bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utility of the second-generation curcumin analogue RL71 in canine histiocytic sarcoma
Authors: Kelly Barnaby , Thamm Douglas , Rosengren Rhonda J. 
Published: August 2023

AbstractCanine histiocytic sarcoma is an aggressive cancer, with a high rate of metastasis. Thus, novel therapeutic approaches are needed. Synthetic analogues of curcumin have elicited potent anti-cancer activity in multiple in vitro and in vivo models of human cancer. Furthermore, the compound 3,5-bis(3,4,5-trimethoxybenzylidene)-1-methylpiperidine-4-one (RL71) has recently exhibited potent cell cycle arrest and apoptotic induction in a canine osteosarcoma cell line. To determine its potency in canine histiocytic sarcoma cells, cell viability of DH82 and Nike cells was measured using the sulforhodamine B assay. Flow cytometry was then used to analyse both cell cycle distribution and apoptosis. Of the five curcumin analogues examined, RL71, had the highest potency with EC50 values of 0.66 ± 0.057 µM and 0.79 ± 0.13 µM in the DH82 and Nike cell lines, respectively. Furthermore, RL71 at the 1x EC50 concentration increased G2/M cell cycle arrest 2-fold, and at the 2x EC50 concentration increased the number of apoptotic cells 4-fold. These findings are consistent with previous work using RL71 in both canine and human cancer cell lines. Future research should be directed on time-dependent changes, and mechanistic investigation in greater detail to elucidate RL71 mechanisms of action.
An interpretive structural modeling—analytic network process approach for analysing green entrepreneurship barriers
Authors: Sarvari Rahim , Jabarzadeh Younis , Karami Azhdar , Jabarnejad Masood 
Published: August 2023

AbstractEntrepreneurship is one of the issues that plays a key role in the economic growth and development of countries. This economic development and technological advancement have caused environmental damage, which has led entrepreneurs to move towards sustainable production and green entrepreneurship. There are, however, challenges and barriers in front of green entrepreneurs. Hence, this article aims to identify the barriers and challenges of green entrepreneurship in Iran and explore their Interactions and prioritization. To achieve this goal, two quantitative and qualitative approaches were used. In the qualitative approach, using the Fuzzy Delphi method and using expert opinions in this field, 16 factors were identified. In the quantitative phase, the ISM-ANP combination approach was used. First, Interpretive Structural Modeling (ISM) was used to analyze the Interactions between these factors. Finally, using the ISM output, the analytic network process (ANP) method was used to prioritize these barriers. The results showed that the factor of reducing budget allocations and investing in green entrepreneurship in the first priority and the factor of high investment costs in the last priority. Given that so far few studies have been conducted in Iran on the barriers to green entrepreneurship, this paper provides a basis for understanding the various factors that prevent the implementation of green entrepreneurship. Also the analysis of these barriers by using the ISM-ANP approach is a new attempt and important in the field green entrepreneurship.
A Machinability Assessment of the Novel Application of Field-Assisted Sintering Technology to Diffusion Bond (FAST-DB) and Functionally Grade Dissimilar Nickel-Based Superalloys
Authors: Lister Samuel , Blanch Oliver Levano , Fernandez Daniel Suarez , Pope Jacob , Baxter Gavin J , Bray Simon , Jackson Martin 
Published: August 2023

AbstractThis work presents an alternative processing route to the conventional powder HIP—forge route for Nickel-based superalloys. Demonstrating how the field-assisted sintering technology (FAST) process can be exploited to successfully diffusion bond or functionally grade two or more Nickel-based superalloys from powder feedstock. The robustness of the process has been further demonstrated by the successful bonding of one alloy in powder form to another in the solid form. Chemical and microstructural analysis of the diffusion bond between the alloys is characterised, in both cases, with a short diffusion zone—in agreement with thermodynamic model predictions. A gradual transition in microhardness across the bond region was measured in all samples. A machinability assessment was also carried out through a simple face turning operation. Analysis of the cutting forces and machined surface shows signs of a directionality when machining across the bond region between two alloys, indicating that care must be taken when machining multi-alloy FAST-DB components.
Sicilian sulphur and mafia: resources, working conditions and the practice of violence
Authors: Ciccarelli Carlo , Dalmazzo Alberto , Razzolini Tiziano 
Published: August 2023

