bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mediators and moderators of the effects of the COVID-19 crisis on parent–child conflict in children in tertiary mental health care
Authors: Robaey Philippe , Erbach Madison , Watanabe Lori K. , Carreiro Elizabeth R. , Maisonneuve Alexander R. 
Published: December 2023

AbstractThis study focused on children treated for mental health problems during the pandemic. The present study examined how parent’s difficulties in managing COVID-19 restrictions increased children's behavioral problems (internalizing and externalizing) and parent–child conflict through parental mental health and parental stress. Family functioning, particularly problem-solving ability, was tested as a resilience factor. were collected using online surveys from 337 parents with a child between the ages of 4 and 18 years who was receiving active outpatient mental health treatment at a pediatric tertiary care center. Parents who reported a greater impact of COVID-19 reported more behavioral difficulties in their children. This relationship was significantly mediated by parental mental health (general stress, anxiety, and depression) and parental stress. Similar indirect pathways were observed when examining internalizing and externalizing problems in children, where the most significant pathway had parental stress as the sole mediator. Furthermore, the effect of COVID-19 impact on parent–child conflict through parental stress was significantly moderated by problem-solving skills within the family. Parenting stress mediates the impact of COVID-19 on parent–child conflict. Interventions improving within family problem solving-skills may decrease the effect of parental stress on parent–child conflict.
Mass spectrometry in cerebrospinal fluid uncovers association of glycolysis biomarkers with Alzheimer’s disease in a large clinical sample
Authors: de Geus Matthijs B. , Leslie Shannon N. , Lam TuKiet , Wang Weiwei , Roux-Dalvai Florence , Droit Arnaud , Kivisakk Pia , Nairn Angus C. , Arnold Steven E. , Carlyle Becky C. 
Published: December 2023

AbstractAlzheimer’s disease (AD) is a complex and heterogeneous neurodegenerative disorder with contributions from multiple pathophysiological pathways. One of the long-recognized and important features of AD is disrupted cerebral glucose metabolism, but the underlying molecular basis remains unclear. In this study, unbiased mass spectrometry was used to survey CSF from a large clinical cohort, comparing patients who are either cognitively unimpaired (CU; n = 68), suffering from mild-cognitive impairment or dementia from AD (MCI-AD, n = 95; DEM-AD, n = 72), or other causes (MCI-other, n = 77; DEM-other, n = 23), or Normal Pressure Hydrocephalus (NPH, n = 57). The results revealed changes related to altered glucose metabolism. In particular, two glycolytic enzymes, pyruvate kinase (PKM) and aldolase A (ALDOA), were found to be upregulated in CSF from patients with AD compared to those with other neurological conditions. Increases in full-length PKM and ALDOA levels in CSF were confirmed with immunoblotting. Levels of these enzymes furthermore correlated negatively with CSF glucose in matching CSF samples. PKM levels were also found to be increased in AD in publicly available brain-tissue data. These results indicate that ALDOA and PKM may act as technically-robust potential biomarkers of glucose metabolism dysregulation in AD.
The use of dual mobility acetabular cups in total hip replacement reduces dislocation rates in hip dysplasia patients
Authors: Kim Jung Shin , Moon Nam Hoon , Do Min Uk , Jung Sung Won , Suh Kuen Tak , Shin Won Chul 
Published: December 2023

AbstractTotal hip replacement arthroplasty (THA) in hip dysplasia patients has a higher dislocation rate than in patients with simple hip osteoarthritis due to anatomical deformation. Therefore, to reduce postoperative THA dislocation is the challenge for arthroplasty surgeons. From 2015 to 2020, 1525 patients underwent THA performed by two surgeons at a single institution. A total of 152 patients involving 172 THAs were included. The patients were classified into dual-mobility (DM) and fixed-bearing (FB) acetabular cup groups. The occurrence of postoperative dislocation and functional evaluation of the hip joint, was analyzed before and after surgery using the modified Harris hip score(mHHS). There was no difference in the preoperative demographics and radiographic parameters between the groups. The incidence of postoperative hip dislocation was significantly lower in the DM group (DM 0% vs. FB 9.0%) (P value = 0.003). The mHHS showed no difference before surgery and after surgery (DM 91.80 vs FB 92.03). Treating hip dysplasia patients with THA using a dual-mobility acetabular cup can reduce postoperative dislocations, and could be used for the better management of these patients.
Comparison of the accuracy of Japanese synonym identifications using word embeddings in the radiological technology field
Authors: Yagahara Ayako , Yokohama Noriya 
Published: December 2023

