bluuebunny/crossref_metadata_2025 huggingface dataset:
Odwołanie zwyczaju z przyczyn natury zewnętrznej w systemie kanonicznym (kan. 28 KPK)
Authors: Dzierżon Ginter
Published: September 2023

In the presented article, the Author made the interpretation of the can. 28 of the Code of Canon Law of 1983, according to the issue of the revocation the custom in the canonical system. He showed that custom in force in the community, could be revoked by means of two general mechanisms, namely by the contrary custom and contrary law. What is more, the legislator predicted the possibility of two exceptions to the general rule, which are: revocation the particular customs by the universal law and privileged customs. According to a doctrine, if the particular customs are revoked, it should be a general repealing provision in the universal law placed. Centenary and immemorial customs in turn can be revoked only by the introduction of the repealing reservation including clear reference to those customs.
Ś.p. Ks. Julian Kałowski MIC (1933-2011)
Authors: Szewczul Bożena
Published: September 2023

Ksiądz prof. dr hab. Julian Kałowski, urodził się 12 maja 1933 r. w Dziechcińcu koło Otwocka w diecezji Warszawsko-Praskiej. Po ukończeniu szkoły podstawowej i dwóch klas w Niższym Seminarium Duchownym Stowarzyszenia Apostolstwa Katolickiego w Wadowicach-Kopcu wstąpił w 1952 r. do Zgromadzenia Księży Marianów. Ukończywszy nowicjat w Skórcu koło Siedlec złożył 15 sierpnia 1953 r. pierwsze śluby zakonne. Przeniesiony do domu zakonnego w Warszawie przy ul. Wileńskiej uczęszczał przez dwa lata do prowadzonego przez Księży Marianów Niższego Seminarium, gdzie w 1955 r. uzyskał maturę prywatną. Następnie w latach 1955-1957 odbył studia filozoficzne w Wyższym Seminarium Duchownym Archidiecezji Warszawskiej. Śluby wieczyste złożył 15 sierpnia 1957 r. w Stoczku Klasztornym. Dnia 24 czerwca 1962 r. po odbyciu studiów z teologii w Wyższym Seminarium Duchownym we Włocławku otrzymał święcenia kapłańskie.
Ś.p. Ks. Antoni Kość (1949-2011)
Authors: Sitarz Mirosław
Published: September 2023

Ks. prof. dr hab. Antoni Kość, kapłan Zgromadzenia Księży Werbistów, członek Stowarzyszenia Kanonistów Polskich urodził się 12 maja 1949 r. w Rokietnicy k. Jarosławia.
Wymierzanie kar w trybie administracyjnym
Authors: Krukowski Józef
Published: September 2023

In the Catholic Church punishment is rare. The Code of Canon Law of 1983 contains the standards of the penal process which apply: 1) the preliminary investigation, 2) the development of the process 3) an action to repair damages. Receiving knowledge, which at least seems true, of a delict by the competent organ, which is the ordinary is a condition for initiating the preliminary investigation. He decides to start the extrajudicial process which is the administrative process and he is required to keep the order specified in the can. 1720 CIC.
Ordynariat personalny dla Anglikanów nowym Kościołem partykularnym
Authors: Lewicka Mariola
Published: September 2023

According to the teaching of the Vatican Council II, due to some reasons, the different hierarchical structures can be created on the same territory. The legislator was guided such a criterion in the creation of the personal ordinariate for Anglicans, which is chronologically the youngest personal particular Church which is a portion of the people of God with their own ordinary, the presbyterium, and the christian faithful. This Church is established under the special law, which includes the christian faithful, who come from the Anglican tradition and who were willing to make the full communion with the Catholic Church.
Ś.p. Ks. Stefan Kośnik (1935-2010)
Authors: Wierzbicki Piotr
Published: September 2023

Stefan Kośnik urodził się 2 kwietnia 1935 r. w Wyszkowie jako drugie dziecko Franciszka i Stefanii z domu Karp. W parafii św. Idziego w Wyszkowie dnia 23 kwietnia 1935 r. otrzymał chrzest św., natomiast dnia 9 sierpnia 1948 r. sakrament bierzmowania. Ukończył 109 liceum Ogólnokształcące w Wyszkowie i zdał egzamin dojrzałości dnia 15 czerwca 1952 r. Po maturze wstąpił do Wyższego Seminarium Duchownego w Warszawie. Ks. Stefan ukończył seminarium w lipcu 1957 r., jednak z powodu młodego wieku nie mógł być wyświęcony ma kapłana. Dlatego ks. Prymas na wniosek władzy seminaryjnej wysłał ks. Stefana na studia stacjonarne na Wydziale Prawa Kanonicznego KUL.
Sprawozdanie z Międzynarodowej Konferencji Prawa Kanonicznego Organizacja i funkcjonowanie administracji w Kościele. Toruń, 7-8 września 2010 roku
Authors: Słowikowska Anna
Published: September 2023

Kościół Katolicki stanowi instytucję Bosko-ludzką. Jest nie tylko wspólnotą duchową, ale także hierarchicznie ukonstytuowaną społecznością. Wyposażony jest we własną administrację odznaczającą się właściwymi sobie zadaniami i środkami działania, ma służyć budowaniu wspólnoty kościelnej i kierować jej rozwojem w duchu służby względem całej ludzkości.
„Kanonen statt Butter“? Öffentliche Haushalte und die neue Aufrüstung
Authors: van Scherpenberg Jens
Published: September 2023