AbstractThis paper reconsiders the nexus between the abundance of resources and the origins of Sicilian mafia by exploiting a new set of historical data at the municipal level on the Sicilian sulphur industry in the late nineteenth century, obtained from official reports of the Royal Corps of Mining Engineers. Our evidence confirms that sulphur favoured the rise of organized crime, as emphasized in the previous studies. However, we show that the impact of local production on mafia was smaller in the areas richest in sulphur. Moreover, mechanization in the extraction process was associated with lower incidence of mafia. Taken together, our findings suggest that larger lodes encouraged better and more orderly working conditions for the miners, possibly reducing physical and psychic strain and, consequently, their inclination to violence. In other words, the quality of working conditions affected the supply of violent individuals.
Clinical observation on Yi Jin Jing (Sinew-transforming Qigong Exercises) in improving anxiety for asymptomatic patients with COVID-19 infection during quarantine
Authors: Xing Hua , Su Xiaojie , Sun Xuqiu , Shao Sheng , Shan Yiming , Li Yazhou , Zhou Chao , Zheng Weicong , Meng Fanchao , Lü Qiang , Sun Wuquan , Gong Li 
Published: August 2023

Abstract
Objective
To observe the effect of Yi Jin Jing (Sinew-transforming Qigong Exercises) intervention on anxiety in asymptomatic patients with Corona Virus Disease 2019 (COVID-19) infection during quarantine.

Methods
A total of 160 asymptomatic patients with COVID-19 infection were stratified by gender and divided into an observation group and a control group by the stratified randomization method, with 80 cases in each group. The control group was given basic nursing in the cabin, and the observation group was given additional Yi Jin Jing exercises once a day, 20 min each time, and trained continuously until 1 d before leaving the cabin. The Hamilton anxiety scale (HAMA) score was compared between the two groups.

Results
A total of 154 cases were included for data analysis in this study, including 74 cases in the observation group and 80 cases in the control group. After intervention, the HAMA scores in both groups increased (P<0.05), while the score in the observation group was lower than that in the control group (P<0.05). In the control group, the HAMA score of females after intervention was higher than that of males. The scores of mental anxiety and somatic anxiety in both groups were higher than those before intervention, while the score of mental anxiety in the observation group was significantly lower than that in the control (P<0.05). However, there was no statistical difference in the somatic score between the two groups (P>0.05).

Conclusion
Patients with COVID-19 infection will get anxious during quarantine. Yi Jin Jing exercise can effectively reduce the aggravation of anxiety in asymptomatic patients with COVID-19 infection during concentrated quarantine.
Product recall effectiveness and consumers’ participation in corrective actions
Authors: Raithel Sascha , Hock Stefan J. , Mafael Alexander 
Published: August 2023

AbstractFirms struggle to respond to product recalls and achieve high recall effectiveness, i.e., the percentage of affected consumers who participate in corrective actions. We present the first comprehensive study of recall effectiveness that analyzes a broader set of product categories, identifies managerially relevant drivers, outlines boundary conditions, and demonstrates the underlying psychological processes. Specifically, three studies investigate the impact of remedy choice, incident likelihood, and their interaction with firm reputation on recall effectiveness. In Study 1 (unique secondary data set), we show that remedy choice and incident likelihood each interact with the firm’s reputation to influence recall effectiveness. In two subsequent experiments, we not only test the findings of the secondary data in a causal setting but also examine the underlying psychological process. We find that offering full remedy leads to higher recall effectiveness for high reputation firms and that recall effectiveness is higher for recalls with a high incident likelihood, but only for high reputation firms. In both cases, firms not only make consumers feel like they would benefit more from participating in the recall, but they also make them feel more comfortable in their ability to participate in the recall. These nuanced findings enable us to derive actionable guidelines for firms to increase recall effectiveness.
Implementing the framed portrait experience with Italian breast cancer survivors: a pilot study assessing short term effects of an existential approach to body image, coping skills, and self-efficacy
Authors: Vagnini Denise , Sorge Antonia , Acquati Chiara , Colafemmina Francesca Antonia , Saita Emanuela 
Published: August 2023

Abstract
Purpose
Breast cancer (BC) and its treatments significantly impact the psychological wellbeing of women. Interventions offered during cancer survivorship have documented positive consequences for quality of life. However, limited evidence is available regarding the implementation of therapeutic photography. This study investigated the efficacy of the framed portrait experience (FPE) when implemented to BC survivors.

