bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform
Authors: Mertens Stien , Verbraeken Lennart , Sprenger Heike , De Meyer Sam , Demuynck Kirin , Cannoot Bernard , Merchie Julie , De Block Jolien , Vogel Jonathan T. , Bruce Wesley , Nelissen Hilde , Maere Steven , Inzé Dirk , Wuyts Nathalie 
Published: November 2023

AbstractBackgroundThermography is a popular tool to assess plant water-use behavior, as plant temperature is influenced by transpiration rate, and is commonly used in field experiments to detect plant water deficit. Its application in indoor automated phenotyping platforms is still limited and mainly focuses on differences in plant temperature between genotypes or treatments, instead of estimating stomatal conductance or transpiration rate. In this study, the transferability of commonly used thermography analysis protocols from the field to greenhouse phenotyping platforms was evaluated. In addition, the added value of combining thermal infrared (TIR) with hyperspectral imaging to monitor drought effects on plant transpiration rate (E) was evaluated.ResultsThe sensitivity of commonly used TIR indices to detect drought-induced and genotypic differences in water status was investigated in eight maize inbred lines in the automated phenotyping platform PHENOVISION. Indices that normalized plant temperature for vapor pressure deficit and/or air temperature at the time of imaging were most sensitive to drought and could detect genotypic differences in the plants’ water-use behavior. However, these indices were not strongly correlated to stomatal conductance and E. The canopy temperature depression index, the crop water stress index and the simplified stomatal conductance index were more suitable to monitor these traits, and were consequently used to develop empirical E prediction models by combining them with hyperspectral indices and/or environmental variables. Different modeling strategies were evaluated, including single index-based, machine learning and mechanistic models. Model comparison showed that combining multiple TIR indices in a random forest model can improve E prediction accuracy, and that the contribution of the hyperspectral data is limited when multiple indices are used. However, the empirical models trained on one genotype were not transferable to all eight inbred lines.ConclusionOverall, this study demonstrates that existing TIR indices can be used to monitor drought stress and develop E prediction models in an indoor setup, as long as the indices normalize plant temperature for ambient air temperature or relative humidity.
CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms
Authors: Li Yongge , Ju Fusong , Chen Zhiyuan , Qu Yiming , Xia Huanhuan , He Liang , Wu Lijun , Zhu Jianwei , Shao Bin , Deng Pan 
Published: November 2023

AbstractLinking cis-regulatory sequences to target genes has been a long-standing challenge. In this study, we introduce CREaTor, an attention-based deep neural network designed to model cis-regulatory patterns for genomic elements up to 2 Mb from target genes. Coupled with a training strategy that predicts gene expression from flanking candidate cis-regulatory elements (cCREs), CREaTor can model cell type-specific cis-regulatory patterns in new cell types without prior knowledge of cCRE-gene interactions or additional training. The zero-shot modeling capability, combined with the use of only RNA-seq and ChIP-seq data, allows for the ready generalization of CREaTor to a broad range of cell types.
Effectiveness and cost-effectiveness of an electronic mindfulness-based intervention to improve maternal mental health in the peripartum: study protocol for a randomised controlled trial
Authors: Branjerdporn Grace , Gillespie Kerri , Martin Elizabeth , Kissane Vivianne , De Young Alex , Ewais Tatjana , Goldsmith Kathleen , Wilson Susan , Adhikary Sam , McGahan Greg , Schulz Constanze , Beckmann Michael 
Published: November 2023

Abstract
Background
Perinatal women are highly vulnerable to developing mental health issues and particularly susceptible to a recurrence of psychiatric illness. Poor mental health during the perinatal period can have long-term impacts on the physical and psychiatric health of both mother and child. A potentially useful strategy to improve women’s mental health is through a mobile application teaching mindfulness, an evidence-based technique helping individuals focus on the present moment.

