bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the dynamic interconnectedness of protective and perpetuating factors of cancer‐related fatigue
Authors: van Roozendaal Anne S. , Schellekens Melanie P. J. , van Woezik Rosalie A. M. , van der Lee Marije L. 
Published: October 2023

AbstractObjectiveApproximately 25% of cancer patients suffer from cancer‐related fatigue (CRF) after cancer treatment. CRF is a multi‐factorial condition affected by several interrelated protective and perpetuating factors. As most studies merely assessed bivariate associations, more insight into the complex relationships among these constructs is needed. We applied the multivariate network approach to gain a better understanding of how patients' fatigue, perpetuating and protective factors are dynamically interconnected.MethodBetween February and August 2022, 30 cancer patients filled out a carefully developed ecological momentary assessment questionnaire (EnergyInSight) five times a day for at least 21 days while being on the waitlist for psychological care for CRF. We performed a multi‐level vector autoregression analysis to examine the interconnectedness among fatigue, protective factors (allowing rest, acceptance, and self‐efficacy) and perpetuating factors (worrying, catastrophizing, and feeling guilty).ResultsIn the contemporaneous network (concurrent associations), higher acceptance and self‐efficacy were associated with lower fatigue, whereas all other factors were associated with higher fatigue. The strongest relationships were between worrying and feeling guilty and between acceptance and allowing rest. In the temporal network (lagged associations), fatigue was related to two factors: higher self‐efficacy preceded lower fatigue, and higher fatigue preceded increased allowing rest.ConclusionsTaking all included factors into account, the networks identified self‐efficacy and allowing rest as key protective factors of CRF. Patients may benefit from psychological interventions that cultivate self‐efficacy, as it seems to pave the way to reduced fatigue.
The alteration of structural network upon transient association between proteins studied using graph theory
Authors: Prabantu Vasam Manjveekar , Tandon Himani , Sandhya Sankaran , Sowdhamini Ramanathan , Srinivasan Narayanaswamy 
Published: October 2023

AbstractProteins such as enzymes perform their function by predominant non‐covalent bond interactions between transiently interacting units. There is an impact on the overall structural topology of the protein, albeit transient nature of such interactions, that enable proteins to deactivate or activate. This aspect of the alteration of the structural topology is studied by employing protein structural networks, which are node‐edge representative models of protein structure, reported as a robust tool for capturing interactions between residues. Several methods have been optimized to collect meaningful, functionally relevant information by studying alteration of structural networks. In this article, different methods of comparing protein structural networks are employed, along with spectral decomposition of graphs to study the subtle impact of protein–protein interactions. A detailed analysis of the structural network of interacting partners is performed across a dataset of around 900 pairs of bound complexes and corresponding unbound protein structures. The variation in network parameters at, around, and far away from the interface are analyzed. Finally, we present interesting case studies, where an allosteric mechanism of structural impact is understood from communication‐path detection methods. The results of this analysis are beneficial in understanding protein stability, for future engineering, and docking studies.
Inorganic‐Organic Nanoarchitectonics: MXene/Covalent Organic Framework Heterostructure for Superior Microextraction
Authors: Wu Jingyu , Wang Zhuo , Zhang Shuaihua , Yang Qian , Li Zhi , Zang Xiaohuan , Zhao Xiaoxian , Shang Ningzhao , Khaorapapong Nithima , Xu Xingtao , Yamauchi Yusuke 
Published: October 2023

AbstractOne of the difficulties limiting covalent organic frameworks (COFs) from becoming excellent adsorbents is their stacking/aggregation architectures owing to poor morphology/structure control during the synthesis process. Herein, an inorganic‐organic nanoarchitectonics strategy to synthesize the MXene/COF heterostructure (Ti3C2Tx/TAPT‐TFP) is developed by the assembly of β‐ketoenamine‐linked COF on the Ti3C2Tx MXene nanosheets. The as‐prepared Ti3C2Tx/TAPT‐TFP retains the 2D architecture and high adsorption capacity of MXenes as well as large specific surface area and hierarchical porous structure of COFs. As a proof of concept, the potential of Ti3C2Tx/TAPT‐TFP for solid‐phase microextraction (SPME) of trace organochlorine pesticides (OCPs) is investigated. The Ti3C2Tx/TAPT‐TFP based SPME method achieves low limits of detection (0.036–0.126 ng g−1), wide linearity ranges (0.12–20.0 ng g−1), and acceptable repeatabilities for preconcentrating trace OCPs from fruit and vegetable samples. This study offers insights into the potential of constructing COF or MXene‐based heterostructures for the microextraction of environmental pollutants.
Improving the Oxygen Evolution Reaction: Exsolved Cobalt Nanoparticles on Titanate Perovskite Catalyst
Authors: Zuo Shangshang , Liao Yuan , Wang Chenchen , Naden Aaron B. , Irvine John T. S. 
Published: October 2023

