bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Advances and Perspectives on the Health Benefits of Urolithin B, A Bioactive Natural Product Derived From Ellagitannins
Authors: Chen Peng , Guo Zhiei , Chen Fuchao , Wu Yue , Zhou Benhong
Published: June 2022

Urolithin (Uro) B is a natural compound produced by gut bacteria from ingested ellagitannins (ETs) and ellagic acid (EA), complex polyphenols abundant in foods such as pomegranates, raspberries, blueberries and chestnuts. Uro B has recently garnered considerable attention owing to its wide range of nutraceutical effects and relatively high potency. According to several studies, Uro B prevents the development of hyperlipidemia, cardiovascular disease (CVD) and tumors due to its strong antioxidant and anti-inflammatory properties. Many reviews have systematically summarized the health benefits and pharmacological activities of ETs, EA and urolithins (especially Uro A) while available reviews or detailed summaries on the positive impact of Uro B are rarer. Here, we sought to review the pharmacological activity, mechanism of action, regulation of immune function and its associated diseases and preventive potential of Uro B to elucidate its function as a nutritional agent in humans.
Discovery of Quercetin and Its Analogs as Potent OXA-48 Beta-Lactamase Inhibitors
Authors: Zhang Yuejuan , Chen Cheng , Cheng Bin , Gao Lei , Qin Chuan , Zhang Lixia , Zhang Xu , Wang Jun , Wan Yi
Published: June 2022

Carbapenem resistance in Enterobacteriaceae caused by OXA-48 β-lactamase is a growing global health threat and has rapidly spread in many regions of the world. Developing inhibitors is a promising way to overcome antibiotic resistance. However, there are few options for problematic OXA-48. Here we identified quercetin, fisetin, luteolin, 3′,4′,7-trihydroxyflavone, apigenin, kaempferol, and taxifolin as potent inhibitors of OXA-48 with IC50 values ranging from 0.47 to 4.54 μM. Notably, the structure-activity relationship revealed that the substitute hydroxyl groups in the A and B rings of quercetin and its structural analogs improved the inhibitory effect against OXA-48. Mechanism studies including enzymatic kinetic assay, isothermal titration calorimetry (ITC), and surface plasmon resonance (SPR) analysis demonstrated that quercetin reversibly inhibited OXA-48 through a noncompetitive mode. Molecular docking suggested that hydroxyl groups at the 3′, 4′ and 7 positions in flavonoids formed hydrogen-bonding interactions with the side chains of Thr209, Ala194, and Gln193 in OXA-48. Quercetin, fisetin, luteolin, and 3′,4′,7-trihydroxyflavone effectively restored the antibacterial efficacy of piperacillin or imipenem against E. coli producing OXA-48, resulting in 2–8-fold reduction in MIC. Moreover, quercetin combined with piperacillin showed antimicrobial efficacy in mice infection model. These studies provide potential lead compounds for the development of β-lactamase inhibitors and in combination with β-lactams to combat OXA-48 producing pathogen.
Modeling Human Cardiac Thin Filament Structures
Authors: Rynkiewicz Michael J. , Pavadai Elumalai , Lehman William
Published: June 2022

Striated muscle contraction is regulated in a calcium-dependent manner through dynamic motions of the tropomyosin/troponin polymer, a multicomponent complex wrapped around actin-containing thin filaments. Tropomyosin/troponin sterically blocks myosin-binding at low-calcium concentrations but moves to expose myosin-binding sites at high-calcium concentrations leading to force development. Understanding the key intermolecular interactions that define these dynamic motions will promote our understanding of mutation-induced contractile dysfunction that eventually leads to hypertrophic cardiomyopathy, dilated cardiomyopathy, and skeletal myopathies. Advancements in cryoelectron microscopy (cryoEM) have resulted in a partial elucidation of structures of the thin filament, revealing many atomic-level interactions between the component proteins and critical calcium-dependent conformational alterations. However, building models at the resolutions achieved can be challenging since landmarks in the maps are often missing or ambiguous. Therefore, current computational analyses including de novo structure prediction, protein-protein docking, molecular dynamics flexible fitting, and molecular dynamics simulations are needed to ensure good quality models. We review here our efforts to model the troponin T domain spanning the head-to-tail overlap domain of tropomyosin, improving previous models. Next, we refined the published cryoEM modeled structures, which had mistakenly compressed alpha helices, with a model that has expected helical parameters while matching densities in the cryoEM volume. Lastly, we used this model to reinterpret the interactions between tropomyosin and troponin I showing key features that hold the tropomyosin cable in its low-calcium, sterically blocking position. These revised thin filament models show improved intermolecular interactions in the key low- and high-calcium regulatory states, providing novel insights into function.
Reproductive Isolation Among Three Nocturnal Moth-Pollinated Sympatric Habenaria Species (Orchidaceae)
Authors: Zhang Hai-Ping , Tao Zhi-Bin , Trunschke Judith , Shrestha Mani , Scaccabarozzi Daniela , Wang Hong , Ren Zong-Xin
Published: June 2022

