bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kernel density estimation of conditional distributions to detect responses in satellite tag data
Authors: Hewitt Joshua , Gelfand Alan E. , Quick Nicola J. , Cioffi William R. , Southall Brandon L. , DeRuiter Stacy L. , Schick Robert S. 
Published: September 2022

AbstractBackgroundAs levels of anthropogenic noise in the marine environment rise, it is crucial to quantify potential associated effects on marine mammals. Yet measuring responses is challenging because most species spend the majority of their time submerged. Consequently, much of their sub-surface behavior is difficult or impossible to observe and it can be difficult to determine if—during or following an exposure to sound—an observed dive differs from previously recorded dives. We propose a method for initial assessment of potential behavioral responses observed during controlled exposure experiments (CEEs), in which animals are intentionally exposed to anthropogenic sound sources. To identify possible behavioral responses in dive data collected from satellite-linked time–depth recorders, and to inform the selection and parameters for subsequent individual and population-level response analyses, we propose to use kernel density estimates of conditional distributions for quantitative comparison of pre- and post-exposure behavior.ResultsWe apply the proposed method to nine Cuvier’s beaked whales (Ziphius cavirostris) exposed to a lower-amplitude simulation of Mid-Frequency Active Sonar within the context of a CEE. The exploratory procedure provides evidence that exposure to sound causes animals to change their diving behavior. Nearly all animals tended to dive deep immediately following exposure, potentially indicating avoidance behavior. Following the initial deep dive after exposure, the procedure provides evidence that animals either avoided deep dives entirely or initiated deep dives at unusual times relative to their pre-exposure, baseline behavior patterns. The procedure also provides some evidence that animals exposed as a group may tend to respond as a group.ConclusionsThe exploratory approach we propose can identify potential behavioral responses across a range of diving parameters observed during CEEs. The method is particularly useful for analyzing data collected from animals for which neither the baseline, unexposed patterns in dive behavior nor the potential types or duration of behavioral responses is well characterized in the literature. The method is able to be applied in settings where little a priori knowledge is known because the statistical analyses employ kernel density estimates of conditional distributions, which are flexible non-parametric techniques. The kernel density estimates allow researchers to initially assess potential behavioral responses without making strong, model-based assumptions about the data.
Explaining the diminishing of Muslim advantage in child survival in India
Authors: Ganguly Dibyasree , Goli Srinivas , Rammohan Anu 
Published: September 2022

AbstractReligion is one of the key instrumental social institutions in determining child health and mortality. Muslim advantage in child survival in India has been widely reported. Recent India’s National Family Health Survey (NFHS) shows that the gap between Hindu–Muslim childhood mortality rates is shrinking—reversing decades of child survival advantage for Muslims. This study examines the factors linked to the diminishing of Muslim advantage in childhood survival and attempts to uncover the mechanisms accounting for the convergence using the characteristics hypothesis of Goldscheider (Population, modernization, and social structure Little, Brown & Co; 1971) and the analytical framework of Guillot and Allendorf (Genus 66(2), 2010). We have analyzed a pooled sample of 23,47,245 all live births and 428,541 of last live births from four rounds of NFHS (1992–2016). Kaplan–Meier survival plots over time by religion confirm convergence in Hindu–Muslim child survival probabilities. The Pyatt decomposition model reveals that the gap in Hindu–Muslim childhood mortality is diminishing due to a decline in within-Hindu inequality. Cox proportional hazard regression model shows that improvement in household and maternal socioeconomic factors has contributed to Hindu children catching up with Muslims—leading to a convergence in Hindu–Muslim childhood survival probabilities. Conditional β-convergence regression model also suggests the convergence in socio-economic status and maternal health care is driving the convergence in child survival of Hindus and Muslims across Indian states.
Autism-associated CHD8 keeps proliferation of human neural progenitors in check by lengthening the G1 phase of the cell cycle
Authors: Coakley-Youngs Emma , Ranatunga Medhavi , Richardson Simon , Getti Giulia , Shorter Susan , Fivaz Marc 
Published: September 2022

