bluuebunny/crossref_metadata_2025 huggingface dataset:
Light Quality Influence on Growth Performance and Physiological Activity of Coleus Cultivars
Authors: Park Byoung Gyoo , Lee Jae Hwan , Shin Eun Ji , Kim Eun A , Nam Sang Yong
Published: August 2024

This study investigates the influence of different light qualities, including red, green, blue, purple, and white lights, on the growth, physiological activity, and ornamental characteristics of two Coleus cultivars. Emphasizing the importance of leveraging phenotypic plasticity in plants within controlled environments, using light quality is a practice prevalent in the ornamental industry. The research explores the varied responses of two Coleus cultivars to distinct light spectra. The key findings reveal the efficacy of red light in enhancing shoot and leaf parameters in C. ‘Highway Ruby’, while red and green light exhibit comparable effects on shoot width and leaf dimensions in C. ‘Wizard Jade’. White light-emitting diodes (LEDs), particularly with color temperatures of 4100 K and 6500 K, promote root length growth in the respective cultivars. Moreover, chlorophyll content and remote sensing vegetation indices, including chlorophyll content (SPAD units), the normalized difference vegetation index (NDVI), the modified chlorophyll absorption ratio index (MCARI), and the photochemical reflectance index (PRI), along with the chlorophyll fluorescence, were significantly affected by light qualities, with distinct responses observed between the cultivars. In summary, this study highlights the transformative potential of LED technology in optimizing the growth and ornamental quality of foliage plants like Coleus, setting a benchmark for light quality conditions. By leveraging LED technology, producers and nursery growers access enhanced energy efficiency and unparalleled versatility, paving the way for significant advancements in plant growth, color intensity, and two-tone variations. This presents a distinct advantage over conventional production methods, offering a more sustainable and economically viable approach for increased plant reproduction and growth development. Likewise, the specific benefits derived from this study provide invaluable insights, enabling growers to strategically develop ornamental varieties that thrive under optimized light conditions and exhibit heightened visual appeal and market desirability.
The Story, Properties and Applications of Bioactive Glass “1d”: From Concept to Early Clinical Trials
Authors: Tulyaganov Dilshat U. , Agathopoulos Simeon , Dimitriadis Konstantinos , Fernandes Hugo R. , Gabrieli Roberta , Baino Francesco
Published: August 2024

Bioactive glasses in the CaO–MgO–Na2O–P2O5–SiO2–CaF2 system are highly promising materials for bone and dental restorative applications. Furthermore, if thermally treated, they can crystallize into diopside–fluorapatite–wollastonite glass-ceramics (GCs), which exhibit appealing properties in terms of mechanical behaviour and overall bone-regenerative potential. In this review, we describe and critically discuss the genesis, development, properties and applications of bioactive glass “1d” and its relevant GC derivative products, which can be considered a good example of success cases in this class of SiO2/CaO-based biocompatible materials. Bioactive glass 1d can be produced by melt-quenching in the form of powder or monolithic pieces, and was also used to prepare injectable pastes and three-dimensional porous scaffolds. Over the past 15 years, it was investigated by the authors of this article in a number of in vitro, in vivo (with animals) and clinical studies, proving to be a great option for hard tissue engineering applications.
Novel NH4V4O10-Reduced Graphene Oxide Cathodes for Zinc-Ion Batteries: Theoretical Predictions and Experimental Validation
Authors: Lin He , Liu Chenfan , Zhang Yu
Published: August 2024

This investigation explores the potential of enhancing aqueous zinc-ion batteries (AZIBs) through the introduction of a novel cathode material, NH4V4O10 (NVO), combined with reduced graphene oxide (rGO). Utilizing Density Functional Theory (DFT), it was hypothesized that the incorporation of rGO would increase the interlayer spacing of NVO and diminish the charge transfer interactions, thus promoting enhanced diffusion of Zn2+ ions. These theoretical predictions were substantiated by experimental data acquired from hydrothermal synthesis, which indicated a marked increase in interlayer spacing. Significantly, the NVO–rGO composite exhibits remarkable cyclic durability, maintaining 95% of its initial specific capacity of 507 mAh g−1 after 600 cycles at a current density of 5 A g−1. The electrochemical performance of NVO–rGO not only surpasses that of pristine NVO but also outperforms the majority of existing vanadium oxide cathode materials reported in the literature. This study underscores the effective integration of theoretical insights and experimental validation, contributing to the advancement of high-performance energy storage technologies.
Patterns and Complications of Congenital Heart Disease in Adolescents and Adults in Ethiopia
Authors: Eshetu Misikr Alemu , Goshu Dejuma Yadeta , Kebede Molla Asnake , Negate Hashim Meketa , Habtezghi Abiel Berhe , Gregory Paula Marsh , Wirtu Amenu Tolera , Gemechu Jickssa Mulissa
Published: August 2024