Der Autor argumentiert am Beispiel verschiedener Sektoren der öffentlichen Daseinsvorsorge das entscheidende Finanzproblem des militärischen Aufbaus und Ukraine-Unterstützungsprogramms: die Militärausgaben zu verdoppeln, ohne der Bevölkerung direkt fühlbare Einschnitte ihres Lebensstandards zuzumuten: kurz, die – noch – unpopuläre Alternative Kanonen oder Butter so lange wie möglich zu vermeiden.
Aktueller Antisemitismus: Ein „Jugendproblem“? Empirische Befunde
Authors: Schubert Kai E.
Published: September 2023

Als Träger antisemitischer Haltungen erscheinen in aktuellen Debatten vor allem Jugendliche. Empirische Befunde der Einstellungsforschung stehen dem jedoch entgegen. Pauschale Markierungen als antisemitisch sind daher weder angebracht noch pädagogisch sinnvoll.
Adorno und seine Relevanz für die Politische Bildung
Authors: Bredl Patrick
Published: September 2023

Die Kritische Theorie Adornos prägt die Politische Bildung. Sein Plädoyer für eine Erziehung zur Mündigkeit steht dabei im Zentrum. Politische Bildung sollte sich mit dem Widerspruch zwischen Anpassung und Widerstand auseinandersetzen und diesen selbst als zentralen Aspekt zur Förderung von Mündigkeit begreifen.
Extended arc of rotation of Latissimus Dorsi Musculocutaneous Flap providing well-vascularized tissue for reconstruction of complete defects of the sternum: An anatomical study of flap pedicle modification
Authors: Ernert Carsten , Kielstein Heike , Azatyan Argine , Prantl Lukas , Kehrer Andreas
Published: September 2023

BACKGROUND: Deep sternal wound infections (DSWI) following cardiothoracic surgery represent a life quality endangering sequelae and may lead to sternal osteomyelitis. Radical debridement followed by Negative Pressure Wound Therapy (NPWT) may achieve infection control, provide angiogenesis, and improve respiratory function. When stable wound conditions have been established a sustainable plastic surgical flap reconstruction should be undertaken. OBJECTIVE: This study analyses a method to simplify defect coverage with a single Latissimus Dorsi Myocutaneous Flap (LDMF). METHODS: Preparation of 20 LDMF in ten fresh frozen cadavers was conducted. Surgical steps to increase pedicle length were evaluated. The common surgical preparation of LDMF was compared with additional transection of the Circumflex Scapular Artery (CSA). RESULTS: Alteration of the surgical preparation of LDMF by sacrificing the CSA may provide highly valuable well-vascularized muscle tissue above the sensitive area of the Xiphisternum. All defects could be completely reconstructed with a single LDMF. The gain in length of flap tissue in the inferior third of the sternum was 3.86±0.9 cm (range 2.2 to 8 cm). CONCLUSIONS: By sacrificing the CSA in harvesting the LDMF a promising gain in length, perfusion and volume may be achieved to cover big sternal defects with a single flap.
MRI Visible Perivascular Spaces and the Risk of Incident Mild Cognitive Impairment in a Community Sample
Authors: Pase Matthew P. , Pinheiro Adlin , Rowsthorn Ella , Demissie Serkalem , Hurmez Saoresho , Aparicio Hugo J. , Rodriguez-Lara Frances , Gonzales Mitzi M. , Beiser Alexa , DeCarli Charles , Seshadri Sudha , Romero Jose Rafael
Published: September 2023

Background:

Magnetic resonance imaging (MRI) visible perivascular spaces (PVS) are associated with the risk of incident dementia but their association with the early stages of cognitive impairment remains equivocal.

Objective:

We examined the association between MRI visible PVS and the risk of incident mild cognitive impairment (MCI) in the community-based Framingham Heart Study (FHS).

Methods:

FHS participants aged at least 50 years free of stroke, cognitive impairment, and dementia at the time of MRI were included. PVS were rated according to severity in the basal ganglia and centrum semiovale (CSO) using established criteria. Cox regression analyses were used to relate PVS to incident MCI adjusted for demographic and cardiovascular variables.

Results:

The mean age of the sample (1,314 participants) at MRI was 68 years (SD, 9; 54% women). There were 263 cases of incident MCI over a median 7.4 years follow-up (max, 19.8 years). MCI risk increased with higher PVS severity in the CSO. Relative to persons with the lowest severity rating, persons with the highest severity rating in the CSO had a higher risk of incident MCI (hazard ratio [HR] = 2.55; 95% confidence interval [CI], 1.48–4.37; p = 0.0007). In secondary analysis, this association seemed stronger in women. Risk of incident MCI was nominally higher for participants with the highest severity grade of PVS in the basal ganglia, though not statistically significant relative to the lowest grade (HR = 2.19; 95% CI, 0.78–6.14; p = 0.14).

