bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Wind over Complex Terrain Considering the Effects of Topography, Atmospheric Stability and Turbine Wakes
Authors: Yamaguchi Atsushi , Tavana Alireza , Ishihara Takeshi
Published: June 2024

This study proposes a microscale flow model to estimate mean wind speed, fluctuating wind speed and wind direction over complex terrain considering the effects of topography, atmospheric stability, and turbine wakes. Firstly, the effect of topography is considered using Computational Fluid Dynamics (CFD). Next, a mesoscale model is presented to account for the effect of atmospheric stability. The effect of turbine wakes on the mean and fluctuating wind speeds are then represented by an advanced wake model. The model is validated using the measurement data of a wind farm located in the North of Japan. The measured wind data by Lidar at a reference height are horizontally extrapolated to a nearby met mast hub height and validated by a cup anemometer. Moreover, a novel averaging method is proposed to calculate a directional equivalent Monin–Obukhov length scale to account for the effect of atmospheric stability. Finally, the measured wind data at the reference height are vertically extrapolated and validated at the lidar location. The predicted mean and fluctuating wind speeds show good agreement with the measurements.
Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs
Authors: Zafar Ahtsham , Parthasarathy Venkatesh Balavadhani , Van Chan Le , Shahid Saad , Khan Aafaq Iqbal , Shahid Arsalan
Published: June 2024

Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy has proven elusive. In this paper, we first introduce LLMXplorer, a comprehensive tool that provides an in-depth review of over 205 large language models (LLMs), elucidating their practical implications, ranging from social and ethical to regulatory, as well as their applicability across industries. Building on this foundation, we propose a novel functional architecture that seamlessly integrates the structured dynamics of knowledge graphs with the linguistic capabilities of LLMs. Validated using real-world AI news data, our architecture adeptly blends linguistic sophistication with factual rigor and further strengthens data security through role-based access control. This research provides insights into the evolving landscape of conversational AI, emphasizing the imperative for systems that are efficient, transparent, and trustworthy.
Molecular Methods for Detecting Microorganisms in Beverages
Authors: Nesterova Ekaterina , Morozova Polina , Gladkikh Mariya , Kazemzadeh Shima , Syromyatnikov Mikhail
Published: June 2024

Beverages are an integral component of a person’s food package. Various types of microorganisms widely contaminate beverages. This review presents current research data aimed at identifying dominant microorganisms in beverages and molecular methods for their detection. Wine, beer, dairy drinks, and fruit juices were selected as the main objects of the study. The most contaminated beverage turned out to be fruit juice. As a result of a large number of independent studies, about 23 species of microorganisms were identified in it. At the same time, they are represented not only by bacterial and fungal organisms, but also by protozoa. Milk turned out to be the least contaminated in terms of detected bacteria. The most common pollutants of these beverages were Staphylococcus aureus, Bacillus cereus, and Vibrio parahaemolyticus. It has been established that among pathogenic genera, Salmonella sp., Campylobacter sp. and Shigella sp. are often present in beverages. One of the main tools for the quality control of beverages at all stages of their production is different types of polymerase chain reaction. The sequencing method is used to screen for microorganisms in beverages. The range of variations of this technology makes it possible to identify microorganisms in alcoholic and non-alcoholic beverages. The high specificity of methods such as PCR-RFLP, Rep-PCR, qPCR, End-point PCR, qLAMP, the molecular beacon method, and RAPD enables fast and reliable quality control in beverage production. Sequencing allows researchers to evaluate the microbiological diversity of all the studied beverages, while PCR varieties have demonstrated different fields of application. For example, PCR-RFLP, RAPD-PCR, and PCR allowed the identification of microorganisms in fruit juices, qPCR, LAMP, and the molecular beacon method in wine, LAMP and multiplex PCR in milk, and End-point PCR and Rep-PCR in beer. However, it is worth noting that many methods developed for the detection of microbial contaminants in beverages were developed 10–20 years ago; modern modifications of PCR and isothermal amplification are still poorly implemented in this area.
Role of Spinal Cholecystokinin Octapeptide, Nociceptin/Orphanin FQ, and Hemokinin-1 in Diabetic Allodynia
Authors: Hayashi Takafumi , Kanno Syu-ichi , Watanabe Chizuko , Scuteri Damiana , Agatsuma Yasuyuki , Hara Akiyoshi , Bagetta Giacinto , Sakurada Tsukasa , Sakurada Shinobu
Published: June 2024