Methods
A quasi-experimental study was conducted. Participants were enrolled in a non-randomized pre-post intervention with a comparison group. Forty BC survivors were recruited using a convenience sampling approach; of these, 20 were subsequently allocated to the intervention (FPE group) and 20 to the comparison group. Participants were assessed at pretest and posttest (3 weeks later) using self-reported measures of body image, coping, self-esteem, and self-efficacy. Independent samples t-tests compared group composition at pretest. Mixed between-within 2 × 2 repeated-measures ANOVAs examined pretest–posttest changes in the variables of interest.

Results
No differences were detected between groups at pretest. A significant interaction effect on body image, problem-focused coping, emotion-focused coping, and in self-efficacy competence subscale (p < 0.05) was identified. Post hoc pairwise comparisons with the Bonferroni correction indicated improvement on these domains in the FPE group vs. comparison group. Additionally, significant main effects of time on self-efficacy total score and magnitude subscale (p < 0.05) were found.

Conclusions
Preliminary results support the efficacy of FPE, but further research is needed.

Implications for Cancer Survivors
Existential approaches inclusive of self-portraits and illness narratives can be utilized to support BC survivors in the management of the psychological consequences of the illness.
Pregnancy Denial: Toward a New Understanding of the Underlying Mechanisms
Authors: Chechko Natalia , Losse Elena , Nehls Susanne 
Published: August 2023

Abstract
Purpose of Review
Pregnancy denial is the lack of awareness of being pregnant. The aim of the review is to understand why the affected women do not recognize the signs of pregnancy.

Recent Findings
Twelve case reports of pregnancy denial were published in the last ten years. While in five cases the women had an underlying mental disorder, the rest of the cases involved women who either exhibited no physical symptoms or perceived themselves to be not pregnant despite the symptoms (i.e., repression mechanisms).

Summary
Pregnancy denial is considered to be a pathological issue, a likely consequence of trauma, the wish to not have a child, or a psychiatric problem. However, it appears that the majority of cases cannot be linked to any of the above reasons. We argue, therefore, that, in most cases, pregnancy denial is not associated with mental or physiological problems. Under certain circumstances, it can affect any woman.
Transformational leadership and organizational citizenship behavior: new mediating roles for trustworthiness and trust in team leaders
Authors: Lee Michelle Chin Chin , Lin Mei-Hua , Srinivasan Priyadarshini Moharkonda , Carr Stuart C. 
Published: August 2023

AbstractThis study investigates the pivotal role of trust in bridging the effects of transformational leadership on organizational citizenship behavior (OCB). The study was conducted using a multilevel longitudinal approach with 276 employees in 71 teams from private medium-sized organizations in Kuala Lumpur, Malaysia. Transformational leadership was found to be positively related to: (1) three facets of trustworthiness (ability, benevolence, and integrity); (2) trust in the leader; and (3) OCB. All three facets of trustworthiness mediated the relationship between transformational leadership and trust in leaders. In addition, trust in the leader mediated only the relationship between the benevolence facet of trustworthiness and OCB. As OCB is inherently benevolent, these findings not only are consistent with the principle of compatibility, but they also contribute to theorizing about ‘how’ trust plays an important role in the influence of transformational leadership on employees.
Bioinspired supramolecular macrocycle hybrid membranes with enhanced proton conductivity
Authors: Yang Pengfei , Xu Linlin , Trogadas Panagiotis , Coppens Marc-Olivier , Lan Yang 
Published: August 2023

