bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Two-Level Equalization Strategy of Lithium-Ion Battery Based on Graph Theory
Authors: Wu Tiezhou , Li Houjia , Li Hongguang , Zhao Rui 
Published: July 2023

Abstract
To solve the problem of inconsistency in the use of series-connected lithium-ion battery packs, this paper proposed a topological structure of dual-layer equalization based on a flying capacitor circuit and Cuk circuit, as well as a control strategy seeking the shortest equalization path. In this structure, batteries are divided into two forms: intra-group and inter-group; the intra-group equalization is the lower-level equalization while the flying capacitor circuit is used as an equalization circuit to achieve equalization between individual battery cells; and the inter-group equalization is the upper-level equalization while Cuk circuit is used as equalization circuit to achieve equalization between battery packs; each battery pack shares a battery cell, thus to obtain more options on equalization path. The proposed strategy, with state of charge as the balancing variable, represents the topological structure of the circuit in the form of graph by adopting graph theory control, seeks the optimal equalization path via ant colony optimization algorithm with global search, thus to improve the equalization speed and efficiency. At last, the structure and the strategy proposed in this paper were simulated in matlab/simulink to compare with the maximum value equalization method in the condition of static, charging, and discharging. The result of the simulation experiments shows that the equalization method based on graph theory control reduces the equalization duration by approximately 17%, and improves the equalization efficiency by approximately 2%, which verifies the superiority and effectiveness of the structure and strategy proposed in this paper.
MitoHiFi: a python pipeline for mitochondrial genome assembly from PacBio high fidelity reads
Authors: Uliano-Silva Marcela , Ferreira João Gabriel R. N. , Krasheninnikova Ksenia ,   Darwin Tree of Life Consortium, Blaxter Mark , Mieszkowska Nova , Hall Neil , Holland Peter , Durbin Richard , Richards Thomas , Kersey Paul , Hollingsworth Peter , Wilson Willie , Twyford Alex , Gaya Ester , Lawniczak Mara , Lewis Owen , Broad Gavin , Martin Fergal , Hart Michelle , Barnes Ian , Formenti Giulio , Abueg Linelle , Torrance James , Myers Eugene W. , Durbin Richard , Blaxter Mark , McCarthy Shane A. 
Published: July 2023

Abstract
Background
PacBio high fidelity (HiFi) sequencing reads are both long (15–20 kb) and highly accurate (> Q20). Because of these properties, they have revolutionised genome assembly leading to more accurate and contiguous genomes. In eukaryotes the mitochondrial genome is sequenced alongside the nuclear genome often at very high coverage. A dedicated tool for mitochondrial genome assembly using HiFi reads is still missing.

Results
MitoHiFi was developed within the Darwin Tree of Life Project to assemble mitochondrial genomes from the HiFi reads generated for target species. The input for MitoHiFi is either the raw reads or the assembled contigs, and the tool outputs a mitochondrial genome sequence fasta file along with annotation of protein and RNA genes. Variants arising from heteroplasmy are assembled independently, and nuclear insertions of mitochondrial sequences are identified and not used in organellar genome assembly. MitoHiFi has been used to assemble 374 mitochondrial genomes (368 Metazoa and 6 Fungi species) for the Darwin Tree of Life Project, the Vertebrate Genomes Project and the Aquatic Symbiosis Genome Project. Inspection of 60 mitochondrial genomes assembled with MitoHiFi for species that already have reference sequences in public databases showed the widespread presence of previously unreported repeats.

Conclusions
MitoHiFi is able to assemble mitochondrial genomes from a wide phylogenetic range of taxa from Pacbio HiFi data. MitoHiFi is written in python and is freely available on GitHub (https://github.com/marcelauliano/MitoHiFi). MitoHiFi is available with its dependencies as a Docker container on GitHub (ghcr.io/marcelauliano/mitohifi:master).
RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records
Authors: Cai Jie , Chen Shenglin , Guo Siyun , Wang Suidong , Li Lintong , Liu Xiaotong , Zheng Keming , Liu Yudong , Chen Shiling 
Published: July 2023

Abstract
Background
The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a critical measure to prevent infertility. However, the relevant data are typically stored in an unstructured format in a hospital’s electronic medical record (EMR) system, and their retrieval requires tedious manual abstraction by domain experts. Computational tools are therefore needed to reduce the workload.