Comparison and quantification of multiple pre- and post-pollination barriers to interspecific hybridization are important to understand the factors promoting reproductive isolation. Such isolating factors have been studied recently in many flowering plant species which seek after the general roles and relative strengths of different pre- and post-pollination barriers. In this study, we quantified six isolating factors (ecogeographic isolation, phenological isolation, pollinator isolation, pollinia-pistil interactions, fruit production, and seed development) that could possibly be acting as reproductive barriers at different stages among three sympatricHabenariaspecies (H. limprichtii,H. davidii, andH. delavayi). These three species overlap geographically but occupy different microhabitats varying in soil water content. They were isolated through pollinator interactions both ethologically (pollinator preference) and mechanically (pollinia attachment site), but to a variable degree for different species pairs. Interspecific crosses betweenH. limprichtiiandH. davidiiresult in high fruit set, and embryo development suggested weak post-pollination barriers, whereas bidirectional crosses ofH. delavayiwith either of the other two species fail to produce fruits. Our results revealed that pollinators were the most important isolating barrier including both ethological and mechanical mechanisms, to maintain the boundaries among these three sympatricHabenariaspecies. Our study also highlights the importance of a combination of pre-and post-pollination barriers for species co-existence in Orchidaceae.
The Role of Hydroxycinnamic Acid Amide Pathway in Plant Immunity
Authors: Liu Saifei , Jiang Jincheng , Ma Zihui , Xiao Muye , Yang Lan , Tian Binnian , Yu Yang , Bi Chaowei , Fang Anfei , Yang Yuheng
Published: June 2022

The compounds involved in the hydroxycinnamic acid amide (HCAA) pathway are an important class of metabolites in plants. Extensive studies have reported that a variety of plant hydroxycinnamamides exhibit pivotal roles in plant–pathogen interactions, such as p-coumaroylagmatine and ferulic acid. The aim of this review is to discuss the emerging findings on the functions of hydroxycinnamic acid amides (HCAAs) accumulation associated with plant defenses against plant pathologies, antimicrobial activity of HCAAs, and the mechanism of HCAAs involved in plant immune responses (such as reactive oxygen species (ROS), cell wall response, plant defense hormones, and stomatal immunity). However, these advances have also revealed the complexity of HCAAs participation in plant defense reactions, and many mysteries remain to be revealed. This review provides an overview of the mechanistic and conceptual insights obtained so far and highlights areas for future exploration of phytochemical defense metabolites.
Connectivity Between Russian Information Sources and Extremist Communities Across Social Media Platforms
Authors: Leahy Rhys , Restrepo Nicholas Johnson , Sear Richard , Johnson Neil F.
Published: June 2022

The current military conflict between Russia and Ukraine is accompanied by disinformation and propaganda within the digital ecosystem of social media platforms and online news sources. One month prior to the conflict's February 2022 start, a Special Report by the U.S. Department of State had already highlighted concern about the extent to which Kremlin-funded media were feeding the online disinformation and propaganda ecosystem. Here we address a closely related issue: how Russian information sources feed into online extremist communities. Specifically, we present a preliminary study of how the sector of the online ecosystem involving extremist communities interconnects within and across social media platforms, and how it connects into such official information sources. Our focus here is on Russian domains, European Nationalists, and American White Supremacists. Though necessarily very limited in scope, our study goes beyond many existing works that focus on Twitter, by instead considering platforms such as VKontakte, Telegram, and Gab. Our findings can help shed light on the scope and impact of state-sponsored foreign influence operations. Our study also highlights the need to develop a detailed map of the full multi-platform ecosystem in order to better inform discussions aimed at countering violent extremism.
An Argument-Based Validation of an Asynchronous Written Interaction Task
Authors: Chen Ting
Published: June 2022

Interactional competence has attracted increasing attention due to its significance for language users. Previous studies concerning interactional competence mainly focus on synchronous interaction tasks, while the utilization of asynchronous interaction tasks is relatively under-explored despite the importance of asynchronous interaction in real life. Taking the “Responding To Forum Posts” (RTFP) task used in the International Undergraduate English Entrance Examination (IUEEE) at Shanghai Jiao Tong University (SJTU) as an example, the study aims to validate the use of asynchronous interaction tasks in the assessment of learner’s interactional competence. 49 students’ performances on the RTFP task were collected through a prototype test of the IUEEE in 2021. The data were analyzed through content analysis, analysis of variance, and ordinal logistic regression. The results showed that the task elicited a wide range of interactional features and test-takers at different proficiency levels differed significantly in the variety of features and the amount of emotion-based interaction. The study also found significant correlations between some of the features and test takers’ overall performance on interactional competence. The study has provided validity evidence for the RTFP task in the assessment of interactional competence and thrown light on the construct of asynchronous written interactional competence.
Corporate Governance and Humble Leadership as Antecedents of Corporate Financial Performance: Monetary Incentive as a Moderator
Authors: Zahoor Sajjad , Yang Shuili , Ren Xiaoyan , Haider Syed Arslan
Published: June 2022

