bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Informasi Geografis Lokasi Dan Rute Objek Wisata Kabupaten Tapanuli Tengah Menggunakan Metode Dijkstra
Authors: Sibuea Grase Latifah , Suendri Suendri
Published: February 2025

Geographic Information Systems (GIS) are systems that integrate geographic data with non-geographic data, allowing users to visualize, analyze and interpret spatial information more efficiently. This research aims to design and implement a Geographic Information System (GIS) that is effective and easy to use to map the location of tourist attractions and determine the shortest route to these destinations in Central Tapanuli Regency using the Dijkstra algorithm. This GIS allows tourists to visualize, analyze and access spatial information related to tourist locations and get recommendations for the best routes based on distance, travel time and road conditions. This system consists of an admin interface to manage tourist attraction data, nodes, and path graphs, as well as a user interface to view tourist lists, galleries, and search for nearby routes. The implementation of GIS and the Dijkstra algorithm is expected to improve the tourist experience, facilitate travel planning, and increase accessibility to tourist destinations in Central Tapanuli Regency, so that tourism potential in the area can be optimized and encourage regional economic growth.
Optimalisasi Penggunaan, Pemanfaatan, Pemindahtanganan, Pemusnahan, dan Penghapusan Barang Milik Daerah
Authors: Susanto Sugeng , Ikraman Ikraman , Sunarya Po Abas
Published: February 2025

The purpose of this research is to minimize potential losses and ensure that the rental process of assets owned by the South Tangerang City Government is carried out efficiently and in accordance with applicable regulations by identifying potential risks that may arise in the process of renting local assets, such as the risk of damage to goods, legal non-compliance, or financial risk. The methodology used in the study of risk profiles and risk management patterns in projects utilizes the COSO method in this case, activities such as Focus Group Discussions (FGD) and field surveys are conducted for verification Stakeholders involved in the FGD activities include Government Agencies, Businesses, Academics, and Practitioners. The risk of renting local government property has important implications for the local government Some of the implications that may arise, as well as recommendations for managing these risks, include risk implications and risk management recommendations Taking the risk of renting local government property seriously and implementing these recommendations can help the local government manage risks better and maintain stability and reputation in rental operations.
Pengembangan Aplikasi Android Untuk Konversi Gambar ke Teks dengan Flutter dan OCR Menggunakan Metode Jaro-Winkler
Authors: Harahap Rifqi Aldy Al Hafizh , Fauziah Fauziah , Sari Ratih Titi Komala
Published: February 2025

The need for tools for effective image to text conversion is increasing as a result of increasing reliance on mobile applications for daily activities and constraints in cross-platform application development. Addressing this demand by creating an Android application that uses Flutter and Optical Character Recognition (OCR) technology is the focus of this research. In particular, Jaro Winkler's method, which improves the accuracy of text extraction, is the main focus of this research. The research methodology uses a systematic approach, starting with a literature review to create a theoretical foundation and discover differences in current technology. The development uses Flutter's cross-platform capabilities and includes OCR for text extraction. The Jaro Winkler method is used to improve accuracy by increasing the similarity measure between extracted text and actual text, especially for unclear images. Despite issues with low-resolution images, the app has the ability to convert images to text accurately, as demonstrated by app testing and evaluation. The app's performance shows the possibility that a combination of Flutter, OCR, and Jaro Winkler's method can help create an effective image to text conversion tool. But the research also found some things that need improvement, especially in processing low-quality images and refining algorithms for better accuracy. Implementation of the Jaro-Winkler algorithm is used accurately and significantly. This is proven by a comparison of two sample words, "BRI" and "BNI," which produces a result of 0.7778, or a percentage value of 77.3% through manual calculation. Based on a comparison of the values in the application and calculations using Python with floating-point representation, there is a small difference in the final results, with a difference of only 3%, which results in a result of 80%..
Pengaruh Profitabilitas, Kebijakan Utang dan Kebijakan Dividen Terhadap Nilai Perusahaan Pada Perusahaan Real Estate dan Property Yang Terdaftar di Bursa Efek Indonesia Pada Tahun 2017-2022
Authors: Magdalena Evi , Haryani Hendriyati
Published: February 2025

This study aims to determine the effect of profitability, debt policy, and dividend policy to the firm value study objects were using finansial reports of real estate and property companies from 2017-2022. Sampling was selected using purposive sampling  with the results of  42 companies.  This research uses a quantitative approach with data analysis methods used, namely classical assumption testing, multiple linear regression analysis, and hypothesis testing. The research results show that profitability and debt policy have a significant effect on company value. Meanwhile, dividend policy has no effect on company value.
Perilaku Caring Perawat dan Kepuasan Pasien di Ruang Perawatan
Authors: Jusamaliah  , Siokal Brajakson , Amir Haeril , Tutik Agustini
Published: February 2025

