bluuebunny/crossref_metadata_2025 huggingface dataset:
Epidemiological analysis and risk prediction of scrub typhus from 2006 to 2021 in Sichuan, China
Authors: Zhang Yao , Zhang Mengyuan , Qin Yao , Zhang Lun , Kang Dianju , Wei Rongjie , Yang Changhong
Published: May 2023

Background

In the past decade, the number of reported cases of scrub typhus (ST) has increased dramatically in Sichuan Province. We aimed to overview the epidemiological characteristics of ST, identify the variables contributing to the spatial distribution, and estimate the risk areas of ST occurrence.

Methods

Daily ST cases reported at the county level from 2006 to 2021 and datasets on environmental and socioeconomic variables were obtained. Joinpoint regression model was utilized to examine the incidence trends and to calculate the annual percentage change. Global spatial autocorrelation analysis was employed to explore the spatial temporal patterns. Then BRT model was employed to identify variables that make sense and predict the risk areas of ST occurrence.

Result

It has been reported that there were 6,338 ST cases in Sichuan Province from 2006 to 2021, and the incidence rates continued to rise. Most cases were distributed between June and October each year, peaking in August. During the study period, the cases showed spatial clustering at the county level, mainly in the Panxi area, and then slowly spread to the northwest and northeast. Shrubs, precipitation, farmland and maximum temperature were the primary variables that affected the spatial distribution of this disease. It was estimated that the areas including Liangshan, Panzhihua, Bazhong, and Guangyuan were most at risk of transmission. and there were approximately 32.315 million people living in the areas with potential risk of infection throughout Sichuan.

Conclusion

Many counties in Sichuan Province were estimated to be susceptible to ST. Our found in this data-driven study could be used to guide the implementation of targeted prevention and control measures in high-risk areas.
The Use of Intraoperative Cell Salvage in Two-Stage Revision of Septic Hip Arthroplasties: A Double-Center Retrospective Study
Authors: Krüger Lara , Strahl André , Koepke Leon-Gordian , Fink Bernd , Beil Frank Timo , Hubert Jan
Published: May 2023

(1) Background: intraoperative cell salvage (ICS) devices can provide a valuable contribution to patient blood management. An infection of the surgical site presents a formal contraindication to the use of ICS. To date, there is no recommendation for the use of ICS in the context of reimplantation in two-stage septic exchange arthroplasty. (2) Methods: at two hospitals of maximum endoprosthetic care, a retrospective evaluation of patients who had received ICS blood during reimplantation of hip arthroplasties was performed. Patients’ and surgical characteristics, intraoperative cultures, and the occurrence of septic complications in the short- and long-term follow-up were recorded. (3) Results: 144 patients were included. Detection of positive cultures during reimplantation occurred in 13 cases. A total of 127 patients showed no complication, 8 patients showed a non-specific septic complication, 6 patients a local persistence of infection, and 3 patients a possible bloodstream-associated infection. No significant correlation was found between the occurrence of complications and the detection of positive intraoperative cultures. (4) Conclusions: no clustering of septic complications due to the use of ICS during reimplantation was found. In the risk-benefit analysis, we considered the use of ICS during reimplantation to be indicated in terms of patient blood management, while the safety of the procedure during septic first-stage resection arthroplasty or septic one-stage exchange arthroplasty was not investigated. Given the paucity of comparative literature, further studies are needed on ideal patient blood management in the setting of septic revision arthroplasty.
Effects of Thyme (Thymus vulgaris L.) Essential Oil on Aging-Induced Brain Inflammation and Blood Telomere Attrition in Chronologically Aged C57BL/6J Mice
Authors: Warman Dwina Juliana , Jia Huijuan , Kato Hisanori
Published: May 2023

Chronological aging is commonly accompanied by chronic low-grade inflammation (or “inflammaging”), a contributor to the development of age-related chronic diseases. Aging increases oxidative stress that accelerates telomere shortening, leading to cell senescence and the generation of senescence-associated secretory phenotype (SASP) that exacerbates inflammation. Dietary antioxidants may help protect telomeres and attenuate inflammation. Thyme essential oil (TEO), reported for its potency against neuroinflammation, was fed to chronologically aged C57BL/6J mice for 24 weeks. The TEO diet showed notable impacts on the hippocampus, indicated by lower expression of the aging-related gene p16INK4A (p = 0.0783) and significantly lower expression of cyclin D kinase Cdk4 and Cdk6 (p < 0.05) compared to the age-matched control mice. The TEO group also showed significantly lower gene expression of the pro-inflammatory cytokine Il6 (p < 0.05) in the hippocampus and lower Il1b expression in the liver and cerebellum (p < 0.05). In vitro experiments conducted on NIH-3T3 cells expressing SASP revealed the dose-dependent anti-inflammatory activity of TEO. Remarkably, TEO diet-fed mice showed higher survival rates and significantly longer blood telomere lengths than the control mice. Monoterpene antioxidants in TEO, particularly thymol and p-cymene, may primarily contribute to the anti-inflammatory and telomere-protecting activities of TEO.
Hydrogen Sulfide Interacting with Cannabinoid 2 Receptors during Sciatic Nerve Injury-Induced Neuropathic Pain
Authors: Bai Xue , Batallé Gerard , Martínez-Martel Ignacio , Pol Olga
Published: May 2023

