bluuebunny/crossref_metadata_2025 huggingface dataset:
A Practical and Economical Ultra-wideband Base Station Placement Approach for Indoor Autonomous Driving Systems
Authors: Jiang Shengchuan , Zhao Cong , Zhu Yifan , Wang Chenwei , Du Yuchuan
Published: March 2022

Automated valet parking (AVP) has attracted much attention as the entry point to autonomous driving. In an indoor environment, high-precision positioning systems are essential for AVP. Ultra-wideband (UWB) is one of the most widely adopted techniques. However, the base station placement significantly influences the system’s positioning accuracy, especially for the irregular architecture of underground parking lots. This article proposes a three-stage practical and economical layout planning approach for UWB base stations, including determining the deployment strategy and layout parameters and comprehensive adjustment and scheme verification. The approach considers regional differentiation accuracy requirements for AVP, such as ramp area, surface fluctuation area, and narrow area. The adopted positioning method of a UWB system is the time difference of arrival (TDOA), and the evaluation index of positioning accuracy is the horizontal dilution of precision (HDOP). Through experimental tests in an actual parking lot, the proposed approach is confirmed to ensure stability and economy with fewer UWB base stations and can meet the positioning accuracy requirements of AVP.
Evaluation of Melatonin Therapy in Patients with Myocardial Ischemia-Reperfusion Injury: A Systematic Review and Meta-Analysis
Authors: Lv Tingting , Yan Junwei , Lou Yunwei , Zhang Zeying , Ye Mengfei , Zhou Jiedong , Luo Fangyi , Bi Chenchen , Lin Hui , Zhang Jian , Guo Hangyuan , Liu Zheng
Published: March 2022

Objectives. We conducted a meta-analysis to quantitatively evaluate the effect of melatonin therapy on patients with myocardial ischemia-reperfusion injury (MIRI) and explore the influencing factors. Background. Although preclinical studies have shown that melatonin can alleviate MIRI, its protective effect on MIRI in patients remains controversial. Methods. We searched PubMed, the Cochrane Library, and Embase. The primary outcome was cardiac function (left ventricular ejection fraction [LVEF], left ventricular end-diastolic volume [LVEDV], and left ventricular end-systolic volume [LVESV]) and myocardial infarct parameters (total left ventricular mass and infarct size). Results. We included nine randomized controlled clinical trials with 631 subjects. Our results showed that melatonin had no significant effects on the primary outcome, but subgroup analyses indicated that when melatonin was administered by intravenous and intracoronary injection at the early stage of myocardial ischemia, LVEF was improved (<3.5 h; standardized mean difference [SMD]:0.50; 95% CI: 0.06 to 0.94;

P
=
0.03

) and the infarct size was reduced (<2.5 h, SMD: −0.86; 95% CI: −1.51 to −0.22;

P
=
0.01

), whereas when melatonin was injected at the late stage of myocardial ischemia (≥3.5 h or 2.5 h), the results were the opposite. Furthermore, melatonin intervention reduced the level of cardiac injury markers, inflammatory cytokines, oxidation factors, and increased the level of antioxidant factors (

P
<
0.001

). Conclusions. The results indicated that the cardioprotective function of melatonin for MIRI was influenced by the route and timing regimen of melatonin administration; the mechanism of which may be associated with the production of inflammatory cytokines, the balance of oxidation, and antioxidant factors.
Human-Vehicle Intersection Traffic Lights Timing Optimization Research
Authors: Li Wen , Zhang Hongying , Huang Zhaoguo , Li Chenhui
Published: March 2022

The purpose of this research is to find a traffic light timing optimization scheme. During the research, an intersection between Xi’an Mingguang road and the Fourth FengCheng road was chosen to analyze the crossing time distribution of pedestrians who were separated from west-to-the-right-turn vehicles during which the method of breaking off both ends of pedestrian green light signals was used. The VISSIM software was used for traffic simulation, aimed at improving traffic volume and right-turning vehicle average speed for less vehicle queuing delays, less human-vehicle conflicts, and better security for pedestrians without excessive interruption on their street crossing efficiency. The optimal scheme is obtained and the result shows that (1) the number of passing vehicles remains unchanged, with the queuing delay reduced by 5.78% and crosswalk passing speed increased by 19.01% compared with the original one. (2) As the scheme effect is positively correlated with the increase of right turn vehicle numbers, the scheme could be adopted for urban traffic management based on the local situation, which is not only in peak traffic hours but also in the flat peak time to ensure vehicle efficiency and pedestrian safety in the light of “vehicle yielding to pedestrians” regulation. (3) The scheme could also be adopted in cities with no “vehicle yielding to pedestrians” policy for both people-vehicle separation and pedestrian safety when crossing streets.
Personalized Original Ecotourism Route Recommendation Based on Ant Colony Algorithm
Authors: Wang Jinfang , Wu Xianglin
Published: March 2022

