bluuebunny/crossref_metadata_2025 huggingface dataset:
Street Puppet Theatre Shows on the Façades of Commercial Buildings as a Novel Stimulator for Social Gatherings in Smart Cities
Authors: Askarizad Reza , Dastoum Mana , Garau Chiara
Published: September 2024

This study investigates the innovative use of street puppet theatre performances on the façades of commercial buildings to stimulate social gatherings in smart cities. This research investigates the impact of a unique musical puppet show held throughout the 2024 holiday season in the well-known shopping mall El Corte Inglés in Madrid, Spain. This study utilises both quantitative and qualitative methodologies, such as space syntax analysis and empirical observations. It uses the UCL Depthmap 10 software program to assess urban morphology and identify integrated and segregated areas. Observations and video recordings were conducted to analyse social gatherings and behaviours during the performances. The findings reveal that these performances attract diverse audiences and foster social engagement, transforming commercial façades into vibrant public spaces. The study concludes that such innovative uses of urban architecture can significantly enhance the sociability of detached and segregated urban spaces. The research demonstrates that this particular dynamic façade not only fosters social sustainability by creating lively urban spaces but also contributes to economic sustainability by attracting potential customers to commercial centres. This research advances the discourse on smart city development and public space utilisation, offering valuable insights for urban planners and policymakers on leveraging interactive urban façades to enhance public engagement and revitalise underutilised spaces.
A Condition Assessment Tool for Steel Bridge Deck Pavement Systems Based on Data Balancing Methods and Machine Learning Algorithms
Authors: Wei Yazhou , Ji Rongqing , Li Qingfu , Song Zongming
Published: September 2024

The primary challenge in the operation of steel deck pavement systems lies in the inspection and assessment of their condition. Traditionally, manual inspection methods are employed. However, these approaches are not only time-consuming and labor-intensive but also prone to human error. As a result, integrating data-driven machine learning technologies into the evaluation of pavement systems presents a significant advantage in addressing these issues. This study proposes a decision-making tool for estimating the condition levels of steel bridge deck pavement systems by employing classification techniques. To address the issue of class imbalance in the dataset, the SMOTE algorithm is utilized. Additionally, seven different machine learning methods—Light Gradient Boosting Machine, Extreme Gradient Boosting, Random Forest, Adaptive Boosting, K-Nearest Neighbor, Multilayer Perceptron, and Logistic Regression—are applied for training. Comparative analysis reveals that the Light Gradient Boosting performs optimally, achieving classification accuracies of 0.841 and 0.929 on the original and synthetic datasets, respectively.
Mechanical Performances of Concrete-Filled Steel Pipe Composite Segments in Complex Geological Conditions
Authors: Chang Xu , Sun Jiaqi , Guo Liqun
Published: September 2024

When shield tunnels are under complex geological conditions, tunnel damage, decreased structural performance, and shield tunnel deformation and destruction may occur. Therefore, a new type of composite segment and combined splicing joint were suggested and experimentally investigated in this study. According to the test results, the new composite segment effectively enhanced the load capacity of the segment, and the yield and ultimate loads of the segment were increased. Compared with the reference specimen, the ultimate load capacities of the proposed segments with different numbers were 23.8%, 50.0%, and 64.3% greater. Moreover, the combined splicing joint enhanced the initial bending stiffness and load capacity of the segment joint, reduced the opening displacement, and improved the rotational stiffness of the segment joint. The addition of a plug-in joint at the segment joint increased its load capacity by approximately 25%. A parametric study showed that the number and posit ion of the plug-in joint clearly affected the load capacity of the segment joint. In addition to the above test results, reasonable theoretical formulas for the new composite segment and combined splicing joint are given in this paper.
An Investigation on Construction Project Development Planning Delays in South Africa
Authors: Nyaga Githae Bedan , Hagir Hakim , Alowo Rebecca
Published: September 2024

This article aims to determine the causes of the delays in South African construction project planning, discussing the centralised hierarchical planning system factors, multiple agencies/spheres of government regarding building-permit approval factors, and systems and spheres of government/multiple agencies for improving preconstruction project planning in South Africa. It also describes a one-stop centre as a framework for improving South African preconstruction planning. The nature of planning in South Africa is influenced by many legislative measures. The delays being experienced in the educational infrastructure project have attributed to the backlogs currently existing in the delivery of basic education infrastructure. This study was conducted using a quantitative research design technique to assess the secondary data findings through primary data gathered on about 106 construction industry operatives. The primary data collected from the 106 construction operatives focused on architects, engineers, surveyors, and contractors. The researchers conducted a pilot survey with experts/professionals before an industry-wide survey as a questionnaire pretest. The finalised questionnaire was used as a data-gathering technique in the quantitative study approach. A focus group discussion was held to validate the findings. The collected information was then subjected to quantitative analysis in SPSS Version: 29.0.2.0 to verify the veracity of the research. According to the findings, a one-stop centre would enhance systems and sectors of government/multiple agencies and prevent preconstruction project-planning delays in South Africa. A centralised hierarchical planning system is essential for reducing preconstruction-planning delays and multiple agencies/sectors of the government delaying building-permit approvals. The critical research contribution is in that expanding on what is already known about preconstruction project planning in South Africa, this study shows how crucial it is to identify and understand the factors that influence preconstruction project planning in that country. The limitation, however, is that, regarding South Africa, the available literature indicates that there is a problem with systems responsible for approving construction projects. In conclusion, by proposing a structure known as the one-stop centre (OSC) to address the issues that lead to delays in preconstruction project planning in South Africa, this study offers a significant contribution.
Research on the Evaluation of an Age-Friendly Layout of Medical Service Facilities in Wuhan City Based on Accessibility
Authors: Li Fan , Zhou Jie , Wei Wei , Zhou Dongming
Published: September 2024

