bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategic Human Resource Management Bundles and Job Performance in the Nonprofit Sector: A Multilevel Longitudinal Study
Authors: Abukhalifa Anas Mahmoud Salem , Kamil Nurul Liyana Mohd , Yong Chen Chen 
Published: January 2025

ABSTRACTLeaning on social exchange theory and job demand Resource theory, this study examines the impact of ability, motivation, and opportunity strategic human resource management bundles on job performance via the mediating mechanism of work engagement. Our data were gathered in two waves from 270 paid employees employed by 30 nonprofit organizations in Palestine and were analyzed using hierarchical linear modeling. The findings reveal that ability, motivation, and opportunity for strategic human resource management bundles have a significant positive impact on work engagement and job performance. Among these bundles, the opportunity‐enhancing bundle emerged as the strongest predictor of work engagement and job performance. Work engagement was found to partially mediate the relationship between strategic human resource management and performance. The novelty of this study lies in its examination of these relationships using a multilevel longitudinal methodology in the understudied contexts of the nonprofit sector and an Eastern setting, thereby addressing several theoretical, methodological, and empirical gaps within the literature on strategic HRM, the non‐profit sector, and positive psychology.
Investigation of Setpoint Tracking Control Schemes for Digital Twin of Industrial Finned Heater
Authors: Singh Ajith B. , Jaisiva S. , Anie Selva Jothi A. , Narendiran S. 
Published: January 2025

ABSTRACTBand dryers commonly used in industries consist of forced draft fans and heating elements. The heating coils used in these dryers are susceptible to voltage fluctuations, which might lead to poor performance of heating elements and high‐power consumption for operation. This manuscript proposes a novel approach for a setpoint tracking control scheme for the digital twin of the industrial finned heater. The proposed technique is a Butterfly Optimization Algorithm (BOA) for optimizing the Setpoint Tracking Proportional Integral Derivative (STPID) controller. The primary goal of the proposed method is to minimize error and provide a better alternative to find their system transfer function. The BOA technique is used to maximize the parameters of the STPID controller. On the MATLAB platform, the proposed technique is assessed and contrasted with other existing techniques. The simulation results show a decent control of temperature in the system using the OSTPID controller. The proposed method shows better results in all existingcontroller like Fractional Order Proportional Integral Derivative (FOPID) and STPID controllers. The output of OSTPID controller shows notable improvement with respect to settling time as 25.99% for a step input and 11.765% for random input, overshoot as 91.99% for a step input, and 92.53% for random input, RMS as 3.62% for a step input and 0.947% for random input and other time integral performance criteria like ISE, IAE, ITAE, etc. Based on the findings, it can be concluded that the proposed technique's based error is smaller than that of the other approaches.
Towards the sustainability of African sandalwood: Understanding the distribution and environmental requirements
Authors: Mwangi Jane Gachambi , Mohammed Salisu , Umar Kabir Mustapha , Haggar Jeremy , Santika Truly 
Published: January 2025

Societal Impact StatementAfrican sandalwood (Osyris lanceolata) leaves, roots, barks, fruits, and woods are used for multiple purposes throughout Asia, Africa, and Europe. The species is threatened in several eastern African countries. To improve the species' management and conservation, a habitat suitability study was undertaken in its at‐risk region in eastern Africa and extended to southern and horn of Africa due to its continuous distribution. African sandalwood continues to face intense human pressure and needs to be prioritized in terms of sustainable management practices. The plant's significant human importance necessitates inclusive conservation measures in all three habitat regions in Africa to safeguard it.Summary
African sandalwood (Osyris lanceolata) is a versatile plant with significant economic and societal importance. It is threatened in several countries in Africa due to overexploitation. The lack of knowledge about the plant's ecology and environmental requirements complicates the species' long‐term management.
We sought to address this issue by providing a novel understanding of the environmental factors that influence the occurrence of African sandalwood and its potential distribution. Using publicly available occurrence records from 1950 to 2021 and field data, we examined the species' habitat requirements in eastern, southern, and horn of Africa regions. We applied the Generalized Additive Models to link the plant's occurrence data to 12 environmental variables reflecting climatic, physiographic, and edaphic characteristics, while controlling for the biases that arise from publicly gathered occurrence records.
Our findings revealed that the plant's habitat requirements vary among the three regions investigated. While climatic factors are essential in all three regions, physiographic aspects are mainly important for the eastern and southern populations, while edaphic variables were pertinent exclusively in southern region. Areas suitable and optimal for the plant were estimated to comprise 674,700 km2 (17.3% of total land area) in eastern Africa, 267,750 km2 (25.6%) in the horn of Africa, and 716,300 km2 (13.9%) in southern Africa.
More than two‐thirds of these areas are located on unprotected lands, highlighting the importance of community involvement for a sustainable management of the species. Our results on the potential geographical distribution of African sandalwood are crucial to guide more targeted conservation and recovery efforts.
Photoexcited Electro‐Driven Reactive Oxygen Species Channeling for Precise Extraction of Biomarker Information from Tumor Interstitial Fluid
Authors: Xie Xiyue , Tang Shuqi , Zhai Chunhui , Fu Kaixiu , Li Fan , Cai Kaiyong , Zhang Jixi 
Published: January 2025

