bluuebunny/crossref_metadata_2025 huggingface dataset:
Agro-tourism in Nepal: Assessment of economic, cultural, and environmental impact
Authors: Khanal Aaditi , Khanal Avishek , Basnet Femmy , Joshi Sabila , Giri Suja
Published: August 2024

Agro-tourism is a growing trend that combines agriculture and tourism to offer people a unique and sustainable experience. This review article explored the global trends, economic contributions, cultural preservation, and environmental sustainability of agro-tourism in Nepal. By synthesizing existing literature and aligning it with the Nepalese context, the study provides valuable insights for strategic planning and policy formulation, fostering responsible and sustainable growth in this emerging industry. In the context of Nepal, where agriculture is a cornerstone of livelihoods, the economic contributions of agro-tourism, ranging from supplemental income generation to sustainable development, have been analyzed. The exploration extends to the cultural preservation and authenticity fostered by agro-tourism, as well as its impact on environmental sustainability. Despite the promising prospects, the study also presents the challenges faced in integrating agro-tourism in Nepal, proposing solutions to address economic dependency on agriculture, limited tourism contribution to GDP, cultural commodification concerns, environmental conservation challenges, tourism seasonal variability, and the need for government policy support.
The human-animal relationship in zoo-housed mammals: Behavioral and physiological responses to visitor and keeper interactions
Authors: Domínguez-Oliva Adriana , Marcet-Rius Míriam , Gómez-Medina Carlos , Olmos-Hernández Adriana , Gutiérrez Quetzalli , Mota-Rojas Daniel
Published: August 2024

Human-animal relationships (HARs) and interactions strongly influence animal welfare. Thus, advocating for positive HAR is essential for maintaining positive physical and mental health. In particular, zoo–housed species not only are exposed daily to unfamiliar humans (visitors) but also need to routinely interact with zookeepers, veterinarians, trainers, and other staff. In contrast to those in livestock and companion animals, HARs in zoos have not been extensively studied, although it is known that negative interactions can elicit stress-related behavioral and physiological responses. The present review aims to address the importance of positive HAR in wildlife species under human care. The main behavioral and physiological responses to interactions with familiar and unfamiliar humans will be discussed for a wide range of species (because HARs can also be influenced by animal-related factors). Moreover, potential alternatives to address and promote positive HAR in zoo-housed animals (e.g., environmental enrichment and positive reinforcement training) will be addressed. The HAR is part of the Five Domains Model of Animal Welfare. Therefore, recognizing that caregivers/medical staff and visitors' presence can affect an animal’s emotional state is important for establishing beneficial relationships for wildlife under human care.
Tracing the footprints of digital literacy and adult learners: A bibliometric perspective
Authors: Kartanegara Haruman Taufik , Kamil Mustofa , Sudiapermana Elih , Saefudin Asep , Pramudia Joni Rahmat , Abdullah Khairul Hafezad
Published: August 2024

In contemporary times, it is imperative for individuals, including adults, to possess digital literacy effectually. Digital literacy describes the ability to effectively use digital technologies for tasks such as finding, evaluating, organising, creating, and communicating information. Proficiency in technology is essential for widespread and constantly evolving digital breakthroughs. This study aims to provide a comprehensive overview of the research on digital literacy and adult learners. In this study, ScientoPy and VOSviewer software were utilised to analyse datasets obtained from the Scopus and Web of Science (WoS) databases. The analysis focused on determining the number of publications, popular research topics, proactive authors, and preferred sources. The results indicate a rising inclination towards research pertinent to digital literacy and adult learners, as demonstrated by the progressive surge in publications after 2016. Notable areas of research encompass themes such as “adult education”, “digital literacy”, and “lifelong learning”. In addition, the utilisation of terminology such as “ICT”, “digital skills”, and “digital competence” underscores the growing importance of equipping individuals with the necessary knowledge and proficiencies to navigate the digital landscape proficiently. This study contributes to a better understanding of the research on digital literacy and adult learners over three decades. Examining data from the past three decades highlights significant trends and developments in this field. The findings contribute to a deeper understanding of how digital literacy has evolved and impacted adult learning. Furthermore, the research highlights the importance of further investigation, policy development, and educational programmes to improve adult learners’ digital literacy.
Robotics in bariatric surgery: Benefits, limitation, and challenges
Authors: Supare Prachi , Kanyal Deepika
Published: August 2024

The greatest long-term alternative for treating obese people is now bariatric and metabolic surgery, a relatively new surgical technique. Mason and Ito used Roux-en-Y gastric bypass techniques to accomplish the first bariatric surgery, RYGB, in 1967. Evidence since then has indicated stable weight loss, correction of obesity-related comorbidities, and low rates of morbidity and death. With perioperative benefits for patients, including shorter hospital stays, less discomfort, and faster recovery times, laparoscopy has emerged as the gold standard for the majority of bariatric surgery operations. However, there are technological limitations to traditional laparoscopy, including space restrictions and a thick abdominal wall. Metabolic syndrome is frequently present in obese people, and can complicate anesthesia and increase the risk of complications following surgery. According to recent studies, laparoscopic bariatric surgery can have complication rates of up to 20% and leakage rates of up to 5.1%. The clinical results of bariatric surgery may be improved by new technology. Robotic devices can help patients heal more quickly, experience less pain, spend less time in the hospital, and manipulate tissue more precisely and deftly in hard-to-reach areas. This study intends to examine the existing data supporting the use of robots in bariatric surgery in comparison to traditional laparoscopy, as well as the accompanying expenses and learning curve. For patients who are obese, robotic surgery is a viable option since it promotes faster recovery, less pain, and shorter hospital stays. Robotic surgery can lead to a quicker recovery, less pain, and more dexterity and accuracy in difficult-to-reach anatomical regions.
Digital talent management: Mapping with bibliometric analysis
Authors: Yadav Swati , Kapoor Shikha , Gupta Sandeep Kumar
Published: August 2024