With the improvement of people’s consumption level and the increasing development of tourism, tourism is becoming more and more popular with everyone, and everyone has more requirements for it. Everyone wants to get the best travel experience for the least money, but because of the size of the world and the number of scenic spots, people usually cannot find some potential routes that interest them. Therefore, our excavation and recommendation of tourist routes can bring convenience to users. The user recommendation system proposed in this paper is to add a word vector, study the similar scenic spots of tourists, generate a data set, and then recommend it to the user for selection. In this way, users can get a route that they are interested in but have never experienced. Through the experimental mode, we also compare the performance of the algorithm in a threshold, similar number of tourists and vector dimension, and get the best values of several indicators, which can make the algorithm reach the best state and ensure the accuracy of users’ recommendation. Then, in order to find an affordable and better route for users, we introduce the ant colony algorithm, so we can find the best path. Finally, through the experiment, we can find that the ant colony algorithm has a very good advantage, which can not only save the time for tourists to take public transport but also save the cost of tourism. Through the random survey of 10 users’ satisfaction, we can get that this has been a very good promotion.
Fruit Waste as a Matrix of Health-Promoting Compounds in the Production of Corn Snacks
Authors: Gumul Dorota , Ziobro Rafal , Kruczek Marek , Rosicka-Kaczmarek Justyna
Published: March 2022

Extrusion is an industrial technology allowing utilization of fruit-based off-products, rich in bioactive and prohealth compounds, in the production of gluten-free snacks. The use of up to 20% fruit waste (apple waste) in the production of such snacks results in significant increases of polyphenols and flavonoids, as well as individual phenolic acids: chlorogenic (36 times) and cryptochlorogenic (4 times). UPLC-PDA-MS/MS method allowed to observe huge increases in phloridzin (25 times), epicatechin (8 times), catechin (up to 6 times), and the end procyanidin (almost 3 times) in corn snacks. The most suitable addition level was 20% because it resulted in the highest increases in the abovementioned compounds and dietary fiber, which provided high antioxidant potential of corn-apple snacks. Therefore, the production of such snacks could be recommended on industrial scale as they have the best organoleptic properties.
Strength Level of Professional Elite Soccer Players after the COVID-19 Lockdown Period: A Retrospective Double-Arm Cohort Study
Authors: Scoz Robson Dias , Burigo Ricardo Lima , Ferreira Isabella Christina , Hespanhol Luiz , Silveira Ramos Ana Paula , Schlosser Adriano , Baltazar Mendes Jose Joao , Alves Ferreira Luciano Maia , Amorim César Ferreira
Published: March 2022

Background. It is well known that periods of inactivity generate a loss of muscle strength, a fundamental component of sports performance in soccer. However, little information is available on the decrease in strength levels in professional soccer players after the quarantine lockdown that occurred during the COVID-19 pandemic. Aim. To compare the isokinetic peak torque profiles of professional soccer players from different teams before and after the quarantine period generated by COVID-19. Methods. A retrospective observational study was performed using data collected from two different professional elite-level soccer teams just before and immediately after the COVID-19 quarantine period. One team gave individual instructions to its players for conditioning maintenance at home during the quarantine period, while the other team used regular video calls to maintain the player’s conditioning status on home training. The main outcomes were the mean peak torque of knee extensors and flexors, from concentric and eccentric contractions of each playing position. Analysis. A two-way ANOVA analysis was used to compare peak torque before and after the quarantine period and between both teams’ strategies, showing a statistically significant reduction in eccentric knee flexor peak torque from the team that did not have remote monitoring. Conclusions. Remote monitoring programs are recommended so that athletes are less affected by the deleterious effects of confinement.
Optimization of Regional Economic Industrial Structure Based on Edge Computing and Fuzzy
K
-Means Clustering
Authors: Zhang Xianwei , Zhang Yueyan
Published: March 2022

This paper proposes a fuzzy

K

-means clustering-based optimization method for regional economic industrial structure. This paper discusses the multisubject of regional industrial planning, as well as its position and function in planning, based on research into regional industrial planning system design. This paper proposes a regional industrial planning model based on regional economic differences after summarizing the general methods of regional industrial planning and the disadvantages of traditional regional industrial planning. This paper uses edge computing technology to conduct a category analysis of various industrial cities and develops three models to study the evolution law of industrial structure: alternative evolution model, unbalanced evolution model, and diffusion evolution model. The optimization model of industrial structure is established by analyzing and sorting the various influencing factors of the evolution of urban industrial structure. This paper conducts a simulation experiment to verify the content arrangement of regional industrial planning and the design theory of regional industrial structure optimization system. The findings of this study have theoretical and practical implications for the study of regional industrial structure. For the optimization of regional industrial structure, it has a certain reference value.
Seroprevalence of Infectious Bronchitis Virus in Broiler and Layer Farms of Central Ethiopia
Authors: Shiferaw Jirata , Dego Tamiru , Tefera Misgana , Tamiru Yobsan
Published: March 2022

