bluuebunny/crossref_metadata_2025 huggingface dataset:
Co-Composting of Green Waste and Dredged Sediments Can Reduce the Environmental Impact of the Potted Nursery without Affecting Plant Growth
Authors: Nicese Francesco Paolo , Azzini Lapo , Lucchetti Stefano , Macci Cristina , Vannucchi Francesca , Masciandaro Grazia , Pantani Ottorino Luca , Arfaioli Paola , Pathan Shamina Imran , Pietramellara Giacomo , Manzini Jacopo
Published: February 2024

The ornamental nursery industry is steadily growing in Europe, and a consequent increase in the demand for substrates related to container plant cultivations is expected in the coming years. Currently, substrates consist in part or entirely of peat, a non-renewable resource with concerns about its environmental impact due to extraction, transport, and use. Therefore, it is essential to focus on alternative materials, particularly waste by-products to be recycled as components of substrates to achieve more sustainable cultivations. In this study, substrates obtained by mixing co-composted dredged sediments (S) and green waste (GW) in different ratios (1:3; 1:1; 3:1) were tested for cultivation, and plant growth was compared with a control growing media (peat and pumice in a 1:1 ratio). The cultivation trial lasted for one year and was carried out on two potted ornamental evergreen shrubs (Photinia × fraseri and Viburnum tinus). The results showed that the plant growth parameters of both species, occurring in substrates with co-composted materials, were not significantly affected compared to the control, with the exception of below-ground biomass in V. tinus. Moreover, a Life Cycle Assessment (LCA) analysis was carried out to quantify the greenhouse gas emissions (GHG) deriving from the replacement of peat with the other proposed substrates. The functional unit was 10 L (Ø 24 cm) potted plants and the results were expressed in kg of CO2 equivalent (kg CO2eq). We demonstrated that the replacement of peat-based substrates with the alternative substrates was able to reduce the GHG emission by an average of 11.56 to 23.13%. Higher GHG emissions were related to the cultivation phase (0.9 kg CO2eq/plant), and while comparing substrates, we obtained an average percentage reduction of 28.1% to 59.6%. Thus, our results suggest that co-composted mixtures of dredged sediments with green waste could be used as sustainable techno-soils for pot nursery cultivation of ornamental species with reduced environmental impact.
Static Sound Event Localization and Detection Using Bipartite Matching Loss for Emergency Monitoring
Authors: Chun Chanjun , Park Hyung Jin , Seo Myoung Bae
Published: February 2024

In this paper, we propose a method for estimating the classes and directions of static audio objects using stereo microphones in a drone environment. Drones are being increasingly used across various fields, with the integration of sensors such as cameras and microphones, broadening their scope of application. Therefore, we suggest a method that attaches stereo microphones to drones for the detection and direction estimation of specific emergency monitoring. Specifically, the proposed neural network is configured to estimate fixed-size audio predictions and employs bipartite matching loss for comparison with actual audio objects. To train the proposed network structure, we built an audio dataset related to speech and drones in an outdoor environment. The proposed technique for identifying and localizing sound events, based on the bipartite matching loss we proposed, works better than those of the other teams in our group.
Pacific Decadal Oscillation Modulation on the Relationship between Moderate El Niño-Southern Oscillation and East Asian Winter Temperature
Authors: Ge Jingwen , Jia Xiaojing , Ma Hao
Published: February 2024

Based on observation data from 1958 to 2020, the current study explores the interdecadal modulation effects on moderate El Niño-Southern Oscillation (ENSO) episodes and East Asian (EA) winter surface air temperature (SAT) through the Pacific Decadal Oscillation (PDO). Strong and moderate ENSO episodes are classified by their amplitudes. The current work investigates the influence of moderate ENSO episodes on the EA winter SAT, especially moderate La Niña episodes, which show a close relationship with the EA winter SAT. To explore the PDO modulation effect on the influence of ENSO episodes, these ENSO episodes are further divided into two categories in terms of warm or cold PDO phases. The composite results show that in the warm phase of the PDO, the moderate La Niña signal is relatively strong and stable, with a profound impact on the EA winter SAT variability, whereas in the cold PDO phase, the relationship between the EA winter SAT and moderate La Niña episodes becomes ambiguous. Further studies show that the PDO modulates the moderate La Niña impacts on EA winter SAT primarily through varying the East Asian winter monsoon (EAWM). While moderate La Niña episodes take place in a warm PDO phase, positive and negative anomalies of sea level pressure (SLP) are observed in the Eurasian continent and mid–high-latitude North Pacific, respectively, favoring anomalous northerlies along the eastern coast of East Asia and therefore a colder-than-normal EA winter. In contrast, in a moderate La Niña winter during the cold PDO phase, the mid–high-latitude North Pacific is controlled by an anomalous high-pressure system with southerly anomalies along its western flank, and therefore, a weak warm pattern is observed for the EA winter SAT.
Influence of Obesity on Short-Term Surgical Outcomes in HFrEF Patients Undergoing CABG: A Retrospective Multicenter Study
Authors: Rustenbach Christian Jörg , Reichert Stefan , Salewski Christoph , Schano Julia , Berger Rafal , Nemeth Attila , Zdanyte Monika , Häberle Helene , Caldonazo Túlio , Saqer Ibrahim , Saha Shekhar , Schnackenburg Philipp , Djordjevic Ilija , Krasivskyi Ihor , Serna-Higuita Lina María , Doenst Torsten , Hagl Christian , Wahlers Thorsten , Schlensak Christian , Sandoval Boburg Rodrigo
Published: February 2024

