bluuebunny/crossref_metadata_2025_split huggingface dataset:
Allogeneic hematopoietic stem cell transplantation and pre-transplant strategies in patients with NPM1-mutated acute myeloid leukemia
Authors: Kobbe Guido , Jäger Paul Sebastian , Geyh Stefanie , Bärmann Ben , Kasprzak Annika , Haas Rainer , Germing Ulrich , schroeder thomas , Rautenberg Christina , Kaivers Jennifer 
Published: February 2023

Abstract
Patients with acute myeloid leukemia (AML) and nucleophosmin 1 gene mutations (NPM1mut) show a favorable prognosis with chemotherapy (CT) in the absence of negative prognostic genetic abnormalities. Between 2008 and 2021 64 patients with NPM1mutAML received alloHSCT because of additional adverse prognostic factors (1st line), inadequate response to or relapse during or after CT (2nd line). To expand the evidence in alloTX in NPM1mut AML, clinical and molecular data were retrospectively analyzed with respect to pre-transplant strategies and outcome.
Patients with minimal residual disease negative (MRD-) CR at transplant had better 2-y-PFS and 2-y-OS (77% and 88%) than patients with minimal residual disease positive (MRD+) CR (41% and 71%) or patients with active disease (AD) at transplant (20% and 52%). The 2nd line patients with relapse after completing CT responded well to high dose cytarabine based salvage chemotherapy (salvage CT) in contrast to patients relapsing while still on CT (90% vs 20%, p=0.0170). 2-y-PFS and 2-y-OS was 86% in patients who achieved a 2nd MRD- CR pre alloHSCT.
Outcome in NPM1mutAML depends on disease burden at alloHSCT. Time and type of relapse in relation to CT are predictive for response to salvage CT.
Stabl: sparse and reliable biomarker discovery in predictive modeling of high-dimensional omic data
Authors: Hedou Julien , Maric Ivana , Bellan Grégoire , Einhaus Jakob , Gaudilliere Dyani , Ladant Francois-Xavier , Verdonk Franck , Stelzer Ina , Feyaerts Dorien , Tsai Amy , Ganio Edward , Sabayev Maximilian , Gillard Joshua , Bonham Adam , Sato Masaki , Diop Maïgane , Angst Martin , Stevenson David , Aghaeepour Nima , Montanari Andrea , Gaudilliere Brice 
Published: February 2023

Abstract
High-content omic technologies coupled with sparsity-promoting regularization methods (SRM) have transformed the biomarker discovery process. However, the translation of computational results into a clinical use-case scenario remains challenging. A rate-limiting step is the rigorous selection of reliable biomarker candidates among a host of biological features included in multivariate models. We propose Stabl, a machine learning framework that unifies the biomarker discovery process with multivariate predictive modeling of clinical outcomes by selecting a sparse and reliable set of biomarkers. Evaluation of Stabl on synthetic datasets and four independent clinical studies demonstrates improved biomarker sparsity and reliability compared to commonly used SRMs at similar predictive performance. Stabl readily extends to double- and triple-omics integration tasks and identifies a sparser and more reliable set of biomarkers than those selected by state-of-the-art early- and late-fusion SRMs, thereby facilitating the biological interpretation and clinical translation of complex multi-omic predictive models.
The complete package for Stabl is available online at https://github.com/gregbellan/Stabl.
Gibbs Measures of a Fisher Information Model on Cayley Trees
Authors: Botirov Golibjon , Nazirov Madali 
Published: February 2023

Abstract
We consider a Fisher Information model, with spin values from the setof all natural numbers, on and interested in tree-automorphisen invariant Gibbs measuresof the model. We study the set of translation-invariant Gradient Gibbs measures for themodel and shov that there are at most three coordinate constant and non-constant.
AMS Subject Classification: 20B07, 20E06.
An adaptive optimization EEMD method and its application in bearing fault detection
Authors: Liu Xinming , Chen Wenzhuang , Mao Aikun 
Published: February 2023

