bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-world experience with CLAIRYG® 50 mg/mL (intravenous immunoglobulin) in children under 12 years with primary immunodeficiency or immmune thrombocytopenia: a post-approval safety study
Authors: Mahlaoui Nizar , Fouyssac Fanny , Mazingue Françoise , Mallebranche Coralie , Barthez-Toullec Malika , Denti Lamia , Ruhier Kalaivani , André-Bonnet Marie-Hélène , Marie-Cardine Aude , Aladjidi Nathalie , Stephan Jean-Louis
Published: October 2023

Introduction

This study presents the results of a real-life, multicenter, prospective, post-approval safety evaluation of Clairyg® 50 mg/mL, a 5% intravenous immunoglobulin (IVIg) liquid, in 59 children (aged < 12 years) with primary immunodeficiency diseases (PID) (n = 32) or immune thrombocytopenia (ITP) (n = 27) in France.

Methods

The primary objective of the study was to assess the safety and tolerability of Clairyg®, recording all serious and non-serious adverse events (AEs), whether related (rAEs) or not related to the product. Secondary objectives aimed at evaluating the administration of Clairyg® under routine conditions and the available efficacy data to better document the benefit/risk ratio in this pediatric population. An exploratory objective was added to evaluate the potential factors associated with the occurrence of rAEs. Patients received Clairyg® according to the approved dosage under normal conditions of prescriptions over a median follow-up period of 11.8 months.

Results

A total of 549 infusions (PID: n = 464 and ITP: n = 85), were administered, of which 58.8% were preceded by premedication. The most frequent rAEs were headache, vomiting, and pyrexia in both indications. Most of them were considered non-serious and mild or moderate in intensity. A severe single rAE was observed (aseptic meningitis) in a 4-year-old girl presenting with chronic ITP. The exploratory multivariate analysis of potential co-factors showed that the occurrence of rAEs is significantly linked to high IVIg doses and possibly to female gender. The annualized rate of serious bacterial infections was 0.11 for patients with PID. For patients with ITP, 74.1% experienced at least one bleeding episode during the follow-up, mostly a cutaneous one, and none had gastrointestinal, genitourinary, or central nervous system bleeding.

Conclusion

Clairyg® was well tolerated and allowed for control of serious bacterial infection in PID and serious bleeding in ITP, which are the main complications in these respective pediatric disorders. No new safety signal was detected in children less than 12 years-old in real-life conditions of use.
Bedside to bench: the outlook for psychedelic research
Authors: Acero Victor P. , Cribas Emily S. , Browne Kevin D. , Rivellini Olivia , Burrell Justin C. , O’Donnell John C. , Das Suradip , Cullen D. Kacy
Published: October 2023

There has recently been a resurgence of interest in psychedelic compounds based on studies demonstrating their potential therapeutic applications in treating post-traumatic stress disorder, substance abuse disorders, and treatment-resistant depression. Despite promising efficacy observed in some clinical trials, the full range of biological effects and mechanism(s) of action of these compounds have yet to be fully established. Indeed, most studies to date have focused on assessing the psychological mechanisms of psychedelics, often neglecting the non-psychological modes of action. However, it is important to understand that psychedelics may mediate their therapeutic effects through multi-faceted mechanisms, such as the modulation of brain network activity, neuronal plasticity, neuroendocrine function, glial cell regulation, epigenetic processes, and the gut-brain axis. This review provides a framework supporting the implementation of a multi-faceted approach, incorporating in silico, in vitro and in vivo modeling, to aid in the comprehensive understanding of the physiological effects of psychedelics and their potential for clinical application beyond the treatment of psychiatric disorders. We also provide an overview of the literature supporting the potential utility of psychedelics for the treatment of brain injury (e.g., stroke and traumatic brain injury), neurodegenerative diseases (e.g., Parkinson’s and Alzheimer’s diseases), and gut-brain axis dysfunction associated with psychiatric disorders (e.g., generalized anxiety disorder and major depressive disorder). To move the field forward, we outline advantageous experimental frameworks to explore these and other novel applications for psychedelics.
Evaluating clinical pharmacists’ involvement in postoperative acute pain services: a multicenter survey in Guangdong Province, China
Authors: Lu Junxiong , Chen Mingzhen , He Guansheng , Chen Binwei , Wang Ruolun
Published: October 2023

Objective: Postoperative pain management is an important part of surgical pharmacy. Postoperative acute pain services in China are in their initial stages. This survey aimed to investigate the attitudes, involvement, and knowledge of clinical pharmacists in China regarding postoperative acute pain services. The results can provide valuable information to guide clinical pharmacists in developing targeted strategies to improve their postoperative acute pain service capabilities.

Methods: A questionnaire was distributed to the pharmacy departments of 133 grade A tertiary hospitals in Guangdong province, and the responses were collected electronically.

Results: 123 completed questionnaires were collected from clinical pharmacists. Although 95.93% of clinical pharmacists believed they should participate in postoperative pain services, only 62.6% reported substantial involvement. Overall satisfaction with the postoperative pain service was 93.5%. Understanding of non-steroidal anti-inflammatory drugs and opioid analgesics by clinical pharmacists was comparable (p > 0.05). Furthermore, 98.37% of clinical pharmacists desired systematic learning in postoperative pain management, and 40.65% expressed a strong need.