Hydrogen sulfide (H2S) donors make opioids more effective in inhibiting nociception during inflammatory and neuropathic pain. We examined whether the analgesic, anxiolytic and/or antidepressant actions of the cannabinoid 2 receptor (CB2R) agonist, JWH-133, might be improved by pretreatment with H2S donors, DADS and GYY4137 in mice with sciatic nerve injury-provoked neuropathy (CCI). The reversion of the antinociceptive effects of these treatments with the CB2R antagonist, AM630, and the regulatory actions of H2S in the phosphorylation of NF-κB inhibitor alpha (IKBα) and in the brain-derived neurotrophic factor (BDNF), CB2R, Nrf2 and heme oxygenase 1 (HO-1) levels in prefrontal cortex (PFC), ventral hippocampus (vHIP) and periaqueductal gray matter (PAG), were examined. Data showed that the analgesic effects of JWH-133, systemically and locally administered, were improved by the DADS or GYY4137 pretreatment. The co-treatment of GYY4137 with JWH-133 also stopped anxiodepressive-like activities that concur with neuropathy. Our data likewise showed that both H2S donors normalized the inflammatory (p-IKBα), neurotrophic (BDNF) variations caused by CCI, increased the expression of CB2R and activated the Nrf2/HO-1 antioxidant pathway in PFC, v-HIP and/or PAG of animals with neuropathic pain. In addition, the blockade of the analgesia produced by high doses of DADS and GYY4137 with AM630 indicated the contribution of the endocannabinoid system in the effects of H2S during neuropathic pain, thus supporting the positive interaction between H2S and CB2R. Therefore, this study demonstrates the potential use of CB2R agonists combined with H2S donors as a possible treatment for peripheral nerve injury-caused neuropathic pain and the associated emotional disturbances.
Nuclear Family Type Identification Based on Deep Forest Algorithm in Residential Power Consumption
Authors: Huang Zhaoxiang , Wang Hangjun
Published: May 2023

As the fertility rate declines, it becomes increasingly necessary for governments to guide power companies in introducing preferential tariffs to encourage nuclear families to have children. However, traditional household statistics for residential households are time-consuming and insufficient for enterprises seeking to adopt intelligent marketing schemes for different types of households. To address these issues, this paper proposes a nuclear family type identification method for residential electricity consumption based on a deep forest algorithm. The method first classifies nuclear households according to the number of children in them. Then, features are selected by combining the daily 48-point load and prior knowledge of nuclear families. The Pearson correlation coefficient and random forest importance ranking are used to remove features with low correlation and low importance. Additionally, features are classified based on their importance, and the number of features is balanced by stratified sampling to optimize the multi-granularity scan results and improve the model’s generalization. Finally, the improved cascade forest with feature input replacement base learner is trained, and the model is evaluated using accuracy evaluation metrics.The experimental results demonstrate that the proposed model accurately recognizes the number of children in different nuclear families and can be used in power companies to improve lean management. The results show that the improved method is effective in improving recognition com-pared to the original deep forest method, with recognition accuracy 5.1% higher than the random forest method and 0.7% higher than the deep forest method, reaching 94%.
Correlation of Bone Textural Parameters with Age in the Context of Orthopedic X-ray Studies
Authors: Kamiński Paweł , Obuchowicz Rafał , Stępień Aleksandra , Lasek Julia , Pociask Elżbieta , Piórkowski Adam
Published: May 2023

The aim of this study was to establish a relationship between the textural parameters observed in X-ray images of bones and the age of the individual. The study utilized a meticulous visual analysis of the images to identify significant correlations between textural features and age. Five distinct regions of interest, namely the Wing of the Ilium, Neck of the Femur, Greater Trochanter, Ischium, and Shaft of the Femur, were identified on both sides of the body. Textural parameters were then measured for each of these regions. The left femoral neck showed the most noteworthy associations, with the textures generated from the histogram of oriented gradients and gray-level co-occurrence matrix exhibiting the strongest correlations (ρ −0.52, p-value 4.95 × 10−14). The main finding of the current study is that correlation of age-dependent bone structure differences in the femoral neck area is higher than in other structures of the femur. This proposed methodology has the potential to aid in the early detection of osteoporosis, which is crucial for devising treatment plans and identifying potential risks associated with bone fragility.
Footstrike Pattern and Cadence of the Marathon Athletes at the Tokyo 2020 Olympic Games
Authors: Gamez-Paya Javier , Aladro-Gonzalvo Arian Ramón , Marcos Diana Gallego-de , Villarón-Casales Carlos , Amo José Luis Lopez-del
Published: May 2023

