bluuebunny/crossref_metadata_2025 huggingface dataset:
A novel fatigue driving detection method based on whale optimization and Attention-enhanced GRU
Authors: Li Zuojin , Li Minghong , Shi Lanyang , Li Dongyang
Published: July 2024

Fatigue driving has emerged as the predominant causative factor for road traffic safety accidents. The fatigue driving detection method, derived from laboratory simulation data, faces challenges related to imbalanced data distribution and limited recognition accuracy in practical scenarios. In this study, we introduce a novel approach utilizing a gated recurrent neural network method, employing whale optimization algorithm for fatigue driving identification. Additionally, we incorporate an attention mechanism to enhance identification accuracy. Initially, this study focuses on the driver's operational behavior under authentic vehicular conditions. Subsequently, it employs wavelet energy entropy, scale entropy, and singular entropy analysis to extract the fatigue-related features from the driver's operational behavior. Subsequently, this study adopts the cross-validation recursive feature elimination method to derive the optimal fatigue feature index about operational behavior. To effectively capture long-range dependence relationships, this study employs the gated recurrent unit neural network method. Lastly, an attention mechanism is incorporated in this study to concentrate on pivotal features within the data sequence of driving behavior. It assigns greater weight to crucial information, mitigating information loss caused by the extended temporal sequence. Experimental results obtained from real vehicle data demonstrate that the proposed method achieves an accuracy of 89.84% in third-level fatigue driving detection, with an omission rate of 10.99%. These findings affirm the feasibility of the approach presented in this study.
Importance-driven denial of service attack strategy design against remote state estimation in multi-agent intelligent power systems
Authors: Zhao Xia , Liu Guowei , Li Lei
Published: July 2024

This paper introduces a novel importance-driven denial of service (IDoS) attack strategy aimed at impairing the quality of remote estimators for target agents within multi-agent intelligent power systems. The strategy features two key aspects. Firstly, the IDoS attack strategy concentrates on target agents, enabling attackers to determine the voltage sensitivity of each agent based on limited information. By utilizing these sensitivities, the proposed strategy selectively targets agents with high sensitivity to amplify disruption on the target agent. Secondly, unlike most existing denial of service attack strategies that adhere to predefined attack sequences, IDoS attacks can selectively target important packets on highly sensitive agents, causing further disruption to the target agent. Simulation results on the IEEE 39-Bus system demonstrate that, compared to existing denial of service attack strategies, the proposed IDoS attack strategy significantly diminishes the estimation quality of the target agent, confirming its effectiveness from an attacker's perspective.
Sosialisasi dan Workshop Digital Marketing sebagai Upaya Pengembangan Usaha Masyarakat Desa Kalibenda, Kecamatan Ajibarang, Kabupaten Banyumas
Authors: Rosita Yesy Diah , Febrianto Dany Candra , Yunus Andi Prademon
Published: July 2024

Pemasaran digital telah menjadi pondasi utama dalam strategi pengembangan bisnis di era digital saat ini. Meskipun demikian, pemanfaatan pemasaran digital masih belum merata, terutama di kalangan masyarakat pedesaan seperti Desa Kalibenda, Kabupaten Banyumas. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan masyarakat Desa Kalibenda dalam memanfaatkan potensi pemasaran digital. Melalui sosialisasi dan workshop, peserta diperkenalkan dengan konsep dasar pemasaran digital seperti strategi media sosial, optimisasi mesin pencari, dan analisis data. Hasil analisis data menunjukkan peningkatan signifikan dalam nilai posttest setelah kegiatan, menunjukkan dampak positif kegiatan tersebut pada pemahaman dan keterampilan peserta dalam memanfaatkan teknologi digital untuk pemasaran UMKM. Dengan demikian, disarankan untuk melanjutkan dan memperluas program serupa di daerah pedesaan lainnya untuk meningkatkan daya saing UMKM lokal dalam pasar digital yang semakin terhubung.
Penyuluhan Keamanan Pangan UKM Produk Manisan Buah Pepaya Desa Karangsalam Kabupaten Banyumas
Authors: Latifasari Nurul , Putri Nabilla Mutiara , Gati Andini Rahyu , Cahyani Septi Adi , Adifaputra Shevandra Qeysa , Maghfiroh Ulil
Published: July 2024

