bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reviewing Islamic Counseling Through The Concept of Religious Coping
Authors: Wardhani Nurul , Iskandarsyah Aulia , Ninin Retno Hanggarani 
Published: June 2023

<span>The results of field studies obtained results regarding the process of Islamic counseling work on Muslim client. Data was obtained through interviews conducted with two speakers, each of whom was a practitioner of Muslim psychology who carried out Islamic counseling services and a Muslim client. Processing data through testing the validity of data with data/source triangulation techniques. Data analysis using the Miles &amp; Huberman model. The Islamic counseling work process is then explored through the concept of religious coping. In reviewing the concepts of religious coping, all stages in the series of processes of Islamic counseling work include the use of the concept of positive religious coping in all different types of religious functions. However, there is a concept of belief/faith/<em>fitrah</em> as an aspect targeted in Islamic counseling that cannot be correctly explained through the concept of religious coping. </span>
Synthesis and Evaluation of Platinum Nanoparticles Using F. Carica Fruit Extract and Their Antimicrobial Activities
Authors: Taha Jenan Hussien , Abbas Nada Khudair , Al- Attraqchi Azhar A. F. 
Published: June 2023

في هذا البحث، تم التوصل لطريقة جديدة بسيطة للتخليق الأخضر لجسيمات البلاتين النانوي (Pt NPs) باستخدام مستخلص التين. في الوقت نفسه، تم فحص خواص هيكل والمورفولوجيا لـ لجسيمات البلاتين النانوي المُصنَّع بدقة. على وجه الخصوص، أظهرت جسيمات البلاتين النانوية Pt NPs)) التي تم الحصول عليها شكلًا كرويًا بمدى قطر يبلغ 5-30 نانومتر ومتوسط ​​جذر يبلغ 9.48 نانومتر باستخدام مجهر النافذ الإلكتروني (TEM) ومجهر القوة الذري (AFM)، على التوالي. بالإضافة إلى ذلك، تم فحص المنتج النهائي لجسيمات البلاتين النانوية (Pt NPs) كعامل مضاد للفطريات ومضاد للبكتيريا ضد نوعين Candida وAspergillus بالإضافة إلى Staphyllococcus aureus موجبة الجرام وAcinetobacter سالبة الجرام على التوالي. وفقًا لذلك، أظهرت البلاتين النانوي المُصنَّع مناطق تثبيط تبلغ 36 ملم و28 ملم ضد الأنواع الفطرية والبكتيرية، على التوالي. تلعب جسيمات البلاتين النانوية المقدمة دورًا نشطًا في كل من الأنشطة المضادة للفطريات والبكتيريا والتي تشير إلى وجود نظام مواد نانوية جيدًا للتطبيق الطبي الحيوي.
A Practical and Innovative Workflow to Support the Numerical Simulation of CO2 Storage in Large Field-Scale Models
Authors: Barbosa Machado Marcos Vitor , Delshad Mojdeh , Sepehrnoori Kamy 
Published: June 2023

Summary
Numerical simulation of the CO2 storage process in porous media, such as in hydrocarbon (gas or oil) depleted reservoirs and in saline aquifers, has been the most indicated tool due to its ability to represent CO2 capacity and the different trapping mechanisms that retain CO2 in the subsurface. Given the complexity of the physicochemical phenomena involved, the modeling needs to incorporate multiphase flow, complex representation of fluids, rock, and rock-fluid interaction properties. These include CO2 reactions with aqueous species and with reservoir rock minerals, in addition to the structural and stratigraphic aspects of the reservoir heterogeneity. These phenomena need to be represented on suitable temporal and spatial scales for accurate predictions of their impacts. Currently, many studies are focused on simulating submodels or sectors of the reservoir, where using finer grids is still practical. This level of grid refinement can be prohibitive, in terms of simulation times, for modeling the entire reservoir. To address this challenge, we propose a new and practical workflow to simulate CO2 storage projects in large field-scale models. When the proposed workflow is applied in both synthetic and real field cases, simulation time is reduced by up to 96% compared to that of the fine-grid model, preserving the same results in representing the aforementioned mechanisms. The workflow is based on classical and standard approaches to handle the high simulation time, but in this study, they are structured and sequenced in three steps. The first one considers the most relevant mechanisms for CO2 storage, ranked from a high-resolution sector model. With the mechanisms prioritized in the previous step, a single-phase upscaling of petrophysical properties can be applied in the field-scale model, followed by adopting a grid with dynamic sizing. The proposed methodology is applied to saline aquifer models in this study, but it can be extended for storage in depleted hydrocarbon reservoirs.
Experimental study on surface residual stress and hardness of rotary ultrasonic grinding of titanium matrix composites
Authors: Dong Guojun , Liu rongsong , WANG Yukui , GUO Zhiqing , Lai Ruida 
Published: June 2023

