bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of dietary protein supplementation on recovery from resistance exercise-induced muscle damage: A systematic review with meta-analysis
Authors: Pearson Alice G. , Hind Karen , Macnaughton Lindsay S. 
Published: December 2022

Abstract
Background
It is unknown whether dietary protein consumption can attenuate resistance exercise-induced muscle damage (EIMD). Managing EIMD may accelerate muscle recovery and allow frequent, high-quality exercise to promote muscle adaptations. This systematic review and meta-analysis examined the impact of peri-exercise protein supplementation on resistance EIMD.

Methods
A literature search was conducted on PubMed, SPORTDiscus, and Web of Science up to March 2021 for relevant articles. PEDro criteria were used to assess bias within included studies. A Hedges’ g effect size (ES) was calculated for indirect markers of EIMD at  h post-exercise. Weighted ESs were included in a random effects model to determine overall ESs over time.

Results
Twenty-nine studies were included in the systematic review and 40 trials were included in ≥1 meta-analyses (16 total). There were significant overall effects of protein for preserving isometric maximal voluntary contraction (MVC) at 96 h (0.563 [0.232, 0.894]) and isokinetic MVC at 24 h (0.639 [0.116, 1.162]), 48 h (0.447 [0.104, 0.790]), and 72 h (0.569 [0.136, 1.002]). Overall ESs were large in favour of protein for attenuating creatine kinase concentration at 48 h (0.836 [−0.001, 1.673]) and 72 h (1.335 [0.294, 2.376]). Protein supplementation had no effect on muscle soreness compared with the control.

Conclusion
Peri-exercise protein consumption could help maintain maximal strength and lower creatine kinase concentration following resistance exercise but not reduce muscle soreness. Conflicting data may be due to methodological divergencies between studies. Standardised methods and data reporting for EIMD research are needed.
Scenario-specific aberrations of social reward processing in dimensional schizotypy and psychopathy
Authors: Aldridge-Waddon Luke , Vanova Martina , Elbers Leonie , Puzzo Ignazio , Munneke Jaap , Kumari Veena 
Published: December 2022

AbstractThe feelings of reward associated with social interaction help to motivate social behaviour and influence preferences for different types of social contact. In two studies conducted in a general population sample, we investigated self-reported and experimentally-assessed social reward processing in personality spectra with prominent interpersonal features, namely schizotypy and psychopathy. Study 1 (n = 154) measured social reward processing using the Social Reward Questionnaire, and a modified version of a Monetary and Social Incentive Delay Task. Study 2 (n = 42; a subsample of Study 1) investigated social reward processing using a Social Reward Subtype Incentive Delay Task. Our results show that schizotypy (specifically Cognitive-Perceptual dimension) and psychopathy (specifically Lifestyle dimension) are associated with diverging responses to social scenarios involving large gatherings or meeting new people (Sociability), with reduced processing in schizotypy and heightened processing in psychopathy. No difference, however, occurred for other social scenarios—with similar patterns of increased antisocial (Negative Social Potency) and reduced prosocial (Admiration, Sociability) reward processing across schizotypy and psychopathy dimensions. Our findings contribute new knowledge on social reward processing within these personality spectra and, with the important exception of Sociability, highlight potentially converging patterns of social reward processing in association with schizotypy and psychopathy.
Observation of resonant exciton and correlated plasmon yielding correlated plexciton in amorphous silicon with various hydrogen content
Authors: Prayogi Soni , Asih Retno , Priyanto Budhi , Baqiya Malik A. , Naradipa Muhammad A. , Cahyono Yoyok , Darminto  , Rusydi Andrivo 
Published: December 2022

