bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple-objective control of stormwater basins using deep reinforcement learning
Authors: Song Zichun , Tian Wenchong , He Wei , Chu Shanpeng 
Published: November 2024

ABSTRACT

Stormwater basins are important stormwater control measures which can reduce peak flow rate, mitigate flooding volume, and improve water quality during heavy rainfall events. Previous control strategies for stormwater basins have typically treated water quality and quantity as separate objectives. With the increasing urban runoff caused by climate change and urbanization, current single-objective control strategies cannot fully harness the control potential of basins and therefore require improvement. However, designing multi-objective control strategies for basins is challenging because of the conflicting operation goals and the complexity of the dynamic environmental conditions. This research proposes a novel real-time control strategy based on deep reinforcement learning to address these challenges. It employs a deep Q-network to develop an agent capable of making control decisions. After being trained on three different rainfall events, the reinforcement learning agent can make appropriate decisions for previously unseen rainfall events. Compared to the other two rule-based control scenarios and a static state scenario, the deep reinforcement learning method is more effective in terms of reducing total suspended solids, reducing peak flow, minimizing outflow flashiness, and controlling effort, striking a good balance between conflicting control objectives.
Application of geospatial and machine learning algorithms to predict (under certain limitations) the quality of groundwater used for irrigation purposes
Authors: Raheja Hemant , Goel Arun , Pal Mahesh 
Published: November 2024

ABSTRACT

The main objective of the present study is to evaluate groundwater quality for irrigation purposes in the central-western part of Haryana state (India). For this, 272 groundwater samples were collected during the pre- and post-monsoon periods in 2022. Several indices, including SAR, PI, Na%, KR, magnesium adsorption ratio (MAR), and IWQI were derived. The results of SAR, Na%, and KR values indicate that the groundwater is generally suitable for irrigation. On the other hand, PI and MAR exceeded the established limits, primarily showing issues related to salinity and magnesium content in the groundwater. Furthermore, according to the IWQI classification, 47.06 and 25% of the total collected samples fell under the ‘severe restriction for irrigation’ category during the pre-monsoon and post-monsoon periods, respectively. Spatial variation maps indicate that water quality in the western portion of the study area is unsuitable for irrigation during both periods. Three ML algorithms, namely RF, SVM, and XGBoost were integrated and validated to predict the IWQI. The results revealed that the XGBoost with random search achieves the best prediction performances. The approaches established in this study have been confirmed to be cost-effective and feasible for groundwater quality, using hydrochemical parameters as input variables, and highly beneficial for water resource planning and management.
Molecular Targets and Nano-Technological Approaches in the Treatment of Hepatic Carcinoma
Authors: Satapathy Trilochan , Diwakar Maneesh Kumar 
Published: November 2024

Abstract:
Liver cancer is a leading cause of cancer-related mortality, with about one million people losing their lives each year. The disease becomes even more dangerous when tumors cannot be removed through surgery. Globally, hepatocellular carcinoma (HCC) ranks third in terms of fatality rates among liver cancers. It is also the most frequent type of liver cancer. Due to the high mortality rate associated with this malignancy, it is a hotspot for researchers looking to improve treatment methods. Nanotechnology plays an important part in these at-tempts. Various types of nanoparticles (NPs) have been investigated for their ability to fight liver cancer. NPs are a vast class of materials. The article details the efforts made to include inorganic NPs, such as silver, gold, metal oxide, platinum, calcium, selenium, and other un-common materials into drug delivery systems (DDS) for therapeutic, carrier, or imaging pur-poses. This review discusses the function of carbon-based NPs in DDS for the treatment of liver cancer, including polymeric, polysaccharide, lipid, and carbon dot NPs, all of which have been extensively researched for this purpose. The purpose of this review is to provide a con-cise overview of recent developments in the field of HCC based on current research and clini-cal diagnosis and treatment guidelines. Further goals include elucidating the current state of nanomaterials research, its limitations, and the potential for future advancements in the field, as well as the use of nanotechnology in the detection and treatment of HCC.
Effective Classification of Citrus Medica L. Var. Sarcodactylis from Different Origins by ICP-MS
Authors: Xiang Shirong , Tian Runyu , Zhao Siyu , Zhang Xiaobin , Ni Maojun , Dai Guobiao , Fang Weizhen , Jiang Hezhong 
Published: November 2024

Objective:
The use of microwave digestion coupled with inductively coupled plasma
mass spectrometry (ICP-MS) to measure the content of metal elements in Citrus Medica L. var. sarcodactylis
from different regions serves as a reference for tracing its origin and provides a basis for
quality control and safety assessment of its heavy metal content.

