Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between the Erythrocyte Membrane Fatty Acid Profile and Cognitive Function in the Overweight and Obese Population Aged from 45 to 75 Years Old

Dietary fatty acid intake is closely related to the cognitive function of the overweight and obese population. However, few studies have specified the correlation between exact fatty acids and cognitive functions in different body mass index (BMI) groups. We aimed to explain these relationships and reference guiding principles for the fatty acid intake of the overweight and obese population. Normal weight, overweight, and obese participants were recruited to receive a cognitive function assessment and dietary survey, dietary fatty acids intake was calculated, and the erythrocyte membrane fatty acid profile was tested by performing a gas chromatography analysis. The percentages of saturated fatty acids (SFAs) in the obese group were higher, while monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs) were lower than in the normal weight and overweight groups. In the erythrocyte membrane, the increase of n-3 PUFAs was accompanied by cognitive decline in the overweight group, which could be a protective factor for cognitive function in the obese group. High n-6 PUFAs intake could exacerbate the cognitive decline in the obese population. Dietary fatty acid intake had different effects on the cognitive function of overweight and obese people, especially the protective effect of n-3 PUFAs; more precise dietary advice is needed to prevent cognitive impairment.
Ecotourism as a vehicle for local economic development: A case of Tsholotsho District Zimbabwe

Abstract Given that many local authorities specifically in rural areas struggle to strengthen and boost their local economies despite having vast natural resources and as such ecotourism can be a potential backbone of Local Economic Development (LED). The research examines the role of tourism as a vehicle for improving and strengthening Local Economic Development Initiatives for Rural Local Authorities in Tsholotsho District, Matabeleland Province, Zimbabwe. The sample of the study consisted of 296 participants ranging from community members and selected stakeholders in ecotourism. Data were gathered through interviews and questionnaires. The data were analysed using the Statistical Packages for Social Sciences (SPSS) version 16.0 and STATISTICA. Safari was the dominant tourism activity in Tsholotsho. There were significant variations (p < 0.05) in terms of incomes generated from ecotourism activities with craftwork selling being the most dominant. Results of the study showed that there is significant association (p < 0.05) between local economic development and tourism. The challenges faced in initiating LED are lack of funds, politicisation of natural resource governance and lack of community and traditional leadership engagement in key decision making by the Tsholotsho Rural District Council (RDC) and Safari Operators. The study recommends a grassroot-based approach to ecotourism development and strengthening of problem animal control by the RDC and that there is decentralisation and inclusivity in natural resource governance.
Molecular Structure-Based Screening of the Constituents of Calotropis procera Identifies Potential Inhibitors of Diabetes Mellitus Target Alpha Glucosidase

Diabetes mellitus is a disorder characterized by higher levels of blood glucose due to impaired insulin mechanisms. Alpha glucosidase is a critical drug target implicated in the mechanisms of diabetes mellitus and its inhibition controls hyperglycemia. Since the existing standard synthetic drugs have therapeutic limitations, it is imperative to identify new potent inhibitors of natural product origin which may slow carbohydrate digestion and absorption via alpha glucosidase. Since plant extracts from Calotropis procera have been extensively used in the treatment of diabetes mellitus, the present study used molecular docking and dynamics simulation techniques to screen its constituents against the receptor alpha glucosidase. Taraxasterol, syriogenin, isorhamnetin-3-O-robinobioside and calotoxin were identified as potential novel lead compounds with plausible binding energies of −40.2, −35.1, −34.3 and −34.3 kJ/mol against alpha glucosidase, respectively. The residues Trp481, Asp518, Leu677, Leu678 and Leu680 were identified as critical for binding and the compounds were predicted as alpha glucosidase inhibitors. Structurally similar compounds with Tanimoto coefficients greater than 0.7 were reported experimentally to be inhibitors of alpha glucosidase or antidiabetic. The structures of the molecules may serve as templates for the design of novel inhibitors and warrant in vitro assaying to corroborate their antidiabetic potential.
Intrinsic and extrinsic values of destinations

