bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Clinical Application of Left Ventricular–Arterial Coupling Non-Invasive Assessment Methods
Authors: Gamarra Alvaro , Díez-Villanueva Pablo , Salamanca Jorge , Aguilar Rio , Mahía Patricia , Alfonso Fernando
Published: May 2024

The constant and dynamic interaction between ventricular function and arterial afterload, known as ventricular-arterial coupling, is key to understanding cardiovascular pathophysiology. Ventricular–arterial coupling has traditionally been assessed invasively as the ratio of effective arterial elastance over end-systolic elastance (Ea/Ees), calculated from information derived from pressure–volume loops. Over the past few decades, numerous invasive and non-invasive simplified methods to estimate the elastance ratio have been developed and applied in clinical investigation and practice. The echocardiographic assessment of left ventricular Ea/Ees, as proposed by Chen and colleagues, is the most widely used method, but novel echocardiographic approaches for ventricular–arterial evaluation such as left ventricle outflow acceleration, pulse-wave velocity, and the global longitudinal strain or global work index have arisen since the former was first published. Moreover, multimodal imaging or artificial intelligence also seems to be useful in this matter. This review depicts the progressive development of these methods along with their academic and clinical application. The left ventricular–arterial coupling assessment may help both identify patients at risk and tailor specific pharmacological or interventional treatments.
Examining Variability in Intra-Hospital Patient Referrals to Specialized Palliative Care: A Comprehensive Analysis of Disciplines and Mortality
Authors: Fischer Claudia , Dirschmid Katharina , Masel Eva Katharina
Published: May 2024

Background: In Austria, specialized palliative care (SPC) access is limited, with unclear referral criteria, making it challenging to identify hospitalized patients requiring SPC and determine referral timing and mortality at the palliative care unit (PCU). Methods: This retrospective cohort study analyzed patients who underwent a palliative care (PC) needs assessment between March 2016 and November 2021 and were subsequently admitted to the PCU of Austria’s largest academic hospital. Demographic, clinical, and standardized referral form data were used for analysis, employing descriptive statistics and logistic regression. Results: Out of the 903 assessed patients, 19% were admitted to the PCU, primarily cancer patients (94.7%), with lung (19%) and breast cancer (13%) being most prevalent. Common referral reasons included pain (61%) and nutritional problems (46%). Despite no significant differences in referral times, most patients (78.4%) died in the PCU, with varying outcomes based on cancer type. Referral reasons like pain (OR = 2.3), nutritional problems (OR = 2.4), and end-of-life care (OR = 6.5) were significantly associated with the outcome PCU mortality. Conclusions: This study underscores Austria’s SPC access imbalance and emphasizes timely PC integration across disciplines for effective advance care planning and dignified end-of-life experiences in PCUs.
Modeling a Zero-Emissions Hydrogen-Powered Catamaran Ferry Using AVL Cruise-M Software
Authors: Micoli Luca , Coppola Tommaso , Russo Roberta , Sorrentino Vincenzo
Published: May 2024

This work focuses on the modeling of a zero-emissions, high-speed catamaran ferry employing a full-electric propulsion system. It addresses the global emphasis on full-electric vessels to align with IMO regulations regarding ship emissions and energy efficiency improvement. Using the AVL Cruise-M software, this research verified the implementation of an onboard fuel cell power-generating system integrated with a propulsion plant, aiming to assess its dynamic performance under load variations. The catamaran was 30 m long and 10 m wide with a cruise speed of 20 knots. The power system consisted of a proton-exchange membrane fuel cell (PEM) system, with a nominal power of 1600 kWe, a battery pack with a capacity of 2 kWh, two 777 kW electric motors, and their relative balance of the plant (BoP) subsystems. The simulation results show that the battery effectively supported the PEM during the maneuvering phase, enhancing its overall performance and energy economy.
A Systematic Review of Denture Stomatitis: Predisposing Factors, Clinical Features, Etiology, and Global Candida spp. Distribution
Authors: Perić Mirjana , Miličić Biljana , Kuzmanović Pfićer Jovana , Živković Rade , Arsić Arsenijević Valentina
Published: May 2024

