bluuebunny/crossref_metadata_2025 huggingface dataset:
Validation of Hamdan intelligence scale in upper elementary grades using the Rasch model: exploratory study
Authors: Ayoub Alaa Eldin A. , Aljughaiman Abdullah M. , Alghawi Mariam A. , Morsy Ahmed , Omara Ehab M. N. , Abdulla Alabbasi Ahmed M. , Renzulli Joseph S.
Published: August 2024

Hamdan Intelligence Scale (HIS) is the first intelligence scale that has been developed and normed in the United Arab Emirates (UAE). This study aimed to examine the refinement, validity, and reliability of HIS in upper elementary grades using the Rasch model. A total of 4,301 students (34.3% Male; 65.7% Female) from grade 4 to 6 (32.1% grade 4; 33.7% grade 5; 34.2% grade 6) were administered to the HIS. The confirmatory factor analysis was first conducted to verify the fitness of the one-factor model of the HIS. The results of validity showed strong correlation coefficients between the HIS and the Aurora-g battery (0.83) and the Raven’s Standard Progressive Matrices (RSPM; 0.86). Moreover, the results of the developmental trends demonstrated that raw scores of the HIS increase with age and grade relatively constantly across composite scores. Unidimensionality was confirmed through the Confirmatory Factor Analysis and Principal Component Analysis of Residuals (PCAR). The low eigenvalues of the first contrast were below 2, and additionally, the infit and outfit mean squares ranged from 0.88 to 1.14 and 0.84 to 1.14. Rasch’s person reliability result of 0.62 was acceptable reliability. The results provided strong support for the validity and reliability of using the Hamdan Intelligence Scale in the UAE environment.
Coping, connection appraisal, and well-being during COVID-19 in the U.S., Japan, and Mexico
Authors: Benjamin Laurel R. , Wang Shu-wen
Published: August 2024

Introduction

The COVID-19 pandemic has affected nearly every facet of life, constituting a “new normal” and prompting an ongoing collective psychological crisis. People’s ways of coping with the pandemic and corresponding well-being are of particular research interest; however, these constructs have largely been examined using deductive quantitative approaches, deficit-based lenses, and mononational samples.

Methods

The current mixed-methods study used inductive-sequential (QUAL → QUAN) approaches to explore positive coping strategies (approach coping style and COVID-related connection appraisal) and well-being (loneliness, distress, and happiness) across individuals from the United States, Japan, and Mexico. Qualitative data were gathered from N = 141 U.S., Japanese, and Mexican adults to examine how people perceived connection during the pandemic.

Results

Qualitative analyses illuminated common themes in which people appraised the pandemic as an opportunity for connection and strengthened interpersonal relationships. Quantitative measures, including a newly-developed questionnaire on COVID-related connection appraisal, were then administered to a separate sample of N = 302 adults in the U.S, Japan, and Mexico to assess associations among approach coping style, COVID-related connection appraisal, and well-being outcomes (loneliness, distress, happiness). Quantitative analyses found significant associations among approach coping style, COVID-related connection appraisal, and all well-being outcomes. Of note, these associations did not differ by country. COVID-related connection appraisal mediated the relationship between approach coping style and two well-being outcomes (loneliness and happiness).

Discussion

Findings point to approach coping style and connection appraisal as pathways for resilience and growth in the face of global suffering.
The impact of alcohol consumption on the relationship between depression and chronic diarrhea: a cross-sectional study analysis on NHANES (2005-2010)
Authors: Wang Yongsen , Li Xiaotong , Cao Zhiqun , Zhou Yongkun
Published: August 2024

Background

Alcohol consumption, depression, and chronic diarrhea are all public health issues of concern, with irreversible consequences for individual health and significant economic burdens on health care systems. Previous studies have shown that depression increases the risk of developing chronic diarrhea, but few studies have explored whether alcohol consumption has an effect on the relationship between depression and chronic diarrhea.

Objective

To explore the effect of alcohol consumption on the relationship between depression and chronic diarrhea.

Methods

12,538 adults (≥20 years) in NHANES from 2005-2010 were analyzed. Participants were stratified according to drinking status, and differences between the risk of depression and chronic diarrhea among participants who drank alcohol or not were assessed using multiple regression analysis and likelihood ratio tests.

Results

In this cross sectional, after adding possible confounders, the prevalence of depression with chronic diarrhea was higher in the drinking population than in the non-drinking population (OR,2.34, 95%CI:1.84-2.98 and 1.26, 95%CI:0.85-1.86), with a likelihood ratio test of P=0.024.

Conclusion

Our findings suggest that there is a significant association between depression and chronic diarrhea and that alcohol consumption may increase the correlation between depression and chronic diarrhea. However, these findings require further prospective studies to provide more evidence.
Ectopic pregnancy, its potential links to dementia risk and interactions with depression: insights from a nationwide cohort study
Authors: Yao Chia-Yi , Chung Chi-Hsiang , Chien Wu-Chien , Li Sung-Tao , Lee Siou-Ting , Huang Chih-Chung , Yang Chuan-Chi , Tzeng Nian-Sheng
Published: August 2024

Background

Dementia poses a growing global mental health impact, with variations in prevalence by gender, possibly influenced by reproductive factors. Ectopic pregnancy (EP), known for its association with cardiovascular diseases and depression, which are also predictors of dementia, prompted an exploration of their interplay.

