bluuebunny/crossref_metadata_2025 huggingface dataset:
Wave-like character of rock pressure in a longwall face
Authors:   Federal Research Center of Coal and Coal Chemistry SB RAS, Maksim V. Shinkevich
Published: January 2023

Introduction. Coal seam extraction causes rock mass displacement, which often leads to negative consequences. It is important to take into account the process patterns within the undermined rock mass to reduce the negative effect. Intensifi ed mining operations, increased lengths of faces and extraction panels, and increased per face output inevitably cause changes in all geomechanical processes in the face. Research theory. When designing and developing the working area, it is important to examine and forecast the geomechanical situation, as well as take into account the parameters and elements of the displacement processes caused by coal seam mining. The research objective is to determine the infl uence patterns in the rock seam that exerts pressure on mine support. The article presents the results of pressure area construction when mining longwall faces in gently sloping coal seams. Methods of research. Rock pressure on a power support unit was monitored based on pressure readings in the legs using Marko company data. The Surfer software product was used to build the pressure area and its profi les. The pressure area is obtained by converting the fl uid pressure in power support legs into rock pressure. The variation of the longwall support pressure during coal seam mining is shown. Results and analysis. The paper proposes an algorithm for calculating the thickness of the seam that exerts pressure on the longwall face support. The algorithm considers its wave-like changes along the length of the panel. The thickness of rocks exerting pressure on the support is up to 10 seam thicknesses. Conclusions. The height of the pressure arch generally coincides with the parameters for the disordered collapse zone. It is 4–8 times as big as the thickness of the extracted seam. The process of roof collapse and displacement a longwall face is wave-like. The height of the pressure arch can be determined using a sinusoid and the concepts of rock mass structuring according to the algorithm presented in this paper
Obtaining initial data for forecast engineering geological model construction
Authors:   Ural State Mining University, Semen Korchak
Published: January 2023

Objective and relevance. Technologies in mining and geology are intensely developing making the present research particularly relevant. The research considers the problems of obtaining reliable and high-quality data on the degree and nature of rock mass fracturing in a solid mineral deposit. These are fundamental data required to construct a forecast engineering geological model of a deposit. The engineering geological model is usually based on a structural geological model with the addition of various geomechanical parameters used in generally accepted international classifications for rock stability analysis, in particular, RMR (Bieniawski), MRMR (Laubscher), and Q-system (Barton). Methods of research. The authors describe the procedure for obtaining classification geomechanical parameters of a rock mass according to the data from oriented and non-oriented core drilling of special engineering geological (geomechanical) boreholes. Research results. The main factors and conditions for reliable data acquisition are given. Among the most important ones are: economic feasibility and validity of geomechanical boreholes drilling as well as their number; features of the geological and structural composition of a deposit as a condition for borehole location selection; proper organization of the drilling process aimed at obtaining high-quality core material; characteristics of geomechanical description of the core, depending on the rating system of rock mass classification applied. Scope of results. By way of example, deposits with different geological and structural conditions are listed where the described procedure was applied. High-quality and reliable information about the structural and tectonic features of the rock mass allows to create and fill the engineering geological model with data and solve the problems of stability analysis for almost any area of the future mine working.
Asymmetric distributions of desired component mass fraction in point samples
Authors:   Ural State Mining University, Vladimir Kozin , Aleksei Komlev ,   Ural State Mining University
Published: January 2023

Introduction. Desired component mass fraction distributions in point samples at preparation plants are asymmetric, and it is due to the natural heterogeneity of ores. The theory of mass fractions distribution asymmetry in samples. The theory is based on the lump sampling of point samples. Mass fraction distributions here consist of two differentsized fractions: valuable mineral and rock. These distributions are always asymmetric. Lump dispersion for asymmetric distributions depends on the mass fraction of the valuable mineral for both released grains and aggregates. Mass fraction distribution in point samples with poor product mass fraction is described by the Poisson formula. Materials and methods of research. Mass fraction distribution correspondence to the Poisson formula was experimentally confirmed based on an artificial rock mass represented by quartz grit with colored markers. Point samples of different mass were collected from the rock mass. Experimental estimates. The distributions obtained experimentally correspond to the distributions calculated by the Poisson formula. The paper introduces a method for experimental determination of valuable mineral average grain size and ore texture index. These values were determined for asbestos ore to exemplify the method proposed. Results discussion. Sampling standards do not consider the asymmetry of mass fraction distributions in point samples. At preparation plants the asymmetry manifests itself in hurricane samples, positive product imbalance, and divergence of double weights analysis results, that exceed the acceptable limits. The asymmetry of components mass fraction distributions in concentrates should be taken into account in sampling standards and methods, as well as at preparation plants in general.
Extension and refinement of a stochastic modelling approach to assess ice-jam flood hazard
Authors: Lindenschmidt Karl-Erich
Published: January 2023

