bluuebunny/crossref_metadata_2025_split huggingface dataset:
Editorial
Authors: Dias Marcelo Pires , Moura Gustavo Goulart 
Published: February 2023

O ano de 2021 foi um período de mudanças importantes na revista, dentre as quais as mudanças na identidade visual, a migração do antigo site para o Portal de Periódicos da Universidade Federal do Pará e a ampliação da indexação da revista. Também foi possível construir uma estratégia de divulgação científica nas redes sociais, com a divulgação e criação de conteúdos para o Instagram e Facebook, por exemplo. Este ano termina o mandato da atual gestão e pretendemos consolidar ao longo deste essas mudanças como parte de um projeto contínuo de aperfeiçoamento da revista desde a sua fundação. Para o primeiro semestre de 2022 seguiremos na missão primordial, que é publicar e divulgar conhecimento científico de qualidade, com dados consistentes e que tragam avanços nas etnociências. Além do número ordinário previsto para este semestre, também teremos a publicação de um dossiê, contendo trabalhos selecionados da "2ª Jornada Acadêmica de Etnodiversidade: 10 anos na luta por uma universidade plural", que comemorou os 10 anos de existência do curso de Etnodesenvolvimento da Faculdade de Etnodiversidade da maior universidade da Pan-Amazônia, a UFPA. Este dossiê é fruto da parceria entre a revista e este evento. Ademais, segue aberta a chamada para a submissão de artigos no Dossiê Saberes Agroecológicos e Sistemas Alimentares na América Latina e Caribe até 28 de fevereiro de 2022, fruto de uma parceria entre pesquisadores do Brasil e do México.
Analiza termalnych efektów geomechanicznych wywołanych przepływami geotermalnymi
Authors:   Instytut Nafty i Gazu – Państwowy Instytut Badawczy, Ruciński Piotr , Szott Wiesław ,   Instytut Nafty i Gazu – Państwowy Instytut Badawczy
Published: February 2023

W pracy przedstawiono analizę wpływu efektów temperaturowych na zmianę stanu naprężeń w trakcie pracy złoża geotermalnego. Cel pracy został zrealizowany przy wykorzystaniu metody efektywnego sprzężenia symulacji złożowo-termalnych i geomechanicznych jako sprzężenia hydro-termo-mechanicznego (H-T-M). W ramach tego zadania zbudowano dwa syntetyczne złożowe modele symulacyjne, model przepływowo-termalny oraz model geomechaniczny. Do przepływowego modelu symulacyjnego zaimplementowano dublet otworów: jeden otwór zatłaczający zimną wodę i drugi – wydobywający gorącą wodę. Obliczenia różnych wariantów prognoz przepływu płynów złożowych i energii cieplnej dla złoża geotermalnego realizowano przy użyciu symulatorów Eclipse i Visage pod kontrolą oprogramowania Petrel firmy Schlumberger. W wyniku sprzężonych symulacji uzyskano rozkłady zmian parametrów złożowych (ciśnienia i temperatury) oraz zmian parametrów geomechanicznych (naprężeń i odkształceń) w funkcji czasu. Otrzymane wyniki obliczeń posłużyły do analizy stanu geomechanicznego złoża geotermalnego pod wpływem zmian ciśnienia i temperatury. Dzięki temu możliwe było określenie udziałów efektów temperaturowych i efektów ciśnieniowych w zmianie tensora naprężeń. Wykonane analizy pozwoliły również na wykazanie, który z tych czynników odgrywał dominującą rolę w trakcie pozyskiwania energii geotermalnej. Analiza stanu geomechanicznego została także uzupełniona o analizę stabilności skały złożowej z użyciem diagramów koła Mohra, ze szczególnym uwzględnieniem efektów temperaturowych. Sprzężone symulacje wariantowe pozwoliły na określenie optymalnych parametrów operacyjnych pracy złoża geotermalnego. Zbadano zmienność w czasie temperatury wydobywanej wody dla każdego wariantu symulacyjnego. Skorelowano ze sobą następujące parametry operacyjne: wydajność zatłaczania/odbioru wody i temperaturę zatłaczanej wody oraz wynikowe charakterystyki procesu pozyskiwania energii geotermalnej: czas redukcji temperatury wydobywanej wody do zadanej wartości i całkowitą ilość pozyskanej energii cieplnej. Znalezione zależności pomiędzy wspomnianymi parametrami pozwoliły na optymalizację parametrów operacyjnych pod kątem pozyskania maksymalnej ilości energii cieplnej.
Productivity, quality, and nutrient uptake of intensive forage crop rotations based on corn in sandy soil (northern Morocco)
Authors: Hassane Sidikou Abdel Aziz , Drissi Saad , Bouaziz Ahmed , Dhassi Khalid , Amlal Fouad , Darrhal Nassima , Bamouh Ahmed , El Hajli Hicham , Alouatir Zakia , Ait Houssa Abdelhadi 
Published: February 2023

