bluuebunny/crossref_metadata_2025 huggingface dataset:
Vahagn: VisuAl Haptic Attention Gate Net for slip detection
Authors: Wang Jinlin , Ji Yulong , Yang Hongyu
Published: November 2024

Introduction

Slip detection is crucial for achieving stable grasping and subsequent operational tasks. A grasp action is a continuous process that requires information from multiple sources. The success of a specific grasping maneuver is contingent upon the confluence of two factors: the spatial accuracy of the contact and the stability of the continuous process.

Methods

In this paper, for the task of perceiving grasping results using visual-haptic information, we propose a new method for slip detection, which synergizes visual and haptic information from spatial-temporal dual dimensions. Specifically, the method takes as input a sequence of visual images from a first-person perspective and a sequence of haptic images from a gripper. Then, it extracts time-dependent features of the whole process and spatial features matching the importance of different parts with different attention mechanisms. Inspired by neurological studies, during the information fusion process, we adjusted temporal and spatial information from vision and haptic through a combination of two-step fusion and gate units.

Results and discussion

To validate the effectiveness of method, we compared it with traditional CNN net and models with attention. It is anticipated that our method achieves a classification accuracy of 93.59%, which is higher than that of previous works. Attention visualization is further presented to support the validity.
Nature and nurture in fruit fly hearing
Authors: Kamikouchi Azusa , Li Xiaodong
Published: November 2024

As for human language learning and birdsong acquisition, fruit flies adjust their auditory perception based on past sound experiences. This phenomenon is known as song preference learning in flies. Recent advancements in omics databases, such as the single-cell transcriptome and brain connectomes, have been integrated into traditional molecular genetics, making the fruit fly an outstanding model for studying the neural basis of “Nature and Nurture” in auditory perception and behaviors. This minireview aims to provide an overview of song preference in flies, including the nature of the phenomenon and its underlying neural mechanisms. Specifically, we focus on the neural circuitry involved in song preference learning, with which auditory experiences shape the song preference of flies. This shaping process depends on an integration hub that processes external sensory stimuli and internal states to enable flexible control of behavior. We also briefly review recent findings on the signals that feed into this integration hub, modulating song preference of flies in an experience-dependent manner.
Simulated synapse loss induces depression-like behaviors in deep reinforcement learning
Authors: Chalmers Eric , Duarte Santina , Al-Hejji Xena , Devoe Daniel , Gruber Aaron , McDonald Robert J.
Published: November 2024

Deep Reinforcement Learning is a branch of artificial intelligence that uses artificial neural networks to model reward-based learning as it occurs in biological agents. Here we modify a Deep Reinforcement Learning approach by imposing a suppressive effect on the connections between neurons in the artificial network—simulating the effect of dendritic spine loss as observed in major depressive disorder (MDD). Surprisingly, this simulated spine loss is sufficient to induce a variety of MDD-like behaviors in the artificially intelligent agent, including anhedonia, increased temporal discounting, avoidance, and an altered exploration/exploitation balance. Furthermore, simulating alternative and longstanding reward-processing-centric conceptions of MDD (dysfunction of the dopamine system, altered reward discounting, context-dependent learning rates, increased exploration) does not produce the same range of MDD-like behaviors. These results support a conceptual model of MDD as a reduction of brain connectivity (and thus information-processing capacity) rather than an imbalance in monoamines—though the computational model suggests a possible explanation for the dysfunction of dopamine systems in MDD. Reversing the spine-loss effect in our computational MDD model can lead to rescue of rewarding behavior under some conditions. This supports the search for treatments that increase plasticity and synaptogenesis, and the model suggests some implications for their effective administration.
Physiological signal analysis and open science using the Julia language and associated software
Authors: Datseris George , Zelko Jacob S.
Published: November 2024

In this mini review, we propose the use of the Julia programming language and its software as a strong candidate for reproducible, efficient, and sustainable physiological signal analysis. First, we highlight available software and Julia communities that provide top-of-the-class algorithms for all aspects of physiological signal processing despite the language’s relatively young age. Julia can significantly accelerate both research and software development due to its high-level interactive language and high-performance code generation. It is also particularly suited for open and reproducible science. Openness is supported and welcomed because the overwhelming majority of Julia software programs are open source and developed openly on public platforms, primarily through individual contributions. Such an environment increases the likelihood that an individual not (originally) associated with a software program would still be willing to contribute their code, further promoting code sharing and reuse. On the other hand, Julia’s exceptionally strong package manager and surrounding ecosystem make it easy to create self-contained, reproducible projects that can be instantly installed and run, irrespective of processor architecture or operating system.
The vestibular implant: effects of stimulation parameters on the electrically-evoked vestibulo-ocular reflex
Authors: van Boxel Stan C. J. , Vermorken Bernd L. , Volpe Benjamin , Guinand Nils , Perez-Fornos Angélica , Devocht Elke M. J. , van de Berg Raymond
Published: November 2024

Introduction

The vestibular implant is a neuroprosthesis which offers a potential treatment approach for patients suffering from vestibulopathy. Investigating the influence of electrical stimulation parameters is essential to improve the vestibular implant response. Optimization of the response focuses on the electrically evoked vestibulo-ocular reflex. It aims to facilitate high peak eye velocities and adequate alignment of the eye movement responses. In this study, the basic stimulation parameters of the vestibular implant were tested for their effect on the electrically evoked vestibulo-ocular reflex.