Denture stomatitis (DS) is a very common disease in wearers of removable complete and partial dentures with a worldwide prevalence in the range of 20–67%. Both industrially developed and impoverished nations are affected by the illness. DS is often associated with ill-fitting dentures or a fungal infection with Candida spp. Candida is normally found in the oral cavity microbiota, but it can be harmful to the health of elderly people with underlying diseases. Therefore, the purpose of the present study is to offer the most recent information about the epidemiology, etiology, and global distribution of Candida species associated with DS through a systematic review. Several databases, including Medline, Web of Science, and Scopus, were used to conduct an extensive search of the literature published in the previous 20 years. The selection of studies was performed by two authors. The extracted data were as follows: author, year of publication, country, sample, frequency of DS, method of diagnosing stomatitis, species of Candida, risk factors, and etiology of the disease. The JBI Critical appraisal tools were used to assess the quality of the studies. Eventually, twenty-eight studies were included in the systematic review. Twenty-one studies investigated DS, while seven studies examined Candida colonization in patients using removable dentures. The results show that the main causes of DS include the type of dentures, continuous wearing of dentures, and the formation of a Candida biofilm, which is facilitated by poor dental hygiene. Additionally, previous studies have pinpointed the significance of the salivary flow, saliva composition, and salivary pH. The findings of the current review indicate that it is crucial to monitor denture wearers for the appearance of DS, especially the patients whose immunity has been impaired due to a systemic condition. Finally, frequent follow-ups should include a clinical examination and microbial swabs of the palatal mucosa and the mucosal surface of the denture.
A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin
Authors: Kolokotroni Eleni , Abler Daniel , Ghosh Alokendra , Tzamali Eleftheria , Grogan James , Georgiadi Eleni , Büchler Philippe , Radhakrishnan Ravi , Byrne Helen , Sakkalis Vangelis , Nikiforaki Katerina , Karatzanis Ioannis , McFarlane Nigel J. B. , Kaba Djibril , Dong Feng , Bohle Rainer M. , Meese Eckart , Graf Norbert , Stamatakos Georgios
Published: May 2024

The massive amount of human biological, imaging, and clinical data produced by multiple and diverse sources necessitates integrative modeling approaches able to summarize all this information into answers to specific clinical questions. In this paper, we present a hypermodeling scheme able to combine models of diverse cancer aspects regardless of their underlying method or scale. Describing tissue-scale cancer cell proliferation, biomechanical tumor growth, nutrient transport, genomic-scale aberrant cancer cell metabolism, and cell-signaling pathways that regulate the cellular response to therapy, the hypermodel integrates mutation, miRNA expression, imaging, and clinical data. The constituting hypomodels, as well as their orchestration and links, are described. Two specific cancer types, Wilms tumor (nephroblastoma) and non-small cell lung cancer, are addressed as proof-of-concept study cases. Personalized simulations of the actual anatomy of a patient have been conducted. The hypermodel has also been applied to predict tumor control after radiotherapy and the relationship between tumor proliferative activity and response to neoadjuvant chemotherapy. Our innovative hypermodel holds promise as a digital twin-based clinical decision support system and as the core of future in silico trial platforms, although additional retrospective adaptation and validation are necessary.
An Innovative Non-Invasive Method for Early Detection and Monitoring of Acute Compartment Syndrome
Authors: Tepordei Razvan Tudor , Zamfir Carmen Lacramioara , Nedelcu Alin Horatiu , Avadanei Ovidiu Gabriel , Cozma Tudor , Alexa Ovidiu , Ursaru Manuela , Perianu Lacramioara , Starcea Iuliana Magdalena , Ioniuc Ileana , Lupu Vasile Valeriu , Lupu Ancuta
Published: May 2024

Background: Acute compartment syndrome is a major surgical emergency with complex pathophysiology and a highly unpredictable pattern of evolution. We hypothesized that the onset of acute compartment syndrome of the leg or forearm is associated with variations in the surface temperature of the distal segment (foot or hand) with a distinct pattern, which acts as an early warning sign. Materials and Methods: We developed a monitoring device that consists of two thermic sensors attached to a modular limb splint, which continuously measure the temperature difference between the proximal and distal regions of the limb (i.e., arm–hand, thigh–foot). Firstly, we investigated both the arm–hand and thigh–foot temperature gradients of hospitalized patients’ healthy limbs (43 patients, 56 upper limbs, 64 lower limbs) in order to establish a baseline. Secondly, we examined the correlation between the thermic gradients and intracompartmental pressure values in compartment syndrome limbs (20 patients, 6 upper limbs, 14 lower limbs). Results: For the control group, the mean values for the normal limb thermic gradients were −0.17 °C for the upper limbs. and 0.03 °C for the lower limbs. In the impending compartment syndrome group (defined by intracompartmental pressure values), the mean index was −0.38 °C. In the fully developed compartment syndrome group, the mean value was 4.11 °C. Discussions: Analysis was performed using the ANOVA one-way statistical method. This showed significant differences between the compartment syndrome group and the impending and control groups. A decreasing trend in the thermic gradient in patients with impending compartment syndrome compared with the control group was noted. Conclusions: The thermic gradient of limbs presenting signs of impending compartment syndrome decreases as a result of the increased temperature of the distal segment. This pattern can be used as an early diagnostic method for acute compartment syndrome. This technique is non-invasive and bears no risk to the patient, allowing facile continuous monitoring during immobilization.
Investigation into the Heat Transfer Behavior of Electrostatic Atomization Minimum Quantity Lubrication (EMQL) during Grinding
Authors: He Zhiyong , Jia Dongzhou , Zhang Yanbin , Qu Da , Lv Zhenlin , Zeng Erjun
Published: May 2024

