bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiple-attribute group decision-making method of linguistic q-rung orthopair fuzzy generalized power average operator based on DEMATEL
Authors: Cai Mingqian , Zhou Ligang , Chen Mingxian , Chen Huayou
Published: November 2023

Linguistic q-rung orthpair fuzzy sets (Lq-ROFSs) can facilitate describing the uncertainty and the vagueness information existing in the real world. Based on the advantages of Lq-ROFSs, this paper innovatively puts forward a new method to solve the multi-attribute group decision-making (MAGDM) problems when the attribute weight is completely unknown, and proves the feasibility and effectiveness of this method through illustrative examples. Firstly, we propose the linguistic q-rung orthopair fuzzy generalized power average (Lq-ROFGPA) operator, which considers not only the importance of the data itself, but also the interaction between the data, and prove its properties. In particular, the linguistic q-rung orthopair fuzzy weighted generalized power average (Lq-ROFWGPA) operator takes into account the weight between data, which can better aggregate evaluation information. Then, we introduce decision making trial and evaluation laboratory (DEMATEL) method of the linguistic q-rung orthpair fuzzy numbers (Lq-ROFNs) to analyze the causal relationship and key elements of complex systems. Based on DEMATEL method, we further develop a weight model to calculate the attribute weights, which can make up for the deficiency which is the influence of the interaction between attributes that the existing weight determination method for Lq-ROFNs does not consider. Finally, we present a new MAGDM method based on the Lq-ROFWGPA operator and DEMATEL method. Further, several practical examples are given to illustrate the effectiveness and superiority of this new method in comparison with other existing MAGDM methods.
Spatial-temporal load forecasting of electric vehicle charging stations based on graph neural network
Authors: Zhang Yanyu , Liu Chunyang , Rao Xinpeng , Zhang Xibeng , Zhou Yi
Published: November 2023

Accurate forecasting of the load of electric vehicle (EV) charging stations is critical for EV users to choose the optimal charging stations and ensure the safe and efficient operation of the power grid. The charging load of different charging stations in the same area is interrelated. However, forecasting the charging load of individual charging station using traditional time series methods is insufficient. To fully consider the spatial-temporal correlation between charging stations, this paper proposes a new charging load forecasting framework based on the Adaptive Spatial-temporal Graph Neural Network with Transformer (ASTNet-T). First, an adaptive graph is constructed based on the spatial relationship and historical information between charging stations, and the local spatial-temporal dependencies hidden therein are captured by the spatio-temporal convolutional network. Then, a Transformer network is introduced to capture the global spatial-temporal dependencies of charging loads and predict the future multilevel charging loads of charging stations. Finally, extensive experiments are conducted on two real-world charging load datasets. The effectiveness and robustness of the proposed algorithm are verified by experiments. In the Dundee City dataset, the MAE, MAPE, and RMSE values of the proposed model are improved by approximately 71%, 90%, and 67%, respectively, compared to the suboptimal baseline model, demonstrating that the proposed algorithm significantly improves the accuracy of load forecasting.
Traffic image dehazing based on sky region segmentation and transmittance optimization
Authors: Chenmin Ni , Marsani Muhammad Fadhil , Shan Fam Pei
Published: November 2023

Traffic sign recognition is of great significance to promote traffic sustainability and maintain traffic safety. GPS monitoring systems and advanced autonomous vehicles are often heavily reliant on camera imagery. Algorithms based on dark channel prior are susceptible to color distortion when processing traffic images containing bright sky or high-brightness areas, which can negatively impact the identification of traffic signals and signage located in elevated positions. To address this issue, this paper proposes a dehazing algorithm (SRSTO) that combines sky region segmentation and transmittance optimization. Firstly, the gradient, brightness and saturation information are calculated, followed by the construction of a threshold function used in area segmentation. This approach is utilized to partition the image into areas not containing sky highlights and the area that contains them. Subsequently, the dark channel images of the sky and the non-sky regions are acquired, morphological operations are further performed in layers and blocks, and then the atmospheric scattered light value is calculated. Secondly, the functional relationship between the transmittance of the sky region and the brightness of the image is constructed, the transmittance of the sky and the non-sky region are optimized, and the transmittance map is further improved by using guided filtering. A simulated annealing algorithm is employed to intelligently optimize parameters such as sky segmentation threshold and sky brightness area transmittance, followed by improving the adaptability of the algorithm. Finally, combined with Gaussian filtering and Sobel edge enhancement, the image brightness is further adjusted. Using Information Entropy and NIQE as objective evaluation indexes, combined with subjective evaluation, it is concluded that the proposed method has good convergence and self-adaptive ability, and the objective indexes and subjective effects are better, especially for the hazed images containing air traffic signs.
Enhancing the feature selection by employing improved optimization with Simulated Annealing Algorithm for dimensionality reduction in intrusion detection dataset
Authors: Arulmurugan A. , Jose Moses G. , Gandhi Ongole , Sheshikala M. , Arthie A.
Published: November 2023

