Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Game Analytical Game (GAG) to Increase of Basic Skill Shooting Soccer Player 6-9 Years Old

Training units are commonly used in basic techniques of playing football through training models for players over 12 years old. Drill practice is practiced more on players than games. The purpose of this study is to determine the effectiveness of the Game Analytical Game (GAG) training model in improving basic soccer shooting skills. This research method is quantitative research with Quasi-Experiment. The designs used were pre-test and post-test non-equivalent control group design. Participants who took part in this study were school soccer players (SSB) PORASS totaling 80 players aged 6-9 years. The data was collected by conducting tests using basic shooting technique instruments. The results of this study are based on data analysis through independent sample t-test. It is known that the sig (2-tailed) value is 0.000 <0.05 which indicates that the GAG model is effective in improving football shooting skills. It can be concluded that the GAG training model is effective in improving basic shooting technique skills in soccer games for SSB players aged 6-9 years. The literature that discusses the GAG training model in soccer games and studies investigating its effectiveness for improving the technique in players under 9 years old are lacking. It is important for future research to examine whether the GAG training model is effective in improving basic skills of passing and control in football or other sports.
An Ecogeomorphic Framework Coupling Sediment Modeling With Invasive Riparian Vegetation Dynamics

Feedbacks between geomorphic processes and riparian vegetation in river systems are an important control on fluvial morphodynamics and on vegetation composition and distribution. Invasion by nonnative riparian species alters these feedbacks and drives management and restoration along many rivers, highlighting a need for ecogeomorphic models to assist with understanding feedbacks between plants and fluvial processes, and with restoration planning. In this study, we coupled a network‐scale sediment model (Sediment Routing and Floodplain Exchange; SeRFE) that simulates bank erosion and sediment transport in a spatially explicit manner with a recruitment potential analysis for a species of riparian vegetation (Arundo donax) that has invaded river systems and wetlands in Mediterranean climates worldwide. We used the resulting ecogeomorphic framework to understand both network‐scale sediment balances and the spread and recruitment of A. donax in the Santa Clara River watershed of Southern California. In the coupled model, we simulated a 1‐year time period during which a 5‐year recurrence interval flood occurred in the mainstem Santa Clara River. Outputs identify key areas acting as sources of A. donax rhizomes, which are subsequently transported by flood flows and deposited in reaches downstream. These results were validated in three study reaches, where we assessed postflood geomorphic and vegetation changes. The analysis demonstrates how a coupled model approach is able to highlight basin‐scale ecogeomorphic dynamics in a manner that is useful for restoration planning and prioritization and can be adapted to analogous ecogeomorphic questions in other watersheds.
Malnutrition in Infants Aged under 6 Months Attending Community Health Centres: A Cross Sectional Survey

A poor understanding of malnutrition burden is a common reason for not prioritizing the care of small and nutritionally at-risk infants aged under-six months (infants u6m). We aimed to estimate the anthropometric deficit prevalence in infants u6m attending health centres, using the Composite Index of Anthropometric Failure (CIAF), and to assess the overlap of different individual indicators. We undertook a two-week survey of all infants u6m visiting 18 health centres in two zones of the Oromia region, Ethiopia. We measured weight, length, and MUAC (mid-upper arm circumference) and calculated weight-for-length (WLZ), length-for-age (LAZ), and weight-for-age z-scores (WAZ). Overall, 21.7% (95% CI: 19.2; 24.3) of infants u6m presented CIAF, and of these, 10.7% (95% CI: 8.93; 12.7) had multiple anthropometric deficits. Low MUAC overlapped with 47.5% (95% CI: 38.0; 57.3), 43.8% (95% CI: 34.9; 53.1), and 42.6% (95% CI: 36.3; 49.2) of the stunted, wasted, and CIAF prevalence, respectively. Underweight overlapped with 63.4% (95% CI: 53.6; 72.2), 52.7% (95% CI: 43.4; 61.7), and 59.6% (95% CI: 53.1; 65.9) of the stunted, wasted, and CIAF prevalence, respectively. Anthropometric deficits, single and multiple, are prevalent in infants attending health centres. WAZ overlaps more with other forms of anthropometric deficits than MUAC.
Sweet Revenge Feels Less Bitter: Spontaneous Affective Reactions After Revenge Taking

Previous studies suggested that people feel better after revenge taking, while other studies showed that they feel worse. The interpretation of this research is however ambiguous due to its extensive reliance on self-report measures. The present research examined spontaneous affective responses after retaliatory punishments in a laboratory task using an indirect measure of affect (affect misattribution procedure). Experiment 1 showed positive reactions after noise punishments of a provocateur compared to a control person, but only in revenge-seeking participants. Experiment 2 replicated this finding and revealed that punishing either individual led to less positive responses than not punishing anyone. It is suggested that revenge taking is associated with brief pleasurable responses that can ameliorate negative affective consequences of retaliatory action. Revenge is sweet because it makes one feel better about one’s punitive action.
Comparing long‐term care systems: A multi‐dimensional, actor‐centred typology

