Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGARUH MEDIA PEMBELAJARAN MATHEMATIC HOUSE TERHADAP HASIL BELAJAR MATEMATIKA PADA MATERI BANGUN DATAR KELAS IV SEKOLAH DASAR ISLAM MUTIARA SAHARA

Penelitian ini bertujuan untuk mengetahui pengaruh media pembelajaran mathematic house terhadap hasil belajar matematika pada materi bangun datar kelas IV Sekolah Dasar Islam Mutiara Sahara. Metode yang digunakan dalam penelitian ini adalah metode penelitian eksperimen. Populasi dalam penelitian ini adalah seluruh siswa kelas IV SD Islam Mutiara Sahara. Sampel dalam penelitian ini adalah IV A yang berjumlah 19 siswa sebagai kelas eksperimen dan IV B yang berjumlah 19 siswa sebagai kelas kontrol. Teknik probability sampling adalah teknik pengambilan sampel yang dapat memberikan peluang yang sama bagi setiap populasi untuk dipilih menjadi anggota sampel. Pengambilan sampel menggunakan simple random sampling yaitu pengambilan anggota sampel dari populasi dilaksanakan secara acak tanpa memperhatikan strata yang ada dalam populasi itu. Berdasarkan hasil penelitian dan analisis pembahasan, data yang diperoleh dalam penelitian ini berdistribusi normal dan homogen dengan taraf signifikansi normalitas data 0,200 > 0,05, dan taraf signifikansi homogenitas data yaitu 0,975 > 0,05. Pengujian hipotesis dalam penelitian ini menggunakan uji Independent Sample Test (Uji-t). Hasil pengujian hipotesis yang diperoleh yaitu 0,000 < 0,05 yang menunjukkan bahwa media pembelajaran mathematic house berpengaruh terhadap hasil belajar matematika pada materi bangun datar kelas IV SD Islam Mutiara Sahara.
Who Can Change the World?

A life-long commitment to the public good has led me down many paths and helped me learn the lessons which have guided me through higher education. The process of conducting my independent international research project was a process of learning, thinking I knew everything, recognizing I actually knew very little, and then setting off to learn more. Partnering with community members and organizations allowed me to conduct meaningful research which presents a case for actively including marginalized community members in conservation and sustainable resource management efforts.
Analysis of Mangrove Vegetation and Distribution Using Landsat 8 Images In Bolaang Mongondow East, North Sulawesi

Mangrove is one of the objects that can be identified by remote sensing technology using satellite imagery. Analysis of the distribution and density of mangrove vegetation using Landsat 8 imagery was carried out in Bolaang Mongondow Timur, North Sulawesi in September 2020. This study aims to map the distribution of mangroves and determine the correlation between NDVI values, canopy cover, and mangrove density. The data analysis used Landsat 8 images with ENVI 5.3 and ArcGIS 10.1 software. Maximum likelihood classification is used to separate mangrove and non-mangrove features. The calculation of mangrove vegetation density using the NDVI algorithm and single-channel classification using the density slice method to divide mangrove density based on the range of pixel values of the NDVI image. Next, to test the accuracy of the classification results using an error matrix (confusion matrix) and the NDVI vegetation index correlation test compared with canopy cover and density data. The classification resulted in four different land cover classes with an overall accuracy of 97.70% and a kappa coefficient of 0.9688. The mangrove vegetation distribution from the classification results is 524.75 ha. The NDVI correlation with the percentage of canopy cover is very significant with a correlation coefficient (r) = 0.9516, while the NDVI correlation with density resulted in moderate correlation (r = 0.5315). Keywords: density; mangrove; Landsat 8; NDVI AbstrakMangrove merupakan salah satu objek yang dapat diidentifikasi menggunakan teknologi penginderaan jauh yakni memanfaatkan citra satelit. Analisis sebaran dan kerapatan vegetasi mangrove menggunakan citra Landsat 8 telah dilakukan di Bolaang Mongondow Timur, Sulawesi Utara pada bulan September 2020. Penelitian ini bertujuan untuk memetakan sebaran mangrove dan mengetahui hubungan korelasi antara nilai NDVI dengan tutupan kanopi dan kerapatan mangrove. Pengolahan data citra Landsat 8 dengan perangkat lunak ENVI 5.3 dan ArcGIS 10.1. Klasifikasi maximum likelihood digunakan untuk memisahkan fitur mangrove dan non mangrove. Perhitungan kerapatan vegetasi mangrove dengan algoritma NDVI dan klasifikasi saluran tunggal menggunakan metode density slice untuk membagi kerapatan mangrove berdasarkan rentang nilai piksel citra NDVI. Uji akurasi hasil klasifikasi menggunakan matriks kesalahan (confussion matriks) dan uji korelasi indeks vegetasi NDVI dengan data tutupan kanopi dan kerapatan. Hasil klasifikasi mendapatkan empat kelas tutupan lahan yang berbeda dengan overall akurasi sebesar 97,70 % dengan kappa coefisien sebesar 0,9688. Luas sebaran vegetasi mangrove dari hasil klasifikasi adalah 524,75 ha. Korelasi NDVI dengan persentase tutupan kanopi termasuk korelasi sangat kuat dengan koefisien korelasi r = 0,9516 sedangkan korelasi NDVI dengan kerapatan termasuk korelasi sedang (r = 0,5315). Kata kunci: kerapatan; mangrove; Landsat 8; NDVI
Radio interferometry depth sounding. II.

