bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efectos de la deficiencia de hierro en el funcionamiento intelectual
Authors: Pollitt Ernesto 
Published: September 2020

El propósito de este trabajo es el de presentar un análisis comparativo de los resultados de seis investigaciones en las cuales ha participado el autor sobre la relación entre la deficiencia de hierro y el funcionamiento intelectual. Las investigaciones fueron realizadas en Egipto, Estados Unidos, Guatemala, Indonesia y Tailandia entre niños de edad pre-escolar. La deficiencia de hierro con anemia está entre las dos deficiencias nutricionales más prevalentes en el mundo y es de esperar que su prevalencia sea alta en el Perú, particularmente entre los infantes y niños y entre las madres gestantes y lactantes. Una de las causas importantes es el limitado consumo de alimentos ricos en hierro hemínico que generalmente son muy costosos para los grupos más pobres de la sociedad. El análisis comparativo muestra que los resultados son consistentes a través de los seis estudios y que la deficiencia de hierro con anemia afecta el rendimiento en las pruebas de procesos cognoscitivos específicos y en las pruebas de rendimiento escolar. Los resultados también muestran que dichos efectos son reversibles con el tratamiento apropiado. A su vez, el análisis muestra que no hay evidencia suficiente para inferir que la deficiencia de hierro sin anemia afecta el cociente intelectual. The purpose of this paper is to present a comparative analysis of the results of six researches in which the author has participated, about the relation between iron deficiency and intellectual performance. The researches were carried out in Egypt, U.S.A., Guatemala, Indonesia and Thailand, with pre-school and school children. Iron deficiency with anemia are among the two nutritional deficiencies of major prevalence in the word and it must be expected that the same goes for Peru. One of the causes of the low consuming of food rich in iron is that these are too expensive for groups of low socioeconomic level. The comparative analysis shows consistent results in the six studies and that iron deficiency affects achievement in cognitive processes tests and academic tests. Results also show that the effects are reversible when appropriate treatment is given. At the same time, the analysis shows that there is not enough evidence to infer that iron deficiency without anemia affects the intellectual quotient.
The Pattern of Antibiotic Prescription and Antimicrobial Resistance of Gut Flora Escherichia coli at Aisyiyah Hospital, Bojonegoro
Authors: Hidayah Ana Nurlaili , Hasmono Didik , Thayyib Muqoddar , Kuntaman K 
Published: September 2020

Antimicrobial resistance (AMR) is the failure of antibiotic to kill bacteria and becomes ineffective in therapeutic purpose. The AMR bacteria is a major health problem worldwide and Indonesia is not exception. AMR is increased by two factors, higher antibiotic use and low compliance in infection control and prevention. WHO has recommended 7 bacterial indicators as point of view in surveillance, one of these bacteria is Escherichia coli. This study aimed to analyze the correlation between antibiotic use and resistance pattern of gut flora Escherichia coli. The study was conducted at Aisyiyah Hospital, Bojonegoro from June to October 2017. Total 101 patients from internal medicine and surgery department in this hospital were included in this study. Bacterial gut flora were tested against 12 antibiotics by disk diffusion test at the Department of Clinical Microbiology, Universitas Airlangga.. The results showed that the highest quantity of antibiotic use in internal medicine service was cefepime (40,50 DDD) and the highest resistance rate was ciprofloxacin, whereas in the surgical service it was ceftriaxone (132,75 DDD) with the highest E. coli resistance to amoxicillin-clavulanic acid. The antibiotics use has significant correlation against E. coli resistance on cefotaxime (p=0.046), ceftazidime (p=0.046), ceftriaxone (p=0.017), aztreonam (p=0.024), and cefepime (p=0.010).
The Role of Antiapoptotic Erythropoietin on Ultraviolet B-Induced Photodamaged Skin Through Inhibition of Sunburn Cells
Authors: Suyono Handi , Sanjaya Kristian , Susanti Deby 
Published: September 2020