In the spring of 2020, the town of Fort McMurray, which lies on the banks of the Athabasca River, experienced an ice-jam flood event that was the most severe in approximately 60 years. In order to capture the severity of the event, a stochastic modelling approach, previously developed by the author for ice-jam flood forecasting, has been refined for ice-jam flood hazard and risk assessments and ice-jam mitigation feasibility studies, which is the subject of this paper. Scenarios of artificial breakage demonstrate the applicability of the revised modelling framework.
Predicting time-series for water demand in the big data environment using statistical methods, machine learning and the novel analog methodology dynamic time scan forecasting
Authors: Groppo Gustavo de Souza , Costa Marcelo Azevedo , Libânio Marcelo
Published: January 2023

The specialized literature on water demand forecasting indicates that successful predicting models are based on soft computing approaches such as neural networks, fuzzy systems, evolutionary computing, support vector machines and hybrid models. However, soft computing models are extremely sensitive to sample size, with limitations for modeling extensive time-series. As an alternative, this work proposes the use of the dynamic time scan forecasting (DTSF) method to predict time-series for water demand in urban supply systems. Such a model scans a time-series looking for patterns similar to the values observed most recently. The values that precede the selected patterns are used to create the prediction using similarity functions. Compared with soft computing approaches, the DTSF method has very low computational complexity and is indicated for large time-series. Results presented here demonstrate that the proposed method provides similar or improved forecast values, compared with soft computing and statistical methods, but with lower computational cost. Thus, its use for online water demand forecasts is favored.
YF343, A Novel Histone Deacetylase Inhibitor, Combined with CQ
to Inhibit- Autophagy, Contributes to Increased Apoptosis in Triple-
Negative Breast Cancer
Authors: Liu Na , Luo Tingting , Zhang Jing , Han Li-na , Duan Wen-qi , Lu Wen-xia , Qiu Huiran , Lin Yan , Wu Yong-mei , Zhang Hua , Yang Fei-fei , Ge Di
Published: January 2023

Background:

Compounds that target tumor epigenetic events are likely to constitute
a prominent strategy for anticancer treatment. Histone deacetylase inhibitors (HDACis)
have been developed as prospective candidates in anticancer drug development,
and currently, many of them are under clinical investigation. We assessed the anticancer
efficacy of a now hydroxamate-based HDACi, YF-343, in triple-negative breast cancer
development and studied its potential mechanisms.

Methods:

YF-343 was estimated as a novel HDACi by the HDACi drug screening kit.
The biological effects of YF-343 in a panel of breast cancer cell lines were analyzed by
Western blot and flow cytometry. YF-343 exhibited notable cytotoxicity, promoted apoptosis,
and induced cell cycle arrest. Furthermore, it also induced autophagy, which plays
a pro-survival role in breast cancer cells.

Results:

The combination of YF-343 with an autophagy inhibitor chloroquine (CQ) significantly
suppressed breast tumor progression as compared to the YF-343 treatment alone
both in vitro and in vivo. Mechanistically, the molecular mechanism of YF-343 on autophagy
was elucidated by gene chip expression profiles, qPCR analysis, luciferase reporter
gene assay, chromatin immunoprecipitation assays, immunohistochemical analysis,
and other methods. E2F7, a transcription factor, promoted the expression of ATG2A
via binding to the ATG2A promoter region and then induced autophagy in triple-negative
breast cancer cells treated with YF-343.

Conclusion:

Our studies have illustrated the mechanisms for potential action of YF-343
on tumor growth in breast cancer models with pro-survival autophagy. The combination
therapy of YF-343 and CQ maybe a promising strategy for breast cancer therapy.
NLS-3 (Levophacetoperane or (R,R) Phacetoperane): A Reverse Ester
of Methylphenidate: A Literature Review
Authors: Konofal Eric , Lecendreux Michel , Bizot Jean-Charles , Lormier Anh-Tuan , Figadère Bruno
Published: January 2023

Background: NLS-3 or (R, R) enantiomer of phacetoperane (levophacetoperane)
is the reverse ester of methylphenidate, a well-documented psychostimulant marketed
for the treatment of attention-deficit/hyperactivity disorder (ADHD) since the end of
1950s. Launched in Canada and Europe by Specia Rhône-Poulenc and Rhodia, marketed
as Lidepran® (8228 R.P.), for the treatment of obesity and depression, phacetoperane became
an increasingly popular psychiatric medication from 1959 to 1967. Previous data
supported that the stimulant effect of phacetoperane differed from those of other medications
acting on the catecholamine system (e.g., methylphenidate, amphetamine), with an
advantage of benefit/risk balance. Method: The goal of this study is to characterize the
binding profile of NLS-3 using in vitro and in vivo assays and hypothesize potential therapeutic
uses considering all available data. Results: A complete binding profile assay confirmed
the potential benefit of phacetoperane with a higher benefit/risk compared to
other stimulants. NLS-3 synthesis resulted from phenylketone, which is also used for the
synthesis of methylphenidate. It differs from that used by Rhône-Poulenc SA laboratories,
allowing the possibility of individualizing several enantiomers not synthesized previously.
The present review also confirmed extensive clinical use of the compound in almost
one thousand children and adolescents in large dose ranges with fewer side effects
versus comparative treatments. Furthermore, levophacetoperane was found to be generally
well-tolerated by the subjects. Conclusion: NLS-3 could be a safer and more potent alternative
to stimulants for patients with ADHD.
Pyrrolidine Dithiocarbamate Enhances the Cytotoxic Effect of Arsenic
Trioxide on Acute Promyelocytic Leukemia Cells
Authors: Yu Simin , Ge Zhuowang , Chen Weixiang , Han Jinbin
Published: January 2023

