bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Suicide and Its Implications in the Newspaper: Focusing on the analysis of newspaper editorials in the 1920s and 30s
Authors:   Korean Language & Literature, Woo Shin-young
Published: August 2023

This study aims to analyze the discourse produced during the colonial period, especially suicide in the 1920s and 30s. Suicide is a concept that reflects modern social signs and cultural changes and is the starting point for interpretations from various perspectives to compete. To this end, this paper examined the suicide discourse formed during the colonial period and focused on newspaper editorials dealing with the concept of suicide as a contemporary phenomenon. This is because it is possible to grasp the phenomenon of suicide and the emotions of the people of the time behind it through the production and distribution of official statements about suicide. As a result of the analysis, the meaning of suicide revealed in the suicide discourse of modern newspapers could be largely divided into three. First, suicide as a social murder, second, suicide as a transitional phenomenon of civilization, and third, suicide as a personal/ethnic failure. Suicide discourses classified into these three types were analyzed to induce specific discourse effects by combining expressive, narrative, and value layers, respectively. Through the above work, it was confirmed that the suicide discourses produced and distributed by newspapers during the colonial period rearranged the public's perception in a specific direction.
Let’s Keep in Touch : Strong Cell-cell Contacts for Healthy Lungs
Authors: Heijink Irene
Published: August 2023

Prof Irene Heijink (1975) and her team study the mechanisms underlying lung tissue damage in various lung diseases, such as asthma, COPD and pulmonary fibrosis She does this in close collaboration with the clinic, using culture models with cells derived from patients. Heijink directs the Experimental Lung Diseases Lab (EXPIRE) and is currently programme leader of the Groningen Research Institute for COPD (GRIAC), a multidisciplinary and translational research institute in which close collaboration takes place between basic and clinical scientists. Lung diseases are a major social problem. Diseases such as asthma and COPD are common and have a major impact on quality of life. In fact, COPD is currently the third box cause worldwide. Lung diseases are often only detected at a late stage when there is already significant damage that is no longer treatable. In particular, damage to the lining layer of the airways and lungs (the epithelium - involved in immune processes) with loss of mutual contact between cells in this layer is currently seen as a crucial part of disease processes. Irene Heijink discovered that an important directing role is played by the damaged epithelium in the derailed inflammatory response in the lungs of asthma and COPD patients. In her Chair in Cellular and Molecular Lung Pathology, Heijink aims to develop new strategies to repair the epithelial barrier in lung diseases and thereby stop or even reverse the disease process. In doing so, she uses advanced culture models (such as lab-on-chip), which she is developing within a large national collaboration to detect lung damage earlier and find new leads for treatment. She is also developing a new strategy in collaboration with the University of Twente, using an innovative technology, to better treat damage deep in the lungs and possibly even achieve tissue repair.
Physicochemical Characterization and Mineral Composition of “UENF SD 08”: A Super-Sweet Corn Hybrid
Authors: da Cruz Larissa Leandro , Moreno Bernardo Gonçalves Gabriel , Pereira Silva Menezes de Faria , Barboza Jamila Rodrigues , Moraes Luana Pereira de , Gonzaga Pereira Messias , Freitas Marta Simone Mendonça , de Oliveira Daniela Barros
Published: August 2023

Sweet Corn (Zea mays L.) is possibly the most important commercial cereal originating in the Americas. Mutant genes are responsible for sweetness. The purpose of this study was to evaluate the physicochemical and mineral composition of the “UENF SD 08” cultivar, super-sweet corn developed at Darcy Ribeiro Northern Rio de Janeiro State University (UENF) and registered in the National Cultivar Register of the Ministry of Agriculture, Livestock, and Supply and to compare its content to commercial super-sweet corn and field corn. Grain analyses were conducted at the Food Technology Laboratory, Phytotechnics Laboratory, and Animal Science Laboratory, UENF. The pH, total soluble solids, proximate composition, and mineral content were determined. In addition to the “UENF SD 08” cultivar, the “Tropical Plus®” cultivar, and the “UENF 506-11”, field corn cultivar were also studied. When comparing the mineral content, we observed there was not a great variability between the two super-sweet corn cultivars (“UENF SD 08” e “Tropical Plus®”). We highlight that both cultivars have higher soluble sugar concentration and less starch content for proximate composition. Therefore, having a cultivar adapted to the Northern Rio de Janeiro climatic conditions and knowing its nutritional characteristics is important for producers and individuals who will consume it, fresh or corn products.
Genetic identification of Giardia lamblia in children for Tikrit city, Iraq
Authors: Mostafa Deema K. , Ghanim Abdulwahhab Intisar , Shihab Ahmed Najwa
Published: August 2023

