bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oncological impact of intraperitoneal chemotherapy after cytoreductive surgery for patients with colorectal peritoneal metastasis: A bi‐institutional retrospective analysis
Authors: Park Soo Yeun , Park Jun Seok , Kim Hye Jin , Kim Jong Gwang , Kang Byung Woog , Baek Jin Ho , Kim Hyeong Rok , Kim Chang Hyun , Kim Young Jin , Choi Gyu‐Seog 
Published: December 2022

AbstractBackground and objectivesThere is a paucity of evidence on the value of intraperitoneal chemotherapy (IPC) following cytoreductive surgery (CRS) for colorectal peritoneal metastasis. This study aimed to evaluate the association between mitomycin C‐IPC and survival outcomes following CRS.MethodsThe institutional databases of two tertiary hospitals were reviewed to identify patients who underwent CRS for colorectal peritoneal metastasis. The outcomes of patients who underwent CRS without IPC were compared with those of patients who underwent CRS plus early postoperative intraperitoneal chemotherapy (EPIC) or CRS plus hyperthermic intraperitoneal chemotherapy (HIPEC). The primary endpoints were cancer‐specific survival (CSS), progression‐free survival (PFS), and peritoneal PFS (P‐PFS).ResultsIn 149 patients with peritoneal metastasis alone, EPIC and HIPEC use was significantly associated with better CSS, PFS, and P‐PFS in the multivariate analysis. CSS was also significantly associated with perioperative systemic chemotherapy. Among 42 patients with both peritoneal and extraperitoneal metastases, CSS was independently related to the completeness of cytoreduction score, location of extraperitoneal metastasis, and grade 3–4 complications.ConclusionsMitomycin C‐IPC after CRS was associated with better survival outcomes than CRS alone in patients with resectable peritoneal metastasis of colorectal cancer. This study found that IPC had beneficial effects regarding P‐PFS in patients with both peritoneal and extraperitoneal metastases.
Human decimation caused bottleneck effect, genetic drift, and inbreeding in the Canarian houbara bustard
Authors: Horreo Jose L. , Ucero Alberto , Palacín Carlos , López‐Solano Alfonso , Abril‐Colón Inmaculada , Alonso Juan C. 
Published: December 2022

AbstractAn endangered subspecies of the African houbara bustard, the Canarian houbara (Chlamydotis undulata fuertaventurae), is endemic to the Canary Islands off southern Morocco (Lanzarote, Fuerteventura, and La Graciosa islands). This population decreased over the last centuries because of hunting and egg collection, and was close to extinction in Lanzarote around the middle of last century. Later, the species recovered because of hunting bans, but in Fuerteventura a significant decline has again occurred in the last decades and houbaras are on the brink of extirpation on that island. We describe the genetic characteristics and recent evolutionary history of this subspecies to provide essential information for the evaluation of the conservation actions implemented and for the development of new measures to prevent further declines and local extirpations. We amplified microsatellite loci to infer genetic variability, population structure, and gene flow. The subspecies exhibited relatively high genetic variability but reduced heterozygosity. In spite of high gene flow among locations and islands, we identified 2 genetic units: 1 comprising La Graciosa and Fuerteventura islands, and the other restricted to Lanzarote. We detected genetic bottlenecks and subsequent inbreeding in both units, with a reduced effective number of alleles in Lanzarote compared to Fuerteventura‐La Graciosa. This genetic structure may be explained by human‐induced historical population declines and an associated bottleneck effect, particularly in Lanzarote. Conservation measures should aim to recover the houbara population of Fuerteventura, improving survival of adults and juvenile productivity, and to ensure that genetic flow continues among breeding locations and islands to recover the original population structure (an unique genetic unit over the range of the species) and prevent further genetic deterioration, which could lead to extirpation of this endemic subspecies.
A device for assessing microbial activity under ambient hydrostatic pressure: The in situ microbial incubator (ISMI)
Authors: Amano Chie , Reinthaler Thomas , Sintes Eva , Varela Marta M. , Stefanschitz Julia , Kaneko Sho , Nakano Yoshiyuki , Borchert Wolfgang , Herndl Gerhard J. , Utsumi Motoo 
Published: December 2022

