bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risdiplam in non‐sitter patients aged 16 years and older with 5q spinal muscular atrophy
Authors: Ñungo Garzón Nancy Carolina , Pitarch Castellano Inmaculada , Sevilla Teresa , Vázquez‐Costa Juan Francisco 
Published: February 2023

AbstractIntroduction/AimsRisdiplam has been approved for the treatment of patients with 5q spinal muscular atrophy (SMA), but data from type 2 non‐sitter patients are lacking. In this study we describe our experience regarding the use of risdiplam in a series of type 2 non‐sitter patients.MethodsType 2 SMA patients over 16 years of age were administered risdiplam through the expanded access program (NCT04256265). Patients were followed‐up with a battery of scales and clinical measures.ResultsSix non‐sitter patients (17 to 46 years old) were treated with risdiplam. One patient reported mild adverse events (dyspepsia and headache). After 1 year of treatment, all patients showed clinically meaningful improvements in at least one scale and none of them showed any clinically meaningful deterioration. Two patients showed a clinically meaningful increase in body mass index (>5%) and two others scored higher on the Revised Upper Limb Module (>2 points). Moreover, five patients had clinically meaningful improvements on the Egen Klassifikation 2 scale (>2 points), including the motor (axial and upper limbs), bulbar (speech and swallowing), and respiratory (coughing) domains. Four subjects achieved at least one of the goals set with the Goal Attainment Scale (GAS).DiscussionThis series suggests that risdiplam is safe and may be effective in non‐sitter SMA patients older than 16 years of age. In these patients, functional scales and the GAS would be more sensitive than motor scales to detect changes, because they include axial, bulbar, and respiratory domains. Larger studies are needed to confirm these results.
Pediatric formulas: Categories, composition, and considerations
Authors: Klepper Corie M. , Moore Joseph , Gabel Megan E. , Fleet Sarah E. , Kassel Rachel 
Published: February 2023

AbstractFormulas, liquid nutrition, may be consumed orally or via a feeding tube to provide partial or complete nutrition that a given individual could not obtain using natural food stuffs in their native form. A wide range of commercially available formulas exist, which may be used as sole‐source nutrition or in conjunction with other foods. Physicians and dietitians must understand the nature of and indications for specific formulas to treat diseases, provide complete nutrition to patients, and avoid harm. Products vary in macronutrient and micronutrient content and calorie concentration among many other factors. They are formulated specifically for patients of specific ages, correlating to nutritional needs and medical diagnoses. Additionally, formula availability, insurance coverage, mode of consumption, physiologic tolerance, and caregiver preference influence formula selection. Caregivers may also make their own pediatric formulas. We review commercial and homemade pediatric formulas.
Association of phase angle values and sarcopenia in older patients with heart failure
Authors: Bieger Patrícia , Sangali Tamirys Delazeri , Ribeiro Édina Caroline Ternus , Schweigert Perry Ingrid Dalira , Souza Gabriela Corrêa 
Published: February 2023

AbstractBackgroundSarcopenia presents an accelerated and accentuated muscle loss in patients with heart failure (HF), leading to a worse prognosis for these patients. This study sought to assess the association of phase angle (PA) values with sarcopenia and its components, as well as to establish a PA cutoff point to predict outcomes such as hospitalization and mortality in older adult patients with HF.MethodsSarcopenia diagnosis followed the European Working Group on Sarcopenia in Older People criteria. Anthropometric, bioelectrical impedance (PA and body composition), functional capacity and inflammatory markers were assessed.ResultsIncluded patients were predominantly male (67%) and White, with a mean age of 69 ± 7 years, and a predominance of New York Heart Association I and II functional classes (82.1%) and reduced left ventricular ejection fraction (70.8%). Of the total sample, 23.6% were identified as sarcopenic. Mean PA values were lower in patients with sarcopenia (4.9 ± 0.9 and 6.0 ± 0.8°; P < 0.001). The cutoff point detected for sarcopenia in the receiver operating characteristic curve was 5.45°, which is an independent predictor for sarcopenia. PA values below this cutoff point were also associated with each of the sarcopenic components evaluated. PA proved to be an independent predictor for hospitalization (P = 0.042) in the entire sample studied.ConclusionPA is associated with diagnostic components of sarcopenia and the cutoff point 5.45° proved to be an independent predictor of sarcopenia and hospitalization >3 years in older adult patients with HF.
The relationships among perceived stress, resilience, sleep quality and first‐month retention of newly employed nurses: A cross‐sectional survey
Authors: Lin Yueh‐E , Lin Chiu‐Tzu , Hu Mei‐Lien , Tzeng Sened , Chien Li‐Yu 
Published: February 2023

