bluuebunny/crossref_metadata_2025_split huggingface dataset:
An efficient machine learning approach for predicting concrete chloride resistance using a comprehensive dataset
Authors: Hosseinzadeh Maedeh , Mousavi Seyed Sina , Hosseinzadeh Alireza , Dehestani Mehdi 
Published: September 2023

AbstractBy conducting an analysis of chloride migration in concrete, it is possible to enhance the durability of concrete structures and mitigate the risk of corrosion. In addition, the utilization of machine learning techniques that can effectively forecast the chloride migration coefficient of concrete shows potential as a financially viable and less complex substitute for labour-intensive experimental evaluations. The existing models for predicting chloride resistance encounter two primary challenges: the constraints imposed by a limited dataset and the absence of certain input variables. These factors collectively contribute to a decrease in the overall effectiveness of these models. Therefore, this study aims to propose an advanced approach for dataset cleaning, utilizing a comprehensive experimental dataset comprising 1073 pre-existing experimental outcomes. The proposed model for predicting the chloride diffusion coefficient incorporates various input variables, such as water content, cement content, slag content, fly ash content, silica fume content, fine aggregate content, coarse aggregate content, superplasticizer content, fresh density, compressive strength, age of compressive strength test, and age of migration test. The utilization of the artificial neural network (ANN) technique is also employed for the processing of missing data. The current supervised learning incorporates both regression and classification tasks. The efficacy of the proposed models for accurately predicting the chloride diffusion coefficient has been effectively validated. The findings indicate that the XGBoost and SVM algorithms exhibit superior performance compared to other regression prediction algorithms, as evidenced by their high R2 scores of 0.94 and 0.91, respectively. In relation to classification algorithms, the findings demonstrate that the Random Forest, LightGBM, and XGBoost models exhibit the highest levels of accuracy, specifically 0.93, 0.96, and 0.97, respectively. Furthermore, a website has been developed that is capable of predicting the chloride migration coefficient and chloride penetration resistance of concrete.
An improved VSG control strategy based on transient electromagnetic power compensation
Authors: Gao Changwei , Wang Wei , Huang Chongyang , Zheng Weiqiang 
Published: September 2023

AbstractVirtual synchronous generator (VSG) not only increases the inertia of grid-connected system, but also brings the problem of active power oscillation under grid disturbance. Therefore, VSG control strategy and system model order reduction method with transient electromagnetic power compensation are proposed. The closed-loop active power small signal model of the system is established, and the influence of transient electromagnetic power compensation on the power stability of VSG is analyzed based on root locus method. By removing the items which have little influence on the stability of the system in the small signal model, the order is reduced to obtain the equivalent second-order model of the system. According to the second-order model, the quantitative design criteria of the system parameters are given. The proposed transient electromagnetic power compensation strategy not only increases the transient equivalent damping of the system, but also does not affect the primary frequency modulation characteristics and will not cause large overshoot of the output active power. The experimental results are consistent with the theoretical analysis, which testify the effectiveness and correctness of the system control strategy and the model reduction method.
Unraveling the phase diagram-ion transport relationship in aqueous electrolyte solutions and correlating conductivity with concentration and temperature by semi-empirical modeling
Authors: Al-Salih Hilal , Baranova Elena A. , Abu-Lebdeh Yaser 
Published: September 2023

AbstractThe relationship between structure and ion transport in liquid electrolyte solutions is not well understood over the whole concentration and temperature ranges. In this work, we have studied the ionic conductivity (κ) as a function of molar fraction (x) and Temperature (T) for aqueous solutions of salts with nitrate anion and different cations (proton, lithium, calcium, and ammonium) along with their liquid-solid phase diagrams. The connection between the known features in the phase diagrams and the ionic conductivity isotherms is established with an insight on the conductivity mechanism. Also, known isothermal (κ vs.. x) and iso-compositional (κ vs.. T) equations along with a proposed two variables semi-empirical model (κ = f (x, T)) were fitted to the collected data to validate their accuracy. The role of activation energy and free volume in controlling ionic conductivity is discussed. This work brings us closer to the development of a phenomenological model to describe the structure and transport in liquid electrolyte solutions.
A novel approach of decentralized H∞$H_{\infty }$ fuzzy filtering for nonlinear large‐scale systems with uncertain interconnections
Authors: Koo Geun Bum 
Published: September 2023