Investors' confidence in the financial market is boosted by good corporate governance (CG). Good governance builds trust and improves an organization's financial performance (FP). However, organizations with bad management lose the trust of their stakeholders because they do not perform well financially. Therefore, the purpose of this study is to examine the influence of CG 89; on FP through mediating the role of humble leadership (HL) and monetary incentive (MI) as a moderator between CG and HL. Data were collected from 300 respondents who were working in various cement manufacturing organizations located in different cities of Pakistan. The analysis was performed using SPSS software version 25 and AMOS version 22 software to work out the study sample size. The result revealed that the framework of CG has a positive impact in terms of FP. Furthermore, HL positively and significantly mediates on CG, and FP is inextricably linked. However, MI acts as a moderator between CG and HL, but despite strengthening, it weakens the impact of CG' on HL. This study contributes toward the literature, specifically toward the expectancy theory literature. Finally, some theoretical and practical implications at the organizational level are offered, describing how CG influences FP within the organization, and research limitations and future directions are presented.
Measurement of Lexical Diversity in Children’s Spoken Language: Computational and Conceptual Considerations
Authors: Yang Ji Seung , Rosvold Carly , Bernstein Ratner Nan
Published: June 2022

Background

Type-Token Ratio (TTR), given its relatively simple hand computation, is one of the few LSA measures calculated by clinicians in everyday practice. However, it has significant well-documented shortcomings; these include instability as a function of sample size, and absence of clear developmental profiles over early childhood. A variety of alternative measures of lexical diversity have been proposed; some, such as Number of Different Words/100 (NDW) can also be computed by hand. However, others, such as Vocabulary Diversity (VocD) and the Moving Average Type Token Ratio (MATTR) rely on complex resampling algorithms that cannot be conducted by hand. To date, no large-scale study of all four measures has evaluated how well any capture typical developmental trends over early childhood, or whether any reliably distinguish typical from atypical profiles of expressive child language ability.

Materials and Methods

We conducted linear and non-linear regression analyses for TTR, NDW, VocD, and MATTR scores for samples taken from 946 corpora from typically developing preschool children (ages 2–6 years), engaged in adult-child toy play, from the Child Language Data Exchange System (CHILDES). These were contrasted with 504 samples from children known to have delayed expressive language skills (total n = 1,454 samples). We also conducted a separate sub-analysis which examined possible contextual effects of sampling environment on lexical diversity.

Results

Only VocD showed significantly different mean scores between the typically -developing children and delayed developing children group. Using TTR would actually misdiagnose typical children and miss children with known language impairment. However, computation of VocD as a function of toy interactions was significant and emerges as a further caution in use of lexical diversity as a valid proxy index of children’s expressive vocabulary skill.

Discussion

This large scale statistical comparison of computer-implemented algorithms for expressive lexical profiles in young children with traditional, hand-calculated measures showed that only VocD met criteria for evidence-based use in LSA. However, VocD was impacted by sample elicitation context, suggesting that non-linguistic factors, such as engagement with elicitation props, contaminate estimates of spoken lexical skill in young children. Implications and suggested directions are discussed.
How Difficult Was It? Metacognitive Judgments About Problems and Their Solutions After the Aha Moment
Authors: Moroshkina Nadezhda V. , Savina Alina I. , Ammalainen Artur V. , Gershkovich Valeria A. , Zverev Ilia V. , Lvova Olga V.
Published: June 2022

The insight phenomenon is thought to comprise two components: cognitive and affective (the Aha! experience). The exact nature of the Aha! experience remains unclear; however, several explanations have been put forward. Based on the processing fluency account, the source of the Aha! experience is a sudden increase in processing fluency, associated with emerging of a solution. We hypothesized that in a situation which the Aha! experience accompanies the solution in, the problem would be judged as less difficult, regardless of the objective difficulty. We also planned to confirm previously discovered associations between the Aha! experience and accuracy, confidence, and pleasure. To test the proposed hypothesis, during the preliminary stage of the study, we developed a set of 100 remote associate problems in Russian (RAT-RUS) and asked 125 participants to solve problems and indicate the Aha! moment (after solution generation or solution presentation), confidence, difficulty, and likability of each problem. As expected, the Aha! experience often accompanied correct solutions and correlated with confidence judgments. We also found a positive correlation between the Aha! experience and problem likability. As for the main hypothesis, we confirmed that the Aha! experience after the presentation of the solution was associated with a decrease in subjective difficulty. When participants could not solve a problem but experienced the Aha! moment after the solution was presented to them, the problem was perceived as easier than one without the Aha! experience. We didn’t find the same effect for the Aha! after solution generation. Thus, our study partially supports the processing fluency account and demonstrates the association between the Aha! experience and metacognitive judgments about the accuracy and difficulty of problems.
Digital Therapeutic Alliance With Fully Automated Mental Health Smartphone Apps: A Narrative Review
Authors: Tong Fangziyun , Lederman Reeva , D'Alfonso Simon , Berry Katherine , Bucci Sandra
Published: June 2022

