Miracle-dz/UniFAR-FTUs huggingface dataset:
Modern Approaches to Assessment in Preschool Education Modern Approaches to Assessment in Preschool Education

: The purpose of this research is to evaluate the attitudes of preschool teachers regarding the application of modern approaches in the evaluation process in preschool education. In this research, the survey model, one of the quantitative research models, was used. Two hundred and ninety-one (291) preschool teachers teaching in various kindergartens in Kazakhstan constitute the sample group of the research. As a data collection tool in the study, the attitude scale of preschool teachers regarding the application of modern approaches in the evaluation process in education was developed by the researchers. Independent variables T-test was applied in the analysis of bivariate data, and One-way ANOVA was applied in the analysis of more than two variable data. As a result of the research, it has been determined that preschool teachers have a high degree of positive attitude towards the application of modern approaches in the evaluation process in education. It has been determined that male and female teachers have a similar attitude towards the application of modern approaches in the evaluation process in education. When professional seniority is taken into consideration, it has been determined that preschool teachers with 1-5 years of professional seniority have a higher positive attitude towards the application of modern approaches in the evaluation process in education compared to teachers with 6-10 years of professional seniority and 11 years or more of professional seniority.
Hyperspherical Prototype Node Clustering

The general workflow of deep node clustering is to encode the nodes into node embeddings via graph neural networks and uncover clustering decisions from them, so clustering performance is heavily affected by the embeddings. However, existing works only consider preserving the semantics of the graph but ignore the inter-cluster separability of the nodes, so there’s no guarantee that the embeddings can present a clear clustering structure. To remedy this deficiency, we propose H yperspherical P rototype N ode C lustering (HPNC), an end-to-end clustering paradigm that explicitly enhances the inter-cluster separability of learned node embeddings. Concretely, we constrain the embedding space to a unit-hypersphere, enabling us to scatter the cluster prototypes over the space with maximized pairwise distances. Then, we employ a graph autoencoder to map nodes onto the same hypersphere manifold. Consequently, cluster affinities can be directly retrieved from cosine similarities between node embeddings and prototypes. A clustering-oriented loss is imposed to sharpen the affinity distribution so that the learned node embeddings are encouraged to have small intra-cluster distances and large inter-cluster distances. Based on the proposed HPNC paradigm, we devise two schemes (HPNC-IM and HPNC-DEC) with distinct clustering backbones. Empirical results on popular benchmark datasets demonstrate the superiority of our method compared to other state-of-the-art clustering methods, and visualization results illustrate improved separability of the learned embeddings.
Efﬁcient Data Gathering for Decentralized Diversity Combining in Heterogeneous Sensor Networks

—We study reliable communication in heterogeneous sensor networks. In many application scenarios, more energy-constrained (mobile) nodes are distinguished from more powerful base stations (or ground nodes). Wildlife monitoring is just one of many examples within the Internet of Things research community. In order to improve the communication reliability (and, thus, also the energy footprint), these ground nodes often apply macro-diversity to reduce transmission failures and to avoid costly retransmissions. In recent years, the concept of using distributed sensor networks as antenna arrays for receive diversity has been proposed. We address one of the key challenges in such networks, which is the huge cost of forwarding signal samples to a (central) sink through the ground network, where diversity algorithms are eventually applied. In particular, we present two algorithms, a cluster and a tree based one, that help reducing the data transfers in the ground network. Ground nodes try applying diversity techniques early whenever they receive signal samples from multiple receivers. In extensive simulations, we show that the algorithms substantially outperform naïve centralized solutions.
Should Foster Care Replace the Family? Child Welfare and the Value of Family Privacy

