bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community of Learning as a World-Building Environment
Authors: Manrique Ernesto Lleras , Pérez Ángel Alonso Gutiérrez 
Published: August 2024

AbstractIn this article, we present what we believe to be the fundamental problem of production systems in Colombia: the domination relationships inherited from colonial structures. We introduce the theoretical foundations of the Community of Learning approach, which we have been developing over the past decades as an option to overcome this issue. We argue that, in the contemporary Latin American context, these relationships are intertwined with the training of individuals for integration into the productive system and its close association with technological tools. This results in the establishment of a domineering sociotechnical system linked to coloniality which some authors associate with modernity. The theoretical foundation of the learning communities approach stems from a philosophical tradition that seeks to examine from a systemic point of view the relationships of domination that produce the alienation of the subject. Our proposal is to establish a pedagogical space for transcending relations of domination, where individuals can explore their identities through interactions with others. In this approach, we aim to foster spaces for collective world-building by affirming one’s own subjectivity within interactions with the environment. We view the technical dimension as inherently linked to these interactions. We term this approach the Community of Learning model, wherein we collectively shape the world through practices that are seen as meaningful actions transforming relationships into learning processes. This approach can be regarded as a means to transcend the domineering aspects of technological practices while concurrently engaging in learning and world-building endeavors. We present, as an example, the results obtained in several cases applying this approach and some proposals that can contribute to effective practices when implementing the Community of Learning approach.
Midpoint characterization factors to assess impacts of turbine water use from hydropower production
Authors: Dorber Martin , Scherer Laura , Verones Francesca 
Published: August 2024

Abstract
Purpose
Life cycle assessment (LCA) distinguishes three types of water use: (1) consumptive water use, (2) degradative water use, and (3) in-stream water use. When it comes to assessing the impact of turbine water use (TWU, major source of in-stream water use) in LCA, so far, no method exists to quantify the related environmental impacts. Here, we developed the first midpoint characterization factors (CFs) with global coverage for turbine water use of storage and pumped storage hydropower power plants.

Methods
The midpoint CF at the basin scale describes the hydropower regulation potential (HRP) [HDOR·y] per TWU [m3]. The HRP indicates the probability of how strongly the natural flow regime of a river is potentially affected by all upstream reservoir operation, calculated as the quotient between reservoir volume [m3] and the annual river discharge [m3/y]. The hydropower degree of regulation (HDOR) thereby equals the unitless m3/m3 fraction. The TWU depends on the electricity production [kWh] and the turbine efficiency [m3/kWh]. We tested the sensitivity of the input data on the calculated CFs for four parameters (discharge, turbine efficiency, multipurpose allocation, and plant type). Furthermore, we performed a case study to analyze if consumptive and TWU impacts of producing 1 kWh are correlated or not.

Results and discussion
The calculated CFs for the 342 basins vary from 1.13E-13 HDOR·y/m3 to 3.28E10-7 HDOR·y/m3. The HDOR values range from 0.0015 to 16.66, and the TWU varies between 0.0030 km3 and 2824 km3. A HDOR ≥ 0.02 can be interpreted as affected basin, and only 23 out of 342 basins have a HDOR below this threshold. This confirms that TWU of hydropower production can have important environmental impacts. The sensitivity analyses revealed that discharge and turbine efficiency are the most sensitive parameters because they are influencing almost all basins. The results of the case study showed that a high consumptive water-use impact does not automatically lead to a high TWU impact and vice versa (R2 values of 0.0081 and 0.003).

Conclusion
Our study highlights that it is important to account for the environmental impacts of in-stream water use in LCA, as otherwise, the environmental impact can be underestimated, which could lead to wrong conclusions. However, the CFs are not meant to replace a local risk assessment of hydropower reservoir operation and should only be used for relative comparison between basins. The CF application in LCA will represent a step forward towards more sustainable hydropower development.
Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images
Authors: Righetti Francesca , Rubiu Giulia , Penso Marco , Moccia Sara , Carerj Maria L. , Pepi Mauro , Pontone Gianluca , Caiani Enrico G. 
Published: August 2024