Methods

Four stimulation parameters, including the stimulation amplitude, phase duration, stimulus rate and speed of change of stimulation, were systematically tested in a cohort of nine subjects with a vestibulo-cochlear implant. These parameters were tested to evaluate their effect on fitting settings (i.e., threshold of activation, upper comfortable limit and dynamic range) as well as on the electrically evoked vestibulo-ocular reflex (peak eye velocity and alignment).

Results

It was confirmed that, in addition to current amplitude, the peak eye velocity of the response can be increased by increasing the phase duration and pulse rate. Both parameters have little effect on the alignment of the eye response. However, a longer phase duration decreased the range between the threshold of activation and the upper comfortable limit of the electrical stimulation (i.e., dynamic range). Furthermore, these results show that next to the amplitude of the stimulation, the speed of change in stimulation has a determinative positive effect on the peak eye velocity.

Conclusion

The observations in this study imply that the vestibular implant response, in terms of peak eye velocity, can be optimized with a higher pulse rate and longer phase duration. However, this comes at a trade-off between the dynamic range and power consumption. This study provides essential insights for fitting strategies in future vestibular implant care.
Knowledge, attitudes, and practices of oil and salt intake and related influencing factors in Southwestern China
Authors: Zhang Laixi , Xu Qi , Jiang Ke , Li Zhourong , Wen Yaqi , Hu Zhichuan , Xie Changxiao , Shi Zumin , Sharma Manoj , Zhao Yong
Published: November 2024

Objects

Excessive oil and salt consumption is a public health issue, notably in China where intakes surpass WHO guidelines. The present study aims to examine the knowledge, attitudes, and practices of Southwestern China residents regarding oil and salt and explore the influencing factors.

Methods

This study used convenience sampling to collect data from 7,367 participants aged 18–75 in the Sichuan, Chongqing, Yunnan, and Guizhou regions of China via on-site face-to-face surveys. Descriptive statistics and generalized linear models were used to analyses knowledge, attitudes, and practices about oil and salt intake and their influencing factors among residents of Southwestern China.

Results

In Southwestern China, residents of Guizhou Province exhibited poor KAP regarding oil and salt. There were urban–rural differences in Yunnan, Sichuan, and Chongqing, and residents living in towns and cities were the favored factors for KAP scores. Groups engaged in self-employment/sales and freelance were risk factors for KAP score. Individuals with higher education was a favorable factor for KAP score. In Yunnan, Sichuan, and Chongqing groups with preference of salty tastes were favorable factors in KAP score. Diabetic patients were more likely to score low on oil and salt-related KAP performance.

Conclusion

In Southwestern China, residents of Guizhou Province displayed poor results in their KAP regarding oil and salt. The region of the province, ethnicity, urban and rural residence, education, taste preference, and prevalence of chronic diseases were the influencing factors of oil and salt-related KAP scores.
Advances in sarcopenia and urologic disorders
Authors: Zhao Tonglei , Mao Weipu , Hu Mingjin , Yu Qingyang , Peng Xinyang , Ji Jie , Qiu Jianguo , Wu Jianping
Published: November 2024

Sarcopenia is a loss of muscle strength, muscle mass, and function that can increase a patient’s risk of injury, illness, and can even severely impair quality of life and increase a patient’s risk of death. A growing body of research suggests that sarcopenia and urinary tract disorders are closely related. In this review, we aimed to emphasize the definition of skeletal sarcopenia, summarize the methods used to diagnose skeletal sarcopenia, discuss the advances in the study of sarcopenia in benign diseases of the urinary system, discuss the advances in the study of sarcopenia in malignant diseases of the urinary system. Sarcopenia and urologic diseases interact with each other; urologic diseases cause sarcopenia, and sarcopenia aggravates the condition of the original disease, thus falling into a vicious circle. This review provides a comprehensive understanding of sarcopenia in urologic diseases, which is very important for the management and prognosis of urologic diseases.
Koji amazake produced by double saccharification contains more isomaltose and modifies the gut microbiota in mice
Authors: Murakami Aito , Saito Atsushi , Namai Fu , Fujii Tadashi , Tochio Takumi , Toida Jinichi , Shimosato Takeshi
Published: November 2024

