Different Sources Of Information Research Articles

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

This paper presents a comprehensive analysis of deep transfer learning methods, supervised methods, and semi-supervised methods in the context of protein fitness prediction, with a focus on small datasets. The analysis includes the exploration of the combination of different data sources to enhance the performance of the models. While deep learning and deep transfer learning methods have shown remarkable performance in situations with abundant data, this study aims to address the more realistic scenario faced by wet lab researchers, where labeled data is often limited.The novelty of this work lies in its examination of deep transfer learning in the context of small datasets and its consideration of semi-supervised methods and multi-view strategies. While previous research has extensively explored deep transfer learning in large dataset scenarios, little attention has been given to its efficacy in small dataset settings or its comparison with semi-supervised approaches.Our findings suggest that deep transfer learning, exemplified by ProteinBERT, shows promising performance in this context compared to the rest of the methods across various evaluation metrics, not only in small dataset contexts but also in large dataset scenarios. This highlights the robustness and versatility of deep transfer learning in protein fitness prediction tasks, even with limited labeled data.The results of this study shed light on the potential of deep transfer learning as a state-of-the-art approach in the field of protein fitness prediction. By leveraging pre-trained models and fine-tuning them on small datasets, researchers can achieve competitive performance surpassing traditional supervised and semi-supervised methods. These findings provide valuable insights for wet lab researchers who face the challenge of limited labeled data, enabling them to make informed decisions when selecting the most effective methodology for their specific protein fitness prediction tasks.Additionally, the study investigated the combination of two different sources of information (encodings) through our enhanced semi-supervised methods, yielding noteworthy results improving their base model and providing valuable insights for further research.The presented analysis contributes to a better understanding of the capabilities and limitations of different learning approaches in small dataset scenarios, ultimately aiding in the development of improved protein fitness prediction methods.

Opinions of Russian townspeople about involvement of protected natural areas in their life

Along the development of specially protected natural areas (SPNA), many urban areas are also deeply saturated with them. SPNAs can play an important role in the local economic and social development, however, the methodology for studying the involvement of SPNAs in the local population life is not well developed that determined the purpose of the paper. It is proposed, on the basis of a survey of the population living in the territories adjacent to the SPNA, and within the region, to identify the features of the cultural, recreation and economic behavior of citizens in the protected areas. The methodology was tested in the urban districts of Orenburg, Bryansk and Krasnodar. As a result of the survey, the opinion of the population about specific SPNAs in urban districts was revealed. On average, SPNAs are visited by 20% to 40% of the local residents, who mostly stay in SPNAs for 3–5 hours. More than half of local visitors to protected areas use catering services. Payment for sports and recreation services is more typical for residents of Orenburg and Bryansk. According to local residents, they spend an average of 1.1 to 3.6 thousand rubles per visit to protected areas. According to the frequency of visits to protected areas declared by people, the cost per month can range from 13 rubles to 7.9 thousand rubles. Taking into account the data of economic statistics and the results of the survey, the annual expenditures of local residents on protected areas were estimated, which in Orenburg made 1.4 billion rubles (or 0.9% of the income of the city population), in Bryansk — 2.1 billion rubles (or 1.6%) of the income), and in Krasnodar — 8.7 billion rubles (or 1.7% of the income). The approach of analytical processing of survey results and comparison of different sources of information, proposed by the authors, makes it possible to expand data on municipalities.

Perceptual intake explains variability in statistical word segmentation

One of the first problems in language learning is to segment words from continuous speech. Both prosodic and distributional information can be useful, and it is an important question how the two types of information are integrated. In this paper, we propose that the distinction between input (the statistical properties of the syllable sequence), and intake (how learners perceptually represent the syllable sequence) is a useful framework to integrate different sources of information. We took a novel approach, observing how a large number of syllable sequences were segmented. These sequences had the same transitional probability information for finding word boundaries but different syllables in them. We found large variability in the performance of the segmentation task, suggesting that factors other than the statistical properties of sequences were at play. This variability was explored using the input/intake asymmetry framework, which predicted that factors that shaped the representation of different syllable sequences could explain the variability of learning. We examined two factors, the saliency of the rhythm in these syllable sequences and how familiar the novel word forms in the sequence were to the existing lexicon. Both factors explained the variance in the learnability of different sequences, suggesting that processing of the sequences shaped learning. The implications of these results to computational models of statistical learning and broader implications to language learning were discussed.

