bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing agile project success: a comprehensive study of risk management approaches among Malaysian practitioners
Authors: Omar Mazni , Gilal Abdul Rehman , Ahmad Mazida , Ibrahim Huda , Yasin Azman , Awang Hapini , Almogahed Abdullah 
Published: May 2024

AbstractRisk management (RM) plays a role in project management in the software development field. As information technology (IT) systems become more essential across industries and IT projects continue to face failure rates effective project management becomes crucial. However, the utilization of methodologies in risk management is not widely considered, specifically in Malaysia. This study aims to investigate how software practitioners in Malaysia have implemented risk management and discover strategies that can enhance risk management for agile contexts. The main focus of this study is the limited integration of methodologies into risk management practices, which has created a gap within the software risk domain. Successful risk management is essential for the achievement of software projects, and the findings from this study can offer insights for software development organizations to make informed decisions and improve project outcomes. By utilizing a quantitative approach and adapted questionnaires, this comprehensive study collected data from 60 practitioners and conducted descriptive analysis to identify key risk elements that have significant potential to affect project performance. The findings highlight these risk elements that can significantly impact project success. Agile methodologies, with their emphasis on collaboration, communication within teams, and engagement with stakeholders, including top management, are instrumental in aligning project objectives, identifying potential risks, and resolving issues promptly. This study provides empirical insights into the risk management practices of agile practitioners in Malaysia, which can equip software development organizations with valuable knowledge for informed decision‐making. By enhancing project outcomes and guiding future strategic actions, the findings of this study can contribute to the improvement of agile risk management in the software development industry, particularly in the Malaysian context.
Scanning Probe Microscopies for Characterizations of 2D Materials
Authors: Su Shaoqiang , Zhao Jiong , Ly Thuc Hue 
Published: May 2024

Abstract2D materials are intriguing due to their remarkably thin and flat structure. This unique configuration allows the majority of their constituent atoms to be accessible on the surface, facilitating easier electron tunneling while generating weak surface forces. To decipher the subtle signals inherent in these materials, the application of techniques that offer atomic resolution (horizontal) and sub‐Angstrom (z‐height vertical) sensitivity is crucial. Scanning probe microscopy (SPM) emerges as the quintessential tool in this regard, owing to its atomic‐level spatial precision, ability to detect unitary charges, responsiveness to pico‐newton‐scale forces, and capability to discern pico‐ampere currents. Furthermore, the versatility of SPM to operate under varying environmental conditions, such as different temperatures and in the presence of various gases or liquids, opens up the possibility of studying the stability and reactivity of 2D materials in situ. The characteristic flatness, surface accessibility, ultra‐thinness, and weak signal strengths of 2D materials align perfectly with the capabilities of SPM technologies, enabling researchers to uncover the nuanced behaviors and properties of these advanced materials at the nanoscale and even the atomic scale.
Atomic Design of Copper Active Sites in Pristine Metal–Organic Coordination Compounds for Electrocatalytic Carbon Dioxide Reduction
Authors: Wang Juan , Wa Qingbo , Diao Qi , Liu Fu , Hao Fengkun , Xiong Yuecheng , Wang Yunhao , Zhou Jingwen , Meng Xiang , Guo Liang , Fan Zhanxi 
Published: May 2024

AbstractElectrocatalytic carbon dioxide reduction reaction (CO2RR) has emerged as a promising and sustainable approach to cut carbon emissions by converting greenhouse gas CO2 to value‐added chemicals and fuels. Metal–organic coordination compounds, especially the copper (Cu)‐based coordination compounds, which feature well‐defined crystalline structures and designable metal active sites, have attracted much research attention in electrocatalytic CO2RR. Herein, the recent advances of electrochemical CO2RR on pristine Cu‐based coordination compounds with different types of Cu active sites are reviewed. First, the general reaction pathways of electrocatalytic CO2RR on Cu‐based coordination compounds are briefly introduced. Then the highly efficient conversion of CO2 on various kinds of Cu active sites (e.g., single‐Cu site, dimeric‐Cu site, multi‐Cu site, and heterometallic site) is systematically discussed, along with the corresponding catalytic reaction mechanisms. Finally, some existing challenges and potential opportunities for this research direction are provided to guide the rational design of metal–organic coordination compounds for their practical application in electrochemical CO2RR.
Br‐Vacancies Induced Variable Ranging Hopping Conduction in High‐Order Topological Insulator Bi4Br4
Authors: Gong Zixin , Lai Xingyu , Miao Wenjing , Zhong Jingyuan , Shi Zhijian , Shen Huayi , Liu Xinqi , Li Qiyi , Yang Ming , Zhuang Jincheng , Du Yi 
Published: May 2024