Methods
A mixed method, prospective randomised controlled trial. The study group comprise women aged 18 years and over, who are attending the public and private maternity clinics at Mater Mothers’ Hospital. A sample of 360 prenatal women will be randomised into the intervention group (with the use of the mindfulness app) or usual care. Participants will remain in the study for 11 months and will be assessed at four timepoints for changes in postnatal depression, mother-infant bonding, and quality of life. A cost-effectiveness evaluation will also be conducted using quality-adjusted life year (QALY) calculations. A random selection of intervention participants will be invited to attend focus groups to give feedback on the mindfulness app.

Discussion
Previous studies have found mindfulness interventions can reduce stress, anxiety, depression, and sleep disturbances in a prenatal population. The risks of the intervention are low, but could be of significant benefit for women who are unable to attend face-to-face appointments due to geographical, financial, or time barriers; during endemic or pandemic scenarios; or due to health or mobility issues.

Trial registration
This study was approved by the Mater Misericordiae Human Research Ethics Committee (83,589). Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12622001581752 (https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385107&isReview=true). Registered on 22 Dec. 2022.
RETRACTED ARTICLE: The design of network security protection trust management system based on an improved hidden Markov model
Authors: Chen Shaojun 
Published: November 2023

AbstractWith the growth of the Internet, network security issues have become increasingly complex, and the importance of node interaction security is also gradually becoming prominent. At present, research on network security protection mainly starts from the overall perspective, and some studies also start from the interaction between nodes. However, the trust management mechanisms in these studies do not have a predictive function. Therefore, to predict trust levels and protect network security, this paper innovatively proposes a trust management system for network security protection based on the improved hidden Markov model. The research divides the trust level of inter-node interactions by calculating the threat level of inter-node interactions and predicts the trust level of inter-node interactions through an optimized hidden Markov model. In addition, the study designs an estimation of the types of interactive threats between nodes based on alarm data. The research results show that when inactive interaction tuples are not excluded, the average prediction accuracy of the combined model is 95.5%. In response time, the maximum values of the active and passive cluster management pages are 38 ms and 33 ms, respectively, while the minimum values are 16 ms and 14 ms, with an average of 26.2 ms and 24 ms, respectively. The trust management system designed by the research institute has good performance and can provide systematic support for network security protection, which has good practical significance.
Pleiotropic properties of GOLDEN2-LIKE transcription factors for crop improvement
Authors: Kim Sangyun , Choi Heebak , Yi Taegyu , Gwak Dohoon , Ha Sun-Hwa 
Published: November 2023

AbstractCrop improvement can be affected by enhancing the efficiency of photosynthesis-associated bioprocesses such as chlorophyll biosynthesis, chloroplast biogenesis, the functioning of photosystems including light-harvesting complexes, and carbon fixation. To achieve this, the GOLDEN2-LIKE (GLK) transcription factors represent promising targets since they play a positive role for greening traits in diverse plants. To scrutinize the pleiotropic impact of GLKs, we summarized all phenotypic traits reported in functional studies that used transgenic approaches to lose or gain gene functions. Additionally, we also discussed altered plant phenotypes with respect to their physiological–biochemical aspects and environmental stress responses. From these results, we conclude that GLKs consistently increase chlorophyll biosynthesis, enhance chloroplast division, and increase photosynthetic rate. They individually influence other traits including yield, phytochemical accumulation, and biotic and abiotic stress resistance. Collectively, GLKs have potential as key regulators to effect increases in overall agricultural quality across plant species. This suggests that they may be among the most promising target genes for future agro-biotechnology applications.
Preliminary analysis of amplified ground motion in Bangkok basin using HVSR curves from recent moderate to large earthquakes
Authors: Ornthammarath Teraphan , Jirasakjamroonsri Amorntep , Pornsopin Patinya , Rupakhety Rajesh , Poovarodom Nakhorn , Warnitchai Pennung , Toe Tun Tun Tha 
Published: November 2023

