bluuebunny/crossref_metadata_2025_split huggingface dataset:
GGE Biplot Analysis for Cane Yield and Sugar Yield in Advanced clones of Sugarcane (Saccharum sp. complex)
Authors: Chaudhary Divya , Jeena Anand Singh , Singh Narendra Kumar , Pant Usha , Rohit Rohit , Gaur Sonali 
Published: July 2023

Abstract

The present investigation was taken up to study the G×E interaction and stability analysis by GGE biplot method in fourteen sugarcane clones during 2020-21 and 2021-22 at four different locations namely Pantnagar, Kashipur, Dhanauri (Haridwar) and Dhakrani (Dehradun) for CY and SY at the 10-month and 12-month stages. The combined ANOVA revealed significant differences among the clones, environments and their interactions for CY and SY at both stages, revealed presence of sufficient variability in the materials being studied. To analyze the stability of genotype and G×E interaction studies, the GGE biplot method was employed. The first two PCs explained 77.94% for CY (PC1 = 63.01%, PC2 = 14.93%), 74.4% for SY at the 10-month stage (PC1 = 55.64%, PC2 = 18.76%), and 81.01% for SY at 12-month stage (PC1 = 63.64%, PC2 = 17.37%) of the total variation of the GGE model. GGE biplot "which-won-where" revealed genotypes G2, G4, G6, and G7 were found to be ideal genotypes for CY as well as SY at the 10-month and 12-month stages. Based on the "discrimination vs representativeness" GGE biplot, E4 and E2 were identified as ideal test environments for selecting widely and specifically adapted genotypes, respectively, for CY and SY at the 10-month as well as 12-month stages. The clones showed crossover G×E interaction for the SY at the 10-month stage. The "mean vs stability" GGE biplot revealed that G6 had high mean and stability for CY and SY at both stages.
Exploring the Relationship of Smartphone Addiction on Attention Deficit, Hyperactivity Symptoms, and Sleep Quality among University Students: A Cross-Sectional Study
Authors: Zeyrek İbrahim , Tabara Muhammed Fatih , Çakan Mahmut 
Published: July 2023

Abstract
Background
The prevalence of smartphone usage is steadily rising, leading to the potential development of addiction due to problematic use. This study examined the relationship between smartphone addiction, self-perceived attention deficit and hyperactivity symptoms, and sleep quality among 443 university students at Bingöl University.
Methods
Participants completed several questionnaires, including the Smartphone Addiction Scale-Short Version (SAS-SV), the Pittsburgh Sleep Quality Index (PSQI), and the Adult ADHD Self-Report Scale (ASRS-v1.1).
Results
This study examined 443 participants, with a mean age of 20.97 ± 3.29, of whom 72.7% (n = 322) were female. The aim was to explore the relationship between smartphone usage patterns and sleep quality. Results showed that the majority of participants primarily used smartphones (94.8%, n = 420) for social media browsing (49.9%, n = 221). Factors such as smoking, preference for smartphone screens, and prolonged screen exposure significantly affected sleep quality. Smartphone addiction rates were notable, with 50.4% (n = 61) of males and 47.2% (n = 152) of females being affected, and this addiction was associated with poorer sleep quality. Correlations were found between age, sleep duration, and scores on smartphone addiction, sleep quality, and attention deficit scales. Linear regression analysis revealed that age, attention deficit scores, and sleep quality scores significantly influenced levels of smartphone addiction.
Conclusions
These findings contribute valuable insights into the impact of smartphone addiction on attention and sleep in university students.
Violation of Bell inequality by photon scattering on a two-level emitter
Authors: Liu Shikai , Sandberg Oliver , Chen Ming Lai , Schrinski Bjorn , Anyfantaki Yiouli , Nielsen Rasmus , Larsen Robert , Skalkin Andrei , Wang Ying , Midolo Leonardo , Scholz Sven , Wieck Andreas , Ludwig Arne , Sørensen Anders , Tiranov Alexey , Lodahl Peter 
Published: July 2023