Background: The footstrike pattern and cadence are two crucial variables associated with sports performance and injury risks. This study aimed to analyze the footstrike pattern and cadence of male elite athletes who participated in the Tokyo Olympic Games marathon. Methods: Two independent researchers examined the footstrike pattern of the first 51 participants at the 5 km mark of the race. Additionally, the cadences of the top eight athletes (finalists) were analyzed in three different segments of the race (10–20 km, 20–30 km, and 30–40 km). Descriptive statistics were used to present the main variables, and a repeated-measures ANOVA was conducted to explore cadence differences among race sections (p < 0.05). Results: The mean cadence of the eight finalists was 185.5 steps per minute (SD ± 5.1), and no significant differences were observed among race sections. The most common footstrike pattern was midfoot strike, followed by rearfoot strike, then forefoot strike. The cadence results are consistent with previous studies examining elite athletes, indicating higher values compared with research involving recreational runners. Conclusions: Most elite marathon athletes adopt a non-rearfoot strike pattern and maintain a cadence of more than 185 steps per minute.
Application of Informer Model Based on SPEI for Drought Forecasting
Authors: Shang Jiandong , Zhao Bei , Hua Haobo , Wei Jieru , Qin Guoyong , Chen Gongji
Published: May 2023

To increase the accuracy of drought prediction, this study proposes a drought forecasting method based on the Informer model. Taking the Yellow River Basin as an example, the forecasting accuracies of the Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Informer models on multiple timescales of the Standardized Precipitation Evapotranspiration Index (SPEI) were compared and analyzed. The results indicate that, with an increasing timescale, the forecasting accuracies of the ARIMA, LSTM, and Informer models improved gradually, reaching the best accuracy on the 24-month timescale. However, the predicted values of ARIMA, as well as those of LSTM, were significantly different from the true SPEI values on the 1-month timescale. The Informer model was more accurate than the ARIMA and LSTM models on all timescales, indicating that Informer can widely capture the information of the input series over time and is more effective in long-term prediction problems. Furthermore, Informer can significantly enhance the precision of SPEI prediction. The predicted values of the Informer model were closer to the true SPEI values, and the forecasted SPEI trends complied with the actual trends. The Informer model can model different timescales adaptively and, therefore, better capture relevance on different timecales. The NSE values of the Informer model for the four meteorological stations on SPEI24 were 0.968, 0.974, 0.972, and 0.986.
Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models
Authors: Xu Qian , Zhou Yue , Liao Bolin , Xin Zirui , Xie Wenzhao , Hu Chao , Luo Aijing
Published: May 2023

The rising prevalence of diabetes and the increasing awareness of self-health management have resulted in a surge in diabetes patients seeking health information and emotional support in online health communities. Consequently, there is a vast database of patient consultation information in these online health communities. However, due to the heterogeneity and incompleteness of the content, mining medical information and patient health data from these communities can be a challenge. To address this issue, we built the RoBERTa-BiLSTM-CRF (RBC) model for identifying entities in the online health community of diabetes. We selected 1889 question–answer texts from the most active online health community in China, Good Doctor Online, and used these public data to identify five types of entities. In addition, we conducted a comparative evaluation with three other commonly used models to validate the performance of our proposed model, including RoBERTa-CRF (RC), BilSTM-CRF (BC), and RoBERTa-Softmax (RS). The results showed that the RBC model achieved excellent performance on the test set, with an accuracy of 81.2% and an F1 score of 80.7%, outperforming the performance of traditional entity recognition models in named entity recognition in online medical communities for doctors and diabetes patients. The high performance of entity recognition in online health communities will provide a crucial knowledge source for constructing medical knowledge graphs. This integration would help alleviate the growing demand for medical consultations and the strain on healthcare resources, while assisting healthcare professionals in making informed decisions and providing personalized services to patients.
Mitochondrial Oxidative Metabolism: An Emerging Therapeutic Target to Improve CKD Outcomes
Authors: Mapuskar Kranti A. , Vasquez-Martinez Gabriela , Mayoral-Andrade Gabriel , Tomanek-Chalkley Ann , Zepeda-Orozco Diana , Allen Bryan G.
Published: May 2023

Chronic kidney disease (CKD) predisposes one toward end-stage renal disease (ESRD) and its associated morbidity and mortality. Significant metabolic perturbations in conjunction with alterations in redox status during CKD may induce increased production of reactive oxygen species (ROS), including superoxide (O2−) and hydrogen peroxide (H2O2). Increased O2− and H2O2 may contribute to the overall progression of renal injury as well as catalyze the onset of comorbidities. In this review, we discuss the role of mitochondrial oxidative metabolism in the pathology of CKD and the recent developments in treating CKD progression specifically targeted to the mitochondria. Recently published results from a Phase 2b clinical trial by our group as well as recently released data from a ROMAN: Phase 3 trial (NCT03689712) suggest avasopasem manganese (AVA) may protect kidneys from cisplatin-induced CKD. Several antioxidants are under investigation to protect normal tissues from cancer-therapy-associated injury. Although many of these antioxidants demonstrate efficacy in pre-clinical models, clinically relevant novel compounds that reduce the severity of AKI and delay the progression to CKD are needed to reduce the burden of kidney disease. In this review, we focus on the various metabolic pathways in the kidney, discuss the role of mitochondrial metabolism in kidney disease, and the general involvement of mitochondrial oxidative metabolism in CKD progression. Furthermore, we present up-to-date literature on utilizing targets of mitochondrial metabolism to delay the pathology of CKD in pre-clinical and clinical models. Finally, we discuss the current clinical trials that target the mitochondria that could potentially be instrumental in advancing the clinical exploration and prevention of CKD.
Personalized Treatment of Glioblastoma: Current State and Future Perspective
Authors: Rončević Alen , Koruga Nenad , Soldo Koruga Anamarija , Rončević Robert , Rotim Tatjana , Šimundić Tihana , Kretić Domagoj , Perić Marija , Turk Tajana , Štimac Damir
Published: May 2023