Electrostatic atomization minimum quantity lubrication (EMQL) technology has been developed to address the need for environmentally friendly, efficient, and low-damage grinding of challenging titanium alloy materials. EMQL leverages multiple physical fields to achieve precise atomization of micro-lubricants, enabling effective lubrication in high temperature, high pressure, and high-speed grinding environments through the use of electric traction. Notably, the applied electric field not only enhances atomization and lubrication capabilities of micro-lubricants but also significantly impacts heat transfer within the grinding zone. In order to explore the influence mechanism of external electric field on spatial heat transfer, this paper first comparatively analyzes the grinding heat under dry grinding, MQL, and EMQL conditions and explores the intensity of the effect of external electric field on the heat transfer behavior in the grinding zone. Furthermore, the COMSOL numerical calculation platform was used to establish an electric field-enhanced (EHD) heat transfer model, clarifying charged particles’ migration rules between poles. By considering the electroviscous effect, the study reveals the evolution of heat transfer structures in the presence of an electric field and its impact on heat transfer mechanisms.
High-Temperature and High-Pressure Tribological Properties of Siliconized Graphite for Water-Lubricated Thrust Bearing Application in Main Coolant Pump
Authors: Liu Sihang , Zhang Baojun , Cai Long , Wang Weiguang , Liang Taihe , Lei Mingkai
Published: May 2024

The effect of the microstructure of siliconized graphite on tribological properties is investigated by using a high-temperature and high-pressure water-lubricated tribometer on a self-mated ring-on-ring configuration under an applied load of 500–1500 N with a spindle speed of 100–5000 rpm in both 90 °C (5 MPa) and 25 °C (1 MPa) water environments, respectively. The Stribeck curves measurement and continuous wear tests are performed and analyzed in both water environments. The wear behaviors of the graphite, SiC, and free-silicon phases in siliconized graphite are demonstrated to explore the wear mechanism. The larger wear depths of a low-worn surface roughness on the three phases contribute to the boundary lubrication. The shallower wear depths are observed on the SiC and Si phases under the mixed lubrication, corresponding to partial contact wear of surface asperities. The wavy surface of the SiC phase and uniform flow-oriented striae of the Si phase are attributed to hydrodynamic lubrication, caused by full water film scouring the worn surface. Finally, an integrated evaluation method of G duty parameters is successfully used to identify the lubrication regimes of siliconized graphite from the boundary, mixed, to hydrodynamic lubrications for a water-lubricated thrust bearing application in the main coolant pump of a nuclear power plant.
A Study on the Microstructure Regulation Effect of Niobium Doping on LiNi0.88Co0.05Mn0.07O2 and the Electrochemical Performance of the Composite Material under High Voltage
Authors: Xu Xinrui , Liu Junjie , Wang Bo , Wang Jiaqi , Wang Yunchang , Meng Weisong , Cai Feipeng
Published: May 2024

High-nickel ternary materials are currently the most promising lithium battery cathode materials due to their development and application potential. Nevertheless, these materials encounter challenges like cation mixing, lattice oxygen loss, interfacial reactions, and microcracks. These issues are exacerbated at high voltages, compromising their cyclic stability and safety. In this study, we successfully prepared Nb5+-doped high-nickel ternary cathode materials via a high-temperature solid-phase method. We investigated the impact of Nb5+ doping on the microstructure and electrochemical properties of LiNi0.88Co0.05Mn0.07O2 ternary cathode materials by varying the amount of Nb2O5 added. The experimental results suggest that Nb5+ doping does not alter the crystal structure but modifies the particle morphology, yielding radially distributed, elongated, rod-like structures. This morphology effectively mitigates the anisotropic volume changes during cycling, thereby bolstering the material’s cyclic stability. The material exhibits a discharge capacity of 224.4 mAh g−1 at 0.1C and 200.3 mAh g−1 at 1C, within a voltage range of 2.7 V–4.5 V. Following 100 cycles at 1C, the capacity retention rate maintains a high level of 92.9%, highlighting the material’s remarkable capacity retention and cyclic stability under high-voltage conditions. The enhancement of cyclic stability is primarily due to the synergistic effects caused by Nb5+ doping. Nb5+ modifies the particle morphology, thereby mitigating the formation of microcracks. The formation of high-energy Nb-O bonds prevents oxygen precipitation at high voltages, minimizes the irreversibility of the H2–H3 phase transition, and thereby enhances the stability of the composite material at high voltages.
Advances in Catalysts for Urea Electrosynthesis Utilizing CO2 and Nitrogenous Materials: A Mechanistic Perspective
Authors: Zhang Mengfei , Feng Tianjian , Che Xuanming , Wang Yuhan , Wang Pengxian , Chai Mao , Yuan Menglei
Published: May 2024

Electrocatalytic urea synthesis from CO2 and nitrogenous substances represents an essential advance for the chemical industry, enabling the efficient utilization of resources and promoting sustainable development. However, the development of electrocatalytic urea synthesis has been severely limited by weak chemisorption, poor activation and difficulties in C–N coupling reactions. In this review, catalysts and corresponding reaction mechanisms in the emerging fields of bimetallic catalysts, MXenes, frustrated Lewis acid–base pairs and heterostructures are summarized in terms of the two central mechanisms of molecule–catalyst interactions as well as chemical bond cleavage and directional coupling, which provide new perspectives for improving the efficiency of electrocatalytic synthesis of urea. This review provides valuable insights to elucidate potential electrocatalytic mechanisms.
Effect of Soybean Oil on the Improvement of the Functionality of Edible Membrane-Type Food Packaging Films Based on Caseinate–Carboxymethyl Chitosan Compositions
Authors: Mohamed Amal M. A. , Ramaswamy Hosahalli S.
Published: May 2024