AbstractAimNewly employed nurses are subject to high workplace stress, which leads to a low retention rate. Resilience can reduce burnout among nurses. The aim of this study was to explore the relationships among perceived stress, resilience, sleep quality of new nurses during initial employment, and their impacts on first‐month retention.DesignThis is a cross‐sectional study design.MethodsWe used a convenience sampling method to recruit 171 new nurses between January and September 2021. The Perceived Stress Scale, Resilience Scale, and Pittsburgh Sleep Quality Inventory (PSQI) were conducted in the study. Logistic regression analysis was used to explore the impacts on first‐month retention for newly employed nurses.ResultsThe initial perceived stress, resilience, and sleep quality of the newly employed nurses were not correlated with the first‐month retention rate. Forty‐four per cent of the newly recruited nurses had sleep disorders. Resilience, sleep quality, and perceived stress of newly employed nurses were significantly correlated. Newly employed nurses assigned to their desired wards had lower perceived stress than their peers.
Leveraging machine learning to identify acute myeloid leukemia patients and their chemotherapy regimens in an administrative database
Authors: Cao Lusha , Huang Yuan‐Shung , Wu Chao , Getz Kelly , Miller Tamara P. , Ruiz Jenny , Fisher Brian T. , Seif Alix E. , Aplenc Richard , Li Yimei 
Published: February 2023

AbstractBackgroundAdministrative datasets are useful for identifying rare disease cohorts such as pediatric acute myeloid leukemia (AML). Previously, cohorts were assembled using labor‐intensive, manual reviews of patients’ longitudinal chemotherapy data.MethodsWe utilized a two‐step machine learning (ML) method to (i) identify pediatric patients with newly diagnosed AML, and (ii) among the identified AML patients, their chemotherapy courses, in an administrative/billing database. Using 2558 patients previously manually reviewed, multiple ML algorithms were derived from 75% of the study sample, and the selected model was tested in the remaining hold‐out sample. The selected model was also applied to assemble a new pediatric AML cohort and further assessed in an external validation, using a standalone cohort established by manual chart abstraction.ResultsFor patient identification, the selected Support Vector Machine model yielded a sensitivity of 0.97 and a positive predictive value (PPV) of 0.97 in the hold‐out test sample. For course‐specific chemotherapy regimen and start date identification, the selected Random Forest model yielded overall PPV greater than or equal to 0.88 and sensitivity greater than or equal to 0.86 across all courses in the test sample. When applied to new cohort assembly, ML identified 3016 AML patients with 10,588 treatment courses. In the external validation subset, PPV was greater than or equal to 0.75 and sensitivity was greater than or equal to 0.82 for patient identification, and PPV was greater than or equal to 0.93 and sensitivity was greater than or equal to 0.94 for regimen identifications.ConclusionA carefully designed ML model can accurately identify pediatric AML patients and their chemotherapy courses from administrative databases. This approach may be generalizable to other diseases and databases.
Cost‐effectiveness analysis of recombinant factor IX Fc fusion protein compared with recombinant factor IX for the treatment of moderate–severe to severe hemophilia B in China
Authors: Zhou Ting , Wang Shuyue , Zhang Yao , Wu Runhui , Li Hongchao 
Published: February 2023