Conclusions:

PVS burden in the CSO may be a risk marker for early cognitive impairment.
Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study
Authors: Ding Huitong , Mandapati Amiya , Hamel Alexander P. , Karjadi Cody , Ang Ting F.A. , Xia Weiming , Au Rhoda , Lin Honghuang
Published: September 2023

Background:

Early prediction of dementia risk is crucial for effective interventions. Given the known etiologic heterogeneity, machine learning methods leveraging multimodal data, such as clinical manifestations, neuroimaging biomarkers, and well-documented risk factors, could predict dementia more accurately than single modal data.

Objective:

This study aims to develop machine learning models that capitalize on neuropsychological (NP) tests, magnetic resonance imaging (MRI) measures, and clinical risk factors for 10-year dementia prediction.

Methods:

This study included participants from the Framingham Heart Study, and various data modalities such as NP tests, MRI measures, and demographic variables were collected. CatBoost was used with Optuna hyperparameter optimization to create prediction models for 10-year dementia risk using different combinations of data modalities. The contribution of each modality and feature for the prediction task was also quantified using Shapley values.

Results:

This study included 1,031 participants with normal cognitive status at baseline (age 75±5 years, 55.3% women), of whom 205 were diagnosed with dementia during the 10-year follow-up. The model built on three modalities demonstrated the best dementia prediction performance (AUC 0.90±0.01) compared to single modality models (AUC range: 0.82–0.84). MRI measures contributed most to dementia prediction (mean absolute Shapley value: 3.19), suggesting the necessity of multimodal inputs.

Conclusion:

This study shows that a multimodal machine learning framework had a superior performance for 10-year dementia risk prediction. The model can be used to increase vigilance for cognitive deterioration and select high-risk individuals for early intervention and risk management.
Multidimensional Sleep Health and Long-Term Cognitive Decline in Community-Dwelling Older Men
Authors: Cavaillès Clémence , Yaffe Kristine , Blackwell Terri , Buysse Daniel , Stone Katie , Leng Yue
Published: September 2023

Specific sleep characteristics have been associated with cognitive decline, Alzheimer’s disease, and related dementias; however, studies examining the association between multidimensional sleep (a more comprehensive integration of sleep parameters) and cognitive decline are lacking. Among 2,811 older men without dementia, those with none, 1-2, and 3–5 “poor” self-reported sleep health dimensions had an adjusted 10-year change score of global cognition (3MS) of 2.9, 4.0 and 3.5 points (p-trend = 0.05), and in executive function (Trails B) completion time of 36.7, 42.7, and 46.7 seconds (p-trend < 0.01), respectively. In conclusion, a multidimensional measure of sleep health was associated with greater cognitive decline.
Cerebrospinal Fluid Alzheimer’s Disease Biomarker Patterns of Change Prior to the Onset of Mild Cognitive Impairment
Authors: Sun Yifei , Moghekar Abhay , Soldan Anja , Pettigrew Corinne , Greenberg Barry , Albert Marilyn , Wang Mei-Cheng ,   and the BIOCARD Research Team
Published: September 2023

Background:

Cerebrospinal fluid (CSF) biomarkers of Alzheimer’s disease (AD) are altered many years before the onset of clinical symptoms of mild cognitive impairment (MCI). Incorporating clinical symptom onset time into biomarker modeling may enhance our understanding of changes preceding MCI.

Objective:

Using a new analytical approach, we examined patterns of biomarker change prior to MCI symptom onset among individuals who progressed from normal cognition to MCI, stratified based on the age of symptom onset. We also analyzed biomarker patterns of change among participants who remained cognitively normal, and examined potential modifiers of biomarker trajectories, including demographics and apolipoprotein E ( APOE) status.

Methods:

Analyses included 93 participants who progressed from normal cognition to MCI and 186 participants who remained cognitively normal, over an average follow-up period of 16.2 years. CSF biomarkers, including Aβ42, Aβ40, total tau (t-tau), and phosphorylated tau181 (p-tau181), were measured using the fully automated Lumipulse assays.

Results:

Among participants who progressed to MCI, Aβ42/Aβ40 decreased, and t-tau and p-tau181 increased. For participants who did not progress to MCI, CSF biomarkers showed relatively stable patterns. In both progressors and non-progressors, APOE4 carriers showed lower Aβ 42/Aβ40 levels (compared to non-carriers) at each point of the mean curves. Among non-progressors, APOE4 carriers had higher levels of p-tau181, p-tau181/(Aβ 42/Aβ40), and t-tau/(Aβ 42/Aβ 40). Additionally, among those who did not progress, female sex was associated with higher levels of t-tau, p-tau181, t-tau/(Aβ 42/Aβ 40), and p-tau181/(Aβ 42/Aβ 40).