Conclusion: Clinical pharmacists in China demonstrate a positive attitude toward participating in postoperative acute pain services. However, the actual level of involvement was concerning, and the lack of systematic training and well-established work protocols may be contributing factors. Efforts should be made to establish comprehensive and standardized processes and work protocols for postoperative acute pain services and provide systematic and hierarchical professional training to enhance clinical pharmacists’ capabilities in postoperative acute pain services.
Stenotrophomonas rhizophila Ep2.2 inhibits growth of Botrytis cinerea through the emission of volatile organic compounds, restricts leaf infection and primes defense genes
Authors: Raio Aida , Brilli Federico , Neri Luisa , Baraldi Rita , Orlando Francesca , Pugliesi Claudio , Chen Xiaoyulong , Baccelli Ivan
Published: October 2023

The bacterium Stenotrophomonas rhizophila is known to be beneficial for plants and has been frequently isolated from the rhizosphere of crops. In the present work, we isolated from the phyllosphere of an ornamental plant an epiphytic strain of S. rhizophila that we named Ep2.2 and investigated its possible application in crop protection. Compared to S. maltophilia LMG 958, a well-known plant beneficial species which behaves as opportunistic human pathogen, S. rhizophila Ep2.2 showed distinctive features, such as different motility, a generally reduced capacity to use carbon sources, a greater sensitivity to fusidic acid and potassium tellurite, and the inability to grow at the human body temperature. S. rhizophila Ep2.2 was able to inhibit in vitro growth of the plant pathogenic fungi Alternaria alternata and Botrytis cinerea through the emission of volatile compounds. Simultaneous PTR-MS and GC-MS analyses revealed the emission, by S. rhizophila Ep2.2, of volatile organic compounds (VOCs) with well-documented antifungal activity, such as furans, sulphur-containing compounds and terpenes. When sprayed on tomato leaves and plants, S. rhizophila Ep2.2 was able to restrict B. cinerea infection and to prime the expression of Pti5, GluA and PR1 plant defense genes.
A New Deep Learning-based Dynamic Paradigm Towards Open-World Plant Disease Detection
Authors: Dong Jiuqing , Fuentes Alvaro , Yoon Sook , Kim Hyongsuk , Jeong Yongchae , Park Dong Sun
Published: October 2023

Plant disease detection has made significant strides thanks to the emergence of deep learning. However, existing methods have been limited to closed-set and static learning settings, where models are trained using a specific dataset. This confinement restricts the model’s adaptability when encountering samples from unseen disease categories. Additionally, there is a challenge of knowledge degradation for these static learning settings, as the acquisition of new knowledge tends to overwrite the old when learning new categories. To overcome these limitations, this study introduces a novel paradigm for plant disease detection called open-world setting. Our approach can infer disease categories that have never been seen during the model training phase and gradually learn these unseen diseases through dynamic knowledge updates in the next training phase. Specifically, we utilize a well-trained unknown-aware region proposal network to generate pseudo-labels for unknown diseases during training and employ a class-agnostic classifier to enhance the recall rate for unknown diseases. Besides, we employ a sample replay strategy to maintain recognition ability for previously learned classes. Extensive experimental evaluation and ablation studies investigate the efficacy of our method in detecting old and unknown classes. Remarkably, our method demonstrates robust generalization ability even in cross-species disease detection experiments. Overall, this open-world and dynamically updated detection method shows promising potential to become the future paradigm for plant disease detection. We discuss open issues including classification and localization, and propose promising approaches to address them. We encourage further research in the community to tackle the crucial challenges in open-world plant disease detection. The code will be released at https://github.com/JiuqingDong/OWPDD.
To respond or not to respond: exploring empathy-related psychological and structural brain differences between placebo analgesia responders and non-responders
Authors: Hartmann Helena , Banwinkler Magdalena , Riva Federica , Lamm Claus
Published: October 2023

Introduction

Placebo responsiveness is highly variable across individuals. In the domain of pain, it may range from pronounced hypoalgesia to no response at all. Which factors predict such variation awaits clarification, as the available literature is characterized by mixed and inconclusive results. Particularly interesting in this case are social factors such as empathy or prosocial behavior, as prior work has stressed the connection between feeling pain yourself and empathizing with pain observed in others.

Methods

In a mixed confirmatory and exploratory approach, this study investigated potential psychological and structural brain differences between placebo responders and non-responders in the domain of pain. We aggregated data of four behavioral and neuroimaging studies that had been designed to investigate the effects of placebo analgesia on empathy.

Results

Analyses comparing groups of placebo responders and non-responders showed significant group differences in trait characteristics, with responders reporting increased helping behavior and lower psychopathic traits compared to non-responders. Uncorrected results further showed higher pain-related empathic concern in responders vs. non-responders. These results were accompaniedby tentative group differences in brain structure: placebo analgesia non-responders exhibited increased gray matter volume in left inferior temporal and parietal supramarginal cortical areas, and an increased cortical surface area in bilateral middle temporal cortex.