Background: This retrospective multicenter study investigates the impact of obesity on short-term surgical outcomes in patients with heart failure and reduced ejection fraction (HFrEF) undergoing coronary artery bypass grafting (CABG). Given the rising global prevalence of obesity and its known cardiovascular implications, understanding its specific effects in high-risk groups like HFrEF patients is crucial. Methods: The study analyzed data from 574 patients undergoing CABG across four German university hospitals from 2017 to 2023. Patients were stratified into ‘normal weight’ (n = 163) and ‘obese’ (n = 158) categories based on BMI (WHO classification). Data on demographics, clinical measurements, health status, cardiac history, intraoperative management, postoperative outcomes, and laboratory insights were collected and analyzed using Chi-square, ANOVA, Kruskal–Wallis, and binary logistic regression. Results: Key findings are a significant higher mortality rate (6.96% vs. 3.68%, p = 0.049) and younger age in obese patients (mean age 65.84 vs. 69.15 years, p = 0.003). Gender distribution showed no significant difference. Clinical assessment scores like EuroScore II and STS Score indicated no differences. Paradoxically, the preoperative left ventricular ejection fraction (LVEF) was higher in the obese group (32.04% vs. 30.34%, p = 0.026). The prevalence of hypertension, COPD, hyperlipidemia, and other comorbidities did not significantly differ. Intraoperatively, obese patients required more packed red blood cells (p = 0.026), indicating a greater need for transfusion. Postoperatively, the obese group experienced longer hospital stays (median 14 vs. 13 days, p = 0.041) and higher ventilation times (median 16 vs. 13 h, p = 0.049). The incidence of acute kidney injury (AKI) (17.72% vs. 9.20%, p = 0.048) and delirium (p = 0.016) was significantly higher, while, for diabetes prevalence, there was an indicating a trend towards significance (p = 0.051) in the obesity group, while other complications like sepsis, and the need for ECLS were similar across groups. Conclusions: The study reveals that obesity significantly worsens short-term outcomes in HFrEF patients undergoing CABG, increasing risks like mortality, kidney insufficiency, and postoperative delirium. These findings highlight the urgent need for personalized care, from surgical planning to postoperative strategies, to improve outcomes for this high-risk group, urging further tailored research.
Understanding Neuropathy Features in the Context of Nitrous Oxide Abuse: A Combined Electrophysiological and Metabolic Approach
Authors: Grzych Guillaume , Scuccimarra Marie , Plasse Laura , Gernez Emeline , Cassim Francois , Touze Benjamin , Girot Marie , Bossaert Cécile , Tard Céline
Published: February 2024

Background: The incidence of neurological complications associated with nitrous oxide (N2O) abuse, including N2O-induced myelopathy and neuropathy, has risen in the past decade. N2O-induced neuropathy often presents as a subacute axonal pathology; however, demyelinating patterns mimicking Guillain–Barré syndrome have also been observed. This study explores the metabolic pathophysiology of N2O-induced neuropathy, focusing on the alteration in metabolism to provide a deeper understanding of the biochemical pathways influencing the diverse electrophysiological patterns observed. Methods: We conducted a combined metabolic and electrophysiological exploration of 35 patients who underwent electromyographic exams at our referral center over a three-year period for sensorimotor symptoms linked to recreational N2O use. We collected demographic, clinical, radiological, electrophysiological, and biological data. Patients were categorized into axonal or demyelinating groups based on their electrophysiological patterns, and metabolic parameters were compared. Results: Our cohort predominantly exhibited a length-dependent sensorimotor axonal symmetrical neuropathy affecting the lower limbs. Among the patients, 40% met the demyelinating criteria, with four patients exhibiting conduction blocks. The demyelinating group had a significantly higher peripheral neuropathy disability (PND) score at diagnosis. Elevated homocysteine and methylmalonic acid (MMA) levels were noted in all patients, but these were lower in the demyelinating group. Conclusions: This study highlights the diverse electrophysiological manifestations of N2O-induced neuropathy and underscores the potential role of metabolic parameters as biomarkers to understand its pathophysiology. Lower hyperhomocysteinemia and MMA levels were observed in demyelinating patterns. In this study, we did not observe further improvement, but it is well-known that demyelinating features have a better prognosis related to the further remyelination. These findings contribute to a better understanding of N2O-related neuropathic damage and could guide future therapeutic interventions based on biochemical–neurophysiological stratifications.
Exhaled Breath Analysis Detects the Clearance of Staphylococcus aureus from the Airways of Children with Cystic Fibrosis
Authors: Seidl Elias , Licht Johann-Christoph , de Vries Rianne , Ratjen Felix , Grasemann Hartmut
Published: February 2024

