Search Results (87)

The psychometric properties of the Malay Suicidal Behaviors Questionnaire-Revised (SBQ-R) need to be tested as it is increasingly utilized, and there is a lack of a brief, validated scale to examine suicidal behaviors in Malaysia. A total of 713 and 715 undergraduates answered the English and Malay SBQ-R, respectively. Exploratory factor analysis derived a one-factor solution, with a total explained variance of 58.0% accounted for by the four items. Confirmatory factor analyses supported the one-factor model for the Malay SBQ-R, with acceptable fit indices (χ²/df = 0.451, comparative and Tucker–Lewis fit indices = ≥1.000, standardized root mean square residual = 0.014, root mean square error of approximation = 0.000, and 90% CI [0.000, 0.083]). Measurement invariance was achieved when comparing the SBQ-R between the English and Malay versions, indicating that both versions are similar in Malaysian undergraduates. Convergent validity was established through a strong correlation between the Malay SBQ-R and the Malay Yatt Suicide Attitude Scale (r = 0.74; p < 0.001). Good internal consistency was achieved for both the English (α = 0.83; ω = 0.85) and Malay (α = 0.81; ω = 0.84) versions. The Malay SBQ-R has adequate validity and reliability for use in Malaysian undergraduates. Full article

Cooperative MIMO communication systems play an important role in the development of future sixth-generation (6G) wireless systems incorporating new technologies such as massive MIMO relay systems, dual-polarized antenna arrays, millimeter-wave communications, and, more recently, communications assisted using intelligent reflecting surfaces (IRSs), and unmanned aerial vehicles (UAVs). In a companion paper, we provided an overview of cooperative communication systems from a tensor modeling perspective. The objective of the present paper is to provide a comprehensive tutorial on semi-blind receivers for MIMO one-way two-hop relay systems, allowing the joint estimation of transmitted symbols and individual communication channels with only a few pilot symbols. After a reminder of some tensor prerequisites, we present an overview of tensor models, with a detailed, unified, and original description of two classes of tensor decomposition frequently used in the design of relay systems, namely nested CPD/PARAFAC and nested Tucker decomposition (TD). Some new variants of nested models are introduced. Uniqueness and identifiability conditions, depending on the algorithm used to estimate the parameters of these models, are established. Two families of algorithms are presented: iterative algorithms based on alternating least squares (ALS) and closed-form solutions using Khatri–Rao and Kronecker factorization methods, which consist of SVD-based rank-one matrix or tensor approximations. In a second part of the paper, the overview of cooperative communication systems is completed before presenting several two-hop relay systems using different codings and configurations in terms of relaying protocol (AF/DF) and channel modeling. The aim of this presentation is firstly to show how these choices lead to different nested tensor models for the signals received at destination. Then, by capitalizing on these models and their correspondence with the generic models studied in the first part, we derive semi-blind receivers to jointly estimate the transmitted symbols and the individual communication channels for each relay system considered. In a third part, extensive Monte Carlo simulation results are presented to compare the performance of relay systems and associated semi-blind receivers in terms of the symbol error rate (SER) and channel estimate normalized mean-square error (NMSE). Their computation time is also compared. Finally, some perspectives are drawn for future research work. Full article

This study introduces an inventory model for manufacturing that prioritizes product quality and cost efficiency. Utilizing fuzzy logic and mathematical programming, the model integrates fuzzy numbers to describe uncertainties associated with manufacturing costs and quality control parameters. The model extends beyond conventional inventory systems by incorporating a dynamic mechanism to halt production, employing fuzzy decision variables to optimize the economic order quantity and minimize total costs. Key innovations include the application of approaches related to graded mean integration for defuzzification and the use of Kuhn–Tucker conditions to ensure optimal solutions under complex constraints. These approaches facilitate the precise management of production rates, inventory levels, and cost factors, which are essential in achieving a balance between supply and demand. A computational analysis validates the model’s effectiveness, demonstrating cost reductions while maintaining optimal inventory levels. This underscores the potential of integrating fuzzy arithmetic with traditional optimization techniques to enhance decision making in inventory management. The model’s adaptability and accuracy indicate its broad applicability across various sectors facing similar challenges, offering a valuable tool for operational managers and decision makers to improve efficiency and reduce waste in production cycles. Full article

