bluuebunny/crossref_metadata_2025_split huggingface dataset:
Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos
Authors: Chen Shijuan , Woodcock Curtis E , Saphangthong Thatheva , Olofsson Pontus 
Published: October 2023

Abstract
Although shifting cultivation is the major land use type in Laos, the spatial-temporal patterns and the associated carbon emissions of shifting cultivation in Laos are largely unknown. This study provides a nationwide analysis of the spatial-temporal patterns of shifting cultivation and estimations of the associated carbon emissions in Laos over the last three decades. This study found that shifting cultivation has been expanding and intensifying in Laos, especially in the last 5 years. The newly cultivated land from 2016 to 2020 accounted for 4.5% (±1.2%) of the total land area of Laos. Furthermore, the length of fallow periods has been continuously declining, indicating that shifting cultivation is becoming increasingly intensive. Combining biomass derived from Global Ecosystem Dynamics Investigation and shifting cultivation maps and area estimates, we found that the net carbon emissions from shifting cultivation declined in 2001–2015 but increased in 2016–2020. The largest carbon source is conversion from intact forests to shifting cultivation, which contributed to 89% of the total emissions from 2001 to 2020. In addition, there were increased emissions from intensified use of fallow lands. This research provides useful information for policymakers in Laos to understand the changes in shifting cultivation and improve land use management. This study not only supports Reducing Emissions from Deforestation and Forest Degradation reporting for Laos but also provides a methodology for tracking carbon emissions and removals of shifting cultivation.
Climate change increases the instability of the water supply for hydropower stations on the Tibetan Plateau
Authors: Hu Mao , Chen Youping , Chen Feng , Zhao Xiaoen , Yue Weipeng , Cao Honghua , Niu Junqiang , Wang Shijie , Yuan Yujiang 
Published: October 2023

Abstract
In recent decades, global warming has had a significant impact on the streamflow across the Tibetan Plateau. As the largest tributary in the upper reaches of the Yangtze River, the Yalong river is known for its abundant hydropower resources, and the world’s largest multi-energy complementary base has been built in the Yalong River Basin. However, prudent water resource planning is limited by the lack of long-term, detailed and reliable streamflow records over the Yalong river basin. Here, we develop an October–June streamflow reconstruction for the Yalong River, based on composite tree-ring chronology of Picea likiangensis from seven sampling sites. The reconstruction goes back to 1480 CE, and accounts for 46.5% of the instrumental streamflow variance during 1962–2012. This record indicates that the Interdecadal Pacific Oscillation and the Atlantic Multi-decadal Oscillation were the major contributing factors to streamflow variations. A significant and stable correlation with temperature was found over the past few centuries on the interannual scale. Projections suggest that future climate change may lead to more frequent flood disasters in the Yalong River Basin.
Quantum walks on simplexes and multiple perfect state transfer
Authors: Miki Hiroshi , Tsujimoto Satoshi , Zhao Da 
Published: October 2023

Abstract
In this paper, we study quantum walks on the extension of association schemes. Various state transfers can be achieved on these graphs, such as multiple state transfer among extreme points of a simplex, fractional revival on subsimplexes. Since only few examples of multiple (perfect) state transfer are known, we aim to make some additions in this collection.
Photoinitiated chemical vapor deposition (piCVD) of composition tunable, ionically conductive hydrogels on diverse substrates
Authors: Patamia Evan D , Andrew Trisha L 
Published: October 2023

