bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development Strategy of Agribusiness Teaching Factory Pilot at PSDKU Sidoarjo using SWOT Analysis and Lean Canvas Business Model
Authors: Slamet A H H , Mutmainah D N , Brillyantina S , Wulandari S A , Dhandy R , Julianti S E N 
Published: January 2025

Abstract
The Teaching Factory is a strategic initiative of Politeknik Negeri Jember for the year 2020-2024, implementing the one department, one teaching factory policy. The TEFA most suitable for establishment at Campus 4 is TEFA Agribusiness. This teaching factory adopts the structure of a minimarket, encompassing all aspects of agribusiness operations from processing to product marketing. The objective of this research was to develop a TEFA Agribusiness design strategy using the lean canvas business model and SWOT analysis. The research findings indicated that PSDKU Sidoarjo’s agribusiness teaching factory pilot has significant viability for development. The SWOT analysis classified the teaching factory startup as being in cell I, which represents growth and build. The techniques for implementation include intense operations (market penetration, market development, and product creation) and integrative approaches (backward integration, forward integration, and horizontal integration).
Bioethanol Production with Semi Continue Fermentation Distillation Equipment using Sacharomyces Cerevisiae
Authors: Ayu Febriani Siti Diah , Susmiati Yuana , Subagja Hariadi , Qanitah  , Afianah Nuzula , Faqih Abdilah 
Published: January 2025

Abstract
Ethanol produced from fermentation of biomass that consist of carbohydrates, cellulose or glucose with the aid of microorganisms namely Bioethanol. This research was to developing a bioethanol production tool with a fermentation and semi continue distillation using a stirred bioreactor and evaluate the productivity of bioethanol fermentation with saccharomyces cerevisiae that capable of concentration ethanol to support development activities at Teaching Factory (TEFA) Renewable Energy as the Bioenergy competency testing center. The method of the research using an experimental method use system of semi continue with the research stages included the design, fabrication, installation of sensors and final functional testing of the equipment. The research was carried out ethanol production were observed every 12-hours interval during 72 hours fermentation time. The results showed that process of semi continue fermentation done only for 72 hours when the brix concentration is 20 (start). Based on the research it is known that reducing sugar concentration (brix) and pH will decrease as fermentation time increase. The fermentation process carried out produced 66,49% bioethanol.
Fast correction method for the translation position error of ptychography
Authors: Dou Jiantai , Li Xu , Hu Youyou 
Published: January 2025

Abstract
Translation position errors in ptychography can significantly reduce the reconstruction quality. It is crucial to obtain the accurate translation positions between the probe and the object. Current methods for correcting the translation position error are applied into the iterative process of ptychography that will increase the computation time of a single iteration, and take much time to correct the translation position error and obtain a high reconstruction quality. A sub-pixel block matching method is proposed to ultrafast correct the translation position errors and greatly reduce the correction time. This method is applied in the preprocessing stage before iterations that does not increase the computational burden of a single iteration in ptychography and can quickly correct the translation position error. Simulations and experiments demonstrate that our method can significantly improve computational efficiency with ensuring correction accuracy.
Atomically thin metallenes at the edge
Authors: Abidi Kameyab Raza , Bagheri Mohammad , Singh Sukhbir , Koskinen Pekka 
Published: January 2025

Abstract
Atomically thin metallenes are a new family of materials representing the ultimate limit of a thin free-electron gas for novel applications. Although metallene research has gained traction, limited attention has been paid to the properties of their ubiquitous edges. Here, we use density-functional theory simulations to investigate various edges of Mg, Cu, Y, Au, and Pb metallenes with hexagonal and buckled honeycomb lattices. Investigating relaxations, energies, stresses, and electronic structures at the edge, we find that some properties have clear trends while others are sensitive to both element and lattice type. Given that edge properties are fundamental to metallene stability and interactions in lateral heterostructures, their detailed understanding will help guide the development of metallene synthesis and applications.
Three-dimensional phloretin-functionalized graphene aerogel for high-performance supercapacitors and phase change materials
Authors: Yang Jingjing , Gong Xiaobin , Su Tianyu , Chen Hong , Han Yongle , Li Yanan , Bao Jinxiao , Ge Xin , Pan Gaofei , Xing Ruiguang 
Published: January 2025