AbstractDirect electrochemical detection of miRNA biomarkers in tumor tissue interstitial fluid (TIF) holds great promise for adjuvant therapy for tumors in the perioperative period, yet is limited by background interference and weak signal. Herein, a wash‐free and separation‐free miRNA biosensor based on photoexcited electro‐driven reactive oxygen channeling analysis (LEOCA) is developed to solve the high‐fidelity detection in physiological samples. In the presence of miRNA, nanoacceptors (ultrasmall‐size polydopamine, uPDA) are responsively assembled on the surface of nanodonors (zirconium metal‐organic framework, ZrMOF) to form core‐satellite aggregates. The produced lifetime‐constraint singlet oxygen upon light irradiation is captured by the catechol of constrained uPDA, and the oxidized quinone is immediately electro‐reduced to the catechol at transient collision process on the electrode, resulting in a cascade electron transfer and amplified current. Thereby, the nanosensor exhibits a low detection limit (1.1 fM), and high reproducibility (relative standard deviation of 2.0%). Compared with quantitative real‐time polymerase chain reaction (qRT‐PCR), the clinical accuracy (area under the curve value) is significantly increased from 0.75 to 0.93 in distinguishing breast cancer patients from healthy donors. This study demonstrates an inspiration on the synergy of the reactive oxygen channeling between nanodonor/nanoacceptor and the synchronous electron transfer cascade on the electrode to solve the bottleneck problem of detecting unprocessed clinical samples in a sample‐in‐answer‐out manner.
Modulating Solid‐Solution Solubility to Enhance Thermoelectric Performance and Maintain Structural Stability in Phase‐Transition Silver Chalcogenides
Authors: Huang Lu Yun‐Han , Jen I‐Lun , Chiang Ching‐Yu , Hsieh Wan‐Zhen , Yin Gung‐Chian , Song Yen‐Fang , Wu Hsin‐Jay 
Published: January 2025

AbstractSilver chalcogenides exhibit exceptional transport properties but face structural instability at high temperatures, limiting their practical applications. Using Ag2Te as a model, it is confirm that silver whisker growth above the phase transition renders Ag2Te unsuitable for thermoelectric applications. Here, the whisker growth mechanism is investigated and propose an inhibition strategy, overcoming a major obstacle in using silver chalcogenides. The presence of highly mobile Ag and lattice strain cause by phase transition are two factors leading to the formation of silver whiskers. Adding a trace amount of Ga inhibits silver whisker growth by forming an immobile Ag‐Ga solid‐solution phase and optimizing thermoelectric performance simultaneously. Consequently, a single leg of Ga‐Ag2Te achieves a conversion efficiency of 2.3% with a ΔT of 300 K and remains whisker‐free after high‐temperature testing. A thermally robust, high‐performance thermoelectric single leg based on liquid‐like silver chalcogenides is successfully developed.
A Wireless Health Monitoring System Accomplishing Bimodal Decoupling Based on an “IS”‐Shaped Multifunctional Conductive Hydrogel
Authors: Li Yufeng , Yang Xu , Ding Yarong , Zhang Huiwen , Cheng Yafang , Li Xiaofang , Sun Jiachun , Liu Yannan , Li Yingchun , Fan Daidi 
Published: January 2025