AbstractObjectiveTo evaluate the lifetime cost‐effectiveness of recombinant factor IX Fc fusion protein (rFIXFc) and recombinant factor IX (rFIX) for the treatment of hemophilia B (HB) in China.MethodsWe developed a decision‐analytic Markov model including three health states: alive, requiring surgery, and dead. This model estimated the lifetime cost and quality‐adjusted life‐years (QALYs) of prophylaxis in childhood, followed by on‐demand treatment in adulthood for moderate–severe to severe HB patients from China's healthcare system perspective. Efficacy data derived from pivotal clinical trials, clinical guideline recommendations, and expert consultation were applied to two scenarios (full dose and low dose). One‐way sensitivity analysis and probabilistic sensitivity analysis (PSA) were performed to assess the robustness of the model.OutcomesLifetime cost, QALYs, and the incremental cost‐effectiveness ratio were calculated, and the results were compared with willingness‐to‐pay (WTP) thresholds of one to three times the gross domestic product per capita of China in 2021 ($12,551–$37,653).ResultsRFIXFc was associated with lower cost and more QALYs than rFIX in both scenarios, which suggested that it is a dominant strategy (more effective and cheaper) for moderate–severe to severe HB in China. In the full‐dose scenario, rFIXFc saved more money and yielded more QALYs than in the low‐dose scenario (low doses are the typical clinical reality in China). PSA demonstrated that rFIXFc had an over 90% probability of being cost‐effective with full‐dose and low‐dose treatment at WTP thresholds of $12,551–$37,653.ConclusionsCompared with rFIX, rFIXFc appears to be a cost‐effective option for the lifetime management of moderate–severe to severe HB patients in China.
Durable remissions achieved with reinfusion of CD19‐directed CAR‐T despite failure to induce or maintain B‐cell aplasia and single‐center experience with reinfusion of tisagenlecleucel
Authors: Galletta Thomas J. , Rubinstein Jeremy D. , Krupski Christa , Nelson Adam S. , Khoury Ruby , Dandoy Christopher E. , Davies Stella M. , Phillips Christine L. 
Published: February 2023

AbstractCD19‐directed chimeric antigen receptor T lymphocytes (CAR‐T) have led to durable remissions in children with refractory and/or multiply relapsed B‐lymphoblastic leukemia. For those who relapse or lose B‐cell aplasia post CAR‐T, the role of CAR‐T reinfusion is unclear. We report two cases of durable remission with tisagenlecleucel reinfusion despite failure to achieve or maintain B‐cell aplasia, and compare these cases to six additional children who received multiple tisagenlecleucel infusions at our institution. Our experience suggests that reinfusion is safe and may be a definitive therapy for a small subset of patients. Reinfusion can also reintroduce remission and/or B‐cell aplasia, allowing for subsequent therapies.
The Arabidopsis INNER NO OUTER (INO) gene acts exclusively and quantitatively in regulation of ovule outer integument development
Authors: Skinner Debra J. , Dang Trang , Gasser Charles S. 
Published: February 2023

AbstractThe INNER NO OUTER (INO) gene is essential for formation of the outer integument of ovules in Arabidopsis thaliana. Initially described lesions in INO were missense mutations resulting in aberrant mRNA splicing. To determine the null mutant phenotype, we generated frameshift mutations and found, in confirmation of results on another recently identified frameshift mutation, that such mutants have a phenotype identical to the most severe splicing mutant (ino‐1), with effects specific to outer integument development. We show that the altered protein of an ino mRNA splicing mutant with a less severe phenotype (ino‐4) does not have INO activity, and the mutant is partial because it produces a small amount of correctly spliced INO mRNA. Screening for suppressors of ino‐4 in a fast neutron‐mutagenized population identified a translocated duplication of the ino‐4 gene, leading to an increase in the amount of this mRNA. The increased expression led to a decrease in the severity of the mutant effects, indicating that the amount of INO activity quantitatively regulates outer integument growth. The results further confirm that the role of INO in Arabidopsis development is specific to the outer integument of ovules where it quantitatively affects the growth of this structure.
Degree‐based topological indices of the molecular structure of hyaluronic acid–methotrexate conjugates in cancer treatment
Authors: Movahedi Fateme , Akhbari Mohammad Hadi 
Published: February 2023

AbstractThe study of the topological indices in the quantitative structure–activity and structure–property models are used to predict the physicochemical properties of the chemical compounds. In this paper, we analyze the molecular structure of hyaluronic acid conjugated with methotrexate which is used in anticancer drugs. We obtain the exact formulas for several new Sombor‐type vertex‐degree‐based topological indices and the Banhatti–Sombor‐type vertex‐degree‐based topological indices of the molecular structure of hyaluronic acid–methotrexate conjugate using the graph theory and the edge‐partition approach. We use Matlab and Mathematica software to evaluate the results and accuracy of calculations. The numerical results in this study can help understand the biological activity of the chemical structure of these drugs.
Temperature‐Dependent Anharmonic Phonons in Quantum Paraelectric KTaO3 by First Principles and Machine‐Learned Force Fields
Authors: Ranalli Luigi , Verdi Carla , Monacelli Lorenzo , Kresse Georg , Calandra Matteo , Franchini Cesare 
Published: February 2023