Background. Infectious bronchitis virus (IBV) is a highly contagious viral disease of chicken typically affecting the reproductive and respiratory tract and results in possible economic causes from its serious infectious and transmission characteristics. Methods. A cross‐sectional study was carried on serum samples of chickens selected from six (two commercial and four small holder) farms and two types of production (broiler and layer) to detect seroprevalence of IBV and its associated risk factors in Bishoftu and Holeta areas of central Ethiopia from June 2021 to September 2021. A total of 354 blood samples were collected and subjected to indirect ELISA test by IBV antibody test kit ((ProFLOK IBV), from ProFLOK Laboratories Inc., (USA)) to detect specific antibodies against IBV. Results. Overall, 97.46% seroprevalence was identified. From 230 and 124 samples collected from commercial and smallholder poultry farms, 226 (98.26%) and 119 (95.98%) positive results were obtained, respectively. Among the production types of chickens, high seroprevalence (99.31%) was found in layer poultry, and lower seroprevalence (96.17%) was found in the case of broiler chicken. Significant association was observed among different associated risk factors particularly age, sex, breed, and production types of chickens. From the tested chickens, all age groups, species, and farm types have high seroprevalence of IBV. The prevalence of IBV was highly significant (p ≤ 0.01) in the study site. The risk factors indicated could have increased infection prevalence, pathogens’ economic impact, and disease occurrence. Conclusion. IBD is complicating factor affecting poultry production systems in the area. Vaccine and biosecurity measures are recommended for the control of IBV. Furtherly, identification and characterization (by using RT‐PCR) of persistent serotype of IBV circulating in the field are recommended.
A Machine Learning Centered Approach for Uncovering Excavators’ Last Known Location Using Bluetooth and Underground WSN
Authors: Kumari Sumit , Siwach Vikas , Singh Yudhvir , Barak Dheerdhwaj , Jain Rituraj
Published: March 2022

Machine learning and data analytics are two of the most popular subdisciplines of modern computer science which have a variety of scopes in most of the industries ranging from hospitals to hotels, manufacturing to pharmaceuticals, mining to banking, etc. Additionally, mining and hospitals are two of the most critical industries where applications when deployed security, accuracy, and cost effectiveness are the major concerns, due to the huge involvement of man and machines. In this paper, the problem of finding out the location of man and machines has been focused on in case of an accident during the mining process. The primary scope of the research is to guarantee that the projected position is near to the real place so that the trained model’s performance can be tested. The solution has been implemented by first proposing the MLAELD (Machine Learning Architecture for Excavators’ Location Detection), in which Bluetooth Low Energy (BLE) beacons have been used for tracking the live locations of excavators preceded by collecting the data of the signal strength mapping from multiple beacons at each specific point in a closed area. Second, machine learning techniques are proposed to develop and train multioutput regression models using linear regression, K-nearest neighbor regression, decision tree regression, and random forest regression. These techniques can predict the live locations of the required persons and machines with a high level of precision from the last beacon strengths received.
Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers
Authors: Goswami Anjali , Krishna Muddada Murali , Vankara Jayavani , Gangadharan Syam Machinathu Parambil , Yadav Chandra Shekhar , Kumar Manoj , Khan Mohammad Monirujjaman
Published: March 2022

When it comes to our everyday life, emotions have a critical role to play. It goes without saying that it is critical in the context of mobile-computer interaction. In social and mobile communication, it is vital to understand the influence of emotions on the way people interact with one another and with the material they access. This study tried to investigate the relationship between the expressive state of mind and the efficacy of the human-mobile interaction while accessing a variety of different sorts of material over the course of learning. In addition, the difficulty of the feeling of many individuals is taken into account in this research. Human hardness is an important factor in determining a person’s personality characteristics, and the material that they can access will alter depending on how they engage with a mobile device. It analyzes the link between the human-mobile interaction and the person’s mental toughness to provide excellent suggestion material in the appropriate manner. In this study, an explicit feedback selection method is used to gather information on the emotional state of the mind of the participants. It has also been shown that the emotional state of a person’s mind influences the human-mobile connection, with persons with varying levels of hardness accessing a variety of various sorts of material. It is hoped that this research will assist content producers in identifying engaging material that will encourage mobile users to promote good content by studying their personality features.
Triage Nurse-Activated Emergency Evaluation Reduced Door-to-Needle Time in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis
Authors: Liang Xiao , Gao Wenhui , Xu Jiali , Saymuah Sara , Wang Xiaojie , Wang Jing , Zhao Wenbo , Xing Xiurong , Wang Changyuan , Liu Fangyan , Feng Lei , Li Sijie
Published: March 2022

Background and Purpose. Shorter door-to-needle time (DNT) is associated with a better outcome in acute ischemic stroke (AIS) patients who accept intravenous thrombolysis. We aimed to explore whether triage nurse-activated emergency evaluation would reduce DNT compared with doctor-activated emergency evaluation in AIS patients treated with intravenous thrombolysis who failed to use emergency medical services (EMSs). Methods. This was a retrospective analysis in a general hospital emergency department in Beijing, China. 212 adult AIS patients treated with thrombolysis who failed to use EMSs were included. In addition to DNT, door-to-vein open time (DVT), door-to-blood sample deliver time (DBT), and 7-day NIHSS scores were evaluated. Results. 137 (64.6%) patients were in the triage nurse-activated group and 75 (35.4%) patients were in the doctor-activated group. The DNT of the triage nurse-activated group was significantly reduced compared with the doctor-activated group (28 (26, 32.5) min vs. 30 (28, 40) min,

p
=
0.001

). DNT less than 45 min was seen in 95.6% of patients in the triage nurse-activated group and 84% of patients in the doctor-activated group (

p
=
0.011

, OR 3.972, 95% CI 1.375–11.477). In addition, DVT (7 (4, 10) min vs. 8 (5, 12) min,

