bluuebunny/crossref_metadata_2025 huggingface dataset:
How does social presence influence public crisis information sharing intention? Situational pressure perspective
Authors: Guo Xiaoan , Jin Hengjiang , Qi Tianzhe
Published: July 2023

Objective

Public crises seriously affect social stability and personal health. When individuals are in a public crisis environment, they will have the impulse and intention to share information, which is a behavioral attitude shown in the face of a crisis. Public crisis information sharing intention will be affected by many factors. This study aims to examine how the process of social presence may influence information sharing intentions during a public crisis and the mediating effects of situational pressure, including risk perception of disease infection and consistency of perception of opinion climate.

Methods

This was a cross-sectional study with 505 youth SNS users. In order to collect as suitable samples as possible, a research website was commissioned to conduct a questionnaire in the early stages of the COVID-19 pandemic in China. This questionnaire was utilized to measure social presence, risk perception of disease infection, consistency of perception of opinion climate and intention to share information about COVID-19. Structural equation modeling was used to examine variable relationships in the research model.

Results

The results showed that social presence was significantly and positively associated with risk perception of disease infection (B = 0.42, p < 0.001), consistency of perception of opinion climate (B = 0.43, p < 0.001) and intention to share information about COVID-19 (B = 0.48, p < 0.001). Risk perception of disease infection (B = 0.19, p < 0.001) and consistency of perception of opinion climate (B = 0.18, p = 0.002) positively predicted youth SNS users’ intention to share information about COVID-19. Risk perception of disease infection and consistency of perception of opinion climate mediated the relationship between social presence and intention to share information about COVID-19 (Z = 2.66, CI: 0.03, 0.15; Z = 2.66, CI: 0.02, 0.16).

Conclusion

The study further deepens our understanding of the mechanisms underlying social presence and information sharing intentions. These new findings suggest that some situational cues, including media environment factors (social presence) and perceived stress factors (risk perception of disease infection, consistency of perception of opinion climate) may influence information sharing intention. From the perspective of communication psychology, this study enriched the assessment of information sharing on social media and contributes to understanding of social presence and situation pressure, and it helps to provide specific references for effectively promoting netizens’ intention to share information about public crises.
Accelerating voxelwise annotation of cross-sectional imaging through AI collaborative labeling with quality assurance and bias mitigation
Authors: Dreizin David , Zhang Lei , Sarkar Nathan , Bodanapally Uttam K. , Li Guang , Hu Jiazhen , Chen Haomin , Khedr Mustafa , Khetan Udit , Campbell Peter , Unberath Mathias
Published: July 2023

Background

precision-medicine quantitative tools for cross-sectional imaging require painstaking labeling of targets that vary considerably in volume, prohibiting scaling of data annotation efforts and supervised training to large datasets for robust and generalizable clinical performance. A straight-forward time-saving strategy involves manual editing of AI-generated labels, which we call AI-collaborative labeling (AICL). Factors affecting the efficacy and utility of such an approach are unknown. Reduction in time effort is not well documented. Further, edited AI labels may be prone to automation bias.

Purpose

In this pilot, using a cohort of CTs with intracavitary hemorrhage, we evaluate both time savings and AICL label quality and propose criteria that must be met for using AICL annotations as a high-throughput, high-quality ground truth.

Methods

57 CT scans of patients with traumatic intracavitary hemorrhage were included. No participant recruited for this study had previously interpreted the scans. nnU-net models trained on small existing datasets for each feature (hemothorax/hemoperitoneum/pelvic hematoma; n = 77–253) were used in inference. Two common scenarios served as baseline comparison- de novo expert manual labeling, and expert edits of trained staff labels. Parameters included time effort and image quality graded by a blinded independent expert using a 9-point scale. The observer also attempted to discriminate AICL and expert labels in a random subset (n = 18). Data were compared with ANOVA and post-hoc paired signed rank tests with Bonferroni correction.

Results

AICL reduced time effort 2.8-fold compared to staff label editing, and 8.7-fold compared to expert labeling (corrected p < 0.0006). Mean Likert grades for AICL (8.4, SD:0.6) were significantly higher than for expert labels (7.8, SD:0.9) and edited staff labels (7.7, SD:0.8) (corrected p < 0.0006). The independent observer failed to correctly discriminate AI and human labels.

Conclusion

For our use case and annotators, AICL facilitates rapid large-scale curation of high-quality ground truth. The proposed quality control regime can be employed by other investigators prior to embarking on AICL for segmentation tasks in large datasets.
Diverse wheat lines to mitigate the effect of drought on end-use quality
Authors: Lan Yuzhou , Kuktaite Ramune , Chawade Aakash , Johansson Eva
Published: July 2023