In the current scenario, feature selection (FS) remains one of the very important functions in machine learning. Decreasing the feature set (FSt) assists in enhancing the classifier’s accuracy. Because of the existence of a huge quantity of data within the dataset (DS), it remains a colossal procedure for choosing the requisite features out of the DS. Hence, for resolving this issue, a new Chaos Quasi-Oppositional-based Flamingo Search Algorithm with Simulated Annealing Algorithm (CQOFSASAA) has been proffered for FS and for choosing the optimum FSt out of the DSs, and, hence, this lessens the DS’ dimension. The FSA technique can be employed for selecting the optimal feature subset out of the DS. Generalized Ring Crossover has been as well embraced for selecting the very pertinent features out of the DS. Lastly, the Kernel Extreme Learning Machine (KELM) classifier authenticates the chosen features. This proffered paradigm’s execution has been tested by standard DSs and the results have been correlated with the rest of the paradigms. From the experimental results, it has been confirmed that this proffered CQOFSASAA attains 93.74% of accuracy, 92% of sensitivity, and 92.1% of specificity.
The evaluation method for the completion degree of sports training action based on deep residual network
Authors: Quyang
Published: November 2023

The completion degree of sports training can not reach the corresponding standard, and the training effect will be greatly weakened. In order to improve the effect of sports training, the evaluation method of sports training completion degree based on deep residual network is studied. The image collector based on ARM is used to collect the action images of athletes in sports training, and the collected action images are preprocessed based on spatial scale filtering and regression factors. Construct a depth residual network, learn the implicit relationship between athletes’ state and the dynamic change process of sports training actions through off-line training, and train the model; In the online application process, the preprocessed action images will be input into the trained evaluation model to evaluate the athletes’ sports training action completion in real time. At the same time, residual shrinkage unit and attention mechanism are used to optimize the depth residual network, which improves the training efficiency and evaluation performance of the network. The experimental results show that this method has good evaluation performance under the condition of setting parameters, and can effectively improve the effect of physical training.
Improved graph representation learning based on neighborhood aggregation and interaction fusion
Authors: Liu Yayun , Ning Kuangfeng
Published: November 2023

The adaptive fusion module with an attention mechanism functions by employing a dual-channel graph convolutional network to aggregate neighborhood information. The resulting embeddings are then utilized to calculate interaction terms, thereby incorporating additional information. To enhance the relevance of fusion information, an adaptive fusion module with an attention mechanism is constructed. This module selectively combines the neighborhood aggregation and interaction terms, prioritizing the most pertinent information. Through this adaptive fusion process, the algorithm effectively captures both neighborhood features and other nonlinear information, leading to improved overall performance. Neighborhood Aggregation Interaction Graph Convolutional Network Adaptive Fusion (NAIGCNAF) is a graph representation learning algorithm designed to obtain low-dimensional node representations while preserving graph properties. It addresses the limitations of existing algorithms, which tend to focus solely on aggregating neighborhood features and overlook other nonlinear information. NAIGCNAF utilizes a dual-channel graph convolutional network for neighborhood aggregation and calculates interaction terms based on the resulting embeddings. Additionally, it incorporates an adaptive fusion module with an attention mechanism to enhance the relevance of fusion information. Extensive evaluations on three citation datasets demonstrate that NAIGCNAF outperforms other algorithms such as GCN, Neighborhood Aggregation, and AIR-GCN. NAIGCNAF achieves notable improvements in classification accuracy, ranging from 1.0 to 1.6 percentage points on the Cora dataset, 1.1 to 2.4 percentage points on the Citeseer dataset, and 0.3 to 0.9 percentage points on the Pubmed dataset. Moreover, in visualization tasks, NAIGCNAF exhibits clearer boundaries and stronger aggregation within clusters, enhancing its effectiveness. Additionally, the algorithm showcases faster convergence rates and smoother accuracy curves, further emphasizing its ability to improve benchmark algorithm performance.
Sulfone-infused covalent organic polymer derived from poly(2-aminothiophenol) and erythrosine B as an excellent tool for C–H activation
Authors: Rana Vivek Singh , Devi Renu , Singh Satyam , Yadav Rajesh K. , Shrivastva Rahul , Murale Dhiraj P. , Singh Atresh Kumar , Singh Atul Pratap
Published: November 2023

The generation of a low HOMO-LUMO energy gap makes organic polymer-based composites an important class of materials with outstanding catalytic efficiency. The present work describes the simple and direct synthesis of an excellent photocatalyst, PC (C26H16NO7S)n via doping of erythrosine-B dye on sulfone infused poly(2-amino thiophenol) assembly (PA, (C6H4NO2S)n). The O 1 s spectrum displays peaks at 531.8 eV and 533.3 eV, representing the O=C and O–C groups of the in-situ generated fluorescein loaded on PA surface. Through absorption study (Tauc’s plot), the optical band gap (Eg) for polymer PA (2.9 eV) and photocatalyst PC (2.1 eV) has been calculated. Further, due to the efficient absorbance in the range of 400–600 nm with a low optical band gap, the applicability of the catalyst, PC has been checked in photocatalytic C–H activation in thiophene, and the generation of C–C bond with p-nitro aryldiazonium salt.
Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier
Authors: Chempak Kumar A. , Mubarak D. Muhammad Noorul
Published: November 2023

BACKGROUND:

Esophageal cancer (EC) is aggressive cancer with a high fatality rate and a rapid rise of the incidence globally. However, early diagnosis of EC remains a challenging task for clinicians.