Methods

Using Taiwan’s National Health Insurance Research Database, this nationwide cohort study examined 53,096 individuals to investigate the link between EP and dementia. Covariates included age, insured premiums, comorbidity by Charlson Comorbidity Index revised by excluding dementia, level of care, and residence. Surgical approaches, number of EP episodes, and dementia subtypes were considered in outcomes analysis using Cox regression.

Results

Among 13,274 women diagnosed with EP, 791 developed dementia over a 15-year follow-up, particularly vascular dementia. Adjusting for the covariates, the adjusted sub-distribution Hazard Ratio (asHR) with competing risks was 1.644 (95% CI, 1.394–2.053; p < 0.001). For patients with more than one episode, it was even higher (asHR=1.670 [95% CI, 1.419–2.092; p < 0.001]). Post-ectopic depression, prevalent in 62.2% within four weeks, was associated with a greater dementia risk compared to those without (asHR=1.702 [95% CI, 1.444-2.125; p<0.001] vs. asHR=1.551 [95%CI, 1.310-1.937; p<0.001]). Antidepressant treatments showed a partial protective effect, reducing the increased risk by 14.7%.

Conclusion

An EP history is linked to an earlier onset and a higher risk of overall dementia, VaD in particular, in a dose dependent manner, regardless of surgical intervention and stroke. Post-ectopic depression exacerbates dementia risk, while antidepressants offer partial protection. These findings underscore the potential benefit of screening and treating depression in women following EPs.
GROW-J: an empirical study of social sustainability, sense of place, and subjective well-being in Jordanian housing development
Authors: Ebbini Genell Wells , Bleibleh Sahera
Published: August 2024

The country of Jordan is committed to sustainable development goals and public well-being but faces challenges such as high rates of poverty and disaffection, exacerbated by the influx of refugees. This study aimed to evaluate housing-related happiness factors and provide recommendations for integrating these metrics into sustainable housing evaluations. We conducted qualitative interviews and used interpretative phenomenological analysis, grounded in an interpretivist paradigm, to understand Jordanian residents’ perspectives on their housing conditions. The research design emphasized capturing the subjective experiences of residents and the meanings they assign to their housing environments. Our findings indicate that social integration and community bonds are crucial for housing happiness, emphasizing cultural continuity, place attachment, social belonging, and dignity. These insights highlight the importance of considering social and psychological outcomes in sustainable housing initiatives, often overshadowed by economic and ecological metrics. We propose recommendations to enhance sustainable housing policies by focusing on social sustainability, contributing to the growing trend of incorporating social and psychological outcomes in green building evaluations. This study offers a framework for future sustainable housing projects to ensure they address the social and psychological needs of residents, thereby improving overall community well-being.
Is the brightness- contrast level of virtual reality videos significant for visually induced motion sickness? Experimental real-time biosensor and self-report analysis
Authors: Ugur Emel , Konukseven Bahriye Ozlem , Ergen Mehmet , Aksoy Mehmet Emin , Yoner Serhat Ilgaz
Published: August 2024

Background

Virtual reality is no longer created solely with design graphics. Real life 360° videos created with special shooting techniques are now offered as open access to users’ experience. As a result, this widespread use of VR systems has increased the incidence of visually induced motion sickness.

Objective

In the present study, we aimed to investigate impact of brightness-contrast levels of real-life 360° videos on susceptibility to visually induced motion sickness during immersive virtual reality headset viewing.

Methods

In this study, 360° real-world day and night driving videos publicly available on YouTube VR were used as stimuli. Stimuli were presented in 2-min segments. Electrodermal activity was recorded throughout the stimulus presentation, and SSQ was administered immediately afterward.

Results

No significant difference was found between the experiments in terms of dermal activity. There is a statistically significant difference in total SSQ scores and in symptoms of fatigue, eye strain, head fullness, blurred vision, and dizziness (p < 0.005; p < 0.01) after then the night video.

Conclusion

The present study examined the likely impact of brightness and contrast levels in VR environments on VIMS provocation.
Development and validation of a machine learning model for clinical wellness visit classification in cats and dogs
Authors: Szlosek Donald , Coyne Michael , Riggott Julia , Knight Kevin , McCrann D. J. , Kincaid Dave
Published: August 2024

Introduction

Early disease detection in veterinary care relies on identifying subclinical abnormalities in asymptomatic animals during wellness visits. This study introduces a model designed to distinguish between wellness and other types of veterinary visits.

Objectives

The purpose of this study is to validate the use of a visit classification model compared to manual classification of veterinary visits by three board-certified veterinarians.