As a result of the progress of new technologies, a variety of topics in management have become relevant, including "digital talent management." Because of the impact of these technologies, it is vital to do an extensive bibliometric study on digital talent management with collection of all relevant data. This research will contribute to the development of scientific knowledge by giving light on the evolution and paths of relevant research that has taken place and is being undertaken. Researchers examined the data using the VOS viewer software. These have been used to create and analyze Scopus databases that include consistent information. The bibliometric analysis identified Ninety Scopus articles published between 2005 and 2023. They highlight the most relevant articles, research topics, nations, institutions, authors, publications, and current trends. In conclusion, the number of publications has grown during the previous decade. The study demonstrates the advancement in digitalization in this article on digital talent management. The study of this time might represent the historical segment of digital talent management, allowing the current issue to be used in a variety of ways.
Analysis of cultural and identity transformations in the modern world
Authors: Nedashkivska Tetiana , Zarichanskyi Oleh , Pugachov Volodymyr , Shostak Viktor , Stoliarchuk Nataliia
Published: August 2024

The issue of identification is becoming critical in the context of globalisation. On the one hand, globalisation stimulates the processes of cultural rapprochement and mutual infiltration. On the other hand, it is sharply criticised because of the desire to preserve one's culture and, accordingly, one's identity from "Westernization." The development of digital media exacerbates the problem of self-identification and socialisation of people through integration into virtual reality and the formation of online identities. This requires identifying the main trends of modern cultural and identity transformation and their careful analysis in the context of globalisation and the formation of the information society. The main methodological approaches of our study include constructivism, which allows us to identify the critical areas of identity construction in the global world, and structuralism, which identifies its main elements. Primary research methods: analysis of documents and sociological survey data, correlation analysis and case studies, synthesis, deduction, induction, generalisation, and systematisation. The study found that migration is a critical factor in modern identity transformations. Thus, it contributes to the launch of diametric processes: on the one hand, it influences the emergence of a hybrid identity as a product of cultural synthesis, and on the other hand, it actualises the processes of ethnic, religious, cultural, and national identification. Cultural globalisation promotes the exchange and borrowing of cultural values between peoples. At the same time, it increases resistance to Westernization by introducing practices of cultural isolation and a return to traditional values (cultural and religious). The formation of internet identity brings to attention the problem of constructing a virtual identity that is significantly different from the real one.
Milestone of corporate internet reporting around the word
Authors: Kiswanto Kiswanto , Rahmawati Rahmawati , Setiawan Doddy , Aryani Y. Anni
Published: August 2024

This research aims to provide a foundation and overview of research in the field of CIR. This research provides a literature review of CIR research, especially the development and state of the art of CIR research over the past four decades.  This research method uses systematic analysis based on bibliometric analysis. This research examines databases in Proquest and selected manuals of the last four decades. The results show that there is still an interesting debate regarding the determinants of CIR disclosure in each country. In addition, it illustrates how researchers in each country conducted the last four decades of CIR research. Therefore, the results of this study provide guidance and a literature review on future research—especially the impact of regulations and standards in each in the voluntary disclosure of CIR. In addition, corporate reporting regulators in each country can review the CIR disclosure policy, which is still voluntary. There has been no research that has created the state of the art of corporate internet reporting.
Normalized solutions to a critical growth Choquard equation involving mixed operators
Authors: Giacomoni J. , Nidhi Nidhi , Sreenadh K.
Published: August 2024

In this paper we study the existence and regularity results of normalized solutions to the following critical growth Choquard equation with mixed diffusion type operators: − Δ u + ( − Δ ) s u = λ u + g ( u ) + ( I α ∗ | u | 2 α ∗ ) | u | 2 α ∗ − 2 u in  R N , ∫ R N | u | 2 d x = τ 2 , where N ⩾ 3, τ > 0, I α is the Riesz potential of order α ∈ ( 0 , N ), ( − Δ ) s is the fractional laplacian operator, 2 α ∗ = N + α N − 2 is the critical exponent with respect to the Hardy Littlewood Sobolev inequality, λ appears as a Lagrange multiplier and g is a real valued function satisfying some L 2 -supercritical conditions.
Hypermethylation of the BRCA2 gene promoter and its co-hypermethylation with the BRCA1 gene promoter in patients with breast cancer
Authors: Fishchuk Liliia , Rossokha Zoia , Lobanova Olga , Cheshuk Valeriy , Vereshchako Roman , Vershyhora Viktoriia , Medvedieva Nataliia , Dubitskaa Olha , Gorovenko Natalia
Published: August 2024

BACKGROUND:

The BRCA2 gene is an important tumour suppressor in breast cancer, and alterations in BRCA2 may lead to cancer progression. The aim of the study was to investigate the association of hypermethylation of the BRCA2 gene promoter and its co-hypermethylation with the BRCA1 gene promoter with the development and course of breast cancer in women.