Consumers' Trust in Different Sources of Information Related to Food Hazards and Their Judgment of Government Performance-A Cross-Sectional Study in Brazil.

Trust in institutions is fundamental for the stability and proper functioning of democracies, particularly in matters of high public sensitivity, such as food safety. This study aimed to assess trust levels in different sources of information and respondents' evaluation of the performance of government agencies responsible for controlling food-related hazards. Individuals interviewed in three environments (hospitals/clinics, supermarkets, universities, N = 1000) answered a face-to-face questionnaire in the Federal District of Brazil, and another population (health surveillance employees at the municipal, state and federal levels; N = 1017) answered the questionnaire online. About 60% of the population interviewed considered government performance to be low/very low. Scientists/universities, medical doctors (MD)/health professionals, and nongovernmental organizations (NGOs) were judged to be the most reliable sources of information on food hazards, while the food industry, supermarkets and social media inspired the lowest trust. Individuals from the hospitals/clinics group had significantly higher trust in MD/health professionals, media and websites than the two other Federal District groups. In general, income and education were the most predictive factors for the results, being negatively associated with assessment of government performance and trust in most information sources. In the Federal District, there was a negative association between trust levels in the government and worry about pesticides and genetically modified food, but a positive association between trust in NGOs and worry on these hazards. The results point to the need for the implementation of more effective communication strategies by institutions in which the population has low trust levels, such as government and food companies.

Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model.

The knowledge of protein-protein interaction (PPI) helps us to understand proteins' functions, the causes and growth of several diseases, and can aid in designing new drugs. The majority of existing PPI research has relied mainly on sequence-based approaches. With the availability of multi-omics datasets (sequence, 3D structure) and advancements in deep learning techniques, it is feasible to develop a deep multi-modal framework that fuses the features learned from different sources of information to predict PPI. In this work, we propose a multi-modal approach utilizing protein sequence and 3D structure. To extract features from the 3D structure of proteins, we use a pre-trained vision transformer model that has been fine-tuned on the structural representation of proteins. The protein sequence is encoded into a feature vector using a pre-trained language model. The feature vectors extracted from the two modalities are fused and then fed to the neural network classifier to predict the protein interactions. To showcase the effectiveness of the proposed methodology, we conduct experiments on two popular PPI datasets, namely, the human dataset and the S. cerevisiae dataset. Our approach outperforms the existing methodologies to predict PPI, including multi-modal approaches. We also evaluate the contributions of each modality by designing uni-modal baselines. We perform experiments with three modalities as well, having gene ontology as the third modality.

CLASSIFICATION OF READING STRATEGIES

The article substantiates the necessity and expediency of teaching foreign language reading using strategies. The mastering of reading strategies has a significant impact on the formation of students' ability to acquire the necessary knowledge from different sources of information (in foreign and native languages), and to overcome difficulties in learning.

An Open Database to Evaluate the Fundamental Frequency of Historical Masonry Towers through Empirical and Physics-Based Formulations

The fundamental frequency plays a primary role in the dynamic assessment of Cultural Heritage towers. Local and global features may impact its value: geometric, material features, interaction with the soil and adjacent buildings, aging, the construction phase, and repairs. A database is assembled to study the relationship between the fundamental frequency and the slender masonry structure features. Empirical and physics-based approaches were developed to assess the fundamental frequency from different sources of information. A Rayleigh–Ritz approach is proposed and compared with a 3D finite element model. A sensitivity analysis is then performed to quantify the contribution of each feature. As expected, it is shown that the height of the tower contributes the most to the fundamental frequency. The other tower features have a second-order impact on both the fundamental frequency and the mode shape. A comparison between the different approaches shows that the Rayleigh–Ritz drastically minimizes the difference between numerical and experimental frequencies when all information is available. Empirical relations are a good compromise when less information is available.