Global climate change is causing an increasing number of drought events, which might impact the stability of wheat breadmaking quality. In this study, 73 spring wheat lines with diverse genetic backgrounds (modern, old, and wheat–rye introgression) were drought treated, and the grains were analyzed by high-performance liquid chromatography for protein composition traits related to breadmaking quality. The amount of total sodium dodecyl sulfate-extractable and -unextractable proteins (TOTE, which correlates to grain protein content) increased significantly under late drought, while no effect of early drought was found on the analyzed protein composition traits. Under control treatment, genotypes with 3R showed significantly higher TOTE than genotypes with 1R, 1RS, and 2R, indicating the potential role of 3R in increasing grain protein concentration. The lower percentage of sodium dodecyl sulfate-unextractable polymeric protein in the total polymeric protein (%UPP) found in 1R and 1RS genotypes as compared to modern and old genotypes suggested a gluten strength reduction induced by 1R and 1RS. Despite the negative yield–protein correlation found in this study, lines 252 (3R), 253 (3R), and 258 (2R) displayed the presence of germplasm with both high yield and protein concentration. The %UPP was found to be positively correlated to spike-size-related traits (grains per spike, grain weight per spike, and spike length) across all three treatments. Additionally, high and stable TOTE was mainly obtained in genotypes with 3R, while old genotypes showed dominant performance in %UPP. Thus, genes responsible for high and stable protein concentration and gluten strength should be explicitly searched among introgression lines with chromosome 3R and old Swedish cultivars, respectively.
Mapping the branching pattern of the middle cerebral artery in the camel (Camelus dromedarius): a comprehensive anatomical analysis
Authors: Al Aiyan Ahmad , Balan Rinsha
Published: July 2023

The complex branching structure of the middle cerebral artery serves as a crucial component in the blood supply to the cerebral cortex, playing a key role in sustaining brain function and overall neurological health in mammals. A thorough understanding of the branching structure of the middle cerebral artery is required for the advancement of veterinary medicine and neuroscience research. In this study, we provide the first comprehensive anatomical analysis of the branching structure of the middle cerebral artery (MCA) in the dromedary brain. To date, no study has examined the MCA branches in dromedaries. By examining 80 cerebral hemispheres from freshly slaughtered male dromedary camels aged 2–6  years, we aimed to explain the origin, course, and branching patterns of the MCA in the dromedary camel. Advanced casting techniques using colored latex, epoxy paint, and liquid plastic have been used to create precise renderings of the MCA structure. Our findings revealed that the MCA is the principal branch of the rostral cerebral artery and serves as the primary blood supply to the telencephalon in dromedaries. The main trunk of the MCA splits into several cortical branches, each supplying blood to a specific cerebral hemisphere. These branches comprise the rostral and caudal olfactory arteries; orbital artery; superior, middle, and inferior frontal arteries; rostral, middle, and caudal parietal arteries; and dorsal, middle, and ventral temporal arteries. This groundbreaking work considerably advances our understanding of the dromedary cerebrovascular system by providing insightful information on the anatomy and topography of the MCA. Our findings open new avenues for advancements in veterinary medicine and neuroscience research, with potential applications in the diagnosis and treatment of neurological disorders in dromedary camels. Furthermore, understanding the unique branching pattern of the MCA may have implications for comparative neuroanatomy and the evolution of cerebrovascular systems across species.
Human Papillomavirus and Retinoblastoma: Evidence From a Systematic Review and Meta-analysis of Cross-Sectional Studies
Authors: Feng Hong , Deng Yuan
Published: July 2023

Objectives: To study the prevalence and the association of HPV infection in retinoblastoma and to determine the most common genotype presented in RB.

Methods: Following the PRIMSA guideline, 14 studies reporting HPV infection in RB acquired from six databases were included.

Results: The prevalence of HPV from 941 RB samples was 15.6% [95% confidence interval (CI): 7.3–30]. Mexico followed by India and Brazil had the highest HPV prevalence in RB samples, 61.7% (95% CI: 17–93), 22.5% (95% CI: 9–47), and 12.1% (95% CI: 2–52), in order. HPV 16 was the most common genotype presented in RB samples 23% (95% CI: 9–47), followed by HPV 18 10% (95% CI: 3–30) and the combined HPV 16–18 6% (95% CI: 0–50). We did not find a significant association between HPV and RB [odds ratio (OR): 12.2; 95% CI: 0.65–232; p = 0.09]. However, after removing the largest-weighted study, a significant association between HPV and RB was observed (OR: 45.9; 95% CI; 8.6–245; p < 0.001).

Conclusion: HPV prevalence in RB samples was 15% and HPV 16 was the most presented genotype in RB samples. There may be an association between HPV and RB that is needed to be confirmed by high quality future studies. Preventive and treatment measures against HPV infection are essential for the prevention of any possible consequences, in particular, RB.
Experimental Study on the Influence of Working Parameters of Centrifugal Fan on Airflow Field in Cleaning Room
Authors: Zhang Ce , Geng Duanyang , Xu Haigang , Li Xinao , Ming Jiarui , Li Duanxin , Wang Qihuan
Published: July 2023

