bluuebunny/crossref_metadata_2025_split huggingface dataset:
The view of Hong Kong parents on secondary use of dried blood spots in newborn screening program
Authors: Hui Lai Ling , Nelson Edmund Anthony Severn , Deng Han-bing , Leung Tak Yeung , Ho Chih-hsing , Chong Josephine Shuk Ching , Fung Genevieve Po Gee , Hui Joannie , Lam Hugh Simon 
Published: July 2022

Abstract
Background
Residual dried blood spots (rDBS) from newborn screening programmes represent a valuable resource for medical research, from basic sciences, through clinical to public health. In Hong Kong, there is no legislation for biobanking.
Methods
A mixed-method approach was used to study the views and concerns on long-term storage and secondary use of rDBS from newborn screening programmes among Hong Kong Chinese parents of children 0–3 years or expecting parents through focus groups (8 groups; 33 participants) and a survey (n = 1012, 85% mothers). We used framework analysis to summarise the themes as supportive factors, concerns and critical arguments for retention and secondary use of rDBS from focus group discussion. We used multiple logistic regression to assess factors associated with support for retention and secondary use of rDBS in the survey.
Results
In both focus groups and survey, majority of parents were not aware of the potential secondary use of rDBS. Overall secondary use of rDBS in medical research was well accepted by a large proportion of Hong Kong parents, even if all potential future research could not be specified in a broad consent. However parents were concerned about potential risks of biobanking rDBS including leaking of data and mis-use of genetic information. Parents wanted to be asked for permission before rDBS are stored and mainly did not accept an “opt-out” approach. The survey showed that parents born in mainland China, compared to Hong Kong born parents, had lower awareness of newborn screening but higher support in biobanking rDBS. Higher education was associated with support in rDBS biobanking only among fathers.
Conclusions
Long-term storage and secondary use of rDBS from newborn screening for biomedical research and a broad consent for biobanking of rDBS are generally acceptable to Hong Kong parents given their autonomy is respected and their privacy is protected, highlighting the importance of an accountable governance and a transparent access policy for rDBS biobanks.
Non-contact locking plate application in second stage treatment of post-traumatic tibial osteomyelitis: A retrospective analysis
Authors: He Zhiwei , Chen Zijian , Zhu Yan , Wang Yicun , Zhou Hao , Zhou Guangxin , Sun Guojing , Zhao Jianning , bao Nirong , Qian Hongbo 
Published: July 2022

Abstract
Objective: We compared the fixation endurance, bone union time, lower limb joint function and complications associated with external fixation, internal fixation and non-contact locking plate during the treatment of bone defects caused by post-traumatic osteomyelitis debridement. Methods: This retrospective study involved the clinical data for 55 cases with post-traumatic-infected bone defects of the lower extremities, who had undergone radical debridement between January 2017 and September 2020. Moreover, demographics, the time of union, bacterial culture results, complications and the Self-Rating Anxiety Scale scores were statistically compared among the three groups.Results: Differences in bone union time and recurrence rates of osteomyelitis among the three groups were not significant. In contrast, relative to the other two groups, functions after surgery were significantly high in the non-contact locking plate group. Eight patients (8/22 36.4%) in the EX group, four patients (4/13 30.8%) in the IX group and four patients (4/20 20%) in the LP group had shortened limb and deformed tibia. SAS assessment showed that patients in the LP group had the lowest moderate anxiety and severe anxiety rates.Conclusions: The non-contact locking plate technique can achieve a stable fixation with non-contact between the implant and bone tissues. Therefore, it is a viable alternative for second-stage treatment of post-traumatic tibial osteomyelitis.
Enhancing the Coherence of Superconducting Quantum Bits with Electric Fields
Authors: Lisenfeld Jürgen , Bilmes Alexander , Ustinov Alexey 
Published: July 2022