OBJECTIVE:

To help address and overcome this challenge, this study aims to develop and test a new computer-aided diagnosis (CAD) network that combines several machine learning models and optimization methods to detect EC and classify cancer stages.

METHODS:

The study develops a new deep learning network for the classification of the various stages of EC and the premalignant stage, Barrett’s Esophagus from endoscopic images. The proposed model uses a multi-convolution neural network (CNN) model combined with Xception, Mobilenetv2, GoogLeNet, and Darknet53 for feature extraction. The extracted features are blended and are then applied on to wrapper based Artificial Bee Colony (ABC) optimization technique to grade the most accurate and relevant attributes. A multi-class support vector machine (SVM) classifies the selected feature set into the various stages. A study dataset involving 523 Barrett’s Esophagus images, 217 ESCC images and 288 EAC images is used to train the proposed network and test its classification performance.

RESULTS:

The proposed network combining Xception, mobilenetv2, GoogLeNet, and Darknet53 outperforms all the existing methods with an overall classification accuracy of 97.76% using a 3-fold cross-validation method.

CONCLUSION:

This study demonstrates that a new deep learning network that combines a multi-CNN model with ABC and a multi-SVM is more efficient than those with individual pre-trained networks for the EC analysis and stage classification.
Energy-efficient vacuum evaporation units for concentration in the dairy industry
Authors: Makarov A. , Khodos A. , Kirienko M. , Senchuk M.
Published: November 2023

The application of various types of evaporation plants for concentration of solutions was analyzed. It was noted that the most promising for thickening dairy products are film-type vacuum-evaporation units with mechanical compression of secondary steam. The heating chamber of the evaporator is made in the form of a vertical shell-and-tube heat exchanger with the supply of heating steam into the intertube space and with the downward movement of product solutions in the vertical boiling tubes. Based on the analysis of known studies on hydrodynamics and heat exchange of film processes (condensation, film heating and evaporation and steam separation), a conclusion was made about the lack of data for calculating pressure losses in the steam circuit of the evaporator with sufficient accuracy. To solve this problem, improved methods of calculating the hydraulic resistance of the intertube steam path of the heating chamber and the two-phase flow of the product film and secondary steam in evaporative boiling tubes have been developed using the published results of hydrodynamic resistance research. Pressure losses for the movement of secondary steam in the lower chamber of the evaporator include losses for acceleration of the steam released from the falling film of the product. It is shown that the hydraulic depression of the movement of steam in the intertube space of the heating chamber, depending on the type of scheme, can be from 2.3% to 77% compared to the working temperature pressure of the heating surfaces. The four-way flow scheme of the heating steam used in the design of the vacuum-evaporation unit ensures a reduction of hydraulic losses by up to 15%. A technical and economic analysis of the costs of operating a vacuum-evaporation unit with a productivity of 10 t/h of vaporized steam was performed, according to which the lowest reduced costs were established at a temperature drop of 5˚C on the compressor. The results of the research were used in the development of structures and the manufacture of vacuum-evaporation units with mechanical and mixed (mechanical and thermal) compression at PrJSC "Kalyniv Machine-Building Plant" (Kalynivka, Vinnytsia Region). 10 vacuum evaporation units with a capacity of 5 to 20 t/h of evaporated moisture were manufactured and put into operation.
The Infodemic on Social Media: Perceived Reality, Pandemic Impact, and Public Belief
Authors: Song Selina
Published: November 2023

In an era marked by information overload and unparalleled connectivity, the 'infodemic', a term coined by the WHO, characterizes the deluge of information, both accurate and inaccurate. This research delves into the multifaceted nature of the infodemic during a global pandemic in the year 2021, with a particular focus on its interaction with social media. Challenges encompass the swift dissemination of information, the absence of regulatory oversight, the replication of misinformation, and the susceptibility of the public[1]. The author’s central hypothesis establishes a connection between heightened social media usage during the Infectious Diseases 2019 era and the proliferation of Infectious Diseases related content. Statistical analysis substantiates this correlation.
ІНТЕГРАЛЬНА ОЦІНКА ЕФЕКТИВНОСТІ ЕКОЛОГО-ЕКОНОМІЧНИХ ПРОЦЕСІВ У РЕГІОНАЛЬНІЙ ПЛОЩИНІ З ПОЗИЦІЙ СТАЛОГО РОЗВИТКУ
Authors: Коблянська Інна
Published: November 2023

