bluuebunny/crossref_metadata_2025 huggingface dataset:
Ganos Aero: A Cloud-Native System for Big Raster Data Management and Processing
Authors: Xiao Fei , Xie Jiong , Chen Zhida , Li Feifei , Chen Zhen , Liu Jianwei , Liu Yinpei
Published: September 2023

The development of Earth Observation technology contributes to the production of massive raster data. It is vital to manage and conduct analytical tasks on the raster data. Existing solutions employ dedicated systems for the raster data management and processing, respectively, incurring problems such as data redundancy, difficulty in updating, expensive data transferring and transformation, etc. To cope with these limitations, this demonstration presents Ganos Aero, a cloud-native system for big raster data management and processing. Ganos Aero proposes a unified raster data model for both the data management and processing, which stores a single copy of the raster data and without performing an expensive tiling procedure, and thus achieves significant improvement in the storage and updating efficiency. To enable efficient query and batch task processing, Ganos Aero implements an on-the-fly tile production mechanism, and optimizes its performance using the cloud features including decoupling compute from storage and pushing costly operations closer to the storage layer.

Since deployed in Alibaba Cloud in 2022, Ganos Aero has been playing a critical role in many real applications including the modern agriculture, environment monitoring and protection, et al.
RESCU-SQL: Oblivious Querying for the Zero Trust Cloud
Authors: Li Xiling , Tan Gefei , Wang Xiao , Rogers Jennie , Homsi Soamar
Published: September 2023

Cloud service providers offer robust infrastructure for rent to organizations of all kinds. High stakes applications, such as the ones in defense and healthcare, are turning to the public cloud for a cost-effective, geographically distributed, always available solution to their hosting needs. Many such users are unwilling or unable to delegate their data to this third-party infrastructure.

In this demonstration, we introduce RESCU-SQL, a zero-trust platform for resilient and secure SQL querying outsourced to one or more cloud service providers. RESCU-SQL users can query their DBMS using cloud infrastructure alone without revealing their private records to anyone. It does so by executing the query over secure multiparty computation. We call this system zero trust because it can tolerate any number of malicious servers provided one of them remains honest. Our demo will offer an interactive dashboard with which attendees can observe the performance of RESCU-SQL deployed on several in-cloud nodes for the TPC-H benchmark. Attendees can select a computing party and inject messages from it to explore how quickly it detects and reacts to a malicious party. This is the first SQL system to support all-but-one maliciously secure querying over a semi-honest coordinator for efficiency.
DataRinse: Semantic Transforms for Data Preparation Based on Code Mining
Authors: Abdelaziz Ibrahim , Dolby Julian , Khurana Udayan , Samulowitz Horst , Srinivas Kavitha
Published: September 2023

Data preparation is a crucial first step to any data analysis problem. This task is largely manual, performed by a person familiar with the data domain.
DataRinse
is a system designed to extract relevant transforms from large scale static analysis of repositories of code. Our motivation is that in any large enterprise, multiple personas such as data engineers and data scientists work on similar datasets. However, sharing or re-using that code is not obvious and difficult to execute. In this paper, we demonstrate DataRinse to handle data preparation, such that the system recommends code designed to help with the preparation of a column for data analysis more generally. We show that DataRinse does not simply shard expressions observed in code but also uses analysis to group expressions applied to the same field such that related transforms appear coherently to a user. It is a human-in-the-loop system where the users select relevant code snippets produced by DataRinse to apply on their dataset.
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4
Authors: Trummer Immanuel
Published: September 2023

GPT-DB generates code for SQL processing in general-purpose programming languages such as Python. Generated code can be freely customized using user-provided natural language instructions. This enables users, for instance, to try out specific libraries for SQL processing or to generate non-standard output while processing.

GPT-DB is based on OpenAI's GPT model series, neural networks capable of translating natural language instructions into code. By default, GPT-DB exploits the most recently released GPT-4 model whereas visitors may also select prior versions for comparison. GPT-DB automatically generates query-specific prompts, instructing GPT on code generation. These prompts include a description of the target database, as well as logical query plans described as natural language text, and instructions for customization. GPT-DB automatically verifies, and possibly re-generates, code using a reference database system for result comparisons. It enables users to select code samples for training, thereby increasing accuracy for future queries. The proposed demonstration showcases code generation for various queries and with varying instructions for code customization.
The Story of GraphLab - From Scaling Machine Learning to Shaping Graph Systems Research (VLDB 2023 Test-of-Time Award Talk)
Authors: Gonzalez Joseph E. , Low Yucheng
Published: September 2023

The GraphLab project spanned almost a decade and had profound academic and industrial impact on large-scale machine learning and graph processing systems. There were numerous papers written describing the innovations in GraphLab including the original vertex-centric [8] and edge-centric [3] programming abstractions, high-performance asynchronous execution engines [9], out-of-core graph computation [6], tabular graph-systems [4], and even new statistical inference algorithms [2] enabled by the GraphLab project. This work became the basis of multiple PhD theses [1, 5, 7]. The GraphLab open-source project had broad academic and industrial adoption and ultimately lead to the launch of Turi.