Background: Congenital heart disease (CHD) encompasses morphofunctional anomalies in the heart and circulatory system present at birth, which may not become apparent until later in life. In Ethiopia, there needs to be more understanding of the prevalence, patterns, and associated complications of CHD malformations. This study aimed to investigate the patterns and complications of CHDs among patients receiving follow-up care at a specialized university referral hospital in Ethiopia. Methods: A hospital-based cross-sectional study was conducted on 199 patients with CHDs to assess the patterns and complications of defects. Retrospective data were collected from 16,972 patients who had follow-ups at a cardiac clinic in 2021 using medical records, and a statistical analysis was performed with SPSS version 24. Results: The most prevalent types of CHDs in our study population were atrial septal defects (ASDs) at 41.2% (82 cases), ventricular septal defects (VSDs) at 26.6% (53 cases), and patent ductus arteriosus (PDAs) at 9.5% (19 cases). Complications related to CHDs were observed in 69.3% (138) of patients, with 30.7% (61) experiencing a single complication and 39.2% (87) experiencing multiple complications. Conclusion: This study found a higher prevalence of CHDs in females (77.8%) compared to males, a trend consistent across various atrial and ventricular defect types. Individuals aged 15 to 25 years exhibited the highest incidence of ASD and VSD. Moreover, CHD-related anomalies were present in 69.3% of the patients studied.
Beneficial Effects of the Ketogenic Diet on Nonalcoholic Fatty Liver Disease (NAFLD/MAFLD)
Authors: Dyńka Damian , Rodzeń Łukasz , Rodzeń Mateusz , Łojko Dorota , Kraszewski Sebastian , Ibrahim Ali , Hussey Maria , Deptuła Adam , Grzywacz Żaneta , Ternianov Alexandre , Unwin David
Published: August 2024

The prevalence of nonalcoholic fatty liver disease (NAFLD) is likely to be approaching 38% of the world’s population. It is predicted to become worse and is the main cause of morbidity and mortality due to hepatic pathologies. It is particularly worrying that NAFLD is increasingly diagnosed in children and is closely related, among other conditions, to insulin resistance and metabolic syndrome. Against this background is the concern that the awareness of patients with NAFLD is low; in one study, almost 96% of adult patients with NAFLD in the USA were not aware of their disease. Thus, studies on the therapeutic tools used to treat NAFLD are extremely important. One promising treatment is a well-formulated ketogenic diet (KD). The aim of this paper is to present a review of the available publications and the current state of knowledge of the effect of the KD on NAFLD. This paper includes characteristics of the key factors (from the point of view of NAFLD regression), on which ketogenic diet exerts its effects, i.e., reduction in insulin resistance and body weight, elimination of fructose and monosaccharides, limitation of the total carbohydrate intake, anti-inflammatory ketosis state, or modulation of gut microbiome and metabolome. In the context of the evidence for the effectiveness of the KD in the regression of NAFLD, this paper also suggests the important role of taking responsibility for one’s own health through increasing self-monitoring and self-education.
Periodontal Patients’ Perceptions and Knowledge of Dental Implants—A Questionnaire Study
Authors: Dolińska Ewa , Węglarz Anna , Jaroma Weronika , Kornowska Gabriela , Zapaśnik Zuzanna , Włodarczyk Patrycja , Wawryniuk Jakub , Pietruska Małgorzata
Published: August 2024

Background: Highly prevalent tooth loss is observed among populations around the world. To restore masticatory function and satisfactory aesthetics, missing teeth must be replaced. Dental implants are increasingly used for this purpose. This study aimed to assess periodontal patients’ knowledge and attitudes towards dental implants. Methods: 467 anonymous questionnaires of periodontal patients were analyzed. The population participants were divided according to gender, age, education and place of residence. In the statistical analysis, the chi-squared test of independence was used (p < 0.05). The main questions addressed patients’ knowledge about dental implants and the factors influencing their decision to undergo implantation. Results: The majority of periodontal patients were aware of dental implants and the importance of oral hygiene in their maintenance. However, the population studied had many knowledge deficits, especially on the technical and biological aspects of implants. The lack of knowledge about peri-implantitis was surprising in the group seeking professional periodontal care. Patients obtained information mainly from the internet and from family and friends, with their dentists being the third source. Good functional and aesthetic outcomes would encourage them to undergo the implantation procedure, and high cost and the possibility of complications were the most discouraging factors. Conclusions: Given the growing popularity of implant treatment, patients should be provided with evidence-based knowledge about indications and possible contraindications to implants to make informed decisions.
Multimodal Approach Combining Thulium Laser Vaporization, Bipolar Transurethral Resection of the Prostate, and Bipolar Plasma Vaporization versus Bipolar Transurethral Resection of the Prostate: A Matched-Pair Analysis
Authors: Coman Roxana Andra , Coman Radu Tudor , Popescu Răzvan-Ionuț , Leucuta Daniel Corneliu , Couți Răzvan , Coman Ioan , Al Hajjar Nadim
Published: August 2024

