bluuebunny/crossref_metadata_2025_split huggingface dataset:
Calibration of a spectrometer built at the Professional School of Physics - UNSA
Authors: Puma C F , Calla Y G , Solis J L , Postigo M , Leon-Salas W D , Avizcardo M 
Published: October 2024

Abstract
The present paper presents a methodology to calibrate a spectrometer. The methodology to calibrate the spectrometer was direct comparison using a calibrated spectrometer, a mercury lamp and two lasers, a red and a green one, and the solar spectrum measured by a calibrated spectrometer. As a result of the calibration, a methodology to correct the errors of the spectrometer was identified and the adjustment of the spectrometer was achieved successfully by reducing the errors in the position of the peaks to values of less than 2 nm and values of the intensity have been corrected to achieve errors of less than 11% compared with the measurements made by the calibrated spectrometer.
Rapid foresight: Information technologies in Physics lessons
Authors: Abdulayeva A B 
Published: October 2024

Abstract
This research, conducted as part of the curriculum in the discipline of Modern Learning Technologies, explores strategies for improving the training of future teachers in response to the dynamic educational landscape. The discipline is an integral component of the educational program designed for students aspiring to become educators. A total of 12 students participated in the study, engaging in a collaborative and iterative process to identify key areas for enhancement in teacher training. The rapid evolution of learning technologies necessitates a proactive approach in preparing future teachers for the challenges and opportunities in the educational landscape. In this study, students enrolled in the educational program for prospective teachers played an active role in the research process. The objective was to leverage the insights and perspectives of these students to identify areas for improvement in teacher training. Twelve students participating in the study were enrolled in the Modern Learning Technologies course. This cohort engaged in a rapid foresight approach, involving activities such as focus group discussions, brainstorming sessions, and collaborative workshops. The methodology aimed to gather diverse opinions on emerging trends in education and technology and to envision potential future scenarios. The findings of the study highlighted key trends in modern learning technologies, including advancements in educational technology, shifts in learning preferences, and evolving classroom dynamics. Students actively contributed to scenario-building exercises, providing valuable input into the skills and competencies they deemed essential for future teachers. The assessment of current teacher training programs revealed areas where adjustments and enhancements were deemed necessary. The active involvement of students in the research process proved to be instrumental in gaining firsthand insights into the needs and expectations of future educators. Collaborative workshops facilitated a co-creation of strategies for improving teacher training programs, ensuring that the enhancements were aligned with the dynamic nature of the educational environment. This research, conducted within the framework of the Modern Learning Technologies course, emphasizes the significance of involving students in the foresight process for enhancing teacher training. The collaborative and iterative nature of the approach ensures that the strategies developed are responsive to the evolving trends and needs in education. As the educational landscape continues to evolve, incorporating student perspectives into teacher training becomes imperative for fostering effective and adaptive educators.
Effect of bias voltage on high-temperature oxidation resistance and electrical properties of Mn–Co coating with metal interconnects for solid oxide fuel cell
Authors: Jin Yu , He Xiaodong , Liu Zijin , Yue Xiaoze , Zhang Guangan , Wang Shunhua , Shang Lunlin 
Published: October 2024

Abstract
This study investigated the effects of bias voltage on the microstructure, high-temperature oxidation resistance, electrical conductivity, element diffusion, and barrier of chromium poisoning cathode of Mn–Co coating on the surface of SOFCs metal interconnect SUS441 ferritic stainless steel. A series of Mn–Co coatings were prepared by magnetron sputtering technique at different bias voltages (−10, −50, −90 V) and oxidized at high temperatures for 175 h at 850 °C in an air environment. The results showed that the surface of each coating before oxidation exhibited a cauliflower-like morphology, with the crystallinity of the coating increasing with higher bias voltage. After high-temperature oxidation, especially the Mn–Co coatings prepared at −90 V bias, a dense and stable MnCo2O4 spinel structure was formed, which is crucial in inhibiting the growth of the Cr2O3 oxide layer. In addition, the coating also exhibits excellent electrical conductivity (Ea = 0.35 eV), good high-temperature oxidation resistance (1.182 mg cm−2), and a stronger ability to prevent the diffusion of Cr elements.
The Digital Fourth Amendment
Authors: Kerr Orin 
Published: October 2024