P
=
0.025

) and DBT (15 (13, 21) min vs. 19 (15, 26) min,

p
=
0.001

) of the triage nurse-activated group were also shorter than those of the doctor-activated group (

p
<
0.05

). The 7-day NIHSS scores were not statistically different between the two groups. Conclusions. Triage nurse-activated urgent emergency evaluation could reduce the door-to-needle time, which provides a feasible opportunity to optimize the emergency department service for AIS patients who failed to use emergency medical services.
Short- and Long-Term Self-Reported Audiovestibular Symptoms of SARS-CoV-2 Infection in Hospitalized and Nonhospitalized Patients
Authors: Almishaal Ali A. , Alrushaidan Ali A.
Published: March 2022

Background: Audiovestibular symptoms during the acute stage have been reported in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), while very few studies investigated the long-term audiovestibular manifestations of SARS-CoV-2. Objective: The objective of this study was to examine the occurrence of short- and long-term audiovestibular symptoms associated with SARS-CoV-2 infection. Method: In this cross-sectional study, a questionnaire was distributed to severe hospitalized cases and nonhospitalized patients with mild disease, all with confirmed SARS-CoV-2 test results. Participants were inquired to report audiovestibular symptoms during the acute phase and at 6-month follow-up after contracting SARS-CoV-2. Results: A total of 301 participants completed the questionnaire. Auditory symptoms were reported by 21.9% and 1.99% of patients during the acute phase and 6 months post SARS-CoV-2 infection, respectively. During the acute phase of SARS-CoV-2 infection, aural fullness represents the most common symptoms (18.94%) followed by tinnitus (9.97%) and hearing loss (6.31%). Vestibular symptoms were reported by 34% during the acute phase; most commonly was dizziness (29.9%) followed by vertigo (24.25%) and unsteadiness (8.31%). Long-term and persistent vestibular problems were reported by 3.99% patients. There were no statistically significant differences in self-reported audiovestibular symptoms between patients with severe SARS-CoV-2 disease compared to those with mild disease. Conclusion: The current study showed that audiovestibular symptoms are common among SARS-CoV-2 infected patients during the acute phase of the disease. However, these symptoms are mostly temporary and showed complete spontaneous recovery during the first 2 weeks postinfection.
Mesothelioma: A Case in a Diagnostic Timeline and the Efficiency of Robot-Assisted Surgery
Authors: Zarogoulidis Paul , Tsakiridis Kosmas , Zarampoukas Thomas , Zarampouka Katerina , Hatzibougias Dimitris , Tolis Christos , Tryfon Stavros , Saroglou Maria , Ioannidis Aris , Matthaios Dimitris , Kosmidis Christoforos
Published: March 2022

We present a case of a 65-year-old male with a difficulty to diagnose mesothelioma. To be specific, three attempts were made to diagnose the disease, and only with a large sample performed with robot-assisted surgery, our pathologists were able to identify the malignancy. The novelty for our case is mostly based on the timeline of the diagnosis along with the tissue samples where we present the course of the transformation from benign to malignancy. All tissue biopsies were checked by two independent pathologists. Conclusively, diagnosis for small local lesions should be performed with an endoscopic method, video-assisted or robot-assisted.
Poorer Cognitive Performance Is Associated with Gastrointestinal Symptoms in Otherwise Healthy Young Adults
Authors: Patrick Karlee S. , Sanborn Victoria , Gunstad John , Spitznagel Mary Beth
Published: March 2022

Introduction: Functional gastrointestinal disorders such as irritable bowel syndrome are often associated with abdominal discomfort, bloating, and cramping. There is growing evidence that gastrointestinal symptoms are also related to cognitive function, but this association has not been previously examined in young adults. Methods: We examined cross-sectional relationships between nonspecific gastrointestinal symptoms and cognition in 56 healthy young adults (41 female, 15 male) without diagnosis of gastrointestinal disorder. Results: Gastrointestinal symptoms were associated with poorer performance on objective tests of memory (p < 0.01 for all) and greater self-report of cognitive dysfunction (p < 0.01 for all). Conclusion: Results suggest that higher gastrointestinal symptoms are associated with greater subjective and objective cognitive difficulty. Future work is needed to clarify underlying mechanisms and the potential functional impact of these cognitive deficits.
Electrophysiology and Arrhythmogenesis in the Human Right Ventricular Outflow Tract
Authors: Aras Kedar , Gams Anna , Faye Ndeye Rokhaya , Brennan Jaclyn , Goldrick Katherine , Li Jinghua , Zhong Yishan , Chiang Chia-Han , Smith Elizabeth H. , Poston Megan D. , Chivers Jacqueline , Hanna Peter , Mori Shumpei , Ajijola Olujimi A. , Shivkumar Kalyanam , Hoover Donald B. , Viventi Jonathan , Rogers John A. , Bernus Olivier , Efimov Igor R.
Published: March 2022

Background:

Right ventricular outflow tract (RVOT) is a common source of ventricular tachycardia, which often requires ablation. However, the mechanisms underlying the RVOT’s unique arrhythmia susceptibility remain poorly understood due to lack of detailed electrophysiological and molecular studies of the human RVOT.