In this talk, we tell the story of GraphLab, how it began and the key ideas behind it. We will focus on the approach to achieving scalable asynchronous systems in machine learning. During our talk, we will explore the impact that GraphLab has had on the development of graph processing systems, graph databases, and AI/ML; Additionally, we will share our insights and opinions into where we see the future of these fields heading. In the process, we highlight some of the lessons we learned and provide guidance for future students.
Post-Holocaust Transitional Justice in Hungary – Approaches, Disputes, and Debates
Authors: Barna Ildikó
Published: September 2023

The article examines post-Holocaust transitional justice in Hungary, starting with a concise overview of the establishment and functioning of the Hungarian people’s tribunal system. It then explores historians’ approaches in analyzing these tribunals, including “grand trials” and micro-historical analyses of prominent individuals’ cases published after 1989. The paper deals with the connection between the Holocaust and the people’s tribunals, as well as the gendered analysis of these proceedings. Furthermore, it delves into the contentious issues and debates surrounding the people’s tribunals, encompassing questions about their definition, legal legitimacy due to retrospective justice, effectiveness, and potential exploitation by the Hungarian Communist Party for power consolidation and elite transformations. Lastly, the paper explores the divided memory of the people’s tribunals.
Fault diagnosis of automobile drive based on a novel deep neural network
Authors: Guo Cangku
Published: September 2023

The times are progressing. Facing the increasing number of electric vehicles, they use power batteries as energy storage power sources. As a core component of electric vehicle, the drive motor is related to the normal operation of the vehicle. If the driving motor fails, passengers may be irreversibly hurt, so it is very important to diagnose the driving motor of electric vehicle. This paper mainly analyzes the faults of electric vehicles, and makes use of diagnostic signals to diagnose the faults. A novel fault diagnosis method of automobile drive based on deep neural network is proposed. In this method, CNN-LSTM model is constructed. Firstly, the vibration signals are transformed into time-frequency images by fast Fourier transform, and then the time-frequency images are input into the proposed model to obtain the fault classification results. In addition, CNN, LSTM and BP neural network are introduced to compare with the methods proposed in this paper. The results show that CNN-LSTM model is superior to the other three models in the fault diagnosis of automobile drive, reaching 99.02 % of the fault accuracy rate, showing excellent fault diagnosis performance. And when the same learning rate is used for training, the rate of loss reduction is obviously better than that of the other three types of vehicle drive fault diagnosis method based on CNN-LSTM.
Kantian Thoughts. Towards an Alternative to Russellian and Fregean Propositions
Authors: Hoeppner Till
Published: September 2023

What are thoughts, or propositions, exactly? I develop an answer to this question in relation to the Russellian and Fregean views – propositions as facts and propositions as contents –, defending a Kantian alternative: propositions as acts. I move from natural or naïve Russellianism and its difficulties to more sophisticated and promising Fregeanism, which can respond to these difficulties but only at the expense of leaving open serious explanatory gaps of its own. Along the way, I develop Kantianism as incorporating what is promising in Fregeanism while closing the gaps this view left open, and present it more systematically at the end.
Reliability, construct validity, and factorial structure of a Swedish version of the medical outcomes study social support survey (MOS-SSS) in patients with chronic pain
Authors: Ljungvall Hanna , Ekselius Lisa , Åsenlöf Pernilla
Published: September 2023

Objectives

This study aimed to examine the psychometric properties of a Swedish version of the Medical Outcomes Study Social Support Survey (MOS-SSS).

Methods

Standard forward-backward translation was used. A cross-sectional survey was conducted among treatment seeking individuals with chronic pain included in a clinical cohort. Internal consistency was measured with Cronbach’s α, test-retest reliability was examined with intraclass correlation, confirmatory factor analyses was used for examining factor structure, and correlations between the MOS-SSS and selected health validity measures were used for testing concurrent validity hypotheses.

Results

182 participants were included in the study. Internal consistency measured with Cronbach’s alpha was acceptable for all subscales and for the total support index of the MOS-SSS. Test-retest reliability was moderate – good for the different subscales, and was good for the overall support index. The original four factor model of the MOS-SSS was confirmed, and the concurrent validity hypotheses were also confirmed; however, the associations were weaker than expected.

Conclusions

The Swedish version of the MOS-SSS was found psychometrically sound and offers a systematic assessment of social support in specialized pain care.
Revisiting the Concept of Pensée Opératoire: Some Conceptual, Empirical, and Clinical Considerations
Authors: Taylor Graeme J. , Bagby R. Michael , Porcelli Piero
Published: September 2023

The concept of pensée opératoire (operational thinking) was introduced by French psychoanalysts in 1963 and a decade later was included as an essential component of the alexithymia construct as formulated by the U.S. analysts John Nemiah and Peter Sifneos. Despite a large body of research on alexithymia, the pensée opératoire component is not well understood, especially among clinicians and researchers who are not familiar with French psychoanalytic literature. In this article we clarify the definition and metapsychological conceptualization of the concept, review findings from some relevant empirical studies, and critique a recent proposal for redefining the alexithymia construct that departs from the original understanding of pensée opératoire. We also discuss some clinical implications of the concept and some strategies that psychotherapists can employ in the treatment of patients with this mode of thinking.
Express Visuomotor Responses Reflect Knowledge of Both Target Locations and Contextual Rules during Reaches of Different Amplitudes
Authors: Contemori Samuele , Loeb Gerald E. , Corneil Brian D. , Wallis Guy , Carroll Timothy J.
Published: September 2023

