bluuebunny/crossref_metadata_2025_split huggingface dataset:
How to Design Green Compensation to Promote Managers’ Pro-Environmental Behavior? A Goal-Framing Perspective
Authors: Yin Yishuai , Wang Yue , Lu Ying 
Published: July 2024

AbstractHuman resource management (HRM) scholars and practitioners are increasingly interested in how to leverage HRM tools to address pressing environmental issues while balancing an organization’s need for profit. One important theme of this line of research is the use of contingent compensation (i.e., green compensation) to motivate managers to engage in pro-environmental behavior. However, current research on the efficacy of green compensation in promoting managers’ environmental contribution yields two seemingly contradictory views. First, based on agency theory, green compensation is found to be an effective tool to elicit managers’ environmental efforts. On the other hand, from a stewardship theory perspective, green compensation is regarded as ineffective in attempts to stimulate managers’ environmental contributions. In this paper, we propose that this potential conflict could stem from the way green compensation is designed. To address this issue, drawing upon goal-framing theory, we develop a normative theoretical framework toward designing key features of green compensation that could help to promote managers’ pro-environmental behaviors while mitigating potential pitfalls. These key features include explicitly acknowledging managers’ contributions to environmental endeavors, distribution of the compensation by prominent stakeholders with salient pro-environmental values, distribution of the compensation in public ceremonies, ensuring modesty in size of the compensation compared with managers’ non-contingent compensation, monitoring outcome and process performance, and developing group-based in addition to individual-based compensation. We conclude with implications of this design for theory and practice.
HMGB1 as an extracellular pro-inflammatory cytokine: Implications for drug-induced organic damage
Authors: Yuan JianYe , Guo Lin , Ma JiaTing , Zhang HeJian , Xiao MingXuan , Li Ning , Gong Hui , Yan Miao 
Published: July 2024

AbstractDrug-induced organic damage encompasses various intricate mechanisms, wherein HMGB1, a non-histone chromosome-binding protein, assumes a significant role as a pivotal hub gene. The regulatory functions of HMGB1 within the nucleus and extracellular milieu are interlinked. HMGB1 exerts a crucial regulatory influence on key biological processes including cell survival, inflammatory regulation, and immune response. HMGB1 can be released extracellularly from the cell during these processes, where it functions as a pro-inflammation cytokine. HMGB1 interacts with multiple cell membrane receptors, primarily Toll-like receptors (TLRs) and receptor for advanced glycation end products (RAGE), to stimulate immune cells and trigger inflammatory response. The excessive or uncontrolled HMGB1 release leads to heightened inflammatory responses and cellular demise, instigating inflammatory damage or exacerbating inflammation and cellular demise in different diseases. Therefore, a thorough review on the significance of HMGB1 in drug-induced organic damage is highly important for the advancement of pharmaceuticals, ensuring their effectiveness and safety in treating inflammation as well as immune-related diseases. In this review, we initially outline the characteristics and functions of HMGB1, emphasizing their relevance in disease pathology. Then, we comprehensively summarize the prospect of HMGB1 as a promising therapeutic target for treating drug-induced toxicity. Lastly, we discuss major challenges and propose potential avenues for advancing the development of HMGB1-based therapeutics.
Graphical Abstract

Graphical Headlights
(1) A comprehensive overview of the intricate relationship between HMGB1 and drug-induced organ toxicity is presented, accompanied by the corresponding treatment strategies.
(2) The present study addresses significant obstacles and suggests potential strategies for furthering the progress of HMGB1-based therapeutics.
(3) The research prospects of HMGB1 are also summarized.
Value of risk aversion in perishable products supply chain management
Authors: Pathy Soumya Ranjan , Rahimian Hamed 
Published: July 2024