Methods:

We conducted optical mapping studies in 16 nondiseased donor human RVOT preparations subjected to pharmacologically induced adrenergic and cholinergic stimulation to evaluate susceptibility to arrhythmias and characterize arrhythmia dynamics.

Results:

We found that under control conditions, RVOT has shorter action potential duration at 80% repolarization relative to the right ventricular apical region. Treatment with isoproterenol (100 nM) shortened action potential duration at 80% repolarization and increased incidence of premature ventricular contractions (
P
=0.003), whereas acetylcholine (100 μM) stimulation alone had no effect on action potential duration at 80% repolarization or premature ventricular contractions. However, acetylcholine treatment after isoproterenol stimulation reduced the incidence of premature ventricular contractions (
P
=0.034) and partially reversed action potential duration at 80% repolarization shortening (
P
=0.029). Immunolabeling of RVOT (n=4) confirmed the presence of cholinergic marker VAChT (vesicular acetylcholine transporter) in the region. Rapid pacing revealed RVOT susceptibility to both concordant and discordant alternans. Investigation into transmural arrhythmia dynamics showed that arrhythmia wave fronts and phase singularities (rotors) were relatively more organized in the endocardium than in the epicardium (
P
=0.006). Moreover, there was a weak but positive spatiotemporal autocorrelation between epicardial and endocardial arrhythmic wave fronts and rotors. Transcriptome analysis (n=10 hearts) suggests a trend that MAPK (mitogen-activated protein kinase) signaling, calcium signaling, and cGMP-PKG (protein kinase G) signaling are among the pathways that may be enriched in the male RVOT, whereas pathways of neurodegeneration may be enriched in the female RVOT.

Conclusions:

Human RVOT electrophysiology is characterized by shorter action potential duration relative to the right ventricular apical region. Cholinergic right ventricular stimulation attenuates the arrhythmogenic effects of adrenergic stimulation, including increase in frequency of premature ventricular contractions and shortening of wavelength. Right ventricular arrhythmia is characterized by positive spatial-temporal autocorrelation between epicardial-endocardial arrhythmic wave fronts and rotors that are relatively more organized in the endocardium.
Social Determinants of Cardiovascular Disease
Authors: Powell-Wiley Tiffany M. , Baumer Yvonne , Baah Foster Osei , Baez Andrew S. , Farmer Nicole , Mahlobo Christa T. , Pita Mario A. , Potharaju Kameswari A. , Tamura Kosuke , Wallen Gwenyth R.
Published: March 2022

Social determinants of health (SDoH), which encompass the economic, social, environmental, and psychosocial factors that influence health, play a significant role in the development of cardiovascular disease (CVD) risk factors as well as CVD morbidity and mortality. The COVID-19 pandemic and the current social justice movement sparked by the death of George Floyd have laid bare long-existing health inequities in our society driven by SDoH. Despite a recent focus on these structural drivers of health disparities, the impact of SDoH on cardiovascular health and CVD outcomes remains understudied and incompletely understood. To further investigate the mechanisms connecting SDoH and CVD, and ultimately design targeted and effective interventions, it is important to foster interdisciplinary efforts that incorporate translational, epidemiological, and clinical research in examining SDoH-CVD relationships. This review aims to facilitate research coordination and intervention development by providing an evidence-based framework for SDoH rooted in the lived experiences of marginalized populations. Our framework highlights critical structural/socioeconomic, environmental, and psychosocial factors most strongly associated with CVD and explores several of the underlying biologic mechanisms connecting SDoH to CVD pathogenesis, including excess stress hormones, inflammation, immune cell function, and cellular aging. We present landmark studies and recent findings about SDoH in our framework, with careful consideration of the constructs and measures utilized. Finally, we provide a roadmap for future SDoH research focused on individual, clinical, and policy approaches directed towards developing multilevel community-engaged interventions to promote cardiovascular health.
What Level of Blood Pressure Is Concerning in Childhood?
Authors: Flynn Joseph T.
Published: March 2022

The 95th percentile of blood pressure (BP) among healthy children is the currently accepted level used to denote a hypertensive BP reading in pediatric patients. Yet, ample data have emerged showing that the detrimental effects of high BP can be demonstrated at BP levels considered normal by current guidelines. Cardiac, vascular, cognitive, and kidney effects have been shown starting at the 90th percentile in cross-sectional studies, and markers of adult cardiovascular disease appear in longitudinal cohorts whose members had modestly elevated or even normal BP as youth. This review summarizes data that support a lower threshold of concern for children and adolescents, and outlines some of the remaining questions to be answered before a lower threshold BP level could be adopted.
Conflicting Sovereignties: Global Conservation, Protected Areas, and Indigenous Nations in the Peruvian Amazon
Authors: Merino Roger
Published: March 2022

