bluuebunny/crossref_metadata_2025_split huggingface dataset:
An automated system to maintain the departmental activities over cloud: An android application approach
Authors: Murad Saydul Akbar , Adhikary Apurba , Hossain Md. Bipul , Raha Avi Deb , Azmil Zafril Rizal M , Ahsan Md. Shamim , Miah M. Saef Ullah , Muza Abu Jafar Md 
Published: January 2023

Abstract
Educational institutions nowadays follow different administrative approaches to fulfil different departmental administrative tasks. A department of an educational institution has a lot of things to do and manage for the students and teachers. The department has to post notices on the bulletin board, keep information about students, record attendance in class, manage students’ attendance rate and results, and so on. Most educational institutions in many countries rely on paper-based administration, which requires a lot of staff and man-hours. Therefore, we have proposed an Android application for department management that has two panels, namely an admin panel and a user panel. Our proposed Android application can be used to upload messages, enrol courses and students, record attendance, set attendance percentages, and calculate results. To access the proposed Android application, a user must create an account, while a specific email and password are provided for the admin panel, i.e., teachers. The users can only see the provided information, while the administrators can modify all kinds of data in the proposed application. The administrators have the ability and permission to upload messages, record attendance, formulate attendance percentage, calculate results and perform other department specific activities. We have developed our proposed application using various technologies like Java, Firebase and Recycler Window. This Android application reduces the effort for the user and saves time for students and teachers. We strongly believe that our proposed Android application will usher in a new era in managing departmental activities in educational institutions.
Neural signatures of voluntary action with long-range intentions
Authors: Chen Xiaosheng , Chen Jingjing , Reed Phil , Zhang Dan 
Published: January 2023

Abstract

Long-range intentions are a vital feature of real-world voluntary action, but have not been extensively studied in relation to their neural correlates. The current study adopted a procedure instead that previous highly repeatable and single decision point paradigms, in which voluntary action (generated by a random ratio (RR), yoked random interval (RI) reinforcement schedule) could be compared with a yoked condition in which participants responded to an external cue. Participants were required to reach the highest reward rates they could in the RI schedule, which offered an indicator of the extent to which long-range intentions have been formed. A classical RP amplitude occurred preceding participants’ keypress action in the current study. EEG amplitudes and EEG variability decreased significantly prior to voluntary action, compared to externally triggered action. These results extend previous findings regarding voluntary action arising from a particular set of long-range intention-based processes, rather than the outcome of stochastic neural fluctuations. Notably, EEG amplitudes decreased significantly differently prior to higher RI-reward rates (i.e., higher plane of long-range intentions formed). The novel experimental paradigm suggests a possible contribution of long-range intentions on the neural activities stage prior to voluntary action.
Ecology, Behavior and Bionomics: Functional response of Heterotermes tenuis Hagen (Insecta: Blattaria: Isoptera) in forests of the Colombian Orinoquía
Authors: SALAZAR LUIS RICARDO SALAZAR , SALAZAR-SALAZAR LUIS RICARDO , PINZÓN-FLORIAN OLGA PATRICIA 
Published: January 2023

Abstract
Background
The functional traits of insects and, in particular, those associated with termites have not been widely studied. Some studies present purely taxonomic approaches and overestimate interspecific variation and ignore intraspecific variation. Likewise, it is unknown how the functional morphological traits of termites are modified as a result of disturbances, in this case, the change in land use. Therefore, in order to contribute to the understanding of the response mechanisms of termites against land use change and its implications in intraspecific variation, we carried out morphological medition of 38 functional morphological traits (FMT) of the worker and soldier caste of xylophagous species Heterotermes tenuis (Hagen, 1858) in four periods of Pinus caribaea plantation (Morelet, 1851) and gallery forest relicts. Comparisons between relict forest and plantations were made using non-metric multidimensional scaling analysis, PERMANOVA and multinomial models.
Results
The intraspecific variation of 16 traits of the 38 studies presented lower values ​​both in plantations and in gallery forests. Traits related to general body size are not considered useful due to their observed variation. Likewise, a more significant effect of the type of land use was observed than the plantation ages in the greater size of the workers, while the results were not conclusive in the military caste.
Conclusions
The results suggested a homogenization of the TMF of the worker caste of H. tenuis in the pine plantations, most likely, but not only related to an increase in the softwood food supply of P. caribaea.
Optimizing the prebiotic profile of donor human milk for preterm infants: a protocol for the Matching Donor Human Milk On Maternal Secretor Status (MMOMSS) pilot randomized controlled trial
Authors: Brockway Merilee (Meredith) , Alshaikh Belal , Festival Jannette , Arrieta Marie-Claire , Azad Meghan 
Published: January 2023