Abstract
Graphene aerogels have attracted considerable attention owing to their significantly higher electrical and thermal conductivity compared with conventional materials. To further enhance the surface functionality of graphene aerogels, we prepared three-dimensional multi-functional aerogels via hydrothermal treatment and freeze-drying using natural green organic small-molecule compound phloretin and graphene oxide. This aerogel has excellent electrochemical properties, with a specific capacitance as high as 433 F g−1 (at a current density of 1 A g−1). In addition, symmetrical supercapacitors (SCs) assembled with this electrode material exhibit excellent energy storage performance with an energy density of 13.33 W h kg−1, power density of 399.9 W kg−1 and capacitance retention rate of 88% after 10 000 cycles. Furthermore, a phase change material prepared using the aerogel and pure paraffin wax shows significantly higher energy conversion efficiency than sole paraffin wax and exhibits good thermal stability. Overall, owing to its unique physicochemical properties and environmental friendliness, the prepared multi-functional aerogel has good application prospects in the fields of SCs and thermal management.
A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model
Authors: Khajetash Benyamin , Hajianfar Ghasem , Talebi Amin , Ghavidel Beth , Mahdavi Seied Rabi , Lei Yang , Tavakoli Meysam 
Published: January 2025

Abstract

Background and Purpose. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stages HNC patients using CT and MRI image features along with demographics and dosimetric information.

Materials and Methods. A cohort of 85 HNC patients who underwent radiation treatment was evaluated. We built different ML-based classifiers to build a multi-objective, multimodal radiomics model by extracting 346 different features from patient data. The models were trained and tested for prediction, utilizing Relief feature selection method and eight classifiers consisting eXtreme Gradient Boosting (XGBoost), Multilayer Perceptron (MLP), Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbor (KNN), Naive Bayes (NB), Logistic Regression (LR), and Decision Tree (DT). The performance of the models was evaluated using sensitivity, specificity, area under the curve (AUC), and accuracy metrics.

Results. Using a combination of demographics, dosimetric, and image features, the SVM model obtained the best performance with AUC of 0.77 and 0.81 for predicting early sticky saliva and xerostomia, respectively. Also, SVM and MLP classifiers achieved a noteworthy AUC of 0.85 and 0.64 for predicting late sticky saliva and xerostomia, respectively.

Conclusion. This study highlights the potential of baseline CT and MRI image features, combined with dosimetric data and patient demographics, to predict radiation-induced xerostomia and sticky saliva. The use of ML techniques provides valuable insights for personalized treatment planning to mitigate toxicity effects during radiation therapy for HNC patients.
Carbon fiber tow incorporated with carbon slurry for structural power composite electrodes
Authors: So Byeong Jun , Shin Gilyong , Choi Yuseung , Lee Hoyeon , Jeon Jei Gyeong , Kang Tae June 
Published: January 2025