AbstractHydrogenated amorphous silicon (a-Si: H) has received great attention for rich fundamental physics and potentially inexpensive solar cells. Here, we observe new resonant excitons and correlated plasmons tunable via hydrogen content in a-Si: H films on Indium Tin Oxide (ITO) substrate. Spectroscopic ellipsometry supported with High Resolution-Transmission Electron Microscopy (HR-TEM) is used to probe optical properties and the density of electronic states in the various crystallinity from nano-size crystals to amorphous a-Si: H films. The observed optical and electronic structures are analyzed by the second derivative with analytic critical-point line shapes. The complex dielectric function shows good agreement with microscopic calculations for the energy shift and the broadening inter-band transitions based on the electron–hole interaction. Interestingly, we observe an unusual spectral weight transfer over a broad energy range revealing electronic correlations that cause a drastic change in the charge carrier density and determine the photovoltaic performance. Furthermore, the interplay of resonant excitons and correlated plasmons is discussed in term of a correlated plexciton. Our result shows the important role of hydrogen in determining the coupling of excitons and plasmons in a-Si: H film for photovoltaic devices.
Ocular surface microbiome in diabetes mellitus
Authors: Suwajanakorn Orathai , Puangsricharern Vilavun , Kittipibul Thanachaporn , Chatsuwan Tanittha 
Published: December 2022

AbstractThis cross-sectional, age- and gender-matched study included 20 eyes of non-diabetic subjects (non-DM group) and 60 eyes of type 2 diabetes mellitus (DM group). Subgroups of DM were classified by diabetic retinopathy (DR) staging into no DR (DM-no DR), non-proliferative DR (DM-NPDR), proliferative DR (DM-PDR), and by glycemic control (well-controlled DM; HbA1c < 7%, poorly controlled DM; HbA1c ≥ 7%). Conjunctival swabs were performed for ocular surface microbiome analysis using conventional culture and next-generation sequencing analysis (NGS). A higher culture-positive rate was found in DM (15%) than in non-DM group (5%) (p value = 0.437). Pathogenic organisms and antibiotic-resistant strains were detected in the DR groups (DM-NPDR and DM-PDR). The NGS analysis showed that potentially pathogenic bacteria such as Enterobacteriaceae, Neisseriaceae, Escherichia-Shigella, and Pseudomonas predominated in DM, especially in DR. There was dissimilarity in the ocular surface microbiome between DM and non-DM groups. The subgroup analysis showed that the DR group had significantly different microbial community from DM-no DR and non-DM groups (p value < 0.05). The microbial community in the poorly controlled DM was also significantly different from well-controlled DM and non-DM groups (p < 0.001). Using the NGS method, our study is the first to signify the importance of DR and glycemic control status, which affect the changes in the ocular surface microbiome.
Machine learning multi-omics analysis reveals cancer driver dysregulation in pan-cancer cell lines compared to primary tumors
Authors: Sanders Lauren M. , Chandra Rahul , Zebarjadi Navid , Beale Holly C. , Lyle A. Geoffrey , Rodriguez Analiz , Kephart Ellen Towle , Pfeil Jacob , Cheney Allison , Learned Katrina , Currie Rob , Gitlin Leonid , Vengerov David , Haussler David , Salama Sofie R. , Vaske Olena M. 
Published: December 2022

AbstractCancer cell lines have been widely used for decades to study biological processes driving cancer development, and to identify biomarkers of response to therapeutic agents. Advances in genomic sequencing have made possible large-scale genomic characterizations of collections of cancer cell lines and primary tumors, such as the Cancer Cell Line Encyclopedia (CCLE) and The Cancer Genome Atlas (TCGA). These studies allow for the first time a comprehensive evaluation of the comparability of cancer cell lines and primary tumors on the genomic and proteomic level. Here we employ bulk mRNA and micro-RNA sequencing data from thousands of samples in CCLE and TCGA, and proteomic data from partner studies in the MD Anderson Cell Line Project (MCLP) and The Cancer Proteome Atlas (TCPA), to characterize the extent to which cancer cell lines recapitulate tumors. We identify dysregulation of a long non-coding RNA and microRNA regulatory network in cancer cell lines, associated with differential expression between cell lines and primary tumors in four key cancer driver pathways: KRAS signaling, NFKB signaling, IL2/STAT5 signaling and TP53 signaling. Our results emphasize the necessity for careful interpretation of cancer cell line experiments, particularly with respect to therapeutic treatments targeting these important cancer pathways.
Neutrophil trafficking to the site of infection requires Cpt1a-dependent fatty acid β-oxidation
Authors: Pham Ly , Komalavilas Padmini , Eddie Alex M. , Thayer Timothy E. , Greenwood Dalton L. , Liu Ken H. , Weinberg Jaclyn , Patterson Andrew , Fessel Joshua P. , Boyd Kelli L. , Schafer Jenny C. , Kuck Jamie L. , Shaver Aaron C. , Flaherty David K. , Matlock Brittany K. , Wijers Christiaan D. M. , Serezani C. Henrique , Jones Dean P. , Brittain Evan L. , Rathmell Jeffrey C. , Noto Michael J. 
Published: December 2022

