bluuebunny/crossref_metadata_2025 huggingface dataset:
Genome-wide analysis of transposable elements and satellite DNA in Humulus scandens, a dioecious plant with XX/XY1Y2 chromosomes
Authors: Zhang Guo-Jun , Jia Ke-Li , Wang Jin , Gao Wu-Jun , Li Shu-Fen
Published: October 2023

Transposable elements (TEs) and satellite DNAs, two major categories of repetitive sequences, are expected to accumulate in non-recombining genome regions, including sex-linked regions, and contribute to sex chromosome evolution. The dioecious plant, Humulus scandens, can be used for studying the evolution of the XX/XY1Y2 sex chromosomes. In this study, we thoroughly examined the repetitive components of male and female H. scandens using next-generation sequencing data followed by bioinformatics analysis and florescence in situ hybridization (FISH). The H. scandens genome has a high overall repetitive sequence composition, 68.30% in the female and 66.78% in the male genome, with abundant long terminal repeat (LTR) retrotransposons (RTs), including more Ty3/Gypsy than Ty1/Copia elements, particularly two Ty3/Gypsy lineages, Tekay and Retand. Most LTR-RT lineages were found dispersed across the chromosomes, though CRM and Athila elements were predominately found within the centromeres and the pericentromeric regions. The Athila elements also showed clearly higher FISH signal intensities in the Y1 and Y2 chromosomes than in the X or autosomes. Three novel satellite DNAs were specifically distributed in the centromeric and/or telomeric regions, with markedly different distributions on the X, Y1, and Y2 chromosomes. Combined with FISH using satellite DNAs to stain chromosomes during meiotic diakinesis, we determined the synapsis pattern and distinguish pseudoautosomal regions (PARs). The results indicate that the XY1Y2 sex chromosomes of H. scandens might have originated from a centric fission event. This study improves our understanding of the repetitive sequence organization of H. scandens genome and provides a basis for further analysis of their chromosome evolution process.
Expression of sucrose metabolizing enzymes in different sugarcane varieties under progressive heat stress
Authors: Mehdi Faisal , Liu Xinlong , Riaz Zunaira , Javed Urooj , Aman Afsheen , Galani Saddia
Published: October 2023

Studying the thermal stress effect on sucrose-metabolizing enzymes in sugarcane is of great importance for understanding acclimation to thermal stress. In this study, two varieties, S2003-US-633 and SPF-238, were grown at three different temperatures ( ± 2°C): 30°C as a control, 45°C for various episodes of high temperature treatments and recovery conditions at 24, 48 and 72 hours. Data showed that reducing sugar content increased until the grand growth stage but sharply declined at the maturity stage in both cultivars. On the other hand, sucrose is enhanced only at the maturity stage. The expression of all invertase isozymes declined prominently; however, the expression of SPS was high at the maturity stage. Hence, the sucrose accumulation in mature cane was due to increased SPS activity while decreased invertase isozymes (vacuolar, cytoplasmic and cell wall) activities at maturity stage in both cultivars. Heat shock decreased the sucrose metabolizing enzymes, sucrose content and sugar recovery rate in both cultivars. In contrast, heat-shock treatments induced maximum proline, MDA, H2O2 and EC in both cultivars. Notably, this is the first report of diverse invertase isozyme molecular weight proteins, such as those with 67, 134 and 160 kDa, produced under heat stress, suggesting that these enzymes have varied activities at different developmental stages. Overall, S2003-US-633 performs better than the cultivar SPF-238 under heat stress conditions at all development stages, with increased sucrose content, enzyme expression, proline and sugar recovery rate. This work will provide a new avenue regarding sugarcane molecular breeding programs with respect to thermal stress.
Regulating algorithmic discrimination through adjudication: the Court of Justice of the European Union on discrimination in algorithmic profiling based on PNR data
Authors: Haitsma Lucas Michael
Published: October 2023

This article considers the Court of Justice of the European Union's assessment and regulation of risks of discrimination in the context of algorithmic profiling based on Passenger Name Records data (PNR data). On the June 21, 2022 the court delivered a landmark judgment in Ligue des Droits Humains pertaining to discrimination and algorithmic profiling in a border security context. The CJEU identifies and seeks to regulate several risks of discrimination in relation to the automated processing of PNR data, the manual review of the results of this processing, and the resulting decisions taken by competent authorities. It interpreted whether the PNR Directive that lays down the legal basis for such profiling was compatible with the fundamental right to privacy, the right to data protection, and the right to non-discrimination. In its judgment, the CJEU seems to insufficiently assess various risks of discrimination. In particular, it overlooks risks relating to data quality and representativeness, automation bias, and practical difficulties in identifying discrimination. The judges also seem to prescribe safeguards against discrimination without guidance as to how to ensure their uniform and effective implementation. Such shortcomings can be observed in relation to ensuring the non-discriminatory nature of law enforcement databases, preventing indirectly discriminatory profiling practices based on collected PNR data, and configuring effective human-in-the-loop and transparency safeguards. This landmark judgement represents an important step in addressing algorithmic discrimination through CJEU adjudication. However, the CJEUs inability to sufficiently address the risks of discrimination in the context of algorithmic profiling based on the PNR Directive raises a broader concern. Namely, whether the CJEU is adequately equipped to combat algorithmic discrimination in the broader realm of European border security where algorithmic profiling is becoming increasingly commonplace.
Positive impacts of perceived social support on prosocial behavior: the chain mediating role of moral identity and moral sensitivity
Authors: Li Qiangqiang , Hu Gengdan
Published: October 2023