Background/Objectives: The aim of our study is to compare the perioperative and functional outcomes of a multimodal approach combining thulium laser vaporization, bipolar TURP, and bipolar plasma vaporization (TLP) with bipolar TURP in a matched-pair analysis. Methods: A nonrandomized, observational, retrospective, and matched-pair analysis was performed on two homogeneous groups of 60 patients who underwent TLP versus bipolar TURP at our center between March 2018 and December 2021. The American Society of Anesthesiologists (ASA) score and prostate volume (PV) were the main parameters used to match patients between the two groups. Follow-up was evaluated at 3, 6, 12, and 24 months after surgery. Results: There was a shorter operative time in favor of TLP (42 versus 45 min, p = 0.402). Median hemoglobin drop (−0.3 versus −0.6, p < 0.001) and median sodium drop (−0.3 versus −0.7, p < 0.001) after surgery were statistically significantly lower in TLP compared to bipolar TURP. The International Prostate Symptom Score (IPSS) and Quality of Life (QoL) scores were significantly lower, and the maximum urinary flow rate was higher in the TLP group. The median PSA decrease 2 years after surgery was 73.92% in the TLP group versus 76.17% in the bipolar TURP group (p = 0.578). The complication rate was lower in the TLP group (20% versus 21.67%, p = 1). Conclusions: The results show that both procedures are equally effective and safe in the treatment of symptomatic BPH with some advantages regarding the TLP technique.
Prevalence and Risk by Age and Sex of Sleep Dysregulation and Depressive Episodes in Bipolar and Depressive Disorders in a Community Survey in Sardinia, Italy
Authors: Congiu Patrizia , Carta Mauro Giovanni , Perra Alessandra , Cantone Elisa , Lorrai Stefano , Pintus Elisa , Tusconi Massimo , Cossu Giulia , Redolfi Stefania , Sancassiani Federica
Published: August 2024

Background/Objectives: Sleep disturbances often accompany mood disorders and persistent insomnia after mood symptoms have resolved may be a marker of poor outcome. The association between sleep symptoms and mood disorders seems to change with age and sex. This study aims to assess the frequency of depressive episodes and sleep disorders in the general population through an agile screening questionnaire and to evaluate the association of depressive episodes and sleep symptoms by sex and age categories. Methods: 774 women and 728 men from Sardinia aged > 16 years old were enrolled. The Patient Health Questionnaire (PHQ-9) was administered through a computer-assisted telephonic interview. Results: The frequency of depressive episodes was double in women (10.6% vs. 4.4%; p < 0.0001), with the highest values in women > 75 yo (17.4%). The frequency of sleep dysregulation was double in women (18.7% vs. 9.6%; p < 0.0001), with the highest values in women > 75 yo (35.9%) and the lowest in the group of men > 75 yo. The group of young males showed the lowest frequency of depressive episodes (1.4%) and a frequency of sleep dysregulation (9.1%) similar to that of the other groups of age and sex. Sleep dysregulation without depressive episodes presented a higher distribution in the elderly, both in males (20.7%) and in females (18.5%). No significative differences were found across sex and age groups in the distribution of depressive episodes without sleep dysregulation. Conclusions: The use of an agile screener such as PHQ9 in the general population and/or in populations at risk can be a valuable tool in finding those individuals in whom sleep dysregulation may represent an early warning signal, one that may be thoroughly evaluated to identify and treat possible sleep disorders early.
Thrombosis and Thrombotic Risk in Athletes
Authors: Miele Ciro , Mennitti Cristina , Gentile Alessandro , Veneruso Iolanda , Scarano Carmela , Vastola Aniello , La Monica Ilaria , Uomo Fabiana , Iafusco Fernanda , Capasso Filomena , Pero Raffaela , D’Argenio Valeria , Lombardo Barbara , Tinto Nadia , Di Micco Pierpaolo , Scudiero Olga , Frisso Giulia , Mazzaccara Cristina
Published: August 2024

The hemostatic system is characterized by a delicate balance between pro- and anticoagulant forces, and the smallest alteration can cause serious events such as hemorrhages or thrombosis. Although exercise has been shown to play a protective role in athletes, several factors may increase the risk of developing venous thromboembolism (VTE), including hemoconcentration induced by exertion, immobilization following sports injuries, frequent long-distance flights, dehydration, and the use of oral contraceptives in female athletes. Biomarkers such as D-dimer, Factor VIII, thrombin generation, inflammatory cytokines, and leukocyte count are involved in the diagnosis of deep vein thrombosis (DVT), although their interpretation is complex and may indicate the presence of other conditions such as infections, inflammation, and heart disease. Therefore, the identification of biomarkers with high sensitivity and specificity is needed for the screening and early diagnosis of thromboembolism. Recent evidence about the correlation between the intensity of physical activity and VTE is divergent, whereas the repeated gestures in sports such as baseball, hockey, volleyball, swimming, wrestling, or, on the other hand, soccer players, runners, and martial art training represent a risk factor predisposing to the onset of upper and lower DVT. Anticoagulant therapy is the gold standard, reducing the risk of serious complications such as pulmonary embolism. The aim of this review is to provide a general overview about the interplay between physical exercise and the risk of thromboembolism in athletes, focusing on the main causes of thrombosis in professional athletes and underlying the need to identify new markers and therapies that can represent a valid tool for safeguarding the athlete’s health.
Hyperuricaemia Prevalence Rates According to Their Physiochemical and Epidemiological Diagnostic Criteria and Their Associations with Cardio-Renal-Metabolic Factors: SIMETAP-HU Study
Authors: Ruiz-García Antonio , Serrano-Cumplido Adalberto , Arranz-Martínez Ezequiel , Escobar-Cervantes Carlos , Pallarés-Carratalá Vicente
Published: August 2024

