Average Dimensions Research Articles

Insights into the effects of river network topology on sudden pollution risks

The risk of sudden water pollution is one of the biggest obstacles to ensuring the safety of river basin water environments. While external pressure factors such as illegal discharge have been extensively studied with regard to their impact on the risk of sudden pollution, the influence of the river network topology has received limited attention. To fill this gap, extensive computational experiments were conducted in this study to investigate the effects of river network topology on the potential risk of sudden pollution. Based on the real-world characteristics of dendritic river networks, we used optimal channel networks to generate various river network topologies, represented by seven indicators that encompass morphology, connectivity, and structure. The water quality model simulated the spatial and temporal responses of the samples to a wide range of sudden pollution scenarios, and quantified the associated risk of sudden pollution using three proxy indicators: the maximum standard-exceeding multiple, proportion of standard-exceeding river length, and duration of exceedance. The results showed that among the seven indicators, the average outlet path (Do) and geometric fractal dimension (Dg) had a significant impact on risk. This is because network topology alters hydrological signatures such as discharge, velocity, and travel time. Moreover, multi-group analysis of structural equations revealed that the aspect ratio influences the impact of structural and connectivity indicators on risk by modulating pollution range and concentration. This study revealed the topological factors of the risk of sudden water pollution in dendritic river networks, emphasizing the regulatory role of topology in potential sudden water pollution risk and providing valuable insights for river management and planning.

Average general fractal dimensions of typical compact metric spaces

The main objective of this paper is to investigate the average general fractal dimensions of typical compact metric spaces within the Gromov-Hausdorff space, using the Gromov-Hausdorff metric. As an application of the main results, we demonstrate that a typical compact metric space Σ exhibits such irregularity that the lower and upper average general Hewitt-Stromberg dimensions, as well as the general box dimensions corresponding to all higher-order Hölder and Cesàro averages, diverge significantly.

Pore-throat structure, fractal characteristics and permeability prediction of tight sandstone: the Yanchang Formation, Southeast Ordos Basin

As a typical tight reservoir and an important site for unconventional hydrocarbon accumulation, the Chang 6 member of the Yanchang Formation is characterized by complex pore structures and strong heterogeneity. Analysing and characterizing the pore-throat structure is highly important for optimizing oil recovery processes. To clarify the nonhomogeneity and structural characteristics of the pore throats in the southeastern Ordos Basin, tight sandstone from the Chang 6 member was selected for analysis. Casting thin section (CTS), scanning electron microscopy (SEM), cathodoluminescence (CL), X-ray diffraction (XRD), and mercury intrusion capillary pressure (MICP) analyses were conducted. The results, revealed that intergranular pores, feldspar-dissolved pores, intergranular-dissolved pores, and microfractures were the predominant pore types found within the samples. By combining the results of MICP analysis with those of fractal theory, the pore–throat structure of each sample can be categorized into two types: large-scale and small-scale. Fractal theory was employed to characterize the complex and irregular pore–throat structure of the reservoir quantitatively. The average fractal dimension of large pores (D1) was 2.8094, whereas for small pores (D2), it was slightly lower than that of large pores, averaging 2.5325. These findings underscore that large-scale pore-throat structures are more complex and exhibit greater heterogeneity. Compared with those of large pores, the pore–throat structure parameters of small pores exhibit a more significant correlation with reservoir properties and fractal dimensions. Therefore, small pores are the primary contributors to the reservoir storage space and are key factors influencing the pore-throat structure of the Chang 6 tight sandstone. Based on the pore-throat radius and considering the influence of fractal characteristics on the pore structure, a nonlinear permeability prediction model was created using multiple regression analysis. Among these equations, the pore–throat radius corresponding to a mercury saturation of 40% (r40) emerged as the most effective predictor of permeability for tight sandstone. The investigation of micropore–throat structures in tight oil reservoirs holds practical significance for comprehending the distribution and accumulation of tight oil and guiding oil field development.

