bluuebunny/crossref_metadata_2025_split huggingface dataset:
Under-five Mortality and Associated Factors among Children Born from 15-49 Years Old Mothers in Haramaya Town, Eastern Ethiopia
Authors: Ahmed Mohammed , Demena Melake , Teklemariam Zelalem , Desalew Assefa , Assefa Nega 
Published: March 2022

Abstract
Background: The global under-five mortality rate has dropped from almost 90 deaths per 1,000 live births in 1990 to 43 in 2015. The Ethiopian Mini Demographic Health Survey, 2019 shows 55 under-five deaths per 1,000 live births. In the eastern part of Ethiopia, evidence from the Kersa Health and Demographic Surveillance System in Kersa district of East Hararghe Zone, Oromia Region suggested the decline of under-five mortality rate from 131.8 per 1000 live births in 2008 to 77.4 per 1000 live births in 2013. The death rates still remain far from the Sustainable Development Goals’ target reduction to 25 or less per 1000 live births by 2030. However, the magnitude and determinants of under-five mortality is not studied in Haramaya town. Objective: To assess the under-five mortality rate and its associated factors among children born from 7th August 2015- 6th August 2020, in Haramaya town, east Ethiopia by 7th–31st August 2020. Methodology: Quantitative cross-sectional population-based study was conducted on 391 pairs of 15-49 years old mothers and their live-born under-five children selected using systematic random sampling technique from Haramaya town to compare child mortality between <=24 and >=25 mother’s age groups. Data were collected using interview-based questionnaire; double entered into EpiData 3.1; and then exported to statistical package for social sciences program version 20.0 for analysis. Binary logistic regression analysis (p-value <0.20) was performed to examine crude association of predictors with under-five mortality, and then multiple logistic regression analysis (p-value <0.05) to measure the statistical association. Results: The death of 28 out of 372 live births gave an under-five mortality rate of 75 per 1000 live births. Children born in households with less than 6 members had 7. 98 times higher odds of dying than those born in households with at least 6 members (AOR =7.98, 95% CI =1.59-40.17). Those children who did not feed colostrum were associated with 17.45 times increased risk of under-five deaths compared to colostrum-fed ones (AOR =17.45, 95% CI =6.54-46.55). Conclusion: The study suggests that 75 per 1000 live births die before celebrating their fifth birth day. Household size and colostrum feeding are the significantly associated factors.Recommendation: All concerned should inform the mothers the role of identified factors like household size and colostrum feeding in child survival.
Promoting weaning practices and growth of infants by using Communication for Behavioral Development approach: an Egyptian community-based modeling study
Authors: Metwally Ammal M. , Sallam Sara F. , Alian Khadija M. , Abdel-Latif Ghada A. , Hasanin Hasanin M. , Mawla Mohamed A. Abdel , Kamal Ayat N. , Amer Hala A. , Hanna Carine , Shebini Salwa M. El , Ahmed Nihad H. , Mabrok Hoda B. , Mahmoud Maha H. , Ismail Ahmed S. , Salama Sameh H. , Salem Sondos M. , Boseila Samia A.W. , El-Alameey Inas R. , Mahfouz Nermine N. , Shaaban Fatma A. , Ibrahim Nihad A. , Hassan Nayera E. , El-Masry Sahar A. , Naga Maie M. , Ibrahim Aya K. 
Published: March 2022

Abstract
Background:Children who like varieties in their food choices may carry these preferences throughout their childhood and beyond, affecting their health and growth. Therefore, the improvement of complementary feeding and weaning practices should be strongly supported. Aim:This study aimed at evaluating how impactful is the use of the Communication for behavioral development (C4D) approach on improving the weaning practices in an Egyptian village for 464 pregnant women and mothers of infants and improving the growth of infants 12-36 months of age. Methods: The study was an interventional three-phase study: assessment, intervention using the communication for behavioral development approach (C4D), and evaluation.The interventions encouraged each mother to provide her baby nutritious and varied options through age-appropriate introduction and diversification of nutrient-rich complementary foods under the slogan “enjoy meals like a baby”.Results:There was marked and significant improvement of the awareness and of the majority of the weaning practices’ indicators as a result of the interventions. This was noticed for the timely introduction of complementary foods which increased from 36.7% to 82.0%, the minimum meal frequency indicator (3-5) which increased from 25.3% to 67.3%, iron-rich or fortified food (68.0 % to 82%) as well as regular checkup for baby health at health unit (71.3%). Unfortunately, some other indicators that were improved but couldn’t reach the percentage of the targeted objectives were the “Minimum Dietary Diversity” (reached 32%) and the minimum acceptable diet (reached 22.0 %). Conclusion:Nutrition education and complementary feeding had significantly marked improvement on all the growth indices of infants aged 1-3 years. The outcome strongly supports the need for improvement of complementary feeding practices through the use of the C4D approach.
A genetic programming-based model for predicting phosphorus concentration in shallow lakes
Authors: Bai Yu , Yang Jianquan , Sun Guojin , Zhao Yufeng , Yu Yu 
Published: March 2022