Background: Scientific societies disagree on serum uric acid (SUA) thresholds for the diagnosis of hyperuricaemia (HU) according to epidemiological or physiochemical criteria (SUA ≥ 7.0 mg/dL for men and ≥6.0 mg/dL for women [HU-7/6]; SUA ≥ 7.0 mg/dL for both genders [HU-7/7], respectively). HU is not included among the diagnostic criteria for metabolic syndrome or cardiovascular-renal-metabolic syndrome (CKM), although it promotes atherosclerosis and is associated with renal and cardiometabolic diseases. Both issues are of utmost importance and need to be clarified, hence the present study aims to assess the prevalence rates of HU and their associations with CKM factors. Methods: A cross-sectional observational study was conducted on a random population-based sample of 6489 adults. Bivariate and multivariate analyses were performed on the most well-known renal and cardiometabolic variables of the populations with and without HU-7/7 and HU-7/6. Results: The adjusted prevalence rates for HU-7/6 were 13.4% in adult population (18.4% in men; 9.6% in women) and 10.2% (18.4% in men; 3.8% in women) for HU-7/7. The main factors associated independently with HU for both genders were low estimated glomerular filtration rate, hypertension, hypertriglyceridaemia, and alcoholism, regardless of the criteria chosen, as well as albuminuria in women and central obesity in men. Conclusions: The prevalence rates of HU increase linearly with age for both genders. The associations of CKM factors with HU diagnosed according to physiochemical criterion are more similar between men and women than those using epidemiological criteria.
Bone Health Optimization in Adult Spinal Deformity Patients: A Narrative Review
Authors: Al-Najjar Yousef A. , Quraishi Danyal A. , Kumar Neerav , Hussain Ibrahim
Published: August 2024

Osteoporosis and low bone mineral density (BMD) pose significant challenges in adult spinal deformity surgery, increasing the risks of complications such as vertebral compression fractures, hardware failure, proximal junctional kyphosis/failure, and pseudoarthrosis. This narrative review examines the current evidence on bone health optimization strategies for spinal deformity patients. Preoperative screening and medical optimization are crucial, with vitamin D supplementation showing particular benefit. Among the pharmacologic agents, bisphosphonates demonstrate efficacy in improving fusion rates and reducing hardware-related complications, though the effects may be delayed. Teriparatide, a parathyroid hormone analog, shows promise in accelerating fusion and enhancing pedicle screw fixation. Newer anabolic agents like abaloparatide and romosozumab require further study but show potential. Romosozumab, in particular, has demonstrated significant improvements in lumbar spine BMD over a shorter duration compared to other treatments. Surgical techniques like cement augmentation and the use of larger interbody cages can mitigate the risks in osteoporotic patients. Overall, a multifaceted approach incorporating medical optimization, appropriate pharmacologic treatment, and tailored surgical techniques is recommended to improve outcomes in adult spinal deformity patients with compromised bone quality. Future research should focus on optimizing the treatment protocols, assessing the long-term outcomes of newer agents in the spine surgery population, and developing cost-effective strategies to improve access to these promising therapies.
Artificial Intelligence (AI) and Nuclear Features from the Fine Needle Aspirated (FNA) Tissue Samples to Recognize Breast Cancer
Authors: Islam Rumana , Tarique Mohammed
Published: August 2024

Breast cancer is one of the paramount causes of new cancer cases worldwide annually. It is a malignant neoplasm that develops in the breast cells. The early screening of this disease is essential to prevent its metastasis. A mammogram X-ray image is the most common screening tool practiced currently when this disease is suspected; all the breast lesions identified are not malignant. The invasive fine needle aspiration (FNA) of a breast mass sample is the secondary screening tool to clinically examine cancerous lesions. The visual image analysis of the stained aspirated sample imposes a challenge for the cytologist to identify the malignant cells accurately. The formulation of an artificial intelligence-based objective technique on top of the introspective assessment is essential to avoid misdiagnosis. This paper addresses several artificial intelligence (AI)-based techniques to diagnose breast cancer from the nuclear features of FNA samples. The Wisconsin Breast Cancer dataset (WBCD) from the UCI machine learning repository is applied for this investigation. Significant statistical parameters are measured to evaluate the performance of the proposed techniques. The best detection accuracy of 98.10% is achieved with a two-layer feed-forward neural network (FFNN). Finally, the developed algorithm’s performance is compared with some state-of-the-art works in the literature.
Production of Aluminium-Polymer Joints by Friction Stir Spot Welding
Authors: Pereira Miguel A. R. , Galvão Ivan , Costa José D. M. , Amaro Ana M. , Leal Rui M.
Published: August 2024