Abstract
Structural power composites are multifunctional materials that store electrical energy while supporting mechanical loads. Herein, we present mechanically robust and electrochemically high-performance electrodes for structural power composites, achieved by incorporating a carbon slurry into a carbon fiber (CF) tow. The carbon slurry consisted of activated carbon as the active material for electrochemical double-layer charging, carbon black as the electrical path, and polyvinylidene fluoride (PVDF) as the binder that are typical components used in double-layer supercapacitors. N-methyl-2-pyrrolidone (NMP) was used as the solvent. The composition of the carbon slurry was adjusted to evaluate the bond strength between the electrode materials and CFs using peel tests, followed by evaluation of the specific capacitance per unit weight of the corresponding electrode materials using cyclic voltammetry. The CF electrodes were fabricated by adjusting the amount of the NMP solvent in the slurry to ensure a high electrode material content while achieving uniform infiltration and coating of the slurry components within the CF tow. The electrodes were used to fabricate structural supercapacitors by coating them with polyvinyl alcohol (PVA) gel electrolytes containing potassium acetate and then sandwiching two such electrodes. The fabricated supercapacitors exhibited a specific capacitance of 24 F g−1 and a tensile strength of ∼390 MPa. In addition, series and parallel connections of the supercapacitors were demonstrated to demonstrate the scalability of the electrodes in terms of voltage and power output.
Investigation on the optimized curing cycle of epoxy resin for enhancing thermal and mechanical properties of glass fiber reinforced plastic applications
Authors: Kang Seung In , Son Seung Mo , Heo Su Jeong , Seong Dong Gi 
Published: January 2025

Abstract
Understanding the thermal and mechanical behavior of epoxy resins under varying curing conditions is critical for optimizing the performance of fiber-reinforced plastics (FRP) in industrial applications. This study investigates the influence of curing temperature and post-curing stages on key epoxy properties, including heat distortion temperature (HDT), glass transition temperature (Tg), and crosslinking density, and evaluates their impact on the performance of glass FRPs (GFRPs). Two epoxy resin systems with distinct Tg were examined using differential scanning calorimetry to asses curing behavior and dynamic mechanical analysis to evaluate HDT, Tg, and crosslinking density. As curing temperature increased, the 1050/1056 epoxy resin system exhibited improvements in HDT, Tg, and crosslinking density (up to 69 °C, 78.3 °C, and 1674.6 mol m−3 respectively) with further enhancements observed after post-curing. Similarly, under the same conditions, the 1800/1805 epoxy resin system demonstrated changed value (up to 97 °C, 108.9 °C, 2287.6 mol m−3 respectively) with further improvements observed after post-curing. These changes in properties were validated through GFRP performance metrics, with tensile strength reaching up to 558.5 MP and shore A hardness up to 92.5 under optimized curing conditions. These findings reveal how curing conditions significantly affect both the thermal and mechanical properties of epoxy and epoxy-based composites, offering valuable insights for tailoring performance in applications such as molds, structural components, and high-precision industrial systems.
Introduction of 3D-printed porous structures with interconnected porosities via rotation of each layer around a normal axis: Investigating the effects of annealing and printing parameters on the compressive strength and modulus of the structures
Authors: Safi Jahanshahi Amin , Akhoundi Behnam 
Published: January 2025

Abstract
This study introduces 3D-printed porous structures made of polylactic acid (PLA) with interconnected porosities for tissue engineering as an alternative to bone scaffolds. Then the effects of process parameters and annealing heat treatments on the compressive strength and modulus of the porous samples have been investigated. The examined parameters include extrusion width, layer height, infill pattern, and infill percentage. To create porous structures with interconnected porosities, the infill pattern is rotated by eighteen degrees in each layer, forming new porous structures that can be utilized as bone scaffolds in tissue engineering. After evaluating the compressive mechanical properties of the samples and examining the effects of printing parameters on them, similar samples were subjected to heat treatment, and their compressive mechanical properties were also investigated. The results indicate that the maximum compressive strength and modulus occur in the sample with an extrusion width of 0.6 mm, a layer height of 0.25 mm, a wiggle infill pattern, and a maximum infill percentage. The un-heat-treated sample’s compressive strength and modulus values are 84.51 MPa and 2.28 GPa, respectively. In contrast, these values are 105.44 MPa and 2.29 GPa for the heat-treated sample.
Design and control of redundant-actuated Six-DOF micropositioning stage with magnetic gravity compensation
Authors: Tang Xu , Xu Yifan , Liu Xingyu 
Published: January 2025

