bluuebunny/crossref_metadata_2025 huggingface dataset:
The ideal school for mainstreaming students' dreams
Authors: Deniz Serdal , Karabulut Ridvan
Published: June 2024

This research was conducted to determine the ideal school that mainstream students dream of. The research was conducted using the phenemology approach, one of the qualitative research models. Participating in the research were students with mild special needs who attended inclusive education in Turkey and had no problems understanding and answering the questions asked, as well as the teachers and parents of these students. The study collected data from 28 inclusion students with special needs, 28 parents of these students, and 28 teachers. We obtained data using semi-structured interview forms. The analysis of the data obtained was done using the content analysis technique. As a result of the research, it was found that the wishes of inclusive students regarding school/class were collected in four themes: arrangements in teaching, lessons and environment, and positive attitudes. In addition, it was determined that the requests of the inclusion students from their parents regarding the school/class consisted of three themes: arrangements in the lessons and environment and positive attitudes, and their complaints consisted of two themes: peer bullying and social acceptance. In light of the research findings, it is recommended to conduct advanced research based on having inclusion students write stories about the school/class, keeping a diary, and collecting the information they convey to their close circle in order to determine the ideal school of their dreams.
GREEN TECHNOLOGY INNOVATION & KINERJA KEUANGAN PERUSAHAAN: MEDIASI KINERJA LINGKUNGAN
Authors: Sari Puspita
Published: June 2024

The study aims to prove empirically that environmental performance mediates the effect of green technology innovation on corporate financial performance. This study uses SEM-PLS to analyze data and Warpl PLS 7.0 software to process the data. This study uses a purposive sampling method with many samples of 180 companies in the basic industrial sector and chemicals, mining, and agriculture listed on the Indonesia Stock Exchange and PROPER Indonesia rating during 2013-2018. The result shows that environmental performance partially mediates the effect of green product innovation on corporate financial performance which measured by ROA and ROE. Environmental performance was also found to be inconsistent mediates the effect of green process innovation on corporate financial performances which measured by ROA. The results of this study have confirmed the Resource Based View Theory and Natural Resource Based View Theory.
EFFECT OF BOARD CHARACTERISTICS ON CARBON EMISSION DISCLOSURE IN ENERGY AND AGRICULTURAL SECTOR COMPANIES
Authors: Chika Joceline , Widianingsih Luky Patricia
Published: June 2024

This study aims to examine the correlation between three dimensions of board characteristics, specifically, gender diversity, nationality diversity, and board independence with regards to carbon emission disclosure. This study adopted a quantitative approach utilizing multiple linear regression analysis. The sample consists of energy and agricultural firms which were listed on Bursa Efek Indonesia (BEI) between 2017 and 2021. Data were obtained from the annual and sustainability report of these companies. The research findings indicate that nationality diversity and board independence each possess a positive effect on carbon emission disclosure, whereas gender diversity does not show any influence. This study contributes to academic literature and offers an insight for any individuals concerned with carbon emission disclosure in Indonesia.
Eco-Friendly information literacy in green and sustainable business programs
Authors: Maulina Ajri Rhaysa , Kurniasih Nuning , Saepudin Encang
Published: June 2024

Background of the study: Eco-friendly information literacy plays an important role in helping to change public behavior towards a more environmentally friendly lifestyle.
Purpose: The aim of this research is to examine various aspects of information literacy within the green and sustainable business programs conducted by The Local Enablers (TLE) in an eco-friendly context.
Method: The research method employed is qualitative descriptive study. The research subject is based on the involvement of specific parties with the research object to be studied in-depth. The subjects involved in this study consist of several individuals who play roles in the TLE project team during the planning and implementation of green and sustainable business programs.
Findings: This research outlines the information literacy process in the green and sustainable business program at TLE according to the Big6 Model theory, from problem formulation to information evaluation. The Big6 Model assists TLE as a problem-solving framework for the information needs of the green and sustainable business program. Each member of the TLE team is able to explain the process of searching for and using information during program development.
Conclusion: Eco-friendly information literacy is well-established within TLE, where they actively seek out and implement new environmental information within the TLE ecosystem. In designing and implementing green and sustainable business programs, TLE recognizes the urgency of environmental issues and understands that the process of information literacy is an effective problem-solving tool.
Coping strategies work stress among librarians in public library
Authors: Sembiring Santana , Sitompul Lola Utama , Mudana I Wayan
Published: June 2024