AbstractUnderstanding collective phenomena in quantum materials from first principles is a promising route toward engineering materials properties and designing new functionalities. This work examines the quantum paraelectric state, an elusive state of matter characterized by the smooth saturation of the ferroelectric instability at low temperature due to quantum fluctuations associated with anharmonic phonon effects. The temperature‐dependent evolution of the soft ferroelectric phonon mode in the quantum paraelectric KTaO3 in the range 0–300 K is modeled by combining density functional theory (DFT) calculations with the stochastic self‐consistent harmonic approximation assisted by an on‐the‐fly machine‐learned force field. The calculated data show that including anharmonic terms is essential to stabilize the spurious imaginary ferroelectric phonon predicted by DFT in the harmonic approximation, in agreement with experiments. Augmenting the DFT workflow with machine‐learned force fields allows for efficient stochastic sampling of the configuration space using large supercells in a wide temperature range, inaccessible to conventional ab initio protocols. This work proposes a robust computational workflow capable of accounting for collective behaviors involving different degrees of freedom and occurring at large time/length scales, paving the way for precise modeling and control of quantum effects in materials.
Characterization and Comparative Analysis of Starches from Seeds of Five Jackfruit Cultivars
Authors: Kushwaha Radha , Singh Vinti , Kaur Seeratpreet , Kaur Devinder 
Published: February 2023

AbstractJackfruit (Artocarpus heterophyllus) seeds are a byproduct of processing while they have an appreciable amount of starch. The current study is based on the isolation and characterization of starches from these seeds to check the suitability in terms of functional, structural, and pasting properties for determining its vital utilization. Therefore, five jackfruit cultivars (Hadiyava, Khaja, Safeda, Katahri, and Bhadaiya) are selected for the study. The amylose content, granule size, pasting properties, and relative crystallinity significantly (p < 0.05) vary in all selected five cultivars. With the lowest amylose values, Safeda cultivar starch reports higher absorption of oil and water (190.30% and 226.68%, respectively), solubility, swelling power, peak, trough, and final viscosity compared to the other starches. X‐ray diffraction results show that all five starches show a typical A‐type (15°, 17°–18°, and 23°) pattern. The first principal component (40.98%) is highly correlated with starch amylopectin content, physical properties, peak temperature, and swelling power.
Comparing and Detecting Stationarity and Dataset Shift
Authors: da Silva Camilla , Nisenson Jed , Boisvert Jeff 
Published: February 2023

AbstractMachine learning algorithms have been increasingly applied to spatial numerical modeling. However, it is important to understand when such methods will underperform. Machine learning algorithms are impacted by dataset shift; when modeling domains of interest present non-stationarities there is no guarantee that the trained models are effective in unsampled areas. This work aims to compare the stationarity requirement of geostatistical methods to the concept of dataset shift. Also, workflow is developed to detect dataset shift in spatial data prior to modeling, this involves applying a discriminative classifier and a two sample Kolmogorv-Smirnov test to model areas. And, when required a lazy learning modification of support vector regression is proposed to account for dataset shift. The benefits of the lazy learning algorithm are demonstrated on the well-known non-stationary Walker Lake dataset and improves root mean squared error up to 25% relative to standard SVR approach, in areas where dataset shift is present.
Prosimos: Discovering and Simulating Business Processes with Differentiated Resources
Authors: López-Pintado Orlenys , Halenok Iryna , Dumas Marlon 
Published: February 2023

AbstractProsimos is an open-source tool that discovers business process simulation models from execution data (event logs) and that enables users to perform what-if analysis using the resulting models. Prosimos distinguishes itself from other data-driven business process simulation approaches in the way it models resources. Existing data-driven simulation approaches treat resources as undifferentiated entities, grouped into resource pools, and assume that all resources in a pool have the same performance and availability calendars. In contrast, Prosimos allows resources (within a pool) to have different performance and availability profiles. For example, instead of treating all claims officers in an insurance claims handling process as having the same performance and availability, Prosimos may capture scenarios where senior resources perform some tasks faster than junior ones, or scenarios where some resources work part-time. To this end, Prosimos integrates algorithms for discovering differentiated resource profiles from event logs.
χc1(2p): an overshadowed charmoniumlike resonance
Authors: Bruschini R. , González P. 
Published: February 2023

