bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Medium for Bioconversion Extruded Apple Pomace into Microbial Protein
Authors: Yang Zhe , Zhang Min , Jiang Lijun , Suo Wenjing , Deng Yuxin , Zhang Haijing , Guo Peng , Li Hongjun 
Published: June 2021

Abstract
The medium compositions such as carbon and nitrogen sources, moisture content and inorganic salt affected the microbial protein (MP) production. Imbalance of carbon-nitrogen ratio in apple pomace (AP) limited the microbial utilization. Hence, those conditions must be optimized to achieve maximum MP. In this work, AP was pretreated by extrusion technology to obtain extruded apple pomace (EAP). Subsequently, the medium compositions were optimized using Plackett-Burman design (PBD) and Box-Behnken design (BBD). PBD determined four significant factors (bran, glucose, packing quantity (PQ), water to material ratio (W/M)) out of the eight variables. The BBD results showed that optimal true protein content (10.42%), effective viable count (1.94×109 CFU/g) and crude protein content (18.73%) were achieved at bran 16.22%, glucose 8.09%, PQ 9.88 g and W/M 1.56. Compared with AP, the true protein and crude protein content of optimal fermented EAP (FEAP) were increased by 152% and 216%, respectively. According to fluorescence microscopy, the cellulose of AP was little effected by extrusion technology while was mostly degraded by mixed strains (Aspergillus niger, Candida utilis, Geotrichum candidum and Lactic acid bacteria). Combination of extrusion and fermentation, the medium compositions were optimized to promote the bioconversion of AP into MP feed.
Identifying The Most Important Workplace Factors in Predicting Mental Health Among British Columbia Nurses Using Machine Learning Techniques
Authors: Havaei Farinaz , Ji Xuejun , MacPhee Maura , Straight Heather 
Published: June 2021

Abstract
Objectives

Nurses are at a high risk of developing mental health problems due to exposure to work environment risk factors. Previous research in this area has only examined a few factors within nurses’ work environments, and those factors were not conceptualized with the goal of improving workplace mental health. The purpose of this study is to identify the most important work environment predictors of nurse mental health using a comprehensive and theoretically grounded measure based on the National Standard of Psychological Health and Safety in the Workplace.
Methods

This is an exploratory cross-sectional survey study of nurses in British Columbia, Canada. For this study, responses from a convenience sample of 4,029 actively working direct care nurses were analyzed using random forest regression methods. Key predictors include 13 work environment factors. Study outcomes include depression, anxiety, post-traumatic stress disorder (PTSD), burnout and life satisfaction.
Results

Overall, healthier reports of work environment conditions were associated with better nurse mental health. More specifically balance, psychological protection and workload management were the most important predictors of depression, anxiety, PTSD and emotional exhaustion. While engagement, workload management, psychological protection and balance were the most important predictors of depersonalization, engagement was the most important predictor of personal accomplishment. Balance, psychological protection and engagement were the most important predictors of life satisfaction.
Conclusions

Routine assessment with standardized tools of nurses’ work environment conditions and mental health is an important, evidence-based organizational intervention. This study suggests nurses’ mental health is particularly influenced by worklife balance, psychological protection and workload management.
Potential Characteristics for Prediction of the Efficacy of Non-Steroid Anti-Inflammatory Drugs for Migraine Treatment: A Retrospective Cohort Study
Authors: Wei Heng-Le , Wang Jin-Jin , Zhou Gang-Ping , Yu Yu-Sheng , Zhang Hong 
Published: June 2021