The air distribution and speed uniformity of the cleaning fan in the cleaning room have a great influence on the working quality of the cleaning system of the harvester. In view of the problem of uneven air distribution in the cleaning room caused by improper adjustment of the main operating parameters of the cleaning fan in the cleaning device of the corn combine harvester, this paper takes the self-developed air screen cleaning test bench as the object. The main working parameters of the cleaning centrifugal fan (air supply distance, fan speed, and number of blades) were simulated and the Fluent simulation software was used to carry out the single-factor and multi-factor optimization tests, explore the influence law of each test factor on the air velocity in front of the screen, in the middle and behind the screen and the deviation degree of the airflow at the back of the screen surface, and find the optimal parameter combination. The data were systematically analyzed by multiple regression method and variance analysis method. The regression model of air velocity at the front, middle, and back of the screen and the air deviation degree at the back of the screen surface for the three working parameters of the cleaning fan were established. The optimal working parameter combination was obtained, that is, when the air supply distance is 580 mm, the fan speed is 1000 r/min, and the number of blades is 10, the airflow velocity in front of the screen is 10.8 m/s, the airflow velocity in the middle of the screen surface is 11.8 m/s, the airflow velocity at the back of the screen surface is 11.2 m/s, and the airflow deviation degree at the back of the screen surface is 13.5%. The relative errors were 1.9%, 0, 2.8%, and 3.0%, respectively. A combined test of the fan and the cleaning screen body with a feeding capacity of 8 kg/s was carried out, and the loss rate was 1.15% and the impurities rate was 1.24%. The regression model was reliable, and the optimal operation parameter combination performed well, meeting the technical requirements of cleaning operation, and providing theoretical guidance for the adjustment of fan structure and operation parameters in the cleaning system of the grain harvester.
Study on the Livelihood Capital Level, Structural Characteristics, and Coupling Coordination Degree of Chinese Beef Cattle Farmers
Authors: Li Xujun , Wang Mingli
Published: July 2023

An important foundation of a strong agricultural country is the virtuous cycle of the agricultural production system, and the beef cattle industry is the pivotal industry that guarantees the virtuous cycle of China’s agricultural production system. Farmers are the main force of beef cattle breeding in China, and livelihood capital is an important basis for influencing farmers’ breeding decisions. The measurement and evaluation of the livelihood capital of beef cattle farmers in China can help to comprehensively grasp the current level and structural characteristics of the livelihood capital of beef cattle farmers in China. In this study, the entropy value method and Delphi method were used to determine the weights of each evaluation index, and on this basis, the level, structure, and coupling coordination of farmers’ livelihood capital were measured and classified. The study shows that the overall level of livelihood capital of beef cattle farmers is low; the level and structure of livelihood capital show an uneven phenomenon, and the level of livelihood capital of farmers in different regions and different modes differ significantly. The coupling coordination degree among various measurements of livelihood capital of beef cattle farmers in China is also low, which indicates that a good coordination relationship between various types of livelihood capital has not been formed, which may affect the efficiency of resource allocation. It is suggested to improve the livelihood capital level and coupling coordination among beef cattle farmers and improve the livelihood capital structure of farmers by innovating financial tools, developing forage resources, strengthening technical training and extension, and improving policy support for the beef cattle industry.
Correction: Gorris et al. Detection and Diagnosis of Xylella fastidiosa by Specific Monoclonal Antibodies. Agronomy 2021, 11, 48
Authors: Gorris María Teresa , Sanz Antonio , Peñalver Javier , López María M. , Colomer Mario , Marco-Noales Ester
Published: July 2023

In the original publication [...]
Reduced Nitrogen Input Combined with Nitrogen-Saving japonica Rice Varieties Balances Yield and Nitrogen Use Efficiency in The Lower Reaches of the Yangtze River in China
Authors: Zhang Xiaoxiang , Zhang Honggen , Wang Zi , Gao Yingbo , Liu Xin , Shu Xiaowei , Chen Yueqi , Xiao Ning , Pan Cunhong , Zhou Juan , Ji Chunming , Dong Guichun , Huang Niansheng , Huang Jianye , Li Aihong , Yao Youli
Published: July 2023

Maintaining rice yield and reducing nitrogen (N) input are two important targets in sustainable agriculture practices. The adoption of a nitrogen-saving variety (NSV) provides a unique opportunity to achieve this. However, limited options in NSV japonica rice and a lack of information on their responses to N reduction make management decisions difficult. This study aims to explore the responses of yield and nitrogen use efficiency (NUE) in NSV to N reduction. Two newly released NSVs and two popular general varieties (GVs) of japonica rice were field tested in Yangzhou, located at the lower reaches of Yangtze River of China, in two consecutive years. The results showed that for NSVs, with a 40–60% reduction in common practice N rate (300 Kg ha−1), the rice yield could maintain a record average level (p < 0.05), whereas the yield for the GV would drop 20–30% (p < 0.05). This indicates that combining the practices of adoption of NSV and N reduction to 120–180 Kg N ha−1 could balance the yield and N consumption. Moderate N reduction promotes the N accumulation and NUE, and it increases the number of tillers, the productive tiller percentage and the total amount of spikelets in the population, and increases the carbon and N metabolism of the population in the NSV. Compared with GV, NSV showed higher NUE and non-structural carbohydrate re-mobilization in the reduced N rate. The results showed that the practice of N reduction has to adopt NSV at the same time in order to maintain the grain yield level in rice.
Transcriptomic Insights into the Development of Olecranon Honey Peach Fruits Using Two Different Planting Methods
Authors: Qiu Yuanxin , Zhang Zexiong , Liu Dongjie , Liu Jianliang , Wang Qin , Yu Qian , Zhong Le , Xie Hongfeng
Published: July 2023