AbstractPerovskites are an important class of oxygen evolution reaction (OER) catalysts due to highly tunable compositions and adaptable characteristics. However, perovskite‐based catalysts can have limited atom utilization efficiency due to large particle size, resulting in low mass activity. Herein, Cobalt nanoparticles are exsolved from La0.2+2xCa0.7‐2xTi1‐xCoxO3 perovskite and applied in OER. Upon reduction in the 5% H2/N2 atmosphere at 800 °C for 2 h, the Co exsolved perovskite catalyst (R‐LCTCo0.11) exhibits optimal OER performance. The mass activity of R‐LCTCo0.11 reaches ≈1700 mA mg−1 at an overpotential of 450 mV, which is 17 times and 3 times higher than that of LCTCo0.11 (97 mA mg−1) and R‐Mix (560 mA mg−1) catalysts respectively, surpassing the benchmark catalyst RuO2 (42.7 mA mg−1 of oxide at η = 470 mV). Electrochemical impedance spectroscopy (EIS) data reveals that R‐LCTCo0.11 has the lowest charge transfer resistance (Rct = 58 Ω), demonstrating the highest catalytic and kinetic activity for OER. Furthermore, this catalyst shows high stability during an accelerated durability test of 10 h electrolysis and 1000 cycles cyclic voltammetry (CV). This work demonstrates that nanoparticle exsolution from a doped perovskite is an effective strategy for improving the atom utilization efficiency in OER.
Exosomes: Toward a potential application in bladder cancer diagnosis and treatment
Authors: Wei Xiaowei , Zhang Dagan , Zhu Yefei 
Published: October 2023

AbstractBladder cancer (BC) is a prevalent malignant tumor of the urinary system, known for its rapid progression and high likelihood of recurrence. Despite ongoing efforts, clinical diagnosis and treatment of BC remain limited. As such, there is an urgent need to investigate potential mechanisms underlying this disease. Exosomes, which contain a variety of bioactive molecules such as nucleic acids, proteins, and lipids, are regarded as extracellular messengers because they are implicated in facilitating intercellular communication in various diseases and are pivotal in tumor advancement, serving as a promising avenue for such researches. Nevertheless, the heterogeneous nature of BC necessitates further exploration of the potential involvement of exosomes in disease progression. This review comprehensively outlines the biological attributes of exosomes and their critical roles in tumorigenesis, while also discussing their potential applications in regulating the progression of BC involving clinical diagnosis, prognostication and treatment.
Dual Starch Modifications to Expand Its End‐Uses: A Review
Authors: Lagunes‐Delgado Carolina , Agama‐Acevedo Edith , Bello‐Pérez Luis A. 
Published: October 2023

AbstractStarch is a polysaccharide with diverse functionalities as a thickener and a gelling and water retention agent. These activities impact in the sensory, functional, and digestibility characteristics of the products where it is used as an ingredient. Native starch has diverse drawbacks, such as low resistance to acid conditions, syneresis, and sensitivity to high shear rates, among others. Those disadvantages are overcome by chemical, physical, and enzymatic modifications. In the last decade, the use of dual‐modified starch has been suggested to expand its applications, and eco‐friendly modifications are recommended. This review is designed to identify the effect of double modifications on starch structure, functionality, and digestibility characteristics considered by food manufacturers to develop new or improved products. The increase in the starch degree of substitution by dual modification is key to incipient applications, such as 3D printing, biodegradable packing materials with high mechanical resistance, and foods with slow resistance to enzymatic hydrolysis.
Assessing the relationship between somatic cell count and the milk mid‐infrared spectrum in Chinese Holstein cows
Authors: Du Chao , Ren Xiaoli , Chu Chu , Ding Lei , Nan Liangkang , Sabek Ahmed , Hua Guohua , Yan Lei , Zhang Zhen , Zhang Shujun 
Published: October 2023