Methods
We presented RegEMR, an artificial intelligence tool composed of a rule-based natural language processing (NLP) extractor and a knowledge-based disease scoring model, to automatize the screening procedure of premature ovarian decline using Chinese reproductive EMRs. We used regular expressions (REs) as a text mining method and explored whether REs automatically synthesized by the genetic programming-based online platform RegexGenerator +  + could be as effective as manually formulated REs. We also investigated how the representativeness of the learning corpus affected the performance of machine-generated REs. Additionally, we translated the clinical diagnostic criteria into a programmable disease diagnostic model for disease scoring and risk stratification. Four hundred outpatient medical records were collected from a Chinese fertility center. Manual review served as the gold standard, and fivefold cross-validation was used for evaluation.

Results
The overall F-score of manually built REs was 0.9444 (95% CI 0.9373 to 0.9515), with no significant difference (paired t test p > 0.05) compared with machine-generated REs that could be affected by training set sizes and annotation portions. The extractor performed effectively in automatically tracing the dynamic changes in hormone levels (F-score 0.9518–0.9884) and ultrasonographic measures (F-score 0.9472–0.9822). Applying the extracted information to the proposed diagnostic model, the program obtained an accuracy of 0.98 and a sensitivity of 0.93 in risk screening. For each specific disease, the automatic diagnosis in 76% of patients was consistent with that of the clinical diagnosis, and the kappa coefficient was 0.63.

Conclusion
A Chinese NLP system named RegEMR was developed to automatically identify high risk of early ovarian aging and diagnose related diseases from Chinese reproductive EMRs. We hope that this system can aid EMR-based data collection and clinical decision support in fertility centers.
Prevalence and modifiable risk factors for dementia in persons with intellectual disabilities
Authors: Takenoshita Shintaro , Terada Seishi , Inoue Tomokazu , Kurozumi Taku , Yamada Norihito , Kuwano Ryozo , Suemitsu Shigeru 
Published: July 2023

Abstract
Background
People with intellectual disability (ID) without Down syndrome (DS) are presumed to be at higher risk of developing dementia due to their lower baseline cognitive reserve. We aimed to determine the prevalence of dementia in people with ID without DS and to identify risk factors of dementia.

Methods
This was a cross-sectional survey and multicenter study in Japan. Adults with ID without DS residing in the facilities were included. Caregivers of all participants were interviewed by medical specialists, and participants suspected of having cognitive decline were examined directly. ICD-10 criteria for dementia, DC-LD criteria for dementia, and DSM-5 criteria for neurocognitive disorders were used to diagnose dementia. The severity of ID, educational history, and comorbidities were compared by dividing the groups into those with and without dementia.

Results
A total of 1831 participants were included; 118/1831 (6.44%) were diagnosed with dementia. The prevalence of dementia for each age group was 8.8%, 60–64 years; 9.0%, 65–69 years; 19.6%, 70–74 years; and 19.4%, 75–79 years. Age, severity of ID, duration of education, hypertension, depression, stroke, and traumatic brain injury were significantly associated with the presence of dementia.

Conclusions
Although the prevalence of dementia in people with ID without DS was found to be higher at a younger age than in the general population, the results of this study suggested that adequate education, prevention of head trauma and stroke, and treatments of hypertension and depression may reduce the risk of dementia. These may be potentially important modifiable risk factors for the prevention of dementia in these people.
Brief potentially ictal rhythmic discharges on intraoperative electrocorticography predict a good outcome of focal cortical dysplasia after surgical resection: a case report
Authors: Sánchez-Boluarte Sofía S. , Aguirre-Quispe Wilfor , Herrera Aramburú Manuel , Tatum William O. , De La Cruz Ramírez Walter 
Published: July 2023

Abstract
Background
Focal cortical dysplasia (FCD) is a common cause of drug-resistant epilepsy. Electroencephalography (EEG) biomarkers that predict good postoperative outcomes are essential for identifying patients with focal epilepsies.

