bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxaliplatin-induced peripheral neuropathy can be minimized by pressurized regional intravascular delivery in an orthotopic murine pancreatic cancer model
Authors: Shankara Narayanan Jayanth Surya Narayanan , Frizzi Katie , Erdem Suna , Ray Partha , Jaroch David , Cox Bryan , Katz Steven , Vicente Diego , White Rebekah 
Published: April 2022

AbstractPurposeThere is a great need to reduce the toxicity of chemotherapy used in the management of pancreatic ductal adenocarcinoma (PDAC). Here we explore if regional pressurized delivery of oxaliplatin can minimize peripheral neuropathy in mice.MethodsWe used an orthotopic PDAC mouse model and delivered a single dose of oxaliplatin through the portal vein using a pressure-enabled system (pancreatic retrograde venous infusion, PRVI). We analyzed the effects of PRVI on tumor burden and peripheral neuropathy using histopathological and functional assays.ResultsTumor weights in mice treated with 2 mg/kg oxaliplatin using PRVI were significantly lower than in mice treated with the same dose systemically. This resulted in reduced peripheral neuropathy signatures in PRVI mice compared to the 20 mg/kg systemic dose required to achieve similar tumor control.ConclusionRegional delivery of highly cytotoxic agents using PRVI can reduce the therapeutic dose of these drugs, thereby lowering toxic side effects.
A male-specific sex marker for the endangered western sawshelled turtle (Myuchelys bellii) using in silico whole-genome subtraction
Authors: Dissanayake Duminda S. B. , Streeting Louise M. , Georges Arthur , Bower Deborah S. 
Published: April 2022

AbstractArtificial incubation of eggs for the mass release of hatchlings is a common conservation intervention for imperilled turtle species. Programs designed to reinforce wild populations need to ensure that they are releasing appropriate male to female ratios into the wild. In many turtle species, the sex of juveniles cannot be identified using external morphology until they approach sexual maturity. For the endangered western sawshelled turtle, Myuchelys bellii, sexual dimorphism does not occur until at least 6 years of age. We aimed to develop a molecular test to identify the sex of M. bellii during the life stages where they cannot be sexed morphologically—embryos, hatchlings and small juveniles. We used in silico whole-genome subtraction of a female M. bellii (XX) from a male (XY) to identify a Y chromosome-specific sequence which we characterized and developed into a PCR sex test. Our research is the first to use a whole-genome subtraction method in-silico to successfully establish sex chromosome markers in a freshwater turtle species. Developing this technology provides an opportunity for conservation programs to ensure that populations are supplemented with a proportionate number of male and female hatchlings. Further, it allows large scale measurement of naturally occurring sex ratios in hatchlings and small juveniles, which in turn enables estimates of sex ratios within wild populations free from age-at-maturity bias. The application of sex-specific marker technology also provides an opportunity to quantify the influence of sex on behaviour, movement and survival in the segment of populations that cannot be morphologically sexed.
The combined effects of the minimum miscibility pressure and injection rate variations on recovery of co2 flooding in sandstone reservoir
Authors: Ayoub Mohammed Abdalla , Tackie-Otoo Bennet Nii , Zulkefli Siti Hidmayati Binti 
Published: April 2022