AbstractFlexible wearable sensors with bimodal functionality offer substantial value for human health monitoring, as relying on a single indicator is insufficient for capturing comprehensive physiological information. However, bimodal sensors face multiple challenges in practical applications, including mutual interference between various modalities, and integration of excellent mechanical properties, interfacial adhesion, environmental adaptability and biocompatibility. Herein, the multifunctional hydrogel, synthesized through radical grafting and supramolecular self‐crosslinking reactions, exhibits excellent thermal sensitivity (TCR = −1.70% °C−1), high toughness (9.31 MJ m−3), wide strain range (0–600%), outstanding adhesion strength (36.07 kPa), antifreeze, visualization, water retention, biocompatibility, antibacterial and antioxidant capabilities. Leveraging its excellent conductivity, this hydrogel can be applied in electroluminescent, triboelectricity, electromyography monitoring, and message encryption. Moreover, the hydrogel is fabricated as bimodal smart sensors for strain and temperature monitoring. To avoid mutual interference between the two signals, a wearable system in “IS”‐shaped configuration is innovatively designed based on finite element simulation results. The integration of “IS”‐shaped hydrogel, flexible circuit modules, and data transmission form a closed‐loop wearable platform for rehabilitation training of patients with arthritis or joint surgery. This strategy establishes a bimodal decoupling and self‐calibrating system utilizing a single material to accurately detect multiple parameters, advancing wearable electronics and personalized medicine.
Boosting Carrier Mobility in 2D Layered Perovskites for High‐Performance UV Photodetector
Authors: Liu Zhirong , Zhang Zhiguo , Liu Yuping , Luo Ronghua , Cheng Yuehuan , Shen Yan , Wang Kejia , Wang Mingkui 
Published: January 2025

Abstract2D hybrid perovskites have attracted great interest due to their promising potential in photodetectors. The phase structure, dielectric, and excitonic properties in 2D perovskites play a pivotal role in the performance of the corresponding optoelectronic device. Here a lattice anchoring method is demonstrated to boost carrier mobility in 2D perovskites by tailoring large organic spacer cation layers. By tuning the electron‐withdrawing halogens at the 4‐position of the phenyl group in the widely investigated component C6H5CH2NH3+ (PMA+), it is found that the exciton binding energy of 2D perovskites can be reduced by improving the dielectric constant of organic layers. It is revealed that the carrier mobility is increased by 1.5‐fold in the F‐PMA2PbCl4 perovskite. Meanwhile, the lattice stability is improved together with the high material hardness by reducing the distortion of inorganic sheets. The vertically structured UV photodetector with F‐PMA2PbCl4 perovskite layer achieves a high detectivity of 1.89 × 1014 Jones. The work opens a new class method for improving the performance of 2D perovskite‐based devices and paves the way to high responsivity and sensitivity.
The recumbirostran Hapsidopareion lepton from the early Permian (Cisuralian: Artinskian) of Oklahoma reassessed using HRμCT, and the placement of Recumbirostra on the amniote stem
Authors: Jenkins Xavier A. , Sues Hans‐Dieter , Webb Savannah , Schepis Zackary , Peecook Brandon R. , Mann Arjan 
Published: January 2025

AbstractRecumbirostra is a clade of heavily modified, superficially lizard‐like tetrapods that were originally interpreted as ‘microsaurian lepospondyls’ unrelated to the amniote crown. However, recent work has placed Recumbirostra within Reptilia, based on many similarities between the braincase and postcranium of recumbirostrans with early reptiles. Here, the early Permian hapsidopareiid recumbirostran Hapsidopareion lepton is re‐described using high‐resolution μCT data of three individuals across distinct ontogenetic stages, including the holotype specimen. These data reveal a suite of similarities with the hapsidopareiid Llistrofus pricei, suggesting that the latter is a subjective junior synonym of Hapsidopareion lepton. Furthermore, we highlight derived features present in Recumbirostra and Amniota that are otherwise absent in early reptiliomorphs, including: a single supraoccipital element that contributes to the endosseous labyrinths, the absence of paired endolymphatic fossae, and the presence of a distinct ampullary fossa between the semicircular canals. We also identify plesiomorphies of the braincase and skull roof of Hapsidopareion that are present in recumbirostrans and early stem‐amniotes but lacking in unambiguous crown amniotes. This suggests that features previously uniting recumbirostrans with reptiles are possible symplesiomorphies of Amniota, and a new phylogenetic analysis places Recumbirostra as a crownward group along the amniote stem, more derived than traditionally recognized reptiliomorphs such as Seymouria. Our findings highlight the need for further anatomical and descriptive studies of both stem‐ and crown‐group amniotes, and specifically the need for further revisions to those taxa originally regarded as ‘microsaurs’.
Festschrift for Mike Jackson
Authors: Dwivedi Ashish , Midgley Gerald 
Published: January 2025