Conclusions:

These findings suggest that this analytic approach may provide additional insights into biomarker changes during early phases of AD.
Demand-side adjustable resources unified data model study
Authors: Wu Juntao , Hu Junjie , Chen Songsong , Xu Wentao , Tang Bihong , Wen Xuan
Published: September 2023

With the large-scale grid integration of new energy sources, the power relationship between source and demand side is becoming more and more complex, the flexibility requirements of the distribution network are increasing, and new requirements for system safety and reliability are put forward, and it can’t meet the peak regulating requirements of grid by relying solely on source side to cope with variable loads. In view of this, to make the grid operation flexibility improved by using an adjustable load capacity, the study first constructs a load classifying method on the foundation of fuzzy style K-plane clustering method to understand the interaction information of the load devices. Then the adjustable value of the load is analyzed from the demand response and standby perspectives, respectively, and an improved dynamic time-bending-based source-load similarity inscription method is proposed, which aims to unify the multiple load information obtained by clustering. The proposed clustering algorithm takes the highest value of 0.096 for the Davies-Bouldin index index, which is 0.012 and 0.014 higher than the K-plane clustering algorithm and the K-means algorithm, respectively. In addition, the load demand response regulation with the improved dynamic time bending method has a higher capacity for new energy consumption than the variance method, with a difference of 2.0 kW. This indicates that using load regulation to consume new energy to exploit the load curve will stimulate the active participation of customer-side load in maintaining power balance between the electricity consumption side and the demand side, and form an interest community between power supplying and demanding sides.
Research on employment willingness of tourism management graduates based on AHP-DEMATEL model
Authors: Peng Rongsheng , Li Mingwei , Yang Haiyan , Tao Jiajie , Fu Yajing
Published: September 2023

High-quality tourism graduates who meet the needs of modern tourism development are a central resource in tourism development, critical to enhancing core competitiveness in tourism. However, the employment rate of tourism master’s graduates is low, restricting the rapid development of the tourism industry. This study aims to explain the influencing factors of the employment willingness of tourism management master’s graduates in China. A questionnaire was designed to investigate three influencing factors: personal work preferences and perception, tourism industry development characteristics, and school teaching and training. AHP-DEMATEL method was used to identify the influencing factors in tourism graduates’ employment willingness. The results show that employment willingness is not affected by gender but that it is affected by age, and that students choose stable careers due to insufficient confidence in the tourism development situation. The nature of the work, the social status, and the salary are not the main influencing factors. There are inconclusive findings on future development prospects, personal work preferences, recognition of the value of the work, and opportunities to acquire new knowledge and skills. Additionally, professional practice and employment information issued by the schools affect the employment willingness of tourism master’s graduates.
Flow-limited authorization for consensus, replication, and secret sharing1
Authors: Mondal Priyanka , Algehed Maximilian , Arden Owen
Published: September 2023

Availability is crucial to the security of distributed systems, but guaranteeing availability is hard, especially when participants in the system may act maliciously. Quorum replication protocols provide both integrity and availability: data and computation is replicated at multiple independent hosts, and a quorum of these hosts must agree on the output of all operations applied to the data. Unfortunately, these protocols have high overhead and can be difficult to calibrate for a specific application’s needs. Ideally, developers could use high-level abstractions for consensus and replication to write fault-tolerant code that is secure by construction. This paper presents Flow-Limited Authorization for Quorum Replication (FLAQR), a core calculus for building distributed applications with heterogeneous quorum replication protocols while enforcing end-to-end information security. Our type system ensures that well-typed FLAQR programs cannot fail (experience an unrecoverable error) in ways that violate their type-level specifications. We present noninterference theorems that characterize FLAQR’s confidentiality, integrity, and availability in the presence of consensus, replication, and failures, as well as a liveness theorem for the class of majority quorum protocols under a bounded number of faults. Additionally, we present an extension to FLAQR that supports secret sharing as a form of declassification and prove it preserves integrity and availability security properties.
Concept and dependencies enhanced graph convolutional networks for short text classification
Authors: Zhang Hu , Bai Ping , Li Ru
Published: September 2023

Short text classification task is a special kind of text classification task in that the text to be classified is generally short, typically generating a sparse text representation that lacks rich semantic information. Given this shortcoming, scholars worldwide have explored improved short text classification methods based on deep learning. However, existing methods cannot effectively use concept knowledge and long-distance word dependencies. Therefore, based on graph neural networks from the perspective of text composition, we propose concept and dependencies enhanced graph convolutional networks for short text classification. First, the co-occurrence relationship between words is obtained by sliding window, the inclusion relationship between documents and words is obtained by TF-IDF, long-distance word dependencies is obtained by Stanford CoreNLP, and the association relationship between concepts in the concept graph with entities in the text is obtained through Microsoft Concept Graph. Then, a text graph is constructed for an entire text corpus based on the four relationships. Finally, the text graph is input into graph convolutional neural networks, and the category of each document node is predicted after two layers of convolution. Experimental results demonstrate that our proposed method overall best on multiple classical English text classification datasets.
Lacunary statistical convergence on L - fuzzy normed space
Authors: Yapali Reha , Korkmaz Erdal , Çinar Muhammed , Çoskun Hüsamettin
Published: September 2023

The idea of lacunary statistical convergence sequences, which is a development of statistical convergence, is examined and expanded in this study on L - fuzzy normed spaces, which is a generalization of fuzzy spaces. On L - fuzzy normed spaces, the definitions of lacunary statistical Cauchy and completeness, as well as associated theorems, are provided. The link between lacunary statistical Cauchyness and lacunary statistical boundedness with regard to L - fuzzy norm is also shown.
Impact of class imbalance ratio on ensemble methods for imbalance problem: A new perspective
Authors: Kumari Ritika , Singh Jaspreeti , Gosain Anjana
Published: September 2023