Accessibility is an important indicator for measuring the level of medical facility services in cities. Traditional studies on healthcare accessibility for the elderly have typically focused on the capabilities of emergency services while overlooking the daily independent healthcare needs of the elderly. Taking Wuhan City as an example, the Gaussian two-step floating catchment area method is used in this study to measure the accessibility of urban elderly residents with respect to general hospitals, specialized hospitals, and community health service centers. It also analyzes the appropriateness of the medical facility layout for the elderly in Wuhan City. The research findings indicate the following: (1) The accessibility evaluation method for urban medical facilities established with the Gaussian two-step floating catchment area model can accurately assess the supply–demand relationship between the elderly and various levels of medical facilities. (2) The overall coverage of medical service facilities in Wuhan City is relatively high, but there are significant differences in accessibility for elderly residents in different areas. (3) The appropriateness of daily healthcare access for elderly residents in the central urban areas of Wuhan City is mainly influenced by the layout of general hospitals, while, in the peripheral areas, it is mainly influenced by the layout of specialized hospitals and community health service centers. (4) Improving the appropriateness of urban medical facilities for elderly individuals requires differentiated improvement measures tailored to the characteristics of different zones.
Role of Receptor for Advanced Glycation End-Products in Endometrial Cancer: A Review
Authors: Zglejc-Waszak Kamila , Jozwik Marcin , Thoene Michael , Wojtkiewicz Joanna
Published: September 2024

Endometrial cancer (EC) is the most common gynecological malignancy. EC is associated with metabolic disorders that may promote non-enzymatic glycation and activate the receptor for advanced glycation end-products (RAGE) signaling pathways. Thus, we assumed that RAGE and its ligands may contribute to EC. Of particular interest is the interaction between diaphanous-related formin 1 (Diaph1) and RAGE during the progression of human cancers. Diaph1 is engaged in the proper organization of actin cytoskeletal dynamics, which is crucial in cancer invasion, metastasis, angiogenesis, and axonogenesis. However, the detailed molecular role of RAGE in EC remains uncertain. In this review, we discuss epigenetic factors that may play a key role in the RAGE-dependent endometrial pathology. We propose that DNA methylation may regulate the activity of the RAGE pathway in the uterus. The accumulation of negative external factors, such as hyperglycemia, inflammation, and oxidative stress, may interfere with the DNA methylation process. Therefore, further research should take into account the role of epigenetic mechanisms in EC progression.
Cancer Prevention and Treatment with Polyphenols: Type IV Collagenase-Mediated Mechanisms
Authors: Pawłowski Wojciech , Caban Miłosz , Lewandowska Urszula
Published: September 2024

Polyphenols are natural compounds found in many plants and their products. Their high structural diversity bestows upon them a range of anti-inflammatory, anti-oxidant, proapoptotic, anti-angiogenic, and anti-metastatic properties, and a growing body of research indicates that a polyphenol-rich diet can inhibit cancer development in humans. Polyphenolic compounds may modulate the expression, secretion, or activity of compounds that play a significant role in carcinogenesis, including type IV collagenases, such as matrix metalloproteinase-2 (MMP-2) and matrix metalloproteinase-9 (MMP-9), by suppressing cellular signaling pathways such as nuclear factor-kappa B. These enzymes are responsible for the degradation of the extracellular matrix, thus promoting the progression of cancer. This review discusses the current state of knowledge concerning the anti-cancer activity of polyphenols, particularly curcumin, resveratrol, epigallocatechin-3-gallate, genistein, and quercetin, with a specific focus on their anti-invasive and anti-metastatic potential, based on the most recent in vitro and in vivo studies. It appears that polyphenols may be valuable options for the chemoprevention and treatment of cancer via the inhibition of MMP-2 and MMP-9 and the suppression of signaling pathways regulating their expression and activity.
Time Relationship between the Occurrence of a Thromboembolic Event and the Diagnosis of Hematological Malignancies
Authors: Kępski Jarosław , Szmit Sebastian , Lech-Marańda Ewa
Published: September 2024