Koji amazake, which is made from rice and rice koji (a product of Aspergillus oryzae), is a traditional Japanese beverage that has glucose as its main component. It also contains isomaltose, which has been reported to have various functionalities related to gut health. In the present study, we attempted to produce amazake with a higher concentration of isomaltose without using any additives by focusing on the saccharification step of rice koji production as a means of creating new value for amazake. Two types of rice koji that were obtained at different fermentation time points were used, and we changed the saccharification process from the usual one step of saccharification to two steps of saccharification using a different type of rice koji for each step. The amazake made by double saccharification (DSA) contained 20 times more isomaltose than the commercial amazake products. In an in vivo study, oral administration of the DSA modified the cecal microbiota in mice. Moreover, changes were seen in the abundances of several gut microorganisms, such as Anaerotignum lactatifermentans, Muribaculum intestinale, and Parabacteroides merdae. These findings indicate that our novel method may be useful for producing amazake with a high isomaltose content that may have health benefits in humans.
Efficacy of disitamab vedotin in non-small cell lung cancer with HER2 alterations: a multicenter, retrospective real-world study
Authors: Zhang Meiling , Wang Li , Wang Qian , Yang Jiu , Peng Wei , Li Xiaoyou , Shi Meiqi , Lu Kaihua
Published: November 2024

Background

Non-small cell lung cancer (NSCLC) with human epidermal growth factor receptor 2 (HER2) alterations poses a substantial treatment challenge. Current HER2-targeted therapies offer limited efficacy. Antibody-drug conjugates (ADCs) targeting HER2 have emerged as a promising therapeutic strategy. This study aimed to evaluate the clinical response to a novel ADC drug Disitamab vedotin (RC48) in advanced NSCLC with HER2 alterations.

Methods

This study conducted a retrospective review of patients harboring HER2 alterations treated with RC48 in the real world. Clinical outcomes were evaluated in terms of objective response rate (ORR), disease control rate (DCR), and progression-free survival (PFS).

Results

Out of 22 patients, 21 (95.5%) received RC48 combination therapy, while one received RC48 monotherapy. The ORR of all patients reached 45.5%, and the DCR stood at 90.9%. The median PFS (mPFS) was 7.5 months. Among patients receiving RC48 combination therapy, the ORR was 47.7%, and the mPFS of 8.1 months. The combination of RC48 with platinum+/- bevacizumab resulted in the highest ORR of 71.4% (5 out of 7 patients), with HER2 TKI following at a 50.0% ORR (4 out of 8 patients). First-line (1L) treatment with RC48 showed an ORR of 62.5% (5 out of 8 patients), second-line (2L) treatments had a 57.1% ORR (4 out of 7 patients), and beyond second-line (>2L) treatments exhibited a 14.3% ORR (1 out of 7 patients). Patients with 1L, 2L, or >2L treatment had a mPFS of 8.1 months, 7.2 months, and 7.4 months, respectively. Patients with HER2 mutations or amplifications, and those with concurrent mutations and amplifications at baseline, showed mPFS of 8.1 months, 9.4 months, and 7.4 months, respectively. The mPFS was significantly longer in patients with HER2 amplification. The most common adverse events included hand-foot syndrome (54.5%), asthenia (50.0%), decreased white blood cell count (45.5%), and liver impairment (45.5%). Grade 3 adverse events occurred in one (4.5%) patient.

Conclusion

RC48, particularly in combination regimens, demonstrates promising efficacy in advanced NSCLC with HER2 alterations. These findings underscore the need for further research to validate RC48’s application in clinical practice.
Berberine ameliorates septic cardiomyopathy through protecting mitochondria and upregulating Notch1 signaling in cardiomyocytes
Authors: Shen Qi , Yuan Yufan , Li Zelin , Ling Ying , Wang Jian , Gao Mingjing , Wang Peng , Li Mengli , Lai Lizhong , Jin Jinlan
Published: November 2024

Introduction

Septic cardiomyopathy (SCM) arises as a consequence of sepsis-associated cardiovascular dysfunction, for which there is currently no specific targeted therapy available. Previous studies have demonstrated the beneficial therapeutic effect of berberine (BBR) on SCM; however, the underlying mechanisms of action remain unclear. The objective of this is to elucidate how BBR alleviates SCM.

Methods

Septic cardiomyopathy rat model was established by performing cecal ligation and puncture (CLP), while a cardiomyocyte injury model was provoked in H9C2 cells using lipopolysaccharide (LPS). Cardiac function was assessed through echocardiography, and myocardial histopathology was examined with hematoxylin-eosin (HE) staining. Cardiomyocyte viability was determined through Cell Counting Kit-8 (CCK8) assay, and measurement of ATP levels was done with an ATP assay kit. Mitochondrial ultrastructure was observed using transmission electron microscopy. Real-time polymerase chain reaction (RT-PCR) and Western blotting were employed to analyze the expression of Notch1 signaling pathway components and downstream molecules in myocardial tissues and cells.

Result

In vivo, BBR markedly improved symptoms and cardiac function in SCM rats, leading to enhanced ATP content, and ameliorated mitochondrial structure. Additionally, BBR increased Notch1 protein expression in myocardial tissue of the rats. In vitro, BBR elevated the survival rates of H9C2 cell, improved mitochondrial morphology, and raised ATP levels. The mRNA expression of Notch1, Hes1, and Hes2, and Notch1 protein expression was upregulated by BBR. While these effects were reversed upon inhibiting the Notch1 signaling pathway.