Abstract
In the endeavour to make quantum computers a reality, integrated superconducting circuits have become a promising architecture. A major challene of this approach is decoherence originating from spurious atomic tunneling defects at the interfaces of qubit electrodes, which may resonantly absorb energy from the qubit's oscillating electric field and reduce the qubit's energy relaxation time T1. Here, we show that qubit coherence can be improved by tuning dominating defects away from the qubit resonance using an applied DC-electric field. We demonstrate a method that optimizes the applied field bias and enhances the average qubit T1-time by 23%. We also discuss how local gate electrodes can be implemented in superconducting quantum processors to enable simultaneous in-situ coherence optimization of individual qubits.
The SMARCA4 R1157W mutation accelerates colorectal cancer progression by facilitating SMARCA4 recruitment to H4R3me2a and chromatin remodeling
Authors: Zeng Xiangwei , Yao Bing , Liu Jianpeng , Gong Guan-Wen , Liu Ming , Li Jiahuang , Pan Hua-Feng , Li Qixiang , Yang Dongjun , Lu Peifen , Wu Dongliang , Xu Peipei , Chen Bing , Chen Panhai , Zhang Ming , Zen Ke , Jing Jian , Huang David C. S. , Jiang Zhi-Wei , Zhao Quan 
Published: July 2022

Abstract
Background: Genomic studies have demonstrated a high frequency of genetic alterations in components of the SWI/SNF complex including the core subunit SMARCA4. However, the mechanisms of tumorigenesis driven by SMARCA4 mutations, particularly in colorectal cancer (CRC), remain largely unknown. Methods: To reveal the role of the SMARCA4R1157W mutation in CRC cells and its consequences on CRC progression, we used multiple approaches and techniques. These include DNA sequencing, the CRISPR/Cas9 genome editing system, biochemical assays including protein interaction studies, chromatin immunoprecipitation (ChIP) and chromatin remodeling assays, cellular analysis including cell proliferation, colony formation, migration assays and culture of CRC patient-derived organoids, clinical sample analysis and treatment of cell line-derived xenograft (CDX) mouse models. Results: We identified a specific, hotspot mutation in SMARCA4 (c. 3721 C>T) which results in conversion from arginine to tryptophan at residue 1157 (R1157W) in human CRC tissues associated with higher grade tumors and controls CRC progression. Mechanistically, we found that the SMARCA4R1157W mutation facilitated its recruitment to PRMT1-mediated H4R3me2a (asymmetric dimethylation of Arg 3 in histone H4) and enhanced the ATPase activity of SWI/SNF complex to remodel chromatin in CRC cells. We further showed that the SMARCA4R1157W mutant reinforced the transcriptional expression of EGFR and TNS4 to promote proliferation of CRC cells and patient-derived tumor organoids. Importantly, we demonstrated that SMARCA4R1157W CRC cells and mutant cell-derived xenografts were more sensitive to combined inhibition of PRMT1 and SMARCA4 which act synergistically to suppress cell proliferation. Conclusions: Together, our findings show that SMARCA4-R1157W is a novel gain-of-function mutation, which accelerates CRC progression through epigenetic reprograming of EGFR signaling. Our results suggest a novel therapeutic strategy for the treatment of CRC patients carrying the SMARCA4R1157W mutation.
Performance of Using Overtopping Breakwater for Shore Protection and Energy Conversion
Authors: saie Yasser El , amira  , Fahmy  
Published: July 2022

Abstract
The breakwater's assignment as a wave energy breaker and a coastal protection needs to be changed to capturing wave energy and converting it to electricity. This innovation is important to provide new, renewable energy as un-renewable energy is on the verge of depletion. In this paper, a physical breakwater device of the overtopping type has been proposed, which has a front slope facing the incoming waves, and at the end of the back slope, the turbine was installed. The effect of wave state (incident wave height and wave period) on the extracted electricity and wave energy dissipation was investigated. The effect of structural parameters (structure draught and inlet slope inclination) was also examined. Results showed that a lower inlet inclined angle was preferable for the purpose of increasing electric power extraction, whereas for a larger inlet inclined angle, the dissipation of the waves' energy was greater. With increasing draught, energy extraction increased, and wave energy loss increased.
Infinite Frequency Oscillations in a Class of Discontinuous Systems with a Variable Delay
Authors: Li Liping 
Published: July 2022

