bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Compact Coplanar Waveguide-fed Ultra-WidebandTextile Antenna for Wireless Body Area Network application
Authors: Rajkumar R , Phani Kumar K V , SatheeshKumar M , Sadeesh R , Srikanth T S 
Published: October 2023

Abstract
A compact CPW fed textile antenna is proposed for wireless body area network (WBAN) applications. It consists of rectangular shaped radiating patch with a stair case and ground plane and these two parameters have more impact on impedance bandwidth. The antenna is designed using the jean fabric material with size of 21 × 16 ×1 mm3and fabricated. The antenna has covered the desired UWB 3.1 - 10.6 GHz effectively. In addition, it has better radiation characteristics in both E-plane and H-plane. Antenna parametric study is done for various antenna parameters. It can be used for telemedicine and military applications.
Time Series Models for Radiated Electromagnetic Energy of Lightning Strokes Detected by World Wide Lightning Location Network
Authors: Rafi Mehdi Hasan , Mostafa Golam 
Published: October 2023

Abstract
Lightning is a significant atmospheric event and has a wide-ranging influence on the Earth’s climate. Recently a sensor station of World Wide Lightning Location Network (WWLLN) is hosted at Dhaka (23.81°N, 90.41°E) and one year (Jan 2021 to Dec 2021) lightning strokes energy data is investigated. In an effort to switch the analysis from descriptive to predictive, WWLLN lightning strokes energy data is modeled using time series analysis. The autoregressive integrated moving average (ARIMA) model has been applied to predict the data. According to the process of model selection, the auto-correlation function (ACF) and partial auto-correlation function (PACF) are examined to determine the auto-regressive (AR) and moving-average (MA) terms. Standard diagnostic tests are performed to ensure the goodness of fit of the chosen model. After necessary diagnostic tests, ARIMA (3,1,0)×(2,1,0)12 is selected as the best fitted model.
Iot Based Smart Rider Safety System
Authors: Inthiyaz Syed , Rajesh V. , Prakash N. Nanda , Narendra G. S. V. , Rao M. Sri Raghavendra , Anil Y. R. V. 
Published: October 2023

Abstract
In this century there are more vehicle collisions are taking place and many humans are dying in these collisions or getting badly injuries in these collisions because of lack lo carrying of helmet on their heads. So many can survive the vehicle collisions by having the right safety system or helmet with them. The people in the society are neglecting the rules which causes the accidents. The concept that we are proposing will help to reduce the vehicle collisions comparing to the previous year’s statistics which helps to reduce the vehicle collision rate drastically than compared to last year’s survey and helps the riders for having more safer rides than the normal ones. The project consists of circuit that helps in a way that vehicle is not going to start until the rider wears the safety system on his head, after wearing the safety system the RF waves are sent then they are detected by the receiver on the kindling then the rider’s vehicle is on. This rider safety system helps the users to ensure more safety and helps in minimizing the vehicle collisions on roads and provides enhanced safety to the public.
Patrolling Car for Toxic Gas Detection
Authors: Inthiyaz Syed , Rajesh V , Prakash N Nanda , Prasad K Hari , Babu M Rajesh , Dhiraj V 
Published: October 2023

Abstract
The use of a patrol car equipped with a toxic gas detection system is crucial today because, in the occurrence that a gas leak occurs in an area that is difficult for people to access or enter, such as a mine or an industrial facility, we can lessen the risk to those who work there by using the system. The car’s small size also makes it mobile, allowing us to determine where the leak is happening and to take other preventative measures. We use ESP32 to control all of the sensor modules, and we can manage the car using a mobile device over Wi-Fi. Because Telegram is open source, we can view the data using it. Using this method may be entertaining, but in the event of an emergency, it may consume a lot of resources. Using the Telegram bot, we can view and preserve the data in our monitoring system. In our research, ultrasonic sensors are primarily used to detect items and alter routes in order to arrive at their intended locations.
Neural Network based wind energy model developed over Anantapur, Andhra Pradesh, India
Authors: Chowdary S. Nihaal , Satyanarayana G. Ch. , Raju A. Dharma , Kiran A.V.S.S. , Sambasivarao V. 
Published: October 2023

