bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computational design of a broad-spectrum multi-epitope vaccine candidate against seven strains of human coronaviruses
Authors: Kumar Avinash , Rathi Ekta , Kini Suvarna Ganesh 
Published: August 2022

AbstractSpike (S) proteins are an attractive target as it mediates the binding of the SARS-CoV-2 to the host through ACE-2 receptors. We hypothesize that the screening of the S protein sequences of all the seven known HCoVs would result in the identification of potential multi-epitope vaccine candidates capable of conferring immunity against various HCoVs. In the present study, several machine learning-based in-silico tools were employed to design a broad-spectrum multi-epitope vaccine candidate targeting the S protein of seven known strains of human coronaviruses. Herein, multiple B-cell epitopes and T-cell epitopes (CTL and HTL) were predicted from the S protein sequences of all seven known HCoVs. Post-prediction they were linked together with an adjuvant to construct a potential broad-spectrum vaccine candidate. Secondary and tertiary structures were predicted and validated, and the refined 3D-model was docked with an immune receptor. The vaccine candidate was evaluated for antigenicity, allergenicity, solubility, and its ability to achieve high-level expression in bacterial hosts. Finally, the immune simulation was carried out to evaluate the immune response after three vaccine doses. The designed vaccine is antigenic (with or without the adjuvant), non-allergenic, binds well with TLR-3 receptor and might elicit a diverse and strong immune response.
Protected area designation and management in a world of climate change: A review of recommendations
Authors: Ranius Thomas , Widenfalk Lina A. , Seedre Meelis , Lindman Ly , Felton Adam , Hämäläinen Aino , Filyushkina Anna , Öckinger Erik 
Published: August 2022

AbstractClimate change is challenging conservation strategies for protected areas. To summarise current guidance, we systematically compiled recommendations from reviews of scientific literature (74 reviews fitting inclusion criteria) about how to adapt conservation strategies in the face of climate change. We focussed on strategies for designation and management of protected areas in terrestrial landscapes, in boreal and temperate regions. Most recommendations belonged to one of five dominating categories: (i) Ensure sufficient connectivity; (ii) Protect climate refugia; (iii) Protect a few large rather than many small areas; (iv) Protect areas predicted to become important for biodiversity in the future; and (v) Complement permanently protected areas with temporary protection. The uncertainties and risks caused by climate change imply that additional conservation efforts are necessary to reach conservation goals. To protect biodiversity in the future, traditional biodiversity conservation strategies should be combined with strategies purposely developed in response to a warming climate.
Dividing practices: Senior English and social inequality in New South Wales
Authors: Green Bill , Sawyer Wayne , Roberts Philip 
Published: August 2022

AbstractThe role and significance of schooling in maintaining and renewing social disadvantage is particularly evident in upper secondary education, and especially so in the high-stakes final examination at the end of Year 12. This paper focusses on Senior English in this context, with specific regard to the Australian state of New South Wales. Building on a recent study of the outcomes of the Higher School Certificate (HSC) in 2017, it analyses what the data reveal about the relationship between Senior English and social inequality in this instance. It does so with reference to a brief account of the history of English teaching and senior secondary curriculum policy in New South Wales and also, comparatively, a now well-established comprehensive study of senior secondary schooling in Victoria. It concludes with some implications of this account for further investigations of Senior English and subject English more generally, as well as of the social meaning of senior secondary education in Australia, in particular with regard to the nexus between curriculum and assessment, knowledge, and power.
A yield comparison between small-plot and on-farm foliar fungicide trials in soybean and maize
Authors: Laurent Anabelle , Heaton Emily , Kyveryga Peter , Makowski David , Puntel Laila A. , Robertson Alison E. , Thompson Laura , Miguez Fernando 
Published: August 2022