Abstract

Background: Breastfeeding is the most important factor shaping the infant gut microbiome, providing human milk oligosaccharides (HMOs) that serve as prebiotics for commensal gut bacteria. Donor human milk (DHM) is considered the best alternative when mothers own milk is not available. HMO profiles are highly variable among mothers and there is currently no "matching" process to optimize provision of DHM to recipient infants. The strongest factor influencing HMO composition is maternal secretor status, determined by the expression of a specific gene (α-1, 2-fucosyltransferase-2, FUT2). About 20% of the population are non-secretors and the impact of feeding DHM from secretor donors to infants of non-secretor mothers is not well understood. We aim to explore if matching DHM based on maternal secretor status impacts the development of the gut microbiome in preterm infants.
Methods: This is a pilot, randomized, controlled trial of 60 mother-infant dyads, comparing microbial composition of preterm infants (<34 weeks gestation) who receive DHM matched to their mother’s secretor status to infants who receive standard issue (non-matched) DHM. Enrolled mothers will be randomized to either the intervention (n=30) or control group (n=30). Infants of mothers assigned to the intervention group will receive "matched" DHM based on maternal secretor status. Infant fecal samples will be collected weekly until discontinuation of DHM or discharge/transfer from the unit. Samples of mother’s own milk and DHM will also be collected to analyze HMO and nutrient content. Microbial DNA will be analyzed using shallow shotgun sequencing to identify microbial population structures and functional capacity. Microbial composition from intervention and control groups will be compared to determine differences in diversity and taxonomy. The Consolidated Framework for Implementation Research will be used to assess clinical feasibility of the trial in the NICU environment.
Discussion: This research could better inform how milk banks and neonatal intensive care units provide DHM to preterm infants. Additionally, it will expand our understanding of the prebiotic effects of HMOs on the infant microbiome and may inform future prebiotic/probiotic supplementation regimens.
Trial Registration: Registration on ClinicalTrials.gov was completed on October 17, 2019, and updated on February 11, 2022, with the Identifier: NCT04130165
A novel strategy to characterize the pattern of β-lactam antibiotic-induced drug resistance in Acinetobacter baumannii
Authors: Hillyer Trae , Benin Bogdan M. , Sun Chuanqi , Aguirre Noah , Willard Belinda , Sham Yuk Yin , Shin Woo Shik 
Published: January 2023

Abstract
Carbapenem-resistant Acinetobacter baumannii (CRAb) is an urgent public health threat, according to the CDC. This pathogen has few treatment options and causes severe nosocomial infections with > 50% fatality rate. Although previous studies have examined the proteome of CRAb, there have been no focused analyses of dynamic changes to β-lactamase expression that may occur due to drug exposure. Here, we present our initial proteomic study of variation in β-lactamase expression that occurs in CRAb with different β-lactam antibiotics. Briefly, drug resistance to Ab (ATCC 19606) was induced by the administration of various classes of β-lactam antibiotics, and the cell-free supernatant was isolated, concentrated, separated by SDS-PAGE, digested with trypsin, and identified by label-free LC-MS-based quantitative proteomics. Peptides were identified and evaluated using a 1789 sequence database of Ab β-lactamases from UniProt. Importantly, we observed that different antibiotics, even those of the same class (e.g. penicillin and amoxicillin), induce non-equivalent responses comprising various Class C and D serine-β-lactamases, resulting in unique resistomes. These results open the door to a new approach of analyzing and studying the problem of multi-drug resistance in bacteria that rely strongly on β-lactamase expression.
Influence of mean arterial pressure on the decision to terminate CRRT and in-hospital mortality: A single-center prospective study
Authors: Yoon Jakyung , Jang Gum Sook , Kim Da Woon , Kim Hyo Jin , Song Sang Heon , Seong Eun Young , Rhee Harin 
Published: January 2023