When humans reach to visual targets, extremely rapid (∼90 ms) target-directed responses can be observed in task-relevant proximal muscles. Such express visuomotor responses are inflexibly locked in time and space to the target and have been proposed to reflect rapid visuomotor transformations conveyed subcortically via the tecto-reticulo-spinal pathway. Previously, we showed that express visuomotor responses are sensitive to explicit cue-driven information about the target, suggesting that the express pathway can be modulated by cortical signals affording contextual prestimulus expectations. Here, we show that the express visuomotor system incorporates information about the physical hand-to-target distance and contextual rules during visuospatial tasks requiring different movement amplitudes. In one experiment, we recorded the activity from two shoulder muscles as 14 participants (6 females) reached toward targets that appeared at different distances from the reaching hand. Increasing the reaching distance facilitated the generation of frequent and large express visuomotor responses. This suggests that both the direction and amplitude of veridical hand-to-target reaches are encoded along the putative subcortical express pathway. In a second experiment, we modulated the movement amplitude by asking 12 participants (4 females) to deliberately undershoot, overshoot, or stop (control) at the target. The overshoot and undershoot tasks impaired the generation of large and frequent express visuomotor responses, consistent with the inability of the express pathway to generate responses directed toward nonveridical targets as in the anti-reach task. Our findings appear to reflect strategic, cortically driven modulation of the express visuomotor circuit to facilitate rapid and effective response initiation during target-directed actions.

SIGNIFICANCE STATEMENTExpress (∼90 ms) arm muscle responses that are consistently tuned toward the location of visual stimuli suggest a subcortical contribution to target-directed visuomotor behavior in humans, potentially via the tecto-reticulo-spinal pathway. Here, we show that express muscle responses are modulated appropriately to reach targets at different distances, but generally suppressed when the task required nonveridical responses to overshoot/undershoot the real target. This suggests that the tecto-reticulo-spinal pathway can be exploited strategically by the cerebral cortex to facilitate rapid initiation of effective responses during a visuospatial task.
The importance of transparent exopolymer particles over ballast in determining both sinking and suspension of small particles during late summer in the Northeast Pacific Ocean
Authors: Romanelli Elisa , Sweet Julia , Giering Sarah Lou Carolin , Siegel David A. , Passow Uta
Published: September 2023

Gravitational sinking of particles is a key pathway for the transport of particulate organic carbon (POC) to the deep ocean. Particle size and composition influence particle sinking velocity and thus play a critical role in controlling particle flux. Canonically, sinking particles that reach the mesopelagic are expected to be either large or ballasted by minerals. However, the presence of transparent exopolymer particles (TEP), which are positively buoyant, may also influence particle sinking velocity. We investigated the relationship between particle composition and sinking velocity during the Export Processes in the Ocean from RemoTe Sensing (EXPORTS) campaign in the Northeast Pacific Ocean using Marine Snow Catchers. Suspended and sinking particles were sized using FlowCam for particle imaging, and their biogeochemical composition was assessed by measuring the concentration of particulate organic carbon (POC) and nitrogen, particulate inorganic carbon, biogenic and lithogenic silica, and TEP. Sinking fluxes were also calculated. Overall, both suspended and sinking particles were small (<51 μm, diameter) in this late summer, oligotrophic system. Contrary to expectation, the ratio of ballast minerals to POC was higher for suspended particles than sinking particles. Further, suspended particles showed TEP-to-POC ratios three times higher than sinking particles. These ratios suggest that TEP content and not ballast dictated whether particles in this system would sink (low TEP) or remain suspended (high TEP). Fluxes of POC averaged 4.3 ± 2.5 mmol C m−2 d−1 at 50 m (n = 9) and decreased to 3.1 ± 1.1 mmol C m−2 d−1 at 300–500 m (n = 6). These flux estimates were slightly higher than fluxes measured during EXPORTS with drifting sediment traps and Thorium-234. A comparison between these approaches illustrates that small sinking particles were an important component of the POC flux in the mesopelagic of this late summer oligotrophic system.
Multiple human activities in coastal benthic ecosystems: Introducing a metric of cumulative exposure
Authors: Dreujou Elliot , Beauchesne David , Daigle Rémi M. , Carrière Julie , Noisette Fanny , McKindsey Christopher W. , Archambault Philippe
Published: September 2023

Co-occurring anthropogenic activities influence coastal ecosystems around the world. Notions of ecological exposure are promising indicators to better understand environmental status and enhance ecosystem protection. This study characterized anthropogenic exposure in the context of multiple human activities on coastal benthic ecosystems at a scale of <100 km. Using a particle diffusion model and fishing event data, we developed an exposure index for seven human activities (aquaculture, artificial structures, dredging, fisheries, runoff, sewers and shipping) in a Canadian industrial harbour area. A generally low cumulative exposure was obtained, with the highest values observed directly in front of the city and industrial areas. Derived exposure indices explained a portion of the benthic community structure (R2 = 0.22), suggesting an ecological link between the exposure of species and their vulnerability to human activities. Such tools are relevant in data-poor environments where proxies are required to assess the state of an ecosystem, facilitating the application of ecosystem-based management.
Rebalancing polyamine levels to treat Snyder–Robinson syndrome
Authors: Gilmour Susan K
Published: September 2023