AbstractThe terminology in radiological technology is crucial, encompassing a broad range of principles from radiation to medical imaging, and involving various specialists. This study aimed to evaluate the accuracy of automatic synonym detection considering the characteristics of the Japanese language by Word2vec and fastText in the radiological technology field for the terminology elaboration. We collected around 340 thousand abstracts in Japanese. First, preprocessing of the abstract data was performed. Then, training models were created with Word2vec and fastText with different architectures: continuous bag-of-words (CBOW) and skip-gram, and vector sizes. Baseline synonym sets were curated by two experts, utilizing terminology resources specific to radiological technology. A term in the dataset input into the generated models, and the top-10 synonym candidates which had high cosine similarities were obtained. Subsequently, precision, recall, F1-score, and accuracy for each model were calculated. The fastText model with CBOW at 300 dimensions was most precise in synonym detection, excelling in cases with shared n-grams. Conversely, fastText with skip-gram and Word2vec were favored for synonyms without common n-grams. In radiological technology, where n-grams are prevalent, fastText with CBOW proved advantageous, while in informatics, characterized by abbreviations and transliterations, Word2vec with CBOW was more effective.
Evidence of an intracellular creatine-sensing mechanism that modulates creatine biosynthesis via AGAT expression in human HAP1 cells
Authors: Tropak Michael B. , Tkachyova Ilona , Gu Ray , Lee Alex , Schulze Andreas 
Published: December 2023

AbstractCellular homeostasis of creatine (CT), integral part of the energy buffering and transducing system connecting intracellular sites of ATP production and utilization, comprises of mechanisms that increase CT, i.e., biosynthesis and cellular uptake, and CT-lowering processes, such as export and non-enzymatic conversion to creatinine. The biosynthesis of CT is controlled by negative feedback loop via suppression of the rate-limiting enzyme arginine:glycine amidinotransferase (AGAT). Although the regulatory mechanism involved is not well understood, AGAT suppression is successfully used in patients with guanidinoacetate methyltransferase (GAMT) deficiency to reduce the neurotoxic accumulation of the AGAT-mediated guanidinoacetate production by supplementing patients with CT. Utilizing the CT-dependent feedback loop for the upregulation of AGAT expression may well represent a therapeutic target for an additional CT deficiency syndrome, the CT transporter (CrT) defect, for which no effective treatment option is available so far. We have used CRISPR to tag the C-terminus of AGAT with a nanoluc luciferase (NLuc) reporter in HAP1 cells. A biphasic decay of AGAT-NLuc in response to increasing extracellular CT was observed, whereas the decrease in AGAT-NLuc expression was directly proportional to the rise in intracellular CT levels with an approximate IC50 of 1–2 mM. CRISPR generated HAP1 CrT null cells and HAP1 CrT null cells stably expressing a CrT-GFP fusion protein further demonstrated that the biphasic response to extracellular CT is mediated by a high-affinity (Km 9–10 µM) CrT dependent, saturable mechanism and a CrT independent, unsaturable uptake process. The direct response to intracellular CT suggests the existence of an intracellular CT sensing system enabling a dynamic cell response to changing CT concentration that is relevant for cellular CT homeostasis.
Research space telescope deployable mechanism variable diameter internal drive device elastic collision contact characteristics in the inter-stage transition
Authors: Guan Yingjun , Huang Weiqi , Wang Hao , Lu Huanquan , Yang Huisheng 
Published: December 2023

AbstractTo address the problem of elastic contact discrepancies between a variable-diameter internal drive device and a non-continuous surface during the transition, caused by the vibrations resulting from elastic collision impact when the motion speed of the elastic body increases, the following steps were taken. First, we established models for elastic collision, impact, and vibration during the inter-stage transition to analyze how motion speed and preload affect the elastic contact characteristics between the two components. Subsequently, we employed the finite element method to further analyze the elastic contact state, using identical loads but varying motion speeds and radial preloads as boundary conditions. Finally, an experimental prototype was developed to validate the elastic contact state of the elastic body during the inter-stage transition. The results indicated that the amplitude of elastic body vibration increased with higher motion speed, while it decreased with higher radial preload. Therefore, it is necessary to adjust radial preload at different times to ensure effective elastic contact between the elastic body and the non-continuous surface during the inter-stage transition. This approach not only enhances deployment speed but also guarantees the stability of the inter-stage transition.
A chain mediation model of inclusive leadership and voice behavior among university teachers: evidence from China
Authors: Liu Chunlei , Wu Min , Chen Xiaoqin 
Published: December 2023