The relationship between mental health and perceived social support has been well-established in previous studies. While previous research indicates that perceived social support is related to prosocial behavior, the mechanisms underlying this relationship remain unclear. In order to address this gap, a recent study investigated the mediating effects of moral identity and moral sensitivity on the relationship between perceived social support and prosocial behavior. Specifically, the study surveyed 978 college students using a questionnaire to examine the relationship between these variables. The results of the study showed that, after controlling for gender and age, perceived social support, moral identity, and moral sensitivity were significantly and positively correlated, all of which were also significantly and positively related to prosocial behavior. In addition, the study found that perceived social support was able to influence prosocial behavior through both independent mediation by moral identity and moral sensitivity, as well as through chain mediation. The findings of this study contribute to our understanding of the factors that shape prosocial behavior and offer suggestions for promoting such behavior in individuals.
Enhancing English reading skills and self-regulated learning through online collaborative flipped classroom: a comparative study
Authors: Wang Ying
Published: October 2023

Introduction

This research investigates the effectiveness of an online collaborative flipped classroom approach in enhancing English reading skills and self-regulated learning among Chinese English learners.

Methods

A total of 71 participants were divided into three instructional groups: traditional instruction (TI) group (n = 24), flipped instruction (FI) group (n = 22), and online flipped instruction (OFI) group (n = 25). The participants’ reading comprehension ability was assessed using the reading section of the IELTS exam. Self-Regulated Learning (SRL) strategy use was evaluated using a questionnaire, and weekly online quizzes assessed participants’ understanding of course materials. Online learning behaviors were examined by considering online log-on times. The instruction period lasted for 12 weeks, with pre-tests and post-tests conducted to measure progress.

Results

The results indicated that both the FI and OFI groups outperformed the TI group in terms of reading comprehension and self-regulated learning. Furthermore, the OFI students demonstrated superior online learning behaviors and objective performances compared to the FI students.

Discussion

These findings suggest that the integration of flipped and online instruction methods holds promise for improving English reading skills and enhancing self-regulated learning among Chinese English learners.
Impact of personality on cadet academic and military performance within mediating role of self-efficacy
Authors: Bekesiene Svajone
Published: October 2023

Background

The current operational military environment is changing, complex, unpredictable, and ambiguous. Due to such situations, soldiers are constantly forced to think about their values, norms, and roles that should be part of their profession. Consequently, they must first be educated and trained on how to behave in a particular operational military environment. Pursuing an officer’s education at military academies is very difficult not only physically but also psychologically. Cadets are required to be prepared to lead in extreme environments upon graduation. Despite the fact that military tasks are technically complex, the individual operational activities of soldiers are gaining more and more strategic meaning. Therefore, the importance of selecting the process and military education programs of soldiers is increasingly stressed. Cognitive abilities and skills individually predict performance in academic and professional settings, but it is less clear how personality can influence performance. Therefore, this study focused on the explanation of the individual factors that affect the achievements of the cadets. Specifically, the objective of this study was to examine direct and mediated relationships between personality traits and the military and academic performance of cadets.

Methods

This study followed a quantitative method analysis. The research models were assessed using the structural equation modeling technique. Bootstrap was applied to evaluate a 95% level confidence interval on estimates with 5,000 bootstrap samples, and to evaluate direct and indirect effects. The analysis was based on a sample of 120 cadets from the Lithuanian Military Academy. The effects on military and academic performance were evaluated using the Self-Efficacy scale, the Big Five personality trait scale, academic performance was evaluated through academic grades and military performance was evaluated using instructor ratings.

Results

To support our hypotheses, it was found that self-efficacy has a mediating effect on the performance of cadets. Additionally, the traits of conscientiousness, openness to experience and extraversion were related to both military and academic performance. Furthermore, self-efficacy appeared as a partial mediator of the relationship between personality traits and cadet performance.

Conclusion

The findings of this study help clarify the relationship between the personality traits of the cadets and the military and academic performance. In addition, these results may be useful for the further development of military education and training, for the development of testing, and selection of military personnel.
Caffeinated energy drink consumption among Emirati adolescents is associated with a cluster of poor physical and mental health, and unhealthy dietary and lifestyle behaviors: a cross-sectional study
Authors: Faris MoezAlIslam E. , Al Gharaibeh Fakir , Islam M. Rezaul , Abdelrahim Dana , Saif Eman Rashid , Turki Eman Ali , Al-Kitbi Mahra Khalfan , Abu-Qiyas Salma , Zeb Falak , Hasan Hayder , Hashim Mona S. , Osaili Tareq M. , Radwan Hadia , Cheikh Ismail Leila , Naja Farah , Bettayeb Fatima Zohra , Obaid Reyad Shaker
Published: October 2023

Background

Consumption of caffeinated energy drinks (CED) has escalated during the last few years, especially among schoolchildren, with evident adverse health sequelae in this critical age group.

