bluuebunny/crossref_metadata_2025 huggingface dataset:
The effects of baicalin in depression: preclinical evidence construction based on meta-analysis
Authors: Wang Dan , Ren Yu-Meng , Guo Yi-Xuan , Zhang Zhi-Qi , Sui He- , Zhang Hai-Yan
Published: July 2024

Background

Depression manifests as a mental disorder characterized by a low mood, suicidal tendencies, disturbances in sleep-wake cycles, psychomotor agitation, and pronounced feelings of hopelessness and anhedonia. Baicalin, a natural flavonoid compound, shows significant promise in alleviating depressive symptoms in animals. This study aims to assess the impact of baicalin on experimental models of depression.

Methods

A systematic search of electronic databases was conducted using the search terms “baicalin” AND “depression” OR “depressed” OR “anti-depression”. Preclinical animal models representing experimental depression were included in the analysis. The risk of bias in the included studies was evaluated using the CAMARADES tools.

Results

Baicalin significantly increased sucrose preference test (SPT) [SMD= 21.31, 95%CI (16.32, 26.31), P < 0.00001]. mThe tail suspension test (TST) duration significantly decreased in the baicalin group compared to the model group [SMD = −39.3, 95%CI (−49.71, −28.89), P < 0.0001]. Furthermore, baicalin reduced immobility time in rats subjected to the forced swim test (FST) [SMD = −39.73, 95%CI (−48.77, −30.69) P < 0.0001]. Compared to the model group, baicalin treatment also significantly increased the frequency of crossings in the open field test (OFT) [SMD = 32.44, 95%CI (17.74, 47.13), P < 0.00001].

Conclusion

Baicalin significantly improves the manifestations of depressive symptoms. The effect of baicalin against depression is exerted through its anti-inflammatory actions, inhibition of oxidative stress, regulation of the HPA axis, and restoration of neuroplasticity. Future studies will be needed to further explore how these promising preclinical findings can be translated into clinical treatment for depression.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023472181.
Effect of Fu Zheng Jie Du Formula on outcomes in patients with severe pneumonia receiving prone ventilation: a retrospective cohort study
Authors: Cai Hairong , Luo Sicong , Cai Xingui , Lai Ting , Zhao Shuai , Zhang Weizhang , Zhuang Jieqin , Li Zhishang , Chen Li , Chen Bojun , Ye Ye
Published: July 2024

Background

The effect of combining prone ventilation with traditional Chinese medicine on severe pneumonia remains unclear.

Objective

To evaluate the effect of Fu Zheng Jie Du Formula (FZJDF) combined with prone ventilation on clinical outcomes in patients with severe pneumonia.

Methods

This single-center retrospective cohort study included 188 severe pneumonia patients admitted to the ICU from January 2022 to December 2023. Patients were divided into an FZJD group (receiving FZJDF for 7 days plus prone ventilation) and a non-FZJD group (prone ventilation only). Propensity score matching (PSM) was performed to balance baseline characteristics. The primary outcome was the change in PaO2/FiO2 ratio after treatment. Secondary outcomes included 28-day mortality, duration of mechanical ventilation, length of ICU stay, PaCO2, lactic acid levels, APACHE II score, SOFA score, Chinese Medicine Score, inflammatory markers, and time to symptom resolution.

Results

After PSM, 32 patients were included in each group. Compared to the non-FZJD group, the FZJD group showed significantly higher PaO2/FiO2 ratios, lower PaCO2, and lower lactic acid levels after treatment (p < 0.05 for all). The FZJD group also had significantly lower APACHE II scores, SOFA scores, Chinese Medicine Scores, and levels of WBC, PCT, hs-CRP, and IL-6 (p < 0.05 for all). Time to symptom resolution, including duration of mechanical ventilation, length of ICU stay, time to fever resolution, time to cough resolution, and time to resolution of pulmonary rales, was significantly shorter in the FZJD group (p < 0.05 for all). There was no significant difference in 28-day mortality between the two groups.

Conclusion

FZJDF as an adjuvant therapy to prone ventilation can improve oxygenation and other clinical outcomes in severe pneumonia patients. Prospective studies are warranted to validate these findings.
The xenobiotic transporter ABCC4/MRP4 promotes epithelial mesenchymal transition in pancreatic cancer
Authors: Gancedo S. N. , Sahores A. , Gómez N. , Di Siervi N. , May M. , Yaneff A. , de Sousa Serro M. G. , Fraunhoffer N. , Dusetti N. , Iovanna J. , Shayo C. , Davio C. A. , González B.
Published: July 2024