AbstractThe defects have a remarkable influence on the electronic structures and the electric transport behaviors of the matter, providing the additional means to engineering their physical properties. In this work, a comprehensive study on the effect of Br‐vacancies on the electronic structures and transport behaviors in the high‐order topological insulator Bi4Br4 is performed by the combined techniques of the scanning tunneling microscopy (STM), angle‐resolved photoemission spectroscopy (ARPES), and physical properties measurement system along with the first‐principle calculations. The STM results show the defects on the cleaved surface of a single crystal and reveal that the defects are correlated to the Br‐vacancies with the support of the simulated STM images. The role of the Br‐vacancies in the modulation of the band structures has been identified by ARPES spectra and the calculated energy‐momentum dispersion. The relationship between the Br‐vacancies and the semiconducting‐like transport behaviors at low temperature has been established, implying a Mott variable ranging hopping conduction in Bi4Br4. The work not only resolves the unclear transport behaviors in this matter, but also paves a way to modulate the electric conduction path by the defects engineering.
A novel Bayesian optimizable ensemble bagged trees model for cryptocurrency fraud prediction approach
Authors: Norouzi Monire 
Published: May 2024

AbstractNowadays, the prediction of cryptocurrency side effects on the critical aspects of the exchange rates in intelligent business is one of the main challenges in the financial market. Cryptocurrency is defined as a set of digital information concerning internal financial protocols of digital marketing, such as blockchain, which operates according to a decentralized architecture. On the other hand, fraud activities in Ethereum transfer and management of cryptocurrency now increase and affect safe transactional processes. This article presents a new machine‐learning approach to Ethereum fraud Detection based on Bayesian Optimizable Ensemble Bagged Trees (BOEBT) algorithm. Moreover, the main goal of this study is to derive the accuracy of the cryptocurrency prediction model using different machine‐learning algorithms and compare their evaluation parameters together. The performance of the proposed prediction model using the machine learning algorithms was evaluated by the MATLAB tool. The experimental results show that the proposed BOEBT algorithm merits achieving 99.21% accuracy and 99.14% F1‐Score to other machine learning algorithms for cryptocurrency fraud prediction.
Tailoring Mechanical Properties and Shear Band Propagation in ZrCu Metallic Glass Nanolaminates Through Chemical Heterogeneities and Interface Density
Authors: Brognara Andrea , Kashiwar Ankush , Jung Chanwon , Zhang Xukai , Ahmadian Ali , Gauquelin Nicolas , Verbeeck Johan , Djemia Philippe , Faurie Damien , Dehm Gerhard , Idrissi Hosni , Best James Paul , Ghidelli Matteo 
Published: May 2024

The design of high‐performance structural thin films consistently seeks to achieve a delicate equilibrium by balancing outstanding mechanical properties like yield strength, ductility, and substrate adhesion, which are often mutually exclusive. Metallic glasses (MGs) with their amorphous structure have superior strength, but usually poor ductility with catastrophic failure induced by shear bands (SBs) formation. Herein, we introduce an innovative approach by synthesizing MGs characterized by large and tunable mechanical properties, pioneering a nanoengineering design based on the control of nanoscale chemical/structural heterogeneities. This is realized through a simplified model Zr24Cu76/Zr61Cu39, fully amorphous nanocomposite with controlled nanoscale periodicity (Λ, from 400 down to 5 nm), local chemistry, and glass–glass interfaces, while focusing in‐depth on the SB nucleation/propagation processes. The nanolaminates enable a fine control of the mechanical properties, and an onset of crack formation/percolation (>1.9 and 3.3%, respectively) far above the monolithic counterparts. Moreover, we show that SB propagation induces large chemical intermixing, enabling a brittle‐to‐ductile transition when Λ ≤ 50 nm, reaching remarkably large plastic deformation of 16% in compression and yield strength ≈2 GPa. Overall, the nanoengineered control of local heterogeneities leads to ultimate and tunable mechanical properties opening up a new approach for strong and ductile materials.
Dynamical performances of a wind‐excited high‐rise structure equipped with a multiblock movable faca̧de
Authors: Di Giovanni Giulia , Bernardini Davide , Di Re Paolo , Ruta Daniela 
Published: May 2024