Objective

This study examined the prevalence of CED consumption and its associations with sleep, physical and mental health, and dietary and lifestyle habits among schoolchildren in the United Arab Emirates (UAE).

Method

A structured self-administered online questionnaire was developed and disseminated among schoolchildren aged 14–18 years, selected from schools of the seven emirates of the UAE.

Results

More than 4,500 (N= 4,648) responses received. A relatively low prevalence of CED consumption (20%) was found among schoolchildren in the UAE. However, those who reported CED consumption were more likely to report unhealthy dietary (skipping breakfast, frequent snacking, and eating fast foods, low fruit, and vegetable intake) and lifestyle behaviors (long screen time, poor sleep health), in addition to poor self-reported mental and physical health than non-users. CED consumption was significantly and variably associated with multiple sociodemographic factors such as students’ nationality, parental companionship, sex, school type, education level (children’s and parents’), daily allowance, academic performance, screen time, sleep quality parameters, self-reported physical and mental health, and parents’ employment. Sources of knowledge about CED were social media (55%), friends/schoolmates (52%), and family members (52%). Students believed that CED constitute sugar (87%), caffeine (69%), artificial flavors (67%) sweeteners (54%), and stimulating components (43%). The majority (70%) of students reported that CED consumption increases the risks for heart disease, diabetes, high blood sugar (65%), addiction (64%), high blood pressure (59%), and obesity (57%).

Conclusion

These results offer important insights for health professionals, child health specialists, policymakers, and parents in the UAE regarding adolescents’ attitudes, knowledge and behaviors toward CED consumption.
Post-marketing safety surveillance for both CRM197 and TT carrier proteins PCV13 in Jiangsu, China
Authors: Hu Ran , Liu Yuanbao , Zhang Lei , Kang Guodong , Xu Borong , Li Mingma , Yu Jing , Zhu Yuanyuan , Guo Hongxiong , Wang Zhiguo
Published: October 2023

Background

This study is to evaluate the safety of two kinds of PCV13 carriers by monitoring the occurrence of adverse event following immunization (AEFI) after the launch of two kinds of PCV13 carriers in Jiangsu Province, China.

Methods

The AEFI Information System (CNAEFIS) of mainland China was used to monitor the incidence and classification of adverse reactions of the CRM197-carrier protein PCV13 and TT-carrier protein PCV13 vaccines.

Results

There was no statistical difference between the cumulative reported incidence of AEFI between the two vaccines from 2020 to 2022 (χ2 = 1.991, p < 0.158). 96.62% of the AEFIs were classified as common reactions; rare reactions and coincidental events only accounted for 2.99 and 0.39% of all the AEFI cases, respectively. Redness (2.6 cm–5 cm) is the commonest symptom at the injection site for both vaccines. More than 97% of AEFIs occurred between 30 min and 3 days after administration for both types of PCV13.

Conclusion

Both vaccines perform well in terms of safety. We did not identify any new/unexpected safety concern from the NAEFISS during a 4 years timespan.
Labeled as “drug-seeking”: nurses use harm reduction philosophy to reflect on mending mutual distrust between healthcare workers and people who use drugs
Authors: Febres-Cordero Sarah , Shasanmi-Ellis Rebecca O. , Sherman Athena D. F.
Published: October 2023

Introduction

Over 50 years of approaching drug use from the “War on Drugs” has led to ignoring the systemic structural and social determinants of health, enforced drug use stigma, and damaging stereotypes of people who use drugs or are labeled as “drug-seeking,” and sorely failed to support those needing assistance.

On philosophy of harm reduction and power

People who use drugs are often disenfranchised and pathologized by being labeled as “a drug addict,” which then serves as a rationalization for mistreatment by healthcare providers. This is in opposition to a harm-reduction approach. Harm reduction philosophy is an epistemic valuation necessary for drug use stigma and our moral obligation to reduce harm from interlocking systems of power that perpetuate harm.

On drug-seeking, mistrust, and human rights

We have encountered many clients who use drugs that report harmful interactions with healthcare providers. Harm reduction is an issue of health equity, social justice, and fundamental human rights. This paper presents three vignettes, the author’s experiences of being labeled as—and advocating for family members labeled as “drug-seeking.”

Discussion

To better serve as healthcare providers, workers must be equipped to work with people who use drugs and reinforce the social justice commitment against medical stigma, neglect, racism, and inadequate pain coverage and withdrawal treatment. Nurses and our epistemic lens can meet the challenge of complex intersectional issues affecting our use of power to develop more just and equitable health systems and advance our rebuilding of a trusting relationship with the people we serve.
The saturation mechanism of thermal instability
Authors: Waters Tim , Proga Daniel
Published: October 2023