AbstractBackgroundMilk produced by dairy cows is a complex combination of many components, but the effect of mastitis has only been investigated for a few of these components. Milk mid‐infrared (MIR) spectra can reflect the global composition of milk, and this study aimed to detect the relationships between milk MIR spectral wavenumbers and milk somatic cell count (SCC)—a sensitive biomarker for mastitis.MethodsPearson correlation analysis was used to calculate the correlation coefficient between somatic count score (SCS) and spectral wavenumbers. A general linear mixed model was applied to investigate the effect of three different classes of SCC (low, middle and high) on spectral wavenumbers.ResultsThe mean correlation coefficient between the ‘fingerprint region’ (wavenumbers 925–1582 cm–1) and the SCS was higher than that for other regions of the MIR spectrum, and the specific wavenumber with the strongest correlation with the SCS was within the ‘fingerprint region’. SCC class had a significant (p < 0.05) effect on 639 spectral wavenumbers. In particular, some spectral wavenumbers within the ‘fingerprint region’ were highly affected by the SCC class.LimitationThe data were collected from only one province in China, so the generalisability of the findings may be limited.ConclusionSCC had close relationships with milk spectral wavenumbers related to important milk components or chemical bonds.
Management of neuroanaesthesia in a ewe undergoing craniotomy for coenurosis cyst removal
Authors: Gavet Morgane , Frikha Ridha , Junot Stéphane 
Published: October 2023

AbstractCoenurosis is a parasitic disease affecting the central nervous system of small ruminants. This case describes the anaesthetic management of a ewe undergoing craniotomy for associated‐brain cyst removal. As small ruminants are food‐producing animals, there is limited access to veterinary medicinal products, and choosing an appropriate anaesthetic protocol is challenging. After premedication with detomidine (0.03 mg/kg intramuscularly) and butorphanol (0.1 mg/kg intravenously), anaesthesia was induced with lidocaine (1 mg/kg) and ketamine (2 mg/kg intravenously), and maintained with isoflurane in oxygen, using controlled mechanical ventilation. The animal was placed in sternal recumbency, with the head slightly elevated. A lidocaine incisional infiltration was performed, and dexamethasone (0.06 mg/kg intravenously) was administered. Vital parameters remained stable throughout anaesthesia, but moderate agitation was noticed at recovery, treated with butorphanol (0.05 mg/kg intravenously). While the ewe showed clinical improvement initially, its neurological status deteriorated in the following days, leading to euthanasia. Postmortem examination revealed intracranial haematoma.
Bilateral intracochlear schwannomas: histopathological confirmation and outcomes following tumour removal and cochlear implantation with lateral wall electrodes
Authors: Quick Mark E. , Withers Shannon , Plontke Stefan K. , Chester-Browne Ronel , Kuthubutheen Jafri 
Published: October 2023

AbstractIntracochlear schwannomas (ICS) are very rare benign tumours of the inner ear. We present histopathological proof of the extremely rare bilateral occurrence of intracochlear schwannomas with negative blood genetic testing for neurofibromatosis type 2 (NF2). Bilateral schwannomas are typically associated with the condition NF2 and this case is presumed to have either mosaicism for NF2 or sporadic development of bilateral tumours. For progressive bilateral tumour growth and associated profound hearing loss, surgical intervention via partial cochleoectomy, tumour removal, preservation of the modiolus, and simultaneous cochlear implantation with lateral wall electrode carrier with basal double electrode contacts was performed. The right side was operated on first with a 14-month gap between each side. The hearing in aided speech recognition for consonant-nucleus-consonant (CNC) phonemes in quiet improved from 57% to 83% 12 months after bilateral cochlear implantation (CI). Bilateral intracochlear schwannomas in non-NF2 patients are extremely rare but should be considered in cases of progressive bilateral hearing loss. Successful tumour removal and cochlear implantation utilizing a lateral wall electrode is possible and can achieve good hearing outcomes.
Satisfactory patient‐reported outcomes in patients treated with impaction bone grafting and autologous matrix‐induced chondrogenesis for osteochondral knee defects
Authors: Mitrousias Vasileios , Chalatsis Georgios , Mylonas Theodoros , Siouras Athanasios , Stergiadou Stella , Panteliadou Freideriki , Vlychou Marianna , Hantes Michael 
Published: October 2023

