bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship quality and psychophysiological distress for underserved breast cancer patients and their caregiver before treatment
Authors: Roberson Patricia N. E. , Cortez Gina , Freeman Teri , Lloyd Jillian , Tasman Jordan , Woods Sarah B. 
Published: September 2022

AbstractObjectiveBreast cancer patients and caregivers experience biobehavioral reactivity (e.g., depression, anxiety, pain, fatigue) during breast cancer treatment which predicts cancer recurrence and mortality. High quality patient‐caregiver relationships can mitigate this distress during treatment, but this association is unclear pre‐treatment. Identifying early interventions that target high risk Appalachian patients could impact biobehavioral reactivity.MethodsWe recruited 55 breast cancer patient‐caregiver dyads to complete a self‐report survey after diagnosis but before treatment. We used a series of Actor‐Partner Interdependence Models to test the hypotheses that both patient and caregiver relationship quality would be linked to their own and their partners' biobehavioral reactivity.ResultsCaregiver reported marital quality lower caregiver anxiety, patient anxiety, caregiver depression, patient depression, caregiver pain, and caregiver fatigue. Interestingly, patient‐reported marital quality was linked with higher caregiver anxiety, higher patient anxiety, lower patient depression, and lower patient pain. Patients reported family quality was linked to lower patient and caregiver pain.ConclusionsThis study demonstrates that pre‐treatment marital and family quality levels are directly related to psychophysiological measures in both the caregiver and the patient, though sometimes in unexpected directions. Additionally, our findings potentially reveal an opportunity to intervene at the time of diagnosis to improve relationship quality, impacting patient and caregiver psychophysiological outcomes.
Feasibility and acceptability of written exposure therapy in addressing posttraumatic stress disorder in Iranian patients with breast cancer
Authors: Zolfa Reihane , Moradi Alireza , Mahdavi Mohammad , Parhoon Hadi , Parhoon Kamal , Jobson Laura 
Published: September 2022

AbstractObjectiveThis study examined the feasibility and acceptability of written exposure therapy (WET) in reducing symptoms of posttraumatic stress disorder (PTSD) in Iranian women with breast cancer. Secondary aims included examining the influence of WET on quality of life (QoL), overgeneral memory and illness perceptions.MethodForty‐six females with breast cancer and clinical symptoms of PTSD referred to the Razi Hospital in Rasht, Iran were randomly assigned to either WET (n = 23) or control (n = 23) groups. WET is a 5‐session low‐intensity exposure‐based intervention for treating PTSD. The control group had no additional contact. Measures assessing PTSD, illness perceptions, overgeneral memory, and QoL were administered at baseline, post‐intervention and 3‐month follow‐up.ResultsAcceptability of WET was high; all participants completed all WET sessions. At post‐intervention, 95.65% of the WET group met criteria for reliable change and 100% met criteria for minimal clinically important difference (MCID) and clinically significant change in PTSD symptom improvement. At follow‐up, all WET participants met criteria for reliable change, MCID and clinically significant change in PTSD symptom improvement. No participants in the control group met reliable change, MCID or clinically significant change. The WET group had improved QoL and memory specificity and decreased threatening illness perceptions at post‐intervention and follow‐up when compared to controls.ConclusionWET may be a useful intervention for use with breast cancer patients with PTSD symptoms and may be an important adjunct to medical and pharmacological treatments, particularly in low‐ and middle‐income countries. This study indicates further research in this area is warranted.
“Psychological characteristics of functional respiratory disorders in children and adolescents—Pilot study”
Authors: Niggemann Bodo , Maas Ronja , Suerbaum Claudia , Spindler Thomas , Kohl Andreas , Koerner‐Rettberg Cordula , Burghardt Roland 
Published: September 2022