Abstract
Aiming at the optimization of two important parameters (white noise amplitude coefficient and set average number) in the set empirical mode decomposition (EEMD), an adaptive EEMD parameter optimization method is proposed. First of all, this paper extracts the corresponding amplitude of the high-frequency component of the signal through the energy value of the first eigenmode function, uses the relative mean square error to determine the corresponding amplitude of the low-frequency component of the signal, and establishes the optimal amplitude evaluation criteria based on the corresponding amplitude of the two; At the same time, in order to improve the calculation efficiency and reduce the influence of white noise, the energy value of the first modal component is used to determine the optimal average number of sets; Then, the effectiveness of the method in this paper is verified by simulation experiments; Finally, this method is applied to the extraction of bearing inner ring fault vibration signal. The results show that compared with the traditional EEMD method, this method can adaptively determine the noise amplitude and the set average number, and can more effectively identify the periodic fault components of the vibration signal.
WITHDRAWN: Cities expansion drivers and maximum temperatures variation in the Tropics
Authors: Bonilla-Bedoya Santiago , Zalakeviciute Rasa , Santos Fabián , Mejía Danilo , Watson Scott , Silva Gilson Fernandes , Mora Argenis 
Published: February 2023

Abstract
Urban expansion and contemporary climate variations are caused by different proximate and underlying multidimensional factors. A spatiotemporal analysis of the urban socio-ecosystem generates key information for planning a sustainable urban model. We analyzed the spatiotemporal pattern of urban expansion and maximum temperature variations in a hierarchy of four categories of cities in the South American tropics in a sequence of seven-time intervals between 1985 and 2018. We defined the boundaries of 31 cities using spatiotemporal information on climatic, topographic, forest, demographic, and economic dimensions. This information was used to run several linear and nonlinear models that would explain the pattern of urban expansion and maximum temperature variations. We found that the historical pattern of expansion varied over time by city category; however, by the end of the first two decades of the 21st century, expansion was significantly higher for all categories. All dimensions contributed to explaining the expansion. An increasing altitude, the steepness of the slope, and a lower roughness index were the proximate causes of increasing the probability of city expansion; on the contrary, vegetation cover had the least importance, suggesting degradation of peripheral ecosystems. Underlying causes, an increase in the gross domestic product (GDP), and demographic variations were of high importance in explaining the probability of expansion in the region. We suggest that the systematic transition from peri-urban soil to impervious cover in the South American tropics is key to both local and global land surface energy balance.
Comparative Study of Mixed Convection Flow of Mono/Hybrid Nanofluid within a Porous Medium
Authors: Jena Snehalata , Mishra Manoj Kumar 
Published: February 2023

Abstract
The purpose of the present research paper, is to carry out a comparative study for mixed convection flow of mono and hybrid nanofluids within the porous medium in the presence of magnetic field and melting effects. The Darcy-Forchheimer model along-with single phase nanofluid model is used to propose the mathematical model of the envisioned problem. The PDEs governing the problem are transformed into a non-dimensional ODEs using suitable similarity variables. The numerical solution of the problem is obtained using the MATLAB package bvp4c and the results showing the effect of various flow controlling parameters on the flow field is presented graphically. The investigation revealed that the heat transfer rate is increases with melting parameter and nanofluid produces more skin friction comparative to hybrid nanofluid. The findings have the applications involving oil flow filtration, electronic cooling equipment, etc.
Blowup for the 3D axisymmetric Keller-Segel-Euler equations
Authors: Chen Qiong 
Published: February 2023

Abstract
We consider a mathematical model describing the fertilization process of some invertebrates (see corals, urchins). Then we obtain a Keller-Segel system with reaction terms coupling with a Euler equation. Using the Fourier localization technique, we establish the blowup criterion of smooth solutions for the 3D axisymmetric Keller-Segel-Euler equations.
AMS subject classi cations. 35K55, 35Q92, 35Q35, 92C17
The study of species and phylogenetic diversity on karst forest along Lijiang River
Authors: Zhao Yi , Li Lin , Zhou Jinggang , Wen Zhifeng , Zhong Jianjun , Shen Kaihui , Yang Xintian , Wei Shiguang 
Published: February 2023