Edible film biopolymers are gaining attention to tackle problems of plastic waste and food safety to alleviate environmental problems associated with plastic products in food packaging. In this study, caseinate–carboxymethyl chitosan (CA–CMCH) composite films were made with the incorporation of soybean oil (SO) using a casting technique. The influence of different soybean oil concentrations at 0, 0.5, and 1% (w/w) on physical, mechanical, barrier, and surface characteristics of films composed of caseinate–carboxymethyl chitosan (CA–CMCH) was evaluated. The brightest film (L* value of 95.95 ± 0.30) was obtained with the edible film made from the control group of samples with sodium caseinate (NaCA-100; 100% NaCA). The results also indicated that samples with 1% SO in NaCA-75 and CaCA-75 had lower water vapor permeability (WVP), while those with NaCA-50 and CaCA-50 showed higher values of WVP. For mechanical properties, this study found that incorporating soybean oil into the caseinate–carboxymethyl (CA–CMCH) composite films led to an enhancement of both tensile strength and elongation at break. The morphological structures, determined using SEM, of control and composite films showed compact and homogenous surfaces. Overall, the addition of soybean oil contributed to the improvement of the functional properties of the edible films, offering potential solutions to the environmental issues associated with plastic packaging and enhancing the safety and performance of food packaging.
Effect of Temperature and NaClO on the Corrosion Behavior of Copper in Synthetic Tap Water
Authors: Sun Fei , Zhang Na , Chen Shen , Li Moucheng
Published: May 2024

The corrosion behavior of copper was investigated in synthetic tap water with and without sodium hypochlorite (NaClO) at different temperatures during immersion for 70 d by using scanning electron microscopy (SEM), X-ray diffraction (XRD), and electrochemical measurement techniques. The weight loss corrosion rate and pit depth of copper first increase and then decrease with the change in solution temperature from 25 to 80 °C. This is mainly related to the corrosion products formed on the copper surface. The main corrosion products change from Cu2O and Cu2(OH)2CO3 to CuO with the increase in solution temperature. The presence of 3 ppm NaClO slightly increases the weight loss corrosion rate and pit depth of copper under all temperatures except for 50 °C and reduces the temperature of the maximum corrosion rate from 50 to 40 °C. Free chlorine reduction accelerates the cathodic reaction of the corrosion process.
Study on Mechanisms for Improving Quality and Whiteness of Phosphogypsum Based on Process Mineralogy Analysis
Authors: Dong Wanqiang , Chi Ru’an , Guo Wanxin , Deng Xiangyi , Chen Zhuo , Chen Haodong
Published: May 2024

Because of its low whiteness, complex composition, radioactivity and high impurity percentage, the usage of phosphogypsum (PG) resources is limited. A theoretical foundation for upgrading and bleaching PG can be obtained by researching the presence and status of impurities in the material and its symbiotic connection with gypsum. This paper makes use of an automatic mineral phase analyzer, optical microscope, XRF, XRD and SEM-EDS. After analyzing the chemical makeup of PG, phase composition and particle size composition, the distribution law and symbiotic interaction between impurities and gypsum in various particle sizes were discovered. Using a flotation test, the process mineralogy analysis results were confirmed. According to the XRF and XRD study results, the primary impurity elements in PG are Si, P and F. Si is more abundant in PG that is between +850 μm and −37.5 μm in size. The concentrations of gypsum and quartz in PG are 82.59% and 8.73%, respectively, according to the results of XRD and process mineralogy. The monomer dissociation degree of the gypsum mineral phase is as high as 90.47%. Gibbsite and pyrite are the primary causes of the low whiteness of PG and are clearly related to the quartz mineral phase. The coupling process of “flotation + pickling” produced purified PG with a purity of 95.35%, whiteness of 70.76% and SiO2 content of 2.73%. The quality met the first-class index standards of PG in GB/T23456-2018.
Study on Ultra-Long-Distance Transportable Concentration Gradient of Coal Gangue Slurry with Different Gradations
Authors: Wang Shi , Yu Haigen , Wu Rui , Tang Mingkun , Liu Yaohua , Liu Long , Song Xuepeng
Published: May 2024