The literature on thermal instability (TI) reveals that even for a simple homogeneous plasma, the nonlinear outcome ranges from a gentle reconfiguration of the initial state to an explosive one, depending on whether the condensations that form evolve in an isobaric or nonisobaric manner. After summarizing the recent developments on the linear and nonlinear theory of TI, here we derive several general identities from the evolution equation for entropy that reveal the mechanism by which TI saturates; whenever the boundary of the instability region (the Balbus contour) is crossed, a dynamical change is triggered that causes the comoving time derivative of the pressure to change the sign. This event implies that the gas pressure force reverses direction, slowing the continued growth of condensation. For isobaric evolution, this “pressure reversal” occurs nearly simultaneously for every fluid element in condensation and a steady state is quickly reached. For nonisobaric evolution, the condensation is no longer in mechanical equilibrium and the contracting gas rebounds with greater force during the expansion phase that accompanies the gas reaching the equilibrium curve. The cloud then pulsates because the return to mechanical equilibrium becomes wave mediated. We show that both the contraction rebound event and subsequent pulsation behavior follow analytically from an analysis of the new identities. Our analysis also leads to the identification of an isochoric TI zone and makes it clear that unless this zone intersects the equilibrium curve, isochoric modes can only become unstable if the plasma is in a state of thermal non-equilibrium.
Three Decades Single Center Experience of Airway Complications After Lung Transplantation
Authors: van Pel R. , Gan C. T. , van der Bij W. , Verschuuren E. A. M. , van Gemert J. P. A. , Van De Wauwer C. , Erasmus M. E. , Slebos D. J.
Published: October 2023

Post lung transplantation airway complications like necrosis, stenosis, malacia and dehiscence cause significant morbidity, and are most likely caused by post-operative hypo perfusion of the anastomosis. Treatment can be challenging, and airway stent placement can be necessary in severe cases. Risk factors for development of airway complications vary between studies. In this single center retrospective cohort study, all lung transplant recipients between November 1990 and September 2020 were analyzed and clinically relevant airway complications of the anastomosis or distal airways were identified and scored according to the ISHLT grading system. We studied potential risk factors for development of airway complications and evaluated the impact on survival. The treatment modalities were described. In 651 patients with 1,191 airway anastomoses, 63 patients developed 76 clinically relevant airway complications of the airway anastomoses or distal airways leading to an incidence of 6.4% of all anastomoses, mainly consisting of airway stenosis (67%). Development of airway complications significantly affects median survival in post lung transplant patients compared to patients without airway complication (101 months versus 136 months, p = 0.044). No significant risk factors for development of airway complication could be identified. Previously described risk factors could not be confirmed. Airway stents were required in 55% of the affected patients. Median survival is impaired by airway complications after lung transplantation. In our cohort, no significant risk factors for the development of airway complications could be identified.
Telehealth Experience Among Liver and Kidney Transplant Recipients: A Mixed Methods Study
Authors: Ko Dami , Dierker Julia , Stouff Rebecca , Senier Laura
Published: October 2023

Telehealth has become widely available to solid organ transplant (SOT) recipients during the COVID-19 pandemic. While evidence suggests that telehealth serves as an acceptable alternative for most SOT recipients, their satisfaction and its context remain unclear. This study used a mixed methods approach to investigate the perspectives of SOT recipients (i.e., liver, kidney, and simultaneous liver-kidney) on the benefits and disadvantages of telehealth. A total of 252 adult SOT recipients completed an online survey that quantitatively assessed telehealth experience and satisfaction. Fifteen of them further shared their perspectives by participating in either a focus group or individual interview. Approximately 70% of online survey participants had previously used telehealth for their transplant care. The quantitative data documented that, while recipients were mostly satisfied with telehealth, especially with its effectiveness and convenience, they were less satisfied with the reliability of navigating the telehealth system. The qualitative data further showed that telehealth could be less effective for SOT recipients who perceived themselves as clinically and/or socially vulnerable, needed urgent care, and were concerned about privacy. These findings suggest that the plan for using telehealth to provide transplant care should prioritize personalization, considering unique needs and preferences of each SOT recipient.
Model Predictive Control Based Washout Algorithm Design for Flight Simulator Upset Prevention and Recovery Training
Authors: Tong Yu , Zhou Haoyun , Wu Zhao , Li Qifu , Lu Bei
Published: October 2023

To migrate Loss of Control In-flight, the number one cause of aviation fatalities, pilots need to undergo upset prevention and recovery training with flight simulators. The fidelity of a moving base flight simulator is greatly dependent on the washout algorithm of the Stewart platform, which may reach the workspace limits when simulating the aircraft recovery from upset conditions. In this paper, a washout algorithm optimal design method based on the model predictive control technique is proposed for flight simulator upset prevention and recovery training. The parameters of the washout algorithm are calculated directly based on the platform model, and the system limits are explicitly taken into account. The human perception model is incorporated into the optimization problem, for which the objective is to minimize the pilot’s perceived motion mismatch between the real flight and the simulator training. Simulations are conducted and compared with the classical filter-based washout algorithm. Responses of the flight simulator model show that the proposed method can improve the motion cueing effect when the aircraft is in upset conditions.
Secondary and Co-Infections in Hospitalized COVID-19 Patients: A Multicenter Cross-Sectional Study in Malaysia
Authors: Ramli Siti Roszilawati , Abdul Hadi Fashihah Sherina , Nor Amdan Nur Asyura , Kamaradin Insyirah Husna , Zabari Noraliza , Maniam Saraswathiy , Sulaiman Nur Suffia , Ghazali Sumarni , Seman Zamtira , Hashim Rohaidah , Ahmad Norazah
Published: October 2023