Manisan buah pepaya adalah salah satu produk pangan olahan yang populer pada semua kalangan masyarakat. Tetapi, keamanan pangan dari produk manisan buah pepaya menjadi isu penting yang perlu diperhatikan mengenai personal hygine dan sanitasi selama proses pengolahan. Pengabdian ini memiliki tujuan untuk mengidentifikasi dan mengevaluasi praktik-praktik keamanan pangan yang diterapkan pada salah satu UKM Manisan Buah Pepaya Bu Lasmidah. Metode yang digunakan dalam pengabdian ini meliputi survey pada UKM Manisan Buah Pepaya Bu Lasmidah, melakukan wawancara dengan pemilik usaha, serta memberikan sosialisasi mengenai keamanan pangan. Hasil pengabdian menunjukkan masih terdapat beberapa praktik yang kurang memenuhi standar hygiene dan sanitasi yang meliputi tidak memakai sarung tangan, masker, dan penutup kepala. Pada proses pendinginan yang terbuka dapat meningkatkan risiko terjadinya kontaminasi. Kualitas bahan buah pepaya sudah sedikit memenuhi persyaratan walaupun penggunaan kapur sirih dan pewarna masih melewati batas. Kondisi ruangan pengolahan seperti lantai, ventilasi, dinding, jendela, pintu yang masih kurang higienis akan menyebabkan sumber kontaminasi. Peralatan pengolahan masih perlu butuh perbaikan terkait sanitasi yang lebih ketat untuk memastikan keamanan produk akhir. Pengolahan limbah dan air juga masih belum sesuai prosedur. Sehingga, dilakukan sosialisasi terkait peningkatan kesadaran akan pentingnya kebersihan dan keamanan pangan pada tempat produksi serta wawasan terkait produksi manisan buah pepaya.
Diseminasi Teknologi Retort Drum untuk Produksi Biochar Bambu Di Desa Banjar Waru, Cilacap
Authors: Utami Sari Widya , Aji Galih Mustiko , Pratiwi Artdhita Fajar , Fadillah Fadillah , Listyaningrum Rostika
Published: July 2024

Tujuan dari kegiatan pengabdian kepada masyarakat ini berupa peningkatan pengetahuan dan keterampilan masyarakat dalam pemanfaatan limbah kerajinan bambu menjadi biochar dengan teknologi retort drum. Biochar bambu yang diproduksi dengan teknologi retort drum diharapkan dapat digunakan untuk memperbaiki kesuburan tanah pertanian di desa Banjar Waru yang relatif rendah. Metode pelaksanaan kegiatan pengabdian masyarakat terdiri dari pengenalan biochar dan teknik pembuatannya, pelatihan pembuatan biochar dan evaluasi keberlanjutan program. Hasil kegiatan menunjukkan adanya ketertarikan dan peningkatan pemahaman peserta untuk mengolah limbah bambu menjadi biochar. Keberhasilan kegiatan pengabdian masyarakat ini adalah adanya keberlanjutan program yang dilaksanakan secara berkelompok dalam mempoduksi biochar bambu dan dari limbah pertanian lainnya.
Upaya Mahasiswa dalam Meningkatkan Kemandirian melalui Pelatihan Kripik Pisang pada Kelompok Difabel Kalurahan
Authors: Setiadi Wisnu
Published: July 2024

Disabilitas masih menjadi isu strategis yang terus disuarakan di ranah publik untuk mendapatkan haknya. Sulitnya mendapat kerja dan kurangnya percaya diri menambah stigma buruk ketidakmampuan penyandang difabel. Tujuan penulisan penelitian ini sebagai momentum untuk membawa kesadaran berwirausaha bagi kelompok difabel. Lain sisi sebagai peningkatan kapasitas keterampilan mengelola pisang menjadi kripik dengan varian rasa. Pengabdian penelitian ini menggunakan Participatory Learning Methods dengan tekniknya berupa simulasi pelatihan mulai dari perencanaan, implementasi dan evaluasi. Adapun metode penelitian berupa deskriptif-kualitatif dengan pengumpulan data observasi, interview, dan dokumentasi. Hasil penelitian menerangkan pelatihan dimulai dari tahap perencanaan dengan melihat dari sudut pandang objektif di anggota Kelompok Difabel Kalurahan serta melihat arah pendamping SIGAB di KDK. Pelatihan pengolahan kripik pisang membawa dampak bagi peserta yaitu menambah wawasan terhadap pemilihan pisang, teknik menggoreng, dan pemberian varian rasa. Dari sisi agar keberlanjutan program tercapai lebih maksimal mewujudkan masyarakat difabel yang mandiri wirausaha maka dibutuhkan mitra dengan stakeholder terkait.
A Systematic Review of Deep Learning for Intelligent Transportation Systems with Analysis and Perspectives
Authors: Hendrawan Aria , Gernowo Rahmat , Nurhayati Oky Dwi , Dewi Christine
Published: July 2024

This study presents a systematic review of deep learning for intelligent transportation systems. Statistics are used to find the most cited articles, and the number of articles and quotes are used to find the most productive and influential authors, institutions, and countries or regions. Key topics and patterns of change are discovered using the authors’ keywords, and the most common issues and themes are revealed using flow maps and showing the corresponding trends. A co-occurrence keyword network is also developed to present the research landscape and hotspots in the field. The results explain how publications have changed over the past seven years. Researchers can use this study to have a deeper understanding of the current state and future trends in the role of deep learning in intelligent transportation systems.
Combating Misinformation: Leveraging Deep Learning for Hoax Detection in Indonesian Political Social Media
Authors: Sibaroni Yuliant , Mahadzir Shuhaimi , Prasetiyowati Sri Suryani , Ihsan Aditya Firman
Published: July 2024