AbstractThis work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence. The CNN performance comparison in respect to expert interpretation of CMR with late gadolinium enhancement (LGE) images, used as ground truth (GT), was conducted on 206 patients (158 scar, 48 control) from Centro Cardiologico Monzino (Milan, Italy) at both slice- and patient-levels. Left ventricle dynamic features were extracted in non-enhanced cine images using parametric images based on both Fourier and monogenic signal analyses. The CNN, fed with cine images and Fourier-based parametric images, achieved an area under the ROC curve of 0.86 (accuracy 0.79, F1 0.81, sensitivity 0.9, specificity 0.65, and negative (NPV) and positive (PPV) predictive values 0.83 and 0.77, respectively), for individual slice classification. Remarkably, it exhibited 1.0 prediction accuracy (F1 0.98, sensitivity 1.0, specificity 0.9, NPV 1.0, and PPV 0.97) in patient classification as a control or pathologic. The proposed approach represents a first step towards scar detection in contrast-free CMR images. Patient-level results suggest its preliminary potential as a screening tool to guide decisions regarding LGE-CMR prescription, particularly in cases where indication is uncertain.
Graphical abstract
Comparison between DaVinci® and Hugo™-RAS Roux-en-Y Gastric Bypass in bariatric surgery
Authors: Pennestrì Francesco , Marincola Giuseppe , Procopio Priscilla Francesca , Gallucci Pierpaolo , Salvi Giulia , Ciccoritti Luigi , Greco Francesco , Raffaelli Marco 
Published: August 2024

AbstractThe application of a robotic platform in the bariatric surgical field is intended to enhance the already established advantages of minimally invasive surgery in terms of both technical and clinical outcomes. These advantages are especially relevant for technically challenging multiquadrant operations such as Roux-en-Y Gastric Bypass (RYGB). Consequently, robotic-assisted surgery has emerged as a possible application for bariatric surgeries. The study attempts to assess feasibility and safety of the Hugo™-Robotic-Assisted Surgery System (Hugo™-RAS) platform compared to the DaVinci® Surgical System (DaVinci®-SS) with a focus on complication rates and operative times. We retrospectively reviewed bariatric procedures performed from January 2013 until December 2023. We included all robotic RYGBs performed using Hugo™-RAS and DaVinci®-SS platforms. The study utilized Propensity Score Matching (PSM) analysis to address bias in selection, matching patients based on age, gender, body mass index, comorbidities and past abdominal operations. One hundred thirty-five patients were identified: 90 DaVinci®-SS and 45 Hugo™-RAS procedures. After PSM, each group consisted of 45 patients. There was no discernible disparity observed in relation to early (≤ 30 days) postoperative complications rate (p = 1), mean operative time (for docking time, console time and total operative time: p = 0.176, p = 0.678, p = 0.229, respectively) and postoperative hospital stay (p = 0.052) between DaVinci®-RSS and Hugo™-RAS procedures. Our results suggest that application of both Hugo™-RAS and DaVinci®-SS robotic platforms to RYGB is related to comparable safety profiles. Although DaVinci®-SS remains the most widely adopted platform in clinical practice, this study underscores the potential role of the Hugo™-RAS to provide effective solutions in robotic bariatric procedures.
Assessment of MDM2 Gene Locus Amplification by Fluorescence In-Situ Hybridization in Juvenile Ossifying Fibroma
Authors: Alotaiby Faraj , Alramadhan Saja A. , Fitzpatrick Sarah G. , Islam Mohammed N. , Cohen Donald M. , Bhattacharyya Indraneel 
Published: August 2024

Abstract
Juvenile ossifying fibroma (JOF) is an uncommon benign fibro-osseous lesion (BFOL) of the maxillofacial bones with a locally aggressive nature and a high recurrence rate. Murine Double Minute 2 (MDM2) is an oncogene located at chromosome 12 (12q13-15) that inhibits the tumor suppressor gene TP53. The presence of MDM2 gene locus amplification is a useful molecular adjunct in the evaluation of some sarcomas, including low-grade intramedullary osteosarcoma (LGIOS). JOF and LGIOS have some overlapping clinical and histopathological features. The aim of this study is to evaluate a series of JOF for the presence of MDM2 gene locus amplification using fluorescence in-situ hybridization (FISH).