Abstract
In this study, a large amount of lake monitoring data was collected and genetic programming, a machine learning technique based on natural selection, was used to search for a robust relationship between phosphorus concentration, wind speed and water temperature. No forms were specified before searching but a new prediction formula was obtained. The formula can provide acceptable simulation accuracy and a theoretical reference for water environment management in shallow lakes or reservoirs.
Study of domestic water consumption in intermittent supply of the Riberas de Sacramento sector in Chihuahua, Mexico
Authors: Mendoza García Carlos David , Navarro Gómez Carmen Julia 
Published: March 2022

AbstractUser water demand can be met in intermittent water supply systems, and normally it is met if they have sufficient capacity to store water in their homes to be used in the hours when it is not supplied from the public pipe network. The situation in many intermittent water supply systems is that they have enough water to cover the demand of the users but are supplying it intermittently, and the challenge is to achieve a transfer from intermittent to continuous supply. If the delivery of water is continuous, which supplies drinking water 24/7, it covers not only the basic needs of the user, but all the needs for water they may have. The present study was carried out using smart domestic water meters to obtain consumption information in an intermittently supplied pilot sector. The electromagnetic meters record the water flow through pulses and generate consumption information, which gives us the consumption pattern in volume of water and in the time it is used. During the study, multivariate statistical methods were applied to obtain information from the domestic meters and to identify, as realistically as possible, the consumption of drinking water and the relationship between consumption and specific characteristics of the users and thus anticipate future demand. The results showed a close relationship between consumption and the size of the residence. The most influential factors were the number of bathrooms and the number of occupants. A direct relationship between the pressure and the volume supplied was presumed at the beginning of the study but the opposite was found. Equipment was installed to measure the pressure in the network at the time of establishing the continuous supply of drinking water. The multivariate analysis provides a selection of the most important variables that influence and explain the behavior of the water use and consumption pattern, with the operation determined by the operating agency.
Crosstalk between SARS-CoV-2 Infection and Type II Diabetes
Authors: Azhar Asim , Khan Wajihul Hasan , Al-hosaini Khaled , Zia Qamar , Kamal Mohammad Amjad 
Published: March 2022

Abstract:
Since the outbreak of coronavirus disease (COVID-19) in Wuhan, China, triggered by
severe acute respiratory coronavirus 2 (SARS-CoV-2) in late November 2019, spreading to more
than 200 countries of the world, the ensuing pandemic to an enormous loss of lives, mainly the
older population with comorbidities, like diabetes, cardiovascular disease, chronic obstructive
pulmonary disease, obesity, and hypertension. Amongst these immune-debilitating diseases,
SARS-CoV-2 infection is the most common in patients with diabetes due to the absence of a normal
active immune system to fight the COVID-19. Recovery of patients having a history of diabetes
from COVID-19 encounters several complications, and their management becomes cumbersome.
For control of coronavirus, antiviral medications, glucose-lowering agents, and steroids have
been carefully evaluated. In the present review, we discuss the crosstalk between SARS-CoV-2 infection
and patients with a history of diabetes. We mainly emphasize the molecular factors that are
involved in diabetic individuals recently infected by SARS-CoV-2 and developed COVID-19 disease.
Lastly, we examine the medications available for the long-term management of diabetic patients
with SARS-CoV-2 infection.
Classical and Machine Learning Methods for Protein - Ligand Binding Free Energy
Estimation
Authors: Sivakumar Dakshinamurthy , Wu Sangwook 
Published: March 2022