The xenobiotic transporter ABCC4/MRP4 is highly expressed in pancreatic ductal adenocarcinoma (PDAC) and correlates with a more aggressive phenotype and metastatic propensity. Here, we show that ABCC4 promotes epithelial-mesenchymal transition (EMT) in PDAC, a hallmark process involving the acquisition of mesenchymal traits by epithelial cells, enhanced cell motility, and chemoresistance. Modulation of ABCC4 levels in PANC-1 and BxPC-3 cell lines resulted in the dysregulation of genes present in the EMT signature. Bioinformatic analysis on several cohorts including tumor samples, primary patient-derived cultured cells, patient-derived xenografts, and cell lines, revealed a positive correlation between ABCC4 expression and EMT markers. We also characterized the ABCC4 cistrome and identified four candidate clusters in the distal promoter and intron one that showed differential binding of pro-epithelial FOXA1 and pro-mesenchymal GATA2 transcription factors in low ABCC4-expressing HPAF-II and high ABCC4-expressing PANC-1 xenografts. HPAF-II xenografts showed exclusive binding of FOXA1, and PANC-1 xenografts exclusive binding of GATA2, at ABCC4 clusters, consistent with their low and high EMT phenotype respectively. Our results underscore ABCC4/MRP4 as a valuable prognostic marker and a potential therapeutic target to treat PDAC subtypes with prominent EMT features, such as the basal-like/squamous subtype, characterized by worse prognosis and no effective therapies.
Redox dynamics in seeds of Acer spp: unraveling adaptation strategies of different seed categories
Authors: Fuchs Hanna , Staszak Aleksandra M. , Vargas Paola A. , Sahrawy Mariam , Serrato Antonio J. , Dyderski Marcin K. , Klupczyńska Ewelina A. , Głodowicz Paweł , Rolle Katarzyna , Ratajczak Ewelina
Published: July 2024

Background

Seeds of woody plant species, such as those in the Acer genus like Norway maple (Acer platanoides L.) and sycamore (Acer pseudoplatanus L.), exhibit unique physiological traits and responses to environmental stress. Thioredoxins (Trxs) play a central role in the redox regulation of cells, interacting with other redox-active proteins such as peroxiredoxins (Prxs), and contributing to plant growth, development, and responses to biotic and abiotic stresses. However, there is limited understanding of potential variations in this system between seeds categorized as recalcitrant and orthodox, which could provide insights into adaptive strategies.

Methods

Using proteomic analysis and DDA methods we investigated the Trx-h1 target proteins in seed axes. We complemented the results of the proteomic analysis with gene expression analysis of the Trx-h1, 1-Cys-Prx, and TrxR NTRA genes in the embryonic axes of maturing, mature, and stored seeds from two Acer species.

Results and discussion

The expression of Trx-h1 and TrxR NTRA throughout seed maturation in both species was low. The expression of 1-Cys-Prx remained relatively stable throughout seed maturation. In stored seeds, the expression levels were minimal, with slightly higher levels in sycamore seeds, which may confirm that recalcitrant seeds remain metabolically active during storage. A library of 289 proteins interacting with Trx-h1 was constructed, comprising 68 from Norway maple and 221 from sycamore, with distinct profiles in each seed category. Recalcitrant seed axes displayed a wide array of metabolic, stress response, and signaling proteins, suggesting sustained metabolic activity during storage and the need to address oxidative stress. Conversely, the orthodox seed axes presented a protein profile, reflecting efficient metabolic shutdown, which contributes to their extended viability. The results of the study provide new insights into seed viability and storage longevity mechanisms. They enhance the understanding of seed biology and lay the foundation for further evolutionary research on seeds of different categories.
Grammatical gender in spoken word recognition in school-age Spanish monolingual and Spanish–English bilingual children
Authors: Baron Alisa , Connell Katrina , Kleinman Daniel , Bedore Lisa M. , Griffin Zenzi M.
Published: July 2024

This study examined grammatical gender processing in school-aged children with varying levels of cumulative English exposure. Children participated in a visual world paradigm with a four-picture display where they heard a gendered article followed by a target noun and were in the context where all images were the same gender (same gender), where all of the distractor images were the opposite gender than the target noun (different gender), and where all of the distractor images were the opposite gender, but there was a mismatch in the gendered article and target noun pair. We investigated 51 children (aged 5;0–10;0) who were exposed to Spanish since infancy but varied in their amount of cumulative English exposure. In addition to the visual word paradigm, all children completed an article–noun naming task, a grammaticality judgment task, and standardized vocabulary tests. Parents reported on their child’s cumulative English language exposure and current English language use. To investigate the time course of lexical facilitation effects, looks to the target were analyzed with a cluster-based permutation test. The results revealed that all children used gender in a facilitatory way (during the noun region), and comprehension was significantly inhibited when the article–noun pairing was ungrammatical rather than grammatical. Compared to children with less cumulative English exposure, children with more cumulative English exposure looked at the target noun significantly less often overall, and compared to younger children, older children looked at the target noun significantly more often overall. Additionally, children with lower cumulative English exposure looked at target nouns more in the different-gender condition than the same-gender condition for masculine items more than feminine items.
Feasibility of virtual reality and machine learning to assess personality traits in an organizational environment
Authors: Vargas Elena Parra , Carrasco-Ribelles Lucia Amalia , Marin-Morales Javier , Molina Carla Ayuso , Raya Mariano Alcañiz
Published: July 2024

Introduction

Personality plays a crucial role in shaping an individual’s interactions with the world. The Big Five personality traits are widely used frameworks that help describe people’s psychological behaviours. These traits predict how individuals behave within an organizational setting.

