bluuebunny/crossref_metadata_2025 huggingface dataset:
Phonemic Awareness as a Solution to Speech Anxiety
Authors: Asperis Robert
Published: June 2024

People of all ages and skill levels can benefit from phonemic awareness activities due to their accessibility and adaptability. People can improve their pronunciation and communicate more clearly and confidently by developing their capacity to perceive and manipulate sounds. This combined emphasis on improving speech and reducing anxiety draws attention to the many benefits of incorporating phonemic awareness interventions into speech therapy plans and educational courses. The aim of this article review is to gather and collect relevant literature that solidifies the idea that phonemic awareness is one of the solutions to speech anxiety problems. Through the consistent practice of diverse phonemic exercises, people can become less sensitive to the anxiety-inducing elements of verbal communication, thus cultivating a sense of mastery and control over their speech. Through gradual exposure, people can gradually develop resilience and confidence, which is an essential component in the effective management of speech anxiety. In order to enable people to overcome speech anxiety, this conclusion emphasizes the importance of including phonemic awareness interventions within educational and therapeutic settings.
Exploring Digital Management Intensity and Its Relationship with Environmental Performance: Greek Managers’ Perspective
Authors: Kargas Antonios , Gkika Elena , Sepetis Anastasios
Published: June 2024

Digital transformation process gained significant research interest over the past years especially when related with achievements in sustainability goals. Even though there exist growing research regarding various aspects of digital transformation and sustainability procedure, a more detailed analysis is needed in different national environments. Proposed study empirically analyzes the Greek managers’ perspective for the relationship between digital management intensity and environmental performance. Almost 60 Greek senior managers from various organizational sectors were interviewed, while a synthetic index already developed from previous studies was used. Results indicate that Greek companies are not fully exploit digital technologies to further develop their environmental practices. Digital transformation strategy is contributing effectively to environmental strategies in the case of reducing emissions of waste and avoid environmental accidents, while in the rest of cases emerging technologies play a less important role and not as a part of an holistic digital strategy.
Importance of Energy, Dietary Protein Sources and Amino Acids Composition in the Regulation of Metabolism: An Indissoluble Dynamic Combination for Life
Authors: Corsetti Giovanni , Pasini Evasio , Scarabelli Tiziano M , Romano Claudia , Singh Arashpreet , Scarabelli Carol C , Dioguardi Francesco S
Published: June 2024

Purpose. This paper aims to present a unique perspective that emphasizes the intricate interplay between energy, dietary proteins, and amino acid composition, underscoring their mutual dependence for health-related considerations. Energy and protein synthesis are fundamental to biological processes, crucial for the sustenance of life and growth of organisms. Methods and Results. We explore the intricate relationship between energy metabolism, protein synthesis, regulatory mechanisms, protein sources, amino acid availability, and autophagy, in order to elucidate how these elements collectively maintain cellular homeostasis. We underscore the vital role this dynamic interplay has in preserving cell life. Conclusion. A deeper understanding of the link between energy and protein synthesis is essential to comprehend fundamental cellular processes. This insight could have wide-ranging impact in several medical fields, such as nutrition, metabolism, and disease management.
Numerical Investigation on Thermal Conductivity of Graphene Foam Composite for Thermal Management Applications
Authors: Zhou Rongyao , Lv Yuexia , Du Tingting , Bi Jinpeng
Published: June 2024

Graphene foam prepared by chemical vapor deposition method is a promising thermal interfacial material. However, the thermal properties of graphene foam highly depend on the experimental fabrication conditions during the chemical vapor deposition process. Aiming to reveal how to prepare the appropriate graphene foam for the various thermal management scenarios, the influence of experimental conditions on thermal properties of graphene foam is investigated. Furthermore, the contribution of thermal conductivity and thermal radiation to the effective thermal coefficient of graphene foam is carried out for comparison. Research results show that, the porosity and the cross-section shape of struts of growth template are two critical factors to affect the thermal transport of graphene foam, especially with the increase of temperature. In addition, the deposition time of graphene determines the wall thickness and affects the thermal conductivity directly. The thermal radiation contributes more than thermal conductivity when the temperature climbs continuously. Comparatively, the effective thermal coefficient of graphene foam composite with high porosity and circular shape struts is much superior to others at high temperature. The research findings can provide important guidance for the graphene foam fabrication and its applications in the field of thermal management.
Unpacking the Challenges of Supply Chain Transparency and Traceability: Perspectives from Industry Practitioners
Authors: Reynolds Samantha
Published: June 2024

Supply chain transparency and traceability have become increasingly important in today's globalized and interconnected business environment. This qualitative research explores the challenges and perspectives of industry practitioners regarding supply chain transparency and traceability. Drawing on semi-structured interviews with a diverse group of supply chain professionals, the study identifies key themes including difficulties in achieving visibility beyond immediate suppliers, data fragmentation and inconsistency, barriers to technology adoption, regulatory compliance, cultural and organizational factors, impacts on supplier relationships, and the influence of the COVID-19 pandemic and sustainability goals. The findings highlight the complex nature of these challenges and the need for collaborative, multi-stakeholder approaches to address them effectively. Despite the challenges, the study also reveals the potential benefits of transparency and traceability for enhancing supply chain resilience, sustainability, and stakeholder trust. Moving forward, companies must leverage technological innovations, establish clear communication channels with suppliers, navigate regulatory complexities, and foster a culture of transparency and accountability within their organizations. Future research should focus on practical strategies for implementing transparency and traceability initiatives, as well as evaluating their impact on supply chain performance and sustainability outcomes.
Dual-Frequency Terahertz Amplitude Modulator Based on the Coupling Effect of Cross-Shaped Structure and U-Shaped Metal Patches
Authors: Zhang Zhen , Yang Linji , Zhou Huan , Ye Kuan , Qiu Sen , Chen Xin , Ma Yong , Li Renpu
Published: June 2024