Abstract
TiBw mesh reinforced titanium matrix composites were investigated by rotary ultrasonic grinding experiments using nickel-based electroformed diamond grinding wheel and building a single diamond abrasive grain model and a 2D rotary ultrasonic grinding finite element model. Surface residual stress is obtained by simulation and verified by univariate experiments. Combined with nanoindentation experiments, the changes of residual stress and hardness were acquired. The results show that the reinforced phase fibers will be subjected to high mechanical stress which break the fibers and turn into chips with matrix material. The residual stress of TiBw-rich region is closer to the actual value due to the high elastic modulus and low residual strain of TiB. Residual compressive stress around − 500MPa exists in the surface of workpiece under different process parameters. As the grinding depth increases, the residual stress increases first and then decrease. At the same time, the residual stress increases as the feed speed increase. And the residual stress decreases remarkably as the spindle speed increases. Meanwhile, the work hardening of workpieces changes similarly as the residual stress. The error between experiment and simulation is under 10%, which verified the effectiveness of the finite element model.
Cross-modal Graph Contrastive Learning with Cellular Images
Authors: Rao Jiahua , Li Chengtao , Zhang Jixian , Yang Yuedong , Zhou Lianyu , Cohen Ethan , Lu Wei , Zheng Shuangjia 
Published: June 2023

Abstract
Constructing discriminative representations of molecules lies at the core of a number of domains such as drug discovery, chemistry and medicine. State-of-the-art methods employ graph neural networks (GNNs) and self-supervised learning (SSL) to learn the structural representations from unlabeled data, which can then be fine-tuned for downstream tasks. Albeit powerful, these methods that are pre-trained solely on molecular structures often struggle with the tasks involved in intricate biological processes. To cope with this challenge, we propose using high-content cell microscopy images to assist in learning molecular representation. The fundamental rationale of our method is to leverage the correspondence between molecular topological structures and the caused perturbations at the phenotypic level. By incorporating cross-modal pre-training with multiple types of contrastive loss functions within a unified framework, our model can efficiently learn generic and informative representations from cellular images, which are complementary to molecular structures. Extensive experiments demonstrated that the proposed model transfers non-trivially to a range of downstream tasks and is often competitive with the existing SSL baselines, e.g., a 15.4\% absolute Hit@10 gains in graph-image retrieval task and a 4.0% absolute AUC improvement in clinical outcome predictions. Further zero-shot experiments with cDNA-induced images suggest that our approach has significant potential in bridging small molecule therapeutic regimens with other therapeutic modalities through cellular embeddings
Sustainable rebuilding of forest cover in deforested agricultural landscapes in Côte d'Ivoire: Reconciling farmers' objectives with governance
Authors: Gnangoh Juvenal Zahoui , Kouamé Christophe , Minang Peter , Atangana Alain René 
Published: June 2023

Abstract
Commodity production in Côte d'Ivoire has led to significant forest loss, prompting interest in promoting forest restoration in agricultural landscapes. This study analyzed interviews with 1,752 cocoa farmers in 24 protected forests, representing 59.48% of the protected areas in the cocoa production zone. Farmers cited arable land scarcity, low soil fertility, and poor forest control as reasons for forest infiltration. They are willing to introduce 57 woody species, including 32 indigenous species, in and around the surveyed protected areas. Farmers assigned bequest values to preserved forest patches, and economic values to woodlands varied by farmers' origin. Actions to sustain woodland preservation were proposed, and the findings will aid decision-making on land use and forest regulation for restoration in Côte d'Ivoire.
Rock music improvisation shows increased activity in Broca’s area and its right hemisphere homologue related to spontaneous creativity
Authors: Tachibana Atsumichi , Noah J Adam , Ono Yumie , Irie Shun , Tatsumoto Muneto , Taguchi Daisuke , Tokuda Nobuko , Ueda Shuichi 
Published: June 2023