Abstract

Entanglement, the non-local correlations present in multipartite quantum systems, is a curious feature of quantum mechanics and the fuel of quantum technology. It is therefore a major priority to develop energy-conserving and simple methods for generating high-fidelity entangled states. In the case of light, entanglement can be realized by interactions with matter, although the required nonlinear interaction is typically weak, thereby limiting its applicability. Here, we show how a single two-level emitter deterministically coupled to light in a nanophotonic waveguide is used to realize genuine photonic quantum entanglement for excitation at the single photon level. By virtue of the efficient optical coupling, two-photon interactions are strongly mediated by the emitter realizing a giant nonlinearity that leads to entanglement. We experimentally generate and verify energy-time entanglement by violating a Bell inequality (Clauder-Horne-Shimony-Holt Bell parameter of S = 2.67(16)>2) in an interferometric measurement of the two-photon scattering response. As an attractive feature of this approach, the two-level emitter acts as a passive scatterer initially prepared in the ground state, i.e., no advanced spin control is required. This experiment is a fundamental advancement that may pave a new route for ultra-low energy-consuming synthesis of photonic entangled states for quantum simulators or metrology.
Breaking Barriers in Candida spp. Detection: Harnessing Electronic Noses and AI for Swift Diagnosis
Authors: Bastos Michael L. , de Lima Maria Andressa N. , Benevides Clayton A. , Zanchettin Cleber , Menezes Frederico D. , Inácio Cícero P. , Filho José Gilson A. T. , Neves Rejane P. , Almeida Leandro M. , Neto Reginaldo G. de Lima 
Published: July 2023

Abstract
The timely and accurate diagnosis of candidemia, a severe bloodstream infection caused by Candida spp., remains challenging in clinical practice. Blood culture, the current gold standard technique, suffers from lengthy turnaround times and limited sensitivity. To address these limitations, we propose a novel approach utilizing an Electronic Nose (E-nose) combined with Time Series-based classification techniques to analyze and identify Candida spp. rapidly from blood, using culture species of C. albicans, C.kodamaea ohmeri, C. glabrara, C. haemulonii, C. parapsilosis e C. krusei as control samples. This innovative method not only enhances diagnostic accuracy and reduces decision time for healthcare professionals in selecting appropriate treatments but also offers the potential for expanded usage and cost reduction due to the E-nose’s low production costs. Our experimental results demonstrate promising outcomes, with the Inception Time classifier achieving an impressive average accuracy of 97.46% during the test phase. This paper presents a groundbreaking advancement in the field, empowering medical practitioners with an efficient and reliable tool for early and precise identification of candidemia, ultimately leading to improved patient outcomes.
Selection and verification of rock-like materials for the Tongzi tunnel envelope
Authors: Chen Qingzhi , Liu Yuanming , Zhang Quan , Ou Xun , Teng Zhaolei , Li Yingxiao 
Published: July 2023

Abstract
This study will combine the detailed geological survey report of Tongzi Tunnel and the monitoring and measurement data of the site to select the surrounding rock section with rich structural surface and extensive distribution of medium-weathered mudstone and medium-weathered tuff as the representative section, drill cores to make natural rock specimens, and conduct uniaxial compression test. The Hoek-Brown criterion was then used to predict the rock strength of the tunnel envelope in the representative section, and based on this predicted strength a cement mortar with a mass ratio of water: cement: sand = 1:2:3 was selected to make specimens of the rock-like material. After the fabrication of the specimens, the reliability and feasibility of subsequent studies with the rock-like materials used in this study were supplemented by various means. The validation process is mainly to compare the rock-like material specimens with the natural rock specimens collected in the field and the rock-like material specimens recently adopted by other scholars in the following aspects. (1) Comparison of basic mechanical parameters. (2) The damage patterns and crack expansion patterns of natural rock material specimens and rock-like material specimens during uniaxial compression tests were compared by combining acoustic emission techniques and DIC2D-related techniques. (3) Tests were performed using scanning electron microscope (SEM) and energy dispersive spectroscopy (EDS) to compare the microscopic particle and pore sizes of the two specimens. (4) The measured mechanical parameters of the rock-like material specimens were compared with those of the rock-like material specimens used in similar related studies. Through the verification of these four approaches, it was finally proved that the cement mortar with the mass matching ratio of water: cement: sand = 1:2:3 used in this study can be used as a rock-like material to make models to study the mechanical properties of the rock in the tunnel instead of the natural rock.
Molecular Detection of Trypanosomes and Xenomonitoring of Host Range from the Feeding Patterns of Glossina Species Collected from Northern Guinea Savannah of Nigeria
Authors: Amos Grace Amarachi , Signaboubo Djoukzoumka , Ndams Iliya Shehu , Chechet Gloria Dada , Shuaibu Mohammed Nasir , Ibrahim Mahamat Alhadj Moussa , Mfopit Youssouf Mouliom , Tamuton Atoh Cedric Munu , Kelm Sørge , Berger Petra 
Published: July 2023