Conclusion

BBR improves septic cardiomyopathy by modulating Notch1 signaling to protect myocardial mitochondria.
Identification of the serum metabolomic profile for acute ischemic preconditioning in athletes
Authors: Ou Ziyue , Yang Liang , Xu Mingxin , Weng Xiquan , Xu Guoqin
Published: November 2024

Purpose

In recent years, ischemic preconditioning (IPC) has emerged as an effective strategy to increase tissue resistance against long-term ischemic damage and has been increasingly integrated into exercise regimens. However, further research is needed to explore the impact of IPC-mediated metabolic alterations from an exercise standpoint to conduct a comprehensive exploration of metabolic alterations and their exercise-related mechanisms during acute IPC.

Methods

Nontarget metabolomics was performed on blood samples obtained from 8 male athletes both before and after IPC. The studies included the identification of differentially abundant metabolites, analysis of receiver operating characteristic (ROC) curves, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis for differentially abundant metabolites, and metabolite set enrichment analysis (MSEA).

Results

Nineteen differentially abundant metabolites were identified, with increasing levels of five metabolites, such as O-desmethyltramadol and D-gluconate, whereas 14 metabolites, including 9-hydroxy-10e, 12z-octadecadienoic acid (9-HODE), tetradione, 2-hexenal, (2,4-dichlorophenoxy)acetic acid (2,4-D), and phosphatidylserine (PS), decreased. ROC curve analysis revealed an AUC of 0.9375 for D-gluconate. Both KEGG enrichment analysis and MSEA revealed enrichment in the pentose phosphate pathway (PPP).

Conclusion

This study revealed that PPP, D-gluconate, O-desmethyltramadol, and D-2-aminobutyric acid could be upregulated within 5 min after acute IPC, whereas 2,4-D, PS, 9-HODE, 2-hexenal, and tetradinone could be downregulated. These identified metabolites show promise for improving physical functional status and could be harnessed to enhance athletic performance.
Immunity priming and biostimulation by airborne nonanal increase yield of field-grown common bean plants
Authors: Elizarraraz-Martínez Iris J. , Rojas-Raya Mariana A. , Feregrino-Pérez Ana A. , Partida-Martínez Laila P. , Heil Martin
Published: November 2024

Introduction

Stress-induced volatile organic compounds (VOCs) that induce plant immunity bear potential for biocontrol. Here, we explore the potential of nonanal to enhance the seed yield of common bean (Phaseolus vulgaris) under open field conditions that are realistic for smallholder farmers.

Methods and results

Using plastic cups with a nonanal-containing lanolin paste as low-cost dispensers, we observed that exposure of Flor de Junio Marcela (FJM) plants over 48h to airborne nonanal was followed by a 3-fold higher expression of pathogenesis-related (PR) genes PR1 and PR4. Both genes further increased their expression in response to subsequent challenge with the fungal pathogen Colletotrichum lindemuthianum. Therefore, we conclude that nonanal causes resistance gene priming. This effect was associated with ca. 2.5-fold lower infection rates and a 2-fold higher seed yield. Offspring of nonanal-exposed FJM plants exhibited a 10% higher emergence rate and a priming of PR1- and PR4-expression, which was associated with decreased infection by C. lindemuthianum and, ultimately, a ca. 3-fold increase in seed yield by anthracnose-infected offspring of nonanal-exposed plants. Seeds of nonanal-exposed and of challenged plants contained significantly more phenolic compounds (increase by ca 40%) and increased antioxidant and radical scavenging activity. Comparative studies including five widely used bean cultivars revealed 2-fold to 3-fold higher seed yield for nonanal-exposed plants. Finally, a cost-benefit analysis indicated a potential economic net profit of nonanal exposure for some, but not all cultivars.

Outlook

We consider nonanal as a promising candidate for an affordable tool that allows low-income smallholder farmers to increase the yield of an important staple-crop without using pesticides
The alteration of interspecific interaction responded to various relative sowing time in wheat/maize intercropping
Authors: Sun Jun-Wei , Zhu Ying-An , Pang Yu , Liu Chen-Xi , Sun Jian-Hao , Zhang Wei-Ping , Li Long , Liu Yi-Xiang
Published: November 2024

Introduction

An interspecific interaction is an important reason for the yield advantage of interspecific cropping compared with sole cropping, and the relative sowing time of species is an important factor affecting interspecific competitiveness. Our purpose was to explore the effects of different relative sowing times on the interspecific competition-recovery phenomenon in wheat and maize intercropping systems.

Methods

Three planting methods (wheat/maize intercropping, wheat and maize sole cropping) and different relative sowing times of wheat were used to carry out field experiments over two years. Sequential harvest of subplots was performed between 3 and 6 times, and the biomass data were fitted to logistic growth model.