AbstractOne of the most effective enhanced oil recovery techniques is carbon dioxide (CO2) flooding. It is because of its high oil recovery rate and associated advantage on the environment. CO2 flooding has been broadly used and commercially proven. Depending on the reservoir and operational conditions, it can be implemented either in immiscible or miscible modes. Determining the injection mode depends on the minimum miscibility pressure (MMP). The conventional ways of determining the MMP (slim-tube experiments, supercritical extractor, etc.) are costly and time-consuming. A simulation approach has been deployed to determine the MMP of a synthetic reservoir model using a one-dimension compositional slim-tube model in ECLIPSE300. The MMP was also determined using the group method of data handling (GMDH) and other existing correlations. The MMP determined by slim-tube simulation was ~ 4176 psia. Comparing the MMPs of the correlations to the slim-tube simulation, the correlation by Maklavani et al. (Braz J Pet, 2010) was the most accurate with a mean absolute percentage error (MAPE) of 0.79%. The GDMH and the correlation of Firoozabadi and Khalid had MAPEs of 4.96% and 6.06%, respectively. The GMDH model introduced in this study was not as accurate as the correlation by Maklavani et al. (Braz J Pet, 2010) . The model could be improved, or other machine learning models with improved training and prediction could be deployed to estimate MMP more accurately. A synthetic reservoir model based on literature data was used to investigate the effect of the MMP and injection rate on oil recovery by CO2 flooding. The impact of MMP was investigated by the miscible and immiscible flooding scenarios. The injection rate was varied in each scenario to determine the optimum injection rate. However, the scenarios with optimum injection rates for both miscible and immiscible CO2 injection were compared to a waterflood scenario. The optimum injection rates for miscible and immiscible flooding were 2800 and 2200 Mscf/day, respectively. The oil recovery efficiencies for the optimum miscible and immiscible injection were 48% and 46%, respectively. In this study, miscible flooding proved to be the more effective method in oil recovery. However, considering the difference in oil recovery and the difficulty in achieving miscibility, the immiscible CO2 flooding proves to be the feasible option for improving oil recovery.
Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network
Authors: Mathai Anumol , Mengdi Li , Lau Stephen , Guo Ningqun , Wang Xin 
Published: April 2022

AbstractThe detection and reconstruction of transparent objects have remained challenging due to the absence of their features and variations in the local features with variations in illumination. In this paper, both compressive sensing (CS) and super-resolution convolutional neural network (SRCNN) techniques are combined to capture transparent objects. With the proposed method, the transparent object’s details are extracted accurately using a single pixel detector during the surface reconstruction. The resultant images obtained from the experimental setup are low in quality due to speckles and deformations on the object. However, the implemented SRCNN algorithm has obviated the mentioned drawbacks and reconstructed images visually plausibly. The developed algorithm locates the deformities in the resultant images and improves the image quality. Additionally, the inclusion of compressive sensing minimizes the measurements required for reconstruction, thereby reducing image post-processing and hardware requirements during network training. The result obtained indicates that the visual quality of the reconstructed images has increased from a structural similarity index (SSIM) value of 0.2 to 0.53. In this work, we demonstrate the efficiency of the proposed method in imaging and reconstructing transparent objects with the application of a compressive single pixel imaging technique and improving the image quality to a satisfactory level using the SRCNN algorithm.
Humic acid and nano-zeolite NaX as low cost and eco-friendly adsorbents for removal of Pb (II) and Cd (II) from water: characterization, kinetics, isotherms and thermodynamic studies
Authors: Masoud Mamdouh S. , Zidan Alyaa A. , El Zokm Gehan M. , Elsamra Rehab M. I. , Okbah Mohamed A. 
Published: April 2022

AbstractHumic acid as a green-sorbent was synthesized from marine sediments. While kaolin was modified to nano-zeolite NaX. Different tools such as FT-IR, SEM, EDX and XRD were applied to confirm the characteristics of the generated green-sorbents. Different factors such as pH, contact time, sorbent dosage, initial metal ion concentration, temperature and interfering ions were carefully examined and used to optimize the batch adsorption process for Cd2+ and Pb2+. A small dose of nano-zeolite of 100 mg was required to attain the maximum adsorption of Pb2+ at pH about 7, shacking time at 60 min and Pb2+ concentration at 30 ppm. Also, the maximum sorption capacity of Cd2+ ions on nano-zeolite was achieved in a neutral medium and very short contact time implying the economic feasibility of the adsorption process. In the case of humic acid, the maximum removal capacity for Pb2+ and Cd2+ was operated at acidic medium and shacking time was 40 min. Metal ions remediation results were evaluated by some adsorption isotherm models at different temperatures. The kinetic and thermodynamic variables were also computed. The data fitted very well with the linear Langmuir and the pseudo-second-order model implying a favourable adsorption process. The sorption of Cd2+ and Pb2+ was regulated by both external mass transfer and intraparticle diffusion steps over the whole range of concentrations, as shown by the results. The metal ions removal percentage from four real water samples by green sorbents were applied and provides good evidence of two sorbents as promising eco-sorbent for removal of heavy metal ions.
Theoretical positions and approaches to resilience assessment in farming systems. A review
Authors: van der Lee Jan , Kangogo Daniel , Gülzari Şeyda Özkan , Dentoni Domenico , Oosting Simon , Bijman Jos , Klerkx Laurens 
Published: April 2022

