bluuebunny/crossref_metadata_2025 huggingface dataset:
Body Image During Puberty: What Happens to How Kids Feel About Their Bodies?
Authors: Roberts Savannah R. , Gorrell Sasha , Le Grange Daniel
Published: March 2024

Adolescence, the period between childhood and adulthood, is a time when significant changes happen to the human body. These changes, called puberty, signify the time during which humans develop into adults. During puberty, changes in weight, height, and muscle size leave many adolescents feeling unhappy with their appearance. We describe how these changes affect body image, which is the way that adolescents feel about their bodies. First, we discuss how a negative body image can be a risk factor for eating disorders and depression. Second, we highlight the body positivity movement, which encourages people to love their bodies no matter what they look like. Lastly, we describe body neutrality, an attitude that celebrates bodies for what they allow us to do, rather than for their appearance. Together, these body image concepts can help people to understand how physical changes that accompany puberty might affect mental health.
Prioritizing patients for hip fracture surgery: the role of frailty and cardiac risk
Authors: Forssten Maximilian Peter , Mohammad Ismail Ahmad , Ioannidis Ioannis , Ribeiro Marcelo A. F. , Cao Yang , Sarani Babak , Mohseni Shahin
Published: March 2024

Introduction

The number of patients with hip fractures continues to rise as the average age of the population increases. Optimizing outcomes in this cohort is predicated on timely operative repair. The aim of this study was to determine if patients with hip fractures who are frail or have a higher cardiac risk suffer from an increased risk of in-hospital mortality when surgery is postponed >24 h.

Methods

All patients registered in the 2013–2021 TQIP dataset who were ≥65 years old and underwent surgical fixation of an isolated hip fracture caused by a ground-level fall were included. Adjustment for confounding was performed using inverse probability weighting (IPW) while stratifying for frailty with the Orthopedic Frailty Score (OFS) and cardiac risk using the Revised Cardiac Risk Index (RCRI). The outcome was presented as the absolute risk difference in in-hospital mortality.

Results

A total of 254,400 patients were included. After IPW, all confounders were balanced. A delay in surgery was associated with an increased risk of in-hospital mortality across all strata, and, as the degree of frailty and cardiac risk increased, so too did the risk of mortality. In patients with OFS ≥4, delaying surgery >24 h was associated with a 2.33 percentage point increase in the absolute mortality rate (95% CI: 0.57–4.09, p = 0.010), resulting in a number needed to harm (NNH) of 43. Furthermore, the absolute risk of mortality increased by 4.65 percentage points in patients with RCRI ≥4 who had their surgery delayed >24 h (95% CI: 0.90–8.40, p = 0.015), resulting in a NNH of 22. For patients with OFS 0 and RCRI 0, the corresponding NNHs when delaying surgery >24 h were 345 and 333, respectively.

Conclusion

Delaying surgery beyond 24 h from admission increases the risk of mortality for all geriatric hip fracture patients. The magnitude of the negative impact increases with the patient's level of cardiac risk and frailty. Operative intervention should not be delayed based on frailty or cardiac risk.
Bridging the gap: enhancing science communication in synthetic biology with specific teaching modules, school laboratories, performance and theater
Authors: Schmitt Franz-Josef , Golüke Marie , Budisa Nediljko
Published: March 2024

Synthetic biology, an interdisciplinary field merging biology, engineering, and computer science, holds significant promise but also gives rise to ethical and safety issues and concerns. Effective communication of scientific concepts is essential to bridge the gap between the scientific community and the general public. Here we present four communication strategies from our own experience that could help address this gap: (i) the teaching module “iGEM-Synthetic Biology”: Students at Technische Universität Berlin (TU Berlin) engage in synthetic biology projects, showcasing their work in a competition format that includes the creation of videos and websites. (ii) Long Night of the Sciences: Students and supervisors from the international Genetically Engineered Machine (iGEM) module at TU Berlin share their results with presentations, experiments, and quiz games during this public event. (iii) Theatre play: Festival für Freunde e.V. has developed a play titled “Life from the Toolbox” to explain genetic modification and synthetic biology for the audience. The play incorporates readings and educational videos. (iv) Heinz-Bethge-Foundation electron microscopy school lab: This laboratory utilizes hands-on experiments with microscopes, including electron microscopes, to visually explain intricate scientific concepts in physics, biology, and synthetic biology. It encourages high school students to delve deeper into the realm of science. These four initiatives represent a communication strategy that resonates with diverse audiences and is suitable to cover the public as a target group independent from their prior knowledge of the scientific background.
Experimental Study of Spray and Combustion Characteristics in Gas-Centered Swirl Coaxial Injectors: Influence of Recess Ratio and Gas Swirl
Authors: Lee Jungho , Lee Ingyu , Woo Seongphil , Han Yeoungmin , Yoon Youngbin
Published: March 2024