Discussion

Together, our findings suggest that modifiability of one’s pain perception by means of placebo effects is linked to personality traits characterizing social emotions and behavior. They also hint that these psychological as well as brain structural characteristics might be beneficial for the identification of placebo responders. At the same time, they stress the importance of considering contextual factors such as the study setting or paradigm when investigating the association between individual characteristics and placebo responding.
Doppler-Aided Positioning for Fused LEO Navigation Systems
Authors: Wang Weiwei , Lu Zhangjian , Tian Ye , Bian Lang , Wang Guoyong , Zhang Lixin
Published: October 2023

Fused LEO navigation systems have been proposed as a low-cost means of supplementing and backing up global navigation satellite system (GNSS) navigation services based on low-earth orbit (LEO) constellations, which means broadcasting navigation signals based on the spectrum and hardware of the currently planned communication constellation. In this paper, we introduce Doppler-aided positioning to fused LEO navigation systems, which can improve the positioning performance and availability of fused LEO navigation systems by addressing insufficient pseudorange measures caused by insufficient navigation resources or the early stages of system construction. Theoretical analysis and simulation results show that Doppler-aided positioning based on the weighted least squares (WLS) method can improve the positioning accuracy of pseudorange positioning and achieve 95% three-dimensional errors within 21 m, even if the number of pseudorange measurements is less than four. Therefore, Doppler-aided positioning can expand the application scenarios of independent navigation services for fused LEO navigation systems.
Pre-Harvest Bagging of Table Grapes Reduces Accumulations of Agrochemical Residues and Increases Fruit Quality
Authors: Luca Leonardo Paul , Scollo Francesco , Distefano Gaetano , Ferlito Filippo , Bennici Stefania , Inzirillo Ilaria , Gentile Alessandra , La Malfa Stefano , Nicolosi Elisabetta
Published: October 2023

Since ancient times, table grapes (Vitis vinifera L.) have been one of the most important fruit crops from the standpoint both of the producer (regional economics) and the consumer (healthy eating). In recent decades, much effort has been devoted to the development of this crop in order to improve fruit quality and yield; however, these advances have also entailed considerable increases in the use of agrochemicals. Unfortunately, as is now coming to light, the increased agrochemical use has had deleterious effects on the environment and has also had significant negative effects on human health and wellbeing. Our research investigates the effects of pre-harvest fruit bagging on key fruit quality traits and also on the accumulation of agrochemical residues in the fruit. Two prevalent white table grape cultivars were used, ‘Italia’ (late ripening) and ‘Vittoria’ (early ripening). They were bagged with three different materials: (1) paper, (2) parchment (a cellulose-based material), and (3) a non-woven fabric (felted polypropylene fibers). The bags were placed on grape clusters at phenological state BBCH 75 until harvest, and the bagged clusters were then compared with the unbagged control clusters. Qualitative traits and agrochemical residuals were assessed at harvest for two consecutive years, 2021 and 2022). The results show that the parchment protection bags positively affected some key fruit quality traits, with bigger and better-colored berries than the unbagged controls. Compared with the unbagged controls, all bagging treatments greatly reduced the levels of agrochemical residues, analyzed using GC-MS/MS and HPLC-MS/MS. For cv. ‘Italia’, in 2021 residues fell from 0.733 mg/kg (unbagged control) to 0.006 mg/kg (bagged), and in 2022 from 0.201 mg/kg (unbagged control) to 0.008 mg/kg (bagged); for cv. ‘Vittoria’, in 2021 residues fell from 0.201 mg/kg (unbagged control) to 0.008 mg/kg (bagged), and in 2022 from 0.077 mg/kg (unbagged control) to 0.046 mg/kg (bagged). The study shows the benefits of pre-harvest fruit bagging on grape berry quality and underscores the pivotal role bags can play in minimizing agrochemical residue accumulations on the fruit. The study marks the taking of a crucial step towards more sustainable and safer practices in the table grape production industry.
Use of Visible Spectral Index and Soybean Plant Variables to Study Hidden Nematicide Phytotoxicity
Authors: Lemes Ernane Miranda , Santos Maria Amélia dos , Coelho Lísias , Andrade Samuel Lacerda de , Oliveira Aline dos Santos , Pessoa Igor Diniz , Cunha João Paulo Arantes Rodrigues
Published: October 2023

Significant crop losses are due to plant-parasitic nematodes. Nematicides are expensive and potentially toxic to men, the environment, and plants. This study evaluated the hidden phytotoxicity effects of nematicides in soybeans. Two soybean cultivars (8473RSF and M7198IPRO) were evaluated with five nematicide treatments (biological, cadusaphos, abamectin, fluensulfone, and an untreated control) for changes in chlorophylls, biometrics, and spectral (TGI visible spectral index captured with a smartphone camera) variables to determine and anticipate the identification of plant stresses. Evaluations occurred 33, 47, and 66 days after sowing (DAS). The a/b chlorophyll proportion was greatest for M7198IPRO and cadusaphos. The chlorophyll variables did not present significant interactions or differences at 47 DAS, indicating that possible nematicide effects were transient and should be evaluated earlier than 33 DAS. Leaf area, leaf mass, and shoot mass were smaller for 8473RSF and outstanding for abamectin and fluensulfone. The response of the spectral index did not present significant interaction among the factors; however, at 33 and 47 DAS, the index was low for 8473RSF and lowest for cadusaphos only at 33 DAS. The correlations between the spectral index and other variables were significant and moderate for soybean total leaf area. Although no apparent phytotoxicity symptoms caused by nematicides were observed, the visible vegetation index generated using a smartphone camera can still improve crop management solutions.
Pesticide Safety in Greek Plant Foods from the Consumer Perspective: The Importance of Reliable Information
Authors: Simoglou Konstantinos B. , Skarpa Paraskevi El. , Roditakis Emmanouil
Published: October 2023