Objectives. Venous and arterial thromboembolism (VTE/ATE) often coexist with onco-hematologic diagnosis. This study aimed to assess the time relationship between the diagnosis of VTE/ATE and blood cancers. The second aim was to identify VTE/ATE risk factors related to the type of hematology disease and cardiac history. Methods. A total of 1283 patients underwent cardio-oncology evaluation at the Institute of Hematology and Transfusion Medicine in Warsaw from March 2021 through March 2023 (2 years), and 101 (7.8%) cases were identified with VTE/ATE. Results. ATE compared with VTE significantly occurred more often before the diagnosis and treatment of hematologic malignancy: 33/47 (70.2%) vs. 15/54 (27.8%), p < 0.0001. The risk of a VTE episode is exceptionally high in the first months after the diagnosis of an onco-hematological disease and the initiation of anticancer treatment. The higher frequency of VTE was associated with acute myeloid leukemia (17 cases/270 patients/6.30%/p = 0.055), acute lymphocytic leukemia (7 cases/76 patients/9.21%/p = 0.025), and chronic myeloproliferative disease (7 cases/48 patients/14.58%/p = 0.0003). Only the risk of VTE was significantly increased before (OR = 6.79; 95% CI: 1.85–24.95; p = 0.004) and after diagnosis of myeloproliferative disease (OR = 3.12; 95% CI: 1.06–9.16; p = 0.04). Conclusions. ATEs occur more often than VTE before a diagnosis of blood cancer. The risk of VTE is exceptionally high before and after diagnosis of chronic myeloproliferative disease.
Deactivation of Cu/ZSM-5 Catalysts during the Conversion of 2,3-Butanediol to Butenes
Authors: Wang Ziyuan , Chmielniak Pawel , Sievers Carsten
Published: September 2024

This work determines the deactivation mechanisms of Cu/ZSM-5 catalysts used for the conversion of 2,3-butanediol to butene as part of an alcohol-to-jet route. The deactivation of the catalyst, reflected by a drop in the rate of the limiting hydrogenation step by over 90% in 24 h at a weight hourly space velocity of 5.92 h−1, proceeds via both the agglomeration of copper particles and the obstruction of copper surfaces due to carbonaceous deposits, although the former has less impact on the decrease in the hydrogenation rate. To reduce the detrimental effect of carbonaceous deposits on catalytic activity, ZMS-5 is modified through desilication of the HZSM-5 support with NaOH and CsOH solutions to generate a hierarchical structure with mesopores. The catalyst with the CsOH-treated support generates the highest overall yield of desired olefin products and experiences the slowest deactivation. This is a result of the lower Brønsted acidity and larger mesopores found in the CsOH-treated catalyst, leading to the slower formation of carbonaceous deposits and the faster diffusion of their precursors out of the pores.
Microwave-Assisted Oxidation of N2 into NOx over a La-Ce-Mn-O Perovskite Yielding Plasmas in a Quartz Flow Reactor at Atmospheric Pressure
Authors: Meunier Frederic C. , Kaddouri Akim
Published: September 2024

N2 oxidation to NOx is a challenging reaction, and alternative routes to the industrial Ostwald process are of interest. A perovskite under flowing O2-N2 mixtures at atmospheric pressure in a quartz tube reactor was irradiated by microwaves (MW), leading to the formation of hot spots and plasmas within the catalyst bed. NOx concentrations up to 2.5 vol.% in one pass were obtained at 600 W. Using a lower MW power of 100 W led to a pulsed mode yielding lower NOx concentrations and no noticeable damage to the quartz reactor. The formation of plasma was strongly dependent on the perovskite bed packing. The perovskite acted primarily as a susceptor and likely also as a catalyst, although the proportion of heterogeneous and homogenous reactions could not be determined in the present study. The simple reactor layout allowing operation at atmospheric pressure is promising for the development of practical MW-assisted N2 fixation technologies.
Practice-Based Management Data of Consecutive Subjects Assessed for the Median Arcuate Ligament Syndrome at a Single Tertiary Institution
Authors: Zbinden Stephanie , Forgo Gabor , Kucher Nils , Barco Stefano
Published: September 2024

Background: The pathophysiology of median arcuate ligament syndrome (MALS) is poorly understood. The diagnostic process remains inadequately standardized, with an absence of precise criteria to guide therapeutic management. Methods: We studied consecutive subjects referred to the Department of Angiology at the University Hospital of Zurich over the past 17 years due to suspected MALS. We focused on (1) the imaging criteria that led to diagnosis, notably the results of color duplex ultrasound and the consistency with different imaging tests; (2) the clinical consequences focusing on symptom resolution. Results: We included 33 subjects; in 8 subjects (24.2%), the diagnosis of MALS was retained. The median expiration peak systolic velocity (PSV) on ultrasound was 3.05 (Q1; 2.1–Q3; 3.3). To confirm the sonographic results, either a CT or MRI was performed on all patients, with consistent findings confirming a significant stenosis. Seven patients underwent surgery, all involving arcuate ligament release. Four procedures were laparoscopic, one was via laparotomy, and two were robot-assisted. Additionally, two patients required angioplasty with stenting as a secondary intervention. Only two (28.6%) of the seven operated patients experienced a relief of symptoms. None experienced a relief of symptoms following secondary angioplasty, despite stent patency. The prevalence of psychiatric disorders was comparable between patients with retained and rejected diagnoses, 38% and 36%, respectively. Conclusions: Our study confirmed sonography and CT/MRI consistency. However, most patients with MALS did not benefit from invasive treatment. The majority (83%) of patients without MALS were diagnosed with alternative conditions, mainly functional disorders.
A New Process for Efficient Non-Destructive Metal-Activated Composite Plating of Ni-P-Al2O3 on Titanium Base and Its Performance Research
Authors: Cui Kaifang , Gao Jin , Li Siqi , Leng Xue , Zhong Liang , Qiang Rongming
Published: September 2024