Дане дослідження спрямоване на визначення динаміки рівня сталого розвитку регіонів України за 2013-2021 рр. Результатом дослідження є розробка методичного підходу до оцінювання рівня сталого розвитку регіону, який базується на поєднанні складових індексу людського розвитку та інтегрального показника якості довкілля. Отримані оцінки засвідчили негативний вплив військових дій на території країни на всі регіони. Тенденція до зниження індексу сталого розвитку протягом 2014-2017 рр. зафіксована у всіх регіонах України. Лише незначна кількість регіонів змогли у 2021 р. відновитись і покращити значення показника порівняно з 2013 р. Найбільш уразливими виявились економічна сфера та здоровʼя населення. Покращення екологічної складової є, скоріше, наслідком економічного спаду, а не результатом свідомої політики. Отримані результати свідчать про необхідність зеленої трансформації технологічної основи економіки регіонів та відповідного вдосконалення регіональної політики.
ОСОБЛИВОСТІ АНАЛІТИЧНОГО ЗАБЕЗПЕЧЕННЯ ЕКСПЛУАТАЦІЇ ІНФОРМАЦІЙНИХ СИСТЕМ ТА ОБЛАДНАННЯ В СУЧАСНИХ УМОВАХ
Authors: НЕВЗОРОВ А.В. , СКЛЯРЕНКО О.В. , КОЛОДІНСЬКА Я.О. , ЯРОВИЙ Р.О.
Published: November 2023

До пріоритетних завдань науково-технічного характеру, вирішення яких створює умови для вдосконалення процесу експлуатації складних технічних систем та обладнання, належать такі: упровадження сучасних апаратних засобів, методів і програмно-алгоритмічного забезпечення параметричного контролю й діагностування обладнання, засобів і відпрацьованих технологій застосування методів неруйнівного контролю елементів (агрегатів), у яких у процесі експлуатації виникають відмови. Вирішення цих завдань потребує застосування аналітичних, статистичних та інших методів і підходів для визначення й оцінювання показників надійності систем. Саме дослідженню питань аналітичного забезпечення експлуатації складних, зокрема інформаційних, систем і технічного обладнання присвячена стаття. У статті визначено особливості аналітичного забезпечення експлуатації інформаційних систем і технічного обладнання в умовах сучасних викликів, наведено визначення показників надійності й оцінювання рівня безвідмовності складних технічних об’єктів. Аналіз наукових праць за цією темою виявив, що наразі недостатньо досліджені й відсутні чітко обґрунтовані рекомендації щодо врахування впливу на величину статистичного оцінювання показника надійності виробу календарного терміну його експлуатації поряд із наробітком. Авторами запропоновано науковий підхід, який дає змогу здійснити якісне оцінювання рівня надійності щодо попередніх періодів експлуатації. При цьому не враховується вплив на статистичне оцінювання показника інтенсивності експлуатації. Статистичні дані про відмови та несправності отримуються за нестабільних умов спостережень, що значно впливає на точність і достовірність оцінювання. Одним із часткових завдань дослідження є вдосконалення методики статистичного контролю надійності агрегатів технічного обладнання з урахуванням впливу інтенсивності експлуатації та нестабільних умов спостережень.
ТЕХНОЛОГІЯ СТВОРЕННЯ ВІРТУАЛЬНОЇ СФЕРИЧНОЇ 3D-ПАНОРАМИ ДЛЯ СОЦІАЛЬНОЇ МЕРЕЖІ FACEBOOK
Authors: РАТУШНЯК Т.В. , ГЛАДЧЕНКО О.В. , ОМЕЛЬЧУК А.А. , ВИШЕМІРСЬКА Я.С.
Published: November 2023

Створення тривимірних панорам дає змогу користувачам отримати вражаючий імерсивний ефект і відчуття присутності. Завдяки розвитку програмного забезпечення й відповідних алгоритмів створення тривимірних панорам зі звичайних фотографій стало більш доступним. 3d-панорами знайшли застосування в різних галузях, таких як туризм, нерухомість, віртуальна реальність, відеоігри, дизайн та архітектура. Тривимірні панорами є важливим елементом у VR та AR‑додатках. Користувачі вимагають інтерактивного й захопливого контенту, що спонукає популярні соціальні мережі та веб-сайти впроваджувати й підтримувати 3d-технології. У роботі досліджується питання створення віртуальної сферичної 3d-панорами для соціальної мережі Facebook. Запропоновано технологію створення віртуальної сферичної 3d-панорами з допомогою сучасних цифрових інструментів. Актуальність запропонованої технології зумовлена розвитком галузі цифрового дизайну й користувацьким попитом у соціальних мережах на нові технології обробки графічної інформації. На першому етапі розглянуто технічні прийоми й особливості процесу фотографування приміщення на звичайний фотоапарат. На другому етапі виконується огляд сучасних цифрових інструментів для зшивання фотокадрів у сферичну розгортку; виконується зшивання фотокадрів за стандартним алгоритмом, який базується на математичних методах обробки кольорового зображення формату RGB і включає пошук контрольних точок на кожному фотокадрі, зіставлення таких точок, вирівнювання та змішування зображень. На третьому етапі проводиться корекція метаданих файлу-розгортки з урахуванням вимог до параметрів зображення, які необхідні для розпізнавання й демонстрації засобами соціальної мережі Facebook. На четвертому етапі проводиться тестова публікація віртуальних сферичних 3d-панорам у соціальній мережі Facebook.
РОЗРАХУНОК ПАРАМЕТРІВ МАЛОРОЗМІРНИХ ЕЛЕМЕНТІВ ПОКРИТТІВ ПІШОХІДНИХ ДОРІЖОК І МАЙДАНЧИКІВ ЗІ ЗМІНЕНОЮ НИЖНЬОЮ ОСНОВОЮ
Authors: ДУМАНСЬКА В.В. , НАЗАРЕНКО О.А.
Published: November 2023

