bluuebunny/crossref_metadata_2025_split huggingface dataset:
Survival analysis for estimating lamb survival up to weaning in Harnali sheep
Authors: Gaur Parth , Malik Z.S. , Bangar Yogesh C. , Magotra Ankit , Chauhan Ashish 
Published: August 2022

SummaryThe present study was carried out to estimate lamb survival (in days) from birth to weaning under survival analysis using data records from 2057 Harnali lambs born to 134 sires and 623 dams between the period from 2001 to 2020. The weaning age in resourced population was 90 days from birth. The hazard ratio in terms of risk of death up to weaning was determined using Cox proportional hazards model by subjecting some fixed factors such as year of birth, sex of lamb, birth weight (kg), dam’s weight at lambing (kg) and dam’s age at lambing (years). The overall survivability up to weaning among lambs was 91.59% and Kaplan–Meier estimates of mean survival time up to weaning was 85.77 days. Cox proportional hazard modelling revealed that the hazards of death up to weaning was higher in male lambs [1.66, 95% confidence interval (CI): 1.22–2.26] compared with female lambs [hazard ratio (HR) = 1.00]. It was also observed that the hazards of death (HR = 0.91, 95% CI: 0.88–0.94) had decreasing trends over years. For birth weight (kg), hazard rate was 0.34 (95% CI: 0.25–0.46), which indicated that the risk of pre-weaning mortality was lower as birth weight increases. The weight and age of dams at lambing did not influence the survival time of studied population. The present findings indicated that survival time increased in studied lambs over the years and it could be increased more by giving more emphasis on better litter weight and general health aspects at farm level.
An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution
Authors: Wang Hao , Du Siyuan , Zheng Xiangyu , Meng Lingyi 
Published: August 2022

AbstractMetonymy resolution (MR) is a challenging task in the field of natural language processing. The task of MR aims to identify the metonymic usage of a word that employs an entity name to refer to another target entity. Recent BERT-based methods yield state-of-the-art performances. However, they neither make full use of the entity information nor explicitly consider syntactic structure. In contrast, in this paper, we argue that the metonymic process should be completed in a collaborative manner, relying on both lexical semantics and syntactic structure (syntax). This paper proposes a novel approach to enhancing BERT-based MR models with hard and soft syntactic constraints by using different types of convolutional neural networks to model dependency parse trees. Experimental results on benchmark datasets (e.g., ReLocaR, SemEval 2007 and WiMCor) confirm that leveraging syntactic information into fine pre-trained language models benefits MR tasks.
What does the word healing mean to you? Perceptions of patients with life-limiting illness
Authors: Hendricks Sloan Danetta , BrintzenhofeSzoc Karlynn , Mistretta Erin , Cova Justin , Li Lingsheng , Willis Gordon , Weaver Meaghann S. , Berger Ann 
Published: August 2022

AbstractIntroductionThere is a growing consensus that patient-centered care is more effective in treating patients than a strictly biomedical model, where there are known challenges to involving the patient in assessments, treatment goals, and determining preferred outcomes.ObjectivesThe current study seeks to integrate patient values and perspectives by exploring how people diagnosed with a life-limiting disease define healing in their own words.MethodsAs a part of a larger study that included cognitive interviewing, we asked the question “what does the word healing mean to you?” Data were collected during face-to-face interviews with patients from three metropolitan healthcare facilities.ResultsThirty participants responded to the question “what does healing mean to you?” Seven themes were identified through the data analysis. These themes include acceptance, feeling better, pain, social support, process, religion/spirituality, and make whole. The feeling better, pain, and process themes have subthemes.Significance of resultsProbing to understand patient perspectives and how to provide a holistic approach to care is essential to patient treatment. Patients defined healing in a broader way than how it is typically defined in literature. The patients’ definitions provide greater insight into perceptions and expectations regarding the healing process.
Creation of a tool to evaluate supportive care
Authors: Giacchero Damien , Buiret Guillaume , Bartolini-Grosjean Cécile , Taieb Charles , Saghatchian Mahasti , Krakowski Ivan 
Published: August 2022