Indigenous organizations, international actors, and national authorities portray different images of Indigenous Peoples’ relationship with the natural environment. Based on these images, these actors deploy ecological, economic, and security arguments to create or transform protected areas. By exploring three cases of conflicts over creation and management of protected areas in the Peruvian Amazon, this article maps the tensions around the different images and explores how Indigenous organizations and state authorities—backed by international actors—engage with security, economic, and ecological rationales from their own sovereignty standpoint. I argue that the state weakens Indigenous political aspiration of sovereign territorial control by translating this agenda into depoliticized mechanisms and assumptions of modern international environmentalism, which ultimately limits their capacity to truly contribute to conservation goals. A “nation-building” approach to conservation, by conceiving Indigenous Nations as sovereign partners in environmental management, might give legitimacy to environmental initiatives.
Emotion and Islamic Hagiology: A Post-taxonomic Approach
Authors: Yep Stephanie
Published: March 2022

The study of emotion in Islamic hagiology remains largely uninterrogated, as visible in elliptical descriptions that classify particular texts, bodily gestures, or utterances as “emotive.” I advocate for a shift from taxonomic approaches to emotion to a focus on function in narrative hagiographies. I argue that emotion provides a rich analytic category for understanding the dynamic relationship between texts and bodies in the hagiographical process, as well as the multiplicity of bodies that are involved or implicated. To illustrate this framework, I provide readings of narratives in the sīra (biographies of Muḥammad) which depict bodily manifestations of awe when in Muḥammad’s presence. Endorsing the position that the hagiographical process is constantly under negotiation, these analyses reveal that emotional practices are crucial to understanding the relationality between exemplary persons, biographers, characters, and readers.
A Transpersonal Conversation
Authors: Crace Benjamin D.
Published: March 2022

This article develops and deploys a participatory hermeneutic for Pentecostal theology through a dialogue with transpersonal psychology. It takes as representative the work of Jorge Ferrer and Jacob Sherman for its interdisciplinary approach. After brief contextualization within Pentecostal hermeneutics and the larger cultural history of spirituality, it highlights the salient features of a participatory approach. Then it moves to a short overview of Bruno Barnhart’s constructive participatory interpretation of history. Afterward, the prophetic word of knowledge, exemplified in John 4, is rescripted through the foregrounded participatory hermeneutic to demonstrate its cachet. The study ends with critical reflection on the examined content and the hermeneutical endeavor within Pentecostal theology.
Addressing, Greeting and Related Gestures in the Opening Sequences of Finnish, French and Hungarian YouTube Videos
Authors: Isosävi Johanna , Vecsernyés Ildikó
Published: March 2022

This paper compares the opening sequences of Finnish, French and Hungarian YouTube videos. We concentrate on addressing, greeting and related gestures, important elements when YouTubers interact with their imagined viewers, using data consisting of 138 videos in the three languages. This study falls within the field of the pragmatics of social media and interpersonal pragmatics, and data were analysed using multimodal discourse analysis. Shared practices included the frequent use of greetings, a preference for general nominal address forms as well as for iconic and deictic gestures. Cross-cultural differences revealed that Finnish and Hungarian were closer to each other than to French. Shared practices may be connected to the genre of YouTube videos, whereas differences appear related to cross-cultural practices generally.
Novelties in Vietnamese Craibiodendron, Lyonia and Vaccinium (Ericaceae)
Authors: TONG YIHUA , FRITSCH PETER W. , HUONG NGUYEN THI THANH , AVERYANOV LEONID V. , KUZNETSOV ANDREY N. , KUZNETSOVA SVETLANA P. , NURALIEV MAXIM S.
Published: March 2022

The paper summarizes the knowledge on three Vietnamese species of Ericaceae. Craibiodendron yunnanense is newly documented for the flora of Vietnam. The presence of Lyonia villosa in the country is confirmed by specimen citation. We publish a new combination, Vaccinium glaucorubrum, to accommodate the taxon earlier known as Vaccinium gaultheriifolium var. glaucorubrum at species rank. We provide a detailed morphological description of V. glaucorubrum and revise the geographical distribution of this species. We review type material of V. glaucorubrum and designate the specimen at KUN (1208884) as a lectotype. We illustrate all three species with analytical photographs of the plants in the living state.
Allium parhamii (Amaryllidaceae, Allioideae), a new species from Central Kopet Dagh Mountains, NE Iran
Authors: MEMARIANI FARSHID , BEHROOZIAN MARYAM , JOHARCHI MOHAMMAD REZA
Published: March 2022

Allium parhamii is described and illustrated as a new species from the Kopet Dagh mountain range, North Khorassan province in Iran. Based on morphological features, the new species belongs to A. sect. Asteroprason. It differs from the closely related species A. monophyllum in several floral and leaf characters as well as the micromorphological characters of seed coat and karyotype. The new species is illustrated and Red-Listed as critically endangered and notes on habitats and distribution are provided.
Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
Authors: WATSON GILLIAN W.
Published: March 2022