Giardia lamblia, also known as (Giardia duodenalis or Giardia intestinalis) is
the causative agent of giardiasis, and it is the most common parasitic diarrheal
disease that affects humans and more than 40 species of other mammals. The
study recorded (17) positive cases of Giardia infection out of a total of (47) samples diagnosed microscopically for pediatric patients arriving at Tikrit General
Hospital from nearby areas. The results showed that the percentage of positive
cases of infection with the Giardia parasite amounted to (36.2%) for PCR, as
significant differences appeared when compared with the microscopic examination ( P value< 0.05). Also, the rates of infection with the parasite varied between
males and females, and the percentage of infection in males reached (53.2%),
while the percentage of infection in females was (43.14%); the results showed the
relationship between infection and Giardia by age groups less than one year,
where the percentage amounted to 44.6%, followed by the age group 1-2 years,
the percentage reached 31.9%, and the lowest percentage was in the age group 3-
4 years 10.6%.PCR technique diagnosed the specific region within the DNA of
the parasite Giardia using special primers for the encoded gene (for Giardia2029/Gia2150c) and (for Giardia). Also, it was sequenced and aligned. The
isolate in the current study was 100% similar to the globally recorded isolate. In
conclusion, the methods of detection of Giardia showed differences in positive
results for this parasite. In addition, there are more infections in males than in
females aged less than one year more infected than in other ages.
Keywords: Giardia lamblia, Giardia2029/Gia2150c, Giardia gene
A Comprehensive, Valid, and Reliable Tool to Assess the Degree of Responsibility of Digital Health Solutions That Operate With or Without Artificial Intelligence: 3-Phase Mixed Methods Study
Authors: Lehoux Pascale , Rocha de Oliveira Robson , Rivard Lysanne , Silva Hudson Pacifico , Alami Hassane , Mörch Carl Maria , Malas Kathy
Published: August 2023

Background

Clinicians’ scope of responsibilities is being steadily transformed by digital health solutions that operate with or without artificial intelligence (DAI solutions). Most tools developed to foster ethical practices lack rigor and do not concurrently capture the health, social, economic, and environmental issues that such solutions raise.

Objective

To support clinical leadership in this field, we aimed to develop a comprehensive, valid, and reliable tool that measures the responsibility of DAI solutions by adapting the multidimensional and already validated Responsible Innovation in Health Tool.

Methods

We conducted a 3-phase mixed methods study. Relying on a scoping review of available tools, phase 1 (concept mapping) led to a preliminary version of the Responsible DAI solutions Assessment Tool. In phase 2, an international 2-round e-Delphi expert panel rated on a 5-level scale the importance, clarity, and appropriateness of the tool’s components. In phase 3, a total of 2 raters independently applied the revised tool to a sample of DAI solutions (n=25), interrater reliability was measured, and final minor changes were made to the tool.

Results

The mapping process identified a comprehensive set of responsibility premises, screening criteria, and assessment attributes specific to DAI solutions. e-Delphi experts critically assessed these new components and provided comments to increase content validity (n=293), and after round 2, consensus was reached on 85% (22/26) of the items surveyed. Interrater agreement was substantial for a subcriterion and almost perfect for all other criteria and assessment attributes.

Conclusions

The Responsible DAI solutions Assessment Tool offers a comprehensive, valid, and reliable means of assessing the degree of responsibility of DAI solutions in health. As regulation remains limited, this forward-looking tool has the potential to change practice toward more equitable as well as economically and environmentally sustainable digital health care.
Machine Learning Models for Prediction of Maternal Hemorrhage and Transfusion: Model Development Study (Preprint)
Authors: Ahmadzia Homa Khorrami , Dzienny Alexa C , Bopf Mike , Phillips Jaclyn M , Federspiel Jerome Jeffrey , Amdur Richard , Rice Madeline Murguia , Rodriguez Laritza
Published: August 2023

BACKGROUND

Current postpartum hemorrhage (PPH) risk stratification is based on traditional statistical models or expert opinion. Machine learning could optimize PPH prediction by allowing for more complex modeling.

OBJECTIVE

We sought to improve PPH prediction and compare machine learning and traditional statistical methods.

METHODS

We developed models using the Consortium for Safe Labor data set (2002-2008) from 12 US hospitals. The primary outcome was a transfusion of blood products or PPH (estimated blood loss of ≥1000 mL). The secondary outcome was a transfusion of any blood product. Fifty antepartum and intrapartum characteristics and hospital characteristics were included. Logistic regression, support vector machines, multilayer perceptron, random forest, and gradient boosting (GB) were used to generate prediction models. The area under the receiver operating characteristic curve (ROC-AUC) and area under the precision/recall curve (PR-AUC) were used to compare performance.

RESULTS

Among 228,438 births, 5760 (3.1%) women had a postpartum hemorrhage, 5170 (2.8%) had a transfusion, and 10,344 (5.6%) met the criteria for the transfusion-PPH composite. Models predicting the transfusion-PPH composite using antepartum and intrapartum features had the best positive predictive values, with the GB machine learning model performing best overall (ROC-AUC=0.833, 95% CI 0.828-0.838; PR-AUC=0.210, 95% CI 0.201-0.220). The most predictive features in the GB model predicting the transfusion-PPH composite were the mode of delivery, oxytocin incremental dose for labor (mU/minute), intrapartum tocolytic use, presence of anesthesia nurse, and hospital type.