A new high efficient and non-destructive mental activation process of electroless composite plating was proposed. The process utilized electromagnetic induction equipment to heat the titanium alloy substrate and used its energy to complete the activation process, which could successfully attach the nickel nanoparticles firmly to the surface of the titanium alloy; at the same time, the process pre-activated Al2O3 nanoparticles and added the activated nanoparticles to the plating solution. In the process of plating, the activated titanium substrate was used as the catalytic center of electroless nickel plating (ENP) for electroless composite plating. The new activation process avoided complicated traditional processes such as acid etching and zinc dipping. Such traditional processes require huge doses of chemicals, including various strong acids, so improper waste liquid treatment will cause harm to the environment. The important parameters of the process were optimized by orthogonal experiments. A scanning electron microscope (SEM), an X-ray photoelectron spectroscopy (XPS), an energy dispersive spectrometer (EDS), thermal shock experiments and friction and wear experiments were used to characterize and analyze the surface morphology, composition, binding force and friction coefficient of the coating, and analyze the coating quality by measuring the plating rate and the thickness of the coating. The results showed that the rate of electroless composite plating increased with the increase in Al2O3 nanoparticle concentration. When the concentration of Al2O3 nanoparticles reached 1.5 g/L, the ENP rate decreased with the increase in Al2O3 nanoparticle concentration. The adhesion of the sample was evaluated by the scratch test, which showed that the binding grade of the sample was 0, and the Vickers hardness was 688.5 HV. Results showed that the coating produced by this new process has excellent performance. Therefore, the process is an environmentally friendly and fast activation composite plating process.
Enhanced Fracture Toughness of WC-CoCr Thermally Sprayed Coatings by the Addition of NiCrFeSiBC and Mo and Its Influence on Sliding Wear Behavior
Authors: Ibarra José de Jesús , González Marco Aurelio , Rodríguez Eduardo , Vásquez Gabriel Israel , Medina Ariosto , Bernal José , Aguilar Claudio , Velez Eduardo Enrique
Published: September 2024

Wear is a major issue in industry, particularly with metal components. Therefore, it is crucial to investigate methods that offer increased resistance to this phenomenon. In this research, three coating systems (pure WC-CoCr and WC-CoCr/NiCrFeSiBC+Mo, 88:12 and 83:17 wt.%) were thermally sprayed on an AISI 1018 steel substrate through the High-Velocity Oxygen Fuel (HVOF) process. The coatings were characterized using a field emission scanning electron microscope (FESEM) equipped with the energy dispersive spectroscope (EDS) and X-ray diffractometry (XRD). An analysis of the wear rate for ball-on-flat linear reciprocating sliding tribological tests for the coatings was also carried out. The coating microstructure presents well-dispersed NiCrFeSiBC splats. The WC-CoCr/NiCrFeSiBC+Mo, 88:12, system has the highest wear resistance, decreasing by 30.2% at high loads compared to commercial WC-CoCr CERMETs, and also exhibits the highest fracture toughness. Analysis of wear tracks shows that the material removal at all charges occurred mainly by an abrasive wear mechanism.
Design and Application of Driving Resistance Test Device for Aircraft Tire and Soil Pavement
Authors: Wang Zihan , Chong Xiaolei , Liang Lei , Chen Zhenglei , Liu Chaojia
Published: September 2024

In view of the lack of soil bins for studying the surface interaction between aircraft wheels and soil, this study designed an indoor test bench for aircraft wheels and soil, including a soil container, loading vehicle, and intelligent measurement and control system, to test key parameters such as tire speed and wheel frictional resistance. The test system is capable of achieving speed regulation ranging from 0 to 30 km/h. The vertical load adjustment range with an adjustment interval of 10 kg spans from 90 to 140 kg. The soil type, compaction degree, and other conditions can be modified as per requirements to vary multiple test conditions, thereby enabling us to explore their influence on the driving resistance of the wheels. Moreover, the test data can be collected and processed in real time. A performance test of a wheel–soil table was carried out. The results show that the wheel–soil table test system is stable and reliable and can determine the relationship between the tire and soil, and the structural design of the test system meets the use requirements. In addition, it achieves the target test speed, data acquisition frequency, and stability. In terms of functionality and operational difficulty, the data acquisition of the entire test process is automated, and the test system achieves better informationization than previous methods. The overall operation of the wheel–soil platform is stable and powerful; thus, the model test platform design goal is achieved, and the testing requirements are met.
Weighted Averages and Polynomial Interpolation for PM2.5 Time Series Forecasting
Authors: Flores Anibal , Tito-Chura Hugo , Yana-Mamani Victor , Rosado-Chavez Charles , Ecos-Espino Alejandro
Published: September 2024

This article describes a novel method for the multi-step forecasting of PM2.5 time series based on weighted averages and polynomial interpolation. Multi-step prediction models enable decision makers to build an understanding of longer future terms than the one-step-ahead prediction models, allowing for more timely decision-making. As the cases for this study, hourly data from three environmental monitoring stations from Ilo City in Southern Peru were selected. The results show average RMSEs of between 1.60 and 9.40 ug/m3 and average MAPEs of between 17.69% and 28.91%. Comparing the results with those derived using the presently implemented benchmark models (such as LSTM, BiLSTM, GRU, BiGRU, and LSTM-ATT) in different prediction horizons, in the majority of environmental monitoring stations, the proposed model outperformed them by between 2.40% and 17.49% in terms of the average MAPE derived. It is concluded that the proposed model constitutes a good alternative for multi-step PM2.5 time series forecasting, presenting similar and superior results to the benchmark models. Aside from the good results, one of the main advantages of the proposed model is that it requires fewer data in comparison with the benchmark models.
Shared-Care in Complex Malignant Hematology: An Integrative Review Using the RE-AIM Evaluation Framework
Authors: Nixon Shannon M. , Maze Dawn C. , Parry Monica , Mayo Samantha J.
Published: September 2024

