bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing Resource Allocation Based on Workload: a Data Envelopment Analysis Study on Clinical Departments in a Class A Tertiary Public Hospital in China
Authors: Hao Xiaoxiong , Han Lei , Zheng Danyang , Jin Xiaozhi , Li Chenguang , Huang Lvshuai , Huang Zhaohui 
Published: February 2023

Abstract
Objective
Today, the development mode of public hospitals in China is turning from expansion to efficiency, and the management mode is turning from extensive to refined. This study aims to evaluate the efficiency of clinical departments in a Chinese class A tertiary public hospital (Hospital M) to analyze the allocation of hospital resources among these departments providing a reference for the hospital management.
Methods
The hospitalization data of inpatients from 32 clinical departments of Hospital M in 2021 are extracted from HIS, and a dataset containing 38,147 inpatients is got using stratified sampling. Considering the non-homogeneity of clinical departments, the 38,147 patients are clustered using the K-means algorithm based on workload-related indicators including inpatient days, intensive care workload index, nursing workload index, and operation workload index, so that the medical resource consumption of inpatients from non-homogeneous clinical departments can be transformed into the homogeneous workload of medical staff. Taking the numbers of doctors, nurses and beds as input indicators, and the numbers of inpatients assigned to certain clusters as output indicators, an input-oriented BCC model is built named the workload-based DEA model. Meanwhile, a control DEA model with the number of inpatients and medical revenue as output indicators is built, and the outputs of the two models are compared and analyzed.
Results
The clustering of 38,147 patients into 3 categories is of better interpretability. 14 departments reach DEA efficient in the workload-based DEA model, 10 reach DEA efficient in the control DEA model, and 8 reach DEA efficient in both models. The workload-based DEA model gives a relatively rational judge on the increase of income brought by scale expansion, and evaluates some special departments like Critical Care Medicine Dept., Geriatrics Dept. and Rehabilitation Medicine Dept. more properly, which better adapts to the functional orientation of public hospitals in China.
Conclusion
The design of evaluating the efficiency of non-homogeneous clinical departments with the workload as output proposed in this study is feasible, and provides a new idea to quantify professional medical human resources, which is of practical significance for public hospitals to optimize the layout of resources, to provide real-time guidance on manpower grouping strategies, and to estimate the expected output reasonably.
The role of digital content consumption in environmentally sustainable lifestyles
Authors: Istrate Ioan-Robert , Tulus Victor , Grass Robert , Vanbever Laurent , Stark Wendelin , Guillén-Gosálbez Gonzalo 
Published: February 2023

Abstract

Internet access has reached ca. 60% of the global population, with an average individual spending > 40% of the waking life on the Internet. We assess the environmental impacts of digital content consumption against the Earth’s ecological budget, finding that web surfing, social media, video and music streaming, and video conferencing could consume on average ∼40% of the per capita carbon budget consistent with limiting global warming to 1.5°C, as well as 55% of the per capita carrying capacity for mineral and metal resources depletion and > 10% for other five impact categories. Electricity decarbonisation would mitigate the climate impacts of Internet consumption substantially, but other impacts due primarily to the mining activities linked to electronic devices would remain of concern. A synergistic combination of rapid decarbonisation, electronic devices’ energy efficiency improvement, lifetime extension, and recycling, and behavioural change is paramount to prevent the increasing Internet demand from hindering sustainable lifestyles.
On computing modified moments for half-range Hermite weights
Authors: Laudadio Teresa , Mastronardi Nicola , Dooren Paul Van 
Published: February 2023

Abstract
In this paper we consider the computation of the modified moments for the system of Laguerre polynomials on the real semiaxis with the Hermite weight. These moments can be used for the computation of integrals with the Hermite weight for the real semiaxis, either via product rules or via the construction of the n-point Gaussian quadrature rule with respect to this nonstandard weight using the Chebyshev algorithm. We propose a new computational method based on the construction of the null-space of a rectangular matrix derived from the three--term recurrence relation of the system of orthonormal Laguerre polynomials. It is shown that the proposed algorithm computes the modified moments with high accuracy and linear complexity. Numerical examples illustrate the effectiveness of the proposed method.
CNN-based deep learning method for predicting the disease response of NAC (Neoadjuvant Chemotherapy) treatment method in Breast Cancer
Authors: Kirelli¹ Yasin , Arslankaya Seher , Koçer Havva Belma , Harmantepe Tarik 
Published: February 2023