Methods

In this article, we introduce a virtual reality (VR) strategy for relatively scoring an individual’s personality to evaluate the feasibility of predicting personality traits from implicit measures captured from users interacting in VR simulations of different organizational situations. Specifically, eye-tracking and decision-making patterns were used to classify individuals according to their level in each of the Big Five dimensions using statistical machine learning (ML) methods. The virtual environment was designed using an evidence-centered design approach.

Results

The dimensions were assessed using NEO-FFI inventory. A random forest ML model provided 83% accuracy in predicting agreeableness. A k-nearest neighbour ML model provided 75%, 75%, and 77% accuracy in predicting openness, neuroticism, and conscientiousness, respectively. A support vector machine model provided 85% accuracy for predicting extraversion. These analyses indicated that the dimensions could be differentiated by eye-gaze patterns and behaviours during immersive VR.

Discussion

Eye-tracking measures contributed more significantly to this differentiation than the behavioural metrics. Currently, we have obtained promising results with our group of participants, but to ensure the robustness and generalizability of our findings, it is imperative to replicate the study with a considerably larger sample. This study demonstrates the potential of VR and ML to recognize personality traits.
Interference across time: dissociating short from long temporal interference
Authors: Hochmitz Ilanit , Abu-Akel Ahmad , Yeshurun Yaffa
Published: July 2024

Our ability to identify an object is often impaired by the presence of preceding and/or succeeding task-irrelevant items. Understanding this temporal interference is critical for any theoretical account of interference across time and for minimizing its detrimental effects. Therefore, we used the same sequences of 3 orientation items, orientation estimation task, and computational models, to examine temporal interference over both short (<150 ms; visual masking) and long (175–475 ms; temporal crowding) intervals. We further examined how inter-item similarity modifies these different instances of temporal interference. Qualitatively different results emerged for interference of different scales. Interference over long intervals mainly degraded the precision of the target encoding while interference over short intervals mainly affected the signal-to-noise ratio. Although both interference instances modulated substitution errors (reporting a wrong item) and were alleviated with dissimilar items, their characteristics were markedly disparate. These findings suggest that different mechanisms mediate temporal interference of different scales.
Dietary diversity and associated factors among infants and young children in three West African countries
Authors: Janmohamed Amynah , Baker Melissa M. , Doledec David , Ndiaye Fatou , Konan Ahmenan Claude Liliane , Leonce Amoakon , Kouadio Koffi Landry , Beye Maguette , Yattara Mohamed L. , Dissieka Romance
Published: July 2024

Providing children healthy diversified diets is important for their optimal growth and development. The high prevalence of under-nourishment during the critical early life period is of serious concern in West Africa. We assessed the level of dietary diversity and associated factors for children aged 6–23 months in Côte d’Ivoire, Niger and Senegal. Prior 24 h dietary intake was assessed for 3,528 children (Côte d’Ivoire: N = 118; Niger: N = 763; Senegal: N = 2,647) using the Diet Quality Questionnaire survey tool administered to primary caregivers. Cluster random sampling was conducted for urban and rural areas in Niger and Senegal and simple random sampling was used in Côte d’Ivoire, where only rural households were selected. Survey data were analyzed to determine children’s intake of items from eight food groups: breast milk; grains, roots, tubers and plantains; pulses, nuts and seeds; dairy products; flesh foods; eggs; vitamin A-rich fruits and vegetables; and other fruits and vegetables. Minimum Dietary Diversity (MDD) was assessed based on the consumption of ≥5 of the 8 food groups. In all countries, the majority of children were ≥ 12 months of age and from rural households. Children from poor/very poor households ranged from 32.4 to 41.9%. MDD prevalence was 54.2% in Côte d’Ivoire, 33.3% in Niger and 30.8% in Senegal. In all three countries, children 12–23 months had significantly higher consumption of six of the food groups, compared to those 6–11 months, and children ≥12 months had a higher likelihood of MDD, compared to infants, in Niger (aOR = 4.25; 95% CI: 2.46, 7.36) and Senegal (aOR = 2.69; 95% CI: 2.15, 3.35). MDD prevalence was higher among children in urban, compared to rural, areas in Niger (p = 0.020) and Senegal (p < 0.001) and significantly higher in the wealthiest, compared to poorest, households. This study suggests most young children in Côte d’Ivoire, Niger and Senegal are not receiving an adequately diversified diet, with a reliance on starchy staples and lower intake of high-quality protein sources. Our results highlight socio-economic barriers to attaining dietary diversity in these settings and stress the urgent and continuing need for investments in strategies that support optimal complementary feeding practices.
The association between intolerance of uncertainty and academic burnout among university students: the role of self-regulatory fatigue and self-compassion
Authors: Qiang Jingyu , He Xiaowen , Xia Zheng , Huang Jing , Xu Cheng
Published: July 2024

Introduction

Increased uncertainty is a major feature of the current society that poses significant challenges to university students' mental health and academics. However, current research has not paid sufficient attention to this issue, and no study has explored the underlying mechanisms between intolerance of uncertainty and academic burnout among university students.

Methods

This study examined the association between uncertainty intolerance and academic burnout among university students and the role of self-regulatory fatigue and self-compassion in light of the theory of limited resources. Convenience sampling was used to survey 1,022 Chinese university students.