Background of the study: Stress is an inseparable part of a person's professional life, including the librarian profession. One of the librarians who experiences work stress is the Librarian of the Regional Archives and Library Service (DAPD) of Buleleng Regency. Remember, DAPD is the only district-level public library operating in Buleleng. The number of activities carried out, the various characters of the users served, and the library's targets make DAPD Buleleng librarians very vulnerable to work stress.
Purpose: The main aim of this research is to find out what the sources of work stress are and what strategies the DAPD Buleleng librarians use to overcome the work stress they experience.
Method: This research uses a qualitative approach with descriptive analysis methods. The technique for determining informants uses purposive sampling techniques and data collection techniques using interviews, documentation, and literature study.
Findings: From the research results, it is known that the source of work stress for DAPD Buleleng librarians is caused by two main situations, namely threatening situations such as excessive workload and unsuitable qualifications, inability to adapt to technology, attitudes, and character of librarians, and job targets that do not meet expectations; and challenging situations such as learning new things and maximizing efforts to achieve desired targets. The strategies used by DAPD librarians to deal with work stress are, sharing work, looking for a place that can restore their good mood, doing fun activities while at home, telling stories to colleagues, and praying to God.
Conclusion: It turns out that the work stress experienced by librarians also has an impact on work life and personal life. The results of this research can be a reference source for libraries that librarians need to have an understanding of the ability to manage work stress.
Infeksi Ektoparasit dan Korelasinya dengan Panjang, Berat, dan Faktor Kondisi Benih Ikan Mas Merah Najawa (Cyprinus carpio Linneaus)
Authors: Vaediyasari Dahniar , Setyawan Agung Cahyo , Astuti Astuti , Syakuri Hamdan
Published: June 2024

One of the problems in commona carp farming activities is ectoparasite infection which is thought to correlate with length, weight and condition of the fish. The aims of the research were to determine the species, prevalence, intensity and dominance of ectoparasites and to determine the correlation between the number of ectoparasites and the length, weight and condition factors of Najawa red carp (Cyprinus carpio Linneaus) fingerling at BPTPB Cangkringan. The research used laboratory observation method on randomly selected fish samples. Sampling was carried out for 3 weeks and a total of 27 individuals were examined. Ectoparasite observations were carried out on mucus samples from the body surface and gill sheets microscopically. The length and weight of each fish sample were measured and the results were used to calculate the condition factor. The correlation relationship was calculated between the number of ectoparasites and the length, weight and condition factors of the fish. The research results showed that five ectoparasites were found to infect fish samples with varying prevalence and intensity values, namely Trichodina sp., Dactylogyrus sp., Gyrodactylus sp., Glochidium sp. and Vorticella sp. Trichodina sp. has the highest prevalence, intensity and dominance compared to other parasites. The number of ectoparasites has a positive correlation with the length and weight of fish in the low category. In addition, a low negative correlation was found between the number of ectoparasites and fish condition factor. The results of this study indicate that ectoparasites are a factor that can influence the productivity of Najawa red carp cultivation.
Akumulasi Logam Berat pada Sedimen Matriks di Perairan Pekalongan
Authors: Arviani Ilma Azizah , Sarasati Wulandari , Hafidzah Maudia Tri , Mulyono Ridho Adi , Fasiroh Alzarotun
Published: June 2024

Pekalongan waters have various problems, both from natural disasters, there is tidal floods and problems caused by anthropogenic activities, due to the large number of textile industries that dominate that dominate in this area, as a source of batik waste, even though in batik coloring several dyes are obtained of chemicals containing heavy metals are used. Batik waste contains metals such as Chromium (Cr), Cuprum (Cu), Manganese (Mn) and many other heavy metals on a small scale. Heavy metals can be buried in sediments and even take a long time to decompose. Therefore, further research is needed regarding the content of heavy metals in Pekalongan Waters so that the public can find out the effect of these heavy metals. The sampling method used was purposive random sampling, namely by selecting the points that were used as representatives of the research location. Assessment of heavy metals in sediments is carried out by comparing values ​​with quality standards and several analytical methods, there are Contamination Factor (CF), Enrichment factor (EF), Geo-Accumulation Index (I-geo), Potential Ecological Risk Index (PERI). The results of the study showed that Pekalongan waters at the research location were categorized as unpolluted to moderately polluted based on the content of heavy metals Cr and Cu. Based on the Mn content, these waters were polluted at almost all stations, on the contrary based on the Pb content this area was not polluted at all stations. Based on calculated the CF value of Pekalongan waters have a low to moderate contamination category, as well as from the EF value there is a low enrichment level, and if seen from the I-geo value are not polluted and from the PERI value the lavel of contaminatin risk is still low.
Evaluation of the mineral manganese OXMN009 and OXMN009P in the Chemical looping Combustion (CLC) process using Thermogravimetry
Authors: Peña Sandra , Forero Carmen , Velasco-Sarria Francisco , Arango Eduardo
Published: June 2024

Carbon dioxides capture chemical looping combustion (CLC) technology uses metal oxides as oxygen transporters (TO). (1) These oxygen transporters, OXMN009 and OXMN009P, are used in a cyclic process that prevents the formation of nitrogen oxides by keeping air and fuel separate. (2) Thermogravimetric balance (TGA) experiments were conducted to evaluate the kinetic behavior of these copper-modified oxygen transporters. (3) It was found that OXMN009P has improved reactivity and oxygen transfer properties due to copper impregnation. The kinetic parameters obtained in the TGA indicate that the reaction is non-thermal and requires less energy to initiate. (4) The results show that OXMN009P has reactivity comparable to other manganese-based materials reported in the literature and can be an effective option for carbon dioxide capture.
Artificial Intelligence as a New Field of Activity for Applied Social Psychology – A Reasoning for Broadening the Scope
Authors: Linnemann Gesa Alena , Reimann Linda-Elisabeth
Published: June 2024