Abstract
Healthcare institutions produce big heterogeneous data in different structures and sources daily. Depending on this situation, the prediction of being able to make sense of and manage the data in this structure with traditional methods could decrease. Depending on this situation, the performance of interpreting and managing data in this structure decreases with traditional methods. It is a powerful tool for managing, interpreting, and analyzing such data with machine learning and deep learning methods. The correct diagnosis of the disease and the correct analysis of pathological data depend on obtaining and interpreting the appropriate data for prediction. NAC (Neoadjuvant Chemotherapy), a treatment method used in breast cancer cases discussed in the study, aimed to predict patients' response to treatment and the disease development process in the pathological area. Classification performances of CNN-based proposed models for tumor status after NAC treatment have been evaluated in detail through pathological data frequently used in the healthcare industry. The number of convolutional layers, data set quality, and main criteria that may affect the model's success during training have been evaluated. Since it can offer strong feature representation, results have been obtained with scenarios based on CNN models from deep neural networks. Interpreting the pathological test results with deep learning methods in determining the correct diagnosis and treatment method with the prognosis follow-up of the patient provides clinicians with a solution to a large extent.
Histological and bone mineral density analyses of the mandibular lamellar/oblique fracture healing in beagles.
Authors: Xin Tingting , Li Jun , Xu Qian 
Published: February 2023

Abstract
Objective: The goal of this study was to determine whether there were any differences in the healing processes for linear fractures and lamellar/oblique mandibular fractures.
Materials and methods: Using a random number generator, two groups of six beagle dogs each were created from a group of twelve.The experimental group was the lamellar/oblique fracture of the mandible, while the control group was the traditional linear fracture. The first premolar and the first molar were where the fracture occurred. Two 4-hole bone plates were used to repair the fracture line.
Results: X-ray:the experimental group's fracture space was fuzzier and eventually disappeared between the two groups. Histology: the Collagen Volume Fraction in the experimental group was lower than that in the control group three months after surgery. The experimental group had more bone cells than the control group did one month following the surgery.Both groups' trabecular arrangements became more regular as the healing process progressed.Bone mineral density: the experimental group's bone mineral density was higher than the control group's one month following surgery. Four-point bending test:the experimental group's fracture energy was higher than the control group's one month following the surgery. The experimental group's stiffness was substantially greater than the control group's three months after the procedure. The maximal loading of the experimental group was higher than that of the control group at one and three months following the operation.
Conclusion: In comparison to traditional linear fractures, lamellar/oblique fractures of the mandible have higher bone mineral density, are more rigid, and heal more quickly.
Tolerance specifications management in industrial product design cycle
Authors: Maltauro Mattia , Meneghello Roberto , Concheri Gianmaria 
Published: February 2023

Abstract
In tolerancing activities, focusing on geometrical tolerances allocation, many critical issues originate from a non-optimal responsibilities assignment among the involved organization units. This paper aims to depict relations between different tolerancing activities, and relevant specifications, assigning them to the proper actor, therefore expanding the ISO 8015:2011 “responsibility principle”. A classification among tolerancing activities, specifications, and media is proposed; a horizontal hierarchical framework, among functional, manufacturing, and verification specifications and a vertical hierarchical framework, along the supply chain, are discussed. Examples of both hierarchical structures are presented.
Analysis of seasonal environmental fragility using the normalized difference vegetation index (NDVI) and soil loss estimation in the Urutu watershed, Brazil.
Authors: Oliveira Víncler Fernandes Ribeiro de Oliveira , Vick Erivelton Pereira Vick , Bacani Vitor Matheus Bacani 
Published: February 2023