AbstractMicrobes in the dark ocean are exposed to hydrostatic pressure increasing with depth. Activity rate measurements and biomass production of dark ocean microbes are, however, almost exclusively performed under atmospheric pressure conditions due to technical constraints of sampling equipment maintaining in situ pressure conditions. To evaluate the microbial activity under in situ hydrostatic pressure, we designed and thoroughly tested an in situ microbial incubator (ISMI). The ISMI allows autonomously collecting and incubating seawater at depth, injection of substrate and fixation of the samples after a preprogramed incubation time. The performance of the ISMI was tested in a high‐pressure tank and in several field campaigns under ambient hydrostatic pressure by measuring prokaryotic bulk 3H‐leucine incorporation rates. Overall, prokaryotic leucine incorporation rates were lower at in situ pressure conditions than under to depressurized conditions reaching only about 50% of the heterotrophic microbial activity measured under depressurized conditions in bathypelagic waters in the North Atlantic Ocean off the northwestern Iberian Peninsula. Our results show that the ISMI is a valuable tool to reliably determine the metabolic activity of deep‐sea microbes at in situ hydrostatic pressure conditions. Hence, we advocate that deep‐sea biogeochemical and microbial rate measurements should be performed under in situ pressure conditions to obtain a more realistic view on deep‐sea biotic processes.
Gas‐phase Förster resonance energy transfer in mass‐selected and trapped ions
Authors: Langeland Jeppe , Lindkvist Thomas T. , Kjær Christina , Nielsen Steen Brøndsted 
Published: December 2022

AbstractFörster Resonance Energy transfer (FRET) is a nonradiative process that may occur from an electronically excited donor to an acceptor when the emission spectrum of the donor overlaps with the absorption spectrum of the acceptor. FRET experiments have been done in the gas phase based on specially designed mass‐spectroscopy setups with the goal to obtain structural information on biomolecular ions labeled with a FRET pair (i.e., donor and acceptor dyes) and to shed light on the energy‐transfer process itself. Ions are accumulated in a radio‐frequency ion trap or a Penning trap where mass selection of those of interest takes place, followed by photoexcitation. Gas‐phase FRET is identified from detection of emitted light either from the donor, the acceptor, or both, or from a fragmentation channel that is specific to the acceptor when electronically excited. The challenge associated with the first approach is the collection and detection of photons emitted from a thin ion cloud that is not easily accessible while the second approach relies both on the photophysical and chemical behavior of the acceptor. In this review, we present the different instrumentation used for gas‐phase FRET, including a discussion of advantages and disadvantages, and examples on how the technique has provided important structural information that is not easily obtainable otherwise. Furthermore, we describe how the spectroscopic properties of the dyes are affected by nearby electric fields, which is readily discernable from experiments on simple model systems with alkyl or π‐conjugated bridges. Such spectral changes can have a significant effect on the FRET efficiency. Ideas for new directions are presented at the end with special focus on cold‐ion spectroscopy.
Establishment and verification of a radiomics nomogram to predict distant metastasis in patients with descending type of nasopharyngeal carcinoma
Authors: Yang Qin , Chen Yu , Huang Rui , Yin Wenya , Zhang Shuang , Tang Qianlong , Chen Xinyue , Lang Jinyi , Yin Gang , Zhang Peng 
Published: December 2022