METHODS:

This study included 74 women with breast cancer (tumour tissue samples and peripheral blood) and 62 women without oncological pathology (peripheral blood) – control group.

RESULTS:

Hypermethylation of the BRCA2 gene was significantly more frequently detected in the tumour tissue of women with breast cancer compared to their peripheral blood and peripheral blood of control subjects ([Formula: see text] 0.0006 and [Formula: see text] 0.00001, respectively). Hypermethylation of BRCA2 was more frequently detected in patients with breast cancer over the age of 50 and in patients with higher Ki67 expression levels ([Formula: see text] 0.045 and [Formula: see text] 0.045, respectively). There was a high frequency of unmethylated BRCA1 and BRCA2 gene combination in women of the control group compared to women with breast cancer, both in blood samples and tumour tissue samples ([Formula: see text] 0.014 and [Formula: see text] 0.00001, respectively).

CONCLUSION:

Our study confirms the hypothesis that BRCA2 hypermethylation plays an important role in the pathogenesis of breast cancer and the importance of assessing its co-hypermethylation with BRCA1 in predicting the course of the disease.
Ultrasound scanning in diagnosing primary thyroid lymphoma
Authors: Xue Xiaolei , Wu Liping , Zhang Jinqing , Sun Wei , Jiang Shiqin , Chu Xiaoling , Sun Yingzi
Published: August 2024

OBJECTIVE: This study aimed to summarize the clinical manifestations and ultrasound characteristics of primary thyroid lymphoma (PTL) and explore the key aspects in the process of diagnosing PTL. METHODS: We conducted a retrospective analysis of the clinical and ultrasound features of 11 patients with PTL who were admitted to Shandong Provincial Third Hospital, China, between May 2009 and August 2023. The pathology was confirmed in all cases through an ultrasound-guided core needle biopsy or surgical resection. RESULTS: The mean age of the 11 patients was 64.45±9.85 years. In six patients, the main clinical manifestation was a palpable mass in the neck, five of whom had a significant increase in the size of the mass within 3 months to 2 years. Eleven patients had coexisting Hashimoto’s thyroiditis (HT). Three patients were diagnosed as having diffuse-type PTL, wherein the ultrasound showed enlargement of the affected thyroid gland with diffusely uneven hypoechoic parenchyma. In 7 patients with nodular type PTL and 1 case of mixed type PTL, the ultrasonographic features of the nodular lesions were of irregular morphology and yet had distinct borders, and only 1 case had gross calcification. There were 7 cases of hypoechoic lesions (7/11 cases, 63.6%), 9 cases where the lesions had linear echo chains (9/11 cases, 81.8%), and 10 cases (90.9%) where there was echogenic enhancement posterior to the lesion. CONCLUSION: In elderly patients with HT, the thyroid volume increases significantly in a short period of time and symptoms associated with compression in the neck region appear. The ultrasound characteristics were extremely hypoechoic lesions in the thyroid parenchyma, with more linear echo chains visible inside, accompanied by posterior echo enhancement. When encountering such presentations, physicians must consider the possibility of PTL. Performing a core needle biopsy in cases that raise suspicion can reduce the incidence of misdiagnosis.
Efficient surface defect detection in industrial screen printing with minimized labeling effort
Authors: Krassnig Paul Josef , Haselmann Matthias , Kremnitzer Michael , Gruber Dieter Paul
Published: August 2024

As part of the evolving Industry 4.0 landscape, machine learning-based visual inspection plays a key role in enhancing production efficiency. Screen printing, a versatile and cost-effective manufacturing technique, is widely applied in industries like electronics, textiles, and automotive. However, the production of complex multilayered designs is error-prone, resulting in a variety of defect appearances and classes. These defects can be characterized as small in relation to large sample areas and weakly pronounced. Sufficient defect visualization and robust defect detection methods are essential to address these challenges, especially considering the permitted design variability. In this work, we present a novel automatic visual inspection system for surface defect detection on decorated foil plates. Customized optical modalities, integrated into a sequential inspection procedure, enable defect visualization of production-related defect classes. The introduced patch-wise defect detection methods, designed to leverage less labeled data, prove effective for industrial defect detection, meeting the given process requirements. In this context, we propose an industry-applicable and scalable data preprocessing workflow that minimizes the overall labeling effort while maintaining high detection performance, as known in supervised settings. Moreover, the presented methods, not relying on any labeled defective training data, outperformed a state-of-the-art unsupervised anomaly detection method in terms of defect detection performance and inference speed.
Convergence of Accelerated Brain Volume Decline in Normal Aging and Alzheimer’s Disease Pathology
Authors: Avelar-Pereira Bárbara , Phillips Curran Michael , Hosseini S. M. Hadi ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: August 2024

Background:

Age represents the largest risk factor for Alzheimer’s disease (AD) but is typically treated as a covariate. Still, there are similarities between brain regions affected in AD and those showing accelerated decline in normal aging, suggesting that the distinction between the two might fall on a spectrum.