AbstractWith the concept of resilience being increasingly applied in farming systems research, there is general agreement that the resilience theory should be supported by sound assessment methodologies. Yet, in the extant literature, definitions and measures of resilience as a system outcome, a system capability or a process are often conflated, causing conceptual and methodological ambiguities. To overcome these limitations, here we systematically review the literature on assessing the resilience of farming systems and identify patterns, including similarities and differences in underpinning theories and in methodologies. We analyzed 123 papers on how the resilience of farming systems is conceptualized and assessed. From these papers, we identified four theoretical positions (“lenses”): traditional, vulnerability, capacities, and agroecology. These lenses differ and complement each other in terms of the outcome definition of resilience (stability, transformation, and reduced vulnerability), the prominent components of resilience (capacities, practices, and resources), and the perturbations that farming systems are exposed to (shocks, exposure, and sensitivity). Collectively, these lenses offer a novel causality framework with a complementary set of causal links between perturbations, components, and outcomes. This paper suggests for the first time that resilience assessment methodologies can be further developed by drawing from the strengths and complementarities of the different perspectives. Hence, this paper identifies five design choices that need to be made in order to rigorously assess the resilience of farming systems. These concern the choice of system traits, of perturbations, of type of resilience, of contributing factors, and of resilience outcomes that will be considered.
Welche Rolle spielt das fachdidaktische Wissen von Biologie-Referendar*innen für die Qualität ihrer Unterrichtsentwürfe?
Authors: Großmann Leroy , Krüger Dirk 
Published: April 2022

ZusammenfassungDie Unterrichtsplanung ist eine der Kernaufgaben von Lehrkräften. Insbesondere schriftliche Unterrichtsentwürfe gehören zum festen Bestandteil der Lehrkräftebildung. In ihnen zeigt sich das fachdidaktische Wissen (PCK), das in der Entwicklung und Begründung des Unterrichts genutzt wird und das als Prädiktor für hohe Unterrichtsqualität einerseits und für Lernerfolg von Schüler*innen andererseits gilt. Empirische Untersuchungen zu Unterrichtsentwürfen im Fach Biologie sowie zur Bedeutung des PCK in der Planung sind bislang rar, obwohl eine Untersuchung der Planungsprodukte angehender Biologie-Lehrkräfte Aufschluss darüber geben könnte, in welchen Bereichen die Ausbildungsinstitutionen der ersten und zweiten Phase der Lehrkräftebildung noch stärker unterstützend einwirken könnten. In der vorliegenden Studie werden Staatsexamensentwürfe im Fach Biologie (N = 46) untersucht, indem PCK-Elemente und ihre Vernetzungen mittels einer qualitativen Inhaltsanalyse identifiziert werden und analysiert wird, in welchen Aspekten sich gelungene von weniger gelungenen Unterrichtsentwürfen unterscheiden. Die Ergebnisse liefern Hinweise, dass die Qualität eines Unterrichtsentwurf mit der Vernetztheit des PCK korreliert. Allerdings zeigt ein qualitativer Fallvergleich, dass auch sehr gute Entwürfe eher schwach ausgeprägtes PCK enthalten können und vice versa, so dass die Anzahl der PCK-Verbindungen allein keinen hinreichenden Qualitätsindikator darstellt. Anhand ausgewählter Beispiele wird beschrieben und diskutiert, inwiefern sich in der Berücksichtigung von PCK-Elementen qualitative Unterschiede identifizieren lassen und welche Aspekte in Unterrichtsentwürfen besonders berücksichtigt werden sollten.
Using the MUSIC Inventory to Evaluate Pathology Courses: an Exploratory Study
Authors: Smith Christopher Dimick , Kenwright Diane , Gladman Tehmina 
Published: April 2022

Abstract
Background
The MUSIC Inventory evaluates student’s academic motivation across five constructs. We aimed to examine its use in undergraduate medical pathology courses.

Activity
Students from three pathology courses completed questions for three factors of the MUSIC Inventory plus one open-ended question. We conducted an exploratory analysis of the survey data.

