bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of genetic loci associated with renal dysfunction after lung transplantation using an ethnic-specific single-nucleotide polymorphism array
Authors: Tomioka Yasuaki , Sugimoto Seiichiro , Yamamoto Haruchika , Tomida Shuta , Shiotani Toshio , Tanaka Shin , Shien Kazuhiko , Suzawa Ken , Miyoshi Kentaroh , Otani Shinji , Yamamoto Hiromasa , Okazaki Mikio , Yamane Masaomi , Toyooka Shinichi 
Published: June 2023

AbstractRenal dysfunction is a long-term complication associated with an increased mortality after lung transplantation (LT). We investigated the association of single-nucleotide polymorphisms (SNPs) with the development of renal dysfunction after LT using a Japanese-specific SNP array. First, eligible samples of 34 LT recipients were genotyped using the SNP array and divided into two groups, according to the presence of homozygous and heterozygous combinations of mutant alleles of the 126 renal-related SNPs. To identify candidate SNPs, the renal function tests were compared between the two groups for each SNP. Next, we investigated the association between the candidate SNPs and the time course of changes of the estimated glomerular filtration rate (eGFR) in the 99 recipients until 10 years after the LT. ΔeGFR was defined as the difference between the postoperative and preoperative eGFR values. Eight SNPs were identified as the candidate SNPs in the 34 recipients. Validation analysis of these 8 candidate SNPs in all the 99 recipients showed that three SNPs, namely, rs10277115, rs4690095, and rs792064, were associated with significant changes of the ΔeGFR. Pre-transplant identification of high-risk patients for the development of renal dysfunction after LT based on the presence of these SNPs might contribute to providing personalized medicine.
Asymmetric rotaxanes as dual-modality supramolecular imaging agents for targeting cancer biomarkers
Authors: d’Orchymont Faustine , Holland Jason P. 
Published: June 2023

AbstractDual-modality imaging agents featuring both a radioactive complex for positron emission tomography (PET) and a fluorophore for optical fluorescence imaging (OFI) are crucial tools for reinforcing clinical diagnosis and intraoperative surgeries. We report the synthesis and characterisation of bimodal mechanically interlocked rotaxane-based imaging agents, constructedviathe cucurbit[6]uril CB[6]-mediated alkyne-azide ‘click’ reaction. Two synthetic routes involving four- or six-component reactions are developed to access asymmetric rotaxanes. Furthermore, by using this rapid and versatile approach, a peptide-based rotaxane targeted toward the clinical prostate cancer biomarker, prostate-specific membrane antigen (PSMA), and bearing a68Ga-radiometal ion complex for positron emission tomography and fluorescein as an optically active imaging agent, was synthesised. The chemical and radiochemical stability, and the cellular uptake profile of the radiolabelled and fluorescent rotaxane was evaluated in vitro where the experimental data demonstrate the viability of using an asymmetric rotaxane platform to produce dual-modality imaging agents that specifically target prostate cancer cells.
Recent advances in electrocatalytic NOx reduction into ammonia
Authors: Inta Harish Reddy , Dhanabal Dinesh , Markandaraj Sridhar Sethuram , Shanmugam Sangaraju 
Published: June 2023

Electrochemical ammonia synthesis from gaseous NOx pollutant enables the replacement of conventional Haber-Bosch process. This review summarizes the efforts toward electrocatalyst development for selective NH3 production from NOx.
Exploring Motives and Perceived Barriers for Voice Modification: The Views of Transgender and Gender-Diverse Voice Clients
Authors: Holmberg Jenny , Linander Ida , Södersten Maria , Karlsson Fredrik 
Published: June 2023

Purpose:To date, transgender and gender-diverse voice clients' perceptions and individual goals have been missing in discussions and research on gender-affirming voice therapy. Little is, therefore, known about the client's expectations of therapy outcomes and how these are met by treatments developed from views of vocal gender as perceived by cisgender persons. This study aimed to explore clients' individual motives and perceived barriers to undertaking gender-affirming voice therapy.Method:Individual, semistructured interviews with 15 transgender and gender-diverse voice clients considering voice therapy were conducted and explored using qualitative content analysis.Results:Three themes were identified during the analysis of the participants' narratives. In the first theme, “the incongruent voice setting the rules,” the contribution of the voice on the experienced gender dysphoria is put in focus. The second theme, “to reach a voice of my own choice,” centers around anticipated personal gains using a modified voice. The third theme, “a voice out of reach,” relates to worries and restricting factors for not being able to reach one's set goals for voice modification.Conclusions:The interviews clearly indicate a need for a person-centered voice therapy that starts from the individuals' expressed motives for modifying the voice yet also are affirmative of anticipated difficulties related to voice modification. We recommend that these themes should form the basis of the pretherapy joint discussion between the voice client and the speech-language pathologist to ensure therapy goals that are realistic and relevant to the client.
Do-It-Yourself Voice Dosimeter Device: A Tutorial and Performance Results
Authors: Bottalico Pasquale , Nudelman Charles J. 
Published: June 2023