Health services by hospitals in Indonesia in the digitalization era are becoming a competition between government and private hospitals. One indicator of the quality of nursing services is patient satisfaction. The caring attitude given will get a sense of satisfaction from the patient. This study aims to determine the relationship between caring behavior and patient satisfaction in the Baji Nyawa treatment room at Labuang Baji Hospital. The design of this study was cross sectional, the sampling technique used was total sampling technique. The sample in this study amounted to 65 respondents. The statistical test carried out was Fisher Exact. The results showed that there was a relationship between nurse caring behavior and patient satisfaction with a p-value of 0.000 (<0.05) with a good criterion caring behavior value of 60 patients (92.3%) and patients who were satisfied as many as 59 patients (90.8%). The conclusion of this study is that the caring behavior of nurses has a relationship with patient satisfaction, so the better the caring given by the nurse, the level of patient satisfaction will increase. Therefore, it is expected to maintain and improve the caring behavior of nurses so that patients feel satisfied and continue to choose to use the services at Labuang Baji Hospital.
Hubungan Faktor Risiko dengan Prediktor Preventif Pengetahuan Diabetes Melitus pada Remaja
Authors: Rima Melati  , Munir Nur Wahyuni , Nur Ilah Padhila  , Rahmat Hidayat
Published: February 2025

Diabetes mellitus is an increase in blood glucose levels, the occurrence of DM can be caused by several factors, such as age, gender, BMI and family history of DM. This study aims to determine the relationship between risk factors and preventive predictors of Diabetes Mellitus in adolescents at SMAN 5 Makassar. The research design used is a quantitative research method using a multiple correlation design with a cross sectional approach. The sampling technique used stratified sampling with a total sample of 106 teenagers at SMAN 5 Makassar. Research data was taken by distributing questionnaires on risk factors and preventive predictors. The test conducted in this study was the Fisher Exact Test. The results of the Fisher Exact Test showed that there was no relationship between risk factors (age, gender, BMI and family history of DM) with preventive predictors such as knowledge of DM, diet and exercise patterns of DM (age p-value 1.000, gender p-value 0.190 , family history p-value 0.664, BMI p-value 0.397), diet (age p-value 1.000, gender p-value 0.743, family history p-value 0.743, BMI p-value 0.701 and exercise pattern (age p- value 0.052, gender p-value 0.211, family history p-value 1.000, BMI p-value 0.012) The conclusion of this study shows that predictor factors in adolescents such as knowledge of DM, eating patterns and exercise patterns have no relationship with risk factors for DM incidence It is hoped that this research can serve as literature for future researchers.Further research is expected to be able to see the effectiveness of education in the early prevention of diabetes mellitus in adolescents.
Faktor Yang Mempengaruhi Kelelahan Kerja Pada Guru Smk Sekolah Menengah Teknologi Industri (SMTI) Makassar
Authors: Yuliyanti Lilis , Arman  , Rusydi Arni Rizqiani
Published: February 2025

Penyebab terjadinya kelelahan pada guru SMK Sekolah Menengah Teknologi Industri (SMTI) Makassar disebabkan oleh pekerjaan yang dilakukan para guru : Sakit belakang, mudah lapar, mudah mengantuk, badan terasa pegal pegal, mudah lelah, pusing/kepala terasa berat, dan sakit pinggang. Penelitian ini bertujuan untuk mengetahui faktor yang mempengaruhi kelelahan kerja pada guru. Penelitian ini bertujuan untuk mengetahui faktor yang mempengaruhi kelelahan kerja pada guru. Jenis penelitian ini merupakan penelitian kuantitatif, dengan dengan pendekatan cross sectional studi dengan sampel sebanyak 50 orang guru yang diambil menggunakan teknik total sampling. Metode Analisis data mengunakan analisis univariat, bivariat dan multivariat. Untuk univariat dan bivariat data analisis menggunakan uji chi-square, sedangkan untuk analisis data multivariat menggunakan uji regresi linear. Dari hasil penelitian berdasarkan uji chi-square diperoleh bahwan hubungan umur dengan kelelahan kerja didapatkan nilai  (p= 0.00 < 0.05), hubungan jenis kelamin dengan kelelahan kerja didapatkan nilai (p= 0.980 > 0.05), hubungan beban kerja dengan kelelahan kerja didapatkan nilai (p= 0.00 < 0.05), dan hubungan  motivasi kerja dengan  kelelahan kerja didapatkan nilai (p= 0.00 < 0.05). Untuk hasil multivariat dengan uji regresi linear didaptkan untuk umur terhadap kelelahan kerja didapatkan nilai p value > 0,05 (0,666 > 0,05) dan nilai t hitung < t tabel yaitu (0,434 < 1,679) sehingga disimpulkan bahwa tidak ada pengaruh umur terhadap kelelahan kerja, pengaruh beban kerja terhadap kelelahan kerja diperoleh nilai p value > 0,05 (0,523 > 0,05) dan nilai t hitung < t tabel yaitu (0,643 < 1,679) sehingga disimpulkan bahwa tidak ada pengaruh beban kerja terhadap kelelahan kerj, pengaruh motivasi terhadap kelelahan kerja diperoleh nilai p value <  0,05 (0,16 < 0,05) dan nilai t hitung > t tabel yaitu (2,508 > 1,679) sehingga disimpulkan bahwa ada pengaruh motivasi kerja terhadap kelelahan kerja. Motivasi kerja berpengaruh dalam penelitian ini karena para guru disekolah yang mempunyai kinerja yang lebih sehigga mengalami kelelahan kerja.
Analisis Faktor Yang Berhubungan Dengan Paparan Merkuri Dan Dampak Kesehatan Pada Mahasiswa FKM UMI
Authors: Yunus Ririn Paramita , Hasriwiani Habo Abbas  , Sartika
Published: February 2025