CONCLUSIONS

Machine learning offers higher discriminability than logistic regression in predicting PPH. The Consortium for Safe Labor data set may not be optimal for analyzing risk due to strong subgroup effects, which decreases accuracy and limits generalizability.
ULUSLARARASI PAZARLARDA İNOVASYON ve SÜRDÜRÜLEBİLİRLİK: X SERAMİK ŞİRKETİNDE DEĞERLENDİRME
Authors: DURAL Serpil , ŞENER Habibe Yelda , TAŞKIN Ercan
Published: August 2023

Amaç: İşletmeler, Ar-ge odaklı değer yaratan pazarlama faaliyetlerinin gelecek kuşaklar üzerinde olumsuz etkilerini önlemek için sürdürülebilir inovasyona yönelmektedir. Sürdürülebilir inovasyondan sağlanan değer, sürdürülebilir gelişmedir ve bu gelişmeye yönelik pazarlama stratejileri izlenmelidir. Araştırmanın amacı; Kütahya seramik sektöründeki uluslararası firmanın inovasyon odaklı stratejik pazarlama hedefleri ve araçlarını, sürdürülebilirlik değer önerilerini, bünyesi içindeki ve dışındaki sürdürülebilir inovasyona etki eden faktörleri ile inovasyon özellikleri bakımından nasıl sınıflandırıldığını belirmektir.
Yöntem: Araştırmada nitel tasarımdan yararlanılmış ve yargısal örnekleme kullanılmıştır. Araştırmada; öncelikle firmanın üst düzey yöneticileri ile yüz yüze görüşmelerden birincil veriler toplanmış, sonrasında kurumsal web sayfaları başta olmak üzere firma içi kayıtlar ve ikincil verilerin analiziyle çoklu veri kaynaklarından yararlanılmıştır.
Bulgular: Araştırma bulgularında, firmanın sürdürülebilir inovasyonu bir yatırım olarak gördüğü; farklı pazarlarda farklı inovasyon odaklı stratejik pazarlama hedeflerine sahip olduğu; sürdürülebilir inovasyonunun gelişiminde, tüm iç ve dış faktörlerin etkili olduğu; sürdürülebilir inovasyon özellikleri bakımından toplumsal değişimi hedefleyen “sistem kurma” aşamasında sınıflandırılabileceği belirlenmiştir.
Sonuç: Seramik sektöründe yapılan araştırmanın sonucu, literatürü destekler niteliktedir.
Theatre and Socio-Cultural Aspects in the Novels of Badal Sircar
Authors: Rashmi Rashmi , Govind Dr. Brij
Published: August 2023

Badal Sircar, a pioneer of Indian theatre, is renowned for his innovative approach to drama, but his influence extends beyond the stage. This study delves into the socio-cultural dimensions embedded in Sircar's novels, exploring how his literary narratives mirror the societal fabric of their times. By analyzing his novels, this research seeks to uncover the profound interplay between theatre and socio-cultural aspects within his written works. The study begins by situating Sircar's novels within the broader context of Indian literature and theatre, outlining the historical and cultural forces that shaped his creative expressions. Furthermore, the research probes the impact of Sircar's socio-cultural critiques on readers and society. It investigates how his novels shed light on prevailing issues, prompting readers to reflect on the complexities of the human condition and the societal forces that shape it. The study also underscores the role of Sircar's novels in providing historical and cultural documentation, allowing readers to peer into the past while contemplating contemporary relevance. In conclusion, this study illuminates the intricate interplay between theatre and socio-cultural aspects in the novels of Badal Sircar. By analyzing the thematic depth, narrative techniques, and socio-cultural commentaries within his novels, it highlights the enduring significance of his literary contributions beyond the realm of theatre. Through this exploration, the research contributes to a deeper understanding of the intersections between literature, theatre, and society, and their collective impact on cultural narratives.
Detection of Land Use and Land Cover Change in Jammu District using Remote Sensing and GIS Techniques
Authors: Gupta Prof. Dr. Sanjeev Kumar , Kumar Anoop , Kumar Shivwant , Singh Aman , Singh Sandeep
Published: August 2023

Abstract: Jammu District has under gone a massive change in its land use and land cover in last 30 years. It has grown 2.5 times in its population in past 3 decades and simultaneously the infrastructure supporting the population growth has increased altering the overall land cover. With the growing population the demand for arable land, infrastructure development, land resource management becomes an obligation for effective optimization of resources and policy formulation and implementation. In this research the land use land cover change detection and analysis in last 30 years from 1993 to 2023 is attempted for the first time. The classification is achieved by supervised image classification of Landsat 5 and Landsat 9 Level 1 imagery acquired from USGS. The classification scheme is developed for five classes viz. Water Bodies, Built-Up Area, Agriculture, Barren Land and Forests. Change detected is -3% for water bodies, +5% for built-up area, +29 % for agricultural land, -22% for barren land, -9% for forest cover. The percentages are calculated of the total area. The overall accuracy is maintained at 87% for year 1993 and 78% for year 2023.
Face Detection and Recognition Using Raspberry Pi
Authors: Tonpe Tejas , Saggam Tejas , Limbare Nutan , Pokharkar Prof. Sagar
Published: August 2023

: The face detection and recognition system using Raspberry Pi is a security system that uses advanced algorithms to detect and recognize faces. The system is designed to authorize access to individuals with authorized faces and deny access to unauthorized individuals. The system integrates with a door lock, and if an authorized face is detected, the door lock is automatically opened. If an unauthorized face is detected, a buzzer is activated to notify security personnel, and an email is sent to an authorized person to alert them of the security breach. The system requires high accuracy in face detection and recognition, and it is essential to ensure the system's privacy compliance. The integration of the system with hardware components requires programming skills, and regular maintenance and updates are necessary to ensure the system operates correctly and remains secure.
Cryptographic Money Value Expectation Utilizing ARIMA Model
Authors: Manasa Gandhari , Ramireddy Dr. G . Venkata
Published: August 2023