Abstract
Background
Trypanosomiasis is a vector-borne protozoan disease that is widespread in sub-Saharan Africa. In Nigeria, efforts to control trypanosomiasis include vector control, diagnosis, and treatment of the infection. These efforts exclude actions targeting reservoir hosts. This study was therefore undertaken to address these epidemiological and surveillance gaps.
Methods
For this purpose, Glossina species were trapped at Ijah Gbagyi and Yankari Games Resort. The hunger stage of the 220 dissected flies was categorised, blood meal was determined by COI and Cyt b gene tests. Trypanosomes were identified from samples taken from Glossina species flies. Trypanosomes were identified from the proboscis, salivary glands and midgut of tsetse flies from which the blood meal was obtained by amplifying the ITS1 rDNA gene.
Results
The results indicate a hunger stage of 2.72%, 34.09%, 63.18% for engorged, intermediate and starved flies respectively. The dominant host of Glossina palpalis palpalis was man, cattle, bird, squirrel, chimpanzee, bush pig and monitor lizard. Glossina morsitans submorsitans (man, bush pig, rat, buffalo, gazelle and guinea pig) and Glossina tachinoides (buffalo, warthog, antelope and guinea pig). Overall infection rates of Trypanosoma vivax (20.6%), Trypanosoma grayi (37.1%), Trypanosoma theleri (29.8%), Trypanosoma brucei spp. (3.1%) and Trypanosoma congolense (9.2%) were recorded.
Conclusion
These results suggest that wild animals acting as reservoir hosts are the source of the Trypanosoma species transmitted by Glossina.
Enhancing the accuracy of digital soil mapping using the surface and subsurface soil characteristics as continuous diagnostic layers
Authors: Osat Maryam , Heidari Ahmad , Fatehi Shahrokh 
Published: July 2023

Abstract
Digital soil mapping relies on relating soils to a particular set of covariates, which capture inherent soil spatial variation. In digital mapping of soil classes, the most commonly used covariates are topographic attributes, RS attributes, and maps, including geology, geomorphology, and land use, in contrast, the subsurface soil characteristics are usually ignored. Therefore, we investigate the possibility of using soil diagnostic characteristics as covariates in a mountainous landscape as the main aim of this study. Conventional covariates (CC) and a combination of soil covariates with conventional covariates (SCC) were used as covariates, and random forest (RF), Multinomial Logistic Regression (LR), and C5.0 Decision Trees (C5) were used as different machine learning algorithms in digital mapping of soil family classes. Based on the results, the RF model with the SCC dataset had the best performance (KC = 0.85, OA = 90). In all three models, adding soil covariates to the sets of covariates increased the model performance. Soil covariates, slope, and aspect, were selected as the principal auxiliary variables in describing the distribution of soil family classes.
Self-assembled AgNCs with United Umbilical Mesenchymal Stem Cell-Derived Exosome-Repair in Spinal Cord Injury Rats
Authors: Yue Qianwen , Chen Jixiang , Cai Wang , Wan Huiyu , xin Dongyuan , Wang Ying , Wu Jingguo , Sun Jingyi 
Published: July 2023