Snyder–Robinson syndrome (SRS) is a rare genetic disorder characterized by intellectual disability and delayed development beginning early in childhood. It was first described in a single family in 1969 as a sex‐linked disorder (Snyder & Robinson, 1969) and has since been only identified in less than 100 individuals worldwide. Inherited in an X‐linked recessive pattern, SRS has only been identified in males thus far. Snyder–Robinson syndrome primarily affects the nervous system and skeletal tissues and is caused by loss‐of‐function mutations in the gene encoding spermine synthase (SMS), a polyamine biosynthesis enzyme. Affected males display a collection of clinical features including intellectual disability ranging from mild to profound, speech and vision impairment, osteoporosis, hypotonia, and increasing loss of muscle tissue with age, kyphoscoliosis, seizures, and distinctive facial features including a prominent lower lip and facial asymmetry. Currently, there is no cure or treatment for this debilitating disorder aside from symptom management.
Pengaruh Pemberian Gymnastic Exercise Terhadap Keseimbangan Anak Usia 11-12 Tahun di SD N 03 Banjarharjo Kabupaten Karanganyar
Authors: Jaya Dhika Elang , Soenyoto Tommy
Published: September 2023

Physical education learning Physical education learning at SD N 03 Banjarharjo was disrupted due to the covid-19 outbreak that hit the world, this made learning abolished which resulted in physical education learning being entirely done online. This makes the lack of balance and other activities. The purpose of this study was to determine the effect of giving gymnastics exercise on the balance of children aged 11 to 12 years at SD N 03 Banjarharjo. The method used in this research is experimental. experiment. The research method used to find the effect of certain treatments on others under controlled conditions. This study uses the One-Group Pretest Posttest DesignFrom the results of the study, it can be seen that based on the frequency distribution in the categorization of assessments, it can be seen that the data on balance skills skills of SDN 03 Banjarharjo students aged 11-12 years are 3 students (9%%) very good category, as many as 8 students (24.3%) good category, as many as 16 students (48.5%) in good enough category, as many as 6 students (18.2%) in poor category, and as many as 0 students (0%) in very poor category.

From this study it can be concluded that there is a significant effect of gymnastics training on improving the balance of children aged 11-12 years at SDN 03 Banjarharjo, with t count 4.370 > t table 2.040 and sig 0.000 <0.05. The mean result of the pretest was 0.92 seconds and the posttest was 3.53 seconds. This shows that the average travel time for the balance skills test after treatment is longer, which means there is an increase in the balance skills of children aged 11-12 years at SDN 03 Banjarharjo. In this study, the product moment result was 0.617 which showed a positive effect. Suggestions for physical education teachers can use the results of this study as a guide to improve student balance at SD N 03 Banjarharjo.
Penerapan Strategi Pembelajaran dalam Materi Praktik Penjas pada Masa Pandemi di SMP Negeri se Kecamatan Temanggung
Authors: Haiah Ryza Nadzifatul , Aji Putra Ranu Baskora
Published: September 2023

The problem of this research is how to apply learning strategies in Physical Education practice material during the pandemic at State Junior High Schools throughout the Temanggung District. Objectives through the application of learning strategies. Descriptive qualitative research method. Data analysis uses data reduction, data presentation, concluding. The results of the study are online according to the pandemic period. The results of the study concluded that the application of learning strategies in physical education practice material during the pandemic was still not by basic competencies, especially in guided practice material, it still seemed less well implemented due to certain obstacles
Pembinaan Prestasi Olahraga Atletik di Kabupaten Demak
Authors: Purnama Adi Indra , Raharjo Hermawan Pamot
Published: September 2023

This study aims to determine the development of athletic sports achievement in Demak Regency. The method used is a combination of quantitative and qualitative with a population of 12 athletes and 10 coaches. The sample used for all athletes and coaches in Demak Regency found 22 people. The test instrument used observation, questionnaires and interviews. The analysis technique uses the score percentage formula and the descriptive category table percentage from Anas Sudjiono 2012. The results show the moderate category with a percentage of 31.81%: (1) coaching athletic sports achievement in Demak district based on the athlete's point of view is in the good category with a percentage of 50% . (2) the development of athletic sports achievements in Demak Regency based on the administrator's/coach's point of view is in the moderate category with a percentage of 50%. Based on the results of data analysis, description of research results, and discussion, it can be concluded that the development of athletic sports achievements in Demak Regency from the point of view of coaches/managers and athletes still has obstacles in facilities and infrastructure that are still incomplete and athletic sports development in Demak Regency is still in progress. "medium" category.
Survei Pembinaan Prestasi Atlet Renang di Pemalang Shark Swimming Club Tahun 2021
Authors: Anjasmoro Muslimin Satrio , Soenyoto Tommy
Published: September 2023