Abstract
Wind energy is a prominent renewable energy alternative to the conventional non-renewable energy source with a minimal environmental impact. Even though the fact that wind farms have grown in popularity, each one faces a unique set of challenges. Many sophisticated and new approaches are deployed for forecasting wind power genesis and wind power potential to pinpoint the low wind speed hours and schedule a time for turbine maintenance. This paper connotes wind power forecasting over a region using Artificial Neural Network (ANN) & Recurrent Neural Network (RNN) algorithms to address industry problems. In addition, various case studies were carried out with Meteorological variables includes Pressure, soil moisture, temperature, solar radiation, eastward wind (u10), northward wind (v10), and wind speed to assess the effectiveness of various models, and the best model with the highest degree of accuracy is recommended. This study deals with predicting the hourly wind speed at Anantapur, which is essential knowledge for the subsequent estimate of Wind Power Density (WPD). Short-range with statistical metrics of tiny Mean Absolute Error (MAE), low Root Mean Square Error (RMSE), and high Index Of Agreement (IOA) proving the predictability of the wind speed evolution, predictions made with ANN and RNN models at a lead time of 24 hours have been confirmed to be accurate. This study gives wind speed and wind electricity ability predictions that are useful for enterprises, government agencies, and industry in relation to wind harnessing.
Smart Waste Management: Waste Segregation using Machine Learning
Authors: Rajakumaran Gayathri , Usharani Shola , Vincent Christie , Sujatha M 
Published: October 2023

Abstract
In the digitized era, the role of smart mechanisms plays a vital role and one among them is the segregation of waste. To make use of proper disposal and waste management techniques, the segregation of wastes is essential. In the existing systems, drones are used for identifying waste using image processing, and deep learning and use GPS, and GSM methods to identify and send locations to the authorities. The enhancement achieved is to analyze and implement waste segregation with the help of image classification and multi-object detection. Waste management may therefore be done more efficiently with an accuracy of 95% with a mean average of 87.4% which in turn helps significantly to reduce labor costs.
Analytical Study on Conformal M-Shaped Monopole Antenna with Metamaterial Loading
Authors: Lanka Madhavi Devi , Chalasani Subbarao 
Published: October 2023

Abstract
Split ring-based metamaterial loaded monopole antenna is designed for commercial wireless communication applications and analyzed its conformal nature with respect to host surface. Analytical study has been performed to record the antenna performance characteristics like reflection coefficient, surface current distribution, radiation characteristics and radiation efficiency. The size of the antenna is 37 X 26 X 1.6 mm on polyimide dielectric material of permittivity 2.6 and thickness 0.2 mm. Chemical etching-based prototyping has been done in fabrication process and SMA connector with impedance of 50 ohm is connected for measurement analysis of the antenna parameters. The conformal nature of the designed antenna has been analyzed at different bending angles by placing the antenna on form material and found excellent matching in simulation as well as in real time measurement.
Market share of Indonesian mangosteen in China market
Authors: Situmorang P S I , Ayu S F , Lindawati  
Published: October 2023

Abstract
The agricultural sector is the leading sector in the Indonesian economy. Mangosteen (Garcinia mangostana L) or commonly called the “queen of fruits” is one of Indonesia’s mainstay exotic fruits. Since the 1970s until now, demand for exports has continued to increase, so that it can be said that the mangosteen fruit is the prima donna of Indonesia’s mainstay exports. One of the biggest export destination countries for Indonesian mangosteen is China. Mangosteen producing countries besides Indonesia, there are Thailand and Malaysia as mangosteen producing countries which export to China. This study aims to examine and analyze the market share of mangosteens from Indonesia, Thailand and Malaysia and to see the competitiveness of Indonesian mangosteens in the Chinese market. Market share is an indicator in reviewing the marketing performance of mangosteen fruit products. This market share is usually expressed as a percentage (%), which is used to determine the percentage of potential market for increased Indonesian mangosteen production. In addition, there are import volumes, import prices, and the total import value of mangosteen in the Chinese market in view of competitiveness between countries. This research was conducted using secondary data from 2011-2020.
The effect of sungkai leaf water extract addition to aloe vera gel edible coating on quality and shelf life of strawberries (Fragaria sp.)
Authors: Refilda  , Tanjung M F , Yefrida  
Published: October 2023