AbstractEnhancing the proton conductivity of proton exchange membranes (PEMs) is essential to expand the applications of proton exchange membrane fuel cells (PEMFCs). Inspired by the proton conduction mechanism of bacteriorhodopsin, cucurbit[n]urils (CB[n], where n is the number of glycoluril units, n = 6, 7, or 8) are introduced into sulfonated poly(ether ether ketone) (SPEEK) matrix to fabricate hybrid PEMs, employing a nature-inspired chemical engineering (NICE) methodology. The carbonyl groups of CB[n] act as proton-conducting sites, while the host–guest interaction between CB[n] and water molecules offers extra proton-conducting pathways. Additionally, the molecular size of CB[n] aids in their dispersion within the SPEEK matrix, effectively bridging the unconnected proton-conducting sulfonic group domains within the SPEEK membrane. Consequently, all hybrid membranes exhibit significantly enhanced proton conductivity. Notably, the SPEEK membrane incorporating 1 wt.% CB[8] (CB[8]/SPEEK-1%) demonstrates the highest proton conductivity of 198.0 mS·cm−1 at 60 °C and 100% relative humidity (RH), which is 228% greater than that of the pure SPEEK membrane under the same conditions. Moreover, hybrid membranes exhibit superior fuel cell performance. The CB[8]/SPEEK-1% membrane achieves a maximum power density of 214 mW·cm−2, representing a 140% improvement over the pure SPEEK membrane (89 mW·cm−2) at 50 °C and 100% RH. These findings serve as a foundation for constructing continuous proton-conducting pathways within membranes by utilizing supramolecular macrocycles as fuel cell electrolytes and in other applications.
An Overview of the Application of Blue Light-Emitting Diodes as a Non-Thermic Green Technology for Microbial Inactivation in the Food Sector
Authors: Lena Alessia , Marino Marilena , Manzano Marisa , Comuzzi Clara , Maifreni Michela 
Published: August 2023

Abstract Blue light is an emerging technology used for the decontamination of food contact surfaces and products. It is based on the activation of photosensitizers by light, determining the release of reactive oxygen species (ROS). ROS causes damage to bacterial cells leading to cell death. Several types of microbes may be treated, such as bacteria, yeasts, moulds and viruses, in planktonic or biofilm form. Blue light technology is affected by several factors: light parameters (i.e., irradiance, dose, wavelength), microbial parameters (i.e., pH, temperature, initial inoculum, grade of biofilm maturation) and surface parameters (i.e., material, roughness, and optical properties). In addition, it may be used alone or coupled with other technologies. The use of blue light shows several advantages, such as safety for food operators, and a lower release of chemicals in the environment. Moreover, it seems unlikely for bacteria to develop resistance to the blue light application.
Formulation and characterization of starch-based novel biodegradable edible films for food packaging
Authors: Shanbhag Chetana , Shenoy Ramnath , Shetty Prakasha , Srinivasulu M. , Nayak Ramakrishna 
Published: August 2023

AbstractPetroleum-based plastics were widely used as packaging materials. However, plastic materials were not reusable and biodegradable, causing a severe negative impact on the environment. Edible films can be a suitable alternative to plastic films, particularly in food packaging. This research work prepared edible films containing blends of cornstarch, arrowroot powder, refined wheat flour, vinegar, and glycerol. Arrowroot powder added strength and nutritional value to the films. Glycerol, as a plasticiser, improved the flexibility of films. The combination of vinegar and glycerol increased the film’s strength. The characteristic properties of prepared films, like thickness, bursting strength, moisture content, transparency, water-solubility, water vapour permeability, tensile strength, elongation, and Young’s modulus, were analysed. The thermal stability of the films was evaluated by thermogravimetric analysis. The films were characterised by FTIR spectroscopy, and their surface morphology was analysed by scanning electron microscopy. The prepared films exhibited excellent properties suitable for food packaging.
Operational policy development for dynamic restoration of lakes in a changing climate; application of innovative hedging rules in a system dynamics platform
Authors: Erfanian Amir , Azizipour Mohamad , Jalali Mohammad Reza , Afshar Abbas , Soleimanian Elham 
Published: August 2023