The joining of AA6082-T6 and polyamide 6 using pinless friction stir spot welding was investigated in this study. The influence of the clamping frame geometry was studied and the welds produced were characterized based on their morphology and mechanical performance. The morphological analysis was evaluated based on the comparison of the different joining areas and on the presence of defects in the resolidified layer of the polymer. In turn, the mechanical performance of the joints was evaluated by tensile-shear testing. Additionally, the influence of plunge depth parameter was studied for the clamping frame geometry providing the best mechanical performance. While the clamping frame geometry had a greater impact on the size of the joining areas, therefore influencing the micro-mechanical interlocking mechanisms, the plunge depth mainly affected the plunging of the aluminium into the polymeric material, therefore affecting the macro-mechanical interlocking mechanism. The strongest joints, which failed for a load of about 2700 N, were produced with the clamping frame geometry that restricted the welding zone the least, and used the highest plunge depth.
Grabbing Path Extraction of Deep-Sea Manganese Nodules Based on Improved YOLOv5
Authors: Cui Chunlu , Ma Penglei , Zhang Qianli , Liu Guijie , Xie Yingchun
Published: August 2024

In an effort to enhance the efficiency and accuracy of deep-sea manganese nodule grasping behavior by a manipulator, a novel approach employing an improved YOLOv5 algorithm is proposed for the extraction of the shortest paths to manganese nodules targeted by the manipulator. The loss function of YOLOv5s has been improved by integrating a dual loss function that combines IoU and NWD, resulting in better accuracy for loss calculations across different target sizes. Additionally, substituting the initial C3 module in the network backbone with a C2f module is intended to improve the flow of gradient information while reducing computational demands. Once the geometric center of the manganese nodules is identified with the improved YOLOv5 algorithm, the next step involves planning the most efficient route for the manipulator to pick up the nodules using an upgraded elite strategy ant colony algorithm. Enhancements to the ACO algorithm consist of implementing an elite strategy and progressively decreasing the number of ants in each round. This method reduces both the number of iterations and the time required for each iteration, while also preventing the occurrence of local optimal solutions. The experimental findings indicate that the improved YOLOv5s detection algorithm boosts detection accuracy by 2.3%. Furthermore, when there are fewer than 30 target planning points, the improved algorithm requires, on average, 24% fewer iterations than the ACO algorithm to determine the shortest path. Additionally, the speed of calculation for each iteration is quicker while still providing the optimal solution.
Six Species of Phyllachora with Three New Taxa on Grass from Sichuan Province, China
Authors: Sun Qi-Rong , Xu Xiu-Lan , Zeng Zhen , Deng Yu , Liu Feng , Gao Li-Ping , Wang Fei-Hu , Yan Ya-Qian , Liu Ying-Gao , Yang Chun-Lin
Published: August 2024

Phyllachora (Phyllachoraceae, Phyllachorales) species are parasitic fungi with a wide global distribution, causing tar spots on plants. In this study, we describe three newly discovered species: Phyllachora chongzhouensis, Phyllachora neidongensis, and Phyllachora huiliensis from Poaceae in China. These species were characterized using morphological traits and multi-locus phylogeny based on the internal transcribed spacer region (ITS) with the intervening 5.8S rRNA gene, the large subunit of the rRNA gene (LSU), and the 18S ribosomal RNA gene (SSU). Three known species of P. chloridis, P. graminis, and P. miscanthi have also been redescribed, because, in reviewing the original references of P. chloridis, P. graminis, and P. miscanthi, these were found to be relatively old and in Chinese or abbreviated. In addition, the illustrations were simple. In molecular identification, the ITS sequence is short, while the ITS, LSU, and SSU are incomplete. Therefore, this study provides new important references for the redescription of three known species and provides further evidence for the identification of new taxa.
Text Mining to Understand Disease-Causing Gene Variants
Authors: Nezamuldeen Leena , Jafri Mohsin Saleet
Published: August 2024

Variations in the genetic code for proteins are considered to confer traits and underlying disease. Identifying the functional consequences of these genetic variants is a challenging endeavor. There are online databases that contain variant information. Many publications also have described variants in detail. Furthermore, there are tools that allow for the prediction of the pathogenicity of variants. However, navigating these disparate sources is time-consuming and sometimes complex. Finally, text mining and large language models offer promising approaches to understanding the textual form of this knowledge. This review discusses these challenges and the online resources and tools available to facilitate this process. Furthermore, a computational framework is suggested to accelerate and facilitate the process of identifying the phenotype caused by a particular genetic variant. This framework demonstrates a way to gather and understand the knowledge about variants more efficiently and effectively.
Use of Patterns of Service Utilization and Hierarchical Survival Analysis in Planning and Providing Care for Overdose Patients and Predicting the Time-to-Second Overdose
Authors: Bambi Jonas , Olobatuyi Kehinde , Santoso Yudi , Sadri Hanieh , Moselle Ken , Rudnick Abraham , Dong Gracia Yunruo , Chang Ernie , Kuo Alex
Published: August 2024