AbstractRationalThe absence of a specific tool to evaluate the impact of supportive care in general and socioesthetics (SE) in particular is undoubtedly at the origin of the lack of published research based on scientific standards.ObjectiveWe developed a supportive-care, patient-reported outcome questionnaire using the multistep methods, following COSMIN recommendations.MethodsThe Patient Centricity Questionnaire (PCQ) was developed using the standardized methodology for designing patient-reported outcome (PRO) questionnaires according to the following steps: elaboration of the questionnaire, measurement properties of the questionnaire, internal and external validation, test–retest validation and translation, cross-cultural adaptation, and cognitive debriefing. A multidisciplinary work group was designed including professionals, such as physicians, public health experts, sociologists, supportive-care experts, and socioestheticians.ResultsOur questionnaire includes 11 items. It is scored by adding each Visual Analogue Scale [VAS], making it range from 0 to 110, with a higher benefit when the score is higher. The Cronbach's α coefficient is 0.88 for the entire questionnaire. As the questionnaire is a reflection of the patient's feelings, it is quite natural that the name “Patient Centricity Questionnaire” (PCQ) was retained and validated by the Scientific Committee. The PCQ correlated negatively and moderately with the Perceived Stress Scale [PSS], positively and moderately with the mental dimension of the Short Form-12, and poorly with the Well Beng 12 [WB12], the physical dimension of the SF-12, and the satisfaction VAS.ConclusionConstructed according to the recommendations, the PCQ meets the prerequisite for this type of questionnaire. Its short format and simplicity of use allow it to be used by a large number of people. The PCQ is a simple, reliable, easy-to-use, and validated tool for research teams, making it possible for randomized studies to prove the impact of supportive care in general and SE in particular, on the patient's quality of life.
Interdisciplinary simulation for nursing and medical students about final conversations: Catalyzing relationships at the end of life (CAREol)
Authors: Hansen Dana M. , Motter Tracey , Keeley Maureen P. , Shanholtzer Jennifer , Aultman Julie , Woodward Caitlin 
Published: August 2022

AbstractObjectivesFinal conversations (FCs) go beyond how patients want to be cared for at the end of life (EOL) and focus on messages of love, identity specific, and unique to an individual and relationship that requires self-examination, everyday talk that normalizes a difficult situation, religious/spiritual messages, and if needed, difficult relationship talk to heal broken relationships. The purpose of the Catalyzing Relationships at the End of Life (CAREol) program was to provide interdisciplinary education to nursing and medical students and clinical faculty about facilitating FCs among patients and families.MethodThis two-part, quasi-experimental program consisted of a cognitive (online) and experiential (live simulation) curriculum experience. Program curriculum, including video vignettes, readings, and live simulation (utilizing actors), was developed by the study team. Reflective journaling and researcher designed pre- and post-tests were used to assess comfort, confidence, importance, and distress regarding FCs and collaboration with other disciplines.ResultsThe pre-/post-test questions demonstrate statistical significance based on a paired t-test with effect sizes supporting the practical importance of the findings for effect size. Preliminary content and thematic analysis of qualitative responses describe categories of the mock team meeting experience and interaction with the actors to change patient and family outcomes.Significance of resultsEarly intervention with the CAREol program provides a framework to help students and clinical faculty facilitate FCs that may result in peace and comfort for patients and families during a difficult time.
Unbiased estimator for the ultimate claim prediction error in the chain-ladder model of Mack
Authors: Siegenthaler Filippo 
Published: August 2022