Greek consumers perceive an increased risk of pesticide residues in food. This study examined Greek consumers’ perceptions of the safety of Greek plant-based food compared to those from other EU countries. One-half of Greek consumers believe Greek food is as safe as other European foods, while the other half disagree. According to a principal component analysis and a bivariate logistic regression, several factors, such as the perceived safety of plant foods, education, age, gender, traceability, perceived benefits and risks of pesticides, actual pesticide use, and authoritative information sources, influence this attitude. Authoritative knowledge in this field can reduce risk perception and improve Greek consumers’ attitudes towards food safety. The latent class analysis identified two categories of consumers. The first class receives limited information about pesticides, leading to lower perceived pesticide benefits, higher mistrust of traceability, and concerns about pesticide residues. In contrast, the second class actively searches for information from credible sources, endorses the Greek plant foods safety, acknowledges the pesticide benefits, and trusts traceability. Official information is associated with reduced risk perception. Regulators should consider the impact of sociodemographic and other intrinsic characteristics on individuals’ risk perceptions and prioritise transparency in risk communication strategies.
Soil Carbon Management Index under Different Land Use Systems and Soil Types of Sanjiang Plain in Northeast China
Authors: Zhang Man , Han Jiale , Jiao Jian , Han Jianqiao , Zhao Xiaoli , Hu Kexin , Kang Yanhong , Jaffar Muhammad Tauseef , Qin Wei
Published: October 2023

Land-use systems (LUSs) and soil types (STs) are strongly related to factors that influence soil degradation and carbon (C) loss. However, the way in which land use and soil type affects the soil organic C (SOC) pools, and soil aggregation in the Sanjiang Plain, has not been thoroughly investigated. Therefore, this study aimed to investigate soil physic–ochemical properties, soil aggregates, and C management index (CMI) in three different LUSs (grassland, dryland, and paddy field) under two STs (meadow soil and albic soil) of the Sanjiang Plain in northeast China. A total of 60 composite soil samples were collected for laboratory analyses. The results were as follows: soil properties were affected by LUS and ST, especially soil chemical properties; ST had no significant effect on soil aggregates but significantly affected its SOC content, while LUS had a significant effect on soil aggregates (p < 0.01), except for small macro-aggregates (2–0.25 mm); the mean weight diameter (MWD) and SOC in meadow soil was significantly different under different land uses, with grassland being the highest and dryland the lowest. However, there was no significant difference in albic soil. The heterogeneity of grassland, dryland, and paddy field showed that different LUSs had particular effects on SOC and its active components because LUS had significant effects on C pool index (CPI) and CMI, but ST and its interaction had no significant effects on CPI and CMI. Overall, the results showed that LUS was an important factor affecting CMI in the Sanjiang Plain, rather than ST, and the paddy field CMI was optimal in the Sanjiang Plain.
Unveiling Innovations in Grasslands Productivity and Sustainability
Authors: Abdalla Mohamed
Published: October 2023

Grasslands represent a vital ecosystem, covering roughly 40 [...]
Determination of Capecitabine and Its Metabolites in Plasma of Egyptian Colorectal Cancer Patients
Authors: Shamseldin Sara , Botros Liza Samir , Salem Salem Eid , Abdel-Maksoud Sahar , Gad Mohamed Zakaria , Hanafi Rasha Sayed
Published: October 2023

The incidence of colorectal cancer (CRC) is increasing worldwide. It has variable signs and symptoms starting from changes in bowel habit to nausea and vomiting. Chemotherapeutic agents are often prescribed in CRC such as Capecitabine (CCB) and 5-Fluorouracil (FU). CCB is the prodrug of FU in oral dosage form, which makes it preferable by physicians, since no hospitalization is needed for drug administration. CCB is activated to FU in a three-step reaction producing 5′-deoxy-5-fluorocytidine (DFCR) (by carboxylesterase (CES) enzyme), then 5′-deoxy-5-fluorouridine (DFUR) (by cytidine deaminase (CDD) enzyme) and finally FU (by thymidine phosphorylase (TP) enzyme), the active form, which is later deactivated to give 5,6-dihydro-5-fluorouracil (DHFU). Different patients exhibit variable drug responses and adverse in response to CCB therapy, despite being treated by the same dose, which could be attributed to the occurrence of different possible enzyme single nucleotide polymorphisms (SNPs) along the activation and deactivation pathways of CCB. The most commonly occurring toxicities in CCB therapy are hand-foot syndrome and diarrhea. This study aims at developing and validating a new method for the simultaneous determination of CCB and its metabolites by HPLC-UV, followed by a correlation study with the toxicities occurring during therapy, where predictions of toxicity could be based on metabolites’ levels instead of the tedious process of genotyping. A new superior analytical method was optimized by a quality-by-design approach using DryLab® 2000 software achieving a baseline resolution of the six analytes within the least possible gradient time of 10 min. The method also showed linearity (in a range from 1 to 500 μg/mL), accuracy, precision and robustness upon validation: The LOD was found to be 3.0 ng/mL for DHFU and CCB, and 0.3 ng/mL for DFUR, DFCR and FU. The LOQ was found to be 10.0 ng/mL for DHFU and CCB, and 1.0 ng/mL for DFUR, DFCR and FU. The clinical results showed a positive correlation between the concentration of DFCR and mucositis and between the concentration of DFUR and hand-foot syndrome, confirming that this technique could be used for predicting such toxicities.
Effects of Breeds on the Content of Functional Nutrition in Eggs
Authors: Jiang Caiyun , Chen Ruochen , Shi Xuefeng , Zhuang Longyu , Zhou Chen , Zhou Wenbin , Li Junying , Xu Guiyun , Zheng Jiangxia
Published: October 2023