AbstractCellular metabolism influences immune cell function, with mitochondrial fatty acid β-oxidation and oxidative phosphorylation required for multiple immune cell phenotypes. Carnitine palmitoyltransferase 1a (Cpt1a) is considered the rate-limiting enzyme for mitochondrial metabolism of long-chain fatty acids, and Cpt1a deficiency is associated with infant mortality and infection risk. This study was undertaken to test the hypothesis that impairment in Cpt1a-dependent fatty acid oxidation results in increased susceptibility to infection. Screening the Cpt1a gene for common variants predicted to affect protein function revealed allele rs2229738_T, which was associated with pneumonia risk in a targeted human phenome association study. Pharmacologic inhibition of Cpt1a increases mortality and impairs control of the infection in a murine model of bacterial pneumonia. Susceptibility to pneumonia is associated with blunted neutrophilic responses in mice and humans that result from impaired neutrophil trafficking to the site of infection. Chemotaxis responsible for neutrophil trafficking requires Cpt1a-dependent mitochondrial fatty acid oxidation for amplification of chemoattractant signals. These findings identify Cpt1a as a potential host determinant of infection susceptibility and demonstrate a requirement for mitochondrial fatty acid oxidation in neutrophil biology.
Calcium isotope ratios of malformed foraminifera reveal biocalcification stress preceded Oceanic Anoxic Event 2
Authors: Kitch Gabriella D. , Jacobson Andrew D. , Sageman Bradley B. , Coccioni Rodolfo , Chung-Swanson Tia , Ankney Meagan E. , Hurtgen Matthew T. 
Published: December 2022

AbstractOcean acidification causes biocalcification stress. The calcium isotope composition of carbonate producers can archive such stress because calcium isotope fractionation is sensitive to precipitation rate. Here, we synthesize morphometric observations of planktic foraminifera with multi-archive calcium isotope records from Gubbio, Italy and the Western Interior Seaway spanning Cretaceous Ocean Anoxic Event 2 (~94 million years ago). Calcium isotope ratios increase ~60 thousand years prior to the event. The increase coincides with foraminiferal abnormalities and correlates with existing proxy records for carbon dioxide release during large igneous province volcanism. The results highlight Ocean Anoxic Event 2 as a geologic ocean acidification analog. Moreover, decreasing calcium isotope ratios during the event provide evidence for ocean alkalinization, which could have shifted air-sea carbon dioxide partitioning. These data offer an explanation for the Plenus Cold Event and further have implications for refining ocean alkalinity enhancement, a leading anthropogenic carbon dioxide removal strategy.
Neuregulin modulates hormone receptor levels in breast cancer through concerted action on multiple signaling pathways
Authors: Almaraz Postigo Sheila , Montero Juan Carlos 
Published: December 2022

Abstract
The Neuregulins (NRGs) are growth factors that bind and activate ErbB/HER receptor tyrosine kinases. Some reports have described an interplay between this ligand–receptor system and hormonal receptors in breast cancer. However, the mechanisms by which NRGs regulate hormonal receptor signaling have not been sufficiently described. Here, we show that in breast cancer cells the activation of NRG receptors down-regulated ERα through a double mechanism that included post-transcriptional and transcriptional effects. This regulation required the concerted participation of three signaling routes: the PI3K/AKT/mTOR, ERK1/2, and ERK5 pathways. Moreover, these three routes were also involved in the phosphorylation of ERα at serines 118 and 167, two residues implicated in resistance to endocrine therapies. On the other hand, NRGs conferred resistance to fulvestrant in breast cancer cells and this resistance could be reversed when the three pathways activated by NRGs were simultaneously inhibited. Our results indicate that estrogen receptor-positive (ER+) breast tumors that can have access to NRGs may be resistant to fulvestrant. This resistance could be overcome if strategies to target the three main pathways involved in the interplay between NRG receptors and ERα could be developed.
A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification
Authors: Jubair Mohammed Ahmed , Mostafa Salama A. , Mustapha Aida , Salamat Mohamad Aizi , Hassan Mustafa Hamid , Mohammed Mazin Abed , AL‐Dhief Fahad Taha 
Published: December 2022