Fully automated mental health smartphone apps show strong promise in increasing access to psychological support. Therefore, it is crucial to understand how to make these apps effective. The therapeutic alliance (TA), or the relationship between healthcare professionals and clients, is considered fundamental to successful treatment outcomes in face-to-face therapy. Thus, understanding the TA in the context of fully automated apps would bring us insights into building effective smartphone apps which engage users. However, the concept of a digital therapeutic alliance (DTA) in the context of fully automated mental health smartphone apps is nascent and under-researched, and only a handful of studies have been published in this area. In particular, no published review paper examined the DTA in the context of fully automated apps. The objective of this review was to integrate the extant literature to identify research gaps and future directions in the investigation of DTA in relation to fully automated mental health smartphone apps. Our findings suggest that the DTA in relation to fully automated smartphone apps needs to be conceptualized differently to traditional face-to-face TA. First, the role of bond in the context of fully automated apps is unclear. Second, human components of face-to-face TA, such as empathy, are hard to achieve in the digital context. Third, some users may perceive apps as more non-judgmental and flexible, which may further influence DTA formation. Subdisciplines of computer science, such as affective computing and positive computing, and some human-computer interaction (HCI) theories, such as those of persuasive technology and human-app attachment, can potentially help to foster a sense of empathy, build tasks and goals and develop bond or an attachment between users and apps, which may further contribute to DTA formation in fully automated smartphone apps. Whilst the review produced a relatively limited quantity of literature, this reflects the novelty of the topic and the need for further research.
Distinct Patterns of Cognitive Outcome in Young Children With Autism Spectrum Disorder Receiving the Early Start Denver Model
Authors: Godel Michel , Robain François , Kojovic Nada , Franchini Martina , Wood de Wilde Hilary , Schaer Marie
Published: June 2022

Evidence-based, early intervention significantly improves developmental outcome in young children with autism. Nonetheless, there is high interindividual heterogeneity in developmental trajectories during the therapy. It is established that starting intervention as early as possible results in better developmental outcomes. But except for younger age at start, there is no clear consensus about behavioral characteristics that could provide a reliable individual prediction of a child's developmental outcome after receiving an early intervention. In this study, we analyze developmental trajectories of preschoolers with autism who received 2 years of intervention using the Early Start Denver Model (ESDM) approach in Geneva, Switzerland in an individual setting (n = 55, aged 28.7 ± 5.1 months with a range of 15–42). Our aim was to identify early predictors of response to intervention. We applied a cluster analysis to distinguish between 3 groups based on their cognitive level at intake, and rates of cognitive change over the course of intervention. The first group of children only had a mild cognitive delay at intake and nearly no cognitive delay by the end of intervention (Higher Cognitive at baseline: HC). The children in the two other groups all presented with severe cognitive delay at baseline. However, they had two very different patterns of response to intervention. The majority significantly improved developmental scores over the course of intervention (Optimal Responders: OptR) whereas a minority of children showed only modest improvement (Minimal Responders: MinR). Further analyses showed that children who ended up having an optimal 2-year intervention outcome (OptR) were characterized by higher adaptive functioning at baseline combined with rapid developmental improvement during the first 6 months of intervention. Inversely, less significant progress by the sixth month of intervention was associated with a less optimal response to treatment (MinR).
Development and Validation of a Language Screening for Implementation in Pre-School Settings
Authors: Holzinger Daniel , Weber Christoph , Diendorfer Bettina
Published: June 2022

Background

To prevent or mitigate long-lasting learning problems and emotional, behavioral, and social-adaption difficulties associated with language disorders, age-appropriate German language competence at school entry level is essential. Therefore, universal screening of children in their penultimate year of pre-school has been established in Upper Austria. So far, the screenings administered by speech and language pathologists to identify risk of language disorder (LD) were not based on standardized materials.

Objective

To develop a screening instrument to identify increased risk of LD and to evaluate its validity and feasibility within the constraints of regular universal pre-school language screening.

Design

A two-component screening instrument including direct assessment of expressive and receptive grammar was used in a sample of 374 children with German as their dominant language attending a public pre-school in their penultimate year (age 4-5 ½ years) in the state of Upper Austria. Assessment by use of standardized German language tests including a variety of linguistic domains was considered reference standard for diagnosing LD. Feasibility was assessed by a self-developed questionnaire completed by the administrators of the screening.

Results

The combination of the expressive and receptive grammar scales demonstrated excellent accuracy (area under the curve score 0.928). A cut-off of 18 resulted in a failing rate of 21.8% and showed good sensitivity (84.2%) and specificity (85.3%). Acceptance by children and testers, time-economy and sustainability of the screening were mostly rated as high.
Emerging Technologies, STI Diaspora and Science Diplomacy in India: Towards a New Approach
Authors: Pandey Nimita , Srinivas Krishna Ravi , Deepthi T. R.
Published: June 2022