Background/Objectives: The Disabilities of the Arm, Shoulder, and Hand (DASH) questionnaire is a widely employed self-report tool for assessing upper extremity function. The aim of this study was to assess the psychometric properties of the Serbian version of the DASH by determining its criterion and construct validity, as well as internal consistency. Methods: This cross-sectional study was conducted among patients with hand and wrist disabilities at the Institute for Orthopedics “Banjica”, Serbia. The psychometric properties of the Serbian version of the DASH were analyzed through an examination of its factorial structure and internal consistency. The DASH consists of 30 items, 24 of which assess function, 21 of which focus on physical function and three on social/role function. The remaining six items evaluate symptoms related to pain, tingling/numbness, weakness, and stiffness. Results: A total of 297 patients were included in the study. The mean age was 47.4 ± 16.8 years, with 50.5% males. Three models were assessed to determine the reliability and validity of the questionnaire across different domains. Model 1 examined a single-factor structure. In Model 2, the items were divided into two domains: Physical Function and Psychosocial/Symptoms. In Model 3, items were subdivided into three domains: Physical Function, Symptoms, and Psychosocial. All models demonstrated an excellent internal consistency with a Cronbach’s alpha > 0.9 for most domains. The values for the fit indices Tucker–Lewis index (TLI) and Comparative-Fit Index (CFI) were above their cut-off criteria of 0.9, while the Root Mean Square Error of Approximation (RMSEA) and Standardized Root Mean Square Residual (SRMR) were below the suggested value of 0.06, indicating an excellent level of models fit. Standardized factor loadings were statistically significant (p < 0.05). Conclusions: The present study provided the evidence for the appropriate metric properties of the Serbian version of the DASH. Results support both the unidimensional and multidimensional structures of the DASH. Full article

Background: This study aimed to analyze the psychometric properties of the Brief-COPE Inventory and to determine its concurrent validity by examining its association with perceived stress among Peruvian nurses. Methods: A psychometric study was conducted with 434 Peruvian nurses to evaluate the psychometric properties of the Brief-COPE Inventory through confirmatory factor analysis. Three stepwise variable selection regression models were implemented. Results: The three-factor model of the Brief-COPE Inventory demonstrated adequate fit indices (root mean square error of approximation = 0.052, standardized root mean square residual = 0.068, and both the comparative fit index and the Tucker–Lewis index = 0.95). Additionally, the factors were significantly correlated (p < 0.001), and the reliability was adequate (ω = 0.90). Nurses reported a medium level of perceived stress, with associated factors including having received stress management training, fear of COVID-19, and problem-focused coping strategies (p < 0.05). Conclusion: This study confirms that the Brief-COPE Inventory is a valid tool for measuring coping strategies among Peruvian nurses due to its good model fit, excellent reliability, and concurrent validity with perceived stress. However, further research is needed to assess its validity in the specific areas of performance perceived by nursing professionals. Full article

The aim of this study is to examine the components of multicultural competence among pre-service teacher students in Thailand and to develop and assess the reliability of a model of multicultural competence for pre-service teacher students in Thailand. Multistage stratified random sampling was utilized to recruit 600 pre-service teacher students from undergraduate education programs at the Faculty of Education in Thailand. Data were collected through self-report questionnaires. The data analysis employed descriptive statistics and second-order confirmatory factor analysis (CFA). The findings indicate that multicultural competence among pre-service teacher students comprises three components: cultural awareness, cultural knowledge, and personal skills. Furthermore, this study identified that the model of multicultural competence among pre-service teacher students demonstrated good fit indices for the modified model (χ² = 30.902, df = 21, p-value = 0.0753, χ²/df = 1.472; root mean square error of approximation (RMSEA) = 0.028; standardized root means square residual (SRMR) = 0.013; Tucker–Lewis index (TLI) = 0.996; comparative fit index (CFI) = 0.999). Based on these findings, effective teaching in diverse environments necessitates a thorough understanding of multicultural competence. Full article