Penggunaan krim pemutih bermerkuri banyak digunakan oleh mahasiswa FKM UMI angkatan 2022 tanpa mengetahui dampak jangka panjang yang akan ditimbulkan oleh efek krim pemutih bermerkuri tersebut. Penelitian bertujuan untuk mengetahui paparan merkuri dan dampak kesehatan pada mahasiswa yang menggunakan krim pemutih wajah. Penelitian ini menggunakan metode penelitian kuantitatif dengan desain cross sectional study yang dilaksanakan pada wilayah Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia, Kota Makassar. Populasi pada penelitian ini yaitu 45 responden, dengan jumlah sampel sebanyak 40 responden. Instrument yang digunakan berupa kuesioner dengan pengolahan data dan analisa data berupa presentase dan analisis korelasi menggunakan metode Chi Square. Hasil analisis terdapat hubungan yang signifikan antara Frekuensi penggunaan krim pemutih wajah dengan kadar merkuri dalam rambut mahasiswa FKM UMI Angkatan 2022 (p=0,000), Kandungan merkuri dalam krim pemutih wajah dengan kadar merkuri dalam rambut mahasiswa FKM UMI Angkatan 2022 (p=0,000), Durasi penggunaan krim pemutih wajah dengan kadar merkuri dalam rambut mahasiswa FKM UMI Angkatan 2022 (p=0,000), Netto krim pemutih wajah dengan kadar merkuri dalam rambut mahasiswa FKM UMI angkatan 2022 (p=0,000) di Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia, Kota Makassar. Kesimpulan pada penelitian ini terdapat hubungan Frekuensi penggunaan, kandungan merkuri, durasi penggunaan, dan netto krim pemutih wajah dengan kadar merkuri dalam rambut mahasiswa FKM UMI Angkatan 2022. Adapun saran yang diberikan diharapkan agar petugas kesehatan baik dari puskesmas maupun Dinas Kesehatan Kota Makassar agar lebih gencar dalam memberikan pelayanan kesehatan dalam bentuk penyuluhan kesehatan mengenai dampak kesehatan yang akan terjadi jika menggunakan krim bermerkuri dalam jangka waktu yang panjang.
Novel Approaches to Plastic Pollution: Leveraging Machine Learning and Metaproteomics for Advanced Plastic Degradation
Authors: Arooj Fatima Tul Zahra  , Mujahid Tabassum  , Sundresan Perumal
Published: February 2025

This study addresses a pressing global issue—plastic waste—and explores technologies such as machine learning and metaproteomics as potential solutions. Current initiatives to reduce, recycle, and dispose of plastics in landfills are inadequate; plastic pollution is an issue that affects various ecosystems globally. This paper proposes a prospective solution that leverages machine learning algorithms and metaproteomics to improve the efficiency of plastic degradation. The prediction of environmental factors that facilitate bacteria-induced plastic degradation is performed using Random Forests and Convolutional Neural Networks (CNNs) models on extensive datasets. This enables the identification of specific microbes and enzymes capable of degrading plastics and other substances, including PETase, which acts on polyethylene terephthalate. Metaproteomics enhances this process by elucidating the proteins produced by microorganisms, thereby facilitating the identification of enzymes involved in plastic degradation. The amalgamation of these technologies facilitates the ongoing monitoring and regulation of degradation conditions, thereby improving scalability and performance metrics. Furthermore, the paper examines additional emerging technological innovations, including machine learning, nanotechnology, artificial intelligence, and robotics, that contribute to enhancing the degradation process and the comprehensive management of plastic waste. Collectively, these concepts have the potential to establish a circular economy where plastic waste is considered a valuable resource rather than waste. In conclusion, the integration of machine learning with metaproteomics presents a compelling narrative to tackle plastic pollution. These technologies improve the efficiency and ecological sustainability of plastic degradation processes, establishing a future in which humanity repurposes plastic waste as a valuable resource in industrial applications rather than discarding it.
BRAINIAC: The Planning Process for the E-Learning Platform with Text Summarisation Tools
Authors: Siti Nur Fatehah Nordin  , Nurdiana Azizan  , Noraizah Abu Bakar  , Dini Onasis
Published: February 2025

This paper presents the planning process for the BRAINIAC, an e-learning platform with text summarisation tools. The evolution of technology in education happens gradually throughout daily lives, from the old traditional method to the digital process, making the educational experience easier and more convenient. E-learning, which uses electronic devices and digital resources, has become essential, especially during the COVID-19 pandemic. Despite the widespread use of e-learning platforms such as Moodle, Google Classroom, Blackboard, and Udemy, it still lacks an integrated text summarisation tool. This tool is vital for helping learners efficiently process and comprehend extensive textual information. This project, Brainiac, aims to develop an e-learning platform, which is a web-based application that incorporates Artificial Intelligence (AI) and Natural Language Processing (NLP) for text summarization. The methodology used to ensure the development process runs smoothly for this project is the Agile Model. The research objectives are to identify gaps in existing e-learning platforms, propose a robust security framework for Brainiac, and evaluate its accuracy and compatibility through thorough testing. Hence, Brainiac aims to enhance learning, improve comprehension, and save time for users, thus significantly enhancing the overall effectiveness of digital education. The implication of Brainiac could revolutionise digital education by improving information processing and comprehension, ultimately enhancing learning efficiency and user experience. In conclusion, Brainiac’s text summarisation tools significantly advance e-learning, offering a transformative approach to improving information processing, comprehension, and overall educational efficiency.
A Maturity Model for the Accredited Food Laboratory in Malaysia: A Case Study
Authors: Li Hui Ling  , Mohd Sukri Hassan  , Che Wan Zanariah Che Wan Ngah  , Mehmet Ozturk
Published: February 2025