The purpose of this study was to compare the differences in the content of functional nutrients in eggs, performance parameters, and egg quality parameters of different chicken breeds. In Trial 1, 150 41-week-old hens of each breed, including the Dwarf Layer, White Leghorn, Silky fowl, Beijing-you chicken, and Shouguang chicken, were randomly assigned to the control (CON) and 2.5% flaxseed oil (FSO) groups to compare the difference in n-3 polyunsaturated fatty acid (PUFA) content in eggs. The contents of α-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and total n-3 PUFA in eggs were increased (p < 0.05) in the FSO groups. The ALA (4.28%), DHA (2.03%), and total n-3 PUFA (6.46%) contents in eggs of Dwarf Layer were the highest among the five breeds (p < 0.05). To further verify if other functional nutrients also have such differences, 600 24-week-old White Leghorn and Dwarf Layer were allocated to four groups: CON, FSO, 0.02% selenium-enriched yeast (SEY), and 0.20% marigold flower extract (MFE), in Trial 2. The content of functional nutrients in eggs was significantly increased (p < 0.05) after feeding these additions. After feeding FSO, the eggs of the Dwarf Layer had a higher n-3 PUFA content than the White Leghorn (p < 0.05). However, no significant differences were found in selenium and lutein content in different breeds. Performance and egg quality were not negatively impacted by FSO, SEY, or MFE.
UAV Assisted Livestock Distribution Monitoring and Quantification: A Low-Cost and High-Precision Solution
Authors: Ji Wenxiang , Luo Yifei , Liao Yafang , Wu Wenjun , Wei Xinyi , Yang Yudie , He Xiong Zhao , Shen Yutong , Ma Qingshan , Yi Shuhua , Sun Yi
Published: October 2023

Grazing management is one of the most widely practiced land uses globally. Quantifying the spatiotemporal distribution of livestock is critical for effective management of livestock-grassland grazing ecosystem. However, to date, there are few convincing solutions for livestock dynamic monitor and key parameters quantification under actual grazing situations. In this study, we proposed a pragmatic method for quantifying the grazing density (GD) and herding proximities (HP) based on unmanned aerial vehicles (UAVs). We further tested its feasibility at three typical household pastures on the Qinghai-Tibetan Plateau, China. We found that: (1) yak herds grazing followed a rotational grazing pattern spontaneously within the pastures, (2) Dispersion Index of yak herds varied as an M-shaped curve within one day, and it was the lowest in July and August, and (3) the average distance between the yak herd and the campsites in the cold season was significantly shorter than that in the warm season. In this study, we developed a method to characterize the dynamic GD and HP of yak herds precisely and effectively. This method is ideal for studying animal behavior and determining the correlation between the distribution of pastoral livestock and resource usability, delivering critical information for the development of grassland ecosystem and the implementation of sustainable grassland management.
Bovine C-X-C Motif Chemokine Ligand 14 Expression Is Regulated by Alternative Polyadenylation and MicroRNAs
Authors: Zhao Wei , Liu Xueyan , Li Chengping , Qin Xuyong , Ren Shizhong , Cao Shujun , Zhou Guoli
Published: October 2023

Alternative polyadenylation (APA), including APA that occurs only in the 3′ UTR (3′ UTR-APA), is an important post-transcriptional regulatory mechanism that leads to distinct 3′ UTRs for some genes, increasing the complexity of the transcriptome. The post-transcriptional events regulating the expression of bovine, the C-X-C motif chemokine ligand 14 (CXCL14) gene, remains largely unknown. Here, we find that the bovine CXCL14 gene produces two different lengths of mRNA isoforms due to 3′ UTR-APA, and the short and long 3′ UTR is 126 bp and 1155 bp, respectively. We found that the expression level of the short isoform was significantly higher than that of the long isoform by luciferase assays and overexpression of different CXCL14 3′ UTR-APA isoforms. Moreover, using luciferase assay and site-directed mutagenesis experiments, the results showed that the long CXCL14 3′ UTR-APA isoform is downregulated by miR-17-5p, miR-150, and miR-217. However, because the short isoform lacks the true target of miR-17-5p, miR-150, and miR-217 in its 3′ UTR and thus escapes the inhibitory effect of these microRNAs, its expression level is significantly higher than that of the long isoform. Finally, we demonstrate that the short CXCL14 3′ UTR-APA isoform promotes preadipocyte proliferation by cell counting kit 8 (CCK8) assays. Collectively, our results show that the CXCL14 gene is post-transcriptionally regulated through APA and microRNAs.
Oxygen Reserve Index as a Tool to Monitor Four Techniques of Oxygen Supplementation at Different Flow Rates in Dogs Sedated with Dexmedetomidine and an Opioid
Authors: Bellini Luca , De Benedictis Giulia Maria
Published: October 2023