Results
Results showed that the open-ended responses corresponded to differences in ratings on the MUSIC Inventory.

Discussion
Combining an open-ended question with the MUSIC Inventory identified differences in student motivation plus aspects of each course that could be improved. The MUSIC Inventory is an appropriate evaluation method for pathology teaching.
Source code auto-completion using various deep learning models under limited computing resources
Authors: Sharma Madhab , Mishra Tapas Kumar , Kumar Arun 
Published: April 2022

AbstractDeep learning models have become state of the art in many language modelling tasks. Among such tasks, source code auto-completion is one of the important areas of research. This paper presents various methodologies for source code auto-completion using different Deep Learning models for Python and CSharp Programming Languages. In a resource-limited environment, it is paramount to reduce various overheads: one way of achieving that is to use the code sequences to train and evaluate rather than using other code structures such as semantics. This paper compares various deep learning architectures like CodeGPT [1] from Microsoft, Roberta [2] from huggingface [3] and GPT2 [4] for source code auto-completion. Different dataset strategies are employed for comparison, such as (1) treating the whole code file as a single line, (2) using each line as single individual inputs, and (3) tokenizing the codes snippets before feeding them into the models. We consider the task of autocompletion on two different datasets: (1) Python dataset; (2) CSharp dataset. The Python dataset is processed by a fine-tuned CodeGPT with an overall accuracy of 71%. For the CSharp dataset with the GPT2 model, a PPL of 2.14 and 4.082 on the training and evaluation dataset is observed. Considering the results, we discuss the strength and weaknesses of different approaches in their application in the real world programming context.
Gas hydrates in nature and in the laboratory: necessary requirements for formation and properties of the resulting hydrate phase
Authors: Schicks Judith M. 
Published: April 2022

AbstractClathrate hydrates—also known as gas hydrates—are ice-like compounds consisting of gas and water molecules. They occur wherever elevated pressures and low temperatures prevail; and where enough water and hydrate-forming gas molecules are available. Therefore, natural gas hydrates occur at all active and passive continental margins, in permafrost regions, in some deep lakes, and under unfavorable circumstances, also, in pipelines. This article provides an overview of the (thermodynamic) requirements and various models for the nucleation and growth of gas hydrates and the different gas hydrate structures that may occur and which have been detected in nature. Furthermore, this study also shows the influence of the properties of the enclosed gas molecules such as size and shape on the structure and thermodynamic properties of the resulting hydrate phase. Finally, the complexity of a natural environment with regard to the various influences of sediments, microbial activity, and salinity of the pore fluid on hydrate formation is also discussed.
Crime, Families and the Economy: Micro-conditions as Moderator of Macro-effects
Authors: van de Werve Ilka , Blokland Arjan , Weerman Frank 
Published: April 2022

AbstractSince the early 1990s, increasing attention is being paid to the impact of life course transitions on criminal behavior. However, individuals’ life courses do not evolve in a vacuum but rather in the broad context of societal characteristics and developments. In this paper, we analyze whether there is an effect of macroeconomic circumstances on individuals’ criminal careers and whether this effect is conditional on marital status and parenthood. We employ micro-level data from a Dutch large-scale longitudinal study and enrich these with macro-level data. Using logistic panel data models for criminal behavior, we distinguish three types of effects: the macro-effect of experiencing declining economic times, the micro-effect of family composition and the interaction effect, indicating whether the effect of economic decline is differentiated by marital status and parenthood. We quantify economic decline either as an increase in the unemployment rate (objective and backward-looking measure) or as a decrease in consumer confidence (subjective and forward-looking). First, we find that an increase in the unemployment rate has no effect on criminal careers, but a decrease in the consumer confidence is associated with an increase in individual-level crime. Next, we confirm earlier results that marriage has a negative effect on crime, while parenthood has no effect. Finally, our results indicate that the detrimental effect of decreasing consumer confidence on criminal behavior is nullified for married individuals.
Polarization Measurement Method Based on Liquid Crystal Variable Retarder (LCVR) for Atomic Thin-Film Thickness
Authors: Yuan Yucong , Yao Chengyuan , Shen Wanfu , Hu Xiaodong , Hu Chunguang 
Published: April 2022