A Maturity Model (MM) is essential for laboratories aiming to improve and compete globally. Despite being accredited for over 20 years, some laboratories lack evidence of system maturity necessary for international competitiveness. A higher maturity level indicates a robust quality management system, leading to improved efficiency, accuracy, and customer satisfaction, while also assuring stakeholders, such as customers and regulatory bodies, of the laboratory's commitment to continuous improvement. The MM is designed to assess the success of laboratory processes, management styles, and the development of quality management practices, based on the 4M model (Manpower, Method, Machine, Material). The MM was developed using Analytes Accurate Certain Score (AACS) for the ten most common tests and System Maturity Scores (SMS), which incorporate proficiency testing and audit scores over two accreditation cycles (six years). While the model identifies inefficiencies, it helps organizations pinpoint areas of improvement and devise strategies to enhance their operations. This study applied the MM to a commercial laboratory, ABC (anonymized), accredited since the early 1990s and having undergone eight assessment cycles. The laboratory was found to be at a “leading” maturity level with a score above 80%, although improvements are still needed. Key areas for improvement include: 1) **Manpower**: maintaining competent staff by adjusting management strategies, 2) **Method**: validating all in-house methods according to Analytical Laboratory Accreditation Criteria Committee (ALACC) guidelines, 3) **Machine**: applying good laboratory practices (GLP) for equipment sharing, especially for specific analytes, and 4) **Material**: ensuring metrologically traceable reference materials and proficiency testing for all analytes. These improvements will help the laboratory further enhance its global competitiveness.
Content validity and reliability of instruments for evaluating culinary skills teaching factory programs
Authors: Niza Niza , Istiyono Edi , Setiawati Farida Agus , Sumin Sumin
Published: February 2025

This research aims to develop an evaluation instrument for the teaching factory (TEFA) program for culinary expertise competence at SMKN 6 Yogyakarta. Instruments developed based on the CIPP evaluation model (Context, Input, Process, Product). Research methods using instrument development stages refer to test development procedures according to Oriondo & Dallo-Antonio: (1) test design, (2) trials, (3) determination of validity, and (4) determination of reliability. The sample used was 120 class XI Culinary students for the academic year 2023/2024 in the environment of SMKN 6 Yogyakarta. Polytome data were analyzed withÂ the Partial Credit Model using the Quest program. The results showed that as many as ten items of evaluation instruments fit with the model. The reliability value of the instrument is 0.78. This means that the reliability of the instrument is in the high category. The results of content and construct validation state that all items (16 items) are suitable to be used to evaluate the culinary competence teaching factory (coffee shop) program at SMKN 6 Yogyakarta.Â Â
Strategic Service Marketing: Competing on Exemplary Service Quality and Innovation for Customer Satisfaction
Authors: Chea Ashford C.
Published: February 2025

The purpose of the paper was to carryout a thorough and critical review and analysis of the empirical literature on strategic service marketing. Also analyzed is the unique characteristics of the service industry and the fast-changing competitive marketplace. Moreover, the role of innovation in service delivery and the need for customer participation in exemplary service delivery are analyzed.
The article starts with a brief introduction and overview of the concept of service marketing and the presentation of the paper's objectives. The research methodology then follows. Next, the article outlines the associate theories that support service marketing strategies and models. A comprehensive and rigorous analysis and synthesis of the empirical literature on service marketing concepts is presented. An analysis of current trends and emerging issue is also presented. Finally, the paper discusses implications for marketing decision-makers and recommends action.
Optimal Salaries of Researchers with Motivational Emergence
Authors: Knar Eldar
Published: February 2025

In the context of scientific policy and science management, this study examines the system of nonuniform wage distribution for researchers. A nonlinear mathematical model of optimal remuneration for scientific workers has been developed, considering key and additive aspects of scientific activity: basic qualifications, research productivity, collaborative projects, skill enhancement, distinctions, and international collaborations. Unlike traditional linear schemes, the proposed approach is based on exponential and logarithmic dependencies, allowing for the consideration of saturation effects and preventing artificial wage growth due to mechanical increases in scientific productivity indicators. The study includes detailed calculations of optimal, minimum, and maximum wages, demonstrating a fair distribution of remuneration on the basis of researcher productivity. A linear increase in publication activity or grant funding should not lead to uncontrolled salary growth, thus avoiding distortions in the motivational system. The results of this study can be used to reform and modernize the wage system for researchers in Kazakhstan and other countries, as well as to optimize grant-based science funding mechanisms. The proposed methodology fosters scientific motivation, long-term productivity, and the internationalization of research while also promoting self-actualization and ultimately forming an adequate and authentic reward system for the research community. Specifically, in resource-limited scientific systems, science policy should focus on the qualitative development of individual researchers rather than quantitative expansion (e.g., increasing the number of scientists). This can be achieved through the productive progress of their motivation and self-actualization.
Thyroid hormone replacement therapy in dialysis/renal insufficiency patients
Authors: Zhao Xiaolu , Liu Fan , Yuan Saiya , Wang Fei , Li Chunyu , Guo Congcong , Zhao Junyu
Published: February 2025

