bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishment of innovative ZebVortrack behavioral analysis system for quantitative epileptic seizure assessment in larval zebrafish
Authors: Chen Shanjun , Cheng Guidong , Xin Jia , Xin Yuanying , Dong Rong , Wang Songsong , Sík Attila , Han Liwen , Wang Xiaojing 
Published: January 2023

Abstract
Pro-convulsant agents can cause a series of pathologic swimming behaviors in zebrafish, of which rapid “whirlpool-like” swimming is a representative seizure characteristic behavior. However, there is a lack of good and accurate method to quantify this type of swimming feature. Therefore, in this study, we attempted to establish a new larval zebrafish seizure analysis technique for quantitatively exporting the number of swirly swimming in a certain period. The MARGO software package based on MATLAB was employed to track the zebrafish swimming route and to produce the space–time coordinates. An innovative algorithm was developed based on the factors of vector angle, trajectory length, and swimming duration. Through the optimization of the algorithm, ZebVortrack, an analysis system, was established for automatically recognizing seizure-like swimming behaviors in larval zebrafish, treated with pentylenetetrazol (PTZ). Different pro-convulsant agents, and antiseizure drugs were used to evaluate the accuracy of the ZebVortrack system for larval zebrafish. In a word, we developed a new behavior-analysis system, ZebVortrack, for quantitatively identifying the swirly swimming behavior of larval zebrafish that can automatically and accurately determine the vortex numbers and seizure latency of larval zebrafish in microplate wells so as to provide a new analysis method for study of seizures and drug screening.
MMKNF: Integrating multi-omics data to identify cancer subtypes based on multi-kernel network fusion
Authors: Zhang Yuanyuan , Liu Qian , Wu Wenhao , Zheng Haoyu , Wang Shudong 
Published: January 2023

Abstract
Background
The occurrence and development of cancer involves multi-level information of the system, which is highly heterogeneous. Therefore, how to effectively integrate multi-omics information to achieve accurate identification of cancer subtypes is the key to achieve precision medicine of cancer.
Results
In this paper, we propose a multi-kernel network fusion based on multi-omics data to identify cancer subtypes, named MMKNF. For each kind of omics data, multi-kernel functions are used to calculate the sample similarity, which can better integrate the multi-view similarity between samples. For multi-omics data, similarity network fusion (SNF) can be used to more effectively fuse the similarity of samples under different molecular features, so as to achieve more accurate clustering of samples, and then find more significant cancer subtypes. Comprehensive experiments demonstrate that MMKNF obtains more significant results than the eleven methods on six datasets in ten cancer datasets. In addition, we investigated the clinical significance of the obtained colon cancer subtypes and provided new insights into treating patients with different subtypes.
Conclusion
We provide a new method for the identification of cancer subtypes, named MMKNF, which also confirms the importance of cancer subtype identification in cancer treatment.
Secondary bacterial infections &amp; extensively drug-resistant bacteria among COVID-19 hospitalized patients at the University Hospital in Kraków
Authors: Pałka Anna , Kujawska Anna , Hareza Dariusz , Gajda Mateusz , Wordliczek Jerzy , Jachowicz-Matczak Estera , Owsianka Izabella , Żółtowska Barbara , Chmielarczyk Agnieszka , Romaniszyn Dorota , Gregorczyk-Maga Iwona , Wójkowska-Mach Jadwiga 
Published: January 2023

Abstract
Introduction: Healthcare-associated infections (HAI) and bacterial antimicrobial resistance posed a therapeutic risk during the coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to analyze the HAIs in COVID-19 patients in the Intensive Care Unit (ICU) and non-ICU at the University Hospital in Krakow (UHK) with an emphasis on the susceptibility of the most frequently isolated pathogens and the prevalence of extensively drug resistant (XDR) microorganisms. Methods: This laboratory-based study was carried out at the University Hospital in Krakow in the ICU and non-ICUs dedicated to COVID-19 patients between May 2021 and January 2022. All isolates of Klebsiella pneumoniae were analyzed using PFGE protocol. Results: 288 independent HAI cases were identified, with the predominance of urinary tract infections (UTI), especially in the non-ICU setting. The most common ICU syndrome was pneumonia (PNA). The prevalence of XDR organisms was 29.1% in the ICU and 26.4% in non-ICUs among all isolates. The incidence of carbapenem-resistant Enterobacteriaceae infection was 24.8 cases per 10,000 hospitalizations and the carbapenem-resistant A. baumannii infection incidence was 208.8 cases per 10,000 hospitalizations. The prevalence of XDR strains was highest in Acinetobacter spp, in PNA cases. The PFGE typing demonstrated that almost all XDR strains varied widely from each other. Conclusions: In this study, there was a high incidence of HAI in COVID-19 patients. Similarly, the prevalence of XDR microorganisms, especially XDR-A.baumannii, was also high. PFGE did not confirm the horizontal spread of any organism strains.
The 3-D Time-Dependent Navier-Stokes Equations on Multi-Connected Domains with Inhomogeneous Boundary Conditions and Spectral Hyperviscosity
Authors: Avrin Joel 
Published: January 2023