This study re-evaluates the concept of destination value to develop and propose a solution to the theoretical dilemmas encountered in tourism research. For this purpose, a hierarchical structure including the intrinsic and extrinsic values of destinations was developed first. A mixed methodology was adopted to achieve the research objectives. In the qualitative part of the study, data was gathered through literature review and document analysis. In the quantitative part, data was collected from field experts. Then importance weights for the themes and subthemes forming destination value were measured by fuzzy criteria weighting using pairwise comparisons technique. The key results obtained with this study supported the validity of the distinction between the intrinsic and extrinsic values of destinations. Analysis revealed that any approach based on intrinsic and extrinsic destination values is suitable when dealing with the information from a range of disciplines.
Metabolism, Mitochondrial Dysfunction, and Redox Homeostasis in Pulmonary Hypertension

Pulmonary hypertension (PH) represents a group of disorders characterized by elevated mean pulmonary artery (PA) pressure, progressive right ventricular failure, and often death. Some of the hallmarks of pulmonary hypertension include endothelial dysfunction, intimal and medial proliferation, vasoconstriction, inflammatory infiltration, and in situ thrombosis. The vascular remodeling seen in pulmonary hypertension has been previously linked to the hyperproliferation of PA smooth muscle cells. This excess proliferation of PA smooth muscle cells has recently been associated with changes in metabolism and mitochondrial biology, including changes in glycolysis, redox homeostasis, and mitochondrial quality control. In this review, we summarize the molecular mechanisms that have been reported to contribute to mitochondrial dysfunction, metabolic changes, and redox biology in PH.
Optimal Operation for Regional IES Considering the Demand- and Supply-Side Characteristics

A regional integrated energy system (RIES) is an electricity-centric multi-energy system that can realize the mutual conversion of electricity, heat, cold, and other energy. Through multi-flexible resource interaction and the transaction of multi-investment entities, the efficiency of energy utilization can be improved. To systematize energy-consuming entities and scale photovoltaic-based renewable energy in a distribution network, the energy-consuming behavior, energy-producing schedule, and trading strategy can be coupled. Considering the interaction between the energy-consuming behavior and the uncertainty of distributed photovoltaic output, an optimal operation method for RIES is proposed on the basis of social network theory and an uncertain evolutionary game method in this paper. From the perspective of the operator, the overall profits of RIES are maximized considering the entity characteristics of both the demand and the supply side. A case study shows that the proposed method can ensure the reasonable distribution of profit among the investment entities. A closer social relationship between energy-consuming entities or a lower transaction risk cost of energy-producing entities can increase the overall energy transaction profit.
A note on explicit expressions for moments of order statistics

Closed-form expressions for moments of order statistics from the normal, log-normal, gamma and beta distributions were provided in the statistics literature. In particular, the explicit expressions involve the Lauricella function of type A, and the generalized Kampé de Fériet function. We note that the expressions provided by the author do not appear correct, which implies that the expressions cannot be recommended to users. An alternative closed-form expression for moments of order statistics is then provided. We also consider numerical studies to show that the formulas we provide deliver satisfactory results.
Evaluation of Methods for Measuring Fusarium-Damaged Kernels of Wheat