Abstract
Background
The Bangkok Basin has been known from non-instrumental observations of the local population to be subject to ground motion amplification due to the deep alluvial sediments and basin geometry. This study analyzes available seismic data to confirm that basin effects are significant in the Bangkok Basin. The paper contributes to the evaluation of basin effects by characterizing the engineering ground motion parameters and HVSR curves for the Bangkok basin which produce lengthening of ground motion duration with respect to nearby rock sites, albeit with very low ground motions. For this purpose, we analyzed ground motion records from seismic stations located within the Bangkok alluvial basin from 2007 to 2021. Recorded peak horizontal ground acceleration (PGA) for seismic stations inside the basin always exceeded 1 cm/s2 during eight earthquakes with Mw ≥ 5.5. Of these, two were intraslab events and six were shallow crustal earthquakes. These recorded ground motions shook high-rise buildings in Bangkok even though their epicentral distance exceeded 600 km.

Methods
Several time and frequency domain analyses (such as analysis of residual, HVSR, Hodogram plots, etc.) are used on the ground motion records in the Bangkok basin to determine the frequency content of recorded ground motion and to demonstrate the significance of surface waves induced by the deep basin in altering the engineering ground motion amplitudes. In addition, centerless circular array microtremor analysis is used to determine the depth of sedimentary basin to the bedrock.

Results
Based on comparisons from those stations located outside the Bangkok basin, we observed the capability of alluvial deposits in the Bangkok basin to amplify ground motion records by about 3 times. We observed that there is a unique site amplification effect between 0.3 and 0.1 Hz due to local surface waves and other moderate amplifications between 2 and 0.5 Hz due to a soft layer like other deep alluvial basins in other metropolitan areas.

Conclusion
We noticed that there is a unique site amplification effect between 0.1 and 0.3 Hz and smaller peaks around 2 and 0.5 Hz consistent with expectations for site amplification effects associated with deep basins. Moreover, we noticed the presence of low frequencies content of the surface wave generated within the basin which deserved further studies using the 2D/3D ground motion modelling through basin topography and velocity models.
Exploring the morphological dynamics of Nile tilapia (Oreochromis niloticus Linn. 1758) in Victoria Nile as depicted from geometric morphometrics
Authors: Tibihika Papius Dias , Curto Manuel , Meimberg Harald , Aruho Cassius , Muganga George , Lugumira Jerome Sebadduka , Namulawa Victoria Tibenda , Aanyu Margaret , Ddungu Richard , Ondhoro Constantine Chobet , Okurut Tom 
Published: November 2023

Abstract
Background
Various anthropogenic activities continue to threaten the fish biodiversity of the East African water bodies such as the Victoria Nile. Although the Victoria Nile is a significant source of livelihood for human populations, the biology and ecology of Nile tilapia in this ecosystem remain understudied with little or no information on the morphology of the fish given varying and immense anthropogenic activities. Here, we use geometric morphometrics to examine the morphology/shape variations of Nile tilapia populations in Victoria Nile to gain insights into their current ecological state.

Results
Our results indicate unexpectedly smaller Nile tilapia body weights in Victoria Nile than in L. Victoria. Despite this, nearly all the populations displayed a relative condition factor (Kn) of greater ≥1 suggesting a healthy stock. However, two populations, LMF and VN_Bukeeka demonstrated Kn values of less than one (< 1). We also report that some Upper and Lower Victoria Nile populations display morphological similarities. Apart from L. Albert, Nile tilapia populations from Lakes Victoria and Kyoga are morphologically divergent from the riverine ones. We note that Nile tilapia from Nalubale Dam Reservoir is morphologically distinct from the close neighbouring Victoria Nile populations which are likely allied to the influence of the Nalubale Hydroelectric power dam as a barrier.