Abstract
When can the government read your email or monitor your web surfing? When can the police search your phone or copy your computer files? In the United States, the answers come from the Fourth Amendment to the Constitution and its ban on “unreasonable searches and seizures.”
The Digital Fourth Amendment: Privacy and Policing in Our Online World takes the reader inside the legal world of how courts are interpreting the Fourth Amendment in the digital age. Computers, smartphones, and the Internet have transformed criminal investigations, and even a routine crime is likely to lead to digital evidence. But courts are struggling to apply old Fourth Amendment concepts to the new digital world. Mechanically applying old rules from physical investigations doesn’t make sense, often leading to dramatic expansions of government power based only on coincidences of computer design.
Written by a prominent law professor whose scholarship has often been relied on by courts in the field, The Digital Fourth Amendment shows how judges must craft new rules for the new world of digital evidence. It explains the challenges courts confront as they translate old protections to a new technological world, bringing the reader up to date on the latest cases and rulings. Informed by legal history and the latest technology, this book gives courts a blueprint for legal change with clear rules for courts to adopt to restore our constitutional rights in the computer age.
The Physical Fourth Amendment
Authors: Kerr Orin 
Published: October 2024

Abstract
Today’s Fourth Amendment rules are designed to regulate the physical world. They originated in eighteenth-century disputes in England, such as Entick v. Carrington, which inspired the enactment of state constitutional protections against general warrants. In 1791, the U.S. Constitution added the Fourth Amendment, a ban on unreasonable searches and seizures. Understanding the Fourth Amendment requires understanding both the origins of the amendment and how the modern Supreme Court has interpreted its text. A “search” occurs when there is a physical invasion into private items and spaces or its modern technological equivalent, an inquiry captured by the reasonable-expectation-of-privacy test of Katz v. United States. A “seizure” occurs when the government meaningfully interferes with a possessory interest in property, such as by taking property away. A search or seizure is “unreasonable” either when no valid warrant was obtained or no exception to the warrant requirement applies. The Supreme Court’s applications of these tests attain an essential balance when applied to the traditional facts of physical investigations. Current law is mostly physical law, designed to regulate the physical facts of traditional investigations.
Buying Data
Authors: Kerr Orin 
Published: October 2024

Abstract
Should the Fourth Amendment limit efforts by governments to buy data? As the 2016 dispute between Apple and the Federal Bureau of Investigation showed, the free market can sometimes answer government demands for access to data. Governments may want to purchase records on the free market instead of getting warrants to compel their disclosure. And such a market today exists, offering records such as automated license plate reader (ALPR) data and app location records. Under current law, the Fourth Amendment does not apply. The Fourth Amendment allows data brokers to sell data to the government and allows governments to buy the data without constitutional oversight. The question is whether that should change: is an equilibrium-adjustment needed to preserve the Fourth Amendment’s role in an environment of data purchases? Although someday such an adjustment may be needed, the answer today is “no.” The law may want to limit government purchases of data, but buying data is not a Fourth Amendment problem.
Assessing CellaVision peripheral blood and advanced RBC application software’s impact on hematologic morphology reporting: Real-world implementation experience in a large Veterans Affairs hospital
Authors: Lundgren Cory R 
Published: October 2024

Abstract

Objectives
This quality improvement study, conducted at the Kansas City Veterans Affairs Medical Center in Kansas City, Missouri, examined the change in patient reporting after transitioning from manual to CellaVision software-guided differentials and slide reviews. The primary focus was blasts and schistocytes, given their clinical significance.

Methods
Three months of manual and CellaVision patient data were examined between May 2022 and February 2023. Blast and schistocyte patients were standardized to the total specimens performed and compared using 2-sample proportion testing. Other red blood cell (RBC) morphologies were also compared using this statistical analysis.

Results
Blast and schistocyte reporting after technologist review statistically increased after implementing the CellaVision software. This finding was most prevalent for low-percentage blasts. In addition, both morphologies experienced varying degrees of false-positive reporting, with 33% for low-percentage blasts and 91.7% for schistocytes. Other RBC morphologies displayed different levels of change, which could be clinically significant.

Conclusions
The CellaVision software’s increased sensitivity to blasts and schistocytes may benefit patient care, especially those with hematologic disorders. The software’s high false-positive rate can be reduced by implementing quality metrics that prioritize clinically significant cells. This can be accomplished by implementing a CellaVision Champion to monitor reporting changes, perform patient lookbacks through the software, and provide technologist education. In addition, adopting a more stringent grading scale for schistocytes could also improve the high false-positive rate. Overall, CellaVision provides the ability to enhance hematology quality metrics by providing access to how patient cells are categorized and offering prompt education.
Identifying disruptive papers in pharmacy literature that changed clinical practice: 1954-2014
Authors: Becerra Adan Z , Kam Leslie , Kim Yoona , Park Haesuk 
Published: October 2024

Abstract

Purpose
This study aimed to identify research publications that have significantly influenced clinical practice in pharmacy using a novel metric known as the disruption score.

