bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Pengaruh Cognitive Image, Affective Image, Dan Unique Image Terhadap Keputusan Berkunjung Dengan Minat Kunjungan Sebagai Mediasi (Studi Pada Objek Wisata Pantai Menganti Kebumen)
Authors: Wardhana Abimanyu Wisnu , Munas Bambang 
Published: September 2024

The purpose of this study to analyze the effect of cognitive image, affective image and unique image on interest of visits and the impact on visiting decision. The population used in this study are tourist who had visited the Menganti Beach tourist attraction, Kebumen Regency, at least once. The number of samples used in this study were 110 respondents. The method of data collection is done through a questionnaire. This study uses Structural Equation Modeling (SEM) analysis techniques with AMOS 22.0 analysis tool. The results of this study show that cognitive image has a positive and significant effect on interest of visits, cognitive image does not have significant on visiting decision, affective image has a positive and significant effect on interest of visits, affective image does not have significant on visiting decision, unique image has a positive and significant effect on interest of visits, unique image does not have significant on visiting decision, and interest of visits has a positive and significant effect on visiting decision.Keywords: Expectancy Theory, Cognitive Image, Affective Image, Unique Image, Visit Intention, Visiting Decision
Measurement of blood pressure in rats: Invasive or noninvasive methods?
Authors: Kapsdorferová Viktória , Grešová Soňa , Švorc Pavol 
Published: September 2024

AbstractExperiments should always be based on control values. This assumption fully applies to cardiovascular parameters, such as heart rate (HR) and blood pressure (BP), which are highly sensitive to various external and internal stimuli and can already be significantly altered when an experiment begins. Therefore, it is necessary to determine which values are defined as a starting point (i.e., control and baseline) or compare them with valid reference values if the goal is to evaluate the changes after experimental intervention. A generally accepted principle is a reciprocal relationship between BP and HR, in which one parameter affects the other and vice versa. BP can be measured using two methods—noninvasively (tail‐cuff) and invasively (telemetry, direct measurements of BP after introducing the sensor directly into the artery), and HR directly or by extrapolation from BP recordings. This study does not aim to evaluate the results of individual studies, but to review whether there are differences in control (baseline) BP values in normotensive and hypertensive male rats using invasive versus noninvasive methods, and to investigate whether there is a causal relationship between BP and HR in in vivo experiments with male rats.
Impact of different parameters on the outcome of vv-ECMO therapy in burn patients – a retrospective cohort study from a burn and high output ECMO center
Authors: Bingoel Alperen S. , Schlottmann Frederik , Plinke Clarissa , Dastagir Khaled , Obed Doha , Enechukwu Anieto , Dieck Thorben , Wellkamp Lukas , Hanke Jasmin Sarah , Kühn Christian , Ruhparwar Arjang , Krezdorn Nicco , Vogt Peter M. 
Published: September 2024

Abstract

Objectives
The treatment of acute respiratory distress syndrome (ARDS) in burn patients remains a major challenge. Veno-venous extracorporeal membrane oxygenation (vv-ECMO) is a standard treatment for severe ARDS today. But reports on survival outcome in burn patients remain variable in the literature. The aim of this study is to identify factors that may influence survival and therapy outcomes in this distinct patient population.

Methods
A single-center retrospective study was conducted in the burn intensive care unit (BICU). Inclusion criteria were the use of vv-ECMO for ARDS after burn injuries. The data analyzed included general medical data and various parameters from the BICU.

Results
Between January 2012 and December 2022, 21 consecutive adult patients were identified who underwent vv-ECMO treatment. Five patients (24 %) survived the therapy and could be discharged, and 16 patients (76 %) succumbed to their disease. A higher TBSA affected, lower pH in arterial blood gas analysis after 24 and 36 h, multiorgan dysfunction syndrome (MODS), renal insufficiency, and renal replacement therapy were significantly associated with a lethal outcome.