Abstract: In the beyond couple of years, the cryptocurrency market has developed at a rate that has never been seen. Cryptocurrency works like standard cash, however virtual installments for labor and products are made without the assistance of a national bank or government. Digital money utilizes cryptography to ensure that all exchanges are legitimate and remarkable, however this business is simply beginning, and serious worries have been made about its utilization. To get a full image of individuals' opinion on digital money, it is vital to take a gander at how they feel about it. Along these lines, this study utilizes an assortment of tweets about cryptographic money, which are frequently used to foresee the cost of digital currency available, to do both temperament examination and feeling acknowledgment. A deep learning outfit model called LSTM-GRU is prescribed to deal with the accuracy of the assessment. It integrates two reasons for recurrent neural network: long short-term memory (LSTM) and gated recurrent unit (GRU). LSTM and GRU are collected with the end goal that the GRU gains from the features that LSTM finds. Using term repeat in reverse report repeat, word2vec, and bag-of words (BoW) incorporates, a couple of ML and profound learning methods and a suggested group model are considered. Furthermore, TextBlob and Text2Emotion are looked at to see how they can be used to analyze sentiments. Similarly, more individuals feel blissful when they use cryptographic money. Dread and shock are the following most normal sentiments. The outcomes show that when BoW qualities are utilized, ML models perform better compared to when they don't. The accuracy of the recommended LSTM-GRU gathering for breaking down state of mind and anticipating feelings is 0.99 and 0.92, separately. This is superior to both ML and cutting edge models.
Breve Análisis de la Aproximación Antropológica del Turismo
Authors: Mancilla Luciana Belén
Published: August 2023

El siguiente trabajo escrito pretende explorar la relación entre antropología y turismo, además de generar y ampliar material bibliográfico al respecto. En este contexto, se presentará un análisis interpretativo resultado de una pertinente búsqueda bibliográfica de publicaciones de investigaciones científicas abocadas al detonante social del turismo, y el interés de la antropología por estudiarlo. Por ello, a modo de contraste, se parte por una noción económica, seguido por un análisis de la aproximación antropológica del turismo. Finalmente, en la sección de discusión se explora los cambios que ha sufrido el encuentro turístico como consecuencia de nuevos grupos sociales de turistas que experimentan la actividad y se interrelacionan de manera diferente.
Saberes no hegemónicos en las manifestaciones artísticas feministas/transfeministas de Santa Cruz
Authors: Moreira Giselle
Published: August 2023

Los movimientos artísticos-literarios de la actualidad enfatizan las diversas consecuencias que generan los sistemas de dominación, los cuales se reflejan en múltiples manifestaciones, sobre todo en las artísticas. En el caso particular del arte feminista/transfeminista en la provincia de Santa Cruz, estas disyuntivas también se ven plasmadas, especialmente, en las representaciones de lxs cuerpxs y en los modos de producción y circulación de lxs mismxs. En base a esto, el siguiente artículo propone un análisis sobre distintas manifestaciones artísticas llevadas a cabo en la Patagonia Austral, particularmente en la provincia de Santa Cruz. Para ello, se tendrán en cuenta aquellas producciones que, por un lado, se inscriben en el paradigma feminista/transfeminista y por otro, abordan saberes no hegemónicos. Se pretende mostrar cómo estos proyectos critican los sistemas de dominación propios de la sociedad contemporánea a través de las políticas y poéticas que crean.
Poética y Hermenéutica: El Ser Diciente
Authors: Zavaley Pablo Marcelo
Published: August 2023

El propósito del presente trabajo es abordar dos textos de Hans-Georg Gadamer titulados: ¿Quién soy yo y quién eres tú? Comentario a “Cristal de aliento” de Paul Celan y Acerca de la verdad de la palabra. Destacando la comprensión como un fenómeno extensible a todo obrar humano y en ese sentido en relación al texto poético la caracterización del texto eminente, es decir, de un texto que se distingue de otros. Eso se vincula con los modos en que la verdad acaece en la poesía. Para ello se investiga la relación casi inasible entre sonido, sentido y la cuestión de ser Diciente de la palabra poética como mantenimiento de la proximidad.
Performance of civil servants: The role of motivation and organizational culture
Authors: Karepesina Muhammad Tahir
Published: August 2023

This study aims to analyze the influence of organizational culture and work motivation on the performance of civil servants in Indonesia. This research is a quantitative study, using survey methods and distributing questionnaires to 31 respondents from the Regional Development Planning Agency (RDPA), Central Maluku Regency, through a census. The statistical method uses multiple regression analysis with IBM SPSS Statistics software version 20.0. The results of the study explain that motivation has no effect on employee performance. This condition implies that motivation needs to be encouraged and driven by the leadership so that employees want to work optimally. On the other hand, factors of communication, coordination, environment, achievement recognition, and mutual respect are needed to create comfortable working conditions for all parties. Meanwhile, organizational culture factors have a very positive effect on employee performance. These results prove that a strong organizational culture is the result of spreading trust and values that develop within an organization and directing employee behavior in the desired direction thereby increasing a sense of comfort and loyalty to the organization.
Innovation marketing management by using negative emotional value and impact of online learning on intention to enrol
Authors: Achmadi Hendra , Pramono Rudy
Published: August 2023