Abstract

Land use intensification has contributed to the emergence of impacts on the environment such as soil loss, silting of watercourses, and biodiversity reduction, among others. Using models that can seasonally diagnose environmental damage is of fundamental importance in territorial planning and management. This work aimed to analyze the seasonal Environmental Fragility (EF) from the autumn of 2019 to the summer of 2020 using the soil loss estimate. To do this, data such as slope, erodibility, erosivity and the normalized difference vegetation index (NDVI) were used. Statistical tests were also applied to assess the significance level of the models in the seasonal evaluation, as well as in the validation based on ground truth points. The results showed that there is seasonal differentiation in the EF and in the soil loss estimation, in which NDVI and erosivity are two of the main responsible factors. Spring was the one that resulted in the largest area classified as high EF (27%) and with an estimated soil loss of 0.3733 t.ha-1month-3. The summer presented the highest soil loss estimation with an average value of 0.4393 t.ha-1month-3. Autumn (0.07683 t.ha-1month-3) and winter (0.0569 t.ha-1month-3) showed the lowest rates of soil loss and the largest areas classified in the low class of EF, as a result, mainly, of the erosivity of the rains. The results indicated by the seasonal models of EF and soil loss were validated through erosion points using spatial statistics tests.
Highly versatile dissolution DNP: implementation of a multi- sample/multi-nucleus cryogenic probe with parallel NMR detection
Authors: Lê Thanh Phong , Hyacinthe Jean-Noël , Capozzi Andrea 
Published: February 2023

Abstract
Dissolution Dynamic Nuclear Polarization (dDNP) is the most versatile hyperpolarization technique to enhance NMR sensitivity in the liquid state. The unprecedented signal enhancement is the key for a large range of applications spanning from fast chemical reaction monitoring to metabolism investigation in real time. Unfortunately, this exceptional time resolution does not come without a price. Low throughput is one of dDNP main shortcomings. Especially for clinical and preclinical applications, where direct 13C nuclei polarization is usually pursued, it takes hours to generate one single hyperpolarized (HP) sample. Therefore, being able to hyperpolarize more samples at once represents a clear advantage and can expand the range and complexity of the applications. Some clinical and preclinical systems are equipped with a multi-sample option. Nevertheless, the solid-state NMR detection is far from optimal, not being sample selective or requiring the displacement of the sample to acquire and monitor its signal. In this work, we present the design and performance of a highly versatile and customizable dDNP cryogenic probe, herein adapted to a 5 T “wet” preclinical polarizer, that can not only accommodate up to three Custom Fluid Paths (CFPs), but it is also capable of monitoring the solid-state dynamics of each sample separately, thanks to dedicated pseudo-Alderman-Grant coils and multi-nuclei parallel Nuclear Magnetic Resonance (NMR) acquisition on three distinct channels. Within 30 min, the system was able to dispense three HP solutions with high repeatability across the channels (30.0 ± 1.2% carbon polarization for [1-13C]pyruvic acid doped with trityl radical). Moreover, we tested multi-nucleus NMR capability by polarizing and monitoring simultaneously 13C, 1H and 129Xe. Finally, we implemented [1-13C]lactate/[1-13C]pyruvate polarization and back-to-back dissolution and injection in a healthy mouse model to perform multiple-substrate HP Magnetic Resonance Spectroscopy (MRS) at 14.1 T.
Cone-shaped resonator-based highly efficient broadband metamaterial absorber
Authors: Kumar Raj , Singh Bipin K. , Pandey Praveen C 
Published: February 2023

Abstract
We propose a highly efficient, low-cost metamaterial absorber of nickel (Ni) metal-based cone-shaped resonators with a silicon dioxide dielectric layer (SiO2). The proposed absorber exhibits an average absorption of 97% for the transverse magnetic (TM) and transverse electric (TE) modes over the visible region which is simulated by CST software. The nickel-metal impedance coincides with the impedance of free space and makes the proposed design an effective broadband absorber in the visible region. The average absorption with different incidence angles obtains over 90% and shows the polarization angles' independence. The average absorption spectra are also examined for the absorber with different noble metals. In addition, short-circuit current densities (Jsc) are calculated at different incidence angles for both modes under a global air mass of 1.5 (AM1.5). We have also plotted the J–V curve to obtain the values of the open-circuit voltage (Voc), Fill Factor, and conversion efficiency (η), whose values are 0.563V, 81.86%, and 11.68%, respectively. The proposed metamaterial absorber can be utilized to develop more reliable, highly efficient, cost-effective, and maximum-power extraction photovoltaic systems.
Oral administration of silybin protects against MPTP-induced neurotoxicity by reducing pro-inflammatory cytokines and preserving BDNF levels in mice
Authors: Ramírez-Carreto Ricardo J. , Zaldívar-Machorro Víctor J. , Pérez-Ramírez Dafne J. , Rodríguez-López Blanca E. , Meza Claudia , García Esperanza , Santamaría Abel , Chavarria Anahi 
Published: February 2023