A complication of diabetes is neuropathic pain, which is difficult to control with medication. We have confirmed that neuropathic pain due to mechanical allodynia in diabetic mice is mediated by a characteristic neuropeptide in the spinal cord. We evaluated the strength of mechanical allodynia in mice using von Frey filaments. When mice were intravenously injected with streptozotocin, mechanical allodynia appeared 3 days later. Antibodies of representative neuropeptides were intrathecally (i.t.) administered to allodynia-induced mice 7 days after the intravenous administration of streptozotocin, and allodynia was reduced by anti-cholecystokinin octapeptide antibodies, anti-nociceptin/orphanin FQ antibodies, and anti-hemokinin-1 antibodies. In contrast, i.t.-administered anti-substance P antibodies, anti-somatostatin antibodies, and anti-angiotensin II antibodies did not affect streptozotocin-induced diabetic allodynia mice. Mechanical allodynia was attenuated by the i.t. administration of CCK-B receptor antagonists and ORL-1 receptor antagonists. The mRNA level of CCK-B receptors in streptozotocin-induced diabetic allodynia mice increased in the spinal cord, but not in the dorsal root ganglion. These results indicate that diabetic allodynia is caused by cholecystokinin octapeptide, nociceptin/orphanin FQ, and hemokinin-1 released from primary afferent neurons in the spinal cord that transmit pain to the brain via the spinal dorsal horn.
Pharmacological Potential of Three Berberine-Containing Plant Extracts Obtained from Berberis vulgaris L., Mahonia aquifolium (Pursh) Nutt., and Phellodendron amurense Rupr
Authors: Ciorîță Alexandra , Erhan Sabina-Emanuela , Soran Maria Loredana , Lung Ildiko , Mot Augustin Catalin , Macavei Sergiu Gabriel , Pârvu Marcel
Published: June 2024

Three berberine-containing plant extracts were investigated for their pharmacological properties. The stems and leaves of Berberis vulgaris, Mahonia aquifolium, and Phellodendron amurense were characterized through scanning electron microscopy. The plant extracts obtained from fresh stem barks were further analyzed through high-performance liquid chromatography, revealing berberine concentrations, among berbamine and palmatine. The plant extracts were further tested for their anticancer potential against 2D and 3D human skin melanoma (A375) and lung adenocarcinoma (A549) cell lines. The concentrations at which 50% of the cells are affected was determined by the viability assay and it was shown that B. vulgaris, the plant extract with the highest berberine concentration, is the most efficient inhibitor (0.4% extract concentration for the 2D model and 3.8% for the 3D model). The membrane integrity and nitrate/nitrite concentration assays were consistent with the viability results and showed effective anticancer potential. For further investigations, the B. vulgaris extract was used to obtain silver nanoparticles, which were characterized through transmission electron microscopy, energy dispersive spectroscopy, and X-ray diffraction. The formed nanoparticles have a uniform size distribution and are suited for future investigations in the field of biomedical applications, together with the B. vulgaris plant extract.
Preliminary Analysis of Hydrodynamic Drag Reduction and Fouling Resistance of Surfaces Inspired by the Mollusk Shell, Dosinia juvenilis
Authors: Hamilton Benjamin W. , Tutunea-Fatan O. Remus , Bordatchev Evgueni V.
Published: June 2024

Many species of plants and animals show an ability to resist fouling with surface topographies tailored to their environments. The mollusk species Dosinia juvenilis has demonstrated the ability to resist the accumulation of fouling on its outer surface. Understanding the functional mechanism employed by nature represents a significant opportunity for the persistent challenges of many industrial and consumer applications. Using a biomimetic approach, this study investigates the underlying hydrodynamic mechanisms of fouling resistance through Large Eddy simulations of a turbulent boundary layer above a novel ribletted surface topography bio-inspired by the Dosinia juvenilis. The results indicate a maximum drag reduction of 6.8% relative to a flat surface. The flow statistics near the surface are analogous to those observed for other ribletted surfaces in that the appropriately sized riblets effectively reduce the spanwise and wall-normal velocity fluctuations near the surface. This study supports the understanding that nature employs ribletted surfaces toward multiple functionalities including the considered drag reduction and fouling resistance.
Three-Dimensional Bioprinted Skin Microrelief and Its Role in Skin Aging
Authors: Sun Wenxuan , Wang Bo , Yang Tianhao , Yin Ruixue , Wang Feifei , Zhang Hongbo , Zhang Wenjun
Published: June 2024

Skin aging is a complex physiological process, in which cells and the extracellular matrix (ECM) interreact, which leads to a change in the mechanical properties of skin, which in turn affects the cell secretion and ECM deposition. The natural skin microrelief that exists from birth has rarely been taken into account when evaluating skin aging, apart from the common knowledge that microreliefs might serve as the starting point or initialize micro-wrinkles. In fact, microrelief itself also changes with aging. Does the microrelief have other, better uses? In this paper, owing to the fast-developing 3D printing technology, skin wrinkles with microrelief of different age groups were successfully manufactured using the Digital light processing (DLP) technology. The mechanical properties of skin samples with and without microrelief were tested. It was found that microrelief has a big impact on the elastic modulus of skin samples. In order to explore the role of microrelief in skin aging, the wrinkle formation was numerically analyzed. The microrelief models of different age groups were created using the modified Voronoi algorithm for the first time, which offers fast and flexible mesh formation. We found that skin microrelief plays an important role in regulating the modulus of the epidermis, which is the dominant factor in wrinkle formation. The wrinkle length and depth were also analyzed numerically for the first time, owing to the additional dimension offered by microrelief. The results showed that wrinkles are mainly caused by the modulus change of the epidermis in the aging process, and compared with the dermis, the hypodermis is irrelevant to wrinkling. Hereby, we developed a hypothesis that microrelief makes the skin adaptive to the mechanical property changes from aging by adjusting its shape and size. The native-like skin samples with microrelief might shed a light on the mechanism of wrinkling and also help with understanding the complex physiological processes associated with human skin.
Real-World Treatment Patterns, Clinical Outcomes, Healthcare Resource Utilization, and Costs in Advanced Hepatocellular Carcinoma in Ontario, Canada
Authors: Seung Soo Jin , Saherawala Hasnain , Kim YongJin , Tieu Jimmy , Wang Sharon , Shephard Cal , Bossé Dominick
Published: June 2024