Abstract
Background: Although several special medications for migraine are currently available, non-steroid anti-inflammatory drugs (NSAIDs) are still the first-line pharmacological option. A considerable proportion of migraineurs still be unresponsive to NSAIDs for reasons that remain unknown. The study aimed to develop significant characteristics to predict the efficacy of NSAIDs for patients with migraine. Methods: In this retrospective study, 567 patients suffering migraine were included and divided into an effective NSAIDs (M-eNSAIDs) group and a noneffective NSAIDs (M-neNSAIDs) group according to the analgesic efficacy at 2 hours after taking NSAIDs. Clinical and neuropsychiatric characteristics were collected and used to build a logistic regression model. And a receiver operating characteristic (ROC) curve was drawn to represent the prediction capability.Results: Five predictors including education, attack duration, headache impact intensity, anxiety and depression scores were identified to build the logistic regression modal. The area under the curve (AUC) values of each predictor were 0.706, 0.639, 0.560, 0.683 and 0.632, respectively, failing to predict the efficacy of NSAIDs. All five predictors-combined method achieved an acceptable AUC value of 0.834 and a sensitivity of 90.9%.Conclusions: Despite the insufficient predictive capability of these predictors when analyzed individually, this study developed an effective and convenient method to accurately predict the efficacy of NSAIDs, which would be helpful for developing individualized therapeutic strategies for treatment of migraine.
Bioethanol Production from Miscanthus sinensis Cellulose by Bioconversion
Authors: Kriger Olga , Babich Olga , Dolganyuk Vyacheslav , Kozlova Oksana , Sukhikh Stanislav , Larichev Timothy 
Published: June 2021

Introduction. Cellulose-containing parts of herbs are an excellent source of alternative energy and can be used to produce biological ethanol. The present research aims at improving this fundamental and promising area of biotechnology. It introduces a new consortium of microorganisms that can saccharify while fermenting the substrate.
Study objects and methods. The research featured technical cellulose obtained from Miscanthus sinensis using hydrotropic delignification and oxidation with pertrifluoroacetic acid. The ethanol content in the culture liquid was determined using an Agilent 7890B gas chromatograph with a flame ionization detector. The biocompatibility of the strains was studied by growing a direct co-culture in a dense nutrient medium.
Results and discussion. The research objective was to create a new microbial consortium for the single-step production of bioethanol from Miscanthus sinensis cellulose. A set of biocompatibility experiments and cultivation conditions made it possible to select the optimal producers. The two developed microbial consortia required optimal compositions of culture media, which were determined by varying the ratio of components and measuring the yield of ethanol in the resulting culture liquid.
Conclusion. The best consortium for Miscanthus sinensis cellulose consisted of Pichia stipites Y7124, Candida shehatae NCL3501, Kluyveromyces marxianus Y-4290, and Zymomonas mobilis 113 at a ratio of 1:1:1:1. The optimal parameters of bioethanol production included: temperature = 35 ± 1°C, pH = 5.2, time = 16 ± 1 h. The most efficient culture medium had the following composition (g/l): glucose – 5.0; peptone – 5.0; yeast extract – 0.4; K2HPO4 – 1.5; (NH)2 HPO4 – 1.5; MgSO4 – 0.5.
MiR-92a-3p Promotes the Malignant Progression of Hepatocellular Carcinoma by Mediating the PI3K/AKT/mTOR Signaling Pathway
Authors: Wang Libing , Cui Mingxin , Qu Fengzhi , Cheng Daming , Yu Jingkun , Tang Zhaoyuan , Cheng Ling , Wei Yanbing , Wu Xiaotang , Liu Xiaogang 
Published: June 2021

Background:
As one of the most common cancers globally, hepatocellular carcinoma (HCC) usually
has a poor prognosis. Many HCC patients are usually diagnosed at advanced stages. Therefore, new potential
biomarkers for the diagnosis and prognosis of HCC are urgently needed. More and more studies have shown
that miR-92a-3p can regulate the occurrence and development of various cancers, but its clinical significance
and molecular mechanism in HCC are still elusive. Here, we tried to clarify the regulatory mechanism of
miR-92a-3p in HCC.

Methods:
In this study, we conducted qRT-PCR and revealed that miR-92a-3p was notably upregulated in
HCC cells. MTT, flow cytometry, wound healing, Transwell invasion assays and western blot were conducted
to uncover that overexpressed miR-92a-3p could boost the proliferation, migration, invasion and epithelial-mesenchymal
transition (EMT) of HCC cells while inhibiting cell apoptosis. In addition, the proteins associated
with the PI3K/AKT/mTOR pathway were also detected by western blot.

Results:
It was suggested that miR-92a-3p could activate the PI3K/AKT/mTOR signaling pathway.

Conclusion:
These results suggest that miR-92a-3p plays a tumor-promoting role in HCC and may be a potential
biomarker for the diagnosis and prognosis of HCC.
Relationships between Gender Roles and Attitudes Towards Menstruation
and Perception of Menstrual Pain in Iranian Women
Authors: Azmoude Elham , Alirezaei Somayeh , Mokhtari Najme 
Published: June 2021

Background:
Menstruation is a prominent mark of womanhood. It is necessary to explore
what factors may develop female attitudes towards this natural phenomenon in different populations.