Results

The findings demonstrated that intolerance of uncertainty significantly influenced university students' academic burnout with self-regulatory fatigue serving as a key mediator. Additionally, self-compassion can effectively moderate the effects of intolerance of uncertainty on self-regulatory fatigue and academic burnout.

Discussion

These results indicated that the depletion of cognitive resources brought about by uncertainty in the current highly uncertain social environment may be one of the key pathways to academic burnout among university students. Furthermore, current research provides insights into how to mitigate the negative effects of uncertainty on university students.
Correlations between well-being of nurses and psychosocial working conditions – a descriptive cross-sectional study
Authors: Tomaszewska Katarzyna , Kowalczuk Krystyna , Majchrowicz Bożena
Published: July 2024

Introduction

Work in health care is classified as a difficult profession and nurses are considered among the professional group that is exposed to the permanent impact of occupational stress. Psychosocial working conditions and related hazards are defined as those aspects that have the potential to cause harm to an employee’s mental or physical health. Lack of psycho-physical health well-being reduces job satisfaction and thus job commitment.

Aim

The aim of this study was to assess the overall well-being of nurses and examine the correlation between nurses’ well-being and their assessment of psychosocial working conditions in conjunction with occupational and demographic factors.

Materials and methods

A descriptive cross-sectional survey was conducted among 526 nurses employed in a selected public clinical hospital in Poland. All nurses provided labor during the survey. A diagnostic survey method using the standardized Psychosocial Working Conditions questionnaire based on the demands-control-support stress model was used for measurement.

Results

The examined nurses rated highly job demands (mean 3.46) as well as the scale of desired changes (mean 3.44). The ability to control their work (mean 3.19) and the level of social support (mean 3.21) were rated at a slightly lower level. The scale of well-being was rated highest by respondents (mean 3.68). Several statistically significant correlations (p < 0.05) can be observed between the well-being scale and the other scales of psychosocial working conditions across age categories. The least correlated are the well-being and demands scales, although as age increases with higher levels of well-being, the demands scale scores decrease.

Conclusion

The well-being of the examined nurses was closely related to sociodemographic data and the individual scales of the Psychosocial Working Conditions questionnaire. Chronic diseases are associated with greater demands at work and reduced well-being. Respondents who receive higher levels of support at work experience higher levels of well-being.
Annual variation in thermal and structural properties of yesso scallops (Mizuhopecten yessoensis) adductor muscle
Authors: Tian Yuanyong , Jiang Minghui , Wang Zhuolin , Yuan Chunhong
Published: July 2024

The annual changes of the scallop’s adductor muscle in Ca2+-ATPase activity, chymotryptic digestion, endogenous fluorescence spectra, sulfhydryl content, and surface hydrophobicity were studied. Ca2+-ATPase activity peaked in February and reached its minimum in August for males and in July for females. However, no significant differences were observed between males and females throughout the year. The inactivation rate of Ca2+-ATPase activity increased by 17- to 36-fold when the temperature rose from 38°C to 45°C. The ratio of free myosin to bound myosin was approximately 5:4 at 0.5 M KCl and changed to 5:1 at 1.0 M, as determined by modeling. Chymotryptic digestion demonstrated that scallop myosin could be cleaved into S-1/rod portions at 0.1 M and HMM/LMM at 0.5 M KCl. Furthermore, no significant seasonal variations were observed in chymotryptic digestion patterns, endogenous fluorescence, surface hydrophobicity, or sulfhydryl content. In conclusion, the structure and thermal stability of both male and female scallops remained stable throughout the year, making them suitable for processing and preservation.
Lack of Risk Management at Insolvency Consulting Companies: An Empirical Study in Germany 2024
Authors: Seehaus Sascha Rudolf , Peráček Tomáš
Published: July 2024

In the wake of the COVID-19 pandemic, the Russian war of aggression against Ukraine and the resurgence of the Middle East conflict, government measures to support the economy have intervened massively in economic activity and thus influenced the real insolvency situation. This situation creates disruptive conditions in insolvency counselling and requires comprehensive risk management for the strategic safeguarding of internal processes in insolvency counselling companies. Despite a number of academic articles that address a lack of risk awareness in insolvency counselling, there have been no valid statistical surveys on this topic to date. The topic has also been largely ignored in practice. This article presents a study that examines risk management in insolvency advisory companies in the context of government intervention in the global economy from 2020 to 2023. The aim of the research is to assess the necessity and existence of risk management in these companies. A survey of 350 insolvency advisors was conducted between March and April 2024, from which 113 complete data sets could be analysed. The central hypothesis of the research study is that a significant majority of insolvency advisory companies have insufficient risk awareness and do not implement comprehensive risk management strategies. The survey results confirm that risk management is rarely practised and that a well-founded risk awareness is lacking in most consulting companies. It is noteworthy that two-thirds of those surveyed consider the benefits of risk management to be low, although more than half of those surveyed recognise increased risks due to government crisis measures. Ultimately, this study concludes with a recommendation that a standardised EU insolvency regulation could offer the greatest benefits for the insolvency sector, as it would simplify risk management for consultants in all member states.
Nanopriming with Zinc–Molybdenum in Jalapeño Pepper on Imbibition, Germination, and Early Growth
Authors: Ochoa-Chaparro Erick H. , Ramírez-Estrada Carlos A. , Anchondo-Páez Julio C. , Sánchez Esteban , Pérez-Álvarez Sandra , Castruita-Esparza Luis U. , Muñoz-Márquez Ezequiel , Chávez-Mendoza Celia , Patiño-Cruz Juan J. , Franco-Lagos Cristina L.
Published: July 2024