: Privacy is a central characteristic of the family, and while there are reasons to value family privacy, it is also regarded as an obstacle to justice in the family ethics literature. Because family life is protected from intervention by external agencies, parents’ resources and caregiving practices may have a profound impact on the child’s rights and opportunities. Given these considerations, the family may be an obstacle to equality of opportunity and the protection of children’s rights. Accordingly, a central question is how to justify child-rearing in families. A commonly held conclusion in the family ethics literature is that the family is preferable to alternatives like residential institutions or communal child-rearing. Existing contributions do not discuss more moderate alternatives, though, where problems of the family are addressed by enhancing the presence of state agencies in family life. In this chapter, I explore that possibility by asking if organising families as foster homes is less morally objectionable than raising children in families. I discuss three strategies for rejecting the suggestion: a child-centred approach, a dual-interest approach (taking into account both the child’s and parents’ interests) and a Rawlsian approach based on the value of reasonable pluralism in child-rearing. I argue that only the third strategy gives us a plausible solution to resist the foster care model I explore.
Transcriptomic analysis of the liver in aged laying hens with different intensity of brown 2 eggshell color 3 4

23 Objective: Eggshell color is an important indicator of egg quality for consumers, especially 24 for brown eggs. Various factors related to laying hens and their environment affect brown 25 eggshell coloration. However, there have been no studies investigating hepatic functions of 26 laying hens with variable intensity of brown eggshell color. Therefore, this study was aimed 27 to identify potential factors affecting brown eggshell coloration in aged laying hens at the 28 hepatic transcriptomic level. 29 Methods: Five hundred 92-wk-old Hy-line Brown laying hens were screened to select laying 30 hens with different intensity of brown eggshell color based on eggshell color fans. Based on 31 eggshell color scores, hens with dark brown eggshells (DBE; eggshell color fan score = 14.8) 32 and hens with light brown eggshells (LBE; eggshell color fan score = 9.7) were finally 33 selected for the liver sampling. We performed RNA-seq analysis using the liver samples 34 through the paired-end sequencing libraries. Differentially expressed genes (DEGs) profiling 35 was carried out to identify their biological meaning by bioinformatics. 36 Results: A total of 290 DEGs were identified with 196 being up-regulated and 94 being 37 down-regulated in DBE groups as compared to LBE groups. The Kyoto Encyclopedia of 38 Genes and Genomes (KEGG) analysis revealed that these DEGs belong to several biological 39 pathways including herpes simplex infection (TLR3, TAP2, TAP1, CDK1, etc.) and influenza 40 A (TLR3, RSAD2, MX1, etc.). Genes related to stress response (CERKL) and nutrient 41 Ac ce pt d Ar tic le
A New Strategy for Acetogenic Bacteriacell Growth and Metabolites Production Using Syngas in Lab Scale

Syngas fermentation by acetogenic bacteria present a major bottleneck, which is the low solubility of the substrates (CO and CO2) and, therefore, the low productivity caused by low cell density. In lab scale, many studies are conducted in serum bottles and agitated in incubation shakers with bottles kept vertically. In the present study, the serum bottles were kept horizontally in a new strategy to increase turbulence and, as a consequence, the mas transfer. Cell growth of Clostridium carboxidivorans (DSM 15243), Clostridium ragsdalei (DSM 15248) and Clostridium ljungdahlii (DSM 13528) was increased by the increase in the availability of CO and CO2 in the liquid medium. Cell growth of C.carboxidivoransincreased 3.7 times and the specific growth rate became 50% higher. Ethanol and acetic acid production were also favored by this strategy. C.carboxidivorans was thebest specie for ethanol production.
Along‐arc variation in short‐term slow slip events caused by 3‐D fluid migration in subduction zones