Sources of Information about COVID-19 Vaccines for Children and Its Associations with Parental Motivation to Have Their Children Vaccinated in Taiwan.

Pediatric COVID-19 vaccines have been developed to reduce the risk of contracting COVID-19 and subsequent hospitalization in children. Few studies have examined whether different sources of information regarding pediatric COVID-19 vaccines and parents' trust in the information have different effects on parental motivation to have their child vaccinated. No study has examined parental demographic factors related to the sources of information and the trust of parents in these sources. Understanding the sources of information on pediatric COVID-19 vaccines, parents' trust in the information, and related factors can contribute to the development of strategies for promoting the knowledge and acceptance of pediatric vaccination among parents. This study examined the sources of information regarding pediatric COVID-19 vaccines used by parents, their level of trust in these information sources, the demographic factors that influence this trust, and the associations of such information sources with parental motivation to get their child vaccinated against COVID-19. In total, 550 parents (123 men and 427 women) completed a questionnaire that was used to collect information regarding the information sources and to measure the parents' trust in these information sources. Parental motivation to get their child vaccinated was measured using the Motors of COVID-19 Vaccination Acceptance Scale for Parents. Multivariate linear regression analysis was performed to examine two associations, namely the associations of the parents' sources of information and their trust in these sources with their motivation to have their child vaccinated and the associations of the parents' demographic factors with their sources of information and their trust in these sources. For the parents, traditional mass media and medical staff in healthcare settings were the most common sources of information regarding pediatric COVID-19 vaccines. The parents rated medical staff in healthcare settings as the most trustworthy source of information. Obtaining information from acquaintances through social media and obtaining information from medical staff in healthcare settings were significantly associated with parental motivation to get their child vaccinated against COVID-19. Trust in the information provided by medical staff in healthcare settings and coworkers was significantly associated with the motivation of parents to vaccinate their children against COVID-19. Compared with fathers, mothers were more likely to obtain information from medical staff in healthcare settings and from acquaintances through social media. Parents with a higher education level were more likely to obtain information from medical staff in healthcare settings. Compared with the fathers, the mothers were more trusting of information obtained from coworkers. Health professionals should consider the sources of information used by parents and related factors when establishing strategies to increase parental motivation to get their children vaccinated against COVID-19.

Expectations about precision bias metacognition and awareness.

Bayesian models of the mind suggest that we estimate the reliability or "precision" of incoming sensory signals to guide perceptual inference and to construct feelings of confidence or uncertainty about what we are perceiving. However, accurately estimating precision is likely to be challenging for bounded systems like the brain. One way observers could overcome this challenge is to form expectations about the precision of their perceptions and use these to guide metacognition and awareness. Here we test this possibility. Participants made perceptual decisions about visual motion stimuli, while providing confidence ratings (Experiments 1 and 2) or ratings of subjective visibility (Experiment 3). In each experiment, participants acquired probabilistic expectations about the likely strength of upcoming signals. We found these expectations about precision altered metacognition and awareness-with participants feeling more confident and stimuli appearing more vivid when stronger sensory signals were expected, without concomitant changes in objective perceptual performance. Computational modeling revealed that this effect could be well explained by a predictive learning model that infers the precision (strength) of current signals as a weighted combination of incoming evidence and top-down expectation. These results support an influential but untested tenet of Bayesian models of cognition, suggesting that agents do not only "read out" the reliability of information arriving at their senses, but also take into account prior knowledge about how reliable or "precise" different sources of information are likely to be. This reveals that expectations about precision influence how the sensory world appears and how much we trust our senses. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Creation of a Laboratory for Statistics and Analysis of Dependence and Chronic Conditions: Protocol for the Bages Territorial Specialization and Competitiveness Project (PECT BAGESS).