Case presentation
We report the case of a 21-year-old female with seizure onset at the age of 9, characterized by left-hand dystonic posturing and impaired awareness, which evolved to bilateral tonic-clonic seizures, evaluated in a neurological referral center in Lima, Peru. During 6-h video-EEG, interictal EEG revealing focal brief potentially ictal rhythmic discharges (BIRDs) over the right frontal central region, lasting less than 10 s. The ictal features were characterized by low-voltage fast activity over the same area. Brain magnetic resonance imaging (MRI) demonstrated a focal lesion of focal cortical dysplasia type II in the right frontal lobe. The patient underwent a lesionectomy guided by electrocorticography, which showed continuous polyspikes. BIRDs showing a brief burst of spikes lasting longer than 0.5 s, were also identified on intraoperative electrocorticography (ECoG) and helped define the extent of resection. The patient obtained an Engel Outcome Class IA at 6 years of follow-up.

Conclusions
The atypical BIRDs on ECoG can be used as a prognostic biomarker for prolonged seizure-freedom outcome in patients with epilepsy. Additional reports are needed in developing countries with and without brain MRI lesions to advance outpatient presurgical evaluations despite limited resources.
Assortment Planning with Satisficing Customers
Authors: Pourhossein Forough , Huh Woonghee Tim , Shechter Steven M. 
Published: July 2023

Limited information, time, or capacity may prevent customers from acting as utility maximizers when making purchase decisions. Rather, they would settle for a good enough option; that is, they stop searching and make a purchase as soon as they find an acceptable alternative. We incorporate this behavior in an assortment-optimization problem. Whereas different approaches to modeling customer choice are adopted in assortment planning, all assume customers are utility maximizers. Our work bridges the research streams of assortment planning and bounded rationality, particularly satisficing behavior. In addition, we define a limit for the search budget of customers, in which customers leave without purchase after examining a certain number of items. This assumption brings a new perspective to the assortment-planning literature, enabling us to capture the choice-overload effect. We prove that the firm’s problem of finding the optimal assortment is NP-hard. We further establish certain structural properties of the optimal decision, which allows us to reformulate the model as a mixed-integer program. We analytically derive a tight upper bound on the percentage loss in the firm’s expected profit for small instances when it assumes incorrectly that customers are utility maximizers. For larger instances, we take a numerical approach to determine the loss. Our results indicate that firms offering low-involvement products, among those dealing with satisficing customers, are more likely to face substantial profit loss if they ignore this behavior. Supplemental Material: The e-companion is available at https://doi.org/10.1287/deca.2022.0063 .
Análisis crítico y ranking de la investigación de los programas de derecho en Colombia
Authors: Milla Antonio 
Published: July 2023

El artículo expone los resultados de la tercera edición del ranking en investigación de los programas de derecho en Colombia. Se describen y analizan los resultados obtenidos por 233 grupos de investigación de 119 instituciones de educación superior que imparten estudios de derecho. El trabajo se elaboró a partir de los resultados definitivos de la Convocatoria 894 de 2021 de Minciencias. Los datos recaudados permiten establecer cuáles son los mejores programas de derecho del país en el campo de la investigación y sacar conclusiones sobre la calidad de los estudios jurídicos nacionales en este mismo ámbito acerca de la coherencia entre calidad de la investigación y reconocimiento de la acreditación. Lo anterior se hará con respecto de la investigación y la autorización de registro calificado relativos a la situación de esta y la oferta de programas de doctorado y en referencia a la calidad de la investigación y los costos de matrícula, asociados a la calidad de la educación por el factor de la investigación y del carácter ―público o privado― de las
instituciones y también por la distribución regional de los programas académicos, entre las principales variables analizadas
Equinococosis quística peritoneal diseminada en paciente con infección por VIH: reporte de caso
Authors: Ruíz-Pérez Pedro J. , Huayapa-Avendaño Melissa Janet , Gómez Leyva Karla Beatriz , Rivera-Jacinto Marco A. 
Published: July 2023

La equinococosis quística es una infección zoonótica producida por la larva de Echinococcus granulosus que es capaz de invadir diversos órganos desde su ubicación en el intestino humano. En los casos de coinfección con el virus de la inmunodeficiencia humana (VIH), existe una diversidad de complicaciones condicionadas por la enfermedad inmunosupresora con pronóstico reservado. El objetivo de este reporte es describir un caso de equinococosis multiquística peritoneal en una paciente en tratamiento antiviral para VIH durante casi diez años, que recibió la combinación de albendazol más cirugía, con evolución favorable. Este reporte sería el primero en el Perú en una persona con inmunosupresión por VIH y equinococosis quística.
The Role of Morphine-Induced Impairment of Intestinal Epithelial Antibacterial Activity in Dysbiosis and its Impact on the Microbiota-Gut-Brain Axis
Authors: Akbarali Hamid , Muchhala Karan , Kang Minho , Koseli Eda , Poklis Justin , Xu Qingguo , Dewey William , Fettweis Jennifer , Jimenez Nicole 
Published: July 2023