AbstractThis paper proposes, a novel decentralized fuzzy filter design for nonlinear large‐scale systems with uncertain interconnections. Based on Takagi–Sugeno (T–S) fuzzy model, the error system is represented by filter error and filter state variables, and the filtering problem is defined. By using the Lyapunov functional, the stability condition of the error system with performance is obtained to solve the filtering problem, and its sufficient condition is converted into the linear matrix inequality (LMI) formats. Furthermore, the decentralized fuzzy filter design technique is also presented for the non‐measurable premise variable case. Finally, an example is provided to verify the effectiveness of the proposed decentralized fuzzy filtering techniques.
A robust fusion bus frequency estimation method to improve frequency oscillation damping in power systems
Authors: Farahani Ali , Abolmasoumi Amir H. , Mili Lamine , Bayat Mohammad 
Published: September 2023

AbstractThis paper proposes a new robust method for accurately and reliably estimating remote bus frequencies in a power system. Two different measurement sources for the remote bus frequency are considered, that is, the ideal Frequency Divider (FD) and the Synchronous Reference Frame Phase Locked Loops (SRF‐PLLs). Each measurement signal encounters different uncertainties and data quality issues. In this paper, both data sources are employed and fused together to better estimate the remote bus frequencies. To this end, the model structure of the power system is selected and an Unscented Kalman Filter (UKF) is utilized together with a fusion covariance intersection method to enhance the accuracy of the estimated bus frequency. Since the fusion estimation method fails in case of quality issues on both channels, a robust Generalized Maximum‐likelihood UKF (GM‐UKF) using a novel outlier detection criteria is developed. The impact of the resulting robust fusion filter on the estimation of the remote bus frequencies and on the performance of WAPSS, which makes use of the estimated frequencies as the feedback signal, is examined via simulations. The results demonstrate the excellent performance and reliability of the proposed method in dealing with noise filtering and outlier suppression while ensuring a high statistical efficiency.
Cuboid‐Net: A multi‐branch convolutional neural network for joint space‐time video super resolution
Authors: Fu Congrui , Yuan Hui , Xu Hongji , Zhang Hao , Shen Liquan 
Published: September 2023

AbstractThe demand for high‐resolution videos has been consistently rising across various domains, propelled by continuous advancements in societal. Nonetheless, limitations in imaging and economic factors often result in obtaining low‐resolution images. The currently available space‐time video super‐resolution methods often fail to fully exploit the information existing within the spatio‐temporal domain. To address this problem, the issue is tackled by conceptualizing the input low‐resolution video as a cuboid structure. An innovative methodology called “Cuboid‐Net”, which incorporates a multi‐branch convolutional neural network, is introduced. Cuboid‐Net is designed to collectively enhance the spatial and temporal resolutions of videos, enabling the extraction of rich and meaningful information across both spatial and temporal dimensions. Specifically, the input video is taken as a cuboid to generate different directional slices as input for different branches of the network. The proposed network contains four modules, that is, a multi‐branch‐based hybrid feature extraction module, a multi‐branch‐based reconstruction module, a first‐stage quality enhancement module, and a second‐stage cross frame quality enhancement module for interpolated frames only. Experimental results demonstrate that the proposed method is not only effective for spatial and temporal super‐resolution of video but also for spatial and angular super‐resolution of light field.
Demonstration of a contactless waste collection system: A Japanese case study
Authors: Ogawa Akihisa , Pandyaswargo Andante Hadi , Tsubouchi Ryota , Onoda Hiroshi 
Published: September 2023

AbstractThe COVID‐19 pandemic has increased the need for social distancing and improved sanitation to prevent the spread of infectious diseases. In the waste management sector, protecting the safety and health of waste collection labourer has become a priority. In Japan, the labour shortage problem and ageing demography have intensified the need for contactless waste collection technology. This study responds to this need by reviewing the global practice of smart waste collection technologies and observing the situation of the Japanese waste collection system through participant observation. Based on the identified trends and status, the authors developed a contactless waste collection system and tested it on an actual working site. The demonstration showed that the system could safely lift a 700 L waste container containing 212 kg of waste to the collection truck without human contact. Labourers can be reduced from 2 to 1 person to operate the collection truck. This study also discovered the smart bin's potential to motivate the reduction of packaging waste consumption.
Behandlung des frühen Mammakarzinoms – 18. Internationaler St.-Gallen-Konsens vor dem Hintergrund der aktuellen deutschen Therapieempfehlungen diskutiert
Authors: Untch Michael , Banys-Paluchowski Maggie , Brucker Sara Y. , Budach Wilfried , Denkert Carsten , Ditsch Nina , Fasching Peter A. , Haidinger Renate , Heil Jörg , Jackisch Christian , Janni Wolfgang , Kolberg Hans-Christian , Krug David , Loibl Sibylle , Lüftner Diana , van Mackelenbergh Marion , Radosa Julia C. , Reimer Toralf , Welslau Manfred , Würstlein Rachel , Harbeck Nadia , Huober Jens 
Published: September 2023