Abstract:
Binding free energy estimation of drug candidates to their biomolecular target is one of the best quantitative
estimators in computer-aided drug discovery. Accurate binding free energy estimation is still a challengeable
task even after decades of research, along with the complexity of the algorithm, time-consuming procedures, and
reproducibility issues. In this review, we have discussed the advantages and disadvantages of diverse free energy
methods like Thermodynamic Integration (TI), Bennett's Acceptance Ratio (BAR), Free Energy Perturbation (FEP),
and alchemical methods. Moreover, we discussed the possible application of the machine learning method in proteinligand
binding free energy estimation.
Modulatory Potential of Citrus sinensis and Moringa oleifera Extracts and
Epiphytes on Rat Liver Mitochondrial Permeability Transition Pore
Authors: Adeoye Akinwunmi O. , Falode John A. , Jeje Temitope O. , Agbetuyi-Tayo Praise T. , Giwa Sikirat M. , Tijani Yesirat O. , Akinola Damilola E. 
Published: March 2022

Background:
Bioactive agents from medicinal and dietary plants have been reported to modulate the mitochondrial membrane permeability transition pores.

Objective:
This study investigated the in vitro effects of C. sinensis (CSE) and M. oleifera (MOE) methanol leaf extracts and their epiphytes (CEP and MEP) on mitochondria permeability transition pores.

Methods:
In vitro antioxidant activities of the extracts were determined using standard procedures and quantification of polyphenolic compounds in the extracts was done using HPLC-DAD. Opening of the mitochondrial permeability transition pores was assessed as mitochondrial swelling and observed spectrophotometrically as changes in absorbance under succinate-energized conditions. Cytochrome c release was also assessed spectrophotometrically.

Results:
From the results, CSE, MOE, CEP, and MEP inhibited lipid peroxidation and scavenged nitric oxide and DPPH radicals in a concentration-dependent manner. All extracts exhibited greater ferric reducing antioxidant potential. More so, the results showed that CSE, MOE, CEP, and MEP possess the substantive amount of total flavonoids and total phenolics. CSE and MOE had higher total flavonoids and total phenolic content when compared with the epiphytes. HPLC-DAD results revealed Tangeretin as the most abundant in CSE; Eriocitrin in citrus epiphytes; Moringine in MOE and Flavones in moringa epiphytes. All extracts inhibited calcium-induced opening of the pores in a concentration-dependent manner with C. sinensis leaf extract (CSE) and moringa epiphyte (MEP) being the most potent in this regard with no significant release of cytochrome c at all concentrations.

Conclusion:
The results suggest that CSE and MEP have bioactive agents which could be useful in the management of diseases where too much apoptosis occurs characterized by excessive tissue wastage such as neurodegenerative conditions.
A Systematic Review on Curcumin and Anti-Plasmodium berghei Effects
Authors: Cheraghipour Kourosh , Shakib Pegah , Kalani Hamed , Ho Jeffery , Dolatshah Mehrdad , Amiri Sana 
Published: March 2022

Background:
Turmeric (Curcuma longa L.) is a popular spice, containing curcumin that is responsible for its therapeutic effects. Curcumin with anti-inflammatory, antioxidant, anti-cancer, and antimicrobial activities has led to a lot of research focusing on it over the years. This systematic review aimed to evaluate researches on anti-Plasmodium berghei activity of curcumin and its derivatives.

Methods:
Our study was performed according to PRISMA guidelines and was recorded in the database of systematic review and preclinical meta-analysis of CAMARADESNC3Rs (SyRF). The search was performed in five databases, namely Scopus, PubMed, Web of Science, EMBASE, and Google Scholar from 2010 to 2020. The following keywords were searched: “Plasmodium berghei”, “Medicinal Plants”, “Curcumin”, “Concentration”, Animals kind”, “Treatment Durations”, “Routes of Administration” and “in vivo”.

Results:
Of the 3,500 papers initially obtained, 14 articles were reliable and were thus scrutinized. Animal models were included in all studies. The most commonly used animal strain were Albino (43%) followed by C57BL/6 (22%). The other studies used various murine strains, including BALB/c (14%) and ICR (7%). Two (14%) studies did not mention the strain of animal model used. Curcumin alone or in combination with other compounds depending on the dose used, route of administration, and animal model showed a moderate to strong anti-Plasmodium berghei effect.