Class imbalance problem (CIP) exists when the class distribution is not uniform. Many real-world scenarios face CIP which attracted the researcher’s attention to this problem. Training machine learning (ML) models with class imbalanced datasets is a challenging problem. Ensemble methods in ML involve training multiple classifiers, combining or averaging their predictions to come to a final prediction. Specifically designed ensemble-based methods can overcome the difficulty faced by traditional classifiers and can handle the CIP. The performance of 19 ensemble methods for 44 unbalanced datasets is assessed in this paper in order to observe the effects of the class imbalance ratio (CIR). For performance evaluation, we divide these datasets into three categories, i.e., Slightly Imbalance (SI), Moderately Imbalance (MI) and Highly Imbalance (HI) based on CIR. With the proposed perspective, we observe that different ensemble methods perform well in different categories suggesting that the percentage of minority or majority class could be a criterion for the selection of ensemble methods for class imbalance datasets. Moreover, visual representations and different non-parametric statistical tests are also used to have more reliable results.
Design of knowledge incorporated VQA based on spatial GCNN with structured sentence embedding and linking algorithm
Authors: Koshti Dipali , Gupta Ashutosh , Kalla Mukesh
Published: September 2023

Visual question Answering (VQA) is a computer vision task that requires a system to infer an answer to a text-based question about an image. Prior approaches did not take into account an image’s positional information or the questions’ grammatical and semantic relationships during image and question processing. Featurization, which leads to the false answering of the question. Hence to overcome this issue CNN –Graph based LSTM with optimized BP Featurization technique is introduced for feature extraction of image as well as question. The position of the subjects in the image has been determined using CNN with a dropout layer and the optimized momentum backpropagation during the extraction of image features without losing any image data. Then, using a graph-based LSTM with loopy backpropagation, the questions’ syntactic and semantic dependencies are retrieved. However, due to their lack of external knowledge about the input image, the existing approaches are unable to respond to common sense knowledge-based questions (open domain). As a result, the proposed Spatial GCNN knowledge retrieval with PDB Model and Spatial Graph Convolutional Neural Network, which recovers external data from Wikidata, have been used to address the open domain problems. Then the Probabilistic Discriminative Bayesian model, based Attention mechanism predicts the answer by referring to all concepts in question. Thus, the proposed method answers the open domain question with high accuracy of 88.30%.
Similarity measures of double-valued neutrosophic sets based on cotangent function and applications to football players’ competitive ability evaluation
Authors: Dong Yanfeng , Wang Meng
Published: September 2023

At present, China’s football sports are relatively backward in training theory and practice. If you want to break out of Asia and enter the world, and gain a firm foothold in the international football arena, you must use a scientific and realistic attitude, absorb the successful experience of advanced football countries, reflect on our training concepts and practices, and deeply study the training laws of football, in order to find a way suitable for our development. Athletes’ competitive ability is the core issue of sports training. The failure of our football level is directly related to our systematic understanding of athletes’ competitive ability. This problem has led to the separation of our training practice from the actual competition, making training unable to meet the needs of the competition. Only by solving this problem, can we improve the level of football in China. The football players’ competitive ability evaluation is affirmed as multiple attribute decision making (MADM). In such paper, motivated by the idea of cotangent similarity measure (CSM), the CSMs are extended to DVNSs and four CSMs are created under DVNSs. Then, two weighted CSMs are built for MADM under DVNSs. Finally, a numerical example for Football players’ competitive ability evaluation is affirmed and some comparative algorithms are produced to affirm the built method.
Performance appraisement of supplier selection in construction company with Fuzzy AHP, Fuzzy TOPSIS, and DEA: A case study based approach
Authors: Deepika S. , Anandakumar S. , Bhuvanesh Kumar M. , Baskar C.
Published: September 2023

In the present marketing environment, choosing the right suppliers is very difficult for any construction company. Current supplier selection models in the construction industry often suffer from limitations such as incomplete criteria coverage, inadequate handling of uncertainties, and oversimplification of decision-making, leading to sub-optimal supplier choices and project risks. This paper aims in selecting the best suppliers among the different M-Sand environment suppliers. In this study 13 qualitative criterions are selected by the expert team. For handling the attributes, uncertainties, vagueness associated with supplier selection problems the Fuzzy Delphi, Fuzzy Analytical hierarchal Process (AHP) and Fuzzy Technique for order preference by similarity to ideal solution (TOPSIS) methods were chosen. In the first phase of this study, Fuzzy Delphi Method is employed to select the 5 significant criterions. These criterions can be used to help the construction company in the direction to choose the right suppliers at the end. During the second phase, one of the significant Multi-criteria Decision Making Method called AHP is employed with extended support of fuzzy logic to evaluate the weightage of each criterion. Further ranking of various alternative suppliers are done by Fuzzy TOPSIS model. The ranking results indicate that A2 is the best supplier followed by A1 and A2. The third phase of this study deals with analyzing both the qualitative and quantitative criteria, hence Data Envelopment Analysis (DEA) is adopted to correlate the criteria. This is done to select efficient suppliers. The develop model is demonstrated in the construction industry.
A Cuckoo search-based optimized ensemble model (CSOEM) for the analysis of human gait
Authors: Thakur Divya , Lalwani Praveen
Published: September 2023