ZusammenfassungDie diesjährige 18. St.-Gallen-(SG-)Konsensus-Konferenz zur Behandlung des frühen Mammakarzinoms (SGBCC: St. Gallen Breast Cancer Conference) fokussierte auf praxisorientierte Fragestellungen. Die individuelle Krankheitssituation und Nutzen-Risiko-Abwägung wurden sehr detailliert diskutiert. Wie schon in den vergangenen Jahren hat auch dieses Jahr eine deutsche Arbeitsgruppe führender Brustkrebsexpertinnen und -experten die Ergebnisse der internationalen SGBCC 2023 vor dem Hintergrund der deutschen Therapieempfehlungen – speziell der aktualisierten Therapieempfehlungen der Kommission Mamma der Arbeitsgemeinschaft Gynäkologische Onkologie e. V. (AGO) – für den Klinikalltag in Deutschland diskutiert. Die deutschen Therapieempfehlungen der AGO Mamma 2023 basieren auf der aktuellen Evidenz. Der Abgleich mit dem klinischen Vorgehen in Deutschland hat sich bewährt, da sich das SGBCC-Panel aus Expertinnen und Experten unterschiedlicher Länder und Fachdisziplinen zusammensetzt, weshalb länderspezifische Besonderheiten in die SGBCC-Empfehlungen einfließen können.
Künstliche Intelligenz zur Indikationsstellung einer invasiven Mikrokalkabklärung im Mammografie-Screening
Authors: Weigel Stefanie , Brehl Anne-Kathrin , Heindel Walter , Kerschke Laura 
Published: September 2023

Ziel Läsionsbezogene Überprüfung der diagnostischen Wertigkeit eines individuellen Algorithmus künstlicher Intelligenz (KI) in der Dignitätsbewertung von mammografisch detektierten und histologisch abgeklärten Mikroverkalkungen.
Material und Methoden Die retrospektive Studie umfasste 634 Frauen mit abgeschlossener invasiver Abklärungsdiagnostik aufgrund von Mikroverkalkungen einer Mammografie-Screening-Einheit (Juli 2012 – Juni 2018). Das KI-System berechnete für jede Läsion einen Score zwischen 0 und 98. Scores > 0 wurden als KI-positiv betrachtet. Die KI-Performance wurde läsionen-spezifisch auf Basis des positiven prädiktiven Werts der umgesetzten invasiven Abklärungsdiagnostik (PPV3), der Rate falsch negativer und richtig negativer KI-Bewertungen evaluiert.
Ergebnisse Der PPV3 stieg über die Befundstufen an (Befunder: 4a: 21,2 %, 4b: 57,7 %, 5: 100 %, gesamt 30,3 %; KI: 4a: 20,8 %, 4b: 57,8 %, 5: 100 %, gesamt: 30,7 %). Die Rate falsch negativer KI-Bewertungen lag bei 7,2 % (95 %-CI: 4,3 %, 11,4 %), die Rate richtig negativer KI-Bewertungen bei 9,1 % (95 %-CI: 6,6 %, 11,9 %). Diese Raten waren mit 12,5 % bzw. 10,4 % in der Befundstufe 4a am größten. Im Median war der KI-Score für benigne Läsionen am geringsten (61, Interquartilsabstand [IQR]: 45–74) und für invasive Mammakarzinome am höchsten (81, IQR: 64–86). Mediane Scores für das duktale Carcinoma in situ waren: 74 beim geringen (IQR: 63–84), 70 (IQR: 52–79) beim intermediären und 74 (IQR: 66–83) beim hohen Kernmalignitätsgrad.
Schlussfolgerung Bei niedrigster Schwelle führt die Mikrokalk-bezogene KI-Bewertung zu einem zur menschlichen Bewertung vergleichbaren Anstieg des PPV3 über die Befundstufen. Der größte KI-bezogene Verlust an Brustkrebsdetektionen liegt bei geringstgradig suspekten Mikroverkalkungen vor mit einer vergleichbaren Einsparung falsch positiver invasiver Abklärungen. Eine Score-bezogene Stratifizierung maligner Läsionen lässt sich nicht ableiten.
Kernaussagen:
Zitierweise
Update Breast Cancer 2023 Part 3 – Expert Opinions of Early Stage Breast Cancer Therapies
Authors: Kolberg Hans-Christian , Hartkopf Andreas D. , Fehm Tanja N. , Welslau Manfred , Müller Volkmar , Schütz Florian , Fasching Peter A. , Janni Wolfgang , Witzel Isabell , Thomssen Christoph , Beierlein Milena , Belleville Erik , Untch Michael , Thill Marc , Tesch Hans , Ditsch Nina , Lux Michael P. , Aktas Bahriye , Banys-Paluchowski Maggie , Kolberg-Liedtke Cornelia , Wöckel Achim , Harbeck Nadia , Stickeler Elmar , Bartsch Rupert , Schneeweiss Andreas , Ettl Johannes , Krug David , Taran Florin-Andrei , Lüftner Diana , Würstlein Rachel 
Published: September 2023