AbstractIn this paper, we study optimal procurement and inventory decisions for a supply chain with a single perishable product under demand uncertainty. To control risk, on the one hand, we use a risk-averse objective, and on the other hand, we utilize a chance constraint to satisfy demand with a high probability. We formulate the problem as a two-stage stochastic program with a chance constraint and risk-averse objective, where long-term decisions on pre-positioning products are made in the first stage, while recourse decisions on reallocation and emergency procurement are made in the second stage. To allow for different risk preferences, we incorporate conditional value-at-risk into the objective function and study its combination with the expectation or worst-case of the second-stage costs. To solve the resulting models, we develop various variants of the L-shaped method, based on dual and primal decomposition, and by leveraging the connection between the optimization of coherent risk measures and distributionally robust optimization. Through extensive numerical experiments, we demonstrate the value of risk aversion and present a comparative computational study on the performance of different algorithms.
Television shows ideation, and testing with smart digital twins to advance ratings
Authors: Hornik Jacob , Rachamim Matti 
Published: July 2024

AbstractGenerating ideas for immersive television shows is fundamental to the television industry. TV channel managers are looking to stay ahead of their competitors and are turning to many advanced technologies like artificial intelligence (AI), the Internet of Things, virtual reality, cloud and fog computing. These technologies with other autonomous devices, technologies, surveys, models, and software are creating extensive, complex, and diverse television data sets. These data diversity and heterogeneity may hinder television research. Thus, there is a clear need to synthesize, synchronize, and integrate the large-scale data sets according to predefined decision rules and research objectives. Against this backdrop, this paper introduces a new platform of data integration and modeling—television digital twins. Digital twins (DTs) are virtual copies of products, services, processes, or humans encompassing all the relevant entities’ qualities. Although numerous research studies have been published on DTs, none hitherto have been conducted in media and television. This research aims to bridge two perspectives: on one side, the authors acknowledge the value of TVDT as a data fusion platform. On the other side, the authors build on previous scholarship to suggest a conceptual framework for implementing this platform in future TV studies.
Unravelling the complexities of wetland agriculture, climate change, and coping mechanisms: an integrative review using economics and satellite approaches
Authors: Islam Md. Monirul 
Published: July 2024

AbstractThe flash flood-affected wetland region of Bangladesh contributes around 20–25% of the annual Boro rice production, which is vital for local, regional, and national food security. Considering the crucial significance of Boro rice and the growing susceptibility of wetland regions to flash floods and climate change, it is imperative to investigate viable approaches and adaptation methods to reduce the adverse effects on agricultural output. This review study investigated the relationships between wetlands, climate change, and coping mechanisms while incorporating economic and advanced satellite remote sensing approaches. Through a comprehensive analysis of flash flood impacts on Boro rice yield using satellite remote sensing technique, the findings revealed significant adverse effects on the vegetative reproduction of Boro rice in the study areas. Notably, flash floods in 2017 exhibited more pronounced impacts than other years (2018 and 2019), underscoring the urgency for effective and integrated coping strategies to ensure sustainable agricultural production. Consequently, the study identified and discussed probable coping strategies, including changes in cropping patterns through land suitability assessment, evaluating vulnerable areas through vulnerability mapping, analyzing yield forecasting models, and introducing a damage-based crop insurance approach to mitigate farmers’ losses. These probable adaptation strategies will offer viable solutions to address the recurrent issue of flash floods and safeguard sustainable agricultural production in the wetland areas of Bangladesh. Considering the current situation, climate change issues and probable alternative coping strategies are crucial for developing a resilient agricultural system in light of flash floods, ensuring the long-term viability of wetland agriculture. The study outcomes provide valuable insights for policymakers, researchers, and stakeholders in wetland agricultural planning and management to develop proper and long-term sustainable adaptation and mitigation strategies.
Gender diversity and climate disclosure: a tcfd perspective
Authors: Dias Ana Isabel , Pinheiro Pedro , Fernandes Sónia 
Published: July 2024