This study was purposed to determine whether online learning influences e-service quality at the university administration during the pandemic and its impact on intention to enrol, because all high school students have been learning from home for two years, so the interaction behavior has pushed the administration of the university to become more digital than before. The second problem is that before this research, most marketing approaches only focused on positive emotions to make a decision to enroll, and this research has proven that the negative emotion can be used by marketing to influence the student to enrol in the university. The methodology in this research is a quantitative methodology the partial least squares structural equation modeling (PLS-SEM) analysis method using the SmartPLS was applied. A multi-equation model, namely the outer model and inner model, was used. In the outer model, the sample consists of 242 students of tenth to twelfth grade in high school in Jakarta, Banten, Lampung, and Yogyakarta. The main finding and contribution from this research are that the online experience of students in higher education will influence the e-service quality at the university administration, so the student experience in online learning influence e-service quality to intention to enroll. It was found that negative emotion positively influences and is significant to the intention to enrol and this can be used for one of the marketing strategies. The limitation of this research is that the negative emotions in this research cover only nervousness, so further research can test other negative emotions that can affect the intention to enroll.
THE TYPES AND FUNCTIONS OF SWITCHING AND MIXING CODES IN ENGLISH STUDENTS’ ONLINE DISCUSSIONS
Authors: Rejeki Sri , Husna Nida , Alek Alek , Hidayat Didin Nuruddin
Published: August 2023

This study aims to discover the switching and mixing code types and their functions that are dominantly used in student online discussions. This research was designed in descriptive-qualitative method by using video recordings and interviews from Pragmatics class of postgraduate degree students as the data sources. The obtained data were then analyzed using Miles and Huberman model of analysis by involving data reduction, data display, and conclusion drawing. The results showed that students frequently switched and mixed codes during the discussions. In this case, ode mixing was dominantly occurred compared to code switching. There were 78 occurrences of code changes in total, with the proportions of 44 mixings and 34 switchings. Dealing with the types, insertion code mixing was found to be the mostly used in the discussions whereas intersentenential switching becomes the least. The phenomena of code switching and mixing in the classroom discussions has various functions, i.e.: for communication strategy, for delivering the meaning, for making clarification of the information, for defining specific terms, and for increasing understanding. This study also reflects the students' positive attitudes toward using switching and mixing codes in classroom discussion activities. It is recommended for further research to ensure the appropriate strategies for the teachers in switching and mixing codes for both offline and online classes.
CNN Detection of Vertebral Bone Segmentation and Non-Traumatic Vertebral Compression Fractures from Computed Tomography (CT) Images
Authors: Türkmen Murat , Orman Zeynep , Hamid Rauf , Arslan Serdar
Published: August 2023

Vertebral compression fractures are a more common pathological condition
with prolonged life expectancy. The decrease in bone mass with age is
effective in the formation of non-traumatic vertebral compression
fractures. Since non-traumatic vertebral compression fractures are
usually asymptomatic for a long time, early detection in this period
offers a reduction in comorbidities and the possibility of more
effective treatment. Deep learning methods offer effective solutions for
the detection, classification, diagnosis, and segmentation of
pathological conditions with high accuracy and sensitivity in the field
of health. In recent years, deep learning methods have been used more
frequently in the detection of non-traumatic vertebral compression
fractures and vertebral corpus segmentation research. In this study, a
unique data set is presented for the application of deep learning
methods by processing the raw Computed Tomography (CT) image data of the
patients. The original data set was created from retrospective CT images
of patients who received radiological diagnosis with CT in Istanbul
University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of
Radiology. The original dataset consisted of 197 people, 100 patients
with non-traumatic vertebral compression fractures and 97 patients
without. Vertebral compression fracture radiological diagnoses were
added to the data set with a CT report. A total of 197 people have
118200 cross-section images in DICOM format. Images are enhanced by
applying the wiener filter. Segmentation of 6301 vertebrae was performed
using the U-Net network at 100% dice overlap index score. 593 features
of vertebral fractures confirmed by the report were extracted using the
radiomics method. 537 features were selected with the logarithmic lambda
method. Patients were classified with 86.7% accuracy using the
Convolutional Neural Network (CNN) classification model. The
classification result was evaluated by creating roc-auc, loss, and
accuracy graphs.
An analysis of the VELNEZ nasal pack’s acceptability and safety for use during nasal surgery: a prospective study
Authors: Singh Akhil Pratap , Singh Saloni , Malik Ridhima , Gupta Ritu , Pandey Siddharth
Published: August 2023