Abstract
We consider the time-dependent 3-D Navier-Stokes equations (NSE) on a multi-connected bounded domain Ω ⊂ R 3 with inhomogeneous boundary values on ∂Ω = Γ , where Γ is a union of Lipschitz continuous surfaces Γ 0 , Γ 1 , ..., Γ l. This assumption includes the particular case when the Γ i are disjoint, the stationary version of which is classically known as Leray's problem ([38]). Existence results for Leray's problem have either assumed ux conditions beyond the general ux condition necessitated by compatibility constraints ([16], [35], [38]), or required size restrictions on the data ([6], [17], [31]). Here we incorporate a spectral hyperviscosity term in the time-dependent case and obtain existence and foundational results, assuming only the general ux condition and without imposing size restrictions on the boundary data β. Assuming that β ∈ H 1/2 (Γ) as in [38], we establish global existence and uniqueness of mild solutions. Then on any interval [0, T ] on which these solutions and the corresponding NSE solution share a common H 1-bound (as is present on local intervals of existence of strong solutions, in certain special cases, or as is commonly assumed in achieving strong convergence results in numerical studies) we show for slightly more regular β that the spectrally-hyperviscous solutions converge strongly and uniformly in H 1 (Ω) to the NSE solution as the spectral hyperviscosity term vanishes in the limit of key parameters. To achieve this robust sense of approximation of the NSE system, an involved setup and specially-adapted semigroup techniques assume essential roles, and the exposition is new for the case β = 0 as well. Our nal results adapt the NSE reformulation in [40] to recast our approximating system in a form potentially more adaptable to computation.
AMS Subject Classifications: 35A35, 35B40, 35Q35, 76F02.
Fetal circular shunt in Ebstein's Anomaly and non-steroidal anti-inflammatory treatment
Authors: Peña Faith , Emanuelson Tiffany , Todman Steven , Jones Ryan , Mahajan Siddharth 
Published: January 2023

Abstract
A circular shunt is a poor prognostic factor associated with Ebstein's anomaly. Targeting the constriction of the ductus arteriosus (DA) in order to limit or resolve the circular shunt, has been shown to improve fetal outcomes. Prenatal non-steroidal anti-inflammatory drugs (NSAIDs) have been known to constrict the DA. Recently, prenatal NSAIDs have been used for that purpose in the treatment of circular shunt. Limited research shows that it may be an effective treatment leading to improved fetal outcomes. In this article, we did an extensive review of literature to describe this therapy’s effectiveness and outcomes.
A minimalistic magnetic manipulation system for manouvering nanorobots
Authors: Goswami Sayanta , Ghosh Ambarish , Dasgupta Debayan 
Published: January 2023

Abstract
Magnetic nanorobots require elaborate magnetic field patterns to move. Sophisticated magnetic coils have been designed to cater to such experiments. However, under laboratory conditions space and temperature control presents constraints that often need to be overcome. Here we report a minimalistic coil system that is easily portable and accounts for space constraints near a compound microscope. In a volume of 10 mm×10 mm×10 mm working space a uniform rotating magnetic field with a maximum field strength of 15 mT can be achieved with our design. The three-coil system can be helpful for manipulating helical magnetic nanorobots inside mechanically complex media like, biological fluids where a greater magnetic field is desirable to induce maneuverability. It is possible to achieve our goal of controlling magnetic nanorobots inside living animals wirelessly soon while simultaneously imaging them through an optical microscope with this electromagnetic coil assembly.
The future of Rare Disease Drug development: the Rare Disease Cures Accelerator Data Analytics Platform (RDCA-DAP)
Authors: Barrett Jeffrey S. , Betourne Alexandre , Walls Ramona L. , Lasater Kara , Russell Scott , Borens Amanda , Rohatagi Shlok , Roddy Will 
Published: January 2023