Objective:

Our goal was to identify regions showing accelerated atrophy across the brain and investigate whether these overlapped with regions involved in AD or where related to amyloid.

Methods:

We used a longitudinal sample of 137 healthy older adults from the Alzheimer’s Disease Neuroimaging Initiative (ADNI), who underwent magnetic resonance imaging (MRI). In addition, a total of 79 participants also had longitudinal positron emission tomography (PET) data. We computed linear-mixed effects models for brain regions declining faster than the average to investigate variability in the rate of change.

Results:

23 regions displayed a 0.5 standard deviation (SD) above average decline over 2 years. Of these, 52% overlapped with regions showing similar decline in a matched AD sample. Beyond this, the left precuneus, right superior frontal, transverse temporal, and superior temporal sulcus showed accelerated decline. Lastly, atrophy in the precuneus was associated with increased amyloid load.

Conclusions:

Accelerated decline in normal aging might contribute to the detection of early signs of AD among healthy individuals.
Amyloid-Negative, Neurodegeneration-Negative Amnestic Mild Cognitive Impairment
Authors: Cardoso Sandra , Guerreiro Manuela , Montalvo Alexandre , Silva Dina , Alves Luísa , de Mendonça Alexandre
Published: August 2024

Background:

The concept of amnestic mild cognitive impairment (aMCI) was developed to identify patients at an initial stage of Alzheimer’s disease (AD). However, some patients with aMCI do not present biomarkers of amyloid pathology or neuronal injury.

Objective:

To know the natural history of amyloid-negative and neurodegeneration-negative patients with aMCI, namely to ascertain: 1) whether these patients remain cognitively stable or they present a slow decline in neuropsychological tests; 2) whether the memory complaints subside with the apparently benign clinical course of the disorder or if they persist along the time.

Methods:

Patients who fulfilled criteria for aMCI with no biomarkers of amyloid pathology or neuronal injury were selected from a large cohort of non-demented patients with cognitive complaints, and were followed with clinical and neuropsychological assessments.

Results:

Twenty-one amyloid-negative and neurodegeneration-negative aMCI patients were followed for 7.1±3.7 years. At the baseline they had more pronounced deficits in verbal learning (California Verbal Learning Test) and were also impaired in Word Recall and Logical Memory. However, they did not decline in any cognitive test during follow-up. The patients maintained a high level of subjective memory complaints from baseline (9.7±4.1) to the follow-up visit (9.2±4.1, a non-significant difference), in spite of a statistically significant decrease in the depressive symptoms, with Geriatric Depression Scale (15 items) score 4.9±2.8 at baseline and 3.2±1.8 at the follow-up visit.

Conclusions:

Amyloid-negative, neurodegeneration-negative aMCI is a chronic clinical condition characterized by the long-term persistence of cognitive deficits and distressing memory complaints. Adequate strategies to treat this condition are needed.
Fueling Alzheimer’s Disease: Where Does Immunometabolism Stand?
Authors: Correia Sónia C. , Perry George , Moreira Paula I.
Published: August 2024

More than a century after the first description of Alzheimer’s disease (AD), the road to a cure for this complex and heterogeneous neurodegenerative disorder has been paved by countless descriptive hypotheses and successive clinical trial failures. Auspiciously, the era of genome-wide association studies revolutionized the classical “neurocentric” view of AD by providing clues that brain-resident immune cells (i.e., microglia and astrocytes) are also key players in the pathological and clinical trajectory of this neurodegenerative disorder. Considering that the intercommunication among neurons, astrocytes, and microglia is fundamental for the functional organization of the brain, it is evident that the disruption of the proper functioning of this “triad” could contribute to the neuroinflammatory and neurodegenerative events that occur in the AD brain. Importantly, recent scientific progress in the burgeoning field of immunometabolism, a crossroad between metabolism and immune response, shed light on the importance of metabolic reprogramming of brain-resident immune cells in AD pathology. In this sense, the present review is aimed to summarize and discuss the current knowledge on the metabolic patterns of brain-resident immune cells during the AD continuum, putting a special focus on glucose, amino acids, and lipid metabolism. Changing the “old” picture of AD pathological basis by integrating the role of brain-resident immune cells it is imperative to establish new and feasible therapeutic interventions able to curb neuroinflammatory and neurodegenerative processes, and consequently cognitive deterioration.
Post-Traumatic Stress Disorder and Risk of Parkinson’s Disease in a Veteran Cohort
Authors: Weaver Frances M. , Cao Lishan , Stroupe Kevin T. , Gonzalez Beverly , Brown Ethan , Colletta Kalea , Tanner Caroline M. , Goldman Samuel M.
Published: August 2024

Post-traumatic stress disorder (PTSD) may be a risk factor for Parkinson’s disease (PD). We examined the relation between PTSD and PD in a cohort of 158,122 Veterans who had any Veterans Health Administration (VHA) or Medicare health care utilization between 10/1/1999– 2/17/2021. Using a nested case-control design we matched 10 controls to each Veteran with PD by sex, race, and rank. In conditional logistic regression models adjusted for camp and smoking, a PTSD diagnosis was significantly associated with PD (OR = 1.35; p = 0.0002); odds were higher if PTSD was coded before PD (OR = 1.53, p < 0.0001). PTSD may be a risk factor for PD.
Ontology supported semantic based image retrieval
Authors: Gaşi Akif , Ensari Tolga , Dağtekin Mustafa
Published: August 2024