Abstract
Strawberries are the most consumed fruits by people in the world. This fruit has a delicious taste and high nutritional content. But the shelf life is very short. The purpose of this study was to find method to extend the shelf life of postharvest strawberries. Edible coating from aloe vera gel and varying concentration of sungkai leaf water extract (0%, 30%, 50%, 70% and 90%) was prepared and applied to strawberries. Coated strawberries were evaluated in the days 0 to 8 for fruit weight loss, percent spoilage, total soluble solids and total antioxidant. The best results were obtained on the composition of aloe vera gel with 50% water extract of sungkai leaves. Strawberries coated with this material could be stored for 6 days longer than uncoated strawberries for 2 days with a decrease in fruit weight of 10.6%, percent spoilage 11.1%, total dissolved solids value 7.47° Brix, and total antioxidants 0.28 mg AA/g FW. In conclution the sungkai leaf water extract can increase the shelf life of post-harvest strawberries.
The relevancy-analysis of air quality index to Acute Respiratory Infection (ARI) in A landfill site of Medan
Authors: Intan T K , Munir D , Soeroso N N , Ichwan M , Khair H , Suryati I 
Published: October 2023

Abstract
The existence of open dumping in Medan City’s final waste processing since 1993 has certainly had a negative impact in the form of a decrease in air quality which has a further impact on public health problems. This study aims to analyse and maps the distribution of PM10 and PM2.5 concentrations in the Terjun Landfill and to examine the relationship between the air quality index and the prevalence of acute respiratory infection (ARI) in the nearby landfill site. The sampling method for this research uses the manual active and is mapped using the GIS application. The results of ambient air concentrations were converted into an air quality index which subsequently was tested in a statistical correlative method to investigate the prevalence of ARI. The results demonstrated the PM2.5 concentrations ranged from 38.94 – 163.1 µ/m3, the PM10 was between 46.84 – 184.2 µ/m3; indicating an excessive level of national ambient threshold. The distribution of the highest PM2.5 and PM10 is in the active zone of the landfill. The prevalence of ARI in the nearby landfill site showed a strong relationship; 0.86 for PM2.5 and 0.62 for PM10. These findings illustrate a poor-quality air would increase the number of inhabitants with ARI.
Modeling interdisciplinary interactions among physics, mathematics and computer science
Authors: Hazra Rima , Singh Mayank , Goyal Pawan , Adhikari Bibhas , Mukherjee Animesh 
Published: October 2023

Abstract
Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research. In this paper we attempt to model the citation flow across three different fields—physics (PHY), mathematics (MA) and computer science (CS). For instance, is there a specific pattern in which these fields cite one another? We carry out experiments on a dataset comprising more than 1.2 million articles taken from these three fields. We quantify the citation interactions among these three fields through temporal bucket signatures. We present numerical models based on variants of the recently proposed relay-linking framework to explain the citation dynamics across the three disciplines. These models make a modest attempt to unfold the underlying principles of how citation links could have been formed across the three fields over time.
Implementing the ICAO Language Proficiency Requirements: The Localization of Aviation English Testing
Authors: Yin Yan , Yu Guoxing , Huang Dayong 
Published: October 2023