Abstract
Rare disease drug development is wrought with challenges not the least of which is access to the limited data currently available throughout the rare disease ecosystem where sharing of the available data is not guaranteed. Most pharmaceutical sponsors seeking to develop agents to treat rare diseases will initiate data landscaping efforts to identify various data sources that might be informative with respect to disease prevalence, patient selection and identification, disease progression and any data projecting likelihood of patient response to therapy including any genetic data. Such data are often difficult to come by for highly prevalent, mainstream disease populations let alone for the 8000 rare disease that make up the pooled patient population of rare disease patients. The future of rare disease drug development will hopefully rely on increased data sharing and collaboration among the entire rare disease ecosystem. One path to achieving this outcome has been the development of the rare disease cures accelerator, data analytics platform (RDCA-DAP) funded by the US FDA and operationalized by the Critical Path Institute. FDA intentions were clearly focused on improving the quality of rare disease regulatory applications by sponsors seeking to develop treatment options for various rare disease populations. As this initiative moves into its second year of operations it is envisioned that the increased connectivity to new and diverse data streams and tools will result in solutions that benefit the entire rare disease ecosystem and that the platform becomes a Collaboratory for engagement of this ecosystem that also includes patients and caregivers.
On some nonlocal parabolic systems with gradient source terms
Authors: Atmani Somia , Biroud Kheireddine , Daoud Maha , Laamri El-Haj 
Published: January 2023

Abstract
The present paper is concerned with a class of nonlocal parabolic systems set in a regular bounded open subset of RN, where the gradients of the unknowns act as source terms. First, we establish some nonexistence and blow-up in finite time results. Second, we prove some new weighted regularity results. Such results are interesting in themselves and play a crucial role to study local existence of nonnegative solutions under suitable assumptions on the data.
This work also highlights a substantial difference between the nonlocal case and the local case already studied by the fourth author and his coworkers.
Mathematics Subject Classification 2020: 35R11 . 35J62 . 30G50 . 47H10 . 35B45.
Outcome of combining 7.5Fr disposable electronic flexible ureteroscope with 10Fr ureteral access sheath in the treatment of renal stones &lt; 2cm: initial experience
Authors: Song Baiyang , Cheng Yue , Xie Guohai , Huang Ting , Yang Jiner , Fang Li 
Published: January 2023

Abstract
Background: To evaluate the effectiveness and safety of combining 7.5Fr flexible ureteroscope with 10Fr ureteral access sheath performed in patients with renal calculi under 2cm.
Methods: We prospectively involved 10 patients with renal calculi < 2cm who underwent holmium laser lithotripsy using the combination of 7.5Fr flexible ureteroscope and a 10Fr ureteral access sheath without double-J stents pre-reserved. The patients’ profiles, including preoperative, operative information, and postoperative complications, were recorded.
Results: The success rate of sheath placement was 100% with the operation time of 55.0 ± 20.0 min, while the lithotripsy time of 150.4 ± 199.0 s. Due to the grade-1 injury of ureter, the double-J stent was retained in two cases for a month. Moreover, the duration of stent-keeping was 18.3 ± 20.13 hours, the hospitalization duration after operation was 45.6 ± 15.5 h, and the pain score after 24 hours postoperatively was 4.3 ± 3.5, respectively. Hemoglobin decreased by 5.0 ± 9.2 g/L and creatinine increased by 1.9 ± 6.6 μmol/L postoperatively, and none of the patients suffered from fever or hemorrhage. The SFR was 90.0% in a month after surgery. In terms of the symptom score of stents, overactive bladder symptom score was 1.7 ± 1.5, international prostate symptom score of 3.3 ± 2.8, and quality of life of 1.3 ± 1.7.
Conclusion: Combining 7.5Fr flexible ureteroscope with 10Fr ureteral access sheath is recommended as a safe option for treating renal calculi < 2cm with high rate of sheath placement and lower rate of complication.
Cost-effective and eco-friendly leaf-based bio-adsorbent for methyl blue dye adsorption: thermodynamics, kinetics, isotherms, and phytotoxicity
Authors: Dutta Sagar Kumar , Elias Md. , Anis-Ul-Haque K. M. , Dhar Palash Kumar , Khan Mohammad Mizanur Rahman , Amin Md Khairul 
Published: January 2023