Objective:
This study aimed to explore the relationships between gender roles and attitudes towards
menstruation and perception of menstrual pain among Iranian women.

Methods:
This cross-sectional study was conducted on 164 women of reproductive age in Torbat-e
Heydariyeh in the east of Iran between September and December 2019. The participants completed
the Bem Sex-Role Inventory (BSRI), Menstrual Attitude Questionnaire (MAQ), and Verbal Multidimensional
Scoring System (VMSS). Data analysis was then performed in SPSS 16.0.

Results:
According to the results, menstruation was perceived as a natural phenomenon more significantly
by the androgynous group than by the undifferentiated and masculine groups (p<0.05). It
was also perceived as a predictable phenomenon more significantly by the feminine women than
by the other gender role groups (p<0.05). Furthermore, the gender role groups had no significant
differences in the prevalence and severity of menstrual pain (p>0.05).

Conclusion:
Androgynous women considered menstruation a natural phenomenon more often. Psychological
interventions should focus on the correction of attitudes towards menstruation, especially
in women with femininity, masculinity, and undifferentiated gender roles.
Advances in Research on microRNAs Related to the Invasion and Metastasis
of Nasopharyngeal Carcinoma
Authors: Zhang ShanShan , Wang BaiQi , Zheng LuLu , Fu ZhuQiong , Fu YiTing , Huang WeiGuo , Cheng AiLan 
Published: June 2021

Abstract:
Nasopharyngeal Carcinoma (NPC), which is associated with latent Epstein-Barr virus infection
in most cases, is a unique epithelial malignancy arising from the nasopharyngeal mucosal
lining. Accumulating evidence is providing insights into the genetic and molecular aberrations that
likely drive nasopharyngeal tumor development and progression. We review recent analyses of microRNAs
(miRNAs), including Epstein-Barr virus-encoded miRNAs (EBV-encoded miRNAs) and
dysregulated cellular miRNAs, that may be related to the metastasis of nasopharyngeal carcinoma.
The studies summarized herein have greatly expanded our knowledge of the molecular biology of
NPC involving miRNAs, and they may provide new biological targets for clinical diagnosis and reveal
the potential of microRNA therapeutics. However, much remains to be uncovered.
Development and Evaluation of a Low-cost Dairy Food Supplement with Mauritia Flexuosa (Buriti) to Combat Malnutrition: Translational Study in Mice and Institutionalized Elderly Woman
Authors: Bicalho Audrey Handyara , Santos Fabio Ribeiro , Moreira Daniele Cristina , Guimarães Victor Hugo Dantas , Ribeiro Guilherme Henrique , De Paula Alfredo Mauricio Batista , Guimarães André Luis Sena , Pereira Ulisses A. , Costa Theles , Paiva Caroline Liboreiro , Baldo Marcelo Perim , Santos Sérgio Henrique Sousa 
Published: June 2021

Aims:
This study aimed to improve malnutrition in mice and elderlies with a new dairy/buriti oral dietary supplement.
Background: Malnutrition is a prevalent problem in the elderly; therefore, oral dietary supplementation is an important strategy to reduce the incidence of this health problem.

Objective:
The present study evaluated the effects of a low-cost food supplement, made from by-products of the dairy and fruit industry in the Brazilian Cerrado (Buriti), on the nutritional status and the recovery of the metabolic profile of malnourished animals and elderly women.

Methods:
In the pre-clinical phase, Swiss mice were divided into six groups and subjected to malnutrition and renutrition. The clinical phase was carried out with 25 elderly women residing at a long-term institution, aged ≥ 65 years and with malnutrition or risk of malnutrition.

Results:
The analyzes showed improvements in anthropometric parameters and an increase in serum albumin levels, in addition to lipid profile improvement in the preclinical phase and an increase in the red blood cells and hemoglobin in the clinical phase.