<span>Intensive dairy farming systems in the sandy soil of northwestern Morocco are based on three successive forage crops per year, including corn. The aim was to evaluate the productivity and the quality of different intensive crop successions based on corn in sandy soil. Three forage crops per year (winter, spring, and summer cropping seasons) were tested according to six successions: 1. fallow-corn-corn, 2. oat-corn-corn, 3. berseem-corn-corn, 4. pea/triticale-corn-corn, 5. oat-soybean-corn, and 6. berseem-corn-soybean. Each succession of crops was evaluated in two years field experiment using a randomized complete block design. Results revealed that oat-corn-corn and pea/triticale-corn-corn successions produced the highest dry biomass (46.5 t ha<sup>-1</sup> year<sup>-1</sup>). The crop succession of berseem-corn-soybean resulted in the lowest biomass (30.8 t ha<sup>-1 </sup>year<sup>-1</sup>). The highest net energy for lactation was recorded at oat-corn-corn and pea/triticale-corn-corn successions (303 10<sup>3</sup> MJ ha<sup>-1</sup> year<sup>-1</sup>). The crop successions based on one corn (oat-soybean-corn and berseem-corn-soybean) recorded the lowest net energy for lactation (195.5 10<sup>3</sup> MJ ha<sup>-1</sup> year<sup>-1</sup>). The oat-corn-corn, pea/triticale-corn-corn, and oat-soybean-corn successions recorded the highest crude protein values (3.9 t ha<sup>-1</sup> year<sup>-1</sup>). Soil organic matter and the content of soil on total N, P, and Mg were similar for the different crop successions at the end of the experimental years.</span>
Minor Consent Laws for Sexually Transmitted Infection and Human Immunodeficiency Virus Services in the United States: A Comprehensive, Longitudinal Survey of US State Laws
Authors: Nelson Kimberly M. , Skinner Alexandra , Stout Claire D. , Raderman Will , Unger Emily , Raifman Julia , Agénor Madina , Ybarra Michele L. , Dunsiger Shira I. , Bryn Austin S. , Underhill Kristen 
Published: February 2023

Objectives. To assess changes in minor consent laws for sexually transmitted infection (STI) and HIV testing, treatment, and prevention services in all 50 US states and the District of Columbia from 1900 to 2021. Methods. We coded laws into minor consent for (1) health care generally; (2) STI testing, treatment, and prevention; (3) HIV testing, treatment, and prevention; and (4) pre- or postexposure prophylaxis for HIV prevention. We also coded confidentiality protections and required conditions (e.g., threshold clinician judgments). Results. The largest increase in states allowing minors to consent to STI services occurred during the 1960s and 1970s. By 2021, minors could consent independently to STI and HIV testing and treatment in all 50 states plus DC, STI prevention services in 32 jurisdictions, and HIV prevention services in 33 jurisdictions. Confidentiality protections for minors are rare. Prerequisites are common. Conclusions. Although the number of states allowing minors to consent independently to STI and HIV services has increased considerably, these laws have substantial limitations, including high complexity, prerequisites requiring clinician judgments, and neglect of confidentiality concerns. (Am J Public Health. 2023;113(4):397–407. https://doi.org/10.2105/AJPH.2022.307199 )
The Terms “Multivariate” and “Multivariable” Are Used Incorrectly and Interchangeably in Orthopaedic Publications
Authors: Kolin David A. , Landy David C. , Watkins Adam , Fabricant Peter D. , Chalmers Brian P. 
Published: February 2023