This letter presents a dual-frequency terahertz amplitude modulator based on a cross-shaped structure and U-shaped metal patches. Its structural unit is a typical metal-substrate structure. The top metal consists of a cross-shaped structure and U-shaped metal patches, and the bottom substrate layer is made of quartz. Amplitude modulation is achieved by adjusting the temperature of the vanadium dioxide (VO2) patches. The modulation depth can be approximately 75%. The mechanism of the resonance frequency is explained by the equivalent circuit model. The proposed structure shows good amplitude modulation capability at different incidence and azimuth angles by changing the location of the VO2 patches. The dual-frequency terahertz amplitude modulator can be used in terahertz communication, imaging, etc.
Frailty Assessment and Its Impact on Loneliness among Older Adults Receiving Home-Based Healthcare: A Cross-Sectional Study.
Authors: Klesiora Maria , Tsaras Konstantinos , Papathanasiou Ioanna V. , Malliarou Maria , Bakalis Nikolaos , Kourkouta Lambrini , Melas Christos , Kleisiaris Christos
Published: June 2024

To identify the effect of frailty on loneliness of older adults receiving home care, considering their socioeconomic and homebound status. This cross-sectional study enrolled 218 individuals aged ≥65 years receiving home-based health services “Help at Home” in the Region of Evrytania, Greece, after an open invitation by Municipality authorities from March to June 2022. Tilburg Frailty Indicator (TFI) was used for the evaluation of frailty, UCLA Loneliness Scale version 3 for loneliness and social isolation was accessed through five questions (living alone, frequency of interaction with children, relatives, friends, and participation in social organizations). The mean age of the participants was 81.48 ± 9.06, 61.9% were female, 54.1% experienced high levels of loneliness (UCLA-3 mean 45.76 ±11.10 [range 20-68]), and 46.3% of the participants identified as socially isolated. Also, 58.3% of the individuals were classified as frail (TFI mean 5.95 ± 3.07, [TFI range 0-13], with 57.3% experiencing physical frailty, 43.6% psychological frailty, and 27.1% social frailty. An analysis of covariance (ANCOVA) placing UCLA-3 as the dependent variable revealed that loneliness and across all domains of TFI were significantly higher in participants with frailty (total frailty [yes] 49.27 vs. [no] 40,87 p <0.001) particularly, (physical frailty [Yes]=48.99 vs. [No]=41.42, p <0.001, psychological: 48.60 vs. 43.57 p <0.001 and social: 53.38 vs. 42.94 p <0.001) compared to non-frail individuals, even after adjusting for potential confounding effects (covariates: gender, age, marital status, family status, living status, educational level, annual income, chronic diseases, homebound status, and social isolation). Our data analysis confirmed that frailty is a significant risk factor for higher levels of loneliness among older adults who received home-based healthcare.
Shared E-scooter Usage Analysis considering the Effect of Weather Conditions and Land Use: Qatar Case Study
Authors: Elhenawy Mohammed , Mohammed Anas , Tahmasseby Shahram , Salam Salwa , Alhajyaseen Wael , Karakikes Ioannis , Tsouros Ioannis , Tsirimpa Athina , Polydoropoulou Amalia
Published: June 2024

Shared e-scooters are gaining popularity as a solution for first and last-mile connectivity in urban areas. This study conducted in Doha, Qatar, aimed to understand how weather and land use patterns affect e-scooter usage, utilizing various datasets. Given the novelty of micromobility systems in Qatar and their sensitivity to the local hot and humid climate, the study employed a comprehensive analytical approach. Analysis revealed that e-scooter demand spikes on weekends, particularly in the afternoon. Influential land use factors include proximity to universities and employment centers, while a higher presence of Qatari females in an area correlates with reduced usage, pointing to cultural influences. Weather conditions, especially humidity and extreme temperatures, significantly impact e-scooter demand. The study employed the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm for trip clustering and the Random Forest (RF) algorithm to model trip counts, considering temperature and humidity. Insights showed humidity as a critical predictor of hourly e-scooter trip counts. These findings underscore the importance of considering weather, land use, the relationship between land use characteristics and weather variations, and finally cultural factors in optimizing e-scooter services. By integrating data analysis and machine learning, the study offers valuable insights for enhancing urban mobility and transportation planning in GCC countries, promoting sustainable urban mobility.
The Pigment World
Authors: Michaelian Karo
Published: June 2024