Scale insects (Hemiptera: Sternorrhyncha: Coccomorpha) feed on plant sap; some are damaging pests in agriculture and forestry. However, the scale insects found in continental Africa have not been extensively studied and the available means of identification are incomplete. This synoptic work, the second in this series, covers the six archaeococcoid scale insect families found in continental Africa: Kuwaniidae, Margarodidae, Matsucoccidae, Monophlebidae, Ortheziidae and Putoidae. The work provides identification keys to a total of 29 genera and 137 species, and a checklist for each family. Pseudaspidoproctus zimmermanni (Newstead) (Monophlebidae) is transferred to Aspidoproctus, as Aspidoproctus zimmermanni (Newstead), comb. n. Praelongorthezia praelonga (Douglas) (Ortheziidae) is recorded from Gambia for the first time.
New records, taxonomic notes, and the description of a new species of Harpactorinae (Hemiptera: Heteroptera: Reduviidae) from French Guiana
Authors: GIL-SANTANA HÉLCIO R.
Published: March 2022

Various genera and species of Harpactorinae (Hemiptera: Heteroptera: Reduviidae: Harpactorinae: Apiomerini and Harpactorini) occurring in French Guiana are treated. Diarthrotarsus guianensis sp. nov. (Harpactorini) is described. An updated key to the species of Diarthrotarsus Bergroth, 1905 is presented. Apiomerus nitidicollis Stål, 1872 and Sphodrolestes vittaticollis Stål, 1867 (both Apiomerini), Graptocleptes formosus Miller, 1951, Heza aurantia Maldonado, 1976, Heza phthinica Swanson, 2021, Isocondylus elongatus (Lepeletier & Serville, 1825), Notocyrtus costai Gil-Santana & Forero, 2009, Notocyrtus depressus Stål, 1872, Notocyrtus tibanae Costa & Gil-Santana, 2001 and Ploeogaster gesana Kirkaldy, 1909 (all Harpactorini) are recorded from French Guiana for the first time. The presence of Calliclopius nigripes (Linnaeus, 1767) (Apiomerini) and Heza sericans Stål, 1859 (Harpactorini) in French Guiana is confirmed. Photographs of the specimens studied are presented, with short taxonomical notes on all the recorded species. An illustrated redescription of the male genitalia of Notocyrtus tibanae is given.
On two goby-associated snapping shrimps from the Red Sea, one of them new to science (Malacostraca: Decapoda: Alpheidae: Alpheus)
Authors: ANKER ARTHUR
Published: March 2022

Two snapping shrimps associated with gobies are reported from the Saudi Arabian coast of the Red Sea. Alpheus karplusi sp. nov., a species with a highly diagnostic, rusty-spotted colour pattern, is described based on three specimens, two males and one female, collected in the Farasan Islands and off Thuwal. Alpheus thompsoni Anker, 2022, previously known with certainty only from Papua New Guinea, is reported from the Farasan Islands, on the basis of a complete adult male specimen. Some differences in the colour pattern and morphology between the female holotype from Papua New Guinea and the male from the Red Sea are discussed. Both species belong to the A. djeddensis Coutière, 1897—A. djiboutensis De Man, 1909 species complex, which also includes A. bellulus Miya & Miyake, 1969, A. macellarius Chace, 1988, A. fenneri Bruce, 1994, A. mannarensis Purushothaman, Abhilash, Kumar & Lal, 2021, and A. sciolii Anker, 2022.
Goods and Service Tax: A Boon for Indian Economy in 2020
Authors: Dubey Manikant , Kaushik Rohit , Vats Ruchika
Published: March 2022

India is facing multiple problems regarding taxation as tax evasion, black marketing, high price charge and corruption. Meanwhile indirect taxes paid by the producing firms are collected on level may be or may not be timely and honestly deposited to the department. There is a big issue
of multiple tax system and the complex procedure. To get rid of these problems, a uniform tax system named as Goods and Service Tax (GST) was introduced. The current article is proposed to measure the effectiveness of GST as well as tries to analysis the effect of GST on Indian economic system
especially in inflation rate and on foreign trade. Some suggestions are also proposed for make more effective system in India.
Elastoplastic Damage Models for Ductile Materials
Authors: Jain Appurva , Mishra Abhishek
Published: March 2022

The application of the Elasto plastic-damage model is used to describe the ductile fracture model. Few parameters are responsible for ductile damage and its mechanism can be revealed by using Elasto plastic models. An overview of different models is described in this paper. Parameters
responsible for high-stress triaxiality and low-stress triaxiality are also described in this paper. The objective of this article is to provide a review of Elasto-plastic damage models, which can be used for prediction of ductile fracture. Stress triaxiality is the ratio between mean stress
and equivalent vonmisses stress.
Study on the Hemolytic and Anti-Hemolytic Activities of the Aerial Parts Extracts of Centaurea virgata and Centaurea solstitialis
Authors: Joujeh Ruba , Zeid Salim , Mona Sobhi
Published: March 2022