Advancements in Target Detection: A Comparative Analysis of Deep Learning Models for Real-Time Applications

Abstract. Target detection is a vital field within computer vision, playing an essential role in applications. This paper investigates the advancements and efficiencies of contemporary target detection methodologies, focusing on deep learning frameworks. Through a systematic review and evaluation of these models' architectures and performances using the Common Objects in Context (COCO) dataset, the study highlights their operational effectiveness and practical implications in real-world scenarios. A detailed comparative analysis is conducted, assessing the models based on mean Average Precision (mAP) and input dimensions to determine their suitability across various detection tasks. You Only Look Once version 3 (YOLOv3), in particular, is recognized for its ability to combine high-speed detection with significant accuracy, effectively addressing real-time processing challenges. The results confirm that YOLOv3, despite its smaller input size, performs comparably to more complex systems, demonstrating notable enhancements in design efficiency and processing speed. This research underscores the potential for future optimizations in model architectures to bridge the gap between high-speed and high-accuracy detection tasks, potentially transforming real-time applications across multiple sectors. The practical significance of this work lies in its ability to guide future developments in object detection, benefiting both academic research and industrial applications.

Antidiabetic, anti-inflammatory, antioxidant, and cytotoxicity potentials of green-synthesized zinc oxide nanoparticles using the aqueous extract of Helichrysum cymosum

The current research involved the synthesis of zinc oxide nanoparticles (ZnO-NPs) using an aqueous extract of Helichrysum cymosum shoots, and subsequent characterization via different analytical methods, such as UV–Vis spectroscopy, Scanning electron microscope (SEM), Energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Transmission electron microscope (TEM), and zeta potential. The biological effects of the ZnO-NPs were then tested against C3A hepatocyte cells and L6 myocyte cell lines via series of analysis, including cytotoxicity, antioxidant, anti-inflammatory, and antidiabetic effect via enzymatic inhibition. The UV–Vis analysis showed a maximum absorption spectrum at 360, and the TEM analysis reveals a spherical and hexagonal structures, with an average dimension of 28.05–58.3 nm, and the XRD reveals a crystalline hexagonal structure. The zeta potential evaluation indicated that the ZnO-NPs are relatively stable at − 20 mV, and the FTIR analysis identified some important functional group associated with phenolics, carboxylic acid, and amides that are responsible for reducing and stabilizing the ZnO-NPs. The synthesized ZnO-NPs demonstrated cytotoxic effects on the cell lines at higher concentrations (125 µg/mL and 250 µg/mL), complicating the interpretation of the results of the inflammatory and antioxidant assays. However, there was a significant (p < 0.05) increase in the inhibitions of pancreatic lipase, alpha-glucosidase, and alpha-amylase, indicating beneficial antidiabetic effects.

Clinical Outcomes and Applicability of Serratus Anterior Muscle Flap With Split Thickness Skin Graft in Thin Resurfacing Reconstructive Surgeries: A Retrospective Analysis.

This retrospective study evaluates the efficacy of the serratus anterior muscle (SAm) free flap combined with a split thickness skin graft (STSG) for thin resurfacing in reconstructive surgery, presenting an alternative to pure skin perforator flaps. It analyzes 14 SAm free flap procedures performed between January 2015 and December 2023. The study cohort comprised 5 women and 9 men, aged 31-80 years, addressing defects caused by infection, malignancy, burn, and trauma, located in various body parts.The study involves harvesting the SAm flap while focusing on anatomical features such as the distinct direction of muscle fibers and the surface location of the vascular pedicle for efficient dissection. It emphasizes the anatomical advantages of the SAm flap, such as robust vascular supply, controlled flap thickness, and preservation of the long thoracic nerve, making it suitable for a range of surgical needs. Complications included STSG loss, partial necrosis, and infection, all managed effectively. Postoperative shoulder function assessment showed no significant impairment.Results demonstrated the successful application of the SAm flap in all cases, with an average flap dimension of 38.21 cm2 and pedicle length of 7.3 cm. The average operation time was 122.1 minutes. The study underscores the SAm flap's adaptability, versatility, and minimal donor site morbidity.It concludes that the SAm flap, in conjunction with STSG, is a viable alternative for thin resurfacing in reconstructive surgery. However, limitations such as the small sample size and procedural variability suggest the need for further research to fully establish the flap's potential in diverse surgical contexts.