Fusarium head blight (FHB) is one of the most economically destructive diseases of wheat (Triticum aestivum L.), causing substantial yield and quality loss worldwide. Fusarium graminearum is the predominant causal pathogen of FHB in the U.S., and produces deoxynivalenol (DON), a mycotoxin that accumulates in the grain throughout infection. FHB results in kernel damage, a visual symptom that is quantified by a human observer enumerating or estimating the percentage of Fusarium-damaged kernels (FDK) in a sample of grain. To date, FDK estimation is the most efficient and accurate method of predicting DON content without measuring presence in a laboratory. For this experiment, 1266 entries collectively representing elite varieties and SunGrains advanced breeding lines encompassing four inoculated FHB nurseries were represented in the analysis. All plots were subjected to a manual FDK count, both exact and estimated, near-infrared spectroscopy (NIR) analysis, DON laboratory analysis, and digital imaging seed phenotyping using the Vibe QM3 instrument developed by Vibe imaging analytics. Among the FDK analytical platforms used to establish percentage FDK within grain samples, Vibe QM3 showed the strongest prediction capabilities of DON content in experimental samples, R2 = 0.63, and higher yet when deployed as FDK GEBVs, R2 = 0.76. Additionally, Vibe QM3 was shown to detect a significant SNP association at locus S3B_9439629 within major FHB resistance quantitative trait locus (QTL) Fhb1. Visual estimates of FDK showed higher prediction capabilities of DON content in grain subsamples than previously expected when deployed as genomic estimated breeding values (GEBVs) (R2 = 0.71), and the highest accuracy in genomic prediction, followed by Vibe QM3 digital imaging, with average Pearson’s correlations of r = 0.594 and r = 0.588 between observed and predicted values, respectively. These results demonstrate that seed phenotyping using traditional or automated platforms to determine FDK boast various throughput and efficacy that must be weighed appropriately when determining application in breeding programs to screen for and develop resistance to FHB and DON accumulation in wheat germplasms.
Silver Nimesulide Complex in Bacterial Cellulose Membranes as an Innovative Therapeutic Method for Topical Treatment of Skin Squamous Cell Carcinoma

Oxidative stress and inflammation act on skin squamous cell carcinoma (SSCC) development and progression. Curative therapy for SSCC patients is mainly based on surgical resection, which can cause various sequelae. Silver ions have in vitro activities over tumor cells, while nimesulide has antioxidant and anti-inflammatory activities. This study aimed to evaluate the effects of a silver(I) complex with nimesulide (AgNMS) incorporated in a sustained release device based on bacterial cellulose membrane, named AgNMS@BCM, on topic SSCC treatment. The antiproliferative effect of AgNMS complex was evaluated in the SCC4, SCC15 and FaDu SCC lines. AgNMS complex activity on exposure of phosphatidylserine (PS) residues and multicaspase activation were evaluated on FaDu cells by flow cytometry. The AgNMS@BCM effects were evaluated in a SSCC model induced by 7,12-dimethylbenzanthracene/12-o-tetradecanoyl-phorbol-13-acetate (DMBA/TPA) in mice. Toxicity and tumor size were evaluated throughout the study. AgNMS complex showed antiproliferative activity in SCC15 and FaDu lines in low to moderate concentrations (67.3 µM and 107.3 µM, respectively), and induced multicaspase activation on FaDu cells. The AgNMS@BCM did not induce toxicity and reduced tumor size up to 100%. Thus, the application of AgNMS@BCM was effective and safe in SSCC treatment in mice, and can be seen as a potential and safe agent for topic treatment of SSCC in humans.
SFINet: Shuffle–and–Fusion Interaction Networks for Wind Power Forecasting

Wind energy is one of the most important renewable energy sources in the world. Accurate wind power prediction is of great significance for achieving reliable and economical power system operation and control. For this purpose, this paper is focused on wind power prediction based on a newly proposed shuffle–and–fusion interaction network (SFINet). First, a channel shuffle is employed to promote the interaction between timing features. Second, an attention block is proposed to fuse the original features and shuffled features to further increase the model’s sequential modeling capability. Finally, the developed shuffle–and–fusion interaction network model is tested using real-world wind power production data. Based on the results verified, it was proven that the proposed SFINet model can achieve better performance than other baseline methods, and it can be easily implemented in the field without requiring additional hardware and software.
Cloud manufacturing:a new service-oriented networked manufacturing model