Results

Delaying the sowing time of wheat reduced the wheat yield, biomass and nutrient acquisition and increased those of maize, but wheat still had an intercropping advantage during the co-growth period. At the same time, the nutrient acquisition of maize was still inhibited, but its recovery growth advanced. Changing the relative sowing time of wheat significantly changed the maximum instantaneous growth rates of wheat and maize. Delaying the relative sowing time of wheat significantly reduced its maximum instantaneous growth rate, while enhancing that of maize, leading to a balanced mutual benefit.

Conclusions

Delaying the sowing time of wheat to the same sowing time as maize will change wheat/maize intercropping from asymmetrical interspecific facilitation to symmetrical interspecific facilitation. However, in this case, intercropped wheat still had an interspecific competitive advantage in the co-growth stage, and intercropped maize still underwent a competition-recovery process.
Engaging in cyber hygiene: the role of thoughtful decision-making and informational interventions
Authors: Howell Christian , Maimon David , Muniz Caitlyn , Kamar Eden , Berenblum Tamar
Published: November 2024

Introduction

The effectiveness of human-centric cybersecurity largely depends on end-users’ adherence to security and privacy behaviors. Understanding and predicting variations in the adoption of these safeguards is crucial for both theoretical advancement and practical application. While existing frameworks are often adapted from health science literature, there is potential to enhance these models by incorporating criminological constructs relevant to online victimization. This study introduce rational choice theory of thoughtfully reflective decision-making (TRDM) into the information security domain. TRDM suggests that variations in cognitive decision-making capabilities influence behavioral outcomes, particularly in the context of security and privacy practices.

Methods

The study employed a field experiment to test the applicability of TRDM in predicting end-users’ engagement in security and privacy behaviors. Participants were exposed to security-related warnings, with the hypothesis that thoughtfully reflective decision-makers would be more likely to adopt robust protective behaviors. Data was collected on participants’ responses to these security warnings, as well as their overall adherence to privacy and security practices.

Results

The findings support the theoretical framework: individuals exhibiting thoughtfully reflective decision-making tendencies demonstrated a higher likelihood of engaging in privacy and security behaviors. Specifically, participants with higher TRDM scores were more likely to adopt protective behaviors when warned of the consequences of non-compliance. These results indicate that cognitive decision-making capabilities significantly influence the likelihood of engaging in cybersecurity practices.

Discussion

The study challenges the prevailing one-size-fits-all approach to cybersecurity by highlighting the importance of individual differences in cognitive decision-making. Thoughtfully reflective decision-makers are better equipped to adopt preventive security measures, suggesting the need for more tailored interventions in cybersecurity education and risk assessment. This research contributes to the development of sophisticated risk assessment tools aimed at mitigating vulnerabilities and reducing users’ susceptibility to digital threats. Incorporating TRDM into information security models provides a more nuanced understanding of user behavior, offering insights into how cognitive processes influence cybersecurity adherence.
Professional agency in the classroom and burnout among early career teachers in China
Authors: E Liyuan , Toom Auli , Pietarinen Janne , Soini Tiina , Haverinen Kaisa , Pyhältö Kirsi
Published: November 2024

The aim of the present study is to investigate early career teachers’ professional agency in the classroom. In addition, the association between early career teachers’ professional agency in the classroom and the burnout they experienced was examined. In this study, 779 early career teachers, teaching in primary and junior secondary schools in China, responded to the study survey in 2021. The Mplus statistical package (version 8.4) was used to conduct the analysis and the data were analyzed using structural equation modeling. The results indicated that early career teachers’ professional agency in the classroom consists of three elements: motivation, self-efficacy beliefs, and skills to manage new learning, which entails building a collaborative environment by transforming teaching practices and reflection in the classroom. The results also showed that early career teachers’ professional agency in the classroom was negatively related to their burnout.
Validation and efficacy of a tele-yoga intervention for improving psychological stress, mental health and sleep difficulties of stressed adults diagnosed with long COVID: a prospective, multi-center, open-label single-arm study
Authors: Bhargav Hemant , Raghavan Vijaya , Rao Naren P. , Gulati Kankan , Binumon Kodikuthiyel Vijayan , Anu K. N. , Ravi Sridhar , Jasti Nishitha , Holla Bharath , Varambally Shivarama , Ramachandran Padmavati
Published: November 2024

The objective of this study was to validate and test the efficacy of a 16-week tele-yoga intervention for perceived stress, anxiety, depression, and insomnia in individuals who had had COVID-19 infection in the previous year, and had reported moderately high levels of psychological stress (PSS ≥14). 25 and 50-min versions of the program were developed. They were then validated using Lawshe’s content validity ratio after obtaining feedback from 20 yoga therapy experts. The safety and efficacy of the two programs were subsequently tested in a prospective, multicenter, open-label single-arm study. Eighty-six adults (18 male, 68 female) were recruited from two tertiary mental healthcare institutions, 48 in NIMHANS, Bengaluru; and 38 in SCARF, Chennai. Participants were assessed at weeks zero, 4, and 16 using validated tools. Data were analyzed using a Mixed Model, Intention to Treat approach. After week 16, 31 subjects remained in the trial and continued to practice yoga without any side effects. Subjects who adhered in the trial had significantly higher levels of baseline anxiety and depression as compared to subjects who dropped out. Results at week 4 included significant reductions in levels of perceived stress, anxiety, and insomnia; improvements were maintained at week 16. Correlations between number of yoga sessions and post-intervention PSS scores were negative (r = −0.49), and significant (p<  0.05). Both tele-yoga programs proved safe, useful tools to counteract perceived stress, anxiety and insomnia. Future trials should explore the utility of tele-yoga as a tool to enhance well-being and manage stress.
Antecedents and consequences of academic help-seeking in online STEM learning
Authors: Won Sungjun , Chang Yujin
Published: November 2024