Materials and methods

The algorithm was initially trained using a Gradient Boosting Machine model with a dataset of 11,105 clinical visits from 2012 to 2017 involving 655 animals (85.3% dogs and 14.7% cats) across 544 U.S. veterinary practices. Three validators were tasked with classifying 400 visits, including both wellness and other types of visits, selected randomly from the same database used for initial model training, aiming to maintain consistency and relevance between the training and application phases; visit classifications were subsequently categorized into “wellness” or “other” based on majority consensus among validators to assess the model’s performance in identifying wellness visits.

Results

The model demonstrated a specificity of 0.94 (95% CI: 0.91 to 0.96), implying its accuracy in distinguishing non-wellness visits. The model had a sensitivity of 0.86 (95% CI: 0.80 to 0.92), indicating its ability to correctly identify wellness visits as compared to the annotations provided by veterinary experts. The balanced accuracy, calculated as 0.90 (95% CI: 0.87 to 0.93), further confirms the model’s overall effectiveness.

Clinical significance

The model exhibits high specificity and sensitivity, ensuring accurate identification of a high proportion of wellness visits. Overall, this model holds promise for advancing research on preventive care’s role in subclinical disease identification, but prospective studies are needed for validation.
Recombinant Polymerase Amplification Coupled with CRISPR/Cas12a Detection System for Rapid Visual Detection of Porcine Circovirus 3
Authors: Jiang Genghong , Yang Xiaoyu , Li Zhaoyang , Mao Jingyu , Zeng Penghui , Wang Dedong , Wu Zhi , Liu Changzhe , Qiu Yonghui , Cui Yongqiu , Zhou Jianwei , Liu Jue , Hou Lei
Published: August 2024

The porcine circovirus type 3 (PCV3) infection is an emerging disease associated with clinical signs of porcine dermatitis and nephropathy syndrome (PDNS)-like clinical signs. Currently, there is a lack of effective vaccines and therapeutics against this disease. Therefore, rapid, effective, sensitive, and specific detection methods are crucial for the timely identification, prevention, and control of PCV3. In this study, we developed one- and two-pot visual detection methods for PCV3 using a clustered regularly interspaced short palindromic repeat (CRISPR)/Cas12a detection system combined with recombinase polymerase amplification (RPA). These two methods demonstrated no cross-reactivity with eight other swine viruses and exhibited minimum detection limits of five and two copies of viral DNA, respectively, revealing their high specificity and sensitivity. During a clinical sample detection within 30 min, the coincidence rates between the one- and two-pot detection methods and real-time quantitative polymerase chain reaction (qPCR) were 100%. In conclusion, both one- and two-pot RPA-CRISPR/Cas12a detection methods have significant potential for the rapid, sensitive, and specific visual detection of PCV3.
Heat-Killed Lactobacillus acidophilus Promotes Growth by Modulating the Gut Microbiota Composition and Fecal Metabolites of Piglets
Authors: Miao Huabiao , Liang Jing , Lan Ganqiu , Wu Qian , Huang Zunxi
Published: August 2024

Probiotics can improve animal growth performance and intestinal health. However, understanding the effects of paraprobiotics on the growth performance and gut microbiota of piglets and how the paraprobiotics exert their impact are still limited. The present study was conducted to investigate the effects of heat-killed Lactobacillus acidophilus IFFI 6005 supplementation on the growth performance, intestinal microbiota, and fecal metabolites of piglets. First, a feed-additive sample of heat-killed Lactobacillus acidophilus IFFI 6005 was prepared by culture. Second, 96 (initial BW = 14.38 ± 0.67 kg, weaning age of 40 days) healthy piglets were selected and randomized into four treatment groups. Each treatment group consisted of three replicates (n = 8). Pigs were fed a basal diet (NC), basal diet plus antibiotics (PC), basal diet plus Lactobacillus acidophilus IFFI 6005 at 600 g/t (LA, 1.0 × 1010 cfu/g), and basal diet plus heat-killed Lactobacillus acidophilus IFFI 6005 at 600 g/t (HKLA), respectively; the trial lasted for 30 days. The results showed that the ratios of feed to gain (F:G) and diarrhea rate of both the HKLA and PC groups were significantly lower compared with the NC and LA groups (p < 0.05); however, there was no significant difference between the HKLA and PC group (p > 0.05). In addition, the average daily weight gain (ADG) of the HKLA group was significantly higher (p < 0.05) than that of the other three groups in terms of growth performance. Finally, 16S rRNA sequencing and metabolome analysis based on fecal samples further elaborated that the addition of heat-killed Lactobacillus acidophilus IFFI 6005 to the feed improved the intestinal microbial diversity and abundance (p < 0.05) and reduced the abundance of pathogenic bacteria (p < 0.05), but it did not affect the abundance of Lactobacillus (p > 0.05). Through the comparison of microbial abundance and metabolite content between the two groups (NC_vs_HKLA), the largest differences were found in six microorganisms and 10 metabolites in the intestine (p < 0.05). These differential metabolites were involved in the digestion, absorption and utilization of protein and starch, as well as in oxidative stress. In summary, addition of heat-killed Lactobacillus acidophilus IFFI 6005 as a new feed additive in piglets has beneficial effects on the growth performance, intestinal bacteria and metabolites, and can be used as an alternative to antibiotics.
Machine Learning in FTIR Spectrum for the Identification of Antibiotic Resistance: A Demonstration with Different Species of Microorganisms
Authors: Barrera Patiño Claudia Patricia , Soares Jennifer Machado , Blanco Kate Cristina , Bagnato Vanderlei Salvador
Published: August 2024