Conclusion
Nile tilapia’s morphological variation appears to be influenced by various anthropogenic disturbances notably, overfishing, hydroelectric power dams, and fish translocational history in Uganda. Management should enforce regulatory frameworks to avert human-mediated activities as these are likely to compromise the sustainability of the fisheries. Further studies are required to follow these populations with molecular genetics and environmental data to gain a deeper understanding of the fish species for informed sustainable management and conservation options.
Detection and isolation of a new member of Burkholderiaceae-related endofungal bacteria from Saksenaea boninensis sp. nov., a new thermotolerant fungus in Mucorales
Authors: Takashima Yusuke , Yamamoto Kohei , Degawa Yousuke , Guo Yong , Nishizawa Tomoyasu , Ohta Hiroyuki , Narisawa Kazuhiko 
Published: November 2023

AbstractThermotolerance in Mucorales (Mucoromycotina) is one of the factors to be opportunistic pathogens, causing mucormycosis. Among thermotolerant mucoralean fungi, Burkholderiaceae-related endobacteria (BRE) are rarely found and the known range of hosts is limited to Rhizopus spp. The phylogenetic divergence of BRE has recently expanded in other fungal groups such as Mortierellaceae spp. (Mortierellomycotina); however, it remains unexplored in Mucorales. Here, we found a thermotolerant mucoralean fungus obtained from a litter sample collected from Haha-jima Island in the Ogasawara (Bonin) Islands, Japan. The fungus was morphologically, phylogenetically, and physiologically characterized and proposed as a new species, Saksenaea boninensis sp. nov. Besides the fungal taxonomy, we also found the presence of BRE in isolates of this species by diagnostic PCR amplification of the 16S rRNA gene from mycelia, fluorescence microscopic observations, and isolation of the bacterium in pure culture. Phylogenetic analysis of the 16S rRNA gene of BRE revealed that it is distinct from all known BRE. The discovery of a culturable BRE lineage in the genus Saksenaea will add new insight into the evolutional origin of mucoralean fungus-BRE associations and emphasize the need to pay more attention to endofungal bacteria potentially associated with isolates of thermotolerant mucoralean fungi causing mucormycosis.
An adaptive steganography insertion technique based on wavelet transform
Authors: Alobaidi Taif , Mikhael Wasfy 
Published: November 2023

AbstractOver the past few decades, there have been several successful methods developed for steganography. One popular technique is the insertion method, which is favored for its simplicity and ability to hold a reasonable amount of hidden data. This study introduces an adaptive insertion technique based on the two-dimensional discrete Haar filter (2D DHF). The technique involves transforming the cover image into the wavelet domain using 2D DWT and selecting a predetermined number of coefficients to embed the binary secret message. The selection process is carried out by analyzing the cover image in two non-orthogonal domains: 2D discrete cosine transform and 2D DHF. An adaptive algorithm is employed to minimize the impact on the unrepresented parts of the cover image. The algorithm determines the weights of each coefficient in each domain, and coefficients with low weights are chosen for embedding. To evaluate the effectiveness of the proposed approach, samples from the BOSSbase and custom databases are used. The technique’s performance is measured using three metrics: mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). Additionally, a visual inspection by humans is conducted to assess the resulting image. The results demonstrate that the proposed approach outperforms recently reported methods in terms of MSE, PSNR, SSIM, and visual quality.
Refractory esophageal–mediastinal fistula successfully treated with endoluminal vacuum therapy and enteral nutrition using a double-lumen elemental diet tube: a case report
Authors: Yoshidome Shizuka , Sasaki Ken , Fumoto Hideyuki , Tsuruda Yusuke , Shimonosono Masataka , Uchikado Yasuto , Matsushita Daisuke , Arigami Takaaki , Baba Kenji , Kurahara Hiroshi , Ohtsuka Takao 
Published: November 2023

Abstract
Background
Aortic–esophageal fistula (AEF) after thoracic endovascular aortic repair (TEVAR) has a high fatality rate and is difficult to treat. Endoluminal vacuum therapy (EVT) has recently appeared and proven to be a useful method for anastomotic leakage.

Case presentation
A 76-year-old man underwent aortic arch replacement for a stent graft infection after TEVAR. Persistent mediastinitis and pyothorax were observed after aortic arch replacement, and further examination revealed an esophageal–mediastinal fistula (EMF). Over-the-scope clip (OTSC®) closure was performed to treat EMF but achieved no cure. Then, the patient was referred to our hospital. First, we removed the OTSC® that interfered with the treatment using the remOVE System® and started EVT using a double-lumen elemental diet tube (W–EDT®). The vacuum sponge was affixed to the vacuum side of W–EDT®, and enteral nutrition administered through W–EDT was combined with EVT. EMF was cured 11 days after EVT, and the patient was able to feed himself.