Introduction

College students often encounter challenges or ambiguity in online learning, which they cannot overcome independently, and therefore, require help. However, relatively little is known about how academic help-seeking can be supported in online contexts and about its potential benefits. The present study investigated the role of academic help-seeking in online STEM learning and its contextual antecedents.

Methods

A total of 213 college students, enrolled in an introductory Engineering course, completed an online survey. Their survey responses and academic record data were analyzed.

Results

Results of path analysis indicated that adaptive help-seeking was positively related to retention intention, whereas expedient help-seeking was negatively related to the choice of future courses. In addition, avoidant help-seeking was negatively related to retention intention and major declaration status and positively to disorganized studying. Results also showed that sense of belonging and environmental fixed mindset served as significant predictors of academic help-seeking.

Discussion

Findings indicate that academic help-seeking is related to successful online STEM learning. Therefore, fostering online learning contexts in which students perceive more sense of belonging and less environmental fixed mindset is crucial.
Prediction of borderline personality disorder based on childhood trauma with the mediating role of experiential avoidance
Authors: Jiang Boliang
Published: November 2024

Introduction

Traits of borderline personality disorder are important for the determination of the prognosis of mental illnesses and in evaluating risks of negativity as well as impulsivity. But, there is a lack of information about the distribution characteristics of borderline personality disorder traits and symptoms within clinical groups. The goal of the current study was to predict borderline personality disorder based on childhood trauma, using experiential avoidance as a mediator.

Methods

All male patients hospitalized in local psychiatric health centers with a diagnosis of borderline personality disorder comprised the statistical population of the current study. The number of 60 patients were selected by the purposeful sampling method. The questionnaire included the Childhood Trauma Questionnaire (CTQ), the Experiential Avoidance Questionnaire (AAQ-II), and the Borderline Personality Disorder Symptoms (BSL-23).

Results and discussion

The results demonstrated that there is a considerable and positive relationship between childhood trauma and experiential avoidance (r = 0.711, p< 0.01). In the mediating model, childhood trauma had significant direct predictive effects on borderline personality disorder (β = 0.546, p< 0.01). Also, between childhood trauma and BPD, experienced avoidance acts as a moderating factor. (β = 0.304, p< 0.01).
Aggression in online gaming: the role of online disinhibition, social dominance orientation, moral disengagement and gender traits among Chinese university students
Authors: Gan Wenxuan , Chen Zichao , Wu Zhusheng , Huang Xia , Wang Fang
Published: November 2024

Introduction

Aggressive behaviors in the online gaming world are frequent and have far-reaching negative effects.

Method

To explore the factors and mechanisms of aggressive in games, we surveyed 945 university students using a framework of social dominance orientation, online disinhibition, moral disengagement, and aggression in gaming, and examined the moderating role of gender traits.

Results

We found no direct relationship between online disinhibition and aggression in gaming; however, through the mediating role of moral disengagement, online disinhibition indirectly affected aggression in gaming behavior and enhanced social dominance orientation. Social dominance orientation predicted both moral disengagement and aggression in gaming behaviors, and the mediating effect of moral disengagement was confirmed through the indirect influence of moral disengagement on aggression in gaming behavior. Moreover, the moral disengagement mechanism significantly predicted aggression in gaming behavior. Furthermore, femininity and androgyny moderated both social dominance orientation toward moral disengagement and aggression in gaming, while masculinity and androgyny moderated the path from online disinhibition to social dominance orientation. Regarding the path from moral disengagement to aggression, all gender trait moderations were significant.

Discussion

This study reveals the role of the moral disengagement mechanism in the process of game-related aggression, providing theoretical support for the explanation of aggressive behavior, which applies to players of any gender. Moreover, this study confirms the moderating role of gender. Unlike biological sex, gender traits are malleable; androgynous traits offer greater adaptability in various environments. Thus, prevention and intervention efforts against online aggression should include strengthening moral education and properly guiding and fostering androgynous gender traits.
Type II diabetes and cognitive function among older adults in India and China—results from Harmonized Cognitive Assessment Protocol studies
Authors: Srikantha Subidsa , Manne-Goehler Jennifer , Kobayashi Lindsay C. , Flood David , Koton Silvia , Gross Alden L.
Published: November 2024

Objective

Type II diabetes is a recognized risk factor of declining cognitive function in high-income countries. However, there is limited research on this association across low- and middle-income countries. We aimed to examine and compare the relationship between type II diabetes and cognition amongst adults aged 60 years and older for two of the largest LMICs: India and China.