The rampant spread of hoax news in social media, especially in the political domain, poses a significant challenge that requires immediate attention. To address this issue, automatic hoax news detection using machine learning-based artificial intelligence has emerged as a promising approach. With the approaching presidential election in Indonesia in 2024, the need for effective detection methods becomes even more pressing.This research focuses on proposing an efficient deep learning model for detecting political hoax news on Indonesian social media. Word2vec feature representation and three deep learning models – LSTM, CNN, and Hybrid CNN-LSTM – are evaluated to determine the most effective approach. Experimental results reveal that the CNN-LSTM hybrid model outperforms the others, achieving an accuracy of 96% in detecting hoax news on Indonesian social media in the political domain. By leveraging state-of-the-art deep learning techniques, particularly the CNN-LSTM hybrid model, this study contributes to the advancement of hoax news detection in Indonesia's political landscape. The findings underscore the importance of utilizing sophisticated machine learning methods to combat the spread of misinformation, particularly during crucial political events such as elections.
Designing of Textile-based Wearable Antennas at 2.45 GHz
Authors: Sirait Nurafifah , Fathurahman Firhan , Alaydrus Mudrik , Umaisaroh Umaisaroh
Published: July 2024

In the recent times, there are a continuous development and distinctive growth in the implementation of wearable sensors and flexible devices in real lifes. These devices are exploited to monitor signals in healthcase applications, for the intents of geo‐positioning of the rescue, and in military personnel. There are abundant of frequency bands have been introduced worldwide such for the narrow-band versions 2.36–2.40 GHz for the medical body area network, 2.40–2.48 GHz as the industrial, scientific, and medical band, and 3.1–10.6 GHz for the ultra‐wideband applications. In designing of wearable antennas, we find many challenges due to the practical implementation of antennas next to human body. The human body presents as very loss structures and its presence affects the form of the radiation pattern of the antenna and also can shift its operational frequency. Moreover, placement of the antenna on convex structures with different curvature radii also affects its performance due to overall change in electrical length. In this study, we analyze wearable antennas based on textile flexible materials for WBAN implementation. The type of the antennas is a metasurface implementation of microstrip antennas. In this way, we can reduce the thickness of the material significantly to prevent the radiation efficiency of the antennas. We will observe the bending effect on the radiation patterns of the antenna.
Converting grassland to wildflower meadow: impact on soil quality indicators for carbon sequestration
Authors: Breeveld Alice A. , Pagella Saskia , Fisher Jane
Published: July 2024

The extensive loss of carbon-rich, species-rich grasslands to agriculture and development has had detrimental impacts on wildflower abundance and diversity. Therefore, conversion of verges, lawns, and fields into wildflower meadows (WFMs) has gained prominence in recent years. However, a frequent recommendation for WFM establishment is to reduce soil fertility, raising concerns regarding the impact on carbon sequestration. To address the question of how WFM conversion might affect soil carbon retention, an experiment was conducted in Surrey, UK, converting grassland into WFM using different strategies: deturfing or scarifying, plus seed sowing. Measurements included earthworm abundance, live biomass, and microbial decomposition rates via a cotton strip assay (CSA), to provide insights into the initial phase of carbon sequestration: organic matter decomposition. The findings unveiled critical insights. In the short term, WFM conversion resulted in reduced earthworm populations relative to the control, especially when the conversion involved a high level of disturbance by removing turf. Conversely, mowing led to increased earthworm populations and accelerated CSA decomposition compared to the control. These findings suggest that the effects of disturbance and removal of biomass through deturfing or scarifying, and the energy supply provided by mowing and leaving the arisings, had more impact on the earthworm population and CSA decomposition than the increased diversity of the sown wildflowers. Successful WFM establishment can be achieved without turf removal, a practice that exerts adverse effects on soil life. These findings have broader implications for grassland resource management in the context of climate change mitigation through soil carbon storage.
Medical students’ coping strategies and burnout syndrome in preclinical and clinical years
Authors: Rivera-Morales Nathalie , Fernández-Lockwood Camila B. , Ramos-Monserrate Gian M. , Ramírez-Rivera Edicer , Raimundí-Santos Natalia , Méndez María , Rodríguez-Anziani Isabel , Martínez-González Karen G.
Published: July 2024

The medical curriculum is stressful, as it entails an increased academic workload, new responsibilities, and rigorous standardized testing. Some students have effective coping strategies to manage stressors, while others engage in maladaptive ones leading to burnout syndrome. Self-report questionnaires of 131 medical students at the University of Puerto Rico School of Medicine were administered through REDCap. These included the Maslach Burnout Inventory as a measure of burnout and the Coping Strategies Questionnaire. Descriptive analyses were used to determine the prevalence of burnout and coping strategies. Linear regression models were used to predict variables associated with burnout and its subscales. Prevalence of burnout was 96.20%. Burnout subscales differences were seen between medical school years with preclinical years associated with higher emotional exhaustion and clinical years associated with more professional efficacy. The most important negative coping mechanism associated with increased burnout was social withdrawal. Cooking, seeking family support, and using the School of Medicine Wellness Center were positive coping mechanisms associated with less burnout. These results facilitate the recognition and promotion of effective strategies to decrease burnout among medical students. Future longitudinal studies with similar cohorts are necessary to further investigate causal relationships.
Analisis Hasil Tanaman Perkebunan (Kopi Dan Teh) Menggunakan Regresi Linear
Authors: Hamidah Isna
Published: July 2024