Methods
We conducted a bibliometric analysis and PubMed search of pharmacy practice articles published in 11 key pharmacy journals and articles tagged with the MeSH term “pharmacy” or “pharmacist.” Utilizing a validated dataset of disruption scores encompassing articles published between 1954 and 2014, we identified the top 100 most disruptive papers alongside the top 100 most cited papers. Additionally, we explored comparisons between these lists and across various journals to gain comprehensive insights into the field’s evolution over time.

Results
A total of 59,535 articles met the inclusion criteria, of which 56,764 (95%) were published in the 11 core pharmacy practice journals we chose while 2,771 (5%) were published in other PubMed-indexed journals. Notably, the top 100 most disruptive papers were deemed more disruptive than 99.9% of the entire PubMed universe. The most cited paper was the 22nd most disruptive paper. The mean citation count among the top 100 most disruptive papers was 196. The 1990s was the most disruptive decade, and American Journal of Health-System Pharmacy was the most disruptive journal. We observed a weak correlation between disruption score and citation count.

Conclusion
The disruption score identified an innovative body of landmark papers whose legacy will remain solidified in pharmacy practice. The disruption score offers a unique perspective on clinical significance, complementing other bibliometric indices and adding to the identification of papers that have introduced new paradigms in pharmacy.
The pragmatism of emotional-expressive words in Kazakh linguistics: A study of M. Auezov’s ‘The Way of Abai’
Authors: Telgozhayeva Kuralay , Kossymova Gulbany , Sovetova Zaure , Telgozhayeva Khadisha 
Published: October 2024

Abstract
The issue of the research of emotional lexemes is conditioned upon pragmatic relations, which constitute an important basis in the definition of expressive language units. The purpose of the research is to analyse features of emotional and expressive linguistic units, considering the cognitive and linguistic nature of words in M. Auezov’s work ‘The Way of Abai.’ The methods used to achieve the research objectives were: generalization, axiomatic, content analysis, and comparative analysis. The results of the work have determined that using words depends on a different range of emotions, where a particular situation influences the traditions and perceptions of the period concerned, developing a linguistic picture of the world. The practical significance of the research is in using the results of the research by linguists, experts, and specialists in the field of pedagogy and linguistics.
The Impact of Behavioral and Psychological Symptoms of Dementia on Individual’s Autonomy: a Scoping Review
Authors: Delineau Valeska Maria Eboli Bello , Ferreira Ana Rita , Passos Ligia , Fernandes Lia 
Published: October 2024

ABSTRACT
The purpose of this study was to identify, map, summarize, and clarify the existing literature on the effects of behavioral and psychological symptoms of dementia (BPSD) an individual’s autonomy across all types of dementia diagnoses. The study aimed to determine whether there is a correlation between BPSD and a decrease in a person’s autonomy, as this relationship is important for improving dementia care through effective interventions. To achieve this goal, a scoping review was conducted using the Joanna Briggs Institute’s methodology for scoping reviews and the PRISMA extension for scoping reviews checklist. The inclusion criteria were: (i) population: participants with a clinical diagnosis of any type of dementia; (ii) concept: examining the relationship between one or more neuropsychiatric symptoms or BPSD and the individual’s autonomy; (iii) context: the progress of any type and any stage of dementia. The database search yielded 74 records, of which 41 fully met the pre-established eligibility criteria. Most studies in this review focused on participants with Alzheimer’s disease and analysed their functional abilities. Most studies in this review showed significant outcomes regarding the impact of BPSD on a person’s autonomy. The main BPSD investigated in the studies were depression, apathy, irritability, agitation, aggression, disinhibition, and lability. Apathy had a recurrent association with reduced autonomy in persons with dementia, while depression and psychosis were also found to have an impact on individuals’ autonomy.
ACLNDA: an asymmetric graph contrastive learning framework for predicting noncoding RNA–disease associations in heterogeneous graphs
Authors: Fu Laiyi , Yao ZhiYuan , Zhou Yangyi , Peng Qinke , Lyu Hongqiang 
Published: October 2024