AbstractWe propose a new estimator for the ultimate prediction uncertainty within the famous Mack’s distribution-free chain-ladder model, which can be proved to be unbiased (conditionally given the first triangle column) under some additional technical assumptions. A peculiar behaviour of the unbiased estimator is given by its possible negativity. This is a drawback which might be worth trading off for the unbiasedness property, since there is empirical evidence that the likelihood of a negative realisation is extremely low. This offers an alternative to the well-known Mack and BBMW formulas since the latters can be proved to be biased. However, we also show that this novel estimator, as well as the Mack and BBMW formulas, can (with non-negligible probability) materially fail to estimate the true uncertainty.
A compact ultrawideband slotted patch antenna for early stage breast tumor detection applications
Authors: Salimitorkamani Mahdi , Mehranpour Mehdi , Odabasi Hayrettin 
Published: August 2022

AbstractThis paper presents a compact ultrawideband slotted patch antenna for early stage tumor detection applications using microwave breast imaging systems. In order to reduce any reflections between the antenna and breast, the antenna is designed and optimized inside a coupling medium with electrical properties similar to that of normal breast tissue as a coupling medium. The wideband performance of the antenna is obtained by adding a rectangular slit and L-shaped sleeves on the ground plane. While the added rectangular slit mainly improves the matching, the L-shaped sleeves improve both the matching and the bandwidth. The antenna operates from 0.9 to 9.6 GHz with a fractional bandwidth of ~165$\%$, providing a good penetration and resolution. In addition, the proposed antenna has a very compact size of 16 × 16 mm2. Furthermore, an antenna array consisting of 31 antennas is formed around a realistic breast phantom in the simulation environment to demonstrate the imaging of a spherical tumor with a diameter of 5 mm inside the breast. The results confirm that the proposed antenna can be used for early stage breast tumor detection purposes.
MeCP2 inhibits ischemic neuronal injury by enhancing methylation of the FOXO3a promoter to repress the SPRY2-ZEB1 axis
Authors: Meng Lei , Feng Bin , Luan Liming , Fang Zhihao , Zhao Guangyu 
Published: August 2022

AbstractMethyl CpG binding protein 2 (MeCP2) is involved in nerve regeneration following ischemic stroke, but the related mechanism remains unclear. Here, we found low MeCP2 expression in hippocampal tissues. Using functional analysis, we demonstrated that MeCP2 accelerated FOXO3a methylation and subsequently inhibited its expression, thus repressing the apoptosis of neuronal cells. Mechanistically, FOXO3a could bind to the promoter region of SPRY2, consequently inducing its transcription and promoting the expression of the downstream target gene ZEB1. Altogether, our study revealed that overexpression of MeCP2 can protect mice against ischemic brain injury via disruption of the FOXO3a/SPRY2/ZEB1 signaling axis. Our results identify ectopic expression of MeCP2 as a therapeutic target in ischemic stroke.
Intelligent metasurfaces: digitalized, programmable, and intelligent platforms
Authors: Zhang Shuang 
Published: August 2022

AbstractDistinguished from conventional ones, intelligent metasurfaces are endowed with three important characteristics: digitalization, programmability, and intelligence, which can be further integrated with detection, artificial neural networks, and feedback systems into a smart platform. Metasurface-based smart systems are expected to play an important role in wireless communications, advanced sensing technologies and artificial intelligence.
Determining the performance of a temperature sensor embedded into a mouthguard
Authors: de Almeida e Bueno Leonardo , Milnthorpe William , Bergmann Jeroen H. M. 
Published: August 2022

Abstract
Objective
This study aimed to determine the steady-state errors of oral-based temperature sensors, that are embedded in mouthguards, using a robust assessment process.

Materials and methods
Four electronic boards with temperature sensors were encapsulated in mouthguards made from ethylene-vinyl acetate (EVA). The error and time to reach steady-state temperature were determined using a thermostatic water bath during three different conditions (34, 38.5 and 43 °C). Subsequently, a case study of one volunteer wearing the instrumented mouthguard is presented.

Results
The water bath tests showed that a mean absolute error of 0.2 °C was reached after a maximum of 690 s across all test conditions. The case study yielded an absolute error was 0.2 °C after 1110 s.