In this study, we subjected Centaurea virgata and Centaurea solstitialis extracts to a qualitative chemical analysis to identify the most important chemical groups they contain, we also aimed to determine their total phenolic content. In addition to the phytochemical study,
hemolysis test was conducted to investigate the toxic effects of the plant extracts on red blood cells membranes, and to evaluate the plants’ ability to prevent the oxidative hemolysis for normal and G6PD enzyme-deficient human erythrocytes. Qualitative Phytochemical analysis
exposed that the aerial parts extracts contains phenolic compounds, tannins, flavonoids, saponins, and carbohydrates. Both extracts had good phenolic contents. The present study also showed that hydromethanolic extracts of the plants have no obvious toxic effects towards human erythrocytes
membranes. The extracts proved their antioxidant activities through their excellent activities in protecting normal and G6PD enzyme-deficient human erythrocytes from oxidative damage induced by H2O2. Further studies are wanted for detecting biological and biochemical
effects of these plants.
An Enhanced Hybrid Watermarking Method and Imaging System for Securing Medical Images
Authors: Rathina Kumar N. , Ramya C.
Published: March 2022

Medical image processing typically deals with the exploration of several medical image datasets for attaining an effective solution in diagnosing the affected patients. Medical image of the patients are typically stored in digital form as Electronic patient’s record (EPR), which
must be dealt with utmost security and confidentiality, as the patient’s data are linked with external open platforms for future diagnosis. Medical image watermarking and encryption schemes assist in meeting the above requirements in effectively securing the patient’s image data.
The ultimate objective of this research inclines towards securing medical images so as to achieve maximum effectiveness over health related areas. In this paper, an enhanced hybrid medical image watermarking and equivalent encryption strategy is typically investigated for attaining an effective
solution towards medical image processing. The proposed methodology works with the integration of image watermarking algorithm together with an encryption algorithm. Image watermarking is achieved by a system based on Redundant discrete wavelet transform and Singular value decomposition. Moreover,
by utilizing the property of chaotic signals for improving the integrity, a hybrid medical image watermarking technique is proposed by upgrading the Arnold cat map (ACM) with Logistic map. For image encryption, Symmetric block encryption algorithm based on Feistel structure is proposed. The
efficiency of the proposed strategy is estimated in terms of Peak signal to noise ratio (PSNR), Mean square error (MSE) and Correlation coefficient (CC).
A Spatial-Frequency Feature Ensemble for Detecting Cervical Dysplasia from Pap Smear Images
Authors: Deepa K. , Thilagamani S.
Published: March 2022

Among women, cervical cancer is the commonest and the most treatable and preventable type of cancer. In most cases, cervical cancer begins as precancerous changes which gradually develop into cancer. Pap smear is widely used for cervical cancer diagnosis. Cell analysis is a time-consuming
and cumbersome job; thus, an automatic detecting framework is proposed. Wavelet transforms offer the associated coefficients as the input image data representation, used as feature vectors. Artificial Neural Networks (ANNs) have outstanding attributes such as enhanced input-to-output mapping,
non-linearity, fault tolerance, adaptively, and self-learning. Classification of cervical cancers employs neural network systems that have a huge role in most applications related to image processing. For application in diverse fields such as bioinformatics and pattern recognition, most researchers
choose ensemble classifiers. A spatial-frequency feature ensemble has been proposed in this work to identify cervical dysplasia from images of Pap smears.
Empirical Mode Decomposition with Fuzzy Weight Beetle Swarm Optimization (EMD-FWBSO) Denoising and Enhanced Kernel Support Vector Machine (EKSVM) Classifier for Arrhythmia in Electrocardiogram Recordings
Authors: Thirrunavukkarasu R. R. , Meera Devi T.
Published: March 2022

Elderly persons are generally prone to CHDs (Chronic Heart Diseases). Arrhythmia is a persistent CHD with high mortalities resulting from cardiac failures, heart strokes, and CADs (Coronary Artery Diseases). Arrhythmia can be detected using ECG (Electrocardiogram) signals. ECG signals
need to be pre-processed for removing noises present in signals. Since denoising is a significant step in ECG signals. Recently Support Vector Machine -Radial Bias Function (SVM-RBF) classifier is introduced for arrhythmia classification, it doesn’t remove noises presented from the ECG
signals. The major aim of the work is to design a new classifier with removed noises and enhanced ECG signal. In this work, EMDs (Empirical Mode Decompositions) is introduced for noise removing which works recursively and dependent on signals called sifting. In EMD, IMFs (Intrinsic Mode Functions)
decompose noisy signals into intrinsic oscillatory components adaptively using sifting. Further, FWBSOs (Fuzzy Weight Beetle Swarm Optimizations) are used in this work for optimizing EMDs and IMFs. This work in the initial phase reconstructs ECG signals which are filtered by IMFs. These filters
are followed by extraction of morphological features from waves of P-QRS-T while ECG segments are selected using PCAs and DTWs. In the final phase, EKSVMs (Enhanced Kernel Support Vector Machines) classifies extracted features automatically by categorizing ECG signals into Normal and Ventricular
Ectopic Beats. This work’s resulted are evaluated with performance metrics of Sensitivity, F-measure, Positive Productivity and Accuracy. This work uses database of MIT-BIH arrhythmia in a 5 fold cross validation for its predictions. The proposed EKSVMs classifier is compared to existing
classifiers such as K-Nearest Neighbors (KNN), Enhanced Particle Swarm Optimisation-Multiple Layer Perception (EPSO-MLP) and SVM-RBF. The experiments of the proposed classifier and existing methods are carried out on MATLAB R2018a.