Abstract
There are still language-related safety issues in international aeronautical radiotelephony communications. This article revisits the International Civil Aviation Organization (ICAO) language policy, a set of language proficiency requirements mainly reflected in the ICAO Rating Scale (Pronunciation, Structure, Vocabulary, Fluency, Comprehension, and Interaction). Although the ICAO Rating Scale has been used globally to assess professional aviation speakers’ communicative language proficiency for two decades now, it remains unclear what role the six ICAO criteria have played in high-stakes aviation English tests. We thus conducted an independent study based on secondary data analysis. We applied the Winsteps Rasch Rating Scale Model to 358 Chinese pilots’ test scores on an aviation English test in China. The results suggest that the six criteria carried considerably different relative values in contribution to test outcomes and that Interaction was different from the other five criteria. This exploratory study provides an example of how the ICAO assessment criteria were used in a locally developed aviation English test; its findings can have implications for supporting and implementing a language policy for global harmonization.
Direct screening for effective shRNA with a single mismatch in human cells without laborious cloning
Authors: Tachibana Mayu , Ehara Nazumi , Tanikawa Shunya , Tachibana Akira 
Published: October 2023

ABSTRACT
We have devised a method for the direct screening of efficient short hairpin (sh)RNA molecules in human cells, eliminating the need for the time-consuming process of cloning in Escherichia coli. Our screening suggested that single mismatches to shRNAs can significantly alter their activity.
PhyloMatcher: a tool for resolving conflicts in taxonomic nomenclature
Authors: Rader Jonathan A , Pivovarnik Madelyn A , Vantilburg Matias E , Whitehouse Logan S 
Published: October 2023

Abstract

Summary
Large-scale comparative studies rely on the application of both phylogenetic trees and phenotypic data, both of which come from a variety of sources, but due to the changing nature of phylogenetic classification over time, many taxon names in comparative datasets do not match the nomenclature in phylogenetic trees. Manual curation of taxonomic synonyms in large comparative datasets can be daunting. To address this issue, we introduce PhyloMatcher, a tool which allows for programmatic querying of the National Center for Biotechnology Information Taxonomy and Global Biodiversity Information Facility databases to find associated synonyms with given target species names.

Availability and implementation
PhyloMatcher is easily installed as a Python package with pip, or as a standalone GUI application. PhyloMatcher source code and documentation are freely available at https://github.com/Lswhiteh/PhyloMatcher, the GUI application can be downloaded from the Releases page.
SHIP: identifying antimicrobial resistance gene transfer between plasmids
Authors: Teixeira Marco , Pillay Stephanie , Urhan Aysun , Abeel Thomas 
Published: October 2023

AbstractMotivationPlasmids are carriers for antimicrobial resistance (AMR) genes and can exchange genetic material with other structures, contributing to the spread of AMR. There is no reliable approach to identify the transfer of AMR genes across plasmids. This is mainly due to the absence of a method to assess the phylogenetic distance of plasmids, as they show large DNA sequence variability. Identifying and quantifying such transfer can provide novel insight into the role of small mobile elements and resistant plasmid regions in the spread of AMR.ResultsWe developed SHIP, a novel method to quantify plasmid similarity based on the dynamics of plasmid evolution. This allowed us to find conserved fragments containing AMR genes in structurally different and phylogenetically distant plasmids, which is evidence for lateral transfer. Our results show that regions carrying AMR genes are highly mobilizable between plasmids through transposons, integrons, and recombination events, and contribute to the spread of AMR. Identified transferred fragments include a multi-resistant complex class 1 integron in Escherichia coli and Klebsiella pneumoniae, and a region encoding tetracycline resistance transferred through recombination in Enterococcus faecalis.Availability and implementationThe code developed in this work is available at https://github.com/AbeelLab/plasmidHGT.
SBILib: a handle for protein modeling and engineering
Authors: Gohl Patrick , Bonet Jaume , Fornes Oriol , Planas-Iglesias Joan , Fernandez-Fuentes Narcís , Oliva Baldo 
Published: October 2023

Abstract

Summary
The SBILib Python library provides an integrated platform for the analysis of macromolecular structures and interactions. It combines simple 3D file parsing and workup methods with more advanced analytical tools. SBILib includes modules for macromolecular interactions, loops, super-secondary structures, and biological sequences, as well as wrappers for external tools with which to integrate their results and facilitate the comparative analysis of protein structures and their complexes. The library can handle macromolecular complexes formed by proteins and/or nucleic acid molecules (i.e. DNA and RNA). It is uniquely capable of parsing and calculating protein super-secondary structure and loop geometry. We have compiled a list of example scenarios which SBILib may be applied to and provided access to these within the library.