Abstract
Spinal cord injury (SCI) is a complex process that causes sensory and functional motor deficits, neuronal apoptosis, increased glial scarring, and an inflammatory environment, which is permanent damage. As a therapeutic cell, exosomes can penetrate the blood-brain barrier, regulate inflammation and immune response, inhibit apoptosis, and maintain the blood-spinal cord barrier by promoting angiogenesis and axon outgrowth, promoting the recovery of spinal cord function in rats, is a potential method for the treatment of motor and sensory function in SCI rats, and has attracted much attention in many disease fields. To find a new method for the treatment of spinal cord injury, we choose the Surface enhancement Raman (SERS) and cultured mesenchymal stem cells to obtain exosomes (uMSCEXOs), and then injected them into the injured rats through the tail vein, through observed the damaged parts of the spinal cord of the rats at different time points changes in tissue morphology, changes in inflammatory factors after injury, through the ELISA and SERS detection confirmed the Exos group rats showed high expression of inhibitory inflammatory factor IL-10 and decreased expression of inflammatory factor TNF-α after injury. After damage, the number of neurons in rats treated with exosomes increased. Exosomes will help expand the prospects of umbilical cord mesenchymal stem cells in injury regeneration and repair.
Performance comparison of 2D mono-elemental (X-enes) armchair nanoribbon Schottky barrier Field Effect Transistors
Authors: Junghare Rajesh C. , Patil Ganesh 
Published: July 2023

Abstract

In this work, comprehensive analysis of Schottky barrier (SB) field effect transistors (FETs) having 2D mono-elemental (X-enes) nanoribbon (NR) with width of 10 dimers along the armchair direction as a channel material has been carried out. The multi-scale approach used for simulating the hydrogen passivated X-ene NR SBFETs consists of density functional theory (DFT), Wannier function based tight binding and the non-equilibrium Green’s Function formalism (NEGF). The derived bandgaps for X-enes such as graphene, germanene, phosphorene and silicene are 1.27, 0.379, 1.036 and 0.431 eV respectively. To incorporate the effect of band-bending at the metal-X-ene interface the modification in the conventional multi-scale approach has also been proposed. To mimic the effect of band bending at metal-X-ene interface the schemes proposed in the model are, addition of equivalent channel potential energy in the Hamiltonian matrix and the addition of fixed charges in initial charge profile. Further, the impact of SB width, Fermi level pinning and the scattering on the device performance has also been explored. The results show that the on-state drive current-to-off-state leakage current ratio in the case of graphene and phosphorene SBFETs is up-to the order ~107 whereas for silicene and germanene SBFETs it is in the order of ~103.
Exploring the Burden of Chronic Musculoskeletal Pain in Immigrant Populations: A Scoping Review
Authors: Tsetseri Maria-Nefeli , Keene David J. , Silman Alan J. , Dakin Stephanie G. 
Published: July 2023

Abstract
This review investigates the burden, prevalence, and associated factors of chronic musculoskeletal pain in immigrants in Europe during the last decade with a focus on immigrants from North Africa and the Middle East. The intentions of the review are to inform healthcare policymakers, to identify gaps in the literature, and aid the planning of future research. Eleven observational studies were identified using online databases. Data suggest that chronic pain is more prevalent, more widespread, and more severe in immigrants, and that chronic pain deteriorates with length of stay in the destination country. Immigrant women were identified as a particularly vulnerable group for developing chronic pain and comorbid mental health disorders. Older age, lower education, financial hardship, being underweight or obese, time in transit during migration, experience of trauma, and immigration status were also associated with chronic pain. Anxiety, depression, and post-traumatic stress disorder diagnoses were also more prevalent in immigrants and were significantly associated with chronic pain. Several gaps in the literature were identified: research is limited in terms of quantity and quality, does not reflect actual immigration trends, and does not account for immigration factors.
How intense exercise performed in two different training phases affects elite rowers' intestinal permeability
Authors: Dziewiecka Hanna , Kasperska Anna , Ostapiuk–Karolczuk Joanna , Cichoń-Woźniak Justyna , Basta Piotr , Skarpańska-Stejnborn Anna 
Published: July 2023