Individuals from a variety of backgrounds are affected by the opioid crisis. To provide optimal care for individuals at risk of opioid overdose and prevent subsequent overdoses, a more targeted response that goes beyond the traditional taxonomical diagnosis approach to care management needs to be adopted. In previous works, Graph Machine Learning and Natural Language Processing methods were used to model the products for planning and evaluating the treatment of patients with complex issues. This study proposes a methodology of partitioning patients in the opioid overdose cohort into various communities based on their patterns of service utilization (PSUs) across the continuum of care using graph community detection and applying survival analysis to predict time-to-second overdose for each of the communities. The results demonstrated that the overdose cohort is not homogeneous with respect to the determinants of risk. Moreover, the risk for subsequent overdose was quantified: there is a 51% higher chance of experiencing a second overdose for a high-risk community compared to a low-risk community. The proposed method can inform a more efficient treatment heterogeneity approach for a cohort made of diverse individuals, such as the opioid overdose cohort. It can also guide targeted support for patients at risk of subsequent overdoses.
Spatio-Temporal Changes and Driving Mechanisms of Vegetation Net Primary Productivity in Xinjiang, China from 2001 to 2022
Authors: Xu Qiuxuan , Li Jinmei , Zhang Sumeng , Yuan Quanzhi , Ren Ping
Published: August 2024

Net primary productivity (NPP), a key indicator of terrestrial ecosystem quality and function, represents the amount of organic matter produced by vegetation per unit area and time. This study utilizes the MOD17A3 NPP dataset (2001–2022) to analyze the spatio-temporal dynamics of NPP in Xinjiang and projects future trends using Theil-Sen trend analysis, the Mann–-Kendall test, and the Hurst Index. By integrating meteorological data, this study employs partial correlation analysis, the Miami model, and residual analysis to explore the driving mechanisms behind NPP changes influenced by climatic factors and human activities. The results indicate that: (1) The average NPP in Xinjiang has increased over the years, displaying a spatial pattern with higher values in the north and west. Regions with increasing NPP outnumber those with declining trends, while 75.18% of the area shows un-certain future trends. (2) Precipitation exhibits a stronger positive correlation with NPP compared to temperature. (3) Climate change accounts for 28.34% of the variation in NPP, while human activities account for 71.66%, making the latter the dominant driving factor. This study aids in monitoring ecological degradation risks in arid regions of China and provides a scientific basis for developing rational coping strategies and ecological restoration initiatives.
Continuous Decline in Direct Incomes for Farmers Threatens the Sustainability of the Grain for Green Project
Authors: Li Luqian , Hua Xiaobo , Zhao Guangshuai , Xu Erqi
Published: August 2024

Understanding the impacts of ecological projects on household livelihoods is important in ensuring their sustainability. However, existing studies typically cover only a limited, discrete temporal point. Insufficient study duration makes it difficult to determine the full impact and dynamics of a project, affecting the veracity of the results. Representing one of the world’s largest investments in an ecosystem service programs, the Grain for Green Project (GGP) has an objective of increasing household incomes. Using data from 7112 questionnaires collected through 12 consecutive years (2007–2018) of field survey monitoring, this study examined the long-term impacts of the GGP on household livelihoods in the Beijing–Tianjin Sandstorm Source Control Project area through comparisons between participant households (PHs) and non-participant households (NPHs). The results show that GGP subsidies significantly increased household incomes only during the period 2007–2015, and their share of total household income decreased from 9.21% in 2007 to 1.62% in 2018. Subsidies for GGP cannot compensate farmers for losses due to the reduction in farmland. The above findings suggest that the effect of subsidies diminishes over time. Increased investment in jobs and skills training is needed to consolidate the GGP results. This provides new perspectives and empirical support for the study of international ecological compensation policies and sustainable development.
Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran
Authors: Khosravani Pegah , Baghernejad Majid , Taghizadeh-Mehrjardi Ruhollah , Mousavi Seyed Roohollah , Moosavi Ali Akbar , Fallah Shamsi Seyed Rashid , Shokati Hadi , Kebonye Ndiye M. , Scholten Thomas
Published: August 2024

(1) Background: The use of multiscale prediction or the optimal scaling of predictors can enhance soil maps by applying pixel size in digital soil mapping (DSM). (2) Methods: A total of 200, 50, and 129 surface soil samples (0–30 cm) were collected by the CLHS method in three different areas, namely, the Marvdasht, Bandamir, and Lapuee plains in southwest Iran. Then, four soil properties—soil organic matter (SOM), bulk density (BD), soil shear strength (SS), and mean weighted diameter (MWD)—were measured at each sampling point as representative attributes of soil physical and chemical quality. This study examined different-scale scenarios ranging from resampling the original 30 m digital elevation model and remote sensing indices to various pixel sizes, including 60 × 60, 90 × 90, 120 × 120, and up to 2100 × 2100 m. (3) Results: After evaluating 22 environmental covariates, 11 of them were identified as the most suitable candidates for predicting soil properties based on recursive feature elimination (RFE) and expert opinion methods. Furthermore, among different pixel size scenarios for SOM, BD, SS, and MWD, the highest accuracy was achieved at 1200 × 1200 m (R2 = 0.35), 180 × 180 m (R2 = 0.67), 1200 × 1200 m (R2 = 0.42), and 2100 × 2100 m (R2 = 0.34), respectively, in Marvdasht plain. (4) Conclusions: Adjusting the pixel size improves the capture of soil property variability, enhancing mapping precision and supporting effective decision making for crop management, irrigation, and land use planning.
Impact of Industrial Intelligence on China’s Urban Land Green Utilization Efficiency
Authors: Zhao Chunyan , Wang Linjing , Zhou Chaobo
Published: August 2024