Interaction with social agents employing natural language have been discussed especially since Weizenbaum (1966) observed the social effects of his chatbot named 'Eliza', which imitated a cli-ent-centered conversation. With Nass and Reeves’ media equation theory and computers as social actors paradigm, a well-tested framework has been introduced to the study of human-computer interaction. In the 1990s, there was a renewed focus on natural language analysis, which has be-come a crucial area of research in machine learning. Recent advancements in data processing and storage capacities have led to the development of AI-generated utterances that closely resemble human utterances. As a result, AI-based systems can now mimic social relationships to a signifi-cant extent. In light of these technological developments, the article explores whether quasi-social relationships should be considered within the field of social psychology and examines the poten-tial advantages and challenges of this approach.
A Comparative Study of the Influence of Culture on Family Dynamics between Ghana and Latvia: Hoftsede’s Cultural Dimensions
Authors: Wilson Priscilla
Published: June 2024

Drawing from literature and Geert Hofstede’s cultural dimensions, this study delves into the impact of cultural factors on family structures, roles, and relationships. Ghana and Latvia have different cultural and social orientations that influence family dynamics. Through a comparative lens, this paper will contribute to understanding how a country’s culture influences family dynamics, highlighting the influence of Power Dynamics of parenting style and Individualism vs. Collectivism on interaction levels within the family.
Identifying the Mobility Patterns of the Historic Centre of Syrian Cities Using Cluster and Spatial Analysis
Authors: Danilina Nina , Alibrahim Lina , Teplova Irina
Published: June 2024

One of the most significant challenges that is facing urban-planning ,is the develop-ment of a transportation network, particularly in historical Syrian cities, which are characterized by their compact urban form. Historical Syrian cities, including historical city of Aleppo, present difficulties due to the essential balance required between saving cultural heritage and meeting the needs of a present-day population. This study basically addresses the city's key elements and planning issues, including traffic density, pedestrian safety, and the massive spreading of motor-ized vehicles. The objective of this study is to analyze the street structure, understanding its components and problems in order to develop a methodology that can be used to enhance urban mobility and to improve the structure of the historical city. for this purpose, two main methods were employed, method of analyzing geographical data based on Geographic Information Systems (GIS) and K-Means cluster analysis method. These two methods were employed to gain detailed and clear vision into mobility patterns of historical Aleppo. Which involved careful processing of data, such as street names, locations, components, quantities, and widths, based on the author’s observations and notes and a variety of local and international sources. This analysis process will not only reveal the current hierarchy of streets but also demonstrates the dynamical and complicated formation of transportation structures of the historical city. The findings of the study describe the challenges faced by historic city centers and highlight the interrelationship between the following: urban structure, objects of cultural heritage, tourism plans, and mobility patterns. The application of spatial analysis method serves as a technique that reveals the formulation of possible scenarios that helps to develop the transportation structure in the historical city of Aleppo. These generated scenarios will be used as typical solutions that can be generalized to all similar historic Syrian cities.
Quantitative approach to quality review of prenatal ultrasound examinations: Fetal biometry
Authors: Combs, MD, PhD C. Andrew , Amara, MD Sushma , Kline MD Carolyn , Ashimi Balogun, MD Olaide , Bowman, MD, PhD Zachary
Published: June 2024

Conclusions: The quantitative method provides a large-scale overview of the biometry measurements of an entire practice. Image audits can then be focused on sonographers whose measurements are outliers, avoiding the time, complexity, and expense of auditing those whose measurements fall within the expected range. We encourage commercial software developers to include tools in their ultrasound reporting software to facilitate such quantitative review.
Evaluating Inclusive Education Services In Islamic Education Institutions
Authors: Sumarni Sumarni , Salman Ibnu , Priwicaksono Noorman , Triana Dinny Devi
Published: June 2024

The aim of the study is to gather accurate information pertaining to the real-world conditions regarding the implementation of inclusive education and to unearth fundamental problems in providing inclusive education services in madrasas. The study employs a combination of quantitative and qualitative approaches and evaluates a sample of 50 madrasas, along with an additional 8 institutions selected for in-depth analysis. The evaluation findings indicate that, concerning context, the introduction of inclusive education in most madrasas satisfies the prerequisites for executing inclusive education, including conformity with government policy, community demand and the schools' capabilities. Nonetheless, there are various issues regarding input, comprising deficient facilities and infrastructure, inadequate funding, scarcity of specialised support teachers and inadequate curriculum development, among others.  Regarding implementation, 59.57% of participants reported that madrasas have been able to carry out the process of incorporating inclusive education, albeit suboptimally. As for outcomes, academic performance among children with disabilities is already noteworthy.
A pre-treatment MRI-based radiomics approach combinedwith clinical characteristics for predicting early recurrence in hepatocellular carcinoma after radiofrequency ablation treatment
Authors: Li Tianran
Published: June 2024