Abstract
Ionically conductive hydrogels are finding prominence in a wide range of emerging devices and applications, including biopotential sensors, organic field effect transistors, biomedicine, and soft robotics. Traditionally, these gels are synthesized through solution-phase polymerization or solvent based swelling of a polymer network and then cast in place or adhered to an intended substrate after synthesis. These fabrication approaches place artificial limitations on the accessible chemical composition and ionic conductivity of the gels, and limit deployment of ionically conductive hydrogels in complex platforms. Here we present a modular method to create ionically conductive hydrogels on a variety of rigid, flexible, or filamentary substrates through a photoinitiated chemical vapor deposition (piCVD) process. First, a viscosity tunable precursor mixture of desired ionic composition and strength is created and coated onto a target substrate. Next, an acrylate film is grown directly on these coated substrates via piCVD. Since both the monomer and photoinitiator used during the piCVD process are miscible in the aqueous precursor mixture, polymerization occurs at both the surface of and within the precursor layer. Using this two-step strategy, we isolate a robust composite hydrogel with independently tunable ionic properties and physical structure. This method is compatible with most substrates and results in a conformal, persistent gel coating with excellent rehydration properties. Gels containing a variety of biocompatible salts can be accessed, without concomitant changes in physical structure and morphology. Ionic conductivities can be tuned between 1 × 10−5–0.03 S cm−1 by changing the ionic strength of the precursor mixture. Additionally, we show that the material retains its ion concentration and conductivity after washing. Finally, we deploy this material onto several different substrates and show that through this method the same gel can be manufactured in-place regardless of the intended substrate.
Performance analysis of NOMA based UAV-assisted cooperative relaying system with direct link over rician fading channels
Authors: Ahmad Saif , Khan Imran Ullah , Khan Mohd Javed 
Published: October 2023

AbstractIn recent years, there has been a continuous increase in the requirement for consistent connectivity, high-speed data rates, and high quality of service (QoS) for mobile communication. Recent researches show that unmanned aerial vehicle (UAV)-assisted communication improves communication capabilities in terms of reliability, security, cost-effectiveness, and coverage. Also, Non-Orthogonal Multiple Access (NOMA) has the potential to greatly improve the fairness, efficiency, and capacity of wireless networks. In this research paper, we propose a UAV-assisted cooperative NOMA system over Rician fading channels with decode and forward relaying, in which we consider a one-user system and successive interference cancellation is performed by relay. We derive the outage probability, coverage probability, throughput, and ergodic capacity of the proposed system model, compare the performance of the proposed system model with the conventional systems in terms of said parameters, and demonstrate that the UAV-assisted cooperative NOMA-based system has higher performance than the conventional orthogonal multiple access based system. We validate the outcomes of the analytical approach using Monte Carlo simulation.
The Awareness and Behavior Model of Fujian Dentists Toward Managing Hypertensive Patients
Authors: Huang Lingling , Wei Bin , Bao Lei , Xu Liang , Zhu Xiaofeng 
Published: October 2023

Abstract

BACKGROUND
To evaluate the awareness and behavior model of dentists in managing and treating hypertensive patients in Fujian Province.

METHODS
E-questionnaires were created and sent to dentists of all levels in Fujian Province (n = 610). The questionnaire included an assessment of attitude and behavior toward using a sphygmomanometer in the department of stomatology or clinic, as well as an assessment of the knowledge and ability of the stomatologist to manage and properly diagnose chronic diseases in patients with hypertension.

RESULTS
About 72.5% (442/610) of clinics were equipped with sphygmomanometers. However, only 1.3% (69/610) of dentists routinely measured the blood pressure of all patients prior to treatment. When patients reported a history of hypertension, 73.3% (447/610) of dentists would measure blood pressure, especially when performing invasive procedures such as tooth extraction surgery and implant surgery. If the patient’s blood pressure exceeds 180/100 mm Hg, 88.2% (538/610) of oral physicians would urgently refer the patient to the department of cardiology or superior hospital instead of routine elective dental treatment. About 8l.1% (495/610) of dentists believed that oral treatment of patients with hypertension had a risk of complications, About 54.1% (330/610) of the dentists preferred using local anesthetics without adrenaline to reduce the risk of anesthesia during treatment.