Dialysis/renal insufficiency patients are often accompanied by hypothyroidism due to renal damage, the mechanisms of which are complex. The use of thyroid hormone replacement therapy in such patients has become an important clinical issue. This article reviews the mechanism of hypothyroidism in dialysis/renal insufficiency patients and describes the importance and precautions of thyroid hormone replacement therapy to provide a reference for clinical diagnosis and treatment.
Benthic drivers of structural complexity in coral reefs across a tropical-subtropical transition zone
Authors: Wu Meng-Hsin Morris , Ribas-Deulofeu Lauriane , Liu Chia-Hung Eric , Nozawa Yoko , Denis Vianney
Published: February 2025

This study examines changes in structural complexity of coral reefs in a tropical-subtropical transition zone and identifies the benthic factors influencing their patterns. Structure-from-motion photogrammetry was used to create digital elevation models (DEMs) and generate orthomosaic images for 25 study sites distributed across five coral reef regions along the east coast of Taiwan. A selection of 11 complexity metrics was used to capture the overall variations while benthic composition was described. It was found that fine-scale complexity decreases with increasing latitude as the dominance of intricate coral morphologies is replaced by plain zoanthids and crustose coralline algae. Coarse-scale complexity, on the other hand, increases in subtropical reefs with large boulders and unstable substrates, reflecting unique topographic features in regions of lower coral cover and accretion. Latitudinal variation in complexity is mostly driven by the turnover in benthic composition. These changes alter the available habitats and could ultimately affect the overall biodiversity and functionality of reef systems. Understanding transitional patterns is particularly important as ocean warming may lead to a reorganization of existing benthic communities in tropical-subtropical transition zones.
Meigs’ syndrome with elevated CA-125 and HE-4: a case report and literature review
Authors: Seong Jichang , Ravshan Abdusattorov , Narkhodzha Sametdinov , Saida Kurbanova , Jamshid Alimov , Bahriddin Babanov , Biloliddin Sharobidinov
Published: February 2025

Meigs’ syndrome is a rare gynecological condition characterized by a benign ovarian tumor, ascites, and pleural effusion, all of which resolve spontaneously after tumor removal. While mildly elevated serum CA-125 levels are frequently observed, levels exceeding 1,000 IU/mL are extremely rare, and concurrent elevation of other tumor markers, such as HE-4, may further complicate its diagnosis. We report a case of Meigs’ syndrome in a 41-year-old premenopausal woman. Initial presenting symptoms included severe dyspnea, abdominal distention, anorexia, and weight loss. Subsequent imaging studies revealed a large right ovarian tumor accompanied by massive ascites and pleural effusion. Serum CA-125 and HE-4 levels were markedly elevated (1,200 IU/mL and 82.1 pmol/L, respectively), with a Risk of Ovarian Malignancy Algorithm (ROMA) score of 25.63%, suggesting advanced ovarian malignancy. Neoadjuvant chemotherapy was initiated, but the tumor continued to grow, necessitating internal debulking surgery. Postoperative histopathology revealed a benign ovarian fibroma, confirming the diagnosis of Meigs’ syndrome. Spontaneous resolution of ascites and pleural effusion occurred by the second postoperative day, and the tumor markers normalized within the next six months. The patient remained disease-free at 2-year follow-up. This case underscores the importance of considering Meigs’ syndrome in patients with markedly elevated tumor markers, an ovarian tumor unresponsive to chemotherapy, and concomitant ascites and pleural effusion. Early recognition and surgical intervention are critical for accurate diagnosis and optimal management of this rare condition.
Biodegradation of polyhydroxyalkanoates: current state and future prospects
Authors: Paloyan Ani , Tadevosyan Mane , Ghevondyan Diana , Khoyetsyan Lev , Karapetyan Mariam , Margaryan Armine , Antranikian Garabed , Panosyan Hovik
Published: February 2025

Polyhydroxyalkanoates (PHAs) are biobased and biodegradable polymers that offer a sustainable alternative to conventional plastics, addressing the escalating concerns over plastic pollution. While their environmental advantages are well-documented, the efficient degradation of PHAs in natural and engineered environments remains a critical component of their lifecycle. This review provides a comprehensive overview of PHA-degrading bacteria isolated from diverse ecosystems and highlights the pivotal role of PHA depolymerases in achieving PHA circularity. Microbial adaptation to diverse environmental conditions, such as extreme temperatures, salinity, and pH, significantly influences enzymes properties, including the stability, activity, and substrate specificity of PHA-degrading enzymes. These adaptations often enhance enzyme, performance, enabling functionality under challenging conditions. Consequently, extremophilic microorganisms are invaluable resources for discovering and engineering robust PHA depolymerases for industrial and environmental applications. This review underscores the urgent need for further research to improve the ecological and economic sustainability of PHA waste management.
Constitutive overexpression of Qui-Quine Starch gene simultaneously improves starch and protein content in bioengineered cassava (Manihot esculenta Crantz)
Authors: Hankoua Bertrand Bachaumond , Diao Marieme , Ligaba-Osena Ayalew , Garcia Rafael A. , Harun Sarahani , Ahlawat Yogesh K.
Published: February 2025