Methods:
After microwave digestion of Citrus Medica samples, metal element contents from different
regions were determined using ICP-MS, with methodological investigations conducted. A diverse
statistical analysis was performed to explore the relationship between geographical distribution
of Citrus Medica and metal element contents. Additionally, safety assessments were conducted using
single factor pollution index and Nemerow comprehensive pollution index methods for several heavy
metal elements.

Results:
The contents of elements such as Mg, Fe, and Al are relatively high in Citrus Medica.
Characteristic differences in elements like Al, Ni, Mg, Cr, Sr, and Zn among samples from different
regions are evident. Principal component analysis (PCA) indicates that samples from Sichuan Province
can be clustered by origin. Elements including Ni, Co, Al, As, Cu, and Fe may contribute significantly
to distinguishing Citrus Medica from different regions. Pollution assessments for several
heavy metals conclude that Citrus Medica samples are safe and clean.

Conclusion:
The ICP-MS method is rapid and accurate, capable of simultaneous measurement of
multiple metal elements in Citrus Medica. Combined with multivariate statistical analysis, it facilitates
origin tracing studies of Citrus Medica from various regions, particularly enabling effective
differentiation of those from Sichuan Province.
PENGARUH VARIASI KADAR PROTEIN TOTAL PAKAN BERBAHAN DASAR AMPAS TAHU, BEKATUL, DAN TEPUNG TERIGU TERHADAP PRODUKSI KOKON CACING TANAH (Eudrilus eugeniae)
Authors: Sari Yusi Novita , - Suhandoyo 
Published: November 2024

Abstrak. Tujuan penelitian adalah untuk mengetahui produksi kokon cacing tanah Eudrilus eugeniae karena pemberian variasi kadar protein total pakan berbahan dasar ampas tahu, bekatul, dan tepung terigu. Objek penelitian yang digunakan adalah cacing afrika (Eudrilus eugeniae) yang telah memiliki klitelium dan dipelihara dalam media onggok aren dengan 4 perlakuan dan 5 ulangan, yaitu kadar protein total 13,79%, 14,65%, 15,51%, dan 16,37%. Biomassa awal cacing Afrika untuk setiap media adalah 16 gram. Penelitian dilakukan selama 2 bulan. Parameter dalam penelitian ini adalah jumlah, bobot, dan indeks kokon. Jumlah kokon dianalisis menggunakan uji ANOVA, sedangkan bobot dan indeks kokon dianalisis menggunakan Uji Korelasi. Hasil penelitian menunjukkan bahwa produksi kokon cacing tanah Eudrilus eugeniae dipengaruhi oleh perbedaan pemberian variasi kadar protein pakan berbahan dasar ampas tahu, bekatul, dan tepung terigu (p0,01). Uji Korelasi menunjukkan adanya hubungan yang erat antara bobot dan indeks kokon cacing tanah Eudrilus eugenaie dengan koefisien korelasi 0,713. Kata kunci: Eudrilus eugeniae, kokon, protein, indeks, bobot, produksi.
Future Orientation Predicts BYOB (Bring Your Own Shopping Bags) Behavior Intention: The Mediation Effects of Perceived Importance and Ethical Judgement
Authors: Jiang Tao 
Published: November 2024