Research on Spatial Morphological Characteristics and Influencing Factors of Industrial Heritage: A Case Study of Nine Industrial Heritages in Guizhou Province

Industrial heritage, recognized as a significant aspect of historical and cultural heritage, has garnered considerable attention from scholars globally. To elucidate the spatial morphological characteristics and the underlying influencing factors of industrial heritage within karst regions, this study employs methods such as the interstice index, fractal dimension analysis, and spatial syntax. It conducts research on the spatial morphological characteristics of nine typical industrial heritages in Guizhou Province. The primary factors contributing to the variations in layout forms are the intricate karst topography and the functional requirements of production. The functional zoning of industrial heritage aligns with its layout, characterized by straightforward functional zones that have not developed into composite spaces. The overall connectivity of industrial heritage is relatively low, exhibiting weak integration, significant disparities in control values, low average depth values, and a deficiency in comprehensibility and diversity of options. This indicates that the internal connectivity of industrial heritage spaces is generally inadequate, with low accessibility, strong interrelations, average convenience, limited connectivity, and generally acceptable passage. The overall spatial, architectural, and roadway configurations of industrial heritage predominantly exhibit a uniform pattern. Importantly, industrial heritage reveals a highly variable overall spatial form, with an average fractal dimension of 1.57, complex architectural layouts (average fractal dimension of 1.50), and simplistic road network designs (average fractal dimension of 1.43), which collectively suggest high spatial complexity and irregular characteristics. This study can provide a reference for the analysis of spatial characteristics and influencing factors of other material cultural heritages, and it is of great significance for the systematic protection and revitalization of industrial heritage.

Design and Control of Polymeric Network Architectures Based on Network Dimension Theory

AbstractA new design policy to synthesize nanogel molecules having desired dimensions under unperturbed state is proposed. Miniemulsion copolymerization of vinyl and divinyl monomers, both conventional free‐radical polymerization and ideal living polymerization, is used to illustrate the method. For the network formation dynamics, the newly proposed model that takes into account the size and structure dependence of cross‐linking/cyclization reactions is employed. The master curve relationship that indicates the maximum average dimensions for randomly cross‐linked networks is used as a guideline and the network dimension is controlled by the magnitude of network maturity index NMI, which is the average number of cycle rank per primary chain. By appropriately sizing the NMI, it is possible to synthesize network polymers with dimensions equal to or greater than the maximum dimensions achievable with a homogeneous, randomly cross‐linked network polymer of the same cycle rank and molecular weight. The current strategy of designing and controlling 3D size is applicable regardless of the reaction mechanism of network formation and will also be applied to the synthesis of macro‐gels.

Polymer organic framework-based ratiometric fluorescent probe for non-enzymatic glucose detection

Fluorescent pyrene-based polymer organic frameworks (POFs) PY-POFs were designed and synthesized by a facile solvothermal route for glucose detection, employing melamine, aromatic dialdehydes, 1-pyrenecarboxaldehyde, and phenylboronic acid as building blocks. The structure and photophysical properties of as-prepared POFs were systematically characterized via Fourier-transform infrared spectroscopy, X-ray photoelectron spectroscopy, scanning electron microscopy, transmission electron microscopy, N2 adsorption isotherms and fluorescence spectroscopy. The PY-POFs possessed intrinsic microporosity derived from extensively interlinked aminal structures, boasting specific surface areas reaching 192 m²/g, pore volumes extending to 0.8079 cm³/g, pore diameters of up to 17 nm, and an average particle dimension of ∼ 31 nm. In addition, the PY-POFs exhibited a dual-wavelength emission of pyrene excimer (λem = 472 nm) and monomer (λem = 382, 400, and 422 nm). When exposed to glucose, the former emission decreased while the latter increased, corresponding to the conformational transition of pyrene molecule from excimer to monomer. The non-enzymatic ratiometric fluorescent sensor displayed remarkable sensitivity towards glucose within 10−200 μM range, with a limit of detection (LOD) of 5.6 µM. Moreover, the glucose detection ability of PY-POFs was also in vivo demonstrated within zebrafish. Application of this sensor to real samples such as human saliva and DMEM biological matrix presented satisfactory results and good reproducibility. These results indicate that the fluorescent glucose sensor PY-POFs have broader prospects for utilization within biological studies.