AbstractBackgroundAim of our prospective, multicenter, nonrandomized study was to identify characteristic features and similarities of patients with functional respiratory disorders regarding socio‐familial and behavioral aspects, in comparison with controls in a cross‐sectional analysis using standardized psychological questionnaires. Furthermore, we investigated the longitudinal outcome of symptoms, effects of primary interventions and the stability of psychological traits 6 months after diagnosis and primary intervention.MethodsInitially, 106 patients (68 females, 27 males) and 58 controls (33 females, 25 males) were recruited for the study. Mean age was 12.6 years in patients and 11.9 years in controls.ResultsThe child behavior checklist (CBCL) showed significantly increased scores for anxious/depressed (p = 0.002) and schizoid/obsessive (p = 0.001) behavior in patients. A trend was evident for internalizing behavior (p = 0.009) and for a higher total score (p = 0.008). In the self‐assessment youth self‐report (YSR), there was a trend towards higher values for anxious/depressed behavior in patients (p = 0.06) and towards more externalizing behavior (p = 0.029) in the control group. After 6 months, 31% of the patients were free of symptoms, 42% had improved. For themselves, parents reported a decreased burden from 56% to 23% (p < 0.001) and decreased impairment from 57% to 30% (p < 0.008). For their children, parents reported a decrease from 45% to 16% (p < 0.0001) and from 74% to 37% (p < 0.0001), respectively. A longitudinal comparison from T1 to T2 showed no statistically significant changes in all three psychological questionnaires (CBCL, YSR, and SOMS‐KJ).ConclusionsIn summary, we show that patients with functional respiratory disorders differ from healthy subjects, with internalizing behavior being a characteristic trait. The outcome in terms of symptoms, perceived psycho‐familial burden and impairment after 6 months is encouraging. However, we are aware that our preliminary data offer thought‐provoking impulses rather than firm findings.
A method for selective 19F‐labeling absent of probe sequestration (SLAPS)
Authors: Dixon Austin D. , Robson Scott A. , Trinidad Jonathan C. , Ziarek Joshua J. 
Published: September 2022

AbstractFluorine (19F) offers several distinct advantages for biomolecular nuclear magnetic resonance spectroscopy such as no background signal, 100% natural abundance, high sensitivity, and a large chemical shift range. Exogenous cysteine‐reactive 19F‐probes have proven especially indispensable for characterizing large, challenging systems that are less amenable to other isotopic labeling strategies such as G protein‐coupled receptors. As fluorine linewidths are inherently broad, limiting reactions with offsite cysteines is critical for spectral simplification and accurate deconvolution of component peaks—especially when analyzing systems with intermediate to slow timescale conformational exchange. Here, we uncovered noncovalent probe sequestration by detergent proteomicelles as a second source of offsite labeling when using the popular 19F‐probe BTFMA (2‐bromo‐N‐(4‐[trifluoromethyl]phenyl)acetamide). The chemical shift and relaxation rates of these unreacted 19F‐BTFMA molecules are insufficient to distinguish them from protein‐conjugates, but they can be easily identified using mass spectrometry. We present a simple four‐step protocol for Selective Labeling Absent of Probe Sequestration (SLAPS): physically disrupt cell membranes in the absence of detergent, incubate membranes with cysteine‐reactive 19F‐BTFMA, remove excess unreacted 19F‐BTFMA molecules via ultracentrifugation, and finally solubilize in the detergent of choice. Our approach builds upon the in‐membrane chemical modification method with the addition of one crucial step: removal of unreacted 19F‐probes by ultracentrifugation prior to detergent solubilization. SLAPS is broadly applicable to other lipophilic cysteine‐reactive probes and membrane protein classes solubilized in detergent micelles or lipid mimetics.
MHC2AffyPred: A machine‐learning approach to estimate affinity of MHC class II peptides based on structural interaction fingerprints
Authors: Jani Siddhi P. , Kumar Sivakumar Prasanth , Mangukia Naman , Patel Saumya K. , Pandya Himanshu A. , Rawal Rakesh M. 
Published: September 2022