Experimental results from an analog scale model and from field tests on two glaciers using radio-frequency interferometry (RFI) are interpreted on the basis of previously described theoretical results. The RFI technique is found to be a practical method with which to study layering in low-loss dielectrics. Three parameters of the upper layer can be estimated from the data: the dielectric constant, the loss tangent, and an estimate of the thickness to a reflector. The method is an inexpensive way to sound ice sheets less than a few hundred meters thick, and could be used to study low-loss layers on the moon.
Robust actuator fault compensation accounting for uncertainty in the fault estimation

We propose a fault tolerant control scheme that compensates for actuator faults by adjusting the controller gain based on an estimate of the fault magnitude. The scheme consists of a plant in closed loop with an observer‐based feedback tracking controller, which is adapted to the fault situation diagnosed by a fault detection and isolation algorithm. We give conditions for correct fault detection and isolation and for robust closed‐loop stability accounting for possible errors in the fault estimation. Copyright © 2013 John Wiley & Sons, Ltd.
Contributions à l'analyse de sensibilité et à l'analyse discriminante généralisée

Deux themes sont abordes dans cette these : l'analyse de sensibilite et l'analyse discriminante generalisee. L'analyse de sensibilite globale d'un modele mathematique etudie comment les variables de sortie de ce dernier reagissent a des perturbations de ses entrees. Les methodes basees sur l'etude de la variance quantifient les parts de variance de la reponse du modele dues a chaque variable d'entree et chaque sous-ensemble de variables d'entree. Le premier probleme aborde est l'impact d'une incertitude de modele sur les resultats d'une analyse de sensibilite. Deux formes particulieres d'incertitude sont etudiees : celle due a une mutation du modele de reference, et celle due a l'utilisation d'un modele simplifie a la place du modele de reference. Un second probleme relatif a l'analyse de sensibilite a ete etudie au cours de cette these, celui des modeles a entrees correlees. En effet, les indices de sensibilite classiques n'ayant pas de signification (d'un point de vue interpretation) en presence de correlation des entrees, nous proposons une approche multidimensionnelle consistant a exprimer la sensibilite de la sortie du modele a des groupes de variables correlees. Des applications dans le domaine de l'ingenierie nucleaire illustrent ces travaux. L'analyse discriminante generalisee consiste a classer les individus d'un echantillon test en groupes, en utilisant l'information contenue dans un echantillon d'apprentissage, lorsque ces deux echantillons ne sont pas issus d'une meme population. Ce travail etend les methodes existantes dans un cadre gaussien au cas des donnees binaires. Une application en sante publique illustre l'utilite des modeles de discrimination generalisee ainsi definis.
Novel Methods for Aggregating Analyst Estimates