To solve more complex manufacturing problems and perform larger-scale collaborative manufacturing,the impediments to practical application and development of Networked Manufacturing(NM) were analyzed.Technologies,such as cloud computing,cloud security,high performance computing,Internet of things which were used to solve the mentioned impediments,were briefly described.Based on it,a new service-oriented networked manufacturing model called Cloud Manufacturing(CMfg)was put forward.Then,the concept of CMfg was defined.And differences among CMfg,application service provider and manufacturing grid were discussed.CMfg architecture was also proposed,key technologies for implementing CMfg were studied and preliminary research results were introduced.Finally,an application prototype of CMfg,i.e.,COSIM-SCP,was presented.
Misreporting of Energy Intake Is Related to Specific Food Items in Low-Middle Income Chilean Adolescents

Background: Misreporting of energy intake (EI) in self-reported dietary assessment is inevitable, and even less is known about which food items are misreported by low-middle income adolescents. We evaluated the prevalence of misreporting of energy intake and its relationship with nutrients and food intake. Methods: We analyzed 24 h dietary recalls collected from 576 adolescents (52.08% boys) from southeastern Santiago. Anthropometrics measurements and information about sociodemographic characteristics were obtained during clinical visits. The method proposed by McCrory et al. was used to identify under-reporters (UnRs), over-reporters (OvRs), or plausible reporters (PRs). Food items were collapsed into 28 categories and every food item was expressed as a percentage of total EI. Logistic regression models were performed to investigate the factors associated with misreporting, and a two-part model was used to estimate the difference in the percentage of EI between UnRs versus PRs, and OvRs versus PRs in each food item. Results: Half of the participants were classified as UnRs and 9% were OvRs. UnR was higher among boys (62%) and adolescents with overweight and obesity (72%). OvR was higher among adolescents with normal weight. UnRs had a lower intake of energy from cookies/cake, chocolate/confectionery, and a higher intake of vegetables and eggs than PRs. OvRs had a higher intake of cookies/cake, chocolate/confectionery, and a lower intake of fruit, white milk, and yogurt than PRs. Conclusions: A high frequency of UnR among boys and participants with excess weight was found in this study. Healthy and unhealthy foods are reported differently between UnRs and OvRs of energy intake, indicating that bias is specific for some food items that adolescents commonly eat.
Closely related type II-C Cas9 orthologs recognize diverse PAMs

Autosomal dominant diseases can be treated by allele-specific disruption of mutant alleles. If the missense mutation generates a novel protospacer-adjacent motif (PAM), CRISPR-Cas9 can distinguish mutant alleles from wild-type alleles by a PAM-specific approach. Therefore, it is crucial to develop a CRISPR toolbox capable of recognizing multiple PAMs. Here, by using a GFP-activation assay, we tested the activities of 29 type II-C orthologs closely related to Nme1Cas9, 25 of which are active in human cells. These orthologs recognize diverse PAMs with variable length and nucleotide preference, including purine-rich, pyrimidine-rich, and mixed purine and pyrimidine PAMs. We characterized in depth the activity and specificity of Nsp2Cas9. We also generated a chimeric Cas9 nuclease that recognizes a simple N4C PAM, representing the most relaxed PAM preference for compact Cas9s to date. These Cas9 nucleases significantly enhance our ability to perform allele-specific genome editing.
An exploration of the impact of gender on customer engagement

ABSTRACT Customer engagement has emerged as a noteworthy marketing concept, as several studies have linked it to desirable performance outcomes. However, extant customer engagement research offers few insights into gender’s direct impact across different customer engagement activities. To offer a detailed perspective of these effects, we examine these gender-related differences across four aspects of customer engagement: customer purchases, customer referrals, customer influence, and customer knowledge. To increase the explanatory power of our model and better parse out effect differences across women and men, we also explore the mediating role of perceived brand fairness and the moderating role of brand identification. The findings of our survey research (n = 250) show that females, relative to males, display higher levels of customer purchases, customer influence, and customer knowledge, but not customer referrals. Also, the results reveal that perceived brand fairness mediates the impact of gender on customer engagement. Further, brand identification negatively moderates the link between gender and perceived brand fairness. The results of this study carry noteworthy theoretical implications for customer engagement literature, social identity theory, and social role theory, as well as relevant managerial implications.
Genetic guidelines for tree species and perspectives on the conservation and sustainable use of forests