AbstractGrowing agricultural and domestic demand exacerbates water shortages globally, creating substantial environmental challenges, especially in lakes and wetlands ecosystems. This paper presents a stationary policy to restore and sustain the water level in natural lakes using a new version of hedging rule that accounts for time-dependent environmental demand and the water allocation to the agricultural and municipal sectors under different climate change projections. The proposed framework is demonstrated via operational policy derived to rehabilitate Lake Urmia in Iran. To simplify the modeling process, all reservoirs in the basin are replaced with an equivalent reservoir (ER) to allocate the available water between potential users. The ER is then operated using the set of hedging rules derived for staged restoration and sustainability of the lake level while meeting other stakeholder objectives. A system dynamics-based model is used to simulate the multi-sectoral system of the basin while using a built-in optimization algorithm to develop the most desirable multi-period operational policy. The lake-level condition is investigated by producing lake-level duration curves, while the reservoir performance indices (reliability, resiliency, and vulnerability) are used for assessing water supply in the basin. The results indicate that the proposed framework is highly effective in restoring lake level while meeting agricultural and municipal water demand in the basin. The proposed model provides a stationary policy for the lake restoration accounting for the dynamic variation of the lake level and fluctuations of the reservoirs inflow due to climate variability and change.
Efficient Techniques for Residential Appliances Scheduling in Smart Homes for Energy Management Using Multiple Knapsack Problem
Authors: Shewale Amit , Mokhade Anil , Lipare Amruta , Bokde Neeraj Dhanraj 
Published: August 2023

AbstractThe evolution of the smart grid has enabled residential users to manage the ever-growing energy demand in an efficient manner. The smart grid plays an important role in managing this huge energy demand of residential households. A home energy management system enhances the efficiency of the energy infrastructure of smart homes and provides an opportunity for residential users to optimize their energy consumption. Smart homes contribute significantly to reducing electricity consumption costs by scheduling domestic appliances effectively. This residential appliance scheduling problem is the motivation to find an optimal appliance schedule for users that could balance the load profile of the home and helps in minimizing electricity cost (EC) and peak-to-average ratio (PAR). In this paper, we have focused on appliance scheduling on the consumer side. Two novel home energy management models are proposed using multiple scheduling options. The residential appliance scheduling problem is formulated using the multiple knapsack technique. Serial and parallel scheduling algorithms of home appliances namely MKSI (Multiple knapsacks with serial implementation) and MKPI (Multiple knapsacks with parallel implementation) are proposed to reduce electricity cost and PAR. Price-based demand response techniques are incorporated to shift appliances from peak hours to off-peak hours to optimize energy consumption. The proposed algorithms are tested on real-time datasets and evaluated based on time of use pricing tariff and critical peak pricing. The performance of both the algorithms is compared with the unscheduled scenario and existing algorithm. Simulations show that both proposed algorithms are efficient methods for home energy management to minimize PAR and electricity bills of consumers. The proposed MKSI algorithm achieves cost reduction of 20.26% and 42.53% for TOU and CPP, respectively as compared to the unscheduled scenario while PAR is reduced by 45.07% and 39.51% for TOU and CPP, respectively. The proposed MKPI algorithm achieves 22.33% and 46.36% cost reduction compared to the unscheduled case for TOU and CPP while the PAR ratio is reduced by 46.47% and 41.16% for TOU and CPP respectively.
Process development for efficient pectin extraction from tobacco residues and its characterisation
Authors: Bedzo Oscar K. K. , Gottumukkala Lalitha D. , Sasso Giuseppe Lo , Kaminski Kacper , Schlage Walter , Goffman Fernando , Ivanov Nikolai , Hoeng Julia , Hayes Daniel J. 
Published: August 2023

AbstractThis study presents a method for effective pectin extraction from the laminae of three tobacco varieties as a means of biomass valorisation. Two pre-treatment methods (cold ethanol vs. accelerated solvent extraction [ASE] with ethanol) were compared for their capacities to produce a high pectin yield. Enzymatic extraction of pectin was also tested as a green extraction procedure and compared to the acid extraction approach. The optimisation experiments revealed that cold ethanol extraction followed by acid hydrolysis is the most convenient method for pectin extraction; the optimal set of conditions for hydrolysis were identified as 90°C, pH 1.5, and 4 h of extraction. Applying these optimised conditions to the three Nicotiana rustica tobacco varieties yielded pectin recoveries of 66.2%, 57.8%, and 56.7% from the NRT63, Bakoum Miena, and NRT61 samples, respectively. Tobacco pectins were found to have a medium molecular weight and low methoxy content. These results highlight the potential of tobacco residues as feedstock for to produce pectin with dietary applications.