bluuebunny/crossref_metadata_2025_split huggingface dataset:
Replenishment of landscape water with reclaimed water: threshold of hydraulic retention time employing transparency as a control indicator
Authors: Song Keying , Liu Qinghua , Wang Qian , Wu Yinhu , Chen Zhuo , Lu Yun , Hu Hong-Ying 
Published: May 2024

ABSTRACT

There exists a significant risk of water blooms during the utilization of recycled water in landscape environments. The nitrogen and phosphorus discharge standards of sewage treatment plants are very low. Controlling hydraulic retention time (HRT) is currently the most effective means to control water bloom. This article proposes a new method for determining the HRT threshold based on water transparency as a control indicator. The following results were obtained: (1) with the nitrogen and phosphorus concentrations of 15 and 0.5 mg/L, respectively, the threshold for HRT under high temperature and strong light is 4.6 days, while the threshold under low temperature and low light is 11.5 days. (2) With the nitrogen and phosphorus concentrations of 10 and 0.3 mg/L, respectively, the threshold for HRT under high temperature and strong light is 5 days, while the threshold under low temperature and low light conditions is 12.3 days. (3) The HRT threshold obtained under high temperature and strong light is lower than that obtained under low temperature and low light conditions. (4) The higher the concentrations of nitrogen and phosphorus, the smaller the HRT threshold obtained. (5) Blue algae have stronger adaptability than green algae and diatoms.
Advancing Novel Strategies against Post-surgical Tendon Adhesion Bands,
Exploring New Frontiers
Authors: Alaei Maryam , Abdulhasan Doaa Jawad-Kadhim , Barjasteh Amirhossein , Al-Asady Abdulridha Mohammed , Latifi Hanieh , Vahedi Ehsan , Avan Amir , Khazaei Majid , Ryzhikov Mikhail , Hassanian Seyed Mahdi 
Published: May 2024

Abstract:
Current interest in adhesion formation stems from its global impact on the function and quality of
life, spanning a spectrum of subtle impairments to significant disabilities, based on the affected area and the extent
of adhesion. Yet therapeutic agents are restricted to prophylactic anti-inflammatories, revision surgeries,
and biological and physical techniques, none of which grant a decent outcome. Recent advancements in tissue-
engineered biomaterials, drug delivery systems, and fabricating technologies such as nanoparticles, hydrogels,
and weaving or braiding demonstrate potential for improved outcomes. However, none of the mentioned
methods have reliable outcomes, thus this study aims to elucidate the mechanisms involved in the pathophysiology
of tendon adhesion and post-surgical adhesion band formation (PSAB), with a closer look at inflammatory
pathways stimulating the process. This article consolidates information on diverse therapeutic and prophylactic
methods and cutting-edge technologies, aiming to provide a comprehensive update on this topic, and providing
researchers an avenue for new and innovative ideas for further investigations.
Thiamine Hydrochloride: A Highly Efficient Organo-Catalyst for the One-Pot Synthesis of 2, 4, 5-Triaryl Imidazole Derivatives
Authors: Phatangare Kishor B. , Gadkari Yatin U. , Lomte Savita B. , S. Salim Simren , Telvekar Vikas N. 
Published: May 2024

Abstract:
In this study, we have developed an expeditious and efficient method for the synthesis of
2,4,5–triaryl imidazole derivatives using thiamine hydrochloride as a catalyst. The one-pot, solventfree-
multicomponent reaction of an aromatic/heterocyclic aldehyde with benzyl and ammonium acetate
at reflux conditions leads to the formation of title compounds in extremely good yields. This
protocol offers several features, such as safe, simple, atom efficient, economical, mild conditions,
minimum waste, easy work-up procedures, shorter reaction time (40-45 min), catalyst recyclability,
etc. The developed methodology is operationally simple and eco-friendly.
Deep Learning-enhanced Hyperspectral Imaging for the Rapid Identification
and Classification of Foodborne Pathogens
Authors: Ge Hanjing 
Published: May 2024

Background:
Bacterial cellulose (BC) is a versatile biomaterial with numerous applications,
and the identification of bacterial strains that produce it is of great importance. This study explores
the effectiveness of a Stacked Autoencoder (SAE)-based deep learning method for the classification
of bacterial cellulose-producing bacteria.

Objective:
The primary objective of this research is to assess the potential of SAE-based classification
models in accurately identifying and classifying bacterial cellulose-producing bacteria, with a
particular focus on strain GZ-01.