Purpose To develop a prediction model combining MRI-based radiomic features with clinical indicators in predicting early recurrence of hepatocellular carcinoma (HCC) after radiofrequency ablation (RFA) treatment.
Materials and Methods In total, 169 HCC patients who underwent MRI before RFA treatment from January 2015 to December 2021 were retrospectively enrolled at our institution. Patients were randomly divided into training cohorts (n=135) and test cohorts (n= 34). In the training cohorts, feature selection was performed by variance threshold, select K-best, and least absolute shrinkage and selection operator (LASSO).Then three machine-learning classifiers [support vector machine (SVM), logistic regression (LR), and random forest (RF)] were applied to build predictive models using radiomics or integrated radiomics-clinical characteristics. The models were tested in training cohorts and test cohorts according to the early recurrence of HCC by the receiver operating characteristic curve (ROC) analysis.
Results Alpha fetoprotein levels, platelet count, and the location of HCC were effective clinical indicators for predicting early recurrence of HCC after treatment with RFA. Progressive reduction of MRI radiomics features by dimension screening identified 16 effective features. The predictive models based on radiomics-only showed good performance across all classifiers constructed by SVM, LR, and RF (SVM, train: AUC 0.957 [0.920-0.993], test: AUC 0.826 [0.677-0.925]; LR, train: AUC 0.956 [0.924-0.987], test: AUC 0.830[0.674-0.986]; RF, train: AUC 0.945 [0.909-0.982], test: AUC 0.826 [0.682-0.969]). The radiomics-clinical integrated predictive models (clinical, routine MRI image features, and radiomics parameters) showed better performance by SVM, LR, and RF classifiers (SVM, train: AUC 0.956 [0.921-0.992], test: AUC 0.830 [0.686-0.973]; LR, train: AUC 0.957 [0.926-0.988], test: AUC 0.830[0.673-0.986]; RF, train: AUC 0.975 [0.952-0.997], test: AUC 0.909 [0.807-1.000]), in which the RF classifier performed best (0.909 vs 0.830 vs 0.830, P＜0.05) .
Conclusion The MRI radiomics-clinical integrated predictive models effectively predicted early recurrence in HCC patients treated with RFA, and the RF classifier may be the most effective model.
The Effects of an Anti-inflammatory Diet Alone or in Combination with Acupuncture on Mental Health, Anthropometric Indices, and Metabolic Status in Diabetic Patients with Depression: A Randomized, Controlled Clinical Trial
Authors: Namazi Nazli , Irandoost Pardis , Firouzjaei Amir , Heshmati Javad , Sadeghi Erfan , Ayati Mohammad Hossein
Published: June 2024

Background
The present clinical trial examined the efficacy of an anti-inflammatory diet combined with acupuncture to an anti-inflammatory diet alone and common treatment in depressed patients with type 2 diabetes (T2DM).
Methods
In this randomized controlled clinical trial, 90 patients with T2DM suffering from mild to moderate depression were included. They were randomly allocated to one of 3 groups: (i) acupuncture and anti-inflammatory diet, (ii) anti-inflammatory diet alone, and (iii) standard treatment, and followed for 8 weeks. Two sessions/week of acupuncture therapy were considered for the combination therapy group. Mental health (depression, anxiety), biochemical parameters, dietary intake, and anthropometric indices were measured at baseline and the end of the trial.
Results
Of 90 diabetic patients, 83 subjects completed the intervention. Acupuncture therapy with diet decreased depression and anxiety by 20% (p < 0.05 for both) at the end of the trial. The combination therapy decreased WC (p = 0.04) HbA1C (p = 0.008), and increased high-density lipoprotein cholesterol (HDL-C) concentrations (p = 0.02) compared to diet alone.
Conclusion
Our findings showed that acupuncture along with an anti-inflammatory diet can be more effective in improving mental health, HbA1C, and abdominal obesity compared to an anti-inflammatory diet alone in diabetic patients with mild to moderate depression after 8 weeks. However, more clinical trials with larger sample sizes and longer duration are recommended to confirm the efficacy of this adjuvant therapy.
Roux-en-Y Gastric Bypass restores insulin and gut hormones responses to acute exercise
Authors: Roschel Hamilton , Gil Saulo , Murai Igor , Dantas Wagner , Merege-Filho Carlos Alberto , Leitão Alice , Nicoletti Carolina , Lima Alisson , Benatti Fabiana , de Cleva Roberto , Santo Marco , Kirwan John , Gualano Bruno
Published: June 2024