More and more environmental pollution problems make sustainability development and green behavior receive an increasing amount of attention. Green behaviors are often characterized by sacrificing immediate costs to achieve future benefits. We studied on the relationship between time orientation and one of the typical and universal green behavior: bring your own shopping bags (BYOB). Both a unidimensional Consideration of Future Consequences Scale (CFCS) and a two factors CFCS (immediate orientation (CFC-Immediate) and future orientation(CFC-Future)) were used to measure time orientation. We found that future orientation (CFC-Future) could positively predict BYOB intention, but immediate orientation(CFC-Immediate) and future time orientation measured by unidimensional CFCS show no significant effect on BYOB intention. Also perceived importance of BYOB, ethical judgement of BYOB both have positive effects on BYOB intention. Moreover, the empirical result showed that perceived importance played a partial mediation role between future orientation(CFC-Future) and BYOB intention, ethical judgement played a partial mediation role between perceived importance and BYOB intention. A fuzzy-set qualitative comparative analysis (fsQCA) showed the combination of future orientation, perceived importance and ethical judgement played significant role in BYOB intention. In theoretical contribution, we underline the mechanism of future orientation(CFC-Future) on BYOB intention, and from the ethical concept of BYOB, we also found other antecedent for ethical judgement and behavior intention: perceived importance of the ethical issue. In practical implication, we can manipulate consumers’ future orientation and perceived importance of BYOB and to increase BYOB behavior in the real life.
Using the Review Process to Professionally Develop Auditors
Authors: Andiola Lindsay M. , Brazel Joseph F. , Downey Denise Hanes , Schaefer Tammie J. 
Published: November 2024

SUMMARY
In this article, we provide a practitioner summary of our paper “Coaching today’s auditors: What causes reviewers to adopt a more developmental approach?” (Andiola, Brazel, Downey, and Schaefer 2024). In our study, we examine workpaper review by supervising audit seniors as a quality control mechanism intended to detect audit preparer (staff) errors in the short term and professionally develop preparers in the long term. We find that reviewers adopt a more developmental approach when reviewing workpapers completed by local preparers. We also observe that, regardless of office affiliation, reviewers are apt to adopt a more developmental approach when preparers are likely to recur. Our results also indicate that reviewers who adopt a more developmental approach exhibit greater coaching in their actual review comments and are also more likely to detect preparers’ errors. We summarize our key findings and discuss practical implications and actionable suggestions for audit practitioners.
Data Availability: Contact the authors.
JEL Classifications: L2; M40; M42; M51.
PENERAPAN MODEL PEMBELAJARAN ADVANCE ORGANIZER BERBANTUAN ARTIFICIAL INTELLIGENCE (AI) TERHADAP PENINGKATAN PEMAHAMAN KONSEP MAHASISWA PENDIDIKAN FISIKA UNIVERSITAS SULAWESI BARAT
Authors: Amir Faizal , Saddia Andi 
Published: November 2024

Abstrak: Penelitian ini berfokus untuk mengetahui pengaruh dari implementasi sebuah model pembelajaran yaitu advance organizer (AO) berbantuan Artificial Intelligence (AI) berupa ChatGPT terhadap peningkatan kemampuan pemahaman konsep fisika pada mahasiswa di Universitas Sulawesi Barat, dibandingkan dengan pembelajaran model kolaboratif. Metode yang digunakan adalah penelitian Quasi experiment (Eksperimen Semu) dengan Non_equivalent Control Group Design . Kelompok eksperimen menggunakan advance organizer berbantuan ChatGPT, sementara kelompok kontrol menggunakan model kolaboratif. Data dianalisis dengan memakai statistik deskriptif, Uji t berpasangan, uji t independen (sampel bebas), serta analisis Gain Normalized (N-gain). Hasilnya menunjukkan bahwa kelompok eksperimen mengalami peningkatan pemahaman konsep secara signifikan dengan perolehan skor rata-rata post-test 60,72 dan N-Gain 0,599 (sedang), sedangkan kelompok kontrol memiliki rata-rata post-test 45,65 dan N-Gain 0,036 (rendah). Hasil dari uij hipotesis (uji T) diperoleh signifikansi sebesar 0,000 yang berarti data ini menunjukkan adanya perbedaan secara siginifikan. Kesimpulannya, penggunaan advance organizer berbantuan AI ternyata efektif untuk meningkatkan kemampuan memahami (pemahaman konsep) dibandingkan pembelajaran model kolaboratif Kata Kunci: Advance Organizer, Artificial Intelligence, Pemahaman Konsep, Model Pembelajaran, ChatGpt Abstract: This research focuses on knowing the effect of implementing a learning model, namely advance organizer (AO) assisted by Artificial Intelligence (AI) in the form of ChatGPT on improving the ability to understand physics concepts in students at the University of West Sulawesi, compared to collaborative learning models. The method used was Quasi experiment research with Non_equivalent Control Group Design. The experimental group used advance organizer assisted by ChatGPT, while the control group used collaborative model. Data were analyzed using descriptive statistics, paired t-test, independent t-test (independent samples), and Normalized Gain (N-gain) analysis. The results showed that the experimental group experienced a significant increase in concept understanding with an average post-test score of 60.72 and N-Gain of 0.599 (medium), while the control group had an average post-test of 45.65 and N-Gain of 0.036 (low). The results of the hypothesis testing (T-test) obtained a significance of 0.000 which means this data shows a significant difference. In conclusion, the use of advance organizer assisted by AI was effective to improve the ability to understand (concept understanding) compared to collaborative learning model. Keywords: Advance Organizer, Artificial Intelligence, Conceptual Understanding, Learning Model, ChatGpt
PENGEMBANGAN TRAINER SISTEM MIKROPROSESOR BERBASIS INTERNET OF THINGS
Authors: Isnaini Muhammad , Hutahaean Harvei Desmon , Waluyo Bakti Dwi , Solihin Muhammad Dani , Sulaiman Muhammad 
Published: November 2024

Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan alat pembelajaran berbasis mikroprosesor yang didukung oleh teknologi Internet of Things (IoT) di program studi Pendidikan Teknik Elektro, Fakultas Teknik, Universitas Negeri Medan. Alat ini dirancang untuk membantu mahasiswa memahami integrasi mikroprosesor dengan IoT, yang semakin relevan dalam konteks revolusi industri 4.0. Penelitian menggunakan metode Research and Development (R&D) dengan pendekatan ADDIE, yang mencakup tahap Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Trainer ini menggunakan modul NodeMCU ESP8266 versi 5 yang dilengkapi dengan konektivitas Wi-Fi guna mendukung fungsi IoT. Validasi dilakukan oleh ahli materi dan media, serta diujicobakan secara terbatas pada mahasiswa. Hasil penelitian menunjukkan trainer ini sangat layak digunakan, dengan penilaian 86% dari ahli materi, 85,6% dari ahli media, serta kepuasan pengguna mencapai 85,4%. Selain itu, penggunaan trainer ini secara signifikan meningkatkan pemahaman konsep dan keterampilan praktis mahasiswa, terlihat dari kenaikan hasil post-test sebesar 32% dibandingkan pre-test. Kesimpulannya, trainer berbasis IoT ini efektif dan layak dijadikan media pembelajaran dalam pendidikan teknik. Kata Kunci: Trainer, Mikroprosesor, Internet of Things, Media Pembelajaran Abstract : This research aims to design and develop microprocessor-based learning tools supported by Internet of Things (IoT) technology in the Electrical Engineering Education study program, Faculty of Engineering, State University of Medan. This tool is designed to help students understand the integration of microprocessors with IoT, which is increasingly relevant in the context of the industrial revolution 4.0. This research uses the Research and Development (R&D) method with the ADDIE approach, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. This trainer uses a NodeMCU module ESP8266 version 5 equipped with Wi-Fi connectivity to support IoT functions. Validation is carried out by material and media experts, and tested on a limited basis to students. The results of the study show that this trainer is very feasible to use, with 86% assessment from material experts, 85.6% from media experts, and user satisfaction reaching 85.4%. In addition, the use of this trainer significantly improved students' understanding of practical concepts and skills, as evidenced by a 32% increase in post-test results compared to pre-tests. In conclusion, this IoT-based trainer is effective and worthy of being used as a learning medium in engineering education. Keywords: Trainer, Microprocessor, Internet of Things, Learning Media
Study on the precise positioning technique of intra-auricular microsurgery robot
Authors: McAteer Xiulin Wang Shan Cecilia 
Published: November 2024