Methods

Cross-sectional data was analyzed from population-based Harmonized Cognitive Assessment Protocols studies in India (n = 4,062) and China (n = 9,741). Multivariable-adjusted linear regression models examined the relationship between diabetes (self-reported or biomarker HbA1c ≥6.5%) and general cognition. Interaction testing assessed effect modification based on urban versus rural residence and educational attainment.

Results

Type II diabetes was not associated with general cognitive scores in India or China in fully adjusted models. Interaction testing revealed a positive association in rural but not urban residences in India, however this was not seen in China. Both countries showed effect modification by education attainment. In India, diabetes was associated with higher average cognitive scores among those with none or early childhood education, while the relationship was null among those with at least an upper secondary education. In China, diabetes was inversely related to average cognitive scores among those with less than lower secondary education, while the relationship was null among the remainder of the study sample.

Conclusion

The type II diabetes and cognitive function association in India and China differs from that observed in high-income countries. These findings suggest epidemiologic and nutrition transition variations. In India, health care access, urbanization and social differences between urban and rural areas may influence this relationship. In both countries, epidemiologic and nutrition patterns may adversely impact individuals from socially and financially vulnerable populations with less than lower secondary education. Longitudinal research using harmonized cognitive scores is encouraged to further investigate these findings.
Inpainting of damaged temple murals using edge- and line-guided diffusion patch GAN
Authors: Sumathi G. , Uma Devi M.
Published: November 2024

Mural paintings are vital cultural expressions, enriching our lives by beautifying spaces, conveying messages, telling stories, and evoking emotions. Ancient temple murals degrade over time due to natural aging, physical damage, etc. Preserving these cultural treasures is challenging. Image inpainting is often used for digital restoration, but existing methods typically overlook naturally degraded areas, using randomly generated binary masks or small, narrow regions for repair. This study proposes a novel architecture to reconstruct large areas of naturally degraded murals, maintaining intrinsic details, avoiding color bias, and preserving artistic excellence. The architecture integrates generative adversarial networks (GANs) and the diffusion model, including a whole structure formation network (WSFN), a semantic color network (SCN), and a diffusion mixture distribution (DIMD) discriminator. The WSFN uses the original image, a line drawing, and an edge map to capture mural details, which are then texturally inpainted in the SCN using gated convolution for enhanced results. Special attention is given to globally extending the receptive field for large-area inpainting. The model is evaluated using custom-degraded mural images collected from Tamil Nadu temples. Quantitative analysis showed superior results than state-of-the-art methods, with SSIM, MSE, PSNR, and LPIPS values of 0.8853, 0.0021, 29.8826, and 0.0426, respectively.
From jobs to careers: drivers and barriers to career development in emerging labor markets
Authors: Luwei Wang , Huimin Ma
Published: November 2024

Introduction

This study aims to reveal the intrinsic and extrinsic drivers of career development in emerging labor markets and to explore the impact of these drivers and barriers on career development. With the rapid transformation of global industrial structure, career development in emerging industries such as artificial intelligence, big data, new energy and e-commerce is gradually attracting attention.

Methods

This study utilizes a mixed research method of questionnaires and in-depth interviews. The research team distributed a total of 700 questionnaires to practitioners in China, the United States, Japan, Germany and India, and collected interview data from 20 industry practitioners. These data were analyzed from both quantitative and qualitative perspectives to analyze the drivers and barriers to career development, and structural equation modeling was used to analyze the relationship between career motivation, barriers, social networks, and career satisfaction.

Results

The results indicate that career development motivation significantly and positively influences career satisfaction, while individuals with high career satisfaction perceive fewer career barriers. In addition, career barriers significantly influenced individuals’ perceptions of career discrimination. The study also found that social networks play an important supportive role in career development, and that extensive social networks increase career satisfaction. Individuals with high motivation were more resilient in the face of external barriers and were willing to retrain to improve their occupational skills.

Discussion

To promote career development in emerging industries, labor market policies should optimize and create fair and inclusive work environments for emerging industries. By eliminating gender, age, and racial discrimination and providing employee support programs, career development satisfaction and opportunities can be effectively enhanced.