Against the backdrop of the fourth technological revolution, industrial intelligence (INDI) represented by industrial robots has rapidly developed. This evolution provides favorable opportunities for precise decision-making in pollution control and achieving China’s “dual carbon” goals. Previous studies have mainly discussed the economic effects of INDI from the perspective of the labor market. This study shifts its focus to examining the impact of INDI on the land green utilization efficiency (LGUE) in cities. Using the panel data of Chinese cities spanning 2009–2021, this study empirically tests the effect and transmission mechanism of INDI on LGUE. We find that urban INDI significantly enhances LGUE. In terms of its transmission mechanism, INDI drives improvements in urban LGUE through technological progress, energy structure optimization, and industrial structure upgrading. Urban infrastructure construction and financial agglomeration level can further strengthen the positive impact of INDI on LGUE. In addition, the improvement in LGUE due to INDI is more significant in non-resource-based and large-sized cities than resource-based and small and medium-sized cities. Therefore, each region should enhance the integration of intelligent technology with traditional industrial manufacturing. Doing so is essential to establish comprehensive assessment indicators that balance environmental protection and economic growth, strengthen regional information infrastructure construction, ensure steady financial flow, and support green development initiatives across regions.
Progress in Remote Sensing and GIS-Based FDI Research Based on Quantitative and Qualitative Analysis
Authors: Li Zifeng
Published: August 2024

Foreign direct investment (FDI) by transnational companies (TNCs) is the primary indicator of urban globalization. The initial publication on the topic of remote sensing and geographic information system-based urban globalization research was published in 1981. However, the number of publications on this topic remains relatively limited. Despite some advances in the field in recent decades, there is currently no comprehensive review of related research, and it is not clear how the different perspectives and views have been developed. Furthermore, previous literature reviews on the utilization of remote sensing and GIS technology in urban development have predominantly employed quantitative methodologies, which has resulted in a paucity of qualitative analysis. In order to address these shortcomings, this paper employs a mixed-methods approach, integrating quantitative and qualitative analyses. This entails the utilization of a combination of the scientometric method and a qualitative literature review method. The findings are as follows: (1) The number of publications is still relatively limited, and research in this area is still in its infancy. (2) Some of the articles are evidently interdisciplinary in nature. (3) Progress has been made in terms of geographic visualization of FDI, macro-environmental research at different scales, global value chains, the micro-geography of TNCs, and globalization of the geo-information industry. (4) The spatial and temporal development pattern, location, and accessibility of FDI have constituted a significant area of research interest in the past. Similarly, the relationships between FDI and regional development, urban growth, land use, and environmental change have emerged as prominent research directions. China’s Belt and Road Initiative is an emerging popular topic. (5) In recent years, there has been a notable increase in the number of papers employing multi-source data and multi-method approaches. (6) The extent of research collaborations between countries is relatively limited, with the majority of such collaborations occurring within the past five years. Finally, based on these research findings, this paper suggests future research directions.
Preserving the Latvian Language Abroad: Personal Narratives and Institutional Support
Authors: Balodis Pauls
Published: August 2024

Despite the widespread distribution of Latvians globally, the importance of heritage language for cultural connectivity remains underexplored. This study explores the preservation of the Latvian language among diaspora communities, employing linguistic autoethnography, participant observation, and communication analysis to examine the interplay between individual experiences and institutional support in maintaining cultural identity. Drawing from the author’s bilingual Latvian–Lithuanian background and based on the example of a mixed Latvian–Lithuanian family living in Finland, the study highlights the role of the family strategy in using languages at home, the role of grandparents, as well as heritage tourism, music, and arts in strengthening cultural ties. Through linguistic autoethnography, the article captures the essence of personal and collective efforts to sustain the Latvian language. Participant observation in diasporan activities and analysis of communicative practices reveal how diasporan Latvians actively engage in preserving their linguistic heritage. The Latvian Language Agency’s initiatives, including supporting language schools abroad, publishing educational resources, and organizing summer camps, are critically examined. The study advocates for a unified approach that combines personal commitment and structured support, emphasizing the crucial role of both in the vibrancy of the Latvian language abroad.
Parallelisms between Verb–Particle Constructions in English and Verb–Verb Compounds in Japanese: Evidence from Acquisition Research
Authors: Kido Yasuhito
Published: August 2024