Abstract
In order to solve the influence of factors such as the lack of stereo-depth vision and haptic feedback in traditional intraauricular medical surgeries, this paper proposes a robotic approach to intra-auricular microsurgery and realizes precise positioning in intra-auricular surgeries. Vector analysis is used to establish an inverse kinematics model based on the center point of far motion, and the RCM is applied as the immobile point to determine the center position of the robot after motion. Based on the generalized Hamiltonian system, the Hamiltonian function is utilized as the Lyapunov function to reduce cumbersome calculations, and the Lagrangian dynamics method is applied to calculate the microrobot dynamics equations, and the microlocalization operation is accomplished for the robot through the controller. Fifteen in-vivo animal experiments were carried out by collaborating with S Hospital in Shanghai, China, using the intra-auricular surgical robot. The preoperative preparation time ranged from 16 to 46 minutes, and decreased with the increase in the number of surgical experiments. The average surgical time of the 15 cases of intra-auricular surgical experiments in experimental pigs was 32.11 min, and the surgical efficiency was high. The bleeding volume of the experimental pigs was only in the range of 7~26 ml, and all the experimental pigs woke up within 1 hour after the operation, resumed normal feeding smoothly and achieved full recovery within 6~10 days.
Evaluation of the Therapeutic Effects of Serratiopeptidase in Chicks
Authors: Naser Ahmed S. , Albadrany Yasser M. 
Published: November 2024

Abstract
Serratiopeptidase is a zinc-containing metalloprotease primarily obtained from Serratia marcescens isolated from the silkworm guts. This study aimed to assess the antinociceptive, anti-inflammatory, and antipyretic effects of serratiopeptidase in hen chicks. It included 104 hen chicks weighing 70-90 g. The antinociception efficacy was assessed by electrical-stimulation and hot-water test. Anti-inflammatory efficacy was assessed by formalin test. Assessment of therapeutic and antipyretic efficacy was determined by Baker’s yeast-induced pyrexia test. In the electrical-stimulation test, 20 and 40 mg/kg of serratiopeptidase induced an antinociceptive effect in 15% and 18%, respectively. In the hot-water test, this effect was observed in 31 and 82%, respectively. In the first phase of the formalin test, an antinociceptive effect was observed for both doses, whereas in the second stage, an anti-inflammatory effect was observed in 56% and 62%, respectively. Serratiopeptidase produced a novel antipyretic effect for both doses on the Baker’s-yeast test, pre- and post-injection of the yeast. It was concluded that serratiopeptidase had good activity against pain and acute inflammation, and for the first time, it was demonstrated that serratiopeptidase ameliorated and prevented hyperthermia.
Learning Innovation: PBL-STEM 4H Ecobrick material Teaching for 7th Graders to Enhance Ecoliteracy
Authors: Hapipah Hepi , Rubini* Bibin , Permanasari Anna , Kodama Yayoi , Rachman Indriyani 
Published: November 2024

Teaching materials that accommodate innovative learning to improve environmental literacy are currently essential. Development research has been conducted to develop and examine the effectiveness of ecobrick theme teaching materials in improving student ecoliteracy. The teaching materials are packaged with the PBL-STEM 4H model (project based learning- science, technology, engineering, and mathematics - head, heart, hand, and harmony). The research employs research and development method and ADDIE design (analysis, design, development, implementation, and evaluation). This research uses interview guidelines, observation questionnaire sheets, and environmental literacy instruments as research instruments. In the development stage, this research employs several science teachers in the Sukabumi Regency, as determined by purposive sampling. In the implementation stage, 7th-grade students of one secondary school in West Java were tested to evaluate the effectiveness of the teaching materials in improving eco-literacy. Teaching materials were developed using PBL-STEM learning steps characterized by 4H values. The teaching materials' validation results show high validity with a feasibility score of 87.2, including a very valid category. The CVI (content validity index) and CVR (content validity ratio) indexes of 0.995 and 0.990 are included in the valid category. Teacher response to teaching materials reaches 90.05, including the outstanding category. The implementation results show that using the developed teaching materials during learning can improve student eco-literacy.