Background: Electronic nose (eNose) technology can be used to characterize volatile organic compound (VOC) mixes in breath. While previous reports have shown that eNose can detect lung infections with pathogens such as Staphylococcus aureus (SA) in people with cystic fibrosis (CF), the clinical utility of eNose for longitudinally monitoring SA infection status is unknown. Methods: In this longitudinal study, a cloud-connected eNose, the SpiroNose, was used for the breath profile analysis of children with CF at two stable visits and compared based on changes in SA infection status between visits. Data analysis involved advanced sensor signal processing, ambient correction, and statistics based on the comparison of breath profiles between baseline and follow-up visits. Results: Seventy-two children with CF, with a mean (IQR) age of 13.8 (9.8–16.4) years, were studied. In those with SA-positive airway cultures at baseline but SA-negative cultures at follow-up (n = 19), significant signal differences were detected between Baseline and Follow-up at three distinct eNose sensors, i.e., S4 (p = 0.047), S6 (p = 0.014), and S7 (p = 0.014). Sensor signal changes with the clearance of SA from airways were unrelated to antibiotic treatment. No changes in sensor signals were seen in patients with unchanged infection status between visits. Conclusions: Our results demonstrate the potential applicability of the eNose as a non-invasive clinical tool to longitudinally monitor pulmonary SA infection status in children with CF.
Unraveling the Dynamics of SARS-CoV-2 Mutations: Insights from Surface Plasmon Resonance Biosensor Kinetics
Authors: Nurrohman Devi Taufiq , Chiu Nan-Fu
Published: February 2024

Surface Plasmon Resonance (SPR) technology is known to be a powerful tool for studying biomolecular interactions because it offers real-time and label-free multiparameter analysis with high sensitivity. This article summarizes the results that have been obtained from the use of SPR technology in studying the dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mutations. This paper will begin by introducing the working principle of SPR and the kinetic parameters of the sensorgram, which include the association rate constant (ka), dissociation rate constant (kd), equilibrium association constant (KA), and equilibrium dissociation constant (KD). At the end of the paper, we will summarize the kinetic data on the interaction between angiotensin-converting enzyme 2 (ACE2) and SARS-CoV-2 obtained from the results of SPR signal analysis. ACE2 is a material that mediates virus entry. Therefore, understanding the kinetic changes between ACE2 and SARS-CoV-2 caused by the mutation will provide beneficial information for drug discovery, vaccine development, and other therapeutic purposes.
Seismic Response of MSE Walls with Various Reinforcement Configurations: Effect of Input Ground Motion Frequency
Authors: Yildirim Irem Zeynep , Turkel Berk , Guler Erol
Published: February 2024

Mechanically stabilized earth (MSE) walls perform well under earthquake loads, and hence they are preferred in earthquake-prone regions. The multifaceted load transfer between the components of the MSE wall under seismic loads can be captured using numerical analysis. This study presents the results of a series of numerical analyses performed to investigate the effects of the frequency of the input ground motion on the seismic response of MSE walls. MSE wall design configurations were prepared using various reinforcement designs (length, vertical spacing, and stiffness). A frequent wall height of 8 m was selected for the analysis. Using two-dimensional finite element analysis, each MSE model was excited with seven (7) different input ground motion accelerograms with equal Arias Intensity, but with different frequencies ranging between 1 Hz and 8 Hz. The results of the numerical analyses indicated rotation at the top of the MSE wall in seismic conditions. The frequency versus acceleration plot for a point close to the top of the MSE wall indicated peaks for the excitations with frequencies f = 1.5 Hz and f = 4 Hz, which are close to the estimated natural frequency of the overall model (including the foundation soil) and the MSE wall, respectively. The highest normalized acceleration amplification factor solely within the MSE wall was recorded as 1.86 for the excitation with a frequency equivalent to its fundamental frequency (f ≅ 4 Hz). In this study, the 8 m high MSE wall models placed on a firm clayey foundation soil with the reinforcement parameters with length over height ratio in 0.5–1 range, axial stiffness in 600–1200 kPa range, and reinforcement vertical spacing in 0.4–0.6 m range performed satisfactorily under moderate seismic loads.
The Energy Saving Potential in an Office Building Using Louvers in Mid-Latitude Climate Conditions
Authors: Kieu Ngoc-Minh , Ullah Irfan , Park Jongbin , Bae Hojune , Cho Meeryoung , Lee Keonwoo , Shin Seoyong
Published: February 2024

Daylighting has emerged as a prominent strategy for elevating indoor environments by harmonizing visual comfort and energy efficiency. This paper introduces a louver system crafted for energy simulations, specifically tailored to address lighting and cooling requirements in office spaces. Louvers, acknowledged for their exceptional efficiency in providing daylight, are integrated as a pivotal energy-saving technique. Adopting a quantitative research approach facilitated by building information simulation tools, DIALUX evo and Rhino were employed for modeling and simulating the building’s daylighting performances. The simulation outcomes reveal substantial energy savings, particularly in the realms of lighting and cooling. Notably, a 50% louver opening in office spaces results in an impressive 27.0% reduction in energy consumption. The study explores various louver configurations, providing insights into both lighting and cooling energy savings. The overall system performance excels in sustaining consistent daylight, significantly contributing to enhanced energy efficiency.
Examining Recognition of Occupants’ Cooking Activity Based on Sound Data Using Deep Learning Models
Authors: Kim Yuhwan , Choi Chang-Ho , Park Chang-Young , Park Seonghyun
Published: February 2024