Cassava is a crucial source of daily calorie intake for millions of people in sub-Saharan Africa (SSA) but has an inferior protein content. Despite numerous attempts utilizing both traditional and biotechnological methods, efforts to address protein deficiency in cassava have yet to meet with much success. We aim to leverage modern biotechnologies to enhance cassava's nutritional value by creating bioengineered cassava cultivars with increased protein and starch content. In this study, we utilized Qui-Quine Starch (QQS), a novel orphan gene unique to Arabidopsis thaliana, to develop transgenic cassava plants with increased protein and starch accumulation in their tissues. A total of 10 independent transgenic cassava lines expressing QQS were successfully regenerated in this study, among which line R7 (F) demonstrated superior growth vigor. Quantitative RT-PCR verified the expression of the QQS gene in the transgenic lines. Data showed that QQS expression in cassava plants increased leaf protein content by 36% in line R’’’ (LA) L2 and root protein by 17% for the same line compared to their wild-type and empty vector (NPTII) control plants. Moreover, leaf-soluble total carbohydrates increased by 51.76% in line R (G) L2, and root-soluble total carbohydrates increased by 46.75% in line R7 (F). The novel function of QQS in increasing the starch content in the transgenic biomass is demonstrated. No significant change in the content of specific amino acids was observed among the lines and various plant parts. In addition, QQS expression revealed increased biomass, plant vigor, and early In vitro mini-tubers production for line R7 (F). Gene interaction study between AtQQS and 59 interacting partners generated 184 interactions or edges. These gene networks comprised several functional categories regulating the starch metabolic and auxin biosynthetic processes. The role of QQS in imparting starch and protein content of transgenic cassava plants is validated. The next logical step is the evaluation of biochemical profiles of cassava lines expressing QQS that reach maturity and the transferability of these findings to consumer-preferred cassava cultivars and local landraces grown in SSA. This study represents the first biotechnological report demonstrating a simultaneous increase of protein and starch content in bioengineered cassava.
Exploring the impact of discharged patients’ characteristics on online health information-seeking behaviors: insights from patients’ dilemmas
Authors: Liu Fei , Kong Xiangyin , Xia Tian , Guo Huijing
Published: February 2025

Introduction

Aligned with the dual-factor model, this study aims to investigate why discharged patients seek online health information, considering the complexity of patients’ dilemmas. Additionally, we account for specific cultural context factor in China and seek to examine the role of living with children in mitigating the dilemmas faced by discharged patients in their pursuit of additional online information.

Methods

We empirically tested the research model using data collected from 292 discharged patients. The data was examined through structural equation modeling, employing Smart PLS.

Results

The findings suggest that perceived stress facilitates discharged patients’ engagement in seeking online health information, whereas resistance to change and learned helplessness impede such behaviors. Furthermore, our analysis reveals that cohabiting with children moderates the effects of resistance to change on online health information-seeking behavior.

Discussion

In conclusion, this paper extends the literature by examining the role of discharged patients’ characteristics on online health information-seeking behaviors. Following the practices in China, this study involves living arrangements (with children) as an essential factor in the research model. This paper offer suggestions to online providers to make health-related information more suitable for discharged patients.
Thermal imaging in biomedical research: a non-invasive technology for animal models
Authors: Verduzco-Mendoza Antonio , Olmos-Hernández Adriana , Bueno-Nava Antonio , Villanueva-García Dina , Domínguez-Oliva Adriana , Avila-Luna Alberto , Mora-Medina Patricia , Gálvez-Rosas Arturo , Hernández-Ávalos Ismael , Casas-Alvarado Alejandro , Garnica Marco A. , Mota-Rojas Daniel
Published: February 2025

Thermal imaging has been used in animal models to non-invasively detect surface temperature changes after several pathologic and surgical processes. Infrared thermography (IRT) identifies increases or decreases in radiated heat according to blood circulation and microcirculation. The present review aims to discuss the most relevant aspects of IRT applied in biomedical research as a noninvasive technique in animal models, highlighting its importance in a clinical setting and for translational medicine. IRT provides an alternative to evaluate vascular anomalies where blood flow is interrupted. In surgical processes such as anastomosis and reconstructive techniques (e.g., grafts and flaps), thermal imaging can assess the viability of tissues. In burn injuries, IRT can predict and identify the areas of ischemia-necrosis and inflammation. Nonetheless, although IRT is a potential alternative to use in both animal models and human patients, the use of IRT and other imaging techniques is encouraged.
Public Sector Entrepreneurship: Present State and Research Avenues for the Future
Authors: Moric Milovanovic Bojan , Cvjetkovic Matea , Masovic Jasmina
Published: February 2025