Like other fields of social policy, the organization of long-term care (LTC) varies temporally and geographically. The present article aims to advance the comparison of LTC systems worldwide by proposing a conceptual framework to analyse variation, putting a special focus on analysing the role of public and private actor types. In a precluding literature review of existing LTC typologies, we find that there are various promising classification approaches, but with an overwhelming concentration on European countries and often constructed in-transparently and superficially. Building on the concept of the care/welfare mix, we develop a multi-dimensional , actor-centred typology of LTC systems . In doing so, we employ the methodological procedure of theoretically constructing a typological attribute space . We argue that three dimensions , that is service provision, financing and regulation, are crucial for differentiating types. Further-more, we chose an actor-centred approach, asking who bears the main responsibility in each dimension. Five relevant types of corporate actors are distinguished: state, societal actors, private for-profit actors, private individual actors, and global actors. Finally, we present and discuss the resulting attribute space and further illustrated the typo-logy's use by exemplarily classifying three countries.
Fairness and behavioral intentions in discrete B2B transactions: a study of small business firms

Purpose – While studies about business-to-business (B2B) relationships have mainly addressed buyer–supplier long-term exchanges, focusing on social outcomes such as trust, commitment and cooperation, there is little research that explores the social outcomes which stem from short-term B2B transactions. The purpose of this paper is to explain buyers’ intention to renew a contract after discrete and time-delimited transactions by suggesting a model that complements social exchange theory with theories of fairness. In detail, this study aims to determine how evaluations of economic and social outcomes are complemented by both procedural fairness and distributive fairness. Design/methodology/approach – The hypotheses are tested in the social couponing industry with a survey of a sample of 199 firms purchasing advertising services from daily deal websites. Data are analyzed using covariance-based structural equation modeling (CB-SEM). Findings – The findings reveal direct effects of procedural fairness on social outcomes (satisfaction) and distributive fairness on the intention to renew a contract, negative moderating effect of procedural fairness on the relationship between economic outcomes (campaign effectiveness) and social outcomes (satisfaction). Research limitations/implications – In discrete, time-delimited transactions, high levels of procedural fairness may partially compensate for low levels of economic outcomes and prevent a reduction in social outcomes. Hence, when economic outcomes are influenced largely by external, uncontrollable conditions, the buyer seems to appreciate the supplier’s efforts to behave fairly. Practical implications – Social outcomes matter even in discrete transactions and considerations of fairness should be integrated in the management of discrete transactions. Sharing economic outcomes fairly is not sufficient to secure the buyer’s intention to renew the contract. Originality/value – This study proposes and tests a model that complements social exchange theory with theories of fairness and explains contract renewal in discrete, time-delimited transactions, encompassing both economic outcomes and social outcomes.
An Empirical Investigation of Mathematics Learning Approaches and Metacognitive Awareness of Students

The goal of this study is to examine the mathematics learning approaches and metacognitive awareness of 6th, 7th and 8th grade students with regard to some variables. This is a quantitative study conducted in a survey model. In the 2018-2019 academic year, the working group was secondary school students in the public schools in Central Anatolia region 6.7. 8. It consists of 330 (166 girls, 164 boys) students studying at the grade level. As the data collection tools, Goktepe-Yildiz and Ozdemir’s (2018) “Mathematics Learning Approach Scale”, which was originally developed by Schraw and Dennison (1994); The Metacognitional Awareness Inventory developed by Akin, Abaci and Cetin (2007) was utilized. According to the empirical findings, for sixth, seventh, and eighth grade students, scores for deep and strategic learning approaches are above the medium level, whereas scores for surface approach is below the medium level. In addition, it has been determined that mathematics learning approaches differ significantly according to gender, grade level and mathematics achievement. As a consequence of the analysis, it was seen that students' levels of metacognitive awareness were high. The levels of metacognitive awareness did not differ by gender, but differed significantly by grade level and mathematics achievement. In addition, while there exists a positive and statistically significant relationship between deep learning and strategic learning approaches and metacognitive awareness no statistically significant relationship was found between the surface learning approach and the metacognitive awareness.
MODERASI BERAGAMA DALAM RUANG DIGITAL: GERAKAN OPINI DIGITAL #SKB3MENTERI