A strong correlation exists between the average slip rate by short‐term slow slip events (SSEs) and changes in the slab geometry in Cascadia and Nankai. The generation of short‐term SSEs is generally assumed to be related to the presence of fluids and we investigate the hypothesis that fluids released by metamorphic dehydration reactions migrate in 3‐D due to complex slab geometry. The associated along‐arc focusing of fluid flux is likely to cause higher average slip rate in certain patches. To test this hypothesis, we investigate how fluid migration is modified by along‐strike changes in slab geometry. We use a numerical model of two‐phase flow in subduction zones. In this model fluids migrate subparallel to the slab surface due to the anisotropic permeability inside a serpentinite layer just above the slab. In 3‐D, we find that fluids migrate in the maximum‐dip direction of the slab, rather than subparallel to the plate motion. As a result fluid paths concentrate with increasing porosity where the slab has a convex shape (and diverge with decreasing porosity where it has a concave shape). These results suggest that regions with a high average slip rate by short‐term SSEs in Cascadia and Nankai can be explained by 3‐D focusing of fluid migration. We predict a defocusing of fluids below the Kii Channel, Nankai, which may be the reason for the observed small slip by short‐term SSEs in this location.
Proposed Knowledge Management Design to Improve Business Processes at O Mart Retail Company

Retail trade plays an important role both in a global context and in Indonesia itself because it drives economic growth, creates jobs and shapes consumer behavior. Understanding the importance of industry growth, dynamics of competition and knowledge management are essential for optimizing business performance and achieving sustainable success. Minimarket O Mart is one of the small retail in the form of minimarkets in Indonesia, minimarket O Mart has problems in its business, namely inefficient business because O Mart is still in its standard operating procedures, because there is still no good SOP documentation, besides that the knowledge sharing activities within the company is also limited to chatting and has not been carried out formally within the company. The aims of this study are to propose a knowledge management system that can improve business processes at O Mart and to develop an implementation plan for the suggested knowledge management system, outlining the steps and strategies required for its successful integration at O Mart. Theories that support this research are the Definition of Knowledge, Fishbone Analysis, Knowledge Management Framework, People-Process-Technology Framework, SECI Model, KM Roadmap, and Implementation Plan. The research methodology is based on a qualitative research design involving data collection through interviews with employees from various departments of O Mart Retail Company. This research uses a knowledge management framework (People, Process, Technology) and the SECI model which will then produce a Knowledge Management Roadmap and also a Knowledge management implementation plan which is expected to overcome the problem of inefficient business processes at O Mart minimarkets.
The Thai

To apply real-time polymerase chain reaction (PCR) to detect and quantify the gastrointestinal microbiota modulated by dietary feed additives was the objective of this study. Sixty-four three-crossbred weaning piglets at 24 days were used and randomly assigned to be fed one of the experimental diets supplemented with different feed additives (0.2% inulin, 0.1% fructooligosaccharide and sub-therapeutic antibiotics), and compared with the non-supplemented group. Comparison of microbiota enumeration by conventional culture and real-time PCR methods in response to feed additives was investigated. The microbiota enumeration by conventional culture and real-time PCR methods showed corresponding responses of selected bacterial counts (Lactobacilli, Bifidobacteria, Escherichia coli ) in feces and digesta from caecum and colon to different feed additives. The inulin-treated group tended to have the highest Lactobacilli number, while the sub-therapeutic antibiotics-treated group had significantly lower number of Lactobacilli and Bifidobacteria in the fecal and digesta samples ( p < 0.05) and tended to have a reduction in the population of Escherichia coli in the digesta. However, higher numbers were detected by real-time PCR due to the count of DNA copies from both non-viable and viable bacteria. The sensitivity of real-time PCR of this study could detect as low as 10 2 copies of specific bacteria 16S rRNA gene. Besides, the optimized real-time PCR had the advantage of being less time-consuming and less labor-intensive, and allowing samples to be stored until analysis compared to the culture method. Therefore, real-time PCR could be used as an effective method to detect microbiota changing in the GI tract. Moreover, this technique can be applied in the future for evaluation of feed quality, which affects microbiota balance.
Knowledge Level of Yayasan Gracia Sustain TK/SD Medan Teachers about Acute Otitis Media