Background and objectives: Automated drug dispensing systems (ADDs) have been introduced to improve the efficiency of dispensing and patient safety. The available questionnaires measure patient satisfaction with particular aspects of ADDs. Also, the level of patient satisfaction with ADDs is not widely established. This study aimed to develop and validate a novel questionnaire to assess patient satisfaction with ADDs. Methods: Content and construct validity procedures were used to validate the 20-item questionnaire with four domains, including pharmacy administration, dispensing practice, patient education, and the dispensing system. Two hundred consenting participants took part in this study, from those who visited the outpatient pharmacy in a government hospital. Results: The internal consistency of all four scale items shows acceptable reliability (>0.7). In the exploratory factor analysis, three items were removed due to poor factor loading and cross-loading. In the confirmatory factor analysis, the model has acceptable fit indices, including the comparative fit index (0.937), Tucker–Lewis’s index (0.924), standardized root mean square residual (0.051), root mean square error of approximation (0.057), and χ²/df (1.67). The convergent and discriminant validity were established, since the average variance extracted (AVE) was ≥0.5 and the squared correlation (SC) values of one construct with other constructs were less than the AVE of the specific construct. Conclusion: This study offered a reliable and valid 17-item questionnaire incorporating a multi-dimensional four-factor model to evaluate patient satisfaction with ADDs. The validated questionnaire can be utilized to explore patients’ perspectives on ADDs. Full article

Modular control of the muscle, which is called muscle synergy, simplifies control of the movement by the central nervous system. The purpose of this study was to explore the synergy in both the frequency and movement domains based on the non-negative Tucker decomposition (NTD) method. Surface electromyography (sEMG) data of 8 upper limb muscles in 10 healthy subjects under wrist flexion (WF) and wrist extension (WE) were recorded. NTD was selected for exploring the multi-domain muscle synergy from the sEMG data. The results showed two synergistic flexor pairs, Palmaris longus–Flexor Digitorum Superficialis (PL-FDS) and Extensor Carpi Radialis–Flexor Carpi Radialis (ECR-FCR), in the WF stage. Their spectral components are mainly in the respective bands 0–20 Hz and 25–50 Hz. And the spectral components of two extensor pairs, Extensor Digitorum–Extensor Carpi Ulnar (ED-ECU) and Extensor Carpi Radialis–Brachioradialis (ECR-B), are mainly in the respective bands 0–20 Hz and 7–45 Hz in the WE stage. Additionally, further analysis showed that the Biceps Brachii (BB) muscle was a shared muscle synergy module of the WE and WF stage, while the flexor muscles FCR, PL and FDS were the specific synergy modules of the WF stage, and the extensor muscles ED, ECU, ECR and B were the specific synergy modules of the WE stage. This study showed that NTD is a meaningful method to explore the multi-domain synergistic characteristics of multi-channel sEMG signals. The results can help us to better understand the frequency features of muscle synergy and shared and specific synergies, and expand the study perspective related to motor control in the nervous system. Full article

Deep convolutional neural networks have a large number of parameters and require a significant number of floating-point operations during computation, which limits their deployment in situations where the storage space is limited and computational resources are insufficient, such as in mobile phones and small robots. Many network compression methods have been proposed to address the aforementioned issues, including pruning, low-rank decomposition, quantization, etc. However, these methods typically fail to achieve a significant compression ratio in terms of the parameter count. Even when high compression rates are achieved, the network’s performance is often significantly deteriorated, making it difficult to perform tasks effectively. In this study, we propose a more compact representation for neural networks, named Quantized Low-Rank Tensor Decomposition (QLTD), to super compress deep convolutional neural networks. Firstly, we employed low-rank Tucker decomposition to compress the pre-trained weights. Subsequently, to further exploit redundancies within the core tensor and factor matrices obtained through Tucker decomposition, we employed vector quantization to partition and cluster the weights. Simultaneously, we introduced a self-attention module for each core tensor and factor matrix to enhance the training responsiveness in critical regions. The object identification results in the CIFAR10 experiment showed that QLTD achieved a compression ratio of 35.43×, with less than 1% loss in accuracy and a compression ratio of 90.61×, with less than a 2% loss in accuracy. QLTD was able to achieve a significant compression ratio in terms of the parameter count and realize a good balance between compressing parameters and maintaining identification accuracy. Full article