Materials and methods
With IRB approval, a search of the institutional files of the archives of the Oral Pathology and Surgical Pathology biopsy services at the University of Florida Health was performed. The cases were re-evaluated by an oral pathology resident, an oral and maxillofacial pathologist, and a bone and soft tissue pathologist. Cases with consensus in diagnosis were selected (n = 9) for MDM2 testing. Testing by FISH for MDM2 gene locus amplification was applied to all retrieved cases.

Results
The examined cases were all negative for MDM2 gene locus amplification via FISH testing.

Conclusion
In our small series, JOF did not demonstrate MDM2 gene locus abnormality, a characteristic of LGIOS. This finding suggests that JOF has a distinct underlying pathogenesis. If confirmed in a larger series, these findings may be useful in distinguishing these two entities in cases with overlapping features or when minimal biopsy material is available.
Participation of women in clinical studies of atrial fibrillation in the Northern Netherlands
Authors: Khalilian Ekrami Neda , Baron Dawid K. , Benjamin Emelia J. , Mulder Bart A. , Van Gelder Isabelle C. , Rienstra Michiel 
Published: August 2024

Abstract
Introduction
Concerns exist of women underrepresentation in atrial fibrillation (AF) studies, potentially limiting the generalisability of study findings to women with AF. We assessed the participation of women in AF clinical studies performed at a tertiary care centre in the Northern Netherlands.

Methods
Eight AF clinical studies with screening logs were available for analysis. To identify sex-specific differences, patient inclusion and exclusion and reasons for exclusion were assessed. Participation-to-prevalence ratios (PPRs) were calculated to evaluate the representation of women in the studies relative to the AF sex distribution of the general population in the Netherlands (2019 Global Burden of Disease study).

Results
We included 1739 screened patients with AF in the analysis, of whom 722 (41.5%) were women. Of the patients screened, 161 (9%) were enrolled. Median age of screened patients was 69 years (interquartile range (IQR): 61–77), and women were older than men (71 years; IQR: 63–79 vs 68 years; IQR: 60–75; p < 0.001). Women were not underscreened compared with men (PPR: 1.09; 95% confidence interval (CI): 1.08–1.10), disproportionally excluded (92% vs 90%; p = 0.10) or less willing to participate (17% vs 15%; p = 0.36). Women had an overall PPR of 1.05 (95% CI: 1.05–1.06) compared with the general AF population.

Conclusion
At our tertiary hospital in the Northern Netherlands, women appeared to be well-represented in AF studies. The current study advocates for the adoption of a more comprehensive measure of equity, such as the PPR, and screening log evaluation to improve the generalisability of study findings to the entire clinical AF population.
Explainable AI for Text Classification: Lessons from a Comprehensive Evaluation of Post Hoc Methods
Authors: Cesarini Mirko , Malandri Lorenzo , Pallucchini Filippo , Seveso Andrea , Xing Frank 
Published: August 2024

AbstractThis paper addresses the notable gap in evaluating eXplainable Artificial Intelligence (XAI) methods for text classification. While existing frameworks focus on assessing XAI in areas such as recommender systems and visual analytics, a comprehensive evaluation is missing. Our study surveys and categorises recent post hoc XAI methods according to their scope of explanation and output format. We then conduct a systematic evaluation, assessing the effectiveness of these methods across varying scopes and levels of output granularity using a combination of objective metrics and user studies. Key findings reveal that feature-based explanations exhibit higher fidelity than rule-based ones. While global explanations are perceived as more satisfying and trustworthy, they are less practical than local explanations. These insights enhance understanding of XAI in text classification and offer valuable guidance for developing effective XAI systems, enabling users to evaluate each explainer’s pros and cons and select the most suitable one for their needs.
Improving Process Mining Maturity – From Intentions to Actions
Authors: Brock Jonathan , Brennig Katharina , Löhr Bernd , Bartelheimer Christian , von Enzberg Sebastian , Dumitrescu Roman 
Published: August 2024