Conclusion
These results show that an instrumented mouthguard with temperature sensing capabilities can yield a consistent steady-state error that is close to the clinical requirements across a range of temperatures. However, the time it takes to reach steady-state temperature needs to be considered for these systems to correctly interpret the outcomes.
Targeting the androgen receptor to enhance NK cell killing efficacy in bladder cancer by modulating ADAR2/circ_0001005/PD-L1 signaling
Authors: Liu Qing , You Bosen , Meng Jialin , Huang Chi-Ping , Dong Guanglu , Wang Ronghao , Chou Fuju , Gao Shan , Chang Chawnshang , Yeh Shuyuan , Xu Wanhai 
Published: August 2022

AbstractAlthough androgen receptor (AR) can influence bladder cancer (BCa) initiation and progression, its impact on tumor immune escape remains unclear. Here, we found that targeting AR could enhance natural killer (NK) cell tumor-killing efficacy by decreasing PD-L1 expression. Both antiandrogen treatment and AR knockdown effectively reduced membrane PD-LI expression to facilitate NK cell-mediated BCa cell killing by downregulating circ_0001005. Mechanistically, AR upregulated circRNA circ_0001005 expression via the RNA-editing gene ADAR2. circ_0001005 competitively sponged the miRNA miR-200a-3p to promote PD-L1 expression. A preclinical BCa xenograft mouse model further confirmed this newly identified signaling using the small molecule circ_0001005-shRNA to improve NK cell killing of BCa tumor cells. Collectively, these results suggest that targeting the newly identified ADAR2/circ_0001005/miR-200a-3p/PD-L1 pathway to impact antitumor immunity may suppress progression and boost immunotherapeutic efficacy in BCa.
Classically verifiable quantum advantage from a computational Bell test
Authors: Kahanamoku-Meyer Gregory D. , Choi Soonwon , Vazirani Umesh V. , Yao Norman Y. 
Published: August 2022

AbstractExisting experimental demonstrations of quantum computational advantage have had the limitation that verifying the correctness of the quantum device requires exponentially costly classical computations. Here we propose and analyse an interactive protocol for demonstrating quantum computational advantage, which is efficiently classically verifiable. Our protocol relies on a class of cryptographic tools called trapdoor claw-free functions. Although this type of function has been applied to quantum advantage protocols before, our protocol employs a surprising connection to Bell’s inequality to avoid the need for a demanding cryptographic property called the adaptive hardcore bit, while maintaining essentially no increase in the quantum circuit complexity and no extra assumptions. Leveraging the relaxed cryptographic requirements of the protocol, we present two trapdoor claw-free function constructions, based on Rabin’s function and the Diffie–Hellman problem, which have not been used in this context before. We also present two independent innovations that improve the efficiency of our implementation and can be applied to other quantum cryptographic protocols. First, we give a scheme to discard so-called garbage bits, removing the need for reversibility in the quantum circuits. Second, we show a natural way of performing postselection that reduces the fidelity needed to demonstrate quantum advantage. Combining these results, we describe a blueprint for implementing our protocol on Rydberg atom-based quantum devices, using hardware-native operations that have already been demonstrated experimentally.
Circulating tumor DNA to guide rechallenge with panitumumab in metastatic colorectal cancer: the phase 2 CHRONOS trial
Authors: Sartore-Bianchi Andrea , Pietrantonio Filippo , Lonardi Sara , Mussolin Benedetta , Rua Francesco , Crisafulli Giovanni , Bartolini Alice , Fenocchio Elisabetta , Amatu Alessio , Manca Paolo , Bergamo Francesca , Tosi Federica , Mauri Gianluca , Ambrosini Margherita , Daniel Francesca , Torri Valter , Vanzulli Angelo , Regge Daniele , Cappello Giovanni , Marchiò Caterina , Berrino Enrico , Sapino Anna , Marsoni Silvia , Siena Salvatore , Bardelli Alberto 
Published: August 2022

