bluuebunny/crossref_metadata_2025_split huggingface dataset:
YOLO Based Real Time Human Detection Using Deep Learning
Authors: Jaswanth Kumar Y M , Valarmathi P 
Published: April 2023

Abstract
Person identification which has been widely used in computer vision and one of the difficult applications employed in a variety of fields such autonomous vehicles, robots, security tracking, aiding visually impaired people, etc. As deep learning quickly developed, numerous algorithms strengthened the link between video analysis and visual comprehension. The goal of all these algorithms, regardless of how their network architectures operate, is to find many people inside a complicated image. The freedom of movement in an unknown environment is restricted by the absence of vision impairment, thus it is crucial to use modern technologies and teach them to assist blind people whenever necessary. We provide a system that will identify all potential daily multiple people and then prompt a voice to inform the user about both nearby and distant people.
Brain Disorders Identification by Machine Learning Classifiers
Authors: Venkataramanaiah B. , Sambath kumar K. , Giridhar Reddy K 
Published: April 2023

Abstract
Medical imaging like MRI and CT scan images are crucial for accurately diagnosing human brain disease. The traditional method for tumour analysis relies on the radiologist or physician visually inspecting the specimen, which can result in some incorrect classifications when a large number of MRI pictures need to be processed. An automated intelligent classification system is suggested that requires picture categorization in order to reduce human mistake rates. One of the illnesses that kills the majority of individuals worldwide is the brain tumour. If the tumour is accurately anticipated at an early stage, the likelihood that someone would survive can be increased. The human brain is studied using the magnetic resonance imaging (MRI) method to identify illnesses. In this project, Support Vector Machines (SVM)-based classification approaches are suggested and implemented to classify brain images; DWT will extract features from MRI images. The primary goal of this research is to provide a superior result, which is higher accuracy and reduced error rates for SVM-based MRI brain tumour prediction.
Risk-based versus storyline approaches for global warming impact assessment on basin-averaged extreme rainfall: a case study for Typhoon Hagibis in eastern Japan
Authors: Tanaka Tomohiro , Kawase Hiroaki , Imada Yukiko , Kawai Yuki , Watanabe Satoshi 
Published: April 2023

Abstract
Two methods exist to address the degree to which past extreme events and associated disasters will be intensified due to climate change: storyline approaches and risk-based approaches. However, the risk-based approach applied to weather similar to the target event (typhoons, a stationary weather front,…etc) becomes theoretically similar to the storyline approach. We examine this theory for the climate change impact of a real event, Typhoon Hagibis, which caused devastating flood damage to eastern Japan in 2019, while focusing on basin-averaged accumulated rainfall (BAAR) in major eastern river basins. A risk-based approach was conducted to determine the future change of BAAR by calculating the quantile change corresponding to Hagibis from the probability distribution of typhoon-induced events in a large ensemble climate simulation dataset database for Policy Decision-making for Future climate change (past, +2K and +4K future climates). A storyline approach for Typhoon Hagibis was realized using a pseudo global warming (PGW) experiment with a 5 km non-hydrostatic model. The projected BAAR in the two approaches were consistent for all target basins, supporting the robustness of the calculated changes in extreme catchment precipitation. This presents an important practical benefit: one can assess future climate change impact on a past symbolic event using either PGW experiments or large ensemble climate projections for the target weather.
Cropland and rooftops: the global undertapped potential for solar photovoltaics
Authors: Yeligeti Madhura , Hu Wenxuan , Scholz Yvonne , Stegen Ronald , von Krbek Kai 
Published: April 2023