The olecranon honey peach is China’s national geographic identification product because of its crisp texture and high sweetness. In recent years, new field management practices have been developed. In this study, fruits (‘SJH’) grown through new planting methods, i.e., black bags combined with bio-organic fermentation fertilizer, were compared with those (‘SBY’) grown by conventional planting methods, i.e., using a chemical fertilizer without bagging, to determine their effects on improving fruit quality. At maturity, the ‘SJH’ was significantly higher than ‘SBY’ in terms of weight, hardness, and sugar content by 14.43%, 19.55% and 9.66%, respectively. RNA sequencing (RNA-seq) technology analysis was performed on ‘SJH’ and ‘SBY’ to identify the main regulatory pathways involved in fruit development, especially focusing on cell-wall biogenesis and sugar metabolism. We identified a total of 1660 differentially expressed genes (DEGs) in ‘SJH’ and 5673 genes in ‘SBY’ throughout the development. A clustering analysis of DEGs revealed that the expression patterns of key genes involved in cell-wall biogenesis and sugar metabolism pathways in ‘SJH’ differed from those in ‘SBY’, such as cellulose synthase-like protein D (CS-LPD), sucrose-phosphate synthase (SPS) and sucrose synthase (SUS). The new cultivation technology promoted soluble sugar accumulation and cell-wall synthesis through molecular regulation, which improved the sweetness and sensory quality of the fruit. These findings contribute towards to the development of novel ideas for the better cultivation of peaches and provide a deeper investigation into the molecular mechanism of their development.
Sows’ Responses to Piglets in Distress: An Experimental Investigation in a Natural Setting
Authors: Collarini Edoardo , Capponcelli Luca , Pierdomenico Andrea , Norscia Ivan , Cordoni Giada
Published: July 2023

Domestic pigs (Sus scrofa) possess complex socio-cognitive skills, and sows show high inter-individual variability in maternal behaviour. To evaluate how females—reared under natural conditions—react to the isolation calls of their own piglets or those of other females, we conducted observations and experimental trials. In January–February 2021, we conducted all-occurrences sampling on affiliation, aggression, and lactation (daily, 7:30–16:30 h) on six lactating and four non-lactating females at the ethical farm Parva Domus (Turin, Italy). The trials (30 s each, n = 37/sow) consisted of briefly catching and restraining a piglet. We recorded the sow response (none/reactive/proactive movement towards the piglet; self-directed anxiety behaviours such as body shaking) before and during the trial and under control conditions. Increased levels of anxiety behaviour in sows were accompanied by an increased frequency of responses. Less aggressive sows and lactating sows showed the highest frequencies of response. Finally, the isolation calls’ maximum intensity had an influence on the type of response observed, with higher proactive response frequencies following lower intensity isolation calls. Our results suggest that being under lactation could play a key role in increasing sow response levels and that specific acoustic features may influence the response.
Rye and Rye Bran as Components of Diets in Piglet Production—Effects on Salmonella Prevalence
Authors: Homann Christian , Eckey Isabell , Chuppava Bussarakam , Teich Klaus , Buch Juhle , Zimmermann Andreas , Kaltschmitt Martin , Grone Richard , Wilke Volker , Visscher Christian
Published: July 2023

The nutritional benefits of rye (and therefore rye bran) are mainly due to its high content of fermentable dietary fiber, the non-starch polysaccharides (NSP). Microorganisms in the large intestine are able to convert these into short-chain fatty acids (SCFA), including butyrate. Butyrate strengthens the epithelial barrier function in the colon by nourishing the enterocytes and inhibiting the spread of Salmonella in the intestinal tract. Therefore, the aim of this study was to test under field conditions whether a diet with rye or rye bran as the main ingredient for gilts, sows, and weaned piglets is associated with a lower Salmonella prevalence. Depending on the age groups, between 20–30% rye or between 15–20% rye bran was used in the experimental group. A total of n = 1983 boot swabs, n = 356 fecal samples, and n = 1909 serum samples were examined. The results of this study show that rye or rye bran at the levels used had no apparent effect on the number of positive Salmonella samples. However, the Salmonella OD values in the experimental groups were significantly lower than in the control group. This suggests that the use of rye leads to a lower incidence of infection, but this effect could not be proven from swabs.
Comparative Label-Free Liquid Chromatography–Mass Spectrometry Milk Proteomic Profiles Highlight Putative Differences between the Autochthon Teramana and Saanen Goat Breeds
Authors: Di Luca Alessio , Bennato Francesca , Ianni Andrea , Grotta Lisa , Henry Michael , Meleady Paula , Martino Giuseppe
Published: July 2023