SummaryIn 2005, Moon proposed to equip tall buildings with movable façades to improve structural performance. Previous studies showed that, although this could be very effective in mitigating wind‐induced vibrations, its applicability is limited, as façades tend to exhibit excessive relative displacements. To solve this issue, two improvements are proposed in this work. First, the original idea of a monolithic façade is generalized to a Multiblock Movable Façade (MMF) where the external building skin is segmented into several independent blocks. Second, a friction slider equipped with bumpers is used to realize a dissipative connection capable of limiting the displacements of the façade. To evaluate the applicability of these ideas, the case study of a
tall building (the Isozaki tower in Milan, Italy) is considered. Dissipative sliders are modeled as nonlinear hysteretic elements incorporated into a finite element model of the building. Numerical simulations of the dynamical effects of wind‐actions are carried out to compare the performances of the building with and without MMF. The results show that the actions transmitted to the building by the façade can be tuned by properly setting the characteristics of the MMF system to achieve satisfactory performance in terms of maximum displacements and accelerations.
Impact of organic carbon on heavy metals of river sediments and aquatic ecosystems: A review
Authors: Basti Sradhanjali , Sahu Chandan , Pati Sharada Shrinivas , Sahu Sanjat Kumar 
Published: May 2024

AbstractOrganic carbon with variable chemical composition sourced primarily from terrestrial and aquatic biogenic input has a significant impact on sediment heavy metal mobility. The present scientific view is unclear in deciphering the role of labile organic carbon in changing sediment heavy metal concentration. The present review critically assesses the impact of various forms of carbon on different geochemically bound heavy metal fractions and their monitoring. It is evident from the review that, the biochemical form of organic carbon (based on degradability and biopolymeric forms), carbon‐geochemical association, and density of organic carbon (light or heavy carbon fractions) plays an important role in determining the bioavailability and toxicity of metals for aquatic organisms. Besides the organic carbon, various sediment conditions that define the behavior of heavy metals include pH, redox condition, sulfide concentration, salinity, temperature, etc. Therefore, it is recommended that carbon relation with heavy metal mobility and stability should be included under long‐term sediment management plans to maintain the sediment quality of the river system.
Serology survey of Ascaris suum and Trichinella spiralis in rural pigs in Southwestern Mexico
Authors: Gómez‐Mendieta Luis‐Antonio , Bastida‐Almaraz Francisco‐Javier , Salas‐Ramírez Martha , Jasso‐Villazul Carlos‐Enrique , Fuentes‐Cervantes Gabriela , Gómez‐De‐Anda Fabián‐Ricardo , Zepeda‐Velázquez Andrea‐Paloma , Ponce‐Noguez Jesús‐Benjamín , de‐la‐Rosa‐Arana Jorge‐Luis 
Published: May 2024

AbstractBackgroundParasitic diseases of pigs are a public and veterinary health problem. Helminths influence pork production, whereas backyard pigs can transmit these parasites.ObjectivesThis work aimed to investigate the prevalence of antibodies against Ascaris suum and Trichinella spiralis in backyard pigs from Jamiltepec, Region de la Costa, Oaxaca, in Southwestern Mexico.MethodsSix hundred sixty‐four serum samples were obtained from backyard pigs from 23 rural villages distributed in 5 municipalities; samples were taken in a non‐probabilistic manner with the owner's consent. The presence of serum antibodies against a total extract of A. suum adult worm was determined by ELISA. In contrast, antibodies to the excretion‐secretion products of the T. spiralis muscle larva were determined by Western blot.ResultsThe global seroprevalence for A. suum was 5.12% and 2.41% for T. spiralis; however, antibodies were only found in 8 villages and distributed in 3 municipalities. The highest frequency of positivity for Ascaris was found in the municipality of Santa Catarina Mechoacán (13.01%), whereas, in Santa María Huazalotitlán, the highest frequency of positivity for Trichinella was found (5.75%). In San Andrés, frequencies were 7.23% and 4.82%, respectively. No statistical differences were observed between populations.ConclusionsOur data suggest that helminth transmission is restricted by locality. However, further studies must be conducted to understand the factors limiting this transmission to promote pork meat production in parasite‐free zones.
Bridging the μHz gap in the gravitational-wave landscape: unveiling dark baryons
Authors: Rosenlyst Martin 
Published: May 2024