Purpose:
Voice dosimeters gather voice production data in the daily lives of individuals with voice disorders. Additionally, voice dosimeters aid in understanding the pathophysiology of voice disorders. Previously, several voice dosimeters were commercially available. However, these devices have been discontinued and are not available to clinicians and researchers alike. In this tutorial, instructions for a low-cost, easy-to-assemble voice dosimeter are provided. This do-it-yourself (DIY) voice dosimeter is further validated based on performance results.

Method:
Ten vocally healthy participants wore the DIY voice dosimeter. They produced a sustained /a/ vowel and read a text with three different vocal efforts. These tasks were recorded by the DIY voice dosimeter and a reference microphone simultaneously. The expanded uncertainty of the mean error in the estimation of four voice acoustic parameters as measured by the DIY dosimeter was performed by comparing the signals acquired through the reference microphone and the dosimeter.

Results:

For measures of sound pressure level, the DIY voice dosimeter had a mean error of −0.68 dB with an uncertainty of 0.56 dB. For fundamental frequency, the mean error was 1.56 Hz for female participants and 1.11 Hz for male participants, with an uncertainty of 0.62 Hz and 0.34 Hz for female and male participants, respectively. Cepstral peak prominence smoothed and L
1
minus L
2
had mean errors (uncertainty) of −0.06 dB (0.27 dB) and 2.20 dB (0.72 dB).

Conclusion:
The mean error and uncertainties for the DIY voice dosimeter are comparable to those for the most accurate voice dosimeters that were previously on the market.
A court line extraction algorithm for badminton tournament videos with horizontal line projection learning
Authors: Wei Chun‐Ta , Weng Shiuh‐Ku 
Published: June 2023

AbstractCourt line extraction is one of the important steps in the analysis of sport videos. The court extraction is the foundation of the analysis of badminton video, and an efficient method with horizontal line projection K‐means machine learning algorithm to extract court lines from different broadcast badminton tournament videos is proposed in this paper. The horizontal lines are projected into 1‐D histogram signal; then the signal is trained to learn the intensity of the histogram signal for locating the positions of the horizontal court lines. After the equations of the horizontal court lines and the court lines in the vertical direction have been formulized, the intersection points of the court lines can be calculated and the court line can be extracted. The experimental results show that the proposed method can extract the court lines more efficiently than that done by the Hough transform‐related algorithms, which are widely applied in computer vision and self‐driving car applications.
Spatiotemporal traffic data imputation by synergizing low tensor ring rank and nonlocal subspace regularization
Authors: Wu Peng‐Ling , Ding Meng , Zheng Yu‐Bang 
Published: June 2023

AbstractSpatiotemporal traffic data usually suffers from missing entries in the data acquisition and transmission process. Existing imputation methods only consider the global/local structure of spatiotemporal traffic data, resulting in insufficient estimation performance. Fortunately, it is found that traffic data admits the nonlocal self‐similarity (NSS) prior. This paper incorporates the global and nonlocal low‐rank priors of traffic data and proposes a tensor completion model for spatiotemporal traffic data imputation. To be specific, the proposed method uses tensor ring (TR) decomposition with an enhanced representation capability to characterize the global low‐TR‐rank prior of traffic data, e.g. the correlation of sensor and time modes of the tensor (i.e. traffic data). An implicit plug‐and‐play (PnP)‐based regularization is further utilized to exploit the NSS prior, which depicts the nonlocal similar traffic data patterns. Furthermore, the proximal alternating minimization algorithm under the PnP framework is derived to solve this model. The experiment results on various datasets and missing scenarios show the superiority of the proposed model.
A machine-learning-based tool for open cluster membership determination in Gaia DR3
Authors: van Groeningen M. G. J. , Castro-Ginard A. , Brown A. G. A. , Casamiquela L. , Jordi C. 
Published: June 2023