Background:

More than 95% patients with acute promyelocytic leukemia (APL) carry
the PML-RARα fusion oncoprotein. Arsenic trioxide (ATO) is an efficacious therapeutic agent for
APL, and the mechanism involves the binding with PML and degradation of PML-RARα protein.
Pyrrolidine dithiocarbamate (PDTC) demonstrates the function of facilitating the cytotoxic effect
of ATO.

Purpose:

To investigate whether PDTC is potential to enhance the cytotoxic effect of ATO to APL
cells by acting on PML-RARα oncoproteins.

Methods:

Inhibitory effects of drugs on cell viability were examined by CCK-8 test, and apoptosis
was evaluated by flow cytometry. Western blotting and immunofluorescence assays were used to
explore the mechanism

Results:

PDTC improved the effect of ATO on inhibiting proliferation of NB4 cells in vitro. Further,
PDTC-ATO promoted apoptosis and cell cycle arrest in NB4 cells. The expression of caspase-
3 and Bcl-2 was reduced in PDTC-ATO-treated NB4 cells, while cleaved caspase-3 and Bax
was up-regulated. Furthermore, less PML-RARα expression were found in PDTC-ATO-treated
NB4 cells than that in NB4 cells treated with ATO singly. Laser confocal microscopy showed that
protein colocalization of PML and RARα was disrupted more significantly by PDTC-ATO treatment
than that with ATO monotherapy.

Conclusions:

In conclusion, PDTC enhanced the cytotoxic effect of ATO on APL, and the mechanism
was, at least in part, related to the promotion of ATO-induced degradation of PML-RARα fusion
protein via forming a complex PDTC-ATO.
Electrochemical Biosensors for Monitoring of Drug-DNA Interactions
Authors: Congur Gulsah
Published: January 2023

The binding of the therapeutic agents to the nucleic acids is one of the paramount issues in the drug development area that is studied by various techniques. Electrochemical studies have a big portion in this area due to the fact that they allow designing of novel monitoring systems that have superior properties such as being feasible and sustainable. These electrochemical monitoring tools analyze these interactions in in vitro conditions and give the results precisely and rapidly. In the scope of this manuscript, the electrochemical monitoring platforms developed for the determination of DNA-drug interactions were under the spotlight. The electrode types mostly used for the electrochemical monitoring of drug-DNA interactions were described. The binding mechanisms of the drugs to the DNA structure were explained, and the evaluation strategies of the interactions using electrochemical techniques were stated. Most of the reports of the last 25 years were given, and some of the electrochemical biosensor applications including both voltammetric and impedimetric studies were explained in detail. Furthermore, it is possible to reach nanomaterials/biomaterials-based biosensor platforms for the monitoring of DNA-drug interactions, and these applications were in the scope of this manuscript. The future aspects of these areas were also stated.
Risk Assessment of Esophageal Cancer Prevalence in North East India
Authors: Padma V. Vijaya , Saikia Surovi , Prajapati Bhupendra , Bhattacharya Sankha
Published: January 2023

Background:

The North East (NE) India region has a quite distinct gene pool with over
160 scheduled tribes and 400 other sub-tribal populations. This region is the fourth contributor to the
gene pool of the Indian sub-continent, which has associations with Tibeto-Burman speakers and
Austro-Asiatic speakers settled in East and NE-India with Asian ties.

Methods:

Literature search and studies have shown that in India, notwithstanding the lack of data on
population coverage, there exists no such evidence for a decline in age-standardized mortality rates
in cancer and the number of deaths mostly in individuals less than 70 years.

Results:

Analytical epidemiological studies using molecular markers are currently the need of NEIndia
for prognostication of cancers in this region, which are quite different from the rest of India,
such as esophageal cancer, lung cancer in females, stomach cancer, and nasopharyngeal cancers. In
addition, there is a dire need for translational research in NE-India, as for cancer survival, it is not
always feasible to generalize the current international guidelines for cancer to the population of NEIndia
so that high survival rates are achieved just like the rest of India and high-income rich countries.
Factors, such as difference in incidence rate, socioeconomic factors, tumor biology and availability
of resource in this region, determine the survival rates.

Conclusion:

In this review, various factors involved in the high cancer burden in this region are discussed,
particularly focusing on the genetic basis.
Cosmetics Use and Mammographic Breast Density (MBD) in Iranian
Women: A Cross-Sectional Study
Authors: Eslami Bita , Alipour Sadaf , Omranipour Ramesh , Aryan Arvin , Bayani Leila , Abedi Mahboubeh
Published: January 2023

Background:

Since breast cancer is increasing worldwide and previous risk factors cannot
justify such an increasing trend, investigating new environmental factors is necessary for each population.
Mammographic breast density (MBD) is a strong risk factor for breast cancer as well as a biomarker
for the effect of chemicals on breast tissue.