The spray and combustion characteristics of a gas-centered swirl coaxial (GCSC) injector used in oxidizer-rich staged combustion cycle engines were analyzed. The study focused on varying the recess ratio, presence of gas swirl, and swirl direction to improve injector performance. The impact of the recess ratio was assessed by increasing it for gas jet-type injectors with varying momentum ratios. Gas-swirl effects were studied by comparing injectors with and without swirl against a baseline of a low recess ratio gas injection. In atmospheric pressure-spray experiments, injector performance was assessed using backlight photography, cross-sectional imaging with a structured laser illumination planar imaging technique (SLIPI), and droplet analysis using ParticleMaster. Increasing the recess ratio led to reduced spray angle and droplet size, and trends of gas swirl-type injectors were similar to those of high recess ratio gas jet-type injectors. Combustion tests involved fabricating combustion chamber heads equipped with identical injectors, varying only the injector type. Oxidizer-rich combustion gas, produced by a pre-burner, and kerosene served as propellants. Combustion characteristics, including characteristic velocity, combustion efficiency, and heat flux, were evaluated. Elevated recess ratios correlated with increased characteristic velocity and reduced differences in the momentum–flux ratios of injectors. However, increasing the recess ratio yielded diminishing returns on combustion efficiency enhancement beyond a certain threshold. Gas swirling did not augment characteristic velocity but notably influenced heat flux distribution. The trends observed in spray tests were related to combustion characteristics regarding heat flux and combustion efficiency. Additionally, it was possible to estimate changes in the location and shape of the flame according to the characteristics of the injector.
A Combined Paddy Field Inter-Row Weeding Wheel Based on Display Dynamics Simulation Increasing Weed Mortality
Authors: Wang Jinwu , Liu Zhe , Yang Mao , Zhou Wenqi , Tang Han , Qi Long , Wang Qi , Wang Yi-Jia
Published: March 2024

Weeds compete with rice for sunlight and nutrients and are prone to harboring pathogens, leading to reduced rice yields. Addressing the issues of low weeding efficiency and weed mortality rates in existing inter-row weeding devices, the study proposes the design of a combination paddy field inter-row weeding wheel. The device’s operation process is theoretically analyzed based on the weed control requirements in the northeastern region of China, leading to the determination of specific structural parameters. This research conducted experiments on the mechanical properties of weed cutting to obtain geometric parameters for paddy field weeds. It was found that the range for the cutting gap of the dynamic–fixed blade is between 0.6 mm to 1.4 mm and the cutting angle is between 5° to 15°, resulting in the lowest peak cutting force for weeds. Using LS-DYNA R12.0.0 dynamic simulation software, a fluid–structure interaction (FSI) model of the weeding wheel–water–soil system was established. By employing the central composite experimental design principle and considering the soil stir rate and coupling stress as indicators, the optimal structural parameter combination for the device is obtained: a dynamic–fixed blade cutting gap of 1.4 mm, a cutting angle of 10.95°, and a dynamic blade install angle of −3.44°. Field experiments demonstrated that the device achieved an average weeding rate of 89.7% and an average seedling damage rate of 1.9%, indicating excellent performance. This study contributes to improving weed mortality rates and provides valuable guidance for inter-row mechanical weeding technology.
The Complex Interplay of Insulin Resistance and Metabolic Inflammation in Transition Dairy Cows
Authors: Qiao Kaixi , Jiang Renjiao , Contreras Genaro Andres , Xie Lei , Pascottini Osvaldo Bogado , Opsomer Geert , Dong Qiang
Published: March 2024

During the transition period, dairy cows exhibit heightened energy requirements to sustain fetal growth and lactogenesis. The mammary gland and the growing fetus increase their demand for glucose, leading to the mobilization of lipids to support the function of tissues that can use fatty acids as energy substrates. These physiological adaptations lead to negative energy balance, metabolic inflammation, and transient insulin resistance (IR), processes that are part of the normal homeorhetic adaptations related to parturition and subsequent lactation. Insulin resistance is characterized by a reduced biological response of insulin-sensitive tissues to normal physiological concentrations of insulin. Metabolic inflammation is characterized by a chronic, low-level inflammatory state that is strongly associated with metabolic disorders. The relationship between IR and metabolic inflammation in transitioning cows is intricate and mutually influential. On one hand, IR may play a role in the initiation of metabolic inflammation by promoting lipolysis in adipose tissue and increasing the release of free fatty acids. Metabolic inflammation, conversely, triggers inflammatory signaling pathways by pro-inflammatory cytokines, thereby leading to impaired insulin signaling. The interaction of these factors results in a harmful cycle in which IR and metabolic inflammation mutually reinforce each other. This article offers a comprehensive review of recent advancements in the research on IR, metabolic inflammation, and their intricate interrelationship. The text delves into multiple facets of physiological regulation, pathogenesis, and their consequent impacts.
Molecular Mechanisms of circRNA–miRNA–mRNA Interactions in the Regulation of Goose Liver Development
Authors: Liu Shuibing , Li Chuan , Hu Xiaolong , Mao Huirong , Liu Sanfeng , Chen Biao
Published: March 2024