Background. Acute Otitis Media (AOM) is a rapidly developing inflammatory condition within the middle ear that commonly occurs in children. Kindergarten / elementary school teachers educate children who may also have indications of AOM, so if these teachers have a sufficient level of knowledge about AOM, it will be easier to identify and especially prevent it. This study set intended to investigate parents' attitudes and knowledge on treating their children's acute otitis media Methods. This study is a descriptive study that uses a cross-sectional analytic approach. Sampling was done using the total sampling method using a questionnaire. The research subjects were 70 teachers at Yayasan Gracia Sustain kindergarten/primary school in Medan. Data were analyzed using the SPSS version 25 application. Results. The results of the analysis of 70 teachers at Yayasan Gracia Sustain kindergarten/primary school Medan showed that 7 teachers (10.0%) had good knowledge, 63 teachers (90.0%) had moderate knowledge, and no teachers had low knowledge. Conclusion. The teachers of Yayasan Gracia Sustain kindergarten/primary school in Medan have a moderate level of knowledge about AOM.
Melanin Synthesis Inhibition and Radical Scavenging Activities of Compounds Isolated from the Aerial Part of Lespedeza cyrtobotrya

The EtOAc fraction of Lespedeza cyrtobotrya showed mushroom tyrosinase inhibitory and radical scavenging activities. Four active compounds were isolated based on Sephadex LH-20 chromatography and HPLC, and the structures were elucidated, on the basis of their LC - MS and NMR spectral data, as 2-(2,4-dihydroxyphenyl)-6- hydroxybenzofuran (1), eriodictyol-7-O -glucopyranoside (2), haginin A (3), and dalbergioidin (4), respectively. Compound (1) showed mushroom tyrosinase inhibitory activity with an IC 50 value of 5.2 µ M and acted as a competitive inhibitor. Furthermore, 37.3 µ M of compound 1 reduced 50% of the melanin content on human melanoma (MNT-1) cells. The radical scavenging activities of compounds 1, 2, 3, and 4 were shown to have IC 50 values of 11.0, 24.5, 9.0, and 36.5 µ M, respectively, in an ABTS system and IC 50 values of 42.7, 36.0, 37.7, and 61.7 µ M, respectively, in a DPPH system. The mushroom tyrosinase inhibitory activity of the EtOAc fraction of Lespedeza cyrtobotrya was contributed by compounds 1, 3, and 4, and its radical scavenging activity was contributed by compounds 1 - 4.
Pembelajaran Al-Qur’an dengan Metode An-Nahdliyah pada Era Pandemi Covid-19 (Studi Kasus di TPQ Al-Mubarok Dusun Sri Lestari Kampung Sriwijaya Mataram)

The method is an important part of the learning component, including learning the Qur'an. Uniquely, in the Bandar Mataram District area, they began to apply a "new" method in teaching the Koran to children, namely the an-Nahdhiyah method. This study seeks to describe the application of the an-Nahdliyah method in learning the Koran in the pandemic era, with the research background at TPQ Al-Mubarok, Sri Lestari Hamlet, Sriwijaya Village, Mataram. This empirical research uses a qualitative approach with a case study method. Direct observation techniques and structured interviews were used to obtain research data. Furthermore, the data were analyzed using data reduction techniques, data presentation and conclusion drawing. Finally, test the validity of the data through triangulation techniques. The results of this study indicate that (1) the use of the an-Nahdliyah method is quite effective in providing guidance and learning of the Qur'an to children, because the method is fun, not boring, and uses the beat of a classical stick; and (2) the application of the an-Nahdliyah method is carried out in 3 (three) stages, namely the letter recognition stage, the stage of understanding the beat as murottal reading, and the stage of reading together.
Smith ScholarWorks Smith ScholarWorks