Background
The acute exercise-mediated changes in metabolic, immunomodulatory, and gut hormones are blunted by excessive adiposity. We investigated whether bariatric surgery restore the acute responses to exercise on glucose metabolism, gut hormones, and inflammatory markers in women with severe obesity.
Methods
Thirteen women eligible for bariatric surgery underwent an acute exercise session before and 3 months after surgery. Blood samples were collected at baseline and immediately and 30 minutes after exercise to analyze glucose, insulin, inflammatory markers (INFγ, IL-1β, IL-1ra, TNFα, MCP1, IL-6, IL-8, IL-17A, IL-4, and IL-10), and gut hormones (Ghrelin, GIP, GLP-1, PP, PYY).
Results
Before surgery, there were no significant changes in post-exercise glucose response (all P > 0.05). Post-surgery, glucose levels decreased immediately and 30 minutes after exercise (both P < 0.05), but glucose AUC remained similar (181.0 vs. 166.8 mg/dL x min− 1, P > 0.05) between conditions. Insulin response to exercise remained unchanged regardless of surgery (all P > 0.05), but insulin AUC was significantly reduced post-surgery (60.7 vs. 26.3 µU/mL x min− 1, P = 0.046). No changes occurred in GLP-1 and PYY levels pre-surgery exercise (all P > 0.05); however, both parameters were increased immediately and 30 minutes post-exercise (all P < 0.05) after the surgical intervention. AUC for GLP-1 (2.3 vs. 14.5 pg/mL x min− 1, P = 0.008) and PYY (9.9 vs. 224.2 pg/mL x min− 1, P = 0.0004) were increased post-surgery. Surgery did not affect PP or GIP responses to exercise. Both parameters were elevated immediately (before surgery: P = 0.027 and P = 0.002, respectively; after surgery: P = 0.096 and P = 0.002, respectively) and 30 minutes post-exercise (before surgery: P = 0.002 and P < 0.0001, respectively; after surgery: P = 0.0004 and P = 0.054, respectively), regardless of surgery. PP AUC was lower post- (549.6 vs. 261.7 pg/mL x min− 1, P = 0.046) vs. pre-surgery. No changes were observed for ghrelin levels and inflammatory markers (all P > 0.05).
Conclusion
Bariatric surgery improves the gut hormone responses to exercise in parallel with enhanced peripheral insulin response.
Mechanism and prediction of residual stress generation in ultrasonic vibration-assisted grinding of bearing steel
Authors: Zhang Zhihui , Luan Zhenmeng , Zhao Man , Mao Jian , Liu Gang , Zhang Liqiang , Feng Yixuan , Yang Bo , Liang Steven Y.
Published: June 2024

The surface residual stress of the parts has an important influence on their performance. The generation mechanism of surface residual stress in ultrasonic vibration-assisted grinding (UVAG) of bearing steel was investigated, and the correlation between processing parameters and residual stresses was obtained. Based on the ultrasonic vibration-assisted grinding force and thermal model and the flow stress model considering the initial material microstructure, the mechanical and thermal stresses of the material were calculated. Finally, the theoretical model of residual stress is established based on the yield theory and experimentally verified. High-speed ultrasonic aerostatic spindle for ultrasonic vibration-assisted grinding, change the inlet pressure to realize the ultrasonic amplitude and frequency adjustment, the experimental results show that the cutting direction and the vertical cutting direction of the residual stress test results and the model prediction results of the average relative error of 11.4% and 11.7%, and the rule of change is more consistent. Based on the experimental results, the influence pattern of process parameters on the experimental results was analyzed. The results show that the residual compressive stress on the surface of ultrasonic vibration-assisted grinding is directly proportional to the grinding depth, feed rate, and inlet pressure of pneumatic ultrasonic wave, and inversely proportional to the linear speed of the grinding wheel. This study provides a theoretical basis for the analysis of UVAG residual stress and optimization of UVAG process parameters.
Mediating Effects of Coping Strategies Between Activation for Self-Management of Back Pain and Work Engagement: A Cross-Sectional Study of Cardiac Catheterization Laboratory Nurses
Authors: She Liping , Wang Jinju , Wu Yafeng , li Shaoman , Zhou Juanjuan , Zheng Xuemei
Published: June 2024

Background
Work engagement is a critical factor in improving the quality of care, nurses' job satisfaction, and hospital profitability. However, nurses, especially those in cardiac catheterization labs, face significant physical demands such as lower back pain from prolonged use of lead personal protective equipment, impacting their work engagement. To examine the back pain self-management activation, work engagement, and role of coping strategies among nurses in the cardiac catheterization laboratory.
Methods
This was a cross-sectional study design. A convenience sampling recruited 296 participants from 18 hospitals in Jiangsu and Anhui provinces of China from February to March 2023. The Demographics questionnaire, Participant Activation for Management of Back Pain Questionnaire, Simplified Coping Skill Questionnaire, and the Utrecht Work Engagement Scale were used to survey participants. A Pearson correlation analysis was conducted to determine the relationship between positive self-management of back pain, coping strategy, and work engagement. Bootstrap method was used to analyze the mediating effect of coping strategies.
Results
Work engagement and back pain self-management activation among cardiac catheterization laboratory nurses were moderate and influenced by various sociodemographic factors. Activation for self-management of back pain directly impacted work engagement, partially mediated by positive coping strategies, which accounted for 25.96% of the total effect.
Conclusion
Activation of self-management of back pain and positive coping strategies promote work engagement among cardiac catheterization laboratory nurses. Nursing managers should integrate individual and organizational interventions to increase nurses' self-management activation and work engagement.
Analysis of root reinforcement for several typical plant roots in Jixian, Shanxi based on asymptotic homogenization theory.
Authors: khan Inam , Lushuang Gao , jinkun Huang , khan Faiza
Published: June 2024