In equity investment management, sell side analysts provide estimates of companies' financial metrics. The capture of analyst estimates provide a systematic and quantitative proxy for market sentiment. Thus far the academic literature analysing this dataset has resolved to use relatively simple methods for aggregating the individual estimates to arrive at a consensus estimate. In this paper, we present a systematic review of academic literature relating to the study of analyst estimates. Iterative filtering algorithms are proposed as a novel alternative to the aggregation of analyst estimates. We present preliminary results of applying the algorithm to real-world datasets. The results suggest iterative filtering methods improve upon the forecast accuracy of the consensus forecast compared to a mean consensus.
Further analysts of the data by akaike' s information criterion and the finite corrections

Using Akaike's information criterion, three examples of statistical data are reanalyzed and show reasonably definite conclusions. One is concerned with the multiple comparison problem for the means in normal populations. The second is concerned with the grouping of the categories in a contingency table. The third is concerned with the multiple comparison problem for the analysis of variance by the iogit model in contingency tables, Finite correction of Akaike's information criterionis also proposed.
MARKET REACTION TO THE COVID-19 PANDEMIC (CASE STUDY ON RETAIL COMPANIES LISTED ON THE IDX)

One of the sectors affected by the COVID-19 pandemic is the retail sector. The share prices of issuers engaged in the retail sector are mostly traded in the red zone. This study aims to find out how the Indonesian market, especially in the retail sector, reacted to the COVID-19 pandemic. Observations were made in a period of 1 month before and 1 month after the event as the event window in this study was determined based on WHO declaration on Corona Virus (COVID-19) as a global pandemic at March 11, 2020. Fifteen samples were obtained in this study using purposive sampling method. The testing was carried out using SPSS paired sample t-test. The results of hypothesis testing in this study indicate that all proposed hypotheses (Ha1, Ha2 and Ha3) are accepted. Thus, the market reacted to the WHO's designation of the corona virus (COVID-19) as a global pandemic with a decrease in cumulative abnormal returns, a decrease in stock prices and an increase in trading volume.
Effect of Phytase Level and Form on Broiler Performance, Tibia Characteristics, and Residual Fecal Phytate Phosphorus in Broilers from 1 to 21 Days of Age

Simple Summary The demand for poultry products is increasing at the same time as the prices of raw materials and other ingredients used in feed manufacturing, leading to the implementation of strategies to improve nutrient utilization in broiler diets and reduce feeding costs. One strategy used in broiler production is the dietary supplementation of phytase, an enzyme that assists in phytate degradation. Phytate is the primary storage form of phosphorus (P) in seeds and it accounts for two-thirds of the P in vegetable feedstuffs. Dietary phytase supplementation has become a common practice because the activity of endogenous phytase in broilers does not allow for the adequate utilization of phytate-bound P. Consequently, the effects of phytase have been widely studied and the beneficial effects on broiler growth performance and reduced P excretion into the environment have been previously described. In the present study, broilers were fed a diet with a combination of two phytase forms (coated and uncoated) to assess the effects on broiler performance, tibia characteristics, and residual fecal phytate P. The results indicated no distinct advantage of combining phytase forms, but this information may be useful for the direction of future research. Abstract The present study evaluated the individual and combined effects of coated and uncoated phytase on broiler performance, tibia characteristics, and residual phytate phosphorus (P) in manure. Two repeated studies were conducted using 240-day-old Cobb 500 by-product male broilers per trial. For each trial, birds were assigned to four treatments with four replicate battery cages per treatment (60 birds/trt) and grown for 21 days. Treatments included: (1) negative control (NC), (2) NC + 1000 phytase units (FTU) coated phytase (C), (3) NC + 1000 FTU uncoated phytase (U), and (4) NC + 500 FTU coated + 500 FTU uncoated phytase (CU). Data were analyzed with a one-way ANOVA and means were separated using Tukey’s HSD. In the pooled data for both trials, all treatments with dietary phytase had a higher body weight (BW) and feed consumption (FC) than the NC on day 21 (p < 0.05). Similarly, a six-point reduction was observed for day 1 to 21 feed conversion (FCR) for U and CU (p < 0.05). All treatments with phytase inclusion differed from the NC in every evaluated parameter for bone mineralization (p < 0.05) and had significantly lower fecal phytate P concentrations compared to the NC (p < 0.05). Overall, bird performance was essentially unaffected by phytase form, indicating that combining phytase forms does not appear to offer any advantage to the evaluated parameters from day 1 to 21.
The Impact of Delayed Surgical Care on Patient Outcomes With Alimentary Tract Perforation: Insight From a Low-Middle Income Country