Ultraviolet light causes photodamaged skin leading to photoaging skin. Ultraviolet-B (UV-B) causes epidermal keratinocyte apoptosis, namely sunburn cell, through apoptotic intrinsic pathway. Erythropoietin (EPO) has a role in cytoprotection in various tissues but its role to epidermal skin is not clear yet. This study was designed pretest-posttest control group design. Thirty two male mice Mus musculus, strain Balbc, were divided into control and treatment group, 16 mice each group. All mice were exposured by UV-B light 16mJ/cm2, distance 30 cm, duration 90 seconds, for 3 consecutive days. Four mice each group were randomly sacrificed as pretest data. The control mice were given aquadest subcutaneous injection 0.1 mL, and treatment mice were given EPO subcutaneous injection 0.1 mL (100 IU/kg BW). UVB were given everyday with same protocol above. Treatments were given 4 times, interval 3 days. All mice were sacrificed to examine sunburn cells. Data were performed as mean ± SD and analyzed by t-test using SPSS 17.0 with significant value p<0.05. Sunburn cells of pretest control were 25.00 ± 4.85% and treatment group were 24.83 ± 5.15%. Sunburn cells significantly decreased (p=0.002) in treatment group (31.5 ± 9.39%) than control (50.83 ± 6.70%). UV-B causes sunburn cells formation. EPO inhibits apoptosis through increasing NO production and eNOS expression, inhibiting caspase and proinflammatory cytokines, and increasing antiapoptotic protein. EPO has a role in skin apoptosis inhibition which is shown by decreased sunburn cells
Anterior Interosseous Nerve Syndrome Reconsidered
Authors: Krishnan Karthik R. , Sneag Darryl B. , Feinberg Joseph H. , Wolfe Scott W. 
Published: September 2020

» Anterior interosseous nerve syndrome (AINS) represents a form of neuralgic amyotrophy (Parsonage-Turner syndrome).» AINS does not originate from external compression of the AIN in the forearm.» Fascicular constrictions (FCs) of the median nerve are identified within the anterior interosseous fascicular group at or above the medial epicondyle.» Spontaneous recovery is not ensured, leaving up to 30% of patients with permanent weakness or palsy.» Fascicular microneurolysis of the median nerve, performed at or above the elbow, is a treatment option for patients who do not recover spontaneously.
Influence of Phenolic Acids on Rumen Fungi1
Authors: Akin Danny E. , Rigsby Luanne L. 
Published: September 2020

AbstractPhenolic acids are associated with forage fiber, and in the free acid state have been shown to reduce in vitro fiber digestion by rumen bacteria. The objective of the study was to test the effect of free phenolic acids on the colonization and degradation of leaf blades by rumen fungi, which have been shown to attack lignified and other tissues. Colonization of leaf blades of ‘Coastal’ bermudagrass (Cynodon dactylon L. Pers.) by fungi was studied using the light microscope and digestibility was evaluated by dry weight loss. Reduction in the amounts of phenolic acids was determined using ultraviolet spectrophotometry at wavelengths characteristic for the acids. Colonization by rumen fungal populations from a steer (Bos spp.) eating bermudagrass or alfalfa (Medicago sativa L.) was evaluated in the presence of penicillin and streptomycin to inhibit growth of rumen bacteria. The addition of 0.1% p‐coumaric, ferulic, or sinapic acid to media reduced by at least two to three times the number of sporangia developing on the cut edges of leaf blades; the reduction was greater for the alfalfa inocula. Dry weight loss of leaf blade sections in the presence of acids was 25 to 50% of that without acids, and the reduction was greater with alfalfa inocula. No major differences in sporangial numbers or dry weight loss occurred among these acids. Reduction in spectral areas at characteristic wavelengths between uninoculated and inoculated tubes was 14 to 15% for p‐coumaric and ferulic acid, but was 44% for sinapic acid. Phenolic acids similar to those in plant cell walls inhibited the development of sporangia on leaf blades and reduced fiber digestion by rumen fungi.
Withdrawal Notice: Novel Pickering Emulsion Approach to Restrain Cancer Predicament
Authors: Singh Sushil Kumar , Baghel Yudhishthir Singh , Bhattacharya Sankha 
Published: September 2020

