bluuebunny/crossref_metadata_2025_split huggingface dataset:
Geospatial approaches for formulating multisystem silviculture in the tropical forests
Authors: Kiswanto  , Mardiany  , Murtinah V , Tsuyuki S 
Published: March 2024

Abstract
The Indonesian Ministry of Environment and Forestry (MoEF) issued regulations that allow the use of multiple silvicultural systems throughout a single period of a forest management work plan, known as multisystem silviculture (MSS), to increase the productivity and economic value of forests. However, certain technical issues still need to be resolved before an MSS can be successfully implemented on-site, particularly in terms of scheming the silvicultural system and selecting the appropriate site. This study developed silvicultural systems based on the modelling of geospatial data on current land cover, forest function, slope, and erosion risk. In this study, forest harvesting techniques (prohibited, selective, and clear-cutting) and regeneration approaches (natural, enrichment, and line planting) were formulated by overlaying four thematic maps and applying modelling rules. For specific locations, overlay thematic modelling maps of forest harvesting and regeneration techniques have been verbalized as MSS, such as selective cutting with enrichment planting, selective cutting with line planting, clear-cutting with intensive planting, and many other systems. The results of this geospatial modelling will assist forest managers in creating forest management plans with MSS within particular forest objectives. Additionally, this study supports policymakers in rising technical procedures for implementing multisystem silviculture.
Carbon footprint measurement using a mobile app integrated with IoT technology
Authors: Blanquicett L. , Murillo L. , Fernandez F. 
Published: March 2024

Abstract
It is known that global warming and the carbon footprint are directly proportional, that is, the more carbon footprint there is, the more global warming there will be, for this reason it was decided to take this environmental problem and calculate the carbon footprint of the engineering faculty of the Sinú University, in this way, the university can know the CO2 emission that is emitted in the faculty and in this way be able to take actions regarding the mitigation of these emissions. For this, a mobile application was developed with the Dart development language, this application can perform manual calculations of the carbon footprint, and a real-time calculation was implemented through a sensor that is connected to an Arduino, this Sensor can measure the electrical flow of a device and sends the information to an IoT server. Knowing the electric flux, the carbon footprint can be calculated. The application allows to control emissions, and organizes this information by means of graphs, and in this way the user can have a better understanding of the stored information.
Educational strategies applied to the logistics system of transport, treatment and final disposal of used lubricating oils in Colombia
Authors: Murcia J C , Hernández L J , López D A 
Published: March 2024

Abstract
In Colombia, one of the problems that is evident and that is gaining strength is related to the inadequate management of dangerous resources such as used lubricating oils (ALU) from automobiles and motorcycles, where it is observed that there is no adequate pedagogical strategy on logistics systems or logistics processes that allow optimal final disposal, thus avoiding contamination and alteration in the environment. The methodology that was used for this investigation is of a mixed type, with a descriptive investigation, where the ignorance of the conditions for the adequate handling, treatment and disposal of used lubricating oils can be identified, emphasizing small and medium-sized mechanical companies. Mechanical workshops mainly in neighborhoods located in the city of Bogotá and mostly in locations that do not have the latest technology to provide such service. As results of the investigation, it was found that there is no educational model of socialization of a structured logistics system for establishments that provide mechanical services, in addition to the lack of training and awareness on the part of companies and entities dedicated to the use of this type of substances, denoting the importance of providing learning tools from the proposed educational strategy.
Optimization of drilling parameters on delamination and burr formation in drilling of neat CFRP and hybrid CFRP nano-composites
Authors: Shahabaz S M , Shetty Nagaraja , Sharma Sathyashankara , P K Jayashree , Shetty S Divakara , Naik Nithesh 
Published: March 2024

Abstract
Carbon fibre-reinforced polymer (CFRP) composites have exceptional mechanical advantages such as high specific strength and stiffness, lightweight, and high damping capacity, making them very attractive for aircraft, aerospace, automotive, marine, and sporting applications. However, various defects such as delamination, burr formation, and surface roughness are observed during the drilling of CFRP composites, which are influenced by various drilling process parameters. In this work, the drilling quality of uni-directional CFRP composites. and the hybrid Al2O3 and hybrid SiC nano-composites are investigated experimentally using different types of drills such as step drill, core drill, and twist drill, as there is a limited study done on the comparative analysis of the impact of the above drills on the delamination factor and burr area on the above CFRP and hybrid nano-composites. The design of the experiment table was developed using response surface methodology (RSM) for input process parameters of spindle speed, feed, drill diameter, and drill type. The output surface characteristics (delamination factor and burr area) of the hole were measured quantitatively using the stereo zoom optical microscope. The main effect plots, contour plots, and analysis of variance (ANOVA) were used to examine the effect of spindle speed, feed, drill diameter, and drill type on exit delamination and burr formation. The analysis of main effect plots, contour plots, and analysis of variance showcased the optimum process parameters, such as a high spindle speed of 5500 rpm, low feed of 0.01 mm/rev, and drill diameter of 4 mm. The step drill demonstrated the least damage mechanism among drill geometries, followed by the twist and core drills. The minimum drilling damage was observed for the Al2O3 hybrid nano-composite compared to the neat CFRP composites.
Behaviour of glass and sisal incorporated gypsum based composite panels under axial compression–experimental and numerical study
Authors: Ammayappan Sutha , Marimuthu Pandurangan Muthuraj , Ramanathan Thirumalai 
Published: March 2024