ABSTRACT Forest conservation and the sustainable use of forests are important issues for biodiversity conservation, water supply, disaster prevention, recreation, carbon stock, and wood resources for human use. Reforestation for restoration, greening and laying down carbon stock on degraded land such as disaster areas and poor plantations has recently become a very active process, carried out by not only governments but also NPO and NGP groups and as a company social contribution activity (CSR) in Japan. However, when plantation materials of different origins are used, they sometimes cause a problem because they produce hybrid offspring with native individuals and then offspring cannot always adapt to the local environment. For non-experts, planting guidelines are necessary when collecting seeds for planting and determining planting sites. Genetic guidelines for seedling transfer in 43 Japanese tree species was proposed using DNA information. However, these guidelines are just the first step in achieving the conservation and sustainability of forests. Thus, to facilitate the management of healthy forests for conservation and sustainability, I propose to use the existing genetic guidelines for tree species and revise them to add further important data regarding their phenotypes and eco-physiological alterations under global climate change. In this review, I discuss how forests have established and historical human disturbance of forests in Japan, the mechanisms of formation of genetic structure within species, and the importance of genetic guidelines for planting.
A Machine Learning Method for the Forensics Attribution of Separated Plutonium

Abstract A nuclear forensics technique, based on the maximum likelihood method, for the attribution of reactor type, fuel burnup, and time since irradiation (TSI) of separated pure plutonium (Pu) samples was previously developed at Texas A&M University. The method utilized measured values of ten intra-elemental isotope ratios in the Pu sample and a large database consisting of the values for these ratios as a function of the three attributes: reactor type, fuel burnup, and TSI. However, this method failed for Pu samples with mixed attributes. Hence, a new technique based on machine learning methods was developed that matched the capabilities of the previous maximum likelihood method for pure Pu samples. This new methodology used support vector machines for reactor-type discrimination and Gaussian process regression for fuel burnup quantification. The TSI was calculated analytically using the predicted reactor type and fuel burnup. This new method holds great potential for the attribution of mixed Pu samples.
Large variations in global irrigation withdrawals caused by uncertain irrigation efficiencies

An assessment of the human impact on the global water cycle requires estimating the volume of water withdrawn for irrigated agriculture. A key parameter in this calculation is the irrigation efficiency, which corrects for the fraction of water lost between irrigation withdrawals and the crop due to management, distribution or conveyance losses. Here we show that the irrigation efficiency used in global irrigation models is flawed for it overlooks key ambiguities in partial efficiencies, irrigation technologies, the definition of ‘large-scale’ irrigated areas or managerial factors. Once accounted for, these uncertainties can make irrigation withdrawal estimates fluctuate by more than one order of magnitude at the country level. Such variability is larger and leads to more extreme values than that caused by the uncertainties related with climate change. Our results highlight the need to embrace deep uncertainties in irrigation efficiency to prevent the design of shortsighted policies at the river basin-water-agricultural interface.
From Documents to Data: A Framework for Total Corpus Quality

As large corpora of digitized text become increasingly available, researchers are rediscovering textual data’s potential fruitfulness for inquiries into social and cultural phenomena. Although textual corpora promise to enrich our knowledge of the social world, avoiding problems related to data quality remains a challenge to related empirical research. Hence, evaluating the quality of a corpus will be pivotal for future social scientific inquiries. The authors propose a conceptual framework for total corpus quality, incorporating three crucial dimensions: total corpus error, corpus comparability, and corpus reproducibility. These dimensions affect the validity and reliability of inferences drawn from textual data. In addition, the authors’ framework provides insights toward evaluating and improving studies on the basis of large-scale textual analyses. After outlining this framework, the authors then illustrate an application of the total corpus quality framework by an example case study using digitized newspaper articles to study topic salience over 75 years.