AbstractThe paradigm of corporate environmental disclosures aimed at investors developed in 2017 with the Task Force on Climate-related Financial Disclosures (TCFD) recommendations. Existing literature on social responsibility disclosures points to gender diversity on the board of directors as an influencing factor. This study aims to assess the influence of gender diversity in climate-related financial disclosures, as recommended by the TCFD based on a sample of 27 companies operating within the sectors of electricity, oil, coal and gas, water, and alternative energy that have announced their adherence to the recommendations from 2017 to 2021. By applying a linear regression model, the results indicate the presence of a positive association between the level of TCFD disclosures and board gender diversity, as well as other factors, such as company size, CEO duality, and general liquidity. However, the influence of board gender diversity on corporate reporting based on the TCFD recommendations suggests that the commitment of boards to the reporting of climate change risks and opportunities is not significantly dependent on gender diversity, as the presence of women in the Boards is favorable for the reporting but without a significant impact on the level of disclosures. This research offers insights into sustainability reporting practices, focusing on a relatively new perspective of reporting climate-related financial topics and their determinants. The findings hold implications for organizational leaders and stakeholders, mainly investors, as these recent sustainable reporting practices are challenging but also bring new opportunities related to transparency towards climate-related issues.
A rheological model analog for assessing the resilience of socio-technical systems across sectors
Authors: Stolz Alexander , Tang Jet Hoe , Fischer Stefan G. , Fischer Kai 
Published: July 2024

AbstractA rheological model is proposed that captures the performance loss and properties of a potential subsequent recovery of socio-technical systems subject to arbitrary disruptions. The model facilitates the quantitative assessment of such systems’ resilience. While most models known from the literature describe systems that fully recover from aforementioned load events, the proposed model can capture also permanent performance loss or post disruption improvement. To demonstrate the versatility of the approach for a wide range of the socio-technical system spectrum, the model is applied to three systems: the frequency stability of the continental Europe power grid, flight operations of German airports, and the revenue of the German gastronomic sector. Fitting the proposed two-spring, one-damper, single-degree-of-freedom model to the recorded performance data determines relevant parameters which serve as a quantitative measure of the respective system’s resilience. The small set of model parameters can be associated with relevant resilience dimensions. Variation of these parameters allows to quantitively determine the change of the model’s response to the load events, and thus of the resilience predicted by the model. This allows to identify parameter ranges in which the model predicts, e.g., full recovery of a system, instead of permanent performance loss.
Comprehensive analysis of drought tolerance in pure lines derived from half-diallel crosses of upland cotton (Gossypium hirsutum L.)
Authors: Gören Hatice Kübra 
Published: July 2024

AbstractDrought has a significant impact on plants, affecting their growth, development and survival. This study focuses on evaluating the impact of drought stress, a significant abiotic factor, on the agronomic and fiber parameters of potential cotton (Gossypium hirsutum L.) lines with the aim of developing drought-tolerant varieties. The experiment involved two irrigation regimes—well-watered (100% field capacity) and deficit irrigation (50% field capacity)—conducted on F9–F10 generations. Key fiber parameters, including fiber length, boll weight, fiber strength, and lint percentage, were identified as crucial selection criteria under both well-watered and deficit irrigation conditions. Notably, boll number emerged as the decisive parameter in both F9 and F10 generations. The study employed univariate and multivariate analyses, such as PCA, heat map cluster, correlation analysis, and decision tree, which consistently highlighted fiber length, boll weight, fiber strength and lint (ginning) percentage the key factor. In the F10 generation, the integration of decision tree and heat map cluster results led to the identification of 8 promising lines. These selected genotypes have potential for inclusion in future cotton breeding programmes, offering the opportunity to increase drought tolerance and improve cotton yield and productivity. Their resilience to environmental stresses makes them promising candidates for improving overall cotton performance under challenging conditions.
Biosynthesis of Silver and Gold Nanoparticles Using Geum urbanum L. Rhizome Extracts and Their Biological Efficiency
Authors: Macovei Irina , Harabagiu Valeria , Burlec Ana Flavia , Mircea Cornelia , Horhogea Cristina Elena , Rimbu Cristina Mihaela , Săcărescu Liviu , Panainte Alina-Diana , Miron Anca , Hăncianu Monica , Nechita Constantin , Corciova Andreia 
Published: July 2024