Conclusions
The data from the present study showed an overall mortality rate of 76 %, which is unsatisfactory compared to the literature. This could be explained by complicating factors such as MODS, renal failure, and renal replacement therapy. However, the indication for vv-ECMO must be adapted to the individual situation of the respective patient. Due to the additional higher risk for complications, the utilization of ECMO therapy should be reserved for specialized burn centers with an interdisciplinary setting.
Laboratory variables‐based artificial neural network models for predicting fatty liver disease: A retrospective study
Authors: Lv Panpan , Cao Zhen , Zhu Zhengqi , Xu Xiaoqin , Zhao Zhen 
Published: September 2024

Abstract

Background
The efficacy of artificial neural network (ANN) models employing laboratory variables for predicting fatty liver disease (FLD) remains inadequately established. The study aimed to develop ANN models to precisely predict FLD.

Methods
Of 12,058 participants undergoing the initial FLD screening, 7,990 eligible participants were included. A total of 6,309 participants were divided randomly into the training (4,415 participants, 70%) and validation (1,894 participants, 30%) sets for developing prediction models. The performance of ANNs was additionally tested in the testing set (1,681 participants). The area under the receiver operating characteristic curve (AUROC) was employed to assess the models’ performance.

Results
The 18-variable, 11-variable, 3-variable, and 2-variable models each achieved robust FLD prediction performance, with AUROCs over 0.92, 0.91, and 0.89 in the training, validation, and testing, respectively. Although slightly inferior to the other three models in performance (AUROC ranges: 0.89–0.92 vs 0.91–0.95), the 2-variable model showed 80.3% accuracy and 89.7% positive predictive value in the testing. Incorporating age and gender increased the AUROCs of the resulting 20-variable, 13-variable, 5-variable, and 4-variable models each to over 0.93, 0.92, and 0.91 in the training, validation, and testing, respectively.

Conclusions
Implementation of the ANN models could effectively predict FLD, with enhanced predictive performance via the inclusion of age and gender.
Content removal: the government-Google partnership
Authors: Akalonu Chinwendu Praise 
Published: September 2024

Abstract

Purpose
This study seeks to understand the relationship between a country's political system and its content removal request to Google. It also investigates the trends in content removal requests to Google over 11 years (2011–2021).

Design
The study uses secondary data derived from 2020 Google Transparency Report and Freedom House Report with information from 89 countries and three Google products – YouTube, Web search, and Blogger.

Findings
Countries with lower freedom scores (categorized as authoritarian) showed overall higher content removal requests as well as higher requests using reasons like national security and government criticism. Countries with higher freedom scores (categorized as libertarian) requested for more content removal using defamation. Results also show an increase in overall content removal overtime from 2011 to 2021.

Practical Implications
This study adds empirical evidence to the discourse on freedom of speech across countries. It also demonstrates the viability of online secondary data sources for empirical research purposes. It has implications for understanding global content moderation and its relationship with freedom of expression.

Social Implications
The study demonstrates the need to address the global decline in democracy across countries (both authoritarian and libertarian countries).

Originality Value
The study is one of the first to use Google’s Transparency report for post-publication censorship/ content moderation analysis.
Grundlagen der Gasfeuchte Teil 3 (Primäre Darstellung von Gasfeuchte)
Authors: Mitter Helmut 
Published: September 2024

KurzfassungIn der Gasfeuchte stehen zur messtechnischen Rückführung auf SI-Einheiten an oberster Stelle der Messkette sogenannte Feuchtegeneratoren zur primären bzw. fundamentalen Darstellung eines Referenzwertes. Zumeist werden solche Generatoren in nationalen metrologischen Instituten (NMI) bzw. in von einem NMI beauftragten designierten Institut oder Labor (DI) eingesetzt und ermöglichen die Darstellung von Feuchtereferenzwerten mit den kleinsten technisch realisierbaren Unsicherheiten. Es werden die wichtigsten Möglichkeiten zur fundamentalen Darstellung von Gasfeuchte vorgestellt und von der am häufigsten verwendeten Variante, sogenannten 2-Druck 2-Temperatur Generatoren in verschiedenen Versionen, die wichtigsten Unsicherheitsbeiträge skizziert.
Uso de Tecnología NFC equipado con geolocalización y código QR para control de asistencia en las PYMES
Authors: Saldaña Ochavano Wilmer , Cortez Vásquez Augusto , Li Chan Augusto 
Published: September 2024