AbstractThe St. Gallen (SG) International Breast Cancer Conference is held every two years, previously in St. Gallen and now in Vienna. This year (2023) marks the eighteenth edition of this
conference, which focuses on the treatment of patients with early-stage breast carcinoma. A panel discussion will be held at the end of this four-day event, during which a panel of experts
will give their opinions on current controversial issues relating to the treatment of early-stage breast cancer patients. To this end, questions are generally formulated in such a way that
clinically realistic cases are presented – often including poignant hypothetical modifications. This review reports on the outcome of these discussions and summarises the data associated
with individual questions raised.
Statement of the Uterus Commission of the Gynecological Oncology Working Group (AGO) on the Use of Primary Chemoimmunotherapy to Treat Patients with Locally Advanced
or Recurrent Endometrial Cancer
Authors: Tempfer Clemens , Brucker Sara , Juhasz-Boess Ingolf , Mallmann Peter , Steiner Eric , Denschlag Dominik , Hillemanns Peter , Wallwiener Markus , Beckmann Matthias W. ,   for the Uterus Commission of the AGO
Published: September 2023

The publication of two large randomized studies – the ENGOT-EN-6-NSGO/GOG-3031/RUBY trial and the NRG-GY018 trial – which investigated combining chemotherapy with immunotherapy to treat
patients with primary advanced or recurrent endometrial cancer (EC) has transformed the clinical study landscape in terms of first-line therapy for affected patients and has set a new
standard of therapy. In the ENGOT-EN-6-NSGO/GOG-3031/RUBY trial, the addition of dostarlimab to standard chemotherapy with carboplatin and paclitaxel resulted inIn the NRG-GY018 trial, the addition of pembrolizumab to standard chemotherapy with carboplatin and paclitaxel resulted inAs expected, the effect in both trials was much more pronounced in the group of patients with dMMR/MSI-high tumors. According to the assessment of the Uterus Organ Commission of the AGO,
all patients with dMMR/MSI-high tumors should receive chemoimmunotherapy and all patients with pMMR/MSI-low tumors who meet the inclusion criteria of the two trials discussed here may have
chemoimmunotherapy. For dostarlimab this means:For pembrolizumab this means:
Whole Exome Analysis to Select Targeted Therapies for Patients with Metastatic Breast Cancer – A Feasibility Study
Authors: Jaeger Bernadette Anna Sophia , Krawczyk Natalia , Japp Anna Sophia , Honisch Ellen , Köhrer Karl , Scheuring Sibylle , Petzsch Patrick , Neubauer Hans , Volkmer Anne Kathrin , Esposito Irene , Ruckhäberle Eugen , Niederacher Dieter , Fehm Tanja 
Published: September 2023