The therapeutic landscape for aHCC has evolved in recent years, necessitating a comprehensive analysis of treatment patterns, clinical outcomes, HCRU, and costs to contextualize emerging treatments. This study aimed to investigate these outcomes using real-world data from Ontario, Canada. This retrospective cohort study was conducted using linked administrative databases from April 2010 to March 2020. Patients diagnosed with aHCC were included, and their clinical and demographic characteristics were analyzed, as well as treatment patterns, survival, HCRU, and economic burden. Among 7322 identified patients, 802 aHCC patients met the eligibility criteria for inclusion in the study. Treatment subgroups included 1L systemic therapy (53.2%), other systemic treatments (4.5%), LRT (9.0%), and no treatment (33.3%). The median age was 66 years, and the majority were male (82%). The mOS for the entire cohort from diagnosis was 6.5 months. However, patients who received 1L systemic therapy had an mOS of 9.0 months, which was significantly higher than the other three subgroups. The mean cost per aHCC-treated patient was $49,640 CAD, with oral medications and inpatient hospitalizations as the largest cost drivers. The results underscore the need for the continuous evaluation and optimization of HCC management strategies in the era of evolving therapeutic options.
Pancreatectomy with En Bloc Superior Mesenteric Vein and All Its Tributaries Resection without PV/SMV Reconstruction for “Low” Locally Advanced Pancreatic Head Cancer
Authors: Egorov Viacheslav , Kim Pavel , Dzigasov Soslan , Kondratiev Eugeny , Sorokin Alexander , Kolygin Alexey , Vyborniy Mikhail , Bolshakov Grigoriy , Popov Pavel , Demchenkova Anna , Dakhtler Tatiana
Published: June 2024

The “vein definition” for locally advanced pancreatic ductal adenocarcinoma (LA PDAC) assumes portal-to-superior mesenteric vein (PV/SMV) unreconstructability due to tumor involvement or occlusion. Radical pancreatectomies with SMV resection without PV/SMV reconstruction are scarcely discussed in the literature. Retrospective analysis of 19 radical pancreatectomies for “low” LA PDAC with SMV and all its tributaries resection without PV/SMV reconstruction has shown zero mortality; overall morbidity—56%; Dindo–Clavien—3–10.5%; R0—rate—82%; mean operative procedure time—355 ± 154 min; mean blood loss—330 ± 170 mL; delayed gastric emptying—25%; and clinically relevant postoperative pancreatic fistula—8%. In three cases, surgery was associated with superior mesenteric (n2) and common hepatic artery (n1) resection. Surgery was completed without vein reconstruction (n13) and with inferior mesenteric-to-splenic anastomosis (n6). There were no cases of liver, gastric, or intestinal ischemia. A specific complication of the SMV resection without reconstruction was 2–3 days-long intestinal edema (48%). Median overall survival was 25 months, and median progression-free survival was 18 months. All the relapses, except two, were distant. The possibility of successful SMV resection without PV/SMV reconstruction can be predicted before surgery by CT-based reconstructions. The mandatory anatomical conditions for the procedure were as follows: (1) preserved SMV-SV confluence; (2) occluded SMV for any reason (tumor or thrombus); (3) well-developed inferior mesenteric vein collaterals with dilated intestinal veins; (4) no right-sided vein collaterals; and (5) no varices in the upper abdomen. Conclusion: “Low” LA PDACs involving SMV with all its tributaries can be radically and safely resected in highly and specifically selected cases without PV/SMV reconstruction with an acceptable survival rate.
Social Isolation Induces Changes in the Monoaminergic Signalling in the Rat Medial Prefrontal Cortex
Authors: Csikós Vivien , Dóra Fanni , Láng Tamás , Darai Luca , Szendi Vivien , Tóth Attila , Cservenák Melinda , Dobolyi Arpád
Published: June 2024

(1) Background: The effects of short-term social isolation during adulthood have not yet been fully established in rats behaviourally, and not at all transcriptomically in the medial prefrontal cortex (mPFC). (2) Methods: We measured the behavioural effects of housing adult male rats in pairs or alone for 10 days. We also used RNA sequencing to measure the accompanying gene expression alterations in the mPFC of male rats. (3) Results: The isolated animals exhibited reduced sociability and social novelty preference, but increased social interaction. There was no change in their aggression, anxiety, or depression-like activity. Transcriptomic analysis revealed a differential expression of 46 genes between the groups. The KEGG pathway analysis showed that differentially expressed genes are involved in neuroactive ligand-receptor interactions, particularly in the dopaminergic and peptidergic systems, and addiction. Subsequent validation confirmed the decreased level of three altered genes: regulator of G protein signalling 9 (Rgs9), serotonin receptor 2c (Htr2c), and Prodynorphin (Pdyn), which are involved in dopaminergic, serotonergic, and peptidergic function, respectively. Antagonizing Htr2c confirmed its role in social novelty discrimination. (4) Conclusions: Social homeostatic regulations include monoaminergic and peptidergic systems of the mPFC.
Affinity of PET-MRI Tracers for Hypoxic Cells in Breast Cancer: A Systematic Review
Authors: Costin Ioana-Claudia , Marcu Loredana G.
Published: June 2024