Одним із найбільш поширених рішень улаштування пішохідних доріжок, майданчиків, прибудинкових територій є застосування покриттів, що складаються з малорозмірних неармованих бетонних плит. Такий вибір пов’язаний з екологічною чистотою, естетичною привабливістю покриттів, можливістю їх легкого розбирання й заміни зруйнованих елементів. Для запобігання деформаціям у дорожньому одязі з малорозмірних плит запропоновано використовувати плити, що виконані за новими конструктивними рішеннями, а саме, на відміну від традиційних плит із плоскою нижньою основою, застосовувати плити зі зміненою геометричною основою. Проведені раніше дослідження вказують на те, що використання запропонованих покриттів зумовить покращення їх якісних характеристик. Але для виготовлення плит за новими конструктивними рішеннями потрібно попередньо розрахувати їх параметри. У роботі розглянуті два варіанти моделей плит із квадратною формою в плані, але зі зміненою нижньою геометричною основою. У першому варіанті нижня основа складається з трьох ребристих призматичних елементів, у другому – з п’яти чотиригранних пірамідальних елементів, розташованих у шаховому порядку. Для запобігання додатковим витратам на бетон за рахунок зміненої нижньої основи пропонується залишити об’єм таким самим, як і для аналогічної традиційної плити з плоскою основою, з однаковими розмірами й формою в плані, але знизити об’єм верхньої призматичної частини плити на величину об’єму нижньої основи за рахунок зменшення висоти її бічної сторони. Для зручного і швидкого проведення розрахунків параметрів малорозмірних плит із ребристою та рифленою (з пірамідальних елементів) нижньою основою виведено універсальні формули, які пов’язують між собою параметри висот, довжини ребер, кутів при вершині в поздовжньому перетині й кутів нахилу елементів нижньої основи, а також габаритних розмірів плит у плані. Отримані формули перевірено для з’ясування параметрів розглянутих моделей плит при трьох випадках кутів (120°, 90°, 60°) при вершинах у поздовжньому перетині. Результати розрахунків параметрів збіглися з тими, що проведені за допомогою традиційних методів обчислення. Розроблені формули можна застосовувати для отримання параметрів двох запропонованих варіантів плит квадратної форми в плані за будь-яких значень сторони квадрата й кутів при вершині в поздовжньому перетині елементів нижньої основи.
Whistleblowing-whistleblowers en el combate a la corrupción: hacia la construcción de una cultura de la denuncia en México
Authors:   Universidad Autónoma de Aguascalientes, Cruz Cisneros Ixchel
Published: November 2023

El artículo examina las determinantes del Whistleblowing conocido como la denuncia de irregularidades y los whistleblowers, alertadores o denunciantes de la corrupción. Este mecanismo se ha colocado en el centro del debate por su efectividad en los procesos anticorrupción, sin embargo, ¿cómo está México en la construcción de una cultura de la denuncia? La comprensión de los contextos y las razones de la denuncia son poco claras. El estudio propone indagar estos factores con datos de la Encuesta de la Cultura de la Denuncia de la Secretaría de la Función Pública, 2019.
Responsabilidad pública y restitución de la confianza en contextos de violencia
Authors: Fumarulo Stefano
Published: November 2023

A principios de la década de los noventa, en Italia se registraron actos graves de corrupción y delincuencia organizada que se venían gestando dos décadas atrás. Por un lado, el agravamiento de la situación y, por otro lado, la presión de los medios de comunicación y organizaciones de la sociedad civil hizo que las autoridades tomaran acción para combatir la mafia y la corrupción. El artículo narra la experiencia italiana en el combate a la corrupción y a la delincuencia organizada.
Psychology’s reform movement needs a reconceptualization of scientific expertise
Authors: Uygun Tunç Duygu , Tunç Mehmet Necip
Published: November 2023

Science is supposed to be a self-correcting endeavor, but who is “the scientific expert” that corrects faulty science? We grouped traditional conceptualizations of expertise in psychology under three classes (substantialist, implicitist, and social conventionalist), and then examined how these approaches affect scientific self-correction in reference to various components of the credibility crisis such as fraud/QRPs, the inadequate number of replication studies, challenges facing big team science, and perverse incentives. Our investigation pointed out several problems with the traditional views. First, traditional views conceptualize expertise as something possessed, not performed, ignoring the epistemic responsibility of experts. Second, expertise is conceived as an exclusively individual quality, which contradicts the socially distributed nature of scientific inquiry. Third, some aspects of expertise are taken to be implicit or relative to the established research practices in a field, which leads to disputes over replicability and makes it difficult to criticize mindless scientific rituals. Lastly, a conflation of expertise with eminence in practice creates an incentive structure that undermines the goal of self-correction in science. We suggest, instead, that we conceive an expert as a reliable informant. Following the extended virtue account of expertise, we propose a non-individualist and a performance-based model, and discuss why it does not suffer from the same problems as traditional approaches, and why it is more compatible with the reform movement's goal of creating a credible psychological science through self-correction.
The “replication crisis” and trust in psychological science: How reforms shape public trust in psychology
Authors: Methner Nicole , Dahme Barbara , Menzel Claudia
Published: November 2023