Abstract
The utilization of cropland and rooftops for solar photovoltaics (PVs) installation holds significant potential for enhancing global renewable energy capacity with the advantage of dual land-use. This study focuses on estimating the global area suitable for agrivoltaics (PV over crops) and rooftop PVs by employing open-access data, existing literature and simple numerical methods in a high spatial resolution of 10 km × 10 km. For agrivoltaics, the suitability is assessed with a systematic literature review on crop-dependent feasibility and profitability, especially for 18 major crops of the world. For rooftop PV, a non-linear curve-fitting method is developed, using the urban land cover to calculate the PV-suitable built-up areas. This method is then verified by comparing the results with open-access building footprints. The spatially resolved suitability assessment unveils 4.64 million km2 of global PV-usable cropland corresponding to a geographic potential of about 217 Terawatts (TW) in an optimistic scenario and 0.21 million km2 of rooftop-PV suitable area accounting for about 30.5 TW maximum installable power capacity. The estimated suitable area offers a vast playground for energy system analysts to undertake techno-economic assessments, and for technology modellers and policy makers to promote PV implementation globally with the vision of net-zero emissions in the future.
Oxygen nanobubble water affects wound healing of fibroblast WI-38 cells
Authors: Sofyana Neng Tanty , Refli Redoyan , Takahashi Masayoshi , Sakamoto Kazuichi 
Published: April 2023

ABSTRACT
This study investigated the usefulness of oxygen nanobubble water (O2NBW) for wound repair by analyzing its effect on the wound-healing process in human lung fibroblasts (WI-38 cells). The WI-38 cells were treated with 0%, 50%, and 100% O2NBW. The cell viability, reactive oxygen species (ROS) production, and wound healing following treatment were determined to elucidate the effects of O2NBW. Our findings revealed that O2NBW had no cytotoxic effects on WI-38 cells, but instead increased cell numbers. The production of ROS was inhibited in the presence of O2NBW. Further, O2NBW induced migration and wound closure in WI-38 cells. In addition, the mRNA expression levels of antioxidant enzymes and wound-healing-related genes were evaluated. The results demonstrated that O2NBW enhanced the expression levels of all representative genes. In conclusion, our findings suggest that O2NBW could affect ROS production and wound healing in WI-38 cells and genes associated with the antioxidant system and wound healing.
ULDC: Unsupervised Learning-Based Data Cleaning for Malicious Traffic With High Noise
Authors: Yuan Qingjun , Zhu Yuefei , Xiong Gang , Wang Yongjuan , Yu Wentao , Lu Bin , Gou Gaopeng 
Published: April 2023

Abstract
Since the traffic of novel attacks exceeds current knowledge, realistic traffic labeling methods are prone to mislabeling, which has a significant impact on machine learning-based intrusion detection systems. Data cleaning typically relies on the ability of supervised deep neural networks to learn correct knowledge. Under high noise conditions, noisy labels can affect a supervised network and render it ineffective. To clean traffic datasets under high noise conditions, we propose an unsupervised learning-based data cleaning framework (called ULDC) that does not rely on labels and powerful supervised networks, hence reducing the impact of noisy labels. ULDC evaluates the confidence of observed labels through the distribution and similarity of samples in low dimensions. Moreover, ULDC maximizes the retention of hard samples through adaptive intra-class threshold evaluation, preserving more hard samples for training and improving generalization. In evaluations of ULDC on the CIRA-CIC-DoHBrw-2020 dataset, the percentage of data correction reached more than 75% under high noise, which is better than that of the state-of-the-art methods. ULDC is applicable to traffic data cleaning in both traditional networks and novel networks such as the Internet of Things and mobile networks, and it has been validated on datasets including CIC-IDS-2017 and IoT-23.
NbThermo: a new thermostability database for nanobodies
Authors: Valdés-Tresanco Mario S , Valdés-Tresanco Mario E , Molina-Abad Esteban , Moreno Ernesto 
Published: April 2023

AbstractWe present NbThermo—a first-in-class database that collects melting temperatures (Tm), amino acid sequences and several other categories of useful data for hundreds of nanobodies (Nbs), compiled from an extensive literature search. This so-far unique database currently contains up-to-date, manually curated data for 564 Nbs. It represents a contribution to efforts aimed at developing new algorithms for reliable Tm prediction to assist Nb engineering for a wide range of applications of these unique biomolecules. Nbs from the two most common source organisms—llama and camel—show similar distributions of melting temperatures. A first exploratory research that takes advantage of this large data collection evidences that understanding the structural bases of Nb thermostability is a complex task, since there are no apparent differences in sequence patterns between the frameworks of Nbs with lower and higher melting temperatures, indicating that the highly variable loops play a relevant role in defining Nb thermostability.Database URL https://valdes-tresanco-ms.github.io/NbThermo
Herbivore induced fruit volatiles guide the solitary tephritid endoparasitoid Diachasmimorpha longicaudata (Hymenoptera: Braconidae) in selecting an oviposition substrate
Authors: Pagadala Damodaram Kamala Jayanthi , Parepely Saravan Kumar , Thimmappa Raghava , Vyas Meenal 
Published: April 2023