AbstractUnderstanding how MHC class II (MHC‐II) binding peptides with differing lengths exhibit specific interaction at the core and extended sites within the large MHC‐II pocket is a very important aspect of immunological research for designing peptides. Certain efforts were made to generate peptide conformations amenable for MHC‐II binding and calculate the binding energy of such complex formation but not directed toward developing a relationship between the peptide conformation in MHC‐II structures and the binding affinity (BA) (IC50). We present here a machine‐learning approach to calculate the BA of the peptides within the MHC‐II pocket for HLA‐DRA1, HLA‐DRB1, HLA‐DP, and HLA‐DQ allotypes. Instead of generating ensembles of peptide conformations conventionally, the biased mode of conformations was created by considering the peptides in the crystal structures of pMHC‐II complexes as the templates, followed by site‐directed peptide docking. The structural interaction fingerprints generated from such docked pMHC‐II structures along with the Moran autocorrelation descriptors were trained using a random forest regressor specific to each MHC‐II peptide lengths (9–19). The entire workflow is automated using Linux shell and Perl scripts to promote the utilization of MHC2AffyPred program to any characterized MHC‐II allotypes and is made for free access at https://github.com/SiddhiJani/MHC2AffyPred. The MHC2AffyPred attained better performance (correlation coefficient [CC] of .612–.898) than MHCII3D (.03–.594) and NetMHCIIpan‐3.2 (.289–.692) programs in the HLA‐DRA1, HLA‐DRB1 types. Similarly, the MHC2AffyPred program achieved CC between .91 and .98 for HLA‐DP and HLA‐DQ peptides (13‐mer to 17‐mer). Further, a case study on MHC‐II binding 15‐mer peptides of severe acute respiratory syndrome coronavirus‐2 showed very close competency in computing the IC50 values compared to the sequence‐based NetMHCIIpan v3.2 and v4.0 programs with a correlation of .998 and .570, respectively.
6‐Methoxydihydrosanguinarine induces apoptosis and autophagy in breast cancer MCF‐7 cells by accumulating ROS to suppress the PI3K/AKT/mTOR signaling pathway
Authors: Zhang Lei , Zhang Xinyue , Che Delu , Zeng Lizhong , Zhang Yu , Nan Kai , Zhang Xinxin , Zhang Hui , Guo Zengjun 
Published: September 2022

Abstract6‐Methoxydihydrosanguinarine (6‐MDS) is a natural benzophenanthridine alkaloid extracted from Hylomecon japonica (Thunb.) Prantl. It is the first time to explore the effect and mechanism of 6‐MDS in breast cancer. Network pharmacology, molecular docking, and molecular dynamics simulation technology were adopted to identify the potential targets and pathways of 6‐MDS in breast cancer. Besides, cell proliferation, apoptosis, and western blotting assays were conducted to investigate the effect of 6‐MDS on MCF‐7 cells. Network pharmacology, molecular docking, and molecular dynamics simulation results confirmed the effect of 6‐MDS on resisting breast cancer via the PI3K/AKT/mTOR signaling pathway. In addition, the functional experiments results demonstrated that 6‐MDS inhibited proliferation and induced apoptosis and autophagy. The autophagy inhibitor chloroquine and the silence of Atg5 augmented the effect of 6‐MDS on promoting apoptosis. Furthermore, 6‐MDS suppressed the PI3K/AKT/mTOR signaling pathway, and the PI3K inhibitor LY294002 enhanced these changes and promoted the 6‐MDS pro‐apoptotic and autophagy effects. 6‐MDS triggered the generation of reactive oxygen species. The pretreatment with antioxidant N‐acetyl‐L‐cysteine reversed the changes induced by 6‐MDS, including increases in apoptosis and autophagy and inhibition of the PI3K/AKT/mTOR pathway. In conclusion, 6‐MDS induces the apoptosis and autophagy of MCF‐7 cells by ROS accumulation to suppress the PI3K/AKT/mTOR signaling pathway.
About Shewhart control charts to monitor the Weibull mean based on a Gamma distribution
Authors: Vasconcelos Renata M. R. , Quinino Roberto C. , Ho Linda L. , Cruz Frederico R. B. 
Published: September 2022

AbstractA control chart for the mean of a process whose quality characteristic follows a Weibull distribution is evaluated. In this sense, a transformation that follows an exponential distribution is used involving the parameters of scale and form of a Weibull distribution. Such a transformation allows to obtain analytically the control limits to monitor the mean using the Gamma distribution. Compared with recent results in the literature, lower average run lengths after a change (ARL1) values are measured without the need to use intensive Monte Carlo simulation to obtain the control limits as well as to calculate the ARL1 values. A numerical example is presented in detail to illustrate the efficiency and effectiveness of the developed control chart.
A highly accelerated stress reliability growth test method
Authors: Xing Hao , Yang Jun 
Published: September 2022