Conclusion
The combination of EVT and enteral nutrition feeding using W–EDT® is a successful novel procedure to treat refractory EMF.
Inborn errors of amino acid metabolism – from underlying pathophysiology to therapeutic advances
Authors: Ziegler Shira G. , Kim Jiyoung , Ehmsen Jeffrey T. , Vernon Hilary J. 
Published: November 2023

ABSTRACT
Amino acids are organic molecules that serve as basic substrates for protein synthesis and have additional key roles in a diverse array of cellular functions, including cell signaling, gene expression, energy production and molecular biosynthesis. Genetic defects in the synthesis, catabolism or transport of amino acids underlie a diverse class of diseases known as inborn errors of amino acid metabolism. Individually, these disorders are rare, but collectively, they represent an important group of potentially treatable disorders. In this Clinical Puzzle, we discuss the pathophysiology, clinical features and management of three disorders that showcase the diverse clinical presentations of disorders of amino acid metabolism: phenylketonuria, lysinuric protein intolerance and homocystinuria due to cystathionine β-synthase (CBS) deficiency. Understanding the biochemical perturbations caused by defects in amino acid metabolism will contribute to ongoing development of diagnostic and management strategies aimed at improving the morbidity and mortality associated with this diverse group of disorders.
Intraconsumer Price Discrimination with Credit Refund Policies
Authors: Liu Yan , Zhang Dan 
Published: November 2023

Consumers often receive a full or partial refund for product returns or service cancellations. Much of the existing literature studies cash refunds, where consumers get the money back minus a fee upon a product return or service cancellation. However, not all refunds are issued in cash. Sometimes consumers receive credit that can be used for future purchases, oftentimes with an expiration term after which the credit is forfeited. We study the optimal design of credit refund policies. Different from models that consider cash refunds, we explicitly model repeated interactions between the seller and consumers over time. We assume that consumers’ valuation for the product/service varies over time and that there is an exogenous probability for product returns. Several interesting results emerge. First, a credit refund policy facilitates intraconsumer price discrimination for a single type of consumers with stochastic valuation. Second, an optimal policy often involves an intermediate credit expiration term, under which a consumer with a high product valuation always makes a purchase, whereas a consumer with a low product valuation may be induced to make a purchase as the credit approaches expiration, leading to a demand induction effect. Finally, a credit refund policy can be more profitable than a cash refund policy and can lead to a win-win outcome for both the firm and consumers under certain conditions. We also consider several extensions to check the robustness of our findings. This paper was accepted by Jeannette Song, operations management. Funding: Y. Liu was substantially supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. PolyU15502420). Y. Liu was also supported by a grant from NSFC [72293564/72293560]. Supplemental Material: The data and online appendices are available at https://doi.org/10.1287/mnsc.2020.03042 .
Reception analysis of childfree issue in Gita Savitri Devi’s Youtube content "Childfree: all wrong in the eyes of netizens"
Authors: Sulastri Ayu , Rahman Taufiqur 
Published: November 2023

This research is conducted to examine audience reception through a descriptive qualitative approach. This research aims to find out how the audience reception about the issue of childfree on Gita Savitri Devi's personal Instagram video reels regarding the comments of one of the netizens in the video and then clarifying it with her husband on YouTube with the title "Childfree: All Wrong in the Eyes of Netizens" segment Pagi-Pagi Eps. 32. There were 5 informants who were selected as the subjects of this research, gathered using purposive sampling technique. This research uses reception analysis as the research method and the data is collected using in-depth interviews, documentation, and literature study. This research will specifically investigate positions or ways of decoding of audiences in interpreting Gita Savitri Devi's childfree statement. The results obtained through in-depth interviews with 5 informants who have met the criteria indicate that there is 1 informant in the dominant position category, 3 informants in the negotiating position category and 1 informant in the opposition category.