En los últimos tiempos el uso de las tecnologías de la información ha propiciado cambios sustanciales en las dinámicas empresariales, especialmente en las PyMES(Pequeñas y Medianas Empresas). La tecnología NFC (Near Field Communication) es una forma de comunicación inalámbrica segura y ágil, de corto alcance que permite la transferencia de datos entre dispositivos compatibles, generalmente a una distancia de unos pocos centímetros. Se trata de una tecnología que es altamente segura y veloz, y que además resulta más económica que algunas alternativas como el control de acceso biométrico. El objetivo de esta investigación es diseñar un Sistema Web de Control de Asistencia de Personal haciendo uso de la Tecnología NFC con código QR. Esta solución unida a la geolocalización brinda beneficios como flexibilidad, seguridad, al mismo tiempo que obtiene información confiable y precisa de la ubicación (entrada y salida) y tiempo mediante sistema GPS, optimizando el tiempo, recursos y un soporte online que brinde información a la alta dirección sobre la asistencia y absentismo de sus colaboradores.
Medical Home Care for Children with Deafness and Hearing Problems
Authors: Khalsa Inderpreet Kaur , Chan Dylan K. 
Published: September 2024

BACKGROUND AND OBJECTIVES
Since 2001, the American Academy of Pediatrics (AAP) has advocated for improving the effectiveness of early hearing screening, diagnosis, and intervention (EHDI) and reducing hearing health disparities through the medical home model of care (MHMOC). However, the scope of the MHMOC and its components and potential disparities among US children with deafness or hearing problems (DHH) have not been identified.

METHODS
Data from the 2016 to 2020 National Survey of Children’s Health (N = 174 551) were analyzed, including 12 121 children with DHH, 171 523 children without DHH, and 38 722 with other special health needs (SHCN). Univariable statistics and multivariable logistic regression were used to analyze the association of hearing problems with medical home composite and components and cohort disparities.

RESULTS
After adjusting for sociodemographic characteristics, medical home care was less likely for children with DHH (adjusted odds ratio: 0.74; 95% confidence interval: 0.56–0.97) compared with children without DHH. Children with DHH and SHCN were also less likely to receive medical home care compared with other SHCN children (adjusted odds ratio: 0.71; 95% confidence interval: 0.55–0.92). Specific medical home components significantly less prevalent among children with DHH included family-centered care, ease of referrals, and effective care coordination, whereas a usual source for sick care was more prevalent, although not statistically significant.

CONCLUSIONS
Despite over two decades of efforts to improve EHDI through the medical home, rates of the MHMOC for children with DHH remain disparately low. Systems-level quality improvement efforts supporting the medical home will be necessary to allow the MHMOC to support early hearing detection and intervention (EHDI) systems.
Grade level differences in students' attitudes towards inclusion a peer with visual impairment in physical and sports education lessons
Authors: Švecová Daša , Nemček Dagmar , Wittmannová Julie 
Published: September 2024

AbstractThe objective of the study was to identify and compare differences in the attitudes of non-disabled students towards the inclusion of a peer with a visual impairment in physical and sport education (PSE) classes. The research sample comprised a total of 419 primary school students of the 6th grade (n = 96; 11.7 ± 0.54 years) 7th grade (n = 120; 12.7 ± 0.57 years), 8th grade (n = 109; 13.7 ± 0.55 years), and 9th grade (n = 94; 14.6 ± 0.52 years) level. A modified version of a CAIPE-R was used as a primary research method. Students of the 6th, 7th and 8th grades have more positive attitudes towards the inclusion of a peer with visual impairment in PSE lessons compared to the 9th grade students in social interactions area as well as in rules modifications area. The 6th, 7th, and 8th grades student groups showed significantly more positive social interaction attitudes compared to sport-specific attitudes. No significant differences were found between social interactions and sport-specific attitudes in the group of the 9th grade primary school students. Regarding the most appropriate solutions for the inclusion of students with visual impairment in PSE lessons, more information on attitudes towards inclusion is also needed from teachers and school management.
Synergistic prediction of penetration rate in Boukhadhra mining using regression, design of experiments, fuzzy logic, and artificial neural networks
Authors: Mebarkia Mohamed , Abdelmalek Asma , Aoulmi Zoubir , Louafi Messaoud , Tabet Abdelhak , Benselhoub Aissa 
Published: September 2024