Glioblastoma (GBM) is the most aggressive glial tumor of the central nervous system. Despite intense scientific efforts, patients diagnosed with GBM and treated with the current standard of care have a median survival of only 15 months. Patients are initially treated by a neurosurgeon with the goal of maximal safe resection of the tumor. Obtaining tissue samples during surgery is indispensable for the diagnosis of GBM. Technological improvements, such as navigation systems and intraoperative monitoring, significantly advanced the possibility of safe gross tumor resection. Usually within six weeks after the surgery, concomitant radiotherapy and chemotherapy with temozolomide are initiated. However, current radiotherapy regimens are based on population-level studies and could also be improved. Implementing artificial intelligence in radiotherapy planning might be used to individualize treatment plans. Furthermore, detailed genetic and molecular markers of the tumor could provide patient-tailored immunochemotherapy. In this article, we review current standard of care and possibilities of personalizing these treatments. Additionally, we discuss novel individualized therapeutic options with encouraging results. Due to inherent heterogeneity of GBM, applying patient-tailored treatment could significantly prolong survival of these patients.
Trait Depression and Subjective Well-Being: The Chain Mediating Role of Community Feeling and Self-Compassion
Authors: Song Youming , Xiao Zijuan , Zhang Lulu , Shi Wendian
Published: May 2023

Although subjective well-being has been widely discussed as being one of the important indicators of clinical depression, few studies have explored how it relates to trait depression. In particular, increasing the number of positive experiences has long been a potential goal for depression-related clinical interventions, but the mechanisms by which such interventions work in countering depression have been poorly studied. Grounded in the cognitive theory of depression, the current study aimed to address this specific gap by testing the mediating effects of community feeling and self-compassion between trait depression and subjective well-being. A survey of 783 college students found that trait depression was not only able to directly and negatively predict individual subjective well-being but also indirectly predict individual subjective well-being through the mediating role of community feeling and self-compassion alone and through the chain mediating role of self-compassion from community feeling. These findings reveal the internal mechanisms of trait depression that, to some extent, impede subjective well-being and offer certain guiding significance for the self-regulation of interventions for clinical and non-clinical individuals with trait depression.
Does the Faculty’s Perception of Gender Discrimination Relate to Its Assessment of Organizational Democracy in the University?
Authors: Troncoso Elizabeth , Suárez-Amaya Wendolin , Ormazábal María , Sandoval Luis
Published: May 2023

This work aimed to study the relationship between the perception of organizational democracy and gender discrimination at a Chilean public university. It is known that organizational democracy is not only about organizational life but also about democratic perceptions, attitudes, and behaviors in social life, as found in academic contexts. The methodology used factor analysis and descriptive and inferential statistical techniques to analyze data from a survey administered to 704 university faculty members, with a response rate of 58.1%. The gender distribution of this respondent population was 67% male and 37% female, values equivalent to the Chilean public university system (60% and 40%, respectively). The results highlight the importance of gender perspective in higher education. Indeed, academics who perceive greater gender discrimination toward women appreciate the deployment of organizational democracy to a lesser extent. Moreover, a high perception of discrimination on the part of women is confirmed (46%), them being, in turn, the ones who show a greater predisposition toward gender equality. This research intends to contribute to the development of strategies to remove obstacles to gender equality and improve the commitment of the academic community to institutional progress.
Towards the Renovation of Energy-Intensive Building: The Impact of Lighting and Free-Cooling Retrofitting Strategies in a Shopping Mall
Authors: Pompei Laura , Nardecchia Fabio , Viglianese Giorgio , Rosa Flavio , Piras Giuseppe
Published: May 2023

One of the most energy-intensive types of buildings is commercial. Several works investigated the optimizations of Heating, Ventilation and Air Conditioning (HVAC) systems for achieving thermal comfort and indoor air quality. On the other hand, lighting systems play also a crucial role in minimizing energy consumption rates in a shopping mall and increasing its sustainability. Despite the relevant scientific research in the literature, to the best of our knowledge, there is no study that analyzes the impact of HVAC systems with and without the free-cooling option applied to a commercial building combined with lighting solutions. The combination of HVAC systems with free cooling and lighting retrofit strategies defines four energy scenarios, where the most efficient one is detected. The results show that the use of advanced technologies in lighting control systems has a double benefit: direct savings due to the better performance of the lighting fixtures and indirect savings due to the reduction in the thermal load with a consequent reduction in consumption levels for air conditioning. Additionally, a reduction of 51.7% in lighting consumption levels generated a 17.4% reduction in air conditioning levels. A total reduction in energy consumption rate of 33% was achieved. Since the lighting strategy demonstrates a relevant impact on reducing the global energy consumption of the shopping mall, a feasibility analysis is also presented.
The Effects of Oncological Treatment on Redox Balance in Patients with Uveal Melanoma
Authors: Păsărică Mihai Adrian , Curcă Paul Filip , Burcea Marian , Schmitzer Speranța , Dragosloveanu Christiana Diana Maria , Grigorescu Alexandru Călin
Published: May 2023