With the increasing prevalence of chronic diseases, partly due to the increase in life expectancy and the aging of the population, the complexity of the approach faced by the structures, dynamics, and actors that are part of the current care and attention systems is evident. The territory of Bages (Catalonia, Spain) presents characteristics of a highly complex ecosystem where there is a need to develop new, more dynamic structures for the various actors in the health and social systems, aimed at incorporating new actors in the technological and business field that would allow innovation in the management of this context. Within the framework of the Bages Territorial Specialization and Competitiveness Project (PECT BAGESS), the aim is to address these challenges through various entities that will develop 7 interrelated operations. Of these, the operation of the IDIAP Jordi Gol-Catalan Health Institute focuses on the creation of a Laboratory for Statistics and Analysis of Dependence and Chronic Conditions in the Bages region, in the form of a database that will collect the most relevant information from the different environments that affect the management of chronic conditions and dependence: health, social, economic, and environment. This study aims to create a laboratory for statistical, dependence, and chronic condition analysis in the Bages region, to determine the chronic conditions and conditions that generate dependence in the Bages area, in order to propose products and services that respond to the needs of people in these situations. PECT BAGESS originated from the Shared Agenda initiative, which was established in the Bages region with the goal of enhancing the quality of life and fostering social inclusion for individuals with chronic diseases. This study presents part of this broader project, consisting of the creation of a database. Data from chronic conditions and dependence service providers will be combined, using a unique identifier for the different sources of information. A thorough legal analysis was conducted to establish a secure data sharing mechanism among the entities participating in the project. The laboratory will be a key piece in the structure generated in the environment of the PECT BAGESS, which will allow relevant information to be passed on from the different sectors involved to respond to the needs of people with chronic conditions and dependence, as well as to generate opportunities for products and services. The emerging organizational dynamics and structures are expected to demonstrate a health and social management model that may have a remarkable impact on these sectors. Products and services developed may be very useful for generating synergies and facilitating the living conditions of people who can benefit from all these services. However, secure data sharing circuits must be considered. PRR1-10.2196/46542.

The role of various influence sources on sexual behavior in adolescents with type 1 diabetes in comparison to healthy peers: a cross-sectional study from Greece.

Patients with type 1 diabetes mellitus (T1D) are at increased risk of sexually risky behaviors, such as unintended pregnancies. Adolescents with T1D use different sources of information on sexual education such as parents, friends, teachers, and the media. The study aim was to investigate the effect of different sources of information in development of sexual risk behaviors in T1D adolescents in comparison to healthy peers. The study included 174 adolescents (58 adolescents with T1D and 116 healthy controls). Anonymous questionnaires were used to evaluate sexually risky behaviors. T1D adolescents were more frequently asking advice from friends on sexual matters concerning the opposite sex (p = 0.026) and from school teachers (p = 0.059) when compared to controls. The proportion of sexually active T1D adolescents who had ever consumed alcohol before any sexual intercourse was higher when informed by friends of the opposite sex (p = 0.039) and not informed by a physician (p = 0.025) and lower when informed by parents (p = 0.015). When comparing among sexually active adolescents those who felt that they were adequately informed to those not well informed, no significant difference in high risk behaviors was found. The majority of T1D adolescents felt that they were adequately informed on sexual matters compared to healthy peers. They mostly used friends of the opposite sex and teachers as information sources. Nevertheless, T1D adolescents were more likely to adopt a risky sexual behavior if they were not informed by their parents and medical professionals, or preferred friends of the opposite sex.

Safety behavior in pesticide use among farmers of northern Greece: the role of information sources.