Coal gangue, the primary solid waste generated during the coal mining process, is typically disposed of on the surface, where it gradually accumulates to form gangue piles that significantly contaminate the surrounding environment. Filling technology has been widely employed for the safe and efficient disposal of coal gangue due to its sustainability, safety, and efficiency. However, there is still a lack of theoretical research on the concentration of gangue slurry in long-distance filling pipeline transportation. Therefore, a calculation model of the ultra-long-distance transportable concentration of coal gangue slurry with different grades was constructed based on the static anti-segregation performance and Bingham model. In addition, the relevant parameters of the calculation model of the ultra-long-distance transportable concentration of coal gangue slurry in this mine were determined using the 8 km pipeline transport of coal gangue slurry in one mine as the technical background. It was subsequently demonstrated that the yield stress, plastic viscosity, and mass concentration of the various grades of gangue slurry in this mine exhibit an increasing exponential function, while the slurry density and mass concentration exhibit an increasing linear function, and the mass concentration and actual flow rate correspond to a quadratic polynomial increment. Finally, the minimum and maximum concentrations for different grades of gangue slurry that can be transported over long distances in this mine were determined. This work provides theoretical and practical guidance on how to select the concentration of gangue slurry for long-distance pipeline transport.
The Knowledge of Malnutrition—Geriatric (KoM-G) 2.0 Questionnaire for Health Care Institutions: Cross-Cultural Adaptation into German, Czech, Dutch and Turkish
Authors: Bauer Silvia , Pospichal Jan , Huppertz Viviënne , Blanar Vit , Saka Bulent , Eglseer Doris
Published: May 2024

It is necessary for nursing staff to have adequate knowledge of malnutrition in older people in order to provide high quality care. This study was conducted to update the Knowledge of Malnutrition—Geriatric (KoM-G) questionnaire to fit different settings and to cross-culturally adapt it to the German, Czech, Dutch and Turkish languages. In Part 1 of the study, the KoM-G questionnaire was updated and adapted for use in different settings. Content validation of the KoM-G 2.0 was carried out in a Delphi study with 16 experts. The final KoM-G 2.0 questionnaire consists of 16 items with a Scale Content Validity Index/Average of 94.5%. In Part 2, the English KoM-G 2.0 was cross-culturally adapted into the German, Czech, Dutch and Turkish languages. In the pilot test, between 96.9% (The Netherlands) and 97.8% (Austria) of the nursing staff rated the items as understandable. The KoM-G 2.0 is an up-to-date questionnaire with a highly satisfactory Content Validity Index. It was cross-culturally adapted into the German, Czech, Dutch, and Turkish languages, and the understandability was high. At the moment, the necessary comprehensive psychometric testing of the KoM-G 2.0 is in process. Afterwards it can be used to compare nurses’ knowledge between various countries and settings.
Impact of Preseason Climate Factors on Vegetation Photosynthetic Phenology in Mid–High Latitudes of the Northern Hemisphere
Authors: Xiang Kunlun , Guo Qian , Zhang Beibei , Wang Jiaming , Jin Ning , Wang Zicheng , Liu Jiahui , Wang Chenggong , Du Ziqiang , Wang Liang , Zhao Jie
Published: May 2024

During the period preceding the vegetation growing season (GS), temperature emerges as the pivotal factor determining phenology in northern terrestrial ecosystems. Despite extensive research on the impact of daily mean temperature (Tmean) during the preseason period, the influence of diurnal temperature range (DTR) on vegetation photosynthetic phenology (i.e., the impact of the plant photosynthetic cycle on seasonal time scale) has largely been neglected. Using a long-term vegetation photosynthetic phenology dataset and historical climate data, we examine vegetation photosynthetic phenology dynamics and responses to climate change across the mid–high latitudes of the Northern Hemisphere from 2001 to 2020. Our data reveal an advancing trend in the start of the GS (SOS) by −0.15 days per year (days yr−1), affecting 72.1% of the studied area. This is particularly pronounced in western Canada, Alaska, eastern Asia, and latitudes north of 60°N. Conversely, the end of the GS (EOS) displays a delaying trend of 0.17 days yr−1, impacting 62.4% of the studied area, especially northern North America and northern Eurasia. The collective influence of an earlier SOS and a delayed EOS has resulted in the notably prolonged length of the GS (LOS) by 0.32 days yr−1 in the last two decades, affecting 70.9% of the studied area, with Eurasia and western North America being particularly noteworthy. Partial correlation coefficients of the SOS with preseason Tmean, DTR, and accumulated precipitation exhibited negative values in 98.4%, 93.0%, and 39.2% of the study area, respectively. However, there were distinct regional variations in the influence of climate factors on the EOS. The partial correlation coefficients of the EOS with preseason Tmean, DTR, and precipitation were positive in 58.6%, 50.1%, and 36.3% of the region, respectively. Our findings unveil the intricate mechanisms influencing vegetation photosynthetic phenology, holding crucial significance in understanding the dynamics of carbon sequestration within terrestrial ecosystems amidst climate change.
Morphological and Molecular Identification of Ulva spp. (Ulvophyceae; Chlorophyta) from Algarrobo Bay, Chile: Understanding the Composition of Green Tides
Authors: Mutizabal-Aros Javiera , Ramírez María Eliana , Haye Pilar A. , Meynard Andrés , Pinilla-Rojas Benjamín , Núñez Alejandra , Latorre-Padilla Nicolás , Search Francesca V. , Tapia Fabian J. , Saldías Gonzalo S. , Navarrete Sergio A. , Contreras-Porcia Loretto
Published: May 2024