Conclusion:
The supplement based on buriti was able to reverse malnutrition promoting improvements in anthropometric and biochemical parameters.
Adsorption Isotherms and Kinetics of the Adsorption of Rare Earth Elements
{La(III)&Pr(III)} by Nanocobalt Ferrite
Authors: Suryakala Duvvuri , Vasundhara Dasri , Kaleswararao Thaticharla 
Published: June 2021

Background:
Thermal decomposition of metal oxalates, which lead to transition metal
oxide composite, is considered to be a versatile method for the synthesis of transition metal oxide
composite and its extraordinary applications.

Objectives:
Nanometal oxide composite, especially, nanocobalt ferrite (CoFe2O4), is prepared efficiently
in a simple, eco friendly and cost effective manner. Various characterization techniques like
XRD, FTIR, SEM and EDS are applied to explore the morphology, functional groups, bonding nature
and size of the nano particles synthesized. Adsorption of rare earth elements La(III) and Pr(III)
onto synthesized nanocobalt ferrite is further studied using ICPAES method.

Methods:
Here, authors make an attempt to exploit meso porous CoFe2O4 synthesized through thermal
decomposition method and exploited it as an adsorbent for the adsorption of REEs, namely
Lanthanum and Praseodymium in their trivalent oxidation state La (III) & Pr (III) using ICPAES
technique.

Results and discussion:
The influencing parameters such as the adsorption efficiency, which include
equilibrium time, pH, initial rare earth element concentration, adsorbent dosage and effect of
temperature are studied. Adsorption isotherms, kinetics and thermodynamic parameters are analyzed.

Conclusion:
It is observed that adsorption studies follow pseudo second order kinetics and follow
adsorption isotherms of Langmuir. The adsorption capacity is observed to be more than 90%.
Involvement of End Users in the Development of Serious Games for Health Care Professions Education: Systematic Descriptive Review
Authors: Maheu-Cadotte Marc-André , Dubé Véronique , Cossette Sylvie , Lapierre Alexandra , Fontaine Guillaume , Deschênes Marie-France , Lavoie Patrick 
Published: June 2021

BackgroundOn the basis of ethical and methodological arguments, numerous calls have been made to increase the involvement of end users in the development of serious games (SGs). Involving end users in the development process is considered a way to give them power and control over educational software that is designed for them. It can also help identify areas for improvement in the design of SGs and improve their efficacy in targeted learning outcomes. However, no recognized guidelines or frameworks exist to guide end users’ involvement in SG development.ObjectiveThe aim of this study is to describe how end users are involved in the development of SGs for health care professions education.MethodsWe examined the literature presenting the development of 45 SGs that had reached the stage of efficacy evaluation in randomized trials. One author performed data extraction using an ad hoc form based on a design and development framework for SGs. Data were then coded and synthesized on the basis of similarities. The coding scheme was refined iteratively with the involvement of a second author. Results are presented using frequencies and percentages.ResultsEnd users’ involvement was mentioned in the development of 21 of 45 SGs. The number of end users involved ranged from 12 to 36. End users were often involved in answering specific concerns that arose during the SG design (n=6) or in testing a prototype (n=12). In many cases, researchers solicited input from end users regarding the goals to reach (n=10) or the functional esthetics of the SGs (n=7). Most researchers used self-reported questionnaires (n=7).ConclusionsResearchers mentioned end users’ involvement in the development of less than half of the identified SGs, and this involvement was also poorly described. These findings represent significant limitations to evaluating the impact of the involvement of end users on the efficacy of SGs and in making recommendations regarding their involvement.
AGRICULTURAL PRODUCTION POSITIONING STRATEGY
Authors: Demydenko Viktor , Rudenko Oksana , Serhienko Oleksandr 
Published: June 2021