AbstractAs a vital mode in which teachers can participate in university management, voice behavior is an important way of enhancing the efficiency of organizational decision-making, promoting democratic management, and facilitating sustainable development in universities. Although previous studies have confirmed the positive impact of inclusive leadership on employees' voice behavior, the mechanism underlying this effect remains unclear. Therefore, based on the cognitive-affective system theory of personality, this study aims to examine the mediating effects of psychological empowerment and organizational identification on the relationship between inclusive leadership and voice behavior among university teachers. A total of 517 valid questionnaires were administered to university teachers in mainland China using a convenience sampling approach. Structural equation modeling and bootstrap testing were used to analyze the data, and the results reveal that inclusive leadership is positively related to teachers’ promotive and prohibitive voice behavior. This relationship is mediated by psychological empowerment and organizational identification, in which context a partial mediating effect is observed in the relationship between inclusive leadership and promotive voice and a full mediating effect is observed in the relationship between inclusive leadership and prohibitive voice. These findings can enrich the extant research on the impact of inclusive leadership in the field of higher education to a certain extent. Moreover, they provide a new perspective that can support an in-depth analysis of the mechanism underlying the effect of inclusive leadership and generate valuable practical insights into ways of stimulating voice behavior among university teachers.
Prediction of very early subclinical rejection with machine learning in kidney transplantation
Authors: Jo Sung Jun , Park Jae Berm , Lee Kyo Won 
Published: December 2023

AbstractProtocol biopsy is a reliable method for assessing allografts status after kidney transplantation (KT). However, due to the risk of complications, it is necessary to establish indications and selectively perform protocol biopsies by classifying the high-risk group for early subclinical rejection (SCR). Therefore, the purpose of this study is to analyze the incidence and risk factors of early SCR (within 2 weeks) and develop a prediction model using machine learning. Patients who underwent KT at Samsung Medical Center from January 2005 to December 2020 were investigated. The incidence of SCR was investigated and risk factors were analyzed. For the development of prediction model, machine learning methods (random forest, elastic net, extreme gradient boosting [XGB]) and logistic regression were used and the performance between the models was evaluated. The cohorts of 987 patients were reviewed and analyzed. The incidence of SCR was 14.6%. Borderline cellular rejection (BCR) was the most common type of rejection, accounting for 61.8% of cases. In the analysis of risk factors, recipient age (OR 0.98, p = 0.03), donor BMI (OR 1.07, p = 0.02), ABO incompatibility (OR 0.15, p < 0.001), HLA II mismatch (two [OR 6.44, p < 0.001]), and ATG induction (OR 0.41, p < 0.001) were associated with SCR in the multivariate analysis. The logistic regression prediction model (average AUC = 0.717) and the elastic net model (average AUC = 0.712) demonstrated good performance. HLA II mismatch and induction type were consistently identified as important variables in all models. The odds ratio analysis of the logistic prediction model revealed that HLA II mismatch (OR 6.77) was a risk factor for SCR, while ATG induction (OR 0.37) was a favorable factor. Early SCR was associated with HLA II mismatches and induction agent and prediction model using machine learning demonstrates the potential to predict SCR.
Cationic indium catalysis as a powerful tool for generating α-alkyl propargyl cations for SN1 reactions
Authors: Yoshimatsu Mitsuhiro , Goto Hiroki , Saito Rintaro , Iguchi Kodai , Kikuchi Manoka , Wasada Hiroaki , Sawada Yoshiharu 
Published: December 2023