This study examines the effect of root systems on the stability of loess slopes in Ji County, Shanxi, by utilizing theoretical analysis, numerical simulation, and experiments. Centering on the material properties of roots and soil, characteristic conditions, and soil parameters, the research tests Pinus tabulaeformis, Robinia pseudoacacia, and Platycladus orientalis. Asymptotic homogenization theory is employed to determine the material parameters of the root-soil composite and to investigate the impacts of different root morphologies on mechanical properties. Numerical simulations of slope behavior under different boundary conditions evaluate the effect on comparable plastic strain. The findings highlight the stabilizing impact of root systems on slopes, approved by triaxial tests on the root-soil composite, which confirm the exactness of the proposed hypothesis. The study underscores the advantages of the homogenization model, such as simplicity and efficiency, and emphasizes the significance of reasonable boundary conditions in large-scale slope simulations. Symmetric boundary conditions are especially suitable for these simulations. Vegetation roots improve the stress field of shallow slope soil, making shear stress more uniform and enhancing slope stability. The small error between the theoretical model and test results illustrates the model's precision, offering valuable insights into the part of vegetation roots in improving slope stability.
Genetic determination of piglet survival upon PRRSV outbreaks
Authors: Font Joaquim Tarres , Jové-Juncà Teodor , Hernández-Banqué Carles , González-Rodríguez Olga , Ganges Llilianne , Gol Sofia , Díaz Marta , Reixach Josep , Pena Romi , Quintanilla Raquel , Ballester Maria
Published: June 2024

Breeding animals to produce more robust and disease-resistant pig populations becomes a complementary strategy to the more conventional methods of biosecurity and vaccination. The objective of this study was to explore the ability of a panel of genetic markers and immunity parameters to predict the survival rates during a natural PRRSV outbreak. Ten-week-old female Duroc pigs (n = 129), obtained from 61 sows and 20 boars, were naturally infected with a highly pathogenic PRRSV genotype 1 strain. Prior to infection, piglets were screened for immunity parameters (IgG levels in plasma and SOX13 mRNA expression in blood) and genetic markers previously associated to PRRSV immune response and immunity traits. Additionally, the 20 boars were genotyped with a panel of 132 single nucleotide polymorphisms (SNPs). Survival analysis showed that mortality was significantly higher for animals with low basal IgG levels in plasma and/or high SOX13 mRNA expression in blood. The genotypes of sires for SNPs associated with IgG plasma levels, CRP in serum, percentage of γδ T cells, lymphocyte phagocytic capacity, total number of lymphocytes and leukocytes, and MCV and MCH were significantly associated with the number of surviving offspring. Furthermore, CD163 and GBP5 markers were also associated to piglet survival. The effects of these SNPs were polygenic and cumulative, survival decreased from 94–21% as more susceptible alleles were accumulated for the different markers. Our results confirmed the existence of genetic variability in survival after PRRSV infection and provided a set of genetic markers and immunity traits associated with PRRS resistance.
Evaluation and comparison of autologous particulate dentin with demineralized freeze dried bone allograft in ridge preservation procedures – A prospective clinical study
Authors: Beldhi Manisha , Penmetsa Gautami S , Gottumukkala Sruthima NVS , KSV Ramesh , P Mohan kumar , Manchala Bhavya
Published: June 2024

Objectives
To compare the effectiveness of Autologous Particulate Dentin (APD) with Demineralized Freeze-Dried Bone Allograft (DFDBA) in ridge preservation, using radiographic and clinical parameters.
Materials and Methods
Thirty subjects with the indication of mandibular posterior teeth extraction were randomly assigned to either a test or control group. After atraumatic extraction, ridge preservation was performed using APD mixed with i-PRF in the test group and DFDBA mixed with i-PRF in the control group. Both groups had sockets sealed with an A-PRF membrane. Clinical parameters (plaque index, gingival index, healing index) and radiographic parameters (vertical ridge height, horizontal ridge width) were assessed at baseline and 6 months using CBCT.
Results
The test group exhibited a lesser reduction in ridge dimensions compared to the DFDBA group (p < 0.001). Both groups showed a significant decrease in ridge dimensions from baseline to 6 months (p < 0.001). There was no statistical difference in clinical parameters (plaque index, gingival index, healing index) between the groups at 6 months (p > 0.001).
Conclusions
APD grafts resulted in significant improvements in radiographic parameters, specifically in vertical ridge height and horizontal ridge width, compared to the DFDBA group.
Clinical Relevance
Autologous particulate dentin is a promising, versatile substitute for regenerative procedures. While more research on its long-term efficacy and application is needed, current evidence suggests it could significantly improve patient care and outcomes.
Factors affecting healthcare workers burnout and their conceptual models: a scoping review
Authors: Nagle Evija , Griskevica Inguna , Rajevska Olga , Ivanovs Andrejs , Mihailova Sandra , Skruzkalne Iluta
Published: June 2024