The liver, a crucial metabolic organ in animals, is responsible for the synthesis, breakdown, and transport of lipids. However, the regulatory mechanisms involving both coding and noncoding RNAs that oversee the development of the goose liver remain elusive. This study aimed to fill this knowledge gap by conducting RNA-seq to profile the expression of circular RNAs (circRNAs) and microRNAs (miRNAs) during goose liver development. We analyzed circRNAs in liver samples from Sichuan white geese at three developmental stages: posthatching day 0, 10 weeks (fast growth stage), and 30 weeks (sexual maturation stage). Our findings revealed 11,079 circRNAs and 994 miRNAs, among which the differentially expressed circRNAs and miRNAs were significantly enriched in pathways such as fatty acid biosynthesis, degradation, and metabolism. Further analysis of the target genes of the differentially expressed miRNAs revealed enrichment in pathways related to fatty acid biosynthesis, metabolism, PPAR signaling, DNA replication, and the cell cycle. We also established circRNA–miRNA–mRNA regulatory networks, identifying key regulatory factors and miRNAs. In conclusion, our study offers valuable insights into the complex interplay of circRNA–miRNA–mRNA interactions during goose liver development, and illuminates the molecular pathways that regulate this vital life function.
Evaluation of Rodent Hair Tubes for Activity Indices
Authors: Dürger Joanna , Kazasidis Orestis , Brotier Héloïse , Jacob Jens
Published: March 2024

Activity indices are used to determine the presence and activity of small mammals, such as the hair index derived from the use of hair tubes. In contrast to trapping animals, hair tubes are non-invasive and less labor-intensive, and appear to be a suitable alternative in appropriate settings. We developed a method to calculate hair density semi-automatically. In addition, hair tube data were validated with field data using wildlife cameras for the small mammal community in grassland, wheat crops, and hedges to assess how well data from hair tubes match data from wildlife cameras. Adhesive tape with hair from hair tubes was processed and scanned. The resulting images were analyzed using a newly developed computer program that enables background and adhesive tape to be automatically distinguished from hair, providing a quantitative measure of hair density. Based on validation with wildlife cameras, hair tubes seem to be a suitable tool to estimate small mammal activity at the community level in several habitats. There was a moderate-to-strong positive correlation of the hair tube index with the sum of voles and Apodemus individuals (activity index) recorded in grasslands (Spearman’s correlation coefficient 0.43), hedges (0.79), and wheat (0.44). The newly developed computer program allows the automatic calculation of hair density, making it easier to assess the activity of small mammals.
Enhancing the Bioavailability and Bioactivity of Curcumin for Disease Prevention and Treatment
Authors: Bertoncini-Silva Caroline , Vlad Adelina , Ricciarelli Roberta , Giacomo Fassini Priscila , Suen Vivian Marques Miguel , Zingg Jean-Marc
Published: March 2024

Curcumin, a natural polyphenolic component from Curcuma longa roots, is the main bioactive component of turmeric spice and has gained increasing interest due to its proposed anti-cancer, anti-obesity, anti-inflammatory, antioxidant, and lipid-lowering effects, in addition to its thermogenic capacity. While intake from dietary sources such as curry may be sufficient to affect the intestinal microbiome and thus may act indirectly, intact curcumin in the body may be too low (<1 microM) and not sufficient to affect signaling and gene expression, as observed in vitro with cultured cells (10–20 microM). Several strategies can be envisioned to increase curcumin levels in the body, such as decreasing its metabolism or increasing absorption through the formation of nanoparticles. However, since high curcumin levels could also lead to undesired regulatory effects on cellular signaling and gene expression, such studies may need to be carefully monitored. Here, we review the bioavailability of curcumin and to what extent increasing curcumin levels using nanoformulations may increase the bioavailability and bioactivity of curcumin and its metabolites. This enhancement could potentially amplify the disease-preventing effects of curcumin, often by leveraging its robust antioxidant properties.
Field Telemetry Drilling Dataset Modeling with Multivariable Regression, Group Method Data Handling, Artificial Neural Network, and the Proposed Group-Method-Data-Handling-Featured Artificial Neural Network
Authors: Mohammad Amir , Belayneh Mesfin
Published: March 2024

This paper presents data-driven modeling and a results analysis. Group method data handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new proposed GMDH-featured ANN machine learning algorithms were implemented to model a field telemetry equivalent mud circulating density (ECD) dataset based on surface and subsurface drilling parameters. Unlike the standard GMDH-ANN model, the proposed GMDH-featured ANN utilizes a fully connected network. Based on the considered eighteen experimental modeling designs, all the GMDH regression results showed higher R-squared and minimum mean-square error values than the multivariable regression results. In addition, out of the considered eight experimental designs, the GMDH-ANN model predicts about 37.5% of the experiments correctly, while both algorithms have shown similar results for the remaining experiments. However, further testing with diverse datasets is necessary for better evaluation.
Electron Absorbed Fractions and S Factors for Intermediate Size Target Volumes: Comparison of Analytic Calculations and Monte Carlo Simulations
Authors: Kotroumpelou Christina , Kyriakou Ioanna , Ivanchenko Vladimir , Incerti Sebastien , Emfietzoglou Dimitris
Published: March 2024