AbstractAutomating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate assessment metrics, and document the shortcomings as well as possible improvements. In the existing methods, such as Reconstructed Automated Requirement Measurement, and Rendex, some major processes are still handled offline by humans (semi‐automated) or encompass automating the measurement of a few quality attributes due to the mentioned challenges. This paper addressed this gap and proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework to assess the SRS documents by automatically extracting features related to 11 quality attributes through a deep analysis of the SRS textual content. Also, it constructs a flexible platform that is able to minimize the human expert’s role in the SRS assessment. The AQA‐SRS framework integrates Natural Language Processing, K‐means, Multi‐agent, and Case‐Based Reasoning. The AQA‐SRS framework is evaluated by processing two standard SRS datasets and comparing the results with state‐of‐the‐art methods and analysis by software engineering experts. The results show that the AQA‐SRS framework effectively assesses the tested SRS documents and achieves a 78% total agreement with the tested methods and software engineering experts.
Long short‐distance topology modelling of 3D point cloud segmentation with a graph convolution neural network
Authors: Zhang Wen Jing , Su Song Zhi , Hong Qing Qi , Wang Bei Zhan , Sun Li 
Published: December 2022

Abstract3D point cloud segmentation is a non‐trivial problem due to its irregular, sparse, and unordered data structure. Existing methods only consider structural relationships of a 3D point and its spatial neighbours. However, the inner‐point interactions and long‐distance context of a 3D point cloud have been less investigated. In this study, we propose an effective plug‐and‐play module called the Long Short‐Distance Topologically Modelled (LSDTM) Graph Convolutional Neural Network (GCNN) to learn the underlying structure of 3D point clouds. Specifically, we introduce the concept of subgraph to model the contextual‐point relationships within a short distance. Then the proposed topology can be reconstructed by recursive aggregation of subgraphs, and importantly, to propagate the contextual scope to a long range. The proposed LSDTM can parse the point cloud data with maximisation of preserving the geometric structure and contextual structure, and the topological graph can be trained end‐to‐end through a seamlessly integrated GCNN. We provide a case study of triple‐layer ternary topology and experimental results on ShapeNetPart, Stanford 3D Indoor Semantics and ScanNet datasets, indicating a significant improvement on the task of 3D point cloud segmentation and validating the effectiveness of our research.
T‐shaped dielectric resonator antenna with a high antenna gain
Authors: Feng Li Ying , Leung Kwok Wa 
Published: December 2022

AbstractThis Letter proposes a T‐shaped dielectric resonator (DR) antenna (DRA) to achieve a high antenna gain. The proposed antenna comprises a cylindrical DR top‐loaded by a cylindrical DR disk, forming a T‐shaped DRA that can be fabricated in one go. It is excited in the higher‐order HEM115 mode. The DRA was designed in Ku band and fabricated to validate the idea. Its measured peak gain is 16.13 dBi at 13.34 GHz, with a 10‐dB impedance bandwidth of 9.36%. As compared with a conventional DRA, our design has a large gain enhancement of ∼9 dB.
Deciphering emoji variation in courts: a social semiotic perspective
Authors: Pei Jiamin , Cheng Le 
Published: December 2022

AbstractEmojis are increasingly being used as digital evidence in courts due to the miscommunication and misinterpretation arising from the high variability of their usage and interpretation. Emojis in courts have been extensively researched in extant studies, but relatively little attention has been paid to the emoji variation phenomena in Chinese courts. Through an empirical qualitative content analysis of the court judgments in China and the United States and some supplementary materials, this study posits that an emoji’s meaning in courts can be subject to the following six categories of variations: i. variation across platforms, including devices, operating systems, software programs and clients; ii. temporal variation; iii. variation in court cases under different rules of evidence; iv. variation in individual participants; v. variation across social groups; and vi. linguistic-cultural variation. From a social semiotic perspective, emojis as dynamic signs have great meaning potentials, making their meanings context-dependent and interpreter-dependent. For this reason, it is suggested that legal professionals untangle and weave historical, social, cultural and legal contexts into the interpretation of an emoji’s meaning. Moreover, a probe into the contextualized configuration of emojis can offer practical insights into the interpretation of emoji-bearing texts in judicial decision-making as well as the admissibility and investigation of digital evidence in courts.
Building blocks of suspense: subjective and physiological effects of narrative content and film music
Authors: Bente Gary , Kryston Kevin , Jahn Nolan T. , Schmälzle Ralf 
Published: December 2022