Background: Dating violence has become a problem of social relevance with short- and long-term health consequences. Nurses are in a privileged position to detect and address this problem in health facilities and as school nurses in schools, providing health education and detecting this violence correctly. Aim: The aim of this study was to evaluate the cross-cultural validation of the Portuguese version of the Multidimensional Scale of Dating Violence-Short (MSDV 2.0). Methods: A validation investigation was carried out in two phases: (1) cross-cultural adaptation of the items and content validation of the Portuguese version of MSDV 2.0 and (2) psychometric validation. Results: Phase (1): The items of the original version include a cross-cultural translation from Spanish to Portuguese and analysed by a group of experts in gender violence and by the authors of the original scale, then a back translation was made and again reviewed by the experts. Young university students also participated for face validity, and a pilot test was carried out. Phase (2): Confirmatory factor analysis was performed using the robust maximum-likelihood estimation method, which confirmed the five-dimensional structure, obtaining good fit rates (chi-square significance (χ²) = 187.860 (p < 0.0001); root mean square error of approximation (RMSEA) = 0.049; comparative fit index (CFI) = 0.937; Tucker–Lewis index (TLI) = 0.923). Reliability analysis indicated adequate internal consistency (Cronbach’s alpha (α) = 0.88 to 0.70). Finally, scores of the Portuguese versions MSDV 2.0 were correlated, as expected, positively with the Depression, Anxiety, and Stress Scale (DASS-21) (r = 0.36 to 0.16) and negatively with the Medical Outcomes Study Questionnaire Short Form 36, Health Survey (SF-36) (r = −0.30 to −0.14). Conclusions: To date, it is the only instrument that measures dating violence in a multidimensional way validated in the Portuguese university context. Full article

In this article, we present a novel methodology for inventory management in the pharmaceutical industry, considering the nature of its supply chain. Traditional inventory models often fail to capture the particularities of the pharmaceutical sector, characterized by limited storage space, product degradation, and trade credits. To address these particularities, using fuzzy logic, we propose models that are adaptable to real-world scenarios. The proposed models are designed to reduce total costs for both vendors and clients, a gap not explored in the existing literature. Our methodology employs pentagonal fuzzy number (PFN) arithmetic and Kuhn–Tucker optimization. Additionally, the integration of the naive Bayes (NB) classifier and the use of the Weka artificial intelligence suite increase the effectiveness of our model in complex decision-making environments. A key finding is the high classification accuracy of the model, with the NB classifier correctly categorizing approximately 95.9% of the scenarios, indicating an operational efficiency. This finding is complemented by the model capability to determine the optimal production quantity, considering cost factors related to manufacturing and transportation, which is essential in minimizing overall inventory costs. Our methodology, based on machine learning and fuzzy logic, enhances the inventory management in dynamic sectors like the pharmaceutical industry. While our focus is on a single-product scenario between suppliers and buyers, future research hopes to extend this focus to wider contexts, as epidemic conditions and other applications. Full article

The International Classification of Functioning, Disability, and Health for Children and Youth outlines body structures and functions and activities and participation to fully describe elements that support or detract from participation. While flourishing has gained attention in recent literature, research also points to the role of functional difficulties among autistic youth in influencing participation. Clearly, function is a multi-dimensional and complex construct and likely consists of both indicators of flourishing and functional difficulties. We used data from the National Survey of Children’s Health (NSCH) from 2016 to 2020 to identify aspects of flourishing functional difficulties to achieve the following aims: (1) Investigate the factor structure of flourishing and functional difficulties among autistic youth ages 10–17 years; and (2) examine the extent to which child variables (i.e., sex, age, race, ethnicity, autism severity, poverty) are associated with flourishing and functional difficulties. Autistic children (n = 2960) between the ages of 10 and 17 years were included. We used confirmatory factor analysis followed by a multivariate general linear model (GLM) to examine the association between child variables and factors. Results indicated a six-factor structure (medical conditions, instrumental activities of daily living, activities of daily living, social competence, behavioral control, and school motivation) with good model fit (root mean square error of approximation = 0.08 [p = 0.926], comparative fit index = 0.94, Tucker–Lewis index = 0.91). Multivariate GLM showed that child factors were differentially and significantly associated with factors of functional difficulties and flourishing. Current findings suggest that 16 items measured by the NSCH result in a six-factor structure of flourishing and functional difficulties among autistic youth. A comprehensive approach to capture function among autistic youth must assess aspects of flourishing and difficulties. Full article