The results of this study indicate that the swimming athlete coaching program includes theoretical and practical aspects with reference to the program that has been prepared by the coach, namely the long-term program. The use of this longterm training program can make it easier for coaches to control athlete development. The coaching program that the coach provides also includes the mental aspect, namely by providing reaction and mindset exercises so that athletes do not feel afraid when participating in competitions. Then from the skill aspect, the trainer provides swimming exercises on land and anaerobic on land. And from the physical aspect, the trainer provides additional training, namely running and fitness to maintain athlete fitness. Management at the club still has many shortcomings, especially in the area of funding. Most of the income is obtained only from donations from athletes so that it is only sufficient for internal needs. The infrastructure of the coaching program still uses swimming pools in privately owned tourist attractions, so the coaching takes visitors away from 14.00-17.00. From the results of the study, it is known that the achievements at Pemalang Shark Swimming Club are always consistent in winning in every championship they participate in.
A Method for Evaluation of Streetscapes: Relationship between Visual Entropy and Interesting Streetscape
Authors: Karimimoshaver Mehrdad , Khazaei Fereshteh
Published: September 2023

The present research studies the complexity of urban facades, which is related to the visual diversity and correlation of the components of urban facades. It studies how the complexity of urban facades affects their desirability amongst citizens and what their preferences are when it comes to facade complexity. In addition, it addresses the complexity of urban facades in both quantitative and qualitative forms and investigates the relationship between quantitative and qualitative data and the desirability of using the correlation analysis method in urban facades.

To obtain quantitative data, a survey was conducted on Nowshahr citizens, and the data was analyzed through MATLAB software. The data obtained is the image entropy, which indicates the number of image irregularities. The results indicated that the Nowshahr citizens prefer the second complexity level, then the first complexity level, followed by the third complexity level, and finally the fourth complexity level, respectively.

There is a slight correlation in the results of the quantitative-qualitative data comparison. Therefore, using entropy as a measure of complexity cannot be confirmed in this study, and further research is needed.
Research on the Improvement of Service Quality in the Service Industry-Perspectives of Customer Relationship Management
Authors: Yu Chien Chung , Liu Chun Chu
Published: September 2023

Customer relationship management is an important strategy for the service industry to maintain its competitiveness. By integrating all business indicators including marketing, service process, quality management, after-sales care, brand image, etc., it can gain customer loyalty and provide customized Serve. In the face of such a fierce competitive environment, enterprises must be able to grasp customer needs if they want to continue to make profits. Therefore, they must rely on customer relationship management and emphasize the lifetime value of customers. In order to understand how much the leisure hotel industry attaches importance to customer relationship management, and to effectively summarize the applicable customer relationship management strategies, this article selects the most important indicators of customer relationship management through twelve senior experts in the leisure hotel industry. The ranking of the importance of the indicators is used as a suggested strategy for leisure hotel operators to operate customer relationship management in this study.
Perils of Auto-Population of Newborn EHR With Maternal Intimate Partner Violence History
Authors: Lamar Casey E. , Jain Deepak , Schmitz Kristine H.
Published: September 2023

In 2020, the 21st Century Cures Act was enacted, mandating that patients have access to their electronic health record. This has the potential to benefit both patients and clinicians by increasing communication, transparency, and patient autonomy. However, with the onset of the act, a number of unintended consequences of the act have been identified. Presently, we discuss a case where documentation of intimate partner violence and the safety plan documented in a mother’s electronic health record automatically populated her newborn’s admission note. This confidential information inadvertently became accessible to the perpetrator: the infant’s father.
Konwergencja struktur gospodarczych krajów Europy Środkowo-Wschodniej w ramach Unii Europejskiej
Authors: Markowski Łukasz
Published: September 2023

Objective: To assess the similarity of the economic structures of Central and Eastern Europe countries within the European Union.Research Design & Methods: The study was conducted with the use of an hierarchical cluster analysis for the years 2004 and 2019.Findings: The research uncovered signs of both divergence and convergence. On the one hand, attention should be paid to the increased diversification of economic sub-sectors, a fairly clear division of all EU members into two blocks of countries (old countries and CEE countries) or small but positive changes in the average gross value added in economic sub-sectors in the countries. At the same time, the Euclidean distances between the CEE countries and the “model” structure consisting of 12 euro area countries have decreased, which indicates convergence. However, comparing the situation of all CEE countries, it cannot be unequivocally stated that the adoption of the euro had a noticeable impact on the convergence of the economic structure of a given country with the structure of the old EU countries that formed this group. However, this remains a partial assessment of real convergence and it is not definitive.Implications / Recommendations: Based on the conducted research, it is difficult to formulate definitive conclusions. The similarity of gross value added structures within the EU reflects various processes and phenomena taking place in economies that are characterised by both convergence and divergence tendencies (labour productivity, wage level, consumption, savings, situation on the labour market, investment inflow, foreign trade, synchronisation of business cycles). This is why participation in the common market and monetary union must be supported by institutional and regulatory reforms. All the observed divergence aspects are a premise for reconsidering economic policies that should foster the convergence of the GDP structures of the CEE countries. The impulse associated with the process of European integration could shape different development trajectories for individual countries.Contribution: The research presented makes it possible to assess the convergence of the CEE countries. This is a very important issue in the context of new challenges for EU economies, such as the effects of the pandemic and war in Ukraine, and in view of the inadequacy of the official convergence criteria to the macroeconomic reality.
Model for the Development of Absorptive Capacity in Incubated Companies
Authors: Miranda Ana Lucia Brenner Barreto , Nodari Cristine Hermann , Guimarães Luciana Gondim de Almeida
Published: September 2023