Abstract
Host-produced antimicrobial peptides (AMPs) are critical for the integrity of the gut epithelial barrier as they prevent the pathogenesis of the enteric microbiota. Here, we report that intestinal antimicrobial activity is reduced, and epithelial permeability is increased in a morphine-dependent mouse model. Antimicrobial activity and permeability are restored by fecal transplant (FMT) from morphine-naïve mice or by oral gavage of sodium butyrate. Butyrate levels are reduced in the fecal samples of morphine-treated mice concomitant with a reduction in the phylum, Firmicutes. The alpha diversity of the microbiome is also restored by oral butyrate in morphine-dependent mice. FMT or sodium butyrate prevents downregulation of the antimicrobial peptide, Regenerating islet-derived 3 gamma (Reg3γ), and the development of antinociceptive tolerance in morphine-dependent mice. These data implicate impairment of the antimicrobial activity of the intestinal epithelium as a mechanism by which morphine disrupts the microbiota-gut-brain axis.
Impact of Long Covid on the Heart Rate Variability at Rest and During Deep Breathing Maneuver
Authors: Silva Andréa Lúcia Gonçalves , Vieira Luana dos Passos , Dias Luiza Scheffer , Prestes Cecilia Vieira , Back Guilherme Dionir , Goulart Cassia da Luz , Arena Ross , Borghi-Silva Audrey , Trimer Renata 
Published: July 2023

Abstract
While the majority of individuals with coronavirus disease 2019 (COVID-19) recovercompletely, a significant percentage experience persistent symptoms, which has beencharacterized as Long COVID and may be associated with cardiac and autonomicdysfunction. We evaluated heart rate variability (HRV) at rest and during deep-breathing(M-RSA) in patients with Long COVID. Case-control design involved 21 patients with LongCOVID and 20 controls; the HRV was evaluated (Polar® system) at rest in the supineposition and during M-RSA and expressed in time domain and non-linear analysis. We foundthat Long COVID in patients resulted in a reduction HRV measures compared to controls:Supine [Mean_iRR=716.9±948.2 vs 948.2±99.6 p<0.001; STD_iRR=12.7±6.9 vs 45.6±20.7p<0.001; STD_HR=1.7±0.7 vs 3.1±1.2 p<0.001; SD1=6.9±4.1 vs 29.5±14.4 p<0.001;SD2=16.4±9.0 vs 56.7±25.6 p<0.001; alpha2=0.5±0.2 vs 0.7±0.1 p<0.001)]; M-RSA:[Mean_iRR=685.9±97.4 vs 845.3±112.4 p<0.001; STD_iRR=24.8±14.9 vs 95.7±111.8p<0.001; Mean_HR=89.4±12.9 vs 72.8±10.3 p<0.001; STD_HR=3.2±1.3 vs 6.0±2.1p<0.001; rMSSD=14.7±8.7 vs 45.2±19.9 p<0.001; RR_tri-index=6.2±3.4 vs 15.1±3.3p<0.001)]. In conclusion, Long COVID negatively impacted HRV at rest and duringdeep-breathing. These findings may imply impairment of cardiac autonomic control whensymptoms of COVID-19 persist following initial recovery.
Epidemic Intelligence in Europe: a users’ needs perspective to foster innovation in digital health surveillance
Authors: Bouyer Fanny , Thiongane Oumy , Hobeika Alexandre , Arsevska Elena , Binot Aurélie , Corrèges Déborah , Dub Timothée , Mäkelä Henna , Kleef Esther , Jori Ferran , Lancelot Renaud , Mercier Alize , Fagandini Francesca , Valentin Sarah , Bortel Wim , Ruault Claire 
Published: July 2023