ABSTRACT
De novo mutations (DNMs) in chromodomain helicase DNA binding protein 8 (CHD8) are associated with a specific subtype of autism characterized by enlarged heads and distinct cranial features. The vast majority of these DNMs are heterozygous loss-of-function mutations with high penetrance for autism. CHD8 is a chromatin remodeler that preferentially regulates expression of genes implicated in early development of the cerebral cortex. How CHD8 haploinsufficiency alters the normal developmental trajectory of the brain is poorly understood and debated. Using long-term single-cell imaging, we show that disruption of a single copy of CHD8 in human neural precursor cells (NPCs) markedly shortens the G1 phase of the cell cycle. Consistent with faster progression of CHD8+/− NPCs through G1 and the G1/S checkpoint, we observed increased expression of E cyclins and elevated phosphorylation of Erk in these mutant cells – two central signaling pathways involved in S phase entry. Thus, CHD8 keeps proliferation of NPCs in check by lengthening G1, and mono-allelic disruption of this gene alters cell-cycle timing in a way that favors self-renewing over neurogenic cell divisions. Our findings further predict enlargement of the neural progenitor pool in CHD8+/− developing brains, providing a mechanistic basis for macrocephaly in this autism subtype.
Online mentoring of medical students during COVID-19 pandemic: Another new normal
Authors: Usmani Ambreen , Imran Manal , Javaid Quratulain , Tariq Junaid 
Published: September 2022

Objectives: To determine the impact of online mentoring sessions on the students during the pandemic time.
Methods: The cross-sectional descriptive study was conducted at Bahria University Medical and Dental College, Karachi. The total study duration was 5 months from March 2021 to July 2021. Quantitative research design was used. Categorical data was scored on a three point Likert scale (1= ‘Disagree’, 2= ‘Neutral’ and 3= ‘Agree’). Frequencies and percentages were calculated to determine the impact of online mentoring.
Results: Sixty two percent of 2nd year MBBS students were of the opinion that online mentoring was helpful as compared to 58% 1st year and 50% 3rd year students. Students were anxious while sharing their issues online. A total of 61.66% were eager to have classes on campus as compared to online as learning difficulties were felt in 70%, 77% and 81% of 1st, 2nd and 3rd year classes respectively. Of the 1st year 39%, 2nd year 46% and 3rd year 32% showed relief after the mentoring session but were in favor of face to face sessions. Technical issues were faced by 54% 1st year, 66% 2nd year and 64% 3rd year students.
Conclusion: The study suggested that students were overall satisfied with the online mentoring sessions. They do have certain apprehensions like privacy and confidentiality issues but on the whole, they considered this medium as being a powerful one in times of the pandemic.
doi: https://doi.org/10.12669/pjms.38.8.5833
How to cite this:Usmani A, Imran M, Javaid Q, Tariq J. Online mentoring of medical students during COVID-19 pandemic: Another new normal. Pak J Med Sci. 2022;38(8):---------. doi: https://doi.org/10.12669/pjms.38.8.5833
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Effectiveness of avocado leaf extract (Persea americana Mill.) as antihypertensive
Authors: Sutiningsih Dwi , Sari Dewi Puspito , Adi Mateus Sakundarno , Hadi Mochammad , Azzahra Nur Azizah 
Published: September 2022