Complex malignant hematology (CMH) shared-care programs have been established to support patients with access to care closer to home. This integrative review examined what is known about CMH shared-care using the RE-AIM evaluation framework. We searched five electronic databases for articles published until 16 January 2024. Articles were included if they were qualitative or quantitative studies, reviews or discussion papers, and reported on an experience with shared-care (defined as a reciprocal, ongoing patient-sharing relationship between a specialist centre and community hospital) for patients with hematological malignancies, and examined one or more aspects of the RE-AIM framework. The search yielded 6523 articles; 10 articles describing eight shared-care experiences. Indicators of reach were reported for 65% of the programs, and emphasized some patient eligibility criteria. Effectiveness indicators were reported for 28% of programs, and suggested favourable survival outcomes within a shared-care model; however, health system impact and quality of life studies were lacking. Indicators of adoption and implementation were reported for 56% and 42% of programs, respectively, and emphasized multidisciplinary teams, infrastructure support, and communication strategies. Maintenance was not reported. Common elements contribute to the implementation of existing CMH shared-care programs; however, a formal evaluation remains an area of need.
Exploring Prostate Cancer Incidence Trends and Age Change in Cancer Registration Areas of Jiangsu Province, China, 2009 to 2019
Authors: Zhou Hairong , Hong Xin , Miao Weigang , Wang Weiwei , Wang Chenchen , Han Renqiang , Zhou Jinyi
Published: September 2024

(1) Background: Over the past few decades, Jiangsu Province, China, has witnessed a remarkable surge in the incidence of prostate cancer (PCa), accompanied by notable demographic shifts; (2) Methods: PCa data for Jiangsu Province from 2009 to 2019 were obtained from the Jiangsu Cancer Registry. We calculated crude and age-specific incidence rates (ASIRs), average age at onset, and age-specific composition ratios. Standardization was performed based on the Segi’s world population. Birth cohorts (1929–2019) were analyzed to assess PCa incidence by birth year. Trend analysis was conducted using the Joinpoint Regression Model, and average annual percent changes (AAPCs) with corresponding 95% confidence interval (CI) were computed. A linear regression model was used to analyze the relationship between the average age at diagnosis and calendar years; (3) Results: The ASIRs of PCa in Jiangsu Province increased significantly, with an AAPC of 11.25% (95%CI: 10.09%, 12.42%) from 2009 to 2019. This increase was observed across all age groups, particularly among those aged 0–59 years. Birth cohort analysis revealed a rising trend with earlier birth years showing higher incidence, notably in the 1959 cohort. In rural areas, the age-standardized average age at onset of PCa decreased from 75.45 years in 2009 to 73.39 years in 2019, and the peak age group shifted from 75–79 years in 2009 to 70–74 years in 2019; (4) Conclusions: The rising incidence of PCa in Jiangsu Province, along with an increased proportion of cases in younger age groups, highlights the need for targeted interventions.
The Quality of Life after Endometrial Cancer Study: Baseline Characteristics and Patient-Reported Outcomes
Authors: Warring Simrit , Yost Kathleen J. , Cheville Andrea L. , Dowdy Sean C. , Faubion Stephanie S. , Kumar Amanika , Lemens Maureen A. , Van Oort Chelsie C. , Fought Angela J. , Mc Gree Michaela E. , Mariani Andrea , Glaser Gretchen
Published: September 2024

Endometrial cancer (EC) patients make up the second largest group of female cancer survivors. Patient-reported outcomes (PROs) including quality of life (QOL) and sexual function and satisfaction (SF and S) are critical facets of survivorship. This prospective, longitudinal study assesses associations between baseline characteristics and PROs after treatment. Herein, we report the baseline clinical characteristics and PROs prior to treatment initiation. Outcomes post-treatment over time will be reported separately. Patients with planned surgery for EC were prospectively enrolled in 2019–2021 and administered the European Organization for Research and Treatment of Cancer (EORTC) QOL Questionnaire Core 30 (QLQ-C30), EORTC QLQ EC Module (EN24), Patient-Reported Outcomes Measurement Information System (PROMIS), and the Mayo Clinic lower extremity lymphedema (LEL) questionnaire. This study enrolled 198 patients with a mean (SD) age of 63.6 (9.8) years and body mass index of 35.5 (8.3) kg/m2. No significant differences in the PROs for the QOL were seen when compared to the reference means (SD) except for the lower interest in sexual activity (31.9 (9.8) vs. 47.5 (SE0.70)) and lower fatigue (21.3 (19.8) vs. 31.7 (25.9)). Increased obesity was associated with an increased likelihood of LEL (p < 0.01) and multiple QOL scales, including poorer global health status (p < 0.01) and physical functioning (p < 0.01). Prior to treatment initiation for EC, the patients had a similar QOL compared to that of the general population. The patients with increasing obesity, a known risk factor for EC, had worse overall global health status and physical functioning. A better understanding of these QOL measures is imperative for earlier identification and intervention of patients at risk of chronic impairments from EC treatment.
Burrowing Owls Require Mutualist Species and Ample Interior Habitat Space
Authors: Smallwood K. Shawn , Morrison Michael L.
Published: September 2024