Objective:

Given limited data about the association between breast density and cosmetic products containing
endocrine-disrupting chemicals (EDCs), the purpose of this study was to evaluate the effects of
cosmetic products on MBD in Iranian women.

Methods:

In this cross-sectional study, women who attended two university hospitals for breast
screening mammography and who had been living in the capital city of Iran for the last 3 years or
more were recruited. We asked women to fill out a questionnaire containing two parts; the first part
was about the women's characteristics and medical history and the second part consisted of cosmetic
use. The frequency of cosmetic use was measured using the Likert scale in four scales. One expert radiologist
in each center reported the MBD on a four-category scale.

Results:

The mean age of 813 participants was 50.16 ± 7.65. Three hundred-seven (37.8%) women
had low breast density and 506 (62.2%) had high breast density. Based on our results, heavy use of
moisturizers, sunscreen, nail polish, eye products, makeup products, and lipstick was associated with
increased breast density. In multivariable analysis after adjusting for menopause, excessive use of nail
polish, sunscreen, and moisturizing cream was associated with increased MBD.

Conclusion:

Our study shows a probability of an increased MBD with the excessive use of cosmetic
products. Since a small increase in the risk of breast cancer may lead to a considerable public health
impact, thus further studies are needed to find new prevention strategies.
Research on Segmentation Technology in Lung Cancer Radiotherapy
Based on Deep Learning
Authors: Huang Jun , Liu Tao , Qian Beibei , Chen Zhibo , Wang Ya
Published: January 2023

Background:

Lung cancer has the highest mortality rate among cancers. Radiation therapy
(RT) is one of the most effective therapies for lung cancer. The correct segmentation of lung tumors
(LTs) and organs at risk (OARs) is the cornerstone of successful RT.

Methods:

We searched four databases for relevant material published in the last 10 years: Web of Science,
PubMed, Science Direct, and Google Scholar. The advancement of deep learning-based segmentation
technology for lung cancer radiotherapy (DSLC) research was examined from the perspectives
of LTs and OARs.

Results:

In this paper, Most of the dice similarity coefficient (DSC) values of LT segmentation in the
surveyed literature were above 0.7, whereas the DSC indicators of OAR segmentation were all over
0.8.

Conclusion:

The contribution of this review is to summarize DSLC research methods and the issues
that DSLC faces are discussed, as well as possible viable solutions. The purpose of this review is to
encourage collaboration among experts in lung cancer radiotherapy and DL and to promote more research
into the use of DL in lung cancer radiotherapy.
Mechanisms of Cancer-killing by Quercetin; A Review on Cell Death Mechanisms
Authors: Wang Hehua , Dong Ziyu , Liu Jinhai , Zhu Zhaoyu , Najafi Masoud
Published: January 2023

Cancer drug resistance has always been a serious issue regarding cancer research and therapy. Different
cancers undergo different mutations, which may cause suppression of tumor suppressor genes, inhibition of apoptosis,
stimulation of drug resistance mediators, and exhaustion of the immune system. The modulation of pro-death and
survival-related mediators is an intriguing strategy for cancer therapy. Several nature-derived molecules, e.g., quercetin,
have shown interesting properties against cancer through the modulation of apoptosis and autophagy mediators.
Such molecules, e.g., quercetin, have been shown to stimulate apoptosis and other types of cell death pathways in
cancers via the modulation of ROS metabolism. Quercetin may affect immune system function and trigger the expression
and activity of tumor suppressor genes. Furthermore, it may suppress certain multidrug resistance mechanisms in
cancer cells. This paper aims to review the effects of quercetin on various cell death mechanisms such as apoptosis,
autophagic cell death, senescence, ferroptosis, and others.
The Impact of COVID-19 Pandemic on the Levels of Physical Activity: A Systematic Review
Authors: Mehraeen Esmaeil , Karimi Amirali , Mirghaderi Peyman , Mirzapour Pegah , Pashaei Zahra , Qaderi Kowsar , Afsahi Amir Masoud , Barzegary Alireza , Mohammadi Parsa , Shojaei Alireza , Saeidi Solmaz , Afroughi Fatemeh , MohsseniPour Mehrzad , Janfaza Nazanin , Dadras Omid , Amiri Ava , Azad Kimia , SeyedAlinaghi SeyedAhmad , Tantuoyir Marcarious Moorkereh , Voltarelli Fabricio
Published: January 2023

Introduction:

Earlier studies demonstrated a decreased level of physical activity (PA) during the COVID-19 pandemic. Therefore, we aimed to systematically review the relevant studies among various age groups and explore the impact on physical and mental health.

Methods:

We searched and retrieved all relevant articles using the keywords on the online databases of PubMed, Scopus, and Cochrane from the start of the pandemic until May 3rd, 2021. A two-phase screening process of identified records was carried out to shortlist the most relevant studies. First, the studies were evaluated based on their title/abstract, and then the full-text of included studies was thoroughly read. The eligible studies based on the eligibility criteria were included in this review.