Abstract
Parkinson’s disease (PD) is the second most frequent neurodegenerative disease associated with motor dysfunction secondary to the loss of dopaminergic neurons in the nigrostriatal axis. Actual therapy consists mainly of levodopa; however, its long-term use promotes secondary effects. Consequently, finding new therapeutic alternatives, such as neuroprotective molecules, is necessary. Among these alternatives is silybin (Sb), the major bioactive flavonolignan in silymarin. Both exert neuroprotective effects, preserving dopamine levels and dopaminergic neurons when administered in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse PD model, being probably Sb the potential therapeutic molecule behind this effect.
To elucidate the role of Sb in the PD model, we determined the dose-dependent conservation of striatal dopamine content following Sb oral administration. Then, we evaluated motor deficit tests using the best dopamine conservative dose of Sb and determined a cytokine-dependent inflammatory profile status, malondialdehyde as an oxidative stress product, and neurotrophic factors content in the MPTP-induced mouse PD model.
Our results show that oral Sb at 100 mg/kg dose conserved about 60% dopamine levels. Also, Sb improved motor deficits, preserved neurotrophic factors content and mitochondrial function, reduced lipid peroxidation, diminished proinflammatory cytokines to basal levels, enhanced fractalkine production in the striatum and substantia nigra, and increased IL-10 and IL-4 levels in the substantia nigra in the MPTP mice. Thus, oral Sb may be a potential pharmacological PD treatment alternative.
An Optimized GATK4 Pipeline for Plasmodium falciparum Whole Genome Sequencing Variant Calling and Analysis
Authors: Niaré Karamoko , Greenhouse Bryan , Bailey Jeffrey A 
Published: February 2023

Abstract
Background
Accurate variant calls from whole genome sequencing (WGS) of Plasmodium falciparum infections are crucial in malaria population genomics. Here we optimized a falciparum variant calling pipeline based on GATK version 4 (GATK4) and applied it to 6,626 public Illumina WGS samples.
Methods
We optimized parameters that control the heterozygosity, local assembly region size, ploidy, mapping and base quality in both GATK HaplotypeCaller and GenotypeGVCFs leveraging control WGS and accurate PacBio assemblies of 10 laboratory strains. From these controls we generated a high-quality training dataset to recalibrate the raw variant data.
Results
On current high-quality samples (read length = 250bp, insert size = 405 - 524 bp ), we show improved sensitivity (86.6 ± 1.7% for SNPs and 82.2 ± 5.9% for indels) compared to the default GATK4 pipeline (77.7 ± 1.3% for SNPs; and 73.1 ± 5.1% for indels, adjusted P < 0.001) and previous variant calling with GATK version 3 (GATK3, 70.3 ± 3.0% for SNPs and 59.7 ± 5.8% for indels, adjusted P < 0.001). The sensitivity of our pipeline on simulated mixed infection samples (80.8 ± 6.1% for SNPs and 78.3 ± 5.1% for indels) was again improved relative to default GATK4 (68.8 ± 6.0% for SNPs and 38.9 ± 0.7% for indels, adjusted P < 0.001). Precision was high and comparable across all pipelines on each type of data tested. We further show that using the combination of high-quality SNPs and indels increases the resolution of local population population structure detection in sub-Saharan Africa. We finally demonstrate that increasing ploidy improves the detection of drug resistance mutations and estimation of complexity of infection.
Conclusions
Overall, we provide an optimized GATK4 pipeline and resource for falciparum variant calling which should help improve genomic studies of malaria.
A multi-criteria approach to evaluate the sustainability: a case study of the Navarrese wine sector
Authors: Mainar-Toledo María Dolores , Palmero Maider Gomez , Ramirez Maryori Diaz , Mendioroz Iñaki , Zambrana-Vasquez David 
Published: February 2023