Bacterial and fungal secondary and co-infections are commonly identified with viral respiratory infections. This study was undertaken to determine the incidence and factors associated with bacterial and fungal infections in patients with COVID-19 as well as antibiotics prescription patterns within the first and second waves of the outbreak in Malaysia. Clinical records of 3532 COVID-19 patients admitted to hospitals in Malaysia between 4 February and 4 August 2020 were analyzed. Co-morbidities, clinical features, investigations, treatment, and complications were captured using the REDCap database. Culture and sensitivity test results were retrieved from the WHONET database. Univariate and multivariate regression analyses were used to identify associated determinants. A total of 161 types of bacterial and fungal infections were found in 81 patients, i.e., 2.3%. The most common bacterial cultures were Gram-negative, i.e., Pseudomonas aeruginosa (15.3%) and Klebsiella pneumoniae (13.9%). The most common fungal isolate was Candida albicans (41.2%). Augmentin, ceftriaxone, tazocin, meropenem, and azithromycin were the five most frequently prescribed antibiotics. The latter four were classified under the “Watch” category in the WHO AwaRe list. Our data showed that bacterial and fungal secondary and co-infections were frequently found in severely ill COVID-19 patients and were associated with a higher mortality rate.
The Anti-Oxidant Curcumin Solubilized as Oil-in-Water Nanoemulsions or Chitosan Nanocapsules Effectively Reduces Helicobacter pylori Growth, Bacterial Biofilm Formation, Gastric Cell Adhesion and Internalization
Authors: Hidalgo Antonio , Bravo Denisse , Soto Cristopher , Maturana Gabriela , Cordero-Machuca Jimena , Zúñiga-López María Carolina , Oyarzun-Ampuero Felipe , Quest Andrew F. G.
Published: October 2023

The bacterium Helicobacter pylori (H. pylori) represents a major risk factor associated with the development of gastric cancer. The anti-oxidant curcumin has been ascribed many benefits to human health, including bactericidal effects. However, these effects are poorly reproducible because the molecule is extremely unstable and water insoluble. Here we solubilized curcumin as either nanoemulsions or chitosan nanocapsules and tested the effects on H. pylori. The nanoemulsions were on average 200 nm in diameter with a PdI ≤ 0.16 and a negative zeta potential (−54 mV), while the nanocapsules were 305 nm in diameter with a PdI ≤ 0.29 and a positive zeta potential (+68 mV). Nanocapsules were safer than nanoemulsions when testing effects on the viability of GES-1 gastric cells. Also, nanocapsules were more efficient than nanoemulsions at inhibiting H. pylori growth (minimal inhibitory concentration: 50 and 75 μM, respectively), whereby chitosan contributed to this activity. Importantly, both formulations effectively diminished H. pylori’s adherence to and internalization by GES-1 cells, as well as biofilm formation. In summary, the demonstrated activity of the curcumin nanoformulations described here against H. pylori posit them as having great potential to treat or complement other therapies currently in use against H. pylori infection.
Investigation of the Water-Retention Characteristics and Mechanical Behavior of Fibre-Reinforced Unsaturated Sand
Authors: Bao Xiaohua , Bao Zhizao , Li Lijuan , Li Yingpeng , Peng Peng , Chen Xiangsheng
Published: October 2023

The introduction of fibres into soil can effectively improve its engineering properties. Systematically understanding the unsaturated mechanical properties of fibre-reinforced soil is highly significant. Moreover, there is currently no suitable model for describing the water-retention characteristics of unsaturated fibre-reinforced soil. The purpose of this study is to propose a model for the soil–water characteristic curve (SWCC) that can accurately describe unsaturated fibre-reinforced soil. The research focuses on unsaturated sand reinforced with PP fibres. A series of compression and direct shear tests were performed to investigate the mechanical behaviour. In addition, the SWCC was measured using the axis-translation technique. Based on the van Genuchten (VG) model, a modified model considering fibre reinforcement (VG-CFR) is developed for quantitatively analysing the influence of fibre content on the SWCC. The results showed that the established VG-CFR model can reflect the water-retention characteristics of fibre-reinforced sand.
Numerical Study of Dig Sequence Effects during Large-Scale Excavation
Authors: Li Danli , Chen Ying , Dai Bing , Wang Zhengyi , Liang Hao
Published: October 2023

The appropriate excavation sequence can improve the overall stability of a foundation pit. In this study, eight schemes were created using FLAC3D to examine the impact of the excavation sequence on a foundation pit by analyzing a deep foundation pit in Nanjing, which had an irregular large rectangle shape. The results show that different excavation sequence schemes and different phases of the foundation pit can change the displacement values and the horizontal displacement type. The min–max normalization method was used to score the schemes in terms of six parameters and confirm the best excavation sequence scheme. In addition, the irregular shape of the foundation pit also leads to local differences in the stability of a foundation pit; the wide end is only slightly longer than the narrow end, but its displacement is significantly higher than that of the narrow end, so attention should be paid to reinforcing the weak parts when carrying out the support. This study can inform the selection of the excavation sequence for actual construction processes.
An Improved Canonical Correlation Analysis for EEG Inter-Band Correlation Extraction
Authors: Wang Zishan , Huang Ruqiang , Yan Ye , Luo Zhiguo , Zhao Shaokai , Wang Bei , Jin Jing , Xie Liang , Yin Erwei
Published: October 2023