Introduction Nasal packs are indispensable to nasal surgeries.
The primary function of these packs is to modulate the bleeding, prevent
adhesions and obstruction, with least discomfort to the subjects without
risking secondary infection. However, both packing and removal of the
pack is an unpleasant experience, with the latter being extremely
painful. Therefore, to overcome the limitation of the standard dressing,
the need of the hour is a dressing which prioritizes subject comfort
without compromising other desired nasal pack properties.
Methods Twenty subjects were enrolled in this interventional,
open label study. The subjects had 10 hospital visits, starting from
baseline (Visit 1) to postoperative day 28 (Visit 10), at regular
intervals. The proportion of the population with postoperative pain
alleviation and bleeding control failure (within 10 minutes) were the
main objectives. Result Within 10 minutes of VELNEZ
administration, all 20 participants got their bleeding under control.
With VELNEZ, the painful nasal pack removal method was totally avoided
because it was biodegradable. No moderate/severe pain, infection and
adhesions were reported in any of the subjects, but few subjects
reported moderate obstruction until Visit 3 (Discharge Day).
Conclusion In the present study, for participants undergoing
nasal surgery, VELNEZ proved to be a secure and reliable nasal pack.
Plants select arbuscular mycorrhizal fungi that functionally complement their root traits
Authors: Ramana John , Tylianakis Jason , Ridgway Hayley , Dickie Ian
Published: August 2023

The criteria by which plants select symbiotic partners are largely
unknown, but functional complementarity of partner traits could be
important to symbioses such as arbuscular mycorrhizas. Specifically,
coarse-rooted plants are more likely to be limited by nutrient diffusion
compared with fine-rooted plants, and therefore more reliant on fungi
that can compensate with traits that maximize soil exploration. However
there remains no evidence directly linking plant root traits and fungal
functional traits. We transplanted the root microbiome of 30 native and
exotic plant species ranging in root diameter, onto an unrelated host
plant species in multi-compartment pots. We then quantified fungal
hyphal exploration and characterized the fungal community near and far
from roots. We found that arbuscular mycorrhizal fungi from
coarse-rooted plants produced more hyphal biomass and explored further
away from the plant roots. This study provides the first evidence of
functional complementarity between plant roots and arbuscular
mycorrhizal fungi.
Study on differentiated lightning protection for 10kV distribution lines
Authors: Feng Chang , Chen Shaonan , Su Jinsheng , Ma Shoufeng , Ma Shouxiao
Published: August 2023

Distribution lines are susceptible to induced lightning overvoltage and
lightning accidents, the installation of lightning protection facilities
on the distribution line can effectively reduce the impact of induced
lightning overvoltage on the line, the conventional lightning protection
facilities are installed without taking into account the topography of
the line is located in the problem, resulting in poor technical economy,
there is a certain degree of blindness. This paper establishes the
induced lightning overvoltage calculation model in ATPDraw, simulates
and analyses the level of induced lightning resistance of the line. And
according to the topographic and geomorphological characteristics of
Guangxi, distribution network line tower spacing, conductor type and
regional minefield level, the distribution line lightning protection
level is divided into A, B, C three levels, and different lightning
protection schemes are used for them. Wen through the distribution line
lightning protection facilities differentiation research, can
effectively reduce the impact of induced lightning overvoltage on the
line, improve power supply reliability, reduce operating costs, while
the relevant conclusions of the study can guide the production practice,
reduce the pressure of the first-line workers overhaul.
Beyond a single temperature threshold: applying a cumulative thermal stress framework to plant heat tolerance
Authors: Cook Alicia , Rezende Enrico , Petrou Katherina , Leigh Andrea
Published: August 2023

Most plant thermal tolerance studies focus on single critical
thresholds, which are arbitrary and phenomenological, limiting the
generality of findings across studies. In animals and microbes, thermal
tolerance landscapes describe the more realistic, cumulative effects of
temperature. We tested this in plants by measuring the decline in leaf
photosynthetic efficiency (F/F) of two
species following a combination of temperatures and exposure times. As
predicted by the thermal tolerance landscape framework, we demonstrate
that a general relationship between stressful temperatures and exposure
durations can be effectively employed to quantify and compare heat
tolerance within and across plant species and over time. We also show
how F/F curves translate to natural
conditions, suggesting that natural environmental temperatures often
impair photosynthetic function. Our findings provide more robust
descriptors of heat tolerance in plants, and suggest that heat tolerance
in disparate groups of organisms can be studied with a single analytical
framework.
Distinct impacts of food restriction and warming on life history traits affect population fitness in vertebrate ectotherms
Authors: Bazin Simon , Hemmer-Brepson Claire , Logez Maxime , Sentis Arnaud , Daufresne Martin
Published: August 2023

Body size shifts in ectotherms are mostly attributed to the Temperature
Size Rule stating that warming speeds up initial growth rate but leads
to smaller size when food availability does not limit growth.
Nevertheless, climate warming can decrease food availability, which can
influence growth, fecundity and survival. However, the interactive
effects of temperature and food availability on life history traits have
been mostly studied in small invertebrate species. In contrast, we have
limited information on how temperature and food availability jointly
influence life history traits in vertebrate predators and how changes in
different life history traits combines to influence population
demography. We investigated the independent and interactive effects of
temperature and food availability on traits of the medaka fish Oryzias
latipes. We used our empirical estimates of vital rates as input
parameters of an Integral Projection model to predict how modifications
in vital rates translate into population demography. Our results confirm
that warming leads to a higher initial growth rate and lower size
leading to crossed growth curves between the two temperatures.
Food-restricted fish were smaller than ad libitum fed fish throughout
the experiment. Fish reared at 30 °C matured younger, had smaller size
at maturity, had a higher fecundity but had a shorter life span than
fish reared at 20 °C. Food restriction increased survival under both
temperature conditions. Warming reduces generation time and increases
mean fitness in comparison to the cold treatments. Food restriction
increased generation time and fitness in the cold treatment but had no
effect in the warm treatment. Our results highlight the importance of
accounting for the interaction between temperature and food availability
to understand how body size shifts can affects vital rates and
population demography. This is of importance in the context of global
warming as resources are predicted to change with increasing
temperatures.
Cardioprotective effect of Cinnamamide derivative compound 10 against myocardial ischemia-reperfusion through regulating cardiac autophagy via Sirt1
Authors: Xue Wenhua , Liu Jingjing , Xu Xueli , Chen Chengxin , Wei Bo , Zhao Yangchao
Published: August 2023