The jalapeño pepper is a vegetable of great economic importance worldwide. However, low germination efficiency, weak seedlings, and a high mortality rate during transplant compromise the viability and sustainability of the crop. An innovative solution is the nanopriming technique, an emerging and novel technology, which involves the imbibition of seeds for a specific period using mineral nanoparticles. The addition of micronutrients such as zinc and molybdenum has been used in seed germination and early seedling development due to their crucial roles. The aim of this study was to evaluate the effectiveness of using zinc–molybdenum nanopriming in jalapeño pepper on germination and early growth. The results showed that applying nanopriming (124–10 mg L−1 of zinc–molybdenum) promotes the effectiveness on the imbibition and germination of jalapeño pepper seeds, resulting in heavier seeds with a better initial absorption. This method not only improves germination rates and seedling vigor, but also points towards more sustainable and efficient agriculture. Building on these findings, the zinc–molybdenum nanopriming method could potentially transform jalapeño pepper cultivation by enhancing seed quality and resilience. Nanopriming could help increase crop yields and minimize reliance on chemical inputs, such as fertilizers and pesticides, which might reduce production costs and environmental impact.
Suitable Water–Fertilizer Management and Ozone Synergy Can Enhance Substrate-Based Lettuce Yield and Water–Fertilizer Use Efficiency
Authors: Zhao Qingqing , Guo Shulong , Feng Junjie , Li Dongwei , Yang Shenjiao , Zhou Xinguo
Published: July 2024

As living standards rise, enhancing quality has become a central objective for many researchers. Soilless cultivation, known for its efficient use of resources, is increasingly used in vegetable production. It is critical to develop effective water and fertilizer management strategies to achieve high-quality yields and promote sustainable development in modern agriculture. This study employed an orthogonal experimental design to assess the impact of varying nutrient solution concentrations (50%, 75%, 100%, and 125% of Hoagland’s), lower irrigation thresholds (40%, 55%, 70%, and 85% field capacity (FC)), and ozone concentrations (0, 1, 2, and 4 mg·L−1) on lettuce growth, yield, quality, and water–fertilizer use efficiency. The results indicated that fixed nutrient solution concentrations and lower irrigation thresholds enhanced growth metrics for lettuce. Similarly, increasing ozone concentrations initially improved, then reduced growth metrics when the lower irrigation threshold was constant. Furthermore, maintaining stable ozone concentrations while raising the nutrient solution concentration initially boosted, then diminished, growth indicators. Optimal conditions for water and fertilizer management were identified at a nutrient solution concentration of 75% to 100% and an ozone concentration of 0 to 1 mg·L−1. Variance analysis highlighted the significant effects of nutrient solution concentration, lower irrigation thresholds, and ozone concentrations on lettuce yield, quality, and water and fertilizer use efficiency. Range analysis revealed the optimal management combination to be a nutrient solution concentration of 100%, an 85% lower FC irrigation threshold, and an ozone concentration of 1 mg·L−1, yielding 16.82 t·ha−1 of lettuce and a water use efficiency of 40.14 kg·m−3. These findings provide theoretical support for the sustainable advancement of soilless cultivation in contemporary agriculture.
Toxoplasma gondii in Wild Boars (Sus scrofa) in Germany: Serological Screening from Thuringia
Authors: Rentería-Solís Zaida , Deutschmann Paul , Vahlenkamp Thomas W. , Heenemann Kristin
Published: July 2024

Game meat is an important source of meat borne parasitic infections. Due to its omnivorous diet, the wild boar is an important host of zoonotic parasites such as Toxoplasma gondii. T. gondii can cause severe to fatal disease in immunosuppressed patients, as well as congenital disorders in foetus and neonates. Consumption of undercooked infected meat is a main source of T. gondii infection. Information about the risk of toxoplasmosis through game meat is scarce. We collected serum samples from 42 wild boars from the federal state of Thuringia (Germany) between December 2017 and February 2018. Identification of anti-T. gondii IgG antibodies was conducted using a commercial indirect ELISA kit. Seropositivity was confirmed in 18 of the 42 samples (37.50%). From these, the highest seroprevalence was found in adult animals. This study joins another single database from wild boars in Brandenburg. The necessity of a country-wide database regarding T. gondii prevalence in wild boar and other game meat is pivotal for a profound risk analysis with its consequential impact in future mean hygiene policies.
Reproductive Capabilities of Female Nilgai (Boselaphus tragocamelus) in Southern Texas
Authors: Granger Megan M. , Hilton Clayton D. , Henke Scott E. , Perotto-Baldivieso Humberto L. , Schofield Landon R. , Campbell Tyler A.
Published: July 2024