AbstractProcess mining is advancing as a powerful tool for revealing valuable insights about process dynamics. Nevertheless, the imperative to employ process mining to enhance process transparency is a prevailing concern for organizations. Despite the widespread desire to integrate process mining as a pivotal catalyst for fostering a more agile and flexible Business Process Management (BPM) environment, many organizations face challenges in achieving widespread implementation and adoption due to deficiencies in various dimensions of process mining readiness. The current Information Systems (IS) knowledge base lacks a comprehensive framework to aid organizations in augmenting their process mining readiness and bridging this intention-action gap. The paper presents a Process Mining Maturity Model (P3M), refined through multiple iterations, which outlines five factors and 23 elements that organizations must address to increase their process mining readiness. The maturity model advances the understanding of how to close the intention-action gap of process mining initiatives in multiple dimensions. Furthermore, insights from a comprehensive analysis of data gathered in eleven qualitative interviews are drawn, elucidating 30 possible actions that organizations can implement to establish a more responsive and dynamic BPM environment by means of process mining.
On the operational similarities of bladed rotor vibrations with casing contacts
Authors: Thiery Florian , Chandran Praneeth 
Published: August 2024

AbstractRotor-to-stator rubbing in rotating machinery, resulting from tight clearances, introduces complex dynamics that can potentially lead to high vibrations and machine failure. Historically, the rubbing models were addressed using cylinder-to-cylinder contacts; however, recent attention has shifted towards examining blade-tip contact in turbines, which affects the systems dynamics and efficiency. This study investigates the impact of the variations in blade number on bladed rotor systems, emphasizing on the types of motion that occur as function of the operational speed in the sub-critical range. A simplified bladed rotor model has been developed, using a Jeffcott rotor with blades represented as damped elastic pendulums. The equations of motion are derived and numerical simulations are performed to explore the system’s behaviour with varying blade numbers (3, 5, 7, and 10) in order to analyse displacements, contact forces and bifurcation diagrams as function of the rotating speed. Results reveal distinct regions: periodic motion (I and III) and chaotic motion (II and IV) appear alternatively in the bifurcation diagram, with the chaotic regions occurring at specific fractions of the natural frequency and the number of blades. The study concludes that chaotic motions are associated with larger displacements and higher contact forces, and the vibrational behaviour becomes less hazardous as the number of blades increases. In addition, the appearance of periodic and chaotic motions occur in the same regions by scaling the rotating speed with the number of blades and natural frequency of the system. From an operational perspective, this dynamic investigation offers valuable insights into the severity of blade rubbing in industrial systems. It can guide the implementation of mitigation solutions to prevent worst-case failure scenarios and help to perform adjustments to either operational or design parameters.
Generalization of quantum calculus and corresponding Hermite–Hadamard inequalities
Authors: Akbar Saira Bano , Abbas Mujahid , Budak Hüseyin 
Published: August 2024

AbstractThe aim of this paper is first to introduce generalizations of quantum integrals and derivatives which are called $$(\phi \,-\,h)$$

(
ϕ

-

h
)

integrals and $$(\phi \,-\,h)$$

(
ϕ

-

h
)

derivatives, respectively. Then we investigate some implicit integral inequalities for $$(\phi \,-\,h)$$

(
ϕ

-

h
)

integrals. Different classes of convex functions are used to prove these inequalities for symmetric functions. Under certain assumptions, Hermite–Hadamard-type inequalities for q-integrals are deduced. The results presented herein are applicable to convex, m-convex, and $$\hbar $$
ħ
-convex functions defined on the non-negative part of the real line.
A Novel Approach for Forecasting and Scheduling Building Load through Real-Time Occupant Count Data
Authors: Rafiq Iqra , Mahmood Anzar , Ahmed Ubaid , Aziz Imran , Khan Ahsan Raza , Razzaq Sohail 
Published: August 2024