In today’s society, where people spend over 90% of their time indoors, indoor air quality (IAQ) is crucial for sustaining human life. However, as various indoor activities such as cooking generate diverse types of pollutants in indoor spaces, IAQ has emerged as a serious issue. Previous studies have employed methods such as CO2 sensors, smart floor systems, and video-based pattern recognition to distinguish occupants’ activities; however, each method has its limitations. This study delves into the classification of occupants’ cooking activities using sound recognition technology. Four deep learning-based sound recognition models capable of recognizing and classifying sounds generated during cooking were presented and analyzed. Experiments were carried out using sound data collected from real kitchen environments and online data-sharing websites. Additionally, changes in performance according to the amount of collected data were observed. Among the developed models, the most efficient is found to be the convolutional neural network, which is relatively unaffected by fluctuations in the amount of sound data and consistently delivers excellent performance. In contrast, other models exhibited a tendency for reduced performance as the amount of sound data decreased. Consequently, the results of this study offer insights into the classification of cooking activities based on sound data and underscore the research potential for sound-based occupant behavior recognition classification models.
Cause Identification and Coupling Relationship Analysis of Urban Problems: A Case Study of Poor Parking Convenience
Authors: Chen Wei , Tian Yishuai , Wang Yanhua , Yan Hang , Wang Yong
Published: February 2024

As the size and complexity of cities around the world increase, various types of urban problems are emerging. These problems are caused by multiple factors that have complex relationships with each other. Addressing a single cause blindly may result in additional problems, so it is crucial to understand how urban problems arise and how their causes interact. The study utilizes the Grey Decision-Making Trial and Evaluation Laboratory (Grey-DEMATEL), in conjunction with the Grey Interpretative Structural Model (Grey-ISM), to construct a hierarchical structure that examines the relationships between the causes of urban problems, thereby revealing the root causes and developmental mechanisms of urban problems. The Grey Matrix Cross-Reference Multiplication Applied to Classification (Grey-MICMAC) method was employed to clarify the influence and position of each cause. The Poor Parking Convenience (PPC) in Wuhan, China, is taken as a case study. The findings reveal the following: (1) the proposed method effectively identifies the key causes and processes of urban problems; (2) the insufficient management of roadside parking areas and impractical allocation of temporary parking spaces are the two main causes of PPC in Wuhan City. This method would be helpful to urban managers in discovering the causes of urban problems and formulating corresponding policies, to ultimately contribute towards healthy urban and sustainable development.
Dynamism of House Plans with Reference to Family Conditions of Lower-Middle-Class Families in Suburban Western Coast of Sri Lanka
Authors: Hirudini Seekkuarachchige Mihiri , Yamada Kyota
Published: February 2024

This paper analyzes the dynamisms of house plans, family stages, and family backgrounds, and their interrelated dynamism, of lower-middle-class families in suburban residential areas in Sri Lanka. Through a literature review of Sri Lankan historical house plans and family units, parameters to categorize house plans, family stages, and background types were derived. Using measured drawings, interviews, and observations of the case study families, data regarding house plans, construction steps, family stages, family backgrounds, and their transition steps were collected, and a quantitative analysis was conducted. The research included identifying lower-middle-class house plan types and transition types, family stages, parents’ employment types, and children’s education types. The results show that the transition of family stages and family backgrounds has a relationship with the transition of house plan types, resulting in social mobility and different generations, in different social classes, living in the same house. This study proposes two new house plan types for two construction steps in two family stages, giving a mixed character of lower-middle-class and other social class house plans, providing flexibility to expand and adjustability to cater to residents in different generations and social classes.
Hydrogenation of Styrene-Butadiene Rubber Catalyzed by Tris(triisopropylphosphine)hydridorhodium(I)
Authors: Liu Minghui , Li Wenxin , Zheng Chengzhuo , Yuan Fei , Wang Hui , Wang Chengdong , Pan Qinmin , Rempel Garry L.
Published: February 2024

The hydrogenation of C=C bonds in styrene−butadiene rubber (SBR), catalyzed by RhH(P(i-Pr)3)3, was experimentally investigated. Tris(triisopropylphosphine)hydridorhodium(I), RhH(P(i-Pr)3)3 (i-Pr=CH(CH3)2) was prepared by using rhodium chloride (RhCl3), tetrahydrofuran (THF), triisopropylphosphine (P(i-Pr)3) and a sodium mercury amalgam. The effect of catalyst/polymer ratio, reaction temperature, and hydrogen pressure on the reactivity of the catalytic system has been studied. The optimal experimental condition was obtained. The hydrogenated styrene-butadiene rubber (HSBR) was analyzed by FT-IR and 1H-NMR. In the absence of any additives, the conversion of C=C bonds in SBR could easily reach 95% in a short period of time, and no obvious cross-linking was observed. The dynamic properties of SBR did not change after the hydrogenation of the unsaturated C=C bonds. A preliminary reaction mechanism was also proposed. This study provides a new route, not only for the chemical modification of SBR by using a rhodium complex but also for the hydrogenation of other unsaturated polymers, such as diene-based rubbers.
Laparoscopic versus Open Emergency Surgery for Right Colon Cancers
Authors: Hussain Mohammad Iqbal , Piozzi Guglielmo Niccolò , Sakib Najmu , Duhoky Rauand , Carannante Filippo , Khan Jim S.
Published: February 2024