Background
The occupational stress that contributes to the development of burnout syndrome remains one of the greatest scientific challenges. Despite years of research into burnout and its determinants, burnout continues to attract the attention of researchers, and healthcare workers (HCWs) continue to experience burnout in large numbers. Burnout has a significant impact on both the mental and physical well-being of HCWs and reduces patient-centered healthcare. This review aims to identify the factors affecting healthcare workers’ burnout (FAHCWB) and their conceptual models.
Methods
The review was conducted according to Arksey and O'Malley's framework using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Searches were conducted in PubMed, Scopus, Wiley, ProQuest, Sage, Science Direct, and EBSCO using the following keywords: healthcare professionals, burnout, and internal/external factors. Empirical, qualitative, quantitative, and mixed-design research articles published in English with full-text access in peer-reviewed journals that investigated the FAHCWB were included. For an in-depth analysis of the included articles, the authors developed a data synthesis table, and thematic analysis was applied to the analysis.
Results

According to the inclusion criteria, 38 articles were selected
for further data analysis. Six main themes were identified: (1)
FAHCWB; (2) conceptual models of FAHCWB; (3) research tools for
studying FAHCWB; (4) findings on FAHCWB in the context of different
models; (5) differences between findings from different models; (6)
what is known and not known about FAHCWB. The results of the review
show that most researchers conduct research on factors affecting
burnout (FAB) based on factors related to the work environment,
with fewer studies based on individual factors, including
personality factors. Most of the research is based on the
model developed by Maslach et al. The Maslach Burnout Inventory
(MBI) has been used in most studies.

Conclusions
Despite years of research, burnout continues to evolve rapidly, indicating that scientific research needs to be re-focused. Research should be conducted using different conceptual models and new research tools that allow the syndrome to be studied from a multidimensional perspective, including both the work environment and individual factors.
The peripancreatic microbiota is associated with the severity of acute pancreatitis
Authors: Guo Xiaolan , Xu Yao , Li Kaiwei , Zhang Jingzhu , Tong Zhihui , Li Weiqin , Hong Donghuang
Published: June 2024

Background
Infectious pancreatic necrosis (IPN) is associated with the prognosis of acute pancreatitis (AP). The correlation between the microbial diversity in the peripancreatic region and the severity of AP remains unclear. The objectives of this study were to analyse the microbial composition of peripancreatic necrosis in IPN patients by 16S ribosomal RNA (16S rRNA) and internal transcribed spacer (ITS) sequencing.
Methods
Patients with acute pancreatitis who met the clinical diagnostic criteria for IPN were prospectively included. These patients were subsequently divided into a sepsis group and a non-sepsis group. Samples of peripancreatic necrotic fluid were collected by percutaneous puncture drainage, followed by 16S rRNA sequencing and internal transcribed spacer (ITS) sequencing.
Results
There was no significant difference between the sepsis and non-sepsis groups in terms of bacterial alpha diversity, and there was a significant difference in beta diversity according to the Welch's t test (P < 0.001), Adonis analysis (P = 0.037) and Anosim analysis (P = 0.032). The relative abundance of Klebsiella differed significantly between the two groups (2.79% vs. 34.14%, P = 0.0093) and correlated with the length of hospital stay (r = 0.422, P = 0.025).
Conclusion
The peripancreatic microbiota is associated with the severity of acute pancreatitis, with Klebsiella being the dominant microflora in patients with IPN combined with sepsis.
Innovative Nomogram Approach to Enhance the Prediction of Helicobacter pylori Infection in Children via Magnetic-Controlled Capsule Endoscopy
Authors: Wang Ling , Lin Kai , Cheng Weiwei , Wang Xing , Zhang Yong , Feng Yuling , Gu Zhujun , Liu Haifeng
Published: June 2024

Background
Early detection and intervention are crucial in managing Helicobacter pylori (HP) infections, which are associated with various gastrointestinal diseases in children. The traditional Kyoto gastritis scoring system, though effective, requires adaptation for non-invasive techniques like magnetic-controlled capsule endoscopy to enhance early diagnosis and improve patient comfort.
Methods
This retrospective study involved 474 pediatric patients who underwent magnetic-controlled capsule endoscopy coupled with a 13C urea breath test at the Children’s Hospital affiliated with Shanghai Jiao Tong University School of Medicine from January to December 2023. Utilizing the Kyoto gastritis scoring system, adapted for magnetic-controlled capsule endoscopy, we evaluated its effectiveness in diagnosing HP infection. To enhance diagnostic precision, a nomogram was developed that integrates these gastritis scores with demographic and clinical variables, providing a comprehensive tool for assessing the risk of HP infection.
Results
Our findings indicate that a Kyoto gastritis score of ≥ 2 has a high predictive accuracy for HP infection, with an area under the curve (AUC) of 0.755 (95% CI: 0.697–0.813). The study highlighted Kyoto gastritis score and white mucous as significant predictors of infection, with odds ratios of 5.94(95% CI: 3.40-10.49) and 2.78 (95% CI: 1.65–4.71), respectively. A predictive model incorporating these factors alongside demographic and clinical variables demonstrated robust diagnostic potential. The nomogram, incorporating these factors, showed robust diagnostic potential and improved the predictive accuracy.
Conclusions
The adapted Kyoto gastritis scoring system for magnetic-controlled capsule endoscopy offers a promising approach for the early detection of HP infection in children. By integrating multiple diagnostic indicators from non-invasive magnetic-controlled capsule endoscopy, this model enhances early diagnostic accuracy and can significantly reduce discomfort and risks associated with traditional endoscopic procedures.
The feasibility of point-of-care testing for initial uninary liver fatty acid-binding protein to estimate pathophysiological severity in severe heatstroke
Authors: Yokobori Shoji , Shimazaki Junya , Kaneko Hitoshi , Asai Hideki , Kanda Jun , Takauji Shuhei , Sato Eiichi , Ichibayashi Ryo , Fujita Motoki , Shiraishi Shinichiro , Shimizu Keiki , Yokota Hiroyuki
Published: June 2024