Abstract
Gypsum based composite (GBC) Wall panels are being used in precast concrete industry as the panels are low cost, energy consumption, good habitability, and good fire resistance. This paper presents the studies related to gypsum based composite panels incorporated with glass and sisal fibers. The main objective of the research is to investigate the capacity of gypsum based composite wall panel subjected to axial compression with and without eccentricity. The panels were loaded in axial compression with and without eccentricity. Gypsum, white cement, fibres (glass fibers or sisal fibers) are used to prepare composite panels of size 1000 (length) × 500 (width) × 125 (thickness) mm. Total four panels (two with glass fibers and two with sisal fibers) were tested under axial compression (two panels without eccentricity and two panels with eccentricity) were tested under load control. From the tests, it was observed that the eccentric load application on the panels is very significant compared to normal load application. Significant decrease in the ultimate load is observed for the case of panels subjected to eccentric loading. Nonlinear finite element analysis for the fibre incorporated (E-glass and sisal) gypsum based composite panels under axial compression has been carried out by using the general purpose finite element software.
From pixels to prognosis: unveiling radiomics models with SHAP and LIME for enhanced interpretability
Authors: Raptis Sotiris , Ilioudis Christos , Theodorou Kiriaki 
Published: March 2024

Abstract
Radiomics-based prediction models have shown promise in predicting Radiation Pneumonitis (RP), a common adverse outcome of chest irradiation. Τhis study looks into more than just RP: it also investigates a bigger shift in the way radiomics-based models work. By integrating multi-modal radiomic data, which includes a wide range of variables collected from medical images including cutting-edge PET/CT imaging, we have developed predictive models that capture the intricate nature of illness progression. Radiomic features were extracted using PyRadiomics, encompassing intensity, texture, and shape measures. The high-dimensional dataset formed the basis for our predictive models, primarily Gradient Boosting Machines (GBM)—XGBoost, LightGBM, and CatBoost. Performance evaluation metrics, including Multi-Modal AUC-ROC, Sensitivity, Specificity, and F1-Score, underscore the superiority of the Deep Neural Network (DNN) model. The DNN achieved a remarkable Multi-Modal AUC-ROC of 0.90, indicating superior discriminatory power. Sensitivity and specificity values of 0.85 and 0.91, respectively, highlight its effectiveness in detecting positive occurrences while accurately identifying negatives. External validation datasets, comprising retrospective patient data and a heterogeneous patient population, validate the robustness and generalizability of our models. The focus of our study is the application of sophisticated model interpretability methods, namely SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-Agnostic Explanations), to improve the clarity and understanding of predictions. These methods allow clinicians to visualize the effects of features and provide localized explanations for every prediction, enhancing the comprehensibility of the model. This strengthens trust and collaboration between computational technologies and medical competence. The integration of data-driven analytics and medical domain expertise represents a significant shift in the profession, advancing us from analyzing pixel-level information to gaining valuable prognostic insights.
Extraction of time-frequency ridge line based on automatic peak search and curve fitting
Authors: Hu Zhihui , Wang Junxi , Wang Gongxian , Wen Shengtian , Li Zhuo 
Published: March 2024

Abstract
Instantaneous rotational frequency (IRF) plays a crucial role in diagnosing bearing faults under variable speed conditions. However, accurately extracting the rotational frequency becomes challenging due to significant noise and strong harmonic interference. To address this issue, this paper proposes an approach for extracting Time-frequency ridge line through automatic peak search and curve fitting with a minimal number of parameters. The approach eliminates disturbance from harmonics and noise by locating peak coordinates within specified areas. Moreover, these peak coordinates were fitted as interpolated nodes to prevent sudden changes in the curve due to noise interference. It also enhances the accuracy of the extracted ridge. The efficacy of the proposed technique is confirmed through simulations and specially designed test bench data. Results show that IRF-estimation errors of our method fall by about 20% compared with those of any traditional method, approaching TKEO and Phase Demodulation without using too many parameters.
The Heart and its Attitudes
Authors: Darwall Stephen 
Published: March 2024