(1) Background: Uveal malignant melanoma is the most common adult eye cancer and presents metabolic reprogramming that affects the tumoral microenvironment by altering the redox balance and producing oncometabolites. (2) Methods: The study prospectively evaluated patients undergoing enucleation surgery or stereotactic radiotherapy for uveal melanoma by following systemic oxidative-stress redox markers serum lipid peroxides, total albumin groups and total antioxidant levels (3) Results: Serum antioxidants and lipid peroxides were elevated from pre-treatment to longer-term follow-up. Antioxidants inversely correlated to lipid peroxides: higher in stereotactic radiosurgery patients pre/6/12/18 months post-treatment (p = 0.001–0.049) versus higher lipid peroxides in enucleation surgery patients pre/after/6 months post-treatment (p = 0.004–0.010). An increased variance in serum antioxidants was observed for enucleation surgery patients (p < 0.001), however enucleation did not increase mean serum antioxidants or albumin thiols; only lipid peroxides were increased post-enucleation (p < 0.001) and at 6-month follow-up (p = 0.029). Mean albumin thiols were increased for 18- and 24-month follow-ups (p = 0.017–0.022). Males who had enucleation surgery presented higher variance in serum determinations and overall higher lipid peroxides values pre/post-treatment and at the 18-month follow-up. (4) Conclusions: Initial oxidative stress-inducing events of surgical enucleation or stereotactic radiotherapy for uveal melanoma are followed by a longer-term inflammatory cascade gradually subsiding at later follow-ups.
A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions
Authors: Abellán Joaquín , Pérez-Lara Alejandro , Moral-García Serafín
Published: May 2023

Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information. The quantification of the information that a piece of evidence involves is a key issue in TE. Shannon’s entropy is an excellent measure in the PT for such purposes, being easy to calculate and fulfilling a wide set of properties that make it axiomatically the best one in PT. In TE, a similar role is played by the maximum of entropy (ME), verifying a similar set of properties. The ME is the unique measure in TE that has such axiomatic behavior. The problem of the ME in TE is its complex computational calculus, which makes its use problematic in some situations. There exists only one algorithm for the calculus of the ME in TE with a high computational cost, and this problem has been the principal drawback found with this measure. In this work, a variation of the original algorithm is presented. It is shown that with this modification, a reduction in the necessary steps to attain the ME can be obtained because, in each step, the power set of possibilities is reduced with respect to the original algorithm, which is the key point of the complexity found. This solution can provide greater applicability of this measure.
Complex Dynamics in Digital Nonlinear Oscillators: Experimental Analysis and Verification
Authors: Addabbo Tommaso , Fort Ada , Moretti Riccardo , Spinelli Filippo , Vignoli Valerio
Published: May 2023

A specific topology of Digital Nonlinear Oscillators (DNOs) has been implemented by using commercial off-the-shelf digital components to experimentally verify and demonstrate the capability of these circuits to support complex dynamics, independently from their implementation technology. In detail, a direct experimental evidence of the DNO dynamical behavior is presented at the analog level with a bifurcation diagram analysis, investigation of periodic and chaotic attractors, and dynamical stability. The autonomous circuit has been investigated as a source of entropy, adopting different figures of merit, including the Lempel–Ziv Complexity, to evaluate the dynamics measured under different operating conditions.
Intelligent Detection of Cryptographic Misuse in Android Applications Based on Program Slicing andTransformer-Based Classifier
Authors: Wang Lizhen , Wang Jizhi , Sui Tongtong , Kong Lingrui , Zhao Yue
Published: May 2023

The utilization of cryptography in applications has assumed paramount importance with the escalating security standards for Android applications. The adept utilization of cryptographic APIs can significantly enhance application security; however, in practice, software developers frequently misuse these APIs due to their inadequate grasp of cryptography. A study reveals that a staggering 88% of Android applications exhibit some form of cryptographic misuse. Although certain tools have been proposed to detect such misuse, most of them rely on manually devised rules which are susceptible to errors and require researchers possessing an exhaustive comprehension of cryptography. In this study, we propose a research methodology founded on a neural network model to pinpoint code related to cryptography by employing program slices as a dataset. We subsequently employ active learning, rooted in clustering, to select the portion of the data harboring security issues for annotation in accordance with the Android cryptography usage guidelines. Ultimately, we feed the dataset into a transformer and multilayer perceptron (MLP) to derive the classification outcome. Comparative experiments are also conducted to assess the model’s efficacy in comparison to other existing approaches. Furthermore, planned combination tests utilizing supplementary techniques aim to validate the model’s generalizability.
Three-Leg Quasi-Z-Source Inverter with Input Ripple Suppression for Renewable Energy Application
Authors: Zhang Chuanyu , Cao Chuanxu , Chen Ruiqi , Jiang Jiahui
Published: May 2023