Methods:
Strain GZ-01 was isolated and subjected to a comprehensive characterization process,
including morphological observations, physiological and biochemical analysis, and 16S rDNA sequencing.
These methods were employed to determine the identity of strain GZ-01, ultimately recognized
as Acetobacter Okinawa. The study compares the performance of SAE-based classification
models to traditional methods like Principal Component Analysis (PCA).

Results:
The SAE-based classifier exhibits outstanding performance, achieving an impressive accuracy
of 94.9% in the recognition and classification of bacterial cellulose-producing bacteria. This
approach surpasses the efficacy of conventional PCA in handling the complexities of this classification
task.

Conclusion:
The findings from this research highlight the immense potential of utilizing nanotechnology-
driven data analysis methods, such as Stacked Autoencoders, in the realm of bacterial cellulose
research. These advanced techniques offer a promising avenue for enhancing the efficiency and
accuracy of bacterial cellulose-producing bacteria classification, which has significant implications
for various applications in biotechnology and materials science.
Studies on Quantitative Determination of Polyphenols in Seven Harvesting
Times of Salvia deserta Schang Leaves and its Stability Evaluation
Authors: Wang Linyang , Aikemu Ainiwaer , Wang Liwa , Tian Shuge 
Published: May 2024

Introduction:
Leaves of Salvia deserta Schang at seven harvesting times in the same year
were collected as the materials.

Method:
The polyphenols were determined by the Folin–Ciocaileu method and High-Performance
Liquid Chromatography (HPLC) to compare the quality of samples. The stability of polyphenols was
studied under different conditions (light, temperature, pH, common additives).

Results:
The results showed that the established method is fast, simple and reliable, which is fully
validated in terms of outstanding validation data. High Performance Liquid Chromatography (HPLC)
for the determination of total polyphenol content can be quickly and accurately detected, reducing
the error of manual determination of the content. The study of polyphenol stability was carried out
using a UV spectrophotometer (UV) in order to explore the potential factors affecting polyphenol
stability as much as possible and to make the study as scientific and rigorous as possible. The results
of quantitative determination showed that there are obvious differences in the content of polyphenols
in seven samples. The contents of total polyphenols, rosmarinic acid (RA) and caffeic acid (CA) in
the samples harvested in July reached the highest level of 41.37, 26.73 and 1.05 mg/g.

Conclusion:
The results of the stability assay found that light could damage the stability of polyphenols
in samples, especially UV light. Polyphenols are quite sensitive to high temperatures. While
polyphenols are less stable when exposed to high alkali conditions and salt treatment, they are much
more stable when subjected to low concentrations of redox agents, carbohydrates, and preservatives.
The developed methods and stability evaluation provide valuable basis information for quality evaluation
and the following use of polyphenols in S. deserta Schang leaves.
Feasibility of Multimodal Artificial Intelligence Using GPT-4 Vision for the Classification of Middle Ear Disease: Qualitative Study and Validation
Authors: Noda Masao , Yoshimura Hidekane , Okubo Takuya , Koshu Ryota , Uchiyama Yuki , Nomura Akihiro , Ito Makoto , Takumi Yutaka 
Published: May 2024

Background
The integration of artificial intelligence (AI), particularly deep learning models, has transformed the landscape of medical technology, especially in the field of diagnosis using imaging and physiological data. In otolaryngology, AI has shown promise in image classification for middle ear diseases. However, existing models often lack patient-specific data and clinical context, limiting their universal applicability. The emergence of GPT-4 Vision (GPT-4V) has enabled a multimodal diagnostic approach, integrating language processing with image analysis.

Objective
In this study, we investigated the effectiveness of GPT-4V in diagnosing middle ear diseases by integrating patient-specific data with otoscopic images of the tympanic membrane.

Methods
The design of this study was divided into two phases: (1) establishing a model with appropriate prompts and (2) validating the ability of the optimal prompt model to classify images. In total, 305 otoscopic images of 4 middle ear diseases (acute otitis media, middle ear cholesteatoma, chronic otitis media, and otitis media with effusion) were obtained from patients who visited Shinshu University or Jichi Medical University between April 2010 and December 2023. The optimized GPT-4V settings were established using prompts and patients’ data, and the model created with the optimal prompt was used to verify the diagnostic accuracy of GPT-4V on 190 images. To compare the diagnostic accuracy of GPT-4V with that of physicians, 30 clinicians completed a web-based questionnaire consisting of 190 images.