Abstract
Background
We hypothesized that a low mean arterial pressure (MAP) at CRRT initiation would influence the early death or withdrawal of CRRT and in-hospital mortality.
Methods
This prospective cohort study collected data for CRRT patients seen at the Third Affiliated Hospital from January 2016 to December 2020. We collected MAP data at the initiation of CRRT, reasons for CRRT termination, and in-hospital mortality data. We divided the patients into four groups based on quartiles of the initial MAP and analyzed its influence on early death/withdrawal of CRRT.
Results
A total of 2,346 patients with acute kidney injury (AKI) were included in this study. The median age of the participants was 68.0 (57.0–76.0) years, and 62.4% were male. CRRT was discontinued in 49.9% of our patients after renal recovery or HD transition; in 48.8%, CRRT was terminated by death (36.6%) or withdrawal (12.2%). An initial low MAP (Q1, MAP ≤ 69 mmHg and Q2, MAP ≤ 77.1 mmHg) was associated with a 1.3-fold greater risk of death/withdrawal during CRRT. Older age, a higher SOFA score, and oliguria at the time of CRRT initiation also predicted death/withdrawal during CRRT.
Conclusions
In patients on CRRT, a lower MAP at CRRT initiation was closely associated with a higher probability of terminating CRRT due to death/withdrawal, and it was associated with an increased risk of in-hospital mortality.
Prevalence of respiratory infections during the 2018-2020 period in the paediatric population of primary care centres in Central Catalonia
Authors: Reyes María José Macías , Vidal-Alaball Josep , Suwezda Eduardo Alejandro , Catalina Queralt Miro , Riba Maria Homs , Comellas Anna Ruiz 
Published: January 2023

Abstract
Following the COVID-19 pandemic, policies such as social distancing, hand washing and the use of masks were implemented which could play an important role in the reduction of infectious diseases. An observational, descriptive, cross-sectional study was conducted to observe the prevalence of respiratory infections in children under 15 years of age during the 2018-2020 period in Primary Care centres in Central Catalonia. In 2020, there was a 44.35 decrease in total consultations for respiratory infections compared to 2019. All respiratory infections exhibited a significant decrease except influenza, which increased by 41.76%. Children between the ages of 6 and 12 had the highest prevalence of influenza (87.68%), and the SARS-CoV-2-19 infection was most frequent (4.06%) among those between the ages of 12 and 15. Compared to urban centres, rural centres presented a higher prevalence of all infections except influenza and SARS-CoV-2. In conclusion, the COVID-19 pandemic caused a significant decrease in the number of consultations for respiratory infections in the paediatric population, except for influenza, which increased in cases in January and February 2020. No differences were found between sexes, although differences were found in the distribution of the different age groups.
A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery
Authors: Sankaranarayanan Subramanian , Banik Suvo , Loeffler Troy , Manna Sukriti , Sriniva Srilok , Darancet Pierre , Chan Henry , Hexemer Alex 
Published: January 2023