Abstract
The elimination of textile dye from wastewater is an ecological and environmental barrier to continued industrial expansion. The current study aims to analyse the anionic methyl blue (MB) dye's ability to bind to the Artocarpus heterophyllus leaf powder (AHLP) and assess its capacity to eliminate the dye from an aqueous solution. The Fourier transform infrared spectroscopy (FT-IR), Scanning electron microscopy (SEM), X-ray diffraction (XRD), and zero-point charge (pHzpc) analyses were utilised to characterise the leaf powder (adsorbent). The adsorption efficiency was evaluated through various conditions, including solution pH (3-10), dye concentration (20-50 mg.L-1), AHLP dosage (1.50-8.0 g.L-1), contact time (0-90 min), and temperature (300-323 K). The maximum dye adsorption efficiency (91.10%) was achieved within 45 min, using 3.0 g.L-1 adsorbent dose in 20 mg.L-1 MB solution at pH 4.0 and 300 K temperature. The adsorption mechanism was congruent with the pseudo-second-order model (R2 > 0.99) and the Langmuir model (R2 = 1.0). Several thermodynamic parameters, like enthalpy change (∆Ho), Gibbs free energy change (∆Go), and entropy change (∆So) were analysed to identify the spontaneity and exothermic nature of the adsorption. Besides, the phytotoxicity trials on Cicer arietinum seeds revealed 0%, 80%, 87%, and 100% germination in the experimental MB solution, treated MB solution, MB-loaded AHLP, and fresh water, respectively, confirming the non-toxicity of both the treated MB solution and MB-loaded AHLP adsorbent. Therefore, the AHLP adsorbent might be a potential material for wastewater management due to its several advantages, like cost-free, abundant, easy to prepare, fast and high efficiency, and eco-friendly.
Analysis of Quadratic Thermal Radiation on Carreau Fluid Past a Melting Stretchable Cylinder
Authors: Lim Yeou Jiann , Mohamad Ahmad Qushairi , Rawi Noraihan Afiqah , Ling Dennis Chaun Ching , Zin Nor Athirah Mohd , Shafie Sharidan 
Published: January 2023

Abstract
The melting phenomenon plays a vital role in power storage, electronic cooling, and semiconductor manufacturing. A better understanding of the phenomenon may produce an electronic device with optimal performance. In the present study, the melting effect on the flow of Carreau fluid over a stretchable cylinder is analyzed. Since the temperature difference is huge, quadratic thermal radiation is considered to simulate the real situation. To solve the governing equations, suitable similarity variables are applied to convert the complex nonlinear partial equations into ordinary equations. Semi-analytical homotopic solutions of the equation are then determined using the homotopy analysis method. The melting parameter has increased the heat transfer rate by more than 10% for both Prandhl fluids. As the temperature ratio due to the quadratic radiation increase, the local Nusselt number for the fluid with a Prandtl number, 0.71 has been reduced by 25%, and more reduction is observed for fluid with a Prandtl number, 10.
Mapping Global Responses to Climate Change by Categorising Adaptation Tools through Stated Objectives and Specificity
Authors: Nkoana Elvis Modikela 
Published: January 2023

Abstract
This paper maps global responses to the imminent climate change catastrophe by categorising climate adaptation tools according to their stated objectives and specificity. Categorisation is useful in that it exposes popular discourse on climate adaptation, clarifies the developmental, climate-proofing or impact focus of development cooperation organisations towards climate adaptation, and draws contradistinctions between climate adaptation approaches in developed and developing countries. Systematic review of scientific and grey literature yielded peer-reviewed journal articles and an inventory of over one-hundred and thirty-two (132) climate adaptation tools. Secondary data analysis method was used to develop a continuum/framework to categorise fifty (50) selected climate adaptation tools according to their stated objectives and specificity. Findings reveal that climate adaptation initiatives can occur on a wide scale ranging from purely developmental activities to actions that directly confronts the impacts of climate change. Most climate adaptation initiatives are carried out using climate-proofing tools. Climate-proofing traditional socio-economic development might undermine genuine climate adaptation efforts. Also, there is an acute shortage of information provision tools that furnishes the user with localised information about climate change. This might have negative implications for rural and localised development planning. In conclusion, this categorisation will provide useful recommendations for the development and implementation of future climate adaptation tools in a sub-Saharan African context.
Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data
Authors: Cevik Mucahit , Yildirim Savas , Parikh Devang , Basar Ayse 
Published: January 2023