Background Long-term chemical drug consumption to treat hypertension may have side effects because the levels are sometimes difficult for the body to tolerate. Therefore, some people have used plants as herbal medicine, including avocado leaves (Persea americana Mill.) as antihypertensive. This study aims to find out the differences in the effectiveness of modern drugs and natural antihypertensive ingredients in avocado leaf extract (containing flavonoids and quercetin compounds) in inhibiting the ACE enzyme, which causes decreasing systolic blood pressure (SBP) and diastolic blood pressure (DBP) as well as increasing urine volume. Methods This study used an experimental in vivo study design involving 24 white male Wistar rats (Rattus norvegicus), aged 2–3 months, weighing 130–250 g, and of a healthy condition with active movement. The samples were randomly divided into six treatment groups and post-test only research design with control group design. Results The result of the study showed that avocado leaf extract was effective in reducing blood pressure in Wistar rats with hypertension induced by 16% NaCl for 14 days. SBP fell from 164.92 mmHg to 116.83 mmHg and DBP from 118.42 mmHg to 82.83 mmHg. One-way ANOVA test value significance SBP p=0.000 and Kruskal–Wallis test value of DBP p=0.030, Kruskal–Wallis test urine volume value of p=0.002. The statistical test results proved that avocado leaf extract significantly reduced the blood pressure and increased the urine volume in hypertensive rats. The ACE inhibitor test, performed using an ELISA, showed that the extract inhibition against the ACE enzyme was 60.0±12.1%, serum nitrate levels 41.1±11.5. The decrease in blood pressure occurred because the extract contained a quercetin compound discovered by the high-performance liquid chromatography (HPLC) method of 1129.597 ppm. Conclusions The study showed that the leaf extract of Persea americana Mill. was effective as an antihypertensive.
Recent advancements in machine vision methods for product code recognition: A systematic review
Authors: Koponen Jarmo , Haataja Keijo , Toivanen Pekka 
Published: September 2022

Background: Manufacturing markings printed on products play an important role in the handling and use of pharmaceuticals and perishable foods. Currently, optical character recognition, neural networks, deep learning-based methods, and combinations of these methods are used to recognize these codes. Methods: This systematic review was performed to find papers that can answer the following research questions: How have machine vision methods that can recognize product texts evolved over the past eight years? What are the most common difficulties in recognizing product texts? Articles published between 2012 and 2020 were systematically searched from Science Direct/SCOPUS, and Google Scholar in November-December 2020. Ten studies were eligible, with inclusion criteria: details about the recognition method used, performance analysis result, imaging method, product and the text printed on it. Results: Product text recognition methods have evolved significantly over the last two years to tolerate the most common difficulties in the field. This is due to the ability of the deep learning neural network (DNN) architectures such as convolutional neural networks (CNN) to extract and learn salient character features straight from packaging surface images. Four of the most recent methods use two consecutive deep learning networks, one detecting the text area based on an image captured from the product package's surface and the other recognizing the characters within. Furthermore, this paper presents solutions to the most common product text recognition difficulties. Conclusions: There were a limited number of studies that met the eligibility criteria for this systematic review. The study's aim was to evaluate the development of machine vision methods for recognizing manufacturing marking texts printed on the surface of products. The study results demonstrated how methods have evolved over time, beginning with optical character recognition, and advancing to methods which can recognize texts despite the field's most common problems.
Risk factors of early mortality among COVID-19 deceased patients in Addis Ababa COVID-19 care centers, Ethiopia
Authors: Mezgebu Taye Ashine , Sibhat Migbar Mekonnen , Getnet Melsew Tsegaw , Gebeyehu Kassie Tiruneh , Chane Wuletaw Zewde , Getahun Edmialem Mesfin , Habtamu Asaminew Sane , Asmare Hailu Beyene , Ambaw Melke Mengistie 
Published: September 2022

Background
Severe acute respiratory syndrome coronavirus-2 is a global health care problem with high mortality. Despite early mortality seeming alarming, data regarding factors that lead to increased early mortality of COVID 19 patients is not well-documented yet. The objective of this study was to identify the risk factors of early mortality in patients with confirmed COVID-19 infections.

Methodology
A case-control study design was employed. With this, a total of 261 COVID-19 deceased recordings were reviewed. The cases of the study were recordings of patients deceased within three days of intensive care unit admission whereas, the rest 187 were recordings of patients who died after three days of admission. Data were collected using an extraction checklist, entered into Epi data version 4.4.2.2, and analyzed by SPSS version 25. After the description, binary logistic regression was run to conduct bivariate and multivariable analyses. Finally, statistical significance was declared at p-value <0.05, and an adjusted odds ratio with a 95% confidence interval was used to report the strength of association.