The article is devoted to the strategy of positioning of agricultural products of Ukrainian enterprises during the period of its independence. The aim of the article is to study the key factors, mechanisms of positioning of agricultural products during the period of independence of Ukraine and the factors that have led to the competitiveness of agriculture and industrial processing. The novelty of the study is a comprehensive and systematic analysis of these issues, taking into account sectoral characteristics of the agricultural sector of Cherkasy region.
The constituent elements of the mechanism of formation of strategic vision are determined, the system of indicators, which reflect the effectiveness of positioning and determine the place and role of a certain product on the market and at the same time in the economic portfolio of the enterprise, is substantiated. The result of the study is the conclusion substantiated by the authors that economic conditions of functioning of agricultural enterprises significantly affect the mechanism of formation of their strategic priorities. The proposed methodological approaches can be used by agricultural enterprises in the formation of market strategies for positioning their products, which determines their practical value.
The expediency of studying the factors that directly affect the strategy of positioning of agricultural products at the regional and national levels is substantiated. The relationship between the number of agricultural products of Ukrainian producers and indices of agricultural products of Ukraine is established.
The sown area of agricultural crops for 1991–2019 is specified. The dynamics of the volume of sown areas of agricultural crops carried out in Ukraine during the period of its independence is analyzed. SWOT-analysis of the agro-food sector of Cherkasy region and rural areas summarizes the most important strengths and weaknesses, opportunities and threats, determines the long-term concept of agricultural development of Ukraine and rural areas based on the assessment. The key aspects of the strategy of positioning of agricultural products in Ukraine, which should be based on production potential, export orientation, infrastructure and investments, are substantiated.
PEMODELAN RATA-RATA LAMA SEKOLAH MENGGUNAKAN PENDEKATAN REGRESI NONPARAMETRIK SPLINE MULTIVARIABLE
Authors: ARYATI NI LUH GEDE SINTA , SUKARSA I KOMANG GDE , SRINADI I GUSTI AYU MADE 
Published: June 2021

Mean years school (MYS) is one of the indicators used in calculating the human development index (HDI). The value of MYS Indonesia in 2019 is 8,75 which is still low. Therefore it still needs to be improved. In this research, MYS modeling will be carried out using six factors that are thought to influence MYS. This research uses multivariable spline nonparametric regression to modeling MYS Indonesia in 2019. The best model is selected based on the minimum value of Generalized Cross Validation (GCV). Based on this research, the best model obtained is a linear orde (orde 2) spline model with four knots. The model has value of 99,91%.
ANALISIS SISTEM ANTREAN PADA LOKET PENDAFTARAN POLIKLINIK SPESIALIS DI RS BALIMED
Authors: SUGIARI KADEK DITA , SUMARJAYA I WAYAN , JAYANEGARA KETUT 
Published: June 2021

Hospital is one of the service facilities that is not free from queue problem. One example of this hospital is Balimed Hospital. At certain times, especially in the morning, there is a lineup of patients at the Balimed Hospital’s Specialist Polyclinic. In order to maximize service, it is necessary to analyze the queuing system by applying the queuing theory. This study focuses on queues at the Balimed Hospital’s Specialist Polyclinic in Internal Disease. After conducting the research, it was found that the model used at the Specialist Polyclinic in Internal Disease is . With this model, the queuing system at Balimed Hospital's Specialist Polyclinic in Internal Disease is in steady state condition because ???? < 1. The measures of performance for queuing system at Balimed Hospital’s Specialist Polyclinic in Internal Disease is the average number of patients in queue is 0,1 patient or it can be said that there is almost no patient in queue because the value of is close to 0, the average number of patients in system is 1 patient, the average waiting time for patients in queue is 1 minute, and the average time spent by patients start from queuing until being served is 2,5 minutes. The queuing system has been effective, it can be seen from the short waiting time for patients.
MEMODELKAN ANGKA GIZI BURUK DI PROVINSI BALI DENGAN PENDEKATAN REGRESI SPASIAL
Authors: PRATAMI ANAK AGUNG ISTRI AYU , SUKARSA I KOMANG GDE , SUCIPTAWATI NI LUH PUTU , KENCANA I PUTU EKA NILA 
Published: June 2021

Nutritional problems in toddler are still a serious problem in various districts/cities in Indonesia. The case of malnutrition in Bali Province vary in many regions and hypothesized to be influenced by geographic location, which is often known as spatial heterogeneity. To overcome this problem, a spatial regression method is used on this research. This study aims to model the factors that are hypothesized affect malnourished toddlers in Bali Province using spatial regression methods, i.e. spatial autoregressive model (SAR) and spatial error model (SEM). Both models have 5 predictors variable, i.e. the percentage of toddlers aged between 6 - 59 months who received vitamin A, the percentage of babies with low birth weight (LBW), the percentage of households with clean and healthy living behavior (PHBS), the percentage of children under five receiving exclusive breastfeeding, and the percentage of toddler health services, which are obtained from Bali Provincial Health Office. The results showed SEM method produced smaller AIC value and higher , with and AIC values ??of 96.24% and 60.84, respectively.