Utilizing the expertise and knowledge resources of the diaspora, particularly the scientific diaspora, has been part of the strategies of many countries. In the recent years, realizing the importance of the potential of the diaspora to contribute to national development and Science, Technology, and Innovation ecosystem, countries have used Science Diplomacy also to engage with the scientific diaspora. Science Diplomacy is hailed as an enabler and facilitator and is often seen in the context of international S&T collaboration or big science projects. But the use of Science Diplomacy for diaspora engagement calls for specific strategies and meaningful initiatives. India is one of the major developing countries that has given a major thrust to engaging with the scientific diaspora. India is also a leading player in the global Science Diplomacy arena. This article critically examines India's initiatives and strategies for engagement with the scientific diaspora. It points out that the Science Diplomacy dimension is missing in this. Using examples from other countries, recent thinking, and developments in Science Diplomacy, this study outlines an approach with some examples of strategies and initiatives for harnessing Science Diplomacy to enhance engagement with the scientific diaspora and create a win-win milieu for India and the diaspora. The approach takes into account the proposed and ongoing initiatives in emerging technologies in India, including quantum technologies and Artificial Intelligence. Such a framework will create a synergy among various programs and initiatives by using Science Diplomacy as a facilitator and catalyst. Under this framework, Diaspora is involved not only as experts and contributors to scientific advancements but also as stakeholders. This dual role of the STI Diaspora can bring a paradigm shift in traditional understanding and use of science diplomacy, particularly to engage and harness the potential of the STI Diaspora for Sustainable Development.
Re-powering the Nature-Intensive Systems: Insights From Linking Nature-Based Solutions and Energy Transition
Authors: Razzaghi Asl Sina
Published: June 2022

Nature-based and energy transition strategies are amongst most considerable solutions that are gaining popularity in recent years, especially in global north. This review provides a new approach to link these apparently independent concepts to highlight the potentials of coupled systems. Exploring common boundary concepts such as energy infrastructure, natural capital, land sink, ecosystem services etc. in both energy and environmental geography fields can facilitate our understanding toward potential contributions of nature-based solutions and energy transition for efficiency and sustainability goals. The results of this review can help to further develop robust coupled systems to deal with urban societal and environmental challenges such as land and energy scarcity. This review presents a variety of theoretical foundations and the rationales behind nature-based solutions and energy transition including socio-technical transitions, socio-ecological-technological, land-energy transition, and circular economy scholarships. Finally, by proposing future research directions, the role of each boundary concept in coupled NbS-ET systems is shown.
Influence of Hydrology and Sanitation on Groundwater Coliform Contamination in Some Parts of Western Bengal Basin: Implication to Safe Drinking Water
Authors: Dey Uttiya , Sarkar Soumyajit , Duttagupta Srimanti , Bhattacharya Animesh , Das Kousik , Saha Sumedha , Mukherjee Abhijit
Published: June 2022

Access to clean water has been identified as one of the primary Sustainable Development Goals. Rapid urbanization is going on in developing nations creating additional pressure on water resources in most of these places which in turn also affects individuals which is largely reliant on proper sanitation and drinking water quality. In addition, open sanitation practice is becoming major public health problem in rural and in some urban areas in India. Groundwater contamination by pathogenic bacteria sourced from both sanitation system and surface water is becoming one of the major concerns now-a-days. The residents of the Ganges river basin in India are already stressed with natural arsenic pollution as well as other various types of water pollution, and microbial pollution from sanitation is a new addition to it. A field-based hydrogeological investigation with the identification of sanitation sites (surface and subsurface) was conducted in some parts of the Ganges basin, in and around a lower order distributary river, River Churni in West Bengal state, to identify the natural and human influences on sanitation drinking water pollution in a highly populated part of South Asia. Groundwater was found to be contaminated severely with total (TC) and fecal (FC) coliform bacteria. The abundance of TC was found to be the highest in monsoon season (78%) than in pre-monsoon (48%) and post-monsoon (29%) seasons. The results revealed that the groundwater samples from shallow depths and close to sanitation sites were highly contaminated with coliform bacteria than the deeper and higher distant (>30 m distance) ones. Shallow groundwater samples near to surface water (River Churni) source, other than sanitation sites, showed elevated TC levels. The occurrence of coliform bacteria in studied groundwater samples was observed to be positively correlated with conductivity, TDS, TOC, chloride, and sulfate, while the abundance was restricted by pH and temperature of groundwater. Thus, improper sanitation systems and contaminated surface water were identified as one of the major sources of pathogenic contamination of groundwater-sourced drinking water in the studied area, whereas improper human practices further complicate the scenario which needs to be managed properly.
Best Management Practices for Teaching Hydrologic Coding in Physical, Hybrid, and Virtual Classrooms
Authors: Kelleher Christa A. , Gannon John P. , Jones C. Nathan , Aksoy Şule
Published: June 2022