Goat’s milk is an excellent source of nutrients, with greater benefits compared to cow’s milk. Limited information is available on autochthon goat breeds, which are important for biodiversity preservation. In this study, the aim of using label-free quantification was to investigate the milk proteome of two goat breeds, the autochthon Teramana and Saanen breeds, which are commonly used by the industry. Utilising label-free proteomic analysis, 749 and 666 proteins, respectively were identified and quantified from the Teramana and Saanen goat milk. Moreover, utilising statistical analysis, 29 proteins were able to discriminate the two goat breeds, with many of the identified proteins involved in complement and coagulation cascades. This work enhances our understanding of the goat milk proteome and shows differences between the two breeds, leading to an important contribution toward a more detailed molecular-view of this unique substrate. Additionally, charactersation of the milk proteins can help in guiding genetic improvements in the goat herds, and thus increasing its use in human nutrition.
Emergency Animal Boarding: A Social Return on Investment
Authors: Ma Gemma C. , Ravulo Jioji , McGeown Ursula
Published: July 2023

Companion animals play a central role in many families and are especially valued by those who are socially isolated. Crisis situations such as acute hospitalizations, homelessness, and natural disasters can make it difficult to preserve the human–animal bond and can result in animals being surrendered or euthanized. Social support programs like the RSPCA NSW Emergency Boarding and Homelessness program support people experiencing crisis situations with emergency pet boarding, access to veterinary treatment and individualized case management. This study aimed to estimate the social return on investment (SROI) for this program using the standard SROI methodology. In-depth interviews were conducted with 13 program stakeholders and questionnaire responses were received from 29 program clients. Outcomes were quantified for four stakeholder groups: program clients, client’s animals, RSPCA Inspectors, animal pounds, and shelters. Clients and their animals experienced the bulk of the benefit from the program, estimated to have a combined value of over AUD 5 million for the 2020–2021 financial year. The estimated social return on investment was AUD 8.21 for each AUD 1 invested. The study demonstrates that keeping people together with their companion animals or ensuring they are reunited as soon as possible can reduce stressors and improve outcomes for people and animals.
Functional Additives in a Selected European Sea Bass (Dicentrarchus labrax) Genotype: Effects on the Stress Response and Gill Antioxidant Response to Hydrogen Peroxide (H2O2) Treatment
Authors: Serradell Antonio , Montero Daniel , Terova Genciana , Rimoldi Simona , Makol Alex , Acosta Félix , Bajek Aline , Haffray Pierrick , Allal François , Torrecillas Silvia
Published: July 2023

Functional ingredients have profiled as suitable candidates for reinforcing the fish antioxidant response and stress tolerance. In addition, selective breeding strategies have also demonstrated a correlation between fish growth performance and susceptibility to stressful culture conditions as a key component in species domestication processes. The aim of the present study is to evaluate the ability of a selected high-growth genotype of 300 days post-hatch European sea bass (Dicentrarchus labrax) juveniles to use different functional additives as endogenous antioxidant capacity and stress resistance boosters when supplemented in low fish meal (FM) and fish oil (FO) diets. Three isoenergetic and isonitrogenous diets (10% FM/6% FO) were supplemented with 200 ppm of a blend of garlic and Labiatae plant oils (PHYTO0.02), 1000 ppm of a mixture of citrus flavonoids and Asteraceae and Labiatae plant essential oils (PHYTO0.1) or 5000 ppm of galactomannan-oligosaccharides (GMOS0.5). A reference diet was void of supplementation. The fish were fed the experimental diets for 72 days and subjected to a H2O2 exposure oxidative stress challenge. The fish stress response was evaluated through measuring the circulating plasma cortisol levels and the fish gill antioxidant response by the relative gene expression analysis of nfΚβ2, il-1b, hif-1a, nd5, cyb, cox, sod, cat, gpx, tnf-1α and caspase 9. After the oxidative stress challenge, the genotype origin determined the capacity of the recovery of basal cortisol levels after an acute stress response, presenting GS fish with a better pattern of recovery. All functional diets induced a significant upregulation of cat gill gene expression levels compared to fish fed the control diet, regardless of the fish genotype. Altogether, suggesting an increased capacity of the growth selected European sea bass genotype to cope with the potential negative side-effects associated to an H2O2 bath exposure.
De-Selection Bias Recommendation Algorithm Based on Propensity Score Estimation
Authors: Ma Teng , Yu Su
Published: July 2023

There are various biases present in recommendation systems, and recommendation results that do not consider these biases are unfair to users, items, and platforms. To address the problem of selection bias in recommendation systems, in this study, the propensity score was utilized to mitigate this bias. A selection bias propensity score estimation method (SPE) was developed, which takes into account both user and item information. This method accurately estimates the user’s choice tendency by calculating the degree of difference between the user’s selection rate and the selected preference of the item. Subsequently, the SPE method was combined with the traditional matrix decomposition-based recommendation algorithms, such as the latent semantic model (LFM) and the bias singular value model (BiasSVD). The propensity score was then inversely weighted into the loss function, creating a recommendation model that effectively eliminated selection bias. The experiments were carried out on the public dataset MovieLens, and root mean square error (RMSE) and mean absolute error (MAE) were selected as evaluation indicators and compared with two baseline models and three models with other propensity score estimation methods. Overall, the experimental results demonstrate that the model combined with SPE achieves a minimum increase of 2.00% in RMSE and 2.97% in MAE compared to its baseline model. Moreover, in comparison to other propensity score estimation methods, the SPE method effectively eliminates selection bias in the scoring data, thereby enhancing the performance of the recommendation model.
The Effect of Resveratrol and Static Magnetic Field Interactions on the Oxidation–Reduction Parameters of Melanoma Malignant Cells
Authors: Synowiec-Wojtarowicz Agnieszka , Krawczyk Agata , Kimsa-Dudek Magdalena
Published: July 2023