The absorbed fraction and the S factor represent fundamental quantities in MIRD-based dosimetry of radiopharmaceutical therapy (RPT). Although Monte Carlo (MC) simulations represent the gold standard in RPT dosimetry, dose point kernels (DPK) obtained from analytic range–energy relations offer a more practical alternative for charged-particle dosimetry (β- or α-emitters). In this work, we perform DPK- and MC-based calculations of the self-absorbed fractions and S factors for monoenergetic electrons uniformly distributed in intermediate-size target volumes (~mm to cm) relevant to micrometastasis and disseminated disease. Specifically, the aim of the present work is as follows: (i) the development of an analytic range–energy relation, effective over a broad energy range (100 keV–20 MeV) covering most applications of radiotherapeutic interest; (ii) the application of the new formula to DPK-based calculations of the absorbed fraction and S factor and comparison against MC simulations (both published and present work data) as well as the MIRDcell V2.0.16 software, which uses a similar analytic methodology; and (iii) the study of the influence of simulation parameters (step-size, tracking/production cut-off energies, and ionization model) in Geant4-based calculations of S factors. It is shown that the present DPK-based calculations are in excellent agreement (within 1.5%) with the MIRDcell software, while also being in fair agreement with published MC data as well as with the new Geant4 simulations, with average differences of ~20% for the (sub) mm-sized volumes and ~10% for the cm-sized volumes. The effect of the choice of Geant4 simulation parameters was found to be negligible for the examined target volumes (~mm), except for the use of the Penelope ionization model, which may exhibit noticeable discrepancies (up to ~20%) against the Standard and Livermore models. The present work provides quantitative information that may be useful to both the MC- and DPK-based beta dosimetry of micrometastasis and disseminated disease, which represents an important field of application of RPT.
Novel Fabrication Method for Pressure-Sensing Polymeric Optical Fiber (POF) Fabric with Non-Direct-Contact Conductive System
Authors: Li Meng , Hu Kun , Ge Lan , Xue Wenliang , Dong Aihua , Tan Qiu
Published: March 2024

Considering the current limitations of intelligent interactive in electronic integration and luminescent modes, this paper proposes a novel fabrication method for pressure-sensing POF fabrics with a non-direct-contact conductive system. In this system, conductive materials are concealed in the fabric structure to avoid direct contact with the human body. It was enabled by integrating layered weave structure, POFs, conductive yarns, and fabric patches within the fabric. Laser engraving was also applied on the fabric surface to achieve intricate pattern design. Experimental tests were conducted on sensing and luminescent properties of this POF fabric. The circuit module and software were developed to support the interactive function. The potential application of this fabric in the interior components of intelligent cockpits was envisioned. The research results show that the POF fabric integrated with conductive yarns and conductive fabric patches has good pressure sensitivity, enabling control of the fabric’s luminescent color by pressing the fabric surface. The non-direct-contact conductive system developed in this study offers the advantage of electrical signal stability by avoiding interference from human body resistance and grounding conditions. The development of this type of interactive luminescent textile holds promising prospects for application and development in various fields, including intelligent cockpits.
Exploiting Hidden Information Leakages in Backward Privacy for Dynamic Searchable Symmetric Encryption
Authors: Yoon Hyundo , Yu Muncheon , Hahn Changhee , Koo Dongyoung , Hur Junbeom
Published: March 2024

Dynamic searchable symmetric encryption (DSSE) enables searches over encrypted data as well as data dynamics such as flexible data addition and deletion operations. A major security concern in DSSE is how to preserve forward and backward privacy, which are typically achieved by removing the linkability between the newly added data and previous queries, and between the deleted data and future queries, respectively. After information leakage types were formally defined for different levels of backward privacy (i.e., Type-I, II, III), many backward private DSSE schemes have been constructed under the definitions. However, we observed that the backward privacy can be violated by leveraging additional secondary leakage, which is typically leaked in specific constructions of schemes in spite of their theoretical guarantees. In this paper, in order to understand the security gap between the theoretical definitions and practical constructions, we conduct an in-depth analysis of the root cause for the secondary leakage, and demonstrate how it can be abused to violate Type-II backward privacy (e.g., the exposure of the deletion history) of DSSE constructions in practice. We then propose a novel Type-II backward private DSSE scheme based on Intel SGX, which is resilient to the secondary leakage abuse attack. According to the comparative analysis of our scheme with the state-of-the-art SGX-based DSSE schemes, Bunker-B (EuroSec’19) and SGX-SE1 (ACNS’20), our scheme shows higher efficiency in terms of the search latency with a negligible utility loss under the same security level (cf. Bunker-B) while showing similar efficiency with a higher security level (cf. SGX-SE1). Finally, we formally prove that our scheme guarantees Type-II backward privacy.
A Model for Simulating the Upward Flow of a Viscous Fluid in a Fracture Network
Authors: Qin Zhipeng , Li Yang , Li Huifen , Men Jiakun , Zhang Shuhang
Published: March 2024

Fluid migration in a fracture network plays an important role in the oil accumulation mechanism and hence is key to oil exploration. In this study, we build a model by combining one-dimensional (1D) Navier–Stokes equations, linear elastic equations, and energy equations, and validate the model by reproducing the thickness profile of a fluid-driven crack measured in an experiment. We employ this model to simulate the upward flow of viscous fluid in a single fracture during hydrocarbon migration. The simulation suggests that the parameters of both the fluid and the surrounding rock matrix, as well as the boundary condition imposed on the fracture outlet, affect the upward flow in the fracture. We then extend our model from the single fracture to the bifurcated fracture and the fracture network by maintaining homogeneous pressure and mass conservation at the connection of the channels. We find that the increase in network complexity leads to an increase in the inlet pressure gradient and inlet speed, and a decrease in the outlet pressure gradient and outlet speed. The effective area where the fluid is driven upward from the inlet to the outlet is offset toward the inlet. More importantly, the main novelty of our model is that it allows us to evaluate the effect of inconsistencies in individual branch parameters, such as matrix stiffness, permeability, temperature, and boundary conditions, on the overall upward flow of viscous fluid. Our results suggest that the heterogeneity enforces the greater impact on the closer branches.
Correlation between Spring Wheat Physiological Indicators and UAV Digital Image Index in Hetao Irrigation Area
Authors: Xie Min , Luo Jun , Li Lijun , Zhang Peng , Wu Qiang , Li Mengyuan , Wang Haixia , Zhang Yongping
Published: March 2024