Introduction In-patient delay is associated with increased mortality in patients with alimentary tract perforations. Access to surgical care is a glaring health issue in low-middle income countries (LMICs), where patient presentation is also delayed for a myriad of reasons, which can be broadly categorized as social/cultural, financial, and structural in their nature. The impact these delays have on surgical outcomes in low-middle income countries is not known. Methods A retrospective cohort study of patients who underwent emergency laparotomy for alimentary tract perforation from July 2015 to June 2018 was conducted at a tertiary care hospital in Karachi, Pakistan. Time was recorded in two variables: symptom onset to emergency room presentation (ERT) and emergency room to operation room time (ORT). Results Overall, 80 patients were included in the study. The 12 (15%) patients who expired were significantly older (57 ± 17.7 years of age), had a higher Charlson Comorbidity Index and had longer ORT [median ORT in hours-discharged vs expired: 8.2 (IQR 5-15) vs 16 (IQR 12-28) p=0.02]. ERT was also longer but lacked statistical significance [median ERT in hours-discharged vs expired: 24 (IQR 22-72) vs 48 (IQR 24-120) p=0.19]. Multivariable logistic regression analysis revealed ORT to be significantly associated with mortality [odds ratio (OR): 1.02, 95% confidence interval (CI): 1.003-1.041; p=0.02]. Adjusted Cox regression analysis showed that each hour of ORT increased the risk of mortality by 1.5% [hazard ratio (HR) 1.015, 95% CI 1.001-1.030]. Conclusion Inpatient delays increased the risk of mortality for patients undergoing emergency laparotomy for alimentary tract perforation. Larger sample sizes and prospective studies are needed to better understand this relationship and the impact pre-hospital delays have on outcomes.
Atención temprana centrada en la familia: confianza, competencia y calidad de vida familiar

La calidad de vida familiar (CdVF) es considerada el objetivo último de la intervención en Atención Temprana (AT) y un indicador de la calidad de estos servicios. La eficacia de los programas de AT debe objetivarse considerando este constructo junto con otros resultados familiares, además de los relativos al progreso del menor. A este efecto, el presente estudio analiza la CdVF y la confianza y competencia parental de 43 familias españolas de niños y niñas de 0 a 6 años en AT, y examina el rol predictor y mediador de la confianza y competencia parental en la CdVF. Se lleva a cabo un estudio transversal, correlacional y descriptivo. Las medidas utilizadas son la Everyday Parenting Scale (versión modificada) y la escala Con-Fam de competencia parental en AT. Asimismo, se utiliza la Escala de Calidad de Vida de las familias en Atención Temprana (FEIQoL). Los resultados indican una percepción aceptable de CdVF, así como de confianza y competencia parental de las familias. Existe una fuerte relación directa entre la confianza y competencia parental y la CdVF. Se encuentra que características de servicio de AT como un mayor número de profesionales se relacionan con una menor confianza y competencia parental, una peor percepción del funcionamiento del niño y, en consecuencia, menos CdVF. Se presentan implicaciones para futuros estudios y prospectiva para los servicios.
SPES: A Symbolic Approach to Proving Query Equivalence Under Bag Semantics