Tumour hypoxia is a known microenvironmental culprit for treatment resistance, tumour recurrence and promotion of metastatic spread. Despite the long-known existence of this factor within the tumour milieu, hypoxia is still one of the greatest challenges in cancer management. The transition from invasive and less reliable detection methods to more accurate and non-invasive ways to identify and quantify hypoxia was a long process that eventually led to the promising results showed by functional imaging techniques. Hybrid imaging, such as PET-CT, has the great advantage of combining the structural or anatomical image (offered by CT) with the functional or metabolic one (offered by PET). However, in the context of hypoxia, it is only the PET image taken after appropriate radiotracer administration that would supply hypoxia-specific information. To overcome this limitation, the development of the latest hybrid imaging systems, such as PET-MRI, enables a synergistic approach towards hypoxia imaging, with both methods having the potential to provide functional information on the tumour microenvironment. This study is designed as a systematic review of the literature on the newest developments of PET-MRI for the imaging of hypoxic cells in breast cancer. The analysis includes the affinity of various PET-MRI tracers for hypoxia in this patient group as well as the correlations between PET-specific and MRI-specific parameters, to offer a broader view on the potential for the widespread clinical implementation of this hybrid imaging technique.
Batch-Injection Amperometric Determination of Glucose Using a NiFe2O4/Carbon Nanotube Composite Enzymeless Sensor
Authors: Nascimento Amanda B. , de Faria Lucas V. , Matias Tiago A. , Lopes Osmando F. , Muñoz Rodrigo A. A.
Published: June 2024

The development of sensitive and selective analytical devices for monitoring glucose levels (GLU) in biological fluids is extremely important for clinical diagnostics. In this work, we produced a new composite based on NiFe2O4 and multi-walled carbon nanotubes (MWCNT), called NiFe2O4@MWCNT, to be applied as a non-enzymatic amperometric sensor for GLU. Both NiFe2O4 and NiFe2O4@MWCNT composites were properly characterized by XRD, SEM, FTIR, and Raman spectroscopy, which confirmed that the composite was successfully prepared. A glassy-carbon electrode (GCE) modified with NiFe2O4@MWCNT was investigated by cyclic voltammetry and applied for the amperometric GLU detection using batch-injection analysis (BIA). A linear working range between 50 and 600 µmol L−1 GLU with a significant increase in sensitivity (3-fold) in comparison with MWCNT/GCE was verified, with a detection limit of 36 µmol L−1. Inter-electrode measurements (n = 4, RSD = 10%) indicated that the sensor fabrication is reproducible. Furthermore, the proposed non-enzymatic sensor was selective even in the presence of other biomarkers found in urine. When applied to synthetic urine samples, recovery levels between 84 and 95% confirmed analytical accuracy and the absence of sample matrix effect. Importantly, the developed approach is simple (free of biological modifiers), fast (77 injections per hour), and practical (high-performance tool), which are suitable features for routine analyses.
Advanced NIR-II Fluorescence Imaging Technology for Precise Evaluation of Nanomedicine Delivery in Cancer Therapy
Authors: Li Meng , Li Tuanwei , Wu Feng , Ren Feng , Xue Sumei , Li Chunyan
Published: June 2024

Tumors represent a significant threat to human health, underscoring the critical need for effective treatment strategies. However, conventional drug therapies are hampered by imprecise delivery, potentially leading to inadequate efficacy and severe side effects. The strategic development of nanomedicines is believed to harbor enormous potential for enhancing drug safety and efficacy, especially for precise, tumor-targeted therapies. Nevertheless, the fate of these nanomedicines within the human body is intricately governed by various physiological barriers and complex environments, posing challenges to predicting their behaviors. Near-infrared II (NIR-II, 1000–1700 nm) fluorescence imaging technology serves as a non-invasive, real-time monitoring method that can be applied for the precise evaluation of nanomedicine delivery in cancer therapy due to its numerous advantages, including high tissue penetration depth, high spatiotemporal resolution, and high signal-to-noise ratio. In this review, we comprehensively summarize the pivotal role of NIR-II fluorescence imaging in guiding the intratumoral precise delivery of nanomedicines and shed light on its current applications, challenges, and promising prospects in this field.
The Impact of Parental Involvement in the Prevention and Management of Obesity in Children: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Aleid Abdulsalam M. , Sabi Noor M. , Alharbi Ghaida Saleh , Alharthi Atheer A. , Alshuqayfi Sarah M. , Alnefiae Nirmeen S. , Ismail Gawaher M. , Allhybi Abdulaziz K. , Alrasheeday Awatif M. , Alshammari Bushra , Alabbasi Yasmine , Al Mutair Abbas
Published: June 2024