CONCLUSIONS
The dentists in Fujian Province do not pay enough attention to the proper management and diagnosis of hypertensive patients, which should be improved in clinical practice.
Artificial-intelligence-based MRI brain volumetry in patients with essential tremor and tremor-dominant Parkinson’s disease
Authors: Purrer Veronika , Pohl Emily , Lueckel Julia M , Borger Valeri , Sauer Malte , Radbruch Alexander , Wüllner Ullrich , Schmeel Frederic Carsten 
Published: October 2023

Abstract
Essential tremor and Parkinson’s disease patients may present with various tremor types. Overlapping tremor features can be challenging to diagnosis and misdiagnosis is common. Although underlying neurodegenerative mechanisms are suggested, neuroimaging studies arrived at controversial results and often the different tremor types were not considered. We investigated whether different tremor types displayed distinct structural brain features. Structural MRI of 61 patients with essential tremor and 29 with tremor-dominant Parkinson’s disease was analysed using a fully automated artificial-intelligence-based brain volumetry to compare volumes of several cortical and subcortical regions. Furthermore, essential tremor subgroups with and without rest tremor or more pronounced postural and kinetic tremor were investigated. Deviations from an internal reference collective of age- and sex-adjusted healthy controls and volumetric differences between groups were examined; regression analysis was used to determine the contribution of disease-related factors on volumetric measurements. Compared with healthy controls, essential tremor and tremor-dominant Parkinson’s disease patients displayed deviations in the occipital lobes, hippocampus, putamen, pallidum and mesencephalon while essential tremor patients exhibited decreased volumes within the nucleus caudatus and thalamus. Analysis of covariance revealed similar volumetric patterns in both diseases. Essential tremor patients without rest tremor showed a significant atrophy within the thalamus compared to tremor-dominant Parkinson’s disease and atrophy of the mesencephalon and putamen were found in both subgroups compared to essential tremor with rest tremor. Disease-related factors contribute to volumes of occipital lobes in both diseases and to volumes of temporal lobes in essential tremor and the putamen in Parkinson’s disease. Fully automated artificial-intelligence-based volumetry provides a fast and rater-independent method to investigate brain volumes in different neurological disorders and allows comparisons with an internal reference collective. Our results indicate that essential tremor and tremor-dominant Parkinson’s disease share structural changes, indicative of neurodegenerative mechanisms, particularly of the basal-ganglia-thalamocortical circuitry. A discriminating, possibly disease-specific involvement of the thalamus was found in essential tremor patients without rest tremor and the mesencephalon and putamen in tremor-dominant Parkinson’s disease and essential tremor without rest tremor.
KCNN1 promotes proliferation and metastasis of breast cancer via ERLIN2-mediated stabilization and K63-dependent ubiquitination of Cyclin B1
Authors: Xiao Bin , Xiang Qin , Deng Zihua , Chen Daxiang , Wu Shunhong , Zhang Yanxia , Liang Yaru , Wei Shi , Luo Guoqing , Li Linhai 
Published: October 2023

Abstract
Potassium Calcium-Activated Channel Subfamily N1 (KCNN1), an integral membrane protein, is thought to regulate neuronal excitability by contributing to the slow component of synaptic after hyperpolarization. However, the role of KCNN1 in tumorigenesis has been rarely reported, and the underlying molecular mechanism remains unclear. Here, we report that KCNN1 functions as an oncogene in promoting breast cancer cell proliferation and metastasis. KCNN1 was overexpressed in breast cancer tissues and cells. The pro-proliferative and pro-metastatic effects of KCNN1 were demonstrated by CCK8, clone formation, Edu assay, wound healing assay and transwell experiments. Transcriptomic analysis using KCNN1 overexpressing cells revealed that KCNN1 could regulate key signaling pathways affecting the survival of breast cancer cells. KCNN1 interacts with ERLIN2 and enhances the effect of ERLIN2 on Cyclin B1 stability. Overexpression of KCNN1 promoted the protein expression of Cyclin B1, enhanced its stability and promoted its K63 dependent ubiquitination, while knockdown of KCNN1 had the opposite effects on Cyclin B1. Knockdown (or overexpression) ERLNI2 partially restored Cyclin B1 stability and K63 dependent ubiquitination induced by overexpression (or knockdown) of KCNN1. Knockdown (or overexpression) ERLIN2 also partially neutralizes the effects of overexpression (or knockdown) KCNN1-induced breast cancer cell proliferation, migration and invasion. In paired breast cancer clinical samples, we found a positive expression correlations between KCNN1 and ERLIN2, KCNN1 and Cyclin B1, as well as ERLIN2 and Cyclin B1. In conclusion, this study reveals, for the first time, the role of KCNN1 in tumorigenesis and emphasizes the importance of KCNN1/ERLIN2/Cyclin B1 axis in the development and metastasis of breast cancer.
Underwater Wireless Sensor Network-Based Delaunay Triangulation (UWSN-DT) Algorithm for Sonar Map Fusion
Authors: Yuan Xin , Li Ning , Gong Xiaobo , Yu Changli , Zhou Xiaoteng , Ortega José-Fernán Martínez 
Published: October 2023