Green algae blooms of the genus Ulva are occurring globally and are primarily attributed to anthropogenic factors. At Los Tubos beach in Algarrobo Bay along the central Chilean coast, there have been blooms of these algae that persist almost year-round over the past 20 years, leading to environmental, economic, and social issues that affect the local government and communities. The objective of this study was to characterize the species that form these green tides based on a combination of ecological, morpho-anatomical, and molecular information. For this purpose, seasonal surveys of beached algal fronds were conducted between 2021 and 2022. Subsequently, the sampled algae were analyzed morphologically and phylogenetically using the molecular markers ITS1 and tufA, allowing for the identification of at least five taxa. Of these five taxa, three (U. stenophylloides, U. uncialis, U. australis) have laminar, foliose, and distromatic morphology, while the other two (U. compressa, U. aragoensis) have tubular, filamentous, and monostromatic fronds. Intertidal surveys showed that U. stenophylloides showed the highest relative coverage throughout the seasons and all intertidal levels, followed by U. uncialis. Therefore, we can establish that the green tides on the coast of Algarrobo in Chile are multispecific, with differences in relative abundance during different seasons and across the intertidal zone, opening opportunities for diverse future studies, ranging from ecology to algal biotechnology.
Hyperspectral and Fluorescence Imaging Approaches for Nondestructive Detection of Rice Chlorophyll
Authors: Zhou Ju , Li Feiyi , Wang Xinwu , Yin Heng , Zhang Wenjing , Du Jiaoyang , Pu Haibo
Published: May 2024

Estimating and monitoring chlorophyll content is a critical step in crop spectral image analysis. The quick, non-destructive assessment of chlorophyll content in rice leaves can optimize nitrogen fertilization, benefit the environment and economy, and improve rice production management and quality. In this research, spectral analysis of rice leaves is performed using hyperspectral and fluorescence spectroscopy for the detection of chlorophyll content in rice leaves. This study generated ninety experimental spectral datasets by collecting rice leaf samples from a farm in Sichuan Province, China. By implementing a feature extraction algorithm, this study compresses redundant spectral bands and subsequently constructs machine learning models to reveal latent correlations among the extracted features. The prediction capabilities of six feature extraction methods and four machine learning algorithms in two types of spectral data are examined, and an accurate method of predicting chlorophyll concentration in rice leaves was devised. The IVSO-IVISSA (Iteratively Variable Subset Optimization–Interval Variable Iterative Space Shrinkage Approach) quadratic feature combination approach, based on fluorescence spectrum data, has the best prediction performance among the CNN+LSTM (Convolutional Neural Network Long Short-Term Memory) algorithms, with corresponding RMSE-Train (Root Mean Squared Error), RMSE-Test, and RPD (Ratio of standard deviation of the validation set to standard error of prediction) indexes of 0.26, 0.29, and 2.64, respectively. We demonstrated in this study that hyperspectral and fluorescence spectroscopy, when analyzed with feature extraction and machine learning methods, provide a new avenue for rapid and non-destructive crop health monitoring, which is critical to the advancement of smart and precision agriculture.
JPSSL: SAR Terrain Classification Based on Jigsaw Puzzles and FC-CRF
Authors: Ren Zhongle , Lu Yiming , Hou Biao , Li Weibin , Sha Feng
Published: May 2024

Effective features play an important role in synthetic aperture radar (SAR) image interpretation. However, since SAR images contain a variety of terrain types, it is not easy to extract effective features of different terrains from SAR images. Deep learning methods require a large amount of labeled data, but the difficulty of SAR image annotation limits the performance of deep learning models. SAR images have inevitable geometric distortion and coherence speckle noise, which makes it difficult to extract effective features from SAR images. If effective semantic context features cannot be learned for SAR images, the extracted features struggle to distinguish different terrain categories. Some existing terrain classification methods are very limited and can only be applied to some specified SAR images. To solve these problems, a jigsaw puzzle self-supervised learning (JPSSL) framework is proposed. The framework comprises a jigsaw puzzle pretext task and a terrain classification downstream task. In the pretext task, the information in the SAR image is learned by completing the SAR image jigsaw puzzle to extract effective features. The terrain classification downstream task is trained using only a small number of labeled data. Finally, fully connected conditional random field processing is performed to eliminate noise points and obtain a high-quality terrain classification result. Experimental results on three large-scene high-resolution SAR images confirm the effectiveness and generalization of our method. Compared with the supervised methods, the features learned in JPSSL are highly discriminative, and the JPSSL achieves good classification accuracy when using only a small amount of labeled data.
A Volumetric Waveguide-Type Rotman Lens Antenna for Three-Dimensional Millimeter-Wave Beamforming
Authors: Kim Dong-Woo , Oh Soon-Soo
Published: May 2024

In this paper, a volumetric Rotman lens antenna operating at 28 GHz is proposed. The design formula and procedure were derived for the 3-D Rotman lens antenna. The number of tilted beams is 3 × 3. The six rectangular blocks are assembled using a metallic bolt. The input port consists of a waveguide, and the output port is made of an open-ended waveguide. The input and output waveguides are drilled in a flat conducting plate. The input and output port positions are optimized. Simulated and measured results show that the radiating beam is controlled almost exactly as calculated. Compared with the previous two-stage stacked Rotman lens antenna, the proposed Rotman lens antenna can dramatically decrease the antenna volume by approximately 75%.
MEMS Technology in Cardiology: Advancements and Applications in Heart Failure Management Focusing on the CardioMEMS Device
Authors: Ciotola Francesco , Pyxaras Stylianos , Rittger Harald , Buia Veronica
Published: May 2024