Plantation crops are an agricultural sub-sector which also plays an important role in boosting the country's economy, one of which is coffee and tea. However, it is known from the Statistics Indonesia that data shows that the production of plantation crops has decreased, this is caused by one of the factors, namely due to the reduced area of plantation land caused by changes in the conversion of plantation land. The purpose of this study was to determine the influence of land area on the production of plantation crops with linear regression. The results of the study with linear regression analysis show that the variable area of land simultaneously or partially can affect the production of plantation crops, especially coffee and tea plant.
Pengelompokkan Daerah Rawan Demam Berdarah (DBD) di Jawa Timur Menggunakan Metode K-Means
Authors: Auditiyah Cellyn
Published: July 2024

Tropical diseases are common in areas with tropical and subtropical climates. As a country with a tropical climate, Indonesia is vulnerable to various tropical diseases. A large number of tropical diseases can occur in the temperate climate zone, differing only in the frequency with which they are affected. Dengue hemorrhagic fever is a tropical disease in Indonesia. DHF occurs as a result of infection with the dengue virus which is transmitted through the bite of the female Aedes aegypti mosquito. The high prevalence of DHF in East Java requires a data collection process to identify areas that are frequently infected with DHF. Therefore, we need a clustering system that can help classify areas that often experience DHF cases. This study aims to find out which districts/cities have the predominant cases of dengue fever. The clustering method used is K-Means clustering. Based on the research conducted, 2 clusters were obtained with a silhouette coefficient  value of 0.76. Cluster 1 covers 36 districts/cities and is an area with a low level of vulnerability to dengue fever, while cluster 2 covers 2 districts/cities and is an area with a high level of vulnerability to dengue fever.
Pendekatan Neural Network dalam Peramalan Jumlah Penduduk Kota Semarang dengan Menggunakan Metode Backpropagation
Authors: Kuntarini Agustin Absari Wahyu
Published: July 2024

The city of Semarang is one of the metropolitan cities that has a fairly dense population. During the years 2010-2021 the City of Semarang has a population fluctuation. It is necessary to make predictions of population data in order to plan the development in the City of Semarang can be better planned and can regulate the fluctuation of population in the future. In this study, the results of the prediction of the population of the City of Semarang were analyzed using the Neural Network approach with the backpropagation method. After training and testing, the best architectural model was obtained with 2 neurons on the input layer, 2 neurones on the hidden layer and 1 neuron on the output layer. Based on the results of the best architectural model, the MSE score was 9.39749 x 10-6 and the average MAPE value was 0.884552461%. The evaluation result with the MAPE value is very accurate because it is < 10%. In this study, the results of the forecast of the population of the city of Semarang in 2022-2025 consecutive are 1,863.121 people, 1,878.634 people, 1.891.865 people, and 1,902.947 people.
Modeling Exchange Rate of Naira to Euro with the APLSTAR-GARCH model
Authors: Effiong Benjamin .A. , Okereke Emmanuel .W. , Omekara Chukwuemeka .O. , Acha Chigozie .K. , Akpan Emmanuel .A.
Published: July 2024

Application of the asymmetric power logistic smooth transition autoregressive (APLSTAR) model proposed by [1] to naira/Euro exchange rate spanning from January, 2006 to April, 2021, which is a nonlinear  macroeconomic time series was considered. The APLSTAR model was justifiably fitted to the series and the fit of the APLSTAR model compared with the fits of the competing models revealed that the APLSTAR model fits the data exchange rate of naira to Euro better than the other asymmetric STAR models. Lagrange Multiplier tests for autoregressive conditional heteroscedastic (ARCH) effects were carried out and there was no substantial evidence to reject the presence of ARCH effects in the set of residuals used. Hence, we compared hybrid smooth transition autoregressive-generalized ARCH (STAR-GARCH) models using model evaluation criteria. On balance, the APLSTAR-GARCH (0, 1) model outperforms the other models under consideration.
QUALITY ASSESSMENT OF THE SOFTWARE DEVELOPMENT PROCESS OF AN IT COMPANY BASED ON THE USE OF THE UTILITY FUNCTION
Authors: Sokol Volodymyr , Godlevskyi Mykhaylo , Malets Dmytro
Published: July 2024

The paper considers the software development process as an object of research, which is a poorly structured system. A description of such systems is given in the form of general characteristics, which include: difficulties in building an analytical model; incompleteness, inaccuracy, unreliability and uncertainty of information; benchmarks required for assessing weakly structured systems are often absent; uniqueness of the decision-making process; dynamic nature of models of poorly structured systems, etc. In this paper, the quality assessment of the software development process is considered based on maturity model standards, which can have continuous and discrete variants. The continuous version assesses the quality of the individual focus areas and processes of the maturity models. For this purpose, a discrete point scale of the first type is used, when the assessment is carried out according to an objective criterion. The quality assessment of individual focus areas and processes characterizes the local criteria for assessing the quality of the entire software development process. Therefore, the task is to form some kind of integral quality assessment on their basis. One of the options for solving this problem is a discrete maturity model, where the scale for assessing the entire software development process has five gradations called maturity levels. Starting from the second level, each gradation is characterized by a set of focus areas with corresponding levels of capability. The availability of such a scale allows not only assessing the quality of the entire software development process, but also solving the task of planning to improve its quality. But first, it is necessary to analyse such a scale from the point of view of its balance, namely, that the distances on the scale between the gradations are approximately equal. Therefore, the paper analyses the existing scales that can be proposed for expert assessment for the quality of the software development process. Their construction can be realized on the basis of a utility function using the local criteria of maturity models formalized in this paper. For this purpose, a fundamental property of systems is used. Namely, the dependence of the utility (efficiency) of a complex system on the invested resources over the life cycle interval, which usually takes the form of a logistic curve. Further research will be devoted to using this fact to build a balanced scale for assessing the entire software development process based on maturity models.
TWO APPROACHES TO THE FORMATION OF A QUANTITATIVE MEASURE OF STABILITY BASED ON MULTIPLE ESTIMATES OF THE PARAMETERS OF AN ENSEMBLE OF TRANSIENT PROCESSES
Authors: Kutsenko Oleksandr , Bezmenov Mykola , Kovalenko Serhii
Published: July 2024