AbstractThe current study explores the role of narrative content and non-diegetic music, as well as their interplay in the creation of film suspense. In a between-subjects design, three audience groups watched either the full version (audio–video) of a suspenseful short movie (Love Field) or a video-only version or listened to the audio track only. Audience responses were assessed with a combination of continuous response measurement (CRM) and psychophysiological measures, comprising heart rate (i.e., inter-beat interval, IBI), pulse volume amplitude (PVA), and skin conductance level (SCL). Frame-by-frame content coding was performed to identify distinct plot segments and musical moods (tense vs. relaxing) and mark the critical visual and auditory events that directed the audience’s inferences about the nature of the plot and elicited specific outcome expectations. Results showed that continuous self-report data and objective physiological measures were largely dissociated, suggesting different processing modalities. Tense music alone induced feelings of suspense (CRM) even in the absence of any clues about the story content. Overall, the audio-only version led to the highest arousal levels, as indicated by SCL and PVA, while the video-only version led to the lowest arousal levels. IBI data revealed short-term heart rate deceleration responses to salient narrative clues that could be interpreted in terms of heightened attention and cognitive resource allocation. Results are discussed in light of a multidimensional framework of tension and suspense and a terminological differentiation of both concepts.
Procurement challenges in public-sector agricultural development projects in Bangladesh
Authors: Khan Md. Raquibuzzaman , Tabassum Nazia , Khan Niaz Ahmed , Alam Mohammad Jahangir 
Published: December 2022

AbstractThe purpose of this paper is to identify and evaluate the key challenges to project procurement in public-sector agricultural development projects in Bangladesh. Being exploratory in nature, the study applied the modified Delphi method, the best worst method (BWM), and the interpretive structural modelling (ISM) approach sequentially for the investigation. Ten key procurement challenges were identified and validated through the use of a literature review and two rounds of modified Delphi with the input of 15 experts in the field. Then the BWM was applied to assess the responses of eight industry experts to estimate the relative importance of the challenges. After that, a second panel of ten experts was interviewed using ISM to look at the contextual relationships between the challenges. This led to a four-layer interpretive structural model and MICMAC (cross-impact matrix multiplication applied to classification) analysis of the challenges. Among the 10 key challenges, ‘lack of competent procurement staff’ is found to be the most significant challenge; whereas, based on the inter-relationships among the challenges, ‘political influence’ is identified as the most influential challenge. As a result, it is recommended that relevant professionals and policymakers address these challenges in terms of their relevance, relative dependencies, and influences in a holistic manner. This study addresses a knowledge gap by offering a thorough investigation of the challenges associated with public-sector agricultural project procurement in a developing country’s context. This makes it useful for professionals in the field, academics, policymakers, and future researchers.
A flexible neutron spectrometer concept with a new ultra-high field steady-state vertical-bore magnet
Authors: Winn B. L. , Broholm C. , Bird M. D. , Haberl B. , Granroth G. E. , Katsaras J. 
Published: December 2022

The proposed facility explores materials under ultra-high magnetic fields. By combining the power of high fields to tune materials and of neutron scattering to probe the resulting changes down to the atomic scale, this facility will enable transformative progress in the study of quantum materials and is named for the “TITAN” subset of Greek gods to reflect this transformation. TITAN will offer DC magnetic fields up to at least 20 T. Exploiting the record brightness and bandwidth of the Second Target Station at the Spallation Neutron Source, TITAN will probe atomic-scale responses through high efficiency neutron spectroscopy up to 80 meV energy transfer, high resolution diffraction, and small angle neutron scattering. Focusing neutron optics will maximize flux on accurately positioned samples, while radial collimation and optimized shielding and detection strategies will minimize backgrounds.