AbstractAgronomic research provides management recommendations based on small-plot trials (SPTs) and on-farm trials (OFTs) with very different characteristics. SPTs are traditionally conducted at agricultural experiment stations by research institutes or universities, while OFTs are conducted under commercial-scale conditions and managed by farmers using their own equipment. Several researchers claimed that discrepancies could occur between these two types of trials, which can make the extrapolation of results from SPTs to the farm level difficult. In our study, we conducted an extensive comparison of small-plot and on-farm trials to analyze the effect of foliar fungicide application on maize and soybean yields. We collected data on maize and soybean from five US states. Analysis of the soybean data showed similar mean yield responses and within-trial standard deviation to fungicide application between 479 OFTs and 83 SPTs. For maize, our comparison of 300 OFTs and 114 SPTs showed similar mean yield response in both. Nevertheless, the within-trial standard deviation was three times smaller in on-farm compared to small-plot trials. On the other hand, the between-trial standard deviation (measuring the variability of the effects of fungicide application across different environments) was almost twice as large in SPTs than in OFTs for both crops. Hence, the differences in the effects of fungicide on yield were similar whether they were estimated using OFTs or SPTs for both crops. This implies that OFTs can potentially detect significant yield differences with fewer replicates and thus reduce the cost of data generation. We argue that SPTs can be seen as a preliminary step before scaling up to OFTs to facilitate technology transfer and extrapolate the results in real farming conditions.
Serum soluble interleukin-2 receptor (sIL-2R) is an accurate biomarker for dengue-associated hemophagocytic lymphohistiocytosis syndrome diagnosed by Hscore
Authors: Mahabala Chakrapani , Koushik Vivek K. , Manjrekar Poornima A. , Balanthimogru Prashantha 
Published: August 2022

Abstract
Objective
Hemophagocytic lymphohistiocytosis is a potentially fatal complication of severe dengue fever. Here we evaluated the serum soluble IL-2R levels as potential biomarker for identifying HLH in patients with dengue fever.

Methods
In this cross-sectional study conducted in a tertiary care center of a teaching hospital, subjects with dengue and fever of more than 5 days, leukopenia/thrombocytopenia and/or hepatosplenomegaly were studied. Data were collected to compare sIL-2R values and serum ferritin with Hscore and Histiocyte Society 2004 criteria. Relevant statistical methods were used.

Results
80 subjects with severe dengue fever were analyzed with relevant investigations. Mean H score was 219.2 ± 17.6 in 18 dengue patients with HLH v/s 166.2 ± 11.2 in 62 patients without HLH (p =  < 0.001). Serum ferritin (11,230.5 v/s 7853.5, p = 0.013) and sIL-2R (32,917.5 v/s 6210, p = < 0.001) were significantly higher in those patients with HLH. sIL-2R correlated very well with HScore (r = 0.98, p < 0.001) compared to ferritin (r = 0.51, p < 0.001) with an AUROC of 1.00 compared to 0.694 (95% CI 0.557–0.831) of serum ferritin for diagnosing HLH. A cut-off value of 10,345 pg/ml for sIL-2R had a sensitivity and specificity of 100% for HLH, whereas, a ferritin value of 8613 ng/ml had only 67% sensitivity and 55% specificity.

Conclusion
sIL-2R could be a single most useful biomarker to differentiate dengue fever patients who are likely to progress to HLH, from those that are not. Full workup for HLH could be limited only to those patients with elevated sIL-2R, especially in resource limited settings.
Ketogenic diet and ketamine infusion treatment to target chronic persistent eating disorder psychopathology in anorexia nervosa: a pilot study
Authors: Calabrese Lori , Scolnick Barbara , Zupec-Kania Beth , Beckwith Caroline , Costello Kayla , Frank Guido K. W. 
Published: August 2022

Abstract
Purpose
Anorexia nervosa (AN) is a severe psychiatric disorder, and shape and weight concerns are often chronic despite weight normalization. No specific treatments exist for those preoccupations that interfere with recovery and trigger relapse. A case study using a ketogenic diet followed by ketamine infusions led to sustained remission in one patient with chronic AN. Here we conducted an open-label trial to test whether this response could be replicated.

Methods
Five adults weight recovered from AN but with persistent eating disorder thoughts and behaviors adopted a therapeutic ketogenic diet (TKD) aimed at maintaining weight. After sustaining nutritional ketosis, participants received six ketamine infusions and were followed over 6 months.