Insights into the ternary substitution Na2.96+xK0.04 V2-xNix(PO4)2.98F0.06 with superior rate capability and near-zero strain property

Na3V2(PO4)3 (NVP) is considered the most favorable cathode for sodium-ion batteries due to its solid NASICON skeleton. Nevertheless, poor intrinsic conductivity is insufficient for its further commercialization. In this paper, we present a promising K/Ni/F co-doped and carbon nanotubes (CNTs) encapsulated Na2.96+xK0.04 V2-xNix(PO4)2.98F0.06 (KNF@CNTsx) cathode materials. The synthesis of KNF@CNTsx is achieved using a facile sol-gel method. The replacement of Na+ with K+ broadens the migratory pathway and supports the crystal skeleton, while F− substitution reduces the average grain dimension, thereby increasing the diffusion rate of Na+. Furthermore, the reduction of resistance by Ni2+ doping enables optimization of the transport of electrical charge, while also facilitating the optimization of chemically-defined properties. Concurrently, the optimal quantity of carbon capping and wrapping of CNTs facilitate the formation of efficacious conductive network, which diminishes the size of grains and shortens the pathway for the diffusion of Na+. This network could also serve as a buffer against crystal deformation. In conclusion, the modified KNF@CNTsx samples exhibit notable enhancements in their conductivity, ion diffusion capacity, and structural stability. Among them, the KNF@CNTs0.04 sample exhibits a capacity for reversibility of 93.3 mAh g−1 at 50C, with a remaining capacity of 68.5 mAh g−1 after 4000 successive long charge-discharge cycles. Ex-situ electrochemical XRD demonstrates the V3+/V4+ redox reaction occurs accompanied by the phase transfer reaction, during which Na+ prefers to diffuse along c-axial in the crustal structure. Moreover, volume alteration of this KNF@CNTs0.04 cellular entity is miniscule and reversible during the charge-discharge process, further confirming the stabilized construction and near-zero strain property. The after-cycled XRD/SEM/XPS certify the improved chemical and structural stability of KNF@CNTs0.04, indicating the constructive effects of K/Ni/F ternary substitution.

Predictive Factors of Canine Malignant Hepatic Diseases with Multifocal Hepatic Lesions Using Clinicopathology, Ultrasonography, and Hepatobiliary Ultrasound Scores

Multifocal hepatic lesions in dogs arise from various benign and malignant liver diseases. Diagnosing these lesions is challenging because clinical signs, hematological data, and serum biochemistry are not definitive indicators. Ultrasound is utilized as a diagnostic imaging tool to evaluate liver parenchyma and detect hepatic lesions. This study aims to investigate the predictive factors that differentiate between benign and malignant multifocal hepatic lesions by examining ultrasound characteristics, blood tests, and serum biochemistry. In total, 43 dogs with multifocal hepatic lesions were included in this study. All dogs were classified into benign hepatic diseases (n = 32) and malignant haptic diseases (n = 11). For all dogs, their liver characteristics, lesion characteristics, and hepatobiliary ultrasound score by ultrasound were evaluated and we collected individual clinicopathological data for analysis. The findings of the univariate analysis revealed significant differences in four hematological and blood chemical parameters (hematocrit, white blood cell count, aspartate transaminase (AST), and alkaline phosphatase (ALP)) and six ultrasonographic parameters (liver parenchymal echogenicity, lesion homogeneity, lesion echogenicity, maximum lesion dimension, average lesion dimension, and hepatobiliary ultrasound score). Using multivariate analysis, only two parameters, hepatobiliary ultrasound score and lesion homogeneity, showed significant differences (p-value &lt; 0.001 and p-value = 0.011, respectively). Additionally, these parameters demonstrated high accuracy in predicting malignant multifocal liver lesions, with accuracy rates of 97.67% and 93.02%, respectively. Therefore, the hepatobiliary ultrasound score and lesion homogeneity are considered effective parameters for screening malignant multifocal liver lesions in dogs.

Peningkatan Hasil Belajar dan Bernalar Kritis Kelas X SMAN 1 Pagak Materi Bersikap Kritis dan Bertanggung Jawab terhadap Media Massa melalui Problem Based Learning

The teaching methods applied in grade X at SMAN 1 Pagak are still lacking in variety, leading to students' low critical reasoning skills and the failure to achieve the target in the proficient and skilled categories. This research aims to improve students' learning outcomes and target achievement through the implementation of Problem Based Learning (PBL). The Classroom Action Research (CAR) was conducted in two cycles with the material "Being Critical and Responsible towards Mass Media", each consisting of four stages: planning, action, observation, and reflection. The research subjects were nine students from grade X Phase E at SMAN 1 Pagak. The research indicators included idea and information clarification, idea and information analysis, use of sources, and prioritization of relevant ideas. The results of the study showed that the Problem Based Learning (PBL) method was able to improve learning achievements: from 0% proficient, 44% skilled, 56% adequate, and 0% developing, to 56% proficient, 44% skilled, 0% adequate, and 0% developing. The results also demonstrated that the Problem Based Learning (PBL) method was able to enhance the Pancasila Student Profile (P3) character, specifically in the critical reasoning dimension. The average critical reasoning dimension increased from 60% to 80%. The recommendation is to focus on one dimension by choosing a teaching method that is both engaging and activating.