Abstract
Background: The study aimed to check the effect of the 2000m ergometer test on the gut permeability in elite rowers in two different phases of sport training. As an inflammatory marker during the competitive phase is higher, we hypothesize that markers of intestinal permeability will also be more elevated in that phase.
Methods: The study was performed during an annual preparation and competitive phase of training. Ten elite rowers of the Polish Rowing Team after applying the inclusion/exclusion criteria participated in the study. In both periods, the participants performed a 2000m ergometer test. Each time the blood samples were taken in the schedule: pre-, post-, and 1-hour post-exercise. Il-6, I-FABP, LPS, LBP, and zonulin levels were measured.
Results: There were significantly lower values of I-FABP and IL-6 observed in Post-exercise time in Test II compared to Test I. The resting value of LPS was significantly lower in Test II compared to Test I. Also, resting levels of LBP and zonulin were lower in Test II, but the differences were not significant.
Conclusions: Changes in gut permeability markers after extreme exercise tests may be the results of adaptive mechanisms occurring, indicating that rationally conducted training significantly decreases intestinal permeability. The ability of the gut to adapt to high levels of performance is crucial for the elite athlete.
The causal association between primary aldosteronism and cardiovascular diseases: a bidirectional two-sample Mendelian randomization study
Authors: Shi Qiuyue , Zhang Min , Li Xin , Chen Jie , Du Qiu , Chen Yueming , Zhou Lin , Zhao Hong , Wang Ling , Mao Min , Chang Jing 
Published: July 2023

Abstract
Background
Many previous observational studies have shown that primary aldosteronism (PA) can increase the risk of cardiovascular diseases (CVDs), but the causal relationship is unclear.
Methods
We performed a bidirectional two-sample Mendelian randomization (MR) analysis to explore the causal association between PA and CVDs using summary statistics from the large publicly accessible genome-wide association study (GWAS) of PA (Ncases=1,724, Ncontrols=4,246) as well as six types of CVDs. Moreover, the inverse variance weighted (IVW) was used as the main method in MR analysis, and sensitivity analysis was further performed.
Results
Our results from the IVW analysis showed that genetically predicated PA conferred an increased risk of heart failure [odds ratio (OR) = 1.027, 95% confidence interval (CI): 1.013–1.041, p = 1.452×10− 4], atrial fibrillation (OR = 1.066, 95%CI: 1.051–1.082, p = 2.835×10− 17), hypertension (OR = 1.163, 95%CI: 1.105–1.223, p = 4.752×10− 9), coronary artery disease (OR = 1.032, 95%CI: 1.022–1.043, p = 1.664×10− 9), stroke (OR = 1.060, 95%CI: 1.044–1.075, p = 2.270×10− 15), myocardial infarction (OR = 1.020, 95%CI: 1.001–1.039, p = 0.044). However, with the exception of hypertension (OR = 3.316, 95%CI: 1.347–8.159, p = 0.009), CVDs leading to PA were not confirmed in reverse causality analysis. The sensitivity analysis showed the robustness of the results.
Conclusion
It is confirmed from the genetic level that there is a causal relationship between PA and CVDs and also confirmed that PA and hypertension are mutually causal. Our work highlights the necessity of routine screening, diagnosis and treatment of PA.
Mindfulness-based mobile apps and university students’ social anxiety, loneliness and Well-being: Students’ Perceptions of the Mindfulness-based Treatment
Authors: Sun Li 
Published: July 2023

Abstract
The increasing use of digital technologies in daily life has led to a growing number of studies in the field of digital psychology. While research in this area has provided valuable insights into the potential benefits and drawbacks of digital technologies for mental health and well-being, there is still much to be learned about the complex relationship between technology and psychology. This study aimed to investigate the effects of mindfulness-based mobile apps on university students' anxiety, loneliness, and well-being. It also explored the participants’ perceptions of the addictiveness of mindfulness-based mobile apps. The study used a multi-phase research design consisting of a correlational research method, a pretest-posttest randomized controlled trial, and a qualitative case study. Three subsets of participants were selected for each phase: correlations (n = 300), treatment (n = 60), and qualitative (n = 20). Data were collected from various sources, including the social anxiety scale, well-being scale, social media use integration scale, and interview checklist. Pearson correlation, multiple regression, and t-tests were used to analyze the quantitative data, while thematic analysis was used for the qualitative data. The results confirmed a significant correlation between social media use and the study variables. The treatment also decreased students' anxiety and increased their well-being. The participants also had different positive perceptions of the use of mindfulness-based mobile apps. These findings have theoretical and practical implications for digital psychologists.