Many of the fundamental molecules of life share extraordinary pigment-like optical properties in the long-wavelength UV-C spectral region. These include strong photon absorption and rapid (sub pico-second) dissipation of the induced electronic excitation energy into heat through peaked conical intersections. These properties have been attributed to a “natural selection” of molecules resistant to the dangerous UV-C light incident on Earth’s surface during the Archean. In contrast, the “thermodynamic dissipation theory for the origin of life” argues that, far from being detrimental, UV-C light was, in fact, the thermodynamic potential driving the dissipative structuring of life at its origin. The optical properties were thus the thermodynamic “design goals” of microscopic dissipative structuring of organic UV-C pigments, today known as the “fundamental molecules of life”, from common precursors under this light. This “UV-C Pigment World” evolved towards greater solar photon dissipation through more complex dissipative structuring pathways, eventually producing visible pigments to dissipate less energetic, but higher intensity, visible photons, up to wavelengths of the “red-edge”. The propagation and dispersal of organic pigments, catalyzed by animals, and their coupling with abiotic dissipative processes, such as the water cycle, culminated in the apex photon dissipative structure, today’s biosphere.
Detection of Different Lemon Pre-Harvest Additive Treatments by Means an Electronic Nose Prototype
Authors: Ruiz-Canales Antonio , Martínez-Muñoz Gemma , Conesa-Celdrán Agustín , CÁNOVAS FLORES ISABEL , Vertedor Daniel Martin , Oates Martin J
Published: June 2024

This study was carried out with a low-cost electronic nose prototype based on eight metal oxide sensors (MQ) in order to characterize samples of lemons treated with 0.5% and 0.1% of sodium benzoate. The MQ sensors designed are sensitive to one or more chemicals to detect the presence of a variety of chemicals in the air. The sensor MQ135 detects ammonia, hydrogen sulphide and benzene. Signal data were studied to obtain a pattern recognition of rotten in lemon fruits. Network analysis was used to obtain a calibration of measures among the stage of lemons. In this article, an electronic nose prototype based on 8 MQ metal oxide sensors has been used in order to analyze and characterize different lemon varieties to which different chemical treatments have been applied in pre-harvest. PCA-based data analyzes were used to observe clusters in the data. Through the combined use of the data obtained by the nose and these Sequential Neural Networks (SNNs) a classification tool for lemon varieties and applied treatments has been obtained. It is shown the ability of this device to be used as a reliable discrimination method, in addition to providing low cost and optimization of time and expert resources.
Removal of Micro and Nanoplastics from Water Using Magnetic Nanoparticles: A Review
Authors: Vohl Sabina , Kristl Matjaž , Stergar Janja
Published: June 2024

The spread of micro- (MPs) and nanoplastics (NPs) in the environment has become a significant environmental concern, necessitating effective removal strategies. In this comprehensive scientific review, we examine the use of magnetic nanoparticles (MNPs) as a promising technology for the removal of MPs and NPs from water.
We first describe the issue of MPs and NPs and their impact on the environment and human health. Then the fundamental principles of using MNPs for the removal of these pollutants will be presented, emphasizing that MNPs enable selective binding and separation of MPs and NPs from water sources.
Furthermore, we provide a short summary of various types of MNPs that have proven effective in the removal of MPs and NPs. These include ferromagnetic nanoparticles, MNPs coated with organic polymers, as well as nanocomposites and magnetic nanostructures. We also review their properties, such as magnetic saturation, size, shape, surface functionalization and stability, and their influence on removal efficiency.
Next, we describe different methods of utilizing MNPs for the removal of MPs and NPs. We discuss their advantages, limitations, and potential for further development in detail.
In the final part of the review, we provide an overview of existing studies and results demonstrating the effectiveness of using MNPs for the removal of MPs and NPs from water. We also address challenges that need to be overcome, such as nanoparticle optimization, process scalability, and the removal and recycling of nanoparticles after the completion of the process.
This comprehensive scientific review offers an extensive insight into the use of MNPs for the removal of MPs and NPs from water. With improved understanding and the development of advanced materials and methods, this technology can play a crucial role in addressing the issue of MPs and NPs and preserving a clean and healthy environment.
A Hybrid Model Based on LSSVM and the Improved BFOA for Sustainability of Daily Electricity Load Forecasting in Malaysia
Authors: Zaini Farah Anishah , Sulaima Mohamad Fani , Razak Intan Azmira Binti Wan Abdul , Othman Mohammad Lutfi , Mokhlis Hazlie
Published: June 2024

: Leveraging the sustainability of the power system market, researchers have developed various ML models for forecasting electricity demand. The LSSVM is well suited to handle complex non-linear power load series. However, the less optimal regularization parameter and the Gaussian kernel function in the LSSVM model have contributed to flawed forecasting accuracy and random generalization ability. Thus, these parameters of LSSVM need to be chosen appropriately using intelligent optimization algorithms. This study proposes a hybrid model based on the LSSVM optimized by the IBFOA for forecasting the daily electricity load in Peninsular Malaysia. The IBFOA for parameter optimization of LSSVM is introduced. The IBFOA based on the sine cosine equation is proposed to adjust the constant step size in the BFOA, which creates an imbalance between the exploration and exploitation during optimization. Finally, the load forecasting model based on LSSVM-IBFOA is constructed using MAPE as the objective function. Comparative analysis demonstrates the model, achieving the highest R2 (0.9880) and significantly reducing error metrics (MAPE, MAE, RMSE, MSE, NRMSE) compared to the baseline LSSVM (average reduction of 27.72% to 47.72%). Additionally, IBFOA exhibits faster convergence and higher accuracy compared to BFOA, highlighting the accuracy of LSSVM-IBFOA for short-term load forecasting.
Efektifitas Latihan Fartlek Dan Latihan Circuit Terhadap Peningkatan VO2Max Pada Atlet Handball
Authors: Shidiq Haryanto  , Muh Isna Nurdin Wibisana  , Bertika Kusuma Prastiwi
Published: June 2024