AbstractPurposeOsteochondral knee defects usually affect young, active patients and may alter knee biomechanics and progressively lead to joint degeneration. Various treatment options exist with autologous, impaction bone grafting in combination with autologous matrix‐induced chondrogenesis (BG‐AMIC) being a less‐expensive, one‐step, promising option. The purpose of this study is to evaluate the clinical and radiological mid‐term outcomes of large osteochondral lesions treated with BG‐AMIC, identify a possible correlation between the two and report postoperative complications and reoperation rate.MethodsA retrospective analysis of 25 patients treated with the BG‐AMIC technique for knee osteochondral lesions was performed. Patients were assessed using the following PROMs: the IKDC, the KOOS and the Lysholm score, the Tegner activity scale and a patient acceptable symptom state (PASS). The EQ‐5D‐5L score was used to assess health‐related quality of life. Radiological assessment was performed using the MOCART 2.0 score on a 3 T MRI.ResultsAt a mean of 3.8 (± 0.8)‐year follow‐up, all functional scores increased significantly (p < 0.005) when compared to the preoperative baseline. IKDC increased from 44.5 (± 15.9) to 81.4 (± 14.7), KOOS from 41.5 (± 16.1) to 91.6 (± 11.6) and Lysholm from 54.4 (± 23) to 95.2 (± 5.5) (p < 0.005). The EQ‐5D‐5L score also revealed a significant improvement [59.9 (± 25) to 93.4 (± 10.2), p < 0.005]. Mean Tegner score reached pre‐injury levels. The PASS was positive in 100% of patients. The minimum clinically important difference was reached in all PROMs except for the KOOS Sports subscale. There were no re‐operations. Morphological evaluation of the repair tissue using the MOCART 2.0 score revealed a mean total score of 52.8 (± 30.5). A statistically significant, positive correlation was found between the MOCART 2.0 score and the IKDC score, the KOOS ADL subscale and the EQ‐5D‐5L (p < 0.05).ConclusionBG‐AMIC is a safe and reliable option for treating deep, knee osteochondral lesions, providing a statistically significant and clinically important improvement in patient‐reported outcomes. No complications were noticed, and no re‐operations were performed after the procedure. A moderate positive correlation between the MOCART 2.0 score and the IKDC, KOOS ADL and EQ‐5D‐5L was noticed. However, this correlation is not necessarily clinically relevant, and excellent clinical results can be expected even in patients with low MOCART scores.Level of evidenceIII.
Bariatrisch-metabolische Operationstechniken
Authors: Schäfer Aline-Louise 
Published: October 2023

ZusammenfassungBariatrisch-metabolische Operationen gelten als die effektivste Therapiemöglichkeit der morbiden Adipositas. In Langzeitstudien konnten sehr gute Erfolge bei der Reduktion des Übergewichts und bei der Behandlung Adipositas-assoziierter Komorbiditäten (u. a. arterielle Hypertonie, Diabetes mellitus Typ 2) gezeigt werden. Die bariatrischen Operationstechniken beruhen auf dem Wirkungsprinzip der Restriktion und Malabsorption. Die damit verbundenen metabolischen Effekte, die z. T. unabhängig vom Gewichtsverlust und der Kalorienreduktion schon früh postoperativ einsetzen, werden derzeit intensiv beforscht. Die am häufigsten angewandten restriktiven Verfahren sind Schlauchmagen, Magenband, Magenfaltung und Magenballon. Beim Magenbypass, der biliopankreatischen Diversion (mit und ohne duodenalem Switch) und dem „single anastomosis duodenal-ileal-bypass“ mit Sleeve werden die Wirkprinzipien kombiniert. Die Eingriffe werden üblicherweise laparoskopisch durchgeführt und haben akzeptable Komplikationsraten. Postoperativ sind lebenslange Stoffwechselkontrollen und Substitution mit Vitaminen und Spurenelementen (insbesondere bei malabsorptiven Verfahren) erforderlich, um einer Malnutrition vorzubeugen.
Duality and stable compactness in Orlicz-type modules
Authors: Orihuela José , Zapata José M. 
Published: October 2023

AbstractOrlicz-type modules are module analogues of classical Orlicz spaces. We study duality and stable compactness in Orlicz-type modules. We characterize the conditional Köthe dual of an Orlicz-type module as the space of all $$\sigma $$
σ
-order continuous module homomorphisms. We find an order continuity criterion for stable compactness in Orlicz-type modules. As an application, we obtain a robust representation result for conditional risk measures on Orlicz spaces.
Assessment of three mixed arrays dataset for subsurface cavities detection using resistivity tomography as inferred from numerical modelling
Authors: Dosoky Wael 
Published: October 2023