As the field of hydrologic sciences continues to advance, there is an increasing need to develop a workforce with tools to curate, manage, and analyze large datasets. As such, undergraduate and graduate curricula are beginning to regularly incorporate scientific programing in the classroom. However, there are several key challenges to successfully incorporating scientific programming into a hydrology course or curriculum, such as meeting disciplinary outcomes alongside teaching students to code, equity issues with access to computing power, and effective classroom management. While these challenges were exacerbated by the global pandemic, shifting to online and hybrid learning formats provided an opportunity to explore and re-evaluate the way we facilitated our hydrology courses and integrated coding exercises and learning. In this article, we reflect on these experiences in three very different hydrology courses (e.g., courses housed in geoscience/engineering, environmental science, and biology programs) with an eye toward identifying successes and opportunities for improvement. We explore this by presenting ten best management practices (BMPs), representing a series of recommendations we have for teaching a virtual, hybrid, or in-person hydrology course that incorporates coding. While all recommendations provided can be applied to many programming languages, the focus of the paper (given the expertise of the authors) is on R. Our BMPs focus on technological facilitation, managing the virtual classroom, and instructional resources, with lessons learned that are applicable to in-person instruction. We also summarize the ways that the authors of this article integrate coding into our coursework to serve as a framework for prepping new courses or those revising existing hydrologic coursework. Above all, we hope these series of recommendations will evolve as hydrology courses continue to emphasize computational skills alongside disciplinary learning.
Rapid Urbanization and the Growing Water Risk Challenges in Ethiopia: The Need for Water Sensitive Thinking
Authors: Abraha Tesfay , Tibebu Assefa , Ephrem Gebremariyam
Published: June 2022

Water connects all kinds of life like a thread. However, despite its indispensable roles, little attention has been paid to its effective management for generations. Water as a nonrenewable natural resource, combined with a fast-growing urban population and climate change, has exposed countries to increasing water-related risks. Even though the water-related risk is becoming a fast-expanding worldwide concern, it is largely ignored and understudied in Ethiopia. As a result, this research aims to explore water-related risks at the country and basin levels, as well as to generate information on how water-related risks may influence current and future urbanization and urban settlement so that land use and water resource management planners can make better strategic decisions. To do this, the researchers employed a deductive exploratory (quantitative) research strategy that primarily centered on desk review and spatial analysis, utilizing GIS and remote sensing. As a result, this study found that water availability per person per year is 1,109 m3, indicating that Ethiopia is experiencing water stress. According to the study, 41.6% of Ethiopians live in basins, receiving <500 m3 per capita each year. Furthermore, 178 urban centers (15%) are located in dry basins, 369 (33%) urban centers are located in low groundwater potential zones, and 315 urban centers (28.15%) are located in an area with <100-mm annual rainfall. In addition, 307 urban centers (28%) are all in high-drought-risk areas, while 307 urban centers (27%) are insignificant flood-prone areas. Overall, this study discovered that Ethiopia and its urban centers are experiencing water-related challenges. Hence, water-centric management strategies, such as water-smart community development, water-sensitive physical planning, water-smart technology, and a water-sensitive legal framework, are required to address the ongoing water risks.
Brain Imaging Can Help Patients With Alzheimer’s Disease
Authors: Britt ZiYan , Sanadiki Zaenab , Senthil Vani , Hegdé Jay
Published: June 2022

Did you know Alzheimer’s disease (AD) is a worldwide leading cause of disability and death in later life? Patients with AD usually can not recognize their own families or take care of themselves. Often called “the long goodbye,” AD is a heartbreaking struggle for both patients and their caretakers. For a long time, doctors were helpless in treating AD patients. Even now, there is no cure for AD. But fortunately, brain scanning techniques have recently advanced enough to help AD patients a great deal. These techniques are ways for doctors to see the inner workings of the living patient’s brain, without surgery. Thus, brain imaging techniques are valuable tools that can help doctors catch AD early, provide customized care for each patient over the course of the disease, and guide future research toward finding a cure. Thanks to these developments, the prospects for AD patients are slowly but steadily improving.
Mr. and Mrs. Crab: How Can We Tell Them Apart?
Authors: Cheah Meng Hong , Fazhan Hanafiah , Rozaimi Rusydi , Waiho Khor
Published: June 2022

Male and female mud crabs may look alike at first glance, but clear differences in physical characteristics exist. These variations between sexes are known as sexual dimorphism. Sexual dimorphism may help species to survive in their environments. We found that three mud crab species (orange, green, and purple mud crabs) showed similar patterns of sexual dimorphism. Males generally have larger body and claw sizes, whereas females have larger abdomens. Orange mud crabs also have a unique body shape variation compared to green and purple mud crabs. All mud crabs have spines along the top edge of their shells, and scientists have numbered these spines to identify them. Unlike the green and purple species, orange mud crabs are wider at spine 8 than spine 9. Sexual dimorphism in crabs might be linked to how they reproduce and where they live.
Characterization of Senecavirus A Isolates Collected From the Environment of U.S. Sow Slaughter Plants
Authors: Hoffman Kyle S. , Humphrey Nicki L. , Korslund John A. , Anderson Tavis K. , Faaberg Kay. S. , Lager Kelly M. , Buckley Alexandra C.
Published: June 2022