AbstractDistant metastasis is one of the main reasons for the failure of nasopharyngeal carcinoma (NPC) treatment, and descending type of nasopharyngeal carcinoma (type D NPC) is more prone to distant metastasis. Few people have explored the relationship between the radiomics characteristics of lymph nodes and the distant metastasis of type D NPC. Therefore, we establish a nomogram based on radiomics risk factors to predict distant metastasis in patients with type D NPC. This study retrospectively included 144 type D NPC (T1‐2N2‐3MO, AJCC 8th). 2600 features were extracted each from CT and MRI examinations conducted before treatment, respectively. Feature selection was performed by least absolute shrinkage and selection operator regression. A binary logistic regression model was used to construct a nomogram, and the C‐index and calibration curve were used to evaluate the discrimination and accuracy of the nomogram. Combining CT and MRI radiomics features with a multimodal radiomics model, the average area under curve of the synthetic minority oversampling technique (SMOTE) data set was 0.873 (95% confidence interval [CI]: 0.797–0.949). The C‐index in the training and validation sets of the original data set were 0.91 (95% CI: 0.848–0.972) and 0.815 (95% CI: 0.664–0.967); the sensitivity were 0.75 and 0.545, the specificity were 0.932 and 0.903, and the accuracy were 0.882 and 0.81. Therefore, we concluded that the multimodal radiomics model in predicting distant metastasis in descending type of NPC patients was good. The proposed model can provide a reference for precise treatment and prognosis prediction.
Automatic segmentation of the tumor in nonsmall‐cell lung cancer by combining coarse and fine segmentation
Authors: Zhang Fuli , Wang Qiusheng , Fan Enyu , Lu Na , Chen Diandian , Jiang Huayong , Wang Yadi 
Published: December 2022

AbstractObjectivesRadiotherapy plays an important role in the treatment of nonsmall‐cell lung cancer (NSCLC). Accurate delineation of tumor is the key to successful radiotherapy. Compared with the commonly used manual delineation ways, which are time‐consuming and laborious, the automatic segmentation methods based on deep learning can greatly improve the treatment efficiency.MethodsIn this paper, we introduce an automatic segmentation method by combining coarse and fine segmentations for NSCLC. Coarse segmentation network is the first level, identifing the rough region of the tumor. In this network, according to the tissue structure distribution of the thoracic cavity where tumor is located, we designed a competition method between tumors and organs at risk (OARs), which can increase the proportion of the identified tumor covering the ground truth and reduce false identification. Fine segmentation network is the second level, carrying out precise segmentation on the results of the coarse level. These two networks are independent of each other during training. When they are used, morphological processing of small scale corrosion and large scale expansion is used for the coarse segmentation results, and the outcomes are sent to the fine segmentation part as input, so as to achieve the complementary advantages of the two networks.ResultsIn the experiment, CT images of 200 patients with NSCLC are used to train the network, and CT images of 60 patients are used to test. Finally, our method produced the Dice similarity coefficient of 0.78 ± 0.10.ConclusionsThe experimental results show that the proposed method can accurately segment the tumor with NSCLC, and can also provide support for clinical diagnosis and treatment.
Telehealth education and training in entry‐to‐practice physiotherapy programs in Australian universities: A qualitative study with university educators
Authors: Davies Luke , Lawford Belinda , Bennell Kim L. , Russell Trevor , Hinman Rana S. 
Published: December 2022

AbstractBackgroundTo explore attitudes to telehealth education and experiences incorporating telehealth education into entry‐to‐practice physiotherapy programs in Australia, from the perspective of university educators.MethodsQualitative design based on a constructivist paradigm and a phenomenological approach. Sixteen university educators (who had a responsibility for telehealth curriculum or oversight of the broader curriculum in an entry‐to‐practice physiotherapy programme at an Australian university) were recruited. Individual semi‐structured interviews were conducted via Zoom. Interviews were recorded, transcribed verbatim, and analysed thematically using an inductive approach.ResultsThree themes (with associated subthemes) were identified: (i) telehealth education has a role in contemporary physiotherapy practice (COVID‐19 pandemic was a driver for telehealth education, acknowledgement that telehealth is here to stay and identified areas of focus for telehealth education and training); (ii) telehealth education and training vary substantially (content delivered and assessment of telehealth competency is ad hoc and student exposure to telehealth on clinical placements is inconsistent); (iii) challenges in telehealth education (finding space and time in the curriculum, as well as insufficient knowledge and expertise of staff, are challenges for implementation of telehealth education, however, course and subject development and/or reviews provide opportunities for implementing telehealth education and training).ConclusionCurrent content and volume of telehealth education and training in entry‐to‐practice physiotherapy programs across Australia varies substantially. Although educators believe telehealth is an important component of contemporary physiotherapy practice, many barriers exist for including telehealth training into the curriculum.
Implementing the classroom password game via telehealth among students with intellectual disabilities
Authors: Meyers Lauren M. , Ripple Hailey , Bates‐Brantley Kayla , Bobak Harry , VanderWoude Tashina , Gadke Daniel L. 
Published: December 2022