Abstract
Fast and accurate prediction of optimal crystal structure, topology, and microstructures is important for accelerating the design and discovery of new materials for energy applications. As material properties are strongly correlated to the underlying structure and topology, inverse design is emerging as a powerful tool to discover new and increasingly complex materials that meet targeted functionalities. A challenge lies in the exorbitantly large structural and compositional space presented by the various elements and their combinations. Despite the large number of new phases already being populated in the myriads of materials databases, structural prediction is still an active research area given the vast configurational and chemical spaces available for exploration. Speed, accuracy, and scalability are three desirables for any inverse design tool to sample efficiently across such a vast space. Global optimization strategies developed to tackle this challenge include, most notably, evolutionary approaches using genetic algorithms and those based on random sampling. While these approaches have demonstrated the ability to predict new crystal structures that can be used as super-hard materials, semiconductors, and photovoltaic materials to name a few, it is highly desirable to develop approaches that converge faster to the solution, have better solution quality, and are scalable to high dimensionality. Reinforcement learning (RL) approaches are emerging as powerful design tools capable of addressing these issues but primarily operate in discrete action space. As such, their applications to inverse materials design problems are limited owing to the continuous nature of materials search spaces. In this work, we introduce CASTING, which is an RL-based scalable framework for crystal structure, topology, and potentially microstructure prediction. CASTING employs an RL-based continuous search space decision tree (MCTS -Monte Carlo Tree Search) algorithm with three important modifications (i) a modified rewards scheme for improved search space exploration (ii) a “windowing” or “funneling” scheme for improved exploitation and (iii) adaptive sampling during playouts for efficient and scalable search. Using a set of representative examples ranging from metals such as Ag to covalent systems such as C and multicomponent systems (graphane, boron nitride, and complex correlated oxides), we demonstrate the accuracy, the speed of convergence, and the scalability of CASTING to discover new metastable crystal structures and phases that meet the target objective.
Discovering the Ultralow Thermal Conductive High-Entropy Pyrochlore Oxides Through the Hybrid Knowledge-Assisted Data-Driven Machine Learning
Authors: Wang William Yi , Zhang Ying , Ren Ke , Gao Xingyu , Yuan Ruihao , Wang Jun , Wang Yiguang , Song Haifeng , Liang Xiubing , LI Jinshan 
Published: January 2023

Abstract
Lattice engineering and distortion have been considered one kind of effective strategies discovering advanced materials. The instinct chemical flexibility of high-entropy pyrochlore oxides (HEPOs) motivate/accelerate to tailor the target properties through phase transformations and lattice distortion. Here, a hybrid knowledge-assisted data-driven machine learning (ML) strategy is utilized to discover the HEPOs with low thermal conductivity (𝜅) through 17 rare-earth (RE = Sc, Y, La ~ Lu) solutes optimized A-site of A2B2O7. A designing routine integrating the ML and high throughput first-principles has been proposed to predict the key physical parameter (KPPs) correlated to the targeted 𝜅 of advanced HEPOs. Among the smart-designed 6188 (5RE0.2)2Zr2O7 HEPOs, the best candidates are addressed and validated by the principles of severe lattice distortion and local phase transformation, which effectively reduce 𝜅 by the strong multi-phonon scatting and weak interatomic interactions. Particularly, (Sc0.2Y0.2La0.2Ce0.2Pr0.2)2Zr2O7 with predicted κ below 1.59 Wm−1 K− 1 is selected to be verified, which match well with the experimental κ = 1.69 Wm−1 K− 1 at 300K and could be further decreased to 0.14 Wm−1 K− 1 at 1473K. Moreover, the coupling effects of lattice vibrations and charges on heat transfer are revealed by the cross-validations of various models, indicating that the weak bonds with low electronegativity and few bonding charge density and the lattice distortion (r*) identified by cation radius ratio (rA/rB) should be the KPPs to decrease κ efficiently. This work supports an intelligent designing strategy with limited atomic and electronic KPPs to accelerate the development of advanced multi-component HEPOs with properties/performance at multi-scales.
Correlation study between the degree of fatty infiltration and the lesion of the waist
Authors: Liu Sijia , Li Jianjun , Pan Junnan 
Published: January 2023