To accurately and non-destructively monitor the growth of spring wheat in the Hetao irrigation area, UAV remote sensing was employed during various fertility stages. Digital image indices from diverse fertilization treatments were calculated and compared with physiological indices to identify the most sensitive digital image indices corresponding to these indices. The study underscored the critical importance of the flowering stage in the growth of spring wheat, thus highlighting the necessity of focusing on this stage. This finding reiterated that the flowering stage was pivotal for spring wheat development in the Hetao Irrigation Area. Several digital image indices, such as GLA, R, G, INT, g, GRVI, MGRVI, RGBVI, EXG, and GRRI, exhibited a high frequency of significant correlations with physiological indices during the four primary reproductive stages of wheat. Consequently, these sensitive digital image indices during the flowering stage can more effectively characterize the physiological indices of spring wheat.
Brain Age Prediction Using Multi-Hop Graph Attention Combined with Convolutional Neural Network
Authors: Lim Heejoo , Joo Yoonji , Ha Eunji , Song Yumi , Yoon Sujung , Shin Taehoon
Published: March 2024

Convolutional neural networks (CNNs) have been used widely to predict biological brain age based on brain magnetic resonance (MR) images. However, CNNs focus mainly on spatially local features and their aggregates and barely on the connective information between distant regions. To overcome this issue, we propose a novel multi-hop graph attention (MGA) module that exploits both the local and global connections of image features when combined with CNNs. After insertion between convolutional layers, MGA first converts the convolution-derived feature map into graph-structured data by using patch embedding and embedding-distance-based scoring. Multi-hop connections between the graph nodes are modeled by using the Markov chain process. After performing multi-hop graph attention, MGA re-converts the graph into an updated feature map and transfers it to the next convolutional layer. We combined the MGA module with sSE (spatial squeeze and excitation)-ResNet18 for our final prediction model (MGA-sSE-ResNet18) and performed various hyperparameter evaluations to identify the optimal parameter combinations. With 2788 three-dimensional T1-weighted MR images of healthy subjects, we verified the effectiveness of MGA-sSE-ResNet18 with comparisons to four established, general-purpose CNNs and two representative brain age prediction models. The proposed model yielded an optimal performance with a mean absolute error of 2.822 years and Pearson’s correlation coefficient (PCC) of 0.968, demonstrating the potential of the MGA module to improve the accuracy of brain age prediction.
Odontogenic Sarcomas of the Mandible
Authors: Akers Jared , Geisler Emily , Qiu Suimin , Konofaos Petros , Marwan Hisham
Published: March 2024

Odontogenic sarcomas are exceedingly rare and account for less than 5% of all Maxillofacial Sarcomas. It usually affects the younger population. The posterior mandible is the most commonly affected site. Radiographically, it appears as a large destructive radiolucent lesion with ill-defined margins. Histopathological diagnosis is usually difficult. Surgery is the mainstay treatment. The role of chemotherapy and radiation therapy is not clear. Here, we present a case study of a 30-year-old female patient diagnosed with odontogenic sarcoma that impinged on her airway. The treatment and postoperative course will be discussed in detail.
The Influence of Emotional Intelligence on Quality of Life in Patients Undergoing Chronic Hemodialysis Focused on Age and Gender
Authors: Masià-Plana Afra , Sitjar-Suñer Miquel , Mantas-Jiménez Susana , Suñer-Soler Rosa
Published: March 2024

Emotional intelligence is a health predictor as it has an effect on quality of life, given that it affects a person’s capacity to use and regulate emotions and consequently has an influence on their physical and mental condition. The aim of this study is to analyze emotional intelligence, quality of life, and associated correlation factors in patients undergoing chronic hemodialysis, differentiating age and gender differences. A multicenter study of one hundred and thirty-eight hemodialysis patients was conducted using a quantitative, observational, and cross-sectional design. A battery of questionnaires, including Trait Meta-Mood Scale (TMMS-24), Kidney Disease Quality of Life—Short Form (KDQOL-SF), and an ad hoc sociodemographic questionnaire, were administered. The Chi-squared test, the Student’s t-test, and one-way ANOVA were used to compare categorical, independent, and continuous variables, respectively. A linear regression model was used to compare variables associated with quality of life. Gender differences existed when assessing the three dimensions of emotional intelligence: ranked by order, the highest scores in males were in clarity, repair, and attention. However, in females, the highest scores were in repair, clarity, and attention. Males had higher scores than females in emotional roles (p = 0.045). Younger participants had better scores in all physical functions (p = 0.001) and vitality (p = 0.038). Participants who had a higher level of education presented better physical function (p = 0.027) and higher scores in emotional wellbeing (p = 0.036). Finally, in females, emotional attention (p = 0.046) and repair (p = 0.000) were strongly associated with general health perception. The assessment of emotional intelligence considering gender differences in patients undergoing chronic hemodialysis can be an indicator of quality of life, including for use in health interventions.
Study on Resilience Evaluation for Construction Management of Major Railway Projects
Authors: Jiang Wenchao , Zhao Xi , Cai Chaoxun , Chang Kai , Liu Kai , Liu Yuming
Published: March 2024