Background: Scientific research has confirmed the biological activity of resveratrol, which includes its antioxidant, anti-inflammatory, cardioprotective and anticancer properties. There is no known interaction between a static magnetic field and resveratrol that can modulate resveratrol’s effect on cells. Thus, the main aim of our research was to assess the effect of the co-exposure to resveratrol and a static magnetic field on the oxidation–reduction homeostasis of C32 and Colo829 melanoma cells. Methods: The studies consisted of determining the activity of the antioxidant enzymes that constitute the body’s first line of defense—SOD, GPx and CAT—and determining the lipid peroxidation product—MDA—and the value of the total antioxidant status of melanoma cells. Results and conclusions: Resveratrol was shown to exhibit anticancer properties, possibly through the ferroptosis of melanoma cells. A static magnetic field was also found to abolish the anticancer properties of resveratrol and to have a protective effect against melanoma cells by restoring the redox balance in the cells.
A CP-ABE Scheme Based on Lattice LWE and Its Security Analysis
Authors: Yao Yunfei , Chen Huiyan , Shen Linzhi , Wang Ke , Wang Qingnan
Published: July 2023

In recent years, the research on ciphertext-policy attribute-based encryption (CP-ABE) scheme design based on learning with errors (LWE) has been a challenging problem, and many researchers have made a lot of attempts at it. At EUROCRYPT 2021, Datta, Komargodski, and Waters proposed the first provably secure direct CP-ABE construction that supports NC1 circuit access structures. Improving on their work, we propose a CP-ABE scheme. Technically, we use the new lattice two-stage sampling technique of Lai, Liu, and Wang (EUROCRYPT 2021) in the key generation phase instead of the extended trapdoor sampling technique. In this way, we obtain a CP-ABE scheme, which is at least as secure as the original scheme under the same conditions, and has a shorter ciphertext; we provide an innovative design idea for designing CP-ABE schemes only based on LWE, although this is only a partial theoretical work.
Bee Honey Extract Attenuates Hyperglycemia in Induced Type 1 Diabetes: Impact of Antioxidant and Angiogenesis Activities on Diabetic Severity In Vivo
Authors: Alghamdi Ahmed H. , Shatla Ibrahim M. , Shreed Soliman , Khirelsied Atif H. , El-Refaei Mohamed F.
Published: July 2023

Background: Diabetes mellitus (DM) has become a disease prevalent worldwide. Honey, which comprises predominantly bioactive constituents, has anti-inflammatory, antioxidant, and immunomodulating properties. Aim: Recent developments and benefits of natural products in treating various diseases have caught the attention of researchers. This study aims to investigate the antidiabetic effect of bee honey extract on induced diabetic Swiss mice. Materials and Methods: Fifty Swiss male mice were randomly assigned to five groups of 10 mice each. Group I served as the negative control; in group II, the mice received 2 mg/kg/b.wt of honey extract only; and groups III, IV, and V received cyclosporine (CsA) (20 mg/kg/day, s.c.) daily for 10 days prior to receiving streptozotocin (STZ) inoculated at multiple low doses (MLDSTZ) (30 mg/kg/day, i.p.) for five consecutive days. Group IV was administered with insulin initiated at a dose of 0.5 U/kg/b.wt as a standard treatment (positive control). Group V was administered 2 mg/kg/b.wt of honey extract, while group III received no treatment. Results: The results showed a significant hypoglycemic effect, increased body weight, increased liver glycogen levels, and the amelioration of antioxidant activities in groups IV and V compared with the diabetic group III. Moreover, serum matrix metalloproteinase (MMP-9) concentrations were significantly reduced in the mice treated with the insulin and honey extract in groups IV and V and the tissue inhibitor metalloproteinase-1 (TIMP-1) levels were significantly higher than the serum levels in group III. Furthermore, the histopathological examination of groups IV and V revealed regenerative changes with the restoration of normal islet cell architecture, as compared to the diabetic mice in group III. Compared to group I, group II showed no changes and exhibited non-significant data. Conclusion: Honey extract plays an effective role in improving all biomarkers in treated group V. Furthermore, MMP-9 and TIMP-1 are considered prognostic markers in the progression, severity, diagnosis, and treatment of type 1 DM. This may play an important role for the treatment of individuals in the future.
Optimal Design and Analysis of Nonlinear Tuned Mass Damper System
Authors: Yao Ji , Liu Junfeng , Hu Yujun , Zhang Qing
Published: July 2023