Recent studies introduced the importance of using machine learning algorithms in research focused on the identification of antibiotic resistance. In this study, we highlight the importance of building solid machine learning foundations to differentiate antimicrobial resistance among microorganisms. Using advanced machine learning algorithms, we established a methodology capable of analyzing the FTIR structural profile of the samples of Streptococcus pyogenes and Streptococcus mutans (Gram-positive), as well as Escherichia coli and Klebsiella pneumoniae (Gram-negative), demonstrating cross-sectional applicability in this focus on different microorganisms. The analysis focuses on specific biomolecules—Carbohydrates, Fatty Acids, and Proteins—in FTIR spectra, providing a multidimensional database that transcends microbial variability. The results highlight the ability of the method to consistently identify resistance patterns, regardless of the Gram classification of the bacteria and the species involved, reinforcing the premise that the structural characteristics identified are universal among the microorganisms tested. By validating this approach in four distinct species, our study proves the versatility and precision of the methodology used, in addition to bringing support to the development of an innovative protocol for the rapid and safe identification of antimicrobial resistance. This advance is crucial for optimizing treatment strategies and avoiding the spread of resistance. This emphasizes the relevance of specialized machine learning bases in effectively differentiating between resistance profiles in Gram-negative and Gram-positive bacteria to be implemented in the identification of antibiotic resistance. The obtained result has a high potential to be applied to clinical procedures.
Numerical Simulation of the Effects of Surface Roughness on Light Scattering by Hexagonal Ice Plates
Authors: Ballington Harry , Hesse Evelyn
Published: August 2024

Cirrus clouds have an extensive global coverage and their high altitude means they play a critical role in the atmospheric radiation balance. Hexagonal ice plates and columns are two of the most abundant species present in cirrus and yet there remains a poor understanding of how surface roughness affects the scattering of light from these particles. To advance current understanding, the scattering properties of hexagonal ice plates with varying surface roughness properties are simulated using the discrete dipole approximation and the parent beam tracer physical–optics method. The ice plates are chosen to have a volume-equivalent size parameter of 2πr/λ=60, where r is the radius of the volume-equivalent sphere, and a refractive index n=1.31+0i at a wavelength λ=0.532 µm. The surface roughness is varied in terms of a characteristic length scale and an amplitude. The particles are rotated into 96 orientations to obtain the quasi-orientation averaged scattering Mueller matrix and integrated single-scattering parameters. The study finds that the scattering is largely invariant with respect to the roughness length scale, meaning it can be characterised solely by the roughness amplitude. Increasing the amplitude is found to lead to a decrease in the asymmetry parameter. It is also shown that roughness with an amplitude much smaller than the wavelength has almost no effect on the scattering when compared with a pristine smooth plate. The parent beam tracer method shows good agreement with the discrete dipole approximation when the characteristic length scale of the roughness is several times larger than the wavelength, with a computation time reduced by a factor of approximately 500.
An Artificial Intelligence-Based Digital Analysis of Immunolocalization of MMP2 and TIMP2 in the Jejunum of Rats Treated with Calcineurin Inhibitors
Authors: Wilk Aleksandra , Szumilas Kamila , Gimpel Anna , Pilutin Anna , Rzeszotek Sylwia , Kędzierska-Kapuza Karolina
Published: August 2024

(1) Background: The main goal of this study was to analyze the morphology of the rat’s jejunum after long-term treatment with calcineurin inhibitor-based immunosuppressive drugs and to investigate their impact on the location of MMP-2 and its inhibitor TIMP-2, as well as the balance between them. (2) Methods: Twenty-four rats were divided into four groups receiving different immunosuppressive regiments. After six months of treatment, the jejunums were collected and analyzed. (3) Results: immunosuppressive drug panels containing calcineurin inhibitors (CNIs) have a negative impact on the morphology and morphometry of the small intestinal wall. These drugs disrupt the MMP-2/TIMP-2 balance. Both CsA and TAC interfere with the synthesis of intercellular matrix components in the connective tissue of the small intestine. Furthermore, tacrolimus appears to disrupt the MMP-2/TIMP-2 balance in the small intestine the most, as the results show the highest difference between MMP-2 and TIMP-2 expression. The results were also confirmed by digital analysis of tissue segmentation. (4) Conclusions: The research conducted in this study is unique because there is limited information available on the direct effects of immunosuppressive drugs on the expression of MMP-2 and their inhibitors in the jejunum. Additionally, this study involves three drugs instead of one, which accurately reflects the panel of drugs used in organ recipients. Our results suggest that immunosuppressive drugs affect morphology and MMP2/TIMP2 immunoexpression; however, further studies are required. AI-based tools provide a reliable analysis of tissue samples, which represents an exciting approach for future histopathological studies. However, the results of the analyses generated by these tools need to be verified by specialists.
Training and Familiarization with Industrial Exoskeletons: A Review of Considerations, Protocols, and Approaches for Effective Implementation
Authors: Kuber Pranav Madhav , Rashedi Ehsan
Published: August 2024