AbstractThe present study evaluates the biosynthesis of AgNPs and AuNPs using aqueous and ethanolic Geum urbanum L. rhizome extracts. The biosynthesized metal nanoparticles (MNPs) were characterized using UV-Vis spectroscopy, FTIR, DLS, SEM, EDX, and TEM. The UV-Vis spectra confirmed the synthesis of AgNPs and AuNPs through peaks corresponding to the surface plasmon effect of metallic Ag (400–430 nm) and Au (530–570 nm). FTIR analysis indicated that alcohols, phenols, proteins, and carbohydrates from G. urbanum rhizome extracts composition are involved in MNPs synthesis. In DLS analysis, AgNPs (34.26–41.14 nm) showed smaller hydrodynamic diameters than AuNPs (46.26–70.29 nm). At the same time, all values for zeta potential were negative, between − 21 and − 13 mV, suggesting good stabilities for all the colloidal MNPs systems in dispersion. TEM analysis showed that the biosynthesized AgNPs had a spherical morphology, while AuNPs were quasi-spherical, polygonal, and triangular. According to TEM data, AgNPs synthesized using aqueous and ethanolic G. urbanum rhizome extracts were characterized by mean diameters of 9.82 ± 3.68 and 14.29 ± 3.46 nm, while AuNPs by 15.88 ± 6.28 and 24.89 ± 10.75 nm, respectively. EDX analysis confirmed the presence of metallic Ag and Au in the MNPs composition by detecting strong signals at 3 (AgNPs) and 2.2 keW (AuNPs). In disc diffusion assay, MNPs showed good antimicrobial activity against Gram-positive (S. aureus MSSA, S. aureus MRSA, S. epidermidis) and Gram-negative (E. coli, P. aeruginosa, K. pneumoniae) bacteria and yeasts (C. albicans). AgNPs and AuNPs were also characterized by a significant antioxidant potential, evaluated through in vitro assays (lipoxygenase inhibition, DPPH radical scavenging activity, metal ion chelating activity, and hydroxyl radical scavenging assays). An overall better activity was obtained for the ethanolic G. urbanum rhizome extract and its derived AgNPs (EC50 = 34.2 ± 1.86 mg/mL in lipoxygenase inhibition assay). Therefore, the G. urbanum rhizome extracts proved to be excellent sources for biologically active AgNPs and AuNPs.
A study of laser-remelted flame-sprayed NiCrBSi/W composite coatings: the influence of thermal diffusivity
Authors: Szajna E. , Tupaj M. , Moskal G. , Dudek A. , Tomaszewska A. , Trzcionka-Szajna A. , Szymański K. , Trytek A. , Galek T. 
Published: July 2024

AbstractThe article presents research results on the microstructure of laser-remelted NiCrBSi coatings deposited with flame spraying. Two types of coating powders were used. Commercial Metco 15E powder is strengthened with chromium-based carbide and boride phases based on a eutectic form of Ni(Cr) solid solution matrix with borides and Ni silicides. The second powder was also Metco 15E but with the addition of 50 mass% metallic tungsten granules. In both cases, identical parameters of the flame spraying and laser melting processes were used. It was found that introducing tungsten significantly changes the morphology of the coating. This applies to the size of the heat-affected zone, its microstructural nature (grain growth), and the dilution effect. These elements influenced the level of hardness obtained, which was lower in the case of the modified coating. At the same time, however, the modified coating was characterised by a stable microhardness distribution in the cross section, especially in connection with the substrate material. This indicates a strong tendency of tungsten to annihilate the dilution effect and inhibits the decrease in the hardness of the carbide and boride phases associated with the increase in iron content. The factor responsible for the described effects is a significant difference in the thermal diffusivity of the materials used to produce the coatings. This size significantly impacts the scale of the created heat-affected zone and directly affects the mixing effect.
Aim or preference? Reflections on the commitment to the truth in the criminal process
Authors: Picinali Federico 
Published: July 2024