(1) Background: Emotion recognition based on EEG signals is a rapidly growing and promising research field in affective computing. However, traditional methods have focused on single-channel features that reflect time-domain or frequency-domain information of the EEG, as well as bi-channel features that reveal channel-wise relationships across brain regions. Despite these efforts, the mechanism of mutual interactions between EEG rhythms under different emotional expressions remains largely unexplored. Currently, the primary form of information interaction between EEG rhythms is phase–amplitude coupling (PAC), which results in computational complexity and high computational cost. (2) Methods: To address this issue, we proposed a method of extracting inter-bands correlation (IBC) features via canonical correlation analysis (CCA) based on differential entropy (DE) features. This approach eliminates the need for surrogate testing and reduces computational complexity. (3) Results: Our experiments verified the effectiveness of IBC features through several tests, demonstrating that the more correlated features between EEG frequency bands contribute more to emotion classification accuracy. We then fused IBC features and traditional DE features at the decision level, which significantly improved the accuracy of emotion recognition on the SEED dataset and the local CUMULATE dataset compared to using a single feature alone. (4) Conclusions: These findings suggest that IBC features are a promising approach to promoting emotion recognition accuracy. By exploring the mutual interactions between EEG rhythms under different emotional expressions, our method can provide valuable insights into the underlying mechanisms of emotion processing and improve the performance of emotion recognition systems.
Automatic Assessment of Transcatheter Aortic Valve Implantation Results on Four-Dimensional Computed Tomography Images Using Artificial Intelligence
Authors: Busto Laura , Veiga César , González-Nóvoa José A. , Campanioni Silvia , Juan-Salvadores Pablo , Jiménez Díaz Víctor Alfonso , Baz José Antonio , Alba-Castro José Luis , Kütting Maximilian , Íñiguez Andrés
Published: October 2023

Transcatheter aortic valve implantation (TAVI) is a procedure to treat severe aortic stenosis. There are several clinical concerns related to potential complications after the procedure, which demand the analysis of computerized tomography (CT) scans after TAVI to assess the implant’s result. This work introduces a novel, fully automatic method for the analysis of post-TAVI 4D-CT scans to characterize the prosthesis and its relationship with the patient’s anatomy. The method enables measurement extraction, including prosthesis volume, center of mass, cross-sectional area (CSA) along the prosthesis axis, and CSA difference between the aortic root and prosthesis, all the variables studied throughout the cardiac cycle. The method has been implemented and evaluated with a cohort of 13 patients with five different prosthesis models, successfully extracting all the measurements from each patient in an automatic way. For Allegra patients, the mean of the obtained inner volume values ranged from 10,798.20 mm3 to 18,172.35 mm3, and CSA in the maximum diameter plane varied from 396.35 mm2 to 485.34 mm2. The implantation of this new method could provide information of the important clinical value that would contribute to the improvement of TAVI, significantly reducing the time and effort invested by clinicians in the image interpretation process.
Implicit HbA1c Achieving 87% Accuracy within 90 Days in Non-Invasive Fasting Blood Glucose Measurements Using Photoplethysmography
Authors: Chu Justin , Chang Yao-Ting , Liaw Shien-Kuei , Yang Fu-Liang
Published: October 2023

To reduce the error induced by overfitting or underfitting in predicting non-invasive fasting blood glucose (NIBG) levels using photoplethysmography (PPG) data alone, we previously demonstrated that incorporating HbA1c led to a notable 10% improvement in NIBG prediction accuracy (the ratio in zone A of Clarke’s error grid). However, this enhancement came at the cost of requiring an additional HbA1c measurement, thus being unfriendly to users. In this study, the enhanced HbA1c NIBG deep learning model (blood glucose level predicted from PPG and HbA1c) was trained with 1494 measurements, and we replaced the HbA1c measurement (explicit HbA1c) with “implicit HbA1c” which is reversely derived from pretested PPG and finger-pricked blood glucose levels. The implicit HbA1c is then evaluated across intervals up to 90 days since the pretest, achieving an impressive 87% accuracy, while the remaining 13% falls near the CEG zone A boundary. The implicit HbA1c approach exhibits a remarkable 16% improvement over the explicit HbA1c method by covering personal correction items automatically. This improvement not only refines the accuracy of the model but also enhances the practicality of the previously proposed model that relied on an HbA1c input. The nonparametric Wilcoxon paired test conducted on the percentage error of implicit and explicit HbA1c prediction results reveals a substantial difference, with a p-value of 2.75 × 10–7.
Artificial Vision: The High-Frequency Electrical Stimulation of the Blind Mouse Retina Decay Spike Generation and Electrogenically Clamped Intracellular Ca2+ at Elevated Levels
Authors: Peiroten Lucia , Zrenner Eberhart , Haq Wadood
Published: October 2023