Results
All participants completed the study protocol without significant adverse effects. Two participants maintained TKD for 8 weeks prior to ketamine infusions due to good behavioral response and remained on TKD. Three participants received TKD for 4 weeks prior to and during ketamine, then tapered off after the final infusion. The group showed significant improvements on the Clinical Impairment Assessment (p = 0.008), Eating Disorder Examination Questionnaire (EDEQ) Global score (p = 0.006), EDEQ-Eating Concerns (p = 0.005), EDEQ-Shape Concerns (p = 0.016), EDEQ-Weight Concerns (p = 0.032), Eating Disorders Recovery Questionnaire (EDRQ) Acceptance of Self and Body (0.027) and EDRQ-Social and Emotional Connection (p = 0.001). Weight remained stable, except for one participant who relapsed 4 months after treatment and off TKD.

Conclusion
This novel treatment appears to be safe and effective for adults with chronic AN-related psychopathology. The results from this open trial support that there are specific neurobiological underpinnings of AN that can be normalized using TKD and ketamine.

Level of evidence
Level IV, multiple time series with intervention
A fast and efficient algorithm for DNA sequence similarity identification
Authors: Uddin Machbah , Islam Mohammad Khairul , Hassan Md. Rakib , Jahan Farah , Baek Joong Hwan 
Published: August 2022

AbstractDNA sequence similarity analysis is necessary for enormous purposes including genome analysis, extracting biological information, finding the evolutionary relationship of species. There are two types of sequence analysis which are alignment-based (AB) and alignment-free (AF). AB is effective for small homologous sequences but becomes NP-hard problem for long sequences. However, AF algorithms can solve the major limitations of AB. But most of the existing AF methods show high time complexity and memory consumption, less precision, and less performance on benchmark datasets. To minimize these limitations, we develop an AF algorithm using a 2D $$k-mer$$

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count matrix inspired by the CGR approach. Then we shrink the matrix by analyzing the neighbors and then measure similarities using the best combinations of pairwise distance (PD) and phylogenetic tree methods. We also dynamically choose the value of k for $$k-mer$$

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. We develop an efficient system for finding the positions of $$k-mer$$

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in the count matrix. We apply our system in six different datasets. We achieve the top rank for two benchmark datasets from AFproject, 100% accuracy for two datasets (16 S Ribosomal, 18 Eutherian), and achieve a milestone for time complexity and memory consumption in comparison to the existing study datasets (HEV, HIV-1). Therefore, the comparative results of the benchmark datasets and existing studies demonstrate that our method is highly effective, efficient, and accurate. Thus, our method can be used with the top level of authenticity for DNA sequence similarity measurement.
Achieving Ultra-Wideband and Elevated Temperature Electromagnetic Wave Absorption via Constructing Lightweight Porous Rigid Structure
Authors: Jiao Zibao , Huyan Wenjun , Yang Feng , Yao Junru , Tan Ruiyang , Chen Ping , Tao Xuewei , Yao Zhengjun , Zhou Jintang , Liu Peijiang 
Published: August 2022

AbstractRealizing ultra-wideband absorption, desirable attenuation capability at high temperature and mechanical requirements for real-life applications remains a great challenge for microwave absorbing materials. Herein, we have constructed a porous carbon fiber/polymethacrylimide (CP) structure for acquiring promising microwave absorption performance and withstanding both elevated temperature and high strength in a low density. Given the ability of porous structure to induce desirable impedance matching and multiple reflection, the absorption bandwidth of CP composite can reach ultra-wideband absorption of 14 GHz at room temperature and even cover the whole X-band at 473 K. Additionally, the presence of imide ring group in polymethacrylimide and hard bubble wall endows the composite with excellent heat and compressive behaviors. Besides, the lightweight of the CP composite with a density of only 110 mg cm−3 coupled with high compressive strength of 1.05 MPa even at 453 K also satisfies the requirements in engineering applications. Compared with soft and compressible aerogel materials, we envision that the rigid porous foam absorbing material is particularly suitable for environmental extremes.
The Importance of Living Arrangements for Criminal Persistence and Desistance: A Novel Test of Exposure to Convicted Family Members
Authors: Hassan Said , Kirk David S. , Andersen Lars Højsgaard 
Published: August 2022