Abstract
Noncoding RNAs (ncRNAs), including long noncoding RNAs (lncRNAs) and microRNAs (miRNAs), play crucial roles in gene expression regulation and are significant in disease associations and medical research. Accurate ncRNA–disease association prediction is essential for understanding disease mechanisms and developing treatments. Existing methods often focus on single tasks like lncRNA–disease associations (LDAs), miRNA–disease associations (MDAs), or lncRNA–miRNA interactions (LMIs), and fail to exploit heterogeneous graph characteristics. We propose ACLNDA, an asymmetric graph contrastive learning framework for analyzing heterophilic ncRNA–disease associations. It constructs inter-layer adjacency matrices from the original lncRNA, miRNA, and disease associations, and uses a Top-K intra-layer similarity edges construction approach to form a triple-layer heterogeneous graph. Unlike traditional works, to account for both node attribute features (ncRNA/disease) and node preference features (association), ACLNDA employs an asymmetric yet simple graph contrastive learning framework to maximize one-hop neighborhood context and two-hop similarity, extracting ncRNA–disease features without relying on graph augmentations or homophily assumptions, reducing computational cost while preserving data integrity. Our framework is capable of being applied to a universal range of potential LDA, MDA, and LMI association predictions. Further experimental results demonstrate superior performance to other existing state-of-the-art baseline methods, which shows its potential for providing insights into disease diagnosis and therapeutic target identification. The source code and data of ACLNDA is publicly available at https://github.com/AI4Bread/ACLNDA.
Advancing microbial diagnostics: a universal phylogeny guided computational algorithm to find unique sequences for precise microorganism detection
Authors: Sharma Gulshan Kumar , Sharma Rakesh , Joshi Kavita , Qureshi Sameer , Mathur Shubhita , Sinha Sharad , Chatterjee Samit , Nunia Vandana 
Published: October 2024

Abstract
Sequences derived from organisms sharing common evolutionary origins exhibit similarity, while unique sequences, absent in related organisms, act as good diagnostic marker candidates. However, the approach focused on identifying dissimilar regions among closely-related organisms poses challenges as it requires complex multiple sequence alignments, making computation and parsing difficult. To address this, we have developed a biologically inspired universal NAUniSeq algorithm to find the unique sequences for microorganism diagnosis by traveling through the phylogeny of life. Mapping through a phylogenetic tree ensures a low number of cross-contamination and false positives. We have downloaded complete taxonomy data from Taxadb database and sequence data from National Center for Biotechnology Information Reference Sequence Database (NCBI-Refseq) and, with the help of NetworkX, created a phylogenetic tree. Sequences were assigned over the graph nodes, k-mers were created for target and non-target nodes and search was performed over the graph using the depth first search algorithm. In a memory efficient alternative NoSQL approach, we created a collection of Refseq sequences in MongoDB database using tax-id and path of FASTA files. We queried the MongoDB collection for the target and non-target sequences. In both the approaches, we used an alignment free sliding window k-mer–based procedure that quickly compares k-mers of target and non-target sequences and returns unique sequences that are not present in the non-target. We have validated our algorithm with target nodes Mycobacterium tuberculosis, Neisseria gonorrhoeae, and Monkeypox and generated unique sequences. This universal algorithm is a powerful tool for generating diagnostic sequences, enabling the accurate identification of microbial strains with high phylogenetic precision.
Consensus on the prevention and repair of titanium mesh exposed wound after cranioplasty (2024 edition)
Authors: Zhang Pihong , Fu Xiaobing , Huang Yuesheng ,   Wound Repair Professional Committee of Chinese Medical Doctor Association
Published: October 2024

Abstract
Titanium mesh exposure after cranioplasty is the most serious complication of this procedure. Although some clinical experience has been gradually accumulated over the years in the diagnosis and treatment of titanium mesh exposure, the treatment is often not standardized and it is difficult to achieve satisfactory repair results due to insufficient understanding of its pathogenesis and concurrent infections. To normalize the diagnosis and treatment of titanium mesh exposed wounds after cranioplasty and improve the therapeutic effect and the quality of life of patients, the Wound Repair Professional Committee of Chinese Medical Doctor Association organized an expert discussion based on the literature and current diagnosis and treatment status of titanium mesh exposed wounds after cranioplasty at home and abroad, and reached a consensus on the pathogenesis, preventive measures, and diagnosis and treatment strategies of titanium mesh exposed wounds after cranioplasty to provide reference for relevant clinicians.
Engineered extracellular vesicles for tissue repair and regeneration
Authors: Zhang Yan , Wu Dan , Zhou Chen , Bai Muran , Wan Yucheng , Zheng Qing , Fan Zhijin , Wang Xianwen , Yang Chun 
Published: October 2024

Abstract
Extracellular vesicles (EVs) are heterogeneous membrane-like vesicles secreted by living cells that are involved in many physiological and pathological processes and act as intermediaries of intercellular communication and molecular transfer. Recent studies have shown that EVs from specific sources regulate tissue repair and regeneration by delivering proteins, lipids, and nucleic acids to target cells as signaling molecules. Nanotechnology breakthroughs have facilitated the development and exploration of engineered EVs for tissue repair. Enhancements through gene editing, surface modification, and content modification have further improved their therapeutic efficacy. This review summarizes the potential of EVs in tissue repair and regeneration, their mechanisms of action, and their research progress in regenerative medicine. This review highlights their design logic through typical examples and explores the development prospects of EVs in tissue repair. The aim of this review is to provide new insights into the design of EVs for tissue repair and regeneration applications, thereby expanding their use in regenerative medicine.