The study examines Digital Movement of Opinion (DMO) by using hastag #SKB3Menteri hashtags on Twitter, thus forming a mobilization of digital opinion support between actors and hashtags as well as digital opinions. The research data was taken through Netlytic software ranging from February 03, 2021 to February 11, 2021. The method used is Social Network Analysis combined both quantitative and qualitative approach. Quantitatively, the study investigated 2500 samples from communication networks and tweets #SKB3Menteri as many as 3,232. Qualitatively, the researchers analyzed the text which describes social networks related to #SKB3Menteri. The results showed that #SKB3Menteri hashtag creates mobilization with a wide network system. The study also showed the hashtag was able to reach out Twitter users to giving their opinions. Keywords: Religious moderation; Twitter; SKB 3 Ministers; Digital Movement of Opinion; Social Network Analysis
Strategies in microbial degradation enhancement of chlorpyrifos – a review based on the primary approaches in soil bioremediation

Abstract The worldwide demand for potential agrochemicals is escalating day-by-day. Unsystematic and widespread pesticide use has resulted in constant expansion of pesticide industry making them the leaders of the agrochemical industry. The consumption of organophosphate pesticides is rapidly rising leading to its persistence in the environment thereby resulting in environmental contamination. Chlorpyrifos (O,O-diethyl O-(3,5,6-trichloro-2-pyridyl) phosphorothioate) is the most broadly used wide-spectrum chlorinated organophosphate pesticide. The toxic effects of chlorpyrifos on crop plants, aquatic life and human health is of great concern. Being a systemic pesticide, its soil residual effect would be a menace to sustainable agriculture practices. Degradation of chlorpyrifos in the environment into simpler non-toxic metabolites would be the only available solution to this endless dilemma. Chlorpyrifos can undergo either biological or non-biological transformation in the environment among which biological degradation involving microorganisms has been considered as cost-effective and environment-friendly. Recent advances in the primary approaches of soil pesticide biodegradation such as biostimulation and bioaugmentation along with cell immobilisation technique have paved ways for complete and effective chlorpyrifos detoxification. Various mechanisms and contributions in chlorpyrifos biodegradation and degradation enhancement approaches are discussed in detail in this review.
Cellulose Acetate Hollow Fiber Membranes from Banana Stem Fibers Coated by TiO2 for Degradation of Waste Textile Dye

Cellulose acetate hollow fiber membrane from banana stem fibers coated by TiO2 (CAHFMT) was prepared and characterized as an alternative material for degradation of waste textile dye. Its applicability was demonstrated by mechanical properties, FTIR, SEM, thermal resistance, performance, and degradation efficiency. Cellulose acetate (CA) was synthesized from banana stem fibers by swelling stage, acetylation reaction, and hydrolysis reaction. CA was modified using TiO2 of various concentrations. CAHFMT with 22 % w/v dope concentration has the optimum mechanical properties (stress, strain and Young’s modulus), as well as hydrophilic properties. The performances of CAHFMT with Congo red were determined. The SEM results showed that the membrane had rigid pores. Moreover, this research stated that CAHFMT could be a solution to overcome economical and effective problems.
Money laundering through cryptocurrencies - analysis of the phenomenon and appropriate prevention measures

Purpose The aim of this paper is to assess the relevance of cryptocurrencies with regard to the money laundering risk on the market and to present widespread money laundering techniques and recognizable patterns of abuse. In addition, this paper aims to find an answer to the question to what extent the measures of the fifth EU Anti-Money Laundering Directive (AMLD) as well as other appropriate preventive measures are sufficient to reduce the money laundering risk in the area of virtual currencies (VC). Design/methodology/approach Firstly, the analysis requires a consideration of the theoretical foundations of money laundering methods, as well as a presentation of the technical foundations of cryptocurrencies and their ecosystem. Secondly, it is discussed to what extent VC are suitable for money laundering, which characteristics enable them to launder money and which new money laundering techniques result from this. In addition, a comparison of different money laundering risk classification is done in relation to VC from the perspective of different actors in the financial market. Findings Owing to their simple electronic storage and transferability, crypto assets pose a concrete risk of money laundering. Their inclusion in the fifth AMLD was therefore a necessary step by the European legislator. However, the question arises to whether the directive and the further preventive measures presented in this paper sufficiently fulfil the objective of reducing the money laundering risk in relation to VC. One positive aspect is the inclusion of the crypto custody business as a financial service in the German Banking Act. According to the definition in Section 1 (1a) sentence 2 no. 6, the offering of wallets is subject to authorization and the offering party becomes an obligated party within the meaning of the Germany Money Laundering Act. From a supervisory point of view, the new licensing requirement is very much welcomed, as the custody of private cryptographic keys entails considerable risks. However, non-custodian wallet providers who do not store the private keys of their users, are not covered. A closer analysis of the amending directive to the fourth EU AMLD reveals that other relevant players in the crypto market, such as mixer and tumbler services, are also not covered. Originality/value It is quite clear that cryptocurrencies and the blockchain technology will continue to accompany one in the coming years. Further credit institutions arising in the market exposed to the described risks will be seen. The paper will therefore present and evaluate possible risk reduction/options for anti-money laundering for new and existing financial institutions.
Pinpointing Synechococcus Rubisco Large Subunit Sections Involved in Heterologous Holoenzyme Formation in Escherichia Coli