Results
The multimodal AI approach achieved an accuracy of 82.1%, which is superior to that of certified pediatricians at 70.6%, but trailing behind that of otolaryngologists at more than 95%. The model’s disease-specific accuracy rates were 89.2% for acute otitis media, 76.5% for chronic otitis media, 79.3% for middle ear cholesteatoma, and 85.7% for otitis media with effusion, which highlights the need for disease-specific optimization. Comparisons with physicians revealed promising results, suggesting the potential of GPT-4V to augment clinical decision-making.

Conclusions
Despite its advantages, challenges such as data privacy and ethical considerations must be addressed. Overall, this study underscores the potential of multimodal AI for enhancing diagnostic accuracy and improving patient care in otolaryngology. Further research is warranted to optimize and validate this approach in diverse clinical settings.
Assessing AI Awareness and Identifying Essential Competencies: Insights From Key Stakeholders in Integrating AI Into Medical Education
Authors: Moldt Julia-Astrid , Festl-Wietek Teresa , Fuhl Wolfgang , Zabel Susanne , Claassen Manfred , Wagner Samuel , Nieselt Kay , Herrmann-Werner Anne 
Published: May 2024

Abstract

Background
The increasing importance of artificial intelligence (AI) in health care has generated a growing need for health care professionals to possess a comprehensive understanding of AI technologies, requiring an adaptation in medical education.

Objective
This paper explores stakeholder perceptions and expectations regarding AI in medicine and examines their potential impact on the medical curriculum. This study project aims to assess the AI experiences and awareness of different stakeholders and identify essential AI-related topics in medical education to define necessary competencies for students.

Methods
The empirical data were collected as part of the TüKITZMed project between August 2022 and March 2023, using a semistructured qualitative interview. These interviews were administered to a diverse group of stakeholders to explore their experiences and perspectives of AI in medicine. A qualitative content analysis of the collected data was conducted using MAXQDA software.

Results
Semistructured interviews were conducted with 38 participants (6 lecturers, 9 clinicians, 10 students, 6 AI experts, and 7 institutional stakeholders). The qualitative content analysis revealed 6 primary categories with a total of 24 subcategories to answer the research questions. The evaluation of the stakeholders’ statements revealed several commonalities and differences regarding their understanding of AI. Crucial identified AI themes based on the main categories were as follows: possible curriculum contents, skills, and competencies; programming skills; curriculum scope; and curriculum structure.

Conclusions
The analysis emphasizes integrating AI into medical curricula to ensure students’ proficiency in clinical applications. Standardized AI comprehension is crucial for defining and teaching relevant content. Considering diverse perspectives in implementation is essential to comprehensively define AI in the medical context, addressing gaps and facilitating effective solutions for future AI use in medical studies. The results provide insights into potential curriculum content and structure, including aspects of AI in medicine.
Hvorfor velger elever på videregående skole programfaget psykologi?
Authors: Busch Mari Veierud 
Published: May 2024

Psykologi er blitt et svært populært programfag blant elever på studiespesialiserende utdanningsprogram. Det er tre hypoteser om hvorfor elever velger psykologi: (1) At det er et fag det er lett å få gode karakterer i, rigour hypothesis, (2) at elever med psykiske utfordringer velger faget som verktøy for selvterapi, therapy hypothesis, og (3) at faget velges fordi det oppfattes som et interessant fag, sexy subject hypothesis. I denne studien er det gjort en hybrid tematisk analyse av 196 tekstsvar, samlet inn i skoleårene 2017– 2018 til 2020–2021 fra 157 elever, om hvorfor de har valgt psykologi. 103 av elevene har ikke hatt faget tidligere, mens 54 har ett års erfaring med faget. Henholdsvis 83,5 og 90,7 prosent oppgir å ha valgt faget på bakgrunn av interesse, mens 4,9 og 5,6 prosent oppfatter det som et lett fag. 8,7 og 3,7 prosent har valgt faget som følge av egne psykiske utfordringer. I denne studien er det videre undersøkt hva det er i psykologifaget elevene finner interessant. I tillegg til at elevene uttrykker en generell interesse for psykologifaget, oppgir de at de oppfatter faget som relevant for eget liv både med tanke på å forstå seg selv, å samhandle med andre, som forberedelse til fremtidig studie/yrke og for å lære mer om psykisk helse.
ENGLISH ABSTRACT
Why psychology is a popular choice in upper secondary school in Norway
Psychology is a popular subject among students in upper secondary school. There are three hypotheses on why students choose psychology: (1) The subject is perceived to be an easy subject, «Rigour hypothesis», (2) students use the subject as a form of self- therapy, «Therapy hypothesis», and (3) interest in the subject content, «Sexy subject hypothesis». In this study, 196 short texts from 157 students stating their motivation for choosing psychology were collected from school year 2017–2018 to 2020–2021 and analysed using a hybrid thematic method. For students who have no previous experience with the subject (n = 103), 83.5 per cent chose the subject out of interest, 4.9 per cent perceived it as an easy subject, and 8.7 per cent expressed that they chose the subject due to mental health challenges. For students with one year experience (n = 54), the choice was motivated by interest for 90.7 per cent of the students, while 5.6 per cent chose it because they perceived it as an easy subject, and 3.7 per cent chose the subject due to mental health challenges. In this study, it is further investigated what it is in psychology that the students find interesting. In addition to the students expressing a general interest in the subject of psychology, they state that they perceive the subject as relevant to their own lives both in terms of understanding themselves, interacting with others, as preparation for future study/profession and to learn more about mental health.
Choosing the Therapeutic Strategy in Gastroesophageal Reflux Disease in Pediatric Patients: Is it a Challenge for Clinicians?
Authors: Costin Silvia Aura , Tanase Claudiu Elisei , Balta Alexia Anastasia , Barbu Raisa-Eloise , Ciortea Diana-Andreea , Stefanopol Anca , Hagi Andreea Mechi , Filip Anamaria Madalina 
Published: May 2024