Background: Obesity in children is a critical public health issue in developed countries and developing countries. The establishment of health-related behaviors in childhood, significantly influenced by parental involvement, underscores the need for effective intervention measures. Aim: This original research is a systematic review and meta-analysis that aimed to investigate the impact of parental involvement on the prevention and management of childhood obesity, focusing on outcomes such as BMI z-score, exercise levels, screen time, dietary self-efficacy, and percentage body fat. Methods: Adhering to the PRISMA guidelines, we conducted a systematic review and meta-analysis of 12 randomized controlled trials (RCTs) identified through comprehensive searches of PubMed, Scopus, Web of Science, and the Cochrane Library, including RCTs involving children aged 2–18 years with parental or caregiver participation, reporting on the specified outcomes. Data analysis was performed using RevMan 5.3, employing a random effects model. Results: A total of 5573 participants were included. The meta-analysis revealed a significant reduction in BMI z-score (MD = −0.06, 95% CI: −0.09 to −0.02, p = 0.005, I2 = 58%), a non-significant increase in exercise levels (SMD = 0.26, 95% CI: −0.01 to 0.52, p = 0.05, I2 = 52%), and a significant reduction in screen time (MD = −0.36 h per day, 95% CI: −0.61 to −0.11, p = 0.005, I2 = 0%). Dietary self-efficacy also improved significantly (MD = 0.59, 95% CI: 0.12 to 1.05, p = 0.01, I2 = 0%). However, changes in percentage body fat did not reach statistical significance (MD = −1.19%, 95% CI: −2.8% to 0.41%, p = 0.15, I2 = 0%). Conclusion: Parental involvement in childhood obesity interventions significantly impacts BMI z-score, exercise levels, screen time, and dietary self-efficacy but not percentage body fat. These findings highlight the importance of engaging parents in obesity prevention and management strategies.
Intra- and Interobserver Variability in Ultrasound Measurement of Testicular Volumes in Pubertal Boys
Authors: Schäfer Frank-Mattias , Bürgener Daniel , Stehr Maximilian , Rompel Oliver
Published: June 2024

Accurate measurement of testicular volume (TV) in boys is an important tool in clinical practice, e.g., in varicocele treatment. This study aims to assess the degree of intra- and interobserver variability of testicular volume measurements. In a prospective study, boys between 11 and 17 years of age without testicular pathology were enrolled. Testicular ultrasound was performed by three investigators (A: pediatric radiologist; B: pediatric surgery/urology resident; C: pediatric urologist). Intraobserver variability was calculated in investigators B and C and interobserver variability between all three investigators. A total of 30 boys were enrolled. Mean intraobserver variability in both observers was +0.3% with a range of −39.6 to 51.5%. The proportion of measurements with a difference >20% was 18.6%. The mean interobserver variability was −1.0% (range: −74.1% to 62.8%). The overall proportion of measurements with a difference >20% was 35%. A lower testicular size of < 4 mL showed a significantly higher rate of >20% difference in both the intraobserver group (31.1% vs. 14.4%; p = 0.035) and the interobserver group (63.2% vs. 26.2%; p = 0.000031). Furthermore, the rate of >20% difference was significantly lower in obese compared to non-obese patients in both the intraobserver (2.8% vs. 22.4%; p = 0.0084) and the interobserver group (24% vs. 40.8%, p = 0.0427). Both intraobserver and interobserver variability in ultrasound-based TV measurements in pubertal boys contain a relevant degree of uncertainty that renders them unsuitable for individualized follow-up care. At the cohort level, however, mean differences in ultrasound-based TV measurements are low enough to make ultrasound comparisons reasonable.
Thermophilic Composting as a Means to Evaluate the Biodegradability of Polymers Used in Cosmetic Formulations
Authors: Gillece Timothy W. , Gerardi Helen K. , McMullen Roger L. , Thompson William T. , Brown Daniel H.
Published: June 2024

In the last decade, a growing demand for sustainable cosmetic ingredients has yielded numerous biodegradation protocols. While OECD (Organization for Economic Co-operation and Development) aquatic assays are suitable for water-borne chemicals, it is crucial for the personal care industry to consider the persistence of plastics in soil, compost, and municipal sludge. Adopting this cradle-to-grave holistic approach would strengthen product appeal while increasing the accuracy and ethical integrity of green product labeling. The aim of our study was to employ quantitative CO2 detection and thermophilic composting protocols specified in ASTM D5338, along with pass level criteria outlined in ASTM D6400, to assess the mineralization of plastics commonly formulated into personal care products. Our results indicate that many cellulose ethers, cationic guars, starches, proteins, and labile polyesters demonstrate satisfactory disintegration, biodegradation, and seed germination rates to secure an ASTM D6400 compostability claim. By contrast, macromolecules designed with carbon–carbon backbones resisted acceptable mineralization in composting experiments, advocating that unadulterated municipal compost lacks the microbial diversity to enzymatically digest many synthetically derived resins. Additionally, polymers that demonstrated acceptable biodegradability in internal and published OECD aquatic studies, including chitosan and polyvinyl alcohol, exhibited limited respiration in local municipal compost; hence, untested correlations between aquatic, soil, and compost testing outcomes should never be assumed.
Determining Factors Influencing Filipinos’ Behavioral Protection against COVID: Integrating Extended Protection Motivation Theory, Theory of Planned Behavior, and Ergonomic Appraisal
Authors: Gumasing Ma. Janice J. , Malabuyoc Frankern Luis S. , Ong Ardvin Kester S. , Saflor Charmine Sheena
Published: June 2024