Result
The analysis was performed on 261 (87 cases and 174 controls) recordings. About 62.5% of the participants were aged above 65 years and two-thirds were males. The presence of cardiovascular disease (AOR = 4.79, with 95%CI: 1.73, 13.27) and bronchial-asthma (AOR = 6.57; 95% CI: 1.39, 31.13) were found to have a statistically significant association with early mortality. The existence of complications from COVID-19 (AOR = 0.22; 95% CI: 0.07, 0.74) and previous history of COVID-19 infection (AOR = 0.17, 95% CI: 0.04, 0.69) were associated with decreased risk of early mortality.

Conclusions
Having cardiovascular diseases and bronchial asthma was associated with an increased risk of early mortality. Conversely, the presence of intensive care unit complications and previous history of COVID-19 infection were associated with decreased risk of early mortality.
Preclinical immunogenicity assessment of a cell-based inactivated whole-virion H5N1 influenza vaccine
Authors: Zhang Zhegang , Jiang Zheng , Deng Tao , Zhang Jiayou , Liu Bo , Liu Jing , Qiu Ran , Zhang Qingmei , Li Xuedan , Nian Xuanxuan , Hong Yue , Li Fang , Peng Feixia , Zhao Wei , Xia Zhiwu , Huang Shihe , Liang Shuyan , Chen Jinhua , Li Changgui , Yang Xiaoming 
Published: September 2022

AbstractIn influenza vaccine development, Madin–Darby canine kidney (MDCK) cells provide multiple advantages, including large-scale production and egg independence. Several cell-based influenza vaccines have been approved worldwide. We cultured H5N1 virus in a serum-free MDCK cell suspension. The harvested virus was manufactured into vaccines after inactivation and purification. The vaccine effectiveness was assessed in the Wuhan Institute of Biological Products BSL2 facility. The pre- and postvaccination mouse serum titers were determined using the microneutralization and hemagglutination inhibition tests. The immunological responses induced by vaccine were investigated using immunological cell classification, cytokine expression quantification, and immunoglobulin G (IgG) subtype classification. The protective effect of the vaccine in mice was evaluated using challenge test. Antibodies against H5N1 in rats lasted up to 8 months after the first dose. Compared with those of the placebo group, the serum titer of vaccinated mice increased significantly, Th1 and Th2 cells were activated, and CD8+ T cells were activated in two dose groups. Furthermore, the challenge test showed that vaccination reduced the clinical symptoms and virus titer in the lungs of mice after challenge, indicating a superior immunological response. Notably, early after vaccination, considerably increased interferon-inducible protein-10 (IP-10) levels were found, indicating improved vaccine-induced innate immunity. However, IP-10 is an adverse event marker, which is a cause for concern. Overall, in the case of an outbreak, the whole-virion H5N1 vaccine should provide protection.
Cloning and expression analysis of SERK1 gene in Diospyros lotus
Authors: Zhou Ruijin , Wang Yingying , Zhang Xiaona , Jia Fengqin , Liu Yunli 
Published: September 2022

Abstract
Somatic embryogenesis receptor-like kinases (SERKs), a subfamily of receptor-like kinases, play important roles in response to abiotic stresses in addition to apomictic reproductive development in numerous plant species. The purpose of the present work was to determine if an ortholog of the SERK gene is present in the Diospyros lotus genome, isolate it and analyze its expression during embryogeny and abiotic stress. An ortholog of the SERK gene was isolated from the D. lotus genome, and designated as DlSERK1. The physical and chemical properties, protein structure, and evolutionary relationship of the DlSERK1 protein were analyzed by bioinformatics methods, and the expression of DlSERK1 gene during embryonic development and under low-temperature, salt, and drought stresses was examined through real-time quantitative PCR analysis. DlSERK1 contained 1,881 bp open reading frame encoding 626 amino acids, with a molecular mass of 69.18 kDa and pI of 5.34. DlSERK1 had strong hydrophilic property, signal peptide cleavage sites, and two transmembrane regions, indicating that DlSERK1 is a secretory protein. The secondary structure of DlSERK1 was consistent with the tertiary structure, both of which were dominated by random curls and alpha-helices. DlSERK1 had the typical structure of SERK proteins, and harbored multiple phosphorylation and glycosylation sites. Quantitative analysis showed that DlSERK1 was expressed during the embryonic development period, and the highest expression level was at 10 days post-flowering. The DlSERK1 expression level was down-regulated under low-temperature stress and up-regulated under drought and salt stresses. Our study showed that DlSERK1 was expressed in embryo development and could respond to low-temperature, drought, and salt stresses, which lays a foundation for further research on the function of SERK1 in the apomixis growth and development of environmental adaptation in D. lotus.
Simultaneous triple primary malignancies, including bladder cancer, lymphoma, and lung cancer, in an elderly male: A case report
Authors: Huang Risheng , Li Zhijia , Weng Shanshan , Wu Shenghao 
Published: September 2022