Free-ranging nilgai antelope (Boselaphus tragocamelus) are an understudied species, both on their native ranges of India, Pakistan, and Nepal and on their introduced ranges in southern Texas. Basic data related to population sizes, survival, reproduction, and recruitment are needed throughout their range to inform management and conservation decisions. We collected nilgai fetuses from 3 ranches in southern Texas, including East Foundation’s El Sauz and Santa Rosa ranches, and the Norias Division of the King Ranch® from 2018–2021. We calculated the percentage of individuals that were pregnant in each of the sample years and overall. We determined monthly average, maximum, and minimum fetus length. Of 488 nilgai cows, we found 386 to be pregnant (79%) and 214 to be pregnant with twins (56%). We found nilgai cows as young as 1-year old to have fetuses and therefore to have reached sexual maturity. Sex ratios of fetuses during any sampling year did not differ. We found ample evidence supporting our hypothesis that nilgai are fecund on their introduced range of southern Texas. To prevent nilgai overpopulation and associated problems, harvest management strategies should be implemented, specifically on nilgai cows.
The Impact of a Digital Game-Based AI Chatbot on Students’ Academic Performance, Higher-Order Thinking, and Behavioral Patterns in an Information Technology Curriculum
Authors: Xu Yeqing , Zhu Jingdong , Wang Minkai , Qian Fang , Yang Yiling , Zhang Jie
Published: July 2024

In the age of intelligence, information technology (IT) education has become the focus of attention in the education sector. However, traditional teaching methods fall short in motivating students and fostering higher-order thinking and have difficulty providing a personalized learning experience. Although AI chatbots can provide instant feedback as an innovative teaching tool, it is still challenging to fully enhance learner engagement. Based on this, this study developed a digital game-based AI chatbot system to enhance students’ learning experience through digital game-based learning strategies. This study utilized a quasi-experimental design with the experimental group using a digital game-based AI chatbot and the control group using a traditional AI chatbot. A comparison was made between the two groups concerning student learning performance in IT courses, higher-order thinking (including problem-solving, computational thinking, and creativity), learning motivation, and flow experience. In addition, the behavioral patterns of high-achieving and low-achieving students in the experimental group were analyzed. The results showed that the experimental group was significantly better than the control group in academic performance, problem-solving, computational thinking, learning motivation, and flow experience, but there was no significant difference in creativity tendency. Behavioral pattern analysis showed that high-achieving students in the experimental group showed more systematic learning strategies, while low-achieving students relied more on immediate feedback and external help, but both high- and low-achieving groups were able to actively talk to the AI chatbot and actively explore problem-solving strategies in the digital game. Therefore, AI chatbots based on digital games can be effectively used in IT courses to help students construct knowledge and develop higher-order thinking.
Moisture Transport during Anomalous Climate Events in the La Plata Basin
Authors: Drumond Anita , de Oliveira Marina , Reboita Michelle Simões , Stojanovic Milica , Nunes Ana Maria Pereira , da Rocha Rosmeri Porfírio
Published: July 2024

This paper examines the linear relationship between climate events in the La Plata Basin (LP) from 1980 to 2018 and atmospheric moisture transport from major sources using a Lagrangian approach. The standardized precipitation evapotranspiration index (SPEI-1) was utilized to assess climate events, as monthly water balance variations may be related to changes in atmospheric moisture transport. A total of 49 dry and 46 wet events were identified through sequences of negative and positive SPEI-1 values, respectively. Lagrangian analysis tracked changes in moisture uptake and supply from sources to the LP during these events. Simple linear regression analysis revealed a relationship between moisture transport from the Amazonas (AM), North Atlantic (NA), and Tocantins (TO) basins and the severity and duration of climate events. Increased moisture supply from the São Francisco basin (SF) and Eastern Brazil oceanic (EBO) sources intensified the duration and severity of wet events. Peak wet events were linked to increased moisture supply from the northern South America basins (AM, NA, and TO), while peak droughts were related to decreased moisture uptake from eastern sources (TO, SF, and EBO). Our findings highlight how the water balance in distant regions affects the LP via moisture transport, emphasizing the need for interconnected adaptive strategies.
Phase-Locking of El Niño and La Niña Events in CMIP6 Models
Authors: Yan Yu , Sun De-Zheng
Published: July 2024

El Niño–Southern Oscillation (ENSO) usually peaks in the boreal winter—November to January of the following year. This particular feature of ENSO is known as the seasonal phase locking of ENSO. In this study, based on 34 climate models from the Coupled Model Intercomparison Project Phase 6 (CMIP6), the seasonal phase-locking characteristics of the model-simulated El Niño and La Niña events are evaluated in terms of the evolution of the SST anomalies associated with ENSO and the probability distribution of the peak month—the time at which ENSO peaks. It is found that CMIP6 models underestimate the phase-locking strength of ENSO for both El Niño and La Niña events. The ensemble mean peak month matches the observations, but the inter-model spread is large. The models simulate the phase locking of El Nino events better than that of La Niña events, and the large simulation bias of CMIP6 for La Niña phase-locking in the models may have an impact on the simulation of seasonal phase-locking in the ENSO.
Zonulin as Gatekeeper in Gut–Brain Axis: Dysregulation in Glioblastoma
Authors: Hagemeyer Hannah , Hellwinkel Olaf J. C. , Plata-Bello Julio
Published: July 2024