Abstract
Objective: The neural correlates of creativity are not well understood. We have previously shown that the subjective degree of creativity during improvisational guitar performance in rock music correlates with a degree of deactivation in the left Brodmann area 46 (BA46L) regardless of skill. Here, we tested additional hypotheses concerning prefrontal regions commonly activated during guitar improvisation.
Results: Twenty guitarists performed improvised and formulaic blues rock sequences while cerebral blood flow was recorded using functional near-infrared spectroscopy. We identified a new finding of significant hemodynamic response in Broca’s area (BA45L) and its right hemisphere homologue during improvised playing but not in formulaic playing. Our results indicated that bilateral BA45 activity is common during creative processes that involve improvisation, across all participants regardless of subjective feeling, skill, age, difficulty, history, or amount of practice. Contrary to previous results that have reported the contribution of subjective feelings of creativity to neural network modulation of BA46L, which is proposed to play a role in the creative process, our findings suggest that concurrent activity in BA45 is related to sustained execution of improvisation in motor control, analogous to motor planning with control of speech.
Low-dose Naltrexone (LDN) extends healthspan and lifespan through activation of the transcription factor SKN-1/NRF2 in C. elegans.
Authors: Li Weisha , McIntyre Rebecca , Schomakers Bauke , Kamble Rashmi , Luesink Anne , Weeghel Michel van , Houtkooper Riekelt , Gao Arwen , Janssens George 
Published: June 2023

Abstract
Aging is a topic of urgency and importance, particularly as the world's aging population continues to grow. Numerous studies have been conducted to identify potential interventions that can improve health and promote longevity, however few are close to implementation. One promising approach to accelerate the implementation is drug repurposing, or using existing drugs for new indications. Here, we selected naltrexone by repurposing existing drugs from the Library of Integrated Network-based Cellular Signatures (LINCS) with several selection criteria. In recent decades, there has been increasing attention and use of low-dose naltrexone (LDN) as an adjunct treatment modality for cancers, autoimmune diseases, chronic pain and mental health issues. We found that a low, but not high dose of naltrexone extended both healthspan and lifespan in C. elegans worms. Further analysis revealed that LDN treatment-induced longevity was dependent on SKN-1 (NRF2 in mammals) signaling. Moreover, LDN treatment not only increased the expression of innate immune genes but also activated the oxidative stress response in worms, which could be abolished by inhibition of SKN-1/NRF2. Overall, paired with LDN’s low side effects profile, our study highlights the great potential of LDN to be repurposed as a geroprotector for promoting healthy aging and suggests further research in humans is warranted.
Demographic Influence on the Effectiveness of England's SARS-CoV-2 Policies
Authors: Dhada Maharshi , Montes Jazmin Labra 
Published: June 2023

Abstract
Health data is key for the development of medicinal drugs, treatments, and policy-planning to control the spread of infectious diseases. However, the collection, curation, and interpretation of health data is often biased. This paper discusses England-wide impact of public policies to control the spread of SARS-CoV-2 (Covid-19) infections, based on the recorded per-capita infection cases between July 2020 to January 2023. The analysis presented herewith highlights the disparities across the upper local tier authorities, in the number of Covid-19 cases recorded in response to the policies. This paper further presents the correlation between the Covid-19 cases count and demographic factors, thus identifying the key factors determining the effectiveness of the NHS policies. This in turn highlights the need for incorporating demographic imbalance in the policy planning process. It is concluded that the upper local tier authorities comprise of three clusters of low, mid, and high prevalence of Covid-19 infections. Where the regions with high prevalence of Covid-19 cases are associated with relatively higher proportions of Black/ Mixed racial groups, amongst a mid-range and low internal Migrations.
Serum Alanine Levels in Perinatal Asphyxia and Neonatal Hypoxic-Ischaemic Encephalopathy
Authors: Clifford Danielle , O'Boyle Darragh , Garvey Aisling , Dempsey Eugene , Costelloe Seán , Bierau Jörgen , Boylan Geraldine , Walsh Brian , Murray Deirdre 
Published: June 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Retrospective diagnostic co-factors among Covid-19 cases sourced from Medicare, 1999-2021: an all-cause mortality review
Authors: Williams Nick 
Published: June 2023