In this study, a two-stage approach for developing a Semantic-Based Image Retrieval system supported by Ontology is proposed. In the initial stage, the Object Detection process is employed to identify objects within the image. Subsequently, a predicate describing the relationship between these two objects is determined using the developed Bi-directional Recurrent Neural Network (Bi-RNN) model. In the second stage, relations defined in the form of  are transformed into Ontologies and utilized to search for images that are semantically similar. In addressing the primary challenge of Semantic Gap within the Semantic-Based Image Retrieval approach, the proposed solution involves measuring the number of similar relationships between two images through the utilization of entropy. The Semantic Gap between two images was computed using the Joint Entropy method, leveraging the number of relationships (X) identified in the query image and the total number of relationships (Y) in the image with similar relationships obtained as a query result. The proposed approach exhibits characteristics of a novel method within this field, distinct from other similar methods employed in Semantic-Based Image Retrieval through the utilization of Ontologies. In the performance measurement of the developed model, 91% accuracy was obtained according to the Recall@100 (Top-5 accuracy) result.
Modelling a self-defined CNN for effectual classification of PCOS from ultrasound images
Authors: Paramasivam Gokila Brindha , Ramasamy Rajammal Rajalaxmi
Published: August 2024

BACKGROUND: Polycystic Ovary Syndrome (PCOS) is a medical condition that causes hormonal disorders in women in their childbearing years. The hormonal imbalance leads to a delayed or even absent menstrual cycle. Women with PCOS mainly suffer from extreme weight gain, facial hair growth, acne, hair loss, skin darkening, and irregular periods, leading to infertility in rare cases. Doctors usually examine ultrasound images and conclude the affected ovary but are incapable of deciding whether it is a normal cyst, PCOS, or cancer cyst manually. OBJECTIVE: To have access to the high-risk crucial PCOS and to detect the condition and the treatment aimed at mitigating health hazards such as endometrial hyperplasia/cancer, infertility, pregnancy complications, and the long-term burden of chronic diseases such as cardiometabolic disorders linked with PCOS. METHODS: The proposed Self-Defined Convolution Neural Network method (SD_CNN) is used to extract the features and machine learning models such as SVM, Random Forest, and Logistic Regression are used to classify PCOS images. The parameter tuning is done with lesser parameters in order to overcome over-fitting issues. The self-defined model predicts the occurrence of the cyst based on the analyzed features and classifies the class labels effectively. RESULTS: The Random Forest Classifier was found to be the most reliable and accurate among Support Vector Machine (SVM) and Logistic Regression (LR), with accuracy being 96.43%. CONCLUSION: The proposed model establishes better trade-off compared to various other approaches and works effectually for PCOS prediction.
Highly accurate brain tumor detection with high sensitivity using transform-based functions and machine learning algorithms
Authors: Bhatt Ashish , Nigam Vineeta Saxena
Published: August 2024

BACKGROUND: Brain tumor is an extremely dangerous disease with a very high mortality rate worldwide. Detecting brain tumors accurately is crucial due to the varying appearance of tumor cells and the dimensional irregularities in their growth. This poses a significant challenge for detection algorithms. Currently, there are numerous algorithms utilized for this purpose, ranging from transform-based methods to those rooted in machine learning techniques. These algorithms aim to enhance the accuracy of detection despite the complexities involved in identifying brain tumor cells. The major limitation of these algorithms is the mapping of extracted features of a brain tumor in the classification algorithms. OBJECTIVE: To employ a combination of transform methods to extract texture feature from brain tumor images. METHODS: This paper employs a combination of transform methods based on sub band decomposition for texture feature extraction from MRI scans, hybrid feature optimization methods using firefly and glow-worm algorithms for selection of feature, employment of MKSVM algorithm and stacking ensemble classifier for classification and application of the feature of fusion of different feature extraction methods. RESULTS: The algorithm under consideration has been put into practice using MATLAB, utilizing datasets from BRATS (Brain Tumor Segmentation) for the years 2013, 2015, and 2018. These datasets serve as the foundation for testing and validating the algorithm’s performance across different time periods, providing a comprehensive assessment of its effectiveness in detecting brain tumors. The proposed algorithm achieves maximum detection accuracy, detection sensitivity and specificity up to 98%, 99% and 99.5% respectively. The experimental outcomes showcase the efficiency of the algorithm in detection of brain tumor. CONCLUSION: The proposed work mainly contributes in brain tumor detection in the following aspects: a) use of combination of transform methods for texture feature extraction from MRI scans b) hybrid feature selection methods using firefly and glow-worm optimization algorithms for selection of feature c) employment of MKSVM algorithm and stacking ensemble classifier for classification and application of the feature of fusion of different feature extraction methods.
The relationship between challenge-hindrance stress, professional identity, and emotional labor of Chinese preschool teachers
Authors: Zhang Yaqian , Wang Yujiao , Wang Chonggao , Zhao Zhibin
Published: August 2024