Mitigating habitat loss of western burrowing owls (Athene cunicularia hypugaea) often involves relocation from California ground squirrel (Otospermophilus beecheyi) burrows to offsite nest boxes. Naval Air Station Lemoore (NASL), Kings and Fresno counties, California, initiated this approach to displace a regionally important population from airfield grasslands. We examined monitoring data of burrowing owls and fossorial mammals at NASL to assess mitigation options. Occupied nests increased by 33 (61%), with 47 nest box installations in 1997–2001, peaked at 87 in 1999, then declined by 50 through 2013. Although ≥13 nest boxes were occupied in 2000, none were occupied in 2003–2013. Within a 43.1 ha isolated grassland monitored for 13 years, nest site reuse in ground squirrel burrows averaged only 17% between any 2 consecutive years. Compared to the average density across grassland study areas, ground squirrel burrow systems/ha numbered 43% higher within 60 m of occupied nests and non-breeding-season burrows. Vegetation clearing to restore kangaroo rat (Dipodomys n. nitratoides) habitat preceded a 7.4-fold increase in ground squirrel burrow systems and a 4-fold increase in occupied nests, but drought-induced extirpation of ground squirrels eliminated occupied nests from the 43.1 ha grassland study area. Ground cover near occupied nests averaged 58% of the mean vegetation height and 67% of the mean percentage of bare ground in the field. Both nest sites and non-breeding-season burrows occurred >60 m interior to field edges 1.4 times more than expected. Non-breeding-season burrows averaged 328 m from same-year nest sites, and only 7% of non-breeding-season burrows were also used as nest sites. Mitigating habitat loss should be made more effective by fostering natural burrow construction by fossorial mammals on patches of short-stature vegetation that is sufficiently expansive to support breeding colonies of ≥12 pairs averaging ≥60 m from the field’s edge and a separation between non-breeding-season burrows and nest burrows minimally equal to mean nearest-neighbor distances among nests.
Anatomical Study of the Superficial Musculoaponeurotic System in Relation to the Zygomaticus Major
Authors: Park Hyun-Jin , Hur Mi-Sun
Published: September 2024

Background: The superficial musculoaponeurotic system (SMAS) is crucial for the structural integrity and dynamics of facial expressions and is a particularly important consideration during facelift surgeries. This study investigated the anatomical structure and continuity of the SMAS at the site where the zygomaticus major (Zmj) originates, which is where the SMAS extends from the lateral to the anterior aspects of the face. Knowledge of these aspects is crucial for understanding the mechanics of facial movements and also the aging process. Methods: Dissections of 66 specimens and histological analyses were used to explore the intricate relationships and attachments between the SMAS and facial muscles. Results: The findings indicated that at the Zmj origin site, the SMAS—connected to the inferior margin of the orbicularis oculi—covered the superficial surface of the Zmj fibers. As it tracked downward, the SMAS was observed to split into two layers lateral to the Zmj fibers, enveloping them both superficially and deeply. Additionally, as the SMAS continued forward, it ceased to be distinctly visible in the buccal area. Conclusions: These results provide a deeper understanding of the complex layering and interconnectivity of the SMAS, which supports facial dynamics and structural integrity. This information could be particularly useful in surgical and aesthetic procedures in the midfacial area.
Internal Overview of Prostatic Cancer Cases and Quality of BRCA1 and BRCA2 NGS Data from the FFPE Tissue
Authors: Antolini Enrica , Filosa Alessandra , Santoni Matteo , Antaldi Elena , Bartoli Elisa , Sierchio Lidia , Giantomassi Federica , Mandolesi Alessandra , Goteri Gaia
Published: September 2024

Background: Comprehensive genomic profiling (CGP) has gained an important role in patients with advanced prostate cancer following the introduction of PARP inhibitors in daily clinical practice. Here, we report an overview of CGP results, specifically of BRCA1 and BRCA2 HRD-repair system genes, from patients with prostate cancer analyzed in our institution, and we compare our results with those available from more recent scientific literature. Methods: The study cohort consisted of 70 patients. Somatic DNA was extracted from Formalin-Fixed Paraffin-Embedded (FFPE) tissue using a MagCore Genomic DNA FFPE One-Step Kit for MagCore System. The DNA was quantified by EasyPGX® Real-Time qPCR and EasyPGX® Analysis Software (version 4.0.13). Tissue somatic DNA libraries were prepared with Myriapod® NGS BRCA1-2 panel-NG035 and sequenced in a Mi-Seq® System. The sequence alignment in hg19 and the variant calling were performed using Myriapod® NGS Data Analysis Software version 5.0.8 NG900-SW 5.0.8 with a software detection limit (LoD) of 95%. Variants with a coverage of 500 and VAF% ≥ 5 were evaluated. Results: Tumor tissue NGS was unsuccessful in 46/70 patients (66%). Mutations of the BRCA2 gene were detected in 4 of the samples: (1) BRCA2 ex10 c.1244A>G p.His415Arg VAF = 51.03%; (2) BRCA2 ex11 c.5946delT p.Ser1982fs VAF = 72.1%; (3) BRCA2 ex11 c.3302A>G p.His1101Arg VAF = 52.9%; and (4) BRCA2 ex11 c.3195_3198delTAAT p.Asn1066fs VAF = 51.1%. Conclusions: The results from our internal overview seem to support the data and to confirm the performance of the technical issues reported in the literature. Considering the advanced age of our patients, with 84% of men over the age of 65, the application of alternative and less invasive procedures such as liquid biopsy, could be a more suitable solution for some cases.
Can the Newer Model of Breast-Specific Positron Emission Tomography Reduce the “Blind Area”?
Authors: Satoh Yoko , Ishida Jiro , Inui Yoshitaka , Takenaka Akinori , Bando Shuji , Ishida Sayuri , Toyama Hiroshi
Published: September 2024