ABSTRACTThis is the editorial for a festschrift for Mike Jackson. We begin by outlining six phases of Jackson's research, from 1982 to the present day: an initial critique of soft systems thinking and soft operational research (OR); a proposal for methodological pluralism to overcome the hard/soft divide; a description of an ‘enhanced systems/OR’ that acknowledges the complexities, uncertainties and conflicts regularly encountered in practice; the further development and popularization of his enhanced OR under the banners of ‘critical systems thinking’ and ‘total systems intervention’; the consolidation of his work in three books with mature presentations of his perspective; and a rethinking of the history of both systems thinking and systems science, accompanied by a renewed focus on the implications of his methodological ideas for systems practice. Following this outline, we move on to an overview of the papers in the festschrift, each of which either expands on Mike Jackson's ideas, applies them in new application domains, or critiques those ideas and provides alternatives.
Polymers for mRNA Delivery
Authors: Wang Hui , Cheng Yiyun 
Published: January 2025

ABSTRACTmRNA delivery has emerged as a transformative approach in biotechnology and medicine, offering a versatile platform for the development of novel therapeutics. Unlike traditional small molecule drugs or protein‐based biologics, mRNA therapeutics have the unique ability to direct cells to generate therapeutic proteins, allowing for precise modulation of biological processes. The delivery of mRNA into target cells is a critical step in realizing the therapeutic potential of this technology. In this review, our focus is on the latest advancements in designing functional polymers to achieve efficient mRNA delivery. Biodegradable polymers and low molecular weight polymers in addressing the balance in mRNA binding and release are summarized. Benefiting from the excellent performance of lipid nanoparticles in mRNA delivery, polymer/lipid hybrid nanostructures are also included. Finally, the challenges and future prospects in the development of polymer‐based mRNA delivery systems are discussed.
Peculiar Variations and Long-term Changes in Sea Level Observed in the Lanzarote Geosciences Laboratory (Canary Islands, Spain)
Authors: Benavent M. , Arnoso J. , Vélez E. J. , Montesinos F. G. , Tammaro U. , Riccardi U. 
Published: January 2025

AbstractWe use tide gauge data spanning from 2005 to 2023 in the Geosciences Laboratory at Lanzarote (Canary Islands, Spain) to perform a detailed analysis of the local short and long-term changes not previously examined in this area. Sea level is affected by the spatial and temporal climate variability on annual to decadal time scales. Consequently, the analysis of the linear trends of sea level can be difficult even when long time series are available. To achieve this objective, we investigate multi-year (from 3 to 10 years) and decadal variations of sea level through its connection with climate indexes such as the sea surface temperature, the sunspots or the North Atlantic Oscillation (NAO). First, we apply the standard corrections for the ocean tides, the atmospheric dynamics and the interannual and seasonal variability of the observed time series. Second, we study the sea level changes at multi-year to decadal scales by applying the maximal overlap discrete wavelet transform for the decomposition of the sea level signal. Furthermore, the correlations between the sea level and complementary data (sea water temperature, sunspot number and NAO Index) are investigated by means of the cross-wavelet and wavelet coherence methods. Finally, we perform a linear regression analysis of the sea level changes with the sea water temperature, including periodic components, to model the observed sea level data. Jointly with the tide gauge data, the sea level is monitored using a GNSS permanent station co-located with the tide gauge site. The study of both time series (sea level and vertical ground displacement), after removal of the previously modelled tidal and non-tidal components, provides the long-term linear trend for the complete period, from 2005 to 2023: an increase of 0.33 ± 0.06 cm/yr for the sea level and an increase of about 0.016 ± 0.003 cm/yr for GNSS-vertical displacement.
Land Use Change Disrupts the Network Complexity and Stability of Soil Microbial Carbon Cycling Genes Across an Agricultural Mosaic Landscape
Authors: Byers Alexa K. , Wakelin Steve A. , Condron Leo , Black Amanda 
Published: January 2025