AbstractDehydration is an abundant and promising process in chemical, biochemical, and industrial fields. Dehydration methods can contribute to building a modern and sustainable society with minimal environmental impact. Breakthrough advances in the dehydrative SN1 reaction can be achieved through the discovery of new cationic indium catalysts. Here we show that the breakthrough advances in the dehydrative SN1 reaction can be achieved using the cationic indium catalysts. The dehydrative carbon–carbon bond formation of α-alkyl propargyl alcohols afforded a wide variety of α-aryl- and heteroaryl-propargyl compounds. Mechanistic investigations into this process revealed that the InCl3/AgClO4/Bu4NPF6/1,1’-binaphthol catalytic system generated a powerful cationic indium catalyst that could promote the dehydration of alcohols. Labile α-alkyl propargyl cations were found to self-condense, and the catalyst system efficiently regenerated propargyl cations for reaction with nucleophiles. This propargylation reaction directly proceeded from the corresponding alcohols under mild and open-air conditions and tolerated a broad scope of functional groups. Furthermore, a wide variety of nucleophiles, including aromatic and heteroaromatic compounds, phenols, alcohols, and sulfonamides, reacted with the corresponding cations to afford the propargyl compounds in good to high yields. Finally, the synthetic utility of this reaction was demonstrated by the synthesis of colchicine and allocolchicine analogues. The dehydration process could help create new compounds that were previously impossible to synthesize and is more eco-friendly and efficient than conventional methods.
Optimisation of deep neural network model using Reptile meta learning approach
Authors: Kulkarni Uday , S M Meena , Hallyal Raghavendra , Sulibhavi Prasanna , G Sunil V. , Guggari Shankru , Shanbhag Akshay R. 
Published: December 2023

AbstractThe artificial intelligence (AI) within the last decade has experienced a rapid development and has attained power to simulate human‐thinking in various situations. When the deep neural networks (DNNs) are trained with huge dataset and high computational resources it can bring out great outcomes. But the learning process of DNN is very much complicated and time‐consuming. In various circumstances, where there is a data‐scarcity, the algorithms are not capable of learning tasks at a faster rate and perform nearer to that of human intelligence. With advancements in deep meta‐learning in several research studies, this problem has been dealt. Meta‐learning has outspread range of applications where the meta‐data (data about data) of the either tasks, data or the models which were previously trained can be employed to optimise the learning. So in order to get an insight of all existing meta‐learning approaches for DNN model optimisation, the authors performed survey introducing different meta‐learning techniques and also the current optimisation‐based approaches, their merits and open challenges. In this research, the Reptile meta‐learning algorithm was chosen for the experiment. As Reptile uses first‐order derivatives during optimisation process, hence making it feasible to solve optimisation problems. The authors achieved a 5% increase in accuracy with the proposed version of Reptile meta‐learning algorithm.
Motion vector‐domain video steganalysis exploiting skipped macroblocks
Authors: Li Jun , Zhang Minqing , Niu Ke , Zhang Yingnan , Yang Xiaoyuan 
Published: December 2023

AbstractVideo steganography has the potential to be used to convey illegal information, and video steganalysis is a vital tool to detect the presence of this illicit act. Currently, all the motion vector (MV)‐based video steganalysis algorithms extract feature sets directly from the MVs, but ignoring the embedding operation may perturb the statistical distribution of other video encoding elements, such as the skipped macroblocks (no direct MVs). This paper proposes a novel 11‐dimensional feature set to detect MV‐based video steganography based on the above observation. The proposed feature is extracted based on the skipped macroblocks by recompression calibration. Specifically, the feature consists of two components. The first is the probability distribution of motion vector prediction (MVP) difference, and the second is the probability distribution of partition state transfer. Extensive experiments on different conditions demonstrate that the proposed feature set achieves good detection accuracy, especially in lower embedding capacities. In addition, the loss of detection performance caused by recompression calibration using mismatched quantization parameters (QP) is within the acceptable range, so the proposed method can be used in practical scenarios.
Charakteristika und Outcomedaten von Neugeborenen mit
pränatal nicht diagnostizierter angeborener
Zwerchfellhernie
Authors: Bo Bartolomeo B.L. , Lemloh Lotte , Hale Lennart , Heydweiller Andreas , Strizek Brigitte , Bendixen Charlotte , Schroeder Lukas , Mueller Andreas , Kipfmueller Florian 
Published: December 2023