Effective training programs are essential for safely integrating exoskeletons (EXOs) in industrial workplaces. Since the effects of wearable systems depend highly upon their proper use, lack of training of end-users may cause adverse effects on users. We reviewed articles that incorporated training and familiarization protocols to train novices on proper operation/use of EXOs. Findings showed variation in training methods that were implemented to train study participants in EXO evaluation studies. Studies also indicate that multiple (up to four) sessions may be needed for novice EXO wearers to match movement patterns of experts, and training can offer benefits in enhancing motor learning in novices. Biomechanical assessments and ergonomic evaluations can be helpful in developing EXO-specific training protocols by determining training parameters (duration/number of sessions and task difficulty). Future directions include development of personalized training approaches by assessing user behavior/performance through integration of emerging sensing technologies. Application of simulators and use of data-driven approaches for customizing training protocols to individuals, tasks, and EXO design are provided along with a comprehensive training framework. Discussed elements in this article can be helpful to exoskeleton researchers in familiarizing novice users to EXOs prior to evaluation, and to practitioners in developing protocols for training workforce.
Recent Progress in Biosensors for Depression Monitoring—Advancing Personalized Treatment
Authors: Yin Jiaju , Jia Xinyuan , Li Haorong , Zhao Bingchen , Yang Yi , Ren Tian-Ling
Published: August 2024

Depression is currently a major contributor to unnatural deaths and the healthcare burden globally, and a patient’s battle with depression is often a long one. Because the causes, symptoms, and effects of medications are complex and highly individualized, early identification and personalized treatment of depression are key to improving treatment outcomes. The development of wearable electronics, machine learning, and other technologies in recent years has provided more possibilities for the realization of this goal. Conducting regular monitoring through biosensing technology allows for a more comprehensive and objective analysis than previous self-evaluations. This includes identifying depressive episodes, distinguishing somatization symptoms, analyzing etiology, and evaluating the effectiveness of treatment programs. This review summarizes recent research on biosensing technologies for depression. Special attention is given to technologies that can be portable or wearable, with the potential to enable patient use outside of the hospital, for long periods.
Traditional Prostate Cancer Risk Assessment Scales Do Not Predict Outcomes from Brain Metastases: A Population-Based Predictive Nomogram
Authors: Ladner Liliana R. , Adhikari Srijan , Bhutada Abhishek S. , Cuoco Joshua A. , Patel Vaibhav M. , Entwistle John J. , Rogers Cara M. , Marvin Eric A.
Published: August 2024

Brain metastases are an uncommon yet life-limiting manifestation of prostate cancer. However, there is limited insight into the natural progression, therapeutics, and patient outcomes for prostate cancer once metastasized to the brain. This is a retrospective study of 461 patients with metastatic prostate cancer to the brain with a primary outcome of median overall survival (OS). The Surveillance, Epidemiology, and End Results (SEER) database was examined using Cox regression univariate and multivariable analyses, and a corresponding nomogram was developed. The median overall survival was 15 months. In the multivariable analysis, Hispanic patients had significantly increased OS (median OS 17 months, p = 0.005). Patients with tumor sizes greater than three centimeters exhibited significantly reduced OS (median OS 19 months, p = 0.014). Patients with additional metastases to the liver exhibited significantly reduced OS (median OS 3.5 months, p < 0.001). Increased survival was demonstrated in patients treated with chemotherapy or systemic treatment (median OS 19 months, p = 0.039), in addition to radiation and chemotherapy (median OS 25 months, p = 0.002). The nomogram had a C-index of 0.641. For patients with prostate metastases to the brain, median OS is influenced by race, tumor size, presence of additional metastases, and treatment. The lack of an association between traditional prostate cancer prognosis metrics, including Gleason and ISUP grading, and mortality highlights the need for individualized, metastasis-specific prognosis metrics. This prognostic nomogram for prostate metastases to the brain can be used to guide the management of affected patients.
The Impact of Parental Involvement on the Educational Development of Students with Autism Spectrum Disorder
Authors: Fernández Cerero José , Montenegro Rueda Marta , López Meneses Eloy
Published: August 2024