Abstract
Robust and fast image recognition and matching is an important task in the underwater domain. The primary focus of this work is on extracting subsea features with sonar sensor for further Autonomous Underwater Vehicle navigation, such as the robotic localization and landmark mapping applications. With the assistance of high-resolution underwater features in the Side Scan Sonar (SSS) images, an efficient feature detector and descriptor, Speeded Up Robust Feature, is employed to seabed sonar image fusion task. In order to solve the nonlinear intensity difference problem in SSS images, the main novelty of this work is the proposed Underwater Wireless Sensor Network-based Delaunay Triangulation (UWSN-DT) algorithm for improving the performances of sonar map fusion accuracy with low computational complexity, in which the wireless nodes are considered as underwater feature points, since nodes could provide sufficiently useful information for the underwater map fusion, such as the location. In the simulated experiments, it shows that the presented UWSN-DT approach works efficiently and robustly, especially for the subsea environments where there are few distinguishable feature points.
The rapid radiation of Bomarea (Alstroemeriaceae: Liliales), driven by the rise of the Andes
Authors: Tribble Carrie M , Alzate-Guarín Fernando , Gándara Etelvina , Vartoumian Araz , Burleigh John Gordon , Zenil-Ferguson Rosana , Specht Chelsea D , Rothfels Carl J 
Published: October 2023

Abstract
Geological events such as mountain uplift affect how, when, and where species diversify, but measuring those effects is a longstanding challenge. Andean orogeny impacted the evolution of regional biota by creating barriers to gene flow, opening new habitats, and changing local climate. B⁢o⁢m⁢a⁢r⁢e⁢a (Alstroemeriaceae) are tropical plants with (often) small, isolated ranges; in total, B⁢o⁢m⁢a⁢r⁢e⁢a species occur from central Mexico to central Chile. This genus appears to have evolved rapidly and quite recently, and rapid radiations are often challenging to resolve with traditional phylogenetic inference. In this study, we apply phylogenomics—with hundreds of loci, gene-tree-based data curation, and a multispecies-coalescent approach—to infer the phylogeny of B⁢o⁢m⁢a⁢r⁢e⁢a. We use this phylogeny to untangle the potential drivers of diversification and biogeographic history. In particular, we test if Andean orogeny contributed to the diversification of B⁢o⁢m⁢a⁢r⁢e⁢a. We find that B⁢o⁢m⁢a⁢r⁢e⁢a originated in the central Andes during the mid-Miocene, then spread north, following the trajectory of mountain uplift. Furthermore, Andean lineages diversified faster than non-Andean relatives. B⁢o⁢m⁢a⁢r⁢e⁢a thus demonstrates that—at least in some cases—geological change rather than environmental stability has driven high species diversity in a tropical biodiversity hotspot. These results also demonstrate the utility (and danger) of genome-scale data for making macroevolutionary inferences.
Composition of fungal communities upon multiple passaging of rhizosphere microbiome for salinity stress mitigation in Vigna radiata
Authors: Dubey Shubham , Bhattacharjee Annapurna , Pradhan Salila , Kumar Abhay , Sharma Shilpi 
Published: October 2023