This study proposed a model for the development of absorptive capacity in incubated business, and their impacts on the innovativeness and organizational performance of companies incubated in the Brazilian context. The research was carried through the application of a questionnaire with incubator managers of Brazilian companies, where 141 respondents participated. Additionally, in the data analysis, Structural Equation Modeling was used. The following were perceived as precursors to the use of knowledge: the knowledge of professionals and assistance in capturing knowledge. Through these relationships, Potential Absortive Capacity had a strong relationship with Received Absortive Capacity, which demonstrated an excellent relationship with innovativeness and organizational performance. These findings allow the development of incentive policies that lead to assertive incubated companies in Brazil, in addition to academically advancing the discussion on the combination of characteristics that are necessary and must be developed in incubated companies through the proposed model.
Diretivas antecipadas de vontade na perspectiva da população idosa de um município do meio oeste catarinense
Authors: Vanzella Gustavo Scherer , Souza Isadora Carolina Duarte de , Ferreira Juliano Cesar , Beltrame Vilma , Cetolin Sirlei Favero , Bonamigo Elcio Luiz
Published: September 2023

Resumo Objetivo Analisar o conhecimento da pessoa idosa em um município do meio oeste catarinense acerca da elaboração das Diretivas Antecipadas de Vontade (DAV), a sua preferência em relação aos modelos de preenchimento e a escolha do representante que irá substitui-la na tomada de decisão. Método Estudo transversal realizado por meio da disponibilização aos participantes de dois modelos de DAV para preenchimento e aplicação de um questionário sobre conhecimento, aceitação e avaliação do dispositivo. Resultados A maioria dos participantes (85,63%) desconhecia as DAV; 98,13% desconheciam os modelos do documento; 100% consideraram bom ou aceitável o modelo 1, mais completo; 66,88% indicaram um filho como representante legal. Questionados sobre a importância da elaboração, disponibilização à população e aprovação de lei que regulamente esse direito, as respostas foram afirmativas, respectivamente, para 91,88%, 91,25% e 91,25% dos participantes. Apenas 5% dos respondentes apontaram dificuldades no entendimento dos modelos, sendo a “linguagem” o item de maior dificuldade. Conclusão A maioria das pessoas idosas desconhecia os modelos de DAV, mas referiram o modelo 1, considerando-o bom ou aceitável. A maioria não teve dificuldades no entendimento e reconheceu a importância da elaboração e disponibilização das DAV à população, assim como a necessidade de uma lei para regulamentar esse direito. Observou-se uma alta proporção de participantes indicando um filho como representante legal, enfatizando a importância de envolver a família nesse processo. Esses resultados ressaltam a necessidade de conscientizar as pessoas idosas sobre as DAV e disponibilizar modelos claros e abrangentes.
Psychometric properties and reliability of the Brazilian version of Parent Attitudes about Childhood Vaccine (PACV-BR)
Authors: Santos Júnior Claudio José dos , Silva Maria Rosa da , Costa Paulo José Medeiros de Souza
Published: September 2023

ABSTRACT Objective: To evaluate the psychometric properties and reliability of the Brazilian version of the tool Parent Attitudes about Childhood Vaccine (PACV-BR). Methods: The sample included 110 parents of children up to two years old served by Family Health Basic Units. The tool's internal consistency and factor validity were respectively assessed by Cronbach's alpha and exploratory factor analysis (EFA). The test-retest reliability was assessed by the intraclass correlation coefficient (ICC). Results: The EFA results indicated a proper structural adequacy of the PACV-BR (15 items and two factors). The reliability generated Cronbach's alpha values between 0.715 and 0.854 for the items, of 0.918 for the tool as a whole, of 0.877 for factor 1 and of 0.825 for factor 2, in addition to an ICC of 0.984. Conclusions: The PACV-BR showed evidence of construct validity and reliability.
Nota de passagem no perfil de extensão vocal de coristas: estudo preliminar de frequência e intensidade
Authors: Cardoso Nathália Suellen Valeriano , Brito Tatiany Cíntia da Silva , Gomes Adriana de Oliveira Camargo
Published: September 2023