Background: A laparoscopic approach to right colectomies for emergency right colon cancers is under investigation. This study compares perioperative and oncological long-term outcomes of right colon cancers undergoing laparoscopic or open emergency resections and identifies risk factors for survival. Methods: Patients were identified from a prospectively maintained institutional database between 2009 and 2019. Demographics, clinicopathological features, recurrence, and survival were investigated. Cox regression analysis was performed for risk factor analysis. Results: A total of 202 right colectomies (114 open and 88 laparoscopic) were included. ASA III–IV was higher in the open group. The conversion rate was 14.8%. Laparoscopic surgery was significantly longer (156 vs. 203 min, p < 0.001); pTNM staging did not differ. Laparoscopy was associated with higher lymph node yield, and showed better resection clearance (R0, 78.9 vs. 87.5%, p = 0.049) and shorter postoperative stay (12.5 vs. 8.0 days, p < 0.001). Complication rates and grade were similar. The median length of follow-up was significantly higher in the laparoscopic group (20.5 vs. 33.5 months, p < 0.001). Recurrences were similar (34.2 vs. 36.4%). Open surgery had lower five-year overall survival (OS, 27.1 vs. 51.7%, p = 0.001). Five-year disease-free survival was similar (DFS, 55.8 vs. 56.5%). Surgical approach, pN, pM, retrieved LNs, R stage, and complication severity were risk factors for OS upon multivariate analysis. Pathological N stage and R stage were risk factors for DFS upon multivariate analysis. Conclusions: A laparoscopic approach to right colon cancers in an emergency setting is safe in terms of perioperative and long-term oncological outcomes. Randomized control trials are required to further investigate these results.
Segregated Dynamical Networks for Biological Motion Perception in the Mu and Beta Range Underlie Social Deficits in Autism
Authors: Siemann Julia , Kroeger Anne , Bender Stephan , Muthuraman Muthuraman , Siniatchkin Michael
Published: February 2024

Objective: Biological motion perception (BMP) correlating with a mirror neuron system (MNS) is attenuated in underage individuals with autism spectrum disorder (ASD). While BMP in typically-developing controls (TDCs) encompasses interconnected MNS structures, ASD data hint at segregated form and motion processing. This coincides with less fewer long-range connections in ASD than TDC. Using BMP and electroencephalography (EEG) in ASD, we characterized directionality and coherence (mu and beta frequencies). Deficient BMP may stem from desynchronization thereof in MNS and may predict social-communicative deficits in ASD. Clinical considerations thus profit from brain–behavior associations. Methods: Point-like walkers elicited BMP using 15 white dots (walker vs. scramble in 21 ASD (mean: 11.3 ± 2.3 years) vs. 23 TDC (mean: 11.9 ± 2.5 years). Dynamic Imaging of Coherent Sources (DICS) characterized the underlying EEG time-frequency causality through time-resolved Partial Directed Coherence (tPDC). Support Vector Machine (SVM) classification validated the group effects (ASD vs. TDC). Results: TDC showed MNS sources and long-distance paths (both feedback and bidirectional); ASD demonstrated distinct from and motion sources, predominantly local feedforward connectivity, and weaker coherence. Brain–behavior correlations point towards dysfunctional networks. SVM successfully classified ASD regarding EEG and performance. Conclusion: ASD participants showed segregated local networks for BMP potentially underlying thwarted complex social interactions. Alternative explanations include selective attention and global–local processing deficits. Significance: This is the first study applying source-based connectivity to reveal segregated BMP networks in ASD regarding structure, cognition, frequencies, and temporal dynamics that may explain socio-communicative aberrancies.
Casting Light on Early Heart Failure: Unveiling the Prognostic Potential of the E/(e′ × s′) Index
Authors: Ionac Ioana , Lazar Mihai Andrei , Hoinoiu Teodora , Crisan Simina , Pescariu Silvius Alexandru , Dima Ciprian Nicusor , Luca Constantin Tudor , Mornos Cristian
Published: February 2024

It has been shown that patients with NYHA class I and II have a high morbidity and mortality burden. We investigated the value of a new tissue Doppler index, E/(e′ × s′), to predict cardiac events in the long-term follow-up of patients at an early stage of heart failure (HF). Sequential echocardiography was conducted on a consecutive cohort of 212 hospitalized HF patients, pre-discharged and with three-month follow-up. The primary end point consisted of cardiac death or readmission due to HF worsening. During follow-up, cardiac events occurred in 99 patients (46.7%). The first cardiac event was represented by cardiac death in 8 patients (3.8%) and readmission for HF in 91 patients (42.9%). A Kaplan–Meier analysis did not show a significantly different event-free survival rate between patients with NYHA class I and II. The composite end point was significantly higher in patients with an E/(e′ × s′) >1.6. The E/(e′ × s′) at discharge was the best independent predictor of cardiac events. Those exhibiting an E/(e′ × s′) > 1.6 at discharge, with a subsequent deterioration after three months, displayed the poorest prognosis concerning cardiac events, HF-related rehospitalization, and cardiac mortality (all p < 0.05). In early-stage HF patients, an E/(e′ × s′) > 1.6 emerged as a robust predictor of clinical outcomes, especially when coupled with a deterioration in condition.
EUS-Guided Gallbladder Drainage Using a Lumen-Apposing Metal Stent for Acute Cholecystitis: Results of a Nationwide Study with Long-Term Follow-Up
Authors: Binda Cecilia , Anderloni Andrea , Forti Edoardo , Fusaroli Pietro , Macchiarelli Raffaele , Manno Mauro , Fugazza Alessandro , Redaelli Alessandro , Aragona Giovanni , Lovera Mauro , Togliani Thomas , Armellini Elia , Amato Arnaldo , Brancaccio Mario Luciano , Badas Roberta , Leone Nicola , de Nucci Germana , Mangiavillano Benedetto , Sbrancia Monica , Pollino Valeria , Lisotti Andrea , Maida Marcello , Sinagra Emanuele , Ventimiglia Marco , Repici Alessandro , Fabbri Carlo , Tarantino Ilaria
Published: February 2024