The construction of major railway projects poses significant risks, which present considerable challenges to construction management. To accurately assess the level of construction management for these projects, this study incorporated resilience theory into the field. The grounded theory method was utilized to establish a resilience evaluation indicator system for managing a major railway project construction. Additionally, a resilience evaluation model based on the Analytic Hierarchy Process (AHP) and fuzzy comprehensive evaluation method was proposed. This model was applied to evaluate the construction management resilience of a major railway project located in the mountainous region of southwest China. The results indicated that the project exhibits a very high overall level of construction management resilience. Specifically, it demonstrates high levels of ability to monitor and warn, an ability to resist absorption, and an ability to respond to emergencies. Additionally, it showcases high levels of ability to recover and rebuild, and an ability to learn to adapt. The evaluation results were consistent with the actual situation and verified the correctness and reliability of the method. Based on the aforementioned research findings, this paper puts forward recommendations on material redundancy and resource security from a resource perspective, and suggestions on organizational optimization and personnel capacity improvement from a subject perspective, thus indicating directions for enhancing the management level of major engineering railway constructions.
Priority Needs for Facilities of Office Buildings in Thailand: A Copula-Based Ordinal Regression Model with Machine Learning Approach
Authors: Sriboonjit Jittaporn , Singvejsakul Jittima , Yamaka Worapon , Thongkairat Sukrit , Sriboonchitta Songsak , Liu Jianxu
Published: March 2024

In the rapidly evolving business landscape of Thailand, the design and facilities of office buildings play a crucial role in enhancing employee satisfaction and productivity. This study seeks to answer the question: “How can office building facilities be optimized to meet the diverse preferences of occupants in Thailand, thereby improving their satisfaction and productivity”? This study employs a copula-based ordinal regression model combined with machine learning techniques to investigate the determinants of facility preferences in office buildings in Thailand. By analyzing data from 372 office workers in Bangkok, we identify the factors influencing facility needs and preferences, and measure the correlation between these preferences. Our findings reveal that safety and security are the highest-rated amenities, indicating their importance in the workplace. The findings reveal distinct preferences across demographic groups: age negatively influences the demand for certain amenities like lounges, while higher education levels increase the preference for cafeteria services. Employees in smaller firms show a higher preference for lounges and fitness centers but lower for restaurants and cafeterias. Interestingly, the size of the enterprise does not significantly affect preferences for fundamental facilities like security and cleaning. The study also uncovers the significant role of gender and income in shaping preferences for certain facilities. These results suggest that while basic amenities are universally valued, luxury or leisure-oriented facilities are more appreciated in smaller, possibly more community-focused work environments. This study highlights the need for tailored facility management in office buildings, considering the diverse needs of different employee groups, which has significant implications for enhancing workplace satisfaction and productivity.
The Lipidomic Signature of Glioblastoma: A Promising Frontier in Cancer Research
Authors: Yu Nina , Aboud Orwa
Published: March 2024

Glioblastoma is the most aggressive primary brain malignancy in adults, and has a survival duration of approximately 15 months. First line treatment involves surgical resection, chemotherapy, and radiation, but despite the multi-pronged approach and advances in cancer research, glioblastoma remains devastating with a high mortality rate. Lipidomics is an emerging discipline that studies lipid pathways and characteristics, and is a promising field to understand biochemical mechanisms. In glioblastoma, disrupted lipid homeostasis has been reported in the literature. A thorough understanding of serum lipidomics may offer ways to better understand glioblastoma biomarkers, prognosis, and treatment options. Here, we review the literature, offering future directions for lipidomics research in glioblastomas.
Chronic Lymphocytic Leukemia (CLL) with Borderline Immunoglobulin Heavy Chain Mutational Status, a Rare Subgroup of CLL with Variable Disease Course
Authors: Angotzi Francesco , Cellini Alessandro , Ruocco Valeria , Cavarretta Chiara Adele , Zatta Ivan , Serafin Andrea , Pravato Stefano , Pagnin Elisa , Bonaldi Laura , Frezzato Federica , Facco Monica , Piazza Francesco , Trentin Livio , Visentin Andrea
Published: March 2024