Abstract
Oviposition in a generalist parasitoid is a complex process that involves interactions among its host, host plant, and spatiotemporal environment. Our study was aimed at exploring the ability of a generalist parasitic wasp, Diachasmimorpha longicaudata (Ashmead) (Hymenoptera: Braconidae), in perceiving odor cues from its host insect [Oriental fruit fly Bactrocera dorsalis (Hendel, Diptera: Tephritidae)] in infested mango fruits. A series of experiments involving behavioral and electrophysiological studies suggest that D. longicaudata is able to distinguish host infested fruit volatiles from uninfested. Additionally, we found that D. longicaudata can distinguish between high and low-level infestations using specific cues emanating from fruits. Coupled gas chromatography-electroantennographic detection (GC-EAD) and gas chromatography-mass spectrometry (GC-MS) analysis of infested mango fruit head space volatiles identified compounds such as ethyl butanoate, ethyl 3-hydroxybutyrate, β-myrcene, trans-β-ocimene, allo-ocimene, ethyl octanoate, ethyl-α-toulate, β-elemene, β-caryophyllene, humulene, caryophyllene oxide, ethyl dodecanoate, ethyl hexadecanoate, 2-furancarboxylic acid, 3-hydroxy-2-methyl-4-pyrone, and phenethyl alcohol emanated from three different host treatments with different levels of larval infestation which elicited antennal responses in D. longicaudata. We suggest that these cues might play a significant role in attracting D. longicaudata in the field.
Oxidative and genotoxic effect of piperazine on Galleria mellonella (Lepidoptera: Pyralidae) hemolymph
Authors: Alkan Çağrı , Çelik Cihat , Büyükgüzel Kemal , Büyükgüzel Ender 
Published: April 2023

Abstract
Recently, there are many studies suggesting antibacterial, antifungal, and anthelmintic agents as alternative chemicals to insecticides. In this study, the oxidative and genotoxic effect of Piperazine, a clinically important hexahydropyrazine anthelmintic, on Galleria mellonella L. hemolymph tissue by adding artificial diet were investigated. Galleria mellonella larvae were reared until 7th larval stage in artificial diet containing 0.001, 0.01, 0.1, and 1 g piperazine per 100 g of diet. Using hemolymph collected from 7th-instar larvae, the amount of lipid peroxidation final product malondialdehyde (MDA), protein oxidation product protein carbonyl (PCO), and detoxification enzymes glutathione S-transferase (GST) and cytochrome P450 monooxygenase (cyt P450) activity, comet assay were measured. According to the results obtained, when the piperazine high concentrations tested with the control group were compared, statistically significant differences were found in MDA, PCO content, cyt P450, GST activity, and comet assay in the hemolymph of the insect. While MDA content was 0.01 ± 0.0021 nmol/mg protein in the control group, this amount increased approximately 2-fold at the highest concentration (0.0231 ± 0.0050 nmol/mg protein). On the other hand, when the control group and the highest piperazine concentration were compared in the GST and cyt P450 activity, it was determined that there was a statistically significant increase. We obtained similar results in comet assay and micronucleus formation data. This study showed that the tested piperazine concentrations caused significant changes in the detoxification capacity, oxidative stress, and genotoxic markers in the insect’s hemolymph tissue.
A handsewn pericardial valved pulmonary conduit: pulsatile flow loop in vitro and acute porcine in vivo evaluation
Authors: Carlson Hanse Lisa , Tjørnild Marcell Juan , Karunanithi Zarmiga , Jedrzejczyk Johannes Høgfeldt , Islamagič Lejla , Hummelshøj Nynne Emilie , Enevoldsen Malene , Johansen Peter , Lauridsen Mette Høj , Hjortdal Vibeke Elisabeth 
Published: April 2023

Abstract

OBJECTIVES
Right ventricle to pulmonary artery anatomic discontinuity is common in complex congenital heart malformations. Handsewn conduits are a practised method of repair. In a proof-of-concept study, we evaluated pulmonary valve replacement with a handsewn pericardial valved pulmonary conduit in vitro and in vivo.