Availability and implementation
SBILib is made available on Github at https://github.com/structuralbioinformatics/SBILib.
simpleaf: a simple, flexible, and scalable framework for single-cell data processing using alevin-fry
Authors: He Dongze , Patro Rob 
Published: October 2023

Abstract

Summary
The alevin-fry ecosystem provides a robust and growing suite of programs for single-cell data processing. However, as new single-cell technologies are introduced, as the community continues to adjust best practices for data processing, and as the alevin-fry ecosystem itself expands and grows, it is becoming increasingly important to manage the complexity of alevin-fry’s single-cell preprocessing workflows while retaining the performance and flexibility that make these tools enticing. We introduce simpleaf, a program that simplifies the processing of single-cell data using tools from the alevin-fry ecosystem, and adds new functionality and capabilities, while retaining the flexibility and performance of the underlying tools.

Availability and implementation
Simpleaf is written in Rust and released under a BSD 3-Clause license. It is freely available from its GitHub repository https://github.com/COMBINE-lab/simpleaf, and via bioconda. Documentation for simpleaf is available at https://simpleaf.readthedocs.io/en/latest/ and tutorials for simpleaf that have been developed can be accessed at https://combine-lab.github.io/alevin-fry-tutorials.
The effects of heat stress on intrauterine development, reproductive function, and ovarian gene expression of F1 female mice as well as gene expression of F2 embryos
Authors: Silva José R , Souza-Fabjan Joanna M G , Bento Tays F M , Silva Robson Campos , Moura Cristiane R F , Bartlewski Pawel M , Batista Ribrio I T P 
Published: October 2023

Abstract
Exposure to heat stress (HS) in utero was postulated to trigger an adaptive molecular response that can be transmitted to the next generation. Hence, this study assessed the impact of HS exposure at different stages of the gestational period of mice on the female F1 population and their offspring. Heat stress exposure (41°C and 65% relative humidity—RH) occurred during the first half (FP), the second half (SP), or the entire pregnancy (TP). A control group (C) was maintained in normothermic conditions (25°C, 45% RH) throughout the experiment. Heat stress had a significant negative effect on intrauterine development, mainly when HS exposure occurred in the first half of pregnancy (FP and TP groups). Postnatal growth of FP and TP mice was hindered until 4 weeks of age. The total number of follicles per ovary did not vary (P &gt; 0.05) between the control and HS-exposed groups. Mean numbers of primordial follicles were lower (P &lt; 0.05) in the sexually mature FP than those in SP and TP F1 females. However, the mean number of viable embryos after superovulation was lower (P &lt; 0.05) in TP compared with C group. The expression of genes associated with physiological and cellular response to HS, autophagy, and apoptosis was significantly affected in the ovarian tissue of F1 females and F2 in vivo-derived blastocysts in all HS-exposed groups. In conclusion, exposure to HS during pregnancy compromised somatic development and reproductive parameters as well as altered gene expression profile that was then transmitted to the next generation of mice.
The Place of Knowledge in Constructing Social Work Identity: Validating Vagueness
Authors: Daly Maura , McCulloch Trish , Smith Mark 
Published: October 2023

Abstract
Social work, globally, has struggled persistently to justify itself as an academic or professional discipline. Its terrain is not the academic high ground, where principles and concomitant courses of action seem clear, but the domain of practice, where knowledge and actions are plural, ambiguous, situated and contested. A consequence of the diffuse nature of social work knowledge and practice is that workers can struggle to articulate what it is they do by comparison to other professions where knowledge can appear more bounded. In this article, we explore the impact of this on the profession’s identity. The article is structured into three main sections: the first sets out some of social work's struggles with knowledge. We then introduce data from a Scottish study on the challenges social workers face to account for what they do. In the final section, we consider what this insecurity about a coherent knowledge base might mean for workers’ professional identity.