Scanning electron microscopy and light microscopy of tongue, fingers, toes, nuptial pad, and humeral gland in Sylvirana nigrovittata (Anura: Ranidae)

The micromorphology and histology of anuran skin, particularly in Thai species, remain relatively understudied. Anurans use their tongues for prey capture and their hands and feet for adhesion and mating, suggesting a close relationship between micro-surface features and histological structure. Information on Sylvirana nigrovittata is particularly limited. This study provides a detailed examination of the micro-surface and histological characteristics of the tongue, fingers, toes, nuptial pad, and humeral gland in S. nigrovittata. Specimens collected from Phu Luang Wildlife Sanctuary in Loei province, northeastern Thailand, were studied using scanning electron microscopy (SEM) for micro-surface features and H&amp;E staining for histological details. SEM micrographs revealed that the tongue was cordate-shaped, with about 75% of its surface covered by filiform papillae and 25% by fungiform papillae housing taste buds. Filiform papillae were trapezoidal, averaging 23.88±5.68 µm in width and 38.83±6.57 µm in length, while fungiform papillae were disc-like, averaging 52.95±14.64 µm in width and 66.70±15.88 µm in length. Digital pads on fingers and toes presented prismatic cells, with fingertip cells averaging 7.09±0.97 µm in width and 11.81±1.24 µm in length, and toe cells averaging 8.40±1.37 µm in width and 11.28±1.63 µm in length. Subdigital surfaces were smoother, containing squamous cells with dimensions of 10.65±3.21 µm in width and 21.29±4.35 µm in length. Subarticular tubercles were composed of prismatic cells with hexagonal or pentagonal surfaces, averaging 10.02±2.85 µm in width and 13.08±1.94 µm in length. Nuptial pad displayed cylindrical structures with dome-like tips, averaging 24.01±3.96 µm in width and 21.16±4.37 µm in length, and feature mucous openings. They consisted of a thick keratinized stratified squamous epithelium and a dense dermis with specialized mucous glands. Humeral gland exhibited rough surfaces with squamous cells and microridges, showing both small and large mucous openings, with average cell dimensions of 16.23±1.70 µm in width and 19.11±2.05 µm in length. Histological analysis confirmed that these structures were predominantly composed of keratinized stratified squamous epithelium, with variations in dermal collagen density and mucous gland distribution. This study enhances our understanding of the skin and gland morphology in S. nigrovittata, highlighting on its anatomical and functional adaptations.

The Failure of Galois Descent for p-Selmer Groups of Elliptic Curves

Abstract We show that if F is $\mathbb{Q}$ or a multiquadratic number field, $p\in\left\{{2,3,5}\right\}$ , and $K/F$ is a Galois extension of degree a power of p, then for elliptic curves $E/\mathbb{Q}$ ordered by height, the average dimension of the p-Selmer groups of $E/K$ is bounded. In particular, this provides a bound for the average K-rank of elliptic curves $E/\mathbb{Q}$ for such K. Additionally, we give bounds for certain representation–theoretic invariants of Mordell–Weil groups over Galois extensions of such F. The central result is that: for each finite Galois extension $K/F$ of number fields and prime number p, as $E/\mathbb{Q}$ varies, the difference in dimension between the Galois fixed space in the p-Selmer group of $E/K$ and the p-Selmer group of $E/F$ has bounded average.