Background/Objectives: Parental involvement is vital for the academic success and overall development of students, particularly those with Autism Spectrum Disorder (ASD), who face unique educational challenges. This study investigates the influence of parental involvement on the academic performance and school adjustment of students with ASD, focusing on the interplay of cultural identity and first language in their educational and social growth. The research also seeks to identify the challenges parents face and the strategies they use to support their children. Method: Employing a qualitative, interpretive approach, this study involved 42 parents of secondary school students with ASD in Seville, Spain. Data collection included in-depth interviews and focus group discussions, allowing for a comprehensive understanding of parental experiences. Results: The study found that active parental involvement greatly enhances students’ academic performance and emotional well-being. Key strategies include creating structured home environments, utilizing assistive technologies, and fostering open communication with school staff. However, parents reported significant challenges, including limited school resources, communication barriers with educators, and a lack of ASD-specific training for teachers and parents. These challenges often hinder their ability to fully support their children’s education. Conclusions: Active parental involvement is crucial for the educational success of students with ASD. The findings highlight the need for improved communication between schools and families, increased resources, and targeted ASD training for both teachers and parents. Additionally, the study advocates for greater investment in assistive technologies to better support students with ASD. Addressing these needs could significantly improve the educational experiences and outcomes for these students.
The Effect of COVID-19 on a Short-Term Teacher-Education Program: The Israeli Case
Authors: Fisher Yael , Shatz-Oppenheimer Orna , Arviv Elyashiv Rinat
Published: August 2024

Given the unemployment wave caused by COVID-19, the Israeli Ministry of Education and other organizations initiated a unique alternative short-term retraining program to offer unemployed college and university graduates the opportunity to earn teaching certificates. This study aimed to examine the alternative short-term program from the coordinators’ perspectives. We assess the personal and organizational impact of the program and its contribution to teacher-education initiatives. The present study had two main goals: to learn about the structure of the program and its implementation from the professional and personal points of view of the program’s coordinators as they experienced it and to examine the contribution of the new short-term program to the participants—the teacher trainees—and the Israeli education system in general. Analyzing semi-structured interviews with program coordinators revealed insights regarding the program’s various phases in five categories: recruitment of the coordinator; establishing the program; clinical experience; the students of the program; and future initiatives for teacher education. Although the effectiveness of the online format for practical clinical training was questioned, the conclusion suggests that this alternative short-term teacher-education program may have broader relevance in routine times.
Prioritizing Ethical Conundrums in the Utilization of ChatGPT in Education through an Analytical Hierarchical Approach
Authors: Bukar Umar Ali , Sayeed Md Shohel , Razak Siti Fatimah Abdul , Yogarayan Sumendra , Sneesl Radhwan
Published: August 2024

The transformative integration of artificial intelligence (AI) into educational settings, exemplified by ChatGPT, presents a myriad of ethical considerations that extend beyond conventional risk assessments. This study employs a pioneering framework encapsulating risk, reward, and resilience (RRR) dynamics to explore the ethical landscape of ChatGPT utilization in education. Drawing on an extensive literature review and a robust conceptual framework, the research identifies and categorizes ethical concerns associated with ChatGPT, offering decision-makers a structured approach to navigate this intricate terrain. Through the Analytic Hierarchy Process (AHP), the study prioritizes ethical themes based on global weights. The findings underscore the paramount importance of resilience elements such as solidifying ethical values, higher-level reasoning skills, and transforming educative systems. Privacy and confidentiality emerge as critical risk concerns, along with safety and security concerns. This work also highlights reward elements, including increasing productivity, personalized learning, and streamlining workflows. This study not only addresses immediate practical implications but also establishes a theoretical foundation for future AI ethics research in education.
Ti/CuO and Ti/CuO/Cellulose Nitrate Nanothermites: An Early Insight into Their Combustion Mechanism
Authors: Polis Mateusz , Stolarczyk Agnieszka , Szydło Konrad , Jarosz Tomasz , Procek Marcin , Sławski Sebastian , Gołofit Tomasz , Lisiecka Barbara , Hawełek Łukasz
Published: August 2024

Most nanothermite compositions utilise Al as a fuel, due to its low cost, high reactivity and availability. Nevertheless, aluminothermites exhibit high ignition temperature and low active metal content. In this paper, the combustion behaviour of Ti/CuO and Ti/CuO/NC systems is discussed. The compositions were prepared with a wet-mixing/sonication process followed by an electrospray technique and were examined in terms of their mechanical and radiation sensitivity, energetic parameters and morphology. The results exhibited a strong correlation between equivalence ratio and energetic parameters. The performed tests showed the crucial impact the addiction of the chosen energetic binder on the morphology and performance of the compositions. The results of our experiments indicate the occurrence of a different combustion mechanism than the one observed for Al-based nanothermites. In our case, the combustion mechanism involves a limitation by the diffusion of the oxidising agent and its decomposition products into the reactive fuel core.
A Distributed Coordination Approach for Enhancing Protection System Adaptability in Active Distribution Networks
Authors: Acevedo-Iles Manuel , Romero-Quete David , Cortes Camilo A.
Published: August 2024