AbstractReliability growth test (RGT) is one of the main methods to improve product reliability. In order to effectively solve the problem of short development cycles faced by enterprises, the accelerated reliability growth test (ARGT) is developed. Since the traditional ARGT is carried out separately under all of the accelerated stress levels, and the time of RGT is too long under low accelerated stress levels. So, a highly accelerated stress reliability growth test (HARGT) is proposed, where the RGT is designed to carry out at the highest accelerated stress level. Firstly, AMSAA model is adopted to track the reliability growth process under the highest accelerated stress level, and its parameters are determined by the maximum likelihood estimation method. Secondly, taking temperature as the accelerated stress, the relationship of the reliability with different accelerated stress levels is established under the accelerated life test (ALT) in the first stage. Based on the Arrhenius model and combined with the acceleration coefficient, the product reliability at the end of the test is extrapolated to the product reliability at the normal stress level. The parameters of the Arrhenius model are got through the least square estimation method, and the acceleration coefficient and equation are also obtained. Finally, a case study on the communication service system is given to show the effectiveness of the proposed method.
Enabling High‐Stability of Aqueous‐Processed Nickel‐Rich Positive Electrodes in Lithium Metal Batteries
Authors: Wu Fanglin , Kuenzel Matthias , Diemant Thomas , Mullaliu Angelo , Fang Shan , Kim Jae‐Kwang , Kim Hee Woong , Kim Guk‐Tae , Passerini Stefano 
Published: September 2022

AbstractLithium batteries occupy the large‐scale electric mobility market raising concerns about the environmental impact of cell production, especially regarding the use of poly(vinylidene difluoride) (teratogenic) and N‐methyl‐2‐pyrrolidone (NMP, harmful). To avoid their use, an aqueous electrode processing route is utilized in which a water‐soluble hybrid acrylic‐fluoropolymer together with sodium carboxymethyl cellulose is used as binder, and a thin phosphate coating layer is in situ formed on the surface of the nickel‐rich cathode during electrode processing. The resulting electrodes achieve a comparable performance to that of NMP‐based electrodes in conventional organic carbonate‐based electrolyte (LP30). Subsequently, an ionic liquid electrolyte (ILE) is employed to replace the organic electrolyte, building stable electrode/electrolyte interphases on the surface of the nickel‐rich positive electrode (cathode) and metallic lithium negative electrode (anode). In such ILE, the aqueously processed electrodes achieve high cycling stability with a capacity retention of 91% after 1000 cycles (20 °C). In addition, a high capacity of more than 2.5 mAh cm–2 is achieved for high loading electrodes (≈15 mg cm–2) by using a modified ILE with 5% vinylene carbonate additive. A path to achieve environmentally friendly electrode manufacturing while maintaining their outstanding performance and structural integrity is demonstrated.
Development of a portable Raman device with artificial intelligence method for the detection and staging of endometrial cancer
Authors: Nambudiri Manu Krishnan Krishnan , Rajanbabu Anupama , Nair Indu Ramachandran , Anandita  , Nair Shantikumar V. , Koyakutty Manzoor , Madathil Girish Chundayil 
Published: September 2022

AbstractThe success of a Raman spectroscopy device in cancer detection lies in its ability to acquire high‐quality Raman signals from samples and to employ efficient classification algorithms in analysing spectral data. Portable Raman systems enabled with artificial intelligence tools are well adaptable to clinical settings and for accuracy for community‐level rapid screening. Here, we developed a robotic Raman device with a high‐efficiency Raman probe, validating it against endometrial cancers detecting high‐grade, low‐grade cancers and normal classes. Algorithms like principal component analysis‐discriminant analysis, and support vector machine were compared against the deep learning methodology; convolutional neural network (CNN) with and without data augmentation. Eventually, the system could classify high‐grade, low‐grade and normal tissues with an F1‐score of 91%, 94% and 97%, respectively. CNN with data augmentation proved to be the most dependable classifier that works well even in the presence of high background noise. Thus, we demonstrate a unique portable Raman device with AI tools for high‐sensitivity Raman analysis of endometrial cancer.
Explanatory black boxes and mechanistic reasoning
Authors: Haskel‐Ittah Michal 
Published: September 2022