Chronic lymphocytic leukemia (CLL) exhibits substantial variability in disease course. The mutational status of the B-cell receptor immunoglobulin heavy variable (IGHV) chain is a critical prognostic factor, categorizing patients into mutated (M-IGHV) and unmutated (U-IGHV) groups. Recently, a third subgroup with borderline mutational status (BL-IGHV) has been identified, comprising approximately 5% of CLL cases. This study retrospectively analyzes the outcomes of 30 BL-IGHV mutated patients among a cohort of 653 CLL patients, focusing on time to first treatment (TTFT) and overall survival (OS). BL-IGHV patients had a short TTFT similar to U-IGHV patients (median 30.2 vs. 34 months; p = 0.9). Conversely, the OS of BL-IGHV patients resembled M-IGHV patients (median NR vs. 258 months; p = 1). Despite a similar incidence in unfavorable prognostic factors, the TTFT was shorter compared to other published cohorts. However, striking similarities with other experiences suggest that BL-IGHV mutated patients share common biological characteristics, biased IGHV gene usage and BCR subset frequency. These findings also underscore the need for multicentric efforts aggregating data on BL-IGHV CLL in order to elucidate its disease course and optimize therapeutic approaches for this rare subgroup. Until then, predicting outcomes and optimal management of BL-IGHV CLL will remain challenging.
Local Treatment of Colorectal Liver Metastases in the Presence of Extrahepatic Disease: Survival Outcomes from the Amsterdam Colorectal Liver Met Registry (AmCORE)
Authors: Schulz Hannah H. , Dijkstra Madelon , van der Lei Susan , Vos Danielle J. W. , Timmer Florentine E. F. , Puijk Robbert S. , Scheffer Hester J. , van den Tol M. Petrousjka , Lissenberg-Witte Birgit I. , Buffart Tineke E. , Versteeg Kathelijn S. , Swijnenburg Rutger-Jan , Meijerink Martijn R.
Published: March 2024

Background: The simultaneous presence of colorectal liver metastases (CRLMs) and extrahepatic metastases in patients with colorectal cancer (CRC) can be considered a relative contraindication for local treatment with curative intent. This study aims to assess the survival outcomes of patients with CRLMs and extrahepatic metastases after comprehensive local treatment of all metastatic sites. Methods: Patients with CRLMs who received local treatment of all metastatic sites were extracted from the prospective AmCORE registry database and subdivided into two groups: CRLM only vs. CRLM and extrahepatic metastasis. To address potential confounders, multivariate analysis was performed. The primary endpoint was overall survival (OS). Results: In total, 881 patients with CRLM only and 60 with CRLM and extrahepatic disease were included, and the median OS was 55.7 months vs. 42.7 months, respectively. Though OS was significantly lower in patients with concomitant extrahepatic metastases (HR 1.477; 95% CI 1.029–2.121; p = 0.033), the survival curve plateaued after 6.2 years. Extrahepatic manifestations were pulmonary (43.3%), peritoneal (16.7%) and non-regional lymph node metastases (10.0%). In patients with pulmonary and non-regional lymph node metastases, OS did not significantly differ from patients with CRLM-only disease; concomitant peritoneal metastases showed an inferior OS (HR 1.976; 95% CI 1.017–3.841, p = 0.041). Conclusions: In this comparative series, OS was inferior for patients with multi-organ metastatic CRC versus patients with CRLMs alone. Nonetheless, the long-term survival curve plateau seemed to justify local treatment in a subset of patients with multi-organ metastatic CRC, especially for patients with CRLMs and pulmonary or lymph node metastases.
Functional Selectivity of Cannabinoid Type 1 G Protein-Coupled Receptor Agonists in Transactivating Glycosylated Receptors on Cancer Cells to Induce Epithelial–Mesenchymal Transition Metastatic Phenotype
Authors: Bunsick David A. , Matsukubo Jenna , Aldbai Rashelle , Baghaie Leili , Szewczuk Myron R.
Published: March 2024

Understanding the role of biased G protein-coupled receptor (GPCR) agonism in receptor signaling may provide novel insights into the opposing effects mediated by cannabinoids, particularly in cancer and cancer metastasis. GPCRs can have more than one active state, a phenomenon called either ‘biased agonism’, ‘functional selectivity’, or ‘ligand-directed signaling’. However, there are increasing arrays of cannabinoid allosteric ligands with different degrees of modulation, called ‘biased modulation’, that can vary dramatically in a probe- and pathway-specific manner, not from simple differences in orthosteric ligand efficacy or stimulus-response coupling. Here, emerging evidence proposes the involvement of CB1 GPCRs in a novel biased GPCR signaling paradigm involving the crosstalk between neuraminidase-1 (Neu-1) and matrix metalloproteinase-9 (MMP-9) in the activation of glycosylated receptors through the modification of the receptor glycosylation state. The study findings highlighted the role of CB1 agonists AM-404, Aravnil, and Olvanil in significantly inducing Neu-1 sialidase activity in a dose-dependent fashion in RAW-Blue, PANC-1, and SW-620 cells. This approach was further substantiated by findings that the neuromedin B receptor inhibitor, BIM-23127, MMP-9 inhibitor, MMP9i, and Neu-1 inhibitor, oseltamivir phosphate, could specifically block CB1 agonist-induced Neu-1 sialidase activity. Additionally, we found that CB1 receptors exist in a multimeric receptor complex with Neu-1 in naïve, unstimulated RAW-Blue, PANC-1, and SW-620 cells. This complex implies a molecular link that regulates the interaction and signaling mechanism among these molecules present on the cell surface. Moreover, the study results demonstrate that CB1 agonists induce NFκB-dependent secretory alkaline phosphatase (SEAP) activity in influencing the expression of epithelial–mesenchymal markers, E-cadherin, and vimentin in SW-620 cells, albeit the impact on E-cadherin expression is less pronounced compared to vimentin. In essence, this innovative research begins to elucidate an entirely new molecular mechanism involving a GPCR signaling paradigm in which cannabinoids, as epigenetic stimuli, may traverse to influence gene expression and contribute to cancer and cancer metastasis.
The Global Occurrences of Cleft Lip and Palate in Pediatric Patients and Their Association with Demographic Factors: A Narrative Review
Authors: Putri Farah Asnely , Pattamatta Madhuri , Anita Sheylla Edu September , Maulina Tantry
Published: March 2024