The use of mobile devices has contributed greatly to the expansion of Human Activity Recognition (HAR) studies in recent years. Researchers find it attractive because of its versatility, low cost, compact size, ease of usage, and wide range of possible applications. Conventional, biological, and control-based systems are just some of the methods that have been created for humanoid robot movement in recent years. This article specifically targeted improvement in the proposed method, which is different from previous papers. This is being done with the use of the publicly available Human Activity Gait (HAG) data set, which documents a wide range of different types of activities. IMU sensors were used to collect this data set. Several experiments were conducted using different machine-learning strategies, each with its own set of hyper-parameters, to determine how best to utilize these data. In our proposed model Cuckoo Search Optimization is being used for optimum feature selection. On this data set, we have tested a number of machine learning models, including LR, KNN, DT, and proposed CSOEM (Cuckoo Search-Based Optimized Ensemble Model). The simulation suggests that the proposed model CSOEM achieves an impressive accuracy of 98%. This CSOEM is built by combining the feature selection strategy of Cuckoo Search Optimizations with the ensembling of the LR, KNN, and DT.
Addressing challenges in multi-label text classification: A joint attention and shared semantic space approach
Authors: Gui Zhen
Published: September 2023

The task of multi-label text classification involves assigning a set of related labels to a given document. However, there are three main problems with this task. Firstly, the joint modeling of label-text and label-label relationships is inadequate. Secondly, the semantic mining of the label itself is insufficient. Lastly, the utilization of the internal structure information of the label is ignored. To address these issues, a new multi-label text classification method has been proposed. This method is based on joint attention and shared semantic space. The joint multi-head attention mechanism models the relationship between labels and documents as well as the relationship between labels simultaneously. This helps to avoid error transmission and utilizes the interaction information between them. The decouple shared semantic space embedding method improves the method of using labels semantic information and reduces deviation in the phase of modeling correlation. The hierarchical hinting method based on prior knowledge relies on the prior knowledge in the pre-trained model to exploit the labels hierarchy information. Experimental results have shown that this proposed method is superior to existing multi-label text classification methods in public datasets.
An ExpTODIM-GRA based multiple attribute group decision-making method for development level evaluation of digital inclusive finance under intuitionistic fuzzy circumstances
Authors: Deng Yu , Zhang Wenxia
Published: September 2023

In recent years, due to the rapid development of internet technology, the integration process of digital technology and financial services has accelerated. Digital Financial inclusion has emerged as the times require, becoming an important force to promote private enterprises to get out of financing difficulties. The development level evaluation of digital inclusive finance is a classical multiple attribute group decision making (MAGDM) problems. Recently, Recently, the Exponential TODIM(ExpTODIM) and (grey relational analysis) GRA method has been used to cope with MAGDM issues. The intuitionistic fuzzy sets (IFSs) are used as a tool for characterizing uncertain information during the development level evaluation of digital inclusive finance. In this paper, the intuitionistic fuzzy Exponential TODIM-GRA (IF-ExpTODIM-GRA) method is built to solve the MAGDM under IFSs. In the end, a numerical case study for development level evaluation of digital inclusive finance is supplied to validate the proposed method. The main contributions of this paper are outlined: (1) the ExpTODIM and GRA method has been extended to IFSs; (2) Information Entropy is used to derive weight under IFSs. (3) the IF-ExpTODIM-GRA method is founded to solve the MAGDM under IFSs; (4) a numerical case study for development level evaluation of digital inclusive finance and some comparative analysis are supplied to validate the proposed method.
Cerebral Small Vessel Disease Is Associated with Motor, Cognitive, and Emotional Dysfunction in Multiple System Atrophy
Authors: Yang Xiao-Li , Guo Yu , Chen Shu-Fen , Cui Mei , Shao Rong-Rong , Huang Yu-Yuan , Luo Yu-Fan , Dong Zhi-Yuan , Dong Qiang , Wu Dan-Hong , Yu Jin-Tai
Published: September 2023

Background:

Cerebral small vessel disease (CSVD) has not been systematically studied in patients with multiple system atrophy (MSA).

Objective:

We sought to explore whether MSA patients suffer from a heavier CSVD burden relative to healthy individuals and whether CSVD has a relationship with motor, cognitive, and emotional dysfunction in patients with MSA.

Methods:

This study consecutively recruited 190 MSA patients and 190 matched healthy controls whose overall CSVD burden and single CSVD imaging markers (including white matter hyperintensity (WMH), microbleeds, lacunes, and enlarged perivascular spaces (EPVS)) were measured. Of the MSA patients, 118 completed multi-dimensional outcome assessments. Spearman’s correlations and multivariable linear regressions were performed.

Results:

We observed a greater burden of overall CSVD, WMH, and EPVS in MSA patients compared with controls, but not for microbleeds and lacunes. Motor dysfunction and cognitive impairment were significantly worse in subjects with severe CSVD than those with none-to-mild CSVD. In patients with MSA, the severity of CSVD burden was positively associated with motor impairments as measured by the Unified Multiple System Atrophy Rating Scale-II (β= 2.430, p = 0.039) and Scale for the Assessment and Rating of Ataxia (β= 1.882, p = 0.015). Of CSVD imaging markers, different associations with MSA outcomes were displayed. WMH was associated with motor, cognitive, and emotional deficits, while the EPVS in the centrum semiovale, basal ganglia, and hippocampus regions was correlated only with motor severity, anxiety, and cognition, respectively. Similar findings were noted in MSA-cerebellar and MSA-parkinsonian patients.