In database-as-a-service platforms, automated ver-ification of query equivalence helps eliminate redundant computation in the form of overlapping sub-queries. Researchers have proposed two pragmatic techniques to tackle this problem. The first approach consists of reducing the queries to algebraic expressions and proving their equivalence using an algebraic theory. The limitations of this technique are threefold. It cannot prove the equivalence of queries with significant differences in the attributes of their relational operators (e.g., predicates in the filter operator). It does not support certain widely-used SQL features (e.g., NULL values). Its verification procedure is computationally intensive. The second approach transforms this problem to a constraint satisfaction problem and leverages a general-purpose solver to determine query equivalence. This technique consists of deriving the symbolic representation of the queries and proving their equivalence by determining the query containment relationship between the symbolic expressions. While the latter approach addresses all the limitations of the former technique, it only proves the equivalence of queries under set semantics (i.e., output tables must not contain duplicate tuples). However, in practice, database applications use bag semantics (i.e., output tables may contain duplicate tuples) In this paper, we introduce a novel symbolic approach for proving query equivalence under bag semantics. We transform the problem of proving query equivalence under bag semantics to that of proving the existence of a bijective, identity map between tuples returned by the queries on all valid inputs. We classify SQL queries into four categories, and propose a set of novel category-specific verification algorithms. We implement this symbolic approach in SPES and demonstrate that it proves the equivalence of a larger set of query pairs (95/232) under bag semantics compared to the SOTA tools based on algebraic (30/232) and symbolic approaches (67/232) under set and bag semantics, respectively. Furthermore, SPES is 3X faster than the symbolic tool that proves equivalence under set semantics.
Analiza parametrów elektromechanicznych rozrusznika samochodowego z silnikiem bezszczotkowym

Przeprowadzono analize obliczeniową parametrow elektromechanicznych rozrusznika samochodowego z silnikiem bezszczotkowym prądu stalego (BLDC) w roznych warunkach pracy. Wyznaczono wplyw zmiany temperatury otoczenia, pojemności akumulatora oraz pojemności skokowej silnika spalinowego na przebiegi czasowe wielkości elektrycznych i mechanicznych. Obliczenia wykonano za pomocą opracowanego programu w środowisku Matlab. Zamieszczono przykladowe przebiegi czasowe wielkości elektrycznych i mechanicznych.
Fully distributed containment of multiple‐input‐multiple‐output linear multi‐agent systems with multiple nonautonomous leaders

In this article, we study the fully distributed containment problem for multiple‐input‐multiple‐output linear multi‐agent systems (MASs) with multiple nonautonomous leaders (i.e., leaders with nonzero inputs). First, based on an unknown input observer (UIO) with full order and by using unit vector method, we design an adaptive discontinuous controller, where the adaptive law is used to adjust network coupling strengths. And by using Barbǎlat lemma, we show that fully distributed containment can be achieved if the graph is connected and the subgraph among multiple followers is detail balanced. Second, we study fully distributed containment for MASs under an adaptive discontinuous controller based on a UIO with reduced order. Moreover, we study the case with directed switching topology. Finally, we perform simulations on a team of aircrafts to validate the theoretical results.
Experiences of Diabetic Vulnerability Community in Health Protocol Compliance During the COVID-19 Pandemic

Introduction: Compliance with health protocols in the community including the Diabetic Vulnerable Group is one step to prevent the transmission of COVID-19, but the decline in physical and psychosocial functions in the Diabetic Vulnerable Group can be an obstacle for the Diabetic Vulnerable Group in implementing health protocols. This study aims to explore the experience of the Diabetic Vulnerable Group in implementing health protocols during the COVID-19 pandemic. Methods: A qualitative research conducted in Jatiduwur, Jombang, East Java, by conducting In-Depth interviews on 10 Diabetic Vulnerable Groups as main informants and 2 supporting informants, Ponkesdes Nurses and Midwives. Results: There are 3 themes that can be concluded from this study, namely 1) Description of various experiences of the Diabetic Vulnerable Group in implementing health protocols (uncomfortable using masks, uncomfortable washing hands frequently, keeping distance is not a problem and often forgetting to apply health protocols); 2) Motivation of the Diabetic Vulnerable Group in implementing health protocols (for health, so that the pandemic will pass quickly and government regulations compliance) and 3) Support for the Diabetic Vulnerable Group in implementing health protocols (family support and social support). Conclusion: The various experiences felt by the Diabetic Vulnerable Group in implementing health protocols are an illustration of a decrease in physical and psychosocial functions but the Diabetic Vulnerable Group remains motivated because they follow government recommendations and there is good support from families, from fellow Diabetic Vulnerable Groups and from other parties Village government.