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Dillenia Indica Fruit Extract Suppressed Diet-induced Obesity in Rats by Down-regulating the mRNA Level of Proadipogenic Transcription Factors and Lipid Metabolizing Enzymes
Authors: Kuddus Syed A. , Tasnim Zarin , Shohag Md. Hasanuzzaman , Yasmin Tahmina , Uddin Md. Sahab , Hossain Muhammad M. , Subhan Nusrat , Alam Md. Ashraful , Khan Ferdous 
Published: September 2020

Background:
Dillenia indica (Family: Dilleniaceae) is an antioxidant-rich edible fruitbearing
medicinal plant. The fruit of this plant (known as elephant apple) has many uses in traditional
medicine.

Objective:
By considering its antioxidant content and ameliorating effects, this study aimed to evaluate
the anti-adipogenic effects of D. indica fruit extract (DIFE) on high-fat diet (HFD) fed obese
rats.

Methods:
Male Wistar rats were fed with a standard diet (SD), or high-fat diet (HFD), or HFD
with 100 mg/kg or 200 mg/kg or 400 mg/kg DIFE for 8 weeks. The fruit extract was given orally
by feeding gavage. The body weight, liver weight, visceral fat weight, plasma lipids, and oxidative
stress-related parameters were measured. The mRNA level of different adipogenesis related transcription
factors, lipogenic and lipolytic enzymes was also evaluated.

Results:
Consumption of DIFE daily (400 mg/kg) for 8 weeks resulted in a significant reduction of
high-fat diet-induced body weight, liver weight, visceral fat weight, total cholesterol, and LDL-cholesterol
level. High-fat diet-mediated elevation of oxidative stress markers was also lowered,
with a parallel augmentation of the activities of antioxidant enzymes, due to 400 mg/kg DIFE feeding.
DIFE also down-regulated the mRNA level of important pro-adipogenic factors like PPARγ,
LXRα, and SREBP1c which consequently downregulated the transcript levels of lipogenic enzymes:
ACC, FAS, HMGCR, and DGAT. The transcript level of lipolytic enzyme, HSL was also
down-regulated in 400 mg/kg DIFE-fed rats.

Conclusion:
These findings indicate that the antioxidant-rich ethanolic extract of D. indica fruit
can down-regulate the gene expression of pro-adipogenic transcription factors and lipid metabolizing
enzymes and thus can suppress diet-induced obesity in Wistar rat.
Continual Cough: Experience and Lessons from a Case of Bronchial Adenoid Cystic Carcinoma
Authors: Sheng Lin , Tu Junwei , Sheng Yijun , Zhu Jingqian , Chen Huijun , Tian Jianghua , Wang Lixia , Pan Chuli 
Published: September 2020

Background:
Primary tracheal adenoid cystic carcinoma is a rare, slow-growing pulmonary malignancy. Due
to the low incidence, clinicians are poor in the diagnosis and treatment of such disease, which is prone to cause
misdiagnosis or missed diagnosis, consequently leading to delayed treatment.

Case Presentation:
Here, we reported a case of a 72-year-old woman who was diagnosed as primary bronchial adenoid
cystic carcinoma after three years. At the time of final diagnosis, lesion involvement was seen in the entire bronchus and
radical treatment was not available.

Conclusions:
Endoscopic bronchoscopy and palliative radiotherapy can relieve the symptoms of the patient and make the
patient survive with the tumor for a long time.
An Automated Model for Target Protein Prediction in PPI
Authors: Sundar G. Naveen , Narmadha D. 
Published: September 2020

Background:
Essential proteins play a crucial role in most of the living organisms. The
computer-based task of predicting essential proteins is important for target protein identification, disease
treatment and suitable drug development.

Objective:
Traditionally many experimental and centrality measures have been proposed by researchers to
predict protein essentiality.