RESUMO Objetivo Analisar a nota de passagem no perfil de extensão vocal de coristas, pela identificação das frequências fundamentais e intensidades, tanto na mudança para o registro agudo quanto para o grave, comparando-as, por naipe. Método Participaram 67 coristas, com média de idade de 27,79 (±7,50) anos, dos naipes: soprano (n=20), contralto (n=17), tenor (n=15) e baixo (n=15). Para coleta e análise dos dados utilizou-se o software Vocalgrama (CTS Informática) no qual foi realizada a gravação da emissão da vogal /Ɛ/ em glissando ascendente e descendente, até às frequências mais grave e mais aguda, nas intensidades mais fraca e mais forte possíveis. Resultados Foram identificados os valores das frequências e respectivas intensidades das notas de passagem nas emissões ascendentes e descendentes fortes e fracas nos quatro naipes. Houve maior ocorrência de identificação de quebra nas vozes agudas, comparativamente às mais graves. Os valores médios das frequências encontradas foram correspondentes a notas diferentes das estabelecidas na literatura para todos os naipes. Conclusão As notas de passagem identificadas no perfil de extensão vocal de coristas, a partir de suas frequências e intensidades, obtiveram maior ocorrência nos naipes soprano e tenor, comparativamente ao contralto e baixo, nas mudanças para os registros graves e agudos.
Artificial Intelligence in Lung Cancer Imaging: From Data to Therapy
Authors: Cellina Michaela , De Padova Giuseppe , Caldarelli Nazarena , Libri Dario , Cè Maurizio , Martinenghi Carlo , AlÃ¬ Marco , Papa Sergio , Carrafiello Gianpaolo
Published: September 2023

Lung cancer remains a global health challenge, leading to substantial morbidity and mortality. While prevention and early detection strategies have improved, the need for precise diagnosis, prognosis, and treatment remains crucial. In this comprehensive review article, we explore the role of artificial intelligence (AI) in reshaping the management of lung cancer. AI may have different potential applications in lung cancer characterization and outcome prediction. Manual segmentation is a time-consuming task, with high inter-observer variability, that can be replaced by AI-based approaches, including deep learning models such as U-Net, BCDU-Net, and others, to quantify lung nodules and cancers objectively and to extract radiomics features for the characterization of the tissue. AI models have also demonstrated their ability to predict treatment responses, such as immunotherapy and targeted therapy, by integrating radiomic features with clinical data. Additionally, AI-based prognostic models have been developed to identify patients at higher risk and personalize treatment strategies. In conclusion, this review article provides a comprehensive overview of the current state of AI applications in lung cancer management, spanning from segmentation and virtual biopsy to outcome prediction. The evolving role of AI in improving the precision and effectiveness of lung cancer diagnosis and treatment underscores its potential to significantly impact clinical practice and patient outcomes.
Plant-Based Approaches for Rheumatoid Arthritis Regulation: Mechanistic Insights on Pathogenesis, Molecular Pathways, and Delivery Systems
Authors: Bhoi Anita , Dwivedi Shradha Devi , Singh Deependra , Keshavkant S. , Singh Manju Rawat
Published: September 2023

Rheumatoid arthritis (RA) is classified as a chronic inflammatory autoimmune disorder, associated with a varied range of immunological changes, synovial hyperplasia, cartilage destructions, as well as bone erosion. The infiltration of immune-modulatory cells and excessive release of proinflammatory chemokines, cytokines, and growth factors into the inflamed regions are key molecules involved in the progression of RA. Even though many conventional drugs are suggested by a medical practitioner such as DMARDs, NSAIDs, glucocorticoids, etc., to treat RA, but have allied with various side effects. Thus, alternative therapeutics in the form of herbal therapy or phytomedicine has been increasingly explored for this inflammatory disorder of joints. Herbal interventions contribute substantial therapeutic benefits including accessibility, less or no toxicity and affordability. But the major challenge with these natural actives is the need of a tailored approach for treating inflamed tissues by delivering these bioactive agentsat an appropriate dose within the treatment regimen for an extended periodof time. Drug incorporated with wide range of delivery systems such as liposomes, nanoparticles, polymeric micelles, and other nano-vehicles have been developed to achieve this goal. Thus, inclinations of modern treatment are persuaded on the way to herbal therapy or phytomedicines in combination with novel carriers is an alternative approach with less adverse effects. The present review further summarizes the significanceof use of phytocompounds, their target molecules/pathways and, toxicity and challenges associated with phytomolecule-based nanoformulations.
Temperature-dependent relationship between soil water content and electrical conductivity
Authors: Chen Zhixiang , Yu Huayue , Wan Yong , He Xingxing , Hua Longfei
Published: September 2023

Water content is a fundamental parameter for analysing soil composition and engineering behaviour. However, conceptual water content sensors cannot be used in high-temperature and high-pressure environments. To assess the suitability of using electrical conductivity (EC) as a predictor of soil water content at high temperatures, a series of EC and water content tests of clay and sand is conducted. Subsequently, the relationships between EC and water content at different temperatures are analysed. On this basis, the feasibility of eight EC models for predicting soil water content is discussed. The results show that temperature has a vital impact on the EC test of soil and EC is more sensitive to temperature than to dry density and water content. The temperature effect of soil EC is more obvious with an increase in dry density, and EC does not increase monotonically with an increase in temperature. The predicted effect of some EC models tends to be better with an increase in dry density or temperature. This research provides a reference for the EC test and model establishment of high-temperature soils.
Sugammadex and urinary retention after hysterectomy: A propensity-matched cohort study
Authors: De Lima Laporta Miranda Mariana L. , Ochs Kinney Michelle A. , Bakkum-Gamez Jamie N. , Schroeder Darrell R. , Sprung Juraj , Weingarten Toby N.
Published: September 2023