AbstractThe present study deals with the evaluation of a three-mixed array dataset for the detection of subsurface cavities using conceptual air-filled cavity model sets at different depths. Cavity models were simulated using the forward modelling technique to generate synthetic apparent resistivity data for three common individual arrays. These arrays are dipole–dipole (DD), pole–dipole (PD), and Wenner–Schlumberger (WS). The synthetically apparent resistivity data obtained from two different individual arrays were merged to form a high-resolution single model. Consequently, three possible mixed arrays datasets can be obtained: the dipole–dipole-Wenner–Schlumberger (DD+WS), pole–dipole, and Wenner–Schlumberger (PD+WS), and dipole–dipole and pole–dipole (DD+PD). The synthetically apparent resistivity data for both the individual and mixed arrays were inverted using Res2dinv software based on the robust constrain inversion technique to obtain a 2D resistivity model section. The inverted resistivity sections were evaluated in terms of their recovering ability of the model’s parameters (e.g. resistivity, and geometry). The results show that the individual arrays can resolve the location and dimensions of the cavity within reasonable accuracy only at a depth not exceeding 6 m below the surface. On the other hand, a significant resolution enhancement in model resistivity with increasing depth was observed when the mixed arrays were used. The (DD+WS) mixed arrays dataset brings up better model resistivity and shows closer parameters to the true actual model among the other mixed arrays. So it is strongly recommended for cavity detection studies.
A Class of Estimators for Estimation of Population Mean Under Random Non-response in Two Phase Successive Sampling
Authors: Basit Zeeshan , Masood Saadia , Bhatti Ishaq 
Published: October 2023

AbstractThis paper presents some efficient classes of estimators of population mean on current occasion in the presence of random non-response under a two-phase successive sampling set-up. The suggested classes of estimators are proposed for simple random sampling under various situations of non-response. The properties of proposed estimators have been discussed up to first order of approximation. The efficiency of the presented estimators has been contrasted with the estimators for the complete response scenarios. Two real and two artificially generated data sets are used. The efficacy of the proposed classes of estimators over the existing estimators is checked theoretically and empirically. The numerical comparison supports the proposed estimators.
Uncovering the Underlying Causes of Severe Acute Hepatitis of Unknown Aetiology in Children: A Comprehensive Review
Authors: AlShurman Maria , AlShurman Bara’ Abdallah , Sehar Hibah , Evans Amy , Alzoubi Tala , Mac Christina , Butt Zahid Ahmad 
Published: October 2023

Abstract
Background
Since October 2021, multiple paediatric cases of severe acute hepatitis of unknown aetiology (SAHUA) not caused by hepatitis A–E viruses have been reported by multiple countries. As of 14 September 2022, approximately 1296 probable cases of SAHUA in 37 countries and regions had been reported.

Objectives
The purpose of this study was to present a complete picture of this outbreak, including its origin, current cases, clinical signs, possible hypotheses, and potential treatments.

Methods
A thorough search for literature from October 2021 to September 2023 was performed in the PubMed and Medline databases. Additional websites, including the WHO, CDC, ECDC, and the UKHSA, were searched for further relevant data.

Results
Common clinical symptoms include jaundice, vomiting, pale stools, diarrhoea, abdominal pain, and nausea, whereas fever is infrequent. Elevated AST and ALT are prevalent, and most cases test positive for adenovirus. However, immunohistochemical staining on liver tissue often yields negative results for adenovirus, thus challenging the hypothesis that adenovirus is a definitive cause. A recent compelling hypothesis has implicated AAV-2 as a likely etiologic agent of SAHUA in paediatric cases involving abnormal AAV-2 replication products and immune-mediated hepatic disease. Evidence of low immunogenicity, tissue tropism, and immune responses supports this hypothesis. SARS-CoV-2's role has also been explored. Some SAHUA cases have SARS-CoV-2 IgG positivity even when PCR tests are negative, thereby suggesting silent prior infections. Cidofovir, a suggested treatment for severe human adenovirus infection in immunocompromised patients, has not decreased adenoviral load in two cases. Notably, 29 deaths have been reported, and 55 cases have required or received liver transplant.

Conclusion
SAHUA in children presents a complex challenge with potential involvement of AAV-2 and immune-mediated factors. SARS-CoV-2 may affect disease severity—a possibility warranting further investigation. Treatment options include diagnostics, supportive care, antivirals, and immunosuppression. Prevention relies on infection control measures, and management requires advanced diagnostics and international collaboration. SAHUA remains an enigma, thus underscoring the need for continued research and adaptability to emerging infectious threats.