Failed replications can jeopardize public trust in psychological science and recent findings cast doubt on the idea that self-corrections and reforms can rebuild this trust. These findings are in contrast to trust repair research that proposes changes in transparency, norms, and policies as trust repair mechanisms. This raises the question of whether the used experimental material is one reason behind these unexpected findings. Previous studies used short texts that may give too little information on the replication crisis and initiated reforms in the field. In a pre-registered experiment (N = 390), we, therefore, tested whether comprehensive information about the replication crisis and reforms increases public trust in psychology, compared to a control condition that only informs about the replication crisis. To give comprehensive information, we created an animated video for each experimental condition. After watching the video, participants indicated their trust in researchers, trust in past research findings, and trust in current research findings. As expected and in line with trust repair research, information about reforms increased trust in researchers and in current (vs. past) research, compared with information about the replication crisis and its causes only. We discuss the generalizability of our results and implications for communicating the replication crisis to the public.
Strategic ambiguity in the social sciences
Authors: Frankenhuis Willem E. , Panchanathan Karthik , Smaldino Paul E.
Published: November 2023

In the wake of the replication crisis, there have been calls to increase the clarity and precision of theory in the social sciences. Here, we argue that the effects of these calls may be limited due to incentives favoring ambiguous theory. Intentionally or not, scientists can exploit theoretical ambiguities to make support for a claim appear stronger than it is. Practices include theory stretching, interpreting an ambiguous claim more expansively to absorb data outside of the scope of the original claim, and post-hoc precision, interpreting an ambiguous claim more narrowly so it appears more precisely aligned with the data. These practices lead to the overestimation of evidence for the original claim and create the appearance of consistent support and progressive research programs, which may in turn be rewarded by journals, funding agencies, and hiring committees. Selection for ambiguous research can occur even when scientists act in good faith. Although ambiguity might be inevitable or even useful in the early stages of theory construction, scientists should aim for increased clarity as knowledge advances. Science benefits from transparently communicating about known ambiguities. To attain transparency about ambiguity, we provide a set of recommendations for authors, reviewers, and journals. We conclude with suggestions for research on how scientists use strategic ambiguity to advance their careers and the ways in which norms, incentives, and practices favor strategic ambiguity. Our paper ends with a simple mathematical model exploring the conditions in which high-ambiguity theories are favored over low-ambiguity theories, providing a basis for future analyses.
Nuevo compendio onomástico de la medicina en Aguascalientes, 1600-1900
Authors: López y de la Peña Xavier A.
Published: November 2023

En este trabajo, revisado, corregido y aumentado, damos a conocer, por orden alfabético, a 296 personajes que identificamos de manera directa o indirecta, ya en archivos, citas en libros y otras fuentes, en el ejercicio de sus habilidades y conocimientos en el terreno de la atención a los problemas de la salud de las personas en el estado de Aguascalientes, desde el año 1600 hasta 1900. Ellos son, entonces, los iniciadores de la atención médica a partir del establecimiento de la población de Villa de Nuestra Señora de la Ascención de las Aguas Calientes en el año de 1575. Cada persona tiene una identificación que indica cómo actuaba en el campo de la salud, seguido de fechas extremas que hacen referencia a la fecha de nacimiento del mismo o la primera fecha en que se le menciona en algún texto o documento, junto con la fecha de defunción o la última fecha en la que se le identifica y, por último, el lugar geográfico en que se desempeñaba. Sirva esta obra para rendir un modesto homenaje a la memoria de este grupo de pioneros en el hacer médico en Aguascalientes; en reconocimiento al hoy fallecido profesor Alejandro Topete del Valle, precursor de la historiografía médica en el estado, y como estímulo para continuar el rescate del pretérito regional en el terreno de la atención a los problemas de salud de sus pobladores; que nos dé raíz, identidad y orgullosa pertenencia a este gratificante y, a veces, azaroso bregar en la dilatada tarea del hacer hipocrático local.
Use of agile methodology for project management in banking organizations
Authors: A. V Bardas , O. O Avramenko
Published: November 2023

Methods. Scientific results were obtained using the following methods: structural and logical – when identifying the relationships between the definition of the essence of the object of activity in the works of Ukrainian and foreign authors; chronological method – in reconstructing the chronology of the development of flexible project management methods and their impact on the quality of project execution; the method of substantive analysis – when comparing different methods of project management to formulate the advantages that a financial institution can receive from the use of flexible methods of project management. Results. Directions for adjusting the strategic development plans of banking organizations are proposed, which will allow to minimize the risks of conducting business operations under conditions of force majeure. A list of tools (mortgage financing, interest rate increase, opportunities to invest one's own savings in securities) is proposed, which should help to increase the deposit base of individuals and legal entities. Positive trends of the transition to flexible project management methods have been identified. The results of the transformation of banking institutions into mobile banks are shown and the distribution of the client base by channels of using the functionality is given. Novelty. The advantages of the transition to flexible management methods, namely agile, in project management in banking organizations have been revealed. The current state of transformation of banking organizations on the way to the transition to digital banking is considered. Practical value. This study demonstrates the possibilities and prospects for the development of a flexible approach to project management (agile approach) in banking organizations.
Management of energy industry enterprises based on the sustainable development concept
Authors: Yu. S Papizh , A. F Kosolapov , V. V Yudenko , S. V Kozarevych
Published: November 2023