Background and Purpose: Our previous research discovered that
cinnamamide derivatives are a new type of potential cardioprotective
agents myocardial ischemia-reperfusion (MIR) injury, among which
Compound 10 exhibits wonderful beneficial action in vitro. However, the
exact mechanism of Compound 10 still needs to be elucidated.
Experimental Approach: The protective effect of Compound 10 was
determined by detecting the cell viability and LDH leakage rate in H9c2
cells subjected to H2O2. Alterations of electrocardiogram,
echocardiography, cardiac infarct area, histopathology and serum
myocardial zymogram were tested in MIR rats. Additionally, the potential
mechanism of Compound 10 was explored through PCR. Network pharmacology
and Western blotting was conducted to monitor levels of proteins related
to autophagic flux and mTOR, autophagy regulatory substrate, induced by
Compound 10 both in vitro and in vivo, as well as expressions of
Sirtuins family members. Key Results: Compound 10 significantly
ameliorated myocardial injury, as demonstrated by increased cell
viability, decreased LDH leakage in vitro, and declined serum myocardial
zymogram, ST elevation, cardiac infarct area and improved cardiac
function and microstructure of heart tissue in vivo. Importantly,
Compound 10 markedly enhanced the obstruction of autophagic flux and
inhibited excessive autophagy initiation against MIR by decreased P-mTOR
and increased LAMP2. Furthermore, Sirt1 knockdown hindered Compound 10’s
regulation on mTOR, leading to interrupted cardiac autophagic flux.
Conclusions and Implications: Compound 10 exerted cardioprotective
effects on MIR by reducing excessive autophagy and improving autophgic
flux blockage. Our work would take a novel insight in seeking effective
prevention and treatment strategies against MIR injury. Keywords:
Myocardial ischemia-reperfusion; Cinnamamide derivatives; Autophagic
flux; Sirt1; mTOR;
Update on Pharmacological Activities, Security, and Pharmacokinetics of Aloe-emodin
Authors: Luo Haimeng , Ji Xiaoyun , Zhang Mengyu , Ren Yaoyao , Tan Rui , Jiang Hezhong , Wu Xiaoqing
Published: August 2023

Aloe-emodin (AE), a naturally occurring anthraquinone derivative,
represents one of the principal active components found in various
Chinese herbs such as Cassia occidentalis, Rheum palmatum L., Aloe vera,
and Polygonum multiflorum Thunb. AE has been shown to possess a diverse
range of pharmacological effects including anticancer, antivirus,
anti-inflammatory, antibacterial, neuroprotective, and hepatoprotective
properties. These remarkable therapeutic attributes provide a solid
foundation for treating an array of diseases ranging from influenza
virus, inflammation, sepsis, Alzheimer’s disease, glaucoma, malaria,
liver fibrosis, psoriasis, Type 2 diabetes, growth disorders, and
several types of cancers. However, despite its promising potential,
clinical application of AE is somewhat limited by poor intestinal
absorption, short elimination half-life, and low bioavailability.
Furthermore, AE may exhibit potential liver and kidney toxicity.
Therefore, this paper aims to review the pharmacological effects of AE
along with its mechanism, pharmacokinetics, and safety studies, in order
to offer valuable insights into the development and application of AE.
One-step Preparation of Binder-free Nickel Containing Graphene Foam Electrode for Supercapacitors
Authors: GULTEKIN Sirin SIYAHJANI , KARIMI Aziz Ahmad , CAN Mustafa , DEMIC Serafettin
Published: August 2023

A nickel hydroxide (Ni(OH) )-modified reduced graphene
oxide (rGO) foam electrode for supercapacitor application is presented
in this study. The electrode was made without binder through a one step
process. In order to compare the supercapacitor performance of as
synthesized graphene foam electrode, rGO and rGO:carbon black (CB)
standard electrodes with PVDF-HFP binder were also synthesized . All
electrodes were then characterized structurally (XPS, EDS, RAMAN, XRD,
and FT-IR) and morphologically (SEM). Ni-containing electrodes were
found in the α-Ni(OH)2:rGO structure. NirGO3 has 800 Fg
capacitance, while rGO:CB has 900. Thus NirGO3 has
the best capacitive performance among binder-free electrodes, comparable
to rGO:CB.
Morphology and sediment dynamics of Blossom Shoals at Icy Cape, Alaska
Authors: Eidam Emily , Thomson Jim , Malito John , Hosekova Lucia
Published: August 2023

