bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of green HRM practices on green innovative work behaviour: empirical evidence from the hospitality sector of China and Pakistan
Authors: Khan Karamat , Gogia Eimad Hafeez , Shao Zhen , Rehman Mohd Ziaur , Ullah Assad 
Published: February 2025

Abstract
Amid a global shift towards eco-friendly practices, this study investigates the impact of green human resource management (GHRM) practices on green innovative work behavior (GIWB) in the hospitality sector, focusing on emerging and developing countries, specifically China and Pakistan. The research also explores the mediating roles of green perceived organizational support (GPOS) and organizational citizenship behavior towards the environment (OCBE), as well as the moderating role of green transformational leadership (GTL). This study is grounded in the AMO (ability, motivation, and opportunity) theory and organizational support theory. Data were collected through a questionnaire, yielding 503 valid responses from hotel employees in Beijing, China, and 498 valid responses from Islamabad, Pakistan. Structural Equation Modeling (SEM) was employed to examine and compare the results across both samples. The findings reveal positive and significant relationships between GHRM and GIWB, as well as notable mediation and moderation effects among the specified variables. Interestingly, GTL did not significantly moderate the relationship between GHRM and GIWB in Pakistan’s sample, highlighting a regional contrast. This study contributes to advancing the implementation of GHRM practices to enhance GIWB in the hospitality sector, with insights into the role of GTL across different cultural contexts.
A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy
Authors: Han Kyungdoe , Kim Eunhee , Ryu Kyoung-Seok , Lee Donghan 
Published: February 2025

Abstract
When analyzing the Free Induction Decay (FID) signal produced by nuclear magnetic resonance (NMR) spectroscopy, Fourier transforms (FT) are used to decompose time-domain signals arising from nuclear interactions. This transformation enables the extraction of frequency-domain information, allowing for the recognition of patterns within the generated NMR spectra. Most modern NMR processing software applies FT to generate the final spectra. Researchers process FID using various techniques, such as phase correction, windowing, and FT, to enhance the interpretation of the obtained spectra. This processing step requires careful consideration of the characteristics of the original data and can also be influenced by the researchers' experience, often making it time-consuming to produce reliable results. However, recent advancements in artificial intelligence, particularly deep learning, have demonstrated superior pattern recognition capabilities compared to humans in complex scenarios. These developments have been successfully applied to various aspects of NMR spectroscopy. In this study, we demonstrate that neural networks can replace FT in NMR spectroscopy, enabling robust and rapid prediction of spectra and peak lists from FID signals. Our results confirm that deep learning can efficiently process NMR data to generate final spectra. As a proof of concept, we present the resulting spectra, along with peak lists predicted by supplying only FID input to the deep learning algorithm. The generated peak lists can be considered as spectra with infinite resolution.
2-D numerical experiments of thermal convection of highly viscous fluids under strong adiabatic compression: implications on mantle convection of super-Earths with various sizes
Authors: Kameyama Masanori 
Published: February 2025

Abstract
We conduct a series of numerical experiments of thermal convection of compressible fluids with temperature-dependent viscosity, in order to study how the adiabatic compression and model geometries affect the mantle convection on super-Earths. A two-dimensional basally heated convection is considered under the truncated anelastic liquid approximation (TALA), either in a rectangular box or in a cylindrical annulus. We varied the magnitude of adiabatic heating and the Rayleigh number as well as the depth profile of thermodynamic properties (thermal expansivity and reference density) in accordance with the planetary sizes. From our calculations by varying the planetary sizes up to 10 times the Earth’s mass, we confirmed that the adiabatic compression affects the thermal convection more strongly for larger planets. The activity of hot plumes originating from the core–mantle boundary is significantly suppressed in the terrestrial planets whose mass is larger than the Earth’s by a factor of about 3 regardless of the model geometries. We also developed scaling relationships between the vigor of thermal convection and the planetary mass by appropriately incorporating the effect of adiabatic compression into those of Boussinesq (or incompressible) cases. Our scaling relationships suggest that the stress level in the top cold thermal boundary layers is almost independent of the planetary mass, which may further imply that the emergence of plate tectonics is not likely to be enhanced for massive terrestrial planets whose composition is similar to the Earth’s.