Conclusion:
According to the studies, curcumin has anti-malarial effects on Plasmodium berghei and, however, its effect on human Plasmodium is unclear. Due to the side effects and drug resistance of current drugs in the treatment of human malaria, the use of new compounds with few or no side effects such as curcumin is recommended as an alternative or complementary treatment
Risk Factors Associated with COVID-19 Infections among Healthcare Workers in Eswatini: A Cross-Sectional Study
Authors: Haumba Samson Malwa , Nhlabatsi-Khumalo Zanele Precious , Byarugaba Hugben , Ghebreyesus Yohannes , Dlamini Lindiwe Lizzie 
Published: March 2022

Background:
The coronavirus disease 2019 (COVID-19) pandemic has spread with alarming speed, infecting millions globally, including Eswatini. Despite the institutionalization of measures by the Ministry of Health (MoH) to fight the pandemic, the cumulative number of people infected with COVID-19 has kept increasing daily. We sought to assess risk factors for COVID-19 infections among Health care workers (HCWs) in selected health facilities of the Lubombo region of Eswatini.

Methods:
A cross-sectional design and systematic stratified sampling were used to select the participants.

Results:
The study enrolled 333 HCWs, with the majority (201, 60.4%) being females, and the participants’ mean age was 33 years. The study showed that not having an isolation arrangement in a health facility for people suspected to have COVID-19 presents risk to HCWs for COVID-19 (Crude Odds Ratio (COR) = 2.5, 95%CI: 1.0–6.2), p = 0.50; Adjusted Odds Ratio (AOR) = 3.0, 95% confidence interval (CI) 1.0–8.7, p = 0.038). Likewise, HCWs who rarely followed infection prevention and control (IPC) measures were at higher risk of COVID-19 infection than those who followed such measures (COR = 4.2, 95%CI: 1.1–17.2, p = 0.041; AOR = 6.5, 95%CI: 1.4–30.0, p = 0.016), and HCWs exposed to a colleague diagnosed with COVID-19 were at higher risk of being infected themselves (AOR = 11.4; 95%CI: 0.9–135.7; p = 0.054).

Conclusion:
An active COVID-19 symptoms screening, triage and isolation arrangement for suspected COVID-19 clients for all clients entering the facility increases protection of HCWs from COVID-19. Reinforcement of all infection prevention and control measures to prevent exposures from infected patients and colleagues is essential.
ANALYSIS FACTORS INFLUENCING UTILIZATION OF INFORMATION TECHNOLOGY AND ITS IMPACT ON USER SATISFCATION AND MANAGERIAL PERFORMANCE (Study of an Information Technology based University in Surabaya)
Authors: Tanuwijaya Haryanto 
Published: March 2022

Purpose â€”Â This research was conducted to explore factors influencing utilization of information technology and its impact on user satisfaction and managerial performance. Design/methodology/approach â€”Â This research is a quantitative explanatory research using primary data collected by questionnaire. The respondents were fully structural officer in the tecnologyÂ information based university. Data analysis uses structure equal modeling with SmartPLS.Findings â€”Â The results of this reseach indicate that the social, affection, complexity, long term consequences factors have a positive and significant impact toward utilization of information technology. Job fit and facilitating condition factors have no significant to utilization of information technology. This study result also indicates that utilization of information technology has no impact to managerial performance. Practical implications â€”Â To enhance managerial performance, the institution should find another approach in the utilization of information technology. The increasing of education business competition in digital era requires institution to utilize information technology appropriately in order to gain the top and superior university.Originality/value â€”Â This study can be used as a recommendation for the insitution related policies of utilization and invesment of information technology in the future to gain managerial performance. Keywords â€”Â Social, Affection, Complexity, Job fit, Long term consequences, Facilitating condition, Utilization of information technology, User satisfaction, Managerial performance. Paper type â€”Â Case study
ANALYSIS OF COVID-19 DISCHARGED CASES AND EQUITY TURNOVER IN THE NIGERIAN CAPITAL MARKET: AN EVENT STUDY APPROACH
Authors: Babarinde Gbenga Festus 
Published: March 2022