AbstractLeveraging the richness of population register data in Denmark, this study provides an in-depth examination of the residential situations of the formerly incarcerated over the first 3 years after prison. These data allow us to examine precisely who former prisoners reside with after release, and whether the characteristics of housemates, such as prior conviction status, and relationship type, such as familial ties, are associated with criminal reconviction. While Denmark has one of the lowest incarceration rates in the world, like many other Western countries, it is challenged by high recidivism rates among the formerly incarcerated. Using data on the population of all individuals released from prison between 1991 and 2014 and estimation via Cox proportional hazards models, we find that formerly incarcerated individuals who move into a residence with other individuals with criminal records have significantly greater hazards of reconviction, even after controlling for an extensive set of observed confounders. Residing with family members, particularly spouses, significantly reduces the likelihood of recidivism, but only if the family members do not have a recent criminal conviction. Results underscore the importance of housing arrangements and family ties during the post-release period.
Ästhetik des Überlebens: Die Hütte als experimentelle Kontaktszene in Romanen von Marlen Haushofer, Laura Beatty und Céline Minard
Authors: Nitzke Solvejg 
Published: August 2022

ZusammenfassungDie Hütte ist ein modernes Symbol für den Traum von einem ›alternativen‹ Leben. Sie verspricht denjenigen Vereinfachung und Entschleunigung, die die Freiheit besitzen, sich zu beschränken. Deshalb geben fiktionale Hütten Auskunft darüber, was eine Gesellschaft an sich selbst letztlich überflüssig findet. Darüber hinaus etabliert sich die Hütte im Rahmen der industriellen Revolution als Labor für Beziehungsweisen zwischen Menschen, aber auch zwischen Menschen und Nicht-Menschen. Ausgehend von den Paradigmen der Hütten-Imagination seit dem 19. Jahrhundert untersucht dieser Artikel drei Romane, die die Hütte nutzen, um experimentelle Kontaktszenen zu erkunden. Indem sie generische Konventionen an entscheidenden Stellen verschieben, können sie den zugleich kulturkritischen und sentimentalen Hüttentraum stören und in Frage stellen. Marlen Haushofers Die Wand, Laura Beattys Pollard und Céline Minards Le grand jeu produzieren vielmehr ein Wissen, dass seine epistemischen Bedingungen als epistemologische und kulturelle Inszenierung mitdenkt.
Features Importance and Their Impacts on the Properties of Asphalt Mixture Modified with Plastic Waste: A Machine Learning Modeling Approach
Authors: Vargas Camilo , Hanandeh Ali El 
Published: August 2022

AbstractPlastic asphalt mixtures (PAM) have attracted extensive attention lately; however, their application in the field has not been so common because of the lack of clear understanding of the behavior of the asphalt mix after modification. In the interest of closing this gap, a modeling tool able to estimate the plastic effect on asphalt mixtures properties is needed. Nevertheless, the suggestion of a generalized model is complex due to the numerous variables involved. To facilitate this process, the present article aims to expand the current knowledge about PAM modeling by providing a clearer understanding of what variables have the highest impact on PAM properties. To do so, data from previous articles have been gathered and machine learning and shapley additive explanation values have been applied. PAM properties assessed were air voids, Marshall stability, Marshall flow, indirect tensile strength, and tensile strength ratio. Overall, the features with the highest impact are plastic type and content (35%), aggregates gradation (35%), aggregates absorption (9%), bitumen content (8%), mixing technique (4%), and bitumen penetration (3%). The final proposed models extend the application of previous machine learning models and feature importance understanding, and, in the field, they can serve as an initial estimate of the plastic effect on different asphalt mixture types. It is suggested that future articles intending to model PAM should consider these critical features during model formulation, and articles evaluating new types of PAM should clearly report these properties, for they might be the basis of these generalized future models.
The roles of cellular protease interactions in viral infections and programmed cell death: a lesson learned from the SARS-CoV-2 outbreak and COVID-19 pandemic
Authors: Majchrzak Martyna , Poręba Marcin 
Published: August 2022