Conclusions:

Concomitant CSVD may be correlated with worse multi-dimensional dysfunction in patients with MSA.
Evaluating the relationship of in utero nicotine exposure with hypoglycemia after delivery: An observational study
Authors: Johnson Mary G. , Suchting Robert , Scheid Lisa M. , Holzapfel Lindsay N. , Chalise Aditi , Stotts Angela L. , Chapman John C. , Khan Amir M. , Northrup Thomas F.
Published: September 2023

BACKGROUND: Hypoglycemia in neonates is common and contributes to 4.0–5.8% of neonatal intensive care unit (NICU) admissions. In utero nicotine exposure is underexplored as a potential contributor to neonatal hypoglycemia. Rat models have shown that in utero nicotine exposure can be associated with a reduction in pancreatic beta cell mass, leading to glucose dysregulation. The primary aim of this work is to study the risk of developing hypoglycemia after birth in a population of in utero nicotine-exposed neonates. METHODS: We conducted a retrospective matched cohort study that augmented an existing dataset of neonates admitted to a level IV NICU with household-based in utero nicotine exposure (N = 335). Neonates in the control group parents denied household smoking (N = 325), were born within a 6-month timeframe, and were within a birthweight of 50 grams of a nicotine-exposed neonate. Data reviewed included gestational age, growth parameters, maternal history of diabetes, and glucose levels within the first three hours of life per unit protocol. RESULTS: 660 neonates were included in the analysis. In utero nicotine exposure demonstrated a 94.3% posterior probability (PP) for greater hypoglycemia risk (RR = 1.185, 95% CrI = [0.953, 1.445]). A 94.6% PP was demonstrated when neonates who were small for gestational age, intrauterine growth-restricted, and born to diabetic mothers were excluded (n = 482; RR = 1.271, 95% CrI = [0.946, 1.669]). CONCLUSION: Nicotine exposure in utero was found to be a potential risk factor for developing hypoglycemia after birth. Mechanisms of action should be explored, and additional research on in utero nicotine exposure risks should follow.
The SAFE study: Stress and fatigue control by exercise: Acute and long-term effects of aerobic exercise in lactating employed mothers
Authors: Shehata Mai Ali , Basyouny Sara El-Sayed , Atef Hady , Hussien Hossam El-Dien , Botla Afaf M.
Published: September 2023

BACKGROUND: Stress and fatigue experienced by lactating employed mothers can affect mothers’ and babies’ mental and physical health detrimentally. Aerobic exercise is known to control stress and fatigue, but the dosages of the exercises needed to maintain long-term effects are still under investigation. OBJECTIVE: This study aimed to investigate the acute and long-term effects of aerobic exercise on controlling stress and fatigue in lactating, employed mothers. METHODS: This randomized control study involved sixty lactating, employed mothers suffering from stress and fatigue. They were divided into two groups: Group A received five sessions of 30-minute aerobic training on a treadmill per week, in addition to lifestyle modification advice for six weeks. Group B received the same lifestyle routine advice for the same duration without being trained. Assessments of stress and fatigue levels were done before, after 6 weeks, and after 6 months from the baseline assessments using the Perceived Stress Scale (PSS-10) and Fatigue Assessment Scale (FAS), respectively. RESULTS: Post-six-week comparisons within and between both groups showed a significant decline in PSS-10 and FAS in group A compared with group B (p < 0.001); however, after six months of follow-up, there were statistically significant effects within groups only (p < 0.05) and no statistically significant difference between groups at both variables (p > 0.05). CONCLUSION: Aerobic exercises for 6 weeks can induce an acute but not long-term effect on stress and fatigue control in lactating-employed mothers. Future research is needed to tailor the exercise prescription needed to maintain training’s long-term benefits.
Activation of man-made processes in the event of a sharp change in the level of reservoirs and groundwater due to man-made disasters of hydraulic structures
Authors: Rashchenko Andrii , Dyptan Tetiana , Malaman Artur
Published: September 2023