The tuned mass damper (TMD), as a representative passive control device, has been widely used in various fields such as mechanical vibration and civil engineering. In practical engineering applications, nonlinear characteristics of the TMD inevitably occur due to the installation of limiting devices or large displacements. Neglecting such nonlinearity may adversely affect the control performance of the TMD. Based on this situation, the parameters of the nonlinear tuned mass damper (NTMD) were analyzed, considering the linear and cubic nonlinear stiffness of the TMD, in order to improve its control performance. In this paper, a numerical model of a single-degree-of-freedom controlled structure using an NTMD was established, and the complex variable averaging method was employed to derive the response expression of the structure under the 1:1 resonance condition. Subsequently, the nonlinear design equation for the NTMD frequency was obtained. Based on this nonlinear design formula, the design accuracy was analyzed under 1:1 resonance, undamped and softened stiffness conditions. The results indicate that the NTMD based on a nonlinear design exhibits good control performance.
Effect of Immobilized Pediococcus acidilactici ORE5 Cells on Pistachio Nuts on the Functional Regulation of the Novel Katiki Domokou-Type Cheese Microbiome
Authors: Pavlatou Chrysoula , Nikolaou Anastasios , Prapa Ioanna , Tegopoulos Konstantinos , Plesssas Stavros , Grigoriou Maria E. , Bezirtzoglou Eugenia , Kourkoutas Yiannis
Published: July 2023

Nowadays, functional foods supplemented with health-promoting microorganisms have attracted consumer attention due to their health benefits. However, maintaining high cell loads, which consist of an essential requirement for conferring the health effect, is a real bottleneck for the food industry due to viability declines during food processing and storage. Hence, freeze-drying and cell immobilization have been suggested to enhance cell viability. The aim of our study was to assess the effect of freeze-dried immobilized P. acidilactici ORE5 on pistachio nuts on the functional regulation of the Katiki Domokou-type cheese microbiome. Supplementation of Katiki Domokou-type cheese with free or immobilized P. acidilactici ORE5 culture resulted in cell loads > 8.5 logcfu/g up to 7 days of storage. Both free and immobilized P. acidilactici ORE5 cells suppressed the growth of L. monocytogenes after deliberate inoculation, acting as a protecting shield. HS-SPME GC/MS analysis showed that the incorporation of P. acidilactici ORE5 culture in cheese resulted in an improved volatile compounds profile, as verified by the preliminary sensory evaluation. According to Next-Generation Sequencing analysis, a wide range of bacterial diversity was revealed among samples. The most abundant genus was Lactococcus in all samples, while the results showed an increased presence of Pediococcus spp. in cheese fortified with P. acidilactici ORE5 culture, highlighting the ability of the strain to survive in the final product. Furthermore, the incorporation of P. acidilactici ORE5 culture in cheese had a significant impact on cheese microbiome composition, as the presence of spoilage bacteria, such as Chryseobacterium, Acinetobacter and Pseudomonas, was significantly less compared to the control cheese, indicating quality improvement and prolongation of the product’s shelf-life.
Systematic Literature Review on Security Access Control Policies and Techniques Based on Privacy Requirements in a BYOD Environment: State of the Art and Future Directions
Authors: Ayedh M Aljuaid Turkea , Wahab Ainuddin Wahid Abdul , Idris Mohd Yamani Idna
Published: July 2023

The number of devices connected within organisational networks through ”Bring Your Own Device” (BYOD) initiatives has steadily increased. BYOD security risks have resulted in significant privacy and security issues impacting organisational security. Many researchers have reviewed security and privacy issues in BYOD policies. However, not all of them have fully investigated security and privacy requirements. In addition to describing a system’s capabilities and functions, these requirements also reflect the system’s ability to eliminate various threats. This paper aims to conduct a comprehensive review of privacy and security criteria in BYOD security policies, as well as the various technical policy methods used to mitigate these threats, to identify future research opportunities. This study reviews existing research and highlights the following points: (1) classification of privacy and security requirements in the context of BYOD policies; (2) comprehensive analyses of proposed state-of-the-art security policy technologies based on three layers of security BYOD policies, followed by analyses of these technologies in terms of the privacy requirements they satisfy; (3) technological trends; (4) measures employed to assess the efficacy of techniques to enhance privacy and security; and (5) future research in the area of BYOD security and privacy.
A Similarity Model of Specific Heat Loss Determined by Dimensional Analysis
Authors: Čarnogurská Mária , Příhoda Miroslav , Lázár Marián , Jasminská Natália , Brestovič Tomáš , Puškár Michal
Published: July 2023