Results:

A total of 57 studies were included based on the eligibility criteria. Lockdowns and infection with SARS-CoV-2 have led to a decreased level of PA in the general population compared to the prepandemic era. Men had significantly less PA compared to women in some studies, probably due to higher pre-pandemic PA. The level of PA among those with chronic diseases also significantly diminished, putting them at a higher risk of cardiovascular incidents. Sedentary lifestyles have dominated people’s life, including adolescents and university students. The increased levels of mental health issues, such as depression, anxiety, and occupational stress, have been suggested to contribute to the decreased PA. On the other hand, the decreased PA appeared to lead to more mental health issues. Fortunately, the decreasing trend of PA seemed to taper towards the end of the quarantines.

Conclusion:

Overall, the COVID-19 pandemic and subsequent quarantines reduced PA among all age groups and both sexes and had detrimental effects on people's physical and mental health. We suggest countries implement strategies to alleviate restrictions and encourage people to exercise in safe environments and prepare healthy routines for themselves.
Mechanisms Contributing to Acquired Activated Protein C Resistance in
Patients Treated with Thalidomide: A Molecular Dynamics Study
Authors: Maximiliano Correa Lara , Jaime García Chavez , Armando Vega Lopez , Vega Israel Lara , Victoria Hernandez Gonzalez , Erika Martinez Hernandez
Published: January 2023

Introduction:

There is a high incidence of venous thromboembolism (VTE) in patients with Multiple Myeloma (MM), however; until now, the exact mechanisms behind VTE in MM are unknown, and some of the elements that may play a significant role are the treatment with an immunomodulator (IMiD) and acquired resistance to activated protein C (APC).

Objective:

The study aims to reveal the possible mechanisms linked to the reduced antithrombotic activity of APC associated with thalidomide.

Methods:

The molecular docking approach was used to ascertain the in silico inhibitory potential of thalidomide on the APC protease domain in the architecture of the catalytic triad and its interaction with major substrate binding sites.

Results:

The coupling showed that the inhibitory activity of thalidomide depends on the induction of structural changes in the protease domain of APC, at the level of the Ser/His/Asp catalytic triad, as a result of a significant increase between the distances of CαAsp102 and Cα Ser195 (11.175 angstroms, increase 14.83%) and between CαSer195 and CαHis57 (9.478 angstroms, increase 13.78 %). This can result in an inefficient transfer of the proton between these residues, the other possible mechanism of inhibition, is a potential reduced binding of the substrate as a result of a direct interaction through a carbon-hydrogen bond on His57, an H-bond on Arg306, and a carbon hydrogen bond on Arg506.

Conclusion:

We demonstrate the in silico inhibitory potential of thalidomide on APC, through two possible inhibition mechanisms, a pathophysiologically relevant finding to understand the factors that can affect the stability and functions of APC in vivo.
Comparative Assessment of Seasonal Variations in the Quality of Surface Water and Its Associated Health Hazards in Gold Mining Areas of Osun State, South-West Nigeria
Authors: Awogbami Stephen Olalekan , Solomon Olayinka Adewoye , Sawyerr Henry Olawale , Raimi Morufu Olalekan
Published: January 2023

Industrial and urban development are contributing to an increase in global environmental degradation. Therefore, the release of heavy metals from mining-related operations into surface water is harmful to human health. But as anthropogenic influences on the environment grow, surface water characteristics are also alter, impacting aquatic creatures. In order to analyze the acceptability of the surface water in the gold mining area for drinking and irrigation uses, different quality water assessment methodologies were incorporated in this research. In light of this, the purpose of the current study is to comprehend how the hydrogeochemistry and appropriateness of surface water for drinking and irrigation vary every month. The study employed standardized analytical techniques. According to APHA recommendations, all sampling, conservation, transportation, and analysis were completed (2012). All collected samples were transported to the study lab while being kept in an icebox to prevent the degradation of the organic components. As a result, the study is focused on the contamination level in the surface water for a year. Overall, the study highlights important pollutants impacting surface water quality as it passes through Osun State's gold mining regions. Finally, it has been determined that the following criteria are crucial for the stretch of this research season: DO, Hardness, Turbidity, Chloride, Potassium, Nitrate, Lead, TSS, Cadmium, Chromium, Sulphate, Manganese, Mercury, and Arsenic. Most of the physicochemical variables examined in this study fell within their corresponding standard limits. Based on the results of this study, the appropriate constituted authority is encouraged to continuously monitor and assess surface water quality suitability for drinking, domestic, and irrigation purposes by keeping track of the effects of water contaminants and detecting any changes in the water quality. To safeguard and maintain groundwater quality and public health, it is advised that appropriate regulatory policies and water treatment procedures be employed in the area. Additionally, it is proposed that when enhancing water quality and investigating the sustainable use of water resources, surface water pollution should be taken into consideration.
Manejo integrado de plagas biodiversidad benéfica
Authors:   Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, Barreto Triana Nancy del Carmen
Published: January 2023