The article is devoted to the further development of the theory of stability of dynamic systems, namely of quantitative methods of stability assessment. A review and critical analysis of various approaches, which allow to introduce a quantitative measure of stability of dynamic systems to one degree or another, is given. The limitations of the existing methods, which are primarily related to the assessment of the behavior of the transient processes of individual trajectories, as well as the difficulty of obtaining an assessment of the behavior of the ensemble of transient processes when trying to apply the methods of N. D. Moiseyev. are substantiated. A method of quantitative assessment of a dynamic system stability based on the numerical estimates of the behavior of the area of initial deviations from the equilibrium position on the trajectories of the dynamic system is substantiated. Based on the Liouville formula, it is shown that changes in the volume of the area of the initial deviations on the trajectories of the system does not depend on the form of the latter one. This allowed to limit the area of initial deviations in the shape of a hypersphere and to obtain a simple expression for a quantitative measure of the stability of a linear stationary dynamic system, the geometric sense of which is to estimate the rate of change of the volume of the control surface. The article proposes and substantiates the criterion of uniformity of deformation of the area of initial deviations. The essence of the problem is that in the transient process, the values of some components of the phase vector may reach unacceptable deviations from the equilibrium position. A theoretical estimate of deformation non-uniformity for linear systems is obtained, which is taken to be the deviation of the trace of the ellipsoid matrix from the deviations of the trace of the hypersphere matrix of the corresponding volume. A method for a quantitative measure of the stability based on an integral quadratic functional calculated on a set of transient processes of initial deviations in the form of a set of ellipsoids with a normalized volume is proposed and substantiated. Diagonal positive normalized matrices are considered as a set of matrices of the integral quadratic criterion. A simple algorithm for calculation of the multiple integral quadratic criterion is proposed.
Hispanic-Serving Institutions Contributing to the Training and Diversity of the Public Health and Health Care Workforce
Authors: Concha Jeannie B. , Umucu Emre , Duarte-Gardea Maria , Gonzalez Azuri L. , Solis Guillermina R. , Loya Amanda M. , O’Dell Lara E. , Mathew Roy
Published: July 2024

The University of Texas at El Paso (UTEP), a Hispanic Serving and Carnegie R1 institution, serves as a pathway for socioeconomically diverse Hispanic/Latino (H/L) health profession students via equal-access strategies. The Center for Institutional Evaluation, Research, and Planning data illustrates UTEP’s success in graduating H/L health professionals (i.e., allied health, nursing, pharmacy, and psychology) students between 2014 and 2023. Nearly 90% of these graduates are employed in Texas one year after graduation, and 85% remain employed after 10 years. ( Am J Public Health. 2024;114(S6):S472–S477. https://doi.org/10.2105/AJPH.2024.307655 )

[Formula: see text]
The Effect Of Interaction Between Non-Performing Loans And Operating Expenses On Capital Adequacy Ratio As Moderated By Return On Equity
Authors: Estiasih Soffia Pudji
Published: July 2024

This study aims to analyze the effect of interaction between non-performing loans (NPL) and Operating Expenses to Operating Income (OEOI) ratios on capital adequacy ratio (CAR) as moderated by return on equity (ROE). A quantitative approach was used in this research. The data in this research were secondary ones and they were obtained from the annual financial statements for 2018-2020 period from commercial banks listed on Indonesian stock exchange (IDX). As many as 42 commercial banks served as the research population. From this number, using the requirement of having complete financial statements for 2018-2020 period as the criteria, 30 commercial banks were sampled purposively. The data were analyzed using multiple linear regression and moderating regression analysis (MRA). This study found that both NPL and operating expenses had a negative effect on CAR. However, while the former’s effect was significant, that of the latter was not. From the moderation regression analysis, it was revealed that ROE could not moderate the NPL’s effect  on CAR, yet it could moderate the impact of OEOI on CAR.
The Impact of Environmental Management Accounting on Sustainable Business Outcomes: Quantitative Evidence from Multinational Corporations
Authors: Rahmawati Yunaita , Amri Muhtadin
Published: July 2024

Introduction: This research examines the impact of Environmental Management Accounting (EMA) on sustainable business outcomes in multinational companies. There is a knowledge gap regarding the specific influence of EMA on various sustainability performance indicators. Research Methods: This study uses quantitative methods by analysing data from 50 multinational companies listed on the stock exchange during the period 2018-2023. Results: The results show that the implementation of EMA has a positive and significant impact on energy efficiency and carbon emission reduction, but has no significant impact on green product innovation. Companies that integrate EMA into their operations show a 15% increase in energy efficiency and a 10% decrease in carbon emissions compared to companies that do not implement EMA. There is no strong evidence that EMA significantly drives green product innovation. Conclusion: These findings suggest that EMA can be an effective tool for multinational companies to improve sustainability performance through more efficient resource management and reduced environmental impacts.
The Inversion Location of Microleakage Source and Diffusion Backward Tracing Method Based on 3D Visual Information Model of Salt-Cavern Gas Storage
Authors: Zou Xianjian , Hu Hao , Yang Chunhe , Wang Tongtao , Chen Feng , Chen Jiasong , Wang Duocai
Published: July 2024