AbstractTo understand the effects of agricultural land use change and management on soil carbon (C) cycling, it is crucial to examine how these changes can influence microbial soil C cycling. Network analysis can offer insights into the structure, complexity, and stability of the soil microbiome in response to environmental disturbances, including land use change. Using SparCC-based co-occurrence networks, we studied how land use change impacts the connectivity, complexity, and stability of microbial C-cycling gene networks across an agricultural mosaic landscape in Canterbury, New Zealand. The most densely connected networks were found in land uses that were under the most intensive agricultural management, or under naturally regenerating vegetation. The microbial C-cycling gene networks from both land uses presented high network connectivity, low modularity, and a low proportion of negative gene interactions. In contrast, microbial C-cycling genes from native forests, which had the most stable and undisturbed plant cover, had the lowest network connectivity, highest modularity, and a greater proportion of negative gene interactions. Although the differences in total soil C content between land uses were small, the large effects of land use on the network structure of microbial C-cycling genes may have important implications for long-term microbial soil C cycling. Furthermore, this research highlights the value of using microbial network analysis to study the metabolic gene interactions shaping the functional structure of soil microbial communities in a manner not typically captured by more traditional forms of microbial diversity analysis.
Standardizing the reporting of cholangiocarcinoma: the society of abdominal radiology disease focused panel on cholangiocarinoma lexicon
Authors: M. Marks Robert , Arif Hina , Antonietta Bali Maria , L. Brunsing Ryan , M. Cunha Guilherme , Khasawneh Hala , El Homsi Maria , Singh Charanjeet , Paspulati Raj , Kierans Andrea , Qayyum Aliya 
Published: January 2025

AbstractIn March 2023, the Society of Abdominal Radiology (SAR) Disease Focused Panel (DFP) on Cholangiocarcinoma (CCA) was formed. One of its initial tasks was for creation of a lexicon specific for CCA to complement the terms related to the Liver Imaging Reporting and Data System (LI-RADS) category M. A committee was formed and vetted 15 unique terms for CCA. The multidisciplinary members of the DFP passed each term by over 90% approval. The purpose of this paper is to describe the process for developing the lexicon, introduce the lexicon terms, and provide a pictorial atlas of the 15 vetted terms relating to the imaging findings of CCA.
Assessing the EU27 Potential to Meet the Nature Restoration Law Targets
Authors: Perissi Ilaria 
Published: January 2025

AbstractThe Nature Restoration Law adopted by the European Union in 2024 aims to implement measures to restore at least 20% of its land and sea by 2030 and all ecosystems in need of restoration by 2050, focusing on among others agricultural land, forests, urban, marine, freshwater, and wetlands areas. The goal is to enhance the natural and semi-natural habitats’ role in achieving climate targets and preserving biodiversity. Member States must submit detailed national restoration plans, outlining specific actions and mechanisms for monitoring progress. However, these plans should align with the ongoing Common Agricultural Policy and National Energy and Climate Plans objectives. Using data from European Commission reports and applying a semantic interval scale methodology, this study quantifies each Member State’s ambitions and effectiveness under the National Energy Climate Plans and Common Agricultural Policy and establishes a benchmark for reporting under the Nature Restoration Law. The findings reveal the National Energy Climate Plans’ wide disparities in implementing decarbonization measures, climate change adaptation and the implementation of nature-based solutions. The Common Agricultural Policy Plans exhibit only partial commitment to greening agriculture, yet their alignment with Nature Restoration Law objectives varies. Therefore, timely coordination between the three strategies is crucial to avoid conflicting goals, overlapping efforts, and wasting time and resources, ensuring the success of restoration actions.