Abstract

The analysis of software requirement specifications (SRS) using Natural Language Processing (NLP) methods has been an important study area in the software engineering field in recent years. Especially thanks to the advances brought by deep learning and transfer learning approaches in NLP, SRS data can be utilized for various learning tasks more easily. In this study, we employ a three-stage domain-adaptive fine-tuning approach for three prediction tasks regarding software requirements, which improve the model robustness on a real distribution shift. The multi-class classification tasks involve predicting the type, priority and severity of the requirement texts specified by the users. We compare our results with strong classification baselines such as word embedding pooling and Sentence BERT, and show that the adaptive fine-tuning leads to performance improvements across the tasks. We find that an adaptively fine-tuned model can be specialized to particular data distribution, which is able to generate accurate results and learns from abundantly available textual data in software engineering task management systems.
Surgical strategy for colorectal cancer with synchronous liver and extrahepatic metastases - A scoring system and decision tree model
Authors: Tseng Chan-Wei , Teng Hao-Wei , Lin Chun-Chi , Lei Hao-Jan , Hung Jung-Jyh , Hsia Cheng-Yuan , Chou Shu-Cheng , Yang Shung-Haur , Lin Jen-Kou , Jiang Jeng-Kai , Chang Shih-Ching , Chau Gar-Yang 
Published: January 2023

Abstract
Purpose: The role of hepatectomy in a specific group of patients with synchronous colorectal cancer with liver metastases (SCRLM) and synchronous extrahepatic disease (SEHD) is still unclear. The aim of this study was to evaluate the efficacy of liver surgery and define the selection criteria for surgical candidates in patients with SCRLM+SEHD.
Methods: Between July 2007 and October 2018, 475 patients with colorectal cancer with liver metastases (CRLM) who underwent liver resection were retrospectively reviewed. Sixty-five patients with SCRLM+SEHD were identified and included in the study. Clinical pathological data of these patients were analyzed to evaluate the influence on survival. Important prognostic factors were identified by univariate and multivariate analyses. The risk score system and decision tree analysis were generated according to the important prognostic factors for better patient selection.
Results: The 5-year survival rate of patients with SCRLM+SEHD was 21.9%. The most important prognostic factors were SCRLM number > 5, site of SEHD other than the lung only, inability to achieve SCRLM+SEHD R0 resection, and BRAFmutation of cancer cells. The proposed risk score system and decision tree model easily discriminated between patients with different survivalrates and identified the profile of suitable surgical patients.
Conclusions: Liver surgery should not be a contraindication to patients with SCRLM+SEHD. Patients with complete SCRLM+SEHD R0 resection, SCRLM number ≤ 5, SEHD confined to the lung only, and wild-type BRAF could have favorable survival outcomes. The proposed scoring system and decision tree model may be beneficial to patient selection in clinical use.
Evaluation of Benzoate and Sorbate Preservatives contents in Mayonnaise Sauce and Salad Dressings in Urmia, Iran
Authors: Yazdanfar Najmeh , Manafi Leila , Rafsanjani Boshra Ebrahimi-Nejad , Mazaheri Yeganeh , Sadighara Parisa , Mohamadi Sara 
Published: January 2023

Abstract
As the mayonnaise sauce and salad dressings have become the favored food products among the world's population recently, the quality and safety of these products are of great importance. In this study, the amount of two common preservatives in sauces including sodium benzoate and potassium sorbate were measured using high-performance liquid chromatography (HPLC) and compared with the Iranian national standard. For this purpose, 49 samples of different brands of mayonnaise sauces and salad dressings were collected randomly from supermarkets in Urmia, Iran. According to the results of this study, sodium benzoate and potassium sorbate were not detected in 2 samples (4.08%) and 4 samples (8.16%) out of 49 samples, respectively. The mean concentrations of sodium benzoate and potassium sorbate in the samples were estimated as 249.95 and 158.06 ppm, respectively. Consequently, the preservative concentrations in all samples of mayonnaise sauces and salad dressings were lower than the Iranian acceptable level. Due to the importance of the side effects of these preservatives for consumers, their consuming must be conscious and limited to national standards. Therefore, regular and accurate evaluations of these preservatives in sauces and other high-consumption food products are recommended to provide consumer' safety.