Abstract
The performance of ultra-precision positioning stages is particularly critical in the field of ultra-precision manufacturing. This paper presents the design of an eight-actuator redundant six-degree-of-freedom micropositioning stage with magnetic suspension gravity compensation (6-DOF RDMS). All drives are electromagnetic direct-drive systems based on voice coil motors (VCMs). The vertical motors incorporate a Halbach array and a magnetic suspension gravity compensation structure. A mathematical model and a finite element model are established for the designed positioning stage. The models are utilized for magnetic field and magnetic force analysis, thermal analysis, and analysis of the dynamic force-induced deformation of stator to ensure operational stability. A decoupling control system for the six-degree-of-freedom micropositioning stage is developed, mapping the six degrees of freedom to the control loops of the eight actuators to achieve high-precision positioning. Finally, a prototype was constructed, validating the effectiveness and feasibility of the structural design and the decoupling control system.
Convolutional neural network-based wire-cut image recognition and defect detection research
Authors: Li Xiaopeng , Wang Yuangang , Wang Zhen 
Published: January 2025

Abstract
This paper presents an advanced defect detection system for wire Electrical Discharge Machining (EDM), utilizing Convolutional Neural Networks (CNNs) to automatically identify, classify, and localize defects such as cracks, notches, and burrs. Wire EDM is a precision manufacturing process critical for cutting conductive materials, where defect detection plays a vital role in ensuring product quality. The proposed method incorporates a modified ResNet-50 architecture, optimized specifically for defect detection in wire EDM. The architecture leverages deep residual learning to enhance feature extraction, allowing the system to detect minute defects effectively. A dataset of 10,000 RGB images (224 × 224 pixels) was used for training, with the model achieving an impressive 95.3% accuracy, 94.2% recall, 95.8% precision, and 94.7% F1 score on the test set. The system demonstrated excellent performance in detecting cracks, though it showed slightly lower performance on deformation-related defects. A comprehensive comparison with traditional defect detection methods and other deep learning models underscores the superiority of the proposed approach in terms of both accuracy and robustness. The results indicate that this CNN-based system offers a reliable and efficient solution for quality control in wire EDM processes. Future research will focus on further optimizing the network for real-time defect detection and extending the approach to incorporate multi-modal data, such as sensor and acoustic signals, to improve overall detection performance.
Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders
Authors: Honrubia Miguel Monteagudo , Herraiz-Martínez Francisco Javier , Domingo Javier Matanza 
Published: January 2025

Abstract
For many sensing applications, collecting a large experimental dataset could be a time-consuming and expensive task that can also hinder the implementation of Machine Learning models for analyzing sensor data. Therefore, this paper proposes the generation of synthetic signals through a Variational Autoencoder (VAE) to enlarge a spectra dataset acquired with a capacitive sensor based on a Dielectric Resonator. Trained with signals of several water/glycerine concentrations, this generative model learns the dataset characteristics and builds a representative latent space. Consequently, exploring this latent space is a critical task to control the generation of synthetic signals and interpolating concentrations unmeasured by the sensor. For this reason, this paper proposes a search method based on Bayesian Optimization that automatically explores the latent space. The results show excellent signal reconstruction quality, proving that the VAE architecture can successfully generate realistic synthetic signals from capacitive sensors. In addition, the proposed search method obtains a reasonable interpolation capability by finding latent encodings that generate signals related to the target glycerin concentrations. Moreover, this approach could be extended to other sensing technologies.
Political Machines
Authors: Albrecht Eduardo 
Published: January 2025

Abstract
Globally, governments are increasingly using artificial intelligence to collate information about their citizens and allocate resources, effectively creating political machines. As technology evolves, these machines are making progressively more complex decisions, which can be considered a form of political automation. This chapter examines existing debates in the academic literature in areas such as predictive policing, the impact on democracy, the ethics of algorithmic technologies, and regulatory aspects such as privacy. The chapter also considers the changes occurring in culture due to what are termed roboprocesses—or the hidden algorithms that shape how we think about and interact with the world. The structure and main objectives of the book are also laid out, and a brief introduction is given to the notion of a novel institutional body to bridge the divide between political machines and the citizenry.
The Eye of Nations
Authors: Albrecht Eduardo 
Published: January 2025