Single-phase inverters are widely employed in renewable energy applications. However, their inherent 2ω-ripple power can substantially affect system performance, leading to fluctuations in the maximum power points (MPP) of photovoltaic (PV) systems and shortening the lifespans of fuel cell (FC) systems. To alleviate input ripple, a three-leg quasi-Z-source inverter (QZSI) and its associated control strategy are proposed. The QZSI consists of a quasi-Z-source network, an H-Bridge inverter, and an active power filter (APF). The active filtering structure comprises filtering capacitors and the third bridge leg. The proposed control strategy consists of three loops: open-loop simple boost control, output voltage control, and 2ω-ripple suppression control. Open-loop simple boost control is utilized for shoot-through state modulation, output voltage control is applied to the two bridge-legs of the H-Bridge, and the additional third bridge-leg adopts a quasi-PR control (QPR) method that injects specific frequency harmonic voltage and suppresses newly generated low-frequency components of the input current. This method effectively avoids the drawbacks of utilizing passive filtering strategies, such as high-value impedance networks, low power density, and weak system stability. A simulation platform of 300W 144VDC/110VAC50Hz is constructed. The simulation results indicate that the addition of the third bridge leg under full load conditions reduces the input-side inductor current ripple ΔI from 1.89 A with passive filtering to 0.513 A, representing a reduction of 72.86%. The second harmonic ripple of the input current is reduced from 18.2% to 4.5%, and the fourth harmonic ripple is reduced from 16.5% to 2.1%. The DC bus voltage ripple ΔVPN falls from 70.75 V to 6.54 V, representing a reduction of 90.76%. The Total Harmonic Distortion (THD) of the output voltage and current are both less than 1%. The simulation results validated the feasibility of the proposed approach.
The Synergistic Effects of AMF Inoculation and Boron Deficiency on the Growth and Physiology of Camellia oleifera Seedlings
Authors: Liu Junying , Zhang Mengxue , Fan Jie , Ding Wenna , Chen Longsheng , Luo Jie , Liu Yongzhong , Mei Li
Published: May 2023

Arbuscular mycorrhizal fungi (AMF) symbiosis has been shown to improve the ability to obtain nutrients and resist adverse environmental conditions. However, there are few studies on the functions of AMF in the absorption and accumulation of boron (B). Moreover, it is still unclear whether the root colonization rates of AMF are limited by B deficiency. In this study, Camellia oleifera seedlings were planted in normal and boron-deficient substrates, and the seedlings were inoculated with Funneliformis mosseae or left uninoculated. The growth and physiological indices of C. oleifera seedlings were determined. The results of this experiment indicate that AMF inoculation increased the plant biomass, B content, B accumulation, and antioxidant enzyme activity in both normal and boron-deficient C. oleifera seedlings. Furthermore, boron deficiency resulted in a decrease in the AMF root colonization efficiency and the inhibition of C. oleifera seedlings’ growth and physiological activity. These findings suggest that AMF inoculation could improve the resistance to B-deficiency stress. Additionally, the colonization efficiency of AMF was adversely affected by B deficiency; thus, AMF play a cooperative role with B in the growth and physiological functions of plants. The results provide a theoretical basis for taking measures to solve B-deficiency stress in C. oleifera and other plants’ cultivation.
Impact of Repurposing Forest Land on Erosion and Sediment Production. Case Study: Krupanj Municipality—Serbia
Authors: Bezbradica Ljubiša , Josimović Boško , Milijić Saša
Published: May 2023

Erosion is one of the main causes of soil degradation and sediment production. The amount of eroded material that reaches rivers and lakes depends on the terrain but also on the climatic and hydrological characteristics of the basin, as well as the applied land management method. The intensity of sediment production is in direct correlation with the land use type. Repurposing forest land as mining, urban and infrastructural development areas, etc., significantly affects sediment production. Shrinking of forests and unplanned agricultural production are just some of the factors that intensify erosion processes and increase the amount of eroded material, also triggering climate change and the onset of prolonged dry and rainy periods, which increase the risk of erosion in sloping terrain and intense sediment production. The paper presents the correlation between the change in the forest land use method, on the one hand, and soil erosion and sediment production, on the other, by analysing segments of river basins in the territory of the Serbian Municipality of Krupanj. The modelling of sediment production was based on data collected from the experimental territories. The method of erosion potential, data analysis, and procession in GIS surrounding were used for calculating sediment production in the experimental areas. The greatest loss of soil was perceived in the terrain with little or no vegetation on steep slopes covered with material prone to water erosion. The smallest production of sediment was noted in the terrain with vital forest vegetation. The results received point to the heterogeneous estimates of land loss, enabling the modelling of sediment production in wider basin areas and the analysis of the impacts of different land management factors on the erosion processes.
Fungicide Effect of a Novelty Antimicrobial Biosurfactant Extract Alone or Combined with Copper Oxychloride on Botrytis cinerea Cells
Authors: López-Prieto Alejandro , Moldes Ana Belén , Cruz José Manuel , Pérez-Cid Benita
Published: May 2023