BACKGROUND: Teaching will bring work stress and affect emotions, as well as require a high level of professional identity. However, few have examined trilateral relationships between work stress (in terms of challenge-hindrance stress), professional identity, and emotional labor among Chinese preschool teachers during COVID-19. OBJECTIVE: Based on the conservation of resource theory, this study aimed to examine the relationship between challenge-hindrance stress, emotional labor, and professional identity, as well as explore the mediating effects of professional identity between job stress and emotional labor among Chinese preschool teachers. METHODS: A cross-sectional study was conducted, with 753 preschool teachers completing a self-report questionnaire. Statistical analyses were conducted using SPSS 26.0 and included descriptive statistics, Pearson correlation analysis, regression analysis, and mediation effect testing. RESULTS: Research indicated that 1) challenge-hindrance stress was positively correlated with surface acting (r = 0.21, p < 0.01, and r = 0.28, p < 0.01) but negatively correlated with the expression of naturally felt emotions (r = –0.08, p < 0.05, and r = –0.12, p < 0.01); 2) Challenge-hindrance stress was negatively correlated with professional identity (r = –0.08, p < 0.05, and r = –0.20, p < 0.01); 3) Professional identity exhibited positive correlations with the three dimensions of emotional labor (r = 0.12, p < 0.01; r = 0.64, p < 0.01; and r = 0.56, p < 0.01) and partially mediated the relationship between challenge-hindrance stress and emotional labor. CONCLUSION: The study underscored that challenge-hindrance stress affected emotional labor directly and indirectly through the mediating role of professional identity. Interventions focusing on alleviating work stress and promoting professional identity through comprehensive training could effectively mitigate emotional labor among preschool teachers.
Einstein’s Revolutionary Ideas
Authors: Oldani Richard
Published: August 2024

Einstein published four papers in 1905 that revolutionized our understanding of the fundamental concepts of space, time, mass, and energy. We draw attention here to an idea in one of the 1905 papers that revolutionizes our understanding of quantum mechanics, but its significance was never understood. We use it to derive classical interpretations of matrix and wave mechanics, resolve the “collapse” problem, and demonstrate that the standard model is deficient in its physical interpretation of Nature.
Proposal to Explain the Cause of Long COVID Based on the Concept of Host Factor Variants
Authors: Pasharawipas Tirasak
Published: August 2024

Long COVID, also known as post-COVID syndrome (PCS), manifests as unexplainable clinical symptoms in some asymptomatic/mildly symptomatic SARS-CoV-2-positive individuals during the acute phase. The symptoms begin even after the nasopharyngeal swab becomes negative for months. This proposal aims to explain the cause of long COVID through the host factors variants concept, which involves cellular variants and major histocompatibility complex (MHC) polymorphism. The roles of antigen-presenting cells (APCs), such as macrophages and dendritic cells, are central to this explanation. Ultimately, this article proposes that blood or white blood cells could be the proper samples for diagnosing long COVID patients.
Tailoring the First Law of Thermodynamics for Convective Flows
Authors: Makuch Karol
Published: August 2024

Equilibrium thermodynamics is grounded in the law of energy conservation, with a specific focus on how systems exchange energy with their environment during transitions between equilibrium states. These transitions are typically characterized by quantities such as heat absorption and the work needed to alter the system’s volume. This study is inspired by the potential to develop an analogous, straightforward thermodynamic description for systems that are out of equilibrium. Here, we explore the global energy exchanges that occur during transitions between these nonequilibrium states. We study a system with heat flow and an external (gravity) field that exhibits macroscopic motion, such as Rayleigh-Bénard convection. We show that the formula for system’s energy exchange has the same form as in equilibrium. It opens the possibility of describing out-of-equilibrium systems using a few simple laws similar to equilibrium thermodynamics.
On Quantum Superposition
Authors: Li Guang-Liang
Published: August 2024

Lying at the heart of quantum mechanics, the notion of quantum superposition causes enormous difficulty in understanding the problem of quantum measurement, which concerns the Einstein-Bohr debate on the conceptual foundations of the quantum theory. According to Bell’s theorem, Einstein’s viewpoint in his debate with Bohr seems to be wrong. In the present paper, a new principle (referred to as the general principle of measurements) is introduced and proved as a mathematical theorem. Based on this principle, various forms of quantum superposition (including quantum entanglement) and the corresponding experiments are scrutinized. The main findings are as follows. (a) Einstein’s viewpoint is correct and Bell’s theorem is problematic. (b) Measurement outcomes of any actual experiment with individual microscopic objects described in a form of quantum superposition, in particular, the experimental results of testing Bell inequalities, are all erroneously explained. (c) Bell inequalities failed to capture the essence of the Einstein-Bohr debate, i.e., whether quantum superposition is legitimate for describing individual microscopic objects. (d) All kinds of quantum superposition violate the general principle of measurements and hence are illegitimate. (e) Quantum mechanics can be completed by using disjunction (“or”) as the logical relation between the orthonormal vectors that span an arbitrarily given Hilbert space for describing a single microscopic object, and the mathematical setting will remain essentially unchanged; hidden-variable theories are irrelevant to the real world. (f) After completing quantum mechanics as above, the difficulty in understanding the problem of quantum measurement disappears naturally. Implications of the findings are also discussed.
PENGETAHUAN DAN SIKAP TENTANG TUBERKULOSIS PARU DENGAN PERILAKU PENCEGAHAN TUBERKULOSIS PARU MASYARAKAT UMBULHARJO YOGYAKARTA
Authors: Manunggal Adefi Putri , Adnani Hariza
Published: August 2024