Graphical Abstract
Discovering the anti-parasitic activity of melatonin loaded lecithin/chitosan nanoparticles against giardiasis and cryptosporidiosis in Balb/c infected mice
Authors: Nasser Mohamed , El-atif Mona B. Abd , Alaa Habiba , Abdelaziz Mariam , Mustafa Mariam , Masour Mustafa , Magdy Salma , Mohsen Salma , El Karamany Yomna , Farid Alyaa 
Published: February 2025

Abstract

Background

Giardia duodenalis and Cryptosporidium parvum are the primary causes of diarrhea with global attention due to the severe pathophysiological changes leading to mortality. During this study, we explored the biological protozoal contaminants (Giardia and Cryptosporidium spp.) in some areas of the Nile River. Then, we evaluated effectiveness of melatonin (Mel) and melatonin loaded lecithin/chitosan nanoparticles (Mel-LCNPs) against giardiasis and cryptosporidiosis in mice models using parasitological and inflammatory response examination.

Results
The number of positive samples for Cryptosporidium was higher than that for Giardia with percentage of 46.67% and 40.0%, respectively. Prior to treatment, the physical characterization (hydrodynamic size and zeta potential) and in vitro characterization of Mel-LCNPs were carried. Mel-LCNPs revealed a hydrodynamic size of 78.8 nm and a zeta potential of − 27.2 mV. Furthermore, they have powerful antioxidant and anti-inflammatory properties, while displaying minimal anticoagulant and cytotoxic effects during in vivo evaluation. Mel was consistently discharged from nanoparticles in a regulated and enduring manner for 36 h. Moreover, Mel in NPs has an entrapment efficiency (EE) of 33.6% and a drug loading capacity (DLC) of 7.2% and significant reduction (100% and 99.4%, respectively) in the shedding of Giardia cysts and Cryptosporidium oocysts. This reduction was higher than that observed with Mel alone or LCNPs alone on the 14th day post-infection. Moreover, mice of group V, which received Mel-LCNP treatment, exhibited significantly normal levels of interleukin-4 (IL-4) and interferon-gamma (IFN-γ) as well as healthy control mice group (group I).

Conclusion
Mel-LCNPs were highly effective preparations against giardiasis and cryptosporidiosis in Balb/c mice experimentally infected with proved antioxidant, anti-inflammatory, and immunological modulatory characteristics.
Blue applicability grade index assessment and response surface modelling to synchronous determination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate by HPTLC method
Authors: Prajapati Pintu , Patil Krutika , Naik Dhrumi , Pulusu Veera Shakar , Haque Anzarul , Kalam Mohd Abul , Shah Shailesh 
Published: February 2025

Abstract
Diabetes mellitus is major chronic disease found in human due to stressful lifestyle and bad food habit. Recently, the Central Drugs Standard Control Organization of India has approved combination of metformin hydrochloride, vildagliptin and dapagliflozin propanediol monohydrate for the management of diabetes mellitus. Numerous chromatographic methods have been published in the literature for estimation of these anti-diabetic drugs on individual basis and their combinations. But these chromatographic analyses promoted usage of toxic organic solvents which are harmful to the environment and aquatic animal lives. In addition, no chromatographic method was found in the literature for simultaneous estimation of these anti-diabetic drugs using green solvents. In recent days, white analytical chemistry approach has been introduced in the literature for development and assessment of green, accurate, precise, cost-effective and user-friendly chromatographic methods. Hence, white analytical chemistry-driven risk-based HPTLC method was developed for synchronous estimation of these anti-diabetic drugs using green solvents and response surface modelling. The analytical quality risk assessment was applied for identification of critical method variables and response variables using risk priority number ranking and filtering method. The critical method variables were linked with critical response variables using response surface modelling by Box–Behnken design. The analytical design space was navigated control strategy was framed for robust densitometric estimation of anti-diabetic drugs. The chromatographic method was validated as per ICH Q2 (R2) guideline. The developed method was applied for synchronous assay of multiple combinations of metformin, vildagliptin and dapagliflozin using single chromatographic condition to save time, cost and resources for analysis. The assay results of these anti-diabetic drug combinations were found to be complied with the respective labelled claim of the drugs. The developed and published chromatographic methods were assessed for their redness, greenness, blueness and whiteness profiles using green analytical metrics and RGB model scoring system. The proposed method was found to be green, cost-effective, robust and user-friendly for synchronous estimation of metformin, vildagliptin and dapagliflozin.
Lower serum magnesium level is an important risk factor for erythropoiesis-stimulating agents hypo-responsiveness in hemodialysis patients
Authors: Hebah Hayam , Abdelmegied Shaimaa , Osman Dina , Khedr Lina 
Published: February 2025