Abstract:
Orthopaedic surgery research increasingly utilizes statistical models to adjust for confounding, provide additional precision, and describe complex relationships. Traditionally, a statistical model is termed “multivariable” if it examines the relationship between multiple independent variables (e.g., covariables). The term “multivariate” is used to describe statistical models with multiple dependent variables (e.g., outcomes). The precise use of statistical terminology is important for study appraisal and reproducibility. The term “multivariate” is frequently used incorrectly in the orthopaedic literature to describe statistical models with a single dependent variable. In our analysis, we found that the term “multivariate” was used frequently, and in >90% of cases, the term was used to describe models that contain only a single dependent variable. Consistent with our perception, the terms “multivariable” and “multivariate” are not used with optimal precision. Below, we discuss the impact of the misuse of statistical terminology and present suggestions for improving statistical reporting.
Effect of Fibular Allograft Augmentation in Medial Column Comminuted Proximal Humeral Fractures
Authors: Wang Qiuke , Sheng Ning , Huang Jen-Tai , Zhu Hongyi , Tuerxun Maimaitiaili , Ruan Zesong , Shi Tingwang , Zhu Yu , Zhang Yunlong , Rui Biyu , Wang Lei , Chen Yunfeng 
Published: February 2023

Background:
Previous observational studies and meta-analyses have recommended augmentation with a fibular allograft (FA) during the treatment of proximal humeral fractures with locking plates (LPs). However, to our knowledge, randomized controlled trials comparing open reduction and internal fixation (ORIF) with and without FA have not been performed to date.

Methods:
This was a randomized controlled trial in which adults with a medial column comminuted proximal humeral fracture were randomly allocated to undergo ORIF with an LP (the LP group) or with an LP augmented with an FA (the FA group). Patients were followed for 24 months. The primary outcome was the Disabilities of the Arm, Shoulder and Hand (DASH) score at 12 months after the surgical procedure. The secondary outcomes included the DASH score at other time points, shoulder function, pain score, satisfaction, complications, and changes in neck-shaft angle and humeral head height.

Results:
From October 20, 2016, to December 24, 2019, 80 patients were randomized. There were 52 women (65%), and the mean patient age (and standard deviation) was 65 ± 14 years. Of the 80 patients, 39 were allocated to the FA group and 41 were allocated to the LP group. At the primary time point (12 months), the unadjusted mean between-group difference in DASH score was −1.2 (95% confidence interval [CI], −7.3 to 5.0; p = 0.71) favoring the FA group, and, with adjustment for smoking, alcohol drinking, and diabetes, the between-group difference was −1.4 (95% CI, −7.7 to 5.0; p = 0.67) favoring FA. No significant differences between the 2 groups were found among the secondary outcomes.

Conclusions:
No additional benefit was found for FA augmentation in treating medial column comminuted proximal humeral fractures.

Level of Evidence:
Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
Plants, animals, and fisheries waste mediated bioremediation of contaminants of environmental and emerging concern (CEECs) – A circular bioresource utilization approach
Authors: Krishnani Kishore Kumar , Boddu Veera Mallu , Singh Rajkumar Debarjeet , Chakraborty Puja , Verma Ajit Kumar , Brooks Lance , Pathak Himanshu 
Published: February 2023

Abstract
The release of contaminants of environmental concern including heavy metals and metalloids, and contaminants of emerging concern including organic micropollutants from processing industries, pharmaceuticals, personal care, and anthropogenic sources is a growing threat worldwide due to their toxicity, persistence, and bioaccumulative nature and adversely affect the aquatic environment, crops, animals, fisheries, and human health. There is a big challenge to mitigate inorganic and organic contaminants, which together can be coined as contaminants of environmental and emerging concern (CEECs). The physicochemical properties of several CEECs, reveal that they cannot be easily removed by traditional physicochemical processes and are not economically viable for managing mixed contaminants of low concentrations. As a result, low-cost materials must be designed to provide high CEEC removal efficiency. One of the environmentally viable and energy-efficient approaches is biosorption, which involves using either biomass or biopolymers isolated from plants or animals for decontaminating heavy metals in contaminated environments using inherent biological mechanisms. Among chemical constituents in plant biomass, cellulose, lignin, hemicellulose, proteins, polysaccharides, phenolic compounds, and animal biomass include polysaccharides and other compounds to bind heavy metals covalently and non-covalently. These functional groups include - carboxyl, hydroxyl, carbonyl, amide, amine, sulfhydryl, and other groups. Cation-exchange capacities of these bioadsorbents can be improved by applying the chemical modifications. The relevance of chemical constituents and bioactives in animal, as well as plant-derived biosorbents, is highlighted in this comprehensive review for sequestering and bioremediation of CEECs including as many as ten different heavy metals and metalloids co-contaminated with other organic micropollutants.
Simultaneous subset tracing and miRNA profiling of tumor-derived exosomes via dual-surface-protein orthogonal barcoding
Authors: Lei Yanmei , Fei Xiaochen , Ding Yue , Zhang Guihua , Song Jia , Zhuo Ying , Xue Wei , Zhang Peng , Yang Chaoyong 
Published: February 2023