Methods:
The prediction accuracy, sensitivity, specificity identified by the traditional methods
is very low.

Results and Discussion:
In this research work, a novel computational based approach such as NCKNN
model has been proposed to identify the essential proteins. The proposed work uses a combination
of network topology measure and machine learning model to predict the essential proteins.

Conclusion:
The proposed work shows a
remarkable improvement than seven traditional centrality based measures such as DC, BC, CC, EC, NC, ECC and SC in
terms of the metrics such as accuracy(A1), precision(P1), recall(R1), sensitivity(SE) and specificity(SP).
Research on Medical Multi-Source Data Fusion Based on Big Data
Authors: Hu ShengLi 
Published: September 2020

Objectives:
The uniform data standard system is built to realize the interconnection between the heterogenous information systems in hospitals and to solve the problem of data island.

Methods:
The establishment of the integration platform is started from the aspects such as establishment of integration platform model, design of platform architecture and data interaction process, promotion of standardization of the data format and prime index construction for patients.

Results:
The ESB (Enterprise Service Bus) and the SOA (Service Oriented Architecture) are used to achieve the medical multi-source data fusion through the integration platform with two interface methods of MQ (Message Queue) and Web Service.

Conclusion:
The intelligent decision support system established on the integration platform is used to provide powerful data support to improve data utilization, regulate medical behaviors, advance medical quality and enhance management efficiency.
Evaluation of the MoMba Live Long Remote Smoking Detection System During and After Pregnancy: Development and Usability Study
Authors: Valencia Stephanie , Callinan Laura , Shic Frederick , Smith Megan 
Published: September 2020

Background
The smoking relapse rate during the first 12 months after pregnancy is around 80% in the United States. Delivering remote smoking cessation interventions to women in the postpartum period can reduce the burden associated with frequent office visits and can enable remote communication and support. Developing reliable, remote, smoking measuring instruments is a crucial step in achieving this vision.

Objective
The study presents the evaluation of the MoMba Live Long system, a smartphone-based breath carbon monoxide (CO) meter and a custom iOS smartphone app. We report on how our smoking detection system worked in a controlled office environment and in an out-of-office environment to examine its potential to deliver a remote contingency management intervention.

Methods
In-office breath tests were completed using both the MoMba Live Long system and a commercial monitor, the piCO+ Smokerlyzer. In addition, each participant provided a urine test for smoking status validation through cotinine. We used in-office test data to verify the validity of the MoMba Live Long smoking detection system. We also collected out-of-office tests to assess how the system worked remotely and enabled user verification. Pregnant adult women in their second or third trimester participated in the study for a period of 12 weeks. This study was carried out in the United States.

Results
Analyses of in-office tests included 143 breath tests contributed from 10 participants. CO readings between the MoMba Live Long system and the piCO+ were highly correlated (r=.94). In addition, the MoMba Live Long system accurately distinguished smokers from nonsmokers with a sensitivity of 0.91 and a specificity of 0.94 when the piCO+ was used as a gold standard, and a sensitivity of 0.81 and specificity of 1.0 when cotinine in urine was used to confirm smoking status. All participants indicated that the system was easy to use.

Conclusions
Relatively inexpensive portable and internet-connected CO monitors can enable remote smoking status detection in a wide variety of nonclinical settings with reliable and valid measures comparable to a commercially available CO monitor.

Trial Registration
ClinicalTrials.gov NCT02237898; https://clinicaltrials.gov/ct2/show/NCT02237898
Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation
Authors: Jung Se Young , Jo Hyeontae , Son Hwijae , Hwang Hyung Ju 
Published: September 2020

Background
The COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend.

Objective
The aim of this study was to develop a precise spread model of COVID-19 with time-dependent parameters via deep learning to respond promptly to the dynamic situation of the outbreak and proactively minimize damage.