Abstract

Purpose
There is an established inverse association between serum magnesium levels and anemia in the general population. However, limited information is available about this association in patients on hemodialysis. This study investigated the relationship between serum magnesium and anemia in prevalent hemodialysis patients and its relation to erythropoiesis-stimulating agents (ESAs) hyporesponsiveness.

Methods
A cross-sectional observational study included 80 prevalent hemodialysis patients. Laboratory data were measured over 3 months. Study populations were divided into 2 groups; group A (n = 34) with serum Mg ≤ 2.2 mg/dl and group B (n = 46) with serum Mg > 2.2 mg/dl. The erythropoietin resistivity index (ERI) was calculated for all patients.

Results
There were significantly lower mean hemoglobin levels in patients with normo-hypomagnesemia vs patients with hypermagnesemia (8.96 ± 0.44 Vs 9.51 ± 0.39 g/dl respectively), with a p-value < 0.001. ERI mean values were (13.63 ± 3.17 Vs 10.52 ± 2.74 IU/week/kg) which was also found to be a significant p-value < 0.001. Patients with normo-hypomagnesemia had more dialysis-associated symptoms (tremors, weakness, and muscle cramps) (p-value < 0.001). Low serum magnesium was positively correlated with hemoglobin and transferrin saturation (p-value 0.019, 0.001) respectively while it negatively correlated with PTH and ERI (p-value < 0.001, 0.001) respectively. Multivariate analysis revealed that low serum magnesium has been an independent risk for ERI 5 times with odds ratio (OR = 5.159 and p-value < 0.001).

Conclusion
Lower serum magnesemia is an important risk factor for ESAs hypo-responsiveness with more dialysis-associated symptoms.
Modeling of masonry infilled RC frames with different aspect ratios using plastic hinge and equivalent strut
Authors: El-Kholy Ahmed M. , Sayed Sayed M. , El-Assaly Mohamed M. , Ismail Mohamed K. 
Published: February 2025

Abstract
The existence of diverse modeling approaches for masonry-infilled frames causes uncertainty among practicing engineers when seeking a definitive model for their design practice. This paper presents a practical and simple approach to modeling the masonry-infilled frames. The proposed approach models the plasticity in the beams and columns of the reinforced concrete (RC) frames using flexural plastic hinges while modeling the masonry panel as a nonlinear equivalent strut. The implementation of the hinge is based on discretizing the frame cross-section into fibers and utilizing a popular formula to estimate the plastic hinge length specific to masonry-infilled frames. Furthermore, the implemented equivalent strut model employs a trilinear force–displacement backbone curve. The efficiency of this approach was evaluated against the experimental results of four different tested infilled RC frames available in the literature. A conventional approach based on a typical explicit plastic hinge was included for comparison. Unlike the conventional approach, the numerical results obtained from the presented approach better matched the experimental results. Subsequently, the presented approach was utilized to investigate the effect of the aspect ratio of clay masonry infill panels on the behavior of RC frames. The investigation revealed that the panels with larger aspect ratios provided a larger contribution to the ultimate lateral load, despite experiencing lower ultimate axial stresses compared to panels with smaller aspect ratios. However, increasing the thickness of the masonry infill with a small aspect ratio appeared to improve its effectiveness in resisting the lateral force.
A stage IIIA lung adenocarcinoma case achieving pathological response with only one cycle of preoperative nivolumab combination chemotherapy
Authors: Baba Shuhei , Kinoshita Fumihiko , Yamamoto Yoshihiro , Nakanishi Yoshiyuki , Akamine Takaki , Kohno Mikihiro , Ozono Keigo , Takenaka Tomoyoshi , Yoshizumi Tomoharu 
Published: February 2025