This study examined the perceived protective behavior of Filipinos towards COVID-19. It utilized the extended protection motivation theory (PMT) and theory of planned behavior (TPB) models with the integration of ergonomic appraisal, applying partial least square structural equation modeling (PLS-SEM) to determine the factors affecting the protective behavior of Filipinos against COVID-19. A questionnaire was developed and distributed to 3000 Filipino citizens to measure the factors and their relationships. Results showed that understanding COVID-19 significantly influences the Filipinos’ perceived virus severity and vulnerability. In turn, perceived severity, self-efficacy, attitude, and subjective norms were the significant factors that affected the behavioral intention, impacting protective behavior. In addition, cognitive and macro ergonomics have been found to be the factors that influence the protective behavior of Filipinos against COVID-19. Thus, the study’s findings can be used as a framework for developing pandemic response initiatives that aim to inform and educate Filipinos, especially those who do not have the privilege of accessing information. Lastly, the outcome of this study can be used as a theoretical framework for future researchers who aim to conduct a study in a similar discipline.
Application of Organo-Modified Silica Nanoparticles to Improve the Load-Bearing Capacity of Bonded Joints of Dissimilar Steel Substrates
Authors: Guzanová Anna , Draganovská Dagmar , Tomáš Miroslav , Szelag Petr , Veligotskyi Nikita , Džupon Miroslav , Vojtko Marek
Published: June 2024

The paper deals with the joining of dissimilar steels by adhesive bonding. The base materials for the experimental work were deep-drawn low-carbon steel DC04, and hot-dip galvanized HSLA steel HX340LAD+Z. Adhesive bonding was performed using rubber-based and epoxy-based adhesives. The research aimed to verify the importance of surface preparation of steel substrates using a formulation with organically modified silica nanoparticles and epoxy organic functional groups, where one end of the functional group can be incorporated into the organic binder of the coating material and the other end can be firmly bonded to substances of an inorganic nature (metals). Since the binder base of adhesives is very similar to that of coatings, verifying the performance of this surface preparation when interacting with the adhesive is necessary. The load-bearing tensile shear capacity of single-lapped joints and the resistance of the joints against corrosion-induced disbanding in a climate chamber were tested. The energy dissipated by the joints up to fracture was calculated from the load-displacement curves. Bonded joints with organosilane were compared with joints without surface preparation and joints prepared by chroman-free zirconate passivation treatment. Exposure of the joints in the climatic chamber did not cause a relevant reduction in the characteristics of the joints. Organosilicate formulation was proved effective when bonding ungalvanized steels with a rubber-based structural adhesive, where it improves the bond quality between the adhesive and the substrate.
Optimization of Process Parameters and Microscopic Morphology of Multi-Walled Carbon Nanotubes/PEEK Films Using the Vacuum Suction Filtration Method
Authors: Liu Mingyu , Fu Hongya , Yu Songsong , Jin Ziang , Han Zhenyu , Sun Shouzheng
Published: June 2024

Multi-walled carbon nanotubes (MWCNTs) are a high-quality interlamination reinforcement material, but the high viscosity of polyetheretherketone (PEEK) prevents good fusion between MWCNTs and PEEK. This study proposes a method to achieve the complete integration of MWCNTs and PEEK through the preparation of a composite film using the vacuum suction filtration (VSF) method and optimizes the process parameters. An orthogonal experiment with three factors (filter paper pore size, ultrasonic dispersion time, and PEEK content) at three levels is designed, and mechanical performance testing and microscopic morphology observation are conducted. The influence of the three factors of filter paper pore size, ultrasonic time, and PEEK content on the elastic modulus and tensile strength of the film is investigated. The results are a filter paper pore size of 0.45 μm, ultrasonic time of 8.3 h, and PEEK content of 336.524 mg. The mechanical performance obtained under the optimal process parameters are an elastic modulus of 2437.5723 MPa and a tensile strength of 46.5196 MPa. This optimal process increases the elastic modulus by 12.3152% while maintaining a high tensile strength.
Maxent Predictive Species Distribution Models and Model Accuracy Assessment for Two Species of Psilochalcis Kieffer (Hymenoptera: Chalcididae) Occurring in the Eastern Great Basin of Utah, USA
Authors: Petersen Mark J. , Ortiz Cano Hector G. , Gomez Teresa , Johnson Robert L. , Anderson Val Jo , Petersen Steven L.
Published: June 2024