Methods
In this study, we investigated a mathematical model with time-dependent parameters via deep learning based on forward-inverse problems. We used data from the Korea Centers for Disease Control and Prevention (KCDC) and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University for Korea and the other countries, respectively. Because the data consist of confirmed, recovered, and deceased cases, we selected the susceptible-infected-recovered (SIR) model and found approximated solutions as well as model parameters. Specifically, we applied fully connected neural networks to the solutions and parameters and designed suitable loss functions.

Results
We developed an entirely new SIR model with time-dependent parameters via deep learning methods. Furthermore, we validated the model with the conventional Runge-Kutta fourth order model to confirm its convergent nature. In addition, we evaluated our model based on the real-world situation reported from the KCDC, the Korean government, and news media. We also crossvalidated our model using data from the CSSE for Italy, Sweden, and the United States.

Conclusions
The methodology and new model of this study could be employed for short-term prediction of COVID-19, which could help the government prepare for a new outbreak. In addition, from the perspective of measuring medical resources, our model has powerful strength because it assumes all the parameters as time-dependent, which reflects the exact status of viral spread.
Behavior Change Techniques in Wrist-Worn Wearables to Promote Physical Activity: Content Analysis
Authors: Düking Peter , Tafler Marie , Wallmann-Sperlich Birgit , Sperlich Billy , Kleih Sonja 
Published: September 2020

BackgroundDecreasing levels of physical activity (PA) increase the incidences of noncommunicable diseases, obesity, and mortality. To counteract these developments, interventions aiming to increase PA are urgently needed. Mobile health (mHealth) solutions such as wearable sensors (wearables) may assist with an improvement in PA.ObjectiveThe aim of this study is to examine which behavior change techniques (BCTs) are incorporated in currently available commercial high-end wearables that target users’ PA behavior.MethodsThe BCTs incorporated in 5 different high-end wearables (Apple Watch Series 3, Garmin Vívoactive 3, Fitbit Versa, Xiaomi Amazfit Stratos 2, and Polar M600) were assessed by 2 researchers using the BCT Taxonomy version 1 (BCTTv1). Effectiveness of the incorporated BCTs in promoting PA behavior was assessed by a content analysis of the existing literature.ResultsThe most common BCTs were goal setting (behavior), action planning, review behavior goal(s), discrepancy between current behavior and goal, feedback on behavior, self-monitoring of behavior, and biofeedback. Fitbit Versa, Garmin Vívoactive 3, Apple Watch Series 3, Polar M600, and Xiaomi Amazfit Stratos 2 incorporated 17, 16, 12, 11, and 11 BCTs, respectively, which are proven to effectively promote PA.ConclusionsWearables employ different numbers and combinations of BCTs, which might impact their effectiveness in improving PA. To promote PA by employing wearables, we encourage researchers to develop a taxonomy specifically designed to assess BCTs incorporated in wearables. We also encourage manufacturers to customize BCTs based on the targeted populations.
Dialécticas de la oportunidad. Estrategias femeninas de movilidad, cuidado y protección social entre Paraguay y Brasil
Authors: Guizardi Menara , Gonzálvez Torralbo Herminia , López Contreras Eleonora 
Published: September 2020

<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Este artículo aborda las experiencias transfronterizas de mujeres paraguayas en los territorios de la Triple-Frontera del Paraná. Partiremos de la discusión metodológica del estudio, su diseño muestral y los tres campos teóricos que lo respaldan. Posteriormente, presentaremos el contexto de la Triple-Frontera, describiendo las condiciones de vida de las mujeres paraguayas y sus posibilidades de acceso a la protección social. Abordando los resultados etnográficos, definiremos los perfiles de mujeres identificados, en particular los de aquellas que están expuestas a mayores vulneraciones. Retomaremos sus relatos para mostrar cómo la sobrecarga productiva/reproductiva impulsa sus desplazamientos fronterizos. Asimismo, discutiremos cómo la construcción de redes comunitarias de cuidado, juntamente con la búsqueda de protección social constituyen agencias femeninas transfronterizas. </span>Finalizamos explicitando cómo la frontera constituye oportunidades dialécticas para las mujeres.</p></div></div></div></div>