Abstract
This paper mainly investigates the oscillatory behaviors in a class of discontinuous dynamical systems with a variable delay. Under the restrictions of boundedness and monotonicity on the time-delay function, the type and distribution of zero points of the solution are firstly determined. And then, the non-existence of oscillatory solutions with infinite frequency is proven for the systems with two classes of discontinuous vector fields. In detail, by applying the inequality techniques on a backward shift operator, an exact lower bound of the time is provided to ensure the vanishing of infinite frequency oscillations after this time. The obtained results improve some previous work in the cases of the constant delay and constant vector fields.
HER2-low-positive features a distinct subtype in estrogen receptor-positive breast cancer associated with endocrine therapy resistance
Authors: Long Mengping , Ying Min , Wang Xinguang , Wu Jinbo , Hu Xuejiao Lina , Guo Zhaorong , Liang Baosheng , Xie Yuntao , Li Jinfeng , Wang Tianfeng , Ouyang Tao , Sun Aihua , Zhou Xiaohua , Fan Zhaoqing , Liu Yiqiang , Hu Taobo 
Published: July 2022

Abstract
BackgroundHER2-low-positive breast cancers are reported to have distinct clinical and molecular features from HER2-zero tumors in ER-positive breast cancer. However, the association between HER2-status with response to endocrine therapy is largely unknown. MethodsIn this study, we conducted a retrospective analysis to compare the response of ER-positive breast cancer to neoadjuvant endocrine therapy (NET), neoadjuvant chemotherapy (NCT) and survival according to HER2-status.ResultsPathological complete response (pCR) in primary tumor (ypT0/isNx) is significantly lower in HER2-low-positive breast cancer than in HER2-zero tumors for NET cohort (18 out of 233 [7.7%] vs 9 out of 45 [20%]) but not for NCT cohort (28 out of 204 [13.3%] vs 5 out of 36 [13.9%]). HER2-zero tumors consistently show higher ypT0/isNx pCR ratio than HER2-low-positive breast cancer in all endocrine therapy duration groups including 3-10months, 11-20months and 21-30months groups. Multi-variable logistic regression analyses showed that HER2-low-positive expression is a risk factor for poor response to NET. In patients receiving NET, HER2-low-positve breast tumors has better disease-free survival compared with HER2-zero while no significance difference was detected with overall survival. ConclusionsOur results demonstrated that HER2-low-positive breast tumors was a distinct subtype in ER-positive breast cancers and was associated with endocrine therapy resistance.
Chaotic Bi-LSTM and Attention HLCO Predictor Based Quantum Price Level Fuzzy Logic Trading System
Authors: Lee Jiahao , Huang Zihao , Lin Lirong , Guo Yuchen , Lee Raymond 
Published: July 2022

Abstract
There are various indicators i.e. Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD) , Stochastic Oscillator which have advantages in applications to determine not only market movements with buying and selling decisions in Computational Finance, but have significant drawbacks that discrepancies are easy to match against the best trading times due to fixed order-triggering boundaries and delay problems. For example, RSI ’s 70 and 30 overbuy and oversell are fixed boundaries. Orders can only be triggered when RSI’s value exceeds one of the boundaries. Its computation only considers past market situation prompting indicators like RSI to trigger orders with delay. In this paper, we proposed a method to reduce these problems with advanced AI technologies to generate indicators’ buy and sell signals executed in the best trading time. Recurrent Neural Network (RNN) has outstanding performance to learn time-series data automatic with long-time sequences but ordinary RNN units such as Long-Short-Term-Memory(LSTM) are unable to decipher the relationships between time units, so-called context. Hence, researchers have proposed an algorithm based on RNNs’ Attention Mechanism allowing RNNs to learn information such as chaotic attributes and Quantum properties contained in time sequences. Chaos Theory and Quantum Finance Theory (QFT) are also proposed to simulate these two features. One of the well-performed QFT models is Quantum Price Level (QPL) to simulate all possible vibration levels to locate price. The system used in this paper consists of two components - neural network and fuzzy logic. Neural networks are used to predict future data and to solve indicators lagging problem whereas fuzzy logic is used to solve fixed order-triggering boundaries problem. By combining these two core components, the proposed model has obtained remarkable results in backtesting previous data that it is possible for these methods to make better investment decisions when market changes constantly.
Building a Multi-class Password Strength Generator and Classifier Model by Augmenting Supervised Machine Learning Techniques
Authors: Sakya Sakya Sarkar , Mauparna Mauparna Nandan 
Published: July 2022