AbstractThe purpose of this feasibility study was to select targeted therapies according to “ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)”. Data interpretation was further
supported by a browser-based Treatment Decision Support platform (MH Guide, Molecular Health, Heidelberg, Germany).We applied next generation sequencing based whole exome sequencing of tumor tissue and peripheral blood of patients with metastatic breast cancer (n = 44) to detect somatic as well as
germline mutations.In 32 metastatic breast cancer patients, data interpretation was feasible. We identified 25 genomic alterations with ESCAT Level of Evidence I or II in 18/32 metastatic breast cancer
patients, which were available for evaluation: three copy number gains in HER2, two gBRCA1, two gBRCA2, six PIK3CA, one ESR1, three PTEN, one
AKT1 and two HER2 mutations. In addition, five samples displayed Microsatellite instability high-H.Resulting treatment options were discussed in a tumor board and could be recommended in a small but relevant proportion of patients with metastatic breast cancer (7/18). Thus, this study
is a valuable preliminary work for the establishment of a molecular tumor board within the German initiative “Center for Personalized Medicine” which aims to shorten time for analyses and
optimize selection of targeted therapies.
Large Multicentric Synchronous Extra-Abdominal Fibromatosis of the Leg and Foot: A Case Report
Authors: Bakde Ashwini M. , Gunasekaran Vignesh , Anand Aarti , Meshram Nisha 
Published: September 2023

AbstractExtra-abdominal fibromatosis is an uncommon, benign locally aggressive fibrous soft-tissue tumor that usually occurs in the shoulders, chest wall, back, thigh, and head and neck affecting the young adult population. It is commonly located in the subcutaneous tissue and may infiltrate the adjacent skeletal muscles. We hereby report a rare case of a large extra-abdominal fibromatosis of the leg and foot in a 38-year-old woman. The patient presented with a large voluminous lesion clinically and on imaging, which was difficult to diagnose. Magnetic resonance imaging (MRI) was very helpful in diagnosing the lesion. It revealed a large relatively well-defined, lobulated hypointense mass in the posterior compartment of the leg with extension into the lower thigh and foot with local infiltration into the gastrocnemius and soleus muscles. An incisional biopsy was performed, and the mass was diagnosed on pathological examination as a spindle-shaped fibroblast proliferation suggesting extra-abdominal fibromatosis.
Diplomatic complexity and long-tailed distributions: the function of non-strategic bilateral relations
Authors: Nishikawa-Pacher Andreas 
Published: September 2023

AbstractStates enact relations with both important partners and seemingly irrelevant countries. The non-strategic constitutes the larger set; a histogram could visualize them in a long-tailed distribution, with the x-axis denoting the partner countries, and the y-axis showing the interaction density. Investigating the function of this long tail, this paper premises that the international is characterized by complexity, meaning that the number of elements is so large that it is impossible to realize all relations simultaneously. States thus select their diplomatic partners based on power-rationales. The thereby inactive nodes nevertheless pose sources of danger, requiring occasional signals of amity—hence a long tail comes about. A repertoire of cheap and quick but unambiguously sovereign practices (such as Twiplomacy, gifts, or honorary consulates) can be spontaneously activated to fill otherwise neglected inter-state ties. Seemingly trivial gestures thus ensure peace among plural polities under the constraint of systemic complexity.
Morality and polyphony in peer dialogues
Authors: Nasi Nicola 
Published: September 2023

Abstract
This study investigates children’s dialogic negotiation of the moral order of the classroom in a heterogeneous
peer group. Drawing from video-ethnographic research in two primary schools in Italy, the study adopts a CA-informed approach to
analyze 9- to 10-year-old children’s dialogic interactions around the appropriate and inappropriate ways of behaving in the
classroom. As the analysis illustrates, children reproduce institutional moral norms and ideologies to sanction perceived
infringements of the classroom moral order. In response to that, the recipients provide accounts to justify their conduct
or resist the moral accusation of their classmates. In the discussion it is argued that these
morality-building practices are relevant to (a) children’s negotiation of their social organization and local identities in the
peer group and (b) children’s socialization to the moral expectations of the classroom community.
Ethnic humour in cartoons
Authors: Săftoiu Răzvan , Tudor Noémi 
Published: September 2023

Abstract
Cartoons are designed as a response to a social event and aim to create a humorous effect in the audience through
their multimodal discourse. The interpretation requires contextual and cultural information which has to be shared by the
cartoonist and the audience. Our research focuses on the dialogue of humorous cartoons between the West and the East. From a
dialogic perspective, the action, i.e., the cartoons published in the French and Swiss media, generates a reaction in the Romanian
media. We discuss the transfer of national stereotypes at a European level and show that, although the cartoons target a
particular out-group, they ricochet to another group. Thus, new boundaries are set up and humour functions as a divisive social
activity.