Vesicular disease caused by Senecavirus A (SVA) is clinically indistinguishable from foot-and-mouth disease (FMD) and other vesicular diseases of swine. When a vesicle is observed in FMD-free countries, a costly and time-consuming foreign animal disease investigation (FADI) is performed to rule out FMD. Recently, there has been an increase in the number of FADIs and SVA positive samples at slaughter plants in the U.S. The objectives of this investigation were to: (1) describe the environmental burden of SVA in sow slaughter plants; (2) determine whether there was a correlation between PCR diagnostics, virus isolation (VI), and swine bioassay results; and (3) phylogenetically characterize the genetic diversity of contemporary SVA isolates. Environmental swabs were collected from three sow slaughter plants (Plants 1-3) and one market-weight slaughter plant (Plant 4) between June to December 2020. Of the 426 samples taken from Plants 1-3, 304 samples were PCR positive and 107 were VI positive. There was no detection of SVA by PCR or VI at Plant 4. SVA positive samples were most frequently found in the summer (78.3% June-September, vs. 59.4% October-December), with a peak at 85% in August. Eighteen PCR positive environmental samples with a range of Ctvalues were selected for a swine bioassay: a single sample infected piglets (n= 2). A random subset of the PCR positive samples was sequenced; and phylogenetic analysis demonstrated co-circulation and divergence of two genetically distinct groups of SVA. These data demonstrate that SVA was frequently found in the environment of sow slaughter plants, but environmental persistence and diagnostic detection was not indicative of whether a sampled was infectious to swine. Consequently, a more detailed understanding of the epidemiology of SVA and its environmental persistence in the marketing chain is necessary to reduce the number of FADIs and aide in the development of control measures to reduce the spread of SVA.
Comparative Mitochondrial Genomic Analysis Robustly Supported That Cat Tapeworm Hydatigera taeniaeformis (Platyhelminthes: Cestoda) Represents a Species Complex
Authors: Wang Hui-Mei , Li Rong , Deng Yuan-Ping , Liu Guo-Hua , Fu Yi-Tian
Published: June 2022

Hydatigera taeniaeformis is one of the most common intestinal tapeworms that has a worldwide distribution. In this study, we sequenced the complete mitochondrial (mt) genome of H. taeniaeformis from the leopard cat (designated HTLC) and compared it with those of H. taeniaeformis from the cat in China (designated HTCC) and Germany (designated HTCG). The complete mt genome sequence of HTLC is 13,814 bp in size, which is 167 bp longer than that of HTCC and is 74 bp longer than that of HTCG. Across the entire mt genome (except for the two non-coding regions), the sequence difference was 3.3% between HTLC and HTCC, 12.0% between HTLC and HTCG, and 12.1% between HTCC and HTCG. The difference across both nucleotide and amino acid sequences of the 12 protein-coding genes was 4.1 and 2.3% between the HTLC and HTCC, 13.3 and 10.0% between the HTLC and HTCG, and 13.8 and 10.6% between the HTCC and HTCG, respectively. Phylogenetic analysis based on concatenated amino acid sequences of 12 protein-coding genes showed the separation of H. taeniaeformis from different hosts and geographical regions into two distinct clades. Our analysis showed that the cat tapeworm H. taeniaeformis represents a species complex. The novel mt genomic datasets provide useful markers for further studies of the taxonomy and systematics of cat tapeworm H. taeniaeformis.
Water Surface Flight Control of a Cross Domain Robot Based on an Adaptive and Robust Sliding Mode Barrier Control Algorithm
Authors: Wang Ke , Liu Yong , Huang Chengwei , Bao Wei
Published: June 2022

When a cross-domain robot (CDR) flies on the water surface, the large pitch angle and roll angle may lead to water flooding into the robot cabin or even overturning. In addition, the CDR is influenced by some uncertain parameters and external disturbances, such as the water resistance and current. To constrain the robot attitude angle and improve the robustness of the controller, a non-singular terminal sliding mode asymmetric barrier control (NTSMABC) algorithm is proposed. All the uncertain disturbances are regarded as a lump disturbance, and a radial basis function neural network (RBFNN) is designed to compensate for the output of the controllers. Unlike the traditional quadrotors, the robot controls the yaw angle by paddles when the robot flies on the water surface. To prevent the actuator saturation and the robot from rolling over due to excessive yaw angular velocity, an adaptive integral sliding mode barrier control (AISMBC) algorithm is proposed to constrain the yaw angular velocity directly. This algorithm adaptively adjusts the gain of the sliding surface to suppress the influence of the lump disturbance on the robot. Another RBFNN is designed to compensate for the output of the controller. Simulation results demonstrate the effectiveness of the proposed control methods.
Design and Experiment of Symmetrical Spiral Row-Sorting of the Straw Device Based on Kinematics Analysis
Authors: Li Yunxiang , Lu Caiyun , Li Hongwen , Wang Zhinan , Gao Zhen , Wei Xuyang , He Dong
Published: June 2022