There are more than 1,100 reservoirs on the territory of Ukraine, which hold about 55.13 km3 of water for the production of electricity, providing water to the population of Ukraine, shipping and fisheries: 43.71 km3 of the Dnipro cascade of reservoirs (including 18.2 km3 of the Kakhov reservoir); 3 km3 Dniester; 8.42 km3 - others. However, in parallel with hydraulic construction and operation of reservoirs, there are problems of preserving ecological balance in nature, as well as complex use of newly formed water bodies and territories bordering them and falling under their influence. The Kakhov reservoir is the second largest in Ukraine. As a result of Russia's military aggression on the territory of Kherson Oblast, a hydrotechnical facility - Kakhovska HPP - was blown up. The result of such criminal actions is the destruction of the dam, the volume and speed of movement of water from the upper beif to the lower depends on the dimensions of the destruction and the parameters of the breakthrough wave - the main factor of damage in a hydrodynamic accident. The destructive action of the breakthrough wave led to a rapid reaction of the geological environment: changes in the hydrogeological regime of the surrounding territory; changes in the stress-strain state, which developed under the conditions of the stabilized state of the existing building; activation of engineering and geological processes - landslides, flooding, manifestation of subsidence properties of loess soils, etc. According to the data of the State Geology and Subsoil Service of Ukraine [1] even before such catastrophic events, the flooding of regions of the territory of Ukraine reached an area of 88.82 thousand km2, the area of landslides was 2148.17 km2. Elimination of the negative consequences of the activation of engineering-geological processes and forecasting their further development largely depend on the timely detection of danger, assessment and forecasting of the degree of geological risk. The article focuses on the analysis of engineering-geological processes before the start of the man-made disaster and covers the periods after, with prognostic assessments for the further resolution of the issue of exiting the critical situation, which requires comprehensive consideration. The possibility of modeling this situation and taking into account the peculiarities of the behavior of the soil environment in such extraordinary conditions will make it possible to carry out such engineering measures that will allow to neutralize the negative impact on the surrounding territory as effectively as possible.
The choice of optimal parameters of the retaining wall of the pit enclosure in conditions of dense construction, taking into account its spatial rigidity
Authors: Nosenko Viktor , Malaman Artur
Published: September 2023

The results of the study of the interaction of the pit enclosure made of flexible retaining walls, arranged in the conditions of dense construction, with the soil foundation are presented.

Calculations were carried out by the method of numerical modeling, using the Plaxis software complex. The modeling is performed in a three-dimensional space, which provides an opportunity for a comprehensive assessment of the stress-strain state (SSS) of the elements of the system "soil array - retaining walls - structures of existing buildings" when using complex configurations of retaining walls and taking into account the factor of their spatial stiffness.

For the analysis of the results, 4 characteristic sections were chosen. Modeling was performed taking into account the following stages:

1) the initialization stage (formation of the soil massif in its natural state);

2) installation of a retaining wall;

3) alternate development of the pit to the design mark;

4) load from the building at the stage of operation.

Based on the results of the calculations, the SSS analysis of the elements of the system "soil massif - retaining walls - structures of existing buildings" was performed, and the reinforcement of the retaining walls was selected, and the costs of the main materials were determined.

It is shown that taking into account the spatial stiffness of the retaining wall of the pit enclosure makes it possible to more effectively estimate the SSS of the retaining wall structure, more correctly estimate the additional deformations of neighboring buildings, due to taking into account the change in the stiffness of the retaining wall of a complex configuration, and therefore, in the future, to more effectively design the constructions of retaining walls.

According to the results of the calculations, it is shown that retaining walls made in 2 rows in a staggered order, with piles with a diameter of 420 mm, have greater rigidity than retaining walls made in 1 row with piles with a diameter of 620 mm. Therefore, in order to reduce additional subsidence of neighboring buildings and reduce horizontal movements of the retaining wall, the option of the retaining wall made by placing piles in a staggered order is a priority in conditions of dense construction.

Armature costs for option 1 are 46% higher compared to option 2. These results indicate that the 2nd option of installing a retaining wall is a more economical solution, however, in conditions of dense construction, its use is limited, since the settlement of neighboring buildings in this case will be greater, due to the lower rigidity of the retaining wall.
Numerical simulation of interaction bored pile and soil mass with taking into account the dilatancy of the soil
Authors: Boyko Igor , Krivenko Oleg , Gavryliuk Oleksandr
Published: September 2023

Pile testing is a necessary and mandatory process of construction buildings and structures erected on pile foundations. There is a need for a correct assessment of the interaction of the elements of the "foundation-pile" system for the reliable and effective design of pile foundations.

The use of soil parameters provided in reports on engineering and geological investigations, without their clarification, leads to a significant discrepancy in the results of numerical modeling of the interaction of piles with the foundation and data from real observations of their settlement as a result of loads. Therefore, there is a need to identify the calculated parameters of the adopted soil model in order to match the simulation results with the results of experimental studies in a wide range of loads.

In this paper, a model of ideal elastic-plastic behavior of the soil environment using the Mohr-Coulomb strength criterion was chosen to describe the interaction behavior of the elements of the "foundation-pile" system. When using this model, it is necessary to take into account a number of its inherent shortcomings, for example, not taking into account the change of the young`s modulus depending the change of the stress-strain state. Additionally, this work examines the influence of the dilatancy effect of sandy soil.

At the initial stage of loads up to 15% of the total settlement of the pile (displacement resulting from potential pile failure), the value of the young`s modulus (E) makes a significant contribution to its operation. At the later stages of loading, significant plastic shear deformations occur in the soil, and accordingly, the leading parameters are the soil strength parameters, in this case, the specific cohesion (c) and the friction angle(φ). Since in this work the drill pile passes through sandy soil for a considerable length, it is also important to take into account the effect of soil dilatation(ψ).

The results of a comparison field test of the bored pile with large-diameter and their numerical simulation of interaction with sandy soils are presented, and the calculation parameters of the soil environment model are identified in order to match the simulation results with experimental data at the corresponding specified loads.

A convergence of up to 5% was achieved in a wide range of loads on the bored pile.