The safe and stable operation of underground gas storage makes a positive contribution to national energy security. To improve the efficiency of real-time monitoring and early warning of gas leakage accidents at the wellsite of salt-cavern gas storage, an inversion location of the gas microleakage source and a backward tracing method of leakage diffusion are proposed. Through building a 3D visual information model of the salt-cavern gas storage based on building information modeling (BIM) technology and combining it with the advantages of the gas sensors, the real-time inversion location of the microleakage source and diffusion backward tracing in the wellsite can be realized. First, multiple point-type laser methane sensors were used to monitor the leakage of some key zones in real time, and a pan/tilt/zoom (PTZ) scanning laser methane telemeter was used to realize the real-time multidimensional space monitoring on-site from horizontal 360° to vertical 180°. Second, a 3D integrated monitoring platform is established to analyze the gas leakage source by combining the monitoring data and improving the mesh interpolation points. Finally, the whole data and wellsite information are imported into the 3D integrated monitoring platform to realize the inversion location of the microleakage source and the real-time monitoring of the leakage and diffusion state in the whole region. The monitoring precision of gas leakage concentration can be up to 1.0 ppm, and the location distance is within 0.1 m based on the numerical simulation of the 3D model and actual detected data from sensors in the platform. Compared with the technical means of manual assisted leak location, this method effectively solves the difficult problem of leakage monitoring and location accurately in the gas storage and can timely reduce the expansion and impact of leakage accidents.
Strengths and Merits of Transforaminal Full-Endoscopic Lumbar Spine Surgery Under the Local Anesthesia: A Review Article
Authors: Sairyo Koichi , Yamashita Kazuta , Tezuka Fumitake , Morimoto Mosatoshi , Manabe Hiroaki , Sugiura Kosuke , Takeuchi Makoto , Tamaki Shunsuke , Kumon Masashi , Mizutani Kozaburo , Kanda Yutaro , Soeda Saori , Kageyama Hiroshi , Fujitani Junzo
Published: July 2024

In the 2 decades or so since full-endoscopic spine surgery (FESS) was introduced, the procedure has advanced considerably. There are 2 major approaches of FESS, transforaminal (TF) and interlaminar. In this review article, we discuss the key strengths and merits of TF-FESS based on a literature search. First, the minimal invasiveness of the procedure allows for early return to work. Second, minimal invasiveness of the back muscles enables athletes to make a faster return to their previous competitive level. Third, the ability to perform TF-FESS under local anesthesia means it is suitable even in the elderly with poor general health.
Reinforced Visual Interaction Fusion Radiology Report Generation
Authors: Wang Liya , Chen Haipeng , Liu Yu , Lyu Yingda , Qiu Feng
Published: July 2024

The explosion in the number of more complex types of chest X-rays and CT scans in recent years has placed a significant workload on physicians, particularly in radiology departments, to interpret and produce radiology reports. There is therefore a need for more efficient generation of medical reports. In this paper, we propose the Reinforced Visual Interaction Fusion (RVIF) radiology report generation model, which adopts a novel and effective visual interaction fusion module, which is more conducive to extracting fused visual features of radiology images with clinical diagnostic significance and performing subsequent correlation. Sexual analysis and processing. In addition, a reinforcement learning step from image captioning to this task is introduced to further enhance the aligned diagnosis effect brought by the visual interactive fusion module to generate accurate and highly credible radiology reports. Quantitative experiments and visualization results prove that our model performs well on two public medical report generation datasets, IU X-Ray, and MIMIC-CXR, surpassing some SOTA methods. Compared with the SOTA model COMG+RL in 2024, the BLEU@1, 2, and 3 of the NLG metrics increased by 3.9%, 2.8%, and 0.5% respectively, METEOR increased by 2.2%, the precision P of the CE index increased by 0.4%, and the recall rate R increased by 1.5%, F1-score increased by 1.8%. Source code in https://github.com/200084/RVIF-Radiology-Report-Generation.
Fire and water: water quality impacts of landscape-scale disturbance by wildfire.
Authors: Shenton Mark David , Thompson Ross M , Kefford Ben J
Published: July 2024