Background: The electrical stimulation (stim) of retinal neurons enables blind patients to experience limited artificial vision. A rapid response outage of the stimulated ganglion cells (GCs) allows for a low visual sensation rate. Hence, to elucidate the underlying mechanism, we investigated different stim parameters and the role of the neuromodulator calcium (Ca2+). Methods: Subretinal stim was applied on retinal explants (blind rd1 mouse) using multielectrode arrays (MEAs) or single metal electrodes, and the GC activity was recorded using Ca2+ imaging or MEA, respectively. Stim parameters, including voltage, phase polarity, and frequency, were investigated using specific blockers. Results: At lower stim frequencies (<5 Hz), GCs responded synaptically according to the stim pulses (stim: biphasic, cathodic-first, −1.6/+1.5 V). In contrast, higher stim frequencies (≥5 Hz) also activated GCs directly and induced a rapid GC spike response outage (<500 ms, MEA recordings), while in Ca2+ imaging at the same frequencies, increased intracellular Ca2+ levels were observed. Conclusions: Our study elucidated the mechanisms involved in stim-dependent GC spike response outage: sustained high-frequency stim-induced spike outage, accompanied by electrogenically clamped intracellular Ca2+ levels at elevated levels. These findings will guide future studies optimizing stim paradigms for electrical implant applications for interfacing neurons.
GlycA: Evaluation of a New Biomarker of Acute Pancreatitis
Authors: Shah Ishani , Yakah William , Ahmed Awais , Freedman Steven D. , Jiang Zhenghui G. , Sheth Sunil G.
Published: October 2023

Background: Acute pancreatitis (AP) is a leading cause of gastrointestinal hospital admissions, with up to 40% mortality in patients with moderate–severe AP. Glycoprotein acetylation (GlycA) is measured as a nuclear magnetic resonance signal (NMR) of the post-translational modification of glycosylated acute-phase proteins released during inflammation. We aimed to investigate the role of GlycA as an inflammatory biomarker of AP. Methods: We prospectively enrolled 20 AP patients and 22 healthy controls and collected EDTA plasma samples at admission and discharge. NMR spectra were acquired from these samples using a 400 MHz Vantera® Clinical Analyzer, and GlycA concentrations were calculated (normal = 400 μmol/L). The GlycA NMR signal, at 2.00 ± 0.01 ppm in the NMR spectrum, is derived from the N-acetyl methyl group protons within the carbohydrate side chains of circulating glycoproteins such as α1-acid glycoprotein, haptoglobin, α1-antitrypsin, α1-antichymotrypsin, and transferrin. GlycA levels were then compared between AP patients and controls, as well as within the AP group, based on etiology and severity. Results: Demographic comparisons were similar, except for a higher BMI in AP patients compared to healthy controls (29.9 vs. 24.8 kg/m2; p < 0.001). AP was mild in 10 patients, moderate in 7, and severe in 3. GlycA levels were higher in AP patients than healthy controls on admission (578 vs. 376 μmol/L, p < 0.001) and at discharge (655 vs. 376 μmol/L, p < 0.001). GlycA levels were significantly higher in patients with moderate–severe AP than in those with mild AP at discharge (533 vs. 757 μmol/L, p = 0.023) but not at admission. After adjusting for BMI, multivariable regression indicated that patients with GlycA levels > 400 μmol/L had significantly higher odds of having AP of any severity (OR = 6.88; 95% CI, 2.07–32.2; p = 0.004) and mild AP (OR = 6.12; 95% CI, 1.48–42.0; p = 0.025) than controls. Conclusion: Our pilot study highlights the use of GlycA as a novel diagnostic biomarker of inflammation in patients with AP. Our study shows that GlycA levels were significantly higher in hospitalized AP patients compared to healthy controls. Patients with moderate-to-severe AP had higher GlycA levels compared to patients with mild AP at the time of their hospital discharge, suggesting persistent inflammation in patients with severe disease.
Molecular and Genetic Biomarkers in Idiopathic Pulmonary Fibrosis: Where Are We Now?
Authors: Tomos Ioannis , Roussis Ioannis , Matthaiou Andreas M. , Dimakou Katerina
Published: October 2023

Idiopathic pulmonary fibrosis (IPF) represents a chronic progressive fibrotic interstitial lung disease of unknown cause with an ominous prognosis. It remains an unprecedent clinical challenge due to its delayed diagnosis and unpredictable clinical course. The need for accurate diagnostic, prognostic and predisposition biomarkers in everyday clinical practice becomes more necessary than ever to ensure prompt diagnoses and early treatment. The identification of such blood biomarkers may also unravel novel drug targets against IPF development and progression. So far, the role of diverse blood biomarkers, implicated in various pathogenetic pathways, such as in fibrogenesis (S100A4), extracellular matrix remodelling (YKL-40, MMP-7, ICAM-1, LOXL2, periostin), chemotaxis (CCL-18, IL-8), epithelial cell injury (KL-6, SP-A, SP-D), autophagy and unfolded protein response has been investigated in IPF with various results. Moreover, the recent progress in genetics in IPF allows for a better understanding of the underlying disease mechanisms. So far, the causative mutations in pulmonary fibrosis include mutations in telomere-related genes and in surfactant-related genes, markers that could act as predisposition biomarkers in IPF. The aim of this review is to provide a comprehensive overview from the bench to bedside of current knowledge and recent insights on biomarkers in IPF, and to suggest future directions for research. Large-scale studies are still needed to confirm the exact role of these biomarkers.
Obesity-Associated Non-T2 Mechanisms in Obese Asthmatic Individuals
Authors: Shailesh Harshita , Bhat Ajaz A. , Janahi Ibrahim A.
Published: October 2023