The comparative analysis of predictive methodologies highlights the original contribution of this study in optimizing the prediction of Rate of Penetration (ROP) in mining drilling operations. The emphasis on employing advanced Artificial Neural Networks (ANN), fuzzy logic, and linear regression models provides new insights into enhancing predictive accuracy and operational efficiency in mining practices. This study aims to quantify the effects of three pivotal drilling parameters: compressive strength, rotational pressure, and thrust pressure on the rate of penetration, a critical performance metric in mining drilling operations. Additionally, the study seeks to develop and evaluate advanced predictive methodologies for predicting ROP. The effects of compressive strength, rotational pressure, and thrust pressure on the rate of penetration were investigated through a Design of Experiments (DOE) approach. Initially, the main effects and two-way interactions among these variables were identified using DOE. Subsequently, three predictive methodologies: linear regression, fuzzy logic, and artificial neural networks, were developed and evaluated to predict ROP based on the identified factors. The evaluation of predictive methodologies revealed that the ANN model demonstrated superior accuracy in predicting the ROP, achieving over 95 % accuracy. Additionally, the fuzzy logic model provided effective handling of nonlinearities in the data, while the linear regression model offered initial insights into the relationships between the variables. The application of advanced predictive methodologies: artificial neural networks, fuzzy logic, and linear regression to optimize the prediction of rate of penetration in mining drilling operations offers precise insights into drilling parameter interactions, enhancing operational efficiency and supporting informed decision making in mining practices.
Evaluating technology capability in strategy implementation and firm performance of the furniture manufacturing sector in Kenya
Authors: Were Jane Nasimiyu 
Published: September 2024

The object of the study is the performance of the furniture manufacturing sector in Kenya. The paper utilized descriptive and explanatory research design. The study targeted a population of 686 managerial staff and 195 CEOs in the furniture manufacturing sector. Structured questionnaires were distributed to the senior managers and a factor analysis was used to reduce the number of variables and establish the underlying constructs while analysis of moments of structures was applied to develop the theory.
Technology capability was found to explain 49 % of the variance in the firm performance. The fit indices suggested that the data was an adequate fit of the hypothesized model relating to technology capability and firm performance NFI=0.604, RFI=0.501, IFI=0.639, TLI=0.539 and CFI=0.634 with a p-value>0.05. In addition, the study found out that technology capability and firm performance had a positive and statistically significant contribution at 0.05 level of significance. This was depicted by the significance of the standardized regression coefficient of technology capability hypothesized path (β=0.878, S.E.=0.75, C.R.=11.743, and p-value<0.05). The findings also revealed that the size and age of the firm do not moderate technology capability in strategy implementation on firm performance. This was depicted by the significance of the standardized regression coefficient of firm size and firm age hypothesized path (β=-0.171, S.E.=2.015, C.R.=-0.085 and p-value>0.05). Therefore, the alternative hypothesis that size and age have a negative moderating contribution on firm performance was rejected at 0.05 level of significance.
To enhance a firm's performance in terms of profitability and growth, it is crucial to manage and sustain technology capabilities through an effective strategy implementation process. The study not only adds value to the existing body of knowledge in strategic management practice but points out that when implementing strategy, CEOs and senior managers should consider technology capability factors to improve the firm performance.
Artificial intelligence in personalized selection of surgical treatment tactics for bone metastases
Authors: Bukharov A. V. , Kurilchik A. A. , Barashev A. A. , Derzhavin V. A. , Yadrina A. V. , Erin D. A. , Elkhov D. O. , Aliev M. D. , Kaprin A. D. 
Published: September 2024