Abstract
The book provides the first systematic treatment of attitudes that mediate heartfelt connection: second-personal attitudes of the heart. These are instances of what P. F. Strawson called “reactive attitudes,” but they are much less studied than those—guilt, resentment, and blame—that mediate mutual accountability: second-personal attitudes of the will. Both sets of attitudes are held from a “participant” or second-person standpoint, imply address, and call for reciprocation. But whereas the attitudes that mediate accountability, and therefore deontic morality, implicitly demand respect, second-personal attitudes of the heart invite, and hope for, rather than demand or expect, heartfelt connection. Examples include love, gratitude, trust, faith, hope, and a host of others. Although attitudes of both kinds are inevitably involved in human relationship, deontic attitudes of the will mediate our relations to other persons considered simply as one person among others, which is the fundamental relationship of deontic morality. Attitudes of the heart, by contrast, mediate personal relationship in which we share heartfelt connection. By studying both attitudes of the will and attitudes of the heart, the book is able to provide the first general characterization of reactive attitudes. A reactive attitude is any attitude felt from a second-person stance that implicitly calls for the person who is its object to have a reciprocal attitude in return—whether an attitude of the will or an attitude of the heart.
Love
Authors: Darwall Stephen 
Published: March 2024

Abstract
Chapter 5 is a study of the central attitude of the heart: love. Just as respect is implicit in all reactive attitudes of the will, so also is love implicit in all attitudes of the heart. It has their core feature: opening the heart to another heart in the hope that the other’s heart will be open in response so that they share heartfelt connection. Love will thus be an aspect of all the attitudes of the heart we will discuss, including personal anger. Anger is frequently occasioned by and is a defense against hurt feelings. It is an aggressive heart protection policy. Love is a second-personal attitude of holding, beholding, and upholding. Love and respect are responses to and recognize two different aspects of our intrinsic value. To love someone is to see them as worthy of love. To respect someone, by contrast, is to recognize their dignity.
Trust and Hope
Authors: Darwall Stephen 
Published: March 2024

Abstract
Chapter 6 discusses two closely connected attitudes of the heart: trust and hope. What is basic to all forms of trust is trust’s second-personal character, which sets it apart from mere reliance. There is, however, a kind of trust that is distinctively personal. When personal trust of this kind is unfulfilled, we are more likely to use the language of personal disappointment, sadness, and hurt feelings than of blame and moral indignation. This difference between deontic and personal trust is reflected in the contrast between deontic reactive attitudes—attitudes of the will—and attitudes of the heart quite generally. But although we can expect respect, love, and therefore, trust, hope, and other attitudes of the heart are nothing that can be demanded or expected. Hopes that we place in someone differ from any hope that they will do something or other.
What influences life expectancy in people with dementia? Social support as an emerging protective factor
Authors: Blotenberg Iris , Boekholt Melanie , Michalowsky Bernhard , Platen Moritz , Rodriguez Francisca S , Teipel Stefan , Hoffmann Wolfgang , Thyrian Jochen René 
Published: March 2024

Abstract

Background
The aim of this study was to investigate the role of support from the social environment for the life expectancy in people with dementia beyond well-established individual demographic and clinical predictors over a period of up to 8 years.

Methods
The analyses are based on data from 500 community-dwelling individuals in Germany who tested positive for dementia and were followed up for up to 8 years. Life expectancy was examined in relation to perceived social support as well as well-established socio-demographic (age, sex) and clinical predictors (cognitive status, functional status, comorbidities), using Cox regressions.

Results
Greater support from the social environment reduced the risk of mortality (hazard ratio [HR]: 0.78; 95% confidence interval [CI]: 0.63–0.98), with the role of emotional support being particularly important. Furthermore, higher age was associated with an increased mortality risk (HR: 1.08; 95% CI: 1.05–1.11), while female sex (HR: 0.64; 95% CI: 0.48–0.85) and higher cognitive (HR: 0.96; 95% CI: 0.93–0.98) and functional status (HR: 0.91; 95% CI: 0.86–0.97) were associated with higher life expectancy.

Conclusion
Our study provides novel evidence that less support from the social environment, especially emotional support, is a risk factor for shorter life expectancy in people with dementia—beyond known clinical factors. Not only the clinical and caregiving needs but also their psychosocial needs of individuals with dementia should be emphasised.
Fast peak error correction algorithms for proteoform identification using top-down tandem mass spectra
Authors: Zhan Zhaohui , Wang Lusheng 
Published: March 2024

Abstract

Motivation
Proteoform identification is an important problem in proteomics. The main task is to find a modified protein that best fits the input spectrum. To overcome the combinatorial explosion of possible proteoforms, the proteoform mass graph and spectrum mass graph are used to represent the protein database and the spectrum, respectively. The problem becomes finding an optimal alignment between the proteoform mass graph and the spectrum mass graph. Peak error correction is an important issue for computing an optimal alignment between the two input mass graphs.