Zusammenfassung
Einleitung Die angeborene Zwerchfellhernie (CDH) gehört mit einer
Mortalität von 20–35% zu den schwerwiegendsten
neonatalen Fehlbildungen. Aktuell liegt die Rate der pränatal erkannten
CDH’s bei 60–80%. Untersucht wurden Charakteristika und
Outcomedaten von Kindern mit pränatal nicht erkannter CDH.
Methodik Eingeschlossen wurden postnatal diagnostizierte CDH-Neugeborene,
die zwischen 2012 und 2021 am Universitätsklinikum Bonn behandelt
wurden. Verglichen wurden Behandlungs- und Outcomedaten in Abhängigkeit
zur Art der Entbindungsklinik, sowie gemäß der Apgar-Werte.
Ebenso erfolgte der Vergleich von Behandlungs- und Outcomedaten zwischen
pränatal und postnatal diagnostizierter CDH.
Ergebnisse Von 244 CDH-Neugeborenen wurden 22 eingeschlossen. Der
Vergleich bei Geburt in einer Einrichtung mit und ohne pädiatrische
Versorgung ergab für Mortalität: 9% vs. 27%,
p=0,478; ECMO-Rate: 9% vs. 36%, p=0,300; Alter
bei Diagnosestellung: 84 vs. 129 Min, p=0,049; Zeit zwischen Intubation
und Diagnosestellung: 20 vs. 86 Min, p=0,019. Neugeborenen in der
zweiten Gruppe zeigten signifikant schlechtere Werter für pH und pCO2.
Weiterhin zeigte sich eine tendenziell höhere Mortalität und
ECMO-Rate bei Kindern mit einem Apgar-Wert<7 vs.≥7. Kindern mit
postnataler Diagnose hatten signifikant häufiger eine moderate oder
schwere PH, sowie tendenziell häufiger eine kardialer Dysfunktion als
pränatal Diagnostizierte.
Diskussion In unserer Kohorte wurde ca. jedes 10. Neugeborene mit CDH
postnatal diagnostiziert. Die Geburt in einer Einrichtung ohne
pädiatrische Versorgung ist mit einer späteren Diagnosestellung
assoziiert, was eine Hyperkapnie bzw. Azidose mit nachfolgend schwererer
pulmonaler Hypertonie begünstigen kann.
Stereodivergent 1,5-Conjugate Addition with Iminoesters via Pd/Cu Dual Catalysis
Authors: He Zhi-Tao , Yang Zi-Jiang 
Published: December 2023

AbstractThe first stereodivergent umpolung 1,5-conjugate addition reaction via synergistic Pd/Cu catalysts is reported. By dictating the absolute configuration of each chiral ligand ligated to corresponding metals, all four stereoisomers of the products are easily achieved. A series of amino acid moieties are introduced to the γ-position of the conjugated esters in high yields with excellent diastereoselectivities and enantioselectivities. The downstream transformations highlight the synthetic value of the method.
Surgical Approaches for Minimally Invasive Interlocking Nail Osteosynthesis in Dogs
Authors: de Lucena Dayvid Vianêis Farias , Minto Bruno Watanabe , Neto José Aloizio Gonçalves , Ferreira Danyelle Rayssa Cintra , Dias Luís Gustavo Gosuen Gonçalves 
Published: December 2023

Abstract
Objective The aim of this article was to describe, in detail, the safe portals and surgical approaches for minimally invasive interlocking nail osteosynthesis.
Methods Fifteen dog cadavers weighing between 30 and 40 kg were used, 10 for an anatomical study and 5 for creation of the minimally invasive interlocking nail osteosynthesis portals. Anatomical dissections were used to establish landmarks and precise anatomical interrelationships of the surgical approaches for the minimally invasive use of interlocking nails in the tibia, femur, and humerus. Subsequent dissection was made to evaluate potential iatrogenic lesions.
Results The reference points for, and anatomical interrelationships of, the minimally invasive surgical approaches to the tibial, femur, and humerus diaphyses were detailed. No damage to any important neurovascular structures was observed in any cadaver.
Conclusion Safe portals for approaching the humerus, femur, and tibia were described in detail to allow safe application of interlocking nails in a minimally invasive fashion.
Central Nonenhancement Sign in Carotid Body Tumor on CT Angiography
Authors: Mishra Dewansh , Kesavadas Chandrasekharan , Thomas Bejoy , Pujari Vishnu Shivshankar , Ignatius Amalan 
Published: December 2023

AbstractCarotid body tumors are rare benign tumors that arise in the carotid space of neck typically presenting as soft to firm, painless swelling in the neck. While specific imaging characteristics have been previously described for carotid body tumors, we report a new imaging sign in three cases of carotid body tumors on computed tomography angiography.