Abstract
The top-down approach of microbiome-mediated rhizosphere engineering has emerged as an eco-friendly approach for mitigating stress and enhancing crop productivity. It has been established to mitigate salinity stress in Vigna radiata using multi-passaging approach. During the process of acclimatization under increasing levels of salinity stress, the structure of rhizospheric microbial community undergoes dynamic changes, while facilitating stress mitigation in plants. In this study, using ITS-based amplicon sequencing, the dynamics of rhizosphere fungal community was unravelled over successive passages under salinity stress in V. radiata. Clear shifts were evident among the fungal community members under stress and non-stress conditions, upon application of acclimatized rhizosphere microbiome in V. radiata across successive passages. These shifts correlated with enhanced plant biometrics and reduced stress marker levels in plant. Significant changes in the fungal community structure were witnessed in the rhizosphere across specific passaging cycles under salinity stress, which possibly facilitated stress mitigation in V. radiata.
Mutations in abnormal spindle disrupt temporal transcription factor expression and trigger immune responses in the Drosophila brain
Authors: Mannino Maria C , Cassidy Mercedes Bartels , Florez Steven , Rusan Zeid , Chakraborty Shalini , Schoborg Todd 
Published: October 2023

Abstract
The coordination of cellular behaviors during neurodevelopment is critical for determining the form, function, and size of the central nervous system (CNS). Mutations in the vertebrate Abnormal Spindle-Like, Microcephaly Associated (ASPM) gene and its Drosophila melanogaster ortholog abnormal spindle (asp) lead to microcephaly (MCPH), a reduction in overall brain size whose etiology remains poorly defined. Here, we provide the neurodevelopmental transcriptional landscape for a Drosophila model for autosomal recessive primary microcephaly-5 (MCPH5) and extend our findings into the functional realm to identify the key cellular mechanisms responsible for Asp-dependent brain growth and development. We identify multiple transcriptomic signatures, including new patterns of coexpressed genes in the developing CNS. Defects in optic lobe neurogenesis were detected in larval brains through downregulation of temporal transcription factors (tTFs) and Notch signaling targets, which correlated with a significant reduction in brain size and total cell numbers during the neurogenic window of development. We also found inflammation as a hallmark of asp mutant brains, detectable throughout every stage of CNS development, which also contributes to the brain size phenotype. Finally, we show that apoptosis is not a primary driver of the asp mutant brain phenotypes, further highlighting an intrinsic Asp-dependent neurogenesis promotion mechanism that is independent of cell death. Collectively, our results suggest that the etiology of the asp mutant brain phenotype is complex and that a comprehensive view of the cellular basis of the disorder requires an understanding of how multiple pathway inputs collectively determine tissue size and architecture.
Unveiling plant defense arsenal: metabolic strategies in Brassica oleracea during black rot disease
Authors: Vega-Álvarez Carmen , Soengas Pilar , Roitsch Thomas , Abilleira Rosaura , Velasco Pablo , Francisco Marta 
Published: October 2023

Abstract
Alterations in plant metabolism play a key role in the complex plant–pathogen interactions. However, there is still a lack of knowledge about the connection between changes in primary and specialized metabolism and the plant defense against diseases that impact crops. Thus, we aim to study the metabolic reprograming in Brassica oleracea plants upon infection by Xanthomonas campestris pv. campestris (Xcc). To accomplish this, we utilized a combination of untargeted and targeted metabolomics, through UPLC-Q-TOF-MS/MS and 1H-NMR, in two crop lines differing in resistance that were evaluated at two- and four-week intervals following inoculation (T1 and T2, respectively). Besides, to depict the physiological status of the plant during infection, enzymatic activities related to the carbohydrate pathway and oxidative stress were studied. Our results revealed different temporal dynamics in the responses of the susceptible vs. resistant crops lines. Resistant B. oleracea line suppresses carbohydrate metabolism contributing to limit nutrient supplies to the bacterium and prioritizes the induction of defensive compounds such as indolic glucosinolates, salicylic acid, phenylpropanoids and phytoalexins precursors at early infection stages. In contrast, the susceptible line invests in carbohydrate metabolism, including enzymatic activities related to the hexoses turnover, and activates defense signaling related to reactive oxygen species. Thus, each line triggers a different metabolic strategy that will affect how the plant overcomes the disease in terms of resistance and growth. This work provides first insights of a fine-tuned metabolic regulation during Xcc infection in B. oleracea that will contribute to develop new strategies for plant disease management.