Objective: Orofacial clefts are one of the most common abnormalities that occur in the orofacial area. Due to their high prevalence, special attention provided to risk factors and their possible involvement in the occurrence of orofacial clefts is of importance. The objective of this study was to review the current global occurrence of orofacial clefts and the possible linkage of previously investigated risk factors to the occurrence of orofacial clefts. Review: The risk factors of orofacial clefts can be classified into two groups, modifiable risk factors and non-modifiable risk factors. Due to the extent of elaboration of each risk factor in each group, this current narrative review is limited to several mostly investigated risk factors, which included a review of parental age, sexual disparities, educational attainment, and income. Studies indicate that Asians are more likely than other races to have orofacial clefts, with a higher incidence rate in men than in women. There is evidence that the age of the parents is associated with the chance of the occurrence of orofacial cleft. The prevention of orofacial clefts and the distribution of medical resources depend heavily on a thorough understanding of epidemiology on a global scale. Nevertheless, the earlier studies concentrated on more developed nations or areas, and registry data from low-income nations had significant gaps. The findings of this narrative review can be used as the scientific basis for further research within this area. Conclusion: The occurrence rate of orofacial clefts remains high in several regions. Possible associations between parental age, sexual disparities, educational attainment, and family income to the occurrence of orofacial clefts remain contradictory, indicating the importance of further research to obtain more insights.
Ag Behavior on TiN Thin Films for Decorative Coatings
Authors: Arruda Antonio Carlos Santos de , Mansano Ronaldo Domingues , Ordonez Nelson , Ruas Ronaldo , Durrant Steven Frederick
Published: March 2024

TiN-Ag ceramic coatings deposited by magnetron sputtering on silicon wafers and AISI F138 stainless-steel substrates with different Ag concentrations were evaluated for their application as decorative coatings. The results obtained indicated an almost linear increase in the thickness and roughness of the film as a function of the increase in the silver content of the film. For Ag concentrations greater than (8.3 ± 0.5) at %, a matte/satin finish was observed, i.e., a dull surface, produced by the agglomeration of particulates and the increase in roughness, respectively, which was corroborated by SEM and AFM analyses. The EDS analyses indicated particles with a high concentration of silver, but the elements titanium and nitrogen were also observed, indicating the formation of the TiN-Ag coating. The L*a*b* parameters in the CIELab color space were evaluated. No major variations were observed for coatings A and B (Ag concentrations of (4.1 ± 0.4) and (6.3 ± 1.2) at %, respectively). When the Ag content increased substantially, there was a corresponding decrease in L* values, as well as a shift in red reflectance. Furthermore, unwanted changes in the visual appearance and resistance to accelerated corrosion (salt spray) were also analyzed, as these factors compromised the film’s aesthetics in decorative applications.
Human–Hyena (Crocuta crocuta) Conflict in the Tarangire Ecosystem, Tanzania
Authors: Raycraft Justin
Published: March 2024

Interactions between people and large carnivores on shared landscapes can have harmful social and ecological consequences. Human–carnivore coexistence depends on an assemblage of sociological factors including effective management institutions that address the social costs of carnivore conservation and promote tolerance toward wildlife. In East Africa, large carnivores are particularly troublesome for herders who depend on livestock for subsistence and wellbeing. This paper provides an overview of human–hyena conflict in the Tarangire ecosystem of northern Tanzania. It presents descriptive results from a questionnaire survey (n = 1076) administered as part of an anthropological study (2019–2020; 2022; 2023) of human–wildlife interactions across twelve villages inhabited by Maasai agropastoralists. The survey instrument was designed through community-based participatory research methods to convey herder concerns about the impacts of spotted hyenas (Crocuta crocuta) on the livestock economy. Based on the perceptions and local ecological knowledge of Maasai interlocutors, the paper provides an overview of the spatial and temporal patterns of human–hyena interactions. Perceived frequencies of hyena attacks on kraaled livestock were unevenly distributed geographically, with those homesteads surrounding Manyara Ranch most heavily affected. Based on herder-reported livestock losses, the costs of depredation by spotted hyenas across the study area were estimated at approximately USD 904.84 per household per year. Most homesteads lacked fortified bomas and would benefit from the provision of lights and fencing materials to improve kraal structures. The paper’s central finding is that spotted hyenas represent a pressing, everyday concern for local pastoralists. Unsurprisingly, herders despise hyenas and are intolerant of sharing landscapes with them. For carnivore conservation outside protected areas to thrive in Tanzania, conservationists and policy makers must engage more meaningfully with the lived experiences of local herders who bear the brunt of conservation costs on their livelihoods.