Background: Although endoscopic ultrasound-guided gallbladder drainage (EUS-GBD) using lumen-apposing metal stents (LAMS) has become one of the treatments of choice for acute cholecystitis (AC) in fragile patients, scant data are available on real-life settings and long-term outcomes. Methods: We performed a multicenter retrospective study including EUS-guided GBD using LAMS for AC in 19 Italian centers from June 2014 to July 2020. The primary outcomes were technical and clinical success, and the secondary outcomes were the rate of adverse events (AE) and long-term follow-up. Results: In total, 116 patients (48.3% female) were included, with a mean age of 82.7 ± 11 years. LAMS were placed, transgastric in 44.8% of cases, transduodenal in 53.3% and transjejunal in 1.7%, in patients with altered anatomy. Technical success was achieved in 94% and clinical success in 87.1% of cases. The mean follow-up was 309 days. AEs occurred in 12/116 pts (10.3%); 8/12 were intraprocedural, while 1 was classified as early (<15 days) and 3 as delayed (>15 days). According to the ASGE lexicon, two (16.7%) were mild, three (25%) were moderate, and seven (58.3%) were severe. No fatal AEs occurred. In subgroup analysis of 40 patients with a follow-up longer than one year, no recurrence of AC was observed. Conclusions: EUS-GBD had high technical and clinical success rates, despite the non-negligible rate of AEs, thus representing an effective treatment option for fragile patients.
Racioethnic Disparities in Endometrial Cancer Outcomes
Authors: Illah Ojone , Adeeko Deborah , Olaitan Adeola , Gentry-Maharaj Aleksandra
Published: February 2024

Black women are twice as likely to die from endometrial cancer (EC) compared with white women. This represents one of the worst racioethnic disparities amongst all cancers globally. Compared with white women, black women are more likely to be diagnosed with advanced EC, have more barriers to accessing care and experience increased delays in obtaining an EC diagnosis and commencing treatment. Histological and molecular differences place black women at higher risk of being diagnosed with more aggressive EC subtypes that carry less favourable outcomes. Furthermore, EC diagnostic pathways are less reliable in black women, and black women are less likely to receive evidence-based treatment for EC. This racioethnic disparity in EC outcomes exists both in the UK and US, despite differences in healthcare systems. This review methodically describes the key factors along the patient journey that contribute to the disparity in black women and proposes multifaceted approaches to lessen these gaps.
Possibility of Using Surgical Pleth Index in Predicting Postoperative Pain in Patients after Vitrectomy Performed under General Anesthesia
Authors: Stasiowski Michał Jan , Lyssek-Boroń Anita , Kawka-Osuch Magdalena , Niewiadomska Ewa , Grabarek Beniamin Oskar
Published: February 2024

Adequacy of anesthesia concept (AoA) in the guidance of general anesthesia (GA) is based on entropy, and it also reflects the actual depth of anesthesia and the surgical pleth index (SPI). Therefore, this study aimed to analyze the potential existence of relationships between SPI values at certain stages of the AoA-guided GA for vitreoretinal surgeries (VRS) and the incidence of intolerable postoperative pain perception (IPPP). A total of 175 patients were each assigned to one of five groups. In the first, the VRS procedure was performed under GA without premedication; in the second group, patients received metamizole before GA; in the third, patients received acetaminophen before GA; in the fourth group, patients received Alcaine before GA; and, in the peribulbar block group, the patients received a peribulbar block with a mix of the solutions of lignocaine and bupivacaine. Between the patients declaring mild and statistically significant differences in the IPPP in terms of SPI values before induction (52.3 ± 18.8 vs. 63.9 ± 18.1, p < 0.05) and after emergence from GA (51.1 ± 13 vs. 68.1 ± 8.8; p < 0.001), it was observed that the patients postoperatively correlated with heart rate variations despite the group allocation. The current study proves the feasibility that preoperative SPI values help with predicting IPPP immediately after VRS under AoA guidance and discrimination (between mild diagnoses and IPPP when based on postoperative SPI values) as they correlate with heart rate variations. Specifically, this applies when the countermeasures of IPPP and hemodynamic fluctuations are understood to be of importance in reducing unwelcome adverse events.
Assessing the Relationship between Fuel and Charcoal Prices in Uganda
Authors: Alinaitwe Grace , Bergland Olvar
Published: February 2024