Abstract
MicroRNAs (miRNAs) have been extensively studied as non-invasive biomarkers for cancer diagnosis and prognosis, while the clinical application was constrained by the heterogeneous miRNA sources in plasma and the tedious assay processes. Here we developed a one-pot assay called dual-Surface-protein-guided Orthogonal Recognition of Tumor-derived Exosomes and in-situ profiling of microRNAs (SORTER) for rapid and precise diagnosis of prostate cancer. The SORTER utilizes the orthogonal barcoding of two allosteric aptamers against exosomal marker CD63 and tumor marker EpCAM to recognize and sort tumor-derived exosome subtypes. Furthermore, the labeled barcode on tumor-derived exosomes guided the targeted fusion with liposome miRNA detection probes, enabling in-situ profiling of tumor-derived exosomal miRNAs. With a signature of six miRNAs, SORTER differentiated prostate cancer and benign prostatic hyperplasia with a sensitivity, specificity, and accuracy of 100% in the training and validation cohorts. The SORTER provides a promising tool to advance the clinical adaptability of miRNA-based liquid biopsy.
Enhanced adsorption and co-adsorption of heavy metals using highly hydrophilicity amine-functionalized magnetic hydrochar supported MIL-53(Fe)-NH2: performance, kinetics and mechanism studies
Authors: Luo Xin , Du Haiying , Zhang Xiaochao , Tang Bo , Zhang Meichen , Kang Hen , Ma Yanqi 
Published: February 2023

Abstract
It is a "kill two birds with one stone" method to convert invasive plants into hydrochar via hydrothermal carbonization as well as coinciding with 3R rules (reduction, recycling and reuse). In this work, a series of hydrochars (pristine, modified and composite) derived from invasive plants Alternanthera Philoxeroides(AP) were prepared and applied to the adsorption and co-adsorption of heavy metals (HMs) such as Pb(II), Cr(VI), Cu(II), Cd(II), Zn(II) and Ni(II). The results show MIL-53(Fe)-NH2- magnetic hydrochar composite (M-HBAP) displayed a strong affinity for HMs, which the maximum adsorption capacity for HMs were 261.74 (Pb(II)), 252.50 (Cr(VI)), 180.92 (Cd(II)), 163.76 (Cu(II)) and 77.84 (Zn(II)) mg/g calculated by Langmuir model. This may be because the doping of MIL-53(Fe)-NH2 enhanced the surface hydrophilicity of hydrochar, which allows hydrochar to disperse in the water within 0.12 s and possessed excellent dispersibility compared with pristine hydrochar (BAP) and amine-functionalized magnetic modified hydrochar (HBAP). Furthermore, the BET surface area of BAP was improved from 5.63 to 64.10 m2/g after doing MIL-53(Fe)-NH2. M-HBAP shows a strong adsorption effect on the single HMs system (52-153 mg/g), while it decreased significantly (17-62 mg/g) in the mixed HMs system due to the competitive adsorption. Cr(VI) can produce strong electrostatic interaction with M-HBAP, Pb(II) can react with CaC2O4 on the surface of M-HBAP for chemical precipitation, and other HMs can react with functional groups on the surface of M-HBAP for complexation and ion exchange. In addition, five adsorption-desorption cycle experiments and vibrating sample magnetometry (VSM) curves also proved the feasibility of the M-HBAP application.
Identification of Serum, Placental and Fetal Serum Metabolite Biomarkers for Preeclampsia Based on LC-MS
Authors: Pan Yixia , Liu Rui , Wei Chan , Li Chunfang , Tian Gaiyan , Wang Wenjuan , Ma Qiang , Wang Weimin 
Published: February 2023