METHODS
A pulsatile flow-loop model (in vitro) and an acute 60-kg porcine model (in vivo) were used. With echocardiography and pressure catheters, baseline geometry and fluid dynamics were measured. The pulmonary valve was replaced with a handsewn glutaraldehyde-treated pericardial valved pulmonary conduit corresponding to a 21-mm prosthetic valve, after which geometric measurements and fluid dynamics were reassessed.

RESULTS
In vitro, 15 pulmonary trunks at 4 l/min and 13 trunks at 7 l/min, and in vivo, 11 animals were investigated. The valved pulmonary conduit was straightforward to produce at the operating table and easy to suture in place. All valves were clinically sufficient in vitro and in vivo. The mean transvalvular pressure gradient in the native valve and the conduit was 8 mmHg [standard deviation (SD): 2] and 7 mmHg (SD: 2) at 4 l/min in vitro, 19 mmHg (SD: 3) and 17 mmHg (SD: 4) at 7 l/min in vitro and 3 mmHg (SD: 2) and 6 mmHg (SD: 3) in vivo.

CONCLUSIONS
Our proof-of-concept demonstrates no early evidence of structural damage to the conduit, and the fluid dynamic data were acceptable. The handsewn conduit can be produced at the operating table.
Decolonizing ELT methods through critical thematic units
Authors: López-Gopar Mario E , Sughrua William M 
Published: April 2023

Abstract
The purpose of this paper is to resist the ‘colonial’ status of ELT by discussing our attempts to decolonize ELT methods through critical thematic units (CTUs), co-developed and applied by Mexican student-teachers working with children in Oaxaca, Mexico. Understanding that epistemologies (knowledge) and in consequence language methods are provincial, historically situated, and embodied in children’s ontologies and material lives, our CTUs start by questioning ‘why’ English should be brought into children’s lives and then continue by analysing ‘what’ social purposes ELT could accomplish with children, with a focus on important themes in their lives (e.g. water shortage, nutrition, and health). With these CTUs, which adopt a heteroglossic and multimodal view of language, teachers and children coauthor multimodal and multilingual identity texts serving as pedagogic and assessment spaces where language is both learned and used to negotiate affirming identities for both teachers and children. To exemplify these decolonizing attempts, the present article walks the readers through the components and implementation of one CTU focused on ‘eating habits in connection to health issues’, carried out by two student-teachers. The article will thus articulate how our CTUs are different from what are considered ‘methods’ in ELT, as they are epistemologically and socially situated.
Impacts of the Small-Tract Forestland Tax Program on Forestland Use in Oregon
Authors: Rossi David , Rushakoff Ben , Kuusela Olli-Pekka 
Published: April 2023

AbstractPreferential tax programs for forest landowners are used to achieve land use–related environmental and social objectives. Nonindustrial landowners are likely to own forests near development boundaries, which may lead to a higher likelihood of land conversion from forests to alternative uses. This article answers the question of how preferential tax programs for small-tract forestland (STF) owners have influenced the conversion of forested lands in Oregon since 2005. We find that a 10% increase in STF program participation within a county (as measured by acreage enrolled) can lead to a conversion of 127 ac from wildland forest to mixed forest/agriculture since the prior forest inventory period. Compared with the default “Forestland” tax program, participation in the alternative STF tax program has had a smaller and statistically weaker effect on the number of acres converted to low-density residential use. However, hypothetical elimination of the STF tax program would increase enrollment in the default Forestland tax program, which was measured to have a greater effect on the conversion of wildland forest to low-density residential land. Hence, the results overall provide evidence that the STF program has achieved its objective of mitigating development pressures and reducing conversion of forestland to nonforest uses.
Enabling the Right to Liberty of the Person in Aged Care Homes
Authors: Kesby Alison 
Published: April 2023