Novel biomarkers and therapeutic strategies for glioblastoma, the most common malignant brain tumor with an extremely unfavorable prognosis, are urgently needed. Recent studies revealed a significant upregulation of the protein zonulin in glioblastoma, which correlates with patient survival. Originally identified as pre-haptoglobin-2, zonulin modulates both the intestinal barrier and the blood–brain barrier by disassembling tight junctions. An association of zonulin with various neuroinflammatory diseases has been observed. It can be suggested that zonulin links a putative impairment of the gut–brain barrier with glioblastoma carcinogenesis, leading to an interaction of the gut microbiome, the immune system, and glioblastoma. We therefore propose three interconnected hypotheses: (I) elevated levels of zonulin in glioblastoma contribute to its aggressiveness; (II) upregulated (serum-) zonulin increases the permeability of the microbiota–gut–brain barrier; and (III) this creates a carcinogenic and immunosuppressive microenvironment preventing the host from an effective antitumor response. The role of zonulin in glioblastoma highlights a promising field of research that could yield diagnostic and therapeutic options for glioblastoma patients and other diseases with a disturbed microbiota–gut–brain barrier.
DNA Methylation in Autism Spectrum Disorders: Biomarker or Pharmacological Target?
Authors: Gholamalizadeh Hanieh , Amiri-Shahri Maedeh , Rasouli Fatemeh , Ansari Arina , Baradaran Rahimi Vafa , Reza Askari Vahid
Published: July 2024

Autism spectrum disorder (ASD) is a group of heterogeneous neurodevelopmental disabilities with persistent impairments in cognition, communication, and social behavior. Although environmental factors play a role in ASD etiopathogenesis, a growing body of evidence indicates that ASD is highly inherited. In the last two decades, the dramatic rise in the prevalence of ASD has interested researchers to explore the etiologic role of epigenetic marking and incredibly abnormal DNA methylation. This review aimed to explain the current understanding of the association between changes in DNA methylation signatures and ASD in patients or animal models. We reviewed studies reporting alterations in DNA methylation at specific genes as well as epigenome-wide association studies (EWASs). Finally, we hypothesized that specific changes in DNA methylation patterns could be considered a potential biomarker for ASD diagnosis and prognosis and even a target for pharmacological intervention.
The Impact of Empowering Leadership on Taking Charge Behaviors: Mediating Strengths Use and Moderating Ambition
Authors: Kong Lingnan , Liu Yang , Ding He , Liu Sha , Yu Shunkun
Published: July 2024

Drawing on conservation of resources theory, this study aims to explore the mediating role of employees’ strengths use and the moderating role of employees’ ambitions in the relationship between empowering leadership and employees’ taking charge behaviors. A total of 333 Chinese employees from various organizations across China (including industries such as manufacturing, IT, and education) completed our survey at two time points, with a two-week lag. We used structural equation modeling and moderated mediation path analysis to test our hypotheses. The research revealed that strengths use partially mediated the relationship between empowering leadership and employees’ taking charge behaviors, and ambition positively moderated the relationship between empowering leadership and strengths use, as well as the indirect relationship between empowering leadership and employees’ taking charge behaviors through strengths use. It extends the application field of strengths use, providing a new theoretical perspective on behavioral mechanisms for understanding the empowering leadership–employees’ taking charge behaviors relationship, and offers valuable strategies for organizations and leaders to promote employees’ taking charge behaviors more effectively.
Influence of Heat Treatment on the Mechanical Properties of Fine-Grained Granite under Dynamic Impact Loading
Authors: Tian Nuocheng , Hu Xiaoyong , Huang Kai , Chen Guolong , Kong Hongliang
Published: July 2024

In order to study the influence of heat treatment on the dynamic properties of fine-grained granite, an improved split Hopkinson pressure bar (SHPB) system was used to conduct impact compression tests on the granite specimens treated at 20~1000 °C under three loading rates. The experimental results show that the shape of the impact stress–strain curve is affected by the loading rate and heat treatment temperature. Under the same loading rate, the average strain rate, peak strain, and maximum strain of granite specimen exhibit a trend of “slow increasing (20~200 °C)—slow decreasing (200~400 °C)—slow increasing (400~500 °C)”. The peak stress and elastic modulus show the opposite trend. The average strain rate, peak strain, and maximum strain of the granite specimen treated at 600 °C increase significantly. The peak stress and elastic modulus decrease significantly. Within the heat treatment temperature range of 600~800 °C, the dynamic properties of granite deteriorate slowly. The average strain rate, peak strain, and maximum strain of the granite specimens treated at 900 °C and 1000 °C increase sharply, while the peak stress decreases sharply. Within the heat treatment temperature range of 600–1000 °C, the elastic modulus of the granite specimen shows an approximately linear decreasing trend. There are no changes in the mineral composition of granite within the heat treatment temperature range of 20–1000 °C. After heat treatment at 600 °C, the width of internal cracks in granite increases significantly. The width of internal cracks in the heat-treated granites at 900 °C and 1000 °C increases sharply. The change in the dynamic properties of granite is determined by the internal microstructure of the heat-treated granite at different temperatures.
Ontology for BIM-Based Robotic Navigation and Inspection Tasks
Authors: Bahreini Fardin , Nasrollahi Majid , Taher Alhusain , Hammad Amin
Published: July 2024