AbstractAtomic thickness thin films are critical functional materials and structures in atomic and close-to-atomic scale manufacturing. However, fast, facile, and highly sensitive precision measurement of atomic film thickness remains challenging. The reflected light has a dramatic phase change and extreme reflectivity considering the Brewster angle, indicating the high sensitivity of the optical signal to film thickness near this angle. Hence, the precision polarization measurement method focusing on Brewster angle is vital for the ultrahigh precision characterization of thin films. A precision polarization measurement method based on a liquid crystal variable retarder (LCVR) is proposed in this paper, and a measurement system with a high angular resolution is established. A comprehensive measurement system calibration scheme is also introduced to accommodate ultrahigh precision film thickness measurement. Repeatable measurement accuracy to the subnanometer level is achieved. Standard silicon oxide film samples of different thicknesses were measured around Brewster angle using the self-developed system and compared with a commercial ellipsometer to verify the measurement accuracy. The consistency of the thickness measurement results demonstrates the feasibility and robustness of the measurement method and calibration scheme. This study also demonstrates the remarkable potential of the LCVR-based polarization method for atomic film thickness measurement in ultraprecision manufacturing.
PHDD: Corpus of Physical Health Data Disclosure on Twitter During COVID-19 Pandemic
Authors: Saniei Rana , Rodríguez Doncel Víctor 
Published: April 2022

AbstractHealth-related information is considered as ‘highly sensitive’ by the European General Data Protection Regulations (GDPR) and determining whether a text document contains health-related information or not is of interest for both individuals and companies in a number of different scenarios. Although some efforts have been made to detect different categories of personal data in texts, including health information, the classification task by machines is still challenging. In this work, we aim to contribute to solving this challenge by building a corpus of tweets being shared in the current COVID-19 pandemic context. The corpus is called PHDD(Corpus of Physical Health Data Disclosure on Twitter During COVID-19 Pandemic) and contains 1,494 tweets which have been manually tagged by three taggers in three dimensions: health-sensitivity status, categories of health information, and subject of health history. Furthermore, a lightweight ontology called PTHI(Privacy Tags for Health Information), which reuses two other vocabularies, namely hl7 and dpv, is built to represent the corpus in a machine-readable format. The corpus is publicly available and can be used by NLP experts for implementation of techniques to detect sensitive health information in textual documents.
Treatments for Persistent Genital Arousal Disorder in Women: A Scoping Review
Authors: Martín-Vivar María , Villena-Moya Alejandro , Mestre-Bach Gemma , Hurtado-Murillo Felipe , Chiclana-Actis Carlos 
Published: April 2022

ABSTRACT

Background
Persistent genital arousal disorder (PGAD) is characterized by elevated discomfort associated with persistent genital arousal in the absence of sexual desire.

Aim
To perform a scoping review of the proposed treatments for PGAD and their efficacy.

Methods
A scoping review was carried out (PRISMA-Scr) that included articles on PGAD as the main disorder, only in women, which explained, in detail, the treatment and its efficacy, was empirical, was written in English and Spanish. No prior filtering by years was performed.

Outcomes
Three different effective treatments were found (physical therapies, pharmacological therapies, and psychotherapeutics in combination with other therapies).

Results
Thirty-eight articles were selected. From physical therapies, treatments using neuromodulation, transcutaneous electrical stimulation, Botox, surgery, electroconvulsive therapy, manual therapy, pelvic floor therapy, dietary changes, and transcranial magnetic stimulation showed effectiveness. Using the pharmacological approach, paroxetine, duloxetine, pramipexole, ropinirole, and clonazepam treatments were effective. Psychotherapy treatments showed effectiveness only in combination with other types of treatments, specifically a combination of cognitive–behavioral strategies with pharmacological treatment.

Clinical implications
Pharmacological treatment, specifically SSRIs, have proven to be the therapy of choice for different subtypes of patients.

Strengths and limitations
This study analyzed treatment effectiveness with different approaches and took into consideration those articles where psychotherapy was used as a combination treatment with pharmacological and physical therapy. The main limitation is that it was focused exclusively on women, and the results cannot be generalized to include men.

Conclusions
To date, a combination of pharmacological interventions with physical therapy and, in some occasions, with psychological therapy is main strategy followed to accomplish effective treatment of PGAD.