Context. Membership studies characterising open clusters (OCs) with Gaia data – most of them using Gaia Data Release 2 (DR2) – have so far been limited at the faint end to magnitude G = 18 due to astrometric uncertainties.
Aims. Our goal is to extend current OC membership lists with faint members and to characterise the low-mass end. These low-mass members are important for many applications, in particular for ground-based spectroscopic surveys.
Methods. We use a deep neural network architecture to learn the distribution of highly reliable OC member stars around known clusters. We then use the trained network to estimate new OC members based on their similarities in a high dimensional space, their five-dimensional astrometry, and information from the three photometric bands.
Results. Due to the improved astrometric precision of Gaia Data Release 3 (DR3) with respect to DR2, we are able to homogeneously detect new faint member stars (G > 18) for the known OC population.
Conclusions. Our methodology can provide extended membership lists for OCs down to the limiting magnitude of Gaia, which will enable further studies to characterise the OC population; such as estimation of their masses and dynamics. These extended membership lists are also ideal target lists for forthcoming ground-based spectroscopic surveys.
Clinical and pathological risk factors for tumour recurrence and upstaging in second TURBT for patients with NMIBC: a systematic review and meta-analysis
Authors: Guler Yavuz 
Published: June 2023

Zusammenfassung
Ziel Offenlegung signifikanter Risikofaktoren durch Identifizierung gepoolter Effektschätzungsstatistiken in einer systemischen Überprüfung und Metaanalyse klinischer und pathologischer Risikofaktoren, die ein Tumorrezidiv und ein Upstaging auf eine zweite TURBT bei Patienten mit hochgradigem NMIBC vorhersagen.

Material-Methode Alle Datenquellen wurden umfassend bis Oktober 2022 untersucht. Die Daten wurden aus den relevanten Studien extrahiert und mit der Software RevMan analysiert. In einem inversen Varianzmodell mit zufälligen und festen Effekten werden Odds Ratio (OR)-Werte mit 95%-Konfidenzintervallen [95%-KI] angegeben.

Ergebnisse Der Review umfasste insgesamt 18 Studien und 4548 Patienten. Gemäß den gepoolten Effektschätzern waren Carcinoma in situ (CIS), Tumorgrad, Multiplizität und Chirurgenfaktoren signifikante Risikofaktoren. Die gepoolten Effektschätzungen für das Tumorstadium und die Tumormorphologie waren sehr nahe an der Signifikanz. Für CIS, Grad, Multiplizität und Chirurgenfaktor, OR, IVR oder IVF [95%-KI] waren die p- und I2-Werte 1,8 [1,1, 3,0], 0,03, 75%; 2 [1,1, 3,4], 0,02, 53%; 1,3 [1,2, 1,6], <0,01, 40%; und 2 [1,4, 3], <0,01, 66%.

Schlussfolgerungen Als Ergebnis der ersten TURBT; Eine zweite TURBT sollte in den 2–6 Wochen der postoperativen Phase für Patienten mit hochgradigem, begleitendem CIS, multipler, solider Morphologie, DM(-) im pathologischen Präparat und NMIBC, das von Trainern/Juniorchirurgen operiert wird, geplant werden.
Observation of a Possible Successful Treatment of DEPDC5-Related Epilepsy with mTOR Inhibitor
Authors: Hadzsiev Kinga , Hegyi Márta , Fogarasi András , Bodó-Baltavári Tímea , Zsigmond Anna , Maász Anita , Szabó András , Till Ágnes 
Published: June 2023

AbstractThe mechanistic target of the rapamycin signaling pathway serves as a central regulator of cell metabolism, growth, proliferation, and survival. In its regulation, the GTPase-activating protein activity toward Rags1 complex has an inhibitory effect. Mutations in genes encoding this complex protein are among the most common abnormalities in focal epilepsies. Within these mutations, the mutations affecting the DEPDC5 gene have been associated with different autosomal dominantly inherited epilepsy types. Due to the limited data available on mTOR inhibitor therapy in nontuberous sclerosis complex epileptic patients, here we present the clinical management of a patient with intractable epilepsy, skin hypopigmentation, and a DEPDC5 variant. The patient's phenotype is compatible with a nonlesional DEPDC5-related epileptic encephalopathy. We initiated compassionate, off-label everolimus treatment as the patient's condition continuously deteriorated. Due to bilateral pneumonia occurring at the beginning of the treatment, it was temporarily discontinued, and resumed in half the dose. Follow-up examination after 18 months showed a 90% reduction in seizure frequency with moderate improvement in attention function and nutritional status. Our case report emphasizes the importance of early genetic testing in patients with epileptic encephalopathy. Clinical consequences of mammalian target of rapamycin complex 1 (mTORC1) upregulation may be amenable to tailored treatment with mTOR inhibitors. A clinical trial on an international scale would be needed to draw conclusions.
Venous Thromboembolism in Women of Childbearing Age: Insights from the START Registry
Authors: Grandone Elvira , Antonucci Emilia , Colaizzo Donatella , De Laurenzo Antonio , Cosmi Benilde , Cini Michela , Legnani Cristina , Testa Sophie , Margaglione Maurizio , Palareti Gualtiero 
Published: June 2023