Heart failure (HF) is a complex clinical syndrome associated with significant morbidity, mortality, and healthcare costs. It is characterized by various structural and/or functional abnormalities of the heart, resulting in elevated intracardiac pressure and/or inadequate cardiac output at rest and/or during exercise. These dysfunctions can originate from a variety of conditions, including coronary artery disease, hypertension, cardiomyopathies, heart valve disorders, arrhythmias, and other lifestyle or systemic factors. Identifying the underlying cause is crucial for detecting reversible or treatable forms of HF. Recent epidemiological studies indicate that there has not been an increase in the incidence of the disease. Instead, patients seem to experience a chronic trajectory marked by frequent hospitalizations and stagnant mortality rates. Managing these patients requires a multidisciplinary approach that focuses on preventing disease progression, controlling symptoms, and preventing acute decompensations. In the outpatient setting, patient self-care plays a vital role in achieving these goals. This involves implementing necessary lifestyle changes and promptly recognizing symptoms/signs such as dyspnea, lower limb edema, or unexpected weight gain over a few days, to alert the healthcare team for evaluation of medication adjustments. Traditional methods of HF monitoring, such as symptom assessment and periodic clinic visits, may not capture subtle changes in hemodynamics. Sensor-based technologies offer a promising solution for remote monitoring of HF patients, enabling early detection of fluid overload and optimization of medical therapy. In this review, we provide an overview of the CardioMEMS device, a novel sensor-based system for pulmonary artery pressure monitoring in HF patients. We discuss the technical aspects, clinical evidence, and future directions of CardioMEMS in HF management.
Smart Cities for All? Bridging Digital Divides for Socially Sustainable and Inclusive Cities
Authors: Colding Johan , Nilsson Caroline , Sjöberg Stefan
Published: May 2024

This paper aims to emphasize the need for enhancing inclusivity and accessibility within smart-city societies. It represents the first attempt to apply Amartya Sen’s capability approach by exploring the implications of digital divides for promoting inclusive and climate-friendly cities that prioritize well-being, equity, and societal participation. Sen’s framework recognizes individual variations in converting resources into valuable ‘functionings’, and herein emphasizes the importance of aligning personal, social, and environmental conversion factors for individuals to fully navigate, participate in, and enjoy the benefits provided by smart cities. Adopting the capability approach and employing a cross-disciplinary analysis of the scientific literature, the primary objective is to broaden understanding of how to improve inclusivity and accessibility within smart-city societies, with a specific focus on marginalized community members facing first- and second-level digital divides. This paper underscores the importance of adopting a systemic perspective on climate-smart city navigation and stresses the importance of establishing a unified governing body responsible for monitoring, evaluating, and enhancing smart-city functionality. The paper concludes by summarizing some policy recommendations to boost social inclusion and address climate change in smart cities, such as creating capability-enhancing institutions, safeguarding redundancy in public-choice options, empowering citizens, and leveraging academic knowledge in smart-city policy formulation.
Determinants of Smallholder Farmers’ Adoption of Climate-Smart Agricultural Practices in Zomba, Eastern Malawi
Authors: Shani Feston Ken , Joshua Mirriam , Ngongondo Cosmo
Published: May 2024

Smallholder farmers in Malawi largely depend on rainfed agriculture, despite climate change posing serious threats to this form of agriculture. The adoption of climate-smart agricultural practices is pivotal in offsetting the effects of climate change on agriculture. Despite the great potential of climate-smart agricultural practices in combating the effects of climate change on agriculture, smallholder farmers’ adoption of it remains low. Reasons are varied, suggesting that the factors are largely contextual. This study, therefore, explored the determinants of smallholder farmers’ adoption of climate-smart agricultural practices in Zomba, within the framework of the diffusion of innovations. Using a convergent mixed research design, the study purposively selected key informants and randomly selected smallholder farmers. Questionnaires, interviews, and observation guides were used to collect data. Thematic analysis was used to analyse qualitative data, while descriptive analysis was used to analyse quantitative data. Results indicate that only 26% of smallholder farmers have adopted the promoted climate-smart agricultural practices. Compatibility and simplicity are the chief determinants of climate-smart agricultural practice adoption. The majority of smallholder farmers fall under the late majority. Evidence shows that labour and capital intensive climate-smart agricultural practices are less likely to be adopted by smallholder farmers. Implementing agencies, therefore, should first consult the local farmers on the ground to see practices that are already being followed and are suitable before bringing the new ones. This will ensure that the appropriate climate-smart agricultural practices are promoted.
Best Business Models for the Fast-Moving Consumer Goods Sector: Patterns for Innovation
Authors: Schroedel Sebastian
Published: May 2024