AbstractThe smart buildings’ load forecasting is necessary for efficient energy management, and it is easily possible because of the data availability based on widespread use of Internet of Things (IoT) devices and automation systems. The information of buildings’ occupancy is directly associated with energy consumption. Therefore, we present a hybrid model consisting of a Long Short-Term Memory (LSTM) network, Extreme Gradient Boosting (XgBoost), Random Forest (RF) and Linear Regression (LR) for commercial and academic buildings’ load forecasting. The correlation between occupants’ count and total load of the building is calculated using Pearson Correlation Coefficient (PCC). The comparative analysis of the proposed approach with LSTM, XgBoost, RF and Gated Recurrent Unit (GRU) is also performed. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Square Error (MSE) and Normalized Root Mean Square Error (NRMSE) are used as performance indicators for evaluating performance. Findings indicate that the proposed hybrid approach outperforms other models. The RMSE and MAE of 2.99 and 2.18, respectively, are recorded by the proposed model for commercial building dataset while for academic building the RMSE and MAE are 4.48 and 2.85, respectively. Occupancy and load consumption have a positive correlation as evident from PCC analysis. Therefore, we have scheduled the forecasted load based on occupancy patterns for two different cases. Cost is reduced by 17.42% and 33.40% in case 1 and case 2, respectively. Moreover, the performance of the proposed hybrid approach is compared with different techniques presented in literature for buildings load forecasting.
Investigation of ground subsidence response to an unconventional longwall panel layout
Authors: Wang Pengfei , Zhu Zhuang , Guo Linfeng , Wang Huixian , Qu Yue , Zhang Yaoxiong , Wang Linwei , Wang Hua 
Published: August 2024

AbstractGround subsidence caused by extraction of longwall panels has always been a great concern all over the world. Conventional longwall mining system (CLMS) gives rise to wavy subsidence causing great damage to surface structures. A coal mine in Shanxi, China, utilizes a split-level longwall layout (SLL) for a sub-horizontal No. 8 coal seam to improve the cavability of mudstone interlayer and top coal. This layout, however, also produced unexpectedly favorable surface subsidence. Subsidence of No. 6 and No. 8 longwall panels was monitored while mining was conducted. Field instrumentation and numerical simulation were carried out. It is demonstrated that an asymmetric subsidence profile with stepped subsidence and cracks occurred on the tailgate side but relatively mild and smooth deformation on the other. Due to elimination of conventional parallelepiped gate pillar, No. 6 and No. 8 gobs were connected. Extraction of two SLL panels acted as one supercritical panel. The maximum possible subsidence was reached which lowers the likelihood of potential future secondary subsidence as underground gob fractures and voids have closed. Therefore, SLL is more favorable for post-mining land reuse as gobs are more consolidated underground.
Co-hydrothermal carbonization of waste biomass and phosphate rock: promoted carbon sequestration and enhanced phosphorus bioavailability
Authors: daer Dili , Luo Lei , Shang Yewen , Wang Jiaxiao , Wu Chengzhen , Liu Zhengang 
Published: August 2024

AbstractCo-hydrothermal carbonization (co-HTC) of phosphorus rock (PR) and corn straw (CS) was investigated to prepare hydrochar-based materials as soil conditioners, focusing on the morphological transformation and solid–liquid migration of carbon and phosphorus. Various analytical methods, including elemental analysis, chemical quantification, FT-IR, XRD, 3D-EEM, TG, and XANES, were used to understand the synergistic interactions of PR and CS during co-HTC and determine the properties of the resultant products. The results indicated the acidic solution and humic acid-like substances produced by HTC of CS reduced the crystallinity of the PR and served as the activating agent for PR, allowing the PR to be easily dissolved and reconstituted, producing calcium carbonate and apatite-like materials, and the formation of C–O–PO3, C–PO3, C=O, and O=C–O chemical bonds. At 220 °C, adding 5% PR significantly promoted a 10.3% rise in the yield of CS hydrochar, a 4.3% rise in carbon recovery of CS, and a 4.8% rise in carbon sequestration potential of CS. The formation of Ca–P was notably promoted and the content of AP in co-HTC hydrochar was up to 89.9%, with 39% Hydro-P and 33% CaHPO4. In the case of artificial humic acid (HAa), its content was also remarkably increased by 5.9% in the hydrochar by co-HTC. In addition, the hydrochar produced by co-HTC of CS and PR was composed of carbon with an increased aromatic degree, rich organic matter, and biologically effective mineral nutrient elements and exhibited high stability. The present study provided a promising approach for value-added utilization of waste biomass and low-grade PR towards soil application.
Graphical Abstract