Abstract
Objective
Through the analysis of the measurement data of paravertebral muscle cross-sectional area in normal people and patients with lumbar disease, the change of paravertebral muscle area in patients with lumbar disease was analyzed, and the accurate measurement of paravertebral muscle fat percentage provided a new objective evaluation basis for clinical judgment of lumbar disease.
Methods
The 150 patients with non-specific low back pain(LBP), 150 patients with lumbar disc herniation(LDH) and 150 healthy people were collected. The lumbar MRI was obtained from L3 to L5, and the upper endplate, intervertebral disc and lower endplate were three planes respectively, a total of 9 planes. Image J software was used to measure the area of erector spinae, psoas major muscles, multifidus muscles and fat infiltration area. The degree of LBP was scored by VAS and ODI.
Result
Compared with the normal male group and the female group, the fatty infiltration rate of the female paraspinal muscle is significantly higher than that of the male group, and there is a statistical difference(P < 0.05). There is a linear positive correlation between the fatty infiltration rate of normal paraspinal muscles and age, and the fatty infiltration rate increases significantly with age(P < 0.05). Compared with normal people,the fatty infiltration rate of paraspinal muscles in patients with LDH is significantly increased, and there is a statistical difference(P < 0.05). Compared with normal people, the fatty infiltration rate of paraspinal muscle in patients with LBP was significantly increased, and there was statistical difference(P < 0.05). There was a correlation between VAS score, ODI score and the fatty infiltration rate in patients with LBP, and the fatty infiltration rate gradually increased with the increase of score(P < 0.05).
Conclusion
In normal subjects, the fatty infiltration rate of paraspinal muscle was higher in female ,and the fatty infiltration rate of paraspinal muscle increased with age. Patients with LDH have a greater rate of fatty infiltration than normal subjects. The rate of fatty infiltration of patients with LBP is also higher than that of normal subjects, and the higher the VAS score and ODI score, the higher the fatty infiltration rate.
Colorectal cancer with low SLC35A3 is associated with immune infiltrates and poor prognosis
Authors: Lu Shuai , Sun Xibo , Tang Huazhen , Yu Jinxuan , Wang Bing , Xiao Ruixue , Qu Jinxiu , Sun Fang , Deng Zhuoya , Li Cong , Yang Penghui , Yang Zhenpeng , Rao Benqiang 
Published: January 2023

Abstract
The expression level of SLC35A3 is related to the prognosis of many cancers, but its role in colorectal cancer (CRC) is still unknown. The purpose of our research is to clarify the role of SLC35A3 in the CRC. The expression level of SLC35A3 in CRC was evaluated by Tumor Immune Estimate Resource (TIMER), The Cancer Genome Atlas (TCGA), Human Protein Atlas (HPA) and qRT-PCR experiment. TCGA data set was used to analyze the diagnostic and prognostic value of SLC35A3 in CRC. An overall survival model was constructed and validated based on the expression level of SLC35A3 and the results of multivariate analysis. cBioPortal tool is used to analyze SLC35A3 mutation in CRC, and UALCAN tool was used to analyze the promoter methylation level of SLC35A3 in CRC. In addition, the role of SLC35A3 in the CRC was determined by GO analysis, KEGG analysis, gene set enrichment analysis (GSEA), immune infiltration analysis and correlation analysis of immune checkpoints. Compared with adjacent normal tissues of CRC and colon epithelial cells , the expression of SLC35A3 in CRC tissues and CRC cell lines decreased. The low expression of SLC35A3 is related to N stage, pathological stage and lymph infiltration, and is not conducive to overall survival (OS) and disease specific survival (DSS). According to Receiver Operating Characteristic (ROC) analysis, SLC35A3 could be an important diagnostic biomarker for patients with CRC. The nomograph based on SLC35A3 is a model superior to a single prognostic factor. SLC35A3 has multiple types mutations in CRC, and its promoter methylation level is significantly reduced. GO and KEGG analysis display the SLC35A3 may involved in the transmembrane transporter activity, cell communication and the interaction of neural active ligand receptors. GSEA disclosed that SLC35A3 may participate in energy metabolism, DNA repair, cancer pathway. In addition, SLC35A3 is closely related to a variety of immune cell infiltration and immune checkpoint expression. The results of this study indicate that the decreased expression of SLC35A3 is closely related to poor prognosis of CRC and immune cell infiltration. SLC35A3 is a promising independent prognostic biomarker and a potential therapeutic target for CRC.