Background Women of childbearing age are exposed to venous thromboembolic risk mainly for pregnancy and use of oral contraceptives. The impact of risk factors (RF) on venous thromboembolism (VTE) in these circumstances is still unclear.
Aim In the context of START registry, we aimed to investigate the weight of a series of RF on the occurrence of pregnancy- or combined oral contraceptive (COC)-associated VTE.
Materials and Methods We selected all women included in the START for VTE occurred between 18–42 years and compared those with a first or recurrent pregnancy/postpartum- (group A) or COC-VTE (group B) with those who had VTE outside these circumstances (group C). Final analysis included a cohort of 532 women. Follow-up data showed that there were no significant differences between the groups in terms of thrombotic and haemorrhagic complications. As for pregnancy-associated VTE, the overall outcome was good in terms of both maternal and fetal prognosis.
Results In a binary model of logistic regression, correcting for potential confounders, VTE family history conferred a significant and independent higher risk of COC-VTE compared with group C. Similarly, comparison between group A and C documented that family history significantly affected the risk of pregnancy-associated VTE. VTE in the group C was significantly associated with older age. Lastly, smoke was a significant risk factor for pregnancy/postpartum VTE when group A and group B were compared.
Conclusion Present data suggest that in the setting of fertile women, family history of VTE has a greater role in predicting COC- and pregnancy/postpartum- VTE than outside these circumstances.
Densely packed skyrmions stabilized at zero magnetic field by indirect exchange coupling in multilayers
Authors: Ajejas Fernando , Sassi Yanis , Legrand William , Srivastava Titiksha , Collin Sophie , Vecchiola Aymeric , Bouzehouane Karim , Reyren Nicolas , Cros Vincent 
Published: June 2023

Room-temperature stabilization of skyrmions in magnetic multilayered systems results from a fine balance between several magnetic interactions, namely, symmetric and antisymmetric exchange, dipolar interaction and perpendicular magnetic anisotropy as well as, in most cases, Zeeman through an applied external field. Such field-driven stabilization approach is, however, not compatible with most of the anticipated skyrmion based applications, e.g., skyrmion memories and logic or neuromorphic computing, which motivates a reduction or a cancellation of field requirements. Here, we present a method to stabilize at room-temperature and zero-field, a densely packed skyrmion phase in ferromagnetic multilayers with moderate number of repetitions. To this aim, we finely tune the multilayer parameters to stabilize a dense skyrmion phase. Then, relying on the interlayer electronic coupling to an adjacent bias magnetic layer with strong perpendicular magnetic anisotropy and uniform magnetization, we demonstrate the stabilization of sub-60 nm diameter skyrmions at zero-field with adjustable skyrmion density.
Alpha-phase gallium oxide-based UVC photodetector with high sensitivity and visible blindness
Authors: Kim Sunjae , Yoon Youngbin , Seo Dahee , Park Ji-Hyeon , Jeon Dae-Woo , Hwang Wan Sik , Shin Myunghun 
Published: June 2023

This paper describes the heteroepitaxial growth of high-quality alpha-phase gallium oxide (α-Ga2O3) on a sapphire substrate without a buffer layer via the hydride vapor phase epitaxy method. Here, compressive strain arising from the difference in lattice constants between the substrate and α-Ga2O3 is relieved near the interface, resulting in a high crystal quality of 32.72 arcsec (full width at half maximum value) in the high-resolution x-ray diffraction 2θ scan spectrum. Subsequently, the fabricated hetero α-Ga2O3-based photodetector with a metal–semiconductor–metal structure operating under ultraviolet radiation in the C-band (UVC) demonstrates a high UVC responsivity of 5 × 102 A W−1 and a high visible blindness of 8.14 × 104 at 235 nm. The photodetector utilizes photogenerated holes trapped near the interface of the metal electrode, inducing amplified electron current flow. The developed hetero α-Ga2O3-based UVC photodetector can be used to detect early signs of fire, flames, or corona discharge in visible light environments for social and industrial safety applications.
The Grassmann interpolation method for spin-unrestricted open-shell systems
Authors: Tan Jake A. , Lao Ka Un 
Published: June 2023