Penelitian ini berlatar belakang pada atlet handball putra Kabupaten Demak yang masih memiliki nilai VO2max yang kurang dan serta minimnya variasi dan metode latihan untuk meningkatkan nilai VO2max pada atlet handball Kabupaten Demak. Penelitian ini dilakukan dengan tujuan untuk mengetahui peningkatan nilai VO2max pada atlet handball Kabupaten Demak menggunakan metode latihan fartlek dan latihan circuit. Penelitian ini dilakukan dengan pendekatan kuantitatif dengan desain penelitian yang digunakan dalam penelitian ini yaitu menggunakan metode eksperimen dengan desain two group pretest-posttest. Teknik pengumpulan data yang digunakan adalah : 1) teknik tes (progam latihan). Uji prasyarat data menggunakan validitas dan reliabilitas. Teknik analisis data yang digunakan statistik deskriptif dengan uji normalitas, uji homogenitas, dan uji hipotesis. Hasil penelitian dapat disimpulkan hasil mean atau rata-rata latihan fartlek dari pretest sebesar 33,24 menjadi posttest sebesar 35,74. Setelah dilakukan uji hipotesis paired sample T-test pada data pretest dan data posttest diperoleh nilai t hitung pretest dan posttest adalah sebesar -2,584 dengan sig (2-tailed) 0,030. Kemudian dari hasil nilai mean pretest dan posttest pada latihan fartlek terdapat nilai rata-rata selisih sebesar 2,5 dari hasil pretest dan posttest. Dapat disimpulkan bahwa ada pengaruh peningkatan vo2max pada atlet handball Kabupaten Demak tahun 2023 melalui latihan fartlek. Dapat disimpulkan hasil mean atau rata-rata hasil latihan circuit sebesar 33,25 menjadi posttest sebesar 34,89. Setelah dilakukan uji hipotesis paired sample T-test pada data pretest dan data posttest diperoleh nilai t hitung sebesar -2,454 dengan sig (2-tailed) 0,036. Kemudian dari hasil nilai mean atau rata-rata pretest dan posttest pada latihan circuit terdapat perbedaan atau nilai rata-rata selisis sebesar 1,64 dari hasil pretest dan posttest. Kemudian pada hasil latihan circuit  dapat disimpulkan bahwa ada peningkatan vo2max pada atlet handball Kabupaten Demak tahun 2023 melalui latihan circuit.
WITHDRAWN: A reliability analysis method for industrial robots based on double hierarchy hesitant fuzzy linguistic term set and TODIM
Authors: Zheng Xiuli , Wang Hui , Dai Jinkun
Published: June 2024

The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Early implant site development using a combination of DFDBA and T-PRF membrane for ridge preservation: A Pilot Clinical, Radiographic, Stereomorphic and Histologic Study
Authors: Oza Ranu , Dhadse Prasad , Bajaj Pavan , Hande Alka , Durge Khushboo , Bhombe Komal , Subhadarsanee Chitrika , Hassan Safiya
Published: June 2024

Objectives/ Background The primary objective of this study is to histologically evaluate new bone formation in the time frame of 12 to 14 weeks as opposed to a generally considered 16 to 20 weeks after extraction of teeth with ridge preservation using DFDBA and T-PRF membrane and secondarily to evaluate the dimensional changes including ridge width and height at these healing points. (Clinical and biometric evaluation). Materials & method: The protocol of this study has been registered in clinical trial registry (Registration number: CTRI/2021/12/038608). With the present single arm longitudinal pilot investigation including nine patients, 6 males and 3 females aged 18 to 50 years (mean 28.25 ± 6.5) requiring teeth extraction and delayed implant placement were selected to receive atraumatic extraction followed by simultaneous ridge preservation using T-PRF and DFDBA with T-PRF as biologic membrane. Results: Baseline values concerning the investigated parameters were comparable at the stipulated healing outcome period. After 12 to 14 weeks, there was no significant difference observed in alveolar ridge dimension. DFDBA & T-PRF combination revealed significantly greater vital bone formation. Investigation revealed no residual graft particles. On confirmation of achieved bone density through CBCT analysis; all implants were successfully placed at 12 to 14 weeks. Conclusion: When practiced, alveolar ridge preservation using DFDBA & T-PRF combination favours reduction in time for biologic basis of bone healing thus facilitating early implant placement to improve patient centred outcomes.
A Novel Based VLC Technology for Traffic Management System
Authors: Swetha Gutti Naga , Prasad V. Maruthi , Riyaz K .MD
Published: June 2024