Objectives: Breast-specific positron emission tomography (PET) provides higher sensitivity and spatial resolution than whole-body PET/CT, but it has a blind area. Mammary glands near the chest wall sometimes present outside the field of view (FOV). A newer, dedicated breast PET (dbPET) model has a cylindrical detector with a larger diameter than previous models, so it is expected to eliminate or reduce blind areas. This study aimed to compare breast images acquired on the new dbPET model with images acquired on an older dbPET model to evaluate blind area reduction. Methods: The nipple-to-chest wall distance (mm), maximum breast cross-sectional area at the FOV edge (cm2) on the dbPET transverse images of the scanners, and the effects of patient age and body mass index (BMI) were compared. Results: There was no significant difference in the nipple-to-chest wall distance between the models (p = 0.223). The maximum breast cross-sectional area at the FOV edge was significantly larger on the newer model’s images (p < 0.001). There was no significant correlation between breast size and the rate of change in both parameters. Conclusions: The new ring-type dbPET scanners with larger diameter detectors did not reduce the blind area observed on older dbPET scanners.
Giant Cell Arteritis: Can Simple Ultrasound Examination Prevent Complex Consequences?
Authors: Stańska Wiktoria , Kruszewski Robert , Juszkiewicz Aleksandra , Bachta Artur , Tłustochowicz Witold
Published: September 2024

Giant cell arteritis (GCA) is a rare disease of the arteries, occurring mainly in the elderly. Although the involvement of temporal arteries can be mostly symptomatic, the occlusion of ophthalmic arteries has severe consequences. GCA affecting temporal arteries is an emergency requiring quick commencement of treatment with glucocorticoids due to the serious consequences of neglect—blindness. According to the new guidelines released by EULAR, ultrasound is the tool of choice in support of the clinical diagnosis of giant cell arteritis, replacing temporal artery biopsy (TAB), as it is a sensitive and non-invasive method that is widely available. The main limitation is that the reliability of this imaging is based on the technical expertise of ultrasonographers. However, performing imaging should not delay commencing the treatment. In this work, we present ultrasound images from a case report of a 74-year-old female patient where difficulties in establishing a diagnosis led to vision loss in both eyes. In this example, we describe the ultrasound findings in giant cell arteritis, emphasizing its usefulness in supporting a diagnosis of GCA.
A Comprehensive Review of Artificial Intelligence and Colon Capsule Endoscopy: Opportunities and Challenges
Authors: Mota Joana , João Almeida Maria , Mendes Francisco , Martins Miguel , Ribeiro Tiago , Afonso João , Cardoso Pedro , Cardoso Helder , Andrade Patricia , Ferreira João , Macedo Guilherme , Mascarenhas Miguel
Published: September 2024

Colon capsule endoscopy (CCE) enables a comprehensive, non-invasive, and painless evaluation of the colon, although it still has limited indications. The lengthy reading times hinder its wider implementation, a drawback that could potentially be overcome through the integration of artificial intelligence (AI) models. Studies employing AI, particularly convolutional neural networks (CNNs), demonstrate great promise in using CCE as a viable option for detecting certain diseases and alterations in the colon, compared to other methods like colonoscopy. Additionally, employing AI models in CCE could pave the way for a minimally invasive panenteric or even panendoscopic solution. This review aims to provide a comprehensive summary of the current state-of-the-art of AI in CCE while also addressing the challenges, both technical and ethical, associated with broadening indications for AI-powered CCE. Additionally, it also gives a brief reflection of the potential environmental advantages of using this method compared to alternative ones.
The Significance of C-Reactive Protein Value and Tumor Grading for Malignant Tumors: A Systematic Review
Authors: Șiancu Paul , Oprinca George-Călin , Vulcu Andra-Cecilia , Pătran Monica , Croitoru Adina Emilia , Tănăsescu Denisa , Bratu Dan , Boicean Adrian , Tănăsescu Ciprian
Published: September 2024