EVALUASI PELAKSANAAN MANDATORY TRAINING ONLINE DENGAN MODEL KIRKPATRICK PADA HOLIDAY INN RESORT NUSA DUA

Abstrak This study aims to obtain an overview of the implementation of Mandatory Online Training based on Kirkpatrick's Evaluation Models at the Holiday Inn Resort Bali Nusa Dua. Data were collected through the distribution of questionnaires and analyzed using quantitative descriptive techniques. The questionnaires were given to permanent and contract employees, excluding daily workers or trainees who participated in this training. The sample in this study was taken using proportionate stratified random sampling techniques. The results of this study at the reaction level showed that the training was conducted well, with an overall average reaction level dimension of 4.10 on a scale of 5.00. At the learning level, the results were very good with an average score of 4.16 on a scale of 5.00. The behavior level of the training participants, measured at the behavior level, showed good results with an overall average behavior level dimension of 4.12 on a scale of 5.00. Overall, the average result level obtained a good criterion with an average score of 4.15 on a scale of 5.00.

Thermophysical Profile of Industrial Graphene Water-Based Nanofluids.

The exceptional properties of high-grade graphene make it an ideal candidate for thermal dissipation and heat exchange in energy applications and nanofluid development. Here, we present a comprehensive study of few-layer graphene (FLG) nanofluids prepared in an industrial context. FLG nanofluids were synthesized through an ultrasound-assisted mechanical exfoliation process of graphite in water with a green solvent. This method produces FLG of high structural quality and stable nanofluids, as demonstrated by electron microscope, dynamic light scattering and ζeta potential analyses. Thermal conductivity measurements of FLG-based nanofluids were conducted in the temperature range of 283.15 K to 313.15 K, with FLG concentrations ranging from 0.005 to 0.200% in wt. The thermal conductivity of FLG nanofluids is up to 20% higher than water. The modeling of nanofluid thermal conductivity reveals that this enhancement is supported by the influence of the thermal resistance at the FLG interface, and the content, average dimensions and flatness of FLG sheets; this latter varying with the FLG concentration in the nanofluid. Additionally, the density and heat capacity of FLG suspensions were measured and compared with theoretical models, and the rheological behavior of FLG nanofluids was evaluated. This behavior is mainly Newtonian, with a weak 5% viscosity increase.

Preparation and Characterization of 1D, 2D, and 3D Shapes of Anisotropic Gold Nanoparticles

In recent times, the scientific community has become interested in gold nanoparticles, namely in the anisotropic class. Based on their shapes, they fall into three categories: one-, two-, and three-dimensional. The synthesis and properties of three different anisotropic gold nanoparticle preparations - gold nanobipyramids (one-dimension, 1D), gold nanoprisms (two-dimension, 2D), and gold stars (three-dimension, 3D) - are shown in this research. Here, our group describes a chemical reduction method mediated by seeds. X-ray powder diffraction, transmission electron microscopy, scanning electron microscopy, and ultraviolet-visible spectroscopy were used to analyze the anisotropic gold nanoparticles. The average dimensions of the nanobipyramids were 64.27 ± 7.31 nm for length and 25.87 ± 2.56 nm for diameter, according to the data; the average dimensions of the gold nanoprisms and goldstars were 43.54 ± 5.61 nm and 31.35 ± 7.01 nm, respectively. Furthermore, following centrifugation purification, the yields of triangle and bipyramidal particles rose from 40% to over 60% and from 60% to 90%, respectively. It was established what the ideal parameter concentration was to create anisotropic gold nanoparticles in three dimensions: one, two, and three.

The risk factors for burnout among nurses: An investigation study.

The objective of this investigation study is to examine the levels of burnout and work engagement among nurses working on the front lines of the COVID-19 pandemic. Additionally, we aim to analyze the risk factors associated with nurse burnout. This investigation study included a sample of 1764 registered nurses from 6 tertiary comprehensive hospitals in Wuhan. A total of 1800 questionnaires were distributed via email between January 2021 and July 2021, and 1764 completed questionnaires were returned. Nurses who had been on the front lines of the COVID-19 fight for more than six months were included in the study. The Maslach Burnout Inventory-General Survey (MBI-GS) scale was utilized to assess burnout levels among all nurses. Work engagement was measured using the Utrecht Work Engagement Scale (UWES). The general health of the nurses was evaluated using the General Health Questionnaire-12 (GHQ-12) score. Demographic and clinical data, including age, sex, hospital, department, education, years of experience, daily overtime, weekly rest time, number of night shifts per month, smoking or drinking habits, marital status, etc, were also collected. Statistical analyses were performed using SPSS 25.0. The GHQ-12 scores in the FC group were significantly higher than those in the non-frontline COVID-19 (NFC) group. Compared to the average value of the 2 groups, we found that the dimension 2 average value of UWES in NFC group (3.52 ± 1.07) were remarkably higher than that in FC group (3.40 ± 1.08, P < .05). Furthermore, the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. Spearman rank correlation showed that negative correlation among the average value of each dimension and the overall average values between MBI-GS and UWES. Logistic regression analysis showed that daily Overtime, fight against COVID-19, GHQ-12 score and dimension 2 of UWES were the risk factors for nurse burnout. In summary, this study showed that the dimension 1 (emotional exhaustion) average value and dimension 2 (depersonalization) average value of MBI-GS in NFC group were remarkably declined than that in FC group. This study may provide some basis for addressing nurse burnout.