Two species of Psilochalcis wasps (P. minuta and P. quadratis) were recently described from Utah’s eastern Great Basin. The extent of their known distributions is extremely limited, based on few data points. We developed species distribution models (SDMs) using Maxent modeling software for each Psilochalcis species to identify areas of probable suitable habitat for targeted collecting to improve our knowledge of their distributions. We used six occurrence data points for P. minuta and eight occurrence data points for P. quadratis, along with ten environmental variables as inputs into the Maxent modeling software. Model-predicted areas with a potential suitable habitat value greater than 0.69 were mapped using ArcGIS Pro to help select locations for model accuracy assessment. Employing Malaise traps, eighteen sites were sampled to evaluate each SDM’s ability to predict the occurrence of Psilochalcis species. Psilochalcis minuta occurred at eight of nine juniper-dominated sample sites that were predicted as having high suitability by the model for this species. Likewise, P. quadratis occurred at two of four cheatgrass-dominated sample sites predicted by the model. Psilochalcis minuta occurred at three of nine sampled sites that were not predicted by the model, and P. quadratis occurred at seven of fourteen non-predicted sites. The Maxent SDM results yielded an AUC value of 0.70 and p-value of 0.02 for P. minuta and 0.68 and 0.02. for P. quadratis. These results were reflected in our model accuracy assessment. Of the selected environmental variables, aspect, historic fire disturbance, and elevation yielded the greatest percent contributions to both species’ models. Sympatric distributions were observed for P. minuta and P. quadratis. Elevation, vegetation type, NDVI, and soil type are the most important environmental variables in differentiating areas of optimal suitable habitat for the two species.
Bone Connectivity and the Evolution of Ichthyosaur Fins
Authors: Fernández Marta S. , Campos Lisandro , Manzo Agustina , Vlachos Evangelos
Published: June 2024

After the end-Triassic extinction, parvipelvian ichthyosaurs diversified and became dominant elements of marine ecosystems worldwide. By the Early Jurassic, they achieved a thunniform body plan that persisted for the last 100 m.y.a of their evolution. Diversification and extinctions of thunniform ichthyosaurs, and their swimming performance, have been studied from different perspectives. The transformation of limbs into hydrofoil-like structures for better control and stability during swimming predates thunniform locomotion. Despite their importance as control surfaces, fin evolution among thunnosaurs remains poorly understood. We explore ichthyosaur fin diversity using anatomical networks. Our results indicate that, under a common hydrofoil controller fin, the bone arrangement diversity of the ichthyosaur fin was greater than traditionally assumed. Changes in the connectivity pattern occurred stepwise throughout the Mesozoic. Coupled with other lines of evidence, such as the presence of a ball-and-socket joint at the leading edge of some derived Platypterygiinae, we hypothesize that fin network disparity also mirrored functional disparity likely associated with different capabilities of refined maneuvering. The ball-and-socket articulation indicates that this local point could be acting like a multiaxial intrafin joint changing the angle of attack and thus affecting the maneuverability, similar to the alula of flying birds. Further studies on large samples and quantitative experimental approaches would be worthy to test this hypothesis.
Differential Inflammatory Cytokine Elaboration in Serum from Brick Kiln Workers in Bhaktapur, Nepal
Authors: Curtis Katrina L. , Chang Ashley , Johnston James D. , Beard John D. , Collingwood Scott C. , LeCheminant James D. , Peterson Neil E. , South Andrew J. , Farnsworth Clifton B. , Sanjel Seshananda , Bikman Benjamin T. , Arroyo Juan A. , Reynolds Paul R.
Published: June 2024

Previous studies involving workers at brick kilns in the Kathmandu Valley of Nepal have investigated chronic exposure to hazardous levels of fine particulate matter (PM2.5) common in ambient and occupational environments. Such exposures are known to cause and/or exacerbate chronic respiratory diseases, including chronic obstructive pulmonary disease (COPD) and asthma. However, there is a paucity of data regarding the status of systemic inflammation observed in exposed workers at brick manufacturing facilities within the country. In the current study, we sought to elucidate systemic inflammatory responses by quantifying the molecular cytokine/chemokine profiles in serum from the study participants. A sample of participants were screened from a kiln in Bhaktapur, Nepal (n = 32; 53% female; mean ± standard deviation: 28.42 ± 11.47 years old) and grouped according to job category. Blood was procured from participants on-site, allowed to clot at room temperature, and centrifuged to obtain total serum. A human cytokine antibody array was used to screen the inflammatory mediators in serum samples from each of the participants. For the current study, four job categories were evaluated with n = 8 for each. Comparisons were generated between a control group of administration workers vs. fire master workers, administration workers vs. green brick hand molders, and administration workers vs. top loaders. We discovered significantly increased concentrations of eotaxin-1, eotaxin-2, GCSF, GM-CSF, IFN-γ, IL-1α, IL-1β, IL-6, IL-8, TGF-β1, TNF-α, and TIMP-2 in serum samples from fire master workers vs. administration workers (p < 0.05). Each of these molecules was also significantly elevated in serum from green brick hand molders compared to administration workers (p < 0.05). Further, each molecule in the inflammatory screening with the exception of TIMP-2 was significantly elevated in serum from top loaders compared to administration workers (p < 0.05). With few exceptions, the fire master workers expressed significantly more systemic inflammatory molecular abundance when compared to all other job categories. These results reveal an association between pulmonary exposure to PM2.5 and systemic inflammatory responses likely mediated by cytokine/chemokine elaboration. The additional characterization of a broader array of inflammatory molecules may provide valuable insight into the susceptibility to lung diseases among this population.
FFT-Based Probability Density Imaging of Euler Solutions
Authors: Cao Shujin , Chen Peng , Lu Guangyin , Ma Zhiyuan , Yang Bo , Chen Xinyue
Published: June 2024