Respiratory dysfunction often decreases arterial oxygen content. Four common oxygen delivery techniques—flow-by, nasal prongs, a tight-vented mask, and a tight mask connected to a Venturi valve—were evaluated for their effectiveness in increasing the oxygen reserve index (ORi), a dimensionless index of oxygen content that provides additional information compared to traditional pulse oximetry (SpO2) during hyperoxia (PaO2 100–200 mmHg), and that ranges from 0 to 1. Thirty-two dogs sedated with dexmedetomidine and an opioid were evenly divided into four groups based on the technique for oxygen administration. Each dog received oxygen at 1, 2, and 3 L/min by a single technique, and the amount of inhaled oxygen (FiO2) was measured at the level of the cervical trachea. At each flow rate, ORi and SpO2 were recorded. The flow-by method minimally increased the FiO2, and ORi reached its highest value only in 3 out of 8 dogs at the maximum flow rate. Other methods exhibited direct correlations between the oxygen flow rate and ORi (p < 0.001). These methods effectively increased FiO2 and ORi, with over half of the values exceeding 40% and 0.4, respectively. The tight-vented mask showed variable increases in FiO2, ranging between 22 and 90%. Despite method-dependent variations, all devices increased SpO2 > 98% as the FiO2 increased (p = 0.002). In conclusion, nasal prongs and the mask connected to the Venturi valve showed the highest correlation between the oxygen flow rate and the ORi. These results suggest that using these two techniques in conjunction with ORI can help in optimizing oxygen therapy.
Discriminant Analysis and Data Mining CHAID Decision Tree as Tools to Evaluate the Buffering Effect of Hydroxytyrosol on Reactive Oxygen Species in Rooster Sperm Cryopreservation
Authors: Díaz Ruiz Esther , González Ariza Antonio , León Jurado José Manuel , Arando Arbulu Ander , Bermúdez Oria Alejandra , Fernández Prior África , Delgado Bermejo Juan Vicente , Navas González Francisco Javier
Published: October 2023

Sperm cryopreservation is effective in safeguarding genetic biodiversity in avian species. However, during this process, spermatozoa are very susceptible to plasma membrane peroxidation in the presence of high concentrations of reactive oxygen species (ROS). To mitigate this effect, the addition of exogenous antioxidants, such as hydroxytyrosol (3,4-dihydroxyphenylethanol; HT), an antioxidant derived from olive oil, to the cryopreservation sperm diluent, could be useful. To verify this, a cryopreservation diluent was supplemented with different concentrations (0 μg/mL, 50 μg/mL, 100 μg/mL, and 150 μg/mL) of HT. For this, semen was collected in 10 replicates from 16 roosters of the Utrerana avian breed, and a pool was prepared with the optimum quality ejaculates in each replicate. After cryopreservation, spermatozoa were thawed and different in vitro semen quality parameters were evaluated. A discriminant canonical analysis (DCA) was carried out and revealed that total motility (TM; Lambda = 0.301, F = 26,173), hypo-osmotic swelling test (HOST; Lambda = 0.338, F = 22,065), and amplitude of lateral head displacement (ALH, Lambda = 0.442; F = 14,180) were the variables with the highest discriminant power. Finally, a chi-squared automatic interaction detection (CHAID) decision tree (DT) was performed excluding fresh semen samples and ROS was found to be the most valuable variable to discriminate between the different established freezing groups. Samples in the absence of HT or with low concentrations of this antioxidant showed less desirable ROS values in cryopreserved rooster semen. The present study could lead to the improvement of cryopreservation techniques for the genetic material of local poultry breeds and optimize the conservation programs of endangered native avian breeds.
Spatiotemporal Patterns of African Swine Fever in Wild Boar in the Russian Federation (2007–2022): Using Clustering Tools for Revealing High-Risk Areas
Authors: Zakharova Olga I. , Korennoy Fedor I. , Yashin Ivan V. , Burova Olga A. , Liskova Elena A. , Gladkova Nadezhda A. , Razheva Irina V. , Blokhin Andrey A.
Published: October 2023

African swine fever (ASF) is an infectious disease that affects both domestic pigs (DPs) and wild boar (WB). The WB population plays an important role in the spread of ASF as the WB acts as a natural reservoir of the virus and transmits it to other susceptible wild and domestic pigs. Our study was aimed at revealing the areas with a high concentration of the WB population, and their potential relationships with the grouping of ASF cases in WB during the course of the ASF spread in the Russian Federation (2007–2022). We collected the annual data on WB numbers by municipalities within the regions of the most intensive ASF spread. We then conducted spatiotemporal analysis to identify clustering areas of ASF cases and compare them with the territories with a high density of WB population. We found that some of the territories with elevated ASF incidence in WB demonstrated spatial and temporal coincidence with the areas with a high WB population density. We also visualized the zones (“emerging hot spots”) with a statistically significant rise in the WB population density in recent years, which may be treated as areas of paramount importance for the application of surveillance measures and WB population control.
RETRACTED: Empowering Low- and Middle-Income Countries to Combat AMR by Minimal Use of Antibiotics: A Way Forward
Authors: Kanan Mohammed , Ramadan Maali , Haif Hanan , Abdullah Bashayr , Mubarak Jawaher , Ahmad Waad , Mari Shahad , Hassan Samaher , Eid Rawan , Hasan Mohammed , Qahl Mohammed , Assiri Atheer , Sultan Munirah , Alrumaih Faisal , Alenzi Areej
Published: October 2023