AbstractAnti-epidermal growth factor receptor (EGFR) monoclonal antibodies are approved for the treatment of RAS wild-type (WT) metastatic colorectal cancer (mCRC), but the emergence of resistance mutations restricts their efficacy. We previously showed that RAS, BRAF and EGFR mutant alleles, which appear in circulating tumor DNA (ctDNA) during EGFR blockade, decline upon therapy withdrawal. We hypothesized that monitoring resistance mutations in blood could rationally guide subsequent therapy with anti-EGFR antibodies. We report here the results of CHRONOS, an open-label, single-arm phase 2 clinical trial exploiting blood-based identification of RAS/BRAF/EGFR mutations levels to tailor a chemotherapy-free anti-EGFR rechallenge with panitumumab (ClinicalTrials.gov: NCT03227926; EudraCT 2016-002597-12). The primary endpoint was objective response rate. Secondary endpoints were progression-free survival, overall survival, safety and tolerability of this strategy. In CHRONOS, patients with tissue-RAS WT tumors after a previous treatment with anti-EGFR-based regimens underwent an interventional ctDNA-based screening. Of 52 patients, 16 (31%) carried at least one mutation conferring resistance to anti-EGFR therapy and were excluded. The primary endpoint of the trial was met; and, of 27 enrolled patients, eight (30%) achieved partial response and 17 (63%) disease control, including two unconfirmed responses. These clinical results favorably compare with standard third-line treatments and show that interventional liquid biopsies can be effectively and safely exploited in a timely manner to guide anti-EGFR rechallenge therapy with panitumumab in patients with mCRC. Further larger and randomized trials are warranted to formally compare panitumumab rechallenge with standard-of-care therapies in this patient setting.
Dataset of identified scholars mentioned in acknowledgement statements
Authors: Kusumegi Keigo , Sano Yukie 
Published: August 2022

AbstractAcknowledgements represent scholars’ relationships as part of the research contribution. While co-authors and citations are often provided as a well-formatted bibliometric database, acknowledged individuals are difficult to identify because they appear as part of the statements in the paper. We identify acknowledged scholars who appeared in papers published in open-access journals by referring to the co-author and citation relationships stored in the Microsoft Academic Graph (MAG). Therefore, the constructed dataset is compatible with MAG, which accelerates and expands the acknowledgements as a data source of scholarly relationships similar to collaboration and citation analysis. Moreover, the implemented code is publicly available; thus, it can be applied in other studies.
A new quantum-safe multivariate polynomial public key digital signature algorithm
Authors: Kuang Randy , Perepechaenko Maria , Barbeau Michel 
Published: August 2022

AbstractWe propose a new quantum-safe digital signature algorithm called Multivariate Polynomial Public Key Digital Signature (MPPK/DS). The core of the algorithm is based on the modular arithmetic property that for a given element g, greater than equal to two, in a prime Galois field GF(p) and two multivariate polynomials P and Q, if P is equal to Q modulo p-1, then g to the power of P is equal to g to the power of Q modulo p. MPPK/DS is designed to withstand the key-only, chosen-message, and known-message attacks. Most importantly, making secret the element g disfavors quantum computers’ capability to solve the discrete logarithm problem. The security of the MPPK/DS algorithm stems from choosing a prime p associated with the field GF(p), such that p is a sum of a product of an odd prime number q multiplied with a power x of two and one. Given such a choice of a prime, choosing even coefficients of the publicly available polynomials makes it hard to find any private information modulo p-1. Moreover, it makes it exponentially hard to lift the solutions found modulo q to the ring of integers modulo p-1 by properly arranging x and q. However, finding private information modulo the components q and power x of two is an NP-hard problem since it involves solving multivariate equations over the chosen finite field. The time complexity of searching a private key from a public key or signatures is exponential over GF(p). The time complexity of perpetrating a spoofing attack is also exponential for a field GF(p). MPPK/DS can achieve all three NIST security levels with optimized choices of multivariate polynomials and the generalized safe prime p.