Abstract
A thorough study of the JPC = 1++ elastic $$ {D}^0{\overline{D}}^{\ast 0} $$

D
0

D
¯

∗
0

and D+D∗− scattering, where the form of the meson-meson interaction is inferred from lattice QCD calculations of string breaking, is carried out for center-of-mass energies up to 4 GeV. We show that the presence of χc1(3872), which can be naturally assigned to either a bound or virtual charmoniumlike state close below the $$ {D}^0{\overline{D}}^{\ast 0} $$

D
0

D
¯

∗
0

threshold, can overshadow a quasiconventional charmoniumlike resonance lying above threshold. This makes difficult the experimental detection of this resonance through the $$ {D}^0{\overline{D}}^{\ast 0} $$

D
0

D
¯

∗
0

and D+D∗− channels, despite being its expected main decay modes. We analyze alternative strong and electromagnetic decay modes. Comparison with existing data shows that this resonance may have already been observed through its decay to ωJ/ψ.
Symmetry TFTs for 3d QFTs from M-theory
Authors: van Beest Marieke , Gould Dewi S. W. , Schäfer-Nameki Sakura , Wang Yi-Nan 
Published: February 2023

Abstract
We derive the Symmetry Topological Field Theories (SymTFTs) for 3d supersymmetric quantum field theories (QFTs) constructed in M-theory either via geometric engineering or holography. These 4d SymTFTs encode the symmetry structures of the 3d QFTs, for instance the generalized global symmetries and their ’t Hooft anomalies. Using differential cohomology, we derive the SymTFT by reducing M-theory on a 7-manifold Y7, which either is the link of a conical Calabi-Yau four-fold or part of an AdS4× Y7 holographic solution. In the holographic setting we first consider the 3d $$ \mathcal{N} $$
N
= 6 ABJ(M) theories and derive the BF-couplings, which allow the identification of the global form of the gauge group, as well as 1-form symmetry anomalies. Secondly, we compute the SymTFT for 3d $$ \mathcal{N} $$
N
= 2 quiver gauge theories whose holographic duals are based on Sasaki-Einstein 7-manifolds of type Y7 = Yp,k($$ \mathbbm{CP} $$
CP
2). The SymTFT encodes 0- and 1-form symmetries, as well as potential ’t Hooft anomalies between these. Furthermore, by studying the gapped boundary conditions of the SymTFT we constrain the allowed choices for U(1) Chern-Simons terms in the dual field theory.
Commenting on Aristotle with a Knife
Authors: Bigotti Fabrizio 
Published: February 2023

AbstractDrawing on a variety of sources, including manuscript notes and a wide variety of published material, this article offers the first analysis in English of Bassanio Landi’s works in their medical and philosophical context. I argue that while Landi’s output is characteristic of its sixteenth-century Paduan milieu, his approach to methodological questions in anatomy and the arts, as well as his paraphrase of Aristotle’s De anima, make it possible to locate him within the heretical tradition that stretches from Pietro Pomponazzi (1462–1525) to Paolo Sarpi (1552–1623).
A new model to predict the tool life in turning of titanium aluminides
Authors: García-Martínez Enrique , Miguel Valentín , Martínez-Martínez Alberto , Ayllón Jorge 
Published: February 2023

AbstractSeveral tool wear models for machining operations have been reported in the literature. However, most of them are capable of modeling only a part of the wear curve, designed for quasi-linear curves or need to be fitted by means of differential equations. In this research, a new analytical easy-to-use wear model is proposed, taking into consideration the geometry of the cutting insert and the influence of the cutting speed and the tool-workpiece contact stress. In addition, the effect of the critical machining time, relative to the tool degradation, has also been introduced. The wear model describes completely the wear curve, from the initial rapid wear stage to the thermal-activated wear rate acceleration. The constants and parameters of the equation are determined by cutting experiments from the cutting forces and flank wear registers under a variety of technological parameters. This model has been validated for turning process on Ti48Al2Cr2Nb aluminide with uncoated carbide tool under different cutting conditions, varying the cutting speed and the geometrical position of the tool. It has been demonstrated its suitability to predict tool life, according to a defined wear criterion.