Methods. Sustainable development of energy company is affected significantly by principals of external economic environment that is local, national and global economies. The problem of choosing a model of sustainable development of a mining enterprise is determined, which makes it possible to predict the trajectory of its development in the short and long term, the choice of optimal solutions. It was emphasized that the cluster mechanism is an effective and efficient tool for stimulating the development of the regional economy. The theoretical foundations of the essence of clusters, their effective formation and functioning have been analyzed. The understanding of the essence of the regional cluster in modern business conditions and the need to improve the conceptual foundations of its definition are studied. Results. It is proposed to manage the mining enterprise on the basis of sustainability based on the principle of sustainable development based on the value of the object. The main purpose of this method is to monitor production costs in order to reduce them and redistribute overhead costs. Novelty. The concept of «autonomous specialized poly-structural cluster» of the mining region is proposed, which, unlike the existing ones, provides for the combination of business entities not on the basis of belonging to one industry through the manufacture of relevant products and providing services, but on the basis of belonging to a single resource center of the cluster, which provides an opportunity to use a complex of resources of natural and man-made origin for production and provision of services in various industries. Practical value. The integration of these provisions in order to adapt to the harmonious development of the energy enterprise can help resolve the conflict between the principles of sustainable development and the rules of the market economy.
Marketing communications, sustainable development during the promotion of home appliances in online stores under wartime conditions
Authors: S. Ya Kasian , D. Ye Shapoval , R. V Mykhailyshyn
Published: November 2023

Methods. The following methods and tools of scientific research are used in the article: induction and deduction – when analyzing data from a survey of respondents; description and generalization – during the analysis of theoretical and methodological components of product promotion; statistical analysis – during the processing of annual financial reports of company; Google ADS analytics methods – during the analysis of the advertising office, sales funnel of the online store and user interaction; competitive analysis, comparison – when researching products promotion on the market. Results. The sale by categories is characterized. The dynamics are evaluated. The organization of the marketing management system of the enterprise thanks to the CRM system of the European platform Bitrix24 is described taking into account sustainable development principles. The management and marketing problem of the enterprise is defined. Internet marketing management at the enterprise was studied, advertising communication flows through Google ADS through responsible consumption were analyzed. It is established that three types of advertising campaigns are used in the communication policy, such as: search, shopping and video campaigns. Types of Miele brand-architecture, Advertising workspace with sustainability are given. It has been established that the online store is currently in a market period in a phase of intensive growth. This is a period of sharp increase in sales volumes. Novelty. According to the results of the analysis, the increase in sales volumes was determined; the functioning of the CRM system at the enterprise of PE RC «Climat system» in 2023 was simulated; types of Miele brand architecture are outlined. The advertising office and sales funnel of the online store were also analyzed taking into account sustainable development. Practical value. The performed analysis allows to improve the planning and organization of Internet marketing communications of economic agents in the markets of household appliances of Ukraine taking into account sustainable development.
Fintech tools for predicting bankruptcy: integration of traditional and innovative approaches
Authors: L. H Solianyk , N. M Shtefan , A. O Nikolaienko
Published: November 2023

Methods. The theoretical and methodological basis of the study is the scientific developments of domestic and foreign scholars related to the issues of determining the role and features of using traditional discriminant models of bankruptcy forecasting and modern FinTech tools. The results of the study were obtained using the methods of abstraction; general and particular – in establishing the unity of existing traditional methods of bankruptcy forecasting and innovative FinTech technologies; the systematic method was used to systematise a wide range of FinTech tools specifically designed to predict the bankruptcy of enterprises, the method of generalisation – in identifying common digital elements to create analytical capabilities for managing the financial activities of an enterprise and risk management. Methods of theoretical and empirical research, including abstraction and comparison, were also used to identify the specifics of applying various forecasting models and the capabilities and advantages of FinTech tools. Graphical analysis methods were used to visualise the results of the study. Results. The results of the study revealed the potential of integrating discriminant models and FinTech tools in bankruptcy forecasting, which will help improve financial analysis and risk management in the context of economic changes. The article shows that the use of discriminant models for predicting bankruptcy has the potential to improve financial analysis and effective risk management. These models allow to take into account various financial indicators and factors that affect the probability of bankruptcy of an enterprise. They provide an opportunity to assess a company's financial stability and ability to repay its liabilities. If used correctly, these models can help to ensure early detection of financial problems and take effective measures to prevent bankruptcy. Novelty. In the course of the study of bankruptcy forecasting models, it is established that the optimal combination of discriminant models and FinTech tools provides an opportunity to obtain accurate forecasts of the further functioning and development of enterprises and opens up new prospects for financial analysis to avoid risks and implement effective innovative solutions in today's changing environment. Practical value. It is the ability to integrate traditional and innovative approaches to solving specific problems related to bankruptcy forecasting and the development of enterprises in an unstable environment.
Pelatihan Pemanfaatan Limbah Stryrofoam Sebagai Media Tanaman Hidroponik Sistem Wick
Authors: Mu'ah Mu'ah , Masram Masram , Ariefin Mesra Surya , Badi'ah Roudlotul , Dilasari Aranta Prista
Published: November 2023