Background: Tuberculosis (TB) is still a public health problem in the world, especially in countries - developing countries including Indonesia.Disease is a major threat to the development of human resources that require the attention of all parties.In fact, the current number of TB patients in Indonesia was ranked fourth highest in the world.Indonesia ranked fourth highest for patients with TB after China, India, and South Africa.Results of a preliminary study conducted at the City Health Office Yogyakarta in 2014 Puskesmas Umbulhajo I ranks first with 72 TB patients, for 2015 at the health center I Umbulharjo most TB patients are in Sub Sorosutan.Objective: Toexamine the correlation between knowledge and attitude of pulmonary tuberculosis with lung tuberculosis prevention behavior in the community in the Village Sorosutan city of Yogyakarta in 2016.Â Methods: This research is non experiment with this type of analysis quantitative descriptive and cross-sectional study design.The sampling technique used is proportional sampling as many as 100 respondents.The analysis used are univariate and bivariateResults:Kendall Tau analysis showed no association knowledge sig.=0.033 and attitude sig.=0.013 and p-value less than Î± (0.05).Â Conclusion: From this study we can conclude that knowledge with attitudes related to preventive behaviors in the community in the village of Umbulharjo Sorosuran Yogyakarta 2016Â Keywords: Attitude and Behavior Prevention, Knowledge
EFEKTIFITAS PROGRESSIVE MUSCLE RELAXATION DAN SLOW DEEP BREATHING TERHADAP PENURUNAN TEKANAN DARAH PADA PENDERITA HIPERTENSI DI WILAYAH KERJA PUSKESMAS GAMPING 2 YOGYAKARTA
Authors: Setyaningrum Niken
Published: August 2024

Background : Hypertension is one of the deadliest diseases in the world and is currently listed as the third killer disease after heart disease and cancer. Based on the 2014 survey sample registration hypertension is the fifth leading causes of death in Indonesia. WHO estimated in 2025 the incidence rate of hypertension increased by 29.2%. If not identified properly it can worsen the condition of patients with hypertension. Hypertension can be controlled by non-pharmacological therapy using progressive muscle relaxation techniques and slow deep breathing relaxation.Objective : The purpose of this study was to determine the effectiveness of progressive muscle relaxation and slow deep breathing techniques to decrease blood pressure in the working area of gamping 2 public health centre of YogyakartaMethods : The design of this research is Quasi-experimental Design with Comparison Group. Sampling technique was using purposive sampling. The study was conducted in Gamping 2 Yogyakarta public health centerâ€™s working area. The sample size in this study were 60 respondents to the division of each sample of 20 respondents in the intervention group, control group 1 and the control group 2. Analysis of the data in this study using kruskal-Wallis and post-hoc post-hoc Mann-Whitney.Result : The results of this research is that there is a significant difference of the decrease of systolic blood pressure between the intervention group and control group 1 and control group 2 (p=0.001), diastolic blood pressure (p=0.026) and slow deep breathing is done simultaneously be used to lower blood pressure.Â Keywords: Hypertension, Progressive Muscle Relaxation, Slow Deep Breathing
Analisis Penerapan K3 Pada Pembelajaran Praktek Di Bengkel Mesin Politeknik TEDC
Authors: Ekawandani Nunik , Suharto Suharto
Published: August 2024

ABSTRACTBackground: Vocational college is one of the colleges that prepares students to become people who are ready to work or as people who can open their own jobs. Vocational learning prioritizes practice compared to theory, so that practical credits are greater than theory. With such conditions requiresÂ  attention to health and safety during work practice workshops, workshops or laboratories. Because the cause of accidents is due to unsafe environmental conditions and unsafe behavior. Students as actors in this practice are the first priority in occupational health and safety. This Study aims to occupational health and safety.Methods:The method used in this research was a description by distributing questionnaires to students. Results: From the results of distributing questionnaires, it was found that students did not understand the general K3 knowledge. Students' knowledge of K3 generally showed good results for students majoring in machines who did not understand K3. Likewise with the use of PPE in practical learning, the average student has shown good results.Conslusion: The results of data analysis from this questionnaire serve as a basic reference for institutions to further improve their K3 facilities and equipment.Keywords: vocational, practice, occupational health and safety
Faktor yang Berhubungan dengan Penerimaan Vaksin HPV
Authors: Sangadji Namira Wadjir , Ayu Ira Marti , Veronika Erna
Published: August 2024