En este Video se habla de cómo el manejo integrado de plagas es una herramienta de prevención de los problemas para un uso racional del Agroinsumo.
¿Cómo mantener las condiciones del invernadero?
Authors:   Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, Dominguez Pulgarin Cristian
Published: January 2023

Mantener las condiciones adecuadas de un invernadero es muy importante para la productividad de un cultivo, el investigador de AGROSAVIA Cristian Dominguez, nos da tips para poderlo implementar.
Effectiveness of Remote Fetal Monitoring on Maternal-Fetal Outcomes: Systematic Review and Meta-Analysis
Authors: Li Suya , Yang Qing , Niu Shuya , Liu Yu
Published: January 2023

Background

To solve the disadvantages of traditional fetal monitoring such as time-consuming, cumbersome steps and low coverage, it is paramount to develop remote fetal monitoring. Remote fetal monitoring expands time and space, which is expected to popularize fetal monitoring in remote areas with the low availability of health services. Pregnant women can transmit fetal monitoring data from remote monitoring terminals to the central monitoring station so that doctors can interpret it remotely and detect fetal hypoxia in time. Fetal monitoring involving remote technology has also been carried out, but with some conflicting results.

Objective

The review aimed to (1) examine the efficacy of remote fetal monitoring in improving maternal-fetal outcomes and (2) identify research gaps in the field to make recommendations for future research.

Methods

We did a systematic literature search with PubMed, Cochrane Library, Web of Science, Embase, MEDLINE, CINAHL, ProQuest Dissertations and Theses Global, ClinicalTrials.gov, and Open Grey in March 2022. Randomized controlled trials or quasi-experimental trials of remote fetal monitoring were identified. Two reviewers independently searched articles, extracted data, and assessed each study. Primary outcomes (maternal-fetal outcomes) and secondary outcomes (health care usage) were presented as relative risks or mean difference. The review was registered on PROSPERO as CRD42020165038.

Results

Of the 9337 retrieved literature, 9 studies were included in the systematic review and meta-analysis (n=1128). Compared with a control group, remote fetal monitoring reduced the risk of neonatal asphyxia (risk ratio 0.66, 95% CI 0.45-0.97; P=.04), with a low heterogeneity of 24%. Other maternal-fetal outcomes did not differ significantly between remote fetal monitoring and routine fetal monitoring, such as cesarean section (P=.21; I2=0%), induced labor (P=.50; I2=0%), instrumental vaginal birth (P=.45; I2=0%), spontaneous delivery (P=.85; I2=0%), gestational weeks at delivery (P=.35; I2=0%), premature delivery (P=.47; I2=0%), and low birth weight (P=.71; I2=0%). Only 2 studies performed a cost analysis, stating that remote fetal monitoring can contribute to reductions in health care costs when compared with conventional care. In addition, remote fetal monitoring might affect the number of visits and duration in the hospital, but it was not possible to draw definite conclusions about the effects due to the limited number of studies.

Conclusions

Remote fetal monitoring seems to reduce the incidence of neonatal asphyxia and health care costs compared with routine fetal monitoring. To strengthen the claims on the efficacy of remote fetal monitoring, further well-designed studies are necessary, especially in high-risk pregnant women, such as pregnant women with diabetes, pregnant women with hypertension, and so forth.
Effectiveness of mHealth on Adherence to Antiretroviral Therapy in Patients Living With HIV: Meta-analysis of Randomized Controlled Trials
Authors: Sun Liang , Qu Mengbing , Chen Bing , Li Chuancang , Fan Haohao , Zhao Yang
Published: January 2023

Background

The World Health Organization recommends that all adults with HIV adhere to antiretroviral therapy (ART). Good adherence to ART is beneficial to patients and the public. Furthermore, mHealth has shown promise in improving HIV medication adherence globally.

Objective

The aim of this meta-analysis is to analyze the effectiveness of mHealth on adherence to antiretroviral therapy in patients living with HIV.

Methods

Randomized controlled trials (RCTs) of the association between mHealth and adherence to ART published until December 2021 were searched in electronic databases. Odds ratios (ORs), weighted mean differences, and 95% CIs were calculated. This meta-analysis was performed using the Mantel-Haenszel method or the inverse variance test. We evaluated heterogeneity with the I2 statistic. If I2 was ≤50%, heterogeneity was absent, and a fixed effect model was used. If I2 was >50%, heterogeneity was present, and a random effects model was used.

Results

A total of 2163 participants in 8 studies were included in this meta-analysis. All included studies were RCTs. The random effects model was used for a meta-analysis of the effects of various intervention measures compared to routine nursing; the outcome was not statistically significant (OR 1.54, 95% CI 0.99-2.38; P=.05). In the subgroups, only short messaging service (SMS)-based interventions significantly increased adherence to ART (OR 1.76, 95% CI 1.07-2.89; P=.03). Further analysis showed that only interactive or bidirectional SMS could significantly increase ART adherence (OR 1.69, 95% CI 1.22-2.34; P=.001). After combining the difference in CD4 cell count before and after the interventions, we concluded that there was no statistical heterogeneity among the studies (I2=0%; tau2=0.37; P=.95).