Antibiotic overuse poses a critical global health concern, especially in low- and middle-income countries (LMICs) where access to quality healthcare and effective regulatory frameworks often fall short. This issue necessitates a thorough examination of the factors contributing to antibiotic overuse in LMICs, including weak healthcare infrastructure, limited access to quality services, and deficiencies in diagnostic capabilities. To address these challenges, regulatory frameworks should be implemented to restrict non-prescription sales, and accessible point-of-care diagnostic tools must be emphasized. Furthermore, the establishment of effective stewardship programs, the expanded use of vaccines, and the promotion of health systems, hygiene, and sanitation are all crucial components in combating antibiotic overuse. A comprehensive approach that involves collaboration among healthcare professionals, policymakers, researchers, and educators is essential for success. Improving healthcare infrastructure, enhancing access to quality services, and strengthening diagnostic capabilities are paramount. Equally important are education and awareness initiatives to promote responsible antibiotic use, the implementation of regulatory measures, the wider utilization of vaccines, and international cooperation to tackle the challenges of antibiotic overuse in LMICs.
Biological Characterization of Cleome felina L.f. Extracts for Phytochemical, Antimicrobial, and Hepatoprotective Activities in Wister Albino Rats
Authors: Shaikh Heena Yaqub , Niazi Shaik Kalimulla , Bepari Asmatanzeem , Cordero Mary Anne Wong , Sheereen Shazima , Hussain Syed Arif , Rudrappa Muthuraj , Nagaraja Shashiraj Kariyellappa , Agadi Shekappa Ningappa
Published: October 2023

The present study aims to explore the phytochemical constitution and biological activities of Cleome felina L.f. (Cleomaceae). C. felina (leaves, stem, and root) extracts (acetone, methanol, and water) were qualitatively assessed for phytochemical presence. Methanolic leaves extract revealed more positive phyto-compounds among all the extracts; further, methanolic leaves extract was evaluated for FTIR, EDX, GCMS, antimicrobial assay, acute toxicity, and paracetamol-induced hepatoprotective activity in Wister albino rats. FTIR and EDX analysis unveiled important functional groups and elements in the leaves. GCMS analysis of methanolic leaves extract exposed 12 active phyto-compounds: major constituents detected were 1-Butanol, 3-methyl-, formate-48.79%; 1-Decanol, 2-ethyl-13.40%; 1,6-Anhydro-β-d-talopyranose-12.49%; Ethene, 1,2-bis(methylthio)-7.22%; Decane-4.02%; 3-Methylene-7, 11-dimethyl-1-dodecene-3.085%; Amlexanox-2.50%; 1,2,3,4-Cyclopentanetetrol, (1α,2β,3β,4α)-2.07%; L-Cysteine S-sulfate-1.84%; n-Hexadecanoic acid-1.70%; and Flucarbazone-1.55%. The antimicrobial assay showed a moderate zone of inhibition against S. aureus, B. cereus, E. coli, P. aeruginosa, C. albicans, and C. glabrata at 100 µL/mL concentration. Additionally, acute toxicity revealed no behavioral sign of the toxic effect. The significant results were obtained for methanolic leaves extract (low-50 and high-100 mg/kg b.wt. dose) for hepatoprotective activity, where it dramatically reduced serum blood biochemical markers (AST, ALT, ALP, Total bilirubin, and cholesterol) and exhibited elevated hepatic antioxidant enzymes (SOD, CAT, and GSH) concentration with lipid peroxidation retardation. To conclude, C. felina methanolic leaves extract ameliorated important phytochemical compounds and showed significant antimicrobial and hepatoprotective efficacy; therefore, utilization of C. felina leaves suggested in pharmacological applications, and in numerous cosmetics, herbicides, and food industries, would be a great scope for future hepatoprotective drug designing.
Predictors of Engagement in Virtual Reality Storytelling Environments about Migration
Authors: Avila-Garzon Cecilia , Bacca-Acosta Jorge , Chaves-Rodríguez Juan
Published: October 2023

Virtual reality (VR) environments provide a high level of immersion that expands the possibilities for perspective-taking so that people can be in the shoes of others. In that regard, VR storytelling environments are good for situating people in a real migration story. Previous research has investigated how users engage in narrative VR experiences. However, there is a lack of research on the predictors of engagement in VR storytelling environments. To fill this gap in the literature, this study aims to identify the predictors of engagement when VR is used as a medium to tell a migration story. A structural model based on hypotheses was validated using partial least squares structural equation modeling (PLS-SEM) with data from the interaction of 212 university students with a tailor-made VR experience developed in Unity to engage people in two migration stories. The results show that our model explains 55.2% of the variance in engagement because of the positive influence of immersion, presence, agency, usability, and user experience (UX).
Diagnosis and Prognosis of Faults in High-Speed Aeronautical Bearings with a Collaborative Selection Incremental Deep Transfer Learning Approach
Authors: Berghout Tarek , Benbouzid Mohamed
Published: October 2023