Background: Wildfire plays an important role in determining ecosystem processes, composition, structure and condition, and is forecast to play a greater role under climate change. Wildfire affects the physicochemical and habitat characteristics of waterways, and the response in freshwater systems depends on characteristics of the fire, landscape and climate. Knowledge of fire effects on freshwater physiochemistry and habitat is predominantly based on suboptimal designed and short-medium term studies. Using a rigorous before-after-control-impact (BACI) study design and up to 28-years timeseries data, we examined if physicochemical and habitat variables changed following wildfire, and the duration of changes relative to unburnt sites in sub-alpine (hereafter alpine) and montane and sub-montane (montane hereafter) environments in south-eastern Australia.
Results:Of the variables hypothesised to change in response to fire, 8 out of 33 variables at alpine sites, and 7 out of 12 variables at montane sites, changed in line with our predictions. Four variables changed in the opposite direction to predictions. Of 11 variables measured at both sites in alpine and montane environments, 3 variables responded to the fire in only one environment (montane zone) and 1 variable (electrical conductivity) responded in both environments but in different directions. For 90% of response variables examined at both alpine sites (33 variables) and montane sites (12 variables) effects were not detectable beyond 2 years post-fire. The remaining 10% of variables examined were detected up to 8 years post fire at alpine sites, and for 2.5 years at montane sites. The duration of detectable effects was greater at alpine sites than montane sites.
Conclusions: We found no single consistent effect of fire on stream physicochemistry. Although some variables were found to respond to wildfire in a consistent way, the magnitude and duration of effects varied by site group (alpine versus montane) and site type (site burnt versus catchment burnt), illustrating the complexity of responses to wildfire. The complexity and inconsistency of responses of water physicochemical and habitat variables to wildfires reinforces the need for a better mechanistic understanding of the effects of fire on streams.
The application of induced pluripotent stem cells to assess the toxic effects of environmental contaminants.
Authors: Kadiwala Juned , Ciocan Corina , Shakur Rameen
Published: July 2024

Human exposure to environmental contaminants is inevitable due to lifestyle, geographical proximity to the source, socioeconomic status, and the omnipresence of pollutants. The growing body of literature has advanced our understanding of the potential toxicity of a wide range of contaminants, from pharmaceuticals to nano plastics, however, knowledge gaps still exist. Homosalate (HS) and Triphenyl Phosphate (TPP) are chemical compounds of different commercial products used extensively by consumers. Both chemicals have been detected in the human bloodstream, raising concerns about the potential adverse effects on the cardiovascular system and human health. In this study, we harness the potential of human induced pluripotent stem cell-derived cardiomyocytes (hiPSCs-CMs) as a model to test the effect of these two chemicals on cardiac gene expression profiles, using the quantitative PCR method. Our findings showed that continuous exposure to HS and TPP at 30 and 60 µM doses for 24 hours leads to a dose-dependent significant reduction in the expression of the key cardiac structural and functional genes (TNNT2, TNNC1, MYH-6, MYH-7, MYL-2, ACTN2, and MYBPC3). Thus, this study demonstrated the feasibility of using hiPSCs-CMs as an in vitro model to access cardiotoxic and other functional parameters.
Urine-derived stem cells; A robust platform for generating native or engineered autologous Extracellular Vesicles
Authors: Boysen Anders Toftegaard , Whitehead Bradley , Revenfeld Anne Louise s. , Gupta Dhanu , Petersen Thor , Nejsum Peter
Published: July 2024

Background
Mesenchymal stem cell (MSC) therapy holds great potential as a treatment form, yet efficacy and safety concerns with cell therapy persist. The beneficial effects of MSCs are often attributed to their secretome, including extracellular vesicles (EVs). EVs carry biologically active molecules, protected by a lipid bilayer. However, several barriers hinder large-scale MSC EV production. A serum-free culturing approach is preferred for producing clinical-grade MSC-derived EVs but this can affect the yield and purity. Consequently, new strategies have been explored, including genetically engineering MSCs to alter EV compositions to; enhance potency, increase circulation time, or mediate targeting. However, efficient transfection of MSCs is challenging, and the process can affect MSC phenotype and chromosomal integrity, which are both imperative to preserve in a therapeutic setting. Typical sources of MSC include adipose tissue and bone marrow, which both require invasive extraction procedures. Here, we investigate the use of urine-derived stem cells (USCs) as a non-invasive and inexhaustible source of MSCs for EV production.
Methods
We isolated, expanded, and characterized urine-derived stem cells (USCs) harvested from eight healthy donors at three different time points during the day. We evaluated the number of clones per urination, proliferation capacity and conducted flow cytometry to establish expression of surface markers. EVs were produced in chemically defined media and characterized. PEI/DNA transfection was used to engineer USCs using transposon technology genetically.
Results
There were no observable differences at time points for clone number, doubling time or viability. USCs showed immunophenotypic characteristics of MSCs, such as expression of CD73, CD90 and CD105, with no difference at the different time points, but male donors had reduced CD73 + cells. Expanded USCs were incubated without growth factors or serum for 72 hours without a loss in viability and EVs were isolated. USCs were transfected with high efficiency and after 10 days of selection, pure engineered cell culture was established.
Conclusions
Isolation and expansion of MSCs from urine is non-invasive, robust, and without apparent sex-related differences. The sampling time point did not affect any measured markers or USC isolation potential. USCs offer an attractive production platform for EVs, both native and engineered.
Identiﬁcation of loading source on an inﬁnite elastic beam
Authors: KADRI Mohamed Larbi
Published: July 2024