Abstract
Forest community is the key point of global biodiversity conservation for its large number of species. Over the centuries, many scholars have tried to reveal the community diversity of forests such as tropical rainforests. But we know very little about karst forests because it is distributed in very few areas of the world. Lijiang river basin, a subtropical karst forest area, is a vital biodiversity hotspot in South China. In this paper, we aimed to reveal the characteristics of forestry species diversity in the karst area of Lijiang River by Hill diversity and two beta diversity partitioning method. We also studied the phylogenetic diversity and established a pedigree tree for the karst forest in the whole basin. Our findings showed that alpha diversity and beta diversity was quite different between the watershed. The alpha diversity indices in the upper reaches were significantly higher than that of the rest reaches, while the beta diversity was extreme variation among planted forest than natural forest. The decomposition of beta diversity in these karst forests showed that the diffusion limitation was the main driving force causing the beta diversity difference. The phylogenetic structure showed that the midstream karst forest had more distantly related species than other basins. We found that upstream forest was under species invasion while midstream karst forest was under factitious threatened. We suggest that the karst forests in the Lijiang River basin should be protected immediately. This study also filled the gap in the study of karst forests in subtropical regions.
Cardiovascular disease prevention: Community Based Asset Mapping within religious networks in a rural Sub-Saharan African neighbourhood
Authors: Willis Andrew , Chatio Samuel , Darko Natalie , Nonterah Engelbert , Zakariah-Akoto Sawudatu , Alale Joseph , Jones Ceri , Curtis Ffion , knutusor setor , Ansah Patrick , Seidu Samuel 
Published: February 2023

Abstract
Background
Prevalence of conditions which raise cardiovascular risk, such as hypertension and type 2 diabetes are seeing a dramatic rise in Sub Saharan Africa. A large proportion of these cases remain undiagnosed and there is limited resource to provide patients with self-management support and education once diagnosed. This study aimed to identify and catalogue community-based assets for the purposes of developing and deploying a screening and education programme for cardiometabolic risk factors (diabetes and hypertension) within religious organisations in a local community in a rural Ghanaian context.
Methods
We utilised a community-based form of participatory research made up of a number of different components including community-based asset mapping and stakeholder consultation, supplemented by 18 depth interviews and 10 focus groups with n = 115 service users, to map existing assets with relevance to cardiometabolic health in this setting and context. Thematic analysis of interview and focus group data was performed to identify themes related to successful implementation of health screening. Two stakeholder workshops with local healthcare professionals, faith leaders and health policy makers were delivered to co-produced a prioritised list of recommendations and ‘asset map’ to aid deployment of mass screening within faith organisations in this context.
Results
The findings of this research highlight a number of ‘hidden’ community assets and motivational mechanisms at an individual, community and institutional levels; these have informed a list of recommendations which have been co-developed with the stakeholder group and local community to support the development of effective screening strategies for cardiometabolic conditions within faith organisations in this context.
Conclusions
we have identified key mechanisms and assets which would support a sustainable screening approach designed to engage an underserved community at high CVD risk to promote general community health and well-being.
Precise and efficient insertion of A673T mutation in APP gene using MSYM
Authors: Xia Qing , Liu Zijie , Yang Xinyu , Xiao Jiaying , Zhao Xue , Zhao Yu , Zheng Feifei , Ge Fangliang , Ye Ke , Wang Dayong , Gao Xu 
Published: February 2023

Abstract

Alzheimer's Disease is a progressive neurodegenerative disorder characterized by toxic accumulation of amyloid beta peptides and tau neurofibrillary tangles. A673T mutation, as a protective mutation existing in natural people has a huge potential in the pharmacotherapy of Alzheimer's Disease, particularly for the combination with stem cell therapy, which may not only provide clinic benefit to amyloid beta peptides, but correct irreversible injury due to amyloid beta peptides. Here we describe a CRISPR/Cas9-based genome-editing framework that allows point mutation with high efficiency and accuracy. We show that HDR accuracy is increased dramatically by increasing same sense mutation positioned in the guide RNA target sequence along with cleavage site, and establish a method termed “MSYM” for scarless genome editing. Using this approach, we generated the A673T mutation in iPS cells. This point mutation is an alanine-to-threonine substitution at position 673 of APP. More importantly, this approach provides more options for researchers and clinicians in efficient introduction of specific sequence changes, facilitating study of human disease, not only AD.
A unique approach for electrochemical determination of dopamine by turning off uric acid and ascorbic acid peaks
Authors: Dung Nguyen Quoc , Toan Tran Quoc , Nang Lam , Hien Trinh Ngoc , Anh Le Phuoc , Thanh Dang Van 
Published: February 2023