This article describes an innovative method for the determination of heat flow (specific heat loss; linear heat flow density) from a one-metre length of a twin pipe directly-buried heat network. Such heat losses are currently described by applying analytical procedures based on the heat transfer theory. It is rather complicated to accurately express the heat loss using such procedures, due to the necessity to determine the individual values of thermal resistance. A simpler method to express heat loss is the balance method, as it requires measuring a temperature gradient Δt between the starting point of the heat network and the end point of the heat collection. A suitable measuring device must provide high-accuracy measurements of the temperature. In the case of very well-insulated distribution pipelines and short pipes, the temperature measurements must be accurate to the hundredths of a degree Celsius. It is impossible to install such devices as fixed equipment on every heat distribution network, due to such networks measuring many kilometres and the cost of the appropriate measuring technology. For the aforesaid reasons, the authors created a mathematical model for specific heat losses based on dimensional analysis. This method facilitates the identification of dimensionless criteria based on the relevant dimensional quantities. Functional correlations between the identified criteria may be identified on the basis of the results of physical or numerical experiments. In this study, a database of the results obtained from physical experiments conducted on two heat networks was used. The output of the similarity model was a function describing the heat flow from a one-meter pipe length that was applicable to various alternatives in relation to the geometrical, physical and boundary conditions. The standard deviation of a difference in the heat losses identified by applying the balance method and using the proposed criterial equation for a twin pipe directly-buried pre-insulated heat network was 0.515 W·m−1.
A Systematic Literature Review and a Conceptual Framework Proposition for Advanced Persistent Threats (APT) Detection for Mobile Devices Using Artificial Intelligence Techniques
Authors: Al-Kadhimi Amjed Ahmed , Singh Manmeet Mahinderjit , Khalid Mohd Nor Akmal
Published: July 2023

Advanced persistent threat (APT) refers to a specific form of targeted attack used by a well-organized and skilled adversary to remain undetected while systematically and continuously exfiltrating sensitive data. Various APT attack vectors exist, including social engineering techniques such as spear phishing, watering holes, SQL injection, and application repackaging. Various sensors and services are essential for a smartphone to assist in user behavior that involves sensitive information. Resultantly, smartphones have become the main target of APT attacks. Due to the vulnerability of smartphone sensors, several challenges have emerged, including the inadequacy of current methods for detecting APTs. Nevertheless, several existing APT solutions, strategies, and implementations have failed to provide comprehensive solutions. Detecting APT attacks remains challenging due to the lack of attention given to human behavioral factors contributing to APTs, the ambiguity of APT attack trails, and the absence of a clear attack fingerprint. In addition, there is a lack of studies using game theory or fuzzy logic as an artificial intelligence (AI) strategy for detecting APT attacks on smartphone sensors, besides the limited understanding of the attack that may be employed due to the complex nature of APT attacks. Accordingly, this study aimed to deliver a systematic review to report on the extant research concerning APT detection for mobile sensors, applications, and user behavior. The study presents an overview of works performed between 2012 and 2023. In total, 1351 papers were reviewed during the primary search. Subsequently, these papers were processed according to their titles, abstracts, and contents. The resulting papers were selected to address the research questions. A conceptual framework is proposed to incorporate the situational awareness model in line with adopting game theory as an AI technique used to generate APT-based tactics, techniques, and procedures (TTPs) and normal TTPs and cognitive decision making. This framework enhances security awareness and facilitates the detection of APT attacks on smartphone sensors, applications, and user behavior. It supports researchers in exploring the most significant papers on APTs related to mobile sensors, services, applications, and detection techniques using AI.
Spiking Neural P Systems with Rules Dynamic Generation and Removal
Authors: Shen Yongshun , Zhao Yuzhen
Published: July 2023

Spiking neural P systems (SNP systems), as computational models abstracted by the biological nervous system, have been a major research topic in biological computing. In conventional SNP systems, the rules in a neuron remain unchanged during the computation. In the biological nervous system, however, the biochemical reactions in a neuron are also influenced by factors such as the substances contained in it. Based on this motivation, this paper proposes SNP systems with rules dynamic generation and removal (RDGRSNP systems). In RDGRSNP systems, the application of rules leads to changes of the substances in neurons, which leads to changes of the rules in neurons. The Turing universality of RDGRSNP systems is demonstrated as a number-generating device and a number-accepting device, respectively. Finally, a small universal RDGRSNP system for function computation using 68 neurons is given. It is demonstrated that the variant we proposed requires fewer neurons by comparing it with five variants of SNP systems.
Suitability Evaluation of Old Industrial Buildings Transformed into Stadiums
Authors: Jia Lixin , Sun Cheng , Lv Wenhao , Li Wenlong
Published: July 2023

The regeneration and utilization of idle, old industrial buildings in urban areas has become a focus of urban development, owing to urban renewal and industrial structural adjustment. At the same time, the increasing demand for sports space has highlighted the insufficient supply of sports facilities in cities. To solve this dilemma, the transformation of old industrial buildings into sports venues has become another mode of recycling and reuse in recent years. Due to the many specialties, complex contents, and numerous influencing factors involved in the transformation process, the suitability of these buildings is uncertain. To ensure the suitability of the transformation project, the theory of old industrial buildings recycling and sports building design specifications was used. An index system was established for the evaluating the suitability of transforming old industrial buildings into stadiums, which included five first-level and twenty second-level indices. Based on the matter–element extension theory, a suitability evaluation model was constructed to transform old industrial buildings into sports venues. The correlation function of each evaluation index was calculated, and the index weight was determined using the entropy weight method to obtain the suitability grade of the renovation project, which was verified by the renovation project case. The research shows that the suitability level of the renovation project is level II, which is consistent with the actual situation, indicating that the evaluation model—based on entropy weight method and matter–element extension method—for the transformation of old industrial buildings and stadiums has high reliability.