The recently reported Grassmann interpolation (G-Int) method [J. A. Tan and K. U. Lao, J. Chem. Phys. 158, 051101 (2023)] has been extended to spin-unrestricted open-shell systems. In contrast to closed-shell systems, where G-Int has to be performed only once since the α and β density matrices are the same, spin-unrestricted open-shell systems require G-Int to be performed twice—one for the α spin and another for the β spin density matrix. In this work, we tested the performance of G-Int to the carbon monoxide radical cation CO●+ and nickelocene complex, which have the doublet and triple ground states, respectively. We found that the Frobenius norm errors associated with the interpolations for the α and β spin density matrices are comparable for a given molecular geometry. These G-Int density matrices, when used as an initial guess for a self-consistent field (SCF) calculation, outperform the conventional SCF guess schemes, such as the superposition of atomic densities, purified superposition of atomic densities, core Hamiltonian, and generalized Wolfsberg–Helmholtz approximation. Depending on the desired accuracy, these G-Int density matrices can be used to directly evaluate the SCF energy without performing SCF iterations. In addition, the spin-unrestricted G-Int density matrices have been used for the first time to directly calculate the atomic charges using the Mulliken and ChElPG population analysis.
“Shadowtime”
Authors: Lambert Shannon 
Published: June 2023

AbstractThis paper explores “shadowtime”, or the co-existence of multiple temporalities, in Michelle Paver’s novelDark Matter: A Ghost Story(2010).Dark Matteris filled with temporally strange figures that evade human vision and understanding. Central among these is the spectral presence of agengånger, or ghost, which haunts the Arctic research station where the novel is largely set. After tracking some of the metaphorical and material dimensions of the spectral, this essay investigates “shadowtime” in the context of the novel’s various ‘archives’. It then looks at how the incorporeal or immaterial concepts of value and choice frame the novel’s ‘dark matters’. ‘Possibility’, or the question of ‘what if?’ pervades the novel’s pages, encouraging readers to imagine multiple realities simultaneously. This essay argues that, although set in a period predating wide awareness of climate change,Dark Matter’s “shadowtimes” create forms of temporal and ontological instability that resonate with the existential uncertainties of the Anthropocene.
Series reversion for electrical impedance tomography with modeling errors
*
Authors: Garde H , Hyvönen N , Kuutela T 
Published: June 2023

Abstract
This work extends the results of Garde and Hyvönen (2022 Math. Comput.
91 1925–1953) on series reversion for Calderón’s problem to the case of realistic electrode measurements, with both the internal admittivity of the investigated body and the contact admittivity at the electrode-object interfaces treated as unknowns. The forward operator, sending the internal and contact admittivities to the linear electrode current-to-potential map, is first proven to be analytic. A reversion of the corresponding Taylor series yields a family of numerical methods of different orders for solving the inverse problem of electrical impedance tomography, with the possibility to employ different parametrizations for the unknown internal and boundary admittivities. The functionality and convergence of the methods is established only if the employed finite-dimensional parametrization of the unknowns allows the Fréchet derivative of the forward map to be injective, but we also heuristically extend the methods to more general settings by resorting to regularization motivated by Bayesian inversion. The performance of this regularized approach is tested via three-dimensional numerical examples based on simulated data. The effect of modeling errors related to electrode shapes and contact admittances is a focal point of the numerical studies.
Well-posedness of the stochastic time-fractional diffusion and wave equations and inverse random source problems
Authors: Lassas Matti , Li Zhiyuan , Zhang Zhidong 
Published: June 2023

Abstract
In this paper, we are concerned with the stochastic time-fractional diffusion-wave equations in a Hilbert space. The main objective of this paper is to establish properties of the stochastic weak solutions of the initial-boundary value problem, such as the existence, uniqueness and regularity estimates. Moreover, we apply the obtained theories to an inverse source problem. The uniqueness of this inverse problem under the boundary measurements is proved.