Abstract
The present work introduces a multi-criteria approach focused on the evaluation of the wine production considering the three dimensions of sustainability, environmental, economic and social. Most relevant key performance indicators have been selected within each dimension and disaggregated into sub-indicators to address different sustainability aspects. The Analytic Hierarchy Process has been applied as the method to weight the relevance of the three dimensions and corresponding key performance indicators. Although the approach developed is specifically designed for the wine sector in the Navarrese region and therefore the key performance indicators selection could need an adjustment to adapt to the reality in other regions, results demonstrate how the approach proposed is able to identify, for both the vineyard and winery, the strengths, and weaknesses regarding the sustainability performance of them. Additionally, it also contributes to shed light on the most suitable and recommended actions to increase the company’s sustainability from sustainable perspective.
Reduce evaporation in water storage tanks by hydrophobic Leca in the experimental environment
Authors: Jajin Roza Ghahramani , Ghorbanpour Mohammad 
Published: February 2023

AbstractEvaporative loss reduction has recently received attention due to increasing water demand and decreasing water availability. For this reason, researchers are trying to produce and use high efficiency with easy and cheap materials and methods. In this; research, Leca stone has been hydrophobized by stearic acid and used to reduce water evaporation in tanks in a laboratory environment. The structural properties and hydrophobicity of the hydrophobic Leca coating were analyzed by BET (Brunauer Emmett Teller), (Fourier-transform infrared spectroscopy) FT-IR, XRD (X-ray diffraction spectroscopy) and (Thermo Gravimetric Analysis) TGA. The stability of the synthesized hydrophobic sample is more than 200 days, and its contact angle is 143 degrees. The evaporation efficiency of hydrophobic Leca and hexadecanol was investigated at 5, 25, and 40 ºC and in the presence of wind and sunlight. It prevented water evaporation by 26 and 30%, respectively, at an average relative humidity of 56%.
Data from the Evi-Dem study: characteristics, services, and costs of later- stage dementia care in England
Authors: Clarkson Paul , Davies Sue , Shields Gemma , Toole Cecilia , Sheriff Ian , Kaye Simon 
Published: February 2023

Abstract
Objectives:
This paper provides the data set from the Evi-Dem study, to promote data on the circumstances, services, costs, and outcomes of people in later stage dementia and their carers living at home in 17 areas of England. People with dementia’s sociodemographic data and data on their social networks, cognition, daily living activities, and quality of life were collected as were carers’ sociodemographic data and data on their quality of life, health and burden. The Evi-Dem project also provides data on the services received by people with dementia and their carers, and their costs. Inclusion criteria for participation were that they were aged 60 years and over, in later stages of dementia, had a carer, received an assessment/review of their care needs in the last three months, received support at home, and were resident within one of the sampled geographical areas.
Data description:
We provide sociodemographic data and data of cognitive, functional, and quality of life assessments of 518 people with dementia and their carers living at home across 17 areas of England. For each participant, standardized measures of these data are available as well as the volume, duration, and cost of support from services and carers and quality adjusted life years.
Deviation frequencies of Brownian path property approximations
Authors: Högele Michael A. , Steinicke Alexander 
Published: February 2023

Abstract
This case study proposes robustness quantifications of many classical sample path properties of Brownian motion in terms of the (mean) deviation frequencies along typical a.s. approximations. This includes Lévy's construction of Brownian motion, the Kolmogorov-Chentsov (and the Kolmogorov-Totoki) continuity theorem, Lévy's modulus of continuity, the Paley-Wiener-Zygmund theorem, the a.s. approximation of the quadratic variation as well as the laws of the iterated logarithm by Khinchin, Chung and Strassen, among others.
MSC Classification: 60A10; 60F15; 60G17