Microbial contaminations represent an important issue for crop production, resulting in tons of losses worldwide every year. One of the highest-risk pathogens involved in these infections is Botrytis cinerea, which is responsible for the grey mold disease. In this study, a biosurfactant extracted from corn steep liquor (CSL), an agro-industrial residue from the corn-milling industry, was used in combination with copper oxychloride (Cu-Oxy), a copper-based pesticide, to evaluate their fungitoxic activity on B. cinerea cells. The results showed that the mixture of 2 g/L of Cu-Oxy with 16 g/L of the biosurfactant extract from CSL, named biosurfactant pesticide formulation (BS-P), helped in the reduction of colony growth, in the decrease of biomass production, and in the improvement of copper bioaccumulation on fungal mycelium in comparison with aqueous solutions of commercial and pure-copper-based fungicides. A factorial design was conducted to obtain the best operational conditions for enhancing the bioaccumulation of copper by B. cinerea cells in the presence of BS-P, resulting in a maximum copper uptake of 2122 µg Cu/g dry weight when using 1 g/L of Cu-Oxy combined with 8 g/L of CSL biosurfactant extract at an incubation temperature of 15 °C. It was also proved that, due to the absence of the biosurfactant extract, the amount of copper bio-adsorbed by fungal mycelium was considerably decreased and, therefore, so was its fungitoxic activity. These results suggest that the biosurfactant extract studied could be involved in eco-friendlier pesticide formulations, reducing the environmental impact of copper-based active principles.
Stock Discrimination of Gilthead Seabream (Sparus aurata Linnaeus, 1758) through the Examination of Otolith Morphology and Genetic Structure
Authors: Geladakis George , Batargias Costas , Somarakis Stylianos , Koumoundouros George
Published: May 2023

Reliable stock identification constitutes an integral component of effective fishery management. Current methods for the identification of putative stock units comprise the analysis of both phenotypic and genetic variability. The present study examined the spatial variation in otolith morphology (shape and asymmetry) and genetic composition of 395 wild-caught Gilthead seabream (Sparus aurata) specimens, collected from the Aegean and Ionian Seas (eastern Mediterranean) between 2014–2018. The degree of scale regeneration (SRD, % of regenerated scales) was used as an indicator to assess the potential presence of aquaculture escapees in the wild-caught samples. Otolith shape and asymmetry analyses showed a phenotypic discrimination between northwestern Aegean and Ionian Gilthead seabream populations. Genetic analyses of nine microsatellite markers revealed higher levels of genetic variation in the wild compared with samples obtained from aquaculture farms. Despite the absence of genetic structure among the wild-caught seabream populations, a low but statistically significant genetic differentiation was found between reared fish and fish collected in the field. The SRD was considered effective in detecting the presence of aquaculture escapees that may have escaped in either early or late rearing phases.
Association of ACTN3 R577X Polymorphism with Elite Basketball Player Status and Training Responses
Authors: Demirci Berkay , Bulgay Celal , Ceylan Halil İbrahim , Öztürk Mehmet Ertuğrul , Öztürk Deniz , Kazan Hasan Huseyin , Ergun Mehmet Ali , Cerit Mesut , Semenova Ekaterina A. , Larin Andrey K. , Generozov Edward V. , Ahmetov Ildus I. , Cepicka Ladislav
Published: May 2023

The α-actinin-3 (ACTN3) gene rs1815739 (C/T, R577X) polymorphism is a variant frequently associated with athletic performance among different populations. However, there is limited research on the impact of this variant on athlete status and physical performance in basketball players. Therefore, the aim of this study was twofold: (1) to determine the association of ACTN3 rs1815739 polymorphism with changes in physical performance in response to six weeks of training in elite basketball players using 30 m sprint and Yo-Yo Intermittent Recovery Test Level 2 (IR 2) tests, and (2) to compare ACTN3 genotype and allelic frequencies between elite basketball players and controls. The study included a total of 363 individuals, comprising 101 elite basketball players and 262 sedentary individuals. Genomic DNA was isolated from oral epithelial cells or leukocytes, and genotyping was performed by real-time PCR using KASP genotyping method or by microarray analysis. We found that the frequency of the ACTN3 rs1815739 XX genotype was significantly lower in basketball players compared to controls (10.9 vs. 21.4%, p = 0.023), suggesting that RR/RX genotypes were more favorable for playing basketball. Statistically significant (p = 0.045) changes were observed in Yo-Yo IRT 2 performance measurement tests in basketball players with the RR genotype only. In conclusion, our findings suggest that the carriage of the ACTN3 rs1815739 R allele may confer an advantage in basketball.
Peptides of a Feather: How Computation Is Taking Peptide Therapeutics under Its Wing
Authors: Kazmirchuk Thomas David Daniel , Bradbury-Jost Calvin , Withey Taylor Ann , Gessese Tadesse , Azad Taha , Samanfar Bahram , Dehne Frank , Golshani Ashkan
Published: May 2023

Leveraging computation in the development of peptide therapeutics has garnered increasing recognition as a valuable tool to generate novel therapeutics for disease-related targets. To this end, computation has transformed the field of peptide design through identifying novel therapeutics that exhibit enhanced pharmacokinetic properties and reduced toxicity. The process of in-silico peptide design involves the application of molecular docking, molecular dynamics simulations, and machine learning algorithms. Three primary approaches for peptide therapeutic design including structural-based, protein mimicry, and short motif design have been predominantly adopted. Despite the ongoing progress made in this field, there are still significant challenges pertaining to peptide design including: enhancing the accuracy of computational methods; improving the success rate of preclinical and clinical trials; and developing better strategies to predict pharmacokinetics and toxicity. In this review, we discuss past and present research pertaining to the design and development of in-silico peptide therapeutics in addition to highlighting the potential of computation and artificial intelligence in the future of disease therapeutics.
A Multiaxial Rehabilitation Programme for Workers with COVID-19 Sequelae Using a Conventional and Technological-Robotic Approach: The Proposal of INAIL and Fondazione Don Carlo Gnocchi
Authors: Aprile Irene , Bramante Lucia , La Russa Chiara , Germanotta Marco , Barletta Valeria Teresa , Falchini Francesca , Brambilla Lorenzo , Guglielmelli Eugenio , Rossi Patrizio
Published: May 2023