This community service aims to improve the skills of community members regarding wick system hydroponic vegetable planting using Styrofoam waste on limited land to improve the economy in Tumenggungan Village, Lamongan Regency. The method for implementing this service uses training consisting of counseling and mentoring. The evaluation instrument for this activity uses direct observation, which is then analyzed descriptively and based on the achievement of harvest results. The results of the service showed that there was a positive response from the training participants, which was demonstrated by the enthusiasm of the participants' activeness and interaction, starting from the presentation of the material, the practice of making hydroponics, planting hydroponics, until the completion of hydroponic harvesting. Apart from that, the hydroponic vegetable crops produced, namely kale, pak choy, and red spinach, can be used to meet daily consumption needs and open up opportunities to increase income in the family and the economy of the community in Tumenggungan Village, Lamongan Regency.
Edukasi Kesehatan Reproduksi Remaja Putri dan Pembentukan Kader Remaja Sehat Reproduksi
Authors: Meinarisa Meinarisa , Nasution Riska Amalya , Kamariyah Kamariyah , Alim Khairul
Published: November 2023

This community service aims to increase young women's knowledge and form a cadre of reproductively healthy teenagers. The method for implementing this service was counseling and FGD. The evaluation instrument used the adolescent menstrual attitude questionnaire, which was analyzed descriptively. The results of this service showed that there had been significant changes in young women's knowledge regarding reproductive health and attitudes towards maintaining reproductive health during menstruation and the environment. This result was proven by pretest-posttest data on the knowledge and attitudes of young women in maintaining personal and environmental hygiene during menstruation. Apart from that, reproductive health cadres had been formed to support school activities and personal hygiene for young women. These cadres were volunteers and provided their peers with information related to reproductive health to their peers.
A Systematic Review of Functional Outcome after Lateral Surgical Approach for Total Hip Arthroplasty
Authors: MA Faisal , AZ Chowdhury , IK Kundu , CI Mahmud , MY Ali , SP Runa , S Parajuli , MR Amin , M Zawad , D Dey , ME Choudhury
Published: November 2023

Introduction: Osteoarthritis affects 10% of the population, primarily affecting weight-bearing joints such the hips (5%) and other joints. A total hip arthroplasty (THA) is typically required (2.5% of persons between the ages of 40 and 84) as a result of worsening gait, rising pain, and stiffness. There have been many different surgical methods for the hip mentioned. The posterior and direct lateral approaches are currently the main THA techniques. The direct lateral method is said to have the advantage of allowing good acetabular exposure and simplifying cup alignment, which may lower hip dislocation rates. Additionally, it reduces the chance of damaging the sciatic nerve far from the surgical site. Materials and Methods: The prospective study on 25 patients with unilateral osteoarthritis, aged 25 to 60 years was carried out at Department of Orthopaedic surgery, Bangabandhu Sheikh Mujib Medical University and different private hospital at Dhaka, Bangladesh from September 2020 to March 2023 where outcome of uncemented THR by Direct Lateral approach was recorded. Evaluation of the results was done the day before the procedure as well as one month, three months, six months, and twelve months thereafter. Aim: The main objective was to find out functional outcome of patients after total hip arthroplasty by direct lateral approach. Results: Total 25 Patients with unilateral osteoarthritis have undergone uncemented total hip arthroplasty by Lateral approach, n= 25; 12(48%) were female and 13 (52%) were male. The mean age of patients was 42.5 years range from 25-60 years. Right Side was predominantly affected in all cases. VAS, HHS and WOMAC scores significantly improved at the follow-up after THA by the LA (all p < 0.05). A VAS score preoperatively was 8.7 which was improved 2.5 at 12 months follow up with significant p value <0.001. Conclusion: Patients who had Total Hip Arthroplasty performed with the Lateral Approach reported significiant improvement in functional outcomes with less postoperative muscle damage, stiffness, and pain during daily activities.
The China-US trade dispute in Neo-Realism perspective and settlement of dispute by the WTO
Authors: Farnillah Annisa Nadya , Paksi Arie
Published: November 2023

This study examines the trade dispute between the United States and China from a neo-realist perspective. The relationship between the United States (US) and China became a public concern during the leadership of US President Donald Trump. How could it not be, the two countries were involved in a trade war which ultimately had an impact on the global trade sector in 2019. The method used in this research is qualitative, qualitative provides an in-depth explanation of a phenomenon by collecting related data, highlighting the importance of accuracy and detail in the information provided. studied. The aim of this research is to analyze the trade conflict between China and the US from a neo-realism perspective. This aim can help understand how power can influence. The research results show that the trade war started because Trump did not agree with his country's trade. then linked to neo realism where each country will respond based on its own aspirations for the sake of national interests. Until finally this trade dispute was resolved by the World Trade Organization (WTO). The WTO says the United States has violated global trade rules by imposing tariffs worth billions of dollars in its trade war with China. The WTO decision immediately angered Washington.