 2018 and March 2019. The performance of MedNER-J was evaluated in terms of precision, recall, and F-measure.The F-measure of NER for subjective, objective, assessment, and plan data was 0.46, 0.70, 0.76, and 0.35, respectively. In NER and positive–negative classification, the F-measure was 0.28, 0.39, 0.64, and 0.077, respectively. The F-measure of NER for objective and assessment data (F=0.70, 0.76) was higher than that for subjective and plan data, which supported the superiority of NER performance for objective and assessment data. This might be because objective and assessment data contained many technical terms, similar to the training data for MedNER-J. Meanwhile, the F-measure of NER and positive-negative classification was high for assessment data alone (F=0.64), which was attributed to the similarity of its description format and contents to those of the training data.MedNER-J successfully read pharmaceutical care records and showed the best performance for assessment data. However, challenges remain in analyzing records other than assessment data. Therefore, it will be necessary to reinforce the training data for subjective data in order to apply the system to pharmaceutical care records.