Capes and cape-associated shoals represent sites of convergent sediment
transport, and can provide points of relative coastal stability,
navigation hazards, and offshore sand resources. Shoal evolution is
commonly impacted by the regional wave climate. In the Arctic, changing
sea-ice conditions are leading to (1) longer open-water seasons when
waves can contribute to sediment transport, and (2) an intensified wave
climate (related to duration of open water and expanding fetch). At
Blossom Shoals offshore of Icy Cape in the Chukchi Sea, these changes
have led to a five-fold increase in the amount of time that sand is
mobile at a 31-m water depth site between the period 1953-1989 and the
period 1990-2022. Wave conditions conducive to sand transport are still
limited to less than 2% of the year, however - and thus it is not
surprising that the overall morphology of the shoals has changed little
in 70 years, despite evidence of active sand transport in the form of
1-m-scale sand waves on the flanks of the shoals which heal ice keel
scours formed during the winter. Suspended-sediment transport is
relatively weak due to limited sources of mud nearby, but can be
observed in a net northeastward direction during the winter (driven by
the Alaska Coastal Current under the ice) and in a southwestward
direction during open-water wind events. Longer open-water seasons mean
that annual net northeastward transport of fine sediment may weaken,
with implications for the residence time of fine-grained sediments and
particle-associated nutrients in the Chukchi Sea.
Influenza aviar de alta patogenicidad y sus saltos interfaces entre aves y mamíferos: situación actual
Authors: Velasquez Peña María Alejandra , Manrique Flórez Alvaro José , Jaramillo-Hernández Dumar Alexander
Published: August 2023

La influenza aviar, causada por cepas altamente patógenas del virus de la influenza tipo A, ha sido objeto de preocupación global debido a su capacidad para infectar a aves de corral y vida silvestre, así como a su potencial para transmitirse a los seres humanos. En este artículo de revisión, se examinan los datos y la información proporcionada por los Centros para el Control y la Prevención de Enfermedades (CDC), Organización mundial de Sanidad Animal (OMSA), Departamento de Agricultura (USDA-APHIS) y la Biblioteca Nacional de Medicina (PubMed) de los Estados Unidos, sobre la influenza aviar. Se abordan aspectos clave de la enfermedad, incluyendo su epidemiología, mecanismos de transmisión, manifestaciones clínicas, diagnóstico, prevención y control. Además, se exploran los últimos avances en la investigación y se discuten las perspectivas futuras en el campo de la influenza aviar.
Related Party Transactions and Audit Quality: Evidence on the Efficacy of Auditing Standard No. 18
Authors: Ahmed Anwer S. , Al-Dah Bilal , El-Helaly Moataz , Fleszar Krzysztof
Published: August 2023

We provide evidence on the efficacy of Auditing Standard No. 18 (AS18) for auditing-related party transactions (RPTs). We measure audit quality using general restatements and RPT-related restatements. Using a sample of S&P 1500 firms from 2011 through 2018, we find that RPT firms are significantly less likely to report a general restatement compared with non-RPT firms after AS18. We also classify RPTs into business RPTs and nonbusiness RPTs based on the type of transactions and the transacting party. We find that business RPT firms are (1) less likely to have general restatements after AS18 relative to non-RPT firms and (2) less likely to have RPT-related restatements relative to nonbusiness RPT firms. AS18 does not have any effects on nonbusiness RPTs. Our results are driven by S&P MidCap 400 and S&P SmallCap 600 firms. Overall, our findings suggest that AS18 has enhanced the quality of business RPT auditing.

Data Availability: Data are available from the public sources cited in the text.

JEL Classifications: M41; M42.
Big Data Analytics and Management Forecasting Behavior
Authors: Goh Beng Wee , Li Na , Ranasinghe Tharindra
Published: August 2023

SYNOPSIS

This paper investigates whether the use of Big Data analytics by firms has a spillover effect on management forecasting behavior. Insights provided by Big Data could potentially improve firms’ ability to forecast earnings (supply channel) and investor demand for earnings information is likely higher for firms engaging in data analytics (demand channel). Using a text-based measure of firms’ commitments to and usage of Big Data analytics, we find that Big Data analytics usage is positively associated with the propensity to issue management earnings forecasts. Consistent with the “supply channel” explanation, we find that Big Data analytics usage is positively associated with management forecast accuracy as well. Also, supporting the “demand channel” explanation, we find that Big Data analytics usage is associated with greater analyst following. Our findings of improved disclosure following commitments to Big Data analytics highlight a potentially unintended benefit of the Big Data revolution.
Did FASB Interpretation Number 48 (FIN 48) Affect Noninnovative Corporate Investment?
Authors: Goldman Nathan C.
Published: August 2023

As firms lower innovative investment in response to FASB Interpretation Number 48 (FIN 48), they choose between reallocating those funds to noninnovative investment, not changing noninnovative investment, or lowering noninnovative investment. Using a difference-in-differences research design, I provide evidence of the latter outcome. I also show that the results persist each year following FIN 48, are consistent across both types of noninnovative investment, and are more prominent among firms with declining research and development (R&D) and among firms not previously under continuous audit. I also provide evidence that these effects are mitigated when managers have greater incentives to reallocate investment. My findings respond to Blouin and Robinson (2014) call to understand the real effects of FIN 48 by providing evidence that it lowers firms’ incentives for noninnovative investment.