Abstract
This article examines the enjoyment of the right to liberty of residents of aged care homes, with a particular focus on those living with cognitive disability (most notably, dementia), and the tension between upholding a person’s autonomy and protecting them and others from harm. The analysis approaches this potential tension from two perspectives: firstly, by examining and evaluating different legal conceptions of the right to liberty of the person, and secondly, by examining the conditions and related rights, which enable the enjoyment of the right to liberty by aged care residents living with cognitive disability, including the right to autonomy and the right to long-term quality care. It is argued that a relational approach to autonomy is required, which places the enjoyment of the right to liberty within the broader context of an autonomy-enabling environment. Interrogating what we mean by ‘autonomy’ and ‘care’ may facilitate the enjoyment of the right to liberty for those most vulnerable in residential care.
A Review of Three Recent Dictionaries of Indigenous Languages Spoken in South America
Authors: Turin Mark , Zamudio Ana Laura Arrieta 
Published: April 2023

Abstract
In this review essay, we compare three recent dictionaries of Indigenous languages spoken in South America. The review covers two print dictionaries—one of which is trilingual (Quechua, Spanish and English) and the other the second edition of a bilingual Q’eqchi’-English dictionary—and a bilingual, digital dictionary hosted online (Wichí-Spanish). The structure of this review essay is as follows: first, we offer a brief introduction to each of the languages covered in the dictionaries. Following the introduction, we offer sections in which we compare the orthographic choices made by the compilers, entry design and ordering within the publications. We also address the overarching structure of each dictionary, questions of language production and reception, as well as editorial decisions relating to the incorporation of neologisms. In addition, we include an analysis of the intended audience and accessibility of each dictionary, supplemented by a reflection about ownership and control of language data, community investment and how these resources address dialectal variation within the language, if indeed any exists.
Appropriateness of lumbar spine radiography and factors influencing imaging ordering patterns: paving the path toward value-driven health care
Authors: Tay Yi Xiang , Chan Ling Ling , Than Shin Ru , Lim Gek Hsiang , Tan Mark Bangwei , Mak May San , Hou Wenlu , Wee Jeremy Choon Peng , Ng Yeong Huei , Chen Robert Chun 
Published: April 2023

Abstract
The demand for diagnostic imaging continues to rise. Against the backdrop of rising health care costs and finite resources, this has prompted a paradigm shift toward value-driven patient care. Inappropriate imaging is a barrier toward achieving this goal, which runs counter to prevailing evidence-based guidelines and contributes to rising healthcare costs. Our objective was to evaluate the appropriateness of lumbar spine X-rays in a tertiary referral Emergency Department (ED) and assess whether physicians’ specialization and years of experience influence appropriateness. A total of 1030 lumbar spine radiographs performed in the ED of an academic medical center over a consecutive 3-month period were reviewed retrospectively. Referral indications were reviewed for adherence to 2021 American College of Radiology appropriateness guidelines for lower back pain, and referral patterns were evaluated among physician groups based on specialists’ training and years in practice. 63.8% of lumbar spine radiographs were appropriate, with trauma being the most common indication. 36.2% of orders were inappropriate, with lower back pain of &lt;6 weeks duration being the most common indication. Significant differences in inappropriate orders were found (P &lt; .001) across physician groups: qualified Emergency Medicine specialists (20.9% inappropriate orders), specialists in training (27.8%), and non-specialists with ≥3 (60.0%) and &lt;3 (36.9%) years in practice, respectively. Approximately one-third of lumbar spine radiographs performed in the ED were inappropriately ordered by American College of Radiology guidelines; specialists training and years in practice affected referral patterns. Integrating evidence-based appropriateness guidelines into the physician order workflow and targeting older non-specialists may promote more judicious imaging and reduce health care costs.