ABSTRACT
Background of Study: Cervical cancer prevention will be more effective if accompanied by specific protective measures such as HPV immunization. A preliminary study conducted on May 28, 2022, on ten seventh grade students of Ma'Arif Sukaraja Junior High School found that 30% of parents refused the vaccine due to concerns related to its permissibility. The aim of this study was to identify factors associated with HPV vaccine acceptance by parents at Ma'Arif Sukaraja Junior High School in 2022.
Methods: The research design used was analytic observational with a cross-sectional design. The population in this study consisted of all parents of Ma'Arif Sukaraja Junior High School students, totaling 58 people. The study used the total sampling method with all 58 individuals as samples. Data collection was done by distributing questionnaires to students, which were then taken home to be filled in by their parents.
Results: About 46.66% of parents refused the HPV vaccine, with the most common reason for refusal being distrust of the vaccine (42.66%). The chi-square test showed a significant association between poor parental knowledge of HPV vaccine (PR: 3.04; p value: 0.01) and history of cancer infection (PR: 0.02; p value: 0.01). Logistic regression analysis showed that the factor that most influenced HPV vaccine acceptance at Ma'Arif Sukaraja Junior High School in 2022 was poor parental knowledge about the HPV vaccine (PR: 12.98; p value: 0.01).
Conclusion: The most influential variable in HPV vaccine acceptance at Ma'Arif Sukaraja Junior High School in 2022 is poor parental knowledge about the HPV vaccine.
Keywords: HPV, Vaccine Acceptance, Parents
Determinan Faktor Situasional yang Berhubungan dengan Literasi Kesehatan Mental pada Mahasiswa
Authors: Fatmawaty Desy , Febrianti Christin Angelina , Sari Nurhalina
Published: August 2024

Latar Belakang: Berdasarkan data Riskesdas 2018 di Provinsi Lampung pada tahun 2018 menyebutkan gangguan mental emosional sebesar 5.56%. Akar permasalahan pada kesehatan mental yaitu pemahaman remaja yang kurang mengenai literasi kesehatan mental. Penelitian ini bertujuan untuk mengetahui hubungan faktor lingkungan fisik, dukungan keluarga, dukungan teman, dan penggunaan media dengan literasi kesehatan mental pada mahasiswa di Universitas Malahayati Bandar Lampung Tahun 2023.
Metode: Penelitian ini menggunakan desain penelitian kuantitatif dengan pendekatan cross sectional. Analisis data menggunakan analisa univariat dan bivariat dan menggunakan uji T test independent. Populasi pada penelitian ini adalah mahasiswa aktif di Universitas malahayati, dengan sampel sebanyak 250 responden. Teknik pengumpulan data melalui kuesioner berbentuk google form. Alat ukur untuk kuesioner literasi kesehatan mental memakai Mental Health Literacy Scale (MHLS).
Hasil: penelitian menunjukkan bahwa ada hubungan antara variabel lingkungan fisik (p-value 0.000), dukungan keluarga (p-value 0.000), dukungan teman (p-value 0.000), penggunaan media (p-value 0.017) dengan literasi kesehatan mental.
Kesimpulan: seluruh variabel pada penelitian ini berhubungan dengan literasi kesehatan mental, diharapkan instansi dapat berperan aktif dalam meningkatkan literasi kesehatan mental. Memberikan informasi yang menarik melalui media elektronik maupun cetak mengenai kesehatan mental. Diharapkan juga untuk meningkatkan fasilitas seperti biro konseling.
Kata Kunci: Dukungan, Media, MHLS, Lingkungan
Keinginan Memiliki Anak Lagi pada Wanita Usia Subur (WUS) di Indonesia
Authors: Sohibun Sohibun , Siregar Kemal Nazarudin
Published: August 2024

Latar Belakang: Angka fertilitas memiliki tren yang terus menurun, namun belum mencapai target. Keinginan untuk memiliki anak lebih banyak berhubungan langsung dengan fertilitas yang perlu dikendalikan. Tujuan penelitian ini adalah untuk mengetahui faktor-faktor sosial ekonomi dan demografi yang berhubungan dengan keinginan untuk memiliki anak lagi pada wanita pasangan usia subur di Indonesia tahun 2017.
Metode: Penelitian ini merupakan penelitian analitik kuantitatif dengan desain cross sectional. Sampel penelitian adalah wanita usia subur usia 15-49 tahun yang memiliki satu anak atau lebih berdasarkan data SDKI 2017. Analisis yang digunakan adalah regresi logistik berganda.
Hasil: Hasil dari penelitian ini adalah 39,9 persen wanita ingin memiliki anak lagi. Variabel yang berhubungan adalah variabel umur OR 0,17 (95% CI 0,16-0,18), jumlah anak hidup OR 0,2 (95% CI 0,19-0,22), tingkat pendidikan OR 1,76 (95% CI 1,57-1,98), status ekonomi rendah OR 0 79 (95% CI 0,70-0,89), ekonomi sedang OR 0,80 (95% CI 0,71-0,91), ekonomi tinggi OR 0,74 (95% CI 0,65-0,84), ekonomi tertinggi OR 0,63 (95% CI 0,55-0,72), variabel wilayah tempat tinggal OR 0,11 (95% CI 1,00-1,20).
Kesimpulan: Proporsi wanita yang telah memiliki anak dan ingin memiliki anak lagi cukup tinggi, sehingga perlu dilakukan sosialisasi tentang kesehatan reproduksi dan ibu serta alat kontrasepsi agar wanita dapat membatasi kelahiran.
Kata kunci: Fertilitas, Keinginan Memiliki Anak, Wanita Usia Subur