Abstract
Gastroesophageal reflux disease (GERD) affects 8-33% of individuals worldwide, independent of age or gender. Diagnosis relies on mucosal lesions or symptomatic discomfort, validated by proton pump inhibitor (PPI) response. Lyon Consensus categorizes diagnostic tests as supportive, refuting, or inconclusive. A retrospective cohort study on 78 pediatric subjects at the ‘Sfântul Ioan’ Galați Hospital (February 2018-October 2020) aimed to assess GER incidence and management principles. Data analyzed using SPSS v26 revealed urban predominance (66.7%) and varied age distribution (1 month to 18 years), with heartburn as a prevalent symptom. Treatment modalities included antacids, PPIs, H2RAs, and prokinetics. Symptom relief and therapeutic response guided management, with PPIs commonly administered. This study underscores the need for comprehensive GERD diagnosis and tailored therapeutic strategies in pediatric populations.
Health-related fitness knowledge, physical activity attitude and physical activity in secondary school students: A mediation analysis
Authors: Çimen Murat , Alp Mahmut , Kızılet Tuba 
Published: May 2024

Abstract

Study aim: The aim of this study was to examine the mediating role of secondary school students’ physical activity attitudes between health-related fitness knowledge (HRFK) and physical activity (PA).

Materials and methods: The research employed a quantitative research method, using the relational survey model. The participants of the study consisted of a total of 603 (female = 295, male = 308) secondary school students from six different secondary schools in Isparta and Burdur provinces in the fall semester of the 2023–2024 academic year. The data of the study were collected with a personal information form, the Turkish HRFK Test, the Physical Activity Attitude Scale for Secondary School Students and the Physical Activity Questionnaire for Older Children (PAQ-C). The analysis of the data was made using the Process Macro v3.3 plug-in with model 4 and 5000 resampling methods with a 95% confidence interval.

Results: It was found that students’ HRFK had significant positive effect on their physical activity attitudes and physical activities. It was observed that physical activity attitudes also positively affected physical activity. Additionally, physical activity attitudes were found to have a mediating role between HRFK and physical activity.

Conclusions: To conclude, it was found that secondary school students’ HRKF affected their participation in physical activity. However, our research showed that the effect of HRFK on physical activity of secondary school students may occur indirectly through physical activity attitudes. It can be concluded that the HRFK level of secondary school students is important for participation in physical activity.
PENGARUH WORK-LIFE BALANCE DAN JOB BURNOUT TERHADAP INTENTION TO QUIT DENGAN PSYCHOLOGICAL DISTRESS SEBAGAI VARIBEL MEDIASI
Authors: Mulvi Adika Nurul Aulia , Emilisa Netania 
Published: May 2024