Abstract
A novel technique was adopted for the electrochemical determination of dopamine and the simultaneous determination of uric acid (UA), ascorbic acid (AA), and dopamine (DA) in buffered phosphate-saline pH 7.4 using a few-layer graphene/Pt (FGP) electrode. In the positive scan, the differential pulse voltammetry (DPV) technique of FGP for UA, DA, and AA revealed widely separated three oxidation peaks. In particular, in the negative scan, the FGP electrode only worked with DA while "turning off" for UA and AA, indicating that small amounts of DA could be easily quantified in the presence of large amounts of UA and AA interferences. In the positive scan, the sensors of UA, DA and AA were determined with a linear range of 10 - 1500 (µM), 1 - 200 (µM), and 5 - 500 (µM), a sensitivity of 136.02, 111.45, and 815.58 (µAcm-2mM-1), and a detection limit of 2.6, 4.0, and 0.4 (µM), respectively. DA was quantified in a negative scan with a linear range of 1 – 50 µM, a sensitivity of 2576.87 (µAcm-2mM-1), and a detection limit of 0.1 (µM). This report presents a novel technique that aims to determine dopamine based on fast and simple electrochemical measurements.
The Complex Characterization of Ceramics from Lalatepe Archeological Site
Authors: Mammadov S. , A.Ahadova  , Gasymov V. , Abishov A. , Akhundov T. , Almammadov Kh. 
Published: February 2023

Abstract
In the present work, four ancient ceramic shreds from the archaeological site Lalatapa, Fizuli region of the Republic of Azerbaijan, and two local raw ceramic pastes were characterized by powder X-ray diffraction (PXRD), scanning electron microscopy and thermal analysis (TG-DTG) techniques. XRD analysis of ceramic sherds reveals that all investigated samples contain similar minerals: quartz, feldspar, and clay. Three samples out of four contain calcite. Based on the traditional approach, it has been assumed that the firing process in these samples stopped before 700°C. The mass loss ratios of samples of ancient ceramics also indicate that reversible dehydroxylation took place in all four samples, thus indicating the initial mild firing conditions. SEM analysis also did not reveal the signs of deep vitrification. The summary of all the applied methods indicates that the ceramic samples were made using a similar manufacturing technology. According to XRD analysis, samples N1 and N4 contain diopside, and samples N2 and N3 maghemite indicate the different origins of the ceramic shreds. Analysis of the raw ceramic mass also did not reveal the presence of these minerals, which may indicate a discrepancy between the origin of ancient ceramic sherds and modern ones.
Uncertainty of vibrated granular balls in dynamical behavior
Authors: Zhang Kai 
Published: February 2023

Abstract
There is a known granular motion pattern where a dense upper region is supported on a fluidized low-density region underneath, i.e., so-called density inversion which is regarded as a precursor to granular Leidenfrost effect1-2. In this work, we show another possible granular motion pattern by discrete element simulation, i.e., the granular wave-solid state3 which reflects the uncertainty of density inversion. The occurrence probability of density inversion or wave-solid state is presented by vibrating granular systems of random packing with constant excitation parameters. Moreover, our simulations further reproduce the well-known Butterfly effect that indicates the sensitivity of nonlinear systems to initial conditions. Based on the phenomena revealed by our simulations, we believe that density inversion which is highly influenced by initial packing state of granular balls is not the only path to granular Leidenfrost effect. In addition, we argue that the granular system that undergone one dynamic test is no longer the original one due to the change of granular packing state, which should not be ignored in the experimental studies of granular dynamics.
Veterinarian's Approach to SPA
Authors: Robbe Suelee , Strohbehn Daryl , Ensley Doug , Meyer Brent 
Published: February 2023