AbstractEducational institutions are constantly aiming to better meet the academic needs of individuals with disabilities. As more students with disabilities attend postsecondary education settings researchers need to better understand how to apply both academic and behavioral interventions to better serve this population. Group contingencies are widely popular among educational settings to increase academic engagement and manage classroom behavior. More specifically, the classroom password is an independent group contingency intervention, often utilized in classroom settings to increase academic engagement and decrease disruptive and off‐task behaviors. Utilizing a single case design withdrawal design, researchers sought to evaluate the effectiveness of the classroom password intervention to increase academic engagement and decrease disruptive and off‐task behavior. Due to the COVID‐19 pandemic, researchers utilized the classroom password via telehealth. Overall, the current study's results demonstrate that the intervention was effective at increasing academic engagement and decreasing disruptive and off‐task behavior. Furthermore, the intervention was rated high for social validity among most participants. Future studies should continue to explore the effectiveness, generalizability, and maintenance of these results.
Regulatory dynamics distinguishing desiccation tolerance strategies within resurrection grasses
Authors: St. Aubin Brian , Wai Ching Man , Kenchanmane Raju Sunil K. , Niederhuth Chad E. , VanBuren Robert 
Published: December 2022

AbstractDesiccation tolerance has evolved recurrently in grasses using two unique strategies of either protecting or dismantling the photosynthetic apparatus to minimize photooxidative damage under life without water (anhydrobiosis). Here, we surveyed chromatin architecture and gene expression during desiccation in two closely related grasses with distinguishing desiccation tolerance strategies to identify regulatory dynamics underlying these unique adaptations. In both grasses, we observed a strong association between nearby chromatin accessibility and gene expression in desiccated tissues compared to well‐watered, reflecting an unusual chromatin stability under anhydrobiosis. Integration of chromatin accessibility (ATACseq) and expression data (RNAseq) revealed a core desiccation response across these two grasses. This includes many genes with binding sites for the core seed development transcription factor ABI5, supporting the long‐standing hypothesis that vegetative desiccation tolerance evolved from rewiring seed pathways. Oropetium thomaeum has a unique set of desiccation induced genes and regulatory elements associated with photoprotection, pigment biosynthesis, and response to high light, reflecting its adaptation of protecting the photosynthetic apparatus under desiccation (homoiochlorophyly). By contrast, Eragrostis nindensis has unique accessible and expressed genes related to chlorophyll catabolism, scavenging of amino acids, and hypoxia, highlighting its poikilochlorophyllous adaptations of dismantling the photosynthetic apparatus and degrading chlorophyll under desiccation. Together, our results highlight the complex regulatory and expression dynamics underlying desiccation tolerance in grasses.
Chaotic Image Encryption Based on Boson Sampling
Authors: Shi Jinjing , Zhao Tongge , Wang Yizhi , Feng Yanyan , Wu Junjie 
Published: December 2022