Forest therapy is associated with several health advantages, such as stress reduction and improved psychological health. Mindfulness, an important component of forest therapy, is also associated with improved health outcomes. However, few studies have empirically evaluated mindfulness in forest therapy settings. This study translated the Freiburg Mindfulness Inventory (FMI) in the context of forest therapy into Korean and then validated it. (1) Methods: This study included 352 individuals. Four other psychometric tools were administered to ensure criterion validity. Exploratory and confirmatory factor analyses were implemented to determine the factor structure. Furthermore, item validity was assessed using item response theory. (2) Findings: A two-factor structure of the FMI, comprising acceptance and presence, was the most suitable. However, excluding item 13 enhanced the model fit (χ² [df] = 169.9 [64], comparative fit index = 0.93, Tucker-Lewis index = 0.92, root mean square error of approximation = 0.069). The FMI had satisfactory psychometric properties. (3) Conclusion: The FMI was translated into Korean and validated, serving as a valuable instrument for assessing mindfulness in the context of forest therapy. We identified that item 13 should be excluded. Our results demonstrate the potential effects of mindfulness on mental health in forest therapy. Full article

Background: Resilience is an important aspect of mental health in young people, which has become more relevant after the COVID-19 pandemic. It is therefore of paramount importance to have valid and reliable instruments that measure the globality of this aspect. One of the instruments that has been shown to have good psychometric properties and which has been widely adapted in several languages is the Connor–Davidson resilience scale, composed of 10 elements (10-item CD-RISC). Aim: The aim of this study was to evaluate the validity and reliability of the Portuguese version of the 10-item CD-RISC among young university students. Methods: a cross-sectional observational study of psychometric validation was conducted with a sample of 206 university students. Results: Good and adequate fit indices were obtained for the confirmatory factor analysis (CFA): Standardized Root-Mean-Square Residual [SRMR] = 0. 056; comparative fit index [CFI] = 0.958; and the Tucker–Lewis index [TLI] = 0.946. It also showed an average degree of convergent validity with the Depression, Anxiety and Stress Scale (DASS-21) and the General Health Scale (SF-36), and its internal consistency was good (Cronbach’s alpha = 0.842) with a range of factor loadings between 0.42 and 0.77. Conclusions: the results show that the 10-item CD-RISC is a valid, reliable scale to measure resilience among young Portuguese university students. Full article

Knowledge of a valid, well-designed, and targeted theory-based framework helps better characterize reasons for HPV vaccine hesitancy and identify promising approaches to increase vaccination rates for eligible individuals. This study evaluated health theories in explaining factors affecting HPV vaccination and used a theoretical framework to identify direct and indirect predictors and mediators of HPV vaccination. A cross-sectional survey regarding HPV vaccine uptake and related factors was conducted among 1306 teenagers and young adults in the Midwest, US, in March and April 2023. Structural equation modeling confirmed fit of the framework based on the Integrated Health Theory (IHT) to the HPV vaccine data (Comparative Fit Index = 0.93; Tucker-Lewis Index = 0.92; Root Mean Square Error of Approximation = 0.053). While willingness to uptake the HPV vaccine directly predicted increased uptake (p < 0.001), perceived benefits (p < 0.001) and barriers (p < 0.023) about the vaccine indirectly predicted increased and decreased uptake, respectively. In turn, beliefs about susceptibility (p = 0.005) and severity (p < 0.001) of HPV infection and associated cancers and barriers to vaccination in general (p < 0.001) indirectly predicted willingness to uptake the vaccine. In conclusion, IHT can be appropriate in examining predictors of HPV vaccine uptake in teenagers and young adults in the US, particularly in the Midwest. Full article