This study shows two parallelisms between (i) the acquisition process of English verb–particle constructions (VPCs) by children in the process of acquiring English as a native language (henceforth ENL children) and (ii) that of Japanese verb–verb compounds (VVCs) by children in the process of acquiring Japanese as a native language (henceforth JNL children) using the CHILDES database. First, both JNL and ENL children produce creative N–N compounds and complex predicates during the same period, in line with the proposal by Snyder that the Compounding Parameter (TCP) is set to positive for both Japanese and English languages. Second, particles or verbs which are used to represent the path of motion in English VPCs and Japanese VVCs are produced before the VPCs and VVCs they are used in because complex predicates are created by the combination of two or more constituents, such as verbs and particles. Thus, our findings corroborate the proposal that Japanese is a [+TCP] language and suggest that Japanese makes use of VVCs instead of VPCs. Furthermore, this parallelism observed among ENL and JNL children in the acquisition process of creative N–N compounds and VPCs/VVCs, respectively, suggests that English VPCs and Japanese VVCs are related expressions in a grammatical sense. This in turn implies that VPCs and VVCs are connected by more than their semantics; indeed, it implies that they are realizational variations of the same abstract linguistic structure.
Theoretical and Experimental Investigation of a Novel Wedge-Loading Planetary Traction Drive
Authors: Jiang Yujiang , Wang Guangjian
Published: August 2024

The development of high-speed motors has stimulated the demand for high-speed reducers. In response to the lack of research on high-speed reducers and the challenge of developing high-speed transmission systems, this study proposes a novel wedge-loading planetary traction drive (WPTD). First, a more accurate theoretical analysis model is established by considering the combined effects of elastic deformation, loading state, and a elastohydrodynamic lubrication (EHL) traction mechanism. Second, the mixed thermal EHL model is introduced into the performance analysis of traction drive for the first time. The fitting formulas for predicting traction contact behavior are derived, and a performance analysis method for all line-contact traction drives is presented. Third, the loading performance, transmission characteristics, and the influence of different parameters on the transmission characteristics of WPTD are analyzed. Finally, the theoretical model is validated by prototype performance tests. The results show that the loading mechanism demonstrates a good self-adaptive loading effect, and WPTD achieves a peak efficiency of 96%. Additionally, WPTD delivers superior efficiency and vibration and noise performance because of its smooth power-transfer characteristics, thereby providing a possible solution for high-speed and low-vibration transmissions.
A High-Speed Train Axle Box Bearing Fault Diagnosis Method Based on Dimension Reduction Fusion and the Optimal Bandpass Filtering Demodulation Spectrum of Multi-Dimensional Signals
Authors: Wang Zhongyao , Zheng Zejun , Song Dongli , Xu Xiao
Published: August 2024

The operating state of axle box bearings is crucial to the safety of high-speed trains, and the vibration acceleration signal is a commonly used bearing-health-state monitoring signal. In order to extract hidden characteristic frequency information from the vibration acceleration signal of axle box bearings for fault diagnosis, a method for extracting the fault characteristic frequency based on principal component analysis (PCA) fusion and the optimal bandpass filtered denoising signal analytic energy operator (AEO) demodulation spectrum is proposed in this paper. PCA is used to measure the dimension reduction and fusion of three-direction vibration acceleration, reducing the interference of irrelevant noise components. A new type of multi-channel bandpass filter bank is constructed to obtain filtering signals in different frequency intervals. A new, improved average kurtosis index is used to select the optimal filtering signals for different channel filters in a bandpass filter bank. A dimensionless characteristic index characteristic frequency energy concentration coefficient (CFECC) is proposed for the first time to describe the energy prominence ability of characteristic frequency in the spectrum and can be used to determine the bearing fault type. The effectiveness and applicability of the proposed method are verified using the simulation signals and experimental signals of four fault bearing test cases. The results demonstrate the effectiveness of the proposed method for fault diagnosis and its advantages over other methods.
Reverse Thinking Approach to Deceptive Path Planning Problems
Authors: Chen Dejun , Yin Quanjun , Xu Kai
Published: August 2024

Deceptive path planning (DPP) aims to find routes that reduce the chances of observers discovering the real goal before its attainment, which is essential for addressing public safety, strategic path planning, and preserving the confidentiality of logistics routes. Currently, no single metric is available to comprehensively evaluate the performance of deceptive paths. This paper introduces two new metrics, termed “Average Deception Degree” (ADD) and “Average Deception Intensity” (ADI) to measure the overall performance of a path. Unlike traditional methods that focus solely on planning paths from the start point to the endpoint, we propose a reverse planning approach in which paths are considered from the endpoint back to the start point. Inverting the path from the endpoint back to the start point yields a feasible DPP solution. Based on this concept, we extend the existing πd1~4 method to propose a new approach, e_πd1~4, and introduce two novel methods, Endpoint DPP_Q and LDP DPP_Q, based on the existing DPP_Q method. Experimental results demonstrate that e_πd1~4 achieves significant improvements over πd1~4 (an overall average improvement of 8.07%). Furthermore, Endpoint DPP_Q and LDP DPP_Q effectively address the issue of local optima encountered by DPP_Q. Specifically, in scenarios where the real and false goals have distinctive distributions, Endpoint DPP_Q and LDP DPP_Q show notable enhancements over DPP_Q (approximately a 2.71% improvement observed in batch experiments on 10 × 10 maps). Finally, tests on larger maps from Moving-AI demonstrate that these improvements become more pronounced as the map size increases. The introduction of ADD, ADI and the three new methods significantly expand the applicability of πd1~4 and DPP_Q in more complex scenarios.