The electrical protection of active distribution networks is crucial for ensuring reliable, safe, and flexible operations. However, protecting these networks presents several challenges due to the emergence of bi-directional power flows, network reconfiguration capabilities, and changes in fault current levels resulting from the integration of inverter-based resources. This paper introduces an innovative protection strategy for active distribution networks, leveraging the principles of distributed coordination and multi-agent systems. The proposed strategy consists of two stages. The first stage involves a fault detection algorithm that relies solely on local measurements, while the second stage uses agent classification to compute the optimal operating time based on a dynamic matrix representation of the fault path, combined with a simplified distributed optimization problem. The coordination process is formulated as a set of linear optimization problems, simplifying the solution. The proposed protection strategy is validated in a real-time simulation environment using a modified CIGRE MV European grid as a case study, considering low-impedance symmetric fault scenarios and topological changes. The results demonstrate that the protection scheme exhibits robust performance, enhancing the adaptability of the protection equipment while ensuring suitable sensitivity and operational speed.
Analysis of Energy Efficiency Measures in Integrating Light-Duty Electric Vehicles in NZEB Buildings: A Case Study in an Educational Facility in the Brazilian Amazon
Authors: Souza Ana Carolina Dias Barreto de , Vasconcelos Filipe Menezes de , Azevedo Jackquelline C. do N. , Muse Larissa Paredes , Moreira Gabriel Abel Massunanga , Alves João Victor dos. Reis , Tostes Maria Emília de Lima , Carvalho Carminda Célia Moura de Moura , Nascimento Andréia Antloga do
Published: August 2024

The increasing reliance on electric vehicle (EV) charging in buildings requires balancing the load from other building systems to support the new demand. This paper uses a study case in a Near-Zero Energy Building (NZEB) educational facility located in the Brazilian Amazon to verify how much the energy efficiency (EE) measures would improve the existing ratings of the building and supply the expansion of EV demand. A comprehensive building energy load and energy performance analysis were conducted in four steps, following the mandatory Brazilian requirements for EE in public buildings, using measured data, computer modeling, and thermoenergetic analyses using OpenStudio version 1.1.0 and EnergyPlus software version 9.4.0. First, the EE retrofit measures were proposed and evaluated, targeting the air conditioning and lighting systems. Subsequently, an equation was elaborated to indicate the maximum level of energy consumption that could be increased without compromising the building’s energy performance and NZEB classification. Finally, Open DSS software version 10.0.0.2 was used to simulate the increased availability of EV charging after the retrofit. With the proposed retrofit, the building improved the EE ratings by three levels, and the percentage of the NZEB rating increased by 33.28%. These measures also increased the EV charging load by 20%, maintaining the maximum EE level and the NZEB classification, although EV maximization reduced self-sufficiency by 9.78% compared to the retrofit-only scenario.
Subsidies for Forest Environment and Climate: A Viable Solution for Forest Conservation in Romania?
Authors: Bratu Iulian A. , Câmpu Vasile R. , Budău Ruben , Stanciu Mirela A. , Enescu Cristian M.
Published: August 2024

The conservation of biodiversity and forest ecosystems from the perspective of increasingly pronounced climate changes represents a priority objective for present and future society. In recent decades, alongside traditional conservation methods, innovative tools such as PES (Payment for Ecosystem Services) have been introduced to support biodiversity conservation. The aim of this study is to analyze the impact of financial mechanisms for forest ecosystem conservation from the perspective of voluntary adoption by forest owners of additional conservation measures beyond those required by national environmental legislation. Through the conceptual literature review, 6069 articles were analyzed, which described the general context of the application of PES, the aims and objectives related to climate and environmental issues, the beneficiaries, as well as the legislative conditions, and the research direction in the last 7 years. The study aims to provide relevant information regarding the viability and potential impact of PES on achieving the goal of forest ecosystem conservation in Romania, during the period 2017–2023. We identified 904 cases involving 887 entities that have committed to the program for the voluntary adoption of additional measures. It has been stated that a PES approach can lead to increased efficiency in conservation actions. Following the temporal analysis of the number of applications, it was observed that in the first sessions there was a low number of applications, which means very high reluctance of the potential beneficiaries of PES, but once the first program was implemented, their interest increased. The study found a strong correlation between payments and the areas and number of plots under commitment, while there was a less strong correlation with the geographical region. Based on the data obtained, the potential impact of PES in Romania was evaluated at the social level, quantified in the number of applications submitted, and at the economic level, with the amount of money paid to applicants. The environmental impact was measured by analyzing the areas included in the subsidy mechanism and identifying the minimum 20% of the eligible areas, totally exempt from forestry interventions, which produce effects on forests, soil, water and environment.
Can Investment in Forestry Resource Management Reduce Haze Pollution and Carbon Emissions? Evidence from China
Authors: Deng Zhen , Zhang Yizhen , Supriyadi Agus , Wang Luwei , Zhang Fang
Published: August 2024

In the context of green development, it is very important to explore the impact of investment in forestry resource management (IFRM) on atmospheric haze pollution and carbon emissions. Based on long time series data of 30 provincial administrative regions in China from 2008 to 2019, this study used ArcGIS spatial analysis and spatial econometric models to investigate the impact of IFRM on haze pollution and carbon emissions and its potential spatial spillover effects. The results show that areas with higher haze pollution concentrations in China were mainly distributed in the Sichuan Basin and the North China Plain; areas with high carbon emission intensity were mainly distributed in Beijing, Shanghai, Tianjin, Shandong, Hebei, etc. For every 1% increase in IFRM, haze pollution and carbon emissions decreased by 0.0655% and 0.1169%, respectively, indicating that IFRM has significantly improved the ecological environment. In addition, IFRM not only significantly reduced haze pollution and carbon emissions in local areas, but also had a strong negative effect on haze pollution in neighboring areas. This study provides important strategies for promoting forestry resource management and regional green development.
Brief Introduction on Advances in Fire Suppression
Authors: Liu Changcheng , Li Guohui , Lu Song
Published: August 2024