The availability of inspection robots in the construction and operation phases of buildings has led to expanding the scope of applications and increasing technological challenges. Furthermore, the building information modeling (BIM)-based approach for robotic inspection is expected to improve the inspection process as the BIM models contain accurate geometry and relevant information at different phases of the lifecycle of a building. Several studies have used BIM for navigation purposes. Also, some studies focused on developing a knowledge-based ontology to perform activities in a robotic environment (e.g., CRAM). However, the research in this area is still limited and fragmented, and there is a need to develop an integrated ontology to be used as a first step towards logic-based inspection. This paper aims to develop an ontology for BIM-based robotic navigation and inspection tasks (OBRNIT). This ontology can help system engineers involved in developing robotic inspection systems by identifying the different concepts and relationships between robotic inspection and navigation tasks based on BIM information. The developed ontology covers four main types of concepts: (1) robot concepts, (2) building concepts, (3) navigation task concepts, and (4) inspection task concepts. The ontology is developed using Protégé. The following steps are taken to reach the objectives: (1) the available literature is reviewed to identify the concepts, (2) the steps for developing OBRNIT are identified, (3) the basic components of the ontology are developed, and (4) the evaluation process is performed for the developed ontology. The semantic representation of OBRNIT was evaluated through a case study and a survey. The evaluation confirms that OBRNIT covers the domain’s concepts and relationships, and can be applied to develop robotic inspection systems. In a case study conducted in a building at Concordia University, OBRNIT was used to support an inspection robot in navigating to identify a ceiling leakage. Survey results from 33 experts indicate that 28.13% strongly agreed and 65.63% agreed on the usage of OBRNIT for the development of robotic navigation and inspection systems. This highlights its potential in enhancing inspection reliability and repeatability, addressing the complexity of interactions within the inspection environment, and supporting the development of more autonomous and efficient robotic inspection systems.
Transfer-Learning Prediction Model for Low-Cycle Fatigue Life of Bimetallic Steel Bars
Authors: Xue Xuanyi , Wang Fei , Wang Neng , Hua Jianmin , Deng Wenjie
Published: July 2024

The prediction of the low-cycle fatigue life of bimetallic steel bars (BSBs) is essential to promote the engineering application of BSBs. However, research on the low-cycle fatigue properties of BSB is limited, and fatigue experiments are time-consuming. Moreover, considering that sufficient data are needed for model training, the lack of data hinders the leverage of typical data-driven machine learning, which is widely used in fatigue life prediction. To address this issue, a transfer learning framework was suggested to accurately predict the low-cycle fatigue life of BSBs with limited data. To achieve this goal, 54 data points obtained from low-cycle fatigue tests on BSBs and 264 data points of other metallic bars were collected. Source models based on artificial neural networks (ANNs) were first constructed using the collected source dataset. Then, the learned knowledge stored in the source models was transferred to the transfer models. After that, transfer models were further fine-tuned and then tested using the target dataset of BSBs. The ANN models, which were of the same structure as the transfer models but only trained with the target dataset without transferring deep features from the source models, were set as baseline models. Compared with baseline models, the constructed transfer models could be used to accurately predict the fatigue life of BSBs. Moreover, the influence of hidden layers of ANNs on accuracy was examined by comparing one-layer and two-layer transfer models. Furthermore, the influence of key parameters on fatigue life of metallic bars was evaluated by feature analysis.
Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach
Authors: Nejatyan Esmaeil , Sarvari Hadi , Hosseini Seyed Abbas , Javanshir Hassan
Published: July 2024

This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current situation in mind. The respondents and the Delphi panel were chosen from among Iranian managers and project management professionals with a focus on building projects. These professionals had more than 20 years of experience working on international projects, and in addition to their expertise in project management, they also understood the principles of earned value analysis and value engineering. Thus, the components extracted from the literature review were used as the basis for designing a structured interview based on 39 important effective components previously determined as identified factors. The questionnaires were distributed among the experts, and the returned questionnaires were analysed using the SWARA technique to rank the weight and importance of the factors. Using the SWARA method, the opinions of the expert panel members consisting of 20 engineers and a semi-structured questionnaire was used to gather expertise in project management and managers, with a focus on Iranian CPM. As shown by the results, stakeholder management, time value of money, and worth, allocated the first to the third rank to themselves with respective weights of 0.104, 0.103, and 0.087. The sub-criteria of cost objective, function objective, and value objective were in the 37th to 39th ranks with respective weights of 0.00050, 0.00033, and 0.00021.
Correction: Santos et al. The Mitochondrial Antioxidant Sirtuin3 Cooperates with Lipid Metabolism to Safeguard Neurogenesis in Aging and Depression. Cells 2022, 11, 90
Authors: Santos Sónia , Moreira João , Costa Márcia , Rodrigues Rui , Sebastião Ana , Xapelli Sara , Solá Susana
Published: July 2024

In the original article [...]