The IEEE standard IEEE 802.15.7, Li-Fi is a technology that provides rapid connection by using visible light communication (VLC). This technology is equivalent to Wi-Fi in terms of its speed. There is a connection between the IEEE 802.11 standard for wireless communication and the IEEE 802.15.7 standard for wireless communication technology. High-speed, bidirectional, and completely networked capabilities are some of the distinguishing features of this technology. Li-Fi is the most cutting-edge technology that has ever been developed. Within the context of vehicle-to-vehicle communication, this initiative is succinct in order to prevent accidents. In order to determine the distances between the front cars and to determine the amount of vibration that is present in the vehicles, the ultrasonic sensor is used. This information is sent to the receiving car via the Li-Fi transmitter once the gas sensor has determined the amount of alcohol that the driver is under the influence of. In the event that the front car is experiencing any kind of abnormal situation, this vehicle will come to a halt on the second. The microcontroller's UART function is coupled to the Li-Fi component of the system. One kind of communication technology is called Light Fidelity, or Li-Fi for short. This technology makes use of light as a channel. The technology in question is known as visible light communication (VLC), and it eliminates the complexities associated with cable network connectivity. The evolution of Li-Fi over the last several years has shown that it is not only safe and effective, but also capable of transmitting data at very fast rates. Within the scope of this work, a communication system is described that uses light as a medium to regulate the speeds of two motors in order to communicate data from a transmitter to a receiver.
Microbial Sulfur Pathways and Outcomes in Tailings Impoundments: A Mesocosm Study
Authors: Gordon Jay , Apte Simon C. , Nelson Tara E. Colenbrander , Whaley-Martin Kelly , Twible Lauren E. , Chen LinXing , Liu Felica , McGarry Samantha , Banfield Jillian F. , Warren Lesley A.
Published: June 2024

In mine wastewaters, three microbial sulfur oxidation pathways have the potential to cause different water quality outcomes that can differ from abiotic model sulfate and acidity predictions, currently used to monitor potential sulfur risks. However, studies integrating microbiology and geochemistry in active mine tailings impoundments, are very limited. Here, we developed a novel diagnostic approach to detect microbially driven sulfur pathways. Within this 28-day study, eight, on-site, 500 L mesocosms were filled with water extracted directly from the water cap of an active Ni/Cu mine tailings impoundment. Diverse combinations of tailings, sulfur compound and nitrate amendments were added to the environmental mesocosms simulating common operational variations experienced by active tailings impoundments. Mesocosm results linked SOx, S4I, and incomplete SOx + rDSR pathway occurrence (metagenomes, inferred from the identity, i.e. 16S rRNA) and activity (mRNA) to physico-chemistry and S geochemistry. By integrating the three lines of evidence, the diagnostic approach was able to identify which S pathways were active under varying physico-chemical conditions and how sulfur geochemical outcomes were affected. A relationship emerged between acid generation and SoxCD occurrence, indicating complete SOx pathway activity. However, observed proton yields and sulfate concentrations were lower than those predicted by SOx pathway activity alone, indicating other pathways, e.g., SOx and the partial S4I pathways (within Thiomonas and Halothiobacillus), and/or activity of the incomplete SOx pathway (within Thiobacillus and Desulfurivibrio), when not coupled to rDSR and/or paired with use of nitrate, were influencing overall S outcomes.
D-Dimer Levels in Patients with Acute Venous Thromboembolism and Occult Cancer: TheDd-Neo Study
Authors: Cosmi Benilde , Lasala Elisa , Borgese Laura , Cavazza Stefania , Legnani Cristina , Sartori Michelangelo , Palareti Gualtiero
Published: June 2024

Introduction: Cancer is associated with a prothrombotic state and venous thromboembolism (VTE) can be the first manifestation of occult cancer. However, no impact on survival of extensive cancer screening in VTE has been demonstrated. Limited data are available on the association between D-dimer (DD), a non specific marker of activation of coagulation, at VTE diagnosis and occult cancer.
Objectives: to investigate whether DD levels at VTE diagnosis are associated with subsequent cancer development.
Design: retrospective cohort conducted in a single tertiary care hospital from 2008 to 2018.
Participants:consecutive patients diagnosed with symptomatic VTE and without known overt cancer underwent routine clinical evaluation and laboratory tests. In case of abnormal findings, further targeted tests were performed.
Primary outcome measures: cancer development within 12 months since VTE diagnosis.
Results: 843 patients (413 women - 49%, median age 67.3 years; 10 lost to follow-up -1.2%) were included of whom 567 (67%) had unprovoked VTE. Median DD was 2,750 ng/mL (range 30-45,320) and DD was above 8,000 ng/mL in 151 patients (18%). During follow-up, 37 patients (all above 60 years) developed new cancers (4.6 percent patient years; 95% Confidence Intervals-CI:3.3-6.3). Multivariate regression showed that age above 60 years (Hazard Ratio-HR 11.7; 95% CI: 1.58-86.6; p=0.016) and DD above 8,000 ng/mL (HR: 2.5 95% CI:1.22-5.24; p=0.012) were independently associated with subsequent cancer development.
Conclusions: Patients older than 60 years at VTE diagnosis may deserve extensive screening for occult cancer, and DD above 8,000 ng/mL may be a sign an index of occult cancer.
Global Research Trends on Sleep Health in Nursing Research: a Bibliometric and Visualized Analysis
Authors: Çağlar Songül
Published: June 2024