Abstract
It is widely accepted that the criminal process aims at the truth. It is also widely accepted that convicting the innocent is worse than acquitting the guilty. While apparently unrelated, these two claims are in tension with one another. The latter claim is traditionally used to justify a standard of proof that is skewed in favour of the defendant, aimed at protecting the innocent from conviction. A skewed standard, however, is not the standard of proof that minimises expected errors; that is, it is not the standard to choose if truth-finding is indeed the aim of the criminal process. The article attempts to overcome this tension. It argues that, if someone seeks consistency between the commitment to the truth and the commitment to protecting the innocent from conviction, they should treat true outcomes as a preference on which the process is based, not as a/the aim of the process. Notably, a preference entails a more modest practical commitment than that entailed by an aim. Taking this more modest commitment to the truth has implications for the regulation of any phase of the criminal process in which the value of truth appears to be in tension with non-epistemic values.
Partitioned least squares
Authors: Esposito Roberto , Cerrato Mattia , Locatelli Marco 
Published: July 2024

AbstractLinear least squares is one of the most widely used regression methods in many fields. The simplicity of the model allows this method to be used when data is scarce and allows practitioners to gather some insight into the problem by inspecting the values of the learnt parameters. In this paper we propose a variant of the linear least squares model allowing practitioners to partition the input features into groups of variables that they require to contribute similarly to the final result. We show that the new formulation is not convex and provide two alternative methods to deal with the problem: one non-exact method based on an alternating least squares approach; and one exact method based on a reformulation of the problem. We show the correctness of the exact method and compare the two solutions showing that the exact solution provides better results in a fraction of the time required by the alternating least squares solution (when the number of partitions is small). We also provide a branch and bound algorithm that can be used in place of the exact method when the number of partitions is too large as well as a proof of NP-completeness of the optimization problem.
Topological twists of massive SQCD, Part II
Authors: Aspman Johannes , Furrer Elias , Manschot Jan 
Published: July 2024

AbstractThis is the second and final part of ‘Topological twists of massive SQCD’. Part I is available at Lett. Math. Phys. 114 (2024) 3, 62. In this second part, we evaluate the contribution of the Coulomb branch to topological path integrals for $$\mathcal {N}=2$$

N
=
2

supersymmetric QCD with $$N_f\le 3$$

N
f

≤
3

massive hypermultiplets on compact four-manifolds. Our analysis includes the decoupling of hypermultiplets, the massless limit and the merging of mutually non-local singularities at the Argyres–Douglas points. We give explicit mass expansions for the four-manifolds $$\mathbb {P}^2$$

P

2

and K3. For $$\mathbb {P}^2$$

P

2

, we find that the correlation functions are polynomial as function of the masses, while infinite series and (potential) singularities occur for K3. The mass dependence corresponds mathematically to the integration of the equivariant Chern class of the matter bundle over the moduli space of Q-fixed equations. We demonstrate that the physical partition functions agree with mathematical results on Segre numbers of instanton moduli spaces.
How to get to the N – a call for interdisciplinary research on organic N utilization pathways by plants
Authors: Holz Maire , Lewin Simon , Kolb Steffen , Becker Joscha N. , Bergmann Joana 
Published: July 2024

Abstract
Background and aims
While nitrogen (N) derived from soil organic matter significantly sustains agricultural plants, the complexities of organic N utilization pathways remain poorly understood. Knowledge gaps persist regarding diverse organic N pools, the microbial processes in N mineralization, and how plants shape the N-mineralizing microbial community through root exudation.

Results
To address these gaps, we propose an integrated conceptual framework that explores the intricate interplay of soil, plant, and microbiome dynamics within the context of soil carbon (C) cycling. Emphasizing plant effects on gross depolymerization and deamination of organic N—a crucial yet often overlooked aspect—we aim to enhance our understanding of plant N utilization pathways. In this context, we suggest considering the linkages between root and hyphal exudation, followed by rhizosphere priming effects which in turn control N mobilization. Based on the relation between exudation and N turnover, we identify microbial necromass as a potentially important organic N source for plants. Furthermore, we propose applying root economic theory to gain insights into the diverse strategies employed by plants in accessing soil organic N. Stable isotope tracers and functional microbiome analytics provide tools to decipher the complex network of the pathways of organic N utilization.

Conclusions
The envisioned holistic framework for organic N utilization pathways, intricately connects plants, soil, and microorganisms. This lays the groundwork for sustainable agricultural practices, potentially reducing N losses.