Charcoal is a dominant energy source in urban areas of Uganda, and increases in retail prices in the past have led to social unrest. This paper assesses the relationship between charcoal and fuel prices to determine whether fuel prices influence the retail price of charcoal. We specify a transportation cost model for charcoal supply and derive the reduced-form equilibrium price function. We estimate an error-correction model for the equilibrium price with monthly data from July 2010 to January 2021 to determine whether there are long-term and/or short-term relationships between the retail and supply prices of charcoal and the prices of diesel and other fuel types. As the price data are integrated of orders zero and one, the autoregressive distributed lag (ARDL) bounds test is used. The results show that there is a long-term relationship (cointegration) between the retail price of charcoal and the supply price of charcoal and the price of kerosene, which is a substitute energy source for the end users. The prices of firewood and diesel are not statistically significant in the model. The long-term equation includes a positive trend, indicating that the retail price of charcoal is increasing more over time than implied by the supply price of charcoal and the price of kerosene. The increasing demand from a growing urban population and the reduced supply from deforestation are trends that will increase the equilibrium price of charcoal, as observed.
Development of Trade in Recyclable Raw Materials: Transition to a Circular Economy
Authors: Lingaitiene Olga , Burinskiene Aurelija
Published: February 2024

Mechanisms for sectoral change in the economy are being used to move towards a circular economy. Trade in recycled raw materials could contribute to circular economy development and is treated as the main circular indicator used to monitor progress toward a circular economy. However, the research area surrounding the transition to a circular economy lacks adequate tools, as until now, the circular economy has been investigated from an evolutionary and ecological perspective. In the article, the authors conduct a study identifying important variables for trade in recycled raw materials as the main indicator of CE development. The authors propose a two-step methodology for researching the links between main trade in recyclables and circular economy indicators. The authors found correlations between trade in recyclables and private investments in circular economy sectors. The authors used panel data analysis, compiled a regression matrix, and formed a dynamic regression model. The statistical tests showed that the formed regression model has no significant autocorrelation and heteroscedasticity. The framework can be applied in practice to serve policymakers and the academic community interested in analyzing the move toward a circular economy and its main circular indicators.
Lessons from Two Decades of Research about Successful School Leadership in England: A Humanistic Approach
Authors: Mincu Monica , Colman Alyson , Day Christopher , Gu Qing
Published: February 2024

This paper reviews the research on successful school principalship carried out in England over the last 20 years. Drawing on evidence synthesized from the International Successful School Principalship Project (ISSPP) and related English school leadership research conducted by ISSPP scholars, this review aims to answer a conceptual research question: How do the principalship’s moral purposes and contextual understanding shape the time-sensitive, informed adoption of combinations and accumulations of strategies that lead to sustained school success? This paper identifies five research insights derived from case studies in England and elaborates on the complex, values-led layered web of interactions between the school principal and key stakeholders within and outside the school in the context of frequent social changes and policy interventions in England. Whilst the pace has been greater and more intense than in many other countries, the direction has been, and remains, similar. The body of scholarship here reviewed engages with national policies as filtered and then enacted by successful principals. While ‘effective’ principals lead to students’ success as measured by performance on national tests and examinations, our focus is upon an empirically founded definition of ‘successful’ school leadership that is located in complexity theory and encompasses the enactment of the core purposes of education that include but go beyond the functional. In doing so, it avoids ‘what to do’ formulae and the limitations of certain theoretical ‘leadership’ models, finding that successful school leaders’ work embodies a broader humanistic view of student learning and achievement, which implies the preordinance of the personal over the functional. Taken together, these research insights contribute to the ISSPP’s continued effort to refine and advance the knowledge base of successful school leadership within and across different countries.
Enhancing Human Action Recognition with 3D Skeleton Data: A Comprehensive Study of Deep Learning and Data Augmentation
Authors: Xin Chu , Kim Seokhwan , Cho Yongjoo , Park Kyoung Shin
Published: February 2024

Human Action Recognition (HAR) is an important field that identifies human behavior through sensor data. Three-dimensional human skeleton data extracted from the Kinect depth sensor have emerged as a powerful alternative to mitigate the effects of lighting and occlusion of traditional 2D RGB or grayscale image-based HAR. Data augmentation is a key technique to enhance model generalization and robustness in deep learning while suppressing overfitting to training data. In this paper, we conduct a comprehensive study of various data augmentation techniques specific to skeletal data, which aim to improve the accuracy of deep learning models. These augmentation methods include spatial augmentation, which generates augmented samples from the original 3D skeleton sequence, and temporal augmentation, which is designed to capture subtle temporal changes in motion. The evaluation covers two publicly available datasets and a proprietary dataset and employs three neural network models. The results highlight the impact of temporal augmentation on model performance on the skeleton datasets, while exhibiting the nuanced impact of spatial augmentation. The findings underscore the importance of tailoring augmentation strategies to specific dataset characteristics and actions, providing novel perspectives for model selection in skeleton-based human action recognition tasks.
TOR-GAN: A Transformer-Based OFDM Signals Reconstruction GAN
Authors: Li Yuhai , Fan Youchen , Hou Shunhu , Xu Zhaojing , Wang Hongyan , Fang Shengliang
Published: February 2024