Mankind’s consumption exceeds our natural resources, so among other things, the development of new business models at the company level is needed. This paper aims to generate systematic business model innovations in the field of fast-moving consumer goods using business model patterns to foster sustainability. Based on a literature search, the most relevant patterns for the industry are identified as part of a multi-stage selection process that is based on the value generated by the patterns. Expert surveys are the central instrument for data collection. Here, the connection of the patterns to the strategy is central. The result is a list of relevant patterns, which includes patterns from completely external industries. This is the first evaluation of its kind, which shows that patterns focusing only on the circular economy are not enough to succeed and, therefore, break the scientific paradigm.
The Role of Natural Gas in the Socio-Technical Transition to a Carbon-Neutral Society and a Review of the European Union’s Framework
Authors: Kulušić Ivor , Jukić Lucija , Smajla Ivan , Karasalihović Sedlar Daria
Published: May 2024

The urgent need for a significant reduction in global greenhouse gas emissions indicates that the change in the world’s energy mix is inevitable. In the power production sector, this would be achieved through decarbonization with renewables, and within the transport sector, this would be achieved by switching to alternative fuels and electric vehicles. However, this transition is neither fast nor cheap, and it will be gradual. The main goal of this article is to propose a feasible change in the present energy mix and to compare natural gas with other fuels used in power production and transport. The strengths, weaknesses, opportunities, and threats of the current system (traditional fossil fuels) and the potential future system (higher share of natural gas) in energy generation and transport were identified, and the influence of recent global trends was analyzed. Natural gas seems to be a viable solution that can help in the transition to a zero-carbon-emissions society.
How Teachers Contribute to the Sustainability of the University Brand: Evidence from China
Authors: Jiang Shangfeng , Xiao Fujun
Published: May 2024

A brand strategy is a powerful guarantee for a university to enhance its reputation and sustainable development. An internal brand is the foundation of a university brand. Based on three variables—internal market orientation, teachers’ organizational identity, and teachers’ brand support behavior, a research model is constructed on a university’s internal brand formation mechanisms. To summarize how teachers support the university’s internal brand building, we analyzed the relationship between the three variables. This study used a three-stage sampling survey method to distribute 500 questionnaires and recovered 419 valid samples. The data from the valid questionnaires were statistically analyzed using two software programs—SPSS 24.0 and Mplus 7.2. This survey and analysis found that the three internal market orientation dimensions (internal information collection, internal communication, and feedback) are significantly positively correlated with teachers’ organizational identity and brand support behavior. Teachers’ organizational identity is not only significantly positively correlated with brand support behavior, but also mediates the relationship between the three dimensions of internal market orientation and brand support behavior. Universities should pay attention to the key roles of teachers in brand building and regard internal market orientation as an important tool for internal brand building.
Electrifying Freight: Modeling the Decision-Making Process for Battery Electric Truck Procurement
Authors: Özlü Levent , Çelebi Dilay
Published: May 2024

As the transportation industry seeks sustainable alternatives to internal combustion engine trucks (ICET), understanding the dynamics behind battery electric truck (BET) adoption becomes essential. This paper explores the critical factors influencing the procurement decision for BET in the freight transportation sector, employing a novel combination of fuzzy logic and the Delphi method to bridge qualitative assessments and quantitative analysis. Through a comprehensive literature review and expert consultations via the Delphi method, the research identifies the barriers to BET adoption, including initial investment costs, charging infrastructure, and legislative clarity. Fuzzy logic is then applied to model these factors’ impacts on the purchasing decision, translating subjective judgments into a structured analytical framework. This approach enables the assessment of BETs’ viability against ICETs, considering the total cost of ownership (TCO), travel time (TT) ratios, and perceived social benefits. While economic factors primarily drive the purchasing decision, the study reveals that social utility also plays a crucial role. This research contributes to the sustainable transportation literature by offering a detailed model of the decision-making process for BET procurement, providing valuable insights for industry professionals, policymakers, and academics committed to advancing environmentally friendly freight solutions.
Introducing the Occupational Health and Safety Potential Midpoint Impact Indicator in Social Life Cycle Assessment
Authors: Tsalidis Georgios Archimidis
Published: May 2024

Occupational health and safety (OSH) is crucial for sustainable development, recognized by corporations, the European Union, and Sustainable Development Goals. This study introduces a characterization model for OSH in the social life cycle assessment (S-LCA) to support the quantification of OHS along product supply chains and sustainable decision making. The characterization model aims to provide a practical approach for assessing OHS at the product level with actual working hours or recommends a secondary approach with monetary data, when working hours are unavailable, to calculate the Occupational Health and Safety Potential (OHSP). The developed model was tested in a theoretical case study on shirt production in Europe and globally. The case study shows that the European shirt value chain resulted in higher OHSP values than the global shirt values chain. In addition, the model shows which life cycle stages and organizations highly contributed to the OHSP results. In both approaches, the shirt production stage contributed highly. Differences in results emerged based on the calculation approach, underscoring the model’s versatility, because increasing the complexity of calculating the CFs with monetary values will affect the results based on sectorial monetary output. Additionally, the study mentions benefits to the operationalization of social impact assessment and limitations when the developed characterized model is employed. Last, this study aids in offering a tool for organizations to meet the demands of the new Corporate Sustainability Reporting Directive by quantifying and publicizing OHS data.