Obesity and asthma are two common health issues that have shown increased prevalence in recent years and have become a significant socioeconomic burden worldwide. Obesity increases asthma incidence and severity. Obese asthmatic individuals often experience increased exacerbation rates, enhanced airway remodeling, and reduced response to standard corticosteroid therapy. Recent studies indicate that obesity-associated non-T2 factors such as mechanical stress, hyperinsulinemia, systemic inflammation, adipose tissue mediators, metabolic dysregulation, microbiome dysbiosis, and high-fat-diet are responsible for increased asthma symptoms and reduced therapeutic response in obese asthmatic individuals. This manuscript reviews the recent findings highlighting the role of obesity-associated factors that contribute to airway hyper-reactivity, airway inflammation and remodeling, and immune cell dysfunction, consequently contributing to worsening asthma symptoms. Furthermore, the review also discusses the possible future therapies that might play a role in reducing asthma symptoms by diminishing the impact of obesity-associated non-T2 factors.
Identifying Potent Nonsense-Mediated mRNA Decay Inhibitors with a Novel Screening System
Authors: Carrard Julie , Ratajczak Fiona , Elsens Joséphine , Leroy Catherine , Kong Rebekah , Geoffroy Lucie , Comte Arnaud , Fournet Guy , Joseph Benoît , Li Xiubin , Moebs-Sanchez Sylvie , Lejeune Fabrice
Published: October 2023

Nonsense-mediated mRNA decay (NMD) is a quality control mechanism that degrades mRNAs carrying a premature termination codon. Its inhibition, alone or in combination with other approaches, could be exploited to develop therapies for genetic diseases caused by a nonsense mutation. This, however, requires molecules capable of inhibiting NMD effectively without inducing toxicity. We have built a new screening system and used it to identify and validate two new molecules that can inhibit NMD at least as effectively as cycloheximide, a reference NMD inhibitor molecule. These new NMD inhibitors show no cellular toxicity at tested concentrations and have a working concentration between 6.2 and 12.5 µM. We have further validated this NMD-inhibiting property in a physiopathological model of lung cancer in which the TP53 gene carries a nonsense mutation. These new molecules may potentially be of interest in the development of therapies for genetic diseases caused by a nonsense mutation.
The Association of Asthma with Anxiety, Depression, and Mild Cognitive Impairment among Middle-Aged and Elderly Individuals in Saudi Arabia
Authors: Abuaish Sameera , Eltayeb Huda , Bepari Asmatanzeem , Hussain Syed Arif , Alqahtani Raneem Saad , Alshahrani Waad Saeed , Alqahtani Amjad Hayf , Almegbil Nada Saad , Alzahrani Wafa Nedal
Published: October 2023

Asthma is a common chronic inflammatory condition with increasing global prevalence. There is some evidence highlighting the effect of asthma on brain functioning. In Saudi Arabia, limited studies have examined the relationship between asthma and mental health, including cognition and mood disorders in older adults in particular. In this study, we examine the association between asthma and mental health outcomes in middle-aged and elderly individuals in Riyadh, Saudi Arabia. In a cross-sectional study, 243 subjects were recruited from outpatient clinics between 2020–2021 (non-asthmatic: n = 159, asthmatic: n = 84). The Montreal Cognitive Assessment test, the Hospital Anxiety and Depression Scale, and the Asthma Control Test were used to assess cognition, anxiety and depression, and asthma control, respectively. Logistic regression analysis while controlling for covariates revealed an association between asthma and symptoms of anxiety and depression (OR = 2.40 [95% CI: 1.07–5.35]) and mild cognitive impairment (MCI) (OR = 1.80 [95% CI: 1.00–3.24]). Poorly controlled asthma increased the odds of anxiety cases (OR = 4.88 [95% CI: 1.09–17.2]). Stratifying analysis by age intervals revealed that asthma was associated with symptoms of anxiety and depression (OR = 2.5 [95% CI: 1.00–6.08]) in middle-aged patients only, while elderly asthmatics had increased odds of having MCI (OR = 7.4 [95% CI: 2.34–23.31]). These findings highlight the possible effects of asthma and its control on mental health among middle-aged and elderly individuals in Saudi Arabia.
Development of Knowledge Management Risk Framework for the Construction Industry
Authors: Demirdöğen Gökhan
Published: October 2023

The construction industry (CI) has complex, human-based, dynamic, and fragmented structure. Therefore, effective Knowledge Management (KM) is the key to eliminate risks and ensure project success. However, KM applications in CI are behind other industries. Moreover, construction companies try to integrate Information and Communication Technologies and Information Systems. However, their success and adaptation levels are below expectations due to their unawareness of KM risks. Furthermore, there is a lack of knowledge identification, conceptualization, and development of a comprehensive KM risk framework. Therefore, this study aims to identify KM risks and to develop a KM risk framework. The research followed a literature review, Focus Group Discussion (FGD), Fuzzy TOPSIS, and an expert review meeting. Using the Fuzzy TOPSIS methodology, the sequence of KM risks and their weights were uncovered. According to the analysis results, operational KM risks were found more important than technological and human-related factors. In addition, “Financial risks” were revealed to be the most outstanding risk in KM. As a final step, the expert review meeting was held. The reviews revealed that KM risks are of note and yet ignored. Another inference from expert reviews showed that the developed framework was beneficial to manage KM risks in CI.