This paper designed a symmetrical spiral row-sorting of the straw device (SSRSD) under the condition that the no-till anti-blocking knife cut and chopped the straw to guarantee the machine’s passing capacity. The row-sorting blade (RB) of the symmetrical spiral mechanism (SSM) pushed the straw that fell into the straw hopper to the non-sowing area on both sides of the sowing belt and played the role of row-sorting the straw. Based on a theoretical analysis of the relationship between the material-bearing capacity limit of the SSM and the straw mulching quantity (SMQ) in the actual operating area, the critical parameters of the SSM and its value ranges were determined. The results show that the average straw removing rate (SRR) of the no-till planter with the SSRSD was 87.98%, and the passing capacity of the machine was great. Compared with the no-till planter without the SSRSD, the average SRR was increased by 20.7%.
Potato Late Blight Severity and Epidemic Period Prediction Based on Vis/NIR Spectroscopy
Authors: Hou Bingru , Hu Yaohua , Zhang Peng , Hou Lixia
Published: June 2022

Late blight caused by Phytophthora infestans is a destructive disease in potato production, which can lead to crop failure in severe cases. This study combined visible/near-infrared (Vis/NIR) spectroscopy with machine learning (ML) and chemometric methods for rapid detection of potato late blight. The determination of disease severity was accomplished by two methods directly or indirectly based on differences in reflectance. One approach was to utilize ML algorithms to build a model that directly reflects the relationship between disease level and spectral reflectance. Another method was to first use partial least squares to construct a predictive model of internal physicochemical values, such as relative chlorophyll content (SPAD) and peroxidase (POD) activity, and then use an ML model to classify disease levels based on the predicted values. The classification accuracy based on these two methods could reach up to 99 and 95%, respectively. The changes in physicochemical values during the development of disease were further investigated. Regression models for fitting changes in SPAD value and POD activity were developed based on temperature and incubation time, with determination coefficients of 0.961 and 0.997, respectively. The prediction of epidemic period was realized by combining regression and classification models based on physicochemical values with an accuracy of 88.5%. It is demonstrated that rapid non-destructive determination of physicochemical values based on Vis/NIR spectroscopy for potato late blight detection is feasible. Furthermore, it is possible to guide the control of disease throughout the epidemic period.
Extraction of High-Purity Native State Gutta-Percha from Enzymatic Hydrolyzed Eucommia ulmoides Pericarps by Ultrasound Treatment and Surfactant Aqueous Phase Dispersion
Authors: Shi Qili , He Yangjie , Zhang Xuejun , Wu Qiaoling , Tao Han
Published: June 2022

Herein, a method of ultrasound treatment combined with surfactant aqueous phase dispersion was proposed for the extraction of high-purity gutta-percha in its native state from enzymatic hydrolyzed Eucommia ulmoides pericarps. Firstly, the plant tissues wrapped around gutta-percha were destructed through enzymatic hydrolysis, then the plant tissues debris still attached to gutta-percha were further stripped off by ultrasound. Finally, under the “amphiphilic” action of sodium dodecyl sulfate (SDS), the entangled gutta-percha was untwined, allowing the residual plant tissue debris to be released and precipitated, thus high purity gutta-percha was obtained. The process parameters were optimized through single factor and response surface experiments. The optimal parameters for ultrasonic treatment were displayed as follows: frequency of 40 kHz, power of 320 W, time of 7.3 h, temperature of 50 °C, and material-to-liquid ratio of 1:70 g/mL, and for the aqueous phase dispersion of surfactant were SDS concentration 1.7%, temperature 80 °C, stirring speed 1200 rpm, solid-to-liquid ratio 1:60 g/mL, and time 60 h. Under optimal conditions, the purity of gutta-percha reached 95.4 ± 0.31% and its weight average molecular weight (Mw) was 20.85 × 104. Moreover, the obtained gutta-percha maintained its native filamentous form. The obtained products were characterized by IR, NMR, XRD, TGA, DSC, and tensile experiments, which showed that the obtained product was gutta-percha and maintained the natural α- and β- crystal structure. The proposed method overcomes the disadvantages of the traditional organic solvent method, which has great environmental pollution and destroys the gutta-percha structure. This is also the first reported method to obtain high purity gutta-percha while maintaining its native state.
Effect of Production System (Organic versus Conventional) on Olive Fruit and Oil Yields and Oil Quality Parameters in the Messara Valley, Crete, Greece; Results from a 3-Year Farm Survey
Authors: Volakakis Nikolaos , Kabourakis Emmanouil , Kiritsakis Apostolos , Rempelos Leonidas , Leifert Carlo
Published: June 2022

The demand for organic olive oil has increased rapidly over the last 40 years, but there is limited information on the effects of organic production methods on commercially and nutritionally relevant quality parameters in olive oil. The main objective of this farm survey-based study was therefore to compare fruit and oil yields and important oil quality parameters (including acidity, peroxide value and fatty acid profiles) between organic and conventional farms located in the Messara Plain and foothills. As expected, yields were substantially higher on farms in the Messara Plain compared with those in the foothills which have poorer soil, less access to irrigation water and are the more extensively managed. However, different to the many previous studies (which reported lower yields in organic systems), both fruit and oil yields were not significantly different in organic and conventional production and numerically ~10% higher in organic production. Additionally, olive oil quality was very high, and no substantial effects of production systems and farm location were found. Potential factors (e.g., low olive fly pressure) which may have contributed to the lack of a yield and quality gap between organic and convention production in the Messara region are discussed.