Farmers' compliance with common safety practices in pesticide use (i.e., keeping records of pesticide applications, reading the information of pesticide labels, and taking protective measures during pesticide handling) and the use of information sources about pesticides were studied in a simple random sample of farmers in Evros Province, northern Greece. According to the three common safety practices considered in the study, most farmers (56.9%) complied with safety practices. Nevertheless, a noticeable proportion of the farmers never kept records of pesticide applications (33.9%), never read the information of pesticide labels (20.2%), and never took protective measures during pesticide handling (24.8%). Farmers reported using up to six different sources of information about pesticides, but the majority (51.4%) reported using up to one source and almost one-third (33.9%) relied on own sources. The most common information source about pesticides was the staff of the agricultural supply stores, used by 88.1% of the farmers. Safety behavior was positively correlated with total sources of information (P < 0.01) and information by the agricultural supply stores (P < 0.01). Multiple regression analysis showed that safety behavior was reduced in females, whereas it was increased in farmers with high education, high number of plots, and high level of information sources. Despite good levels of safety behavior by most farmers, keeping records of sprayings should be improved. Using multiple information sources about pesticides is crucial to improve safety behavior of farmers. This article is protected by copyright. All rights reserved.

Adaptability of Older Adults at the Onset of COVID-19

ABSTRACT It is important to understand the unique experiences and perspectives of older adults who were required to incorporate critical adaptive behaviors during the onset of the COVID-19 pandemic. An anonymous, cross-sectional survey was administered online through Qualtrics Survey Software in June 2020 to 1405 adults between the ages of 18 and 86. Differences in adaptability between older adults and young/middle-aged adults were analyzed. This study found that older adults (n = 132) utilized different sources of information than young/middle-aged adults; they were more likely to read the newspaper or listen to the radio, and less likely to rely on social media for information. Older respondents in this study reported coping with the COVID-19 outbreak better than young/middle-aged respondents, were less likely to report that they were personally affected by the virus, and were less likely to feel overwhelmed by the amount of information about COVID-19. The findings of this study highlight adaptability and resilience in older adults not found in young/middle-aged adults and provide an important step in identifying policy and practice suggestions to reduce negative repercussions for older adults experiencing the current crisis, as well as future generations of older adults who might experience similar events.

Characteristics of RCTs focusing on health promotion in community samples: a scoping review protocol based on the d-CoSPICO framework

IntroductionDeveloping the capabilities of individuals, groups and communities to enhance their health has received a great deal of attention in the literature. One essential source of results is evidence-based intervention...

Documenting the biodiversity of edible grasshoppers in South Africa with traditional knowledge, classic taxonomy and genetic information

AbstractThe diversity of edible grasshoppers worldwide remains largely undocumented due to inconsistent reporting of ethno- and scientific species, and paucity of reference DNA sequences. This study uses traditional knowledge and scientific methods for identification of ethnospecies, taxonomic species, and phylogenetic groups that likely represent genetic species. Community members in the Limpopo province of South Africa assisted with specimen collection (n = 176) and identification of 34 ethnospecies (i.e. vernacular names given by the local communities). Scientific taxa were identified by alpha taxonomy and DNA barcode sequence queries on BOLD Systems and GenBank. Genetic groups likely representing distinct species were determined by phylogenetic analysis and intragroup p-distances. Acrididae dominated the dataset with nine subfamilies and 17 genera represented. Database queries yielded high sequence similarity/identity matches (&gt; 95%) for only 58.6% of the sequences on BOLD and 37.1% on GenBank, thus highlighting the low representation of African Orthoptera in public repositories. Phylogenetic analysis and pairwise distances revealed 36 genetic groups likely representing distinct species. Comparison of the results obtained from the different sources of information showed incomplete overlap, and numerous inconsistencies. Despite the difficulties, the overall diversity of edible grasshoppers traditionally utilized in South Africa is higher than previously reported. This work may inform future studies for documenting edible insects in Africa and other world regions.