Abstract

Background
Preoperative nivolumab combination chemotherapy has shown its efficacy in resectable stage II–III non-small cell lung cancer and become one of the standard treatments. While preoperative nivolumab combination chemotherapy is generally a regimen of three cycles, the efficacy of nivolumab combination chemotherapy when treatment is prematurely discontinued remains unclear.

Case presentation
An 81-year-old man was diagnosed as lung adenocarcinoma (cT3N1M0, cStage IIIA). A computed tomography (CT) showed a 58 mm mass in left upper lobe with an intrapulmonary metastasis, and a positron-emission tomography/CT suggested metastatic lymph nodes at the left pulmonary hilum. Preoperative nivolumab + carboplatin + paclitaxel were administered; however, after the first cycle, the treatment was discontinued due to grade 3 anorexia, grade 1 body weight loss, and grade 4 neutropenia. It was affair that continuation of preoperative therapy made him unsuitable for surgery, and CT scan showed a reduction in the tumor size to 20 mm. Then, we decided to discontinue the preoperative therapy and perform surgery. Video-assisted thoracoscopic left upper lobectomy and lymph node dissection were performed, and the postoperative course was uneventful. The pathological examination revealed 15% of residual tumor cell in primary lesion and no metastatic lymph nodes was diagnosed. The patient did not undergo adjuvant chemotherapy, and no recurrence was observed 1.5 years after surgery

Conclusions
In this case, preoperative nivolumab combined chemotherapy was discontinued only one cycle due to adverse events; however, a significant treatment effect was achieved. Therefore, even it is unable to continue preoperative nivolumab combined therapy, it is important not to miss the chance of surgery, as good treatment effect may have been achieved.
Workforce Diversity in Sports Medicine: Analysis of Recent Trends Relative to the US Population
Authors: Silvestre Jason , Kelly John D. , Slone Harris S. 
Published: February 2025

Abstract
This was a cross-sectional study of sports medicine fellows from previous (2010–2015) and contemporary (2016–2021) training periods. There were 2315 trainees from family medicine (FM, 85%), 261 trainees from physical medicine and rehabilitation (PMR, 10%), and 133 trainees from emergency medicine (EM, 5%). PMR had the highest female and Asian trainee representation while FM had the highest Black trainee representation. There was no difference in female representation between training periods (30% vs 30%, P = 0.714). White trainee representation decreased between training periods (72% vs 65%, P < 0.001). Black (6% vs 6%, P = 0.894), Asian (15% vs 15%, P = 0.970), and Hispanic (6% vs 7%, P = 0.130) trainee representation was consistent between training periods. Female (participation-to-prevalence ratio, PPR = 0.59), Black (PPR = 0.48), Hispanic (PPR = 0.35), and American Indian/Alaskan Native (PPR = 0.17) trainees were underrepresented in sports medicine relative to the US population. Efforts to recruit underrepresented groups in sports medicine fellowship training may help create a more diverse workforce.
Bayesian Mechanism Design for Blockchain Transaction Fee Allocation
Authors: Chen Xi , Simchi-Levi David , Zhao Zishuo , Zhou Yuan 
Published: February 2025