Conclusion

Rapid technological updates, high work pressure, and cross-cultural barriers in emerging industries are the main challenges to career development today. This study suggests that governments and enterprises should jointly provide flexible vocational training and support policies to help practitioners adapt to the rapidly changing occupational environment.
Ureteroinguinal hernia: an added advantage for laparoscopy in the management of inguinal hernia—a case report
Authors: Zain Mostafa , Kasem Ossama , Gamal Mohamed , Tayel Ahmed , Abouheba Mohamed
Published: November 2024

Different abdominal organs can herniate into the inguinal canal, including the small bowel, colon, appendix, ovaries, and, less commonly, the urinary bladder and fallopian tubes. Herniation of the ureter within an inguinal hernia is a very rare occurrence. To the best of our knowledge, less than 150 cases have been reported in the literature, including only 15 pediatric cases. A 3-month-old boy presented to our clinic with a left inguinal swelling. Ultrasound of the abdomen and pelvis showed grade 4 left hydronephrosis with a dilated tortuous ureter passing through the left inguinal canal. Further investigation revealed that the patient had a left primary obstructing megaureter with a ureteroinguinal hernia. The case was managed with laparoscopic repair of the inguinal hernia and urethrostomy. The current case proves an additional advantage for laparoscopy as it allows proper visualization of the anatomy and identification of atypical hernias, such as ureteroinguinal hernia.
Compare three deep learning-based artificial intelligence models for classification of calcified lumbar disc herniation: a multicenter diagnostic study
Authors: Liu Zhiming , Zhang Hao , Zhang Min , Qu Changpeng , Li Lei , Sun Yihao , Ma Xuexiao
Published: November 2024

Objective

To develop and validate an artificial intelligence diagnostic model for identifying calcified lumbar disc herniation based on lateral lumbar magnetic resonance imaging(MRI).

Methods

During the period from January 2019 to March 2024, patients meeting the inclusion criteria were collected. All patients had undergone both lumbar spine MRI and computed tomography(CT) examinations, with regions of interest (ROI) clearly marked on the lumbar sagittal MRI images. The participants were then divided into separate sets for training, testing, and external validation. Ultimately, we developed a deep learning model using the ResNet-34 algorithm model and evaluated its diagnostic efficacy.

Results

A total of 1,224 eligible patients were included in this study, consisting of 610 males and 614 females, with an average age of 53.34 ± 10.61 years. Notably, the test datasets displayed an impressive classification accuracy rate of 91.67%, whereas the external validation datasets achieved a classification accuracy rate of 88.76%. Among the test datasets, the ResNet34 model outperformed other models, yielding the highest area under the curve (AUC) of 0.96 (95% CI: 0.93, 0.99). Additionally, the ResNet34 model also exhibited superior performance in the external validation datasets, exhibiting an AUC of 0.88 (95% CI: 0.80, 0.93).

Conclusion

In this study, we established a deep learning model with excellent performance in identifying calcified intervertebral discs, thereby offering a valuable and efficient diagnostic tool for clinical surgeons.
Determining the appropriate concentration of an anesthetic mixture in three different fish species with the PROMETHEE decision model
Authors: Minaz Mert , Er Akif , Ak Kübra , Kurtoğlu İlker Zeki , Kayış Şevki
Published: November 2024

Anesthesia is applied to protect fish welfare for reducing employee workload in aquaculture. The efficacy of the anesthetic agent varies depending on the fish species. In this study, the effect of a commercial anesthetic (VetiVital AquaSED) manufactured mainly with herbal extracts (includes eugenol, linalool, linalyl acetat etc.) on three different fish species (rainbow trout, common carp, and Danube sturgeon) was investigated. In addition, the best available concentration of the anesthetic mixture for each species was determined using the PROMETHEE decision model. Danube sturgeon showed more resistance to anesthetics than the other two species. It was determined that the increase in concentration caused histological deterioration in fish. On the other hand, hematological parameters were affected by the anesthetic mixture, and this effect returned to normal levels after 8 h. According to the multi-criteria decision model, the best available concentrations determined by considering 10 different criteria are 400, 480, and 675 mg L−1 for rainbow trout, common carp and Danube sturgeon, respectively. Future studies should focus on developing the most appropriate anesthesia mixture in terms of physiological and anesthesia effectiveness for the target fish species.
High-Involvement Human Resource Management Practices and Employee Resilience: The Mediating Role of Employee Technology Adaptation—A Case Study of South Sumatra
Authors: Cahyadi Afriyadi , Marwa Taufiq , Poór József , Maulana Ahmad , Szabó Katalin
Published: November 2024

In the post-COVID-19 era, the need for a resilient workforce to maintain a competitive advantage has become increasingly critical. Despite advancements, there is a research gap in understanding how employee resilience is influenced by high-involvement human resource management practices and employee technology adaptation. This study addresses this gap by developing and empirically testing a mediation model linking to employee technology adaptation and resilience. Theoretical frameworks include the resource-based view, human co-adaptation, and positive organizational behavior. A cross-sectional survey of 322 employees from small and medium enterprises in South Sumatra was conducted. Structural equation modeling was used to analyze the mediating role of employee technology adaptation in the relationship between high-involvement human resource management practices and employee resilience. The results indicate that high-involvement human resource management practices positively affects both technology adaptation and resilience. Employee technology adaptation partially mediates this relationship. The findings offer practical insights for human resource managers, suggesting that fostering technology adaptation through high-involvement human resource management practices can enhance employee resilience. This study concludes with a discussion on the theoretical and practical implications contributing to the development of small and medium enterprises in the digital era post COVID-19.