The COVID-19 sequelae have been shown to affect respiratory and cardiological functions as well as neuro-psychological functions, and, in some cases, metabolic/nutritional aspects. The Italian National Institute for Insurance against Accidents at Work (Istituto Nazionale Assicurazione Infortuni sul Lavoro, INAIL) recorded that, until December 2022, 315,055 workers were affected by COVID-19; therefore, there is a need to identify an effective approach to treat such patients. Robotic and technological devices could be integrated into the rehabilitation programme of people with long COVID conditions. A review of the literature showed that telerehabilitation may improve functional capacity, dyspnoea, performance, and quality of life in these patients, but no studies were found evaluating the effects of robot-mediated therapy or virtual reality systems. Considering the above, Fondazione Don Carlo Gnocchi and INAIL propose a multi-axial rehabilitation for workers with COVID-19 sequelae. To accomplish this goal, the two institutions merged the epidemiological information gathered by INAIL, the expertise in robotic and technological rehabilitation of Fondazione Don Carlo Gnocchi, and the literature review. Our proposal aims to facilitate a multi-axial rehabilitation approach customized to meet the unique needs of each individual, with a particular emphasis on utilizing advanced technologies to address the current and future challenges of patient care.
Intrafamilial Transmission of Pneumococcal Acute Spontaneous Peritonitis
Authors: Papadatou Ioanna , Moudaki Angeliki , Mentessidou Anastasia , Tsakogiannis Dimitrios , Georgiadou Elissavet , Spoulou Vana
Published: May 2023

Streptococcus pneumonia (S. pneumoniae, Pneumococcus) is a major cause of childhood morbidity and mortality worldwide. The most common presentations of invasive pneumococcal disease (IPD) in children include bacteremic pneumonia, meningitis, and septicemia. However, pneumococcal acute spontaneous peritonitis is a highly uncommon—and potentially life-threatening—presentation of invasive pneumococcal disease and should be considered in cases of abdominal sepsis. To our knowledge, we report the first case of intrafamilial transmission of pneumococcal peritonitis in two previously healthy children.
Feasibility of Virtually Delivering Functional Fitness Assessments and a Fitness Training Program in Community-Dwelling Older Adults
Authors: Thompson Christian , Porter Starr Kathryn N. , Kemp Elizabeth Chmelo , Chan June , Jackson Emily , Phun Justin
Published: May 2023

The COVID-19 pandemic limited older adults’ access to preventative and diagnostic services and negatively affected accessibility to age-appropriate exercise programs. The purpose of this study was to assess the feasibility of conducting guided virtual functional fitness assessments before and after participation in an 8-week virtual, live fitness program (Vivo) designed for older adults. It was hypothesized there would be no significant difference between in-person and virtual functional fitness assessments and function would improve following the program. Thirteen community-dwelling older adults were recruited, screened, and randomly assigned to in-person-first or virtual-first fitness assessment groups. Validated assessments were delivered using standardized scripts by trained researchers and included Short Physical Performance Battery (SPPB) balance, a 30 s Chair Stand Test, 8 Foot Up-and-Go Test, 30 s Arm Curl Test, and 2 min Step Test. The eight-week, twice-a-week live virtual fitness program involved cardiovascular, balance, agility, Dual-Task, and strength training. Results showed no significant differences between all but one assessment measures, and several measures improved following the eight-week program. Fidelity checks demonstrated the high fidelity of program delivery. These findings illustrate that virtual assessments can be a feasible method to measure functional fitness in community-dwelling older adults.
Temperature-Dependent Biology and Population Performances of the Coffee Berry Borer Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae: Scolytinae) on Artificial Diet
Authors: Wei Shao-Hua , Wang Liang-Jong , Lin Ming-Ying
Published: May 2023

At different observation intervals of 1, 5, and 10 days during a trial period of 30 days, the mortality rates of Hypothenemus hampei were 100, 95, and 55%, and the fecundity rates were 0.55, 8.45, and 19.35 eggs/female, respectively. At temperatures of 18, 21, 24, and 27 °C, the development time of the immature stage of H. hampei was significantly shortened with increasing temperature. Furthermore, the lower developmental threshold (T0) and thermal summation (K) of the immature stage were 8.91 °C and 485.44 degree-days, respectively. The greatest longevity of female and male adults reached 115.77 and 26.50 days, respectively, at 18 °C. The highest fecundity was 29.00 eggs/female at 24 °C. The population parameters of H. hampei were analyzed on the basis of the age–stage, two-sex life table theory. According to the data, the parameters were significantly affected by temperature. The highest net reproductive rate (R0) was 13.32 eggs/individual at 24 °C. The highest intrinsic rate of increase (r) and finite rate of increase (λ) were calculated as 0.0401 and 1.0409 day−1, respectively, at a temperature of 27 °C. The shortest mean generation time (T) was 51.34 days at 27 °C. Overall, we provide a discussion on comprehensive biological information regarding H. hampei, thus providing basic knowledge for further research on this pest.