Purpose â€”Â The purpose of this study is to investigate the effect of cumulative and new discharged cases of COVID-19 on equity turnover value in the Nigerian Stock Exchange(NSE) between March 2, 2020, and September 25, 2020.Design/methodology/approach â€”Â Correlation test and Vector Autoregressive (VAR) model were used to analyze the daily time series data sourced from the Nigerian Stock Exchange and the Nigeria Centre for Disease Control(NCDC) websites.Findings â€”Â The study found evidence of a weak negative correlation between measures of COVID-19 recovery and equity turnover value in Nigeria. Furthermore, the VAR model results indicate that cumulative and new discharged cases of COVID-19 have a negative but non-significant impact on equity turnover value in Nigeria over the study periodPractical implications â€”Â This implies that COVID-19 recovery cases still have the potential to shrink equity turnover value in the Nigerian capital market, though its influence may not be significant. There is therefore the need to speed up the vaccine development/commercial launch pace and other measures to curb the pandemic and ensure quicker recovery of those infected persons. These will help to reduce the long-run potential threat of COVID-19 on the Nigerian capital market. Originality/value â€”Â This paper provides empirical evidence on the nexus between COVID-19 discharged cases and equity turnover in a developing economy, this is Nigeria. It is expected that this case will help the investment community particularly, the capital market investors on the potential influence of COVID-19 on market transactions in terms of turnover, such that the prolongation of the coronavirus pandemic constitutes an important source of financial volatility in the capital market of the country.Keywords â€”Â Coronavirus; COVID-19; Discharge cases; Recovery rate; Equity turnover value; Nigerian Stock Exchange; Vector Autoregressive (VAR).Paper type â€”Â Research Paper
TRANSFORMATIONAL LEADERSHIP AND SOCIAL CAPITAL: IS IT IMPORTANT FOR INNOVATION? (Case Study on Coffe Farmers Member of Koperasi Tani Benteng Alla, Enrekang Regency, South Sulawesi)
Authors: Haris Andi Tenri Ellyana , Prasetya Arik , Mawardi Muhammad Kholid 
Published: March 2022

Purpose â€”Â This research aims to explain the influence of transformational leadership and social capital of the leader for innovation that has been applied to coffe farmers who are members of Koperasi Tani Benteng Alla in Enrekang Regency, South Sulawesi.Design/methodology/approach â€”Â Research methods by using a descriptive qualitative purposive sampling and snowball sampling approach with 21 informants that is the chairman of Koperasi Tani Benteng Alla, head of the farmer group and member of farmer group. The researcher used triangulation, member checking and comparing the information in the field as a test of data validation.Findings â€”Â The results of this study showed that the leader with transformation style and have a good social capital will easily to influence his members to do innovations. The chairman of Koperasi Tani Benteng Alla as a leader has a good transformation style and social capital that has a positive impact on the implementation of innovation for his members.Â Practical implications â€” innovation should be created through good synergy between transformational leaders who have a vision of change and are supported by the trust of members who are built up through social interaction.Originality/value â€” This study is to strengthen existing theories and previous research on the important role of transformational leaders and social capital have to execute innovation.Keywords â€”Â Transformational leadership, social capital, innovation.Paper type â€” Case Study
HOW CORPORATE GOVERNANCE, CREDIT RISK AND PERFORMANCE LINK TOGETHER?
Authors: Nurtrontong Pitoyo , * Suhadak , Rahayu Sri M. , Handayani Siti R 
Published: March 2022

AbstractPurpose:In this study, a research was conducted to compare Â link corporate governance, credit risk, and performance on conventional banking and islamic banking in Indonesia.Methodology:This research used quantitative method with Generalized Structured Component Analysis (GSCA) for testing and analzing. In this study using conventional and sharia banking data in Indonesia for the period 2012-2016 which are listed on the Indonesia Stock Exchange and the Indonesian Financial Services Authorit.FindingThe result of Â research showed that on the conventional banking, profitability is influenced by the link together of corporate governance, liquidity and credit risk, while on the islamic banking, profitability is influenced by the link together Â of liquidity and credit risk.Practical Implication:First, the existence and number of the Board of Commissioners and Audit Committee in conventional banking are able to support the achievement of performance. This should be maintained and improved.Second, supervision is needed to manage distributing of sharia financing. Islamic banking has two indicators that play a role in the formation of credit risk which have the potential to reduce liquidity and profitability.Third, it is necessary to trade-off for the management of islamic banking in managing their liquidity because the increase in liquidity has the potential to reduce profitability.Novelty:The first study comparing the linkage between corporate governance, credit risk and performance in conventional and islamic banking in Indonesia using GSCA.Â Keywords: corporate governance, credit risk, performance