Abstract
Introduction:
SARS-CoV-2 infections co-occurred with other diverse pre-existing clinical conditions in mortality cases. We use encounter level health data to evaluate the impact of non-Covid-19 diagnostic events on all-cause mortality observed among Covid-19 positive cases billing Medicare. We further investigate prior diagnostic codes which occur in pre-pandemic study years among cases presenting to Medicare clinically with Covid-19 and cases with Covid-19 who experience all-cause mortality to inform patient population management.
Methods:
We aggregated encounter level records sourced from all Medicare beneficiaries from 1999-2021. Odds ratios were constructed using diagnostic history, age decile, study year and survival status.
We used Generalized Linear Model (GLM) to predict the Decedent Observation Odds Ratio (DOOR) from study year, case observation odds ratio, age decile, non-covid conditions within counts of distinct covid-ever cases and their decedents. Odds ratios are relative to covid-never cases, or cases who didnot present with Covid-19 clinically.
Results:
High explanatory DOOR measures are observed for diagnostic codes commonly associated with inpatient Covid-19 mortality. High DOOR measures are also observed for individuals living with specific kinds of cancers, experiencing cardiac arrest or acute tubular necrosis.
Conclusion:
Covid-ever mortality is influenced by primary infection itself and exacerbations of pre-existing conditions. Consequences of primary infection are observable in GLM, as well as meaningful prior clinical risk factors such as cancer, diabetes, cardiac and respiratory disease. Long-covid conditions require surviving Covid-19 clinical presentation and are predictable from GLM models.
An abrupt shift in gross primary productivity over Eastern China-Mongolia
Authors: Lee Dan-bi , Kim Jin-Soo , Kug Jong-Seong , Park Sowon 
Published: June 2023

Abstract
The terrestrial ecosystem in East Asia exhibits significant variability in the gross primary productivity (GPP), especially in semi-arid regions that are vulnerable to climate change. This GPP variation significantly modulates the local carbon budget, but our understanding of this and the underlying mechanism is still lacking. Here, we examine the GPP variability in East Asia and its relationship with climate change over the last three decades. We identify an abrupt decrease in GPP over the Eastern China-Mongolia region around the year 2000. This is attributed to an abrupt decrease in precipitation associated with the phase shift of the Pacific decadal oscillation. Of the twelve offline land surface models, eight could simulate this abrupt response, while the others fail due to the combination of exaggerated CO2 fertilization effect and underrated climate impact. For accurate prediction, it is necessary to improve the sensitivity of the GPP to changes in CO2 concentrations and the climate system.
Boson and two-dimensional cluster model composed of quenching disorder eigenvalues and eigenvectors in the glass transition
Authors: Wu Jialin 
Published: June 2023

Abstract
Glass state problem stems from the failure of mean-field hard-sphere molecule (HSM) as quasi-independent particle. Starting from the absolute temperature, the collision satisfying de Gennes n = 0 second-order delta vector condition is a clustered collision, coupled electron-pair interface excited state emerges at the overlapping interface-plane of 0.27%, making the two HSMs suddenly become an Ising spin state, called the quenching disorder eigenvalue (QDE). Discover the space-time geometry of disordered systems: each HSM can make cluster-contact with the 16 sequentially spatial angle-line states of an adjacent HSM at constant intervals of 5.9987...° along 16 spatial angle-lines, constituting of the 16 eigenvectors of the disordered system. The vector formed by the 16 QDEs appearing sequentially is a cluster-interaction boson depicting the hopping mode of two positively charged particles in two overlapping HSMs, jumping 15 consecutive steps at tiny 0.01-step intervals. The 4 bosons that appear sequentially form the smallest 2D five-HSM cluster of dynamic equilateral hexahedron. This boson has five fundamental properties, including 20-fold symmetry and pinning, linked with various schools of thought such as cage, trap, mode-coupling, random first order transition, boson peak, Johari-Goldstein fast-slow-relaxations, heterogeneity and potential energy landscapes etc., and gives molecular cooperative motion modes as solitary waves.
The blood has something to say: A hematology-based clock to measure aging in mice
Authors: Martinez-Romero Jorge , Mueller William , Fernandez Maria , Price Nathan , Candia Julián , Bernier Michel , Camandola Simonetta , Ligo-Teixeira Camila Vieira , Palliyaguru Dushani , Meirelles Osorio , Hu Yi-Han , Li Zhiguang , Deighan Andrew , Serrano Carlos , Velasquez Nicolas Escobar , Launer Lenore , Ferrucci Luigi , Allison David , Shiroma Eric , Churchill Gary , de Cabo Rafael 
Published: June 2023