Fake news as a distortion of media reality: tell-truth strategy in the post-truth era

The article deals with fake news which has been considered one of the greatest threats to information security. The expansion of digital technologies and the development of communication networks have contributed to the spreading of misinformation. In particular, the emergence of different sources of information on the Internet, the growing polarization of opinions in the political and socio-economic dimensions, the devaluation of the fact, and the widespread fake news on the Internet (e.g., social media) form the question of revision of the process of collecting, verifying presenting information, methods, and technologies for verifying facts, including methods for countering fake news. Although this issue has been widely investigated in academic discourse, there are still controversial arguments regarding which elements should form a tell-truth strategy. This paper focuses on recent research that reflects trends and patterns in this field and on the author’s empirical survey - interviews with university professors and media experts (N=6), journalists (N=6), and students (N=14) in Russia. In this study, the author describes the key characteristics of fake news and the elements of this tell-truth strategy. It is intended that this paper focuses on both professional journalists and professors who may use the results of this investigation in such courses as political science, sociology, philosophy, and journalism.

Vaccine Hesitancy Among Parents and Its Determinants During the Era of COVID-19 in Taif City, Saudi Arabia.

Background Vaccine hesitancy is a growing concern worldwide, particularly during the COVID-19 pandemic. The aim was to investigate vaccine hesitancy and its determinants among parents in Taif, Saudi Arabia. Methods A cross-sectional study was conducted among parents using a validated and reliable questionnaire, the parentattitudes about childhood vaccines (PACV). Parents of children aged (two months to seven years) attending primary health care centers (PHCC) outpatient clinics were selected using a stratified sampling technique and interviewed to fill out the pre-structured questionnaire. Result The study included 301 parents, with 41.2% between the ages of 30-39 years and 25.2%% between 40-49 years. Mothers constituted 69.1% of the respondents. The most common sources of information regarding vaccinations were the doctor (34.9%), the internet (27.9%), and social media (16.6%). COVID-19 influenced the beliefs of more than half (52.5%) of parents regarding the importance of vaccinations. The median PACV score for vaccination hesitancy was 23.3/100, interquartile range (IQR) (13.3-33.3). The highest hesitation was among the age group of 30-39 years old (21.6%) and those whose beliefs were not influenced by the COVID-19 pandemic (16.1% vs. 5.7%) (p-value=0.003). The study found a significant difference in vaccine hesitancy rates between the different sources of information (p-value <0.001); parents who got their information about vaccinations from social media were more likely to be hesitant about vaccinations (40%). Concerns about side effects (93.8%), thinking that vaccines are not safe (84.4%), and thinking that fewer vaccines are needed (78.1%) were the top three factors influencing vaccine hesitancy. Conclusion This study urges promoting vaccine uptake through healthcare providers and combating vaccine misinformation on social media. Additionally, addressing safety concerns and misconceptions about vaccine necessity, and focusing on first-time parents, younger parents, and those with lower socioeconomic status are recommended strategies to improve vaccine uptake rates.

Integration of beef cattle international pedigree and genomic estimated breeding values into national evaluations, with an application to the Italian Limousin population