Abstract
Background
European Epidemic Intelligence (EI) systems receive vast amounts of information and data on disease outbreaks and potential health threats. The quantity and variety of available data sources for EI, as well as the available methods to manage and analyze these data sources are constantly increasing. Our aim was which innovations, according to EI practitioners, could improve the detection, monitoring and analysis of disease outbreaks and emergence of new pathogens.
Methods
We conducted a qualitative study to identify the needs for innovation expressed by 33 EI practitioners of national public health and animal health agencies in five European countries and at the European Center for Disease Control (ECDC). We adopted a step-wise approach to identify the EI stakeholders, to understand the problems they faced concerning their EI activities, to validate and further define practitioners’ problems to offer solutions. We characterized their EI activities, their professional logics, and the desired changes in their activities.
Results
Our analysis highlights that EI practitioners wished to collectively review their EI strategy in order to enhance their preparedness for emerging infectious diseases, adapt their routine to manage an increasing amount of data and to have methodological support for cross-sectoral analysis. Practitioners were in demand of timely, validated and standardized data acquisition processes by text mining of various sources; better validated dataflows respecting the data protection rules; and more interoperable data with homogeneous quality levels and standardized covariates sets for epidemiological assessments of national EI. The set of solutions, identified to facilitate risk detection and risk assessment, included visualization, text-mining, predefined analytical tools combined with methodological guidance. Practitioners also highlighted their preference for a partial rather than a full automation of analyses in order to keep control over the data, inputs and adapt parameters to versatile objectives and characteristics.
Conclusions
Overall, the set of solutions had to be based on holistic and integrated approaches for monitoring zoonosis and antimicrobial resistance and on a harmonization between agencies and sectors, while keeping flexibility in the choice of tools and methods. The technical requirements should be defined in detail by iterative exchanges with EI practitioners and decision-makers.
Conversation Coaching in Dementia: A Feasibility Study
Authors: Dooley Suzanna , Furey Sophie , O'Hanlon Shane , Walshe Margaret 
Published: July 2023

Abstract
Purpose
Conversation abilities of people with dementia (PwD) are impacted by cognitive communication deficits. Communication interventions can improve quality of life by increasing positive interactions and well-being. This study evaluates the feasibility of a conversation coaching intervention (CCI) for PwD and their communication partners (CPs).
Methods
A mixed method design was used. Thirty-four people were recruited over 12 months, 17 PwD and 17 CPs. CCI involved 1:1 and group sessions facilitated by 2 experienced speech and language therapists weekly, over 6 weeks. Participants were assessed initially and 3 months following intervention using; Profiling Communication Ability in Dementia (P-CAD), Goal Attainment Scaling and Capability Index for Older people (ICECAP-O).
Results
Twenty-eight participants completed CCI. P-CAD scores for PwD were maintained at three months for 71% (n=10) showing no decline in function and 29% (n=4) showed improvement. All PwD and their CPs reported that CCI helped them achieve their individual communication goals. Ten (71%) PwD rated their well-being as higher on the ICE-CAP-O following intervention with 29% (n=4) rating no change in well-being from initial assessment. Over three quarters of CPs, (79%: n=11), reported an increased sense of well-being following intervention and 29% (n=4) had no change in well-being.
Conclusions
Preliminary outcomes including participant feedback indicates that CCI is feasible with PwD. The communication function and well-being of PwD was either maintained or improved. CCI is collaborative and enhances retained communication abilities of people living with dementia.
Novel biotagging method using dissolvable microneedle arrays for individual identification of animals
Authors: Kim Beomjoon , Park Jongho 
Published: July 2023

Abstract
Properly handling animals and understanding their habits are crucial to establish a society where humans and animals coexist. Thus, identifying individual animals, including their possessions, and adequately managing each animal is necessary. Although several conventional identification methods exist, such as the use of ear punch, tattoos, and radio frequency (RF) chips, they require several processes and external apparatus. In this study, we proposed a new biotagging method using a microneedle array for animal identification. Our approach uses dissolvable microneedle arrays as a single patch to deliver dyes directly into the skin layer. Additionally, we developed a new fabrication method for customised female moulds to realise microneedle array patches (MAPs) with patterns of different characters and number. The characteristics and feasibility of the patterned MAPs were confirmed through basic evaluations and animal experiments. Moreover, we confirmed that patterns formed from biotagging using the developed patterned MAPs lasted over one month with clear readability. Finally, we confirmed that our patterned MAPs successfully realized biotagging on rat skin with the designated patterns including characters and number patterns. The proposed method is expected to enable minimally invasive tagging without external equipment or complex processes. In addition, the developed method could be used to embed various tags into the skin of animals and humans in the future.