Abstract
Background
Preeclampsia is a common complication of pregnancy seriously affecting the health of mothers and babies. There is no independent methods for diagnosing and monitoring preeclampsia with sufficient accuracy, specificity and sensitivity. Changes in body metabolism usually occur before the appearance of clinical symptoms of the disease. Therefore, predicting the occurrence and development of preeclampsia by detecting changes in metabolites has become a research trend in this field.
Methods
In this study, a nontargeted metabolomics approach based on liquid chromatography (LC)-mass spectrometry (MS) was used to analyze the metabolites in the serum, placenta and fetal serum samples of 6 cases of late preeclampsia patients and 6 cases of normal pregnant women. Combine multivariate and univariate statistical methods to screen the endogenous differential metabolites in each sample, and use MetaboAnalyst software to perform enrichment analysis on the metabolic pathways involved in these differential metabolites. In addition, based on a binary logistic regression model to screen biomarkers that may be used to predict preeclampsia.
Results
Compared with normal pregnant women, there were significant differences in serum, placental and fetal serum metabolic profiles of late preeclampsia patients. We found that the late preeclampsia patients mainly had metabolic abnormalities in the metabolic pathways of ALA, taurine, glycine, serine and threonine; in addition, placenta samples showed abnormalities in the metabolic pathways of linolenic acid, taurine, α-linoleic acid and other unsaturated fatty acids, which in turn caused abnormalities in the metabolic pathways of glutamine and glutamate, ALA, alanine, aspartic acid and glutamate, and other polyunsaturated fatty acids in the fetuses of these patients. Moreover, we generated the ROC curves of differential metabolites using a binary logistic regression model and selected four serum metabolites with an AUC value greater than 0.9, most of which were polyunsaturated fatty acids.
Conclusions
There are significant differences in serum, placental, and fetal serum metabolic profiles between late preeclampsia patients and normal third trimester pregnant women in this study and influence the metabolic phenotypes of offspring. This result not only provides a meaningful biomarker for the diagnosis of preeclampsia, but also provides a basis for understanding the pathogenesis of preeclampsia.
Comparison of the effects of use, protection, improper renovation and removal of asbestos products on the example of typical old office buildings
Authors: Obmiński Andrzej 
Published: February 2023

Abstract

The study focused on old building types “LIPSK” and “BERLIN”, used since the 1960s in East Europe. The different operations of buildings were analysed: protection and maintenance of asbestos products, asbestos removal and inadvertent accidental damage to asbestos as a result of building renovation. Measurements of respirable asbestos fibres were carried out using the PCOM + PLM method and SEM-EDS. In the case of the accidental destruction of products, initial contamination was ≈ 7,000 f/m3. After some weeks of extreme ventilation, contamination decreased to about 500 f/m3. At the same time, in normally used that rooms, the pollution was above 4,000 f/m3. The average increase in pollution in a dozen or so similar buildings after asbestos removal in places beyond the work zones ranged from ≈ 1,700–2,700 f/m3 and lasted for one or two years. Old buildings, not renovated and in good condition, similar as protected by ACM products, maintained contamination at < 300 f/m3 for more than 10–20 last years. Due to the easy release of asbestos that occurs with any mechanical ACM destruction, there is an increased risk of occupant exposure in all areas of the building immediately following any renovation. Their implementation may be controversial.
Auxiliary-lag Dependent Gaussian Process Model for Forecasting Rainfall Data Using Proposed Kernels and Multi-start Optimization Method
Authors: Shehzad Muhammad Ahmed , Khurram Haris , Khan Aamna , Iqbal Muhammad Mutahir 
Published: February 2023

Abstract

Pakistan is currently facing the biggest flood of history due to monsoon rains. The rainfall forecasting is very important for policy making. In this paper, we have presented an auxiliary-lag dependent Gaussian process, a Bayesian non-parametric machine learning model, for modeling the rainfall data using auxiliary lags. We have also introduced some new multifeatured kernel functions that are versatile in dealing with seasonal data. A simplex cluster-based multi-start technique using the Nelder-Mead optimizer has also been proposed for optimizing the hyperparameters of the kernel functions, which can be used for any available or proposed kernel function(s). For comparison of the proposed model, we have used the autoregressive random forest model, autoregressive artificial neural network model, seasonal autoregressive moving average models, and exponential smoothing models. Results confirmed the superiority of the proposed model over conventional models. The proposed methodology will be helpful for other researchers and local experts in making more reliable forecasting which will be helpful in policymaking relevant to agriculture systems, water management systems, climate change, and natural disasters such as droughts and floods.