AbstractMany studies have characterized students' difficulties in understanding and reasoning about scientific mechanisms. Some of those studies have drawn implications on teaching mechanisms and how to guide students while reasoning mechanistically. In this theoretical article, I claim that one component that has not garnered much attention in the science education literature, unlike other components of mechanistic explanations, is the black box construct, that is, missing mechanistic parts within mechanistic explanations (explanatory black box). By reviewing the literature on mechanisms and mechanistic explanations in the philosophy of science and cognitive psychology, I argue that explanatory black boxes are an inherent part of mechanistic explanations and that their recognition is essential for learning mechanisms, scientific literacy, and understanding the nature of science. Examples from biology education are provided as a case of a complex multileveled scientific field. In the absence of a pedagogical approach for teaching explanatory black boxes, I turn to studies and frameworks from computer science education that may guide educators on how to begin discussing this construct in the science classroom.
Applications of solar radiation toward the slip flow of a non‐Newtonian viscoelastic hybrid nanofluid over a rotating disk
Authors: Ramzan Muhammad , Saeed Anwar , Dawar Abdullah , Lone Showkat Ahmad , Kumam Poom , Watthayu Wiboonsak 
Published: September 2022

AbstractThis work explores a semi‐analytical solution of the Magnetohydrodynamics (MHD) viscoelastic water‐based hybrid nanoliquid flow containing TiO2 and CoFe2O4 nanoparticles past a rotating disk along with velocity slip condition. The impact of solar radiation is incorporated in the temperature equation. The current study consists of non‐Newtonian viscoelastic hybrid nanofluid flow problem which is comprised of momentum and temperature equations. By using suitable similarity transformations, the higher‐order nonlinear ordinary differential equations are transformed into the nonlinear ordinary differential equations and then resolved with the execution of the homotopy analysis scheme in MATHEMATICA 10.0. The behavior of the involved physical parameters on the hybrid nanoliquid radial and tangential velocities and temperature profiles are calculated in a graphical form. Also, the skin friction and Nusselt number for /water nanoliquid are described in tabular form. Some major results related to the current work are that by rising the values of the viscoelastic parameter, nanoparticle volume fraction of the titanium dioxide and cobalt oxide increases the skin friction coefficient . The viscoelastic parameter, nanoparticles volume fraction of the cobalt oxide and magnetic parameter reduced the skin friction coefficient of the hybrid nanofluid. It is noted that Nusselt number is lower for both and cases against the absorption factor. The expansion in hybrid nanofluid temperature is examined for both and cases. It is obtained that the temperature and heat rate transfer of the hybrid nanofluid are dominant in the presence of solar radiation.
Magnetic Carrollian gravity from the Carroll algebra
Authors: Campoleoni Andrea , Henneaux Marc , Pekar Simon , Pérez Alfredo , Salgado-Rebolledo Patricio 
Published: September 2022

Abstract
We explicitly establish the equivalence between the magnetic Carrollian limit of Einstein gravity defined through the Hamiltonian formalism and the Carrollian theory of gravity defined through a gauging of the Carroll algebra along the lines of standard Poincaré (or (A)dS) gaugings.
Using deceased people’s personal data
Authors: Nakagawa Hiroshi , Orita Akiko 
Published: September 2022

AbstractIt is important to manage individuals’ personal data after their death to maintain their dignity or follow their wishes as much as possible. From this perspective, this report describes the real-world commercialization of immortal digital personalities, which gives eternal life to the deceased in a digital form. We identify the problems with the commercialization of deceased users’ images and personal data, which becomes postmortem entertainment. Considering these problems, we seek out the ideal form of deceased users’ personal data for commercialization. We conduct a social survey to understand how ordinary Japanese people feel about the various types of publicly available services that use personal data after death, such as social network service logs. By analyzing our survey results approximately 20% of respondents would allow the commercial use of their personal data, such as browsing their social network service logs, if they could receive compensation during their lifetime.