Abstract

Background: Chronological age alone does not sufficiently explain aging heterogeneity. Biological clocks and molecular biomarkers proposed to predict biological age can be difficult to implement in a clinical setting. Aim: In the framework of translational science, use of routinely collected hematological markers to develop a biological clock to predict biological age and estimate aging acceleration in mice.
Methods: Data from 2,562 mice of both sexes and three strains were drawn from the Study of Longitudinal Aging in Mice and from The Jackson Laboratory’s longitudinal study of aging. Fourteen hematological variables and two metabolic indices were collected longitudinally (11,998 observations). Biological age was predicted using a deep neural network. Aging acceleration (positive or negative) was calculated as residuals from a nonlinear regression of predicted age on chronological age and tested for association with all-cause mortality.
Results: Biological age was significantly correlated with chronological age (Mean Absolute Error [MAE] = 11.95 weeks, Root Mean Squared Error [RMSE] = 15.41 weeks, r = 0.87) and positive aging acceleration was associated with shorter lifespan.
Conclusion: An aging clock based on routinely collected blood measures has the potential to provide a practical clinical tool to better understand individual variability in the aging process.
Identification and Validation of Hub Genes in Children Asthma and Wheeze by Bioinformatics methods
Authors: Xie Yongfeng , Zhang Jinming , Cui Yunliang , Xu QinLiang 
Published: June 2023

Abstract
Background
The pathogenic mechanisms of children asthma and the relationship between children asthma and children wheeze are complex and not fully understood. The purpose of this study was to identify the pathways and hub genes along with common differentially expressed genes (DEGs) between children asthma and children wheeze, and to explore the specific insights for the clinical asthma and wheeze therapies in children.
Methods
The GSE123750 dataset was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) between the children asthma and children wheeze groups were identified using the “Limma” package in the R language. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, along with Gene Set Enrichment Analysis (GSEA), were performed to explore potential signaling pathways associated with the DEGs. Weighted Gene Co-expression Network Analysis (WGCNA) was conducted to identify gene network modules associated with children asthma using microarray data. Functional enrichment analysis was performed on the co-expression genes within specific highlighted modules.
Results
A total of 334 DEGs were identified in children with asthma compared to those with wheezing. Furthermore, five KEGG pathways, namely Ribosome, Oocyte meiosis, p53 signaling pathway, B cell receptor signaling pathway, and Cellular senescence, exhibited significant enrichment. The protein-protein interaction (PPI) network analysis in Cytoscape highlighted four hub genes: TOP2A, CDK1, CENPA, and KIF11. GSEA results indicated a positive correlation between asthma and down-regulation of early-stage progenitor T lymphocyte genes, up-regulation of plasma cell genes in bone marrow and blood, deadenylation-dependent mRNA decay, and down-regulation of genes in monocytes. The WGCNA analysis identified the pink module as being highly associated with asthma. Genes within this key module were primarily associated with organ or tissue-specific immune response, mucosal immune response, and the ribosome signaling pathway according to GO and KEGG pathway enrichment analyses. Furthermore, a protein-protein interaction (PPI) network analysis using STRING and Cytoscape revealed one hub gene, IMPA1, among the key genes.
Conclusions
In conclusion, our study not only advances the current understanding of childhood asthma but also provides valuable insights for identifying potential biomarkers to improve early diagnosis of asthma in preschool children with wheezing. These findings can assist clinicians in making informed decisions regarding early treatment interventions.