When using traditional Euler deconvolution optimization strategies, it is difficult to distinguish between anomalies and their corresponding Euler tails (those solutions are often distributed outside the anomaly source, forming “tail”-shaped spurious solutions, i.e., misplaced Euler solutions, which must be removed or marked) with only the structural index. The nonparametric estimation method based on the normalized B-spline probability density (BSS) is used to separate the Euler solution clusters and mark different anomaly sources according to the similarity and density characteristics of the Euler solutions. For display purposes, the BSS needs to map the samples onto the estimation grid at the points where density will be estimated in order to obtain the probability density distribution. However, if the size of the samples or the estimation grid is too large, this process can lead to high levels of memory consumption and excessive computation times. To address this issue, a fast linear binning approximation algorithm is introduced in the BSS to speed up the computation process and save time. Subsequently, the sample data are quickly projected onto the estimation grid to facilitate the discrete convolution between the grid and the density function using a fast Fourier transform. A method involving multivariate B-spline probability density estimation based on the FFT (BSSFFT), in conjunction with fast linear binning appropriation, is proposed in this paper. The results of two random normal distributions show the correctness of the BSS and BSSFFT algorithms, which is verified via a comparison with the true probability density function (pdf) and Gaussian kernel smoothing estimation algorithms. Then, the Euler solutions of the two synthetic models are analyzed using the BSS and BSSFFT algorithms. The results are consistent with their theoretical values, which verify their correctness regarding Euler solutions. Finally, the BSSFFT is applied to Bishop 5X data, and the numerical results show that the comprehensive analysis of the 3D probability density distributions using the BSSFFT algorithm, derived from the Euler solution subset of x0,y0,z0, can effectively separate and locate adjacent anomaly sources, demonstrating strong adaptability.
The Universal Optimism of the Self-Evidencing Mind
Authors: Fisher Elizabeth L. , Hohwy Jakob
Published: June 2024

Karl Friston’s free-energy principle casts agents as self-evidencing through active inference. This implies that decision-making, planning and information-seeking are, in a generic sense, ‘wishful’. We take an interdisciplinary perspective on this perplexing aspect of the free-energy principle and unpack the epistemological implications of wishful thinking under the free-energy principle. We use this epistemic framing to discuss the emergence of biases for self-evidencing agents. In particular, we argue that this elucidates an optimism bias as a foundational tenet of self-evidencing. We allude to a historical precursor to some of these themes, interestingly found in Machiavelli’s oeuvre, to contextualise the universal optimism of the free-energy principle.
A Possibilistic Formulation of Autonomous Search for Targets
Authors: Chen Zhijin , Ristic Branko , Kim Du Yong
Published: June 2024

Autonomous search is an ongoing cycle of sensing, statistical estimation, and motion control with the objective to find and localise targets in a designated search area. Traditionally, the theoretical framework for autonomous search combines sequential Bayesian estimation with information theoretic motion control. This paper formulates autonomous search in the framework of possibility theory. Although the possibilistic formulation is slightly more involved than the traditional method, it provides a means for quantitative modelling and reasoning in the presence of epistemic uncertainty. This feature is demonstrated in the paper in the context of partially known probability of detection, expressed as an interval value. The paper presents an elegant Bayes-like solution to sequential estimation, with the reward function for motion control defined to take into account the epistemic uncertainty. The advantages of the proposed search algorithm are demonstrated by numerical simulations.
Tsallis Entropy-Based Complexity-IPE Casualty Plane: A Novel Method for Complex Time Series Analysis
Authors: Chen Zhe , Wu Changling , Wang Junyi , Qiu Hongbing
Published: June 2024

Due to its capacity to unveil the dynamic characteristics of time series data, entropy has attracted growing interest. However, traditional entropy feature extraction methods, such as permutation entropy, fall short in concurrently considering both the absolute amplitude information of signals and the temporal correlation between sample points. Consequently, this limitation leads to inadequate differentiation among different time series and susceptibility to noise interference. In order to augment the discriminative power and noise robustness of entropy features in time series analysis, this paper introduces a novel method called Tsallis entropy-based complexity-improved permutation entropy casualty plane (TC-IPE-CP). TC-IPE-CP adopts a novel symbolization approach that preserves both absolute amplitude information and inter-point correlations within sequences, thereby enhancing feature separability and noise resilience. Additionally, by incorporating Tsallis entropy and weighting the probability distribution with parameter q, it integrates with statistical complexity to establish a feature plane of complexity and entropy, further enriching signal features. Through the integration of multiscale algorithms, a multiscale Tsallis-improved permutation entropy algorithm is also developed. The simulation results indicate that TC-IPE-CP requires a small amount of data, exhibits strong noise resistance, and possesses high separability for signals. When applied to the analysis of heart rate signals, fault diagnosis, and underwater acoustic signal recognition, experimental findings demonstrate that TC-IPE-CP can accurately differentiate between electrocardiographic signals of elderly and young subjects, achieve precise bearing fault diagnosis, and identify four types of underwater targets. Particularly in underwater acoustic signal recognition experiments, TC-IPE-CP achieves a recognition rate of 96.67%, surpassing the well-known multi-scale dispersion entropy and multi-scale permutation entropy by 7.34% and 19.17%, respectively. This suggests that TC-IPE-CP is highly suitable for the analysis of complex time series.