Public sector entrepreneurship (PSE) is a growing area of knowledge that studies the application of innovative activities and processes to enhance public service quality. This can ultimately affect the public organization’s performance and the country’s economic success and growth. Even though PSE has been studied through the lenses of several academic disciplines, its assumptions are often based on the insights derived from research on entrepreneurship in the private sector. The theories of public entrepreneurship are scattered throughout the literature, while empirical research is still scarce. There exists a need to build a conceptual characterization that distinguishes its unique indicative dimensions. This paper aims to collect and summarize some of the definitions, theories, dimensions, and determinants of public sector entrepreneurship and propose avenues for future empirical research. It is a literature review using the PRISMA methodology to examine public sector entrepreneurship, systematically collecting and synthesizing previous research. This approach yielded 55 publications, which were used as sources for developing a comprehensive conceptualization of PSE. The paper’s contribution is reflected in this review and analysis, as well as its suggestions for future research topics and empirical methods in this developing area of knowledge.
Occurrence of Pharmaceuticals and Personal Care Products in Cannabis sativa L. Following Application of Sewage Sludge-Based Composts and Vermicomposts
Authors: Hanc Ales , Dume Bayu , Kusnierova Sarka , Hrcka Milan , Hrebeckova Tereza , Michal Pavel , Hleibieh Maha , Nehasilova Alena , Cajthaml Tomas
Published: February 2025

The use of some organic fertilizers may raise concerns about the transfer of hazardous substances to soil and plants. This study examined the impact of soil amendment with compost and vermicompost derived from sewage sludge and straw pellets in different ratios on the accumulation of pharmaceuticals and personal care products (PPCPs) by hemp (Cannabis sativa L.). The concentrations of fifty different PPCPs were measured in compost-treated soil, and in the roots and above-ground biomass of cannabis grown on the soil. The highest bioaccumulation of PPCPs was recorded in plants from previously unfertilized soils low in organic matter, while the lowest concentrations were measured in soil amended with compost or vermicompost made from straw pellets only, without sewage sludge. The effect of sludge-derived compost and vermicompost application on the absorption of PPCPs was statistically determined by measurements in soil samples, roots and shoots of carbamazepine, cetirizine, lamotrigine, telmisartan, paraxanthine, tramadol, triclosan, and venlafaxine. The above-ground biomass exhibited lower PPCP content than roots, suggesting a potential plant defense mechanism for limiting contaminant translocation. Only tramadol and carbamazepine showed significantly increased content in above-ground biomass.
Development and Testing of the Adaptive Control System for Profiling Grain Header
Authors: Niu Yi , Li Ruixue , Liu Wei , Rong Kai , Hong Haoxuan , Zhang Guohai
Published: February 2025

In the harvesting operation, the stubble height of the grain is a vital parameter index in the combined harvesting operation; if the stubble is too high or too low, it will directly affect the harvesting quality and the service life of the header. At present, the profiling control system can only control the lift of the header in the vertical direction but not the horizontal direction and the angle of the cutter profiling. This study proposes a contouring control strategy and system for grain harvesting by analyzing the designed contouring adjustment mechanism and simulating the control method and hydraulic system through Amesim2404 software to simulate and analyze the control method and hydraulic system. Finally, different forward speeds of the harvester (5, 7, 9, and 11 km/h) and other cutting heights of the harvester were analyzed based on static and field tests and different stubble heights (100, 150, 200, and 250 mm) on the test indexes. The results of the field test showed that for different operating speeds, the error between the mean value of stubble height and the target value was small, the absolute error was less than 2 mm, the mean value of the coefficient of variation of stubble height was 4.53%, and the mean value of control accuracy is 94%. The developed adaptive control system of the profiled grain header has high precision and stability, which can provide a reference for the all-terrain profiling control technology of the combined harvester header deck.
Design of a Sensory Device for the Characterization of the Volatile Organic Compounds Fingerprint in the Breath of Dairy Cattle
Authors: Giovinazzo Simone , Romano Elio , Bisaglia Carlo , Calcante Aldo , Naldi Ezio , Oberti Roberto , Filisetti Alex , Rozzoni Gianluigi , Brambilla Massimo
Published: February 2025

Early diagnosis of subclinical ketosis is fundamental in the production management of dairy cattle. Without evident clinical signs, this pathological condition causes important economic losses for the farmer and significant health repercussions for the cattle that could develop an altered immune function. Laboratory techniques, although accurate, are expensive, invasive, and cannot be used for real-time monitoring of the entire herd. On the contrary, the analysis of volatile organic compounds (VOCs) contained in the breath of dairy cattle affected by ketosis could represent a key biomarker of the ketogenic process. For this reason, we developed a sensory device, tested in the laboratory, to detect acetone concentrations ranging from 1 to 10 ppm (concentrations typically detected in the cow’s breath), and we look to verify the electronic nose’s potential as a non-invasive diagnostic tool for ketosis. Experimental results show the high sensitivity of the instrument in differentiating acetone solutions. Principal component analysis (PCA) showed a clear separation of samples in the score plot, while classification using linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) achieved accuracy rates above 70% and 85%, respectively. These findings suggest the potential application of the electronic nose as a non-invasive diagnostic tool in veterinary diagnostic studies. In particular, its ability to detect and discriminate low acetone concentrations could help the farmer to improve the overall management of the herd, optimising monitoring strategies and ketosis diagnosis before the appearance of the clinical signs of the disease.
Influence of the Use of Diatomite-Based Mineral Sprinkles on the Content and Immobilization of Cadmium and Zinc from Poultry Litter
Authors: Gondek Krzysztof , Micek Piotr , Mierzwa-Hersztek Monika , Głąb Tomasz , Lis Marcin Wojciech , Trela Magdalena
Published: February 2025