Postoperative urinary retention (POUR) is a well-known complication after gynecologic surgery. Our objective was to investigate whether the choice of pharmacologic agent for reversing neuromuscular blockade at the end of a hysterectomy is a risk factor for POUR. Among adult patients undergoing hysterectomy with general anesthesia from 2012 to 2017, those who received aminosteroid nondepolarizing neuromuscular agents followed by pharmacologic reversal were identified, and electronic health records were reviewed. The cohort was dichotomized into two groups by reversal agent: 1) sugammadex and 2) neostigmine with glycopyrrolate. The primary outcome, POUR, was defined as unplanned postoperative bladder recatheterization. A propensity-adjusted analysis was performed to investigate the association between POUR and reversal agent by using inverse probability of treatment weighting to adjust for potential confounders. We identified 1,974 patients, of whom 1,586 (80.3%) received neostigmine-glycopyrrolate and 388 (19.7%) received sugammadex for reversal of neuromuscular blockade. The frequency of POUR was 24.8% (393/1,586) after reversal with neostigmine-glycopyrrolate and 18.3% (71/388) with sugammadex. Results from the propensity-adjusted analysis showed that sugammadex was associated with a lower POUR risk than neostigmine-glycopyrrolate (odds ratio 0.53, 95% confidence interval [CI] 0.37 - 0.76, P < 0.001). A post hoc analysis of sugammadex recipients who received glycopyrrolate for another indication showed a higher POUR risk than among those who did not receive glycopyrrolate (odds ratio 1.86, 95% CI 1.07 - 3.22, P = 0.03). Use of sugammadex to reverse aminosteroid neuromuscular blocking agents is associated with decreased risk of POUR after hysterectomy. A potential mechanism is the omission of glycopyrrolate, which is coadministered with neostigmine to mitigate unwanted cholinergic effects.
2023 KAHRAMANMARAŞ DEPREMİ SONRASI SÜLEYMAN DEMİREL ÜNİVERSİTESİ HASTANESİNE BAŞVURAN DEPREMZEDE HASTALARIN ANALİZİ: RETROSPEKTİF BİR ÇALIŞMA
Authors: KAYA Vildan , COŞKUN ERÇELİK Hamide , ÇAMLICA Tuğçe , UYSAL Bayram Ali , TAŞCIOĞLU Erdoğan , BÜLBÜL Fatma , EKER Didem , ERCAN Sabriye , YAZKAN Rasih
Published: September 2023

Amaç

Bu çalışmada, 6 Şubat 2023'te Kahramanmaraş'ta

meydana gelen 11 il ile birçok yerleşim birimini etkileyen

depremler sonrası Göller Yöresindeki bir üniversite

hastanesine başvuran hastaların verilerinin ortaya

konması ve analiz edilmesi amaçlanmıştır.

Gereç ve Yöntem

Hastanemize, 7 Şubat 2023-7 Mayıs 2023 tarihleri

arasında başvuran depremzedelere ait elektronik

hasta kayıtları geriye dönük incelenmiştir. Hastaların

yaş, cinsiyet, uluslararası hastalık sınıflaması-10’a

göre tanı bölümü, başvurduğu klinik, hastanede yatış

süresi vb. tanımlayıcı bilgileri elde edilmiştir. Veriler;

tanımlayıcı istatistikler, Mann-Whitney U testi ve Monte

Carlo düzeltmeli ki-kare testi ile değerlendirilmiştir.

Bulgular

İlk üç aylık sürede 4104 depremzede hasta (kadın:

n=2340, %57; erkek: n=1764, %43) hastanemize

başvurmuştur. Hastaların yaşı 41,00 (19,00-57,00)

yıl olup %22,6 (n=927)’sı 18 yaşından küçük çocuk/

ergen, %28,85 (n=1184)’i 15-49 yaş aralığında üreme

çağındaki kadın ve %14,1 (n=578)’i 65 yaşının üstündeki

yaşlı bireydir. Başvuruların %2,1 (n=86)’i 112 acil

ambulansı ile hastanemize sevk edilen hastalardan

oluşmuştur. Hastaların %72,4 (n=2972)’ü poliklinik,

%22,4 (n=920)’ü acil, %4,8 (n=199)’i klinik ve %0,3

(n=13)’ü yoğun bakım hizmeti almıştır. 112 acil ambulansı

ile hastanemize sevk edilen hastaların baş-

vuru yaptığı bölümler farklılık göstermiştir (p˂0,05).

Hastaların %43,7 (n=1793)’si birinci ayda, %37,4

(n=1534)’ü ikinci ayda ve %18,95 (n=777)’i üçüncü

ayda sağlık hizmetinden yararlanmıştır. Aylık bazda

değerlendirildiğinde başvuru türü ve tanı kodlamaları

değişim göstermiştir (p˂0,05).

Sonuç

Deprem gibi doğal afetlerden sonra sunulan sağlık

hizmeti ve sağlık hizmetine ulaşma ihtiyacı zamana

göre değişim göstermektedir. Merkez üssü bulunduğumuz

ilden yaklaşık 800 km ötede olan depremin

hastanemizde oluşturduğu bulgular, afet durumlarında

sunulan sağlık hizmetinin planlanması ve yapılandırılabilmesi

yönünden önemlidir.