This paper deals with the reconstruction of an unknown loading source on the topside of aninfinite Bernoulli−Euler beam resting on a Winkler type elastic foundation and subject to appropriateboundary conditions using noise contaminated data measurements of the beam deflection at a finite num-ber of points of the beam. This is an inverse problem that can be recast in the form of a Fredholm integralequation of the first kind which is known to be intrinsically ill-posed and extremely sensitive to high-frequency perturbations. Numerical results obtained using various regularization methods : Tikhonov’sregularization, Truncated Singular Value Decomposition and an optimisation method using Bernsteinpolynomials are discussed. The reconstructions obtained are very satisfactory and give confidence on theapplications of these methods to unknown loads.
Spinal Segmentation Based on Heatmap Regression Positioning and Improved UNet
Authors: Huang Yuyao , Wang Yuhang , He Li , He Zhiqin , Xiao Lin
Published: July 2024

The spine is essential for supporting the human body and maintaining its functions. In primary healthcare settings, radiologist shortages and medical resource scarcity often result in spinal fracture misdiagnoses and oversights. This paper introduces a spinal segmentation method utilizing heat map regression and an enhanced UNet, aiding radiologists in swiftly diagnosing spinal fractures and enhancing diagnostic efficiency. During landmark positioning, this paper presents an M-SCN network structure designed for multi-feature fusion. The LA stage of SCN incorporates multi-level feature outputs, while the SC stage introduces cyclic feature fusion, enhancing the feature extraction method and the selection of the maximum feature values, thereby improving the SCN's capability to capture local and global image features. To enhance positioning accuracy, we propose a graph-structured multi-coordinate point optimization method. A weighted directed graph is constructed, employing the predicted heat map's peak value and the Euclidean distances between points to define unary terms and pairwise weights for graph edges. Finally, the Bellman-Ford algorithm optimizes the coordinate points, significantly enhancing positioning accuracy. Compared to the original SCN network, the M-SCN network reduces the prediction error rate by 4.43%. Addressing the issue of UNet's inability to capture global feature information, which results in incomplete vertebrae segmentation, we introduce a UNet-CB network structure featuring global context attention. ContextBlocks and residual connections are integrated into the UNet BasicBlock to bolster global information capture. Additionally, a central heatmap is introduced to improve individual vertebrae recognition. In the vertebral segmentation experiment, the Dice Similarity Coefficient (DSC) achieved 95.64%, the Maximum Symmetry Surface Distance (MSSD) was 4.862 mm, and accuracy and recall rates were 95.86% and 92.46%, respectively.
Exploring Changes in University Students’ Persuasive Writings with the SFL-based Genre Instruction
Authors: Chen Feng , Foley Joseph , Xiang Peng
Published: July 2024

This study aims to explore the changes students make in their persuasive writing practice with each of the three iterations of the SFL-based (Systemic Functional Linguistics) genre instruction. The random sampling of an intact class of 30 students who were divided into 6 groups from a Chinese university’s English department participated the study. A constructed SFL-based genre teaching model of a four-staged teaching/learning cycle was applied to conduct the teaching instruction. Discourse analysis was used to analyze the group writing compositions. After three iterations of teaching/learning cycle, the data analysis for students’ writing results showed that students improved in following the essential elements of the generic structure of persuasion, and applying some lexicogrammatical features to express the three metafunctions of language in a particular context, even though they still faced challenges in applying some lexical-grammatical features. The findings indicated that this genre-based approach enhanced students’ understanding of genres, and the typical features of explicit teaching, collaborative writing and scaffolding in the SFL-based genre pedagogy helped students write to right.
Break through the thermostability of glucose oxidase in extremely thermal environments with a novel dynamic ensemble design protocol
Authors: Miao Tingwei , Zhi Fengdong , Yang Xin , Yuan Zhaoting , Zhang Chuanxi , Feng Yinghui , Wei Hao , Gao Bei , Zhang Lujia
Published: July 2024

Enhancing the thermostability of glucose oxidase (GOD) is crucial for food science applications. However, traditional design methods based on a single GOD structure are ineffective especially in extreme thermal environments. Here, we established a method for precisely locating residue by analysing the dynamic conformations of GoxM8 (M8) and further enhancing thermostability while maintaining activity. Our novel dynamic ensemble approach, coupled with FireProt computational analyses, was used to obtain the best mutant, V402F, from diverse conformations of M8. The residual activity of V402F was six times that of M8 at 80 ℃ for 2 min, and enzyme activity was even slightly increased. Experimental validation and computational analysis of stability mechanisms demonstrated the deficiencies of previous design strategies for flexible enzymes, proving the validity of our approach. Thus, we present a GOD variant with improved thermostability, as well as a more precise and efficient design strategy for GOD and other flexible enzymes.
Development of a real-time loop-mediated isothermal amplification method with toothpick sampling for non-destructive detection of Ustilago esculenta in Zizania latifolia
Authors: Yamada Ryunosuke , SASAKI Nobumitsu , Komatsu Ken , Mashimo Kouji , Motobayashi Takashi
Published: July 2024

Infection of Zizania latifolia by Ustilago esculenta causes edible stem galls called makomotake. The development of stem galls may be influenced by the fungal colonization level at the seedling stage. To evaluate this possibility, we attempted to develop a real-time loop-mediated isothermal amplification (LAMP) method with toothpick sampling for U. esculenta detection, which allows us to examine non-destructively the relationship between fungal levels in seedlings and makomotake production from the same seedlings. Our method detected U. esculenta efficiently in seedlings that eventually produced makomotake, but did not detect it in those that failed to develop stem galls.