Abstract
We study gravitational waves (GWs) with frequencies in the μHz range, which arise from phase transitions related to dark confinement in the context of dark versions of Quantum Chromodynamics. Based on several compelling motivations, we posit that these theories predict the existence of GeV-mass asymmetric dark baryons, akin to ordinary baryons, with the potential to contribute to dark matter. Furthermore, we emphasize the significance of a particular $$ \mathcal{O}\left(\textrm{TeV}\right) $$
O

TeV

scale for multiple reasons. First, to account for the similarity in present-day mass densities between dark matter and visible matter, various TeV-scale mechanisms can elucidate the similarities in both their number densities and masses. Moreover, to address the so-called electroweak hierarchy problem, we consider the introduction of either the Composite Higgs or Supersymmetry at around $$ \mathcal{O}\left(\textrm{TeV}\right) $$
O

TeV

. These mechanisms lead to intriguing TeV collider signatures and the possibility of detecting mHz GWs in future experiments. In summary, this study provides a strong motivation for advancing GW experiments that can bridge the μHz frequency gap in the GW spectrum. Additionally, there is a need for the construction of more powerful particle colliders to explore higher energy regimes. In consideration of the possibility to scrutinize these models from various perspectives, we strongly advocate their further development.
Reconstructing S-matrix Phases with Machine Learning
Authors: Dersy Aurélien , Schwartz Matthew D. , Zhiboedov Alexander 
Published: May 2024

Abstract
An important element of the S-matrix bootstrap program is the relationship between the modulus of an S-matrix element and its phase. Unitarity relates them by an integral equation. Even in the simplest case of elastic scattering, this integral equation cannot be solved analytically and numerical approaches are required. We apply modern machine learning techniques to studying the unitarity constraint. We find that for a given modulus, when a phase exists it can generally be reconstructed to good accuracy with machine learning. Moreover, the loss of the reconstruction algorithm provides a good proxy for whether a given modulus can be consistent with unitarity at all. In addition, we study the question of whether multiple phases can be consistent with a single modulus, finding novel phase-ambiguous solutions. In particular, we find a new phase-ambiguous solution which pushes the known limit on such solutions significantly beyond the previous bound.
Matrix models from black hole geometries
Authors: Boido Andrea , Lüscher Alice , Sparks James 
Published: May 2024

Abstract
Supersymmetric, magnetically charged (and possibly accelerating) black holes in AdS4 that uplift on Sasaki-Einstein manifolds Y7 to M-theory have a dual matrix model description. The matrix model in turn arises by localization of the 3d $$ \mathcal{N} $$
N
= 2 SCFTs, dual to the AdS4 vacuum, on the black hole horizon geometry, which is a Riemann surface Σg (or a spindle Σ). We identify the imaginary part t of the continuously distributed eigenvalues in the matrix model, and their density function ρ(t), with natural geometric quantities associated with the M-theory circle action U(1)M on the near-horizon geometry AdS2 × Y9, the internal space Y9 being a Y7 fibration over Σg (or Σ). Moreover, we argue that the points where ρ′(t) is discontinuous match with the classical action of BPS probe M2-branes wrapping AdS2 and the M-theory circle. We illustrate our findings with the ABJM and ADHM theories, whose duals have Y7 = S7/ℤk, and some of their flavoured variants corresponding to other toric Y7.
Transcriptomic profiling and regulatory pathways of cardiac resident macrophages in aging
Authors: Xia Guofang , Zhu Simeng , Liu Yujia , Pan Jingwei , Wang Xiaoqing , Shen Chengxing , Du Ailian , Xu Congfeng 
Published: May 2024