Cow/calf practitioners routinely make recommendations regarding management issues, culling and ration balancing without knowledge of the producer's cost of production. Lack of this information significantly reduces the practitioner's ability to make appropriate recommendations. Just as treating a cow without diagnostic tests, i.e., physical exam and serum chemistries, can lead to inappropriate treatment, management recommendations made without production and financial records can be inappropriate.
Diagnostic tests cannot be interpreted without standard methodology for conducting the tests. The same is true for financial and production records. Standardized Performance Analysis (SPA) guidelines for beef cowherd records were developed in the early 1990s to address these concerns.
Many states have implemented these guidelines into their cow-calf record systems, developed benchmarking databases, and have assisted producers with decision-making processes from these comparisons. Reports from various states suggest major herd economic improvements from this type of outreach activity.
Even with this success, adoption of these recordkeeping systems has been slow. For example, the number of herds in the annual Iowa database for 1999 is 27, compared to 16 herds at its initiation in 1994 and 45 herd at its peak in 1997. With budget concerns, it is increasingly difficult to provide this kind of individualized service through extension.
A Snapshot of Current Updates and Future Prospects of 3D Printing in
Medical and Pharmaceutical Science
Authors: Agrawal Rutvi , Garg Akash , Deshmukh Rohitas 
Published: February 2023

Abstract:
3D printing in other fields, such as aviation, is quite old, but in the pharmaceutical area, it is an emerging technique. 3D printing is used to formulate various drug delivery systems and dosage forms with complex geometry. It allows large and fast production of products according to the need of the patient. Today, it is the widely used manufacturing technique in the healthcare field for the engineering of tissues and tissue models, production of medicines and medical devices, organ and tissue bioprinting, implant manufacturing, and production of polypills, vaginal rings, orodispersible films, etc. It allows the production of various dosage forms with complex release profiles containing multiple active ingredients. It is used for manufacturing medicines according to the need of individual patients focusing on the concept of personalized medicines. The idea of customized medicines allows change of dosage and design of the product as per individual and with decreased side effects. This review details various techniques of 3D printing used, such as stereolithography, fused deposition modeling, inkjet printing, etc., and applications and dosage forms developed with the latest patents. The significant challenges in the emergence of the 3D printing technique are the involvement of complex combinations to achieve desired properties, and also, the bioprinter involved provides slow and less resolution. The materials prepared by this technique are both biocompatible and printable, due to which additive manufacturing is increasing in the field of medicine.
Serum Irisin is Associated with Bone Mineral Density in Postmenopausal
T2dm Patients Complicated with Osteoporosis and in Mice with Diabetic
Osteoporosis
Authors: Xing Baorui , Hou Xiuxiu , Zhang Guochen , Wu Hao , Feng Nana , Li Yunmei , Han Guangpu 
Published: February 2023

Background::
Osteoporosis is a systemic bone disease with low bone mass, destruction of
bone microstructure, and increased bone fragility. Gender and metabolic status are well-known risk
factors for osteoporosis. Irisin is a newly discovered myokine that is secreted by skeletal muscle and
adipose tissue. Serum Irisin was reported to be decreased in type 2 diabetes mellitus (T2DM) and/or
osteoporosis patients, and it is correlated with bone mineral density (BMD) of neck bone, but its role in
postmenopausal T2DM with osteoporosis remains largely unknown.

Methods::
Postmenopausal T2DM patients with or without osteoporosis were recruited, and 50 agematched
healthy postmenopausal women were employed as healthy control. C57BL/6J mice were intraperitoneally
injected with 65 mg/kg Streptozotocin (STZ) daily for consecutive 5 days to induce
diabetes, and 1 mg/kg recombinant Irisin protein was injected into diabetic mice through the tail vein
once a week for 4 months.

Results::
Compared to that of healthy control, serum Irisin levels and BMD in L1–L4 lumbar spine,
femoral neck, total hip, and Wards were decreased in postmenopausal T2DM patients and further decreased
in T2DM patients with osteoporosis. Moreover, serum Irisin levels were also correlated with
BMD in the above body parts in T2DM patients. Furthermore, recombinant Irisin protein improved
diabetic osteoporosis and inflammation in STZ-induced diabetic mice with osteoporosis.

Conclusion::
Serum Irisin levels in postmenopausal T2DM patients with osteoporosis were significantly
decreased, which may be related to the decreased BMD and the occurrence of osteoporosis in postmenopausal
T2DM patients. The combined measurement of serum Irisin levels and BMD in patients
with T2DM in the early stage has a certain effect on the diagnosis and treatment of osteoporosis.