Conclusions

Interactive or bidirectional SMS can enhance intervention effects. However, whether mHealth can improve adherence to ART in patients with HIV needs further study. Owing to a lack of the required significant staff time, training, and ongoing supervision, there is still much more to do to apply mHealth to the clinical use of ART for patients living with HIV.

Trial Registration

PROSPERO CRD42022358774; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=358774
Parent Experiences of Child Loss and End-of-Life Care in a Pediatric Intensive Care Unit: Protocol for a Qualitative Study
Authors: Alcón Nájera Sara , González-Gil Maria Teresa
Published: January 2023

Background

Death of a child in the pediatric intensive care unit is a rare event that can occur after failed cardiopulmonary resuscitation efforts, after a brain death diagnosis, or after a decision to limit therapeutic efforts. Nevertheless, even in the case of children with terminal and progressive illnesses, death is a crisis that comes as a surprise to parents and is perceived as unexpected. In the final stage of a child’s life, health care staff play a key role in sharing feelings and experiences with the family and in supporting them throughout the process in order to facilitate the grieving process.

Objective

The aim of this study is to explore the experiences of parents whose children have died in a pediatric intensive care unit.

Methods

To address the study aims, a qualitative phenomenological study based on the van Manen proposal will be carried out. The study will be conducted in the pediatric intensive care unit of a tertiary care hospital. The study population will be parents or guardians (older than 18 years) of children who have died in the unit at least 6 months prior to potential participation in the study. Purposive sampling will be used to ensure sample diversity in relation to experiential variables. Families will be initially contacted by letter sent alongside the standard letter of condolences from the hospital, and then recruited in a subsequent telephone call. The sample size will be determined by data saturation. In-depth interviews will be conducted individually or in pairs. Parents will decide when, how, and where to conduct the interviews, which will be transcribed verbatim and examined using thematic discourse analysis.

Results

This study was awarded a grant in December 2020 and was approved by the Medical and Health Research Ethics Committee on December 21, 2020. Data collection started in April 2021, and the results are expected to be published in 2023.

Conclusions

This project is intended to maintain, strengthen, and build on a particular line of research on end-of-life care with a focus on effective coping, spiritual well-being, and the adaptive grieving process. The results will contribute to establishing action guidelines that are both based on the discourses of parents who have experienced the death of a child and geared toward high-quality end-of-life care through dignified death and adaptive grief management.

International Registered Report Identifier (IRRID)

DERR1-10.2196/43756
An ontology based approach to improve medication appropriateness in older patients (Preprint)
Authors: Calvo-Cidoncha Elena , Verdinelli Julián Pedro , González-Bueno Javier , López-Soto Alfonso , Camacho-Hernando Concepción , Pastor-Duran Xavier , Codina-Jané Carles , Lozano-Rubí Raimundo
Published: January 2023

BACKGROUND

Inappropriate medication in older patients with multimorbidity leads to a greater risk of adverse drug events. Clinical decision support systems (CDSS) are intended to improve medication appropriateness. One approach to improve CDSS is to use ontologies instead of relational databases. Previously, we developed OntoPharma, an ontology based CDSS to reduce medication prescribing errors.

OBJECTIVE

The primary aim was to model a domain to improve medication appropriateness in older patients (chronic patient domain). The secondary aim was to implement OntoPharma containing chronic patient domain in a hospital setting.

METHODS

A four-step process was proposed. 1) Defining the domain scope. Chronic patient domain focused on improving medication appropriateness in older patients. A group of experts selected three uses cases: medication regimen complexity; anticholinergic and/or sedative drug burden, and presence of triggers to identify possible adverse events. 2) Domain model representation. The implementation was conducted by Medical Informatics specialists and Clinical Pharmacists using Protégé-OWL. 3) OntoPharma-driven alert module adaptation. We reused the existing framework based on SPARQL to query ontologies. 4) Implementing OntoPharma containing the chronic patient domain in a hospital setting. Alerts generated between July to September 2022 were analysed.

RESULTS

We proposed six new classes and five new properties introducing the necessary changes in the ontologies previously created. An alert is shown if: Medication Regimen Complexity Index ≥40 and/or Drug Burden Index ≥1 and/or there is a trigger based on abnormal laboratory value. 364 alerts were generated in 107 patients. 154 (42.3%) alerts were accepted.

CONCLUSIONS

We propose an ontology-based approach to provide support for improving medication appropriateness in older patients with multimorbidity in a scalable, sustainable, and reusable way. The chronic-patient domain was built on our previous research reusing the existing framework. OntoPharma is implemented in clinical practice and generates alerts considering the following use cases: medication regimen complexity; anticholinergic and/or sedative drug burden and presence of triggers to identify possible adverse events.