BackgroundInternational evaluations combine data from different countries allowing breeders to have access to larger panels of elite bulls and to increase the accuracy of estimated breeding values (EBV). However, international and national evaluations can use different sources of information to compute EBV (EBVINT and EBVNAT, respectively), leading to differences between them. Choosing one of these EBV results in losing the information that is contained only in the discarded EBV. Our objectives were to define and validate a procedure to integrate publishable sires’ EBVINT and their associated reliabilities computed from pedigree-based or single-step international beef cattle evaluations into national evaluations to obtain “blended” EBV. The Italian (ITA) pedigree-based national evaluation was used as a case study to validate the integration procedure.MethodsPublishable sires’ international information, i.e. EBVINT and their associated reliabilities, was included in the national evaluation as pseudo-records. Data were available for 444,199 individual age-adjusted weaning weights of Limousin cattle from eight countries and 17,607 genotypes from four countries (ITA excluded). To mimic differences between international and national evaluations, international evaluations included phenotypes (and genotypes) of animals born prior to January 2019, while national evaluations included ITA phenotypes of animals born until April 2019. International evaluations using all available information were considered as reference scenarios. Publishable sires were divided into three groups: sires with ≥ 15, < 15 and no recorded offspring in ITA.ResultsOverall, for these three groups, integrating either pedigree-based or single-step international information into national pedigree-based evaluations improved the similarity of the blended EBV with the reference EBV compared to national evaluations without integration. For instance, the correlation with the reference EBV for direct (maternal) EBV went from 0.61 (0.79) for a national evaluation without integration to 0.97 (0.88) when integrating single-step international information, on average across all groups of publishable sires.ConclusionsOur proposed one-animal-at-a-time integration procedure yields blended EBV that are in close agreement with full international EBV for all groups of animals analysed. The procedure can be directly applied by countries since it does not rely on specific software and is computationally inexpensive, allowing straightforward integration of publishable sires’ EBVINT from pedigree-based or single-step based international beef cattle evaluations into national evaluations.

Cara Mendidik Anak Dalam Islam

The way children are educated in Islam has an impact on their growth and role in life. Through this article, we examine the factors that cause the success of how to educate children in Islam focusing on the morals, manners and knowledge of children in the realm of the family. The type of analysis used in this study is literature search, or in other words called literature search. It is a problem-solving activity based on a critical and in-depth analysis of important library materials. Most of this research is done in newspapers and news stories, looking for different sources of information relating to the issue under investigation. This research method uses qualitative descriptive methods. The data displayed is categorized, displayed, and analyzed using a system of elaboration of the source's answers, This analysis involves contextualizing and interpreting the data that has been collected. The data are presented in this article in a narrative and descriptive format. The conclusion of this study on child rearing in the Islamic worldview is that raising children in the Islamic worldview is the duty of every parent. Children are a gift of Allah SWT to all parents and raising children in an Islamic perspective is an irreplaceable obligation of every parent. There are different ways of raising children in Islam, for example. How to teach the basics of Islam, give nicknames to children with good intentions, give affection every day and teach children to pray since childhood. Environmental factors, parental character and social environment can affect a child's education in Islam. How to teach the basics of Islam, give nicknames to children with good intentions, give affection every day and teach children to pray since childhood. Environmental factors, parental character and social environment can affect a child's education in Islam. The influence of raising children in Islam is to raise children with good morals and behavior, able to be filial and respect for parents, so that they become righteous and pious children.

Increasing knowledge of the transmissivity field of a detrital aquifer by geostatistical merging of different sources of information

Transmissivity is a significant hydrogeological parameter that affects the reliability of groundwater flow and transport models. This study demonstrates the improvement in the estimated transmissivity field of an unconfined detritic aquifer that can be obtained by using geostatistical methods to combine three types of data: hard transmissivity data obtained from pumping tests, soft transmissivity data obtained from lithological information from boreholes, and water head data. The piezometric data can be related to transmissivity by solving the hydrogeology inverse problem, i.e., including the observed water head to determine the unknown model parameters (log transmissivities). The geostatistical combination of all the available information is achieved by using three different geostatistical methodologies: ordinary kriging, ordinary co-kriging and inverse problem universal co-kriging. In addition, there are eight methodological cases to be compared according to which log-transmissivity data are considered as the primary variable in co-kriging and whether two or three variables are used in inverse-problem universal co-kriging. The results are validated by using the performance statistics of the direct modelling of the unconfined groundwater flow and comparing observed water heads with the modelled ones. Although the results show that the two sets of log-transmissivity data are incompatible, the set of log-transmissivity data from the lithofacies provides a good log-transmissivity image that can be improved by inverse modelling. The map provided by inverse-problem universal co-kriging provides the best results. Using three variables, rather than two in the inverse problem, gives worse results because of the incompatibility of the log-transmissivity data sets.