Retrospective Study on the Prevalence of Haller Cells Using Cone Beam Computed Tomography.

The paranasal sinuses are cavities filled with air located within specific bones, namely the frontal, ethmoidal, maxillary, and sphenoidal sinuses. The ethmoidal sinus is composed of three groups: anterior, middle, and posterior, which are found on both sides. Haller cells (HC), also known as infraorbital ethmoid cells, are projections of the anterior ethmoid sinus that extend into the floor of the orbit and the upper part of the maxillary sinus. Infraorbital ethmoid cells have been associated with several disease conditions and symptoms, such as sinusitis, headaches, orofacial pain, and mucoceles. Consequently, determining the frequency and form of HC is crucial. The objective of the study was to determine the frequency, form, and clinical significance of Haller cells (HC) using cone beam computed tomography (CBCT). This retrospective study analyzed 100 cone beam computed tomographic (CBCT) images, with an equal distribution of 50 males and 50 femalesfrom the age range of 19 to 70 years. The images were randomly selected from the CBCT archives. The participants were chosen according to the specific criteria for inclusion and exclusion established for the study. The collected data were subjected to statistical analysis utilizing the Chi-square test, independent student t-test, one-way ANOVA test, Cohen's Kappa statistics, and intraclass correlation coefficients. The occurrence of Haller cells (HC) was found to be 73%, with 32 cases observed in males and 41 in females. Among the 73 patients with HC, 52 (71%) had unilateral HC, while 21 (28.76%) had bilateral HC. Regarding the shape of the HCs, 31 (42.46%) were teardrop-shaped, 26 (35.61%) were oval-shaped, and 16 (21.91%) were round-shaped. Additionally, out of the 73 cases of HC, 69 (94.52%) were unilocular, and four (5.47%) were multilocular. Furthermore, the average dimensions of HC were greater in males than in females, regardless of whether the cells were distributed unilaterally or bilaterally. The interobserver agreement between observers one and two showed complete consistency, and our study found that the assessment of the dimension of HC had outstanding interrater reliability. The findings of this study indicate that CBCT is highly effective in visualizing and accurately delineating Haller cells in a significant number of patients. It is essential for oral physicians and oral radiologists to be aware of these anatomical structures to accurately identify them. This awareness will enable them to provide a comprehensive differential diagnosis for individuals experiencing orofacial pain and discomfort that may be attributed to the presence of Haller cells.

Preparation and Applicationof Immobilized Valproic Acid Xerogel as Delivery System

The objective of this study is to conduct the preparation and characterization of a xerogel through the co-gelation process involving tetraethyl orthosilicate (TEOS) and 2-propylpentanoic acid (Valproic acid, VA). The characterization of the resulting xerogel utilized techniques such as infrared spectroscopy (FT-IR), X-ray diffraction (XRD), as well as scanning and transmitting electron microscopes (SEM and TEM). Furthermore, the in vitro release of VA and the kinetics ofits release were investigatedemploying various mathematical models (zero-order, first-order, and Higuchi) in a phosphate buffer solution at pH 7.4 and 37°C utilizing HPLC. The findings from the FTIR and XRD analyses provided evidence supporting the successful synthesis of the xerogel with an amorphous configuration. Nevertheless, observations from TEM images exhibited a spherical-like morphology with an average dimension of approximately 1910 d.nm, contrasting with the pure TEOS measuring 924 d.nm. Moreover, the research illustrated aregulated release of VA after 4 h, indicating that the TEOS-based xerogel presents a promising approach for VA delivery characterized by sustained release following the Higuchi kinetic over a 24-h period. Subsequent to these outcomes, the xerogel with an amorphous configuration was successful synthesized for VA regulated release.