Abstract
This chapter reviews the endeavors of multilateral organizations like the United Nations to collect information about peoples’ wider environment to predict, and potentially prevent, collective violence such as armed conflict. Starting with the League of Nations, the history of the multilateral system’s data collection efforts is explored, as well as the variety of data and technologies used to map and understand international security dynamics and support peacekeeping efforts. The chapter then discusses contemporary uses of data analytics, machine learning, and predictive technologies in conflict prevention and the development of the field referred to as “peacetech.” The concern is addressed that these technologies may be vulnerable to manipulation in myriad ways and, consequently, there is a need for ethical guidance related to consent, privacy, data ownership, social harms, and potential geopolitical biases.
Synopsis
Authors: Malcolm Rosalind , Pointing John 
Published: January 2025

Abstract
This book is concerned with the law and practice of statutory nuisances falling under Part III of the Environmental Protection Act 1990 (EPA 1990). Statutory nuisance lies at the heart of the controls available to local councils with which to deal with environmental complaints. Situated at the front line of public health are to be found local authority environmental health practitioners. Seldom does their work catch the public eye in the same way as that of the national enforcement agencies, but the moment a local resident finds himself embroiled in a public health issue, then it is the local council which is the first port of call. Whether a complaint is about noise, smells, accumulations of rubbish, or other such nuisances, it will be dealt with locally by publicly accountable authorities whose decisions and actions will have an immediate impact on the quality of life of ordinary residents and people working in the area.
Premises
Authors: Malcolm Rosalind , Pointing John 
Published: January 2025

Abstract
Premises may be in such a state that they constitute a statutory nuisance to the occupier of those premises (an ‘internal nuisance’) or to an adjoining occupier. When premises fall into the internal nuisance category, this will, normally, fall under the health limb of section 79(1)(a) of the Environmental Protection Act 1990 (EPA 1990) since there is no element of a private or public nuisance present. Some actual or threatened injury to health must then be shown.
Accumulations And Deposits
Authors: Malcolm Rosalind , Pointing John 
Published: January 2025

Abstract
It first appeared in section 8 of the Nuisances Removal Act 1855: ‘Any Accumulation or Deposit which is a Nuisance or injurious to Health’. It was consolidated in section 92(c) of the Public Health Act 1936: ‘any accumulation or deposit which is prejudicial to health or a nuisance’ and is now contained in the EPA 1990 with the same wording.
Section 82 Proceedings
Authors: Malcolm Rosalind , Pointing John 
Published: January 2025

Abstract
As a key mechanism for the local control of polluting activities which are harmful to people, the control of statutory nuisances lies principally with local authorities. However, there is also a route whereby a private individual may prosecute such proceedings himself. This may be necessary where a local authority fails to act or where the action is against the local authority itself.
Overview of Evidential Issues and Preparation for Court
Authors: Malcolm Rosalind , Pointing John 
Published: January 2025

Abstract
Prosecuting for a failure to comply with an abatement notice under section 80(4) of the Environmental Protection Act 1990 (EPA 1990), appealing against an abatement notice under section 80(3), or bringing summary proceedings under section 82(1), follow the usual procedures applying in the magistrates’ courts. Aspects of statutory nuisance cases may cause particular problems. Notable among these are the evidential issues pertaining to the investigation of the statutory nuisance and the use of expert technical and scientific evidence. The rules of advance disclosure can also cause difficulties. This chapter therefore focuses on evidential issues which the practitioner may encounter when appealing against an abatement notice, or when prosecuting or defending in criminal proceedings.