The diagnosis and prognosis of aeronautical-bearing health conditions are essential to proactively ensuring efficient power transmission, safety, and reduced downtime. The rarity of failures in such safety-critical systems drives this process towards data-driven analytics of fault injection and aging experiments, rather than complex physics-based modeling. Nonetheless, data-based condition monitoring is very challenging due to data complexity, unavailability, and drift resulting from distortions generated by harsh operating conditions, scarcity of failure patterns, and rapid data change, respectively. Accordingly, the objective of this work is three-fold. First, to reduce data complexity and improve feature space representation, a robust data engineering scheme, including feature extraction, denoising, outlier removal, filtering, smoothing, scaling, and balancing, is introduced in this work. Second, collaborative selection-based incremental deep transfer learning (CSIDTL) is introduced to overcome the problem of the lack of patterns, incrementing the number of source domains in different training rounds. Third, long short-term memory (LSTM) adaptive learning rules are fully taken into account to combat further data complexity and data change problems. The well-structured methodology is applied on a huge dataset of aeronautical bearings dedicated to both diagnostic and prognosis studies, which perfectly addresses the above challenges in a form of a classification problem with 13 different conditions, 7 operating modes, and 3 stages of damage severity. Conducting CSIDTL following a three-fold cross-validation process allows us to improve classification performance by about 12.15% and 10.87% compared with state-of-the-art methods, reaching classification accuracy rates of 93.63% and 95.65% in diagnosis and prognosis, respectively.
Enhanced Effect of Phytoextraction on Arsenic-Contaminated Soil by Microbial Reduction
Authors: Zhao Yuxin , Cao Jian , Chen Pan
Published: October 2023

The gradually increasing presence of arsenic, a highly toxic heavy metal, poses a significant threat to both soil environmental safety and human health. Pteris vittata has long been recognized as an efficient hyperaccumulator plant for arsenic pollution. However, the pattern of arsenic accumulation in soil impacts its bioavailability and restricts the extraction efficiency of Pteris vittata. To address this issue, microorganisms have the potential to improve the arsenic accumulation efficiency of Pteris vittata. In this work, we employed anthropogenic enrichment methods to extract functional iron–sulfur-reducing bacteria from soil as a raw material. These bacteria were then utilized to assist Pteris vittata in the phytoremediation of arsenic-contaminated soil. Furthermore, the utilization of organic fertilizer produced from fermented crop straw significantly boosted the remediation effect. This led to an increase in the accumulation efficiency of arsenic by Pteris vittata by 87.56%, while simultaneously reducing the content of available arsenic in the soil by 98.36%. Finally, the experimental phenomena were studied through a soil-microbial batch leaching test and plant potting test. And the mechanism of the microorganism-catalyzed soil iron–sulfur geochemical cycle on arsenic release and transformation in soil as well as the extraction effect of Pteris vittata were systematically investigated using ICP, BCR sequential extraction and XPS analysis. The results demonstrated that using iron–sulfur-reducing microorganisms to enhance the phytoremediation effect is an effective strategy in the field of ecological restoration.
Analysis of Community Outdoor Public Spaces Based on Computer Vision Behavior Detection Algorithm
Authors: Wang Lei , He Wenqi
Published: October 2023

Community outdoor public spaces are indispensable to urban residents’ daily lives. Analyzing community outdoor public spaces from a behavioral perspective is crucial and an effective way to support human-centered development in urban areas. Traditional behavioral analysis often relies on manually collected behavioral data, which is time-consuming, labor-intensive, and lacks data breadth. With the use of sensors, the breadth of behavioral data has greatly increased, but its accuracy is still insufficient, especially in the fine-grained differentiation of populations and behaviors. Computer vision is more efficient in distinguishing populations and recognizing behaviors. However, most existing computer vision applications face some challenges. For example, behavior recognition is limited to pedestrian trajectory recognition, and there are few that recognize the diverse behaviors of crowds. In view of these gaps, this paper proposes a more efficient approach that employs computer vision tools to examine different populations and different behaviors, obtain important statistical measures of spatial behavior, taking the Bajiao Cultural Square in Beijing as a test bed. This population and behavior recognition model presents several improvement strategies: Firstly, by leveraging an attention mechanism, which emulates the human selective cognitive mechanism, it is capable of accentuating pertinent information while disregarding extraneous data, and the ResNet backbone network can be refined by integrating channel attention. This enables the amplification of critical feature channels or the suppression of irrelevant feature channels, thereby enhancing the efficacy of population and behavior recognition. Secondly, it uses public datasets and self-made data to construct the dataset required by this model to improve the robustness of the detection model in specific scenarios. This model can distinguish five types of people and six kinds of behaviors, with an identification accuracy of 83%, achieving fine-grained behavior detection for different populations. To a certain extent, it solves the problem that traditional data face of large-scale behavioral data being difficult to refine. The population and behavior recognition model was adapted and applied in conjunction with spatial typology analysis, and we can conclude that different crowds have different behavioral preferences. There is inconsistency in the use of space by different crowds, there is inconsistency between behavioral and spatial function, and behavior is concentrated over time. This provides more comprehensive and reliable decision support for fine-grained planning and design.