The high mobility group (HMG) domain is a DNA-binding motif found in the non-histone chromosomal proteins, HMG1 and HMG2, and some transcription factors. Experimental evidence has demonstrated that HMG-domain proteins can play a role in sensitizing cells to the anticancer drug cisplatin. Fluorescence resonance energy transfer (FRET) experiments were performed in the present study to investigate structural changes that accompany complex formation between the HMG domain B of HMG1 and a cisplatin-modified, 20-base pair double-stranded DNA probe containing fluorescein and rhodamine tethered at its two ends. The binding affinity of HMG1 domain B for the cisplatin-modified DNA probe was investigated in fluorescence titration experiments, and a value of 60 6 30 n M was determined for the dissociation constant. Single photon counting methods were employed to measure the fluorescence lifetime of the fluorescein donor in the presence and absence of HMG1 domain B. These FRET experiments revealed a distance change that was used to estimate a bend angle of 80–95° for the cisplatin-modi-fied DNA upon protein binding. Stopped-flow fluorescence spectroscopic experiments afforded kinetic parameters for HMG1 domain B binding to the cisplatin-modified DNA probe, with k on 5 1.1 6 0.1 3 10 9 M 2 1 s 2 1 and k off 5 30 6 4 s 2 1 . The long term survival for testicular cancer patients treated with cis -diamminedichloroplatinum(II) (cisplatin), 1 exceeds 90% (1). If the detailed mechanism
Cushing's Syndrome : hormonal secretion patterns, treatment and outcome.

Objective: Postoperative meningitis is a well known complication of transsphenoidal surgery (TS S ). The objective of this study was to evaluate whether postoperative external cerobro-spinal (cid:148) uid (CS F) drainage in case of intraoperative CS F-leakage, reduces the risk of postoperative meningitis. Methods: W e retrospectively reviewed a series of 2 7 8 consecutive transsphenoidal operations. In all operations with intraoperative CS F leakage, an external lumbar drain (ELD) was inserted directly postoperatively, and removed after at least 5 days. The incidence of postoperative meningitis was compared with that in a previously studied series of 2 2 8 consecutive transsphenoidal operations, without insertion of an ELD in cases with intraoperative CS F leakage. Results: In the present series, postoperative meningitis occurred in 2 /2 7 8 (0 .7 % ) operations, compared to 7 /2 2 8 (3 .1 % ) operations in the previous study period (P < 0 .0 5 ). Intraoperative CS F leakage was noted in 7 0 /2 7 8 (2 5 .2 % ) operations. A ll these patients received an ELD immediately after surgery for at least 5 days. There were no reported complications of ELD insertion. In the present series, 1 of 7 0 (1 .4 % ) patients with intraoperative CS F leakage developed meningitis, compared to 3 of 2 2 (1 3 .6 % ) patients in the previous study (P < 0 .0 5 ). Conclusion: The present report on 2 7 8 consecutive transsphenoidal operations shows that the routine insertion of an ELD in patients in whom intraoperative CS F leakage is observed signi(cid:147) cantly reduces the incidence of postoperative meningitis. Possibly, diversion of CS F prevents the formation of a CS F (cid:147) stula and thereby the risk of infection. The role of prophylactic antibiotic treatment in patients with CS F rhinorrhea after TS S remains to be established.
Dynamic Learning-based Link Restoration in Trafﬁc Engineering with Archie

—Fiber cuts reduce network capacity and take a long time to ﬁx in optical wide-area networks. It is important to select the best restoration plan that minimizes throughput loss by reconﬁguring wavelengths on remaining healthy ﬁbers for affected IP links. Recent work studies optimal restoration plan or ticket selection problem in trafﬁc engineering (TE) in a one-shot setting of only one TE interval (5 minutes). Since ﬁber repair often takes hours, in this work, we extend to consider restoration ticket selection with trafﬁc dynamics over multiple intervals. To balance restoration performance with reconﬁguration overhead, we perform dynamic ticket selection every T time steps. We propose an end-to-end learning approach to solve this T - step ticket selection problem as a classiﬁcation task, combining trafﬁc trend extraction and ticket selection in the same learning model. It uses convolution LSTM network to extract temporal and spatial features from past demand matrices to determine the ticket most likely to perform well T steps down the road, without predicting future trafﬁc or solving any TE optimization. Trace-driven simulation shows that our new TE system, Archie, reduces over 25% throughput loss and is over 3500x faster than conventional demand prediction approach, which requires solving TE many times.