<p>Adanya perubahan perilaku konsumsi pada masyarakat saat ini akan berdampak pada penurunan pendapatan perusahaan ritel dan secara tidak langsung hal itu akan berdampak pula pada perubahan sifat para pekerjanya. Dengan munculnya tekanan pada pekerjaan akan membuat pekerja merasakan tidak adanya keseimbangan pada pekerjaan yang akan menyebabkan <em>Burnout</em> sehingga akan berujung pada <em>Intention to Quit</em> yang biasanya didukung dengan adanya tekanan psikis yang dialami pekerja jika pekerja merasa bahwa sudah tidak sanggup lagi untuk memenuhi tuntutan perusahaan. Dengan menggunakan <em>Psychological Distress </em>sebagai variabel mediasi, tujuan dari penelitian ini untuk mengamati bagaimana pengaruh <em>Work-Life Balance </em>dan<em> Job Burnout </em>terhadap <em>Intention to Quit. </em>Dengan metode kuantitatif dan data <em>cross-sectoional </em>yang diambil dengan cara sampel <em>purposive</em><em>. </em>120 responden berpartisipasi pada penelitian ini yang merupakan karyawan perusahaan ritel pada Kelurahan Penjaringan dikumpulkan dengan menyebarkan kuesioner secara elektronik. Analisis data menggunakan statistik deskriptif dengan alat analisis menggunakan SEM-SPSS 21 dan SEM-AMOS 24. Didapat kesimpulan yang menunjukkan bahwa <em>Work-life Balance </em>tidak mempengaruhi secara negatif terhadap <em>Job Burnout</em>, <em>Job Burnout </em>dapat mempengaruhi secara positif terhadap <em>Psychological Distress</em>, <em>Job Burnout </em>memiliki pengaruh positif terhadap <em>Intention to Quit</em>, <em>Psychological Distress </em>tidak mempunyai pengaruh negatif terhadap <em>Intention to Quit</em>, <em>Work-life Balance </em>dapar mempengaruhi secara negatif terhadap <em>Intention to Quit</em> yang dimediasi oleh <em>Job Burnou</em><em>t </em>dan<em> Job </em><em>Burnout</em> tidak dapat mempengarui secara positif antara <em>Intention to Quit </em>yang dimediasi oleh <em>Psychological Distress</em><em>.</em></p>
STRUKTUR MODAL INVESTASI PERUSAHAAN DENGAN PENGUNGKAPAN LINGKUNGAN SEBAGAI VARIABEL MODERASI
Authors: Putri Ika Swasti , Amalia Naini Rizka 
Published: May 2024

<p>Penelitian ini bertujuan untuk menyelidiki pengaruh struktur modal dan keputusan investasi terhadap nilai perusahaan, dengan pengungkapan lingkungan sebagai variabel moderasi pada perusahaan di sektor energi (minyak, gas, dan batu bara) di Indonesia. Hasil penelitian menunjukkan bahwa: Struktur modal tidak berpengaruh signifikan terhadap nilai perusahaan. Pengungkapan lingkungan memoderasi secara signifikan hubungan antara struktur modal dan nilai perusahaan. Pengungkapan lingkungan yang transparan dapat memperkuat persepsi pemangku kepentingan dan meningkatkan nilai perusahaan. Keputusan investasi tidak berpengaruh signifikan terhadap nilai perusahaan. Pengungkapan lingkungan tidak memoderasi secara signifikan hubungan antara keputusan investasi dan nilai perusahaan. Temuan ini menekankan pentingnya pengungkapan lingkungan dalam mempengaruhi persepsi pemangku kepentingan, keputusan investasi, dan pada akhirnya nilai perusahaan di sektor energi yang sensitif terhadap lingkungan.</p>
PENGARUH HERDING DAN LITERASI KEUANGAN ATAS KEPUTUSAN INVESTASI DENGAN DIMODERASI VARIABEL RELIGIUSITAS
Authors: Putra Gilang Kharisma 
Published: May 2024

<em>This study aims to examine the influence of herding and financial literacy on investment decisions with religiosity as a moderation variable. Religiosity is the focus of this study which is expected to strengthen the relationship of financial literacy variables to investment decision variables and weaken the relationship of herding variables to investment decision variables. This is considered necessary because it is suspected that investors with aspects of good religiosity allegedly tend not to be speculative and prioritize rationality in their actions. The method used in this study is quantitative method with primary data. Using a purposive sampling approach. With the criteria, respondents must be students of the Faculty of Economics and Business, Selamat Sri University, Kendal regency who are taking investment and portfolio management courses, it was found that the sampling to be used in this study was 98 students. This study used two independent variables, one dependent variable and one moderating variable. Herding and financial literacy were chosen to be independent variables, investment decisions were chosen to be dependent variables while religiosity was chosen to be moderation variables. Data is processed using SEM analysis with smartPLS 4.0 application tools. The results of this study show that the two independent variables, namely financial literacy and herding, have a significant positive effect on investment decisions, while religiosity as a moderation variable has not been able to strengthen or weaken the relationship between exogenous and endogenous variables. </em>