Abstract
In the current scenario, password is the most indispensable authentication mechanism with respect to any system security. Although a plethora of authentication methods are available now-a-days which provides improved security such as biometrics and smart cards but still the password authentication mechanism is auspicious to everyone for the enhanced system security along with the ease of implementation. On account of the conventional pattern of passwords, these are exposed to different types of vulnerabilities. Generally, human beings prefer to set a password related to their birth place, date of birth, keyboard patterns, dictionary words etc. The online or offline attackers can guess these passwords easily and intrude the system security. The diverse varieties of password cracking tools available are primarily based on guessing of passwords, irrespective of the fact that it may be online or offline. The bulk of these tools can easily crack such accounts possessing weak password or password with some common patterns. So, every organization must ensure to govern a policy regarding the implementation of strong passwords since the usage of strong passwords will reduce the different types of vulnerabilities. In the proposed work, at first the dataset employed in the study has been generated by implementing a password generator and secondly, the password strength prediction is modeled as a classification task through the implementation of multiple supervised machine learning algorithms. These algorithms are utilized for the training and testing purpose of the dataset. However, during the testing phase, the XGBoost algorithm outperforms the other machine learning algorithms with an accuracy of 94\%. The primary contribution of this work is the generation of the dataset by employing a password generator followed by the application of some machine learning algorithms like Adaboost, XGBoost(XGB), Stochastic Gradient Descent (SGD) and Multilayer Perceptron (MLP) during the training and testing phase which has not been considered in similar other works. The final results divulge that machine learning approaches have plenty of capabilities to categorize the various types of passwords into different classes such as very weak, weak, medium, strong, very strong.
Estimating immunity with mathematical models for SARS-CoV-2 after COVID-19 vaccination
Authors: Sato Yasunori , Uwamino Yoshifumi , Nagashima Kengo , Yoshifuji Ayumi , Suga Shigeru , Nagao Mizuho , Fujisawa Takao , Ryuzaki Munekazu , Takemoto Yoshiaki , Namkoong Ho , Wakui Masatoshi , Matsushita Hiromichi , Hasegawa Naoki , Murata Mitsuru 
Published: July 2022

Abstract
Antibody waning after COVID-19 vaccinations results in the necessity of booster shots. Determining the timing of booster shots according to the decreasing antibodies of each individual will reduce the burden of excessive vaccine administration. We have developed a mathematical model to estimate waning antibody concentration (titer) during the timecourse after two doses of BNT162b2 vaccine. Using consecutive antibody datasets of over 600 vaccinated healthcare workers, we demonstrated a two-compartment model that fits better than other models. Internal validation of the model demonstrated 97.0% accuracy and external validation of healthcare worker and hemodialyzed patient datasets demonstrated 98.2% and 83.3% accuracy, respectively. A smart device application developed using our model can rapidly calculate the timing of negative seroconversion with a single antibody titer measurement. Although further modification of the model is essential, the change in antibody titer over time from COVID-19 vaccination may be estimated with a two-compartment model.
Philadelfia-negative myeloproliferative neoplasms display alterations in monocyte subpopulations frequency and immunophenotype
Authors: Bassan Vitor Leonardo , Barretto Gabriel Dessotti , de Almeida Felipe Campos , Palma Patrícia Vianna Bonini , Binelli Larissa Sarri , Silva João Paulo Lettieri da , Fontanari Caroline , Castro Ricardo Cardoso , Pontes Lorena Lôbo de Figueiredo , Frantz Fabiani Gai , de Castro Fabíola Attié 
Published: July 2022