Introduction. Selection of surgical treatment tactics for patients with bone metastases is one of the important problems of modern oncology. In the majority of patients with metastatic bone lesions, surgical interventions are aimed at palliative treatment; however, in some cases of solitary metastases, radical resections with a reconstructive component can be performed. Lifespan prognosis associated with histological structure of malignant tumor is the main and crucial factor in determination of suitable type of surgical treatment.Aim. To create software for selection of surgical tactics treatment in patients with bone metastases.Materials and methods. Treatments of 715 patients who underwent surgical interventions for bone metastases of various locations were analyzed. In total, 780 surgeries were performed. Surgical interventions due to complex progression of bone metastases in the vertebral bones were performed in 48.5 % of cases, long bones in 247 (35 %) cases, pelvic bones in 81 (11 %) cases, thoracic bones in 40 (5.5 %) cases.Results. Complete elimination or significant reduction of pain syndrome after surgical treatment of bone metastases were observed in 629 (88 %) patients. Improved quality of life per the Karnofsky and Eastern Cooperative Oncology Group (ECOG) scales after surgery was observed in 633 (88.5 %) patients. Postoperative complications developed in 49 (7 %) patients, mostly of infectious type (21 (3 %) cases). Errors in selection of surgical treatment tactics were identified in 49 (7 %) cases. Overall 1-year survival was 52 %. Based on the results of analysis of international literature data and our own experience, treatment algorithm for this patient category was modernized, and 14-point lifespan prognosis scale was developed. Their use allowed to develop the BoneMetaLife software for determination of surgical treatment tactics for bone metastases.Conclusion. Adequate surgical tactics for treatment of bone metastases of various parts of the skeleton and favorable oncological prognosis improves patients’ quality of life and increases survival in patients with solitary metastases. Development of new treatment tactics based on patient lifespan prognosis and algorithms of surgical treatment will allow to decrease the probability of errors in selection of onco-orthopedic help and increase treatment effectiveness.
The reconstructive stage in the combined treatment of tumors of bones, soft tissues and skin
Authors: Safin I. R. , Rodionova A. Yu. , Rukavishnikov D. V. , Khasanov R. S. , Saifullin A. M. , Safin R. N. , Khalikov M. M. 
Published: September 2024

Introduction. Currently, a personalized approach is considered a priority in the treatment of malignant neoplasms of bones, skin and soft tissues. The decision on the treatment plan is formed by a multidisciplinary team of specialists: a surgeon, a chemotherapist, a radiotherapist. The active introduction of systemic therapy and new technologies in radiation therapy made it possible to ensure local and systemic control of the disease, which contributed to the expansion of indications for performing organ-preserving surgical interventions. In order to improve functional results, while observing the radicality of the intervention, the restoration of integumentary tissues, as well as anatomical structures, is carried out. According to various authors, the need for a reconstructive plastic component in surgical interventions on the musculoskeletal system and skin is 28–32 % for segmental resections of long bones, 30–42 % for operations on pelvic bones, 50–80 % for soft tissue sarcomas, 80 % for operations on the chest wall, when the skin is heated – 44,7 %.Aim. To study and present the results of combined treatment with reconstructive plastic surgery in patients with tumors of bones, skin and soft tissues.Materials and methods. The results of treatment and follow-up of 441 patients with locally advanced tumors of the skin, bones and soft tissues who received treatment in Republican Clinical Oncological Dispensary named after Prof. M.Z. Sigal from 2016 to 2023 were analyzed. The patients underwent surgical treatment with the implementation of the reconstructive plastic stage.Results. In accordance with the principles of a personalized approach, a method of reconstruction of a postoperative defect was chosen for all patients, taking into account the localization of the pathological focus, the volume of surgical intervention, and somatic status.Conclusion. Performing the reconstructive plastic stage in the surgical treatment of tumors of bones, soft tissues and skin is characterized by a low number of postoperative complications and good functional results, significantly reducing the risk of tumor recurrence and systemic progression due to compliance with the radicality of the intervention.