Reliable Blockchain Transaction Fee Mechanisms with Revenue Guarantees In the paper “Bayesian Mechanism Design for Blockchain Transaction Fee Allocation” by Xi Chen, David Simchi-Levi, Zishuo Zhao, and Yuan Zhou, the authors address the critical challenge of designing reliable blockchain transaction fee mechanisms (TFMs) that ensure truthfulness, collusion-proofness, and desirable miner revenues. By proposing an innovative “auxiliary mechanism method,” the authors establish connections between Bayesian Nash Incentive Compatible (BNIC) and Dominant Strategy Incentive Compatible (DSIC) mechanisms through an “auxiliary-variation decomposition.” This breakthrough allows the proposed mechanism to bypass previous limitations in TFM design via the Bayesian game setting, achieving constant-ratio approximations of optimal miner revenues while providing strong incentive guarantees. The research not only advances the theoretical understanding of blockchain fee mechanisms but also demonstrates the potential versatility of the auxiliary mechanism method for designing and optimizing BNIC mechanisms across broader applications. This work represents a significant contribution to both blockchain economics and mechanism design, offering a pathway toward more reliable and efficient blockchain ecosystems.
Algorithmic Recommendation Tools and Experiential Learning in Clinical Care
Authors: Sundaresan Shirish , Guler Isin 
Published: February 2025

This study examines the relationship between the adoption of algorithmic recommendation tools and experiential learning. We argue that the adoption of an algorithmic recommendation tool will harm experiential learning in organizations by limiting knowledge retention and retrieval. We further argue that the adverse relationship between algorithmic tool adoption and experiential learning will be stronger in organizations operating in low-task-difficulty environments than those in high-task-difficulty ones because organizational members in such organizations are likely to rely more on algorithmic recommendations, experiencing higher skill erosion. In addition, the relationship will be stronger in organizations facing low task variety than in those with high task variety, as these organizations are likely to have more rigid routines and in turn experience higher routine disruption after adopting an algorithmic tool. We utilize data on the adoption of an algorithmic tool called a clinical decision support system (CDSS) in a sample of emergency departments in California and utilize a fixed-effects panel regression with control function to test our arguments. We find that the relationship between cumulative experience and mortality becomes significantly weaker after CDSS adoption, suggesting flatter learning curves. We also find evidence that the effect is moderated by task difficulty and task variety. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2022.16738 .
Efecto del consumo de polifenoles sobre biomarcadores de inflamación y endotoxemia en personas con obesidad: una revisión sistemática.
Authors: López González Luz Adriana , González Correa Clara Helena , Astudillo Muñoz Elcy Yaned , Jaramillo López Manuel Felipe 
Published: February 2025

Introducción: las enfermedades crónicas han aumentado a nivel mundial debido al estilo de vida y otros factores como el tabaquismo, el alcohol, la obesidad, la comida ultraprocesada baja en fibra, carente de frutas y verduras, etc. La evidencia científica respalda el uso de polifenoles dietarios como agentes preventivos y terapéuticos que podrían ayudar con la carga de estas patologías modulando la respuesta inflamatoria y la endotoxemia. Objetivo: evaluar los efectos del consumo de polifenoles sobre parámetros relacionados con la obesidad, como los biomarcadores inflamatorios y de endotoxemia, los perfiles glucémicos y peso en personas con esta condición. Metodología: Se realizó búsqueda de ensayos clínicos aleatorizados en bases de datos PubMed, Science Direct, Ovid y Ebsco. Se accedió a estudios sobre adultos obesos publicados entre enero de 2019 hasta marzo de 2024 que evaluaran el efecto de los polifenoles dietarios en biomarcadores de inflamación (FNTα, PCR hs, IL6 e IL10) y de endotoxemia (LPS). Resultados: Se incluyeron 11 estudios con 506 participantes. Se evidenció en el 73% de los estudios que los biomarcadores más sensibles a la disminución con el consumo de polifenoles fueron PCR, IL6 y FNTα. Con relación a la endotoxemia la lipoproteína fijadora de lipopolisacáridos aumentó en 30% en el grupo de intervención y los lipopolisacáridos no se afectaron. La glicemia disminuyó en promedio 15% y el peso se mantuvo estable lo que indica que los polifenoles puedan ser, además, coadyuvantes en el manejo del peso. Discusión: el consumo de polifenoles evidenció tolerancia y modulación de la inflamación y la endotoxemia pero se requieren más estudios. Conclusión: los fitonutrientes dietarios son sustancias prometedoras en el manejo de la inflamación, la endotoxemia, la glicemia y el peso en pacientes con obesidad.