Abstract
Philadelfia-negative myeloproliferative neoplasms (MPN) are hematological diseases associated with driver mutations in JAK2, CALR and MPL genes. Moreover, several evidence suggests that chronic inflammation and alterations in stromal and immune cells may contribute to MPN’s pathophysiology. We evaluated the frequency and the immunophenotype of peripheral blood monocyte subpopulations in patients with polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (MF). Peripheral blood monocytes from PV (n=16), ET (n=16) and MF (n=15) patients and health donors (n=10) were isolated and submitted to immunophenotyping to determine the frequency of monocyte subpopulations and surface markers expression density. Plasma samples were used to measure the levels of soluble CD163, a biomarker of monocyte activity. PV, ET and MF patients presented increased frequency of intermediate and non-classical monocytes and reduced frequency of classical monocytes compared to controls. Positivity for JAK2 mutation was significantly associated with the percentage of intermediate monocytes. PV, ET and MF patients presented high-activated monocytes, evidenced by higher HLA-DR expression and increased soluble CD163 levels. The three MPN categories presented increased frequency of CD56+ aberrant monocytes, and PV and ET patients presented reduced frequency of CD80/86+ monocytes. Therefore, alterations in monocyte subpopulations frequency and surface markers expression pattern may contribute to oncoinflammation and may be associated with the pathophysiology of MPN.
Fungal endophyte comprehensively orchestrates nodulation and nitrogen utilization of legume crop (Arachis hypogaea L.)
Authors: Xie Xing-Guang , Sun Kai , Jiang Hui-Jun , Zhao Yuan-Yuan , Li Xiao-Gang , Han Ting , Chen Yan , Dai Chuan-Chao 
Published: July 2022

Abstract
Aims
This research aimed to explore the underlying mechanisms of endophytic fungus Phomopsis liquidambaris promoting nodulation and rhizosphere nitrogen (N) availability of continuous cropping peanuts during the whole growth stage under field conditions.
Methods
A consecutive 2-year field plot experiment was performed. The abundance and diversity of rhizosphere N transformation-related microorganisms and rhizosphere available N level were detected. The nodulation related physiological activities of peanuts and Bradyrhizobium sp. were analyzed. Low N fertilizer experiment was performed to verify the mechanisms of P. liquidambaris improving overall N utilization throughout growth period of peanuts.
Results
The colonization of fungal endophyte P. liquidambaris inhibited the growth of peanut rhizosphere ammonia oxidizing archaea and bacteria, resulting in reduction of rhizosphere nitrate (NO3−-N), but increase of ammonium (NH4+-N) at the seedling stage, which stimulated nodulation-related physiological responses of host peanuts. Simultaneously, peanut-specific Bradyrhizobium sp. in rhizosphere was enriched, and their nodulation-related biological activities were enhanced by the specific root exudates derived from P. liquidambaris colonization. Along with host development, P. liquidambaris further reshaped the communities of rhizosphere N transformation related microflora and then increase rhizosphere N availability at the crucial mid-late growth stage. Using low N fertilizer experiment, we confirmed that P. liquidambaris acted as a promising inoculant to maintain yield stabilization by stimulating nodulation in the early-stage and increasing rhizosphere N availability in the mid-late stage of long-term monocropped peanuts.
Conclusions
The underlying mechanisms of P. liquidambaris promoting nodulation and rhizosphere N availability were elucidated and contributed to reduce N fertilizer inputs.
Study on the Optimal Allocation of Public Service Facilities from the Perspective of Living Circle—A Case Study of Xiangyang High-tech Zone, China
Authors: Peng Jiandong , Liu Yue , Ruan Zehan , Yang Hong 
Published: July 2022

Abstract
The equitable allocation of public service facilities is directly related to the healthy development and socially just functioning of cities. Traditional location-allocation models mostly take travel distance and facility construction cost as the decision-making objectives, with relatively single optimization objectives, and are not sufficiently adaptable to reality. The introduction of the accessibility analysis and the concept of equalization of public services diversify the objectives of urban public service facility optimization decisions. The construction of the circle of life is based on residents' behavior and helps to improve its adaptability in the configuration of public services.This study assesses the accessibility of high-tech zones in Xiangyang City, China, from a Living Circle perspective, based on the Gaussian Two-step Floating Catchment Area (G2SFCA), and integrates the advantages of the Minimum Facility Point(MFP) model, the Maximum Covering Location Problem(MCLP) model and the P-Median model to address the equity and efficiency of facilities. Results showed that after using the improved location-allocation models, the accessibility and coverage of facilities were significantly improved, and the spatial layout of facilities was more rational. The research results contributed to the study of spatial problems and spatial equity in facility allocation.