Background: Malignant tumors represent a significant pathology with a profound global impact on the medical system. The fight against cancer represents a significant challenge, with multidisciplinary teams identifying numerous areas requiring improvement to enhance the prognosis. Facilitating the patient’s journey from diagnosis to treatment represents one such area of concern. One area of research interest is the use of various biomarkers to accurately predict the outcome of these patients. A substantial body of research has been conducted over the years examining the relationship between C-reactive protein (CRP) and malignant tumors. The existing literature suggests that combining imaging diagnostic modalities with biomarkers, such as CRP, may enhance diagnostic accuracy. Methods: A systematic review was conducted on the PubMed and Web of Science platforms with the objective of documenting the interrelationship between CRP value and tumor grading for malignant tumors. After the application of the exclusion and inclusion criteria, 17 studies were identified, published between 2002 and 2024, comprising a total of 9727 patients. Results: These studies indicate this interrelationship for soft tissue sarcomas and for renal, colorectal, esophageal, pancreatic, brain, bronchopulmonary, ovarian, and mesenchymal tumors. Conclusions: Elevated CRP levels are correlated with higher grading, thereby underscoring the potential utility of this biomarker in clinical prognostication.
Estimating the Extraction Time of an Upper Third Molar: Proposal and Validation of Results
Authors: Lima-Sánchez Belén , Hermida-Cabrera Paula , Montoya-Salazar Vanessa , Oliveros-López Luis-Guillermo , Alomar-Velasco Pedro , Serrera-Figallo Maria-Angeles , Torres-Lagares Daniel , Baus-Domínguez María
Published: September 2024

Background: Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method to determine the complexity of upper third molar extraction. Therefore, this study’s objective was to develop an equation using multiple linear regression to estimate the extraction time of an upper third molar based on its complexity. Methods: This study involved patients enrolled in the Master of Oral Surgery program at the University of Seville. To determine their relationship with surgical time, the researchers analyzed various factors, such as depth, root morphology, and the need for odontosection. They then validated their findings by studying patients treated at Palmaplanas Hospital in Mallorca. Results: The cohort analysis from the University of Seville revealed significant associations between surgical time and the identified factors. A regression equation design was performed to predict the total duration of surgical intervention for wisdom teeth extraction. This equation incorporates several independent variables, represented by Xi, together with a constant term, C, and the corresponding coefficients, Bi, which weight the impact of each variable on the intervention time. The results are as follows: −0.312 (spatial relationship), 0.651 (depth), −0.443 (bone and mucosa integrity), 0.214 (roots), −0.745 (ostectomy), 0.713 (odontosection), and −0.426 (suture). Upon application of the statistical methodology to the Palmaplanas Hospital cohort, a regression coefficient of 0.770 was determined. This indicates a strong correlation between the input data and the estimated surgical time. Conclusions: In conclusion, the proposed formula demonstrates notable validity in predicting the surgical time required to extract upper third molars.
Diagnostic and Prognostic Utilities of Pancreatic Stone Protein in Patients with Suspected Sepsis
Authors: Lee Gun-Hyuk , Kim Hanah , Moon Hee-Won , Yun Yeo-Min , Park Mikyoung , Lee Seungho , Hur Mina
Published: September 2024

Background/Objectives: Pancreatic stone protein (PSP) is an emerging biomarker of sepsis that is secreted from pancreas sensing remote organ damages. We explored the diagnostic and prognostic utilities of PSP in patients with suspected sepsis. Methods: In a total of 285 patients (suspected sepsis, n = 148; sepsis, n = 137), we compared PSP with procalcitonin (PCT) and sequential organ failure assessment (SOFA) score. Sepsis diagnoses were explored using receiver operating characteristic curve analyses with area under the curves (AUCs). Clinical outcomes (in-hospital mortality, 30-day mortality, and kidney replacement therapy [KRT]) were explored using the Kaplan–Meier method and a multivariate analysis with hazard ratio (HR). Results: PCT and PSP were comparable for sepsis diagnosis (AUC = 0.71–0.72, p < 0.001). The sepsis proportion was significantly higher when both biomarkers increased than when either one or both biomarkers did not increase (89.0% vs. 21.3–47.7%, p < 0.001). Each biomarker quartile (Q1–Q4) differed significantly according to their SOFA score (all p < 0.001). Compared with Q1, the Q2–Q4 groups showed worse clinical outcomes (p = 0.002–0.041). Both biomarkers added to the SOFA score showed higher HRs than the SOFA score alone (3.3–9.6 vs. 2.8–4.2, p < 0.001–0.011), with nearly 2.5-fold higher HR (9.6 vs. 4.2) for predicting KRT. Conclusions: Although PCT and PSP did not independently predict clinical outcomes in the multivariate analysis, PSP demonstrated diagnostic and prognostic utilities in patients with suspected sepsis, especially for predicting kidney dysfunction. PSP, alone or in combination with PCT, would be a valuable tool that can be added to clinical assessments.
Golf Club Selection with AI-Based Game Planning
Authors: Khazaeli Mehdi , Javadpour Leili
Published: September 2024

In the dynamic realm of golf, where every swing can make the difference between victory and defeat, the strategic selection of golf clubs has become a crucial factor in determining the outcome of a game. Advancements in artificial intelligence have opened new avenues for enhancing the decision-making process, empowering golfers to achieve optimal performance on the course. In this paper, we introduce an AI-based game planning system that assists players in selecting the best club for a given scenario. The system considers factors such as distance, terrain, wind strength and direction, and quality of lie. A rule-based model provides the four best club options based on the player’s maximum shot data for each club. The player picks a club, shot, and target and a probabilistic classification model identifies whether the shot represents a birdie opportunity, par zone, bogey zone, or worse. The results of our model show that taking into account factors such as terrain and atmospheric features increases the likelihood of a better shot outcome.