AbstractCardiovascular diseases are an array of age-related disorders, and accumulating evidence suggests a link between cardiac resident macrophages (CRMs) and the age-related disorders. However, how does CRMs alter with aging remains elusive. In the present study, aged mice (20 months old) have been employed to check for their cardiac structural and functional alterations, and the changes in the proportion of CRM subsets as well, followed by sorting of CRMs, including C-C Motif Chemokine Receptor 2 (CCR2)+ and CCR2– CRMs, which were subjected to Smart-Seq. Integrated analysis of the Smart-Seq data with three publicly available single-cell RNA-seq datasets revealed that inflammatory genes were drastic upregulated for both CCR2+ and CCR2– CRMs with aging, but genes germane to wound healing were downregulated for CCR2– CRMs, suggesting the differential functions of these two subsets. More importantly, inflammatory genes involved in damage sensing, complement cascades, and phagocytosis were largely upregulated in CCR2– CRMs, implying the imbalance of inflammatory response upon aging. Our work provides a comprehensive framework and transcriptional resource for assessing the impact of aging on CRMs with a potential for further understanding cardiac aging.
Genome wide inherited modifications of the tomato epigenome by trans-activated bacterial CG methyltransferase
Authors: Kumar Bapatla Kesava Pavan , Beaubiat Sébastien , Yadav Chandra Bhan , Eshed Ravit , Arazi Tzahi , Sherman Amir , Bouché Nicolas 
Published: May 2024

Abstract
Background
Epigenetic variation is mediated by epigenetic marks such as DNA methylation occurring in all cytosine contexts in plants. CG methylation plays a critical role in silencing transposable elements and regulating gene expression. The establishment of CG methylation occurs via the RNA-directed DNA methylation pathway and CG methylation maintenance relies on METHYLTRANSFERASE1, the homologue of the mammalian DNMT1.

Purpose
Here, we examined the capacity to stably alter the tomato genome methylome by a bacterial CG-specific M.SssI methyltransferase expressed through the LhG4/pOP transactivation system.

Results
Methylome analysis of M.SssI expressing plants revealed that their euchromatic genome regions are specifically hypermethylated in the CG context, and so are most of their genes. However, changes in gene expression were observed only with a set of genes exhibiting a greater susceptibility to CG hypermethylation near their transcription start site. Unlike gene rich genomic regions, our analysis revealed that heterochromatic regions are slightly hypomethylated at CGs only. Notably, some M.SssI-induced hypermethylation persisted even without the methylase or transgenes, indicating inheritable epigenetic modification.

Conclusion
Collectively our findings suggest that heterologous expression of M.SssI can create new inherited epigenetic variations and changes in the methylation profiles on a genome wide scale. This open avenues for the conception of epigenetic recombinant inbred line populations with the potential to unveil agriculturally valuable tomato epialleles.
PRKN-linked familial Parkinson’s disease: cellular and molecular mechanisms of disease-linked variants
Authors: Clausen Lene , Okarmus Justyna , Voutsinos Vasileios , Meyer Morten , Lindorff-Larsen Kresten , Hartmann-Petersen Rasmus 
Published: May 2024

AbstractParkinson’s disease (PD) is a common and incurable neurodegenerative disorder that arises from the loss of dopaminergic neurons in the substantia nigra and is mainly characterized by progressive loss of motor function. Monogenic familial PD is associated with highly penetrant variants in specific genes, notably the PRKN gene, where homozygous or compound heterozygous loss-of-function variants predominate. PRKN encodes Parkin, an E3 ubiquitin-protein ligase important for protein ubiquitination and mitophagy of damaged mitochondria. Accordingly, Parkin plays a central role in mitochondrial quality control but is itself also subject to a strict protein quality control system that rapidly eliminates certain disease-linked Parkin variants. Here, we summarize the cellular and molecular functions of Parkin, highlighting the various mechanisms by which PRKN gene variants result in loss-of-function. We emphasize the importance of high-throughput assays and computational tools for the clinical classification of PRKN gene variants and how detailed insights into the pathogenic mechanisms of PRKN gene variants may impact the development of personalized therapeutics.