Aim: Sleep is an important phenemon of nursing practices. This study set to present a general overview of sleep publication in nursing research using bibliometric indicators.
Design: This study was a bibliometric analysis.
Methods:The global literatures about sleep in nursing research published were scanned in the Web of Science Core Collection (WoSCC) database. “Sleep” and “nursing” was used as the keyword to reach the relevant publications. VOSviewer was applied to perform the bibliometric analysis of these articles.
Results: A total of 2627 publications on sleep education were included. Most of the papers were research articles (2.320, 88.3%) and highest number of publications was in 2022 (247, 9.4%). The most common publication language was English (2.511; 95.6%). For the last five years, between 1133 publications have been made about sleep. The most three used keywords were “sleep,” “nurses,” and “fatigue”. The journal with the highest number of publications was Journal of Clınıcal Nursing (n=177, 6.8%). The journal most cited was Journal of Advanced Nursing (n=172, 6.5%). The most cited paper was " Advancing the science of symptom management " made by Dodd. in 2001 (648, total link= 30). In total, 1,777 authors published included papers. Ceolim MF was the most prolific authors with 23 publications (Universidade Estadual de Campinas). The United States is the country with the most publication (n=1.026, 39.5%).
Conclusions: This bibliometric study revealed the research points and trends in the field of sleep in nursing research. The study presented sleep researchers with the topics that attract attention for new research, the authors and countries that publish the most, and the journals that publish sleep articles most frequently.
Effect of Cultivar Variability on Physiological Response of Oil Palm to Drought Stress
Authors: Jaredi Zainab Sahabi , Shaharuddin Noor Azmi , Abdallah Siti Noor Akmar , Azzeme Azzreena Mohamad
Published: June 2024

Drought stress presents a daunting challenge to oil palm cultivation, provoking a number of morphological and physiological responses that impact growth and development. In this study, the effects of drought stress on three cultivars of oil palm, namely GH500 (GH), Yan-gambi (YM) and Carlix (CX) were investigated by subjecting them to varying degrees of drought conditions. Morphological alterations, including leaf drying and necrosis, along with reduced root mass and volume, were observed in drought-stressed seedlings compared to well-watered controls. Additionally, chlorophyll content exhibited distinct patterns among cultivars under different drought intensities, with GH showing pronounced sensitivity even to mild stress. Chlorophyll reduction was accompanied by diminished transpiration rates, indicating the plant's adaptive response to conserve water under stress conditions. Interestingly, the decline in chlorophyll concentration preceded the onset of severe drought, highlighting its potential as an early indicator of stress. Concurrently, photosynthesis exhibited a decreasing trend with increasing drought severity, reflecting the pivotal role of chlorophyll and intracellular CO2 concentration in sustaining photosynthetic activity. Despite reduced transpiration, CX and YM cultivars displayed a balance between photosynthesis and transpiration, indicating their adaptive capacity to maintain essential physiological functions. Based on these observations, it can be inferred that the YM and CX cultivars may possess higher resistance or tolerance to drought stress compared to the GH cultivar. The complex interplay between physiological parameters emphasize the multifaceted nature of oil palm's response to drought stress, with implications for its long-term viability and resilience in changing environmental conditions. Our findings shed light on the mechanisms underlying oil palm's response to drought stress and provide valuable insights for enhancing its stress tolerance and sustainability in the face of climate variability. Exploring the proteomics and metabolomics governing the plant response will go a long way in providing effective clues for interventions efforts to mitigate the effects of drought on oil palm.
Steam Turbine Anomaly Detection: An unsupervised learning using Enhanced LSTM Variational Autoencoder
Authors: Zhang Peng , xu weiming
Published: June 2024

As a core equipment of thermal power generation, steam turbines incur significant expenses and adverse effects on operation when facing interruptions like downtime, maintenance, and damage. Accurate anomaly detection is the prerequisite for ensuring the safe and stable operation. However, challenges in steam turbine anomaly detection, including inherent anomalies, the absence of temporal information analysis, and the complexity of high-dimensional data, leading to limitations in existing unsupervised methods. To address these issues, we propose an Enhanced Long Short-Term Memory Variational Autoencoder using Deep Advanced Features and Gaussian Mixture Model (ELSTMVAE-DAF_GMM) for precise unsupervised anomaly detection. Specifically, by integrating LSTM with VAE, the LSTMVAE model was introduced to project the high-dimensional time series data to a low-dimensional phase space. Furthermore, novel deep advanced features combine deep features and reconstruction errors from LSTMVAE, significantly enhancing anomaly detection performance by representing comprehensive information and exhibiting nonoverlapping distributions in phase space. Additionally, a sample selection mechanism is developed to eliminate anomalous samples during training, improving the model precision and reliability. The study utilizes real operating data from steam turbines and conducts both comparison and ablation experiments, demonstrating superior anomaly detection outcomes characterized by high accuracy and minimal false alarm rates compared to existing approaches.
Proud Parenting in the Junior Lifeguard Program
Authors: Belcher Danielle J. , Vickland Danielle Wong , Stellino Megan B.
Published: June 2024