CLINICALTRIAL

Not applicable
Co-designing an Active after Stroke behavioral Intervention (Preprint)
Authors: Wittink Harriet , van Gessel Christa , Outermans Jacqueline , Blatter Tim , Punt Michiel , van der Lugt Remko
Published: January 2023

BACKGROUND

There is a lack of effective interventions to maintain gains made in gait performance after Task Oriented Circuit training for stroke survivors. Participatory design methods, such as co-design, might be helpful in developing interventions and tools for facilitating physio-and exercise therapists in supporting an active lifestyle, defined as walking behavior, in stroke survivors.

OBJECTIVE

To develop an intervention that supports an active lifestyle in stroke survivors

METHODS

A multidisciplinary team consisting of staff members of the Royal Dutch Society for Physical Therapy, kinetic – and physiotherapists, specialized in neuro rehabilitation and conducting Task Oriented Circuit Class training in primary care settings or day therapy centers within residential care facilities, stroke survivors and their carers, experts on measuring movement behavior in stroke survivors, a company specialised in manufacturing sensors and related software, behavioural change specialists, and co-designers collaborated together in a co-design process using the 4 phases (discover, define, develop and deliver) of the design process.

RESULTS

In the design process, the team iteratively developed a prototype accelerometer system for measuring walking behavior with a feedback function for stroke survivors and their therapists and a prototype toolbox for therapists to support facilitating behavioral change in their stroke survivors.

CONCLUSIONS

this study shows how co-design can be applied to develop interventions for stroke survivors. The prototype system for measuring walking behavior and the toolbox both incorporate behavioral change techniques to support a more physically active lifestyle in stroke survivors. Further research should investigate the feasibility of the intervention.

CLINICALTRIAL

Not applicable
Obstacles to Health Big Data Utilization Based on the Perceptions and Demands of Health Care Workers in South Korea: Web-Based Survey Study (Preprint)
Authors: Lee Yoon Heui , Jang Yu-Jin , Lee Soo-Kyoung
Published: January 2023

BACKGROUND

This study focuses on the potential of health big data in the South Korean context. Despite huge data reserves and pan-government efforts to increase data use, the utilization is limited to public interest research centered in public institutions that have data. To increase the use of health big data, it is necessary to identify and develop measures to meet the various demands for such data from individuals, private companies, and research institutes.

OBJECTIVE

The aim of this study was to identify the perceptions of and demands for health big data analysis and use among workers in health care–related occupations and to clarify the obstacles to the use of health big data.

METHODS

From May 8 to May 18, 2022, we conducted a web-based survey among 390 health care–related workers in South Korea. We used Fisher exact test and analysis of variance to estimate the differences among occupations. We expressed the analysis results by item in frequency and percentage and expressed the difficulties in analyzing health big data by mean and standard deviation.

RESULTS

The respondents who revealed the need to use health big data in health care work–related fields accounted for 86.4% (337/390); 65.6% (256/390) of the respondents had never used health big data. The lack of awareness about the source of the desired data was the most cited reason for nonuse by 39.6% (153/386) of the respondents. The most cited obstacle to using health big data by the respondents was the difficulty in data integration and expression unit matching, followed by missing value processing and noise removal. Thus, the respondents experienced the greatest difficulty in the data preprocessing stage during the health big data analysis process, regardless of occupation. Approximately 91.8% (358/390) of the participants responded that they were willing to use the system if a system supporting big data analysis was developed. As suggestions for the specific necessary support system, the reporting and provision of appropriate data and expert advice on questions arising during the overall process of big data analysis were mentioned.

CONCLUSIONS

Our findings indicate respondents’ high awareness of and demand for health big data. Our findings also reveal the low utilization of health big data and the need to support health care workers in their analysis and use of such data. Hence, we recommend the development of a customized support system that meets the specific requirements of big data analysis by users such as individuals, nongovernmental agencies, and academia. Our study is significant because it identified important but overlooked failure factors. Thus, it is necessary to prepare practical measures to increase the utilization of health big data in the future.
Numerical Heat Transfer Analysis of Ag-Doped- CuO Nanofluids in Radiator with UDF codes in Ansys fluent
Authors: Prabu M , Kulandaivel D. , Ramesh K. , Babu M. Shoban
Published: January 2023

Abstract: A nanofluid is a fluid that accommodates nanometer-sized particles (10–9 ), called nanoparticles. These fluids implement a colloidal suspension of nanoparticles in a base fluid. The nanoparticles used in nanofluids are frequently made of metals, oxides, carbides, or carbon nanotubes. Usual base fluids include water, ethylene glycol, and engine oil. In this program, silver-doped copper oxide is used as nanoparticles. This nanoparticle has been prepared by the green synthesis method. The radiator's job is to eliminate heat from the engine. The effect of using nanofluids in a vehicle radiator was investigated. Increasing the nanoparticle volume concentration leads to improved heat transfer. The radiator size using nanofluids is revised to lose the same heat as water. The simplest option is to treat the nanofluid as a fluid with changed properties. Then, all that is needed is to recalculate the fluid properties and use any CFD software to simulate flow and heat transfer. And writing a UserDefined Function (UDF) for CFD Modeling Using a C programme or a C function that can be dynamically loaded with ANSYS Fluent to enhance its standard features