As society rapidly evolves and urbanization accelerates, fire safety has become an increasingly pressing concern [...]
Transforming China’s Fisheries: A 40-Year Journey toward Sustainable Management (1980–2019)
Authors: Liu Xin , Geng Ruiying , Do Thang Nam , Lv Xin , Du Xiaofei
Published: August 2024

As the world’s largest producer of fish, China has faced significant challenges in developing its fisheries. Over the past four decades, China has implemented and adjusted multiple regulations and measures to reverse the decline of aquatic resources and achieve sustainable fisheries. This study analyzes the production trends and efforts during the period 1980–2019, highlighting the key features of and structural shifts in China’s fisheries. Our results reveal a significant shift in seafood production from capture to aquaculture and from offshore to inshore waters. Moreover, China’s fishery policy has transitioned from resource exploitation to ecological conservation, with aquaculture production in 2019 being nearly 38 times higher than that in 1980. However, not all the management measures have been successful; for example, the “Dual Control” policy failed to achieve its goals. Despite this, some measures that require adjustments, such as the “Aquatic Germplasm Resource Reserves” and “Nature Reserve for Aquatic Animals and Plants” policies, show promise for further improving the sustainability of China’s fisheries, particularly if the focus is on marine resources.
Synthesis of Ganoderic Acids Loaded Zein-Chitosan Nanoparticles and Evaluation of Their Hepatoprotective Effect on Mice Given Excessive Alcohol
Authors: Cao Yingjia , Yang Yuheng , Liang Zihua , Guo Weiling , Lv Xucong , Ni Li , Chen Youting
Published: August 2024

Ganoderma lucidum, used in East Asia for its health benefits, contains ganoderic acids (GA) which have various pharmacological activities but are limited by poor water solubility and low oral bioaccessibility. This study synthesized and characterized ganoderic acids loaded zein-chitosan nanoparticles (GA-NPs), and investigated its advantages in alleviating alcoholic liver injury (ALI) in mice model. The GA-NPs demonstrated high encapsulation efficiency (92.68%), small particle size (177.20 nm), and a +29.53 mV zeta potential. The experimental results of alcohol-induced liver injury mouse model showed that GA-NPs significantly improved liver metabolic function, reduced alcohol-induced liver oxidative stress in liver by decreasing lactate dehydrogenase activity and malondialdehyde level, while increasing the activities of liver antioxidant enzymes and alcohol dehydrogenase. Moreover, GA-NPs were favorable to ameliorate intestinal microbiota dysbiosis in mice exposed to alcohol by increasing the proportion of probiotics such as Romboutsia, Faecalibaculum, Bifidobacterium and Turicibacter, etc., which were highly correlated with the improvement of liver function. Furthermore, GA-NPs modulated the mRNA expression related to ethanol metabolism, oxidative stress and lipid metabolism. Conclusively, this study revealed that GA-NPs have stronger hepatoprotective effects than non-encapsulated ganoderic acids on alleviating ALI by regulating intestinal microbiota and liver metabolism.
Study on Selenium Assimilation and Transformation in Radish Sprouts Cultivated Using Maillard Reaction Products
Authors: Zou Xiaoshuang , Sun Ruiqi , Wang Can , Wang Jun
Published: August 2024

The organic selenium (Se), particularly in the form of selenoamino acids, in non-edible sections or by-products of Se-enriched plants, has the potential to generate Maillard reaction products (MRPs) during thermal treatment or fermentation. To elucidate the recycling process of organic selenium in foods and improve the utilization rate of Se, the biotransformation of organic selenium was studied by the cultivation of edible radish sprouts with Se-MPRs. Maillard reactions were simulated using selenoamino acids (SeAAs; selenomethionine and methylselenocysteine) and reducing sugars (glucose and fructose) for preparing Se-MRPs. The structures of the possible dehydrated Se-MRPs were analyzed using a HPLC-ESI-MS/MS system based on their fragmentation patterns and Se isotopic characteristics. Se absorption by the radish sprouts cultivated using Se-MRPs was estimated by the corresponding Se in the SeAAs and the total Se contents. The capabilities of SeAA transformation and total Se assimilation by the sprouts were related to the substrate composition during the Se-Maillard reaction. A particular Se-MRP (selenomethionine + fructose) increased SeAAs transformation by 33.8% compared to selenomethionine. However, glucose and fructose seemed to inhibit the transformation of the Se-MRPs to SeAAs by 10.0 to 59.1% compared to purified Se-MRPs. These results provide key references for the efficient utilization of organic Se in the cultivation of Se-enriched sprouts.