Results
We propose a faster algorithm for the error correction alignment of spectrum mass graph and proteoform mass graph problem and produce a program package TopMGFast. The newly designed algorithms require less space and running time so that we are able to compute global optimal alignments for the two input mass graphs in a reasonable time. For the local alignment version, experiments show that the running time of the new algorithm is reduced by 2.5 times. For the global alignment version, experiments show that the maximum mass errors between any pair of matched nodes in the alignments obtained by our method are within a small range as designed, while the alignments produced by the state-of-the-art method, TopMG, have very large maximum mass errors for many cases. The obtained alignment sizes are roughly the same for both TopMG and TopMGFast. Of course, TopMGFast needs more running time than TopMG. Therefore, our new algorithm can obtain more reliable global alignments within a reasonable time. This is the first time that global optimal error correction alignments can be obtained using real datasets.

Availability and implementation
The source code of the algorithm is available at https://github.com/Zeirdo/TopMGFast.
All tidal wetlands are blue carbon ecosystems
Authors: Adame Maria Fernanda , Kelleway Jeff , Krauss Ken W , Lovelock Catherine E , Adams Janine B , Trevathan-Tackett Stacey M , Noe Greg , Jeffrey Luke , Ronan Mike , Zann Maria , Carnell Paul E , Iram Naima , Maher Damien T , Murdiyarso Daniel , Sasmito Sigit , Tran Da B , Dargusch Paul , Kauffman J Boone , Brophy Laura 
Published: March 2024

Abstract
Managing coastal wetlands is one of the most promising activities to reduce atmospheric greenhouse gases, and it also contributes to meeting the United Nations Sustainable Development Goals. One of the options is through blue carbon projects, in which mangroves, saltmarshes, and seagrass are managed to increase carbon sequestration and reduce greenhouse gas emissions. However, other tidal wetlands align with the characteristics of blue carbon. These wetlands are called tidal freshwater wetlands in the United States, supratidal wetlands in Australia, transitional forests in Southeast Asia, and estuarine forests in South Africa. They have similar or larger potential for atmospheric carbon sequestration and emission reductions than the currently considered blue carbon ecosystems and have been highly exploited. In the present article, we suggest that all wetlands directly or indirectly influenced by tides should be considered blue carbon. Their protection and restoration through carbon offsets could reduce emissions while providing multiple cobenefits, including biodiversity.
O121: Advancing Surgical Innovations: A Novel Approach to Engineering an Off-The-Shelf Bone-Tendon Junction Scaffold Suitable for Transplantation
Authors: Bhaskara Nagavaishnavi Venkata , Sawadkar Prasad , Lali Ferdinand , Reissis Nikos , Hua Jia 
Published: March 2024

Abstract

Background
Musculoskeletal injuries occurring at a staggering rate of 1.7 billion annually, frequently involve the complex bone-tendon junction (BTJ) often due to tear from tendon end due to cyclical strain. Current treatment options, varying from repair to reconstruction usually result in suboptimal outcomes due to structural inconsistencies.

Methods
In this novel study, we developed comprehensive approach to tackle this clinical challenge. We subjected BTJ tissue harvested from rabbit lower limbs (N=22) to decellularisation process. This involved 5-day demineralisation with 5% formic acid, followed by 8-day proprietary decellularisation method. Further, decellularised bone segments were immersed in Ca-P simulated body fluid for 24 hours to achieve mineral phase and enhance cell attachment. To facilitate recellularisation, adipose-derived stem cells were cultured in differentiating media for 14 days, differentiating into osteoblasts and fibroblasts for bone and tendon segments respectively. Cell phenotype was characterised using cell identification assays. Precise injection of differentiated cells into respective segments was conducted under cyclical mechanical loading with innovative stepper motor device, simulating native tissue physiology.

Results
Confirmation of effective decellularisation was established through histological characterisation and DNA quantification, with DNA content reduced to &lt;50ng/mg (p&lt;0.05) in bone segment. Successful recellularisation of decellularised scaffold and cell alignment in direction of mechanical load was confirmed through histological analysis on day 5. Comparative analysis revealed similarities in properties between control, remineralised, and recellularised bone, presenting this approach as a promising regenerative technique.

Conclusion
Our approach offers hope to potentially revolutionise clinical outcomes in this challenging domain by effectively replicating native tissue properties.