Background: Heterologous holoenzyme formation of ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco) have been a challenge due to limited understanding of its biogenesis. Unlike bacterial Rubiscos, eukaryotic Rubiscos are incompatible with the Escherichia coli chaperone system to fold and assemble into the functional hexadecameric conformation (L8S8), which comprise eight large subunits (RbcL) and eight small subunits (RbcS). Our previous study reported three sections (residues 248-297, 348-397 and 398-447) within the RbcL of Synechococcus elongatus PCC6301 may be important for formation of L8S8 in E. coli. Present study further examined these three sections separately, by dividing them into six sections of 25 residues (i.e. residues 248-272, 273-297, 348-372, 373-397, 398-422 and 423-447). Methods and Results: Six chimeric Rubiscos with each section within the RbcL from Synechococcus replaced by their respective counterpart sequence from Chlamydomonas reinhardtii were constructed and checked for their effect on holoenzyme formation in E. coli. Present study shows that Section 1 (residues 248-272; section of Synechococcus RbcL replaced by corresponding Chlamydomonas sequence), Section 2 (residues 273-297), Section 3 (residues 348-372) and Section 6 (residues 423-447) chimeras failed to fold and/or assemble despite successful expression of both RbcL and RbcS. Only Section 4 (residues 373-397) and 5 (residues 398-422) chimeras could form L8S8 in E. coli. Conclusion: As GroEL chaperonin mediates folding of bacterial RbcL in E. coli, residues 248-297, 348-372 and 423-447 of Synechococcus RbcL may be important for interacting with the GroEL chaperonin for successful holoenzyme formation in E. coli.
Validation of stock assessment methods: is it me or my model talking?

The adoption of the Precautionary Approach requires providing advice that is robust to uncertainty. Therefore, when conducting stock assessment alternative, model structures and data sets are commonly considered. The primary diagnostics used to compare models are to examine residuals patterns to check goodness-of-fit and to conduct retrospective analysis to check the stability of estimates. However, residual patterns can be removed by adding more parameters than justified by the data, and retrospective patterns removed by ignoring the data. Therefore, neither alone can be used for validation, which requires assessing whether it is plausible that a system identical to the model generated the data. Therefore, we use hindcasting to estimate prediction skill, a measure of the accuracy of a predicted value unknown by the model relative to its observed value, to explore model misspecification and data conflicts. We compare alternative model structures based on integrated statistical and Bayesian state-space biomass dynamic models using, as an example, Indian Ocean yellowfin tuna. Validation is not a binary process (i.e. pass or fail) but a continuum; therefore, we discuss the use of prediction skill to identify alternative hypotheses, weight ensemble models and agree on reference sets of operating models when conducting Management Strategy Evaluation.
Outer membrane vesicles as versatile tools for therapeutic approaches

ABSTRACT Budding of the bacterial surface results in the formation and secretion of outer membrane vesicles, which is a conserved phenomenon observed in Gram-negative bacteria. Recent studies highlight that these sphere-shaped facsimiles of the donor bacterium's surface with enclosed periplasmic content may serve multiple purposes for their host bacterium. These include inter- and intraspecies cell–cell communication, effector delivery to target cells and bacterial adaptation strategies. This review provides a concise overview of potential medical applications to exploit outer membrane vesicles for therapeutic approaches. Due to the fact that outer membrane vesicles resemble the surface of their donor cells, they represent interesting nonliving candidates for vaccine development. Furthermore, bacterial donor species can be genetically engineered to display various proteins and glycans of interest on the outer membrane vesicle surface or in their lumen. Outer membrane vesicles also possess valuable bioreactor features as they have the natural capacity to protect, stabilize and enhance the activity of luminal enzymes. Along these features, outer membrane vesicles not only might be suitable for biotechnological applications but may also enable cell-specific delivery of designed therapeutics as they are efficiently internalized by nonprofessional phagocytes. Finally, outer membrane vesicles are potent modulators of our immune system with pro- and anti-inflammatory properties. A deeper understanding of immunoregulatory effects provoked by different outer membrane vesicles is the basis for their possible future applications ranging from inflammation and immune response modulation to anticancer therapy.