Reconstruction techniques for communication signals represent a significant research focus within the field of signal processing. To overcome the difficulty and low precision in reconstructing OFDM signals, we introduce a signal reconstruction technique called TOR-GAN (Transformer-Based OFDM Signal Reconstruction GAN). Reconstructing IQ sequences using a CNN and RNN presents challenges in capturing the correlations between two signals. To tackle this issue, the VIT (vision in transformer) approach was introduced into the discriminator network. The IQ signal is treated as a single-channel, two-dimensional image, divided into blocks of 2 × 2 pixels, with absolute position embedding added. The generator network maps the input noise to the same dimension as the IQ signal dimension × embedding vector dimension and adds two identical position embedding data points to the network learning. In the transformer network, prob sparse attention is employed as a replacement for multi-head attention to tackle the issue of high computational complexity. Finally, combined with the MLP structure, the transformer-based generator and discriminator are designed. The signal similarity evaluation index was constructed, and experiments showed that the reconstructed signal under QPSK and BPSK modulation had good reconstruction quality in the time-domain waveform, constellation diagram, and spectrogram at a high SNR. Compared with other reconstruction algorithms, the proposed algorithm improved the quality of the reconstructed signal while reducing the complexity of the algorithm.
Advancements in Industrial RTLSs: A Technical Review of UWB Localization Devices Emphasizing Antennas for Enhanced Accuracy and Range
Authors: Benouakta Amina , Ferrero Fabien , Lizzi Leonardo , Staraj Robert
Published: February 2024

Over the past few years, the Internet of Things paradigm has brought renewed significant interest to indoor positioning, tracking, and localization topics, principally since real-time locating technology allows a reference node to infer the position of tagged target nodes, creating the opportunity for millions of object-to-object awareness applications. This study first presents an overview of positioning localization techniques and discusses the use of ultra-wide bandwidth technology for complex environment monitoring, followed by consideration of the error sources that are present in line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios between a reader and a tag. A technical review of the available industrial and commercial UWB real-time locating transceivers (RTLSs) is presented, with a focus on the frontend antennas that are integrated in these systems to establish the needed wireless communication for positioning. Then, the different characteristics of these antennas are summarized and discussed, along with their impact on the localization performance in terms of the reading range, position information accuracy, object-orientation-independent localization, and multipath mitigation. Solutions are suggested to achieve antenna-based improvements to the performance of RTLSs.
A Convex Combination–Variable-Step-Size Least Mean p-Norm Algorithm
Authors: Zhu Boyu , Wang Biao , Cai Banggui , Zhu Yunan
Published: February 2024

Underwater acoustic channels often have to face the interference of impulsive noise, which is usually modeled by α-stable distribution in simulation experiments. To solve the problem of underwater acoustic channel estimation under impulsive noise, this paper proposes a convex combination–variable-step-size least mean p-norm algorithm. The algorithm incorporates a convex combination into the variable-step-size least mean p-norm algorithm and uses the convex combination of different convergence domains provided by changing the parameters of the Gaussian function to further improve the effect after convergence. The simulation results of channel estimation show that the convex combination–variable-step-size least mean p-norm algorithm provides a more stable, robust, and universal solution than the variable-step-size least mean p-norm algorithm.
Optimal Capacity Configuration of Energy Storage in PV Plants Considering Multi-Stakeholders
Authors: Sun Fan , Wang Weiqing , Nan Dongliang
Published: February 2024

With the integration of large-scale renewable energy generation, some new problems and challenges are brought for the operation and planning of power systems with the aim of mitigating the adverse effects of integrating photovoltaic plants into the grid and safeguarding the interests of diverse stakeholders. In this paper, a methodology for allotting capacity is introduced, which takes into account the active involvement of multiple stakeholders in the energy storage system. The objective model for maximizing the financial proceeds of the PV plant, the system for the storage of energy, and a power grid company is studied. Then, in order to maximize the benefit of three stakeholders, a modified particle swarm optimization algorithm is devised, employing the prevailing typical allocation strategy. Finally, a case study is provided based on the modified IEEE 14-bus and the actual power grid from South Xinjiang, China. The simulation results and findings of the case study conclusively illustrate that the proposed methodology adeptly ensures the maximization of interests for the triad of stakeholders.
Induction Motor Improved Vector Control Using Predictive and Model-Free Algorithms Together with Homotopy-Based Feedback Linearization
Authors: Costin Madalin , Lazar Corneliu
Published: February 2024

Vector control of an induction machine (IM) is typically performed by using cascade control structures with conventional linear proportional–integral (PI) controllers, the inner loop being designed for current control and the outer loop for rotor flux and speed control. In this paper, starting with the dq model of the IM, advanced control algorithms are proposed for the two control loops of the cascade structure. For the current inner loop, after the decoupling of the two dq currents, predictive control algorithms are employed to independently control the currents, considering the constraints imposed by the electrical signal physics limitations. Since the outer loop has a nonlinear affine multivariable plant model, a homotopy-based variant of feedback linearization is used to obtain a nonsingular decoupling matrix of the feedback transformation even when the rotor flux is zero at the start-up of the motor. During the continuous variation in the homotopy parameter, the plant model is variable and, for this reason, model-free algorithms are used to control the flux and speed of the IM due to their capabilities to manage complex dynamics from data without requiring knowledge of the plant model. The performances of the proposed cascade control strategy with advanced algorithms in the two loops were tested by simulation and compared with those obtained with conventional PI controllers, resulting in better dynamic behavior for predictive and model-free control.