Parental involvement has been shown to be a crucial factor in children’s successful participation in youth programs (Coakley, 2006). Beliefs in the potential growth for their child afforded through participation and the engagement that requires significant sacrifices (i.e., time, resources, finances) may be reasons why parents make specific choices associated with their children’s development (Jacobs, Vernon, & Eccles, 2005). The Junior Lifeguard (JG) program is a youth ocean safety and education program that utilizes the beach environment for cognitive, physical, and emotional development. The purpose of this study was to explore parents’ pride associated with their child(ren)’s participation in the JG program. Parents (N = 121) completed open-ended survey questions related to their pride in consideration of their child(ren)’s participation in the JG program. Thematic analyses of parents’ responses revealed an overarching theme of ‘Opportunity’ and two subthemes of ‘Development’ and ‘Community’ from the data. Parents’ motivation to provide their children with developmental opportunities through the JG program were evident through feelings of pride derived from tangential involvement.
Analysis of genes associated with Alzheimer's disease and endoplasmic reticulum stress
Authors: Liu Ziyu , Li Fei
Published: June 2024

Objecitve Endoplasmic reticulum (ER) stress can activate the unfolded protein response (UPR), and sustained activation of UPR is closely associated with inflammation and neuronal dysfunction, ultimately leading to neurodegeneration. This study aims to identify potential targets related to ER stress, aiming to provide new insights into the treatment of Alzheimer's disease (AD).
Methods We conducted differential expression analysis of the GSE4757 dataset in the Gene Expression Omnibus (GEO) database using the GEO2R tool and performed Venn analysis to identify differentially expressed genes (DEGs) related to ER stress. Subsequently, we annotated the functions of DEGs in GSE4757 and ER stress genes, constructed a protein-protein interaction network using Cytoscape, and identified hub genes.
Results The GSE4757 dataset contained a total of 407 DEGs, with 33 genes overlapping with those related to ER stress. The biological processes involved in these genes mainly include mesenchymal morphogenesis, muscle growth, and ossification regulation. KEGG analysis revealed that these genes mainly participate in cellular pathways such as the basal cell carcinoma signaling pathway, breast cancer, and pertussis signaling pathway. We also constructed a protein-protein interaction network of overlapping genes and identified four hub genes related to ER stress in AD by Cytoscape.
Conclusion We used bioinformatics to study the potential role of ER stress related genes in AD, analyzed the functions of hub genes and their involvement in biological processes, and revealed new targets for intervening in ER stress, thereby providing a new direction for treating AD.
An RMLU-DLNN and BF-GAO based heat transfer assessment of conformal cooling channel in injection molding process
Authors: Paraye Prashant , Sarviya R.M.
Published: June 2024

Injection molding is a widely utilized manufacturing process across various industries. The cooling time in injection molding is an important factor that affects the productivity and energy consumption of the process. The production efficiency is directly proportional to the cooling efficiency, yet optimizing this cooling process presents significant challenges. The fixed cooling parameters are not suitable for all types of material, thus increasing the molding deviation. To address these challenges, this research work proposed an RMLU-DLNN-based material prediction with optimization of derived variables using the BF-GAO approach. Initially, the features are extracted from the raw materials and then the material type is predicted by using RMLU-DLNN. Conversely, the various machine properties are clustered utilizing the BDDF-FFC methodology. Subsequently, parameters are derived from both the predicted material and the clustered machine property. The pressure of the machine is controlled by a QCO-PID controller. Then, the optimal parameters are selected from the BF-GAO algorithm. In the optimal parameter selection, the multi-objective is considered by minimization of temperature, cooling time, pressure drop, and power consumption. In experimental analysis, the performance of the proposed approach is analyzed with the existing approaches. The proposed approach attains 98.9% accuracy, which is higher than existing approaches.
Analysis of the trend of dry spells and how ocean factors affect its patterns during the summer monsoon in Bangladesh using the Mann-Kendall and Frontier Atmospheric General Circulation Model
Authors: Monir Md. Moniruzzaman , Sarker Subaran Chandra , Rahman Md. Mostafizur , Islam Md. Nazrul
Published: June 2024

To assess drought risk, susceptibility to food security, and water resource utilization, it is crucial to comprehend dry spell patterns from a hydrological perspective. Some regional studies have noted an extension of dry spells on a global and regional scale, but it is still unclear how often dry spells occur during the summer monsoon season, which is dominated by rainfall. This study uses the Mann-Kendall trend test to examine the trend of dry spells during Bangladesh's summer monsoon from 1985 to 2022 to close this gap. Using the Frontier Atmospheric General Circulation model and remote sensing methods to examine the effects of ocean elements such as Indian Ocean Dipole (IOD), Sea Surface Temperature (SST), El Niño-Southern Oscillation (ENSO) conditions, and the zonal wind. Daily rainfall data for 34 weather stations were obtained from the Bangladesh Meteorological Department, while surface water occurrence and change intensity data were retrieved from the JRC Global Surface Water Mapping Layers, v1.3 (FAO, UN). The NOAA Physical Sciences Laboratory (PSL) and the Tokyo Climate Center/WMO Regional Climate Centre in RA II (Asia) provided the IOD, SST, ENSO, and zonal wind data. A notable dry spell anomaly over Bangladesh was also noted in this research, with the short, medium-length, and long dry spells increasing in 82.35%, 73.53%, and 50% of weather stations. When El Niño was present, there was less of a dry spell and more during La Niña. The climatic variability of IOD events and SST anomalies in the eastern and western tropical Indian Ocean were also noted by this study to be connected to these anomalous events. The correlation coefficient between summer monsoon rainfall and DMI is 0.34. Throughout the study period, there were changes in the upper atmosphere's and lower troposphere's wind circulation. The study allows the prioritization of regions for drought, effective water resource management, and food scarcity preparedness.
Prosthodontic Rehabilitation with All-on-Four Implant Treatment Combined CAD/CAM Prosthesis in an Oral Cancer Patient: A Case Report
Authors: Huang Yi-Fang , Chang Chung-Ta , Lin Chih-Hung , Shen Yu-Fu
Published: June 2024