AbstractThe unprecedented pandemic of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), which leads to COVID-19, is threatening global health. Over the last 2 years, we have witnessed rapid progress in research focusing on developing new antiviral vaccines and drugs, as well as in academic and clinical efforts to understand the biology and pathology of COVID-19. The roles of proteases among master regulators of SARS-CoV-2 invasion and replication and their pivotal roles in host defence against this pathogen, including programmed cell death, have not been well established. Our understanding of protease function in health and disease has increased considerably over the last two decades, with caspases, matrix metalloproteases, and transmembrane serine proteases representing the most prominent examples. Therefore, during the COVID-19 pandemic, these enzymes have been investigated as potential molecular targets for therapeutic interventions. Proteases that are responsible for SARS-CoV-2 cell entry and replication, such as TMPRSS2, ACE2 or cathepsins, are screened with inhibitor libraries to discover lead structures for further drug design that would prevent virus multiplication. On the other hand, proteases that orchestrate programmed cell death can also be harnessed to enhance the desired demise of infected cells through apoptosis or to attenuate highly inflammatory lytic cell death that leads to undesired cytokine storms, a major hallmark of severe COVID-19. Given the prominent role of proteases in SARS-CoV-2-induced cell death, we discuss the individual roles of these enzymes and their catalytic interactions in the pathology of COVID-19 in this article. We provide a rationale for targeting proteases participating in cell death as potential COVID-19 treatments and identify knowledge gaps that might be investigated to better understand the mechanism underlying SARS-CoV-2-induced cell death.
The uselessness of AI ethics
Authors: Munn Luke 
Published: August 2022

AbstractAs the awareness of AI’s power and danger has risen, the dominant response has been a turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in both the public and private sector in the last several years. However, these aremeaningless principleswhich are contested or incoherent, making them difficult to apply; they areisolated principlessituated in an industry and education system which largely ignores ethics; and they aretoothless principleswhich lack consequences and adhere to corporate agendas. For these reasons, I argue that AI ethical principles are useless, failing to mitigate the racial, social, and environmental damages of AI technologies in any meaningful sense. The result is a gap between high-minded principles and technological practice. Even when this gap is acknowledged and principles seek to be “operationalized,” the translation from complex social concepts to technical rulesets is non-trivial. In a zero-sum world, the dominant turn to AI principles is not just fruitless but a dangerous distraction, diverting immense financial and human resources away from potentially more effective activity. I conclude by highlighting alternative approaches to AI justice that go beyond ethical principles: thinking more broadly about systems of oppression and more narrowly about accuracy and auditing.
An overview of the tropical cyclone database at the Central Weather Bureau of Taiwan
Authors: Jian Guo-Ji , Teng Jen-Hsin , Wang Shih-Ting , Cheng Ming-Dean , Cheng Chia-Ping , Chen Jen-Her , Chu Yen-Ju 
Published: August 2022

AbstractTaiwan’s Central Weather Bureau (CWB) has established a new version of tropical cyclone (TC) database to provide users with comprehensive TC data services. As of June 2022, the database includes 1673 TCs originating in the western North Pacific and South China Sea regions since the CWB began TC forecasting operations in 1958. It collects not only the track dataset, satellite imagery, and synoptic weather charts, but also more detailed data and products of TCs that have impacted Taiwan, such as radar reflectivity imagery, high-density surface observations, dropwindsonde data from aircraft observations, and mesoscale analysis maps of rainfall, wind, pressure, and temperature. Such detailed data realistically preserves the TC’s journey across Taiwan and is a feature of the CWB TC database. In addition, the TC database website (https://rdc28.cwb.gov.tw/TDB/) provides tools that allow users to search for TCs of interest based on track, rainfall, and wind. Digital best track data since 1958 is available (https://rdc28.cwb.gov.tw/TDB/manager/obs_data_download/) for users to download and conduct TC research. Also included are technical reports summarizing extensive historical observational research focusing on the mesoscale variations during a TC’s passage over Taiwan. The TC database has been widely used in academic research, disaster prevention, crop revenue insurance, offshore wind power, and other fields. It will continue to develop useful products and integrate more diverse observations to meet the needs of different users.