AbstractAs a fundamental form of information representation, image encryption is a significant research issue in the multimedia era. An image encryption scheme is proposed benefiting from chaotic random behavior characteristics of Boson sampling (BS) probability distribution, where the chaotic random number sequence is used to implement the encryption process including scrambling image pixels and altering the values of pixels. Further, a BS‐based image encryption prototype system is constructed on the programmable silicon photonic processor chip for BS with 5‐mode 2‐photon, which can encrypt 4 × 4 grayscale images. Besides, experiments for encrypting 256 × 256 gray‐scale images with 20‐mode 8‐photon BS are simulated on the StrawberryFields photonic quantum software platform. Numerical analyses demonstrate the proposed scheme has good effectiveness in terms of randomness test, information entropy, histogram, correlation, key space, key sensitivity, and anti‐attack, offering gains in many cryptographic applications. The BS‐based image encryption prototype system extends the application of BS to solve practical problems in addition to proving quantum advantages.
Improving the routine analysis of siderite for δ13C and δ18O in environmental change research
Authors: Lacey Jack H. , Sloane Hilary J. , Leng Melanie J. , Crowley Stephen F. 
Published: December 2022

RationaleThe carbon (δ13C) and oxygen (δ18O) isotope composition of siderite (FeCO3) is used widely to understand and quantify geochemical processes to reconstruct past climate and environmental change. However, few laboratories follow precisely the same protocol for the preparation and analysis of siderite‐bearing materials, which combined with the absence of international reference materials and mineral‐specific acid fractionation factors, leads potentially to significant differences in isotope data generated by individual laboratories. Here we examine procedures for the isotope analysis of siderite and discuss factors potentially contributing to inconsistencies in sample measurement data.MethodsIsotope analysis of siderite is first assessed using similar versions of the classical off‐line, sealed vessel acid digestion method by comparing data sets obtained from intercomparison materials measured at two participating laboratories. We then compare data from the classical method against those generated using an automated preparation technique using data produced from an independent set of test materials.ResultsMeasurement of siderite δ13C is generally both repeatable and reproducible, but measurement of δ18O may be subject to large (~1‰), method‐dependent bias for siderite reacted at differing temperatures (70°C and 100°C) under classical and automated CO2 preparation conditions. The potential for poor oxygen isotope measurement reproducibility is amplified by local differences in sample preparation protocols and procedures used to calibrate measurement data to international reference scales.ConclusionsWe offer suggestions for improving the repeatability and reproducibility of δ13C and δ18O analysis on siderite. The challenge of producing consistent isotope data from siderite can only be resolved by ensuring the availability of siderite reference materials to facilitate identical treatment as a basis for minimising method‐dependent contributions to data inconsistency between laboratories.
Event‐triggered robust control for multi‐player nonzero‐sum games with input constraints and mismatched uncertainties
Authors: Zhang Shunchao , Zhao Bo , Liu Derong , Alippi Cesare , Zhang Yongwei 
Published: December 2022

AbstractIn this article, an event‐triggered robust control (ETRC) method is investigated for multi‐player nonzero‐sum games of continuous‐time input constrained nonlinear systems with mismatched uncertainties. By constructing an auxiliary system and designing an appropriate value function, the robust control problem of input constrained nonlinear systems is transformed into an optimal regulation problem. Then, a critic neural network (NN) is adopted to approximate the value function of each player for solving the event‐triggered coupled Hamilton–Jacobi equation and obtaining control laws. Based on a designed event‐triggering condition, control laws are updated when events occur only. Thus, both computational burden and communication bandwidth are reduced. We prove that the weight approximation errors of critic NNs and the closed‐loop uncertain multi‐player system states are all uniformly ultimately bounded thanks to the Lyapunov's direct method. Finally, two examples are provided to demonstrate the effectiveness of the developed ETRC method.
State capacity and the socialist calculation debate
Authors: Bunyk Mykola , Krasnozhon Leonid 
Published: December 2022

AbstractDespite its invaluable contribution to the field of comparative economics, the socialist calculation debate has focused on the narrow topic of the impossibility of the rational economic calculation under socialism. The literature on new institutional economics suggests that economic development is determined by economic and political institutions which are far more complex than the issue of economic calculation. To bridge the gap between the calculation debate and new institutional economics, this paper utilizes the historical case studies of Perestroika and Deng's China to demonstrate relationship between state capacity and economic calculation. We argue that rational economic calculation requires the state's institutional ability to make a credible commitment to constraints inhibiting public predation.