Rapid assessment of severity is crucial for timely intervention and improved patient outcomes in heatstroke (HS). However, existing biomarkers are limited in their accuracy and accessibility in prehospital / ER settings. A prospective study was conducted to assess urinary liver fatty acid-binding protein (L-FABP) levels using a point-of-care testing upon HS. Pathophysiological severity was estimated using initial Sequential Organ Failure Assessment (SOFA) scores, and outcomes were measured using modified Rankin Scale (mRS) scores. In 78 severe HS patients, urinary L-FABP concentrations were measured on admission, with a median concentration of 48.3 ng/mL. Positive correlation was observed between urinary L-FABP concentration and pulse rate (r = 0.300), lactate (r = 0.259), and initial SOFA score (r = 0.211). The POCT of L-FABP showed promise in predicting pathophysiological severity, as indicated by higher concentrations in patients with higher initial SOFA scores. Additionally, patients in the POCT positive group had significantly worse outcomes at discharge compared to the negative group, although this difference diminished over time. The study demonstrates the feasibility and potential utility of POCT for initial L-FABP in estimating pathophysiological severity in HS patients. This rapid and accessible testing method may aid in early field triage and intervention, ultimately improving patient outcomes in the management of HS.
Deep Learning-Enabled Ultrasound Radiomics for Accurate Prediction of Breast Cancer Lymph Node Metastasis
Authors: Wang Man , Huang Weijia , Wu Erlv , Cen Qishan , Gao Shichun , Li Zhiyu , Dang Dejing , Chen Yanlin , wang Jiancheng , Chen Yeyang , Yang Hong , Wang Ye
Published: June 2024

Background: Lymph node metastasis serves as a pivotal prognostic marker in breast cancer progression. The present study endeavors to devise a deep learning-driven ultrasound radiomics model for precise forecasting of lymph node metastasis in breast cancer patients.
Methods: A retrospective analysis was conducted on clinical and ultrasound imaging data of breast cancer patients diagnosed surgically and pathologically at our institution between January 2018 and January 2023. The dataset was randomly stratified into training and testing subsets at a 7:3 ratio. Initially, tumor ultrasound images of breast cancer patients were annotated. Subsequently, a pre-trained Densenet121 convolutional neural network(CNN) was employed to extract intricate features from the annotated images. Principal component analysis (PCA) and feature selection techniques were implemented to diminish the dimensionality of the extracted features. These features were then consolidated and optimized using various machine learning algorithms to predict lymph node metastasis. The optimal algorithm was chosen to estimate the probability of lymph node metastasis for each patient utilizing the ultrasound radiomics model. Univariate and multivariate analyses were further conducted on clinical features to identify independent predictors of lymph node metastasis in breast cancer. Ultimately, these clinical predictors were integrated with the prediction probability of the ultrasound radiomics model to formulate a clinical-ultrasound fusion model, whose predictive accuracy was assessed on the testing subset.
Results: The ultrasound radiomics model grounded in deep learning exhibited remarkable performance in forecasting lymph node metastasis in breast cancer. Among the tested algorithms, Logistic Regression (LR) outperformed its counterparts, attaining an AUC (95%CI) of 0.823 (0.775-0.872), along with a sensitivity of 0.835 and specificity of 0.699. Notably, the clinical-ultrasound fusion model further enhanced the predictive accuracy, achieving an accuracy of 0.796 in the training set and 0.820 in the testing set. Moreover, the AUC (95%CI) values were 0.863 (0.837-0.890) and 0.885 (0.847-0.922) for the training and testing sets, respectively, with corresponding sensitivities of 0.744 and 0.741, and specificities of 0.854 and 0.912.
Conclusion: This study successfully developed and validated a deep learning-based ultrasound radiomics model, which exhibited high predictive accuracy and stability in forecasting lymph node metastasis in breast cancer. This model provides clinicians with valuable insights, enabling them to make more personalized and informed treatment decisions for breast cancer patients.