Abstract
Multiple primary malignancies (MPMs) are defined as the coexistence of at least two unrelated primary malignancies in a single patient, with the tumors differing in their histology. MPMs in the same patient, when present within 6 months of the primary tumor diagnosis, are considered a synchronous occurrence. In this case report, we describe a 61-year-old man who presented with three distinct tumors concurrently in 2021: noninvasive urothelial carcinoma of the bladder, diffuse large B-cell lymphoma, and squamous cell carcinoma of the lung. We discuss the process of therapy and briefly review the literature. MPMs are increasing in incidence, requiring an interdisciplinary approach to diagnosis and treatment.
Students’ voices about English language learning in school and beyond
Authors: Carreño Mariangel 
Published: September 2022

Abstract
The research was carried out in a public secondary school with 16 to 18-year-old students in a context usually considered as an EFL one. The main goals were to discover what students said about learning English in and beyond the school and what led them to use English autonomously outside the classroom. A qualitative methodology was used. First, a questionnaire was proposed to 122 students to find out the uses of English outside the school; then, I selected students who were considered good learners of English by their teachers and who had learnt English only in secondary school and autonomously outside school. Based on that criterion, I investigated nine learners using a Facebook survey, two focus groups and learning logs. The idea of good language learners (GLLs) of English described by the teachers focuses on the relationship the learner establishes with the L2 and the external perceptions of what they do with it. On the other hand, GLLs do not share common features that can be generalized; every learner establishes a unique relationship with the L2 and uses varied and changing strategies. What GLL do share is an agentive approach to learning the L2 and a positive appreciation of its cultural artefacts. Learners mainly accessed these artefacts through ICTs working as learning affordances.
Effect of additives on degradation of poly vinyl alcohol (PVA) using ultrasound and microwave irradiation
Authors: Bagal Manisha V. , Saini Rahul R. , Shaikh Abdul Rahim I. , Patil Saurabh , Mohod Ashish V. , Pinjari Dipak V. 
Published: September 2022

Abstract
The degradation of polyvinyl alcohol (PVA) has been investigated using ultrasonic (US) as well as microwave (MW) irradiation techniques with the approach of process intensification based on different additives, such as Titanium Dioxide (TiO2), Sodium Lauryl Sulphate (SLS), Zinc Oxide (ZnO) and air. The effects of sonication time, initial polymer concentration, and temperature on the extent of reduction in viscosity have been thoroughly investigated using US as well as MW irradiation approaches. Basically, the degradation process has been optimized by utilizing two different ultrasonic reactors in a combined approach of ultrasonic horn and bath. The maximum extent of degradation of PVA was found to be 69.33% using MW irradiation with a required energy of 0.321 g/JL, and 62.47% using US horn with a required energy of 0.054 g/JL when operated at 0.1 g/L of TiO2 catalyst. The combination of US horn and US bath results in same degradation as 0.1 g/L of TiO2 catalyst with US horn. It has also been observed that the maximum degradation of PVA was obtained with a minimum treatment time of 3 min using MW irradiation, whereas the US horn required 40 min. Moreover, a lower extent of PVA degradation was obtained when additives were used, such as surfactants (SLS) and air. As a result, it can be inferred that the MW-assisted approach in the presence of process-intensifying additives/catalysts is the best approach for the degradation of PVA with a minimum energy consumption.