Background
The microvascular free fibula (MFF) flap is a reliable treatment modality for mandibular reconstruction and is suitable for dental implants placement after oncologic surgery. The most encountered problem of the MFF flap is the limited bone height, which usually causes excessive interarch space and increases the difficulty of prosthodontic therapy. Overcoming the physical limitations derived from tumor excision and shortening the treatment time of prosthodontic rehabilitation to recover quality of life are critical issues in clinics.
Case presentation:
A 64 y/o male suffering from lower left gum and bilateral buccal cancer received a single layer microvascular MFF flap to reconstruct the mandibular defect after a tumor excision. He received a bilateral modiolus Z-plasty combined skin flap debulking procedure to relief the oral contracture, and the mouth opening was adequate for prosthodontic rehabilitation. The scar tissue band on the bilateral check greatly impacted the retention and stability and restricted the performance of dental impression. The patient requested prosthodontic rehabilitation to improve his chewing function and life quality as soon as possible. The prosthodontic rehabilitation with all-on-4 implant therapy combining computer aided design and computer assisted manufacturing (CAD/CAM) was accomplished within one month.
Conclusion
This case utilized the all-on-4 implant system to overcome the insufficient fibular height for conventional dental implant placements. The dental CAD/CAM was used to mill the custom prosthetic abutment and huge titanium framework of the implant bar overdenture derived from the excessive interarch space between the grafted fibula and maxilla. This treatment modality successfully shortened the time of prosthodontic rehabilitation and overcame anatomic limitations.
Extrapyramidal spinal tracts impairment in patients with degenerative cervical myelopathy evaluated with the magnetization transfer saturation technique
Authors: Filimonova Elena , Abdaev Mars , Vasilenko Ivan , Kubetsky Yulij , Prokhorov Oleg , Rzaev Jamil
Published: June 2024

Study design:
Prospective case-control study.
Objectives
We investigated the use of the magnetization transfer saturation (MTsat) technique to assess the structural integrity of the spinal cord tracts in individuals with clinically significant degenerative cervical myelopathy (DCM) and associated disability.
Setting:
Novosibirsk Neurosurgery Center, Russia.
Methods
A total of 53 individuals diagnosed with DCM and 41 patients with cervical radiculopathy underwent high-resolution MRI of the cervical spinal cord via the magnetization transfer technique. The MRI data were processed using the Spinal Cord Toolbox (v5.5), with MTsat values determined for each spinal tract and compared between the two groups. Furthermore, associations between MTsat values and the clinical disability rates of patients were investigated.
Results
A significant decrease in the MTsat of the ventral spinocerebellar tract was observed in the DCM group compared to the control group (adjusted p < 0.001). There was a trend towards lower MTsat values in the rubrospinal tract in the DCM group (adjusted p = 0.08). Additionally, a decrease in MTsat values in the lateral funiculi of the spinal cord was found in patients with DCM (adjusted p < 0.01). Furthermore, a trend toward a positive correlation was observed between the JOA score and the MTsat values within the ventral spinocerebellar tract (R = 0.33, adjusted p = 0.051).
Conclusions
The findings of our study indicate that demyelination in patients with DCM affects mainly the ventral spinocerebellar and rubrospinal tracts, and the extent of changes in the ventral spinocerebellar tract is related to the severity of the condition.
Rationally synthesized framework polymer membranes enable high selectivity and barrierless anion conduction
Authors: Yang Zhengjin , Fang Junkai , Zhang Guozhen , Goulet Marc-Antoni , Zuo Peipei , Li Hui , Jiang Jun , Guiver Michael , Xu Tongwen
Published: June 2024

The understanding gleaned from studying ion transport within the interaction confinement regime enables the near-frictionless transport of cations (e.g., Na+/K+). However, anion transport (e.g., Cl-) is suppressed under confinement because of the different polarization of water molecules around cations and anions, also known as the charge asymmetry effect. Here we report the rational synthesis of anion-selective framework polymer membranes having similar densities of subnanometer-sized pores with nearly identical micropore size distributions, which overcome the charge asymmetry effect and promote barrierless anion conduction. We find that anion transport within the micropore free volume elements can be dramatically accelerated by regulating the pore chemistry, which lowers the energy barrier for anion transport, leading to an almost twofold increase in Cl- conductivity and barrierless F- diffusion. The resultant membrane enables an aqueous organic redox flow battery that utilizes Cl- ions as charge carriers to operate at extreme current densities and delivers competitive performance to counterparts where K+ ions are charge carriers. These results may benefit broadly electrochemical devices and inspire single-species selectivity with separation membranes that exploit controlled or chemically gated ion/molecule transport.