Previous studies have indicated that enriching litter composition with natural minerals can not only alter the biochemical activity of specific groups of microorganisms inhabiting the poultry manure, but also affect its functional properties, including the content of mobile forms of cadmium (Cd) and zinc (Zn). A study was therefore conducted to determine the effect of natural sprinkles made from diatomite (DT), enriched with bentonite (BN) or dolomite (DL), on the sorption capacity towards Cd(II) and Zn(II) and on the immobilization of these elements in the litter during the rearing of chicken broilers. The experiment was conducted with four experimental groups, each comprising six coops of 80 Ross 308 chickens (240 chickens per group). The birds were maintained on wood shavings and peat moss litter. Two groups were not administered litter additives, while the other two groups received the DTBN mixture (75/25; wt/wt, 280 g/m2 L) prior to being placed in the facility. In addition, a mixture of DTDL (75/25; wt/wt; 100 g/m2 L) was applied on the 10th and 26th days of rearing in selected groups, creating four experimental designs: −/−, +/−, −/+, and +/+. Litter samples for testing were collected on days (D) 0, 10, and 35 of the experiment. The results of the sorption of Cd(II) and Zn(II) indicated that both experimental mixtures exhibited a greater ability to bind these elements than pure diatomite. It was found that the use of diatomite-based mineral sprinkles reduced the mobility of Cd and Zn in the litter at the stage of animal rearing. In the litter analyzed after 35 days of rearing (D35), the content of water-extracted forms of cadmium was not determined. In contrast, a 50% reduction in the content of water-extracted forms of zinc was observed in combinations in which mineral sprinkles were applied compared to the control. The use of such additives, in addition to enhancing zoohygienic conditions, can facilitate the reduction of environmental risks subsequent to the soil application of poultry manure as a fertilizer.
Three-Dimensional Spatial Perception of Blueberry Fruits Based on Improved YOLOv11 Network
Authors: Zhao Kun , Li Yuhuan , Liu Zunmin
Published: February 2025

The automated harvesting of blueberries using a picking robot places a greater demand on the 3D spatial perception performance, as the robot’s grasping mechanism needs to pick blueberry fruits accurately at specific positions and in particular poses. To achieve this goal, this paper presents a method for blueberry detection, 3D spatial localization, and pose estimation using visual perception, which can be deployed on an OAK depth camera. Firstly, a blueberry and calyx scar detection dataset is constructed to train the detection network and evaluate its performance. Secondly, the blueberry and calyx scar detection model based on a lightweight YOLOv11 (the eleventh version of You Only Look Once) network with an improved depth-wise separable convolution (DSC) module is designed, and a 3D coordinate system relative to the camera is established to calculate the 3D pose of the blueberry fruits. Finally, the above detection model is deployed using the OAK depth camera, leveraging its depth estimation module and three-axis gyroscope to obtain the 3D coordinates of the blueberry fruits. The experimental results demonstrate that the method proposed in this paper can accurately identify blueberry fruits at various maturity levels, achieving a detection accuracy of 95.8% mAP50-95, a maximum positioning error of 7.2 mm within 0.5 m, and an average 3D pose error of 19.2 degrees (around 10 degrees at the ideal picking angle) while maintaining a detection frame rate of 13.4 FPS (frames per second) on the OAK depth camera, providing effective picking guidance for the mechanical arm of picking robots.
Slope Position Modulates Soil Chemical Properties and Microbial Dynamics in Tea Plantation Ecosystems
Authors: Li Limei , Chen Lijiao , Li Hongxu , Xia Yuxin , Wang Houqiao , Wang Qiaomei , Yuan Wenxia , Zhou Miao , Tian Juan , Wang Baijuan
Published: February 2025

As a perennial plant, the nutrient supply for tea bushes is predominantly dependent on the soil. Yunnan tea plantations exhibit significant topographic slope variations, yet the combined impact of slope positions on soil chemistry and microbial communities remains unexplored. This study investigated soil chemical properties and microbial community structures across three distinct slope areas within a single tea plantation. The results showed that the contents of organic matter (OM), total nitrogen (TN), and available nutrients (AN) at the top of the slope (TS) were significantly higher than those at the foot of the slope (FS) (p < 0.001), while the cation exchange capacity (CEC) and total potassium (TK) reached peak levels in the middle of the slope (MS), with FS having the lowest nutrient levels. Redundancy analysis (RDA) indicated that bacterial communities were primarily influenced by TK, magnesium (Mg), CEC, total phosphorus (TP), and pH, whereas fungal communities were mainly regulated by TK, Mg, and CEC, highlighting the role of soil chemical properties in shaping microbial diversity and distribution. Bacterial composition showed no significant slope-related differences, but fungal communities varied notably at the family/genus levels. MS exhibited the highest microbial network complexity, suggesting stronger species interactions. Bacterial metabolic functions and fungal trophic modes were conserved across regions, indicating functional stability independent of structural changes. This study reveals slope-driven soil-microbial dynamics in Yunnan tea plantations, offering insights into microbial assembly and adaptation under topographic gradients. These findings support precision fertilization, ecological conservation, and the sustainable management of slope tea plantations.